From ee0487a54cbe7abb1d8287e7aad8209da0fb50ab Mon Sep 17 00:00:00 2001 From: salimM21 Date: Fri, 31 Oct 2025 21:51:28 +0100 Subject: [PATCH] =?UTF-8?q?Exemple=20d=E2=80=99un=20batch=20de=20test?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- data/X_test.pkl | Bin 0 -> 153307 bytes data/X_train.pkl | Bin 0 -> 608731 bytes data/processed_test.csv | 3630 +++++++ data/processed_train.csv | 9613 +++++++++++++++++ data/y_test.pkl | Bin 0 -> 64737 bytes data/y_train.pkl | Bin 0 -> 256481 bytes .../meta.yaml | 14 + .../metrics/accuracy | 2 + .../metrics/f1 | 2 + .../meta.yaml | 6 + .../params/note | 1 + .../tags/imbalance_strategy | 1 + .../tags/mlflow.runName | 1 + .../tags/mlflow.source.git.commit | 1 + .../tags/mlflow.source.name | 1 + .../tags/mlflow.source.type | 1 + .../tags/mlflow.user | 1 + .../tags/model_name | 1 + .../artifacts/MLmodel | 22 + .../artifacts/conda.yaml | 15 + .../artifacts/model.pkl | Bin 0 -> 477 bytes 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+498.0,Germany,Male,45.0,7.0,109200.74,2.0,0.0,1.0,165990.44, +512.0,Spain,Female,35.0,5.0,124580.69,1.0,1.0,1.0,18785.48, +651.0,Spain,Male,45.0,4.0,0.0,2.0,0.0,0.0,193009.21, +767.0,Spain,Female,24.0,5.0,0.0,2.0,1.0,1.0,67445.85, +758.0,France,Female,39.0,6.0,127357.76,1.0,0.0,1.0,56577.0,0.0 +625.0,France,Male,49.0,6.0,173434.9,1.0,1.0,0.0,165580.93,0.0 +627.0,Germany,Female,39.0,5.0,124586.93,1.0,1.0,0.0,93132.61, +803.0,France,Female,40.0,6.0,165526.71,1.0,1.0,0.0,12328.08, +692.0,France,Male,28.0,5.0,61581.97,1.0,1.0,1.0,70179.91, +801.0,France,Female,32.0,4.0,75170.54,1.0,1.0,1.0,37898.5, +793.0,Germany,Female,34.0,5.0,127758.09,1.0,1.0,0.0,143357.03, +569.0,France,Female,35.0,4.0,93934.63,1.0,1.0,0.0,184748.23, +694.0,Spain,Female,35.0,7.0,0.0,1.0,1.0,0.0,133570.43, +739.0,Spain,Male,60.0,4.0,0.0,1.0,1.0,1.0,51637.67, +777.0,France,Male,43.0,1.0,0.0,2.0,1.0,0.0,21785.91, +438.0,France,Male,38.0,2.0,0.0,2.0,1.0,0.0,136859.55, +698.0,Germany,Female,36.0,7.0,121263.62,1.0,1.0,1.0,13387.88, +777.0,France,Male,37.0,1.0,0.0,1.0,1.0,1.0,126837.72, +483.0,France,Female,50.0,9.0,0.0,2.0,1.0,1.0,111020.24,0.0 +727.0,France,Male,32.0,1.0,59271.82,1.0,1.0,1.0,46019.43, +748.0,France,Male,60.0,0.0,152335.7,1.0,1.0,0.0,126743.33, +700.0,Germany,Female,30.0,4.0,116377.48,1.0,1.0,1.0,134417.31, +601.0,Germany,Male,43.0,3.0,141859.12,2.0,1.0,1.0,111249.62, +694.0,Spain,Male,38.0,7.0,121527.4,1.0,1.0,0.0,113481.02, +622.0,Spain,Male,42.0,9.0,0.0,2.0,1.0,0.0,119127.06, +621.0,Spain,Male,41.0,5.0,104631.67,1.0,1.0,1.0,95551.22, +664.0,France,Female,34.0,7.0,93920.47,1.0,0.0,0.0,179913.98, +529.0,France,Female,27.0,1.0,0.0,2.0,1.0,1.0,37769.98, +617.0,France,Female,30.0,8.0,0.0,1.0,1.0,1.0,92621.9, +633.0,France,Male,37.0,7.0,141546.35,1.0,1.0,1.0,124830.11, +714.0,France,Female,31.0,4.0,125169.26,1.0,1.0,1.0,106636.89,1.0 +790.0,France,Female,40.0,9.0,0.0,2.0,1.0,1.0,70607.1, +698.0,France,Male,33.0,5.0,135658.73,2.0,0.0,1.0,39755.0, +591.0,Spain,Male,29.0,1.0,97541.24,1.0,1.0,1.0,196356.17,0.0 +780.0,Germany,Male,71.0,9.0,142550.25,2.0,1.0,1.0,122506.78, +700.0,France,Female,30.0,9.0,0.0,1.0,1.0,1.0,174971.64, +757.0,Germany,Female,34.0,9.0,101861.36,2.0,0.0,0.0,187011.96, +717.0,Spain,Male,33.0,1.0,99106.73,1.0,0.0,0.0,194467.23, +655.0,France,Female,26.0,7.0,106198.5,1.0,0.0,1.0,32020.42, +649.0,France,Female,46.0,2.0,0.0,2.0,1.0,1.0,66602.7, +482.0,Germany,Female,48.0,2.0,69329.47,1.0,0.0,0.0,102640.52, +571.0,France,Male,32.0,5.0,131354.25,1.0,1.0,0.0,125256.53, +643.0,France,Female,45.0,4.0,45144.43,1.0,1.0,0.0,60917.24,0.0 +651.0,Spain,Male,23.0,4.0,115636.05,2.0,1.0,0.0,70400.86, +752.0,Germany,Male,30.0,4.0,81523.38,1.0,1.0,1.0,36885.85,0.0 +695.0,Spain,Male,56.0,1.0,0.0,3.0,1.0,0.0,187734.49, +598.0,Spain,Male,39.0,1.0,0.0,2.0,1.0,0.0,159130.32, +699.0,France,Male,39.0,9.0,0.0,1.0,1.0,0.0,80963.92,0.0 +714.0,Spain,Male,44.0,7.0,0.0,1.0,0.0,1.0,6923.11, +585.0,Spain,Male,45.0,0.0,0.0,2.0,0.0,0.0,189683.7, +564.0,Germany,Female,33.0,2.0,115761.51,1.0,0.0,1.0,112350.21, +733.0,Spain,Female,32.0,5.0,0.0,2.0,1.0,0.0,131625.14, +599.0,France,Male,34.0,8.0,0.0,2.0,1.0,1.0,174196.68, +714.0,France,Female,24.0,7.0,0.0,2.0,1.0,0.0,166335.0, +750.0,Spain,Female,37.0,2.0,113817.06,1.0,0.0,0.0,88333.74, +694.0,France,Female,29.0,5.0,99713.87,1.0,0.0,0.0,112317.89, +741.0,France,Female,36.0,3.0,0.0,2.0,1.0,1.0,89804.83, +702.0,Germany,Female,23.0,7.0,98775.23,1.0,1.0,0.0,114603.96, +673.0,France,Male,37.0,4.0,0.0,2.0,0.0,0.0,163563.07, +677.0,France,Male,46.0,2.0,57037.74,1.0,1.0,1.0,158531.01, +595.0,Germany,Female,26.0,8.0,118547.72,1.0,1.0,1.0,151192.18, +576.0,Spain,Male,52.0,2.0,100549.43,2.0,1.0,1.0,16644.16, +676.0,Spain,Female,64.0,4.0,116954.32,1.0,1.0,1.0,91149.48, +689.0,France,Male,40.0,8.0,160272.27,1.0,1.0,0.0,49656.24, +711.0,France,Male,38.0,10.0,0.0,2.0,0.0,0.0,53311.78, +459.0,France,Male,26.0,4.0,149879.66,1.0,0.0,0.0,50016.17, +834.0,Spain,Male,34.0,5.0,0.0,2.0,0.0,0.0,53437.1, +717.0,France,Female,41.0,3.0,135756.96,1.0,1.0,1.0,103706.41,0.0 +720.0,France,Male,44.0,3.0,86102.27,1.0,1.0,0.0,180134.88, +559.0,France,Male,34.0,4.0,0.0,2.0,1.0,1.0,66721.98,0.0 +548.0,Germany,Male,32.0,2.0,98986.28,1.0,1.0,1.0,55867.38, +666.0,Germany,Male,31.0,3.0,123212.08,2.0,1.0,1.0,112157.31, +729.0,Germany,Female,42.0,4.0,97495.8,2.0,0.0,0.0,2002.5, +655.0,Spain,Male,38.0,3.0,250898.09,3.0,0.0,1.0,81054.0, +631.0,Germany,Female,29.0,2.0,96863.52,2.0,1.0,1.0,31613.35, +686.0,France,Male,26.0,7.0,0.0,2.0,1.0,0.0,1540.89, +776.0,France,Male,36.0,1.0,0.0,2.0,1.0,0.0,53477.76, +596.0,Germany,Female,27.0,2.0,151027.56,1.0,1.0,0.0,170320.58, +632.0,France,Male,40.0,3.0,193354.86,2.0,1.0,0.0,149188.41, +522.0,Germany,Female,25.0,5.0,94049.92,2.0,1.0,0.0,103269.0, +813.0,France,Male,29.0,6.0,0.0,1.0,1.0,0.0,33953.87,0.0 +775.0,Germany,Male,51.0,2.0,123783.25,1.0,1.0,1.0,134901.57, +426.0,France,Male,34.0,9.0,0.0,2.0,1.0,0.0,107876.91, +600.0,Germany,Male,30.0,2.0,119755.0,1.0,1.0,1.0,21852.91, +619.0,Spain,Male,46.0,8.0,62400.48,1.0,1.0,1.0,132498.39, +691.0,France,Male,52.0,3.0,0.0,1.0,1.0,0.0,175843.68,1.0 +606.0,Spain,Male,37.0,8.0,154712.58,2.0,1.0,0.0,89099.18, +716.0,Spain,Male,42.0,8.0,0.0,2.0,1.0,0.0,180800.42,0.0 +612.0,Spain,Female,62.0,0.0,167026.61,2.0,1.0,1.0,192892.05, +747.0,Spain,Male,37.0,1.0,0.0,2.0,0.0,1.0,180551.76, +711.0,Germany,Male,43.0,2.0,39043.29,2.0,1.0,1.0,175423.69, +638.0,Spain,Male,34.0,5.0,146679.77,1.0,1.0,0.0,102179.86, +582.0,France,Male,29.0,4.0,0.0,2.0,0.0,0.0,156153.27, +756.0,France,Male,31.0,10.0,122647.32,1.0,0.0,0.0,61666.87, +727.0,Spain,Male,38.0,2.0,62276.99,1.0,1.0,1.0,59280.79,0.0 +524.0,France,Male,32.0,1.0,144875.71,1.0,0.0,0.0,187740.04, +768.0,France,Male,29.0,2.0,95984.69,2.0,1.0,1.0,73686.75, +639.0,France,Female,60.0,5.0,162039.78,1.0,1.0,1.0,84361.72, +468.0,Germany,Male,42.0,9.0,181627.14,2.0,1.0,0.0,172668.39,0.0 +524.0,France,Male,22.0,9.0,0.0,2.0,1.0,0.0,74405.34, +771.0,Spain,Female,33.0,5.0,0.0,2.0,1.0,0.0,8673.43, +568.0,France,Male,28.0,5.0,145105.64,2.0,1.0,0.0,185489.11,0.0 +839.0,Spain,Female,33.0,10.0,75592.43,1.0,1.0,0.0,62674.42,0.0 +527.0,Germany,Female,39.0,9.0,96748.89,2.0,1.0,0.0,94711.43, +463.0,Germany,Female,41.0,8.0,123151.51,2.0,1.0,0.0,70127.93, +478.0,France,Male,35.0,1.0,92474.05,1.0,1.0,0.0,178626.07, +693.0,Spain,Female,45.0,4.0,0.0,2.0,1.0,1.0,26589.56, +649.0,Spain,Male,20.0,5.0,0.0,2.0,1.0,1.0,58309.54, +711.0,Spain,Male,36.0,8.0,0.0,2.0,1.0,0.0,55207.41, +729.0,Germany,Male,26.0,4.0,97268.1,2.0,1.0,0.0,39356.38, +653.0,Spain,Male,55.0,7.0,0.0,2.0,1.0,1.0,41967.03, +594.0,France,Female,53.0,4.0,0.0,1.0,1.0,0.0,5408.74, +669.0,Spain,Male,51.0,3.0,88827.53,1.0,0.0,0.0,85250.77, +651.0,Spain,Male,47.0,2.0,0.0,2.0,1.0,1.0,119808.64, +745.0,France,Female,40.0,6.0,131184.67,1.0,1.0,1.0,49815.62, +747.0,France,Male,61.0,7.0,155973.13,1.0,0.0,1.0,147554.26,0.0 +487.0,France,Male,45.0,2.0,0.0,2.0,1.0,0.0,77475.73, +738.0,France,Female,67.0,1.0,130652.52,1.0,0.0,1.0,22762.23, +773.0,France,Male,52.0,4.0,0.0,1.0,0.0,1.0,144113.42,0.0 +742.0,Germany,Female,44.0,8.0,107926.02,1.0,0.0,1.0,17375.27, +588.0,Spain,Female,22.0,9.0,67178.19,1.0,1.0,1.0,163534.75, +501.0,France,Female,34.0,5.0,0.0,1.0,1.0,0.0,27380.99, +615.0,France,Male,30.0,8.0,0.0,2.0,0.0,0.0,3183.15, +683.0,France,Female,73.0,8.0,137732.23,2.0,1.0,1.0,133210.44, +488.0,France,Female,22.0,6.0,0.0,2.0,1.0,1.0,66393.89, +465.0,France,Male,25.0,2.0,78247.31,2.0,1.0,1.0,10472.31,0.0 +703.0,France,Male,56.0,9.0,0.0,1.0,0.0,0.0,85547.33, +654.0,Germany,Male,31.0,5.0,150593.59,2.0,1.0,1.0,105218.45, +770.0,France,Female,68.0,2.0,183555.24,1.0,0.0,0.0,159557.28, +713.0,Germany,Female,38.0,7.0,144606.22,1.0,1.0,1.0,56594.36,0.0 +818.0,France,Male,36.0,4.0,0.0,2.0,1.0,1.0,8037.03, +571.0,Spain,Female,22.0,3.0,108117.1,1.0,0.0,1.0,53328.7, +778.0,Spain,Female,47.0,6.0,127299.34,2.0,1.0,0.0,124694.99,0.0 +811.0,Spain,Male,39.0,7.0,0.0,2.0,1.0,1.0,177519.39, +434.0,Germany,Male,71.0,9.0,119496.87,1.0,1.0,0.0,125848.88, +601.0,France,Female,43.0,2.0,0.0,1.0,1.0,0.0,49713.87, +586.0,Germany,Male,32.0,1.0,149814.54,1.0,1.0,0.0,31830.06, +554.0,Spain,Male,26.0,8.0,149134.46,1.0,1.0,1.0,177966.24, +656.0,France,Male,50.0,7.0,0.0,2.0,0.0,1.0,72143.44,0.0 +693.0,France,Male,36.0,8.0,178111.82,1.0,0.0,0.0,58719.63, +500.0,Germany,Male,30.0,2.0,125495.64,2.0,1.0,1.0,68807.47, +501.0,France,Male,44.0,4.0,142051.07,2.0,0.0,1.0,74940.5,0.0 +672.0,France,Male,28.0,4.0,167268.98,1.0,1.0,1.0,169469.3, +723.0,Spain,Male,30.0,1.0,0.0,3.0,1.0,0.0,164647.72, +573.0,France,Female,32.0,9.0,125321.84,2.0,1.0,1.0,130234.63, +684.0,Spain,Female,41.0,1.0,134177.06,1.0,0.0,0.0,177506.66, +462.0,France,Male,39.0,4.0,140133.08,2.0,0.0,0.0,131304.45, +764.0,Spain,Female,48.0,1.0,75990.97,1.0,1.0,0.0,158323.81, +775.0,France,Male,40.0,9.0,126212.64,1.0,1.0,0.0,70196.57, +528.0,Germany,Female,29.0,9.0,170214.23,2.0,1.0,0.0,49284.0, +582.0,France,Female,43.0,5.0,153313.67,1.0,0.0,0.0,170563.73, +699.0,Germany,Male,34.0,4.0,185173.81,2.0,1.0,0.0,120834.48,0.0 +850.0,France,Male,39.0,6.0,96863.13,1.0,1.0,1.0,121681.19, +633.0,France,Male,29.0,10.0,130206.28,1.0,1.0,0.0,184654.87, +659.0,Germany,Male,39.0,8.0,52106.33,2.0,1.0,1.0,107964.36, +695.0,France,Male,46.0,4.0,0.0,2.0,1.0,1.0,137537.22,0.0 +754.0,Germany,Female,55.0,3.0,161608.81,1.0,1.0,0.0,8080.85,0.0 +809.0,France,Male,36.0,9.0,68881.59,2.0,0.0,1.0,109135.11, +707.0,France,Male,29.0,4.0,0.0,2.0,1.0,0.0,139953.94, +656.0,Spain,Male,26.0,4.0,139584.57,1.0,1.0,0.0,36308.93, +720.0,Spain,Female,59.0,6.0,0.0,2.0,1.0,1.0,160849.43, +456.0,France,Female,63.0,1.0,165350.61,2.0,0.0,0.0,140758.07, +572.0,Germany,Male,51.0,8.0,97750.07,3.0,1.0,1.0,193014.26, +818.0,Germany,Male,43.0,10.0,105301.5,1.0,1.0,1.0,78941.59, +612.0,Germany,Female,36.0,2.0,130700.92,2.0,0.0,0.0,77592.8, +578.0,Spain,Male,36.0,1.0,157267.95,2.0,1.0,0.0,141533.19, +558.0,France,Male,33.0,0.0,108477.49,1.0,1.0,1.0,109096.71, +835.0,Spain,Male,45.0,3.0,100212.13,1.0,1.0,0.0,152577.62, +631.0,Spain,Male,55.0,9.0,99685.06,1.0,1.0,0.0,114474.98, +670.0,France,Male,68.0,4.0,0.0,2.0,1.0,1.0,11426.7, +670.0,Germany,Female,32.0,4.0,102954.68,2.0,0.0,1.0,134942.45, +702.0,Spain,Male,39.0,8.0,0.0,2.0,1.0,0.0,99654.13,0.0 +559.0,Spain,Male,34.0,0.0,0.0,1.0,1.0,0.0,182988.94, +729.0,Germany,Male,39.0,6.0,127415.85,1.0,1.0,1.0,184977.2, +642.0,Spain,Male,26.0,8.0,144238.7,1.0,1.0,1.0,184399.76, +618.0,France,Female,35.0,10.0,0.0,2.0,1.0,0.0,180439.75,0.0 +797.0,France,Female,55.0,10.0,0.0,4.0,1.0,1.0,49418.87, +546.0,Germany,Female,52.0,1.0,106074.89,1.0,1.0,1.0,23548.45, +797.0,France,Male,45.0,8.0,0.0,1.0,0.0,0.0,125110.02, +615.0,Spain,Male,59.0,4.0,155766.05,1.0,1.0,1.0,110275.17, +707.0,France,Male,37.0,1.0,0.0,2.0,0.0,1.0,6035.51, +850.0,Germany,Male,41.0,8.0,60880.68,1.0,1.0,0.0,31825.84, +524.0,Spain,Female,64.0,5.0,0.0,1.0,1.0,0.0,136079.64, +537.0,Spain,Female,33.0,7.0,136082.0,1.0,1.0,0.0,62746.54, +616.0,Germany,Male,41.0,10.0,113220.2,2.0,1.0,1.0,114072.91, +622.0,Spain,Female,58.0,2.0,0.0,2.0,1.0,1.0,33277.31, +677.0,Germany,Female,39.0,0.0,111213.64,2.0,1.0,1.0,147578.26, +484.0,Germany,Female,55.0,8.0,149349.58,3.0,0.0,0.0,137519.92, +489.0,Spain,Male,40.0,3.0,221532.8,1.0,1.0,0.0,171867.08, +638.0,Spain,Male,48.0,2.0,0.0,2.0,1.0,1.0,7919.08, +591.0,France,Male,24.0,6.0,147360.0,1.0,1.0,1.0,25310.82,0.0 +539.0,France,Female,40.0,7.0,81132.21,1.0,1.0,0.0,167289.82, +691.0,France,Male,37.0,9.0,149405.18,1.0,1.0,1.0,146411.6, +517.0,Spain,Male,46.0,4.0,0.0,1.0,1.0,0.0,22372.78, +668.0,Spain,Female,30.0,8.0,0.0,2.0,1.0,0.0,138465.7, +741.0,France,Female,35.0,1.0,0.0,2.0,1.0,0.0,36557.55, +631.0,Spain,Male,27.0,10.0,134169.62,1.0,1.0,1.0,176730.02,0.0 +662.0,France,Male,38.0,0.0,105271.56,1.0,0.0,1.0,179833.45, +666.0,France,Male,36.0,3.0,0.0,2.0,1.0,0.0,35156.54, +602.0,Spain,Female,42.0,1.0,138912.17,1.0,1.0,1.0,139494.75, +633.0,France,Male,43.0,5.0,0.0,2.0,1.0,1.0,48249.88, +589.0,Spain,Female,45.0,1.0,0.0,1.0,0.0,0.0,125939.22, +579.0,Spain,Male,37.0,4.0,0.0,2.0,1.0,1.0,32246.63, +662.0,Spain,Male,33.0,3.0,0.0,2.0,0.0,1.0,68064.83, +529.0,France,Male,61.0,1.0,0.0,2.0,1.0,1.0,191370.97, +612.0,France,Male,41.0,5.0,0.0,3.0,0.0,0.0,151256.22, +537.0,France,Male,38.0,3.0,0.0,2.0,0.0,0.0,141023.01, +653.0,France,Female,38.0,8.0,102133.38,1.0,1.0,1.0,166520.96,0.0 +713.0,Germany,Male,45.0,4.0,131038.14,1.0,1.0,0.0,74005.04, +586.0,Germany,Female,47.0,5.0,157099.47,2.0,1.0,1.0,65481.86, +508.0,France,Female,64.0,2.0,0.0,1.0,1.0,1.0,6076.62, +594.0,Germany,Female,26.0,6.0,135067.52,2.0,0.0,0.0,131211.86,1.0 +555.0,France,Male,29.0,4.0,128744.04,1.0,1.0,1.0,47454.93, +704.0,France,Male,47.0,5.0,0.0,2.0,1.0,1.0,145338.61, +771.0,Spain,Male,18.0,1.0,0.0,2.0,0.0,0.0,41542.95, +710.0,France,Female,32.0,3.0,0.0,1.0,1.0,0.0,94790.34, +589.0,Germany,Female,41.0,7.0,92618.62,1.0,1.0,1.0,101178.85, +676.0,Spain,Male,36.0,1.0,82729.49,1.0,1.0,0.0,113810.12, +596.0,Spain,Male,32.0,4.0,0.0,2.0,0.0,1.0,146504.35, +697.0,France,Female,25.0,4.0,165686.11,2.0,1.0,0.0,15467.98,1.0 +490.0,France,Male,33.0,1.0,0.0,2.0,1.0,1.0,80792.83, +682.0,France,Male,37.0,5.0,0.0,2.0,0.0,1.0,112554.68, +670.0,Spain,Male,42.0,3.0,81589.04,1.0,1.0,0.0,188227.8,1.0 +587.0,Germany,Male,33.0,6.0,132603.36,1.0,1.0,0.0,55775.72, +554.0,Germany,Female,37.0,4.0,58629.97,1.0,0.0,0.0,182038.6,0.0 +673.0,France,Female,38.0,2.0,170061.92,2.0,0.0,0.0,134901.34,0.0 +522.0,Germany,Male,32.0,8.0,124450.36,2.0,1.0,1.0,165786.1, +579.0,France,Male,35.0,1.0,0.0,2.0,1.0,0.0,4460.2,1.0 +687.0,Spain,Male,31.0,3.0,0.0,2.0,0.0,0.0,48228.1, +641.0,Spain,Male,31.0,3.0,153316.14,1.0,1.0,0.0,59927.99, +745.0,France,Female,32.0,2.0,0.0,4.0,0.0,1.0,179705.13, +647.0,France,Male,35.0,4.0,123761.68,1.0,1.0,0.0,83910.4, +714.0,France,Female,51.0,4.0,88308.87,3.0,0.0,0.0,5862.53,1.0 +689.0,Germany,Male,67.0,9.0,157094.78,1.0,1.0,1.0,99490.01, +654.0,Spain,Female,32.0,2.0,0.0,1.0,1.0,1.0,51972.92, +587.0,France,Male,40.0,2.0,0.0,4.0,0.0,1.0,106174.7, +590.0,Spain,Male,22.0,7.0,125265.61,1.0,1.0,1.0,161253.08, +645.0,Spain,Female,49.0,5.0,110132.55,3.0,0.0,1.0,187689.91, +591.0,France,Female,56.0,9.0,128882.49,1.0,1.0,1.0,196241.94, +505.0,Germany,Female,37.0,6.0,159863.9,2.0,0.0,1.0,125307.87, +766.0,France,Female,26.0,3.0,104258.8,1.0,1.0,1.0,428.23, +645.0,France,Female,48.0,7.0,90612.34,1.0,1.0,1.0,149139.13,1.0 +699.0,Spain,Female,25.0,8.0,0.0,2.0,1.0,1.0,52404.47, +850.0,France,Female,42.0,8.0,0.0,1.0,1.0,0.0,19632.64, +671.0,Germany,Female,48.0,9.0,116711.06,2.0,0.0,0.0,76373.38, +713.0,France,Female,32.0,1.0,117094.02,1.0,0.0,0.0,149558.83, +555.0,Spain,Male,21.0,1.0,0.0,2.0,0.0,0.0,103901.35, +760.0,Germany,Female,34.0,6.0,58003.41,1.0,1.0,0.0,90346.1, +671.0,France,Female,31.0,7.0,41299.03,1.0,0.0,1.0,102681.32, +661.0,France,Male,26.0,8.0,0.0,2.0,0.0,0.0,196875.87, +580.0,Germany,Male,76.0,2.0,130334.84,2.0,1.0,1.0,51672.08, +778.0,Germany,Female,37.0,0.0,105617.73,2.0,1.0,1.0,133699.82, +616.0,France,Male,31.0,1.0,0.0,2.0,1.0,1.0,54706.75, +604.0,France,Male,33.0,3.0,148659.48,1.0,0.0,0.0,42437.75, +719.0,France,Male,69.0,3.0,0.0,2.0,1.0,1.0,58320.06, +762.0,France,Female,51.0,3.0,99286.98,1.0,0.0,1.0,85578.63,0.0 +567.0,France,Female,38.0,1.0,125877.65,2.0,1.0,1.0,107841.77, +670.0,France,Male,33.0,8.0,126679.69,1.0,1.0,1.0,39451.09, +594.0,Germany,Female,23.0,4.0,104753.84,2.0,1.0,0.0,56756.52, +590.0,France,Female,54.0,4.0,0.0,2.0,1.0,1.0,93820.49, +654.0,France,Male,29.0,4.0,132954.64,1.0,1.0,1.0,146715.07, +606.0,Spain,Male,33.0,8.0,0.0,2.0,1.0,1.0,63176.77, +542.0,France,Female,31.0,3.0,0.0,2.0,1.0,1.0,115217.59, +762.0,Spain,Female,35.0,3.0,119349.69,3.0,1.0,1.0,47114.18, +738.0,Spain,Male,31.0,9.0,79019.8,1.0,1.0,1.0,18606.23,0.0 +649.0,Germany,Female,37.0,8.0,114737.26,1.0,1.0,1.0,106655.88, +622.0,France,Female,31.0,1.0,89688.94,1.0,1.0,1.0,152305.47, +714.0,Spain,Female,31.0,6.0,152926.6,1.0,1.0,1.0,50899.91, +504.0,Spain,Male,40.0,5.0,0.0,2.0,0.0,0.0,146703.36, +794.0,Spain,Female,30.0,1.0,154970.54,1.0,0.0,1.0,156768.45, +631.0,France,Male,33.0,7.0,0.0,1.0,1.0,1.0,58043.02, +648.0,Spain,Female,31.0,5.0,0.0,2.0,1.0,1.0,5199.02, +850.0,Germany,Male,39.0,3.0,124548.99,2.0,1.0,1.0,120380.12,1.0 +634.0,France,Female,45.0,2.0,0.0,4.0,1.0,0.0,101039.53, +519.0,France,Female,21.0,1.0,146329.57,2.0,1.0,1.0,194867.27,1.0 +788.0,France,Male,55.0,3.0,0.0,1.0,0.0,1.0,13288.46, +612.0,Germany,Female,47.0,6.0,130024.87,1.0,1.0,1.0,45750.21, +655.0,Spain,Male,37.0,1.0,0.0,1.0,1.0,1.0,106040.97, +672.0,France,Male,43.0,5.0,0.0,1.0,0.0,0.0,63833.09, +543.0,Germany,Female,25.0,1.0,146566.01,1.0,0.0,1.0,161407.48, +579.0,France,Male,39.0,5.0,0.0,2.0,0.0,1.0,39891.84, +745.0,Spain,Female,35.0,8.0,0.0,2.0,1.0,1.0,116581.1,0.0 +803.0,Germany,Female,50.0,8.0,98173.02,1.0,0.0,0.0,22457.25, +838.0,Spain,Female,40.0,6.0,61671.19,1.0,0.0,1.0,150659.35, +850.0,Spain,Male,44.0,8.0,0.0,2.0,1.0,1.0,183617.32, +644.0,France,Male,33.0,8.0,0.0,2.0,1.0,1.0,155294.17,0.0 +592.0,France,Male,28.0,5.0,137222.77,1.0,0.0,0.0,39608.58, +494.0,Spain,Female,41.0,2.0,69974.66,2.0,1.0,0.0,188426.13, +685.0,Germany,Female,44.0,2.0,119657.53,1.0,1.0,0.0,145387.05, +595.0,Spain,Male,37.0,2.0,157084.99,1.0,1.0,0.0,134767.13, +551.0,Spain,Male,27.0,2.0,113873.22,1.0,1.0,1.0,85129.77, +674.0,France,Female,31.0,1.0,0.0,1.0,1.0,0.0,128954.05, +649.0,Germany,Female,41.0,4.0,115897.73,1.0,1.0,0.0,143544.48, +834.0,Germany,Female,57.0,8.0,112281.6,3.0,1.0,0.0,140225.14, +825.0,France,Male,32.0,9.0,0.0,2.0,0.0,0.0,9751.03, +596.0,Spain,Male,41.0,5.0,0.0,2.0,0.0,1.0,141053.85, +425.0,Spain,Female,39.0,5.0,0.0,2.0,1.0,0.0,140941.47, +781.0,France,Male,32.0,6.0,147107.91,1.0,1.0,1.0,40066.95, +814.0,Germany,Male,29.0,8.0,97086.4,2.0,1.0,1.0,197276.13,0.0 +492.0,Germany,Female,38.0,8.0,57068.43,2.0,1.0,0.0,188974.81, +618.0,France,Female,40.0,0.0,0.0,1.0,1.0,0.0,119059.13, +574.0,France,Female,33.0,3.0,134348.57,1.0,1.0,0.0,63163.99,0.0 +554.0,Spain,Male,42.0,1.0,0.0,2.0,0.0,1.0,183492.9, +651.0,France,Female,56.0,4.0,0.0,1.0,0.0,0.0,84383.22, +541.0,France,Female,39.0,6.0,109844.81,1.0,1.0,0.0,25289.23, +669.0,France,Female,41.0,0.0,150219.41,2.0,0.0,0.0,107839.03, +680.0,France,Female,43.0,4.0,0.0,2.0,1.0,1.0,58761.33, +609.0,France,Male,48.0,1.0,108019.27,3.0,1.0,1.0,184524.65, +731.0,Germany,Male,37.0,3.0,116880.53,1.0,0.0,0.0,172718.35, +656.0,France,Male,63.0,8.0,0.0,2.0,0.0,1.0,57014.43, +701.0,Spain,Male,35.0,10.0,159693.9,2.0,1.0,1.0,71173.64, +716.0,Germany,Male,41.0,8.0,126145.54,2.0,1.0,1.0,138051.19, +850.0,Spain,Female,50.0,10.0,0.0,2.0,1.0,1.0,33741.84,0.0 +622.0,France,Female,32.0,6.0,169089.38,2.0,1.0,0.0,101057.95,0.0 +416.0,France,Male,32.0,0.0,0.0,2.0,0.0,1.0,878.87,1.0 +659.0,Germany,Male,36.0,2.0,76190.48,2.0,1.0,1.0,149066.14,0.0 +562.0,France,Male,48.0,3.0,92347.96,1.0,1.0,1.0,163116.75, +664.0,France,Female,41.0,5.0,0.0,1.0,1.0,1.0,152054.33, +756.0,France,Male,28.0,8.0,179960.2,1.0,1.0,0.0,89938.08, +540.0,France,Male,25.0,5.0,116160.23,1.0,1.0,0.0,13411.67, +797.0,France,Male,24.0,5.0,0.0,2.0,1.0,0.0,182257.61, +817.0,France,Male,59.0,1.0,118962.58,1.0,1.0,1.0,120819.58, +443.0,France,Female,35.0,9.0,108308.0,1.0,1.0,0.0,129031.19, +628.0,France,Male,36.0,3.0,0.0,2.0,1.0,1.0,8742.91, +489.0,France,Male,38.0,8.0,0.0,2.0,0.0,1.0,196990.79,0.0 +546.0,France,Female,47.0,8.0,0.0,1.0,1.0,1.0,66408.01, +612.0,France,Female,43.0,4.0,139496.35,2.0,1.0,1.0,77128.23, +564.0,Germany,Male,33.0,3.0,109341.87,1.0,1.0,0.0,75632.78, +772.0,Germany,Male,42.0,3.0,75075.31,2.0,1.0,0.0,92888.52, +574.0,Germany,Male,35.0,5.0,163856.76,1.0,1.0,1.0,15118.2, +704.0,Germany,Female,24.0,7.0,113034.22,1.0,1.0,0.0,162503.48,1.0 +637.0,France,Male,33.0,0.0,132255.99,2.0,0.0,1.0,74588.41,0.0 +777.0,Germany,Male,44.0,3.0,124655.59,2.0,0.0,1.0,79792.3, +641.0,France,Female,53.0,0.0,123835.52,2.0,0.0,1.0,160110.65, +517.0,France,Male,37.0,5.0,113308.84,1.0,0.0,1.0,31517.16,1.0 +750.0,Spain,Female,34.0,9.0,112822.26,1.0,0.0,0.0,150401.53,0.0 +850.0,Spain,Male,39.0,0.0,141829.67,1.0,1.0,1.0,92748.16, +675.0,Spain,Male,36.0,3.0,54098.18,2.0,0.0,1.0,54478.52,0.0 +593.0,Spain,Female,38.0,4.0,88736.44,2.0,1.0,0.0,67020.03,0.0 +603.0,France,Male,51.0,8.0,186825.57,1.0,1.0,0.0,93739.71, +663.0,France,Male,26.0,5.0,141462.13,1.0,1.0,0.0,440.2, +651.0,France,Male,56.0,2.0,0.0,1.0,1.0,0.0,114522.68, +667.0,France,Male,28.0,6.0,165798.1,1.0,1.0,0.0,147090.9,1.0 +469.0,Spain,Male,37.0,9.0,96776.49,1.0,1.0,1.0,119890.86, +558.0,France,Male,35.0,1.0,0.0,2.0,0.0,0.0,111687.57, +703.0,Germany,Female,29.0,3.0,122084.63,1.0,0.0,1.0,82824.08, +754.0,France,Female,35.0,4.0,0.0,2.0,1.0,0.0,44830.71, +678.0,Germany,Male,36.0,1.0,117864.85,2.0,1.0,0.0,27619.06, +605.0,Germany,Female,31.0,1.0,117992.59,1.0,1.0,1.0,183598.77,0.0 +677.0,France,Female,58.0,1.0,90022.85,1.0,0.0,1.0,2988.28, +786.0,France,Male,37.0,7.0,165896.22,2.0,1.0,1.0,66977.68, +553.0,France,Male,41.0,1.0,0.0,2.0,1.0,0.0,90607.31, +432.0,Germany,Male,38.0,2.0,135559.8,2.0,1.0,1.0,71856.3, +850.0,Spain,Female,55.0,7.0,0.0,1.0,0.0,0.0,171762.87, +590.0,Spain,Male,30.0,3.0,0.0,2.0,1.0,0.0,83090.35, +459.0,Spain,Female,42.0,6.0,129634.25,2.0,1.0,1.0,177683.02,0.0 +719.0,France,Female,22.0,7.0,114415.84,1.0,1.0,1.0,177497.4, +692.0,Germany,Female,43.0,2.0,69014.49,2.0,0.0,0.0,164621.43, +627.0,France,Female,21.0,7.0,98993.02,1.0,1.0,1.0,169156.64, +692.0,Germany,Female,43.0,10.0,118588.83,1.0,1.0,1.0,161241.65, +775.0,Germany,Male,33.0,3.0,83501.66,2.0,1.0,0.0,128841.31, +774.0,Spain,Female,36.0,8.0,117152.3,1.0,0.0,0.0,101828.39, +549.0,France,Female,25.0,5.0,0.0,2.0,0.0,0.0,190857.79,1.0 +561.0,Spain,Female,28.0,3.0,0.0,2.0,1.0,0.0,191387.76, +630.0,France,Male,42.0,6.0,0.0,2.0,1.0,0.0,162697.93,0.0 +725.0,France,Male,45.0,1.0,129855.32,1.0,0.0,0.0,24218.65, +674.0,Germany,Female,27.0,4.0,111568.01,1.0,0.0,1.0,22026.18, +638.0,France,Female,48.0,10.0,138333.03,1.0,1.0,1.0,47679.14,0.0 +744.0,France,Male,56.0,9.0,0.0,2.0,1.0,1.0,169498.61, +671.0,France,Male,31.0,0.0,116234.61,1.0,1.0,0.0,172096.08, +580.0,Germany,Female,36.0,6.0,145387.32,2.0,1.0,1.0,169963.2, +551.0,Spain,Female,48.0,5.0,95679.29,1.0,0.0,0.0,94978.1, +445.0,Germany,Female,48.0,7.0,168286.58,1.0,1.0,0.0,16645.77, +707.0,France,Male,40.0,1.0,0.0,2.0,1.0,0.0,14090.4, +710.0,Spain,Male,33.0,1.0,0.0,2.0,1.0,0.0,168313.17, +599.0,France,Male,30.0,9.0,105443.68,1.0,1.0,1.0,121124.53, +818.0,France,Female,31.0,1.0,186796.37,1.0,0.0,0.0,178252.63,0.0 +740.0,France,Male,33.0,1.0,129574.98,1.0,1.0,1.0,123300.38, +784.0,Germany,Male,38.0,1.0,138515.02,1.0,1.0,1.0,171768.76, +608.0,France,Female,30.0,8.0,0.0,2.0,1.0,0.0,128875.86,1.0 +606.0,Germany,Male,39.0,8.0,136000.45,2.0,1.0,0.0,31708.53, +566.0,Spain,Male,44.0,5.0,0.0,2.0,1.0,0.0,66462.79, +521.0,Spain,Male,29.0,3.0,60280.62,1.0,1.0,0.0,154271.41,0.0 +640.0,France,Male,44.0,3.0,137148.68,1.0,1.0,0.0,92381.01,1.0 +625.0,Spain,Male,52.0,8.0,121161.57,1.0,1.0,0.0,48988.28, +712.0,Germany,Male,38.0,7.0,132767.66,2.0,1.0,1.0,59115.77, +646.0,France,Male,52.0,8.0,59669.43,1.0,0.0,0.0,172495.81, +719.0,Spain,Male,39.0,5.0,0.0,2.0,1.0,0.0,145759.7,0.0 +674.0,Spain,Male,32.0,2.0,0.0,2.0,1.0,0.0,140579.17, +709.0,France,Female,37.0,9.0,0.0,2.0,1.0,0.0,16733.59, +410.0,Germany,Female,50.0,2.0,102278.79,2.0,1.0,0.0,89822.48, +762.0,France,Male,36.0,5.0,119547.46,1.0,1.0,1.0,42693.65, +690.0,France,Male,47.0,2.0,0.0,2.0,1.0,0.0,151375.73, +640.0,Spain,Male,29.0,5.0,197200.04,2.0,1.0,0.0,141453.62, +617.0,Germany,Female,58.0,3.0,119024.75,2.0,1.0,0.0,35199.24, +593.0,France,Male,43.0,9.0,0.0,2.0,1.0,1.0,76357.43, +667.0,Germany,Male,27.0,2.0,138032.15,1.0,1.0,0.0,166317.71, +538.0,Germany,Female,42.0,1.0,98548.62,2.0,0.0,1.0,94047.75, +704.0,Spain,Male,37.0,4.0,0.0,2.0,0.0,0.0,25684.93, +611.0,France,Male,64.0,9.0,0.0,2.0,1.0,1.0,53277.15, +751.0,France,Male,29.0,3.0,159597.45,1.0,1.0,0.0,39934.41, +607.0,Spain,Male,28.0,1.0,135936.1,2.0,1.0,1.0,110560.14, +526.0,France,Male,28.0,1.0,112070.44,1.0,0.0,1.0,126281.83, +704.0,Spain,Female,37.0,9.0,155619.58,1.0,1.0,1.0,135088.58, +616.0,Spain,Male,71.0,4.0,0.0,2.0,1.0,1.0,173599.38, +743.0,France,Male,23.0,3.0,110203.77,1.0,1.0,0.0,95583.45, +734.0,Spain,Female,37.0,2.0,130404.92,1.0,0.0,0.0,34548.74,0.0 +619.0,Spain,Female,31.0,3.0,141751.82,1.0,0.0,1.0,61531.86, +664.0,Germany,Female,36.0,2.0,127160.78,2.0,1.0,0.0,78140.75,0.0 +652.0,Germany,Male,27.0,2.0,166527.88,2.0,0.0,1.0,146007.7, +598.0,France,Male,38.0,0.0,125487.89,1.0,0.0,0.0,158111.71, +648.0,Spain,Male,55.0,1.0,81370.07,1.0,0.0,1.0,181534.04, +591.0,Spain,Female,39.0,3.0,0.0,3.0,1.0,0.0,140469.38,0.0 +648.0,Germany,Female,37.0,7.0,138503.51,2.0,1.0,0.0,57215.85, +753.0,Germany,Female,35.0,5.0,82453.96,2.0,0.0,0.0,18254.75, +832.0,Spain,Male,29.0,8.0,93833.86,1.0,0.0,1.0,10417.87, +712.0,Spain,Male,47.0,1.0,139887.01,1.0,1.0,1.0,95719.73,0.0 +794.0,Spain,Female,22.0,4.0,114440.24,1.0,1.0,1.0,107753.07, +773.0,France,Male,33.0,9.0,0.0,2.0,1.0,1.0,1118.31, +599.0,France,Male,28.0,7.0,119706.22,1.0,0.0,0.0,31190.42, +602.0,France,Female,35.0,5.0,0.0,2.0,1.0,0.0,31050.02, +645.0,Germany,Male,28.0,7.0,117466.03,2.0,1.0,1.0,34490.06, +669.0,France,Male,26.0,4.0,0.0,2.0,1.0,1.0,197594.34, +689.0,Spain,Male,73.0,1.0,108555.07,1.0,0.0,1.0,167969.15, +772.0,Spain,Male,30.0,4.0,78653.05,1.0,1.0,0.0,1790.48,1.0 +452.0,France,Female,32.0,5.0,0.0,2.0,0.0,1.0,75279.39,0.0 +746.0,Spain,Female,25.0,3.0,104833.79,1.0,0.0,0.0,71911.3, +508.0,France,Female,25.0,2.0,111395.53,1.0,0.0,1.0,48197.06, +700.0,France,Male,37.0,1.0,135179.49,1.0,1.0,0.0,160670.37, +470.0,France,Male,30.0,3.0,101140.76,1.0,1.0,1.0,50906.65, +653.0,France,Female,46.0,5.0,0.0,2.0,1.0,0.0,49707.85, +657.0,France,Female,41.0,5.0,95858.37,1.0,1.0,1.0,68255.88,0.0 +694.0,France,Male,30.0,2.0,0.0,3.0,0.0,1.0,15039.41, +606.0,France,Female,35.0,0.0,135984.15,2.0,1.0,0.0,186778.89, +718.0,Germany,Male,63.0,7.0,123204.88,1.0,1.0,1.0,100538.8, +687.0,France,Female,72.0,9.0,0.0,1.0,0.0,1.0,69829.4,0.0 +539.0,France,Female,24.0,3.0,0.0,2.0,1.0,1.0,198161.07, +700.0,France,Female,44.0,2.0,58781.76,1.0,1.0,0.0,16874.92,0.0 +787.0,Spain,Male,39.0,10.0,108935.39,1.0,1.0,1.0,101168.3, +769.0,France,Female,73.0,1.0,0.0,1.0,1.0,1.0,29792.11, +850.0,Germany,Male,41.0,1.0,176958.46,2.0,0.0,1.0,125806.3, +739.0,France,Male,40.0,4.0,0.0,2.0,0.0,0.0,173321.65, +511.0,France,Female,31.0,5.0,137411.29,1.0,0.0,1.0,161854.98, +740.0,France,Male,36.0,4.0,172381.8,1.0,1.0,1.0,86480.29, +629.0,Spain,Male,34.0,6.0,0.0,2.0,1.0,0.0,190347.72, +481.0,Spain,Male,39.0,1.0,111233.09,1.0,1.0,1.0,123995.15, +553.0,France,Male,42.0,1.0,0.0,2.0,0.0,0.0,23822.04, +649.0,Spain,Female,36.0,6.0,86607.39,1.0,0.0,0.0,19825.09, +641.0,Spain,Male,32.0,7.0,0.0,2.0,1.0,1.0,24267.28, +712.0,Germany,Male,27.0,8.0,113174.21,2.0,1.0,0.0,147261.58, +683.0,France,Male,30.0,10.0,57657.49,1.0,0.0,0.0,79240.9,1.0 +606.0,France,Female,39.0,3.0,0.0,2.0,1.0,0.0,50560.45, +536.0,Germany,Female,35.0,4.0,121520.36,1.0,0.0,0.0,77178.42, +737.0,Spain,Male,38.0,6.0,146282.79,2.0,1.0,0.0,198516.2, +640.0,Spain,Female,46.0,3.0,0.0,1.0,1.0,1.0,156260.08, +693.0,Germany,Male,44.0,5.0,124601.58,2.0,1.0,1.0,46998.13,0.0 +727.0,France,Female,29.0,1.0,146652.01,1.0,1.0,1.0,173486.39, +636.0,France,Male,43.0,6.0,0.0,2.0,1.0,0.0,43128.95, +757.0,France,Female,71.0,0.0,88084.13,2.0,1.0,1.0,154337.47, +665.0,Germany,Female,43.0,2.0,116322.27,4.0,1.0,0.0,35640.12, +751.0,France,Male,30.0,3.0,165257.2,1.0,0.0,0.0,134822.05, +699.0,Spain,Female,29.0,9.0,127570.93,2.0,1.0,0.0,164756.81, +644.0,Spain,Male,28.0,0.0,0.0,2.0,1.0,0.0,119419.37, +640.0,France,Female,67.0,3.0,0.0,1.0,0.0,1.0,42964.63, +588.0,Germany,Female,30.0,0.0,110148.49,1.0,1.0,0.0,5790.9, +751.0,Spain,Female,34.0,8.0,127095.14,2.0,0.0,0.0,479.54, +744.0,Spain,Female,26.0,5.0,166297.89,1.0,1.0,1.0,181694.44,0.0 +661.0,France,Male,48.0,3.0,120320.54,1.0,0.0,0.0,96463.25,1.0 +669.0,Spain,Male,22.0,10.0,0.0,2.0,1.0,0.0,176163.74, +644.0,Germany,Female,34.0,10.0,122196.99,2.0,1.0,1.0,182099.71, +674.0,France,Male,36.0,2.0,154525.7,1.0,0.0,1.0,27468.72, +682.0,France,Male,30.0,9.0,0.0,2.0,1.0,1.0,2053.42, +632.0,France,Male,27.0,4.0,193125.85,1.0,1.0,1.0,152665.85, +564.0,Spain,Male,37.0,9.0,100252.18,1.0,1.0,1.0,146033.52, +805.0,Spain,Male,37.0,5.0,0.0,2.0,1.0,0.0,21928.81, +569.0,Spain,Female,30.0,3.0,139528.23,1.0,1.0,1.0,33230.37, +666.0,France,Female,34.0,9.0,115897.12,1.0,1.0,1.0,25095.03,0.0 +714.0,France,Female,72.0,3.0,0.0,1.0,1.0,1.0,86733.61,0.0 +686.0,France,Female,31.0,1.0,0.0,2.0,1.0,0.0,4802.25, +676.0,France,Male,33.0,6.0,171490.78,1.0,0.0,0.0,79099.64, +588.0,France,Male,38.0,1.0,124271.26,1.0,1.0,0.0,75969.19, +520.0,France,Female,38.0,4.0,0.0,2.0,1.0,0.0,56388.63,1.0 +508.0,Germany,Male,28.0,0.0,96213.82,2.0,1.0,0.0,147913.56, +641.0,France,Female,40.0,7.0,0.0,1.0,1.0,0.0,126996.67, +438.0,France,Male,60.0,7.0,78391.17,1.0,0.0,1.0,49424.6, +642.0,Spain,Female,33.0,9.0,0.0,2.0,1.0,1.0,150475.14, +556.0,France,Female,51.0,8.0,61354.14,1.0,1.0,0.0,198810.65, +614.0,Germany,Female,31.0,7.0,120599.38,2.0,1.0,1.0,46163.44,0.0 +494.0,Spain,Male,27.0,2.0,0.0,2.0,1.0,0.0,22404.64, +728.0,France,Male,43.0,7.0,0.0,2.0,1.0,0.0,40023.7, +636.0,France,Female,24.0,9.0,0.0,2.0,0.0,1.0,38830.72, +588.0,Spain,Male,37.0,2.0,0.0,2.0,0.0,1.0,187816.59, +774.0,France,Female,35.0,3.0,121418.62,1.0,1.0,1.0,24400.37, +701.0,France,Male,44.0,7.0,0.0,2.0,1.0,0.0,23425.78, +499.0,Spain,Male,39.0,6.0,0.0,2.0,1.0,1.0,81409.0, +644.0,France,Male,33.0,7.0,174571.36,1.0,0.0,1.0,43943.09, +616.0,Germany,Female,45.0,6.0,128352.59,3.0,1.0,1.0,144000.59, +663.0,Germany,Male,44.0,2.0,117028.6,2.0,0.0,1.0,144680.18,0.0 +488.0,Germany,Female,33.0,4.0,140002.35,1.0,1.0,0.0,123613.81, +646.0,France,Male,18.0,10.0,0.0,2.0,0.0,1.0,52795.15, +613.0,Spain,Male,29.0,0.0,0.0,2.0,0.0,1.0,133897.32, +593.0,Germany,Male,69.0,2.0,187013.13,2.0,0.0,1.0,105898.69, +717.0,Germany,Female,33.0,0.0,115777.23,1.0,1.0,1.0,81508.1, +615.0,France,Female,23.0,4.0,0.0,2.0,1.0,0.0,196476.19, +678.0,France,Female,48.0,2.0,0.0,2.0,1.0,1.0,32301.88, +598.0,France,Male,47.0,2.0,0.0,2.0,1.0,1.0,186116.54, +486.0,France,Male,26.0,2.0,0.0,2.0,1.0,1.0,31399.4, +679.0,France,Male,48.0,8.0,0.0,2.0,1.0,0.0,23344.94, +684.0,Germany,Female,44.0,2.0,133776.86,2.0,0.0,1.0,49865.04, +610.0,Spain,Male,42.0,6.0,0.0,2.0,1.0,0.0,158302.59,0.0 +515.0,Spain,Male,40.0,10.0,121355.99,1.0,1.0,0.0,138360.29, +710.0,Germany,Male,49.0,10.0,129164.88,1.0,1.0,1.0,193266.72, +687.0,Spain,Female,50.0,5.0,0.0,2.0,1.0,0.0,110230.4, +601.0,Germany,Male,42.0,1.0,98495.72,1.0,1.0,0.0,40014.76,0.0 +726.0,France,Female,53.0,1.0,113537.73,1.0,0.0,1.0,28367.21, +660.0,Spain,Female,61.0,5.0,155931.11,1.0,1.0,1.0,158338.39,1.0 +646.0,Germany,Female,57.0,6.0,90212.0,1.0,1.0,0.0,13911.27, +452.0,France,Female,33.0,6.0,131698.57,2.0,1.0,0.0,151623.91, +477.0,Spain,Male,31.0,9.0,0.0,2.0,0.0,1.0,184061.17, +742.0,Germany,Female,36.0,2.0,129748.54,2.0,0.0,0.0,47271.61,0.0 +603.0,Spain,Male,24.0,1.0,165149.13,2.0,1.0,0.0,21858.28, +534.0,France,Female,42.0,9.0,144801.97,1.0,0.0,1.0,12483.39, +773.0,France,Male,45.0,8.0,96877.21,1.0,1.0,1.0,113950.51, +721.0,France,Female,37.0,1.0,0.0,2.0,1.0,0.0,70810.8, +455.0,France,Male,40.0,1.0,0.0,3.0,0.0,1.0,129975.34, +755.0,France,Male,36.0,8.0,0.0,2.0,1.0,0.0,176809.87, +738.0,Spain,Male,44.0,2.0,0.0,2.0,1.0,0.0,43018.82, +597.0,France,Male,41.0,4.0,153198.23,1.0,1.0,1.0,92090.36, +612.0,Spain,Male,39.0,5.0,170288.38,1.0,1.0,1.0,59601.15, +727.0,France,Female,31.0,2.0,52192.08,2.0,0.0,1.0,160383.47, +659.0,France,Male,54.0,8.0,133436.52,1.0,1.0,0.0,56787.8, +563.0,Spain,Male,32.0,6.0,0.0,2.0,1.0,1.0,19720.08,0.0 +519.0,Spain,Male,39.0,4.0,111900.14,1.0,1.0,1.0,97577.17, +850.0,France,Male,68.0,5.0,169445.4,1.0,1.0,1.0,186335.07, +794.0,Spain,Male,38.0,9.0,179581.31,1.0,1.0,0.0,23596.24, +718.0,France,Female,44.0,1.0,133866.22,1.0,0.0,1.0,139049.24, +653.0,Spain,Female,30.0,2.0,88243.29,2.0,1.0,1.0,96658.26,0.0 +536.0,France,Female,41.0,9.0,0.0,1.0,1.0,0.0,121299.14, +785.0,France,Female,38.0,1.0,0.0,1.0,1.0,0.0,134964.85, +592.0,Germany,Female,26.0,4.0,105082.07,2.0,1.0,0.0,132801.57, +781.0,Spain,Male,33.0,3.0,0.0,2.0,1.0,1.0,42556.33, +635.0,Spain,Female,34.0,5.0,98683.47,2.0,1.0,0.0,15733.19, +655.0,France,Female,47.0,10.0,0.0,2.0,1.0,0.0,167778.62, +712.0,France,Female,29.0,8.0,140170.61,1.0,1.0,1.0,38170.04, +648.0,Spain,Male,35.0,7.0,0.0,2.0,0.0,0.0,122899.01, +678.0,France,Male,28.0,2.0,109137.12,1.0,1.0,1.0,58814.41, +618.0,France,Male,56.0,7.0,0.0,1.0,1.0,1.0,142400.27,0.0 +616.0,France,Male,23.0,8.0,73112.95,1.0,1.0,1.0,62733.05, +683.0,Germany,Female,43.0,4.0,115888.04,1.0,1.0,1.0,117349.19,0.0 +619.0,France,Male,44.0,3.0,116967.68,1.0,1.0,0.0,5075.17, +694.0,Germany,Female,58.0,1.0,143212.22,1.0,0.0,0.0,102628.56, +811.0,Germany,Male,52.0,10.0,76915.4,1.0,0.0,0.0,146359.81,0.0 +647.0,Spain,Male,32.0,9.0,80958.36,1.0,1.0,1.0,128590.73, +850.0,Germany,Female,31.0,4.0,164672.66,1.0,0.0,1.0,61936.1, +631.0,Germany,Female,37.0,2.0,121801.72,2.0,0.0,1.0,23146.62,0.0 +767.0,France,Female,34.0,8.0,0.0,2.0,1.0,0.0,94767.77, +618.0,Germany,Female,40.0,0.0,140306.38,1.0,1.0,0.0,160618.61, +542.0,France,Male,32.0,7.0,107871.72,1.0,1.0,0.0,125302.64, +632.0,France,Female,27.0,3.0,107375.82,1.0,1.0,1.0,62703.38, +614.0,France,Female,27.0,9.0,106414.57,2.0,0.0,0.0,77500.81, +725.0,France,Male,38.0,6.0,0.0,2.0,1.0,1.0,158697.28, +645.0,Spain,Female,21.0,1.0,0.0,2.0,0.0,0.0,28726.07, +603.0,France,Male,43.0,5.0,127823.93,1.0,1.0,1.0,19483.35, +436.0,Spain,Male,43.0,5.0,0.0,2.0,1.0,1.0,35687.43, +602.0,France,Male,31.0,7.0,155271.83,1.0,1.0,1.0,179446.31, +708.0,Germany,Female,42.0,8.0,192390.52,2.0,1.0,0.0,823.36,1.0 +674.0,France,Male,18.0,7.0,0.0,2.0,1.0,1.0,55753.12, +673.0,Spain,Male,39.0,8.0,138160.0,1.0,1.0,1.0,110468.51, +619.0,France,Male,29.0,5.0,0.0,2.0,1.0,0.0,194310.1, +634.0,France,Male,45.0,9.0,0.0,2.0,0.0,0.0,17622.82, +801.0,Spain,Male,58.0,1.0,79954.61,2.0,1.0,1.0,30484.19, +351.0,Germany,Female,57.0,4.0,163146.46,1.0,1.0,0.0,169621.69, +686.0,Spain,Female,36.0,5.0,0.0,2.0,1.0,1.0,152979.14, +808.0,Spain,Male,47.0,8.0,139196.0,1.0,0.0,1.0,74028.36, +533.0,France,Female,35.0,8.0,0.0,2.0,1.0,1.0,187900.12, +646.0,Germany,Male,39.0,6.0,121681.91,2.0,0.0,1.0,61793.47, +641.0,France,Male,37.0,7.0,0.0,2.0,1.0,0.0,75248.3,0.0 +599.0,Spain,Female,31.0,3.0,0.0,1.0,1.0,1.0,130086.47, +438.0,France,Female,36.0,4.0,0.0,2.0,1.0,0.0,64420.5,0.0 +711.0,France,Male,64.0,4.0,0.0,2.0,1.0,1.0,3185.67,0.0 +807.0,France,Male,47.0,1.0,95120.59,1.0,0.0,0.0,127875.1, +850.0,France,Female,36.0,6.0,0.0,2.0,1.0,1.0,190194.95, +544.0,France,Male,40.0,8.0,0.0,2.0,1.0,0.0,61581.2, +482.0,France,Female,35.0,2.0,133111.73,1.0,0.0,1.0,79957.95, +655.0,France,Female,39.0,6.0,94631.26,2.0,1.0,1.0,148948.52, +637.0,Germany,Male,40.0,9.0,154309.67,1.0,1.0,1.0,125334.16, +704.0,Germany,Male,27.0,5.0,147004.34,1.0,1.0,0.0,64381.33,0.0 +759.0,Germany,Male,31.0,4.0,98899.91,1.0,1.0,1.0,47832.82, +705.0,France,Female,35.0,3.0,0.0,2.0,0.0,1.0,66331.01, +674.0,Germany,Female,36.0,6.0,100762.64,1.0,1.0,0.0,182156.86, +648.0,France,Male,38.0,10.0,82697.28,1.0,1.0,0.0,74846.67, +609.0,France,Female,53.0,6.0,0.0,2.0,1.0,1.0,124218.27, +618.0,France,Male,39.0,2.0,91068.56,1.0,1.0,0.0,26578.69, +641.0,Germany,Female,37.0,7.0,62974.64,2.0,0.0,1.0,39016.43, +671.0,Spain,Male,58.0,1.0,178713.98,1.0,1.0,1.0,21768.21, +780.0,France,Female,43.0,0.0,0.0,1.0,0.0,1.0,15705.27, +676.0,France,Female,36.0,3.0,91711.59,1.0,1.0,1.0,95393.43, +468.0,France,Female,56.0,10.0,0.0,3.0,0.0,1.0,62256.87,0.0 +512.0,Spain,Male,33.0,3.0,176666.62,1.0,1.0,0.0,94670.77,1.0 +688.0,Germany,Male,41.0,2.0,112871.19,2.0,0.0,1.0,65520.74, +579.0,France,Female,38.0,4.0,175739.36,1.0,1.0,1.0,193130.55, +662.0,France,Female,22.0,9.0,0.0,2.0,1.0,1.0,44377.65, +514.0,France,Female,46.0,3.0,106511.85,1.0,1.0,0.0,55072.32,0.0 +769.0,France,Male,51.0,9.0,156773.78,2.0,1.0,0.0,40257.79, +591.0,France,Female,39.0,4.0,150500.64,1.0,1.0,0.0,14928.8,0.0 +680.0,France,Male,44.0,3.0,0.0,2.0,1.0,0.0,86935.08,0.0 +610.0,France,Female,31.0,6.0,107784.65,1.0,1.0,1.0,141137.53, +633.0,Spain,Male,27.0,3.0,0.0,2.0,1.0,0.0,44008.91, +598.0,France,Female,40.0,2.0,171178.25,1.0,1.0,0.0,137980.58, +764.0,Spain,Male,38.0,4.0,113607.47,1.0,1.0,0.0,91094.46, +822.0,France,Male,37.0,3.0,105563.0,1.0,1.0,0.0,182624.93, +706.0,Spain,Male,42.0,9.0,0.0,2.0,1.0,1.0,28714.34,0.0 +553.0,France,Male,37.0,1.0,0.0,1.0,1.0,0.0,30461.55, +764.0,Germany,Male,28.0,10.0,124023.18,1.0,1.0,0.0,166188.28, +790.0,Germany,Male,50.0,8.0,121438.58,1.0,1.0,1.0,176471.78, +624.0,France,Female,45.0,3.0,68639.57,1.0,1.0,0.0,168002.31, +683.0,Germany,Female,39.0,2.0,100062.16,2.0,1.0,0.0,109201.43, +664.0,Spain,Male,44.0,7.0,77526.66,3.0,0.0,0.0,57338.56, +618.0,Spain,Male,41.0,4.0,115251.64,1.0,0.0,0.0,136435.75, +561.0,France,Male,33.0,6.0,0.0,2.0,0.0,0.0,173680.39, +616.0,Germany,Female,41.0,1.0,103560.57,1.0,1.0,0.0,236.45,0.0 +574.0,Spain,Male,30.0,5.0,120355.0,1.0,1.0,0.0,137793.35, +790.0,Spain,Male,46.0,2.0,131365.37,2.0,1.0,1.0,180290.68, +535.0,France,Female,31.0,7.0,111855.04,2.0,1.0,1.0,36278.89,0.0 +526.0,France,Male,42.0,1.0,0.0,1.0,0.0,1.0,168486.02, +640.0,France,Female,31.0,9.0,138857.59,1.0,1.0,0.0,48640.77, +519.0,France,Male,39.0,2.0,112957.26,2.0,1.0,0.0,97593.16, +633.0,Germany,Female,29.0,8.0,104944.1,1.0,1.0,1.0,97684.46, +688.0,France,Male,40.0,6.0,0.0,1.0,1.0,1.0,47886.44, +640.0,France,Female,33.0,6.0,84719.13,2.0,1.0,1.0,113048.79, +511.0,Germany,Male,48.0,6.0,149726.08,1.0,0.0,0.0,88307.87, +605.0,Spain,Female,48.0,10.0,150315.92,1.0,0.0,1.0,133486.36, +702.0,Germany,Female,60.0,5.0,138597.54,2.0,1.0,1.0,41536.59, +633.0,France,Male,37.0,2.0,0.0,2.0,1.0,0.0,182258.17, +592.0,Spain,Male,35.0,6.0,80285.16,1.0,1.0,0.0,72678.75, +551.0,France,Female,36.0,5.0,0.0,1.0,1.0,0.0,183479.12, +792.0,Spain,Female,40.0,7.0,0.0,1.0,1.0,0.0,141652.2, +635.0,Spain,Female,48.0,2.0,0.0,2.0,1.0,1.0,136551.25, +599.0,Germany,Male,36.0,3.0,128960.21,2.0,1.0,1.0,40318.33, +649.0,France,Female,36.0,8.0,0.0,2.0,0.0,1.0,109179.89, +703.0,France,Male,43.0,8.0,0.0,2.0,1.0,0.0,9704.66, +603.0,France,Male,35.0,6.0,128993.76,2.0,1.0,0.0,130483.56, +430.0,France,Male,38.0,9.0,0.0,2.0,1.0,1.0,12050.77, +663.0,France,Male,46.0,3.0,0.0,2.0,0.0,1.0,176276.1,0.0 +601.0,Germany,Female,47.0,1.0,142802.02,1.0,1.0,1.0,57553.02, +779.0,Germany,Male,37.0,7.0,120092.52,2.0,1.0,0.0,135925.72,0.0 +559.0,Spain,Female,31.0,1.0,139183.06,1.0,0.0,1.0,143360.56, +655.0,Spain,Female,35.0,1.0,106405.03,1.0,1.0,1.0,82900.25, +711.0,France,Male,41.0,3.0,0.0,2.0,1.0,1.0,193747.57, +561.0,Spain,Male,28.0,6.0,123692.0,1.0,1.0,1.0,70548.96, +628.0,France,Male,31.0,0.0,88421.81,1.0,0.0,0.0,72350.47, +821.0,France,Female,40.0,1.0,0.0,2.0,1.0,0.0,194273.12, +445.0,France,Female,30.0,3.0,0.0,2.0,1.0,1.0,127939.19, +792.0,France,Male,30.0,8.0,0.0,2.0,1.0,0.0,199644.2, +640.0,France,Male,63.0,2.0,68432.45,2.0,1.0,1.0,112503.24, +850.0,Germany,Female,40.0,4.0,97990.49,2.0,0.0,0.0,106691.02, +681.0,Germany,Male,38.0,6.0,181804.34,2.0,1.0,1.0,57517.71, +591.0,Spain,Male,39.0,8.0,0.0,2.0,0.0,0.0,42392.24, +659.0,Germany,Male,67.0,6.0,117411.6,1.0,1.0,1.0,45071.09,0.0 +704.0,France,Male,42.0,8.0,129735.3,2.0,1.0,1.0,179565.57, +721.0,Germany,Female,45.0,7.0,138523.2,1.0,0.0,0.0,59604.45, +460.0,Germany,Female,40.0,6.0,119507.58,2.0,1.0,0.0,91560.63,0.0 +678.0,Spain,Female,49.0,1.0,0.0,2.0,1.0,1.0,102472.9, +823.0,Germany,Female,53.0,4.0,124954.94,1.0,0.0,1.0,131259.6, +676.0,France,Male,31.0,3.0,78990.15,1.0,1.0,1.0,124777.14, +678.0,France,Female,22.0,6.0,118064.93,2.0,1.0,1.0,195424.01, +540.0,Germany,Male,39.0,1.0,82531.11,1.0,1.0,0.0,114092.52, +807.0,Germany,Female,60.0,1.0,72948.58,2.0,1.0,1.0,17355.36, +751.0,France,Male,43.0,1.0,114974.24,1.0,1.0,0.0,125920.54, +437.0,France,Female,43.0,6.0,0.0,1.0,1.0,0.0,148330.97, +479.0,Germany,Male,24.0,6.0,107637.97,2.0,0.0,1.0,169505.83, +577.0,France,Male,60.0,10.0,125389.7,2.0,1.0,1.0,178616.73, +763.0,France,Female,35.0,7.0,115651.6,2.0,1.0,1.0,104706.29, +647.0,France,Male,32.0,5.0,97041.16,1.0,1.0,1.0,23132.73, +605.0,France,Female,62.0,4.0,111065.93,2.0,0.0,1.0,125660.99, +636.0,France,Female,48.0,1.0,170833.46,1.0,1.0,0.0,110510.28,0.0 +592.0,Spain,Male,55.0,8.0,85845.43,2.0,1.0,1.0,128918.42, +595.0,France,Female,33.0,9.0,0.0,2.0,1.0,1.0,41447.86, +713.0,France,Female,25.0,4.0,121172.97,1.0,1.0,1.0,56268.98, +707.0,France,Female,57.0,1.0,92053.0,1.0,1.0,1.0,164064.44, +814.0,France,Female,36.0,6.0,0.0,2.0,1.0,1.0,98657.01, +504.0,Germany,Male,42.0,7.0,131287.36,2.0,1.0,1.0,149697.78, +692.0,Germany,Male,53.0,7.0,150926.99,2.0,0.0,0.0,119817.19, +795.0,France,Male,32.0,2.0,117265.21,1.0,1.0,1.0,198317.23, +609.0,France,Male,39.0,3.0,121778.71,1.0,1.0,1.0,138399.67, +732.0,France,Male,79.0,10.0,61811.23,1.0,1.0,1.0,104222.8, +605.0,France,Female,34.0,2.0,0.0,1.0,0.0,0.0,35982.42, +695.0,France,Male,37.0,2.0,0.0,2.0,1.0,1.0,99692.65, +755.0,France,Male,23.0,5.0,84284.48,2.0,1.0,1.0,62851.6, +477.0,Germany,Female,58.0,8.0,145984.92,1.0,1.0,1.0,24564.7, +648.0,France,Female,39.0,6.0,130694.89,2.0,1.0,1.0,153955.38, +559.0,France,Female,70.0,9.0,0.0,1.0,1.0,1.0,122996.76,1.0 +555.0,Spain,Female,24.0,2.0,0.0,2.0,0.0,1.0,197866.55, +785.0,France,Female,34.0,9.0,70302.48,1.0,1.0,1.0,68600.36,0.0 +563.0,Spain,Male,24.0,7.0,0.0,2.0,0.0,0.0,16319.56, +666.0,Spain,Male,35.0,2.0,104832.49,1.0,1.0,0.0,175015.12, +647.0,Spain,Male,28.0,6.0,149594.02,2.0,1.0,0.0,102325.19, +767.0,Germany,Male,23.0,2.0,139542.82,1.0,0.0,1.0,28038.28, +822.0,France,Male,50.0,7.0,0.0,2.0,1.0,1.0,10062.8,0.0 +757.0,Spain,Male,30.0,3.0,145396.49,1.0,0.0,1.0,198341.15, +850.0,Germany,Male,36.0,7.0,102800.72,1.0,1.0,1.0,87352.43, +597.0,France,Female,28.0,0.0,142705.95,1.0,1.0,0.0,127233.39, +850.0,France,Male,31.0,6.0,131996.66,2.0,1.0,1.0,178747.43, +606.0,Spain,Male,36.0,0.0,94153.56,1.0,0.0,1.0,120138.27, +817.0,France,Male,34.0,5.0,129278.43,1.0,0.0,0.0,165562.84, +691.0,France,Female,60.0,6.0,101070.69,1.0,1.0,0.0,177355.8, +715.0,France,Male,21.0,8.0,0.0,2.0,1.0,0.0,68666.63, +613.0,Spain,Male,44.0,9.0,100524.69,1.0,1.0,1.0,47298.95, +539.0,France,Male,30.0,0.0,0.0,2.0,1.0,0.0,160979.66,0.0 +614.0,France,Female,38.0,4.0,72594.0,1.0,1.0,1.0,76042.48, +680.0,France,Male,33.0,2.0,108393.35,1.0,0.0,1.0,39057.67, +733.0,Spain,Male,36.0,1.0,0.0,2.0,0.0,1.0,108377.82, +610.0,France,Male,37.0,0.0,0.0,1.0,1.0,0.0,114514.64, +631.0,Spain,Male,46.0,9.0,160736.63,1.0,0.0,1.0,93503.02, +634.0,France,Female,41.0,7.0,0.0,2.0,1.0,1.0,131284.93, +643.0,France,Male,37.0,6.0,0.0,2.0,0.0,0.0,142454.77, +644.0,France,Male,44.0,5.0,73348.56,1.0,1.0,0.0,157166.79, +630.0,France,Female,40.0,7.0,0.0,2.0,1.0,1.0,34453.17,0.0 +559.0,Germany,Female,36.0,1.0,104356.94,2.0,0.0,1.0,54184.06,0.0 +473.0,France,Female,39.0,9.0,117103.26,2.0,1.0,1.0,85937.52, +626.0,Spain,Female,26.0,8.0,148610.41,3.0,0.0,1.0,104502.02, +595.0,France,Male,52.0,9.0,0.0,1.0,1.0,1.0,106340.66, +741.0,Spain,Male,40.0,4.0,104784.23,1.0,1.0,0.0,135163.76, +635.0,Spain,Male,46.0,8.0,0.0,2.0,1.0,1.0,60739.16, +738.0,France,Male,26.0,9.0,0.0,2.0,1.0,1.0,48644.94, +565.0,Germany,Female,58.0,3.0,108888.24,3.0,0.0,1.0,135875.51,0.0 +521.0,France,Male,38.0,6.0,0.0,2.0,1.0,0.0,51454.06, +682.0,France,Female,64.0,10.0,128306.7,1.0,0.0,1.0,66040.83, +584.0,Spain,Female,48.0,2.0,213146.2,1.0,1.0,0.0,75161.25,0.0 +582.0,France,Male,30.0,2.0,0.0,2.0,1.0,1.0,132029.95, +663.0,Germany,Male,37.0,7.0,143625.83,2.0,0.0,1.0,176487.05, +559.0,France,Female,43.0,1.0,0.0,2.0,1.0,1.0,196645.87, +581.0,France,Male,37.0,7.0,0.0,2.0,1.0,1.0,74320.75, +729.0,Spain,Female,45.0,7.0,91091.06,2.0,1.0,0.0,71133.12, +553.0,Germany,Male,53.0,5.0,127997.83,1.0,1.0,0.0,165378.66, +733.0,Germany,Male,38.0,9.0,111347.37,2.0,0.0,1.0,194872.97, +790.0,France,Male,26.0,5.0,0.0,1.0,1.0,0.0,20510.79, +587.0,France,Male,42.0,1.0,0.0,1.0,0.0,0.0,123006.91, +615.0,Germany,Female,33.0,3.0,137657.25,2.0,1.0,1.0,171657.57, +565.0,France,Male,34.0,7.0,0.0,1.0,0.0,0.0,74593.84, +611.0,Spain,Male,34.0,4.0,0.0,2.0,1.0,0.0,170950.58,1.0 +789.0,Germany,Male,43.0,8.0,119654.44,2.0,0.0,1.0,148412.24, +735.0,France,Female,33.0,4.0,0.0,2.0,1.0,0.0,149474.69,0.0 +781.0,France,Female,48.0,0.0,57098.96,1.0,1.0,0.0,85644.06, +466.0,France,Male,26.0,9.0,105522.06,1.0,1.0,0.0,10842.46, +726.0,Germany,Male,50.0,9.0,94504.35,1.0,0.0,1.0,5078.9, +601.0,France,Male,41.0,1.0,123971.16,1.0,0.0,1.0,172814.99, +657.0,Spain,Female,22.0,6.0,0.0,3.0,0.0,1.0,168412.07, +642.0,France,Female,33.0,4.0,84607.34,2.0,0.0,1.0,60059.47, +748.0,France,Male,44.0,4.0,112610.77,1.0,0.0,1.0,2048.55, +759.0,Spain,Male,38.0,1.0,0.0,2.0,1.0,0.0,20778.39, +437.0,France,Male,49.0,9.0,111634.29,2.0,0.0,1.0,166440.32, +518.0,France,Male,46.0,3.0,0.0,2.0,1.0,0.0,76515.79, +516.0,France,Male,33.0,7.0,115195.58,1.0,1.0,1.0,11205.5, +606.0,Germany,Male,27.0,2.0,130274.26,2.0,1.0,0.0,147533.09, +727.0,Spain,Female,41.0,10.0,0.0,2.0,0.0,1.0,47468.56, +636.0,Spain,Male,76.0,9.0,126534.6,1.0,1.0,1.0,39789.62, +574.0,France,Male,41.0,1.0,0.0,2.0,0.0,0.0,70550.0, +500.0,France,Male,56.0,1.0,100374.58,1.0,1.0,0.0,118490.8,0.0 +450.0,France,Male,29.0,7.0,117199.8,1.0,1.0,1.0,43480.63, +629.0,France,Female,37.0,6.0,129101.3,1.0,1.0,1.0,23971.33,0.0 +648.0,Germany,Female,39.0,3.0,126935.98,2.0,0.0,1.0,57995.74, +561.0,Germany,Female,45.0,2.0,168085.38,2.0,0.0,1.0,115719.08, +780.0,France,Male,76.0,10.0,121313.88,1.0,0.0,1.0,64872.33,0.0 +776.0,France,Female,43.0,4.0,0.0,2.0,0.0,1.0,162137.5, +750.0,France,Female,26.0,1.0,151510.17,2.0,1.0,1.0,19921.72, +628.0,France,Male,30.0,8.0,89182.09,1.0,1.0,1.0,13126.9, +677.0,France,Male,27.0,2.0,0.0,2.0,1.0,1.0,20092.89, +591.0,France,Female,33.0,4.0,113743.37,1.0,1.0,0.0,124625.08, +780.0,France,Female,26.0,3.0,140356.7,1.0,1.0,0.0,117144.15, +729.0,Germany,Female,39.0,1.0,131513.26,1.0,1.0,1.0,193715.0, +635.0,Spain,Male,24.0,4.0,0.0,2.0,1.0,1.0,70668.77,0.0 +494.0,France,Female,35.0,9.0,112727.06,2.0,1.0,0.0,183752.91, +751.0,Spain,Male,52.0,8.0,0.0,2.0,0.0,1.0,179291.85,0.0 +520.0,France,Female,39.0,1.0,73493.17,1.0,0.0,1.0,109626.13, +738.0,Germany,Male,58.0,2.0,133745.44,4.0,1.0,0.0,28373.86,0.0 +743.0,France,Male,30.0,7.0,77599.23,1.0,0.0,0.0,144407.1, +598.0,France,Male,35.0,8.0,114212.6,1.0,1.0,1.0,74322.85, +531.0,Spain,Female,45.0,1.0,126495.57,2.0,1.0,1.0,164741.5,0.0 +711.0,France,Female,29.0,3.0,130181.47,2.0,1.0,0.0,31811.44, +516.0,France,Male,35.0,5.0,128653.59,1.0,1.0,0.0,127558.26, +816.0,France,Male,31.0,8.0,0.0,2.0,1.0,1.0,28407.4, +809.0,Germany,Male,33.0,8.0,148055.74,1.0,0.0,0.0,199203.21, +581.0,Germany,Female,54.0,2.0,152508.99,1.0,1.0,0.0,187597.98, +666.0,France,Female,66.0,7.0,0.0,2.0,1.0,1.0,99792.82,0.0 +487.0,Germany,Female,61.0,5.0,110368.03,1.0,0.0,0.0,11384.45,0.0 +660.0,Spain,Female,28.0,3.0,128929.88,1.0,1.0,1.0,198069.71, +529.0,France,Male,43.0,6.0,93616.35,2.0,0.0,0.0,98348.66, +726.0,Spain,Female,26.0,1.0,80780.16,1.0,1.0,1.0,19225.85,0.0 +766.0,France,Female,52.0,7.0,92510.9,2.0,0.0,1.0,66193.61, +850.0,France,Female,55.0,10.0,98488.08,1.0,1.0,0.0,155879.57, +609.0,France,Male,53.0,7.0,0.0,2.0,0.0,1.0,52332.85, +507.0,Germany,Male,31.0,2.0,134237.07,1.0,1.0,1.0,166423.66, +738.0,France,Male,35.0,5.0,161274.05,2.0,1.0,0.0,181429.87, +601.0,Germany,Female,48.0,8.0,120782.7,1.0,1.0,0.0,63940.68,0.0 +655.0,Germany,Female,72.0,5.0,138089.97,2.0,1.0,1.0,99920.41, +794.0,France,Male,46.0,6.0,0.0,2.0,1.0,0.0,195325.74, +589.0,Germany,Male,55.0,7.0,119961.48,1.0,1.0,0.0,65156.83, +581.0,France,Female,47.0,1.0,122949.14,1.0,0.0,0.0,180251.68,0.0 +765.0,France,Female,56.0,1.0,0.0,1.0,1.0,0.0,13228.93, +665.0,Spain,Female,32.0,10.0,0.0,1.0,1.0,1.0,22487.45, +573.0,France,Male,35.0,9.0,0.0,2.0,1.0,0.0,11743.89, +625.0,France,Female,36.0,8.0,129944.39,2.0,0.0,0.0,198914.8, +613.0,France,Female,21.0,7.0,105627.95,1.0,1.0,1.0,36560.51, +575.0,France,Male,36.0,7.0,0.0,1.0,1.0,1.0,55868.97, +433.0,Spain,Male,27.0,2.0,0.0,2.0,1.0,1.0,153698.65, +736.0,Germany,Female,36.0,8.0,103914.17,1.0,1.0,1.0,110035.88, +541.0,France,Male,37.0,9.0,212314.03,1.0,0.0,1.0,148814.54, +543.0,Germany,Male,37.0,8.0,140894.06,2.0,1.0,1.0,118059.19, +694.0,France,Male,47.0,4.0,0.0,2.0,1.0,0.0,197528.62, +537.0,France,Male,37.0,3.0,0.0,2.0,1.0,1.0,20603.32, +631.0,France,Male,29.0,2.0,0.0,2.0,1.0,1.0,18581.84, +693.0,France,Male,31.0,1.0,0.0,2.0,0.0,1.0,182270.88,0.0 +850.0,Germany,Male,56.0,1.0,169743.83,1.0,0.0,0.0,155850.4, +603.0,Germany,Male,35.0,1.0,123407.69,1.0,1.0,0.0,152541.89, +651.0,Germany,Female,45.0,6.0,86714.06,1.0,1.0,0.0,85869.89, +815.0,Germany,Male,37.0,2.0,110777.26,2.0,1.0,0.0,2383.59,0.0 +653.0,France,Male,33.0,1.0,0.0,2.0,0.0,0.0,53379.52, +575.0,Spain,Male,43.0,3.0,0.0,1.0,1.0,0.0,83594.51,0.0 +693.0,Spain,Male,47.0,8.0,107604.66,1.0,1.0,1.0,80149.27, +577.0,Germany,Female,43.0,3.0,127940.47,1.0,0.0,0.0,125140.72, +666.0,France,Female,31.0,2.0,79589.43,1.0,0.0,0.0,4050.57, +665.0,France,Male,36.0,1.0,0.0,2.0,0.0,1.0,121505.61, +573.0,Spain,Male,41.0,5.0,0.0,2.0,0.0,1.0,14479.29, +757.0,France,Male,36.0,7.0,144852.06,1.0,0.0,0.0,130861.95, +568.0,Spain,Male,27.0,5.0,126815.97,2.0,0.0,1.0,118648.12, +731.0,France,Male,43.0,2.0,0.0,1.0,1.0,1.0,170034.95,0.0 +637.0,France,Male,41.0,2.0,0.0,2.0,0.0,1.0,102515.42, +663.0,Germany,Female,36.0,6.0,77253.5,1.0,0.0,0.0,35817.97,0.0 +557.0,Spain,Female,40.0,4.0,0.0,2.0,0.0,1.0,105433.53,1.0 +586.0,France,Female,35.0,7.0,164769.02,3.0,1.0,0.0,119814.25, +732.0,Germany,Female,45.0,6.0,98792.4,1.0,1.0,0.0,81491.7, +685.0,France,Female,33.0,1.0,0.0,3.0,0.0,1.0,70221.13, +705.0,Germany,Female,43.0,7.0,79974.55,1.0,1.0,1.0,103108.33, +768.0,France,Female,36.0,3.0,141334.95,1.0,0.0,1.0,125870.5, +622.0,France,Female,39.0,9.0,83456.79,2.0,0.0,0.0,38882.34, +701.0,Spain,Female,33.0,7.0,123870.07,1.0,1.0,0.0,97794.71, +850.0,Germany,Female,38.0,2.0,102741.15,2.0,0.0,1.0,23974.85, +619.0,Germany,Female,52.0,8.0,124099.13,1.0,0.0,0.0,23904.52, +714.0,Spain,Male,20.0,3.0,0.0,2.0,0.0,1.0,150465.93, +652.0,Germany,Female,58.0,3.0,116353.2,2.0,0.0,1.0,193502.9, +542.0,France,Female,59.0,2.0,68892.77,2.0,1.0,0.0,7905.06, +699.0,France,Male,53.0,4.0,0.0,2.0,0.0,1.0,111307.98,0.0 +504.0,France,Female,32.0,8.0,206663.75,1.0,0.0,0.0,16281.94, +717.0,Spain,Female,36.0,2.0,164557.95,1.0,0.0,1.0,82336.73, +791.0,Spain,Male,25.0,7.0,0.0,1.0,1.0,0.0,89666.28, +499.0,Spain,Female,53.0,1.0,75225.53,2.0,0.0,0.0,144849.1, +586.0,Germany,Male,38.0,2.0,136858.42,1.0,0.0,1.0,189143.94, +527.0,France,Male,39.0,4.0,0.0,2.0,1.0,0.0,167183.07, +596.0,France,Male,39.0,9.0,0.0,1.0,1.0,0.0,48963.59,1.0 +544.0,France,Female,45.0,6.0,0.0,2.0,0.0,1.0,151401.33, +623.0,France,Female,57.0,7.0,71481.79,2.0,1.0,1.0,84421.34, +843.0,France,Female,38.0,8.0,134887.53,1.0,1.0,1.0,10804.04, +749.0,France,Male,37.0,10.0,185063.7,2.0,1.0,1.0,134526.87, +575.0,Spain,Male,30.0,2.0,0.0,2.0,1.0,1.0,82222.86, +786.0,France,Female,33.0,0.0,83036.05,1.0,0.0,1.0,154990.58, +405.0,Germany,Male,31.0,5.0,133299.67,2.0,1.0,1.0,72950.14, +641.0,France,Male,31.0,10.0,155978.17,1.0,1.0,0.0,91510.71, +850.0,Germany,Male,38.0,3.0,54901.01,1.0,1.0,1.0,140075.55,0.0 +662.0,France,Female,47.0,6.0,0.0,2.0,1.0,1.0,129392.75, +627.0,Germany,Male,28.0,5.0,71097.23,1.0,1.0,1.0,130504.49, +581.0,Germany,Male,31.0,6.0,116891.72,1.0,1.0,0.0,107137.3,0.0 +548.0,France,Female,46.0,1.0,0.0,1.0,1.0,1.0,104469.06, +488.0,France,Female,31.0,8.0,97588.6,1.0,0.0,0.0,124210.53, +736.0,Germany,Male,57.0,9.0,95295.39,1.0,1.0,0.0,28434.44, +710.0,France,Male,38.0,3.0,130588.82,1.0,1.0,1.0,154997.64, +726.0,Spain,Male,30.0,8.0,134152.29,1.0,1.0,1.0,147822.44, +714.0,Germany,Male,21.0,6.0,86402.52,2.0,0.0,0.0,27330.59,0.0 +684.0,France,Male,32.0,9.0,100249.41,2.0,0.0,1.0,67599.69, +550.0,Spain,Male,34.0,3.0,0.0,2.0,0.0,0.0,131281.28, +734.0,Germany,Female,52.0,6.0,71283.09,2.0,0.0,1.0,38984.37, +629.0,Germany,Male,35.0,7.0,156847.29,2.0,1.0,0.0,31824.29,0.0 +698.0,France,Male,57.0,6.0,136325.48,2.0,1.0,1.0,72549.27, +640.0,France,Male,45.0,1.0,0.0,1.0,1.0,1.0,10908.33, +731.0,France,Female,41.0,9.0,152243.57,1.0,1.0,1.0,88783.59, +653.0,Spain,Male,30.0,4.0,0.0,2.0,1.0,0.0,120736.04, +550.0,Germany,Female,45.0,8.0,111257.59,1.0,0.0,0.0,97623.42, +729.0,Germany,Male,36.0,8.0,152899.24,2.0,1.0,0.0,177130.33,0.0 +651.0,France,Male,34.0,3.0,0.0,2.0,1.0,1.0,105599.65, +622.0,France,Male,31.0,5.0,106260.67,1.0,1.0,1.0,2578.43, +685.0,Spain,Male,43.0,9.0,0.0,2.0,1.0,0.0,107811.28,0.0 +516.0,Spain,Female,31.0,3.0,0.0,2.0,1.0,0.0,124202.26, +791.0,Germany,Male,31.0,1.0,130240.33,1.0,0.0,0.0,96546.55, +452.0,Spain,Male,44.0,3.0,88915.85,1.0,1.0,0.0,69697.74,0.0 +716.0,France,Female,29.0,6.0,0.0,2.0,1.0,1.0,98998.61, +703.0,Spain,Male,29.0,9.0,0.0,2.0,1.0,0.0,50679.48,0.0 +684.0,Germany,Female,48.0,10.0,126384.42,1.0,1.0,1.0,198129.36,1.0 +489.0,France,Female,47.0,8.0,103894.38,2.0,1.0,1.0,107625.46, +475.0,France,Female,32.0,8.0,119023.28,1.0,1.0,0.0,100816.29,0.0 +655.0,Germany,Male,52.0,9.0,144696.75,1.0,1.0,1.0,49025.79, +725.0,Germany,Male,39.0,1.0,50880.98,2.0,1.0,1.0,184023.54,0.0 +637.0,France,Female,41.0,9.0,0.0,2.0,1.0,0.0,145477.36, +649.0,France,Female,36.0,2.0,0.0,2.0,0.0,1.0,75035.48, +835.0,France,Female,56.0,2.0,0.0,2.0,1.0,1.0,39820.13, +691.0,France,Female,31.0,5.0,40915.55,1.0,1.0,0.0,126213.84,0.0 +700.0,Germany,Female,40.0,4.0,148571.07,1.0,1.0,0.0,189826.96,0.0 +741.0,Spain,Male,25.0,4.0,0.0,2.0,1.0,1.0,73873.65,0.0 +758.0,Spain,Male,56.0,1.0,0.0,2.0,1.0,1.0,10643.38,0.0 +781.0,Germany,Female,48.0,9.0,82794.18,1.0,1.0,0.0,124720.68, +550.0,Germany,Female,42.0,10.0,128707.31,1.0,1.0,0.0,63092.65, +547.0,France,Female,49.0,2.0,0.0,1.0,0.0,0.0,65466.93, +592.0,France,Female,31.0,2.0,84102.11,2.0,0.0,1.0,116385.24, +850.0,France,Male,29.0,1.0,0.0,2.0,0.0,0.0,152996.89, +606.0,Germany,Male,38.0,3.0,99897.53,1.0,0.0,0.0,37054.65, +656.0,Germany,Female,49.0,9.0,97092.87,1.0,1.0,0.0,74771.22, +567.0,France,Female,26.0,2.0,0.0,2.0,1.0,1.0,78651.55, +644.0,Germany,Male,35.0,5.0,161591.11,3.0,1.0,1.0,63795.62, +687.0,Spain,Female,40.0,1.0,0.0,2.0,1.0,0.0,8207.36, +661.0,France,Female,31.0,3.0,133964.3,1.0,1.0,1.0,166187.1, +850.0,France,Male,49.0,6.0,128663.9,1.0,1.0,0.0,65769.3, +686.0,France,Female,34.0,3.0,123971.51,2.0,1.0,0.0,147794.63,0.0 +850.0,France,Female,28.0,9.0,0.0,2.0,1.0,1.0,164864.67, +757.0,France,Male,32.0,9.0,0.0,2.0,1.0,0.0,115950.96, +665.0,Germany,Male,25.0,5.0,153611.83,2.0,1.0,0.0,35321.65, +775.0,France,Male,45.0,8.0,0.0,1.0,1.0,0.0,130376.68, +602.0,Spain,Male,29.0,5.0,103907.28,1.0,1.0,0.0,161229.84,0.0 +688.0,Germany,Male,45.0,9.0,103399.87,1.0,0.0,0.0,129870.93, +586.0,Germany,Female,36.0,5.0,103700.69,1.0,1.0,0.0,194072.56, +568.0,Spain,Male,28.0,1.0,127289.28,1.0,0.0,0.0,45611.51, +533.0,Germany,Female,22.0,10.0,115743.6,1.0,0.0,0.0,43852.05, +613.0,France,Male,37.0,9.0,108286.5,1.0,1.0,1.0,114153.44, +823.0,France,Male,34.0,3.0,105057.33,1.0,1.0,0.0,9217.92, +740.0,Spain,Female,56.0,4.0,99097.33,1.0,1.0,1.0,85016.64, +632.0,France,Male,38.0,4.0,0.0,2.0,0.0,0.0,192505.62, +717.0,Spain,Female,22.0,6.0,101060.25,1.0,0.0,1.0,84699.56,0.0 +694.0,France,Male,32.0,0.0,91956.49,1.0,1.0,1.0,59961.81, +656.0,France,Male,37.0,2.0,0.0,2.0,0.0,1.0,67840.81, +566.0,Germany,Male,54.0,4.0,118614.6,2.0,1.0,1.0,172601.62, +547.0,Germany,Male,49.0,8.0,121537.71,2.0,1.0,0.0,46521.45, +662.0,France,Male,32.0,9.0,0.0,2.0,0.0,0.0,65089.38, +527.0,France,Male,32.0,0.0,0.0,1.0,1.0,0.0,109523.88, +474.0,France,Male,54.0,3.0,0.0,1.0,1.0,0.0,108409.17, +435.0,Germany,Male,44.0,3.0,151739.65,1.0,1.0,0.0,167461.5, +661.0,France,Female,41.0,1.0,0.0,2.0,0.0,1.0,131300.68,0.0 +850.0,Germany,Female,45.0,5.0,103909.86,1.0,1.0,0.0,60083.11,0.0 +685.0,Spain,Female,30.0,2.0,0.0,3.0,1.0,1.0,172576.43, +781.0,France,Female,27.0,5.0,0.0,2.0,0.0,0.0,72969.9, +594.0,Germany,Male,38.0,6.0,63176.44,2.0,1.0,1.0,14466.08, +480.0,France,Female,40.0,7.0,0.0,1.0,1.0,0.0,170332.67, +831.0,Germany,Male,44.0,3.0,111100.98,1.0,1.0,1.0,28144.07, +562.0,Germany,Female,39.0,6.0,130565.02,1.0,1.0,0.0,9854.72, +575.0,France,Male,24.0,2.0,0.0,2.0,1.0,1.0,119927.81, +524.0,France,Male,30.0,1.0,0.0,2.0,1.0,0.0,126812.85, +519.0,France,Male,39.0,1.0,97700.02,1.0,1.0,1.0,30709.03, +616.0,France,Male,37.0,9.0,0.0,1.0,1.0,0.0,111312.96, +735.0,France,Female,25.0,3.0,91718.8,1.0,0.0,0.0,28411.23, +662.0,France,Male,74.0,6.0,0.0,2.0,1.0,0.0,123583.85, +680.0,France,Male,27.0,3.0,0.0,1.0,1.0,0.0,32454.26, +560.0,France,Female,38.0,5.0,83714.41,1.0,1.0,1.0,33245.97, +756.0,France,Male,27.0,8.0,0.0,2.0,1.0,1.0,157932.75, +630.0,Spain,Male,32.0,4.0,82034.0,1.0,0.0,0.0,146326.45,0.0 +700.0,France,Female,34.0,2.0,76322.69,1.0,1.0,0.0,128136.29, +659.0,France,Female,38.0,9.0,0.0,2.0,1.0,1.0,132809.18, +720.0,France,Female,34.0,6.0,110717.38,1.0,1.0,1.0,9398.45, +805.0,France,Male,39.0,2.0,0.0,1.0,0.0,0.0,166650.32, +603.0,France,Female,48.0,5.0,0.0,1.0,1.0,0.0,100478.6, +726.0,France,Male,31.0,9.0,0.0,2.0,1.0,1.0,106117.3, +573.0,Germany,Female,35.0,9.0,206868.78,2.0,0.0,1.0,102986.15, +720.0,France,Male,26.0,10.0,51962.91,2.0,1.0,0.0,45507.24, +778.0,France,Female,34.0,7.0,109564.1,1.0,0.0,1.0,113046.81, +531.0,France,Female,47.0,6.0,0.0,1.0,0.0,0.0,194998.34,1.0 +642.0,Germany,Female,56.0,6.0,103244.86,2.0,1.0,0.0,143049.72, +623.0,France,Male,43.0,1.0,0.0,2.0,1.0,1.0,146379.3, +688.0,France,Female,32.0,6.0,123157.95,1.0,1.0,0.0,172531.23, +655.0,France,Female,60.0,3.0,0.0,2.0,1.0,1.0,86981.45, +658.0,Germany,Female,45.0,9.0,134562.8,1.0,1.0,1.0,159268.67, +607.0,Spain,Male,40.0,1.0,112544.45,1.0,1.0,1.0,19842.22, +657.0,Germany,Female,48.0,5.0,143595.87,1.0,0.0,0.0,101314.65, +777.0,Germany,Female,37.0,10.0,121532.17,2.0,1.0,1.0,73464.88, +646.0,Spain,Male,25.0,5.0,182876.88,2.0,1.0,1.0,42537.59, +813.0,Germany,Male,30.0,1.0,116416.94,1.0,0.0,1.0,85808.22, +446.0,France,Female,39.0,1.0,90217.07,1.0,1.0,0.0,191350.48, +657.0,France,Male,32.0,3.0,118829.03,2.0,1.0,1.0,73127.61, +728.0,France,Female,46.0,2.0,109705.52,1.0,1.0,0.0,20276.87, +647.0,Germany,Male,44.0,4.0,93960.35,1.0,1.0,0.0,36579.53,1.0 +774.0,France,Male,36.0,7.0,103688.19,1.0,0.0,1.0,118971.74, +540.0,Spain,Female,31.0,10.0,118158.74,1.0,1.0,1.0,158027.57, +592.0,France,Female,66.0,5.0,149950.19,1.0,1.0,1.0,76267.59, +690.0,Spain,Male,49.0,8.0,116622.73,1.0,0.0,1.0,51011.29, +819.0,France,Male,38.0,9.0,122334.26,2.0,1.0,1.0,181507.44, +665.0,France,Female,55.0,8.0,136354.16,1.0,1.0,1.0,93769.89, +727.0,Spain,Male,43.0,2.0,97403.18,1.0,1.0,1.0,107415.02,0.0 +544.0,France,Female,29.0,1.0,118560.55,1.0,1.0,1.0,164137.36,0.0 +737.0,Germany,Female,43.0,1.0,125537.38,1.0,1.0,0.0,138510.01, +850.0,France,Male,46.0,9.0,117640.39,1.0,1.0,0.0,88920.68, +650.0,Spain,Female,30.0,6.0,0.0,1.0,0.0,0.0,67997.13, +678.0,Spain,Female,39.0,6.0,0.0,1.0,0.0,1.0,185366.56, +612.0,Germany,Male,42.0,5.0,141927.1,1.0,1.0,1.0,43018.98, +760.0,Spain,Female,33.0,1.0,118114.28,2.0,0.0,1.0,156660.21, +746.0,France,Male,37.0,2.0,0.0,2.0,1.0,0.0,143194.05, +546.0,France,Male,34.0,4.0,165363.31,2.0,1.0,1.0,25744.13, +627.0,Spain,Female,55.0,6.0,0.0,1.0,0.0,0.0,91943.94, +700.0,France,Female,32.0,3.0,0.0,1.0,0.0,0.0,95740.37, +493.0,Spain,Male,32.0,8.0,46161.18,1.0,1.0,1.0,79577.4, +646.0,France,Male,36.0,6.0,124445.52,1.0,1.0,0.0,88481.32, +637.0,Spain,Female,34.0,9.0,0.0,2.0,0.0,0.0,26057.08,0.0 +723.0,Spain,Male,38.0,6.0,0.0,2.0,1.0,1.0,94415.6, +586.0,Spain,Male,29.0,2.0,132450.24,1.0,1.0,1.0,36176.63, +639.0,Spain,Female,27.0,2.0,0.0,1.0,1.0,1.0,82938.99, +625.0,France,Male,39.0,5.0,0.0,1.0,1.0,0.0,99800.87, +585.0,Germany,Male,50.0,2.0,125845.66,1.0,1.0,0.0,9439.31, +514.0,France,Male,35.0,3.0,121030.9,1.0,1.0,0.0,10008.68, +645.0,France,Female,55.0,7.0,0.0,2.0,1.0,1.0,18369.33, +565.0,Germany,Female,40.0,1.0,89994.71,2.0,0.0,1.0,121084.27, +501.0,Germany,Female,34.0,7.0,93244.42,1.0,0.0,1.0,199805.63, +685.0,France,Female,40.0,7.0,0.0,1.0,1.0,0.0,72852.74, +581.0,Spain,Female,31.0,6.0,0.0,2.0,1.0,0.0,188377.21, +695.0,France,Male,28.0,5.0,171069.39,2.0,1.0,1.0,88689.4, +544.0,Germany,Male,39.0,4.0,142406.43,2.0,1.0,0.0,146637.45, +521.0,France,Male,39.0,7.0,0.0,2.0,0.0,1.0,653.58, +820.0,Germany,Male,39.0,9.0,111336.89,1.0,1.0,0.0,16770.31, +789.0,Germany,Male,33.0,8.0,151607.56,1.0,1.0,0.0,4389.4,0.0 +699.0,France,Female,43.0,3.0,80764.03,1.0,1.0,0.0,199378.58, +706.0,Germany,Male,67.0,1.0,123276.69,2.0,1.0,1.0,86507.88, +554.0,Germany,Female,55.0,0.0,108477.27,1.0,0.0,1.0,140003.0, +689.0,Spain,Female,63.0,1.0,0.0,2.0,1.0,1.0,186526.12, +563.0,Germany,Male,44.0,7.0,105007.31,2.0,1.0,1.0,197812.16, +529.0,Spain,Male,38.0,7.0,99842.5,2.0,1.0,0.0,90256.06, +577.0,Germany,Female,44.0,1.0,152086.15,1.0,0.0,1.0,44719.5, +644.0,Spain,Male,32.0,3.0,136659.74,1.0,1.0,1.0,14187.78, +679.0,Germany,Male,58.0,8.0,125850.53,2.0,1.0,1.0,87008.17, +688.0,France,Male,26.0,0.0,0.0,2.0,1.0,0.0,105784.85, +713.0,France,Male,46.0,5.0,0.0,1.0,1.0,1.0,55701.62, +647.0,Germany,Male,51.0,4.0,131156.76,1.0,1.0,0.0,29883.63, +604.0,France,Female,71.0,2.0,0.0,2.0,1.0,1.0,49506.82, +731.0,Germany,Male,35.0,2.0,127862.93,2.0,1.0,0.0,139083.7, +669.0,France,Male,25.0,1.0,157848.53,1.0,0.0,0.0,37543.93,0.0 +698.0,Germany,Female,40.0,8.0,150777.1,1.0,1.0,0.0,114732.62,1.0 +462.0,Germany,Male,34.0,1.0,94682.56,2.0,1.0,0.0,138478.2, +631.0,Germany,Female,33.0,4.0,123246.7,1.0,0.0,0.0,112687.57,0.0 +570.0,France,Female,61.0,6.0,142105.35,1.0,1.0,1.0,45214.04, +717.0,Germany,Female,35.0,5.0,103214.71,1.0,1.0,0.0,172172.7, +645.0,Germany,Male,41.0,2.0,93925.3,1.0,1.0,0.0,123982.14, +707.0,France,Male,42.0,2.0,16893.59,1.0,1.0,1.0,77502.56, +737.0,France,Male,45.0,10.0,0.0,2.0,1.0,0.0,1364.54, +679.0,Spain,Female,35.0,8.0,119182.73,1.0,0.0,0.0,121210.09,1.0 +701.0,Germany,Male,32.0,5.0,102500.34,1.0,0.0,0.0,106287.77, +632.0,France,Male,40.0,5.0,147650.68,1.0,1.0,1.0,199674.83, +580.0,Spain,Female,57.0,0.0,136820.99,1.0,0.0,1.0,108528.74, +697.0,France,Female,38.0,1.0,182065.85,1.0,1.0,0.0,49503.5, +742.0,France,Male,27.0,0.0,0.0,2.0,0.0,1.0,131534.96, +703.0,France,Female,51.0,3.0,0.0,3.0,1.0,1.0,77294.56,1.0 +583.0,France,Male,36.0,8.0,0.0,2.0,0.0,1.0,5571.59, +802.0,Spain,Male,38.0,7.0,0.0,2.0,0.0,1.0,57764.65, +588.0,Spain,Male,34.0,6.0,121132.26,2.0,1.0,0.0,86460.28,0.0 +850.0,France,Female,62.0,1.0,124678.35,1.0,1.0,0.0,70916.0, +639.0,France,Male,39.0,6.0,150555.83,1.0,1.0,0.0,30414.17, +706.0,Germany,Female,28.0,6.0,124923.35,2.0,1.0,1.0,50299.14,0.0 +746.0,France,Male,58.0,3.0,0.0,3.0,1.0,1.0,80344.96, +623.0,Spain,Male,44.0,1.0,83325.77,1.0,0.0,1.0,80828.78, +495.0,Germany,Male,39.0,8.0,120252.02,2.0,1.0,1.0,10160.23, +681.0,Spain,Male,65.0,7.0,134714.7,2.0,0.0,1.0,190419.81,0.0 +578.0,Germany,Male,34.0,8.0,147487.23,2.0,1.0,0.0,66680.77,0.0 +719.0,Spain,Male,37.0,10.0,145382.61,1.0,1.0,0.0,80408.59, +559.0,France,Male,52.0,2.0,0.0,1.0,1.0,0.0,129013.59, +590.0,Spain,Male,37.0,6.0,169902.92,1.0,1.0,1.0,128256.18, +578.0,Spain,Female,28.0,8.0,161592.76,1.0,1.0,0.0,177834.79, +653.0,France,Male,34.0,5.0,118838.75,1.0,1.0,1.0,52820.13, +756.0,Spain,Male,38.0,6.0,119208.85,1.0,1.0,0.0,169763.89, +626.0,France,Female,44.0,2.0,0.0,1.0,0.0,1.0,173117.22, +720.0,France,Male,52.0,7.0,0.0,1.0,1.0,1.0,14781.12,0.0 +695.0,Germany,Female,53.0,8.0,95231.91,1.0,0.0,0.0,70140.8, +425.0,France,Male,39.0,4.0,0.0,2.0,1.0,0.0,197226.32, +608.0,Germany,Male,33.0,1.0,102772.67,2.0,1.0,0.0,70705.58, +719.0,Spain,Male,44.0,2.0,0.0,2.0,1.0,0.0,196582.19, +590.0,Germany,Female,27.0,8.0,123599.49,2.0,1.0,0.0,1676.92, +723.0,France,Male,25.0,3.0,0.0,2.0,1.0,1.0,134509.47,0.0 +693.0,France,Male,31.0,2.0,0.0,2.0,1.0,1.0,107759.31, +734.0,France,Male,45.0,2.0,0.0,2.0,1.0,0.0,99593.28, +648.0,Germany,Female,43.0,1.0,107963.38,1.0,0.0,0.0,186438.86, +634.0,France,Male,77.0,5.0,0.0,2.0,1.0,1.0,161579.85, +759.0,France,Male,42.0,4.0,105420.18,1.0,0.0,1.0,121409.06,0.0 +672.0,France,Female,43.0,4.0,92599.55,2.0,1.0,1.0,167336.78, +635.0,Spain,Female,29.0,8.0,138296.94,2.0,1.0,0.0,141075.51,0.0 +649.0,France,Male,39.0,3.0,113096.41,1.0,1.0,1.0,60335.24, +734.0,France,Male,30.0,3.0,0.0,2.0,1.0,0.0,107640.25,0.0 +676.0,France,Male,20.0,1.0,80569.73,1.0,0.0,0.0,68621.98, +832.0,France,Female,29.0,5.0,0.0,2.0,1.0,0.0,178779.52, +623.0,France,Female,29.0,1.0,0.0,2.0,0.0,0.0,39382.06, +722.0,Germany,Male,29.0,1.0,107233.85,2.0,1.0,0.0,24924.92, +749.0,Germany,Female,33.0,10.0,76692.22,1.0,0.0,1.0,30396.43, +850.0,France,Female,34.0,2.0,0.0,2.0,1.0,1.0,171706.66, +769.0,Spain,Male,38.0,6.0,0.0,2.0,0.0,0.0,104393.78, +637.0,Germany,Female,39.0,3.0,109698.41,1.0,1.0,1.0,88391.29, +651.0,Spain,Male,38.0,2.0,0.0,3.0,1.0,0.0,67029.82, +675.0,France,Male,69.0,1.0,0.0,2.0,1.0,0.0,157097.09, +634.0,Germany,Female,59.0,3.0,95727.05,1.0,0.0,0.0,97939.4, +551.0,France,Male,35.0,7.0,129717.3,2.0,0.0,0.0,86937.2, +824.0,France,Male,45.0,3.0,129209.48,1.0,0.0,0.0,60151.77, +637.0,France,Male,27.0,9.0,128940.24,1.0,1.0,0.0,46786.92, +518.0,Germany,Male,29.0,9.0,125961.74,2.0,1.0,0.0,160303.08, +731.0,Spain,Male,70.0,3.0,0.0,2.0,1.0,1.0,141180.66, +674.0,Germany,Male,34.0,2.0,152797.9,1.0,1.0,0.0,175709.4,0.0 +681.0,France,Male,43.0,3.0,66338.68,1.0,1.0,1.0,18772.5, +579.0,Spain,Female,39.0,2.0,151963.26,2.0,1.0,0.0,158948.63, +778.0,Germany,Female,33.0,4.0,111063.73,2.0,1.0,0.0,83556.65, +599.0,Germany,Male,38.0,9.0,89111.63,1.0,0.0,0.0,157239.6, +704.0,Germany,Male,41.0,9.0,62078.21,2.0,1.0,0.0,129050.67, +762.0,Spain,Female,43.0,5.0,134204.67,1.0,1.0,1.0,139971.01, +740.0,Germany,Female,36.0,4.0,109044.6,1.0,0.0,0.0,94554.74,1.0 +763.0,Spain,Female,39.0,7.0,0.0,2.0,1.0,0.0,19458.75, +759.0,Spain,Female,35.0,7.0,147936.42,1.0,1.0,1.0,106785.7, +578.0,France,Male,39.0,2.0,0.0,2.0,1.0,0.0,70563.9, +554.0,Spain,Male,37.0,3.0,0.0,2.0,1.0,0.0,166177.3, +554.0,Spain,Female,27.0,4.0,0.0,2.0,1.0,1.0,135083.73, +821.0,Germany,Female,31.0,2.0,68927.57,1.0,1.0,1.0,25445.0, +577.0,Spain,Male,29.0,2.0,0.0,1.0,1.0,1.0,168924.41, +525.0,Germany,Female,30.0,0.0,157989.21,2.0,1.0,1.0,100687.67, +617.0,France,Male,40.0,5.0,190008.32,2.0,1.0,1.0,107047.92,0.0 +432.0,Germany,Female,45.0,3.0,110219.14,1.0,1.0,0.0,43046.7, +670.0,Germany,Male,40.0,2.0,164948.98,3.0,0.0,0.0,177028.0, +489.0,France,Female,51.0,3.0,0.0,2.0,0.0,1.0,174098.28, +609.0,France,Male,37.0,1.0,39344.83,1.0,1.0,1.0,178291.89, +589.0,Spain,Female,46.0,10.0,0.0,2.0,0.0,1.0,168369.37, +850.0,France,Male,33.0,10.0,0.0,1.0,1.0,0.0,4861.72,0.0 +671.0,France,Male,45.0,2.0,106376.85,1.0,0.0,1.0,158264.62,0.0 +637.0,France,Male,36.0,2.0,152606.82,1.0,1.0,1.0,71692.8, +758.0,France,Female,50.0,2.0,95813.76,3.0,1.0,1.0,67944.09, +556.0,France,Female,40.0,9.0,129860.37,1.0,0.0,0.0,17992.94, +510.0,Spain,Female,38.0,4.0,0.0,1.0,1.0,0.0,118913.53,0.0 +850.0,France,Male,32.0,4.0,0.0,1.0,1.0,1.0,180622.02, +645.0,Germany,Male,33.0,8.0,149564.61,1.0,0.0,0.0,149913.84, +670.0,France,Female,33.0,7.0,0.0,2.0,1.0,1.0,88187.81, +665.0,Germany,Female,51.0,9.0,110610.41,2.0,0.0,1.0,1112.76, +569.0,Spain,Female,42.0,1.0,0.0,1.0,1.0,1.0,83629.6, +672.0,France,Female,53.0,7.0,0.0,1.0,1.0,1.0,136910.18,0.0 +705.0,Spain,Female,57.0,3.0,0.0,2.0,1.0,1.0,34134.14, +583.0,France,Male,59.0,7.0,127450.14,1.0,0.0,1.0,67552.71,1.0 +802.0,Spain,Male,41.0,5.0,0.0,2.0,1.0,1.0,134626.3, +642.0,France,Female,39.0,4.0,0.0,1.0,1.0,1.0,76821.24,0.0 +465.0,France,Male,33.0,5.0,0.0,2.0,0.0,1.0,78698.09, +547.0,France,Female,51.0,1.0,0.0,2.0,1.0,1.0,56908.41, +850.0,Spain,Female,36.0,2.0,155180.56,2.0,0.0,0.0,169415.54, +728.0,France,Female,28.0,4.0,142243.54,2.0,1.0,0.0,33074.51, +471.0,France,Female,27.0,4.0,0.0,2.0,1.0,0.0,122642.09, +698.0,France,Male,37.0,5.0,98400.61,2.0,0.0,0.0,25017.28, +505.0,Germany,Female,33.0,3.0,106506.77,3.0,1.0,0.0,45445.78, +850.0,Spain,Male,22.0,3.0,0.0,1.0,1.0,1.0,144385.54, +643.0,France,Male,30.0,5.0,94443.77,1.0,1.0,1.0,165614.4,0.0 +660.0,France,Female,38.0,5.0,110570.78,2.0,1.0,0.0,195906.59, +759.0,France,Female,45.0,8.0,0.0,2.0,1.0,1.0,99251.24, +545.0,Germany,Male,37.0,9.0,110483.86,1.0,1.0,1.0,127394.67, +850.0,France,Female,39.0,2.0,0.0,2.0,1.0,0.0,179451.42, +717.0,France,Male,36.0,2.0,148061.89,1.0,1.0,0.0,179128.69,0.0 +601.0,Spain,Male,28.0,6.0,0.0,2.0,1.0,0.0,14665.28, +766.0,Germany,Female,34.0,6.0,106434.94,1.0,0.0,1.0,137995.66, +536.0,Spain,Male,40.0,9.0,0.0,2.0,1.0,1.0,11959.03, +816.0,Germany,Female,34.0,2.0,108410.87,2.0,1.0,0.0,102908.91, +480.0,Spain,Male,47.0,8.0,75408.33,1.0,1.0,0.0,25887.89, +611.0,France,Male,30.0,2.0,104145.65,1.0,0.0,0.0,159629.64, +845.0,Germany,Female,41.0,2.0,81733.74,2.0,0.0,0.0,199761.29,0.0 +586.0,Spain,Female,33.0,7.0,0.0,2.0,1.0,1.0,168261.4, +708.0,Spain,Female,41.0,5.0,0.0,1.0,0.0,1.0,157003.99,0.0 +598.0,Germany,Male,32.0,9.0,123938.6,2.0,1.0,0.0,198894.42, +597.0,Germany,Female,60.0,0.0,78539.84,1.0,0.0,1.0,48502.88, +611.0,France,Female,61.0,3.0,131583.59,4.0,0.0,1.0,66238.23, +736.0,France,Male,43.0,4.0,176134.54,1.0,1.0,1.0,52856.88, +614.0,France,Female,35.0,1.0,0.0,2.0,1.0,1.0,3342.62, +620.0,France,Female,67.0,3.0,0.0,2.0,1.0,1.0,43486.73,0.0 +672.0,France,Male,52.0,8.0,170008.84,1.0,0.0,0.0,56407.42, +747.0,Germany,Male,37.0,9.0,135776.36,3.0,1.0,0.0,85470.45, +798.0,Germany,Female,49.0,5.0,132571.67,1.0,1.0,1.0,31686.33, +752.0,Spain,Female,36.0,3.0,0.0,2.0,1.0,1.0,48505.1, +656.0,France,Female,46.0,5.0,113402.14,2.0,1.0,1.0,138849.06, +740.0,France,Female,37.0,5.0,0.0,2.0,1.0,1.0,27528.4, +452.0,Germany,Male,33.0,7.0,153663.27,1.0,1.0,0.0,111868.23, +710.0,Spain,Female,28.0,6.0,0.0,1.0,1.0,0.0,48426.98, +850.0,France,Female,40.0,5.0,0.0,2.0,1.0,0.0,35034.15, +733.0,France,Male,33.0,3.0,0.0,1.0,1.0,1.0,7666.73,0.0 +695.0,Spain,Female,31.0,5.0,0.0,2.0,0.0,1.0,13998.88, +689.0,Spain,Female,31.0,3.0,139799.63,1.0,0.0,1.0,120663.57, +793.0,Spain,Male,63.0,0.0,0.0,2.0,0.0,1.0,27166.75, +655.0,France,Female,45.0,0.0,0.0,2.0,1.0,0.0,166830.71, +712.0,France,Male,29.0,3.0,102540.61,1.0,1.0,1.0,189680.79, +532.0,France,Male,60.0,5.0,76705.87,2.0,0.0,1.0,13889.73, +670.0,Spain,Male,67.0,6.0,158719.57,1.0,1.0,1.0,118607.4, +568.0,Germany,Female,26.0,10.0,109819.16,2.0,1.0,0.0,154491.39, +753.0,Spain,Male,51.0,4.0,79811.72,2.0,0.0,1.0,68260.27, +758.0,Germany,Male,33.0,0.0,129142.54,2.0,1.0,1.0,26606.28, +563.0,France,Female,35.0,2.0,183572.84,1.0,1.0,1.0,66006.75, +590.0,France,Female,45.0,2.0,81828.22,1.0,1.0,0.0,52167.97, +749.0,Spain,Female,28.0,3.0,0.0,1.0,1.0,0.0,3408.7, +697.0,France,Male,36.0,7.0,0.0,2.0,1.0,1.0,74760.32, +556.0,France,Female,43.0,6.0,0.0,3.0,0.0,0.0,125154.57,0.0 +500.0,France,Male,45.0,2.0,109162.82,1.0,1.0,1.0,126145.08, +678.0,France,Male,36.0,0.0,107379.68,1.0,1.0,1.0,84460.18, +678.0,France,Male,31.0,2.0,0.0,2.0,1.0,1.0,58803.28,0.0 +709.0,France,Male,42.0,9.0,118546.71,1.0,0.0,1.0,77142.85, +456.0,France,Male,29.0,5.0,107000.49,1.0,1.0,1.0,153419.62, +774.0,Spain,Female,43.0,1.0,116360.07,1.0,1.0,0.0,17004.14, +537.0,Germany,Female,47.0,6.0,103163.35,1.0,1.0,0.0,16259.64, +529.0,France,Male,42.0,1.0,157498.9,1.0,1.0,1.0,82276.62, +610.0,Spain,Female,31.0,5.0,0.0,2.0,0.0,0.0,63736.36, +724.0,France,Male,40.0,10.0,0.0,1.0,1.0,0.0,127847.25,0.0 +684.0,France,Male,30.0,2.0,0.0,2.0,1.0,0.0,83473.82,0.0 +560.0,France,Female,31.0,3.0,115141.18,1.0,1.0,0.0,39806.75, +665.0,Spain,Female,51.0,8.0,0.0,1.0,1.0,1.0,38928.48, +647.0,France,Male,28.0,8.0,0.0,2.0,1.0,1.0,91055.27, +728.0,Spain,Female,37.0,4.0,0.0,1.0,0.0,0.0,4539.38, +731.0,Spain,Male,46.0,10.0,0.0,2.0,1.0,0.0,153015.42, +654.0,France,Male,32.0,6.0,0.0,2.0,1.0,1.0,137898.57, +807.0,France,Male,43.0,1.0,105799.32,2.0,1.0,0.0,34888.04,0.0 +618.0,France,Male,30.0,3.0,133844.22,1.0,1.0,1.0,31406.93, +478.0,Spain,Male,48.0,0.0,83287.05,2.0,0.0,1.0,44147.95, +577.0,Spain,Male,35.0,5.0,110080.3,1.0,1.0,1.0,109794.31, +710.0,France,Female,31.0,1.0,0.0,2.0,1.0,0.0,20081.3, +563.0,France,Female,39.0,5.0,0.0,2.0,1.0,1.0,17603.81,0.0 +592.0,Spain,Male,38.0,3.0,0.0,1.0,1.0,1.0,12905.89, +646.0,Germany,Female,35.0,1.0,121952.75,2.0,1.0,1.0,142839.82, +580.0,France,Female,35.0,8.0,0.0,2.0,0.0,1.0,10357.03,0.0 +731.0,France,Male,19.0,6.0,0.0,2.0,1.0,1.0,151581.79, +576.0,France,Female,50.0,8.0,0.0,2.0,1.0,1.0,57802.62, +613.0,Germany,Female,43.0,4.0,140681.68,1.0,0.0,1.0,20134.07, +634.0,Germany,Female,46.0,5.0,123642.36,1.0,1.0,1.0,49725.16, +784.0,Spain,Male,35.0,3.0,0.0,2.0,0.0,0.0,81483.64,0.0 +605.0,Germany,Female,43.0,8.0,125338.8,2.0,1.0,0.0,23970.13, +606.0,Germany,Male,45.0,5.0,63832.43,1.0,1.0,1.0,93707.8, +669.0,Germany,Female,35.0,4.0,108269.2,2.0,1.0,0.0,174969.92, +373.0,France,Male,42.0,7.0,0.0,1.0,1.0,0.0,77786.37, +757.0,Germany,Female,34.0,1.0,129398.01,2.0,0.0,0.0,44965.44, +639.0,France,Male,37.0,5.0,98186.7,1.0,0.0,1.0,173386.95, +850.0,Germany,Female,30.0,8.0,154870.28,1.0,1.0,1.0,54191.38, +613.0,Spain,Male,19.0,5.0,0.0,1.0,1.0,1.0,176903.35, +775.0,Germany,Female,38.0,6.0,179886.41,2.0,0.0,0.0,153122.58, +622.0,Germany,Female,58.0,7.0,116922.25,1.0,1.0,0.0,120415.61,0.0 +791.0,France,Male,28.0,4.0,0.0,1.0,1.0,0.0,174435.48, +734.0,Spain,Female,37.0,0.0,152760.24,1.0,1.0,1.0,48990.5, +629.0,France,Female,43.0,0.0,0.0,2.0,1.0,1.0,41263.69, +633.0,Spain,Female,46.0,3.0,0.0,2.0,1.0,0.0,120250.58, +656.0,Spain,Male,69.0,6.0,163975.09,1.0,1.0,1.0,36108.5,0.0 +529.0,Germany,Male,29.0,4.0,135759.4,1.0,0.0,0.0,112813.79, +709.0,Spain,Female,37.0,8.0,0.0,3.0,1.0,0.0,71738.56, +834.0,France,Female,49.0,2.0,131394.56,1.0,0.0,0.0,194365.76,1.0 +673.0,Spain,Female,37.0,8.0,0.0,2.0,1.0,1.0,183318.79,0.0 +714.0,France,Male,34.0,10.0,0.0,2.0,1.0,1.0,80234.14, +703.0,Spain,Male,73.0,5.0,137761.55,1.0,1.0,1.0,159677.46, +678.0,France,Female,34.0,6.0,0.0,2.0,1.0,1.0,124592.84, +669.0,France,Male,29.0,7.0,0.0,2.0,1.0,1.0,138145.62, +549.0,Germany,Female,55.0,1.0,137592.31,2.0,0.0,1.0,116548.02, +798.0,France,Male,37.0,8.0,0.0,3.0,0.0,0.0,110783.28,0.0 +750.0,France,Male,36.0,7.0,136492.92,3.0,1.0,1.0,26500.29, +565.0,Germany,Male,52.0,5.0,97720.35,2.0,1.0,0.0,175070.94, +684.0,Spain,Female,38.0,3.0,0.0,2.0,1.0,0.0,44255.65,0.0 +644.0,France,Female,40.0,10.0,139180.97,1.0,1.0,1.0,19959.67, +518.0,Germany,Male,46.0,4.0,113625.93,1.0,0.0,0.0,92727.42, +646.0,France,Male,24.0,8.0,0.0,2.0,0.0,0.0,92612.88, +779.0,Germany,Male,33.0,1.0,158456.76,1.0,1.0,1.0,197000.92,0.0 +850.0,France,Male,40.0,8.0,102800.65,1.0,1.0,0.0,60811.56, +701.0,France,Male,43.0,2.0,0.0,2.0,1.0,1.0,165303.79,0.0 +630.0,France,Male,26.0,7.0,129837.72,2.0,0.0,1.0,197001.15, +812.0,Spain,Male,38.0,3.0,127117.8,2.0,1.0,1.0,174822.74, +721.0,France,Female,35.0,6.0,118273.83,1.0,0.0,1.0,3086.89,1.0 +546.0,France,Female,27.0,8.0,0.0,2.0,1.0,1.0,14858.1,0.0 +691.0,Spain,Male,30.0,9.0,0.0,2.0,0.0,1.0,10963.04, +670.0,Spain,Female,65.0,1.0,0.0,1.0,1.0,1.0,177655.68,0.0 +542.0,France,Female,29.0,7.0,0.0,2.0,0.0,1.0,196651.72, +435.0,Germany,Male,32.0,2.0,57017.06,2.0,1.0,1.0,5907.11,0.0 +663.0,France,Female,27.0,9.0,0.0,2.0,1.0,0.0,150850.29, +569.0,Germany,Female,42.0,9.0,146100.75,1.0,1.0,0.0,32574.01, +628.0,Germany,Female,51.0,10.0,115280.49,2.0,0.0,0.0,12628.61, +706.0,France,Female,23.0,5.0,0.0,1.0,0.0,0.0,164128.41,0.0 +693.0,France,Male,68.0,4.0,97705.99,1.0,1.0,1.0,61569.07,0.0 +815.0,France,Male,35.0,4.0,0.0,2.0,0.0,1.0,198490.33, +673.0,Germany,Female,25.0,3.0,108244.82,2.0,1.0,1.0,103573.96, +518.0,France,Female,28.0,9.0,85146.36,1.0,0.0,0.0,2803.89, +624.0,Spain,Female,36.0,0.0,0.0,2.0,1.0,0.0,111605.9, +587.0,Germany,Male,35.0,5.0,121863.61,1.0,1.0,1.0,23481.69, +589.0,France,Female,46.0,10.0,107238.85,2.0,1.0,0.0,37024.28, +691.0,France,Female,29.0,9.0,116536.43,1.0,1.0,0.0,51987.99, +686.0,Germany,Female,39.0,4.0,157731.6,2.0,1.0,0.0,162820.6, +454.0,Germany,Female,50.0,10.0,92895.56,1.0,1.0,0.0,154344.0, +781.0,Spain,Female,29.0,6.0,98759.89,1.0,0.0,0.0,112202.64, +407.0,Spain,Male,37.0,1.0,0.0,1.0,1.0,1.0,49161.12, +470.0,France,Male,35.0,1.0,96473.59,1.0,0.0,0.0,5962.3, +651.0,Germany,Male,40.0,1.0,134760.21,2.0,0.0,0.0,174434.06, +632.0,Spain,Male,37.0,1.0,138207.08,1.0,1.0,0.0,60778.11, +622.0,Spain,Male,27.0,9.0,139834.93,1.0,1.0,1.0,152733.89, +518.0,Spain,Male,50.0,4.0,0.0,1.0,0.0,0.0,107112.25, +701.0,France,Female,42.0,6.0,86167.82,1.0,1.0,0.0,153342.38, +744.0,France,Male,54.0,6.0,93806.31,2.0,0.0,1.0,140068.77,0.0 +564.0,Germany,Female,30.0,0.0,100954.88,2.0,0.0,0.0,134175.15, +709.0,France,Male,49.0,4.0,154344.49,2.0,1.0,1.0,38794.57,1.0 +487.0,France,Female,34.0,2.0,96019.5,1.0,0.0,0.0,9085.0, +617.0,Spain,Female,36.0,7.0,115617.24,1.0,1.0,1.0,71519.4, +521.0,Spain,Female,22.0,10.0,0.0,1.0,1.0,1.0,101311.95, +654.0,France,Male,29.0,7.0,0.0,2.0,1.0,1.0,149184.15, +799.0,France,Female,63.0,1.0,110314.21,2.0,1.0,0.0,37464.0, +619.0,Spain,Female,38.0,6.0,0.0,2.0,1.0,1.0,117616.29, +668.0,Germany,Male,47.0,7.0,106854.21,1.0,0.0,1.0,157959.02,1.0 +496.0,France,Female,41.0,1.0,176024.05,2.0,1.0,0.0,182337.98, +637.0,Spain,Male,43.0,3.0,172196.23,1.0,1.0,1.0,104769.96, +850.0,France,Female,36.0,10.0,0.0,2.0,1.0,1.0,100750.03, +742.0,Germany,Female,21.0,1.0,114292.48,1.0,1.0,0.0,31520.4,1.0 +653.0,France,Female,42.0,1.0,0.0,2.0,1.0,1.0,5768.32, +601.0,Germany,Female,42.0,9.0,133636.16,1.0,0.0,1.0,103315.74,0.0 +778.0,Germany,Male,31.0,9.0,182275.23,2.0,1.0,0.0,190631.23, +847.0,France,Male,51.0,5.0,97565.74,1.0,0.0,0.0,144184.06, +850.0,France,Male,49.0,5.0,122486.47,1.0,0.0,1.0,59748.19, +535.0,France,Male,33.0,2.0,133040.32,1.0,1.0,1.0,110299.78,0.0 +731.0,France,Male,33.0,4.0,0.0,2.0,1.0,1.0,74945.11,0.0 +720.0,France,Male,33.0,2.0,0.0,2.0,0.0,1.0,141031.08, +552.0,France,Male,36.0,8.0,0.0,2.0,0.0,0.0,132547.02,0.0 +742.0,France,Male,39.0,8.0,140004.96,1.0,1.0,1.0,92985.78, +535.0,France,Female,49.0,3.0,0.0,1.0,0.0,0.0,61820.41, +617.0,Germany,Male,44.0,9.0,49157.09,2.0,1.0,0.0,53294.17, +548.0,Germany,Male,49.0,9.0,108437.89,1.0,0.0,0.0,127022.87, +697.0,Germany,Female,48.0,2.0,108128.96,2.0,1.0,1.0,103944.37, +661.0,Germany,Male,44.0,1.0,141136.62,1.0,1.0,0.0,189742.78, +577.0,Spain,Female,44.0,8.0,115557.0,1.0,0.0,1.0,127506.76, +695.0,Spain,Female,56.0,4.0,0.0,2.0,1.0,0.0,84644.76, +784.0,Germany,Male,28.0,2.0,70233.74,2.0,1.0,1.0,179252.73, +555.0,Spain,Male,50.0,7.0,128061.0,2.0,1.0,1.0,62375.1, +491.0,Germany,Male,26.0,4.0,102251.14,1.0,1.0,1.0,145900.89, +469.0,Germany,Female,52.0,8.0,139493.25,3.0,0.0,0.0,150093.32, +730.0,France,Female,39.0,1.0,99010.67,1.0,1.0,0.0,194945.8,0.0 +645.0,France,Male,39.0,8.0,0.0,2.0,0.0,0.0,96864.36, +622.0,Spain,Male,37.0,4.0,0.0,2.0,1.0,0.0,4459.5, +427.0,France,Male,33.0,8.0,0.0,1.0,1.0,1.0,13858.95, +557.0,Germany,Male,57.0,1.0,120043.13,1.0,1.0,0.0,132370.75, +626.0,France,Female,29.0,4.0,105767.28,2.0,0.0,0.0,41104.82, +505.0,Spain,Female,45.0,9.0,131355.3,3.0,1.0,0.0,195395.33, +585.0,France,Male,54.0,8.0,87105.32,1.0,1.0,1.0,55346.14, +714.0,France,Male,34.0,5.0,141173.03,1.0,0.0,1.0,98896.06, +806.0,France,Female,32.0,3.0,63763.49,1.0,1.0,0.0,156593.09,0.0 +668.0,Germany,Male,39.0,4.0,79896.0,1.0,1.0,0.0,38466.39, +698.0,France,Male,47.0,5.0,156265.31,2.0,0.0,0.0,1055.66, +465.0,France,Female,51.0,8.0,122522.32,1.0,0.0,0.0,181297.65,0.0 +639.0,Spain,Male,34.0,7.0,149940.04,2.0,0.0,0.0,156648.81, +608.0,Germany,Male,28.0,4.0,96679.71,1.0,1.0,1.0,49133.45, +664.0,France,Male,58.0,5.0,98668.18,1.0,1.0,1.0,60887.58,1.0 +594.0,France,Male,36.0,6.0,153880.15,1.0,0.0,0.0,135431.72, +703.0,France,Female,41.0,6.0,109941.51,1.0,1.0,0.0,116267.28, +604.0,Spain,Male,23.0,9.0,124577.33,1.0,1.0,1.0,7267.25,0.0 +697.0,France,Male,27.0,8.0,141223.68,2.0,1.0,0.0,90591.15,0.0 +733.0,France,Male,39.0,1.0,0.0,2.0,1.0,1.0,141841.31, +764.0,Germany,Female,39.0,9.0,138341.51,1.0,1.0,0.0,50072.94, +797.0,Spain,Female,31.0,8.0,0.0,2.0,1.0,0.0,117916.63,0.0 +722.0,Spain,Male,43.0,1.0,0.0,1.0,1.0,0.0,44560.17, +850.0,France,Male,35.0,3.0,162442.35,1.0,1.0,0.0,183566.78, +594.0,France,Male,61.0,3.0,62391.22,1.0,1.0,1.0,192434.11, +692.0,France,Female,36.0,3.0,79551.12,1.0,0.0,1.0,178267.07, +674.0,France,Female,21.0,9.0,120150.39,2.0,1.0,1.0,33964.03, +720.0,Germany,Female,57.0,1.0,162082.31,4.0,0.0,0.0,27145.73, +702.0,France,Female,29.0,10.0,88378.6,1.0,1.0,0.0,88550.28, +841.0,France,Male,27.0,8.0,0.0,1.0,1.0,0.0,171922.72, +815.0,Spain,Female,57.0,5.0,0.0,3.0,0.0,0.0,38941.44, +526.0,Germany,Male,58.0,9.0,190298.89,2.0,1.0,1.0,191263.76, +547.0,France,Male,62.0,10.0,127738.75,2.0,1.0,1.0,85153.0, +607.0,Germany,Male,36.0,10.0,106702.94,2.0,0.0,0.0,198313.69, +586.0,Germany,Male,37.0,8.0,167735.69,2.0,0.0,1.0,104665.79, +758.0,Germany,Male,41.0,10.0,79857.64,1.0,1.0,1.0,78088.17, +850.0,France,Male,31.0,4.0,0.0,2.0,0.0,0.0,152298.28, +700.0,Germany,Male,35.0,4.0,95853.39,2.0,1.0,0.0,192933.37, +606.0,Spain,Male,34.0,3.0,161572.24,1.0,0.0,1.0,191076.22, +662.0,Germany,Male,33.0,0.0,103471.52,1.0,1.0,1.0,162703.0,0.0 +675.0,France,Female,21.0,8.0,98373.26,1.0,1.0,0.0,18203.0,0.0 +653.0,France,Male,43.0,0.0,0.0,2.0,1.0,0.0,27862.58, +601.0,Spain,Female,41.0,3.0,0.0,2.0,1.0,0.0,54342.83, +592.0,Germany,Male,31.0,7.0,124593.23,1.0,1.0,0.0,86079.67, +627.0,France,Female,57.0,9.0,0.0,2.0,1.0,1.0,107712.42, +631.0,France,Male,32.0,10.0,0.0,2.0,0.0,1.0,196342.66, +744.0,Spain,Male,39.0,4.0,95161.75,1.0,1.0,0.0,19409.77, +548.0,France,Female,37.0,9.0,0.0,2.0,0.0,0.0,98029.58, +601.0,France,Female,43.0,8.0,0.0,3.0,0.0,1.0,110916.15,0.0 +422.0,Spain,Female,54.0,4.0,0.0,2.0,1.0,1.0,7166.71, +464.0,France,Female,33.0,10.0,147493.7,2.0,1.0,0.0,100447.53, +688.0,France,Female,38.0,7.0,123544.21,1.0,1.0,1.0,157664.02, +677.0,France,Male,36.0,4.0,0.0,2.0,1.0,0.0,7824.31, +690.0,France,Male,36.0,7.0,101583.11,2.0,1.0,0.0,123775.15,0.0 +524.0,Spain,Male,29.0,3.0,159035.45,1.0,1.0,0.0,2705.31, +630.0,France,Male,33.0,9.0,0.0,2.0,1.0,0.0,64804.59, +605.0,Germany,Male,19.0,8.0,166133.28,1.0,1.0,1.0,107994.99, +525.0,Spain,Male,36.0,3.0,77910.23,1.0,1.0,0.0,67238.01, +752.0,Germany,Female,37.0,5.0,113291.05,2.0,1.0,1.0,132467.54, +432.0,France,Female,27.0,6.0,62339.81,2.0,0.0,0.0,53874.67, +837.0,France,Female,38.0,2.0,0.0,2.0,1.0,1.0,46395.21, +644.0,Spain,Male,37.0,9.0,0.0,2.0,1.0,1.0,96442.86, +512.0,France,Male,36.0,0.0,129804.17,1.0,1.0,0.0,53020.9, +671.0,Germany,Male,51.0,3.0,96891.46,1.0,1.0,0.0,176403.33, +604.0,France,Male,30.0,5.0,0.0,2.0,1.0,0.0,75786.55, +556.0,Germany,Male,33.0,3.0,124213.36,2.0,1.0,0.0,62627.55, +648.0,Germany,Female,51.0,2.0,116574.84,1.0,1.0,0.0,4121.04, +539.0,France,Female,29.0,4.0,0.0,2.0,1.0,1.0,100919.19, +593.0,Germany,Female,32.0,9.0,134096.53,2.0,1.0,0.0,53931.05,0.0 +652.0,Spain,Female,40.0,7.0,100471.34,1.0,1.0,1.0,124550.88, +679.0,France,Female,44.0,3.0,118742.74,2.0,1.0,0.0,1568.91, +643.0,Germany,Male,28.0,9.0,160858.13,2.0,1.0,0.0,27149.27, +523.0,France,Female,26.0,4.0,0.0,2.0,1.0,0.0,185488.81, +665.0,France,Male,25.0,7.0,90920.75,1.0,0.0,1.0,112256.57, +737.0,France,Male,44.0,7.0,0.0,2.0,0.0,0.0,57898.58, +850.0,France,Female,36.0,0.0,164850.54,1.0,1.0,1.0,62722.44,0.0 +727.0,France,Male,62.0,5.0,0.0,2.0,0.0,1.0,38652.96, +779.0,France,Male,71.0,3.0,0.0,2.0,1.0,1.0,146895.36, +708.0,France,Male,52.0,10.0,105355.81,1.0,1.0,0.0,123.07, +771.0,Spain,Male,51.0,5.0,135506.58,3.0,1.0,1.0,152479.64, +682.0,Spain,Male,36.0,5.0,0.0,2.0,1.0,1.0,147758.51,0.0 +785.0,France,Female,39.0,1.0,130147.98,1.0,1.0,0.0,163798.41, +616.0,Spain,Male,31.0,7.0,76665.71,2.0,1.0,1.0,163809.08, +627.0,Germany,Male,27.0,0.0,185267.45,2.0,1.0,1.0,77027.34, +684.0,Germany,Female,40.0,6.0,137326.65,1.0,1.0,0.0,186976.6,0.0 +678.0,France,Male,40.0,1.0,0.0,2.0,1.0,1.0,187343.4, +773.0,France,Female,40.0,10.0,0.0,2.0,0.0,1.0,69303.15, +536.0,Germany,Male,23.0,6.0,92366.72,2.0,1.0,0.0,120661.71,0.0 +715.0,France,Female,38.0,0.0,0.0,2.0,1.0,1.0,332.81, +810.0,France,Male,33.0,6.0,0.0,2.0,1.0,1.0,77965.67, +655.0,France,Male,27.0,10.0,0.0,2.0,1.0,0.0,51620.94, +680.0,Spain,Female,31.0,9.0,119825.75,2.0,1.0,1.0,101139.3,1.0 +714.0,France,Male,40.0,9.0,46520.69,1.0,1.0,1.0,96687.25, +567.0,Germany,Male,29.0,5.0,129750.68,1.0,1.0,0.0,109257.59, +624.0,Spain,Male,38.0,7.0,123906.55,1.0,1.0,0.0,135096.78, +658.0,France,Male,29.0,3.0,145512.84,1.0,1.0,0.0,20207.02,0.0 +506.0,France,Female,57.0,6.0,0.0,2.0,0.0,1.0,194421.12, +683.0,France,Female,30.0,2.0,0.0,2.0,0.0,1.0,100496.84, +589.0,Germany,Male,38.0,8.0,92219.21,1.0,1.0,0.0,99106.97, +698.0,Spain,Male,45.0,5.0,164450.94,1.0,1.0,0.0,141970.02, +748.0,France,Male,66.0,8.0,0.0,1.0,1.0,1.0,163331.65, +796.0,Spain,Female,23.0,3.0,146584.19,2.0,0.0,0.0,125445.8, +616.0,Germany,Female,57.0,7.0,116936.81,1.0,1.0,1.0,104379.36, +556.0,France,Male,34.0,8.0,163757.06,1.0,1.0,1.0,104000.06, +545.0,Spain,Female,32.0,4.0,0.0,1.0,1.0,0.0,94739.2,0.0 +707.0,France,Female,55.0,1.0,0.0,2.0,0.0,1.0,54409.48, +730.0,France,Female,47.0,7.0,0.0,1.0,1.0,0.0,33373.26, +596.0,France,Male,37.0,2.0,0.0,1.0,0.0,1.0,121175.86, +688.0,Spain,Female,35.0,6.0,0.0,1.0,1.0,0.0,25488.43, +633.0,France,Male,59.0,5.0,0.0,1.0,1.0,1.0,137273.97, +768.0,Spain,Female,42.0,3.0,0.0,1.0,0.0,0.0,161242.99, +776.0,France,Male,37.0,2.0,0.0,1.0,0.0,1.0,8065.0,0.0 +668.0,France,Female,32.0,2.0,0.0,2.0,1.0,1.0,40652.33, +850.0,Spain,Male,38.0,2.0,94652.04,1.0,1.0,1.0,171960.76, +571.0,France,Female,33.0,9.0,0.0,2.0,0.0,1.0,77519.62, +732.0,France,Male,55.0,9.0,136576.02,1.0,0.0,1.0,3268.17, +553.0,Spain,Female,39.0,1.0,142876.98,2.0,1.0,0.0,44363.42, +622.0,France,Female,30.0,4.0,107879.04,1.0,0.0,1.0,196894.62, +636.0,Spain,Female,33.0,0.0,0.0,1.0,1.0,0.0,92277.47,0.0 +721.0,France,Male,40.0,9.0,118129.87,1.0,1.0,1.0,160277.65, +601.0,France,Male,74.0,2.0,0.0,2.0,0.0,1.0,51554.58, +674.0,Germany,Male,44.0,3.0,88902.21,1.0,1.0,0.0,73731.32, +750.0,Spain,Female,36.0,8.0,112940.07,1.0,0.0,1.0,9855.81,0.0 +451.0,Spain,Female,23.0,9.0,0.0,2.0,0.0,1.0,48021.71, +657.0,Germany,Male,30.0,1.0,139762.13,2.0,1.0,1.0,23317.88,0.0 +718.0,Germany,Male,28.0,4.0,65643.3,1.0,1.0,0.0,28760.99,0.0 +733.0,France,Male,42.0,9.0,120094.93,1.0,1.0,0.0,184056.45,1.0 +600.0,France,Female,49.0,6.0,0.0,1.0,0.0,1.0,148087.88, +719.0,Spain,Female,35.0,8.0,0.0,1.0,1.0,1.0,165162.4, +661.0,Spain,Female,42.0,9.0,75361.44,1.0,1.0,0.0,27608.12, +588.0,Germany,Male,33.0,9.0,150186.22,2.0,1.0,1.0,65611.01, +775.0,France,Male,60.0,7.0,0.0,2.0,1.0,1.0,111558.7, +713.0,France,Female,52.0,0.0,185891.54,1.0,1.0,1.0,46369.57,0.0 +755.0,France,Female,29.0,4.0,148654.84,2.0,1.0,1.0,28805.09, +627.0,Germany,Female,33.0,4.0,83199.05,1.0,0.0,0.0,159334.93, +781.0,Germany,Male,35.0,7.0,92526.15,2.0,1.0,1.0,173837.54, +504.0,France,Female,73.0,8.0,0.0,1.0,1.0,1.0,34595.58, +679.0,Spain,Female,28.0,9.0,0.0,2.0,0.0,1.0,61761.77, +743.0,France,Male,37.0,8.0,69143.91,2.0,0.0,1.0,105780.18, +529.0,Spain,Female,43.0,5.0,0.0,2.0,0.0,0.0,79476.63, +636.0,France,Female,39.0,3.0,118336.14,1.0,1.0,0.0,184691.77, +660.0,Spain,Female,33.0,1.0,0.0,2.0,0.0,0.0,117834.91,0.0 +648.0,Spain,Male,32.0,8.0,0.0,1.0,1.0,0.0,133653.38,0.0 +486.0,Germany,Female,40.0,9.0,71340.09,1.0,1.0,0.0,76192.21,0.0 +611.0,France,Female,26.0,2.0,107508.93,2.0,1.0,1.0,120801.65,0.0 +631.0,Germany,Female,32.0,2.0,146810.99,2.0,1.0,1.0,180990.29, +573.0,Spain,Male,44.0,9.0,0.0,2.0,1.0,0.0,107124.17, +548.0,France,Female,35.0,10.0,0.0,1.0,1.0,1.0,31299.71,0.0 +574.0,Germany,Male,54.0,1.0,99774.5,1.0,0.0,0.0,4896.11, +712.0,France,Female,29.0,3.0,87375.78,2.0,0.0,0.0,166194.53, +592.0,Spain,Female,40.0,2.0,200322.45,1.0,1.0,1.0,113244.73, +650.0,Germany,Female,55.0,2.0,140891.46,3.0,1.0,1.0,179834.45, +575.0,Germany,Male,47.0,9.0,107915.94,2.0,1.0,1.0,63452.18, +559.0,France,Male,49.0,2.0,147069.78,1.0,1.0,0.0,120540.83,0.0 +619.0,Spain,Male,34.0,1.0,0.0,1.0,1.0,0.0,139919.38, +775.0,Germany,Female,33.0,1.0,118897.1,2.0,1.0,1.0,26362.4, +792.0,France,Male,50.0,9.0,0.0,4.0,1.0,1.0,194700.81,0.0 +754.0,France,Male,37.0,6.0,0.0,1.0,1.0,1.0,116141.72, +576.0,France,Female,55.0,6.0,44582.07,3.0,0.0,1.0,67539.85, +589.0,France,Male,38.0,4.0,0.0,1.0,1.0,0.0,95483.48, +750.0,France,Female,47.0,7.0,121376.15,2.0,1.0,0.0,54473.6, +750.0,France,Male,43.0,6.0,113882.31,1.0,1.0,1.0,74564.41, +738.0,France,Male,29.0,2.0,0.0,2.0,1.0,1.0,170421.13, +692.0,Germany,Male,45.0,6.0,142084.04,4.0,1.0,0.0,188305.85, +548.0,Spain,Male,44.0,8.0,0.0,1.0,1.0,0.0,16989.77, +683.0,Germany,Female,32.0,0.0,138171.1,2.0,1.0,1.0,188203.58, +595.0,Germany,Male,30.0,9.0,130682.11,2.0,1.0,1.0,57862.88, +811.0,France,Female,45.0,5.0,0.0,2.0,1.0,1.0,146123.19, +642.0,France,Female,55.0,7.0,0.0,2.0,1.0,1.0,101515.76, +804.0,France,Male,24.0,3.0,0.0,2.0,1.0,0.0,173195.33,0.0 +596.0,France,Female,33.0,1.0,138162.81,1.0,1.0,0.0,85412.54, +796.0,Germany,Female,40.0,1.0,99745.95,1.0,1.0,0.0,177524.19, +477.0,Germany,Male,34.0,8.0,139959.55,2.0,1.0,1.0,189875.83, +686.0,France,Female,41.0,7.0,152105.57,2.0,0.0,1.0,132374.41, +571.0,France,Male,40.0,5.0,0.0,2.0,0.0,0.0,72849.29, +685.0,Spain,Female,42.0,2.0,0.0,2.0,0.0,0.0,199992.48, +681.0,France,Male,36.0,5.0,141952.07,1.0,1.0,1.0,185144.08, +750.0,France,Female,35.0,3.0,0.0,1.0,1.0,0.0,191520.5, +681.0,Germany,Female,44.0,3.0,105206.7,2.0,1.0,1.0,163558.36, +562.0,Spain,Male,36.0,5.0,0.0,1.0,0.0,1.0,182843.24, +584.0,Germany,Female,41.0,3.0,88594.93,1.0,1.0,0.0,178997.89, +730.0,Spain,Male,29.0,2.0,0.0,2.0,1.0,0.0,14174.09, +612.0,Germany,Male,46.0,9.0,161450.03,1.0,1.0,1.0,96961.0, +479.0,France,Female,26.0,1.0,0.0,2.0,1.0,1.0,19116.97, +521.0,France,Male,22.0,5.0,0.0,2.0,1.0,1.0,99828.45, +509.0,France,Female,46.0,1.0,0.0,1.0,1.0,0.0,71244.59,0.0 +687.0,Germany,Male,33.0,9.0,135962.4,2.0,1.0,0.0,121747.96, +663.0,Spain,Female,53.0,6.0,150200.23,1.0,0.0,1.0,151317.27, +782.0,France,Male,34.0,9.0,0.0,1.0,1.0,0.0,183021.06, +664.0,Spain,Female,53.0,7.0,187602.18,1.0,1.0,0.0,186392.99, +735.0,France,Male,44.0,9.0,120681.63,1.0,1.0,0.0,74836.34,0.0 +597.0,Spain,Male,26.0,5.0,0.0,2.0,0.0,1.0,95159.13, +690.0,Spain,Female,48.0,2.0,0.0,2.0,1.0,1.0,3149.1, +792.0,France,Female,42.0,2.0,0.0,2.0,1.0,0.0,92664.09, +670.0,France,Male,25.0,7.0,0.0,2.0,1.0,1.0,144723.38, +850.0,Germany,Male,42.0,6.0,84445.68,3.0,0.0,1.0,60021.34, +709.0,Spain,Male,23.0,10.0,0.0,2.0,0.0,0.0,129590.18,1.0 +769.0,France,Female,38.0,2.0,0.0,2.0,0.0,0.0,75578.67, +645.0,France,Female,45.0,8.0,85325.93,1.0,0.0,0.0,22558.74, +690.0,Spain,Male,36.0,10.0,0.0,2.0,1.0,0.0,55902.93, +647.0,Spain,Male,33.0,7.0,121260.19,2.0,1.0,0.0,77216.48, +577.0,Spain,Female,39.0,4.0,0.0,2.0,1.0,0.0,91366.42, +545.0,France,Female,55.0,5.0,0.0,1.0,0.0,0.0,10034.77, +643.0,France,Male,36.0,0.0,148159.71,1.0,0.0,0.0,55835.66, +708.0,Germany,Female,23.0,4.0,71433.08,1.0,1.0,0.0,103697.57, +712.0,France,Male,34.0,1.0,0.0,2.0,1.0,1.0,195052.12, +733.0,France,Male,48.0,5.0,0.0,1.0,0.0,1.0,117830.57, +531.0,Germany,Female,42.0,6.0,88324.31,2.0,1.0,0.0,75248.75,0.0 +614.0,Spain,Female,37.0,9.0,0.0,2.0,1.0,1.0,62023.1, +585.0,Germany,Male,37.0,6.0,152496.82,1.0,1.0,1.0,99907.29, +539.0,France,Male,20.0,0.0,83459.86,1.0,1.0,1.0,146752.67, +666.0,France,Female,40.0,2.0,0.0,2.0,0.0,0.0,36371.27, +757.0,France,Male,38.0,0.0,0.0,1.0,1.0,0.0,83263.06, +579.0,Germany,Male,40.0,10.0,45408.85,2.0,1.0,0.0,18732.91, +825.0,France,Male,29.0,3.0,148874.01,2.0,0.0,1.0,71192.82, +680.0,Germany,Male,34.0,6.0,146422.22,1.0,1.0,0.0,67142.97, +811.0,Germany,Female,28.0,4.0,167738.82,2.0,1.0,1.0,9903.42,1.0 +751.0,Germany,Female,28.0,10.0,132932.14,2.0,1.0,1.0,46630.47, +567.0,Spain,Female,41.0,1.0,0.0,2.0,1.0,0.0,3414.72, +629.0,Spain,Male,29.0,6.0,0.0,2.0,1.0,1.0,88842.8, +645.0,Germany,Female,31.0,1.0,128927.93,1.0,1.0,1.0,2850.01, +749.0,Spain,Female,43.0,1.0,124209.02,1.0,1.0,1.0,167179.48, +733.0,Germany,Male,40.0,5.0,125725.02,2.0,1.0,1.0,50783.1, +649.0,Spain,Male,51.0,4.0,0.0,1.0,1.0,1.0,150390.57, +545.0,France,Female,26.0,1.0,0.0,2.0,1.0,1.0,199638.56,0.0 +699.0,France,Male,27.0,1.0,0.0,2.0,1.0,0.0,93003.21, +688.0,Spain,Male,32.0,6.0,124179.3,1.0,1.0,1.0,138759.15, +600.0,France,Female,37.0,4.0,0.0,3.0,1.0,0.0,7312.25, +510.0,France,Female,22.0,3.0,156834.34,1.0,0.0,0.0,44374.44, +521.0,France,Male,37.0,2.0,0.0,2.0,1.0,1.0,86372.24,0.0 +667.0,France,Male,27.0,7.0,156811.74,1.0,1.0,1.0,149402.59, +666.0,France,Male,30.0,7.0,109805.3,1.0,0.0,1.0,163625.56, +520.0,Spain,Female,63.0,5.0,162278.32,1.0,1.0,1.0,34765.33,0.0 +636.0,Spain,Female,32.0,8.0,0.0,2.0,1.0,0.0,138555.46,0.0 +835.0,France,Male,25.0,7.0,0.0,2.0,1.0,1.0,83449.65, +786.0,Germany,Female,32.0,2.0,104336.43,2.0,0.0,0.0,59559.81, +651.0,Germany,Female,25.0,2.0,109175.14,2.0,1.0,0.0,114566.47, +608.0,Germany,Female,40.0,8.0,121729.42,1.0,0.0,0.0,61164.45, +525.0,France,Female,23.0,5.0,0.0,2.0,1.0,0.0,160249.1,0.0 +496.0,France,Male,32.0,4.0,127845.83,1.0,1.0,0.0,66469.2, +694.0,France,Female,31.0,10.0,0.0,2.0,1.0,0.0,160990.27,0.0 +563.0,Spain,Male,57.0,6.0,0.0,2.0,1.0,1.0,39297.48, +639.0,Germany,Female,37.0,5.0,151242.48,1.0,0.0,1.0,49637.65, +774.0,France,Male,53.0,4.0,113709.28,1.0,1.0,1.0,153887.93, +574.0,Spain,Male,34.0,5.0,0.0,2.0,0.0,0.0,28269.86, +773.0,Spain,Male,43.0,7.0,138150.57,1.0,1.0,1.0,177357.16, +716.0,Germany,Male,66.0,5.0,121411.9,1.0,0.0,0.0,10070.4, +684.0,France,Female,43.0,7.0,0.0,2.0,1.0,0.0,131093.99, +795.0,Spain,Female,56.0,5.0,0.0,1.0,1.0,0.0,35418.69, +693.0,Germany,Male,46.0,2.0,104763.41,1.0,1.0,1.0,62368.33, +555.0,Germany,Male,48.0,3.0,142055.41,2.0,0.0,1.0,79134.78, +673.0,France,Female,43.0,5.0,168069.73,1.0,1.0,1.0,146992.24,0.0 +615.0,France,Male,59.0,8.0,0.0,2.0,1.0,1.0,165576.55, +662.0,Spain,Female,35.0,6.0,0.0,2.0,0.0,0.0,2423.9, +706.0,Germany,Male,38.0,5.0,163034.82,2.0,1.0,1.0,135662.17, +650.0,Spain,Male,41.0,3.0,128808.65,3.0,0.0,0.0,113677.53, +652.0,France,Female,74.0,5.0,0.0,2.0,1.0,1.0,937.15, +639.0,France,Male,38.0,3.0,0.0,1.0,1.0,0.0,42862.82, +849.0,France,Male,69.0,7.0,71996.09,1.0,1.0,1.0,139065.94, +604.0,Spain,Female,39.0,7.0,98544.11,1.0,1.0,1.0,52327.57, +692.0,France,Male,33.0,9.0,0.0,1.0,1.0,0.0,113505.93, +790.0,Germany,Male,24.0,7.0,107418.27,1.0,0.0,1.0,160450.21,0.0 +625.0,France,Female,37.0,7.0,115895.42,1.0,1.0,0.0,48486.25, +493.0,France,Female,33.0,8.0,90791.69,1.0,1.0,1.0,59659.53, +590.0,Spain,Male,29.0,10.0,0.0,1.0,1.0,1.0,51907.72, +699.0,Germany,Female,41.0,1.0,200117.76,2.0,1.0,0.0,94142.35, +850.0,France,Female,37.0,3.0,212778.2,1.0,0.0,1.0,69372.88,0.0 +645.0,France,Male,42.0,4.0,98298.18,1.0,1.0,1.0,676.06, +547.0,Spain,Female,44.0,5.0,0.0,3.0,0.0,0.0,5459.07, +475.0,France,Male,39.0,6.0,0.0,1.0,1.0,1.0,56999.9,0.0 +594.0,Germany,Male,28.0,5.0,185013.02,1.0,1.0,0.0,16481.12, +677.0,France,Female,72.0,8.0,0.0,2.0,1.0,1.0,153604.44, +665.0,France,Female,44.0,7.0,0.0,2.0,1.0,1.0,66548.58, +509.0,Germany,Female,29.0,0.0,107712.57,2.0,1.0,1.0,92898.17, +553.0,France,Female,27.0,3.0,0.0,2.0,0.0,0.0,159800.16, +505.0,Germany,Male,29.0,3.0,145541.56,2.0,1.0,1.0,58019.95,1.0 +705.0,Germany,Female,56.0,2.0,143249.67,1.0,1.0,0.0,88428.41, +638.0,Spain,Male,35.0,1.0,0.0,2.0,1.0,0.0,165370.66, +801.0,France,Male,42.0,6.0,0.0,2.0,1.0,1.0,95804.33, +615.0,France,Male,66.0,7.0,0.0,2.0,1.0,1.0,74580.8, +807.0,France,Female,47.0,9.0,167664.83,1.0,0.0,0.0,125440.11, +608.0,Spain,Female,63.0,3.0,139529.93,2.0,1.0,1.0,175696.16, +850.0,Germany,Male,31.0,4.0,146587.3,1.0,1.0,1.0,89874.82, +571.0,France,Female,47.0,7.0,0.0,2.0,0.0,0.0,112366.98, +625.0,France,Male,45.0,7.0,137555.44,1.0,0.0,0.0,124607.7, +688.0,Spain,Female,46.0,8.0,155681.72,1.0,1.0,0.0,26287.21, +516.0,France,Male,27.0,9.0,0.0,1.0,1.0,0.0,142680.64, +654.0,Germany,Male,43.0,9.0,84673.17,2.0,0.0,1.0,82081.35, +769.0,France,Female,27.0,2.0,0.0,1.0,1.0,1.0,57876.05,0.0 +611.0,France,Male,38.0,7.0,0.0,1.0,1.0,1.0,63202.0, +694.0,Germany,Male,37.0,1.0,95668.82,2.0,1.0,0.0,100335.55, +610.0,France,Female,35.0,7.0,81905.95,1.0,1.0,1.0,61623.19, +712.0,France,Male,36.0,2.0,100749.5,3.0,0.0,0.0,70758.37,1.0 +719.0,Spain,Female,33.0,7.0,0.0,2.0,1.0,0.0,20016.59, +771.0,France,Female,57.0,4.0,0.0,1.0,0.0,0.0,85876.67, +794.0,Germany,Female,55.0,6.0,115796.7,1.0,1.0,0.0,160526.36, +579.0,France,Female,45.0,2.0,0.0,2.0,0.0,0.0,11514.39, +572.0,France,Male,37.0,1.0,133043.66,1.0,0.0,0.0,111243.09, +543.0,France,Female,71.0,1.0,104308.77,1.0,1.0,1.0,25650.04, +520.0,Germany,Male,32.0,5.0,110029.77,1.0,1.0,0.0,56246.69,1.0 +668.0,Germany,Male,34.0,5.0,80242.37,2.0,0.0,0.0,56780.97, +645.0,France,Male,44.0,10.0,0.0,2.0,0.0,1.0,166707.22, +684.0,Germany,Female,26.0,2.0,114035.39,1.0,0.0,0.0,96885.19, +670.0,Germany,Female,42.0,5.0,49508.79,3.0,1.0,1.0,100324.01, +687.0,France,Female,24.0,3.0,110495.27,1.0,1.0,0.0,158615.41, +764.0,France,Female,40.0,9.0,100480.53,1.0,1.0,0.0,124095.69, +669.0,France,Female,35.0,7.0,0.0,1.0,1.0,1.0,49108.23,0.0 +636.0,France,Male,31.0,6.0,0.0,2.0,1.0,1.0,2382.61, +689.0,Germany,Male,26.0,4.0,120727.97,1.0,0.0,1.0,149073.88, +825.0,France,Female,36.0,3.0,146053.66,1.0,1.0,1.0,138344.7, +710.0,Germany,Male,34.0,8.0,147833.3,2.0,0.0,1.0,1561.58, +529.0,France,Female,31.0,7.0,0.0,2.0,1.0,1.0,175697.87, +662.0,Germany,Male,39.0,5.0,139822.11,2.0,1.0,1.0,146219.9, +593.0,France,Female,39.0,0.0,117704.73,1.0,1.0,0.0,197933.5, +621.0,Spain,Female,40.0,7.0,0.0,2.0,0.0,1.0,131283.6, +542.0,France,Female,39.0,4.0,109949.39,2.0,1.0,1.0,41268.65, +655.0,France,Female,41.0,5.0,0.0,1.0,0.0,0.0,36548.0, +694.0,France,Male,30.0,10.0,144684.03,1.0,1.0,1.0,31805.49, +672.0,Spain,Male,43.0,5.0,0.0,2.0,1.0,1.0,64515.5, +624.0,Spain,Male,46.0,3.0,0.0,2.0,1.0,1.0,62825.03,0.0 +766.0,Spain,Male,41.0,0.0,0.0,2.0,0.0,1.0,34283.23,0.0 +633.0,France,Male,29.0,7.0,0.0,1.0,1.0,1.0,130224.73, +611.0,France,Male,40.0,1.0,0.0,2.0,1.0,1.0,102547.56,0.0 +746.0,Germany,Female,33.0,2.0,107868.14,2.0,1.0,1.0,146192.4, +721.0,Spain,Female,33.0,4.0,72535.45,1.0,1.0,1.0,103931.49, +748.0,France,Female,49.0,7.0,29602.08,1.0,0.0,0.0,163550.58, +633.0,France,Female,30.0,6.0,0.0,2.0,0.0,0.0,41642.29,0.0 +831.0,Germany,Male,32.0,9.0,80262.66,1.0,1.0,0.0,194867.78, +629.0,France,Female,31.0,6.0,0.0,1.0,1.0,1.0,16447.6, +795.0,Germany,Female,56.0,9.0,94348.94,1.0,1.0,0.0,29239.29, +649.0,France,Female,42.0,7.0,0.0,2.0,0.0,1.0,22974.01, +539.0,France,Female,22.0,0.0,100885.93,2.0,1.0,1.0,38772.65, +713.0,France,Male,44.0,1.0,63438.91,1.0,1.0,0.0,64375.4, +774.0,France,Female,47.0,6.0,94722.88,1.0,0.0,1.0,61450.96, +662.0,France,Female,37.0,6.0,0.0,2.0,1.0,0.0,51229.17, +751.0,Spain,Male,38.0,7.0,0.0,2.0,0.0,0.0,90839.61, +578.0,France,Female,40.0,7.0,0.0,2.0,0.0,0.0,102233.73, +662.0,France,Male,44.0,8.0,0.0,2.0,1.0,1.0,175314.87, +682.0,Germany,Female,38.0,1.0,116520.28,1.0,1.0,1.0,49833.5, +577.0,Spain,Male,31.0,6.0,0.0,1.0,1.0,1.0,196395.25, +634.0,Germany,Female,53.0,3.0,113781.5,2.0,1.0,1.0,106345.05, +651.0,Spain,Female,36.0,8.0,0.0,2.0,1.0,0.0,91652.43, +724.0,Germany,Male,33.0,4.0,88046.88,1.0,0.0,1.0,186942.49, +597.0,Spain,Female,46.0,4.0,0.0,2.0,1.0,0.0,58667.16, +678.0,Germany,Male,36.0,3.0,145747.67,2.0,0.0,1.0,89566.74,1.0 +495.0,France,Female,38.0,2.0,63093.01,1.0,1.0,1.0,47089.72, +625.0,Germany,Female,37.0,4.0,142711.81,1.0,1.0,0.0,35625.41, +727.0,Germany,Male,59.0,5.0,152581.06,1.0,1.0,0.0,71830.1, +763.0,France,Female,38.0,0.0,152582.2,2.0,0.0,0.0,31892.82, +794.0,Spain,Male,33.0,8.0,0.0,2.0,0.0,0.0,91340.02, +746.0,France,Male,47.0,8.0,142382.03,1.0,1.0,1.0,62086.62, +626.0,France,Male,33.0,8.0,0.0,2.0,1.0,0.0,138504.28, +605.0,France,Female,36.0,6.0,0.0,1.0,0.0,1.0,690.84, +628.0,France,Male,33.0,6.0,0.0,2.0,0.0,0.0,184230.23,0.0 +638.0,France,Male,46.0,9.0,139859.54,1.0,1.0,0.0,38967.29, +741.0,France,Female,21.0,9.0,0.0,2.0,0.0,1.0,139259.54, +580.0,France,Female,39.0,9.0,128362.59,1.0,1.0,0.0,86044.98, +693.0,France,Female,35.0,5.0,124151.09,1.0,1.0,0.0,88705.14,0.0 +710.0,Germany,Male,37.0,6.0,135795.63,1.0,0.0,1.0,46523.6, +696.0,France,Male,22.0,9.0,149777.0,1.0,1.0,1.0,198032.93, +437.0,France,Female,39.0,0.0,102721.49,1.0,0.0,0.0,22191.82, +679.0,Spain,Female,26.0,3.0,76554.06,1.0,1.0,1.0,184800.27, +652.0,France,Male,27.0,10.0,107303.72,2.0,0.0,0.0,44435.76, +652.0,Spain,Male,71.0,4.0,0.0,1.0,1.0,1.0,120107.1,0.0 +756.0,France,Male,34.0,1.0,103133.26,1.0,1.0,1.0,90059.04, +652.0,Germany,Male,36.0,9.0,150956.71,1.0,0.0,0.0,72350.17, +646.0,France,Female,34.0,3.0,131283.11,1.0,0.0,0.0,130500.65, +850.0,Spain,Female,41.0,3.0,99945.93,2.0,1.0,0.0,71179.31, +590.0,France,Male,43.0,8.0,0.0,2.0,1.0,1.0,143628.31, +850.0,Germany,Male,43.0,0.0,108508.82,3.0,1.0,0.0,184044.8, +482.0,France,Male,38.0,4.0,124976.19,1.0,1.0,0.0,35848.12, +713.0,Spain,Female,48.0,1.0,163760.82,1.0,0.0,0.0,157381.14, +641.0,Germany,Male,32.0,5.0,122947.92,1.0,1.0,1.0,99154.86, +601.0,France,Female,41.0,1.0,0.0,2.0,0.0,1.0,160607.06,0.0 +592.0,Spain,Male,45.0,8.0,84692.5,1.0,0.0,1.0,67214.02, +744.0,France,Female,43.0,10.0,147832.15,1.0,0.0,1.0,24234.11,0.0 +628.0,Germany,Male,33.0,8.0,152143.89,1.0,1.0,1.0,32174.03, +634.0,Spain,Female,36.0,1.0,0.0,1.0,1.0,1.0,143960.72, +708.0,France,Male,34.0,3.0,0.0,1.0,0.0,1.0,121457.88, +738.0,Spain,Female,37.0,8.0,100565.94,1.0,1.0,1.0,128799.86, +643.0,France,Female,31.0,3.0,167949.48,1.0,1.0,0.0,143162.34, +848.0,Spain,Male,22.0,7.0,120811.89,1.0,1.0,1.0,185510.34, +636.0,Spain,Male,37.0,1.0,115137.26,1.0,1.0,0.0,52484.01, +671.0,Spain,Male,32.0,6.0,123912.78,2.0,1.0,1.0,146636.44, +707.0,France,Female,49.0,10.0,0.0,1.0,1.0,0.0,82967.97, +645.0,France,Male,41.0,7.0,0.0,1.0,0.0,1.0,28667.56,1.0 +709.0,Germany,Male,23.0,8.0,73314.04,2.0,1.0,0.0,63446.47, +754.0,France,Male,39.0,3.0,74896.33,1.0,0.0,0.0,34430.16, +678.0,France,Female,50.0,6.0,0.0,1.0,1.0,0.0,8199.5, +789.0,France,Male,31.0,4.0,175477.15,1.0,1.0,1.0,172832.9, +681.0,France,Male,47.0,9.0,97023.21,1.0,1.0,1.0,2168.13, +793.0,Spain,Male,25.0,3.0,100913.57,1.0,0.0,0.0,10579.72, +451.0,France,Female,36.0,2.0,0.0,2.0,1.0,1.0,180142.42, +659.0,France,Male,36.0,6.0,123841.49,2.0,1.0,0.0,96833.0, +597.0,France,Male,19.0,2.0,0.0,2.0,1.0,1.0,91036.74, +638.0,France,Female,34.0,7.0,0.0,2.0,1.0,1.0,198969.78, +632.0,Spain,Female,39.0,5.0,97854.37,2.0,1.0,0.0,93536.38,0.0 +850.0,Germany,Male,43.0,5.0,129305.09,2.0,0.0,1.0,19244.58, +589.0,France,Female,39.0,7.0,0.0,2.0,0.0,0.0,95985.64, +607.0,France,Male,31.0,8.0,0.0,2.0,1.0,1.0,43196.5, +498.0,Spain,Male,29.0,8.0,127864.26,1.0,1.0,1.0,46677.9, +751.0,France,Male,29.0,10.0,147737.63,1.0,0.0,1.0,94951.27, +684.0,Spain,Male,40.0,2.0,70291.02,1.0,1.0,1.0,115468.84, +538.0,France,Female,62.0,3.0,75051.49,1.0,0.0,0.0,17682.02, +670.0,France,Male,36.0,3.0,0.0,1.0,1.0,0.0,140754.19, +606.0,Spain,Female,46.0,8.0,0.0,2.0,1.0,1.0,183717.94,1.0 +744.0,France,Male,29.0,1.0,43504.42,1.0,1.0,1.0,119327.75, +732.0,Germany,Male,42.0,9.0,108748.08,2.0,1.0,1.0,65323.11,0.0 +641.0,France,Male,65.0,6.0,38340.02,1.0,1.0,0.0,32607.77, +541.0,Germany,Female,39.0,9.0,100116.67,1.0,1.0,1.0,199808.1, +650.0,Spain,Female,23.0,5.0,0.0,1.0,1.0,1.0,180622.43, +737.0,Germany,Male,35.0,0.0,133377.8,1.0,0.0,1.0,64050.19,0.0 +767.0,Spain,Male,37.0,7.0,0.0,2.0,1.0,1.0,24734.25, +645.0,France,Female,68.0,9.0,0.0,4.0,1.0,1.0,176353.87, +558.0,France,Male,32.0,10.0,105000.23,1.0,1.0,0.0,190019.61, +653.0,Spain,Male,35.0,9.0,0.0,2.0,1.0,1.0,45956.05, +622.0,Spain,Female,36.0,0.0,108960.0,2.0,1.0,0.0,111180.3, +712.0,France,Male,24.0,2.0,0.0,1.0,0.0,1.0,121232.51, +587.0,Germany,Female,49.0,7.0,155393.98,2.0,1.0,0.0,13308.2, +788.0,France,Male,32.0,4.0,112079.58,1.0,0.0,0.0,89368.59, +438.0,Germany,Male,31.0,8.0,78398.69,1.0,1.0,0.0,44937.01,0.0 +484.0,Spain,Female,35.0,7.0,133868.21,1.0,1.0,1.0,27286.1,0.0 +567.0,Germany,Male,41.0,0.0,134378.89,1.0,1.0,1.0,105746.94, +590.0,France,Male,41.0,1.0,89086.31,1.0,1.0,0.0,24499.97, +567.0,Spain,Male,43.0,2.0,115643.58,2.0,0.0,0.0,174606.35, +719.0,France,Male,36.0,3.0,155423.17,1.0,1.0,1.0,199841.32, +594.0,France,Male,38.0,4.0,0.0,2.0,0.0,0.0,186884.04,1.0 +819.0,France,Male,35.0,1.0,0.0,2.0,0.0,1.0,3385.04, +542.0,Germany,Female,35.0,9.0,127543.11,2.0,1.0,0.0,468.94, +614.0,France,Male,38.0,2.0,116248.88,1.0,1.0,0.0,105140.92, +691.0,Germany,Female,38.0,5.0,114753.76,1.0,1.0,0.0,107665.02, +595.0,Spain,Male,35.0,8.0,0.0,1.0,1.0,0.0,100015.79,0.0 +529.0,Spain,Female,39.0,2.0,82766.43,1.0,1.0,1.0,122925.44, +453.0,Germany,Female,38.0,8.0,120623.21,1.0,1.0,0.0,129697.99, +506.0,France,Female,34.0,4.0,90307.62,1.0,1.0,1.0,159235.29,1.0 +521.0,France,Female,77.0,6.0,0.0,2.0,1.0,1.0,49054.1, +535.0,Spain,Female,30.0,5.0,122924.75,1.0,0.0,0.0,62390.59, +454.0,Spain,Female,48.0,5.0,144837.79,1.0,1.0,1.0,93151.77, +629.0,France,Male,44.0,5.0,0.0,4.0,0.0,0.0,117572.59, +457.0,Spain,Male,44.0,7.0,0.0,2.0,0.0,0.0,185992.36, +776.0,France,Female,38.0,2.0,169824.46,1.0,1.0,0.0,169291.7,0.0 +697.0,Spain,Male,62.0,7.0,0.0,1.0,1.0,0.0,129188.18, +850.0,France,Female,34.0,2.0,0.0,2.0,0.0,0.0,51919.04, +543.0,Germany,Male,49.0,6.0,59532.18,1.0,1.0,0.0,104253.56, +691.0,France,Male,41.0,2.0,0.0,1.0,1.0,1.0,56850.92, +513.0,France,Male,35.0,8.0,0.0,1.0,1.0,0.0,76640.29,0.0 +772.0,France,Male,23.0,2.0,0.0,2.0,1.0,0.0,18364.19, +475.0,France,Male,40.0,7.0,160818.08,1.0,0.0,1.0,169642.13, +570.0,Germany,Male,29.0,4.0,122028.65,2.0,1.0,1.0,173792.77, +613.0,France,Female,27.0,5.0,125167.74,1.0,1.0,0.0,199104.52, +484.0,France,Female,29.0,4.0,130114.39,1.0,1.0,0.0,164017.89,0.0 +846.0,France,Female,41.0,5.0,0.0,3.0,1.0,0.0,3440.47,0.0 +684.0,France,Male,27.0,2.0,134603.88,1.0,1.0,1.0,71725.73,0.0 +456.0,Germany,Male,32.0,9.0,133060.63,1.0,1.0,1.0,125167.92, +631.0,France,Female,34.0,4.0,124379.14,1.0,1.0,0.0,106892.91,0.0 +697.0,Germany,Male,51.0,1.0,147910.3,1.0,1.0,1.0,53581.14, +701.0,France,Male,33.0,9.0,147510.34,1.0,1.0,0.0,190611.92, +615.0,Spain,Male,19.0,5.0,0.0,2.0,1.0,0.0,159920.92, +529.0,France,Male,30.0,2.0,116295.29,1.0,1.0,0.0,75285.47,0.0 +705.0,Spain,Male,39.0,6.0,133261.13,1.0,1.0,1.0,78065.9,0.0 +520.0,Spain,Female,35.0,4.0,115680.81,1.0,1.0,1.0,90280.7, +692.0,France,Male,27.0,1.0,125547.53,1.0,0.0,0.0,7900.46, +760.0,France,Female,51.0,2.0,100946.71,1.0,0.0,0.0,179614.8,0.0 +646.0,France,Female,43.0,8.0,143061.88,1.0,1.0,0.0,61937.6, +689.0,Spain,Female,28.0,5.0,95328.6,1.0,1.0,0.0,6129.61, +697.0,France,Female,47.0,6.0,128252.66,1.0,1.0,1.0,168053.4,0.0 +483.0,France,Female,30.0,9.0,0.0,2.0,0.0,0.0,136356.97, +622.0,France,Male,31.0,7.0,0.0,1.0,1.0,0.0,35408.77, +580.0,Germany,Male,38.0,9.0,115442.19,2.0,1.0,0.0,128481.5, +685.0,Spain,Male,23.0,5.0,164902.43,1.0,0.0,0.0,141152.28, +641.0,Germany,Male,41.0,7.0,104405.54,3.0,1.0,0.0,17384.21, +509.0,France,Male,18.0,7.0,102983.91,1.0,1.0,0.0,171770.58, +695.0,Spain,Female,31.0,8.0,0.0,2.0,0.0,1.0,131644.41, +775.0,Spain,Male,30.0,4.0,0.0,2.0,0.0,1.0,57461.13,0.0 +747.0,Germany,Female,32.0,5.0,67495.04,2.0,0.0,1.0,77370.37,0.0 +443.0,France,Male,44.0,2.0,0.0,1.0,1.0,0.0,159165.7, +769.0,France,Male,31.0,4.0,61297.05,2.0,1.0,1.0,7118.02, +669.0,Germany,Male,45.0,1.0,123949.75,1.0,0.0,0.0,110881.56, +636.0,France,Female,35.0,2.0,0.0,2.0,1.0,1.0,23129.46, +569.0,France,Male,37.0,9.0,178755.84,1.0,1.0,0.0,199929.17, +614.0,Germany,Female,37.0,6.0,96340.81,2.0,1.0,1.0,139377.24, +714.0,Spain,Male,25.0,2.0,0.0,1.0,1.0,1.0,132979.43, +806.0,France,Male,48.0,4.0,164701.68,1.0,1.0,1.0,21439.49,1.0 +621.0,Spain,Male,50.0,3.0,163085.79,1.0,0.0,1.0,131048.36, +630.0,France,Male,31.0,0.0,0.0,2.0,1.0,1.0,34475.14, +623.0,Spain,Female,40.0,7.0,0.0,1.0,1.0,1.0,25904.12, +547.0,France,Female,32.0,2.0,0.0,2.0,1.0,0.0,132002.83, +729.0,France,Male,67.0,2.0,94203.8,1.0,0.0,1.0,102391.06, +693.0,France,Male,21.0,1.0,0.0,2.0,1.0,1.0,3494.02, +648.0,Spain,Female,27.0,7.0,0.0,2.0,1.0,1.0,163060.43, +684.0,Germany,Male,37.0,1.0,126817.13,2.0,1.0,1.0,29995.83, +641.0,Spain,Female,36.0,1.0,0.0,2.0,1.0,0.0,102021.39, +701.0,Germany,Female,48.0,1.0,92072.68,1.0,1.0,1.0,133992.36,0.0 +683.0,France,Male,39.0,4.0,0.0,2.0,1.0,0.0,171716.81, +638.0,Germany,Male,27.0,4.0,135096.05,1.0,1.0,1.0,186523.72, +652.0,Spain,Female,42.0,4.0,0.0,2.0,1.0,1.0,38152.01,0.0 +614.0,France,Male,50.0,4.0,137104.47,1.0,1.0,0.0,127166.49,1.0 +557.0,France,Female,32.0,3.0,123502.53,1.0,1.0,1.0,69826.8, +678.0,Spain,Male,30.0,0.0,0.0,1.0,1.0,0.0,35113.08,0.0 +649.0,Germany,Male,70.0,9.0,116854.71,2.0,0.0,1.0,107125.79,1.0 +605.0,France,Female,30.0,9.0,135422.31,1.0,0.0,1.0,186418.85, +769.0,Germany,Male,60.0,9.0,148846.39,1.0,1.0,0.0,192831.67, +662.0,Spain,Male,37.0,5.0,94901.09,1.0,1.0,1.0,48233.75, +768.0,France,Male,42.0,5.0,0.0,3.0,0.0,0.0,60686.4, +576.0,Germany,Male,30.0,7.0,132174.41,2.0,0.0,0.0,93767.03, +746.0,France,Female,37.0,4.0,0.0,2.0,0.0,1.0,171039.56, +683.0,France,Female,32.0,9.0,0.0,2.0,1.0,1.0,24991.92, +786.0,France,Male,34.0,3.0,137361.96,1.0,0.0,0.0,183682.09, +544.0,France,Female,32.0,9.0,110728.39,1.0,1.0,1.0,14559.62, +659.0,Spain,Male,31.0,7.0,149620.88,2.0,1.0,1.0,104533.51,0.0 +667.0,Germany,Male,70.0,3.0,77356.92,2.0,1.0,1.0,20881.96, +850.0,France,Male,35.0,2.0,0.0,2.0,1.0,1.0,56991.66, +807.0,France,Male,35.0,3.0,174790.15,1.0,1.0,1.0,600.36,0.0 +809.0,Spain,Female,48.0,2.0,0.0,1.0,1.0,0.0,160976.85, +660.0,Germany,Male,31.0,9.0,125189.75,2.0,1.0,1.0,139874.43,0.0 +510.0,France,Female,52.0,6.0,191665.21,1.0,1.0,1.0,131312.56, +820.0,Spain,Male,34.0,10.0,97208.46,1.0,1.0,1.0,59553.34, +622.0,Spain,Female,23.0,8.0,0.0,2.0,1.0,1.0,131389.39, +540.0,France,Male,48.0,2.0,109349.29,1.0,1.0,0.0,88703.04, +748.0,Spain,Male,58.0,9.0,122330.7,2.0,0.0,1.0,124429.19, +698.0,France,Female,37.0,2.0,166178.02,2.0,1.0,1.0,71972.95, +572.0,France,Male,24.0,1.0,0.0,2.0,1.0,1.0,151460.84, +604.0,Spain,Female,28.0,6.0,0.0,2.0,1.0,1.0,69056.26, +658.0,France,Male,31.0,5.0,100082.14,1.0,0.0,1.0,49809.88, +629.0,France,Female,49.0,4.0,0.0,2.0,1.0,1.0,196335.48,0.0 +615.0,France,Male,49.0,3.0,0.0,2.0,1.0,1.0,49872.33,0.0 +571.0,Germany,Male,33.0,3.0,71843.15,1.0,1.0,0.0,26772.04, +679.0,Germany,Male,38.0,7.0,110555.37,2.0,1.0,0.0,46522.68,0.0 +736.0,France,Male,43.0,4.0,202443.47,1.0,1.0,0.0,72375.03, +586.0,France,Female,38.0,2.0,0.0,2.0,1.0,0.0,87168.46,0.0 +693.0,France,Female,30.0,6.0,127992.25,1.0,1.0,1.0,50457.2,0.0 +563.0,Spain,Female,42.0,6.0,99056.22,2.0,1.0,0.0,154347.95, +599.0,France,Female,41.0,1.0,0.0,2.0,1.0,0.0,96069.82, +492.0,Germany,Male,45.0,9.0,170295.04,2.0,0.0,0.0,164741.81, +717.0,France,Male,35.0,4.0,0.0,1.0,1.0,1.0,167573.06, +817.0,Germany,Male,45.0,9.0,101207.75,1.0,0.0,0.0,88211.12, +850.0,Spain,Male,44.0,7.0,89118.26,1.0,1.0,0.0,104240.77, +714.0,Germany,Male,42.0,2.0,177640.09,1.0,0.0,1.0,47166.55,0.0 +687.0,Germany,Male,44.0,8.0,95368.14,2.0,1.0,1.0,1787.85, +561.0,Germany,Male,49.0,5.0,94754.0,1.0,1.0,1.0,26691.31, +760.0,Germany,Male,29.0,5.0,103607.24,2.0,0.0,1.0,86334.64, +665.0,France,Female,34.0,1.0,96645.54,2.0,0.0,0.0,171413.66,1.0 +815.0,Spain,Male,28.0,6.0,0.0,2.0,0.0,1.0,185547.71, +661.0,France,Female,31.0,3.0,136067.82,2.0,1.0,0.0,65567.91, +738.0,France,Male,54.0,4.0,0.0,1.0,0.0,1.0,55725.04,0.0 +537.0,Germany,Male,39.0,3.0,135309.36,1.0,1.0,0.0,31728.86, +457.0,Spain,Female,38.0,6.0,0.0,2.0,1.0,0.0,173219.09, +573.0,Germany,Male,30.0,8.0,127406.5,1.0,1.0,0.0,192950.6, +634.0,Germany,Female,37.0,7.0,143258.85,2.0,1.0,0.0,192721.98, +793.0,France,Female,63.0,9.0,116270.72,1.0,1.0,1.0,184243.25, +527.0,Germany,Female,30.0,6.0,126663.51,1.0,1.0,1.0,162267.91, +579.0,Germany,Male,42.0,0.0,144386.32,1.0,1.0,1.0,22497.1, +512.0,France,Male,36.0,4.0,152169.12,2.0,0.0,0.0,38629.3,0.0 +608.0,Spain,Female,56.0,5.0,0.0,2.0,0.0,1.0,153810.41, +631.0,France,Male,35.0,8.0,129205.49,1.0,1.0,1.0,79146.36, +559.0,France,Female,29.0,3.0,79715.36,1.0,1.0,0.0,82252.28, +646.0,Germany,Male,48.0,8.0,169023.33,2.0,1.0,1.0,175657.55, +621.0,Germany,Male,46.0,6.0,141078.37,1.0,0.0,0.0,34580.8,0.0 +550.0,France,Male,34.0,8.0,122359.5,1.0,0.0,0.0,116495.55, +498.0,Germany,Male,37.0,8.0,108432.88,2.0,1.0,1.0,14865.05, +723.0,France,Female,20.0,4.0,0.0,2.0,1.0,1.0,140385.33,1.0 +793.0,France,Male,32.0,2.0,0.0,2.0,1.0,0.0,193817.63, +739.0,Germany,Male,45.0,7.0,102703.62,1.0,0.0,1.0,147802.94,0.0 +632.0,France,Male,60.0,2.0,0.0,2.0,0.0,1.0,2085.32, +823.0,France,Male,37.0,5.0,164858.18,1.0,1.0,1.0,173516.71, +772.0,Germany,Male,26.0,7.0,152400.51,2.0,1.0,0.0,79414.0,1.0 +526.0,Germany,Male,31.0,5.0,145537.21,1.0,1.0,0.0,132404.64, +531.0,France,Male,31.0,3.0,96288.26,1.0,1.0,0.0,56794.73, +694.0,Germany,Male,31.0,4.0,141989.27,2.0,1.0,0.0,26116.82, +588.0,Germany,Male,49.0,6.0,132623.76,3.0,1.0,0.0,36292.94, +481.0,France,Female,34.0,5.0,0.0,2.0,1.0,1.0,125253.46, +823.0,France,Female,44.0,1.0,0.0,2.0,0.0,1.0,182495.7, +516.0,France,Female,40.0,9.0,0.0,2.0,0.0,1.0,33266.29, +715.0,France,Male,37.0,9.0,165252.52,1.0,1.0,0.0,85286.3, +608.0,France,Female,47.0,6.0,0.0,1.0,1.0,1.0,126012.57, +749.0,France,Female,60.0,6.0,0.0,1.0,1.0,0.0,17978.68,0.0 +518.0,France,Female,27.0,1.0,133801.49,1.0,1.0,1.0,143315.57, +727.0,France,Male,47.0,7.0,0.0,2.0,1.0,0.0,193305.35, +735.0,Spain,Male,38.0,7.0,86131.71,2.0,0.0,0.0,93478.96, +494.0,Spain,Male,38.0,7.0,0.0,2.0,1.0,1.0,6203.66,1.0 +523.0,Spain,Female,36.0,8.0,113680.54,1.0,0.0,0.0,13197.44, +701.0,France,Male,39.0,9.0,140236.98,1.0,0.0,1.0,146651.99, +753.0,France,Male,46.0,8.0,0.0,3.0,1.0,0.0,90747.94, +526.0,Spain,Female,36.0,5.0,91132.18,1.0,0.0,0.0,58111.71, +604.0,France,Male,28.0,7.0,0.0,2.0,0.0,0.0,58595.64, +850.0,France,Female,42.0,3.0,0.0,2.0,1.0,1.0,176883.42, +742.0,France,Female,35.0,2.0,79126.17,1.0,1.0,1.0,126997.53, +680.0,France,Female,30.0,8.0,141441.75,1.0,1.0,1.0,16278.97,1.0 +658.0,France,Male,32.0,8.0,0.0,1.0,1.0,1.0,80410.68, +722.0,France,Female,49.0,3.0,168197.66,1.0,1.0,0.0,140765.57,0.0 +502.0,France,Male,45.0,0.0,0.0,1.0,0.0,0.0,84663.21, +621.0,France,Female,40.0,6.0,0.0,1.0,1.0,0.0,155155.25,0.0 +491.0,France,Female,68.0,3.0,107571.61,1.0,0.0,1.0,113695.99, +824.0,France,Male,26.0,7.0,146266.0,1.0,1.0,0.0,21903.62, +566.0,Germany,Female,44.0,5.0,141428.99,2.0,0.0,0.0,68408.74, +796.0,France,Male,24.0,8.0,0.0,2.0,1.0,0.0,61349.37,0.0 +598.0,France,Female,43.0,5.0,0.0,3.0,1.0,1.0,100722.72,0.0 +821.0,Germany,Female,37.0,5.0,106453.53,2.0,0.0,1.0,127413.0, +626.0,France,Male,34.0,7.0,113014.7,2.0,1.0,1.0,56646.28, +610.0,France,Female,27.0,2.0,0.0,2.0,1.0,0.0,14546.76, +552.0,Germany,Male,33.0,3.0,144962.74,1.0,1.0,0.0,58844.84, +793.0,Spain,Male,52.0,2.0,0.0,1.0,1.0,0.0,159123.82,0.0 +827.0,France,Female,60.0,2.0,0.0,2.0,0.0,1.0,60615.83, +695.0,Germany,Male,40.0,7.0,139022.24,1.0,0.0,1.0,193383.13,0.0 +649.0,Spain,Female,32.0,7.0,0.0,1.0,1.0,0.0,28797.32, +648.0,Spain,Female,53.0,6.0,111201.41,1.0,1.0,1.0,121542.29,0.0 +641.0,Spain,Male,42.0,9.0,132657.55,1.0,1.0,0.0,35367.19, +677.0,France,Female,49.0,3.0,0.0,2.0,1.0,1.0,187811.71, +712.0,France,Male,33.0,3.0,153819.58,1.0,1.0,0.0,79176.09, +712.0,Spain,Female,29.0,7.0,77919.78,1.0,1.0,0.0,122547.58, 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+774.0,France,Male,40.0,9.0,93017.47,2.0,1.0,0.0,191608.97, +535.0,Spain,Male,48.0,9.0,109472.47,1.0,1.0,0.0,157358.43,1.0 +825.0,France,Male,40.0,6.0,132308.22,1.0,0.0,0.0,117122.5,0.0 +850.0,France,Male,58.0,8.0,156652.13,1.0,0.0,0.0,25899.21, +587.0,Germany,Male,46.0,9.0,107850.82,1.0,1.0,0.0,139431.0,0.0 +696.0,France,Female,33.0,4.0,0.0,2.0,1.0,1.0,73371.65,0.0 +834.0,Germany,Female,68.0,9.0,130169.27,2.0,0.0,1.0,93112.2,1.0 +524.0,France,Female,36.0,10.0,0.0,2.0,1.0,0.0,109614.57,0.0 +708.0,Spain,Male,38.0,8.0,99640.89,1.0,1.0,0.0,12429.22, +717.0,Spain,Male,36.0,2.0,102989.83,2.0,0.0,1.0,49185.57,0.0 +536.0,France,Female,22.0,5.0,89492.62,1.0,0.0,0.0,42934.43,0.0 +659.0,France,Male,31.0,4.0,118342.26,1.0,0.0,0.0,161574.19,0.0 +785.0,France,Female,36.0,4.0,135438.4,1.0,0.0,0.0,190627.01,0.0 +520.0,Spain,Female,42.0,6.0,0.0,2.0,1.0,1.0,34410.55,0.0 +610.0,France,Male,40.0,0.0,0.0,2.0,1.0,0.0,62232.6,0.0 +652.0,France,Male,48.0,4.0,59486.31,1.0,1.0,0.0,163944.18,0.0 +596.0,Germany,Male,54.0,1.0,123544.0,1.0,1.0,1.0,120314.75, +535.0,France,Female,29.0,5.0,0.0,2.0,0.0,1.0,52709.55,0.0 +734.0,Spain,Female,39.0,6.0,92126.26,2.0,0.0,0.0,112973.34,0.0 +520.0,Germany,Male,61.0,8.0,133802.29,2.0,1.0,1.0,90304.01,0.0 +773.0,Spain,Male,52.0,2.0,0.0,2.0,1.0,0.0,57337.79, +468.0,France,Female,42.0,5.0,0.0,2.0,1.0,0.0,125305.34,1.0 +576.0,Germany,Female,36.0,8.0,166287.85,1.0,1.0,1.0,23305.85,0.0 +530.0,France,Male,37.0,8.0,0.0,2.0,1.0,1.0,287.99, +684.0,Spain,Female,38.0,3.0,134168.5,3.0,1.0,0.0,3966.5,0.0 +692.0,France,Male,30.0,2.0,0.0,2.0,0.0,1.0,130486.57,0.0 +690.0,France,Male,39.0,6.0,0.0,2.0,1.0,0.0,160532.88,1.0 +631.0,France,Female,33.0,8.0,0.0,2.0,0.0,0.0,117374.22,0.0 +571.0,France,Male,40.0,10.0,112896.86,1.0,1.0,1.0,121402.53,1.0 +527.0,Spain,Female,35.0,8.0,0.0,1.0,1.0,0.0,98031.53,0.0 +593.0,France,Female,46.0,7.0,98752.51,1.0,1.0,0.0,145560.38,0.0 +785.0,Germany,Female,32.0,3.0,124493.03,2.0,0.0,1.0,52583.79,1.0 +578.0,France,Male,38.0,7.0,82259.29,1.0,1.0,0.0,8996.97,0.0 +601.0,France,Female,38.0,0.0,0.0,2.0,1.0,0.0,165196.65,0.0 +485.0,Germany,Male,51.0,7.0,144244.59,2.0,1.0,0.0,51113.14,0.0 +559.0,France,Male,33.0,9.0,111060.05,2.0,1.0,0.0,110371.84,0.0 +738.0,Spain,Female,33.0,3.0,122134.4,2.0,0.0,1.0,27867.59,1.0 +624.0,Spain,Female,36.0,10.0,0.0,2.0,0.0,1.0,186180.42, +567.0,France,Female,35.0,5.0,166118.45,2.0,1.0,0.0,127827.18,1.0 +538.0,Spain,Male,40.0,8.0,0.0,2.0,1.0,1.0,25554.4,0.0 +652.0,France,Female,34.0,6.0,97435.85,2.0,1.0,1.0,104331.76,0.0 +650.0,Spain,Female,25.0,3.0,86605.5,3.0,1.0,0.0,16649.31,0.0 +728.0,France,Male,37.0,0.0,0.0,2.0,1.0,1.0,72203.8,0.0 +700.0,France,Female,26.0,2.0,0.0,2.0,0.0,0.0,50051.42,0.0 +573.0,Spain,Male,28.0,8.0,0.0,2.0,0.0,0.0,77660.03, +613.0,Spain,Male,34.0,8.0,117300.02,1.0,1.0,0.0,139410.08,1.0 +614.0,Spain,Male,39.0,3.0,151914.93,1.0,0.0,0.0,56459.45,0.0 +811.0,France,Female,35.0,7.0,0.0,1.0,1.0,1.0,178.19,1.0 +548.0,France,Female,32.0,2.0,172448.77,1.0,1.0,0.0,188083.77,0.0 +569.0,Spain,Female,34.0,3.0,0.0,1.0,1.0,0.0,133997.53,1.0 +697.0,France,Female,42.0,1.0,0.0,1.0,1.0,0.0,1262.83,0.0 +632.0,Germany,Female,38.0,6.0,86569.76,2.0,1.0,0.0,98090.91,0.0 +695.0,Spain,Female,34.0,9.0,0.0,2.0,1.0,1.0,67502.12,0.0 +760.0,France,Male,37.0,7.0,0.0,1.0,0.0,0.0,32863.24, +706.0,Germany,Female,29.0,6.0,185544.36,1.0,1.0,0.0,171037.63,0.0 +708.0,Germany,Male,32.0,3.0,151691.44,2.0,1.0,1.0,172810.51,0.0 +625.0,France,Female,39.0,5.0,0.0,2.0,1.0,0.0,32615.21,0.0 +616.0,Spain,Female,44.0,7.0,193213.02,2.0,1.0,1.0,137392.77, +659.0,France,Male,29.0,6.0,123192.12,1.0,1.0,1.0,56971.41, +581.0,Germany,Male,38.0,1.0,133105.47,1.0,1.0,0.0,105732.9,0.0 +608.0,Germany,Female,44.0,5.0,126147.84,1.0,0.0,1.0,132424.69,0.0 +640.0,France,Female,33.0,1.0,167298.42,1.0,0.0,1.0,145381.65,0.0 +622.0,France,Male,26.0,9.0,0.0,2.0,1.0,1.0,153237.59,0.0 +726.0,France,Female,24.0,6.0,0.0,2.0,1.0,1.0,54724.03,0.0 +533.0,Germany,Male,38.0,4.0,70362.52,2.0,1.0,1.0,104189.46,0.0 +738.0,Spain,Male,35.0,8.0,127290.61,1.0,1.0,0.0,16081.62,0.0 +539.0,Germany,Female,34.0,4.0,91622.42,1.0,1.0,1.0,136603.42,0.0 +806.0,Spain,Male,25.0,7.0,0.0,2.0,1.0,0.0,18461.9,0.0 +670.0,Germany,Female,40.0,2.0,147171.2,1.0,0.0,1.0,69850.04,0.0 +613.0,Spain,Male,30.0,9.0,111927.45,1.0,1.0,1.0,175795.87,0.0 +600.0,France,Female,27.0,3.0,0.0,2.0,0.0,1.0,125698.97,0.0 +753.0,France,Female,36.0,7.0,128518.98,1.0,1.0,1.0,44567.83, +602.0,France,Female,63.0,7.0,0.0,2.0,1.0,1.0,56323.21,1.0 +706.0,Spain,Male,29.0,2.0,0.0,2.0,1.0,1.0,18255.51,0.0 +807.0,Spain,Female,42.0,1.0,0.0,1.0,1.0,0.0,16500.66,0.0 +659.0,Germany,Female,32.0,3.0,150923.74,2.0,0.0,1.0,174652.51,1.0 +517.0,France,Female,45.0,4.0,0.0,1.0,0.0,0.0,172674.36,0.0 +850.0,Spain,Male,36.0,6.0,0.0,2.0,0.0,1.0,41291.05, +513.0,France,Male,44.0,1.0,63562.02,2.0,0.0,1.0,52629.73,0.0 +713.0,France,Female,42.0,3.0,0.0,2.0,0.0,0.0,82565.01,0.0 +622.0,Germany,Female,52.0,9.0,111973.97,1.0,1.0,1.0,162756.29,0.0 +520.0,Spain,Male,45.0,7.0,107023.03,1.0,1.0,0.0,32903.93,0.0 +535.0,France,Male,38.0,2.0,119272.29,1.0,0.0,0.0,195896.59,0.0 +513.0,Germany,Female,49.0,5.0,171601.27,1.0,1.0,0.0,126223.84, +570.0,France,Female,29.0,4.0,153040.03,1.0,1.0,1.0,131363.57,0.0 +619.0,Spain,Female,56.0,7.0,0.0,2.0,1.0,1.0,42442.21, +431.0,Germany,Female,44.0,2.0,138843.7,1.0,1.0,0.0,37688.31,1.0 +724.0,Germany,Male,33.0,5.0,103564.83,2.0,1.0,0.0,121085.72,0.0 +614.0,Germany,Male,43.0,8.0,140733.74,1.0,1.0,1.0,166588.76,0.0 +793.0,Spain,Male,38.0,9.0,0.0,2.0,1.0,0.0,88225.02,0.0 +659.0,Spain,Female,42.0,2.0,0.0,1.0,0.0,0.0,162734.31,0.0 +637.0,France,Male,32.0,3.0,0.0,2.0,1.0,1.0,197827.06, +586.0,France,Male,51.0,2.0,138553.57,1.0,1.0,1.0,92406.22, +752.0,Germany,Male,38.0,3.0,183102.29,1.0,1.0,1.0,71557.12,0.0 +615.0,Spain,Male,42.0,4.0,0.0,3.0,0.0,1.0,120321.09, +653.0,Germany,Female,38.0,5.0,114268.22,2.0,1.0,1.0,89524.83, +565.0,France,Male,46.0,7.0,135369.71,1.0,0.0,1.0,140130.22,1.0 +601.0,France,Female,26.0,8.0,78892.23,1.0,1.0,1.0,23703.52,0.0 +600.0,Germany,Female,58.0,8.0,118723.11,1.0,0.0,0.0,6209.51,1.0 +667.0,France,Male,42.0,7.0,0.0,1.0,0.0,1.0,108348.94,0.0 +779.0,France,Male,49.0,9.0,106160.37,1.0,0.0,0.0,116893.87, +738.0,Spain,Male,38.0,5.0,177997.07,1.0,0.0,1.0,19233.41,1.0 +632.0,France,Female,28.0,5.0,118890.81,1.0,0.0,1.0,145157.97,0.0 +648.0,Germany,Female,40.0,5.0,139973.65,1.0,1.0,1.0,667.66, +779.0,Spain,Female,55.0,0.0,133295.98,1.0,1.0,0.0,22832.71,1.0 +655.0,France,Male,37.0,6.0,109093.41,2.0,1.0,0.0,1775.52,0.0 +650.0,France,Male,60.0,8.0,0.0,2.0,1.0,1.0,102925.76,0.0 +652.0,Spain,Male,31.0,1.0,132862.59,1.0,0.0,0.0,158054.49, +643.0,France,Male,34.0,7.0,0.0,2.0,0.0,1.0,100304.13,0.0 +685.0,France,Male,35.0,9.0,0.0,1.0,1.0,0.0,167033.83,0.0 +649.0,Spain,Male,36.0,8.0,0.0,2.0,1.0,0.0,161668.15,0.0 +684.0,France,Female,38.0,5.0,133189.4,1.0,0.0,0.0,127388.06,0.0 +799.0,Germany,Male,28.0,7.0,167658.33,2.0,1.0,1.0,111138.25,1.0 +714.0,Germany,Male,39.0,3.0,149887.49,2.0,1.0,0.0,63846.36,0.0 +620.0,France,Female,70.0,3.0,87926.24,2.0,1.0,0.0,33350.26,0.0 +537.0,Spain,Female,38.0,1.0,96939.06,1.0,1.0,1.0,102606.92,0.0 +572.0,Spain,Female,26.0,5.0,0.0,2.0,1.0,0.0,119381.41,0.0 +601.0,France,Male,44.0,3.0,0.0,2.0,1.0,0.0,30607.11,1.0 +684.0,France,Male,60.0,2.0,116563.58,1.0,1.0,0.0,120257.7,0.0 +670.0,France,Female,54.0,2.0,95507.12,1.0,1.0,1.0,63213.31,0.0 +763.0,France,Female,53.0,4.0,0.0,1.0,1.0,0.0,77203.72, +716.0,France,Male,39.0,1.0,70657.61,2.0,1.0,1.0,76476.05, +529.0,France,Male,39.0,6.0,102025.08,2.0,1.0,0.0,12351.01, +732.0,France,Male,36.0,5.0,0.0,2.0,1.0,0.0,161428.25,0.0 +684.0,Spain,Female,36.0,5.0,174180.39,1.0,1.0,0.0,119830.08,1.0 +731.0,Spain,Male,41.0,3.0,0.0,2.0,1.0,0.0,101371.72,0.0 +612.0,Germany,Female,62.0,8.0,140745.33,1.0,1.0,0.0,193437.89,0.0 +597.0,Germany,Female,43.0,7.0,119127.46,2.0,1.0,0.0,55809.92, +543.0,France,Female,42.0,5.0,0.0,2.0,0.0,0.0,101905.34,0.0 +667.0,Spain,Male,31.0,5.0,0.0,2.0,1.0,1.0,20346.69,0.0 +637.0,Germany,Female,39.0,9.0,137843.8,1.0,1.0,1.0,117622.8,1.0 +673.0,France,Female,42.0,4.0,0.0,2.0,1.0,0.0,121440.8,0.0 +749.0,Spain,Male,36.0,7.0,0.0,2.0,0.0,0.0,80134.65, +638.0,Germany,Male,42.0,8.0,145177.84,1.0,1.0,0.0,193471.74,1.0 +452.0,France,Female,35.0,7.0,0.0,2.0,1.0,0.0,164241.67,0.0 +557.0,France,Male,33.0,3.0,54503.55,1.0,1.0,1.0,371.05,0.0 +590.0,France,Female,60.0,6.0,147751.75,1.0,1.0,0.0,88206.04,0.0 +742.0,Germany,Male,55.0,5.0,155196.17,1.0,0.0,1.0,121207.66,0.0 +625.0,France,Male,43.0,8.0,201696.07,1.0,1.0,0.0,133020.9,0.0 +774.0,France,Female,28.0,1.0,71264.02,2.0,0.0,1.0,68759.57,0.0 +638.0,Germany,Female,41.0,9.0,144326.09,1.0,1.0,0.0,73979.85, +501.0,Germany,Male,38.0,9.0,88977.39,2.0,0.0,1.0,133403.07,0.0 +644.0,Spain,Male,18.0,7.0,0.0,1.0,0.0,1.0,59645.24, +587.0,Spain,Male,42.0,5.0,120233.83,1.0,1.0,0.0,194890.33,0.0 +716.0,France,Female,44.0,6.0,155114.9,1.0,0.0,0.0,133871.83,0.0 +654.0,France,Female,29.0,4.0,96974.97,1.0,0.0,1.0,141404.07,0.0 +726.0,France,Female,48.0,4.0,0.0,1.0,1.0,0.0,114020.06,0.0 +537.0,Germany,Female,47.0,4.0,124192.28,2.0,1.0,1.0,50881.51,0.0 +792.0,France,Male,31.0,6.0,71269.89,2.0,0.0,1.0,125912.77,0.0 +762.0,Germany,Male,28.0,3.0,125155.83,2.0,1.0,1.0,106024.02,0.0 +627.0,Germany,Male,38.0,8.0,106922.92,2.0,0.0,1.0,84270.09,0.0 +511.0,France,Male,33.0,7.0,0.0,2.0,0.0,1.0,158313.87,0.0 +631.0,Spain,Male,23.0,3.0,0.0,2.0,1.0,0.0,13813.24,0.0 +850.0,France,Female,28.0,2.0,0.0,2.0,1.0,1.0,38773.74,1.0 +543.0,Germany,Female,37.0,3.0,122304.65,2.0,0.0,0.0,33998.7, +744.0,France,Male,29.0,1.0,0.0,1.0,0.0,0.0,82422.97,0.0 +695.0,Spain,Female,35.0,7.0,79858.13,2.0,1.0,1.0,127977.66, +553.0,Spain,Male,38.0,1.0,181110.13,2.0,1.0,0.0,184544.59,0.0 +773.0,Spain,Male,37.0,2.0,103195.2,2.0,1.0,0.0,178268.36,0.0 +727.0,Spain,Female,52.0,1.0,154733.97,1.0,1.0,0.0,80259.67,0.0 +579.0,Spain,Male,33.0,1.0,0.0,2.0,1.0,1.0,54816.57,1.0 +522.0,France,Female,34.0,3.0,0.0,2.0,1.0,1.0,3894.34,0.0 +486.0,Spain,Male,27.0,7.0,0.0,2.0,1.0,0.0,28823.04,0.0 +604.0,Spain,Male,41.0,3.0,0.0,1.0,0.0,0.0,11819.84,0.0 +692.0,France,Female,31.0,2.0,0.0,2.0,1.0,0.0,91829.17,0.0 +637.0,France,Female,33.0,9.0,113913.53,1.0,0.0,1.0,65316.5, +732.0,France,Male,62.0,2.0,0.0,2.0,1.0,1.0,25438.87,0.0 +792.0,Germany,Female,50.0,4.0,146710.76,1.0,1.0,0.0,16528.4,1.0 +670.0,Spain,Female,20.0,4.0,0.0,2.0,1.0,0.0,119759.24,1.0 +486.0,France,Female,39.0,8.0,97819.36,1.0,0.0,1.0,120531.31,1.0 +468.0,France,Female,22.0,1.0,76318.64,1.0,1.0,1.0,194783.12, +696.0,France,Female,25.0,8.0,126442.59,1.0,1.0,0.0,121904.44,0.0 +675.0,Germany,Male,36.0,7.0,89409.95,1.0,1.0,1.0,149399.7,1.0 +527.0,Spain,Male,28.0,6.0,128396.33,2.0,1.0,0.0,79919.97,0.0 +645.0,France,Male,40.0,6.0,131411.24,1.0,1.0,1.0,194656.11,0.0 +549.0,Germany,Female,43.0,3.0,134985.66,1.0,1.0,0.0,6101.41,0.0 +605.0,France,Female,32.0,5.0,0.0,2.0,1.0,1.0,42135.28,0.0 +575.0,France,Female,57.0,8.0,137936.94,1.0,1.0,1.0,84475.13, +775.0,France,Female,30.0,5.0,0.0,1.0,1.0,0.0,193880.6,1.0 +670.0,France,Female,42.0,6.0,112333.63,1.0,1.0,1.0,65706.86,0.0 +624.0,France,Male,42.0,3.0,145155.37,1.0,1.0,0.0,72169.95, +743.0,Spain,Male,41.0,7.0,0.0,1.0,1.0,0.0,163736.09,0.0 +521.0,France,Male,35.0,6.0,96423.84,1.0,1.0,0.0,10488.44,1.0 +682.0,France,Female,43.0,5.0,125851.93,1.0,1.0,1.0,193318.33,0.0 +571.0,France,Female,33.0,9.0,102017.25,2.0,0.0,0.0,128600.49,0.0 +747.0,France,Female,34.0,10.0,0.0,2.0,1.0,1.0,50759.8, +595.0,Germany,Female,41.0,9.0,150463.11,2.0,0.0,1.0,81548.38,0.0 +666.0,Germany,Female,50.0,7.0,109062.28,1.0,1.0,1.0,140136.1,1.0 +725.0,France,Male,26.0,6.0,98684.15,1.0,0.0,0.0,133720.57, +649.0,Spain,Male,32.0,1.0,0.0,1.0,0.0,1.0,91167.19,0.0 +841.0,Spain,Male,41.0,1.0,0.0,2.0,0.0,1.0,193093.77,0.0 +678.0,France,Male,41.0,2.0,148088.11,1.0,1.0,0.0,14083.12, +642.0,Spain,Female,36.0,6.0,0.0,2.0,1.0,1.0,97938.59,0.0 +428.0,France,Female,31.0,2.0,0.0,2.0,1.0,0.0,54487.43,0.0 +698.0,Germany,Female,64.0,1.0,169362.43,1.0,1.0,0.0,84760.32,0.0 +657.0,Spain,Male,42.0,5.0,41473.33,1.0,1.0,0.0,112979.6,0.0 +470.0,France,Female,25.0,8.0,127974.06,2.0,1.0,1.0,183259.35, +712.0,France,Male,35.0,7.0,124616.23,1.0,1.0,1.0,69320.97,1.0 +702.0,Germany,Male,36.0,9.0,90560.48,2.0,1.0,0.0,174268.87, +733.0,Germany,Male,45.0,2.0,113939.36,2.0,1.0,0.0,3218.71,0.0 +439.0,France,Female,29.0,6.0,156569.43,1.0,1.0,0.0,180598.66,0.0 +771.0,France,Male,32.0,5.0,62321.62,1.0,1.0,1.0,40920.59,1.0 +632.0,France,Female,36.0,7.0,0.0,2.0,1.0,1.0,52526.65,0.0 +567.0,France,Female,47.0,2.0,0.0,1.0,0.0,0.0,110900.43, +713.0,Germany,Male,40.0,3.0,114446.84,2.0,1.0,1.0,87308.18,0.0 +581.0,France,Female,24.0,3.0,95508.2,1.0,1.0,1.0,45755.0, +546.0,France,Female,20.0,6.0,0.0,1.0,0.0,1.0,20508.85, +654.0,France,Male,37.0,6.0,83568.55,1.0,1.0,0.0,47046.72,0.0 +711.0,Germany,Female,45.0,1.0,97486.15,2.0,1.0,0.0,50610.62,1.0 +564.0,France,Female,53.0,2.0,45472.28,1.0,1.0,1.0,41055.71, +622.0,Germany,Male,42.0,9.0,115766.26,1.0,0.0,0.0,72155.85,0.0 +629.0,France,Male,46.0,1.0,130666.2,1.0,1.0,1.0,161125.67,0.0 +692.0,Germany,Female,41.0,8.0,130701.29,1.0,1.0,0.0,59354.24,1.0 +723.0,Germany,Female,28.0,5.0,91938.31,1.0,1.0,0.0,143481.85,0.0 +641.0,France,Male,77.0,9.0,0.0,3.0,1.0,1.0,81514.06,1.0 +610.0,Germany,Male,50.0,1.0,113957.01,2.0,1.0,0.0,196526.55, +577.0,France,Female,46.0,1.0,0.0,1.0,1.0,1.0,158750.53,0.0 +682.0,Spain,Female,50.0,10.0,128039.01,1.0,1.0,1.0,102260.16,0.0 +624.0,Spain,Female,23.0,6.0,0.0,2.0,0.0,1.0,196668.51,0.0 +619.0,France,Male,58.0,5.0,152199.33,1.0,1.0,1.0,86022.09,0.0 +694.0,France,Male,42.0,8.0,133767.19,1.0,1.0,0.0,36405.21, +581.0,Spain,Male,30.0,0.0,53291.86,1.0,0.0,0.0,196582.28,0.0 +545.0,Germany,Male,53.0,5.0,114421.55,1.0,1.0,0.0,180598.28,0.0 +465.0,France,Male,33.0,8.0,0.0,2.0,1.0,0.0,177668.55,0.0 +645.0,Germany,Female,59.0,8.0,121669.93,2.0,0.0,0.0,91.75, +646.0,Germany,Female,44.0,2.0,113063.83,1.0,0.0,0.0,53072.49,0.0 +545.0,France,Male,38.0,1.0,88293.13,2.0,1.0,1.0,24302.95,0.0 +756.0,Germany,Male,41.0,6.0,149049.92,1.0,0.0,1.0,50422.36,0.0 +587.0,Germany,Female,44.0,5.0,125584.17,2.0,1.0,1.0,41852.24,0.0 +657.0,Spain,Male,40.0,10.0,0.0,2.0,1.0,1.0,52990.7,1.0 +681.0,Germany,Male,48.0,5.0,139714.4,2.0,0.0,0.0,73066.72,0.0 +600.0,Spain,Female,50.0,6.0,94684.27,1.0,1.0,1.0,50488.91,1.0 +691.0,France,Male,50.0,6.0,136953.47,1.0,1.0,1.0,2704.98,0.0 +457.0,France,Male,41.0,8.0,73700.12,3.0,1.0,1.0,185750.02,1.0 +607.0,Germany,Male,29.0,7.0,102609.0,1.0,1.0,0.0,163257.44, +679.0,Spain,Male,39.0,6.0,0.0,2.0,1.0,0.0,12266.06,0.0 +583.0,France,Female,29.0,10.0,0.0,2.0,1.0,1.0,111285.85,0.0 +562.0,France,Male,75.0,5.0,87140.85,1.0,1.0,1.0,39351.64,0.0 +828.0,Spain,Male,34.0,9.0,0.0,2.0,1.0,1.0,81853.98,0.0 +677.0,France,Male,37.0,3.0,88363.03,1.0,0.0,1.0,117946.3,0.0 +819.0,France,Female,39.0,9.0,133102.92,1.0,1.0,0.0,27046.46,0.0 +668.0,France,Male,72.0,2.0,0.0,2.0,1.0,1.0,70783.61, +485.0,France,Male,37.0,5.0,0.0,2.0,0.0,1.0,170226.47,1.0 +751.0,Germany,Male,54.0,9.0,156367.6,2.0,0.0,1.0,116179.92, +686.0,Germany,Female,47.0,5.0,170935.94,1.0,1.0,0.0,173179.79,0.0 +699.0,Spain,Male,34.0,8.0,0.0,1.0,1.0,1.0,76510.46,0.0 +620.0,Germany,Male,40.0,5.0,108197.11,2.0,1.0,0.0,49722.34,0.0 +552.0,France,Female,34.0,5.0,0.0,2.0,1.0,1.0,1351.41,1.0 +651.0,France,Male,45.0,2.0,165901.59,2.0,1.0,0.0,23054.51,0.0 +516.0,France,Female,47.0,6.0,109387.33,1.0,0.0,0.0,121365.45,1.0 +525.0,France,Male,26.0,7.0,153644.39,1.0,1.0,1.0,63197.88,0.0 +699.0,France,Male,32.0,3.0,0.0,2.0,1.0,1.0,170770.44,0.0 +796.0,France,Male,44.0,8.0,165326.2,1.0,1.0,1.0,57205.55,0.0 +661.0,France,Female,37.0,5.0,136425.18,1.0,1.0,0.0,81102.81,0.0 +644.0,France,Male,40.0,8.0,93183.19,1.0,1.0,0.0,73882.49,1.0 +627.0,Spain,Female,28.0,3.0,157597.61,1.0,0.0,1.0,34097.22,0.0 +593.0,France,Male,50.0,6.0,171740.69,1.0,0.0,0.0,20893.61, +607.0,Germany,Female,39.0,8.0,105103.33,1.0,1.0,0.0,104721.5,0.0 +503.0,Spain,Female,36.0,9.0,0.0,2.0,1.0,1.0,16274.67,1.0 +623.0,France,Female,44.0,6.0,0.0,2.0,0.0,0.0,167162.43,0.0 +782.0,France,Male,36.0,1.0,148795.17,2.0,1.0,1.0,195681.43,0.0 +693.0,Spain,Female,46.0,3.0,151709.33,1.0,1.0,0.0,180736.24,0.0 +606.0,Germany,Male,40.0,1.0,144757.97,2.0,1.0,1.0,166656.18, +830.0,Germany,Female,40.0,8.0,77701.64,1.0,0.0,1.0,19512.38, +567.0,France,Male,36.0,7.0,0.0,2.0,0.0,1.0,3896.08, +757.0,France,Male,29.0,8.0,130306.49,1.0,1.0,0.0,77469.38,1.0 +528.0,Spain,Male,36.0,7.0,0.0,2.0,1.0,0.0,60536.56,0.0 +708.0,France,Female,44.0,2.0,161887.81,2.0,1.0,0.0,84870.23,0.0 +539.0,France,Male,39.0,1.0,0.0,1.0,1.0,1.0,28184.7, +633.0,France,Female,32.0,1.0,104001.38,1.0,0.0,1.0,36642.65,1.0 +640.0,France,Male,44.0,7.0,111833.47,1.0,1.0,0.0,67202.74,1.0 +711.0,Germany,Female,35.0,2.0,133607.75,1.0,1.0,1.0,120586.32,0.0 +656.0,Spain,Female,41.0,6.0,101179.23,2.0,1.0,1.0,35230.61, +850.0,France,Female,33.0,7.0,118004.26,1.0,1.0,0.0,183983.82,0.0 +831.0,France,Female,32.0,2.0,146033.62,1.0,1.0,0.0,191260.74,0.0 +798.0,France,Female,60.0,6.0,96956.1,1.0,1.0,0.0,31907.44,0.0 +668.0,France,Female,46.0,2.0,0.0,3.0,1.0,0.0,89048.46,0.0 +802.0,Germany,Male,31.0,1.0,125013.72,1.0,1.0,1.0,187658.09,0.0 +557.0,Germany,Male,68.0,2.0,100194.44,1.0,1.0,1.0,38596.34,0.0 +731.0,Spain,Female,37.0,1.0,128932.4,1.0,1.0,1.0,180712.52,0.0 +664.0,France,Female,44.0,8.0,142989.69,1.0,1.0,1.0,115452.51,0.0 +694.0,Spain,Male,39.0,3.0,0.0,1.0,1.0,1.0,95625.03, +754.0,Spain,Male,39.0,6.0,170184.99,2.0,1.0,0.0,89593.26,0.0 +471.0,France,Male,42.0,3.0,164951.56,1.0,1.0,0.0,190531.77,0.0 +577.0,Spain,Male,43.0,8.0,79757.21,1.0,1.0,0.0,135650.72,0.0 +465.0,Spain,Female,33.0,6.0,0.0,2.0,1.0,1.0,95500.98,0.0 +704.0,Spain,Male,38.0,6.0,106687.76,1.0,1.0,0.0,173776.5, +660.0,Germany,Male,30.0,1.0,84440.1,2.0,1.0,1.0,60485.98, +577.0,France,Male,25.0,3.0,0.0,2.0,0.0,1.0,124508.29,1.0 +850.0,Germany,Female,70.0,1.0,96947.58,3.0,1.0,0.0,62282.99,0.0 +640.0,France,Male,68.0,9.0,0.0,2.0,1.0,1.0,199493.38,0.0 +769.0,France,Male,48.0,2.0,96542.16,2.0,0.0,1.0,197885.72,0.0 +646.0,Germany,Male,50.0,6.0,145295.31,2.0,1.0,1.0,27814.74,0.0 +727.0,Germany,Female,18.0,2.0,93816.7,2.0,1.0,0.0,126172.11, +717.0,France,Male,40.0,0.0,98241.04,1.0,1.0,0.0,110887.14,0.0 +724.0,France,Male,31.0,5.0,0.0,1.0,1.0,0.0,134889.95,0.0 +530.0,France,Male,52.0,1.0,106723.28,1.0,0.0,0.0,109960.4,0.0 +654.0,Germany,Male,37.0,5.0,112146.12,1.0,1.0,0.0,75927.35,0.0 +670.0,France,Male,33.0,2.0,141204.65,2.0,1.0,0.0,76257.46,1.0 +621.0,Spain,Male,39.0,8.0,0.0,2.0,1.0,0.0,36122.96,0.0 +769.0,France,Female,40.0,9.0,133871.05,1.0,1.0,1.0,50568.02, +552.0,Germany,Male,39.0,2.0,132906.88,1.0,0.0,1.0,149384.43, +646.0,France,Female,73.0,6.0,97259.25,1.0,0.0,1.0,104719.66,0.0 +681.0,Spain,Male,67.0,7.0,0.0,2.0,0.0,1.0,163714.92,0.0 +779.0,France,Male,62.0,10.0,119096.55,1.0,0.0,1.0,116977.89,0.0 +660.0,France,Female,35.0,6.0,100768.77,1.0,1.0,0.0,19199.61,0.0 +779.0,France,Female,41.0,10.0,99786.2,1.0,1.0,0.0,86927.53,0.0 +583.0,France,Male,24.0,9.0,135125.28,1.0,0.0,0.0,89801.9,1.0 +594.0,France,Female,30.0,10.0,0.0,2.0,1.0,1.0,124071.71,1.0 +609.0,Spain,Female,45.0,4.0,89122.3,1.0,1.0,1.0,199256.98,1.0 +653.0,France,Female,60.0,2.0,120731.39,4.0,1.0,1.0,138160.11,0.0 +814.0,France,Female,31.0,6.0,87772.52,1.0,1.0,0.0,188516.45, +731.0,Germany,Female,21.0,8.0,132312.06,1.0,1.0,0.0,106663.46,0.0 +692.0,France,Male,69.0,10.0,154953.94,1.0,1.0,1.0,70849.47, +696.0,Spain,Male,60.0,8.0,88786.81,1.0,1.0,1.0,196858.4,0.0 +530.0,France,Male,25.0,9.0,162560.32,1.0,1.0,0.0,64129.03,0.0 +850.0,France,Male,47.0,6.0,0.0,1.0,1.0,0.0,187391.02,0.0 +612.0,Germany,Male,32.0,9.0,106520.73,2.0,1.0,0.0,177092.16, +682.0,France,Male,28.0,10.0,200724.96,1.0,0.0,1.0,82872.64,0.0 +617.0,Spain,Male,61.0,3.0,113858.95,1.0,1.0,1.0,38129.22,0.0 +658.0,France,Female,38.0,6.0,102895.1,1.0,0.0,0.0,155665.76,0.0 +587.0,France,Female,36.0,1.0,134997.49,2.0,1.0,0.0,44688.08,0.0 +833.0,France,Female,28.0,4.0,136674.51,2.0,0.0,0.0,5278.78,1.0 +681.0,France,Female,41.0,0.0,120549.29,2.0,1.0,0.0,175722.31, +763.0,Germany,Female,61.0,1.0,66101.89,1.0,1.0,1.0,143981.27,0.0 +542.0,Spain,Male,54.0,8.0,105770.14,1.0,0.0,1.0,140929.98,0.0 +467.0,Germany,Male,51.0,10.0,114514.71,2.0,1.0,0.0,177784.68, +724.0,France,Female,69.0,5.0,117866.92,1.0,1.0,1.0,62280.91, +726.0,France,Female,42.0,2.0,109471.79,1.0,0.0,1.0,175161.05,0.0 +583.0,France,Male,51.0,6.0,125268.03,2.0,1.0,0.0,165082.25,1.0 +767.0,Spain,Male,47.0,5.0,0.0,1.0,1.0,0.0,121964.46, +648.0,France,Male,33.0,7.0,134944.0,1.0,1.0,1.0,117036.38,0.0 +545.0,Spain,Female,39.0,6.0,0.0,1.0,0.0,0.0,38410.74,0.0 +666.0,France,Male,47.0,2.0,0.0,1.0,1.0,0.0,35046.97,0.0 +689.0,Spain,Male,38.0,2.0,0.0,1.0,1.0,1.0,82709.8,0.0 +683.0,France,Male,43.0,2.0,112499.42,2.0,1.0,0.0,30375.18, +606.0,France,Male,37.0,6.0,82373.94,1.0,0.0,0.0,172526.9, +639.0,Germany,Female,46.0,10.0,110031.09,2.0,1.0,1.0,133995.59,0.0 +687.0,Germany,Male,38.0,4.0,117633.28,1.0,0.0,1.0,88396.6,1.0 +614.0,Germany,Male,32.0,7.0,99462.8,2.0,1.0,1.0,51117.06,0.0 +775.0,France,Male,28.0,9.0,111167.7,1.0,1.0,0.0,149331.01,0.0 +605.0,Spain,Female,57.0,2.0,0.0,3.0,1.0,0.0,66652.75,0.0 +752.0,Spain,Male,48.0,5.0,116060.08,1.0,1.0,0.0,156618.38,0.0 +576.0,France,Female,52.0,9.0,170228.59,2.0,0.0,0.0,148477.57,0.0 +405.0,France,Male,39.0,10.0,0.0,1.0,1.0,0.0,160810.85,0.0 +606.0,Germany,Female,41.0,4.0,132670.53,1.0,1.0,0.0,156476.36,0.0 +592.0,France,Female,27.0,4.0,0.0,2.0,1.0,1.0,183569.25,1.0 +594.0,Germany,Female,21.0,2.0,87096.82,2.0,1.0,0.0,168186.11,0.0 +523.0,Germany,Male,35.0,8.0,138782.76,1.0,1.0,1.0,186118.93,0.0 +580.0,Spain,Male,61.0,8.0,125921.37,1.0,1.0,1.0,94677.83,0.0 +581.0,Spain,Male,49.0,10.0,0.0,2.0,0.0,0.0,41623.59,0.0 +432.0,Spain,Male,38.0,7.0,0.0,2.0,1.0,0.0,150580.88,1.0 +597.0,France,Female,33.0,6.0,135703.59,2.0,0.0,0.0,74850.84,0.0 +489.0,Germany,Male,28.0,1.0,79460.98,2.0,1.0,1.0,167973.63,0.0 +770.0,France,Female,70.0,9.0,110738.89,1.0,1.0,0.0,22666.77,0.0 +635.0,France,Male,41.0,4.0,103544.88,2.0,1.0,0.0,193746.55,0.0 +734.0,France,Female,40.0,9.0,176914.8,1.0,1.0,1.0,12799.23,0.0 +768.0,France,Male,25.0,0.0,78396.08,1.0,1.0,1.0,8316.19,0.0 +596.0,Spain,Male,67.0,6.0,0.0,2.0,1.0,1.0,138350.74,0.0 +678.0,Germany,Female,25.0,10.0,76968.12,2.0,0.0,1.0,131501.72,0.0 +850.0,Germany,Male,53.0,2.0,94078.97,2.0,1.0,0.0,36980.54,0.0 +756.0,France,Male,60.0,2.0,0.0,1.0,1.0,1.0,166513.49,0.0 +551.0,France,Female,59.0,2.0,166968.28,1.0,1.0,0.0,159483.76, +735.0,Spain,Male,29.0,10.0,0.0,2.0,1.0,1.0,95025.27,0.0 +711.0,France,Male,33.0,1.0,0.0,1.0,0.0,0.0,41590.4, +589.0,France,Female,59.0,2.0,0.0,2.0,1.0,1.0,126160.24,1.0 +787.0,Germany,Female,42.0,2.0,74483.97,2.0,0.0,1.0,44273.91, +613.0,France,Male,34.0,5.0,144094.2,1.0,1.0,0.0,44510.26, +754.0,Spain,Female,32.0,7.0,0.0,2.0,1.0,0.0,89520.75,1.0 +441.0,France,Male,60.0,1.0,140614.15,1.0,0.0,1.0,174381.23,0.0 +609.0,France,Male,34.0,1.0,0.0,1.0,1.0,1.0,181177.9,0.0 +624.0,Germany,Female,27.0,7.0,104848.68,1.0,1.0,1.0,167387.36,1.0 +564.0,France,Male,26.0,7.0,84006.88,2.0,0.0,0.0,183490.99,0.0 +764.0,Spain,Male,29.0,5.0,0.0,2.0,1.0,0.0,65868.28,0.0 +569.0,Germany,Female,32.0,8.0,145330.43,1.0,1.0,1.0,132038.65,0.0 +568.0,Spain,Male,39.0,5.0,0.0,2.0,1.0,1.0,129569.92,0.0 +736.0,France,Female,36.0,6.0,0.0,1.0,1.0,0.0,70496.66, +656.0,France,Female,48.0,9.0,0.0,2.0,1.0,1.0,85240.61,0.0 +474.0,France,Male,33.0,5.0,0.0,2.0,1.0,0.0,181945.52,0.0 +681.0,France,Female,58.0,8.0,93173.88,1.0,1.0,1.0,139761.25,0.0 +741.0,Spain,Male,50.0,1.0,78737.61,1.0,1.0,1.0,13018.96,0.0 +581.0,France,Male,71.0,4.0,0.0,2.0,1.0,1.0,197562.08,0.0 +616.0,Germany,Male,39.0,2.0,121704.32,2.0,1.0,0.0,55556.3,0.0 +732.0,Spain,Female,33.0,8.0,111379.55,1.0,1.0,1.0,45098.62,0.0 +626.0,Germany,Male,39.0,10.0,132287.92,3.0,1.0,1.0,51467.92,0.0 +697.0,Spain,Male,30.0,1.0,0.0,2.0,0.0,0.0,735.79,0.0 +691.0,France,Male,58.0,3.0,0.0,1.0,0.0,1.0,194930.3,0.0 +548.0,France,Female,29.0,4.0,0.0,2.0,0.0,1.0,48673.18,0.0 +759.0,France,Male,41.0,9.0,0.0,2.0,0.0,1.0,190294.12,0.0 +634.0,Spain,Male,35.0,3.0,0.0,2.0,1.0,1.0,19515.48, +725.0,France,Female,36.0,1.0,118851.05,1.0,1.0,1.0,102747.02, +813.0,Germany,Female,25.0,5.0,123616.43,1.0,0.0,1.0,132959.33,1.0 +846.0,France,Female,38.0,5.0,0.0,1.0,1.0,1.0,187616.16,0.0 +683.0,Germany,Male,35.0,5.0,144961.97,1.0,0.0,1.0,26796.73,1.0 +761.0,Germany,Male,36.0,8.0,108239.11,2.0,0.0,0.0,99444.02,1.0 +707.0,Spain,Male,48.0,8.0,88441.64,1.0,1.0,1.0,119903.2,0.0 +681.0,France,Female,79.0,0.0,0.0,2.0,0.0,1.0,170968.99,0.0 +481.0,France,Female,57.0,9.0,0.0,3.0,1.0,1.0,169719.35,0.0 +687.0,Spain,Female,72.0,4.0,0.0,2.0,1.0,1.0,50267.69, +746.0,France,Female,32.0,4.0,0.0,2.0,1.0,1.0,72909.75,0.0 +659.0,France,Female,56.0,9.0,123785.24,1.0,1.0,0.0,99504.03,0.0 +617.0,Spain,Female,46.0,3.0,106521.49,1.0,0.0,1.0,86587.37,0.0 +579.0,Spain,Male,37.0,5.0,152212.88,2.0,0.0,0.0,120219.14,0.0 +799.0,France,Male,70.0,8.0,70416.75,1.0,1.0,1.0,36483.52,0.0 +680.0,Germany,Male,44.0,0.0,129974.79,2.0,1.0,1.0,33391.38,0.0 +713.0,France,Female,37.0,8.0,0.0,1.0,1.0,1.0,16403.41,0.0 +494.0,France,Male,30.0,3.0,85704.95,1.0,0.0,1.0,27886.06,1.0 +633.0,France,Female,47.0,0.0,0.0,1.0,1.0,1.0,6342.84,0.0 +554.0,France,Male,24.0,10.0,0.0,1.0,0.0,0.0,92180.62,0.0 +666.0,Germany,Female,21.0,1.0,121827.43,2.0,1.0,1.0,99818.31,0.0 +625.0,Germany,Male,26.0,3.0,130483.95,1.0,1.0,0.0,122810.53,0.0 +661.0,Spain,Male,42.0,2.0,178820.91,1.0,0.0,0.0,29358.57,0.0 +642.0,Germany,Male,41.0,4.0,157777.58,1.0,1.0,0.0,67484.6,0.0 +841.0,France,Male,34.0,4.0,0.0,2.0,1.0,0.0,141582.66,0.0 +699.0,France,Male,30.0,9.0,0.0,1.0,1.0,1.0,108162.13, +714.0,France,Male,54.0,7.0,126113.28,1.0,1.0,0.0,112777.38, +646.0,Germany,Male,24.0,0.0,92398.08,1.0,1.0,1.0,18897.29, +698.0,Germany,Male,44.0,10.0,116363.37,2.0,1.0,0.0,198059.16,0.0 +828.0,France,Male,34.0,8.0,129433.34,2.0,0.0,0.0,38131.77,0.0 +466.0,France,Female,41.0,3.0,33563.95,2.0,1.0,0.0,178994.13,1.0 +732.0,Germany,Female,48.0,4.0,102962.62,1.0,1.0,0.0,120852.85, +573.0,Spain,Male,56.0,3.0,154669.77,1.0,0.0,1.0,115462.27,0.0 +794.0,France,Male,35.0,6.0,0.0,2.0,1.0,1.0,68730.91,0.0 +673.0,France,Female,37.0,10.0,0.0,2.0,1.0,1.0,37411.35, +621.0,France,Male,39.0,6.0,0.0,2.0,1.0,1.0,58883.91,0.0 +658.0,Germany,Male,31.0,2.0,77082.65,2.0,0.0,0.0,13482.28,0.0 +637.0,Germany,Male,43.0,1.0,135645.29,2.0,0.0,1.0,101382.86, +638.0,France,Female,43.0,3.0,145860.98,1.0,1.0,1.0,142763.51, +744.0,Spain,Female,46.0,1.0,0.0,3.0,1.0,1.0,177431.59, +708.0,Spain,Male,40.0,8.0,83015.71,1.0,1.0,0.0,101089.76, +619.0,France,Male,39.0,5.0,0.0,2.0,1.0,1.0,158444.61,0.0 +685.0,Spain,Male,38.0,4.0,0.0,2.0,1.0,1.0,35884.91,1.0 +684.0,Spain,Female,31.0,8.0,0.0,2.0,1.0,0.0,188637.05,0.0 +564.0,Germany,Male,41.0,9.0,103522.75,2.0,1.0,1.0,34338.21,0.0 +613.0,France,Female,46.0,8.0,167795.6,1.0,0.0,1.0,44390.38,0.0 +566.0,France,Female,42.0,6.0,0.0,1.0,1.0,0.0,180702.12,0.0 +680.0,France,Male,33.0,10.0,183768.47,1.0,1.0,0.0,164119.35, +585.0,France,Male,55.0,10.0,106415.57,3.0,1.0,1.0,122960.98,0.0 +702.0,France,Male,26.0,2.0,71281.29,1.0,1.0,1.0,108747.12, +787.0,France,Female,35.0,1.0,106266.8,1.0,1.0,1.0,16607.15,0.0 +498.0,Germany,Male,42.0,3.0,152039.7,1.0,1.0,1.0,53445.17, +670.0,France,Male,33.0,6.0,88294.6,1.0,1.0,0.0,66979.06,0.0 +670.0,Spain,Male,43.0,1.0,97792.21,1.0,0.0,0.0,120225.62,0.0 +773.0,France,Male,25.0,2.0,135903.33,1.0,1.0,0.0,73656.38,0.0 +833.0,Spain,Male,32.0,6.0,0.0,1.0,1.0,1.0,44323.22,1.0 +481.0,Germany,Male,44.0,3.0,163714.52,1.0,1.0,0.0,96123.72,0.0 +707.0,France,Female,31.0,2.0,82787.93,2.0,0.0,0.0,91423.69,0.0 +609.0,Spain,Male,37.0,5.0,129312.79,1.0,1.0,1.0,26793.82,0.0 +639.0,France,Male,43.0,6.0,99610.92,2.0,1.0,0.0,187296.78,0.0 +733.0,Spain,Male,35.0,8.0,102918.38,1.0,1.0,1.0,45959.86,0.0 +828.0,Spain,Male,28.0,8.0,134766.85,1.0,1.0,0.0,79355.87,0.0 +718.0,Spain,Male,40.0,9.0,0.0,2.0,0.0,0.0,121537.91,0.0 +613.0,France,Female,29.0,6.0,185709.28,2.0,1.0,1.0,77242.19,0.0 +728.0,France,Female,69.0,1.0,0.0,2.0,1.0,1.0,131804.86,0.0 +730.0,France,Female,32.0,9.0,127661.69,1.0,0.0,0.0,60905.51, +528.0,France,Male,31.0,6.0,102016.72,2.0,0.0,0.0,80181.12,0.0 +798.0,France,Male,28.0,3.0,0.0,2.0,1.0,0.0,2305.27,0.0 +628.0,France,Female,38.0,3.0,0.0,2.0,1.0,1.0,48924.73,0.0 +698.0,France,Male,29.0,5.0,95167.55,1.0,1.0,1.0,152723.23,1.0 +642.0,France,Female,40.0,7.0,0.0,2.0,1.0,0.0,10712.82,0.0 +850.0,Germany,Female,31.0,1.0,130089.56,2.0,1.0,1.0,4466.21,1.0 +499.0,Germany,Male,36.0,5.0,131142.53,2.0,1.0,0.0,174918.46,0.0 +640.0,France,Male,28.0,7.0,0.0,2.0,1.0,1.0,131097.9,0.0 +758.0,Germany,Female,61.0,8.0,125397.21,1.0,1.0,0.0,182184.09,0.0 +660.0,Spain,Female,42.0,5.0,0.0,3.0,1.0,1.0,189016.24,0.0 +774.0,Germany,Male,34.0,4.0,120875.23,2.0,0.0,1.0,113407.26, +814.0,France,Male,49.0,8.0,0.0,2.0,0.0,0.0,157822.54,0.0 +690.0,France,Male,21.0,8.0,0.0,2.0,1.0,1.0,155782.89, +714.0,France,Male,52.0,4.0,100755.66,1.0,1.0,1.0,186775.25,0.0 +655.0,Germany,Male,34.0,7.0,118028.35,1.0,1.0,0.0,51226.32,0.0 +597.0,France,Male,45.0,7.0,0.0,2.0,0.0,0.0,167756.45,1.0 +517.0,France,Male,28.0,2.0,115062.61,1.0,1.0,0.0,179056.23,1.0 +635.0,France,Female,72.0,4.0,74812.84,1.0,0.0,1.0,27448.33,0.0 +705.0,France,Female,39.0,5.0,149379.66,2.0,1.0,0.0,96075.55,0.0 +687.0,France,Female,36.0,4.0,97157.96,1.0,0.0,1.0,63185.05,1.0 +619.0,Spain,Female,41.0,8.0,0.0,3.0,1.0,1.0,79866.73,0.0 +577.0,France,Female,26.0,1.0,180530.51,1.0,0.0,0.0,123454.62,0.0 +850.0,France,Female,71.0,4.0,0.0,2.0,1.0,1.0,107236.87, +705.0,Spain,Female,47.0,3.0,63488.7,1.0,0.0,1.0,28640.92,0.0 +683.0,Spain,Male,38.0,3.0,126152.84,1.0,0.0,0.0,15378.75,0.0 +719.0,Germany,Female,42.0,5.0,137227.04,3.0,1.0,0.0,149097.38,0.0 +551.0,Spain,Male,49.0,1.0,150777.72,2.0,1.0,1.0,135757.27, +758.0,Germany,Female,23.0,5.0,122739.1,1.0,1.0,0.0,102460.84, +666.0,Germany,Male,33.0,2.0,124125.26,1.0,1.0,0.0,81884.8, +850.0,France,Male,40.0,1.0,76914.21,1.0,1.0,0.0,174183.44,0.0 +663.0,Spain,Female,22.0,9.0,0.0,1.0,1.0,0.0,29135.89,0.0 +578.0,France,Female,35.0,2.0,0.0,2.0,0.0,1.0,26389.92, +748.0,Spain,Male,35.0,5.0,105492.53,1.0,1.0,1.0,150057.2,0.0 +530.0,France,Male,39.0,2.0,0.0,2.0,1.0,0.0,197923.05,0.0 +593.0,Spain,Male,44.0,5.0,0.0,1.0,1.0,0.0,128046.98,1.0 +698.0,France,Female,46.0,0.0,0.0,2.0,1.0,1.0,125962.02,0.0 +543.0,Spain,Male,41.0,5.0,0.0,2.0,0.0,1.0,143980.29, +591.0,Spain,Female,27.0,5.0,107812.67,1.0,0.0,1.0,162501.83,0.0 +756.0,France,Female,26.0,5.0,101641.14,2.0,0.0,1.0,154460.68,0.0 +786.0,France,Female,29.0,4.0,0.0,2.0,1.0,0.0,103372.79,0.0 +600.0,Spain,Male,37.0,8.0,177657.35,1.0,1.0,1.0,77142.32,0.0 +802.0,Spain,Male,41.0,6.0,0.0,2.0,1.0,0.0,47322.05,0.0 +786.0,Spain,Male,29.0,7.0,80895.44,2.0,1.0,0.0,64945.57, +521.0,France,Female,41.0,2.0,0.0,2.0,1.0,1.0,113089.43, +715.0,France,Female,33.0,3.0,85227.84,1.0,1.0,1.0,68087.15,0.0 +636.0,France,Male,34.0,8.0,0.0,2.0,1.0,0.0,38570.13,0.0 +683.0,France,Male,43.0,8.0,0.0,1.0,1.0,0.0,96754.8,0.0 +423.0,France,Female,36.0,5.0,97665.61,1.0,1.0,0.0,118372.55,1.0 +783.0,Spain,Male,39.0,9.0,0.0,2.0,1.0,0.0,143752.77,0.0 +592.0,Spain,Male,37.0,9.0,0.0,3.0,1.0,1.0,10656.89,0.0 +621.0,France,Male,27.0,4.0,137003.68,1.0,1.0,0.0,21254.06, +468.0,Spain,Male,28.0,3.0,0.0,2.0,1.0,0.0,170661.02,0.0 +726.0,France,Female,38.0,5.0,126875.62,1.0,1.0,0.0,128052.29,0.0 +667.0,Germany,Male,33.0,9.0,124573.33,2.0,0.0,0.0,683.37, +643.0,France,Male,36.0,7.0,161064.64,2.0,0.0,1.0,84294.82,0.0 +779.0,Spain,Male,33.0,3.0,0.0,2.0,1.0,0.0,30804.68,0.0 +746.0,France,Female,29.0,4.0,105599.67,1.0,1.0,1.0,43106.17,0.0 +680.0,France,Male,31.0,10.0,113292.17,1.0,1.0,1.0,122639.73,0.0 +652.0,Germany,Male,45.0,2.0,151421.44,1.0,0.0,1.0,115333.43,0.0 +849.0,France,Male,35.0,4.0,110837.73,1.0,0.0,0.0,126419.8,0.0 +631.0,Germany,Male,48.0,1.0,106396.48,1.0,1.0,1.0,150661.42,0.0 +554.0,France,Female,35.0,10.0,74988.59,2.0,0.0,1.0,190155.13,0.0 +754.0,Germany,Male,35.0,6.0,98585.94,2.0,0.0,1.0,106116.84,0.0 +703.0,France,Female,40.0,7.0,0.0,2.0,0.0,1.0,122518.5,0.0 +782.0,France,Female,33.0,2.0,94493.03,1.0,0.0,1.0,101866.39,1.0 +653.0,France,Male,44.0,8.0,0.0,2.0,1.0,1.0,154639.72,0.0 +600.0,Germany,Male,53.0,7.0,106261.63,1.0,1.0,0.0,93629.66,1.0 +727.0,France,Male,34.0,10.0,0.0,2.0,1.0,1.0,198637.34,0.0 +703.0,Germany,Male,42.0,9.0,63227.0,1.0,0.0,1.0,137316.32,1.0 +590.0,Spain,Female,44.0,3.0,139432.37,1.0,1.0,0.0,62222.81,1.0 +637.0,France,Male,27.0,1.0,0.0,2.0,1.0,0.0,91291.2, +478.0,France,Female,50.0,2.0,0.0,1.0,0.0,1.0,93332.64, +694.0,France,Male,60.0,9.0,0.0,1.0,1.0,1.0,57088.97,0.0 +695.0,Spain,Male,44.0,8.0,0.0,2.0,1.0,1.0,70974.13,0.0 +629.0,Spain,Male,41.0,10.0,150148.51,1.0,0.0,0.0,6936.27, +672.0,France,Female,34.0,1.0,142151.75,2.0,1.0,1.0,168753.34,0.0 +773.0,France,Male,64.0,2.0,145578.28,1.0,0.0,1.0,186172.85,0.0 +545.0,Spain,Male,36.0,8.0,73211.12,2.0,1.0,0.0,89587.34,1.0 +850.0,Spain,Male,30.0,2.0,0.0,2.0,0.0,1.0,27937.12,0.0 +700.0,France,Female,36.0,4.0,0.0,2.0,1.0,0.0,130789.15,1.0 +714.0,France,Female,40.0,0.0,0.0,2.0,1.0,0.0,62762.12,0.0 +695.0,France,Female,42.0,5.0,0.0,1.0,0.0,1.0,72172.13,0.0 +651.0,France,Male,35.0,2.0,86911.8,1.0,1.0,0.0,174094.24,0.0 +704.0,Spain,Male,36.0,8.0,127397.34,1.0,1.0,0.0,151335.24,1.0 +750.0,Spain,Female,39.0,7.0,119565.92,1.0,1.0,0.0,87067.73,0.0 +738.0,Spain,Male,49.0,3.0,0.0,3.0,1.0,1.0,65066.48,0.0 +848.0,Germany,Female,40.0,5.0,148495.64,1.0,0.0,0.0,158853.98,0.0 +624.0,Spain,Male,51.0,5.0,174397.21,2.0,1.0,1.0,172372.63,1.0 +592.0,France,Male,54.0,8.0,0.0,1.0,1.0,1.0,28737.71,0.0 +756.0,France,Female,24.0,1.0,0.0,2.0,1.0,0.0,184182.25,0.0 +686.0,France,Male,41.0,5.0,128876.71,3.0,1.0,1.0,106939.34, +597.0,France,Female,26.0,8.0,149989.39,1.0,1.0,0.0,42330.58, +575.0,Spain,Male,28.0,7.0,0.0,1.0,1.0,1.0,10666.05,0.0 +501.0,France,Female,39.0,9.0,117301.66,1.0,0.0,0.0,182025.95,0.0 +668.0,France,Female,35.0,6.0,102482.76,1.0,1.0,1.0,53994.64,0.0 +553.0,France,Female,31.0,4.0,0.0,2.0,1.0,1.0,89087.4,0.0 +746.0,France,Female,24.0,4.0,0.0,1.0,0.0,1.0,94105.0,0.0 +651.0,France,Female,65.0,0.0,0.0,2.0,1.0,1.0,190454.04,1.0 +845.0,Spain,Female,38.0,2.0,112803.92,1.0,1.0,0.0,179631.85,1.0 +714.0,Germany,Male,33.0,3.0,35016.6,1.0,1.0,0.0,53667.08, +605.0,Spain,Male,39.0,10.0,105317.73,2.0,1.0,0.0,138021.36,1.0 +559.0,Spain,Female,27.0,1.0,0.0,1.0,0.0,1.0,1050.33,1.0 +635.0,Germany,Female,36.0,9.0,81231.85,2.0,1.0,0.0,196731.08, +755.0,France,Male,38.0,9.0,148912.44,1.0,1.0,0.0,80416.16,0.0 +784.0,Spain,Male,48.0,7.0,0.0,2.0,1.0,1.0,182609.97,0.0 +678.0,Spain,Male,38.0,3.0,124483.53,1.0,1.0,0.0,126253.31, +617.0,France,Female,28.0,0.0,0.0,2.0,1.0,1.0,7597.83,0.0 +659.0,Spain,Male,60.0,2.0,0.0,1.0,1.0,0.0,177480.45, +677.0,France,Female,56.0,0.0,119963.45,1.0,0.0,0.0,158325.87,1.0 +806.0,Germany,Female,59.0,0.0,135296.33,1.0,1.0,0.0,182822.5,0.0 +635.0,Germany,Female,28.0,3.0,81623.67,2.0,1.0,1.0,156791.36,0.0 +634.0,France,Male,26.0,8.0,0.0,1.0,1.0,0.0,21760.96,0.0 +425.0,Germany,Male,40.0,9.0,166776.6,2.0,0.0,1.0,172646.88, +644.0,France,Female,39.0,9.0,0.0,1.0,1.0,0.0,3740.93,0.0 +720.0,France,Male,71.0,5.0,183135.39,2.0,1.0,1.0,197688.5, +650.0,Spain,Male,55.0,9.0,119618.42,1.0,1.0,1.0,29861.13,0.0 +521.0,France,Female,39.0,6.0,0.0,2.0,0.0,1.0,27375.15,0.0 +598.0,France,Female,34.0,4.0,0.0,2.0,0.0,0.0,60894.26, +529.0,France,Female,38.0,2.0,0.0,1.0,1.0,0.0,146388.85,1.0 +574.0,Germany,Male,33.0,3.0,129834.67,1.0,1.0,0.0,193131.42,0.0 +619.0,Germany,Male,57.0,3.0,137946.39,1.0,1.0,1.0,72467.99,0.0 +727.0,Germany,Male,21.0,8.0,153344.72,1.0,1.0,1.0,163295.87,0.0 +753.0,Germany,Male,44.0,3.0,138076.47,1.0,1.0,0.0,15523.09,0.0 +678.0,Germany,Female,54.0,1.0,123699.28,2.0,0.0,1.0,105221.76,0.0 +554.0,Spain,Male,46.0,4.0,0.0,2.0,0.0,1.0,57320.92,0.0 +554.0,France,Female,35.0,8.0,0.0,2.0,1.0,1.0,176779.46,1.0 +774.0,France,Male,26.0,2.0,93844.69,1.0,1.0,0.0,28415.36,0.0 +593.0,France,Male,41.0,6.0,0.0,2.0,1.0,1.0,99136.49,0.0 +472.0,Spain,Female,32.0,1.0,159397.75,1.0,0.0,1.0,57323.18,0.0 +507.0,France,Male,41.0,3.0,58820.32,2.0,1.0,1.0,138536.09,0.0 +666.0,France,Male,40.0,5.0,0.0,2.0,1.0,0.0,147878.05,0.0 +519.0,France,Male,48.0,10.0,71083.98,1.0,1.0,0.0,137959.0, +772.0,Germany,Female,48.0,6.0,108736.52,1.0,1.0,0.0,184564.67,0.0 +628.0,Spain,Female,39.0,8.0,107553.33,1.0,1.0,0.0,117523.41,1.0 +720.0,Germany,Male,46.0,3.0,97042.6,1.0,1.0,1.0,133516.51,1.0 +716.0,France,Male,41.0,9.0,0.0,1.0,1.0,1.0,113267.48, +665.0,France,Male,28.0,8.0,191402.82,2.0,1.0,0.0,83238.4,0.0 +544.0,Spain,Male,22.0,3.0,66483.32,1.0,0.0,1.0,110317.39,0.0 +667.0,Spain,Female,34.0,5.0,0.0,2.0,1.0,0.0,163830.64,0.0 +603.0,Germany,Male,35.0,1.0,105346.03,2.0,1.0,1.0,130379.5,0.0 +673.0,France,Male,65.0,0.0,0.0,1.0,1.0,1.0,85733.33,0.0 +444.0,France,Male,43.0,3.0,0.0,2.0,1.0,1.0,159131.21, +571.0,France,Female,23.0,10.0,151097.28,1.0,0.0,1.0,17163.75,0.0 +583.0,Germany,Male,27.0,4.0,105907.42,2.0,1.0,1.0,195732.04,0.0 +717.0,France,Male,38.0,7.0,0.0,2.0,1.0,1.0,158580.05,0.0 +850.0,Germany,Female,66.0,0.0,127120.62,1.0,0.0,1.0,118929.64,0.0 +703.0,France,Male,44.0,6.0,98862.54,1.0,1.0,0.0,151516.7,0.0 +545.0,France,Male,47.0,8.0,105792.49,1.0,0.0,1.0,67830.2,0.0 +558.0,France,Female,45.0,1.0,153697.53,2.0,0.0,0.0,89891.4,0.0 +838.0,Spain,Female,39.0,5.0,166733.92,2.0,1.0,0.0,14279.44,0.0 +727.0,Germany,Female,30.0,8.0,119027.28,2.0,1.0,1.0,137903.54,0.0 +745.0,Spain,Female,54.0,8.0,0.0,1.0,1.0,0.0,173912.29,0.0 +847.0,Spain,Female,37.0,9.0,112712.17,1.0,1.0,0.0,116097.26,0.0 +552.0,Germany,Male,50.0,4.0,121175.56,1.0,1.0,0.0,117505.07,0.0 +753.0,Germany,Female,46.0,3.0,111512.75,3.0,1.0,0.0,159576.75,1.0 +842.0,France,Male,29.0,8.0,0.0,2.0,1.0,1.0,123437.05,0.0 +633.0,France,Female,34.0,3.0,123034.43,2.0,1.0,1.0,38315.04, +656.0,France,Male,45.0,5.0,127864.4,1.0,1.0,0.0,87107.57,0.0 +552.0,Germany,Female,42.0,8.0,103362.14,1.0,0.0,1.0,186869.58,0.0 +608.0,France,Female,33.0,4.0,0.0,1.0,1.0,0.0,79304.38,0.0 +605.0,France,Male,32.0,9.0,0.0,2.0,1.0,1.0,55724.24,0.0 +633.0,France,Female,39.0,9.0,129189.15,2.0,0.0,0.0,170998.83,0.0 +544.0,France,Female,40.0,7.0,0.0,1.0,0.0,1.0,161076.92,0.0 +507.0,Spain,Female,34.0,4.0,0.0,2.0,1.0,1.0,60688.38,1.0 +633.0,Germany,Male,40.0,5.0,86172.81,2.0,1.0,1.0,117279.49, +701.0,Spain,Male,59.0,7.0,0.0,2.0,0.0,1.0,27597.59,0.0 +627.0,Spain,Male,48.0,1.0,132759.8,1.0,1.0,0.0,78899.22,0.0 +691.0,Germany,Female,41.0,8.0,109153.96,3.0,1.0,1.0,148848.76,0.0 +496.0,France,Female,36.0,7.0,0.0,2.0,0.0,0.0,108098.28,0.0 +652.0,Spain,Male,28.0,8.0,156823.7,2.0,1.0,0.0,198251.52, +645.0,France,Male,29.0,1.0,130131.08,2.0,0.0,1.0,196474.35,1.0 +430.0,Germany,Male,49.0,3.0,137115.16,1.0,1.0,0.0,146516.86, +656.0,France,Female,39.0,6.0,0.0,2.0,1.0,0.0,141069.88,0.0 +678.0,Germany,Female,43.0,2.0,153393.18,2.0,1.0,1.0,193828.27,0.0 +507.0,France,Female,31.0,0.0,106942.08,1.0,0.0,1.0,44001.11,0.0 +592.0,France,Female,38.0,4.0,0.0,2.0,1.0,0.0,35338.96,0.0 +537.0,France,Male,28.0,0.0,88963.31,2.0,1.0,1.0,189839.93,0.0 +850.0,France,Male,42.0,0.0,0.0,2.0,1.0,0.0,44165.84,0.0 +659.0,Germany,Female,30.0,8.0,154159.51,1.0,1.0,0.0,40441.1,0.0 +711.0,France,Female,39.0,3.0,152462.79,1.0,1.0,0.0,90305.97, +680.0,France,Male,33.0,1.0,123082.08,1.0,1.0,0.0,134960.98,0.0 +802.0,France,Male,29.0,9.0,127414.55,1.0,1.0,1.0,134459.12, +776.0,Spain,Male,35.0,8.0,106365.29,1.0,1.0,1.0,148527.56,1.0 +696.0,France,Male,28.0,4.0,172646.82,1.0,1.0,1.0,116471.43,1.0 +726.0,France,Male,34.0,3.0,0.0,2.0,1.0,0.0,196288.46,0.0 +620.0,France,Male,28.0,9.0,71902.52,1.0,0.0,1.0,190208.23,0.0 +722.0,France,Female,38.0,3.0,0.0,2.0,0.0,1.0,167984.72,1.0 +530.0,France,Female,29.0,5.0,0.0,2.0,0.0,0.0,121451.21, +608.0,Germany,Male,23.0,8.0,197715.93,2.0,1.0,1.0,116124.28,0.0 +619.0,Germany,Male,23.0,5.0,132725.1,1.0,1.0,1.0,143913.33, +507.0,France,Female,35.0,1.0,0.0,2.0,0.0,0.0,92131.54,0.0 +674.0,France,Male,37.0,3.0,0.0,1.0,1.0,0.0,158049.9, +642.0,Germany,Female,36.0,2.0,124495.98,3.0,1.0,1.0,57904.22, +410.0,France,Male,33.0,6.0,125789.69,1.0,0.0,0.0,66333.56, +683.0,France,Female,29.0,0.0,157829.12,1.0,0.0,0.0,129891.66,0.0 +850.0,Spain,Female,24.0,1.0,0.0,2.0,0.0,1.0,69052.87,0.0 +730.0,France,Female,35.0,0.0,155470.55,1.0,1.0,1.0,53718.28,0.0 +607.0,Germany,Female,37.0,4.0,135927.06,1.0,0.0,0.0,180890.4,1.0 +659.0,Spain,Male,27.0,4.0,0.0,2.0,1.0,0.0,99341.87,0.0 +597.0,Spain,Female,30.0,2.0,119370.11,1.0,1.0,1.0,182726.22,0.0 +537.0,France,Female,38.0,10.0,0.0,1.0,0.0,0.0,52337.97,0.0 +577.0,France,Male,29.0,7.0,0.0,2.0,1.0,1.0,55473.15,1.0 +745.0,Germany,Male,51.0,3.0,99183.9,1.0,1.0,1.0,28922.25,0.0 +645.0,Spain,Male,36.0,4.0,59893.85,2.0,1.0,0.0,43999.64,0.0 +721.0,Spain,Male,51.0,0.0,169312.13,1.0,1.0,0.0,109078.35,0.0 +709.0,France,Female,34.0,2.0,111669.68,1.0,1.0,0.0,57029.66,0.0 +642.0,France,Male,62.0,7.0,0.0,2.0,1.0,1.0,61120.75, +597.0,Spain,Female,26.0,7.0,0.0,2.0,1.0,0.0,110253.2,0.0 +640.0,France,Female,30.0,6.0,107499.7,1.0,1.0,1.0,187632.22,0.0 +627.0,Germany,Female,30.0,6.0,57809.32,1.0,1.0,0.0,188258.49,1.0 +756.0,Germany,Male,27.0,1.0,131899.0,1.0,1.0,0.0,93302.29,0.0 +674.0,France,Male,22.0,3.0,0.0,1.0,1.0,1.0,173940.59,0.0 +433.0,France,Female,49.0,10.0,0.0,1.0,1.0,1.0,87711.61,0.0 +572.0,France,Male,30.0,6.0,117696.67,1.0,1.0,0.0,100843.82, +654.0,France,Male,40.0,6.0,0.0,1.0,0.0,0.0,183872.88,0.0 +538.0,France,Female,33.0,5.0,0.0,2.0,1.0,0.0,126962.41,0.0 +673.0,Germany,Female,34.0,1.0,127122.79,3.0,0.0,1.0,76703.1,1.0 +754.0,Germany,Female,39.0,8.0,129401.87,1.0,1.0,1.0,87684.93,0.0 +789.0,Germany,Male,39.0,7.0,124828.46,2.0,1.0,1.0,124411.08,0.0 +611.0,Germany,Male,37.0,1.0,117524.72,2.0,0.0,1.0,161064.29,0.0 +850.0,Germany,Male,51.0,4.0,124425.99,1.0,0.0,0.0,118545.49,0.0 +807.0,France,Female,36.0,4.0,0.0,2.0,0.0,1.0,147007.33,0.0 +496.0,Spain,Female,43.0,3.0,0.0,2.0,0.0,1.0,199505.53,0.0 +437.0,Spain,Male,28.0,2.0,109161.25,1.0,1.0,0.0,152987.42,1.0 +601.0,Germany,Female,54.0,1.0,131039.97,2.0,1.0,1.0,199661.5,0.0 +770.0,Germany,Female,46.0,5.0,141788.63,2.0,0.0,0.0,164967.21,0.0 +583.0,Germany,Female,41.0,5.0,77647.6,1.0,1.0,0.0,190429.52,0.0 +765.0,Germany,Male,37.0,7.0,102708.77,1.0,1.0,0.0,9087.81, +617.0,France,Female,35.0,2.0,104508.1,1.0,1.0,1.0,147636.46,1.0 +635.0,France,Male,29.0,1.0,0.0,1.0,0.0,1.0,24865.54,1.0 +628.0,Germany,Female,28.0,3.0,153538.13,2.0,1.0,0.0,110776.01,0.0 +493.0,France,Female,31.0,3.0,0.0,1.0,1.0,1.0,176570.28,0.0 +746.0,France,Male,36.0,7.0,142400.77,1.0,1.0,1.0,193438.69,0.0 +588.0,Spain,Female,35.0,7.0,0.0,2.0,1.0,1.0,108739.15,0.0 +850.0,France,Male,33.0,0.0,124781.67,1.0,0.0,1.0,33700.52,0.0 +737.0,Germany,Male,31.0,5.0,121192.22,2.0,1.0,1.0,74890.58,0.0 +818.0,Spain,Male,26.0,4.0,0.0,2.0,1.0,1.0,167036.94,0.0 +527.0,Spain,Female,29.0,2.0,27755.97,1.0,1.0,0.0,97468.44,0.0 +475.0,France,Female,46.0,10.0,0.0,2.0,0.0,0.0,122953.0,0.0 +697.0,France,Female,39.0,6.0,151553.19,1.0,1.0,1.0,44946.29,0.0 +714.0,Spain,Male,45.0,8.0,150900.29,2.0,0.0,1.0,139889.15,0.0 +683.0,Spain,Male,40.0,8.0,0.0,1.0,1.0,0.0,75848.22,0.0 +529.0,France,Male,46.0,8.0,0.0,1.0,0.0,0.0,126511.94,0.0 +742.0,France,Female,28.0,2.0,191864.51,1.0,1.0,0.0,108457.99,0.0 +647.0,Spain,Female,29.0,2.0,0.0,2.0,1.0,0.0,179032.68, +666.0,France,Male,53.0,5.0,64646.7,1.0,1.0,0.0,128019.48,1.0 +485.0,Spain,Female,21.0,5.0,113157.22,1.0,1.0,1.0,54141.5,0.0 +505.0,Germany,Male,43.0,5.0,136855.94,2.0,1.0,0.0,171070.52,0.0 +627.0,Spain,Male,40.0,10.0,0.0,2.0,1.0,1.0,194792.42, +799.0,France,Female,22.0,8.0,174185.98,2.0,0.0,1.0,192633.85,0.0 +645.0,Germany,Male,25.0,1.0,157404.02,2.0,1.0,0.0,93073.04,1.0 +628.0,Germany,Female,36.0,3.0,91286.51,1.0,1.0,0.0,63085.94,1.0 +638.0,France,Female,42.0,7.0,165679.92,1.0,0.0,0.0,32916.29,0.0 +850.0,Germany,Female,47.0,10.0,134381.52,1.0,0.0,0.0,26812.89,0.0 +668.0,Spain,Female,69.0,9.0,0.0,1.0,0.0,1.0,134483.07, +586.0,France,Female,43.0,8.0,132558.26,1.0,1.0,0.0,67046.83,0.0 +667.0,Spain,Female,23.0,6.0,136100.69,2.0,0.0,0.0,169669.33,0.0 +697.0,France,Male,42.0,9.0,132739.26,2.0,0.0,0.0,174667.65,0.0 +850.0,France,Male,20.0,7.0,0.0,2.0,1.0,0.0,31288.77,0.0 +634.0,Germany,Female,31.0,8.0,76798.92,1.0,0.0,0.0,196021.73,1.0 +829.0,Germany,Female,37.0,3.0,103457.76,1.0,0.0,0.0,1114.12,1.0 +497.0,Germany,Female,55.0,7.0,131778.66,1.0,1.0,1.0,9972.64,0.0 +594.0,Spain,Female,38.0,7.0,96858.35,1.0,1.0,0.0,77511.45,0.0 +502.0,Germany,Female,33.0,6.0,125241.17,2.0,1.0,1.0,158736.07,0.0 +749.0,France,Male,30.0,1.0,0.0,2.0,0.0,1.0,126551.65,1.0 +727.0,Spain,Female,31.0,10.0,96997.09,2.0,0.0,0.0,76614.04,0.0 +610.0,France,Female,57.0,7.0,72092.95,4.0,0.0,1.0,113228.82,0.0 +584.0,Germany,Male,42.0,3.0,137479.13,1.0,1.0,0.0,25669.1, +696.0,France,Female,41.0,8.0,0.0,2.0,0.0,0.0,28276.83,0.0 +850.0,Germany,Male,44.0,3.0,140393.65,2.0,0.0,1.0,186285.52,0.0 +556.0,Germany,Female,31.0,1.0,128663.81,2.0,1.0,0.0,125083.29, +707.0,France,Male,32.0,9.0,0.0,2.0,0.0,0.0,30807.02,1.0 +651.0,Spain,Female,46.0,4.0,89743.05,1.0,1.0,0.0,156425.57,0.0 +659.0,France,Female,50.0,3.0,0.0,1.0,1.0,0.0,183399.12, +681.0,Germany,Male,37.0,8.0,73179.34,2.0,1.0,1.0,25292.53,0.0 +445.0,Spain,Male,45.0,10.0,0.0,2.0,0.0,1.0,90977.48,0.0 +664.0,France,Female,36.0,0.0,103502.22,1.0,1.0,1.0,146191.82, +580.0,Germany,Female,33.0,7.0,131647.01,2.0,0.0,0.0,79775.19,0.0 +643.0,Spain,Male,34.0,6.0,0.0,2.0,1.0,1.0,116046.22,0.0 +723.0,France,Female,35.0,0.0,0.0,2.0,0.0,1.0,61290.99,0.0 +795.0,Germany,Female,33.0,9.0,104552.72,1.0,1.0,1.0,120853.83, +576.0,Germany,Male,46.0,4.0,137367.94,1.0,1.0,1.0,33450.11,0.0 +700.0,Spain,Male,44.0,9.0,0.0,2.0,1.0,0.0,142287.65, +538.0,France,Female,38.0,8.0,88758.95,2.0,0.0,0.0,28226.15,0.0 +850.0,Germany,Female,31.0,1.0,108822.4,1.0,1.0,1.0,132173.31,0.0 +519.0,Germany,Female,21.0,1.0,151701.45,3.0,1.0,1.0,170138.68, +545.0,Spain,Female,47.0,5.0,0.0,2.0,1.0,1.0,38970.14,1.0 +678.0,France,Male,38.0,3.0,0.0,2.0,1.0,0.0,66561.6,1.0 +663.0,France,Male,22.0,6.0,0.0,2.0,0.0,1.0,131827.15,1.0 +603.0,France,Male,38.0,8.0,59360.77,1.0,1.0,1.0,191457.06, +634.0,France,Female,37.0,7.0,51582.5,2.0,1.0,1.0,184312.88,0.0 +693.0,Spain,Male,28.0,1.0,145118.83,1.0,0.0,1.0,77742.38,0.0 +794.0,Germany,Male,57.0,3.0,117056.46,1.0,1.0,0.0,93336.93,0.0 +605.0,Germany,Male,28.0,10.0,113690.83,1.0,1.0,0.0,33114.24,0.0 +721.0,France,Male,36.0,1.0,155176.83,2.0,1.0,1.0,49653.37,0.0 +620.0,France,Female,29.0,1.0,138740.24,2.0,0.0,0.0,154700.61,0.0 +705.0,Spain,Female,40.0,5.0,203715.15,1.0,1.0,0.0,179978.68,1.0 +757.0,France,Male,28.0,7.0,120911.75,2.0,1.0,1.0,131249.46,0.0 +679.0,Spain,Male,39.0,5.0,0.0,2.0,1.0,1.0,100060.54, +837.0,France,Male,49.0,8.0,103302.37,1.0,1.0,1.0,50974.57,0.0 +561.0,France,Male,29.0,9.0,120268.13,1.0,1.0,1.0,173870.39,0.0 +712.0,Spain,Male,27.0,10.0,0.0,1.0,1.0,0.0,94544.88, +745.0,Germany,Male,36.0,8.0,145071.24,1.0,0.0,0.0,6078.46,0.0 +729.0,France,Male,44.0,6.0,0.0,2.0,1.0,0.0,151733.43,1.0 +584.0,Germany,Male,33.0,3.0,88311.48,2.0,1.0,1.0,177651.38,0.0 +458.0,Germany,Male,44.0,7.0,84386.57,1.0,1.0,0.0,178642.73,0.0 +813.0,France,Male,34.0,0.0,0.0,2.0,1.0,0.0,43169.15,0.0 +745.0,Spain,Male,40.0,3.0,88466.82,1.0,0.0,0.0,116331.42,1.0 +701.0,Spain,Male,26.0,5.0,83600.24,1.0,0.0,1.0,59195.05, +739.0,France,Female,20.0,4.0,133800.98,1.0,0.0,1.0,150245.81,0.0 +628.0,Germany,Female,61.0,1.0,97361.66,1.0,1.0,1.0,149922.38,0.0 +799.0,France,Female,30.0,9.0,0.0,2.0,1.0,0.0,136827.96,0.0 +760.0,Germany,Female,49.0,9.0,91502.99,1.0,1.0,0.0,117232.9,0.0 +620.0,Spain,Female,43.0,2.0,0.0,2.0,1.0,0.0,20670.1,0.0 +594.0,France,Female,31.0,0.0,79340.95,1.0,1.0,0.0,78255.86,1.0 +674.0,Germany,Female,44.0,4.0,131593.85,1.0,0.0,1.0,171345.02,1.0 +806.0,Germany,Male,34.0,2.0,96152.68,2.0,1.0,0.0,143711.02, +529.0,Spain,Male,63.0,4.0,96134.11,3.0,1.0,0.0,108732.96,0.0 +722.0,France,Male,46.0,6.0,0.0,1.0,1.0,1.0,93917.68,0.0 +428.0,Germany,Female,40.0,3.0,129248.11,2.0,1.0,0.0,72876.43,1.0 +809.0,Spain,Male,33.0,9.0,0.0,1.0,1.0,1.0,124045.65,0.0 +588.0,Spain,Male,59.0,4.0,0.0,2.0,1.0,1.0,27435.41,0.0 +550.0,Germany,Male,33.0,4.0,118400.91,1.0,0.0,1.0,13999.64,1.0 +614.0,France,Male,51.0,3.0,0.0,2.0,1.0,1.0,5552.37,0.0 +583.0,France,Male,27.0,7.0,0.0,2.0,1.0,0.0,51285.49,0.0 +705.0,France,Male,34.0,7.0,117715.84,1.0,1.0,0.0,2498.67,0.0 +487.0,France,Male,37.0,6.0,0.0,2.0,1.0,1.0,126477.41,0.0 +615.0,France,Male,32.0,4.0,0.0,2.0,1.0,1.0,6225.63,1.0 +821.0,Spain,Female,38.0,8.0,0.0,2.0,0.0,1.0,126241.4,1.0 +773.0,France,Male,41.0,4.0,0.0,2.0,1.0,1.0,24924.92,0.0 +720.0,Germany,Male,60.0,9.0,115920.62,2.0,0.0,0.0,157552.08,0.0 +703.0,France,Male,37.0,8.0,105961.68,2.0,0.0,1.0,74158.8,1.0 +527.0,France,Male,31.0,4.0,0.0,1.0,1.0,0.0,169361.89, +458.0,Germany,Female,28.0,2.0,171932.26,2.0,1.0,1.0,9578.24, +705.0,Germany,Female,64.0,3.0,153469.26,3.0,0.0,0.0,146573.66,0.0 +744.0,Spain,Male,30.0,1.0,128065.12,1.0,1.0,0.0,121525.48,1.0 +847.0,Germany,Female,41.0,3.0,101543.51,4.0,1.0,0.0,16025.17, +707.0,Spain,Female,32.0,4.0,132835.56,1.0,0.0,0.0,136877.24,0.0 +850.0,Germany,Female,32.0,0.0,116968.91,1.0,0.0,0.0,175094.62,0.0 +461.0,France,Female,40.0,7.0,0.0,2.0,1.0,0.0,176547.8,0.0 +829.0,France,Male,38.0,9.0,0.0,2.0,1.0,0.0,30529.88,0.0 +579.0,France,Male,36.0,9.0,129829.59,1.0,1.0,1.0,60906.12,0.0 +699.0,Germany,Male,32.0,1.0,123906.22,3.0,1.0,1.0,127443.82,0.0 +508.0,France,Female,43.0,9.0,0.0,1.0,1.0,0.0,103726.71,1.0 +542.0,Germany,Male,33.0,8.0,142871.27,2.0,0.0,0.0,77737.86,0.0 +705.0,Spain,Female,23.0,5.0,0.0,2.0,1.0,1.0,73131.73,0.0 +578.0,France,Male,46.0,5.0,113226.47,1.0,1.0,0.0,56770.76,1.0 +738.0,France,Female,38.0,7.0,0.0,2.0,0.0,0.0,69227.42,0.0 +757.0,Spain,Female,44.0,9.0,0.0,2.0,1.0,0.0,177528.92,0.0 +607.0,Germany,Male,47.0,4.0,148826.32,1.0,1.0,1.0,79450.61,1.0 +582.0,Germany,Male,33.0,2.0,122394.0,1.0,1.0,1.0,22113.93, +636.0,Germany,Male,36.0,6.0,96643.32,1.0,0.0,0.0,182059.28,0.0 +633.0,Germany,Male,50.0,7.0,88302.65,1.0,1.0,1.0,195937.16,0.0 +585.0,Germany,Female,39.0,7.0,165610.41,2.0,0.0,0.0,131852.01,0.0 +718.0,Spain,Female,39.0,2.0,0.0,1.0,1.0,1.0,52138.49, +610.0,Spain,Female,45.0,3.0,0.0,1.0,1.0,0.0,38276.84,0.0 +788.0,Spain,Male,36.0,10.0,109632.85,1.0,1.0,1.0,16149.13, +589.0,France,Female,31.0,10.0,110635.32,1.0,1.0,0.0,148218.86,0.0 +695.0,Spain,Female,39.0,5.0,0.0,2.0,0.0,0.0,102763.69,0.0 +653.0,France,Female,27.0,9.0,0.0,2.0,1.0,0.0,96429.29,0.0 +513.0,Spain,Male,72.0,3.0,98903.06,1.0,1.0,1.0,81251.24,1.0 +597.0,Spain,Female,40.0,8.0,101993.12,1.0,0.0,1.0,94774.12,0.0 +531.0,France,Female,63.0,1.0,114715.71,1.0,0.0,1.0,24506.95,0.0 +696.0,Spain,Female,36.0,3.0,0.0,3.0,1.0,0.0,65039.9,0.0 +750.0,Spain,Female,36.0,6.0,0.0,2.0,1.0,1.0,59816.41, +678.0,Germany,Male,23.0,10.0,115563.71,1.0,1.0,1.0,91633.53,1.0 +718.0,Germany,Male,26.0,7.0,147527.03,1.0,0.0,0.0,51099.56,0.0 +744.0,France,Female,38.0,9.0,0.0,2.0,0.0,0.0,20940.76,0.0 +593.0,Germany,Female,29.0,5.0,101713.84,3.0,1.0,0.0,134594.99,0.0 +496.0,Spain,Female,44.0,0.0,179356.28,2.0,1.0,0.0,2919.21, +629.0,Spain,Male,32.0,3.0,0.0,2.0,1.0,1.0,15404.64,0.0 +534.0,Spain,Male,34.0,5.0,170600.78,1.0,0.0,1.0,5240.53, +808.0,France,Male,45.0,7.0,118626.55,2.0,1.0,0.0,147132.46,1.0 +525.0,Spain,Female,57.0,2.0,145965.33,1.0,1.0,1.0,64448.36,1.0 +634.0,Spain,Male,52.0,1.0,0.0,2.0,1.0,1.0,176913.42, +495.0,Germany,Female,34.0,9.0,117160.32,1.0,1.0,1.0,116069.24,0.0 +756.0,France,Male,37.0,3.0,132623.6,1.0,1.0,1.0,58974.0,0.0 +350.0,France,Female,60.0,3.0,0.0,1.0,0.0,0.0,113796.15, +662.0,Spain,Male,20.0,9.0,104508.77,2.0,0.0,0.0,73107.53,0.0 +782.0,Spain,Male,23.0,10.0,98052.66,1.0,1.0,1.0,142587.32,0.0 +589.0,France,Male,36.0,1.0,100895.54,1.0,1.0,1.0,68075.14,0.0 +608.0,France,Male,42.0,5.0,0.0,2.0,1.0,0.0,178504.29,0.0 +648.0,France,Male,23.0,9.0,168372.52,1.0,1.0,0.0,134676.72,0.0 +584.0,France,Female,44.0,5.0,95671.75,2.0,1.0,1.0,106564.88,0.0 +477.0,Germany,Female,36.0,3.0,117700.86,1.0,0.0,0.0,74042.0,0.0 +420.0,Germany,Female,34.0,1.0,135549.9,1.0,0.0,0.0,149471.13,1.0 +808.0,France,Female,33.0,2.0,103516.87,1.0,1.0,0.0,113907.8, +717.0,France,Male,31.0,4.0,129722.57,1.0,0.0,0.0,41176.6,0.0 +626.0,France,Female,34.0,3.0,0.0,2.0,1.0,1.0,37870.29, +505.0,Germany,Female,25.0,5.0,114268.85,2.0,1.0,1.0,126728.27, +683.0,France,Male,30.0,8.0,110829.52,2.0,0.0,0.0,24938.84,0.0 +681.0,France,Female,63.0,7.0,0.0,2.0,1.0,1.0,55054.48,0.0 +552.0,France,Male,33.0,5.0,140931.57,1.0,0.0,1.0,10921.5,0.0 +850.0,Spain,Female,31.0,4.0,91292.7,1.0,1.0,1.0,162149.07,0.0 +844.0,France,Male,38.0,7.0,111501.66,1.0,1.0,1.0,119333.38,0.0 +716.0,Germany,Female,39.0,10.0,115301.31,1.0,1.0,0.0,43527.4,0.0 +810.0,France,Male,32.0,9.0,120879.73,2.0,0.0,1.0,78896.59, +644.0,France,Male,38.0,3.0,0.0,2.0,1.0,1.0,79928.41,0.0 +743.0,Spain,Male,43.0,2.0,161807.18,2.0,0.0,1.0,93228.86,0.0 +584.0,France,Male,31.0,5.0,0.0,2.0,1.0,0.0,31474.27,0.0 +508.0,France,Male,49.0,1.0,93817.41,2.0,1.0,1.0,132468.76, +741.0,France,Female,44.0,7.0,0.0,2.0,1.0,1.0,190534.76,0.0 +558.0,France,Male,40.0,6.0,0.0,2.0,1.0,0.0,173844.89,1.0 +613.0,Germany,Female,45.0,9.0,142765.24,2.0,1.0,0.0,34749.65, +580.0,Germany,Female,36.0,3.0,74974.89,1.0,1.0,1.0,12099.67,0.0 +500.0,France,Female,34.0,6.0,0.0,1.0,1.0,1.0,140268.45,0.0 +678.0,Spain,Female,49.0,8.0,0.0,2.0,0.0,1.0,98090.69,0.0 +613.0,France,Male,26.0,4.0,100446.57,1.0,0.0,1.0,149653.81,1.0 +647.0,France,Female,40.0,9.0,0.0,2.0,0.0,1.0,92357.21,0.0 +703.0,France,Female,45.0,7.0,0.0,2.0,1.0,1.0,68831.72,0.0 +470.0,Spain,Male,30.0,4.0,125385.01,1.0,1.0,0.0,68293.93,0.0 +663.0,France,Female,42.0,1.0,82228.67,2.0,1.0,0.0,71359.78,0.0 +517.0,Spain,Male,39.0,3.0,0.0,2.0,0.0,1.0,12465.51,0.0 +808.0,France,Male,32.0,1.0,0.0,2.0,1.0,1.0,46200.71,0.0 +778.0,France,Male,24.0,4.0,0.0,2.0,1.0,1.0,162809.2, +766.0,Germany,Male,37.0,2.0,99660.13,2.0,0.0,1.0,147700.78,0.0 +788.0,Spain,Male,37.0,8.0,141541.25,1.0,0.0,0.0,66013.27,0.0 +590.0,Spain,Female,29.0,10.0,99250.08,1.0,1.0,1.0,129629.41, +678.0,Germany,Male,36.0,6.0,118448.15,2.0,1.0,0.0,53172.02, +658.0,Germany,Female,31.0,3.0,133003.03,1.0,0.0,1.0,146339.27,0.0 +711.0,France,Female,38.0,2.0,129022.06,2.0,1.0,1.0,14374.86,0.0 +489.0,Germany,Female,52.0,1.0,131441.51,1.0,1.0,0.0,37240.11,1.0 +613.0,France,Male,36.0,9.0,131307.11,1.0,0.0,0.0,83343.73, +602.0,Germany,Female,53.0,5.0,98268.84,1.0,0.0,1.0,45038.29,1.0 +569.0,Germany,Female,28.0,3.0,100032.52,1.0,1.0,0.0,5159.21,0.0 +675.0,France,Female,38.0,6.0,68065.8,1.0,0.0,0.0,138777.0,0.0 +699.0,Germany,Female,51.0,2.0,92246.14,2.0,0.0,1.0,91346.03,0.0 +768.0,France,Female,28.0,3.0,109118.05,2.0,0.0,1.0,50911.41,0.0 +717.0,France,Male,53.0,6.0,0.0,2.0,0.0,1.0,97614.87,0.0 +774.0,Spain,Male,32.0,9.0,0.0,2.0,1.0,0.0,10604.48,0.0 +606.0,Germany,Female,47.0,0.0,137138.2,2.0,0.0,1.0,53784.22,0.0 +828.0,France,Male,37.0,4.0,0.0,2.0,1.0,0.0,94845.45,0.0 +655.0,Germany,Male,67.0,6.0,148363.38,1.0,1.0,1.0,186995.17, +479.0,Germany,Female,23.0,9.0,123575.51,1.0,0.0,1.0,95148.28,1.0 +753.0,France,Female,40.0,0.0,3768.69,2.0,1.0,0.0,177065.24, +671.0,Spain,Male,34.0,10.0,153360.02,1.0,1.0,0.0,140509.86,1.0 +540.0,France,Male,41.0,3.0,0.0,2.0,1.0,0.0,121098.65, +682.0,France,Female,26.0,0.0,110654.02,1.0,0.0,1.0,111879.21,0.0 +580.0,Germany,Male,24.0,1.0,133811.78,1.0,1.0,0.0,17185.95,1.0 +776.0,Germany,Female,37.0,2.0,103769.22,2.0,1.0,0.0,194099.12,0.0 +553.0,Spain,Male,41.0,6.0,144974.55,1.0,1.0,1.0,19344.92,1.0 +664.0,France,Male,40.0,7.0,125608.72,1.0,1.0,0.0,122073.48,0.0 +787.0,Germany,Male,43.0,0.0,132217.45,1.0,1.0,0.0,20955.03, +610.0,France,Female,27.0,9.0,159561.93,1.0,0.0,1.0,103381.47, +586.0,France,Female,35.0,7.0,0.0,2.0,1.0,0.0,70760.69,1.0 +684.0,Spain,Female,42.0,3.0,103210.27,1.0,1.0,0.0,31002.03,1.0 +516.0,Spain,Female,45.0,8.0,109044.3,1.0,0.0,1.0,115818.16,0.0 +689.0,Germany,Female,30.0,5.0,136650.89,1.0,1.0,1.0,41865.72,0.0 +593.0,Spain,Female,45.0,6.0,79259.75,1.0,1.0,0.0,55347.28,1.0 +629.0,Spain,Male,36.0,1.0,161757.87,2.0,1.0,1.0,146371.72,0.0 +569.0,Spain,Male,41.0,2.0,0.0,2.0,1.0,0.0,134272.57, +522.0,Germany,Female,37.0,3.0,95022.57,1.0,1.0,1.0,129107.59,0.0 +845.0,France,Female,28.0,9.0,0.0,2.0,1.0,1.0,56185.98, +567.0,Spain,Male,29.0,8.0,0.0,2.0,1.0,0.0,156125.72,0.0 +850.0,France,Female,35.0,5.0,0.0,1.0,1.0,1.0,80992.8,1.0 +670.0,Spain,Male,25.0,6.0,0.0,2.0,1.0,1.0,78358.94,1.0 +556.0,France,Female,46.0,10.0,0.0,2.0,0.0,0.0,109184.24,0.0 +537.0,France,Male,47.0,10.0,0.0,2.0,0.0,1.0,25482.62,1.0 +626.0,France,Female,35.0,3.0,0.0,1.0,0.0,0.0,80190.36,0.0 +489.0,France,Female,31.0,7.0,139395.08,1.0,0.0,1.0,6120.84,0.0 +538.0,France,Male,37.0,1.0,134752.08,1.0,1.0,0.0,162511.55,0.0 +573.0,France,Male,27.0,2.0,128243.03,1.0,1.0,1.0,11631.34,1.0 +647.0,Spain,Female,64.0,1.0,91216.0,1.0,1.0,1.0,41800.18,0.0 +789.0,France,Female,27.0,8.0,66201.96,1.0,1.0,1.0,79458.12,0.0 +670.0,Spain,Male,35.0,2.0,124268.64,2.0,0.0,1.0,84321.03,0.0 +696.0,Germany,Male,30.0,4.0,114027.7,1.0,1.0,1.0,193716.56,0.0 +665.0,France,Female,40.0,6.0,0.0,1.0,1.0,1.0,161848.03,0.0 +506.0,France,Female,32.0,3.0,0.0,1.0,1.0,1.0,80823.02,0.0 +671.0,France,Female,31.0,6.0,0.0,2.0,1.0,1.0,15846.42, +683.0,Spain,Male,40.0,4.0,95053.1,1.0,1.0,1.0,116816.54, +687.0,Germany,Female,34.0,7.0,111388.18,2.0,1.0,0.0,148564.76,1.0 +667.0,France,Female,38.0,6.0,144432.04,1.0,1.0,1.0,73963.17,0.0 +570.0,France,Female,30.0,10.0,176173.52,1.0,1.0,0.0,97045.32,1.0 +664.0,France,Male,57.0,6.0,0.0,2.0,1.0,1.0,15304.08,0.0 +701.0,France,Male,37.0,8.0,130091.5,1.0,1.0,1.0,120031.29,0.0 +687.0,Spain,Female,29.0,7.0,93617.07,1.0,0.0,1.0,113050.92, +558.0,France,Male,27.0,1.0,152283.39,1.0,1.0,0.0,183271.15,0.0 +583.0,Germany,Male,39.0,8.0,102945.01,1.0,0.0,0.0,52861.89,0.0 +621.0,France,Female,50.0,5.0,0.0,2.0,1.0,0.0,191756.54, +724.0,Germany,Male,41.0,2.0,127892.57,2.0,0.0,1.0,199645.45,0.0 +635.0,France,Male,33.0,1.0,0.0,3.0,0.0,0.0,178067.33, +663.0,Germany,Female,46.0,2.0,141726.88,1.0,1.0,1.0,58257.23, +832.0,Spain,Female,34.0,6.0,138190.13,2.0,0.0,1.0,146511.2,1.0 +787.0,France,Male,33.0,1.0,126588.81,2.0,0.0,1.0,62163.53,0.0 +551.0,France,Female,38.0,10.0,0.0,2.0,1.0,1.0,216.27,0.0 +672.0,Germany,Female,21.0,1.0,35741.69,1.0,1.0,0.0,28789.94,1.0 +434.0,Spain,Male,55.0,6.0,0.0,1.0,0.0,1.0,73562.05, +560.0,Spain,Female,27.0,7.0,124995.98,1.0,1.0,1.0,114669.79,0.0 +592.0,France,Female,34.0,9.0,0.0,2.0,1.0,1.0,20460.2,0.0 +687.0,Spain,Male,38.0,8.0,69434.4,2.0,1.0,1.0,66580.13, +709.0,France,Female,24.0,3.0,110949.41,1.0,1.0,1.0,168515.61,0.0 +605.0,France,Male,39.0,3.0,0.0,2.0,1.0,0.0,199390.45,0.0 +635.0,Germany,Female,65.0,5.0,117325.54,1.0,1.0,0.0,155799.86,0.0 +841.0,France,Female,31.0,3.0,162701.65,2.0,1.0,1.0,126794.56,0.0 +811.0,France,Male,42.0,10.0,0.0,2.0,1.0,1.0,3797.79,0.0 +603.0,France,Male,31.0,1.0,129743.75,1.0,1.0,0.0,109145.2,0.0 +640.0,Germany,Female,31.0,10.0,118613.34,1.0,1.0,0.0,168469.65, +618.0,France,Male,37.0,5.0,0.0,1.0,0.0,1.0,178705.45,0.0 +850.0,France,Male,28.0,4.0,0.0,2.0,1.0,1.0,12409.01,0.0 +718.0,France,Female,29.0,3.0,0.0,1.0,0.0,1.0,134462.29,0.0 +729.0,Spain,Female,42.0,7.0,0.0,2.0,1.0,0.0,58268.2,0.0 +579.0,Spain,Female,35.0,1.0,129490.36,2.0,0.0,1.0,8590.83,0.0 +706.0,Spain,Male,20.0,8.0,0.0,2.0,1.0,1.0,12368.11,1.0 +741.0,Germany,Female,37.0,8.0,170840.08,2.0,0.0,0.0,109843.16,0.0 +608.0,Spain,Female,28.0,4.0,0.0,2.0,1.0,0.0,10899.63,0.0 +539.0,Spain,Male,36.0,6.0,0.0,3.0,1.0,1.0,118959.64,0.0 +642.0,France,Male,26.0,1.0,138023.79,2.0,0.0,1.0,117060.2,0.0 +826.0,France,Female,49.0,0.0,0.0,1.0,0.0,0.0,178709.98,0.0 +620.0,France,Male,36.0,8.0,0.0,2.0,1.0,1.0,145937.99,0.0 +490.0,Spain,Male,31.0,3.0,145260.23,1.0,0.0,1.0,114066.77,0.0 +646.0,Germany,Female,29.0,4.0,105957.44,1.0,1.0,0.0,15470.91,1.0 +606.0,France,Male,40.0,6.0,119501.88,2.0,1.0,0.0,46774.94,0.0 +753.0,France,Female,62.0,6.0,0.0,2.0,1.0,1.0,136398.9,0.0 +682.0,Spain,Female,48.0,9.0,101198.01,1.0,1.0,1.0,49732.9,0.0 +634.0,France,Male,34.0,3.0,145030.92,1.0,1.0,1.0,41820.65, +615.0,Spain,Male,41.0,4.0,0.0,1.0,0.0,1.0,149278.96,0.0 +691.0,Spain,Male,21.0,3.0,103000.94,1.0,1.0,1.0,104648.58,0.0 +796.0,Germany,Male,39.0,5.0,86350.87,2.0,0.0,0.0,105080.53,0.0 +620.0,France,Female,29.0,3.0,0.0,2.0,0.0,1.0,153392.28,0.0 +667.0,Germany,Female,48.0,1.0,97133.92,2.0,0.0,0.0,113316.77,0.0 +479.0,Spain,Male,37.0,6.0,118433.94,1.0,0.0,1.0,160060.9,0.0 +534.0,France,Male,35.0,2.0,81951.74,2.0,1.0,0.0,115668.53,0.0 +634.0,Spain,Male,31.0,9.0,108632.48,1.0,1.0,1.0,179485.96,0.0 +721.0,France,Female,55.0,3.0,44020.89,1.0,1.0,0.0,65864.4,0.0 +680.0,Spain,Female,58.0,8.0,0.0,2.0,1.0,1.0,65708.5,0.0 +683.0,France,Female,35.0,6.0,187530.66,2.0,1.0,1.0,37976.36,0.0 +600.0,France,Male,49.0,7.0,90218.9,1.0,1.0,0.0,91347.76,0.0 +675.0,Spain,Male,33.0,3.0,0.0,2.0,1.0,0.0,45348.08,1.0 +730.0,Spain,Male,62.0,2.0,0.0,2.0,1.0,1.0,186489.95,0.0 +551.0,France,Male,52.0,1.0,0.0,1.0,0.0,0.0,63584.55,0.0 +781.0,France,Female,19.0,3.0,0.0,2.0,1.0,1.0,124297.32,1.0 +771.0,Spain,Female,47.0,3.0,72664.0,2.0,1.0,1.0,107874.39, +516.0,France,Female,29.0,2.0,104982.57,1.0,1.0,0.0,157378.5,0.0 +691.0,France,Male,34.0,8.0,133936.04,2.0,1.0,0.0,91359.79,0.0 +493.0,France,Male,36.0,9.0,0.0,2.0,1.0,1.0,65816.53,1.0 +637.0,Germany,Female,36.0,10.0,145750.45,2.0,1.0,1.0,96660.76,0.0 +753.0,Germany,Female,46.0,9.0,113909.69,3.0,1.0,0.0,92320.37, +615.0,France,Male,45.0,5.0,0.0,2.0,1.0,1.0,164886.64, +414.0,France,Male,38.0,8.0,0.0,1.0,0.0,1.0,77661.12,0.0 +658.0,Spain,Male,50.0,2.0,0.0,2.0,1.0,0.0,52137.73,0.0 +718.0,France,Female,39.0,3.0,0.0,2.0,1.0,1.0,145355.11,0.0 +747.0,France,Male,27.0,10.0,0.0,2.0,0.0,0.0,13007.89,0.0 +621.0,Spain,Female,43.0,8.0,0.0,1.0,0.0,0.0,102806.6,0.0 +613.0,Germany,Male,40.0,1.0,147856.82,3.0,0.0,0.0,107961.11,0.0 +678.0,France,Female,28.0,4.0,0.0,2.0,1.0,1.0,144423.17,0.0 +735.0,Spain,Male,34.0,5.0,0.0,2.0,0.0,0.0,71095.41,0.0 +679.0,France,Male,60.0,6.0,0.0,2.0,1.0,1.0,77331.77,0.0 +749.0,Spain,Male,42.0,9.0,222267.63,1.0,0.0,0.0,101108.85, +670.0,Spain,Male,30.0,3.0,133446.34,1.0,0.0,0.0,3154.95,0.0 +683.0,France,Female,42.0,8.0,0.0,2.0,0.0,1.0,198134.9,0.0 +802.0,France,Male,33.0,8.0,0.0,2.0,1.0,0.0,143706.18,0.0 +582.0,France,Female,29.0,0.0,0.0,1.0,1.0,1.0,84012.81,0.0 +747.0,France,Female,47.0,5.0,139914.6,4.0,0.0,1.0,129964.56,0.0 +731.0,France,Female,38.0,10.0,123711.73,2.0,1.0,0.0,171340.68,0.0 +850.0,France,Female,35.0,9.0,0.0,2.0,0.0,0.0,25329.48, +724.0,Germany,Male,30.0,7.0,115315.04,1.0,1.0,0.0,15216.53,0.0 +639.0,France,Male,77.0,6.0,80926.02,2.0,1.0,1.0,55829.25,0.0 +673.0,France,Male,31.0,1.0,108345.22,1.0,0.0,1.0,38802.03, +647.0,Germany,Female,51.0,1.0,119741.77,2.0,0.0,0.0,54954.51,1.0 +759.0,France,Female,33.0,9.0,160541.36,2.0,0.0,0.0,93541.14,0.0 +709.0,France,Male,39.0,8.0,0.0,2.0,1.0,0.0,56214.09,0.0 +576.0,France,Male,36.0,6.0,0.0,2.0,1.0,1.0,48314.0,0.0 +744.0,Spain,Male,31.0,0.0,117551.23,1.0,1.0,0.0,158958.9,1.0 +731.0,Germany,Female,49.0,4.0,88826.07,1.0,1.0,1.0,33759.41,0.0 +583.0,France,Male,39.0,1.0,129299.28,2.0,1.0,0.0,73107.6,0.0 +597.0,Germany,Female,40.0,9.0,106756.01,2.0,1.0,0.0,151167.94,0.0 +586.0,France,Male,32.0,1.0,0.0,2.0,0.0,0.0,31635.99,0.0 +608.0,France,Male,37.0,5.0,146093.39,2.0,0.0,0.0,160593.41, +582.0,France,Male,20.0,4.0,0.0,1.0,1.0,1.0,55763.66,0.0 +630.0,France,Male,37.0,6.0,0.0,2.0,1.0,1.0,82647.65,0.0 +842.0,Spain,Female,44.0,2.0,112652.08,2.0,1.0,0.0,126644.98,0.0 +836.0,Spain,Female,37.0,10.0,0.0,2.0,1.0,0.0,111324.41,0.0 +506.0,Spain,Male,50.0,3.0,0.0,2.0,1.0,0.0,12016.79,0.0 +382.0,Spain,Male,36.0,0.0,0.0,1.0,1.0,1.0,179540.73, +488.0,France,Male,34.0,3.0,0.0,2.0,1.0,1.0,125979.36,1.0 +726.0,Spain,Female,56.0,2.0,105473.74,1.0,1.0,1.0,46044.7, +627.0,France,Female,27.0,2.0,0.0,2.0,1.0,0.0,125451.01, +768.0,Germany,Female,47.0,5.0,104552.61,1.0,1.0,0.0,48137.08, +667.0,Spain,Female,36.0,3.0,121542.57,2.0,1.0,1.0,186841.71,0.0 +545.0,Germany,Male,45.0,6.0,93796.42,2.0,1.0,1.0,162321.26,0.0 +577.0,France,Female,30.0,8.0,92472.1,2.0,0.0,1.0,126434.61, +540.0,France,Female,40.0,3.0,165298.12,1.0,0.0,1.0,199862.75,0.0 +447.0,France,Female,32.0,10.0,0.0,1.0,1.0,1.0,151815.76,0.0 +762.0,France,Male,28.0,2.0,0.0,2.0,1.0,0.0,167909.52,1.0 +750.0,Germany,Female,52.0,6.0,107467.56,1.0,1.0,0.0,126233.18,1.0 +850.0,Spain,Male,62.0,5.0,0.0,2.0,1.0,1.0,180243.56,0.0 +595.0,Spain,Male,23.0,7.0,0.0,2.0,1.0,1.0,168085.97, +628.0,Germany,Female,45.0,6.0,53667.44,1.0,1.0,0.0,115022.94,0.0 +702.0,Spain,Male,43.0,6.0,116121.67,1.0,1.0,0.0,61602.42, +683.0,Germany,Male,73.0,9.0,124730.26,1.0,1.0,1.0,51999.5,0.0 +503.0,Spain,Male,32.0,9.0,100262.88,2.0,1.0,1.0,157921.25,0.0 +760.0,Spain,Male,43.0,6.0,175735.5,1.0,1.0,1.0,157337.29, +412.0,France,Male,29.0,5.0,0.0,2.0,0.0,0.0,12510.53, +503.0,Spain,Male,31.0,4.0,0.0,2.0,1.0,1.0,21645.06,0.0 +569.0,Germany,Male,30.0,6.0,106629.49,1.0,0.0,1.0,44114.88, +791.0,Germany,Female,33.0,10.0,130229.71,2.0,0.0,0.0,54019.93, +593.0,Germany,Male,74.0,5.0,161434.36,2.0,1.0,1.0,65532.17,0.0 +564.0,France,Female,36.0,7.0,206329.65,1.0,1.0,1.0,46632.87,0.0 +558.0,Germany,Male,32.0,4.0,108235.91,1.0,1.0,1.0,143783.28,0.0 +599.0,Spain,Female,49.0,2.0,0.0,2.0,1.0,0.0,111190.53,0.0 +551.0,France,Male,42.0,2.0,139561.46,1.0,1.0,0.0,43435.43,0.0 +850.0,Germany,Male,44.0,2.0,112755.34,2.0,0.0,0.0,158171.36, +448.0,France,Female,36.0,6.0,83947.12,2.0,1.0,0.0,81999.53,0.0 +573.0,Germany,Female,47.0,4.0,152522.47,1.0,0.0,1.0,164038.07,0.0 +525.0,France,Male,36.0,2.0,114628.4,1.0,0.0,1.0,168290.06,0.0 +607.0,France,Female,27.0,2.0,0.0,2.0,1.0,0.0,63495.86,0.0 +763.0,Spain,Female,37.0,6.0,0.0,2.0,1.0,1.0,149705.25,0.0 +845.0,France,Male,33.0,8.0,164385.53,1.0,1.0,0.0,150664.97,0.0 +594.0,France,Male,35.0,2.0,133853.27,1.0,1.0,1.0,65361.66,1.0 +601.0,Spain,Female,20.0,9.0,122446.61,2.0,1.0,0.0,86791.9,0.0 +765.0,Germany,Female,46.0,8.0,119492.88,2.0,0.0,1.0,166896.01, +739.0,France,Male,42.0,2.0,141642.92,2.0,1.0,0.0,172149.76, +547.0,Germany,Male,41.0,3.0,151191.31,1.0,1.0,0.0,175295.89,0.0 +734.0,France,Male,37.0,3.0,80387.81,1.0,0.0,1.0,77272.62,1.0 +722.0,France,Male,37.0,2.0,0.0,1.0,0.0,0.0,120906.83,0.0 +629.0,France,Female,61.0,6.0,0.0,2.0,1.0,1.0,133672.61, +531.0,Spain,Male,37.0,1.0,143407.29,2.0,0.0,1.0,84402.46,0.0 +582.0,France,Female,38.0,9.0,135979.01,4.0,1.0,1.0,76582.95, +716.0,France,Female,44.0,1.0,0.0,1.0,1.0,1.0,152108.47,0.0 +573.0,France,Male,40.0,7.0,147754.68,1.0,1.0,1.0,110454.46,1.0 +676.0,France,Female,43.0,2.0,0.0,1.0,1.0,1.0,55119.53,0.0 +733.0,France,Female,24.0,3.0,161884.99,1.0,1.0,1.0,9617.24,0.0 +608.0,France,Female,62.0,8.0,144976.5,1.0,0.0,0.0,175836.03,0.0 +599.0,Spain,Female,37.0,2.0,0.0,2.0,1.0,1.0,143739.29,1.0 +503.0,France,Male,42.0,8.0,104430.08,1.0,1.0,1.0,147557.71,0.0 +564.0,Spain,Male,31.0,0.0,125175.58,1.0,1.0,1.0,72757.33, +850.0,Germany,Male,28.0,2.0,101100.22,2.0,1.0,1.0,35337.31, +572.0,France,Female,47.0,2.0,0.0,2.0,1.0,0.0,36099.7,0.0 +766.0,Germany,Female,45.0,6.0,97652.96,1.0,1.0,0.0,127332.33,0.0 +646.0,France,Female,33.0,2.0,0.0,2.0,0.0,0.0,198208.0,0.0 +644.0,France,Male,50.0,9.0,76817.0,4.0,1.0,0.0,196371.13, +597.0,Germany,Male,52.0,8.0,83693.34,2.0,1.0,1.0,161083.53,0.0 +558.0,Germany,Male,41.0,2.0,124227.14,1.0,1.0,1.0,111184.67,0.0 +529.0,France,Female,31.0,2.0,164003.05,2.0,1.0,1.0,60993.23,1.0 +723.0,Germany,Female,68.0,3.0,110357.0,1.0,0.0,0.0,141977.54,1.0 +633.0,France,Female,29.0,7.0,169988.35,1.0,1.0,0.0,4272.0,0.0 +520.0,France,Male,58.0,3.0,0.0,2.0,0.0,1.0,32790.02,0.0 +716.0,Germany,Female,18.0,3.0,128743.8,1.0,0.0,0.0,197322.13,0.0 +544.0,France,Female,33.0,6.0,0.0,2.0,1.0,1.0,124113.04,0.0 +796.0,France,Female,50.0,1.0,94164.0,1.0,1.0,1.0,189414.74,0.0 +756.0,Germany,Female,34.0,2.0,148200.72,1.0,0.0,0.0,194584.48,0.0 +649.0,France,Male,37.0,9.0,87374.88,2.0,1.0,1.0,247.36,1.0 +700.0,Spain,Female,40.0,2.0,0.0,2.0,1.0,0.0,199753.97, +669.0,France,Male,30.0,7.0,95128.86,1.0,0.0,0.0,19799.26,0.0 +710.0,Spain,Male,22.0,8.0,0.0,2.0,0.0,0.0,99645.04,0.0 +686.0,Spain,Male,39.0,10.0,136258.06,1.0,0.0,0.0,89199.51,0.0 +751.0,France,Male,31.0,8.0,0.0,2.0,0.0,0.0,17550.49,0.0 +654.0,Spain,Female,54.0,5.0,0.0,2.0,0.0,1.0,47139.06,0.0 +619.0,France,Female,48.0,4.0,0.0,1.0,0.0,0.0,18094.96,0.0 +466.0,France,Male,29.0,6.0,0.0,2.0,1.0,1.0,2797.27,0.0 +647.0,Germany,Male,30.0,6.0,143138.91,2.0,1.0,0.0,2955.46,0.0 +637.0,Spain,Female,22.0,5.0,98800.0,1.0,1.0,0.0,122865.55,0.0 +657.0,France,Male,34.0,3.0,107136.6,1.0,1.0,0.0,153895.46, +724.0,France,Male,30.0,10.0,0.0,2.0,1.0,1.0,54265.55, +708.0,Germany,Female,54.0,8.0,145151.4,1.0,0.0,1.0,125311.17,0.0 +528.0,France,Male,34.0,1.0,125566.9,1.0,1.0,1.0,176763.27,0.0 +666.0,France,Female,33.0,2.0,147229.65,1.0,1.0,1.0,56410.17,0.0 +759.0,France,Female,39.0,6.0,0.0,2.0,1.0,1.0,140497.67,0.0 +742.0,Germany,Male,35.0,5.0,136857.0,1.0,0.0,0.0,84509.57,0.0 +600.0,France,Male,32.0,1.0,0.0,1.0,1.0,1.0,101986.16,1.0 +827.0,Spain,Female,35.0,0.0,0.0,2.0,0.0,1.0,184514.01,0.0 +585.0,France,Male,56.0,4.0,138227.19,2.0,1.0,1.0,55287.84,1.0 +687.0,Spain,Female,63.0,1.0,137715.66,1.0,1.0,1.0,37938.74,0.0 +663.0,Spain,Female,33.0,8.0,122528.18,1.0,1.0,0.0,196260.3,0.0 +621.0,Germany,Male,47.0,7.0,107363.29,1.0,1.0,1.0,66799.28,0.0 +616.0,France,Male,59.0,5.0,153861.1,1.0,1.0,1.0,17699.48,0.0 +687.0,France,Male,35.0,8.0,0.0,2.0,1.0,0.0,10334.05,0.0 +662.0,Spain,Female,42.0,6.0,105021.28,1.0,1.0,0.0,48242.38, +682.0,Spain,Male,46.0,7.0,128029.72,1.0,1.0,1.0,62615.35,0.0 +689.0,Germany,Female,55.0,1.0,76296.81,1.0,1.0,0.0,42364.75,0.0 +506.0,France,Male,37.0,5.0,0.0,2.0,1.0,1.0,127543.81,1.0 +715.0,Spain,Female,35.0,4.0,40169.88,2.0,1.0,1.0,199857.47,0.0 +730.0,France,Female,41.0,4.0,167545.32,1.0,1.0,0.0,128246.81,0.0 +515.0,France,Male,65.0,7.0,92113.61,1.0,1.0,1.0,142548.33,0.0 +479.0,France,Female,33.0,2.0,208165.53,1.0,0.0,0.0,50774.81,0.0 +623.0,France,Female,24.0,7.0,148167.83,2.0,1.0,1.0,109470.34, +587.0,Germany,Female,32.0,3.0,125445.04,2.0,1.0,1.0,130514.78,0.0 +611.0,Germany,Female,49.0,9.0,115488.52,2.0,1.0,1.0,138656.81, +620.0,France,Male,22.0,0.0,0.0,1.0,1.0,0.0,32589.45,0.0 +518.0,Germany,Female,35.0,8.0,141665.63,1.0,0.0,1.0,192776.64,0.0 +679.0,Germany,Male,35.0,1.0,130463.55,2.0,1.0,1.0,37341.17,0.0 +813.0,Spain,Male,27.0,1.0,137275.36,1.0,0.0,1.0,115733.16, +623.0,Germany,Male,33.0,8.0,96759.42,1.0,1.0,1.0,174777.98,0.0 +621.0,France,Male,35.0,7.0,87619.29,1.0,1.0,0.0,143.34, +655.0,France,Female,59.0,7.0,0.0,1.0,1.0,0.0,88958.49,0.0 +700.0,Germany,Female,59.0,5.0,137648.41,1.0,1.0,0.0,142977.05,1.0 +561.0,Spain,Male,24.0,8.0,143656.55,1.0,0.0,1.0,180932.46,0.0 +583.0,Germany,Female,32.0,7.0,94753.55,2.0,1.0,1.0,18149.03, +497.0,Spain,Male,44.0,2.0,121250.04,1.0,0.0,1.0,79691.4, +562.0,Germany,Female,31.0,9.0,117153.0,1.0,1.0,1.0,108675.01,0.0 +807.0,Spain,Female,28.0,7.0,165969.26,3.0,1.0,0.0,156122.13, +778.0,Germany,Female,29.0,7.0,123229.46,1.0,1.0,0.0,181221.09,0.0 +686.0,Spain,Male,38.0,7.0,111484.88,1.0,1.0,1.0,76076.2,0.0 +702.0,Spain,Male,30.0,2.0,0.0,2.0,1.0,1.0,145537.32,0.0 +680.0,Germany,Male,30.0,4.0,108300.27,2.0,0.0,1.0,44384.57, +656.0,Spain,Female,34.0,6.0,59877.33,1.0,1.0,0.0,14032.62, +639.0,Spain,Male,38.0,9.0,130233.14,1.0,1.0,1.0,81861.1, +701.0,Germany,Male,38.0,3.0,125385.49,2.0,0.0,1.0,52044.66,0.0 +603.0,Spain,Female,42.0,8.0,91611.12,1.0,0.0,0.0,144675.3,0.0 +579.0,Germany,Male,31.0,6.0,139729.54,1.0,0.0,1.0,135815.38,0.0 +656.0,Germany,Female,23.0,4.0,163549.63,1.0,0.0,1.0,21085.12,0.0 +565.0,Germany,Male,59.0,9.0,69129.59,1.0,1.0,1.0,170705.53,0.0 +583.0,France,Female,42.0,7.0,0.0,2.0,1.0,0.0,144039.05,1.0 +726.0,Germany,Female,51.0,8.0,107494.86,2.0,1.0,0.0,140937.91,1.0 +631.0,Spain,Female,46.0,10.0,0.0,2.0,1.0,1.0,129508.96, +528.0,France,Female,36.0,1.0,156948.41,1.0,1.0,1.0,149912.28,0.0 +449.0,Spain,Female,31.0,1.0,113693.0,1.0,0.0,0.0,82796.29,0.0 +691.0,France,Female,33.0,1.0,128306.83,1.0,1.0,1.0,113580.79,0.0 +493.0,France,Female,46.0,4.0,0.0,2.0,1.0,0.0,1907.66,1.0 +833.0,France,Male,47.0,2.0,0.0,2.0,1.0,1.0,182247.77,1.0 +619.0,Germany,Male,29.0,4.0,98955.87,1.0,0.0,1.0,131712.51, +620.0,France,Male,37.0,0.0,107548.94,1.0,1.0,0.0,71175.94,0.0 +819.0,France,Female,38.0,10.0,0.0,2.0,1.0,0.0,30498.7,0.0 +595.0,France,Female,39.0,7.0,120962.13,1.0,0.0,0.0,23305.01,0.0 +674.0,Germany,Female,38.0,10.0,83727.68,1.0,1.0,0.0,45418.12, +604.0,Germany,Female,25.0,5.0,157780.84,2.0,1.0,1.0,58426.81,1.0 +692.0,France,Female,30.0,7.0,0.0,2.0,1.0,1.0,18826.34,0.0 +782.0,Germany,Male,35.0,7.0,98556.89,2.0,1.0,0.0,117644.36,1.0 +805.0,France,Male,46.0,6.0,118022.06,3.0,1.0,0.0,162643.15,0.0 +543.0,France,Female,34.0,8.0,0.0,2.0,0.0,1.0,145601.8, +612.0,Germany,Female,58.0,1.0,149641.53,1.0,1.0,1.0,115161.28,0.0 +748.0,France,Female,20.0,7.0,0.0,2.0,0.0,0.0,10792.42, +555.0,Spain,Male,32.0,4.0,0.0,2.0,1.0,1.0,54405.79,0.0 +686.0,France,Male,37.0,9.0,134560.62,1.0,1.0,0.0,27596.39,0.0 +719.0,Germany,Male,28.0,3.0,106070.29,2.0,1.0,1.0,183893.31,0.0 +687.0,Spain,Female,39.0,2.0,0.0,3.0,0.0,0.0,188150.6,0.0 +590.0,France,Male,40.0,8.0,0.0,2.0,1.0,0.0,62933.03,0.0 +538.0,France,Male,31.0,1.0,0.0,2.0,1.0,0.0,1375.46,0.0 +774.0,France,Female,42.0,3.0,137781.65,1.0,0.0,0.0,199316.19,0.0 +659.0,France,Male,43.0,1.0,106086.42,2.0,1.0,0.0,26900.63,0.0 +688.0,Spain,Male,36.0,0.0,89772.3,1.0,1.0,0.0,177383.68,0.0 +645.0,Germany,Male,47.0,9.0,152076.93,1.0,1.0,0.0,121840.2, +611.0,Spain,Female,37.0,4.0,0.0,2.0,1.0,0.0,125696.26,0.0 +613.0,France,Male,40.0,7.0,124339.9,1.0,0.0,0.0,193309.58, +798.0,France,Male,22.0,8.0,0.0,2.0,1.0,0.0,107615.43,0.0 +488.0,Spain,Female,39.0,9.0,140553.46,1.0,0.0,0.0,12440.44,1.0 +704.0,France,Female,33.0,0.0,130499.09,2.0,1.0,1.0,74804.36, +606.0,France,Male,36.0,1.0,155655.46,1.0,1.0,1.0,192387.51, +544.0,France,Female,21.0,10.0,161525.96,2.0,1.0,0.0,9262.77,1.0 +717.0,France,Female,28.0,1.0,90537.16,1.0,0.0,1.0,74800.99,1.0 +604.0,Spain,Female,71.0,10.0,0.0,2.0,1.0,1.0,129984.2,0.0 +766.0,Germany,Male,27.0,5.0,126285.73,1.0,1.0,0.0,177614.17, +699.0,France,Male,22.0,9.0,99339.0,1.0,1.0,0.0,68297.61, +479.0,France,Female,35.0,2.0,113090.4,1.0,1.0,0.0,195649.79,0.0 +705.0,Spain,Female,46.0,5.0,89364.91,1.0,0.0,1.0,139162.15,0.0 +850.0,France,Male,40.0,6.0,124788.18,1.0,1.0,0.0,65612.12, +515.0,Germany,Male,60.0,9.0,113715.36,1.0,1.0,0.0,18424.24,0.0 +641.0,Germany,Female,40.0,2.0,110086.69,1.0,1.0,0.0,159773.14,0.0 +601.0,France,Male,47.0,1.0,64430.06,2.0,0.0,1.0,96517.97,1.0 +566.0,France,Male,30.0,5.0,0.0,1.0,1.0,0.0,54926.51,0.0 +547.0,Germany,Female,42.0,1.0,142703.4,1.0,1.0,0.0,86207.49, +601.0,France,Male,35.0,2.0,0.0,2.0,1.0,1.0,118983.18,0.0 +509.0,Germany,Male,32.0,9.0,170661.47,1.0,1.0,1.0,21646.2,0.0 +640.0,Germany,Female,46.0,5.0,107978.4,2.0,1.0,0.0,155876.06, +773.0,Germany,Male,34.0,10.0,126979.75,1.0,0.0,0.0,36823.28,1.0 +547.0,France,Female,48.0,1.0,179380.74,2.0,0.0,1.0,69263.1,0.0 +579.0,Spain,Male,43.0,2.0,145843.82,1.0,1.0,1.0,198402.37,0.0 +656.0,France,Male,37.0,7.0,112291.34,1.0,1.0,0.0,153157.97,0.0 +599.0,Spain,Male,51.0,0.0,0.0,1.0,1.0,1.0,175235.99,0.0 +644.0,France,Male,48.0,8.0,0.0,2.0,0.0,1.0,44965.54,0.0 +612.0,Germany,Male,76.0,6.0,96166.88,1.0,1.0,1.0,191393.26,0.0 +705.0,Germany,Female,31.0,9.0,110941.93,2.0,1.0,0.0,163484.8, +850.0,France,Male,40.0,6.0,0.0,1.0,1.0,0.0,136985.08,0.0 +607.0,Germany,Male,36.0,8.0,143421.74,1.0,1.0,0.0,97879.02,0.0 +696.0,Spain,Male,47.0,1.0,106758.6,1.0,1.0,1.0,80591.18,0.0 +652.0,France,Female,36.0,6.0,112518.71,2.0,0.0,1.0,110421.31,0.0 +728.0,Germany,Female,35.0,8.0,125884.95,2.0,1.0,0.0,54359.02,1.0 +576.0,France,Male,41.0,1.0,0.0,1.0,1.0,1.0,188274.6,0.0 +782.0,Spain,Female,27.0,3.0,0.0,2.0,1.0,0.0,143614.01,0.0 +837.0,Germany,Male,37.0,6.0,94001.61,2.0,1.0,0.0,140723.05,0.0 +773.0,France,Male,25.0,1.0,124532.78,2.0,0.0,1.0,11723.57,1.0 +709.0,Spain,Male,62.0,3.0,0.0,2.0,1.0,1.0,82195.15, +685.0,France,Male,30.0,2.0,0.0,2.0,1.0,1.0,140889.32, +554.0,Germany,Female,51.0,7.0,105701.91,1.0,0.0,1.0,179797.79,0.0 +622.0,Spain,Female,47.0,6.0,142319.03,1.0,0.0,0.0,100183.05,1.0 +752.0,Spain,Male,36.0,2.0,0.0,2.0,1.0,1.0,45570.84,0.0 +746.0,Spain,Male,24.0,10.0,68781.82,1.0,0.0,1.0,47997.39,0.0 +850.0,France,Female,39.0,7.0,79259.99,1.0,0.0,1.0,186910.74,0.0 +850.0,France,Female,32.0,7.0,0.0,2.0,0.0,0.0,155227.0,0.0 +567.0,Spain,Male,35.0,8.0,153137.74,1.0,1.0,0.0,88659.07,1.0 +636.0,Spain,Female,36.0,1.0,0.0,1.0,1.0,0.0,43134.58,0.0 +501.0,France,Male,42.0,9.0,114631.23,1.0,0.0,1.0,91429.74,0.0 +802.0,France,Male,38.0,1.0,142557.11,1.0,1.0,1.0,172497.73, +797.0,France,Female,29.0,1.0,0.0,2.0,1.0,1.0,132975.39,0.0 +755.0,Germany,Female,33.0,6.0,90560.3,2.0,1.0,1.0,42607.69,0.0 +476.0,Germany,Female,34.0,8.0,111905.43,1.0,0.0,1.0,197221.81,0.0 +553.0,Germany,Male,46.0,3.0,82291.1,1.0,1.0,0.0,112549.99,0.0 +657.0,France,Male,38.0,7.0,0.0,2.0,1.0,0.0,185827.74, +739.0,Germany,Female,25.0,5.0,113113.12,1.0,1.0,0.0,129181.27, +687.0,France,Female,44.0,9.0,0.0,2.0,0.0,0.0,103042.2,0.0 +699.0,Spain,Male,31.0,8.0,125927.51,2.0,1.0,0.0,147661.47,1.0 +510.0,France,Female,26.0,6.0,136214.08,1.0,0.0,0.0,159742.33,0.0 +504.0,Germany,Male,43.0,5.0,134740.19,2.0,1.0,0.0,181430.91, +732.0,Germany,Female,29.0,1.0,154333.82,1.0,1.0,1.0,138527.56,0.0 +667.0,Spain,Male,39.0,9.0,0.0,2.0,1.0,0.0,68873.8,0.0 +715.0,France,Male,34.0,4.0,124314.45,1.0,0.0,0.0,97782.92,1.0 +648.0,France,Male,26.0,9.0,162923.85,1.0,1.0,0.0,98368.24,1.0 +755.0,Germany,Female,37.0,0.0,113865.23,2.0,1.0,1.0,117396.25,0.0 +626.0,Germany,Female,47.0,2.0,103108.8,1.0,0.0,1.0,166475.44,0.0 +690.0,France,Female,36.0,6.0,110480.48,1.0,0.0,0.0,81292.33,0.0 +850.0,Spain,Male,71.0,10.0,69608.14,1.0,1.0,0.0,97893.4, +777.0,France,Male,29.0,2.0,0.0,2.0,1.0,0.0,124489.88, +633.0,France,Female,44.0,7.0,0.0,2.0,1.0,0.0,29761.29,0.0 +501.0,France,Male,40.0,4.0,125832.2,1.0,1.0,1.0,100433.83,0.0 +642.0,France,Male,30.0,8.0,117494.27,1.0,0.0,0.0,61977.82,0.0 +601.0,France,Female,46.0,3.0,98202.76,1.0,0.0,0.0,137763.93,1.0 +810.0,Germany,Male,69.0,3.0,27288.43,1.0,1.0,1.0,110509.9, +738.0,Germany,Male,35.0,6.0,101744.84,1.0,0.0,0.0,85185.44,1.0 +604.0,Spain,Male,43.0,2.0,145081.72,1.0,1.0,1.0,23881.62,0.0 +656.0,France,Female,45.0,7.0,145933.27,1.0,1.0,1.0,199392.14,0.0 +731.0,France,Male,30.0,7.0,0.0,2.0,1.0,1.0,184581.68,0.0 +716.0,Spain,Male,34.0,9.0,0.0,1.0,1.0,1.0,66695.71, +772.0,Germany,Female,51.0,9.0,143930.92,1.0,0.0,1.0,46675.51,0.0 +757.0,France,Male,23.0,2.0,80673.96,2.0,1.0,0.0,93991.65,0.0 +663.0,France,Male,43.0,4.0,87624.03,2.0,1.0,0.0,149401.33,0.0 +531.0,France,Male,44.0,3.0,0.0,2.0,1.0,1.0,34416.79,0.0 +592.0,France,Male,39.0,7.0,0.0,2.0,1.0,0.0,83084.33,1.0 +731.0,France,Male,31.0,1.0,132512.26,1.0,1.0,1.0,185466.85, +588.0,France,Female,35.0,0.0,0.0,2.0,1.0,1.0,155485.24,0.0 +677.0,France,Female,36.0,7.0,0.0,1.0,1.0,0.0,47318.75,0.0 +849.0,France,Male,27.0,0.0,0.0,2.0,0.0,1.0,157891.86,0.0 +732.0,France,Male,46.0,0.0,0.0,2.0,1.0,1.0,184350.78,0.0 +540.0,Spain,Female,28.0,6.0,84121.04,1.0,0.0,1.0,80698.54,0.0 +637.0,France,Female,48.0,7.0,130806.99,2.0,1.0,1.0,132005.85,0.0 +675.0,France,Female,32.0,2.0,155663.31,1.0,1.0,0.0,97658.66,0.0 +575.0,France,Female,40.0,1.0,139532.34,1.0,1.0,0.0,181294.39, +721.0,Germany,Male,68.0,4.0,136525.99,1.0,0.0,0.0,175399.14,0.0 +552.0,Spain,Male,42.0,4.0,0.0,2.0,0.0,0.0,195692.3,0.0 +828.0,France,Male,31.0,9.0,0.0,1.0,0.0,1.0,164257.37,1.0 +490.0,Spain,Female,38.0,3.0,97266.1,1.0,1.0,1.0,92797.23,0.0 +589.0,France,Male,37.0,5.0,0.0,1.0,1.0,0.0,61324.87,0.0 +656.0,France,Male,43.0,7.0,134919.85,1.0,1.0,0.0,194691.95,0.0 +549.0,France,Female,38.0,8.0,107283.4,1.0,0.0,0.0,157442.75,0.0 +634.0,Spain,Female,41.0,4.0,0.0,2.0,1.0,1.0,164549.74,1.0 +697.0,France,Female,45.0,1.0,0.0,2.0,1.0,0.0,46807.62,0.0 +724.0,France,Female,40.0,6.0,110054.45,1.0,1.0,1.0,86950.72,0.0 +850.0,Spain,Female,45.0,2.0,122311.21,1.0,1.0,1.0,19482.5,1.0 +695.0,France,Female,23.0,1.0,0.0,2.0,1.0,1.0,141756.32,1.0 +840.0,Germany,Female,51.0,1.0,87779.83,1.0,0.0,1.0,36687.11,1.0 +657.0,Germany,Male,57.0,8.0,107174.58,1.0,1.0,1.0,126369.55,1.0 +635.0,Spain,Female,37.0,3.0,0.0,2.0,1.0,0.0,91086.73,0.0 +491.0,Germany,Female,57.0,4.0,112044.72,1.0,1.0,1.0,41229.73,0.0 +427.0,Spain,Male,40.0,8.0,0.0,2.0,1.0,1.0,82870.75, +715.0,France,Male,21.0,6.0,76467.16,1.0,1.0,1.0,173511.72,0.0 +444.0,France,Female,45.0,4.0,0.0,2.0,1.0,0.0,161653.5,0.0 +582.0,France,Female,39.0,1.0,132077.48,2.0,1.0,0.0,192255.15,0.0 +610.0,France,Female,45.0,1.0,0.0,2.0,1.0,1.0,199657.46, +669.0,Germany,Female,50.0,4.0,112650.89,1.0,0.0,0.0,166386.22,1.0 +546.0,Spain,Female,36.0,7.0,85660.96,1.0,0.0,0.0,134778.01, +652.0,France,Male,30.0,2.0,176166.56,2.0,1.0,1.0,152210.81,1.0 +700.0,France,Female,32.0,8.0,110923.15,2.0,1.0,1.0,161845.81, +546.0,Germany,Female,74.0,8.0,114888.74,2.0,1.0,1.0,66732.63,0.0 +687.0,France,Male,28.0,7.0,108116.66,1.0,1.0,1.0,27411.19,0.0 +516.0,Germany,Female,33.0,10.0,138847.9,1.0,1.0,1.0,127256.7,0.0 +708.0,Spain,Female,64.0,5.0,0.0,3.0,0.0,1.0,112520.07,0.0 +529.0,Spain,Female,44.0,1.0,0.0,2.0,0.0,0.0,14161.3,1.0 +679.0,France,Male,40.0,1.0,0.0,1.0,1.0,1.0,16897.19,0.0 +678.0,France,Female,60.0,2.0,0.0,2.0,1.0,1.0,43821.56,0.0 +562.0,Germany,Male,35.0,3.0,142296.13,1.0,0.0,1.0,177112.7,1.0 +636.0,Germany,Male,34.0,2.0,40105.51,2.0,0.0,1.0,53512.16,0.0 +683.0,France,Male,72.0,3.0,140997.26,1.0,0.0,1.0,52876.41,0.0 +621.0,Spain,Male,33.0,4.0,0.0,2.0,1.0,1.0,40299.23,0.0 +475.0,France,Female,45.0,0.0,134264.04,1.0,1.0,0.0,27822.99,0.0 +550.0,France,Male,44.0,9.0,0.0,2.0,1.0,0.0,26257.01,0.0 +763.0,Spain,Male,67.0,9.0,148564.66,1.0,0.0,1.0,87236.4,0.0 +696.0,Germany,Male,31.0,3.0,150604.52,1.0,0.0,0.0,5566.6,0.0 +679.0,Germany,Male,35.0,1.0,110245.13,1.0,1.0,1.0,178291.09,0.0 +588.0,Germany,Female,37.0,7.0,70258.88,2.0,1.0,0.0,139607.61, +589.0,France,Male,36.0,8.0,114435.47,1.0,1.0,0.0,26955.72, +562.0,France,Female,51.0,1.0,124662.54,1.0,1.0,1.0,65390.46,0.0 +717.0,France,Male,38.0,7.0,97459.06,1.0,0.0,0.0,189175.71,0.0 +676.0,Germany,Male,48.0,3.0,80697.44,1.0,0.0,0.0,101397.86,0.0 +697.0,Germany,Female,38.0,6.0,132591.36,1.0,1.0,1.0,7387.8,1.0 +532.0,Germany,Male,52.0,3.0,110791.97,1.0,1.0,0.0,148704.77,0.0 +513.0,Spain,Female,31.0,5.0,174853.46,1.0,1.0,0.0,84238.63,0.0 +571.0,France,Male,44.0,9.0,0.0,2.0,0.0,0.0,38433.35,0.0 +516.0,France,Female,42.0,8.0,56228.25,1.0,1.0,0.0,46857.52,0.0 +790.0,Spain,Male,37.0,8.0,0.0,2.0,1.0,1.0,149418.41,0.0 +548.0,France,Female,41.0,4.0,82596.8,1.0,0.0,1.0,55672.09,0.0 +601.0,France,Male,46.0,2.0,99786.07,1.0,1.0,1.0,32683.88, +538.0,Spain,Male,68.0,9.0,0.0,2.0,1.0,0.0,110440.5,0.0 +445.0,France,Male,37.0,3.0,0.0,2.0,1.0,1.0,180012.39,1.0 +641.0,France,Male,35.0,5.0,0.0,2.0,1.0,0.0,93148.93,0.0 +537.0,France,Female,45.0,7.0,158621.04,1.0,1.0,0.0,120892.96,1.0 +498.0,France,Female,29.0,9.0,0.0,1.0,1.0,0.0,190035.83,0.0 +564.0,Germany,Female,62.0,5.0,114931.35,3.0,0.0,1.0,18260.98,0.0 +786.0,France,Male,32.0,2.0,120452.4,2.0,0.0,0.0,79602.86,0.0 +771.0,France,Male,27.0,2.0,0.0,2.0,1.0,1.0,199527.34,0.0 +600.0,France,Female,41.0,1.0,0.0,2.0,1.0,1.0,91193.65, +639.0,Spain,Female,27.0,8.0,133806.54,2.0,1.0,0.0,6251.3,0.0 +644.0,France,Female,40.0,9.0,137285.26,4.0,1.0,0.0,77063.63,0.0 +646.0,France,Female,46.0,4.0,0.0,3.0,1.0,0.0,93251.42,0.0 +634.0,Germany,Male,37.0,3.0,111432.77,2.0,1.0,1.0,167032.49,0.0 +629.0,Germany,Male,28.0,8.0,108601.0,1.0,1.0,1.0,119647.7,0.0 +577.0,France,Male,37.0,2.0,127261.35,1.0,1.0,0.0,56185.05,0.0 +594.0,France,Male,23.0,5.0,156267.59,1.0,1.0,0.0,160968.44,0.0 +807.0,Germany,Female,31.0,1.0,93460.47,2.0,0.0,0.0,172782.69,0.0 +640.0,France,Male,43.0,7.0,132412.38,1.0,0.0,0.0,69584.3,0.0 +619.0,Spain,Female,38.0,10.0,119658.49,1.0,1.0,1.0,8646.58, +690.0,Spain,Male,32.0,2.0,76087.98,1.0,0.0,1.0,151822.66,0.0 +635.0,France,Female,48.0,8.0,130796.33,2.0,1.0,1.0,43250.3,0.0 +458.0,France,Female,39.0,9.0,0.0,2.0,1.0,0.0,116343.09,0.0 +765.0,France,Male,41.0,4.0,124182.21,1.0,0.0,0.0,100153.43,1.0 +493.0,France,Male,38.0,3.0,134006.77,1.0,1.0,0.0,89578.32,0.0 +649.0,Germany,Male,40.0,4.0,95001.33,1.0,0.0,1.0,123202.99,0.0 +635.0,France,Male,34.0,3.0,134692.4,2.0,1.0,1.0,83773.02,1.0 +595.0,France,Female,53.0,7.0,0.0,2.0,1.0,0.0,41371.68,0.0 +825.0,Spain,Female,32.0,1.0,0.0,2.0,1.0,1.0,42935.15,1.0 +512.0,France,Male,51.0,6.0,144953.31,1.0,1.0,1.0,165035.17,0.0 +599.0,Germany,Male,40.0,10.0,137456.28,2.0,1.0,1.0,14113.11,0.0 +778.0,Germany,Female,29.0,6.0,150358.97,1.0,1.0,0.0,62454.01,0.0 +850.0,Spain,Male,36.0,0.0,0.0,2.0,1.0,0.0,141242.57,0.0 +783.0,Spain,Female,37.0,1.0,136689.66,1.0,1.0,0.0,197890.65,1.0 +715.0,Germany,Female,37.0,9.0,105489.31,1.0,0.0,0.0,143096.49,0.0 +574.0,Spain,Male,52.0,7.0,115532.52,1.0,1.0,0.0,196257.67, +689.0,Spain,Female,40.0,5.0,154251.67,1.0,0.0,1.0,118319.5,0.0 +600.0,France,Male,46.0,10.0,95502.21,1.0,0.0,0.0,19842.18,0.0 +763.0,Germany,Male,32.0,9.0,160680.41,1.0,1.0,0.0,30886.35,0.0 +774.0,France,Female,52.0,2.0,56580.93,1.0,1.0,0.0,113266.28,0.0 +847.0,Spain,Male,31.0,5.0,0.0,2.0,1.0,1.0,76326.67, +727.0,Spain,Male,71.0,8.0,0.0,1.0,1.0,1.0,198446.91,1.0 +683.0,Spain,Female,36.0,7.0,0.0,2.0,1.0,0.0,104786.59,0.0 +710.0,Spain,Female,51.0,4.0,93656.95,1.0,0.0,1.0,141400.51,1.0 +646.0,Germany,Male,32.0,8.0,105397.8,1.0,1.0,0.0,78111.84,0.0 +706.0,Germany,Female,47.0,10.0,144090.42,1.0,1.0,0.0,140938.95, +704.0,France,Male,24.0,2.0,148197.15,2.0,1.0,0.0,182775.08,0.0 +468.0,France,Female,32.0,8.0,137649.47,1.0,0.0,0.0,198714.29,0.0 +684.0,France,Female,48.0,3.0,73309.38,1.0,0.0,0.0,21228.34,1.0 +634.0,Spain,Male,34.0,1.0,0.0,2.0,1.0,0.0,61995.57,1.0 +716.0,Germany,Male,27.0,1.0,122552.34,2.0,1.0,0.0,67611.36,0.0 +527.0,Spain,Female,46.0,10.0,131414.76,1.0,1.0,0.0,54947.51,1.0 +606.0,Spain,Male,30.0,8.0,180307.73,2.0,1.0,1.0,1914.41, +779.0,France,Female,26.0,0.0,0.0,2.0,0.0,1.0,111906.0,0.0 +806.0,France,Female,67.0,1.0,0.0,2.0,0.0,1.0,103945.58,0.0 +699.0,France,Male,39.0,2.0,109724.38,1.0,1.0,1.0,180022.39, +666.0,France,Male,39.0,10.0,0.0,2.0,1.0,0.0,102999.33,0.0 +672.0,Spain,Male,33.0,2.0,0.0,2.0,1.0,1.0,182738.0,0.0 +708.0,France,Female,59.0,2.0,0.0,1.0,1.0,0.0,179673.11,0.0 +739.0,France,Male,34.0,9.0,0.0,1.0,1.0,0.0,60584.33, +745.0,Germany,Female,28.0,1.0,111071.36,1.0,1.0,0.0,73275.96,0.0 +695.0,France,Male,46.0,7.0,49512.55,1.0,1.0,0.0,133007.34,0.0 +743.0,Germany,Male,39.0,3.0,119695.75,1.0,0.0,1.0,26136.13,0.0 +710.0,Germany,Male,45.0,9.0,108231.37,1.0,1.0,1.0,188574.08,0.0 +618.0,Germany,Male,42.0,8.0,153572.31,2.0,1.0,1.0,76679.6,0.0 +800.0,Spain,Male,38.0,9.0,0.0,1.0,1.0,0.0,78744.39,0.0 +547.0,Germany,Female,39.0,6.0,74596.15,3.0,1.0,1.0,85746.52,1.0 +538.0,Spain,Male,43.0,5.0,0.0,2.0,1.0,0.0,126933.73,1.0 +653.0,Germany,Male,31.0,9.0,143321.97,1.0,1.0,0.0,83679.46,0.0 +560.0,Germany,Male,41.0,4.0,152532.3,1.0,0.0,0.0,10779.69,0.0 +540.0,Germany,Female,42.0,9.0,87271.41,2.0,1.0,0.0,172572.64,1.0 +646.0,France,Female,45.0,3.0,47134.75,1.0,1.0,1.0,57236.44,0.0 +635.0,Spain,Male,24.0,4.0,140197.18,1.0,1.0,1.0,142935.83,0.0 +667.0,France,Male,42.0,9.0,0.0,2.0,0.0,1.0,58137.42,1.0 +476.0,France,Male,37.0,4.0,0.0,1.0,1.0,1.0,55775.84,0.0 +602.0,France,Male,38.0,7.0,111835.94,2.0,1.0,0.0,124389.61,0.0 +617.0,Germany,Female,39.0,5.0,83348.89,3.0,1.0,0.0,7953.62,0.0 +754.0,Spain,Male,40.0,2.0,160625.17,1.0,0.0,1.0,3554.63, +431.0,France,Male,63.0,6.0,160982.89,1.0,1.0,1.0,168008.17,0.0 +691.0,France,Female,44.0,6.0,134066.1,2.0,1.0,1.0,197572.41, +821.0,Germany,Male,45.0,0.0,135827.33,2.0,1.0,1.0,131778.58, +704.0,France,Male,31.0,5.0,132084.66,3.0,1.0,1.0,54474.48, +728.0,France,Male,37.0,3.0,122689.51,2.0,0.0,0.0,106977.53,0.0 +679.0,France,Female,33.0,9.0,112528.65,2.0,1.0,0.0,177362.45,0.0 +618.0,Germany,Female,54.0,4.0,118449.21,1.0,1.0,1.0,133573.29,1.0 +726.0,France,Male,29.0,7.0,0.0,2.0,1.0,1.0,91844.14,1.0 +500.0,Spain,Female,50.0,5.0,0.0,4.0,1.0,1.0,83866.35, +636.0,Spain,Male,36.0,1.0,0.0,3.0,1.0,1.0,74048.1,0.0 +649.0,France,Male,41.0,0.0,0.0,2.0,0.0,1.0,130567.02,0.0 +746.0,France,Male,48.0,5.0,165282.42,1.0,1.0,0.0,153786.46, +709.0,Germany,Male,34.0,4.0,148375.19,2.0,1.0,1.0,21521.38,0.0 +850.0,France,Female,34.0,6.0,101266.51,1.0,1.0,0.0,33501.98, +736.0,France,Female,24.0,0.0,0.0,2.0,1.0,0.0,109355.73,0.0 +452.0,France,Female,35.0,8.0,0.0,2.0,1.0,1.0,149614.81, +697.0,France,Female,48.0,1.0,0.0,2.0,1.0,1.0,87400.53, +510.0,France,Male,32.0,9.0,103324.78,1.0,1.0,1.0,46127.7,1.0 +571.0,France,Female,35.0,8.0,0.0,2.0,0.0,0.0,84569.13,0.0 +662.0,France,Male,31.0,3.0,0.0,2.0,0.0,1.0,27731.05, +850.0,Germany,Male,30.0,5.0,123210.56,2.0,1.0,1.0,102180.27,1.0 +446.0,France,Female,51.0,4.0,105056.13,1.0,0.0,0.0,70613.52,1.0 +655.0,France,Female,38.0,6.0,0.0,1.0,1.0,1.0,188639.28,1.0 +606.0,France,Male,35.0,2.0,132164.26,1.0,0.0,1.0,164815.59,0.0 +501.0,France,Male,57.0,10.0,0.0,2.0,1.0,1.0,47847.19,0.0 +778.0,France,Male,42.0,6.0,0.0,2.0,1.0,1.0,106197.44,0.0 +628.0,Germany,Male,38.0,10.0,113525.84,1.0,1.0,0.0,46044.48,0.0 +593.0,France,Male,31.0,9.0,0.0,2.0,0.0,1.0,20492.16,0.0 +767.0,France,Female,35.0,6.0,115576.44,1.0,0.0,1.0,27922.45,0.0 +786.0,Spain,Female,32.0,6.0,114512.59,1.0,1.0,0.0,15796.66,0.0 +523.0,Germany,Female,39.0,1.0,143903.11,1.0,1.0,1.0,118711.75,0.0 +799.0,France,Female,32.0,3.0,106045.92,2.0,1.0,1.0,17938.0,0.0 +850.0,France,Male,27.0,6.0,96654.72,2.0,0.0,0.0,152740.16,0.0 +613.0,Germany,Male,38.0,9.0,126265.88,2.0,0.0,0.0,15859.95,0.0 +558.0,France,Female,41.0,6.0,0.0,1.0,1.0,1.0,143585.29,0.0 +475.0,France,Female,57.0,1.0,0.0,2.0,1.0,0.0,89248.99,0.0 +692.0,France,Male,54.0,5.0,0.0,2.0,1.0,1.0,88721.84,0.0 +708.0,Germany,Male,42.0,9.0,176702.36,2.0,1.0,1.0,104804.74,1.0 +773.0,France,Female,41.0,7.0,190238.93,1.0,1.0,1.0,57549.65,0.0 +711.0,Spain,Male,37.0,2.0,0.0,2.0,1.0,0.0,83978.86,0.0 +624.0,Spain,Male,33.0,6.0,66220.17,1.0,0.0,1.0,170819.01,0.0 +794.0,Spain,Male,45.0,8.0,88656.37,2.0,1.0,0.0,116547.31,0.0 +812.0,Spain,Female,24.0,1.0,92476.88,1.0,0.0,0.0,83247.14, +635.0,Spain,Male,31.0,1.0,0.0,2.0,1.0,0.0,135382.23,0.0 +737.0,France,Male,41.0,1.0,101960.74,1.0,1.0,1.0,123547.28,0.0 +837.0,Germany,Male,38.0,2.0,126732.85,1.0,1.0,1.0,79577.38,1.0 +690.0,Germany,Male,32.0,0.0,106683.52,2.0,1.0,1.0,137916.49,0.0 +598.0,Spain,Male,41.0,8.0,0.0,2.0,1.0,1.0,161954.43,0.0 +789.0,Germany,Male,51.0,3.0,104677.09,1.0,1.0,0.0,74265.38,0.0 +711.0,Spain,Male,38.0,3.0,128718.78,1.0,0.0,0.0,114793.45,0.0 +721.0,Germany,Male,37.0,3.0,107720.64,1.0,1.0,1.0,158591.12,0.0 +619.0,Spain,Male,38.0,3.0,96143.47,1.0,0.0,0.0,98994.92, +731.0,Spain,Male,42.0,9.0,101043.63,1.0,1.0,1.0,192175.52,0.0 +741.0,France,Male,42.0,6.0,106036.52,1.0,1.0,0.0,194686.78, +707.0,Spain,Female,35.0,3.0,56674.48,1.0,1.0,0.0,17987.4,1.0 +719.0,Spain,Male,50.0,2.0,0.0,2.0,0.0,0.0,10772.13,0.0 +719.0,Spain,Male,35.0,1.0,100829.94,1.0,1.0,1.0,165008.97,0.0 +850.0,France,Male,41.0,3.0,0.0,2.0,1.0,0.0,128892.36,1.0 +527.0,Spain,Female,36.0,6.0,0.0,2.0,1.0,1.0,102280.29,0.0 +536.0,France,Male,32.0,7.0,178011.5,2.0,1.0,0.0,22375.14,0.0 +517.0,France,Male,56.0,9.0,142147.32,1.0,0.0,0.0,39488.04,0.0 +583.0,France,Male,38.0,8.0,0.0,1.0,1.0,0.0,47848.56,0.0 +753.0,France,Male,35.0,4.0,0.0,2.0,1.0,1.0,106303.4, +523.0,France,Male,61.0,8.0,66250.71,1.0,1.0,1.0,21859.06,0.0 +546.0,Germany,Female,42.0,9.0,86351.85,2.0,1.0,0.0,57380.13,1.0 +523.0,France,Female,40.0,2.0,102967.41,1.0,1.0,0.0,128702.1,1.0 +733.0,France,Male,51.0,10.0,141556.96,1.0,1.0,0.0,130189.53,0.0 +661.0,France,Female,27.0,3.0,0.0,2.0,1.0,1.0,76889.79,0.0 +817.0,France,Female,55.0,10.0,117561.49,1.0,1.0,0.0,95941.55,0.0 +507.0,France,Male,36.0,4.0,83543.37,1.0,0.0,0.0,140134.43,0.0 +758.0,France,Male,35.0,7.0,0.0,2.0,1.0,0.0,77951.84, +711.0,France,Female,35.0,8.0,0.0,1.0,1.0,1.0,67508.01,1.0 +727.0,Germany,Male,45.0,6.0,114422.85,2.0,1.0,1.0,104678.78,0.0 +640.0,France,Female,66.0,9.0,116037.76,1.0,0.0,1.0,184636.05,0.0 +692.0,Spain,Male,46.0,2.0,0.0,2.0,1.0,1.0,105983.09,0.0 +487.0,Spain,Male,44.0,6.0,61691.45,1.0,1.0,1.0,53087.98,0.0 +558.0,Germany,Male,39.0,10.0,144757.02,1.0,1.0,0.0,22878.16,0.0 +594.0,France,Male,50.0,7.0,81310.34,1.0,1.0,1.0,183868.01, +675.0,France,Male,34.0,1.0,124619.33,2.0,0.0,1.0,163667.56,0.0 +707.0,Germany,Female,51.0,10.0,98438.23,1.0,0.0,0.0,70778.63,1.0 +658.0,France,Male,36.0,8.0,174060.46,1.0,1.0,1.0,94925.62,0.0 +711.0,France,Female,41.0,3.0,145754.91,1.0,1.0,1.0,101455.07,0.0 +611.0,Germany,Female,43.0,9.0,127216.31,2.0,0.0,1.0,17913.25,0.0 +549.0,Spain,Male,25.0,6.0,193858.2,1.0,0.0,1.0,21600.11,0.0 +586.0,France,Female,60.0,3.0,47020.65,2.0,0.0,1.0,63241.21, +606.0,Spain,Female,23.0,10.0,70417.79,1.0,0.0,1.0,90896.04,1.0 +529.0,France,Female,29.0,8.0,0.0,2.0,1.0,0.0,19842.11,0.0 +586.0,Spain,Female,57.0,3.0,0.0,2.0,0.0,1.0,6057.81,0.0 +551.0,France,Male,37.0,3.0,0.0,2.0,1.0,1.0,50578.4,0.0 +529.0,France,Male,28.0,9.0,0.0,2.0,1.0,1.0,52545.24,0.0 +715.0,France,Female,35.0,3.0,0.0,1.0,1.0,1.0,152012.36,0.0 +612.0,France,Male,24.0,1.0,182705.05,1.0,1.0,1.0,171837.06,0.0 +586.0,France,Male,27.0,5.0,130231.8,2.0,1.0,1.0,192427.16, +533.0,France,Female,39.0,2.0,0.0,1.0,0.0,1.0,73669.94,0.0 +660.0,Spain,Male,33.0,2.0,80462.24,1.0,0.0,0.0,150422.35,0.0 +576.0,France,Male,32.0,7.0,0.0,2.0,1.0,0.0,4660.91,0.0 +668.0,Germany,Female,32.0,10.0,92041.87,1.0,1.0,1.0,43595.9,0.0 +690.0,France,Male,35.0,6.0,112689.95,1.0,1.0,0.0,176962.31,1.0 +623.0,France,Female,35.0,5.0,0.0,2.0,1.0,0.0,101192.08,0.0 +560.0,Spain,Male,47.0,1.0,0.0,1.0,0.0,0.0,128882.66, +717.0,Germany,Male,35.0,7.0,58469.37,2.0,1.0,1.0,172459.39,0.0 +588.0,France,Male,44.0,8.0,154409.74,1.0,1.0,0.0,49324.03,0.0 +754.0,France,Male,28.0,8.0,0.0,2.0,1.0,1.0,52615.62,1.0 +651.0,Germany,Female,37.0,10.0,117791.06,2.0,1.0,1.0,75837.58,0.0 +544.0,France,Male,38.0,8.0,0.0,1.0,1.0,1.0,98208.62, +773.0,Spain,Male,41.0,9.0,102827.44,1.0,0.0,1.0,64595.25,1.0 +632.0,France,Female,44.0,3.0,133793.89,1.0,1.0,1.0,34607.14,0.0 +604.0,France,Female,56.0,0.0,62732.65,1.0,0.0,1.0,124954.56,0.0 +786.0,France,Male,35.0,3.0,0.0,2.0,1.0,0.0,92712.97,0.0 +684.0,Germany,Female,56.0,3.0,127585.98,3.0,1.0,1.0,80593.49, +600.0,France,Male,29.0,8.0,0.0,2.0,0.0,1.0,34747.43,0.0 +738.0,Spain,Male,36.0,5.0,0.0,2.0,1.0,1.0,96881.32,0.0 +790.0,Germany,Male,42.0,1.0,85839.62,1.0,1.0,0.0,198182.73,1.0 +602.0,Germany,Male,32.0,7.0,184715.86,2.0,1.0,0.0,113781.99,1.0 +734.0,France,Male,51.0,1.0,118537.47,1.0,1.0,1.0,116912.45,0.0 +591.0,Germany,Female,35.0,2.0,90194.34,2.0,1.0,0.0,57064.57, +790.0,Spain,Male,32.0,3.0,0.0,1.0,1.0,0.0,91044.47,0.0 +628.0,Germany,Male,27.0,5.0,95826.49,2.0,1.0,0.0,155996.96,0.0 +532.0,Spain,Female,39.0,0.0,0.0,2.0,1.0,0.0,94977.3, +698.0,France,Male,37.0,8.0,0.0,2.0,0.0,0.0,145004.39, +790.0,France,Female,41.0,2.0,126619.27,1.0,1.0,0.0,198224.38,1.0 +649.0,France,Female,45.0,5.0,92786.66,1.0,1.0,0.0,173365.9,0.0 +747.0,France,Male,42.0,4.0,80214.36,1.0,1.0,0.0,115241.96, +687.0,France,Female,34.0,9.0,125474.44,1.0,1.0,0.0,198929.84,0.0 +813.0,Germany,Female,36.0,6.0,98088.09,1.0,0.0,1.0,26687.22,0.0 +701.0,France,Male,40.0,5.0,169742.64,1.0,1.0,1.0,153537.55,0.0 +500.0,France,Female,34.0,4.0,0.0,2.0,1.0,0.0,12833.96, +688.0,Germany,Male,26.0,8.0,146133.39,1.0,1.0,1.0,175296.76,0.0 +682.0,Spain,Female,58.0,4.0,0.0,1.0,1.0,0.0,176036.01, +506.0,France,Male,43.0,2.0,0.0,2.0,1.0,0.0,105568.6, +584.0,Spain,Male,36.0,4.0,82696.09,2.0,0.0,0.0,83058.14,0.0 +531.0,Spain,Male,31.0,2.0,118899.45,2.0,0.0,0.0,41409.36,1.0 +718.0,Spain,Male,45.0,3.0,105266.32,2.0,1.0,1.0,193724.51,0.0 +663.0,Spain,Male,30.0,4.0,0.0,3.0,1.0,0.0,101371.05,0.0 +824.0,Germany,Male,49.0,8.0,133231.48,1.0,1.0,1.0,67885.37,0.0 +841.0,France,Male,31.0,2.0,0.0,2.0,1.0,0.0,173240.52,0.0 +722.0,France,Male,30.0,5.0,0.0,2.0,1.0,0.0,166376.54,0.0 +608.0,Germany,Male,34.0,3.0,106288.54,1.0,1.0,1.0,36639.25,0.0 +592.0,Spain,Male,38.0,8.0,0.0,2.0,1.0,0.0,180426.2,0.0 +589.0,France,Female,21.0,3.0,0.0,2.0,0.0,1.0,55601.44,0.0 +487.0,Spain,Female,31.0,1.0,0.0,2.0,1.0,0.0,158750.13,0.0 +745.0,France,Male,36.0,8.0,67226.37,1.0,1.0,0.0,130789.6,0.0 +782.0,Spain,Female,41.0,4.0,0.0,1.0,1.0,0.0,132943.88,0.0 +659.0,Germany,Female,39.0,1.0,104502.11,1.0,1.0,0.0,20652.69,1.0 +465.0,Germany,Male,53.0,1.0,117438.17,1.0,0.0,0.0,74898.8,0.0 +706.0,Spain,Female,53.0,3.0,0.0,3.0,0.0,0.0,88479.02,0.0 +598.0,Germany,Male,19.0,3.0,150348.37,1.0,1.0,1.0,173784.04,1.0 +549.0,Germany,Female,31.0,9.0,135020.21,2.0,1.0,1.0,23343.18,0.0 +625.0,Spain,Female,57.0,7.0,0.0,1.0,0.0,0.0,84106.17,0.0 +579.0,Germany,Male,28.0,6.0,150329.15,1.0,1.0,0.0,145558.42,1.0 +591.0,Spain,Female,40.0,1.0,86376.29,1.0,0.0,1.0,136767.16,0.0 +547.0,France,Male,30.0,6.0,0.0,2.0,1.0,1.0,18471.86, +662.0,France,Female,41.0,4.0,0.0,2.0,1.0,0.0,126551.48,0.0 +714.0,France,Male,37.0,9.0,148466.93,2.0,0.0,1.0,151280.96,0.0 +606.0,France,Male,47.0,3.0,93578.68,2.0,0.0,1.0,137720.56,0.0 +545.0,France,Female,32.0,6.0,0.0,2.0,1.0,1.0,52067.37, +640.0,Spain,Female,46.0,8.0,0.0,2.0,1.0,0.0,89043.19,1.0 +668.0,France,Male,28.0,4.0,107141.27,1.0,1.0,0.0,193018.71,0.0 +680.0,France,Male,32.0,5.0,92961.61,1.0,1.0,0.0,116957.6,1.0 +540.0,Germany,Male,39.0,4.0,127278.31,1.0,1.0,1.0,16150.34,0.0 +630.0,Spain,Male,26.0,7.0,0.0,2.0,1.0,1.0,6656.64,0.0 +732.0,Spain,Male,54.0,0.0,134249.7,1.0,0.0,1.0,13404.4,0.0 +801.0,France,Male,38.0,5.0,0.0,2.0,1.0,0.0,66256.27,1.0 +737.0,Germany,Female,40.0,2.0,162485.8,2.0,1.0,0.0,149381.32,0.0 +688.0,Germany,Female,34.0,9.0,91025.58,2.0,0.0,1.0,163783.0, +449.0,France,Male,52.0,6.0,0.0,2.0,0.0,1.0,123622.0,0.0 +599.0,France,Male,25.0,6.0,120383.41,1.0,1.0,1.0,24903.09,0.0 +730.0,France,Male,27.0,5.0,0.0,2.0,1.0,1.0,116081.93,0.0 +528.0,France,Female,27.0,7.0,176227.07,2.0,0.0,1.0,139481.53,0.0 +640.0,Germany,Male,26.0,5.0,90402.77,1.0,1.0,1.0,3298.65,0.0 +760.0,France,Male,34.0,2.0,0.0,2.0,1.0,0.0,164162.44,0.0 +705.0,France,Female,37.0,10.0,0.0,2.0,1.0,1.0,13935.53, +782.0,Germany,Female,72.0,5.0,148666.99,1.0,1.0,0.0,2605.65, +804.0,France,Male,25.0,7.0,108396.67,1.0,1.0,0.0,128276.95,0.0 +510.0,France,Female,30.0,0.0,0.0,2.0,1.0,1.0,130553.47,0.0 +455.0,France,Female,27.0,5.0,155879.09,2.0,0.0,0.0,70774.97, +736.0,France,Female,30.0,9.0,0.0,2.0,1.0,0.0,34180.33,0.0 +567.0,France,Male,42.0,2.0,0.0,2.0,1.0,1.0,167984.61,0.0 +555.0,France,Female,44.0,3.0,105770.7,3.0,1.0,0.0,60533.96,0.0 +519.0,France,Male,34.0,5.0,0.0,1.0,1.0,0.0,68479.6,0.0 +700.0,France,Female,27.0,6.0,137963.07,1.0,0.0,0.0,8996.79,0.0 +547.0,France,Female,35.0,4.0,0.0,1.0,1.0,1.0,133287.73, +734.0,Spain,Female,43.0,3.0,55853.33,2.0,0.0,1.0,94811.85,0.0 +727.0,Germany,Female,31.0,3.0,82729.47,2.0,1.0,0.0,60212.51, +584.0,Germany,Female,62.0,9.0,137727.34,2.0,0.0,1.0,121102.9,0.0 +422.0,France,Male,41.0,6.0,153238.88,1.0,1.0,0.0,11663.09,0.0 +539.0,Spain,Male,38.0,6.0,0.0,1.0,1.0,1.0,152880.07,1.0 +608.0,France,Male,59.0,1.0,0.0,1.0,1.0,0.0,70649.64,1.0 +674.0,France,Female,27.0,4.0,79144.34,1.0,0.0,1.0,50743.83,1.0 +646.0,France,Male,38.0,7.0,0.0,2.0,1.0,0.0,1528.4, +556.0,Germany,Male,42.0,0.0,115915.53,2.0,0.0,1.0,125435.47, +709.0,Germany,Male,45.0,4.0,122917.71,1.0,1.0,1.0,11.58,0.0 +529.0,France,Male,67.0,8.0,103101.56,2.0,1.0,1.0,154002.02, +764.0,France,Male,41.0,7.0,0.0,2.0,0.0,0.0,134878.34,0.0 +632.0,Germany,Female,41.0,3.0,81877.38,1.0,1.0,1.0,33642.21,0.0 +795.0,Germany,Female,33.0,9.0,130862.43,1.0,1.0,1.0,114935.21,0.0 +630.0,Germany,Male,50.0,3.0,129370.91,4.0,1.0,1.0,47775.34,1.0 +691.0,Germany,Male,30.0,7.0,116927.89,1.0,1.0,0.0,21198.39,1.0 +544.0,Germany,Male,47.0,5.0,105245.21,1.0,0.0,0.0,99922.08,0.0 +769.0,France,Male,29.0,4.0,145471.37,1.0,1.0,0.0,188382.77,1.0 +659.0,France,Female,44.0,9.0,23503.31,1.0,0.0,1.0,169862.01,1.0 +517.0,France,Male,41.0,2.0,0.0,2.0,0.0,1.0,75937.47,0.0 +668.0,Spain,Female,24.0,7.0,173962.32,1.0,0.0,0.0,106457.11,0.0 +564.0,France,Female,28.0,1.0,0.0,1.0,1.0,1.0,162428.05,1.0 +611.0,Germany,Female,40.0,7.0,128486.91,2.0,1.0,0.0,10109.47,0.0 +636.0,Germany,Male,49.0,6.0,113599.74,2.0,1.0,0.0,158887.09,0.0 +700.0,Spain,Male,28.0,8.0,159900.38,1.0,0.0,0.0,22698.56,0.0 +605.0,France,Male,41.0,10.0,0.0,2.0,0.0,1.0,97213.09,0.0 +524.0,Germany,Male,29.0,9.0,144287.6,2.0,1.0,0.0,32063.3,1.0 +686.0,France,Male,38.0,6.0,149238.97,1.0,1.0,1.0,97825.23,0.0 +678.0,France,Female,55.0,5.0,0.0,1.0,0.0,1.0,196794.11, +593.0,Germany,Female,41.0,4.0,119703.1,2.0,1.0,1.0,109783.29,0.0 +597.0,Spain,Male,35.0,0.0,127510.99,1.0,1.0,1.0,155356.34,0.0 +760.0,Germany,Male,34.0,6.0,121303.77,2.0,1.0,1.0,59325.21,0.0 +655.0,Spain,Female,34.0,4.0,109783.69,2.0,1.0,0.0,134034.32,0.0 +656.0,France,Male,46.0,9.0,143267.14,2.0,0.0,0.0,193099.43,1.0 +806.0,Germany,Male,31.0,10.0,138653.51,1.0,1.0,0.0,190803.37,0.0 +671.0,Germany,Female,34.0,6.0,37266.67,2.0,0.0,0.0,156917.12,0.0 +598.0,France,Male,64.0,1.0,0.0,2.0,1.0,0.0,195635.3,0.0 +598.0,Spain,Female,64.0,1.0,62979.93,1.0,1.0,1.0,152273.57,0.0 +850.0,France,Male,41.0,3.0,136416.82,1.0,0.0,1.0,57844.26,0.0 +662.0,Spain,Female,54.0,1.0,187997.15,1.0,0.0,0.0,111442.71,0.0 +638.0,Germany,Male,50.0,1.0,102645.48,1.0,1.0,0.0,168359.98,1.0 +634.0,Spain,Male,25.0,9.0,0.0,2.0,1.0,1.0,8227.91,0.0 +643.0,Spain,Female,35.0,6.0,0.0,2.0,1.0,1.0,41549.64, +850.0,Spain,Female,54.0,4.0,120952.74,1.0,1.0,0.0,66963.15,0.0 +751.0,Spain,Male,33.0,4.0,79281.61,1.0,1.0,0.0,117547.76,1.0 +682.0,France,Male,40.0,4.0,0.0,1.0,0.0,1.0,105352.55, +784.0,Spain,Male,23.0,2.0,0.0,1.0,1.0,1.0,6847.73, +675.0,France,Female,57.0,8.0,0.0,2.0,0.0,1.0,95463.29,0.0 +567.0,France,Female,37.0,7.0,0.0,2.0,1.0,1.0,28690.9,1.0 +651.0,France,Male,35.0,0.0,181821.96,2.0,0.0,1.0,36923.67,0.0 +620.0,France,Male,32.0,7.0,0.0,2.0,1.0,1.0,34665.79,1.0 +573.0,Spain,Female,72.0,8.0,98765.84,1.0,1.0,1.0,96015.53,0.0 +678.0,France,Male,43.0,5.0,102338.19,1.0,1.0,1.0,79649.62,0.0 +684.0,France,Female,26.0,5.0,87098.91,1.0,0.0,0.0,106095.82,0.0 +850.0,France,Female,31.0,4.0,0.0,2.0,1.0,1.0,33082.81,0.0 +628.0,Spain,Male,50.0,8.0,0.0,1.0,0.0,0.0,144366.83,1.0 +590.0,Spain,Female,34.0,6.0,0.0,2.0,1.0,0.0,171021.44,0.0 +618.0,France,Male,34.0,5.0,134954.53,1.0,1.0,1.0,151954.39,1.0 +834.0,Spain,Male,38.0,8.0,0.0,2.0,1.0,1.0,66485.26,0.0 +553.0,Germany,Male,41.0,9.0,110112.54,2.0,0.0,0.0,81898.81,0.0 +516.0,Spain,Female,33.0,3.0,0.0,2.0,1.0,1.0,58685.59,0.0 +613.0,Germany,Female,50.0,5.0,101242.98,2.0,1.0,0.0,12493.61, +847.0,Germany,Female,35.0,5.0,111743.43,1.0,1.0,1.0,183584.14, +738.0,Spain,Male,35.0,3.0,0.0,1.0,1.0,1.0,15650.73,1.0 +612.0,Spain,Male,35.0,1.0,0.0,1.0,1.0,1.0,83256.26,0.0 +559.0,Spain,Female,40.0,7.0,144470.77,1.0,1.0,1.0,18917.95,0.0 +686.0,Spain,Male,22.0,5.0,0.0,2.0,1.0,0.0,158974.45,0.0 +649.0,Germany,Male,78.0,4.0,68345.86,2.0,1.0,1.0,142566.75, +716.0,France,Male,38.0,4.0,0.0,2.0,1.0,0.0,189678.7,0.0 +564.0,Germany,Male,40.0,7.0,108407.34,1.0,1.0,1.0,83681.2,0.0 +649.0,France,Male,45.0,7.0,0.0,2.0,0.0,1.0,75204.21,0.0 +578.0,France,Male,32.0,4.0,0.0,2.0,1.0,1.0,141822.8,0.0 +754.0,Germany,Male,27.0,7.0,117578.35,2.0,0.0,1.0,87908.01,1.0 +688.0,France,Female,32.0,5.0,0.0,2.0,0.0,1.0,177607.77, +602.0,Germany,Female,26.0,8.0,113674.2,1.0,1.0,0.0,197861.16, +833.0,France,Female,39.0,3.0,0.0,2.0,1.0,0.0,1710.89,0.0 +584.0,France,Female,39.0,2.0,112687.69,1.0,1.0,1.0,127749.61,0.0 +480.0,Germany,Female,25.0,3.0,174330.35,2.0,0.0,0.0,181647.13,0.0 +546.0,France,Female,52.0,2.0,0.0,1.0,1.0,0.0,137332.37,0.0 +678.0,Germany,Female,44.0,2.0,98009.13,2.0,0.0,1.0,31384.86, +670.0,Germany,Male,43.0,9.0,111677.88,1.0,1.0,0.0,178827.3, +752.0,France,Female,36.0,2.0,119912.46,1.0,1.0,0.0,124354.92,0.0 +698.0,France,Male,36.0,6.0,0.0,2.0,0.0,1.0,19231.98,0.0 +699.0,France,Female,39.0,1.0,0.0,2.0,0.0,0.0,93826.63,0.0 +652.0,France,Female,51.0,3.0,0.0,1.0,1.0,0.0,173989.47,0.0 +773.0,Germany,Female,36.0,4.0,105858.71,1.0,0.0,1.0,4395.45, +620.0,Germany,Male,35.0,0.0,76989.97,1.0,1.0,1.0,17242.79,0.0 +599.0,Germany,Male,39.0,2.0,188976.89,2.0,0.0,1.0,176142.09,1.0 +507.0,France,Male,33.0,7.0,0.0,2.0,1.0,1.0,85411.01,0.0 +690.0,Spain,Female,30.0,5.0,0.0,2.0,0.0,1.0,78700.03, +679.0,France,Female,24.0,6.0,114948.76,2.0,0.0,1.0,135768.25,0.0 +728.0,Germany,Male,32.0,5.0,61825.5,1.0,1.0,1.0,156124.93,0.0 +497.0,France,Female,29.0,4.0,85646.81,1.0,0.0,0.0,63233.02,0.0 +454.0,Spain,Male,40.0,2.0,123177.01,1.0,1.0,0.0,148309.98,0.0 +490.0,France,Male,39.0,1.0,0.0,3.0,1.0,0.0,171060.01,0.0 +540.0,Spain,Male,39.0,1.0,0.0,1.0,0.0,1.0,108419.41,0.0 +612.0,France,Female,33.0,0.0,64900.32,2.0,1.0,0.0,102426.12,0.0 +625.0,France,Male,39.0,2.0,0.0,2.0,1.0,0.0,100403.05,0.0 +634.0,France,Female,36.0,1.0,69518.95,1.0,1.0,0.0,116238.39, +679.0,Spain,Male,42.0,2.0,0.0,1.0,1.0,1.0,168294.27,0.0 +695.0,France,Male,29.0,5.0,0.0,2.0,1.0,1.0,6770.44,0.0 +691.0,France,Male,26.0,9.0,136623.19,1.0,1.0,0.0,153228.0,0.0 +678.0,France,Female,22.0,4.0,174852.89,1.0,1.0,1.0,28149.06,0.0 +595.0,Germany,Male,34.0,2.0,87967.42,2.0,0.0,1.0,156309.52,0.0 +761.0,Spain,Male,27.0,8.0,0.0,2.0,1.0,0.0,63297.7,0.0 +456.0,Spain,Male,32.0,9.0,147506.25,1.0,1.0,1.0,135399.21,0.0 +554.0,Spain,Female,45.0,4.0,0.0,2.0,1.0,1.0,193412.05,0.0 +539.0,Germany,Female,38.0,8.0,105435.74,1.0,0.0,0.0,80575.44,0.0 +631.0,France,Male,35.0,9.0,112392.45,2.0,1.0,0.0,24472.23,0.0 +570.0,France,Female,58.0,8.0,0.0,1.0,0.0,1.0,116503.92,0.0 +493.0,Spain,Female,48.0,7.0,0.0,2.0,1.0,0.0,48545.1,1.0 +514.0,Spain,Male,66.0,9.0,0.0,2.0,1.0,1.0,14234.31,0.0 +477.0,Germany,Female,24.0,2.0,95675.62,2.0,0.0,0.0,162699.7,0.0 +490.0,Spain,Female,48.0,8.0,155413.06,1.0,1.0,0.0,187921.3,0.0 +581.0,Germany,Male,50.0,2.0,143829.2,2.0,1.0,0.0,181224.24,0.0 +653.0,France,Male,51.0,3.0,0.0,1.0,1.0,0.0,170426.65,0.0 +523.0,France,Male,22.0,8.0,123374.46,1.0,1.0,1.0,124906.59, +534.0,France,Male,52.0,1.0,0.0,3.0,1.0,1.0,104035.41,0.0 +835.0,France,Male,28.0,2.0,163569.61,2.0,1.0,1.0,154559.28,0.0 +521.0,France,Male,43.0,8.0,0.0,1.0,1.0,1.0,93180.09, +745.0,France,Male,25.0,5.0,157993.15,2.0,1.0,0.0,146041.45,0.0 +755.0,France,Female,29.0,3.0,0.0,3.0,1.0,0.0,4733.94,0.0 +619.0,France,Female,28.0,3.0,0.0,2.0,1.0,0.0,53394.12, +785.0,France,Female,47.0,9.0,122031.55,1.0,1.0,1.0,33823.5,0.0 +752.0,France,Female,36.0,7.0,0.0,2.0,1.0,0.0,184866.86,0.0 +729.0,Germany,Male,40.0,5.0,113574.61,2.0,1.0,0.0,103396.08, +606.0,Spain,Male,42.0,10.0,0.0,2.0,1.0,0.0,177938.52,1.0 +841.0,France,Female,52.0,5.0,0.0,1.0,0.0,0.0,183239.71,1.0 +621.0,Spain,Female,59.0,2.0,0.0,2.0,1.0,1.0,171364.18, +556.0,France,Female,39.0,9.0,89588.35,1.0,1.0,1.0,94898.1,0.0 +507.0,Germany,Male,36.0,9.0,118214.32,3.0,1.0,0.0,119110.03, +597.0,Spain,Male,35.0,9.0,0.0,3.0,0.0,1.0,73181.39,1.0 +678.0,France,Female,26.0,1.0,0.0,2.0,1.0,0.0,45443.68,0.0 +705.0,France,Female,39.0,3.0,92224.56,1.0,1.0,1.0,54517.25, +762.0,Spain,Female,26.0,7.0,123709.46,2.0,1.0,1.0,169654.57,1.0 +456.0,France,Female,33.0,1.0,188285.68,1.0,0.0,0.0,58363.94,0.0 +581.0,France,Male,25.0,5.0,77886.53,2.0,1.0,0.0,150319.49, +754.0,Germany,Male,57.0,2.0,101134.87,2.0,1.0,1.0,70954.41,0.0 +844.0,France,Female,29.0,8.0,0.0,2.0,0.0,0.0,147342.03,0.0 +587.0,Spain,Male,51.0,3.0,83739.32,1.0,0.0,1.0,148798.45,0.0 +611.0,France,Male,30.0,9.0,0.0,2.0,1.0,1.0,148887.69, +705.0,Spain,Male,46.0,7.0,0.0,2.0,1.0,0.0,117273.35,0.0 +535.0,Spain,Female,49.0,7.0,115309.75,1.0,1.0,0.0,111421.77,1.0 +550.0,Spain,Male,45.0,0.0,0.0,2.0,0.0,1.0,70399.71,1.0 +706.0,Spain,Female,43.0,1.0,0.0,2.0,1.0,0.0,31962.77, +445.0,Germany,Female,34.0,7.0,131082.17,2.0,1.0,1.0,70618.0,1.0 +691.0,France,Male,28.0,1.0,0.0,2.0,0.0,0.0,92865.41,0.0 +582.0,France,Male,41.0,1.0,40488.76,1.0,1.0,0.0,128528.83, +636.0,France,Male,34.0,1.0,84055.43,1.0,0.0,0.0,37490.84,1.0 +430.0,France,Male,31.0,5.0,0.0,1.0,1.0,0.0,95655.16,0.0 +615.0,France,Male,39.0,4.0,133707.09,1.0,1.0,1.0,108152.75,1.0 +790.0,Germany,Female,25.0,5.0,152885.77,1.0,1.0,0.0,58214.79, +572.0,Spain,Male,23.0,2.0,126873.52,1.0,0.0,1.0,67040.12,0.0 +594.0,France,Male,37.0,2.0,0.0,2.0,0.0,1.0,95864.5, +711.0,Spain,Male,42.0,3.0,177626.77,3.0,0.0,1.0,16392.72, +756.0,Germany,Male,32.0,0.0,109528.16,2.0,1.0,1.0,56176.31,0.0 +668.0,Spain,Male,45.0,4.0,102486.21,2.0,1.0,1.0,158379.25, +769.0,France,Female,26.0,7.0,0.0,2.0,1.0,0.0,176843.53,0.0 +626.0,France,Female,39.0,0.0,0.0,2.0,1.0,1.0,83295.09, +538.0,France,Male,33.0,6.0,93791.38,1.0,1.0,1.0,199249.29,0.0 +805.0,Spain,Female,39.0,5.0,165272.13,1.0,1.0,0.0,14109.85,0.0 +556.0,France,Female,54.0,4.0,150005.38,1.0,1.0,0.0,157015.5,0.0 +763.0,Germany,Male,42.0,6.0,100160.75,1.0,1.0,0.0,33462.94,1.0 +584.0,Germany,Female,36.0,4.0,109646.83,1.0,1.0,1.0,70240.79, +850.0,Spain,Female,32.0,9.0,0.0,2.0,1.0,1.0,18924.92,0.0 +636.0,France,Male,44.0,2.0,0.0,2.0,0.0,0.0,86414.41, +551.0,France,Female,26.0,2.0,144258.52,1.0,1.0,0.0,49778.79, +765.0,France,Male,41.0,2.0,0.0,2.0,0.0,1.0,191215.61, +569.0,Spain,Female,41.0,4.0,139840.36,1.0,1.0,1.0,163524.7,1.0 +748.0,Germany,Female,40.0,3.0,103499.09,2.0,0.0,0.0,38153.19,0.0 +497.0,Germany,Female,32.0,8.0,111537.23,4.0,1.0,1.0,9497.99,0.0 +652.0,Germany,Female,26.0,1.0,131908.35,1.0,1.0,1.0,179269.79,0.0 +583.0,France,Female,31.0,4.0,158978.79,1.0,1.0,0.0,12538.92,0.0 +833.0,France,Male,37.0,8.0,151226.18,2.0,1.0,1.0,136129.49,0.0 +639.0,Spain,Male,34.0,5.0,139393.19,2.0,0.0,0.0,33950.08,0.0 +541.0,France,Male,29.0,7.0,127504.57,1.0,0.0,0.0,86173.92,0.0 +733.0,Germany,Female,33.0,7.0,187257.94,1.0,0.0,1.0,190430.81,0.0 +677.0,France,Male,38.0,4.0,0.0,2.0,1.0,0.0,187800.63,0.0 +773.0,Germany,Male,43.0,8.0,81844.91,2.0,1.0,1.0,35908.46,0.0 +536.0,Germany,Female,44.0,4.0,121898.82,1.0,0.0,0.0,131007.18,0.0 +569.0,France,Male,36.0,1.0,67087.69,1.0,1.0,0.0,154775.7,0.0 +550.0,Spain,Male,39.0,2.0,116120.19,2.0,1.0,1.0,195638.13,0.0 +779.0,Spain,Female,26.0,4.0,174318.13,2.0,0.0,1.0,38296.21,1.0 +645.0,France,Female,38.0,5.0,101430.3,2.0,0.0,1.0,4400.32,1.0 +507.0,Germany,Male,40.0,3.0,120105.43,1.0,1.0,0.0,92075.01, +594.0,Germany,Male,28.0,0.0,142574.71,2.0,1.0,0.0,129084.82,0.0 +721.0,Germany,Male,37.0,4.0,98459.6,1.0,0.0,0.0,90821.66,0.0 +805.0,Germany,Female,33.0,3.0,105663.56,2.0,0.0,1.0,33330.89,0.0 +805.0,Germany,Male,56.0,6.0,151802.29,1.0,1.0,0.0,46791.09,0.0 +822.0,France,Male,38.0,6.0,128289.7,3.0,1.0,0.0,9149.96,0.0 +633.0,Germany,Male,58.0,2.0,128137.42,2.0,1.0,0.0,147635.33, +615.0,France,Female,61.0,1.0,104267.7,1.0,1.0,0.0,62845.64,0.0 +604.0,France,Male,36.0,6.0,116229.85,2.0,1.0,1.0,79633.38,0.0 +538.0,Spain,Female,42.0,9.0,0.0,1.0,0.0,0.0,152855.96,0.0 +788.0,France,Female,43.0,10.0,0.0,2.0,1.0,1.0,116111.51,0.0 +666.0,Spain,Female,36.0,6.0,0.0,2.0,1.0,0.0,176692.87, +584.0,Germany,Female,31.0,6.0,152622.34,1.0,1.0,0.0,99298.8,0.0 +617.0,Spain,Female,45.0,1.0,0.0,1.0,1.0,0.0,143298.06,0.0 +630.0,France,Male,40.0,8.0,0.0,2.0,1.0,1.0,42495.81,1.0 +445.0,France,Male,64.0,2.0,136770.67,1.0,0.0,1.0,43678.06, +800.0,Germany,Male,39.0,4.0,95252.72,1.0,1.0,0.0,13906.34, +659.0,France,Female,38.0,3.0,0.0,2.0,1.0,0.0,158553.1,0.0 +756.0,Germany,Male,36.0,2.0,136815.64,1.0,1.0,1.0,170041.95,0.0 +655.0,Spain,Female,78.0,2.0,0.0,2.0,0.0,1.0,188435.38,0.0 +738.0,Germany,Female,40.0,6.0,114940.67,2.0,1.0,1.0,194895.57, +583.0,France,Male,48.0,3.0,91246.53,1.0,1.0,0.0,60017.46, +741.0,Germany,Male,36.0,8.0,116993.43,2.0,1.0,0.0,168816.22,0.0 +696.0,France,Male,19.0,1.0,110928.51,1.0,1.0,1.0,2766.63,0.0 +461.0,Spain,Female,35.0,8.0,0.0,1.0,1.0,0.0,132295.95,0.0 +491.0,France,Female,72.0,6.0,91285.22,1.0,1.0,1.0,7032.95,0.0 +553.0,France,Male,31.0,6.0,0.0,2.0,0.0,0.0,124596.63,0.0 +612.0,France,Female,33.0,9.0,0.0,1.0,0.0,0.0,142797.5,0.0 +785.0,Germany,Female,36.0,2.0,99806.85,1.0,0.0,1.0,36976.52,1.0 +584.0,Spain,Female,37.0,8.0,0.0,2.0,0.0,1.0,100835.19,1.0 +549.0,France,Female,52.0,1.0,0.0,1.0,0.0,1.0,8636.05,0.0 +571.0,Germany,Female,34.0,1.0,101736.66,1.0,0.0,1.0,195651.66,0.0 +737.0,France,Male,36.0,9.0,0.0,1.0,0.0,1.0,188670.9,0.0 +580.0,France,Female,23.0,5.0,113923.81,2.0,0.0,0.0,196241.43,0.0 +654.0,France,Female,35.0,2.0,90865.8,1.0,1.0,1.0,86764.46,0.0 +675.0,Spain,Male,32.0,8.0,197436.82,1.0,1.0,1.0,52710.7,0.0 +742.0,Germany,Male,27.0,5.0,190125.43,2.0,0.0,0.0,21793.59, +517.0,Germany,Female,59.0,8.0,154110.99,2.0,1.0,0.0,101240.08,0.0 +530.0,France,Female,55.0,4.0,120905.03,1.0,0.0,1.0,123475.88,0.0 +518.0,France,Male,38.0,3.0,90957.81,1.0,0.0,1.0,162304.59,0.0 +711.0,Spain,Female,28.0,5.0,0.0,2.0,1.0,1.0,93959.96,0.0 +644.0,France,Male,37.0,2.0,186347.97,2.0,1.0,0.0,92809.73,0.0 +686.0,Germany,Male,39.0,3.0,129626.19,2.0,1.0,1.0,103220.56, +528.0,France,Female,32.0,4.0,85615.66,2.0,1.0,0.0,156192.43,0.0 +689.0,France,Male,39.0,4.0,0.0,2.0,1.0,0.0,196112.45,0.0 +430.0,France,Male,35.0,1.0,118894.22,1.0,0.0,0.0,2923.61,0.0 +529.0,Spain,Male,31.0,6.0,0.0,1.0,1.0,0.0,10625.91,1.0 +757.0,France,Male,46.0,0.0,0.0,2.0,1.0,0.0,37460.05,0.0 +811.0,France,Male,30.0,6.0,0.0,2.0,1.0,1.0,180591.32, +693.0,France,Female,43.0,4.0,152341.55,1.0,1.0,0.0,9241.78,0.0 +696.0,Germany,Male,38.0,6.0,142316.14,1.0,1.0,1.0,8018.49,0.0 +743.0,Spain,Male,45.0,7.0,157332.26,1.0,1.0,0.0,125424.42,1.0 +683.0,Germany,Female,39.0,2.0,47685.47,2.0,1.0,1.0,86019.48,0.0 +614.0,Germany,Female,44.0,6.0,118715.86,1.0,1.0,0.0,133591.11,0.0 +747.0,Germany,Male,58.0,7.0,116313.57,1.0,1.0,1.0,190696.35,1.0 +747.0,Germany,Male,38.0,2.0,129728.6,1.0,1.0,0.0,89289.54,0.0 +582.0,Germany,Male,32.0,1.0,88938.62,1.0,1.0,1.0,10054.53,0.0 +653.0,Spain,Female,36.0,3.0,0.0,2.0,0.0,0.0,110525.6,0.0 +654.0,Spain,Female,36.0,5.0,0.0,2.0,0.0,0.0,157238.05,0.0 +731.0,France,Male,30.0,7.0,0.0,2.0,0.0,1.0,143086.09,0.0 +790.0,Spain,Female,46.0,9.0,0.0,1.0,0.0,0.0,14679.81,0.0 +647.0,Spain,Male,47.0,5.0,105603.21,2.0,1.0,1.0,157360.9, +607.0,France,Male,25.0,3.0,0.0,2.0,0.0,0.0,187048.72,0.0 +564.0,France,Male,35.0,4.0,0.0,1.0,1.0,0.0,158937.55,0.0 +850.0,Spain,Male,51.0,3.0,109799.55,2.0,1.0,1.0,12457.76,0.0 +811.0,Germany,Female,34.0,1.0,149297.19,2.0,1.0,1.0,186339.74,0.0 +724.0,Germany,Male,31.0,9.0,138166.3,1.0,1.0,0.0,12920.43,0.0 +447.0,France,Male,41.0,3.0,0.0,4.0,1.0,1.0,197490.39,0.0 +597.0,Spain,Male,38.0,6.0,115702.67,2.0,1.0,1.0,25059.05, +526.0,Spain,Female,43.0,3.0,0.0,2.0,1.0,0.0,31705.19,0.0 +544.0,France,Female,64.0,3.0,124043.8,1.0,1.0,1.0,111402.97,1.0 +648.0,Spain,Female,56.0,6.0,157559.59,2.0,1.0,0.0,140991.23,0.0 +723.0,France,Male,48.0,7.0,0.0,2.0,1.0,1.0,150694.58,0.0 +765.0,France,Female,50.0,9.0,126547.8,1.0,1.0,1.0,79579.94,0.0 +776.0,Germany,Female,32.0,4.0,109421.13,2.0,1.0,1.0,126517.46,0.0 +796.0,Spain,Male,67.0,5.0,0.0,2.0,0.0,1.0,54871.02,0.0 +660.0,France,Female,43.0,1.0,0.0,1.0,0.0,1.0,112026.1, +477.0,Germany,Male,48.0,8.0,129250.0,2.0,1.0,1.0,157937.35,1.0 +716.0,France,Female,23.0,2.0,94464.81,2.0,0.0,1.0,185900.88, +609.0,France,Male,26.0,7.0,0.0,2.0,1.0,0.0,98463.99,0.0 +637.0,Spain,Male,37.0,8.0,0.0,1.0,1.0,1.0,186062.36,0.0 +612.0,Spain,Female,63.0,2.0,131629.17,2.0,1.0,0.0,122109.58,0.0 +716.0,Germany,Male,50.0,2.0,119655.77,1.0,1.0,1.0,12944.17,0.0 +565.0,France,Female,44.0,1.0,0.0,2.0,0.0,1.0,89602.81,0.0 +508.0,France,Male,26.0,7.0,205962.0,1.0,1.0,0.0,156424.4,0.0 +797.0,France,Male,31.0,9.0,0.0,2.0,1.0,1.0,24748.89,0.0 +560.0,France,Female,27.0,5.0,0.0,2.0,1.0,0.0,131919.48,1.0 +633.0,France,Male,31.0,1.0,0.0,1.0,1.0,0.0,48606.71,0.0 +682.0,France,Female,48.0,7.0,0.0,2.0,1.0,0.0,65069.03,0.0 +665.0,France,Male,35.0,8.0,110934.54,1.0,1.0,0.0,169287.99,0.0 +673.0,Spain,Female,37.0,0.0,0.0,2.0,0.0,0.0,82351.06,0.0 +505.0,Germany,Male,43.0,6.0,127146.68,1.0,0.0,0.0,137565.87,0.0 +561.0,Spain,Female,33.0,6.0,0.0,2.0,1.0,0.0,45261.47,1.0 +535.0,France,Male,47.0,0.0,160729.1,1.0,0.0,1.0,145986.35,1.0 +649.0,France,Female,35.0,4.0,108306.44,1.0,1.0,1.0,192486.24, +589.0,France,Male,37.0,7.0,85146.48,2.0,1.0,0.0,86490.09, +730.0,France,Female,36.0,8.0,148749.29,2.0,1.0,0.0,91830.75, +503.0,France,Female,37.0,8.0,0.0,2.0,1.0,1.0,97893.32,1.0 +634.0,France,Female,41.0,8.0,68213.99,1.0,1.0,1.0,6382.46,0.0 +633.0,Germany,Male,42.0,3.0,126041.02,1.0,0.0,1.0,11796.89,0.0 +660.0,Germany,Female,37.0,2.0,133200.09,1.0,0.0,0.0,71433.88,0.0 +668.0,Spain,Female,36.0,3.0,133686.52,1.0,1.0,0.0,190958.48, +577.0,Germany,Female,31.0,4.0,61211.18,1.0,1.0,1.0,145250.43,0.0 +529.0,France,Female,31.0,6.0,152310.55,1.0,1.0,0.0,13054.25, +581.0,Spain,Male,34.0,1.0,0.0,2.0,0.0,1.0,81175.25,1.0 +582.0,Spain,Male,26.0,4.0,65848.36,2.0,1.0,0.0,30149.21,0.0 +786.0,France,Male,34.0,9.0,0.0,2.0,1.0,0.0,144517.19,1.0 +642.0,France,Male,35.0,2.0,133161.95,1.0,0.0,1.0,122254.86,0.0 +520.0,Germany,Female,23.0,3.0,116022.53,2.0,1.0,1.0,37577.66,0.0 +753.0,France,Male,57.0,7.0,0.0,1.0,1.0,0.0,159475.08,1.0 +545.0,France,Male,23.0,2.0,0.0,2.0,1.0,0.0,189613.12,1.0 +700.0,France,Male,38.0,8.0,134811.3,1.0,1.0,0.0,1299.75,1.0 +548.0,France,Female,28.0,8.0,116755.5,2.0,1.0,1.0,158585.17,1.0 +650.0,Germany,Female,35.0,3.0,165982.43,2.0,1.0,1.0,24482.16, +699.0,Spain,Female,50.0,0.0,158633.61,1.0,1.0,0.0,193785.87,0.0 +712.0,France,Female,31.0,7.0,0.0,2.0,1.0,0.0,170333.38,1.0 +544.0,France,Male,37.0,3.0,84496.71,1.0,0.0,0.0,79972.09,0.0 +715.0,France,Male,41.0,4.0,94267.9,1.0,0.0,1.0,152821.12,0.0 +713.0,Spain,Female,26.0,4.0,122857.46,2.0,1.0,0.0,144682.17, +809.0,Germany,Female,42.0,6.0,64497.94,3.0,0.0,1.0,182436.81,1.0 +807.0,Germany,Female,42.0,9.0,105356.09,2.0,1.0,1.0,130489.37,0.0 +689.0,Spain,Male,40.0,2.0,0.0,2.0,1.0,1.0,164768.82,0.0 +842.0,Spain,Male,46.0,9.0,0.0,1.0,0.0,0.0,17268.02,1.0 +850.0,Germany,Female,33.0,2.0,83415.04,1.0,0.0,1.0,74917.64,0.0 +480.0,Germany,Male,44.0,10.0,129608.57,1.0,1.0,0.0,5472.7,0.0 +670.0,France,Male,36.0,7.0,0.0,2.0,0.0,0.0,59571.5,1.0 +695.0,France,Male,43.0,1.0,100421.1,1.0,1.0,1.0,101141.28,0.0 +718.0,Spain,Male,32.0,8.0,0.0,2.0,1.0,1.0,41399.33,0.0 +528.0,France,Male,37.0,6.0,103772.45,1.0,1.0,0.0,197111.99,1.0 +568.0,Spain,Female,36.0,10.0,153610.61,1.0,1.0,1.0,54083.8,0.0 +411.0,France,Male,29.0,0.0,59697.17,2.0,1.0,1.0,53483.21,0.0 +698.0,Germany,Male,52.0,10.0,107304.39,3.0,1.0,0.0,28806.32, +721.0,Spain,Male,43.0,3.0,88798.34,1.0,0.0,0.0,45610.63,0.0 +615.0,France,Male,34.0,1.0,83503.11,2.0,1.0,1.0,73124.53, +702.0,France,Male,40.0,7.0,145536.9,1.0,0.0,1.0,135334.24,0.0 +811.0,Spain,Male,44.0,3.0,0.0,2.0,0.0,1.0,78439.73,0.0 +627.0,France,Female,55.0,2.0,159441.27,1.0,1.0,0.0,100686.11,0.0 +750.0,France,Male,33.0,2.0,152302.72,1.0,1.0,0.0,71333.44,0.0 +652.0,France,Female,37.0,4.0,92208.54,1.0,0.0,1.0,197699.8,0.0 +621.0,France,Male,40.0,10.0,163823.37,1.0,0.0,0.0,89519.47, +691.0,Spain,Male,40.0,1.0,0.0,2.0,1.0,1.0,145613.17,0.0 +776.0,France,Male,39.0,8.0,125211.55,2.0,1.0,0.0,144496.07, +707.0,France,Female,58.0,3.0,102346.86,1.0,1.0,1.0,114672.64,0.0 +653.0,France,Male,29.0,2.0,0.0,2.0,1.0,1.0,41671.81,0.0 +766.0,Germany,Male,44.0,3.0,116822.7,1.0,0.0,0.0,197643.24,0.0 +657.0,Spain,Male,36.0,8.0,188241.05,2.0,0.0,0.0,183058.51,1.0 +624.0,Germany,Female,40.0,3.0,149961.99,2.0,1.0,0.0,104610.86, +600.0,France,Female,32.0,1.0,78535.25,1.0,1.0,0.0,64349.6,0.0 +725.0,France,Male,66.0,4.0,86459.8,1.0,1.0,1.0,141476.56,1.0 +695.0,France,Female,29.0,9.0,0.0,2.0,1.0,0.0,111565.45,0.0 +680.0,Spain,Male,42.0,0.0,0.0,1.0,1.0,0.0,136377.21,0.0 +729.0,France,Female,32.0,9.0,0.0,2.0,0.0,0.0,150803.44,0.0 +586.0,France,Female,38.0,6.0,0.0,2.0,1.0,1.0,37935.83, +714.0,France,Female,25.0,4.0,0.0,2.0,0.0,0.0,82500.84,1.0 +695.0,France,Male,36.0,4.0,161533.0,1.0,1.0,0.0,100940.91,0.0 +680.0,France,Male,49.0,10.0,0.0,2.0,1.0,0.0,187008.45, +484.0,Spain,Female,39.0,5.0,0.0,2.0,1.0,1.0,175224.12,0.0 +463.0,France,Male,35.0,2.0,101257.16,1.0,1.0,1.0,118113.64,0.0 +562.0,Spain,Male,41.0,5.0,165445.04,2.0,1.0,0.0,85787.31,1.0 +620.0,Spain,Male,36.0,7.0,169312.72,1.0,1.0,0.0,45414.09, +684.0,Germany,Female,46.0,3.0,102955.14,2.0,1.0,0.0,154137.33,0.0 +626.0,France,Male,38.0,7.0,141074.59,1.0,1.0,0.0,52795.56,0.0 +766.0,Germany,Female,62.0,7.0,142724.48,1.0,0.0,1.0,5893.23,0.0 +576.0,Spain,Male,26.0,8.0,0.0,2.0,0.0,1.0,34101.06, +512.0,Spain,Male,31.0,6.0,0.0,2.0,1.0,0.0,168462.26,0.0 +724.0,France,Male,34.0,2.0,154485.74,2.0,0.0,0.0,78560.64,1.0 +572.0,Spain,Male,35.0,4.0,152390.26,1.0,1.0,0.0,128123.66,0.0 +523.0,Spain,Male,34.0,7.0,0.0,2.0,1.0,0.0,62030.06,0.0 +519.0,France,Male,36.0,9.0,0.0,2.0,0.0,1.0,145562.4,0.0 +538.0,Spain,Female,49.0,9.0,141434.04,1.0,0.0,0.0,173779.25,0.0 +791.0,Germany,Female,35.0,7.0,52436.2,1.0,1.0,0.0,161051.75,0.0 +598.0,Spain,Female,39.0,5.0,0.0,2.0,1.0,1.0,83103.46,0.0 +653.0,France,Female,32.0,4.0,83772.95,1.0,0.0,1.0,23920.65,0.0 +563.0,Spain,Female,46.0,8.0,106171.68,1.0,1.0,0.0,163145.5,1.0 +670.0,France,Female,42.0,1.0,115961.58,2.0,0.0,1.0,29483.87,0.0 +771.0,Spain,Male,45.0,0.0,139825.56,1.0,0.0,0.0,170984.97,0.0 +613.0,Germany,Male,59.0,8.0,91415.76,1.0,0.0,0.0,27965.0,0.0 +579.0,Spain,Male,56.0,4.0,99340.83,1.0,0.0,0.0,4523.74,0.0 +778.0,France,Male,34.0,5.0,139064.06,2.0,0.0,0.0,67949.32,0.0 +685.0,Germany,Female,21.0,6.0,97956.5,1.0,1.0,1.0,164966.27,0.0 +586.0,France,Female,52.0,6.0,140900.97,1.0,1.0,1.0,67288.89, +600.0,Germany,Female,29.0,6.0,74430.1,2.0,1.0,1.0,96051.1, +585.0,France,Female,28.0,6.0,105795.9,1.0,1.0,1.0,41219.09,0.0 +593.0,Germany,Female,39.0,8.0,151391.68,1.0,1.0,0.0,27274.6,0.0 +760.0,Spain,Female,32.0,2.0,0.0,1.0,1.0,1.0,114565.35, +588.0,France,Female,34.0,3.0,120777.88,1.0,1.0,1.0,131729.52,1.0 +526.0,France,Male,36.0,1.0,0.0,1.0,1.0,0.0,160696.72,0.0 +677.0,Germany,Female,26.0,6.0,98723.67,1.0,0.0,1.0,151146.67, +609.0,Spain,Male,39.0,2.0,139443.75,2.0,1.0,0.0,9234.06,0.0 +719.0,France,Male,61.0,5.0,0.0,2.0,0.0,1.0,29132.43,0.0 +621.0,Germany,Female,34.0,2.0,91258.52,2.0,1.0,0.0,44857.4,0.0 +792.0,Germany,Male,36.0,5.0,115725.24,2.0,0.0,0.0,1871.25,0.0 +592.0,France,Male,36.0,1.0,126477.42,1.0,0.0,0.0,179718.17,0.0 +631.0,France,Female,31.0,8.0,137687.72,1.0,1.0,0.0,190067.12,0.0 +522.0,Spain,Male,30.0,3.0,0.0,2.0,1.0,0.0,145490.85,0.0 +702.0,France,Male,45.0,0.0,80793.58,1.0,1.0,1.0,27474.81,1.0 +550.0,France,Male,31.0,5.0,142200.19,2.0,1.0,1.0,122221.71,1.0 +783.0,Spain,Male,38.0,1.0,0.0,3.0,1.0,1.0,80178.54,0.0 +662.0,France,Female,38.0,2.0,96479.81,1.0,1.0,0.0,120259.41,0.0 +542.0,France,Female,43.0,8.0,145618.37,1.0,0.0,1.0,10350.74,0.0 +640.0,Germany,Female,74.0,2.0,116800.25,1.0,1.0,1.0,34130.43,0.0 +709.0,France,Male,38.0,5.0,0.0,2.0,1.0,1.0,81452.29,0.0 +673.0,Spain,Female,35.0,6.0,0.0,2.0,1.0,0.0,98618.79, +710.0,France,Female,37.0,5.0,0.0,2.0,1.0,0.0,115403.31,0.0 +715.0,Germany,Female,32.0,3.0,104857.19,2.0,1.0,0.0,114149.8,0.0 +597.0,Spain,Female,33.0,2.0,0.0,2.0,1.0,1.0,4700.66, +630.0,Spain,Male,41.0,7.0,107511.52,1.0,0.0,1.0,46156.87,0.0 +653.0,Spain,Female,38.0,9.0,149571.94,1.0,1.0,0.0,118383.18,0.0 +703.0,Germany,Male,35.0,5.0,140691.08,2.0,1.0,0.0,167810.26,1.0 +683.0,Germany,Female,49.0,7.0,108797.63,2.0,0.0,0.0,140763.18,0.0 +602.0,France,Female,25.0,0.0,0.0,2.0,1.0,1.0,101274.17,1.0 +684.0,Spain,Female,36.0,4.0,0.0,1.0,1.0,0.0,117038.96,1.0 +706.0,France,Male,32.0,6.0,94486.47,1.0,1.0,1.0,146949.74,0.0 +747.0,France,Male,29.0,7.0,0.0,2.0,1.0,1.0,141706.43, +673.0,Spain,Female,57.0,4.0,0.0,2.0,1.0,1.0,49684.09,0.0 +473.0,France,Female,25.0,6.0,110666.42,2.0,0.0,0.0,46758.42,1.0 +600.0,France,Male,40.0,1.0,141136.79,1.0,1.0,1.0,67803.83,0.0 +618.0,France,Female,42.0,2.0,0.0,4.0,0.0,0.0,111097.39,0.0 +605.0,France,Male,39.0,6.0,111169.91,1.0,0.0,0.0,9641.4,0.0 +513.0,Spain,Male,48.0,2.0,0.0,1.0,1.0,1.0,114709.13,0.0 +777.0,Spain,Female,35.0,3.0,0.0,2.0,1.0,1.0,17257.72,1.0 +634.0,Germany,Male,37.0,1.0,89696.84,2.0,1.0,1.0,193179.88,0.0 +695.0,France,Male,36.0,6.0,114007.5,2.0,1.0,0.0,118120.88,0.0 +682.0,France,Male,38.0,4.0,107192.38,1.0,1.0,1.0,15669.17,0.0 +544.0,France,Male,44.0,1.0,0.0,2.0,0.0,0.0,69244.24,0.0 +635.0,Spain,Male,35.0,2.0,113635.16,1.0,1.0,0.0,90883.12,0.0 +620.0,Germany,Male,39.0,9.0,159492.79,1.0,1.0,0.0,80582.34,0.0 +677.0,Spain,Female,43.0,3.0,133214.88,2.0,1.0,1.0,95936.84,0.0 +808.0,Spain,Male,25.0,7.0,0.0,2.0,0.0,1.0,23180.37,0.0 +499.0,France,Female,28.0,4.0,141792.61,1.0,1.0,1.0,22001.91, +730.0,France,Male,33.0,0.0,0.0,2.0,1.0,0.0,1474.79,0.0 +706.0,Germany,Male,36.0,9.0,58571.18,2.0,1.0,0.0,40774.01, +762.0,France,Male,31.0,7.0,117687.35,1.0,1.0,1.0,159344.43,0.0 +667.0,Germany,Female,37.0,5.0,92171.35,3.0,1.0,0.0,178106.34,1.0 +779.0,France,Male,32.0,10.0,80728.15,1.0,1.0,0.0,86306.75,0.0 +642.0,Germany,Female,30.0,5.0,129753.69,1.0,1.0,0.0,582.53,1.0 +718.0,Spain,Female,49.0,10.0,82321.88,1.0,0.0,1.0,11144.4, +751.0,Germany,Male,50.0,2.0,96888.39,1.0,1.0,0.0,77206.25,0.0 +563.0,France,Female,34.0,6.0,0.0,2.0,0.0,0.0,36536.93,1.0 +608.0,France,Female,41.0,5.0,0.0,2.0,1.0,1.0,72462.25, +593.0,France,Female,33.0,0.0,95927.04,1.0,1.0,0.0,199478.05, +799.0,Spain,Male,35.0,7.0,0.0,2.0,0.0,1.0,140780.8,1.0 +676.0,France,Female,41.0,4.0,101457.14,1.0,1.0,1.0,79101.67,0.0 +602.0,Germany,Male,38.0,2.0,71667.97,2.0,0.0,0.0,137111.89, +577.0,France,Female,32.0,1.0,0.0,2.0,1.0,0.0,9902.39,0.0 +748.0,France,Male,40.0,3.0,95297.11,1.0,0.0,0.0,171515.84,0.0 +651.0,France,Female,41.0,4.0,38617.2,1.0,1.0,1.0,104876.8,0.0 +431.0,Germany,Male,42.0,8.0,120822.86,2.0,1.0,0.0,126153.24,0.0 +625.0,Spain,Female,69.0,1.0,107569.96,1.0,1.0,1.0,182336.45,0.0 +658.0,Spain,Male,21.0,7.0,0.0,2.0,0.0,1.0,154279.87,0.0 +589.0,Germany,Female,19.0,9.0,83495.11,1.0,1.0,1.0,143022.31,0.0 +628.0,France,Female,45.0,8.0,0.0,2.0,1.0,0.0,193903.06,0.0 +562.0,Spain,Male,32.0,6.0,161628.66,1.0,1.0,0.0,91482.5,0.0 +654.0,France,Male,55.0,3.0,87485.67,1.0,1.0,1.0,3299.01, +470.0,Spain,Male,34.0,9.0,0.0,2.0,0.0,1.0,89013.67,1.0 +811.0,France,Male,46.0,9.0,180226.24,1.0,1.0,0.0,13464.64,0.0 +646.0,Spain,Male,31.0,2.0,0.0,1.0,1.0,1.0,170821.43,1.0 +350.0,Spain,Male,54.0,1.0,152677.48,1.0,1.0,1.0,191973.49,0.0 +652.0,Spain,Female,38.0,6.0,123081.84,2.0,1.0,1.0,188657.97,0.0 +654.0,Spain,Male,40.0,5.0,105683.63,1.0,1.0,0.0,173617.09,1.0 +628.0,Germany,Male,39.0,1.0,115341.19,1.0,1.0,1.0,107674.3,0.0 +611.0,Germany,Male,31.0,0.0,107884.81,2.0,1.0,1.0,183487.98,0.0 +769.0,Germany,Male,43.0,4.0,110182.54,2.0,1.0,1.0,87537.32,0.0 +563.0,Spain,Female,36.0,4.0,143680.47,2.0,1.0,1.0,63531.19, +532.0,France,Male,44.0,3.0,148595.55,1.0,1.0,0.0,74838.64,0.0 +698.0,Spain,Female,39.0,9.0,161993.89,1.0,0.0,0.0,90212.38,0.0 +675.0,Spain,Male,31.0,2.0,90826.27,2.0,1.0,0.0,60270.87, +672.0,Germany,Female,23.0,10.0,110741.56,1.0,1.0,0.0,80778.5,1.0 +802.0,Spain,Male,40.0,4.0,0.0,2.0,1.0,1.0,81908.09, +615.0,Spain,Male,32.0,5.0,138521.83,1.0,1.0,1.0,56897.1, +499.0,France,Female,21.0,3.0,176511.08,1.0,1.0,1.0,153920.22, +761.0,France,Female,26.0,1.0,0.0,2.0,1.0,1.0,199409.19,0.0 +762.0,Spain,Male,29.0,10.0,115545.33,2.0,1.0,0.0,148256.43,0.0 +709.0,Spain,Male,35.0,2.0,0.0,2.0,1.0,0.0,104982.39,0.0 +577.0,Germany,Female,59.0,7.0,111396.97,1.0,0.0,1.0,191070.01, +573.0,France,Female,27.0,4.0,0.0,2.0,1.0,1.0,157549.6,0.0 +622.0,France,Female,35.0,5.0,0.0,2.0,1.0,0.0,51112.8,0.0 +599.0,Spain,Male,25.0,3.0,0.0,2.0,1.0,1.0,120790.02, +664.0,France,Male,57.0,1.0,0.0,2.0,1.0,1.0,56562.57, +689.0,Spain,Female,45.0,0.0,57784.22,1.0,1.0,0.0,197804.0,1.0 +718.0,France,Female,37.0,7.0,0.0,2.0,1.0,1.0,55100.09,0.0 +545.0,Germany,Female,44.0,2.0,127536.44,1.0,1.0,0.0,108398.63,0.0 +650.0,Spain,Male,41.0,9.0,0.0,2.0,0.0,1.0,191599.67,0.0 +633.0,France,Female,36.0,6.0,125130.28,1.0,0.0,0.0,125961.48,0.0 +609.0,Germany,Female,40.0,10.0,137389.77,2.0,1.0,0.0,170122.22, +687.0,Germany,Female,41.0,2.0,154007.21,1.0,1.0,0.0,158408.23,1.0 +617.0,France,Male,41.0,7.0,0.0,2.0,0.0,1.0,14496.67,0.0 +528.0,France,Male,30.0,2.0,128262.72,2.0,1.0,0.0,50771.16,0.0 +641.0,France,Female,52.0,4.0,0.0,1.0,1.0,0.0,90964.54, +648.0,Spain,Female,28.0,9.0,102282.61,1.0,1.0,1.0,157891.11,0.0 +704.0,Germany,Male,41.0,4.0,109026.8,2.0,1.0,1.0,43117.1, +615.0,Spain,Male,41.0,1.0,126773.43,1.0,1.0,1.0,55551.26,0.0 +515.0,France,Female,58.0,2.0,131852.81,1.0,1.0,0.0,81436.68,0.0 +457.0,Germany,Male,42.0,4.0,126772.57,1.0,0.0,1.0,126106.4,0.0 +696.0,France,Female,30.0,8.0,0.0,2.0,1.0,1.0,196134.44,0.0 +624.0,Spain,Female,28.0,2.0,0.0,2.0,0.0,1.0,104353.26,0.0 +502.0,Germany,Female,42.0,0.0,132002.7,1.0,0.0,1.0,28204.98,0.0 +632.0,Spain,Female,40.0,3.0,109740.62,1.0,1.0,0.0,141896.74,0.0 +598.0,Germany,Female,27.0,10.0,171283.91,1.0,1.0,1.0,84136.12,0.0 +660.0,Germany,Female,29.0,6.0,180520.29,1.0,1.0,1.0,123850.58,0.0 +530.0,Germany,Male,23.0,1.0,137060.88,2.0,1.0,1.0,165227.23,0.0 +691.0,France,Female,33.0,6.0,0.0,2.0,1.0,1.0,100408.31,0.0 +582.0,France,Male,50.0,2.0,148942.0,1.0,1.0,1.0,116944.3, +580.0,Germany,Male,44.0,9.0,143391.07,1.0,0.0,0.0,146891.07,0.0 +627.0,Germany,Male,62.0,3.0,143426.34,2.0,1.0,1.0,143104.3,0.0 +627.0,Spain,Female,30.0,6.0,0.0,1.0,1.0,1.0,113408.47,0.0 +510.0,France,Male,65.0,2.0,0.0,2.0,1.0,1.0,48071.61,0.0 +731.0,Spain,Female,40.0,5.0,171325.98,1.0,1.0,1.0,159718.27, +850.0,France,Female,32.0,5.0,106290.64,1.0,1.0,0.0,121982.73,0.0 +739.0,Germany,Male,29.0,3.0,59385.98,2.0,1.0,1.0,105533.96,0.0 +655.0,Germany,Male,32.0,9.0,113447.01,1.0,1.0,0.0,82084.3,0.0 +675.0,France,Male,49.0,8.0,135133.39,1.0,0.0,1.0,179521.24,0.0 +649.0,France,Male,46.0,5.0,0.0,2.0,1.0,1.0,76946.6,0.0 +556.0,France,Male,40.0,5.0,125909.85,1.0,1.0,1.0,95124.4,0.0 +549.0,Germany,Female,49.0,6.0,124829.16,1.0,0.0,1.0,93551.36,0.0 +632.0,Spain,Male,47.0,3.0,0.0,2.0,1.0,0.0,178822.32,0.0 +587.0,Spain,Male,62.0,7.0,121286.27,1.0,0.0,1.0,6776.92,0.0 +618.0,Spain,Male,32.0,5.0,133476.09,1.0,0.0,1.0,154843.4,1.0 +588.0,Germany,Male,41.0,2.0,131341.46,2.0,0.0,1.0,7034.94, +469.0,France,Male,33.0,1.0,127818.52,1.0,1.0,0.0,163477.22, +712.0,France,Male,33.0,2.0,182888.08,1.0,1.0,0.0,3061.0,0.0 +507.0,Germany,Female,46.0,8.0,102785.16,1.0,1.0,1.0,70323.68,0.0 +767.0,Germany,Female,45.0,7.0,132746.2,2.0,1.0,0.0,26628.88, +596.0,Spain,Male,30.0,6.0,121345.88,4.0,1.0,0.0,41921.75,1.0 +625.0,Spain,Male,32.0,7.0,106957.28,1.0,1.0,1.0,134794.02,0.0 +718.0,Spain,Male,39.0,6.0,0.0,2.0,0.0,1.0,63889.1,1.0 +555.0,Germany,Female,51.0,9.0,138214.5,1.0,1.0,0.0,198715.27,0.0 +477.0,France,Female,57.0,9.0,114023.64,2.0,1.0,1.0,71167.17,0.0 +727.0,Spain,Female,49.0,7.0,96296.78,1.0,1.0,0.0,190457.87, +764.0,France,Female,39.0,1.0,129068.54,2.0,1.0,1.0,187905.12,0.0 +650.0,Spain,Male,61.0,1.0,152968.73,1.0,0.0,1.0,82970.69,0.0 +607.0,Spain,Male,36.0,8.0,158261.68,1.0,1.0,1.0,76744.72,0.0 +471.0,Spain,Male,26.0,8.0,0.0,2.0,1.0,1.0,179655.87,0.0 +821.0,France,Female,28.0,8.0,0.0,1.0,1.0,1.0,36754.13,0.0 +575.0,France,Male,40.0,5.0,0.0,2.0,1.0,1.0,122488.59,0.0 +742.0,France,Male,33.0,6.0,0.0,2.0,0.0,0.0,38550.4, +767.0,France,Female,35.0,2.0,0.0,2.0,0.0,0.0,144251.38, +551.0,France,Female,45.0,6.0,0.0,2.0,1.0,1.0,51143.43,0.0 +698.0,Germany,Male,39.0,9.0,133191.19,2.0,0.0,1.0,53289.49,0.0 +785.0,Spain,Female,54.0,1.0,0.0,2.0,1.0,0.0,45113.92,0.0 +579.0,Spain,Female,31.0,9.0,0.0,2.0,1.0,0.0,112395.98,0.0 +626.0,Spain,Male,62.0,3.0,0.0,1.0,1.0,1.0,65010.74,1.0 +623.0,France,Female,34.0,9.0,0.0,1.0,1.0,0.0,24255.21, +644.0,France,Male,30.0,5.0,44928.88,1.0,1.0,1.0,10771.46,1.0 +597.0,France,Female,24.0,1.0,103219.47,1.0,1.0,0.0,60420.07,0.0 +555.0,France,Male,30.0,1.0,0.0,2.0,0.0,0.0,88146.86,1.0 +445.0,Germany,Female,61.0,2.0,137655.31,1.0,0.0,1.0,29909.84, +620.0,Spain,Male,42.0,9.0,121490.05,1.0,1.0,1.0,29296.74,1.0 +484.0,Germany,Female,34.0,4.0,148249.54,1.0,0.0,1.0,33738.27,0.0 +685.0,France,Male,23.0,8.0,0.0,2.0,1.0,1.0,112239.03,1.0 +717.0,France,Male,42.0,5.0,0.0,2.0,1.0,0.0,172665.21,0.0 +569.0,France,Female,44.0,4.0,0.0,2.0,0.0,0.0,134394.78,1.0 +718.0,Germany,Female,39.0,7.0,93148.74,2.0,1.0,1.0,190746.38,0.0 +584.0,France,Female,40.0,4.0,82441.75,1.0,0.0,0.0,80852.11, +646.0,France,Male,50.0,0.0,104129.24,2.0,1.0,0.0,181794.86,0.0 +581.0,Germany,Male,40.0,0.0,101016.53,1.0,0.0,1.0,7926.35,0.0 +581.0,France,Male,35.0,4.0,0.0,2.0,0.0,1.0,86383.82,0.0 +815.0,Spain,Female,39.0,6.0,0.0,1.0,1.0,1.0,85167.88,1.0 +671.0,Spain,Female,31.0,4.0,0.0,2.0,0.0,1.0,79270.02,1.0 +530.0,France,Female,45.0,1.0,0.0,1.0,0.0,1.0,190663.89, +679.0,France,Female,39.0,4.0,0.0,1.0,0.0,0.0,172939.3, +757.0,Germany,Male,30.0,6.0,105128.85,2.0,1.0,1.0,62972.13,0.0 +591.0,France,Male,49.0,3.0,0.0,2.0,1.0,0.0,50123.44, +717.0,Spain,Female,42.0,5.0,190305.78,1.0,1.0,0.0,99347.8,0.0 +462.0,Germany,Female,24.0,9.0,69881.09,2.0,0.0,1.0,64421.02,1.0 +775.0,Germany,Male,32.0,8.0,121669.23,1.0,0.0,1.0,125898.39,1.0 +790.0,Spain,Female,37.0,3.0,0.0,3.0,0.0,0.0,98897.32,1.0 +771.0,France,Female,23.0,7.0,156123.73,1.0,1.0,0.0,72990.62,0.0 +676.0,France,Male,37.0,10.0,106242.67,1.0,1.0,1.0,166678.28,1.0 +550.0,Germany,Male,29.0,9.0,145294.08,2.0,1.0,0.0,147484.13,0.0 +706.0,Spain,Male,30.0,6.0,87609.68,2.0,0.0,0.0,137674.55,0.0 +736.0,Germany,Male,46.0,5.0,130812.91,1.0,1.0,1.0,77981.54,0.0 +679.0,Spain,Female,40.0,7.0,0.0,2.0,1.0,1.0,163757.29, +728.0,Spain,Male,42.0,8.0,0.0,2.0,0.0,1.0,41823.22, +731.0,France,Male,29.0,10.0,0.0,2.0,1.0,1.0,162452.65,0.0 +654.0,France,Male,32.0,9.0,121455.65,1.0,1.0,0.0,190068.53,0.0 +736.0,France,Male,27.0,5.0,51522.75,1.0,0.0,1.0,192131.77,0.0 +411.0,France,Female,36.0,10.0,0.0,1.0,0.0,0.0,120694.35,1.0 +725.0,France,Male,46.0,6.0,0.0,2.0,1.0,0.0,161767.38,0.0 +729.0,Germany,Male,46.0,5.0,117837.43,1.0,1.0,0.0,104016.61,0.0 +584.0,Germany,Female,37.0,10.0,134171.8,4.0,1.0,1.0,70927.11, +743.0,France,Male,40.0,8.0,68155.59,1.0,1.0,0.0,94876.65,0.0 +647.0,Germany,Male,37.0,3.0,116509.99,1.0,1.0,1.0,149517.71,0.0 +701.0,Germany,Male,41.0,9.0,164046.1,1.0,1.0,0.0,49405.93, +615.0,Spain,Male,61.0,9.0,0.0,2.0,1.0,0.0,150227.85,0.0 +611.0,France,Male,38.0,4.0,71018.6,2.0,1.0,0.0,2444.29, +584.0,France,Male,35.0,3.0,146311.58,1.0,1.0,1.0,105443.47,0.0 +699.0,France,Female,49.0,2.0,0.0,1.0,0.0,0.0,105760.01,1.0 +774.0,France,Male,49.0,1.0,142767.39,1.0,1.0,1.0,8214.41,0.0 +666.0,France,Female,36.0,8.0,0.0,1.0,0.0,1.0,158666.99,0.0 +637.0,Spain,Male,43.0,8.0,0.0,1.0,1.0,0.0,12156.93,0.0 +696.0,France,Male,27.0,4.0,87637.26,2.0,0.0,0.0,196111.35,1.0 +571.0,France,Female,53.0,2.0,0.0,2.0,1.0,0.0,28045.77, +594.0,Germany,Female,32.0,4.0,120074.97,2.0,1.0,1.0,162961.79, +530.0,France,Female,48.0,0.0,0.0,1.0,1.0,0.0,85081.09,0.0 +547.0,Germany,Male,55.0,4.0,111362.76,3.0,1.0,0.0,16922.28,1.0 +796.0,France,Female,45.0,2.0,109730.22,1.0,1.0,1.0,123882.73,0.0 +644.0,France,Male,28.0,7.0,155060.41,1.0,1.0,0.0,29179.52, +614.0,France,Male,46.0,4.0,0.0,1.0,1.0,0.0,74379.57,0.0 +607.0,Germany,Male,32.0,9.0,144272.07,2.0,1.0,0.0,176580.63, +562.0,France,Male,62.0,3.0,0.0,2.0,1.0,0.0,105986.01, +528.0,Spain,Male,23.0,7.0,104744.89,1.0,1.0,0.0,170262.97,1.0 +730.0,France,Male,23.0,8.0,0.0,2.0,1.0,0.0,183284.53, +543.0,Spain,Male,37.0,3.0,0.0,2.0,1.0,1.0,78915.68,0.0 +647.0,Germany,Female,43.0,3.0,122717.53,2.0,1.0,1.0,87000.39,0.0 +683.0,France,Female,40.0,1.0,0.0,2.0,0.0,0.0,75762.0, +644.0,France,Male,37.0,6.0,117271.8,2.0,1.0,0.0,104217.96, +653.0,Germany,Female,25.0,2.0,158266.42,3.0,1.0,1.0,199357.24,0.0 +736.0,France,Female,63.0,10.0,0.0,2.0,0.0,1.0,502.7,0.0 +540.0,Germany,Male,64.0,1.0,91869.69,1.0,0.0,1.0,95421.0,0.0 +720.0,France,Female,37.0,2.0,120328.88,2.0,1.0,1.0,138470.21,0.0 +777.0,France,Female,30.0,4.0,137851.31,1.0,1.0,0.0,5008.23,0.0 +756.0,Spain,Male,19.0,4.0,130274.22,1.0,1.0,1.0,133535.29,0.0 +636.0,Germany,Female,29.0,3.0,97325.15,1.0,0.0,1.0,131924.38,0.0 +688.0,Germany,Male,35.0,5.0,111578.18,1.0,0.0,0.0,166165.93,0.0 +594.0,France,Male,35.0,2.0,0.0,2.0,1.0,0.0,103480.69,0.0 +518.0,France,Female,45.0,9.0,105525.65,2.0,1.0,1.0,73418.29,1.0 +699.0,Spain,Male,47.0,1.0,0.0,2.0,0.0,1.0,30117.44,0.0 +641.0,France,Male,33.0,2.0,146193.6,2.0,1.0,1.0,55796.83,0.0 +757.0,Germany,Male,26.0,8.0,121581.56,2.0,1.0,1.0,127059.04,0.0 +782.0,France,Male,33.0,7.0,191523.09,1.0,1.0,1.0,167058.75,0.0 +680.0,Germany,Female,31.0,3.0,127331.46,3.0,1.0,1.0,176433.6,0.0 +681.0,Germany,Male,31.0,4.0,97338.19,2.0,0.0,0.0,48226.76, +569.0,France,Female,43.0,7.0,0.0,2.0,1.0,1.0,77703.19,0.0 +581.0,France,Female,55.0,6.0,0.0,1.0,1.0,1.0,22442.13,0.0 +780.0,Germany,Male,34.0,5.0,94108.54,2.0,1.0,0.0,177235.21,0.0 +444.0,France,Male,36.0,7.0,0.0,2.0,0.0,1.0,138743.86,1.0 +601.0,Spain,Female,44.0,4.0,0.0,2.0,1.0,0.0,58561.31,1.0 +623.0,Spain,Female,43.0,4.0,123536.52,2.0,0.0,0.0,154908.52, +730.0,Spain,Female,33.0,9.0,0.0,2.0,0.0,0.0,176576.62,0.0 +666.0,Germany,Male,30.0,3.0,110153.27,1.0,0.0,1.0,74849.46,0.0 +781.0,France,Female,38.0,3.0,128345.69,2.0,1.0,0.0,63218.85,1.0 +506.0,Germany,Male,59.0,8.0,119152.1,2.0,1.0,1.0,170679.74,0.0 +528.0,France,Male,35.0,3.0,156687.1,1.0,1.0,0.0,199320.77,0.0 +682.0,France,Male,26.0,8.0,0.0,2.0,1.0,0.0,178373.43,0.0 +551.0,Germany,Male,31.0,9.0,82293.82,2.0,1.0,1.0,91565.25,1.0 +574.0,Spain,Male,36.0,4.0,77967.5,1.0,1.0,0.0,167066.95,0.0 +611.0,France,Male,27.0,7.0,0.0,2.0,1.0,1.0,157474.1, +488.0,Germany,Female,28.0,7.0,139246.22,2.0,1.0,0.0,106799.49,0.0 +583.0,France,Female,40.0,4.0,55776.39,2.0,1.0,0.0,26920.43, +765.0,Germany,Male,43.0,4.0,148962.76,1.0,0.0,1.0,173878.87,0.0 +735.0,Spain,Male,39.0,1.0,60374.98,1.0,1.0,0.0,40223.74, +652.0,France,Female,40.0,1.0,0.0,2.0,1.0,0.0,126554.96,0.0 +653.0,Spain,Male,35.0,6.0,116662.96,2.0,1.0,1.0,23864.21,0.0 +695.0,Spain,Male,35.0,7.0,0.0,2.0,1.0,0.0,160387.98, +696.0,France,Male,44.0,8.0,161889.79,1.0,0.0,0.0,75562.47,0.0 +706.0,Germany,Female,39.0,8.0,112889.91,1.0,0.0,1.0,6723.66,0.0 +593.0,France,Female,32.0,3.0,0.0,2.0,1.0,1.0,151978.36,0.0 +493.0,France,Female,36.0,2.0,0.0,2.0,0.0,1.0,99770.3, +817.0,Germany,Female,46.0,0.0,89087.89,1.0,0.0,1.0,87941.85,0.0 +763.0,Spain,Female,32.0,8.0,0.0,2.0,1.0,0.0,16725.53,0.0 +735.0,France,Male,50.0,2.0,0.0,2.0,0.0,1.0,147075.69,0.0 +666.0,Spain,Male,43.0,5.0,0.0,2.0,1.0,0.0,29346.1,0.0 +603.0,France,Male,30.0,8.0,0.0,2.0,1.0,1.0,47536.46,0.0 +737.0,France,Male,28.0,8.0,0.0,2.0,1.0,0.0,106390.01, +754.0,Germany,Female,48.0,7.0,141819.02,1.0,1.0,0.0,93550.53,0.0 +758.0,Germany,Female,47.0,9.0,95523.16,1.0,1.0,0.0,73294.48,0.0 +684.0,France,Male,35.0,6.0,135871.5,1.0,1.0,1.0,87219.41,0.0 +792.0,France,Male,30.0,1.0,127187.86,1.0,1.0,1.0,113553.42, +668.0,Spain,Male,25.0,8.0,0.0,2.0,1.0,1.0,135112.09,0.0 +584.0,France,Female,66.0,5.0,0.0,1.0,1.0,0.0,49553.38,0.0 +850.0,Germany,Male,37.0,9.0,122506.38,1.0,0.0,1.0,199693.84,0.0 +556.0,France,Female,61.0,2.0,117419.35,1.0,1.0,1.0,94153.83,0.0 +543.0,France,Male,36.0,4.0,0.0,2.0,1.0,1.0,141210.5,0.0 +663.0,France,Male,33.0,5.0,157274.36,2.0,1.0,1.0,28531.81,1.0 +680.0,France,Female,25.0,4.0,123816.5,1.0,1.0,1.0,90162.35,0.0 +602.0,France,Female,35.0,8.0,0.0,2.0,1.0,1.0,152843.53,0.0 +756.0,Spain,Male,30.0,2.0,145127.85,1.0,0.0,0.0,7554.68,1.0 +850.0,France,Male,33.0,8.0,73059.38,1.0,1.0,1.0,186281.0, +734.0,France,Male,22.0,5.0,130056.23,1.0,0.0,0.0,121894.31,0.0 +607.0,France,Male,45.0,7.0,123859.6,1.0,0.0,1.0,113051.57,1.0 +743.0,France,Male,42.0,7.0,77002.2,2.0,1.0,1.0,80428.42,0.0 +733.0,France,Male,42.0,9.0,150507.21,1.0,0.0,1.0,169964.12,1.0 +452.0,Germany,Male,52.0,1.0,98443.14,2.0,0.0,0.0,92033.98,0.0 +560.0,Spain,Female,31.0,5.0,125341.69,1.0,1.0,0.0,79547.39,0.0 +625.0,France,Female,44.0,7.0,0.0,1.0,1.0,0.0,4791.8, +707.0,Germany,Female,48.0,7.0,105086.74,1.0,1.0,1.0,180344.69, +551.0,France,Male,43.0,7.0,0.0,2.0,1.0,0.0,178393.68,1.0 +742.0,Spain,Male,24.0,8.0,0.0,2.0,1.0,0.0,4070.28,0.0 +723.0,France,Male,30.0,3.0,124119.54,1.0,1.0,0.0,162198.32,0.0 +675.0,France,Female,33.0,6.0,0.0,2.0,1.0,0.0,34045.61,0.0 +685.0,France,Male,20.0,4.0,104719.94,2.0,1.0,0.0,38691.34,0.0 +739.0,Spain,Male,31.0,1.0,0.0,2.0,1.0,1.0,58469.75,0.0 +699.0,France,Male,35.0,5.0,0.0,2.0,1.0,1.0,78397.24,0.0 +527.0,Spain,Male,53.0,8.0,0.0,1.0,1.0,1.0,51711.57,1.0 +782.0,Germany,Male,42.0,7.0,126428.38,1.0,1.0,0.0,39830.1, +777.0,France,Female,53.0,10.0,0.0,2.0,1.0,0.0,189992.97,0.0 +607.0,France,Female,49.0,9.0,119960.29,2.0,1.0,0.0,103068.22, +555.0,Germany,Male,62.0,4.0,119817.33,1.0,0.0,1.0,43507.1,0.0 +755.0,Germany,Female,45.0,7.0,135643.0,1.0,0.0,0.0,143619.52,0.0 +675.0,France,Male,54.0,2.0,0.0,1.0,1.0,0.0,149583.67,1.0 +677.0,France,Male,58.0,9.0,0.0,1.0,0.0,1.0,168650.4,1.0 +709.0,France,Female,36.0,8.0,0.0,2.0,1.0,1.0,69676.55, +759.0,Spain,Female,74.0,6.0,128917.84,1.0,1.0,1.0,48244.64,0.0 +464.0,Spain,Female,34.0,5.0,76001.57,1.0,1.0,1.0,158668.87,0.0 +705.0,France,Female,55.0,8.0,0.0,2.0,1.0,1.0,14392.68, +568.0,Spain,Female,27.0,1.0,116320.68,1.0,0.0,1.0,45563.94,0.0 +694.0,France,Female,30.0,9.0,0.0,2.0,1.0,1.0,26960.31,0.0 +735.0,Spain,Male,50.0,9.0,0.0,1.0,0.0,0.0,166677.35,0.0 +738.0,France,Female,39.0,1.0,94435.45,2.0,0.0,1.0,189430.86,1.0 +579.0,Germany,Female,64.0,6.0,145215.43,1.0,1.0,1.0,164083.72,0.0 +580.0,Germany,Male,35.0,10.0,136281.41,2.0,1.0,1.0,24799.47,0.0 +494.0,France,Female,33.0,1.0,137853.0,1.0,0.0,1.0,90273.85,0.0 +850.0,France,Male,61.0,1.0,0.0,1.0,1.0,0.0,53067.83,0.0 +598.0,Spain,Female,38.0,6.0,0.0,2.0,0.0,0.0,173783.38,0.0 +569.0,France,Male,35.0,10.0,124525.52,1.0,1.0,1.0,193793.78,0.0 +622.0,France,Male,41.0,2.0,127087.06,1.0,1.0,0.0,102402.91,1.0 +591.0,France,Male,29.0,6.0,0.0,2.0,1.0,1.0,108684.65,0.0 +497.0,France,Male,41.0,9.0,0.0,1.0,0.0,0.0,22074.48,1.0 +699.0,France,Male,37.0,10.0,0.0,2.0,0.0,0.0,83263.04,0.0 +691.0,France,Male,30.0,9.0,0.0,1.0,1.0,0.0,49594.02,0.0 +751.0,Germany,Male,34.0,9.0,108513.25,2.0,1.0,1.0,27097.82,0.0 +670.0,France,Female,45.0,9.0,104930.38,1.0,1.0,0.0,155921.81,0.0 +637.0,Germany,Male,28.0,3.0,123675.69,1.0,1.0,1.0,166458.41, +696.0,France,Male,52.0,6.0,139781.06,1.0,1.0,0.0,27445.4,0.0 +544.0,Spain,Male,22.0,4.0,0.0,2.0,1.0,0.0,70007.67,0.0 +519.0,France,Female,22.0,8.0,0.0,1.0,0.0,1.0,167553.06,0.0 +637.0,Spain,Female,40.0,6.0,0.0,2.0,1.0,1.0,181610.6,0.0 +561.0,Germany,Male,32.0,6.0,166824.59,1.0,1.0,0.0,139451.98,0.0 +837.0,Spain,Male,31.0,9.0,104678.62,1.0,0.0,1.0,50972.6,0.0 +588.0,France,Male,40.0,5.0,0.0,2.0,0.0,0.0,100727.68,0.0 +722.0,Spain,Male,37.0,9.0,0.0,2.0,1.0,0.0,31921.95, +678.0,Germany,Female,51.0,1.0,145751.03,1.0,0.0,0.0,109718.44,0.0 +840.0,France,Male,30.0,8.0,136291.71,1.0,1.0,0.0,54113.38,0.0 +788.0,France,Female,33.0,5.0,0.0,2.0,0.0,0.0,116978.19,0.0 +637.0,France,Female,33.0,7.0,103377.81,1.0,1.0,0.0,84419.78, +649.0,France,Female,56.0,8.0,156974.26,1.0,1.0,0.0,89405.26,1.0 +670.0,France,Male,38.0,7.0,0.0,2.0,1.0,1.0,77864.41, +605.0,Spain,Male,33.0,5.0,150092.8,1.0,0.0,0.0,71862.79,0.0 +706.0,Germany,Female,56.0,3.0,139603.22,1.0,1.0,1.0,86383.61, +604.0,Spain,Female,34.0,3.0,0.0,2.0,1.0,0.0,38587.7,0.0 +638.0,Germany,Male,62.0,4.0,108716.59,2.0,1.0,1.0,74241.09,0.0 +696.0,Spain,Female,43.0,4.0,0.0,2.0,1.0,1.0,66406.37,0.0 +833.0,France,Male,30.0,1.0,0.0,2.0,1.0,0.0,141860.62,0.0 +753.0,France,Male,48.0,4.0,0.0,2.0,0.0,1.0,146821.42,0.0 +837.0,France,Male,26.0,4.0,89900.24,2.0,1.0,0.0,175477.03,0.0 +630.0,Spain,Male,30.0,3.0,0.0,2.0,0.0,1.0,10486.69,1.0 +777.0,Germany,Female,34.0,5.0,96693.66,1.0,1.0,1.0,172618.52, +691.0,Germany,Male,30.0,7.0,101231.77,2.0,0.0,0.0,156529.44, +579.0,France,Male,28.0,4.0,0.0,2.0,1.0,1.0,176925.69,0.0 +468.0,Spain,Male,26.0,1.0,131643.25,1.0,1.0,0.0,64436.16, +722.0,Spain,Female,35.0,1.0,120171.58,1.0,1.0,0.0,125240.8,1.0 +678.0,France,Male,60.0,8.0,185648.56,1.0,0.0,0.0,192156.54,0.0 +716.0,France,Female,22.0,8.0,0.0,2.0,1.0,1.0,92606.98,0.0 +618.0,Spain,Male,38.0,5.0,126473.99,1.0,1.0,0.0,91972.49,0.0 +707.0,France,Male,30.0,8.0,0.0,2.0,1.0,0.0,33159.37,1.0 +679.0,France,Male,37.0,7.0,74260.03,1.0,1.0,0.0,194617.98,0.0 +686.0,France,Male,32.0,6.0,0.0,2.0,1.0,1.0,179093.26, +596.0,Germany,Male,48.0,2.0,131326.47,1.0,0.0,0.0,1140.02,0.0 +724.0,Germany,Female,33.0,9.0,119278.44,1.0,1.0,1.0,197148.24, +590.0,Spain,Male,37.0,1.0,0.0,2.0,0.0,0.0,133535.99, +778.0,France,Female,65.0,7.0,0.0,1.0,1.0,1.0,77867.23,0.0 +745.0,France,Male,35.0,9.0,92566.53,2.0,1.0,0.0,161519.77,1.0 +725.0,France,Female,33.0,4.0,0.0,1.0,1.0,1.0,67879.8,0.0 +613.0,France,Male,47.0,6.0,146034.74,1.0,1.0,1.0,77146.14,0.0 +549.0,France,Male,50.0,9.0,94748.76,2.0,0.0,1.0,13608.18,1.0 +559.0,Spain,Male,24.0,3.0,114739.92,1.0,1.0,0.0,85891.02,0.0 +731.0,France,Female,30.0,5.0,0.0,2.0,1.0,0.0,189528.72,0.0 +609.0,Germany,Female,71.0,6.0,113317.1,1.0,1.0,0.0,108258.22,1.0 +736.0,Spain,Male,32.0,7.0,0.0,1.0,0.0,1.0,79082.62,0.0 +575.0,Spain,Female,22.0,8.0,105229.34,1.0,1.0,1.0,34397.08, +499.0,Spain,Female,42.0,0.0,147187.84,1.0,1.0,1.0,14868.94,0.0 +543.0,France,Female,31.0,2.0,147674.26,1.0,1.0,1.0,16658.76,0.0 +719.0,Spain,Male,38.0,0.0,0.0,1.0,1.0,0.0,126876.47,0.0 +534.0,France,Male,41.0,9.0,0.0,2.0,1.0,0.0,13871.34, +654.0,France,Male,38.0,8.0,0.0,2.0,1.0,0.0,88659.44, +583.0,France,Male,40.0,3.0,0.0,2.0,1.0,0.0,47728.0, +705.0,France,Female,38.0,3.0,123894.43,1.0,1.0,0.0,21177.1,0.0 +803.0,Spain,Female,37.0,1.0,0.0,2.0,0.0,0.0,7455.2,0.0 +638.0,France,Female,29.0,9.0,103417.74,1.0,1.0,1.0,15336.4,0.0 +543.0,France,Male,35.0,5.0,137482.19,1.0,0.0,0.0,62389.35,0.0 +706.0,Spain,Male,68.0,4.0,114386.85,1.0,1.0,1.0,28601.68,0.0 +691.0,France,Female,34.0,7.0,0.0,2.0,0.0,1.0,161559.12, +642.0,Germany,Female,39.0,8.0,128264.03,1.0,1.0,0.0,61792.76, +497.0,Spain,Male,27.0,7.0,149400.27,1.0,0.0,0.0,167522.19,1.0 +754.0,France,Male,38.0,2.0,0.0,2.0,1.0,0.0,180698.32,0.0 +514.0,France,Male,26.0,1.0,0.0,2.0,0.0,0.0,121551.93, +611.0,France,Male,28.0,2.0,0.0,2.0,0.0,0.0,25395.83,0.0 +611.0,France,Female,30.0,9.0,88594.14,1.0,1.0,0.0,196332.45,0.0 +652.0,France,Female,40.0,8.0,84390.8,2.0,0.0,1.0,107876.2,0.0 +760.0,France,Male,43.0,8.0,121911.59,1.0,1.0,0.0,193312.33,0.0 +763.0,France,Female,31.0,4.0,0.0,2.0,0.0,0.0,50404.72,0.0 +740.0,France,Male,36.0,7.0,0.0,1.0,1.0,1.0,13177.4,0.0 +703.0,Germany,Female,38.0,9.0,99167.54,1.0,1.0,0.0,65720.92,1.0 +786.0,France,Male,32.0,9.0,0.0,2.0,1.0,0.0,133112.41,0.0 +737.0,Germany,Male,50.0,4.0,127552.85,2.0,1.0,0.0,4225.11, +632.0,France,Female,21.0,1.0,0.0,2.0,1.0,0.0,84008.66,1.0 +740.0,Germany,Female,40.0,2.0,122295.17,2.0,1.0,1.0,30812.84,0.0 +759.0,Germany,Male,30.0,4.0,101802.67,1.0,0.0,0.0,8693.8,0.0 +480.0,France,Male,35.0,2.0,165692.91,1.0,1.0,1.0,197984.58,0.0 +533.0,Germany,Male,43.0,4.0,80442.06,2.0,0.0,1.0,12537.42,0.0 +639.0,France,Male,32.0,9.0,0.0,2.0,1.0,0.0,111340.36,1.0 +682.0,Germany,Female,35.0,2.0,117438.92,2.0,1.0,1.0,16910.98,1.0 +682.0,France,Male,55.0,9.0,0.0,1.0,1.0,0.0,153356.8,1.0 +667.0,Germany,Female,33.0,4.0,127076.68,2.0,1.0,0.0,69011.66,0.0 +548.0,France,Female,33.0,1.0,80107.83,2.0,0.0,1.0,82245.67,1.0 +439.0,France,Female,43.0,8.0,0.0,1.0,0.0,1.0,104889.3,0.0 +722.0,France,Male,34.0,8.0,0.0,2.0,1.0,1.0,133447.49,0.0 +742.0,France,Female,29.0,4.0,0.0,2.0,1.0,1.0,180066.59,0.0 +823.0,France,Male,38.0,1.0,0.0,2.0,1.0,0.0,156603.7,0.0 +603.0,Spain,Female,42.0,6.0,0.0,1.0,1.0,1.0,90437.87,1.0 +522.0,Spain,Male,34.0,9.0,126436.29,1.0,1.0,0.0,174248.52,1.0 +780.0,France,Female,37.0,3.0,0.0,2.0,0.0,0.0,182156.81,0.0 +729.0,Spain,Female,34.0,9.0,53299.96,2.0,1.0,1.0,42855.97,0.0 +671.0,France,Female,48.0,6.0,119769.77,1.0,0.0,1.0,66032.65, +671.0,Spain,Female,34.0,5.0,130929.02,4.0,1.0,1.0,28238.25,0.0 +764.0,France,Female,24.0,7.0,106234.02,1.0,0.0,0.0,115676.38,0.0 +661.0,Spain,Female,42.0,3.0,0.0,2.0,1.0,0.0,35989.41,0.0 +755.0,France,Female,28.0,7.0,124540.28,1.0,0.0,1.0,188850.89, +665.0,France,Female,41.0,8.0,96147.55,1.0,1.0,0.0,137037.97,0.0 +706.0,Spain,Male,57.0,7.0,0.0,1.0,1.0,0.0,17941.16,0.0 +504.0,Spain,Female,46.0,2.0,163764.84,1.0,1.0,1.0,165122.55, +667.0,Spain,Male,71.0,4.0,137260.78,1.0,0.0,1.0,94433.08,1.0 +669.0,France,Male,37.0,1.0,125529.55,1.0,1.0,1.0,162260.93,0.0 +694.0,Germany,Female,37.0,8.0,98218.04,2.0,1.0,0.0,182354.46,1.0 +592.0,Germany,Female,34.0,6.0,102143.93,2.0,1.0,1.0,102628.98,0.0 +546.0,Spain,Male,25.0,7.0,127728.24,2.0,1.0,1.0,105279.74, +761.0,Spain,Female,34.0,2.0,0.0,2.0,1.0,0.0,61251.25,0.0 +529.0,France,Female,43.0,0.0,123815.86,1.0,1.0,1.0,78463.99,1.0 +597.0,France,Female,41.0,4.0,145809.53,2.0,1.0,1.0,52319.26,0.0 +757.0,France,Male,31.0,10.0,39539.39,2.0,0.0,0.0,192519.39,0.0 +505.0,Germany,Female,37.0,10.0,122453.97,2.0,1.0,1.0,52693.99,1.0 +827.0,France,Male,38.0,5.0,0.0,2.0,0.0,0.0,103305.01,0.0 +474.0,France,Male,26.0,6.0,0.0,2.0,0.0,0.0,152491.22,0.0 +660.0,France,Female,32.0,0.0,114668.89,1.0,1.0,0.0,84605.0, +640.0,Spain,Male,34.0,1.0,137523.02,1.0,0.0,0.0,24761.36,0.0 +676.0,France,Male,23.0,1.0,107787.47,1.0,0.0,1.0,116378.82, +638.0,Spain,Female,55.0,2.0,155828.22,1.0,0.0,1.0,108987.25,1.0 +706.0,Germany,Male,32.0,5.0,88348.43,2.0,1.0,1.0,104181.78, +590.0,France,Male,24.0,7.0,126431.54,1.0,1.0,0.0,58781.11,0.0 +724.0,Spain,Female,41.0,4.0,142880.28,3.0,0.0,0.0,185541.2,0.0 +604.0,Spain,Male,27.0,9.0,101352.78,1.0,0.0,0.0,30252.3,0.0 +664.0,France,Female,38.0,4.0,74306.19,2.0,1.0,0.0,154395.56, +669.0,France,Female,33.0,9.0,0.0,2.0,0.0,1.0,107221.03, +583.0,France,Male,33.0,7.0,122531.86,1.0,1.0,0.0,13549.24, +558.0,France,Female,56.0,7.0,121235.05,2.0,1.0,1.0,116253.1,0.0 +521.0,Spain,Female,39.0,3.0,146408.68,1.0,0.0,0.0,72993.67,0.0 +739.0,Spain,Female,41.0,8.0,0.0,1.0,1.0,0.0,191694.77, +563.0,Spain,Male,26.0,7.0,0.0,2.0,0.0,0.0,6139.74,0.0 +694.0,France,Male,37.0,10.0,143835.47,1.0,0.0,1.0,33326.71,0.0 +705.0,Germany,Female,37.0,3.0,109974.22,1.0,1.0,1.0,36320.87, +516.0,France,Male,51.0,8.0,120124.35,2.0,0.0,1.0,168773.54,1.0 +742.0,France,Male,32.0,6.0,160485.16,1.0,1.0,0.0,29023.03,0.0 +696.0,Spain,Male,24.0,9.0,0.0,1.0,0.0,0.0,10883.52,0.0 +645.0,Germany,Female,41.0,2.0,138881.04,1.0,1.0,0.0,129936.53,0.0 +581.0,Spain,Female,43.0,4.0,170172.9,1.0,0.0,1.0,100236.02,0.0 +670.0,France,Female,38.0,4.0,119624.54,2.0,1.0,1.0,110472.12,1.0 +598.0,Germany,Male,38.0,1.0,101487.18,1.0,1.0,1.0,75959.1,0.0 +775.0,Germany,Female,74.0,0.0,161371.5,1.0,1.0,1.0,134869.93, +749.0,France,Male,42.0,2.0,56726.83,2.0,0.0,1.0,185543.35,0.0 +713.0,Germany,Male,47.0,1.0,95994.98,1.0,1.0,0.0,197529.23,0.0 +608.0,France,Male,33.0,9.0,89968.69,1.0,1.0,0.0,68777.26,0.0 +587.0,France,Male,55.0,9.0,0.0,1.0,1.0,0.0,64593.07,0.0 +459.0,Germany,Male,50.0,5.0,109387.9,1.0,1.0,0.0,155721.15, +563.0,France,Male,33.0,8.0,0.0,2.0,0.0,1.0,68815.05,0.0 +610.0,France,Female,25.0,2.0,0.0,2.0,1.0,0.0,123723.83,0.0 +596.0,Spain,Male,60.0,7.0,121907.97,1.0,0.0,1.0,30314.04, +765.0,Spain,Male,45.0,2.0,91549.78,1.0,1.0,1.0,47139.44, +697.0,Spain,Female,25.0,5.0,82931.85,2.0,1.0,1.0,128373.88,0.0 +695.0,France,Male,49.0,9.0,159458.53,1.0,1.0,0.0,135841.35, +667.0,Germany,Female,56.0,8.0,137464.04,1.0,1.0,0.0,130846.79,0.0 +614.0,Spain,Female,40.0,3.0,113348.5,1.0,1.0,1.0,77789.01,1.0 +647.0,Germany,Female,33.0,3.0,168560.46,2.0,0.0,0.0,90270.16,0.0 +554.0,Germany,Female,31.0,6.0,135470.9,1.0,1.0,0.0,107074.81,0.0 +773.0,Spain,Female,33.0,10.0,0.0,1.0,1.0,1.0,98820.09,0.0 +817.0,Germany,Male,58.0,3.0,114327.59,2.0,1.0,1.0,42831.11,0.0 +691.0,Germany,Female,37.0,7.0,123067.63,1.0,1.0,1.0,98162.44,1.0 +664.0,France,Male,46.0,2.0,0.0,1.0,1.0,1.0,177423.02, +806.0,France,Male,34.0,6.0,0.0,2.0,0.0,0.0,100809.99,0.0 +698.0,France,Male,48.0,4.0,101238.24,2.0,0.0,1.0,177815.87,0.0 +595.0,Spain,Female,43.0,5.0,0.0,2.0,0.0,0.0,105149.8, +648.0,France,Female,38.0,2.0,0.0,2.0,0.0,1.0,9551.49,1.0 +658.0,Spain,Male,36.0,1.0,0.0,2.0,0.0,1.0,84927.42,0.0 +797.0,France,Female,46.0,8.0,0.0,1.0,0.0,0.0,162668.33, +444.0,France,Male,45.0,6.0,0.0,1.0,1.0,0.0,130009.85,0.0 +478.0,France,Female,32.0,6.0,71187.24,1.0,1.0,1.0,110593.62,0.0 +652.0,Germany,Female,45.0,9.0,110827.49,1.0,1.0,1.0,153383.54,1.0 +763.0,France,Female,58.0,9.0,187911.55,1.0,0.0,1.0,35825.18,0.0 +716.0,France,Female,38.0,1.0,0.0,2.0,1.0,1.0,99661.46, +733.0,Spain,Female,30.0,0.0,83319.28,1.0,0.0,0.0,57769.2,0.0 +559.0,Spain,Female,40.0,5.0,139129.44,1.0,0.0,1.0,32635.54,0.0 +769.0,France,Female,31.0,6.0,117852.26,2.0,1.0,0.0,147668.64, +721.0,Spain,Male,38.0,7.0,0.0,1.0,0.0,1.0,53534.8,0.0 +824.0,France,Male,30.0,0.0,133634.02,1.0,1.0,1.0,162053.92,1.0 +658.0,France,Male,29.0,4.0,80262.6,1.0,1.0,1.0,20612.82,0.0 +846.0,France,Female,34.0,10.0,142388.61,2.0,0.0,1.0,68393.64, +548.0,France,Female,36.0,3.0,0.0,1.0,1.0,0.0,65996.9,0.0 +562.0,France,Female,57.0,3.0,0.0,3.0,1.0,0.0,6554.97,0.0 +743.0,France,Male,39.0,6.0,0.0,2.0,1.0,0.0,44265.28,0.0 +540.0,Germany,Female,35.0,7.0,128369.75,2.0,1.0,0.0,198256.15, +659.0,France,Male,67.0,4.0,145981.87,1.0,1.0,1.0,131043.2,0.0 +659.0,Germany,Male,34.0,9.0,134464.58,2.0,1.0,0.0,178833.34,0.0 +648.0,Germany,Female,32.0,8.0,157138.99,3.0,1.0,0.0,190994.48,0.0 +684.0,Spain,Male,39.0,4.0,207034.96,2.0,0.0,0.0,157694.76, +459.0,Germany,Male,48.0,4.0,133994.52,1.0,1.0,1.0,19287.06,0.0 +719.0,France,Male,32.0,9.0,146605.27,1.0,1.0,1.0,77119.45,0.0 +722.0,France,Female,47.0,2.0,88011.4,1.0,1.0,1.0,90655.94,0.0 +691.0,France,Female,33.0,6.0,0.0,2.0,1.0,0.0,164074.89, +638.0,France,Male,34.0,6.0,114543.27,1.0,1.0,1.0,97755.29,1.0 +696.0,France,Female,31.0,8.0,0.0,2.0,0.0,0.0,191074.11,1.0 +515.0,France,Male,41.0,8.0,0.0,2.0,1.0,1.0,185054.14,1.0 +487.0,France,Male,53.0,4.0,199689.49,1.0,1.0,1.0,24207.86,0.0 +664.0,Germany,Male,39.0,7.0,60263.23,1.0,1.0,0.0,170835.32,0.0 +667.0,France,Male,23.0,1.0,0.0,2.0,1.0,0.0,91573.19,1.0 +657.0,Spain,Male,31.0,3.0,125167.02,1.0,0.0,0.0,98820.39,0.0 +682.0,France,Male,50.0,6.0,121818.84,2.0,0.0,1.0,124151.37,0.0 +604.0,France,Female,34.0,7.0,0.0,2.0,1.0,0.0,193021.49,1.0 +726.0,Germany,Male,30.0,7.0,92847.59,1.0,1.0,0.0,146154.06, +677.0,Spain,Female,34.0,10.0,171671.9,1.0,1.0,1.0,50777.77, +630.0,France,Male,55.0,2.0,0.0,1.0,1.0,1.0,106202.07, +516.0,Spain,Female,27.0,1.0,0.0,1.0,0.0,1.0,112311.15, +648.0,France,Male,34.0,0.0,0.0,1.0,1.0,1.0,167931.81,1.0 +501.0,France,Female,34.0,3.0,107747.57,1.0,1.0,0.0,9249.36,0.0 +704.0,Spain,Female,36.0,2.0,175509.8,2.0,1.0,0.0,152039.67, +557.0,Spain,Male,42.0,4.0,0.0,2.0,0.0,1.0,86642.38,0.0 +639.0,France,Male,27.0,8.0,0.0,2.0,1.0,0.0,192247.35,0.0 +648.0,Germany,Female,45.0,5.0,118886.55,1.0,0.0,0.0,51636.7, +717.0,Germany,Female,33.0,10.0,102185.42,2.0,1.0,0.0,23231.93, +598.0,France,Male,28.0,8.0,129991.76,2.0,0.0,1.0,46041.08, +781.0,France,Male,29.0,9.0,0.0,2.0,0.0,0.0,172097.4, +639.0,France,Female,50.0,6.0,115335.32,2.0,1.0,1.0,53130.41,0.0 +649.0,Spain,Female,49.0,2.0,0.0,1.0,1.0,0.0,84863.85,1.0 +778.0,France,Male,37.0,3.0,141803.77,1.0,0.0,1.0,179421.84,0.0 +725.0,France,Male,39.0,4.0,160652.45,2.0,1.0,0.0,57643.55,1.0 +567.0,France,Male,38.0,6.0,127678.8,2.0,0.0,0.0,45422.89,0.0 +756.0,Spain,Male,29.0,2.0,117412.19,2.0,1.0,0.0,4888.91,0.0 +547.0,Germany,Male,50.0,3.0,81290.02,3.0,0.0,1.0,177747.03,0.0 +740.0,Spain,Female,31.0,8.0,0.0,2.0,0.0,0.0,86657.48,1.0 +699.0,France,Male,40.0,7.0,0.0,1.0,0.0,1.0,152876.13,0.0 +719.0,Spain,Female,32.0,7.0,0.0,1.0,0.0,0.0,76264.27, +535.0,Germany,Male,20.0,9.0,134874.4,1.0,1.0,1.0,118825.56,0.0 +591.0,Spain,Male,36.0,7.0,135216.8,1.0,1.0,1.0,122022.89,1.0 +699.0,France,Male,34.0,2.0,117468.67,1.0,1.0,0.0,185227.42,0.0 +667.0,France,Male,42.0,6.0,0.0,1.0,1.0,0.0,88890.05,0.0 +733.0,Spain,Male,44.0,3.0,106070.89,1.0,0.0,1.0,101617.43,0.0 +706.0,Spain,Female,46.0,2.0,127660.46,2.0,1.0,0.0,150156.82,1.0 +506.0,Germany,Male,28.0,8.0,53053.76,1.0,0.0,1.0,24577.34,0.0 +693.0,France,Female,28.0,8.0,0.0,2.0,1.0,1.0,158545.25,0.0 +576.0,Spain,Male,33.0,3.0,0.0,2.0,0.0,1.0,190112.05,0.0 +515.0,France,Female,28.0,9.0,0.0,2.0,0.0,0.0,94141.75,0.0 +667.0,Germany,Female,44.0,5.0,140406.68,2.0,0.0,1.0,57164.19, +720.0,Germany,Female,43.0,10.0,110822.9,1.0,0.0,0.0,72861.94,1.0 +749.0,Germany,Male,47.0,9.0,110022.74,1.0,0.0,1.0,135655.29,0.0 +551.0,France,Male,31.0,1.0,0.0,2.0,1.0,1.0,185105.44,0.0 +785.0,Spain,Female,31.0,2.0,121691.54,2.0,0.0,0.0,81778.72,0.0 +712.0,France,Female,27.0,2.0,133009.51,1.0,1.0,0.0,126809.15,0.0 +712.0,Spain,Male,53.0,2.0,111061.01,2.0,0.0,0.0,26542.17,0.0 +585.0,France,Female,43.0,2.0,0.0,2.0,1.0,0.0,89402.54, +735.0,France,Male,41.0,7.0,74135.85,1.0,1.0,1.0,11783.1,0.0 +535.0,Spain,Male,37.0,3.0,175534.78,2.0,1.0,1.0,9241.52,0.0 +523.0,France,Male,45.0,5.0,0.0,2.0,1.0,1.0,121428.2, +788.0,Germany,Female,49.0,4.0,137455.99,1.0,1.0,0.0,184178.29,0.0 +665.0,Spain,Male,29.0,1.0,182781.74,2.0,1.0,1.0,63732.9, +850.0,France,Female,26.0,4.0,62610.96,2.0,0.0,1.0,179365.1,1.0 +575.0,France,Male,29.0,4.0,121823.4,2.0,1.0,1.0,50368.87,0.0 +551.0,France,Male,42.0,1.0,50194.59,1.0,1.0,1.0,23399.58,0.0 +850.0,Germany,Male,40.0,6.0,94607.08,1.0,1.0,0.0,36690.49,0.0 +676.0,Spain,Male,48.0,1.0,131659.59,2.0,0.0,1.0,14152.15,0.0 +733.0,Germany,Male,39.0,5.0,91538.51,1.0,1.0,1.0,93783.0,1.0 +765.0,France,Male,43.0,9.0,157960.49,2.0,0.0,0.0,136602.8,0.0 +748.0,France,Female,34.0,8.0,0.0,2.0,1.0,0.0,53584.03,0.0 +609.0,Germany,Male,38.0,6.0,140752.06,2.0,0.0,1.0,171430.16,0.0 +688.0,France,Male,38.0,7.0,148045.68,1.0,1.0,0.0,175479.92,0.0 +602.0,Spain,Male,33.0,5.0,0.0,2.0,0.0,1.0,64038.34, +612.0,France,Female,38.0,1.0,0.0,2.0,1.0,1.0,9209.21,0.0 +670.0,France,Male,37.0,2.0,0.0,2.0,1.0,1.0,54229.74,0.0 +549.0,Germany,Female,37.0,1.0,130622.34,2.0,1.0,1.0,128499.94,0.0 +518.0,Germany,Female,41.0,5.0,110624.99,1.0,1.0,0.0,89327.67,0.0 +427.0,Spain,Female,39.0,9.0,0.0,2.0,1.0,0.0,28368.37, +710.0,Spain,Female,36.0,8.0,0.0,2.0,0.0,0.0,83206.19,0.0 +828.0,Spain,Male,42.0,10.0,0.0,1.0,1.0,1.0,186071.14,0.0 +708.0,Germany,Male,37.0,8.0,153366.13,1.0,1.0,1.0,26912.34,0.0 +669.0,France,Female,43.0,1.0,160474.59,1.0,1.0,1.0,95963.14,1.0 +548.0,France,Male,57.0,6.0,76165.65,1.0,1.0,1.0,133537.53,0.0 +804.0,Germany,Female,33.0,10.0,138335.96,1.0,1.0,1.0,80483.76,0.0 +762.0,Spain,Male,39.0,2.0,81273.13,1.0,1.0,1.0,18719.67,0.0 +629.0,France,Female,40.0,6.0,0.0,2.0,1.0,1.0,139356.3,0.0 +520.0,Germany,Male,34.0,8.0,120018.86,2.0,1.0,1.0,343.38,0.0 +752.0,Germany,Female,38.0,10.0,101648.5,2.0,1.0,0.0,172001.44, +720.0,Spain,Male,33.0,3.0,123783.91,2.0,1.0,1.0,142903.44,0.0 +606.0,France,Male,34.0,5.0,0.0,1.0,1.0,0.0,161971.42,0.0 +755.0,Germany,Female,38.0,1.0,82083.52,1.0,0.0,1.0,10333.78,0.0 +577.0,Spain,Male,43.0,3.0,0.0,2.0,1.0,1.0,135008.92, +680.0,France,Male,31.0,1.0,0.0,2.0,1.0,1.0,3148.2,0.0 +578.0,Spain,Male,40.0,6.0,63609.92,1.0,0.0,0.0,74965.61,0.0 +636.0,Spain,Male,60.0,7.0,124447.73,1.0,1.0,1.0,141364.62,0.0 +540.0,Spain,Male,67.0,1.0,88382.01,1.0,0.0,1.0,59457.0,0.0 +595.0,Germany,Female,25.0,7.0,106570.34,2.0,0.0,1.0,177025.79,0.0 +429.0,France,Female,39.0,6.0,48023.83,1.0,1.0,0.0,74870.99, +568.0,Germany,Female,29.0,2.0,129177.01,2.0,0.0,1.0,104617.99,0.0 +793.0,France,Male,39.0,3.0,137817.52,1.0,0.0,0.0,83997.79,0.0 +586.0,Spain,Male,41.0,3.0,63873.56,1.0,1.0,0.0,83753.64,0.0 +699.0,Germany,Male,59.0,3.0,106819.65,1.0,0.0,1.0,163570.25,1.0 +693.0,France,Male,41.0,4.0,0.0,2.0,0.0,0.0,156381.47,0.0 +805.0,Germany,Male,24.0,6.0,143221.35,2.0,1.0,0.0,186035.72,1.0 +682.0,Spain,Female,54.0,0.0,83102.72,2.0,1.0,1.0,54132.93,0.0 +464.0,Germany,Male,33.0,8.0,164284.72,2.0,1.0,1.0,3710.34,0.0 +565.0,Germany,Male,31.0,2.0,89558.39,2.0,1.0,1.0,4441.54,0.0 +775.0,France,Female,66.0,9.0,0.0,2.0,1.0,1.0,67622.34,0.0 +770.0,France,Female,30.0,8.0,0.0,2.0,1.0,0.0,100557.03,0.0 +744.0,Germany,Female,50.0,1.0,121498.11,2.0,0.0,1.0,106061.47, +714.0,Germany,Female,55.0,9.0,180075.22,1.0,1.0,1.0,100127.71,0.0 +724.0,Spain,Male,41.0,5.0,0.0,1.0,0.0,1.0,115753.94,0.0 +708.0,France,Female,47.0,0.0,126589.12,2.0,0.0,1.0,132730.07,0.0 +595.0,Spain,Female,30.0,5.0,100683.54,1.0,1.0,1.0,178361.04,0.0 +807.0,Spain,Male,42.0,5.0,0.0,2.0,1.0,1.0,74900.9, +747.0,France,Male,41.0,5.0,0.0,2.0,1.0,1.0,22750.17,0.0 +715.0,Spain,Male,38.0,2.0,96798.79,2.0,1.0,1.0,4554.67,0.0 +824.0,Germany,Male,77.0,3.0,27517.15,2.0,0.0,1.0,2746.41,0.0 +613.0,Germany,Male,69.0,9.0,78778.49,1.0,0.0,1.0,8751.59,0.0 +574.0,France,Female,34.0,5.0,112324.45,2.0,1.0,1.0,17993.43,0.0 +497.0,France,Male,47.0,6.0,0.0,1.0,1.0,1.0,90055.08,1.0 +705.0,Germany,Male,35.0,4.0,136496.12,2.0,1.0,0.0,116672.02,0.0 +782.0,Germany,Female,53.0,1.0,81571.05,1.0,1.0,0.0,182960.46, +728.0,France,Male,33.0,8.0,129907.63,1.0,0.0,1.0,36083.96,0.0 +741.0,France,Male,37.0,9.0,105261.76,2.0,1.0,1.0,149503.54, +722.0,Spain,Female,50.0,4.0,132088.59,1.0,1.0,1.0,128262.14,0.0 +769.0,Spain,Male,41.0,1.0,72509.91,1.0,1.0,0.0,25723.73,0.0 +661.0,Germany,Male,41.0,5.0,122552.48,2.0,0.0,1.0,120646.4,0.0 +738.0,Germany,Female,57.0,9.0,148384.64,1.0,0.0,0.0,155047.11,0.0 +478.0,Spain,Female,36.0,3.0,92363.3,2.0,1.0,0.0,44912.7,0.0 +648.0,France,Male,42.0,4.0,0.0,2.0,1.0,0.0,19283.14,0.0 +608.0,Spain,Male,34.0,7.0,86656.13,1.0,0.0,1.0,59890.29,0.0 +539.0,France,Male,39.0,3.0,139153.68,2.0,1.0,0.0,147662.33,0.0 +705.0,France,Male,38.0,1.0,189443.72,1.0,0.0,1.0,106648.58,1.0 +795.0,Spain,Male,29.0,4.0,0.0,2.0,0.0,0.0,155711.64, +598.0,France,Female,32.0,4.0,111156.52,1.0,1.0,1.0,167376.26,0.0 +633.0,Germany,Male,43.0,3.0,144164.29,1.0,1.0,1.0,158646.46,1.0 +748.0,France,Female,41.0,2.0,91621.69,1.0,1.0,1.0,71139.31,1.0 +501.0,Spain,Male,43.0,6.0,104533.24,1.0,0.0,0.0,81123.59, +805.0,Germany,Male,50.0,9.0,130023.38,1.0,1.0,0.0,62989.82,0.0 +773.0,Germany,Male,47.0,2.0,118079.47,4.0,1.0,1.0,143007.49,0.0 +492.0,Germany,Female,52.0,8.0,125396.24,1.0,1.0,0.0,10014.72,0.0 +657.0,Germany,Female,38.0,5.0,123770.46,1.0,0.0,0.0,47019.66,0.0 +641.0,France,Female,42.0,6.0,0.0,2.0,0.0,0.0,121138.77,1.0 +625.0,France,Female,28.0,3.0,0.0,1.0,0.0,0.0,183646.41,1.0 +768.0,France,Male,25.0,6.0,0.0,2.0,1.0,1.0,21215.67,0.0 +568.0,Spain,Female,43.0,9.0,0.0,1.0,1.0,0.0,125870.79,0.0 +654.0,Germany,Male,37.0,2.0,145610.07,2.0,0.0,0.0,186300.59,1.0 +741.0,Spain,Male,43.0,0.0,0.0,2.0,1.0,1.0,2920.63,0.0 +644.0,Germany,Male,47.0,9.0,137774.11,2.0,1.0,0.0,151902.78,0.0 +466.0,France,Male,40.0,4.0,91592.06,1.0,1.0,0.0,141210.18,0.0 +534.0,France,Female,49.0,7.0,0.0,1.0,1.0,0.0,13566.48,1.0 +776.0,France,Female,31.0,2.0,0.0,2.0,1.0,1.0,112349.51,0.0 +569.0,France,Male,66.0,2.0,0.0,1.0,1.0,0.0,130784.2,0.0 +750.0,Germany,Male,40.0,5.0,168286.81,3.0,1.0,0.0,20451.99,0.0 +643.0,France,Male,33.0,4.0,0.0,2.0,1.0,1.0,152992.04, +523.0,France,Male,39.0,3.0,0.0,2.0,1.0,0.0,6726.53,0.0 +789.0,Spain,Female,40.0,4.0,0.0,2.0,1.0,0.0,137402.27, +626.0,Germany,Male,35.0,4.0,88109.81,1.0,1.0,1.0,32825.5,0.0 +655.0,France,Female,34.0,3.0,0.0,2.0,1.0,0.0,159638.77, +592.0,France,Male,29.0,7.0,0.0,2.0,1.0,1.0,91196.67, +710.0,France,Male,21.0,4.0,109130.96,2.0,1.0,1.0,56191.99,0.0 +559.0,France,Female,42.0,7.0,0.0,2.0,1.0,1.0,190040.29,1.0 +638.0,Spain,Female,34.0,7.0,0.0,2.0,0.0,0.0,3946.29, +762.0,France,Male,29.0,6.0,141389.06,1.0,1.0,0.0,54122.89,0.0 +586.0,France,Male,58.0,7.0,151933.63,1.0,1.0,0.0,162960.05,0.0 +501.0,France,Female,41.0,3.0,144260.5,1.0,1.0,0.0,172114.67,0.0 +642.0,Spain,Male,32.0,7.0,100433.8,1.0,1.0,1.0,39768.59,1.0 +562.0,France,Female,27.0,3.0,0.0,2.0,1.0,0.0,28137.03, +638.0,France,Male,41.0,1.0,131762.94,1.0,1.0,1.0,47675.29,1.0 +677.0,Spain,Male,40.0,7.0,95312.8,1.0,1.0,1.0,62944.75,1.0 +701.0,France,Female,39.0,9.0,0.0,2.0,0.0,1.0,145894.9,1.0 +557.0,France,Female,32.0,6.0,184686.41,2.0,1.0,0.0,14956.44,0.0 +544.0,France,Female,26.0,6.0,0.0,1.0,1.0,0.0,100200.4, +727.0,Germany,Male,37.0,9.0,101191.83,1.0,1.0,1.0,34551.35,0.0 +453.0,France,Female,37.0,4.0,131834.76,2.0,1.0,0.0,8949.2,0.0 +756.0,Germany,Male,41.0,2.0,124439.49,2.0,0.0,1.0,47093.11,0.0 +668.0,Spain,Male,38.0,1.0,147904.31,1.0,1.0,1.0,69370.05, +655.0,France,Female,32.0,2.0,0.0,1.0,1.0,1.0,71047.51, +688.0,France,Male,26.0,1.0,0.0,2.0,1.0,1.0,104435.94,0.0 +608.0,France,Female,28.0,9.0,0.0,2.0,1.0,1.0,125062.02,0.0 +439.0,France,Male,28.0,7.0,110976.23,2.0,1.0,0.0,138526.96,0.0 +774.0,France,Female,32.0,4.0,0.0,2.0,0.0,0.0,114899.13,0.0 +724.0,Germany,Female,35.0,0.0,171982.95,2.0,0.0,1.0,167313.07, +627.0,France,Male,32.0,10.0,0.0,2.0,1.0,0.0,103287.62,0.0 +796.0,Spain,Male,32.0,5.0,102773.15,2.0,0.0,1.0,117832.88,0.0 +667.0,Spain,Male,56.0,2.0,168883.08,1.0,0.0,1.0,18897.78,0.0 +668.0,France,Female,31.0,9.0,0.0,2.0,0.0,0.0,41291.73,0.0 +689.0,France,Female,58.0,5.0,0.0,2.0,0.0,1.0,49848.86,0.0 +636.0,France,Female,45.0,7.0,139859.23,1.0,1.0,1.0,108402.54,0.0 +783.0,Germany,Female,41.0,5.0,106640.5,1.0,1.0,0.0,176945.96, +538.0,Spain,Female,31.0,0.0,0.0,2.0,0.0,0.0,179453.66,0.0 +719.0,Spain,Female,48.0,5.0,0.0,2.0,0.0,0.0,78563.66,0.0 +650.0,France,Male,34.0,4.0,106005.54,1.0,0.0,1.0,142995.32, +614.0,Spain,Male,66.0,2.0,0.0,2.0,0.0,1.0,180082.7, +606.0,France,Male,32.0,5.0,83161.65,1.0,1.0,1.0,116885.59, +565.0,France,Male,55.0,4.0,118803.35,2.0,1.0,1.0,128124.7,0.0 +736.0,Spain,Female,26.0,4.0,135889.13,1.0,1.0,1.0,165692.03,0.0 +617.0,France,Male,54.0,6.0,102141.9,1.0,1.0,1.0,45325.26, +646.0,France,Female,30.0,5.0,0.0,2.0,1.0,0.0,13935.32, +646.0,France,Male,26.0,4.0,139848.17,1.0,1.0,0.0,164696.27,0.0 +666.0,France,Male,36.0,4.0,120165.4,2.0,1.0,0.0,33701.5,0.0 +482.0,France,Male,55.0,5.0,97318.25,1.0,0.0,1.0,78416.14,0.0 +681.0,Spain,Female,57.0,2.0,173306.13,1.0,0.0,1.0,131964.66,0.0 +590.0,France,Male,32.0,9.0,0.0,2.0,1.0,0.0,138889.15,0.0 +552.0,Spain,Male,45.0,9.0,0.0,2.0,1.0,0.0,26752.56,1.0 +660.0,France,Male,33.0,0.0,72783.42,1.0,0.0,0.0,181051.99,0.0 +645.0,Spain,Female,55.0,1.0,133676.65,1.0,0.0,1.0,17095.49,0.0 +746.0,Spain,Male,49.0,7.0,0.0,2.0,0.0,1.0,10096.25,0.0 +805.0,Spain,Male,26.0,2.0,0.0,2.0,1.0,1.0,25042.1,0.0 +604.0,Germany,Male,25.0,7.0,165413.43,1.0,1.0,1.0,35279.74, +828.0,Germany,Female,25.0,7.0,144351.86,1.0,1.0,0.0,116613.26,1.0 +707.0,France,Female,44.0,6.0,0.0,2.0,1.0,1.0,192542.17,0.0 +731.0,Spain,Female,26.0,3.0,0.0,2.0,1.0,0.0,37697.29, +669.0,France,Male,57.0,5.0,0.0,2.0,1.0,1.0,56875.76,0.0 +746.0,France,Female,34.0,4.0,0.0,1.0,0.0,1.0,65166.6,0.0 +546.0,Spain,Female,45.0,2.0,0.0,1.0,0.0,0.0,197789.83,0.0 +625.0,France,Female,36.0,3.0,0.0,2.0,1.0,0.0,41295.1, +474.0,France,Male,37.0,3.0,98431.37,1.0,0.0,0.0,75698.44,0.0 +492.0,France,Female,48.0,6.0,127253.98,1.0,1.0,1.0,92144.09,0.0 +799.0,Germany,Male,31.0,9.0,154586.92,1.0,0.0,1.0,88604.89,0.0 +589.0,Germany,Female,50.0,5.0,144895.05,2.0,1.0,1.0,34941.23,0.0 +760.0,France,Female,32.0,7.0,0.0,2.0,1.0,1.0,105969.05,1.0 +757.0,Spain,Male,33.0,5.0,77253.22,1.0,0.0,1.0,194239.63,1.0 +550.0,Spain,Female,33.0,9.0,72788.03,1.0,1.0,1.0,103608.06,0.0 +850.0,Germany,Male,55.0,0.0,98710.89,1.0,1.0,1.0,83617.17,0.0 +692.0,France,Female,36.0,4.0,0.0,1.0,1.0,0.0,185580.89,1.0 +712.0,Spain,Male,52.0,9.0,0.0,1.0,1.0,1.0,117977.45,0.0 +618.0,France,Female,49.0,9.0,44301.43,3.0,1.0,1.0,89729.3, +744.0,France,Male,47.0,9.0,0.0,2.0,1.0,0.0,113163.17,0.0 +666.0,France,Female,41.0,10.0,141162.08,1.0,1.0,0.0,50908.48,0.0 +628.0,Germany,Male,29.0,3.0,113146.98,2.0,0.0,1.0,124749.08,0.0 +705.0,Germany,Male,48.0,9.0,114169.16,1.0,0.0,0.0,173273.2,0.0 +766.0,Germany,Female,28.0,3.0,62717.84,2.0,1.0,1.0,13182.43,0.0 +561.0,France,Male,32.0,5.0,0.0,2.0,1.0,0.0,84871.99,0.0 +723.0,Spain,Female,45.0,4.0,0.0,2.0,1.0,0.0,37214.39,0.0 +671.0,Spain,Female,29.0,6.0,0.0,2.0,0.0,0.0,12048.67,0.0 +497.0,Spain,Male,24.0,3.0,0.0,2.0,1.0,0.0,76390.01,0.0 +726.0,France,Male,28.0,2.0,0.0,1.0,0.0,0.0,98060.51, +749.0,France,Female,33.0,1.0,74385.98,1.0,1.0,0.0,20164.47,0.0 +538.0,Germany,Male,39.0,7.0,108055.1,2.0,1.0,0.0,27231.26,0.0 +718.0,Germany,Male,32.0,9.0,169947.41,2.0,1.0,1.0,27979.16, +591.0,Spain,Male,31.0,8.0,0.0,1.0,1.0,1.0,141677.33,0.0 +669.0,France,Male,46.0,3.0,0.0,2.0,0.0,1.0,8487.75,0.0 +738.0,Germany,Male,43.0,9.0,121152.05,2.0,1.0,0.0,64166.7,0.0 +766.0,Germany,Male,30.0,4.0,127786.28,2.0,1.0,1.0,28879.3,0.0 +759.0,France,Male,44.0,2.0,111095.58,2.0,1.0,0.0,100137.7,0.0 +683.0,France,Male,31.0,2.0,0.0,2.0,0.0,1.0,77326.78,0.0 +720.0,Spain,Male,34.0,3.0,0.0,2.0,1.0,1.0,77047.78, +676.0,France,Female,37.0,5.0,89634.69,1.0,1.0,1.0,169583.18,0.0 +762.0,Spain,Female,69.0,9.0,183744.98,1.0,1.0,1.0,196993.69,0.0 +701.0,France,Female,37.0,3.0,0.0,2.0,1.0,1.0,164268.28,0.0 +675.0,France,Male,39.0,7.0,0.0,2.0,0.0,1.0,36267.21, +682.0,Germany,Male,24.0,9.0,57929.81,2.0,0.0,0.0,53134.3,1.0 +636.0,Spain,Female,29.0,6.0,157576.47,2.0,1.0,1.0,101102.39,1.0 +675.0,Germany,Male,42.0,2.0,92616.64,2.0,1.0,0.0,8567.18,0.0 +707.0,France,Male,35.0,2.0,0.0,3.0,1.0,1.0,94148.3,0.0 +502.0,France,Male,37.0,10.0,0.0,1.0,1.0,1.0,76642.68,0.0 +688.0,Spain,Female,33.0,2.0,0.0,1.0,0.0,0.0,27557.18,1.0 +652.0,France,Male,26.0,3.0,137998.2,2.0,0.0,1.0,168989.77, +584.0,Germany,Male,47.0,7.0,130538.77,1.0,1.0,0.0,92915.84,0.0 +526.0,France,Male,32.0,7.0,125540.05,1.0,0.0,0.0,86786.41, +694.0,Germany,Male,31.0,6.0,109052.59,2.0,1.0,1.0,19448.93,0.0 +678.0,France,Female,60.0,10.0,117738.81,1.0,1.0,0.0,147489.76,1.0 +541.0,France,Male,32.0,8.0,0.0,2.0,0.0,0.0,40889.14, +671.0,France,Male,30.0,2.0,0.0,1.0,0.0,1.0,102057.86,0.0 +540.0,France,Male,48.0,0.0,148116.48,1.0,0.0,0.0,116973.48,0.0 +751.0,France,Male,42.0,4.0,0.0,2.0,1.0,1.0,81442.6, +697.0,Germany,Male,43.0,8.0,103409.16,1.0,1.0,0.0,66893.28, +614.0,Spain,Female,39.0,6.0,0.0,2.0,1.0,1.0,164018.98,1.0 +722.0,France,Male,20.0,6.0,0.0,2.0,1.0,0.0,195486.28,0.0 +588.0,Germany,Female,35.0,1.0,103060.63,1.0,1.0,0.0,179866.01,1.0 +581.0,Germany,Female,43.0,5.0,93259.57,3.0,1.0,0.0,141035.65, +671.0,Spain,Male,38.0,0.0,92674.94,2.0,1.0,0.0,3647.57,0.0 +547.0,Germany,Male,25.0,4.0,98141.57,2.0,1.0,1.0,52309.8,1.0 +702.0,France,Male,50.0,3.0,0.0,2.0,0.0,0.0,94949.84, +606.0,Spain,Female,25.0,3.0,147386.72,3.0,1.0,0.0,45482.04, +825.0,France,Male,34.0,9.0,0.0,2.0,1.0,1.0,31933.06,0.0 +726.0,Spain,Male,36.0,2.0,0.0,1.0,1.0,0.0,195192.4, +559.0,France,Female,31.0,3.0,127070.73,1.0,0.0,1.0,160941.78,0.0 +524.0,France,Male,28.0,1.0,93577.3,1.0,1.0,1.0,51670.82,0.0 +606.0,Spain,Female,53.0,1.0,109330.06,1.0,1.0,1.0,75860.01,0.0 +807.0,France,Male,33.0,10.0,101952.97,2.0,1.0,0.0,178153.65,0.0 +479.0,Spain,Male,27.0,2.0,172463.45,1.0,1.0,1.0,40315.27,0.0 +730.0,Spain,Male,26.0,3.0,0.0,1.0,1.0,0.0,34542.41,0.0 +671.0,Spain,Male,50.0,8.0,0.0,1.0,0.0,1.0,2560.11, +411.0,France,Female,54.0,9.0,0.0,1.0,0.0,1.0,76621.49, +679.0,France,Male,45.0,3.0,146758.24,1.0,1.0,0.0,48466.89,1.0 +477.0,Germany,Female,39.0,4.0,182491.57,1.0,1.0,0.0,185830.72, +511.0,Spain,Female,66.0,4.0,0.0,1.0,1.0,0.0,1643.11,0.0 +603.0,Germany,Female,55.0,7.0,127723.25,2.0,1.0,0.0,139469.11,1.0 +502.0,Germany,Female,40.0,7.0,117304.29,1.0,0.0,0.0,196278.32,0.0 +413.0,Spain,Male,35.0,2.0,0.0,2.0,1.0,1.0,60972.84,1.0 +728.0,Germany,Female,32.0,9.0,127772.1,2.0,1.0,1.0,152643.48,0.0 +720.0,France,Female,45.0,1.0,102882.4,2.0,1.0,1.0,35633.15,1.0 +558.0,France,Male,38.0,8.0,113000.92,1.0,1.0,1.0,152872.39,0.0 +542.0,France,Female,42.0,1.0,0.0,1.0,1.0,1.0,178256.58,0.0 +657.0,Spain,Male,75.0,7.0,126273.95,1.0,0.0,1.0,91673.6,0.0 +743.0,Germany,Female,32.0,6.0,140348.56,2.0,1.0,1.0,163254.39,0.0 +443.0,Germany,Female,29.0,9.0,99027.61,2.0,1.0,0.0,10940.4,0.0 +604.0,France,Female,53.0,2.0,121389.78,1.0,1.0,1.0,48201.64,0.0 +626.0,France,Male,43.0,4.0,137638.69,1.0,1.0,0.0,130442.08,0.0 +715.0,Germany,Female,34.0,9.0,102277.52,1.0,0.0,0.0,177852.57,0.0 +683.0,France,Male,33.0,8.0,0.0,1.0,0.0,0.0,73564.44,1.0 +586.0,Spain,Female,42.0,2.0,0.0,1.0,1.0,0.0,102889.34, +480.0,Spain,Male,39.0,5.0,121626.9,1.0,1.0,1.0,82438.13, +706.0,France,Male,35.0,5.0,0.0,2.0,1.0,1.0,81718.37,0.0 +802.0,Spain,Male,40.0,5.0,0.0,2.0,1.0,1.0,175043.69,0.0 +669.0,France,Female,42.0,9.0,0.0,2.0,0.0,0.0,135630.32,0.0 +635.0,Germany,Male,53.0,8.0,117005.55,1.0,0.0,1.0,123646.57, +604.0,France,Male,40.0,1.0,84315.02,1.0,0.0,0.0,36209.1,1.0 +668.0,Germany,Female,46.0,7.0,161806.09,1.0,1.0,1.0,173052.19,1.0 +547.0,Germany,Female,30.0,9.0,72392.41,1.0,1.0,0.0,77077.14,0.0 +590.0,France,Male,43.0,7.0,81076.8,2.0,1.0,1.0,182627.25,1.0 +603.0,Germany,Male,44.0,6.0,108122.39,2.0,1.0,0.0,108488.33,0.0 +589.0,France,Male,32.0,2.0,0.0,2.0,0.0,1.0,9468.64,0.0 +830.0,Spain,Male,40.0,4.0,0.0,2.0,0.0,1.0,81622.52,0.0 +543.0,France,Female,67.0,0.0,128843.67,1.0,1.0,1.0,134612.48, +721.0,Germany,Male,28.0,9.0,154475.54,2.0,0.0,1.0,101300.94,0.0 +740.0,France,Female,60.0,5.0,108028.08,2.0,0.0,0.0,25980.42,0.0 +512.0,Germany,Female,32.0,2.0,123403.85,2.0,1.0,0.0,80120.19,0.0 +619.0,France,Female,55.0,0.0,0.0,3.0,0.0,0.0,60810.64,0.0 +792.0,Spain,Male,47.0,0.0,0.0,1.0,1.0,1.0,5557.88,0.0 +685.0,Spain,Male,43.0,4.0,97392.18,2.0,1.0,0.0,43956.83,0.0 +670.0,France,Female,50.0,8.0,138340.06,1.0,0.0,1.0,3159.15,1.0 +710.0,Germany,Female,24.0,7.0,103099.17,2.0,1.0,0.0,173276.62, +657.0,Spain,Male,41.0,8.0,109402.13,1.0,1.0,1.0,66463.62, +775.0,Spain,Male,48.0,4.0,178144.91,2.0,0.0,0.0,50168.41,0.0 +639.0,Spain,Female,39.0,1.0,141789.15,1.0,1.0,0.0,92455.96,0.0 +632.0,France,Female,34.0,2.0,0.0,2.0,0.0,0.0,165385.55, +624.0,Spain,Female,38.0,8.0,0.0,2.0,1.0,0.0,95403.41,0.0 +708.0,France,Female,34.0,4.0,0.0,1.0,1.0,1.0,62868.33,0.0 +762.0,France,Male,35.0,9.0,0.0,2.0,1.0,1.0,43075.7,0.0 +710.0,France,Female,31.0,3.0,0.0,2.0,1.0,1.0,112289.06,0.0 +686.0,France,Female,44.0,7.0,55053.62,1.0,1.0,0.0,181757.19,0.0 +447.0,France,Male,43.0,2.0,0.0,2.0,1.0,0.0,33879.26,0.0 +714.0,Spain,Male,27.0,3.0,0.0,3.0,1.0,1.0,129130.09,1.0 +780.0,Germany,Male,51.0,4.0,126725.25,1.0,1.0,0.0,195259.31, +678.0,France,Male,43.0,1.0,133237.21,1.0,1.0,0.0,111032.79,1.0 +652.0,Germany,Male,35.0,7.0,104015.54,2.0,1.0,1.0,55207.88, +794.0,France,Female,41.0,7.0,176845.41,3.0,1.0,0.0,166526.26,0.0 +710.0,Spain,Female,30.0,10.0,0.0,2.0,1.0,0.0,19500.1, +455.0,Spain,Female,43.0,6.0,0.0,1.0,1.0,1.0,81250.79,0.0 +509.0,France,Male,26.0,10.0,0.0,2.0,1.0,1.0,6177.83, +525.0,Spain,Female,60.0,7.0,0.0,2.0,0.0,1.0,168034.9,0.0 +685.0,Spain,Male,39.0,9.0,0.0,2.0,1.0,1.0,18826.06,0.0 +532.0,France,Male,43.0,9.0,0.0,2.0,0.0,0.0,190573.91, +608.0,Spain,Male,48.0,7.0,75801.74,1.0,1.0,0.0,125762.95,0.0 +650.0,Spain,Male,20.0,8.0,0.0,2.0,1.0,1.0,113469.65,0.0 +697.0,Germany,Male,31.0,3.0,108805.42,2.0,0.0,1.0,123825.83,0.0 +712.0,Germany,Female,49.0,5.0,154776.42,2.0,0.0,0.0,196257.68,0.0 +573.0,Spain,Male,38.0,4.0,0.0,2.0,1.0,1.0,196517.43,0.0 +656.0,France,Male,41.0,2.0,0.0,2.0,1.0,0.0,158973.77,0.0 +702.0,France,Male,45.0,9.0,74989.58,1.0,1.0,1.0,171014.69,0.0 +596.0,Spain,Female,76.0,9.0,134208.25,1.0,1.0,1.0,13455.43,1.0 +677.0,Spain,Female,34.0,4.0,0.0,2.0,1.0,1.0,6175.53,0.0 +521.0,Germany,Female,40.0,9.0,134504.78,1.0,1.0,0.0,18082.06,1.0 +664.0,Germany,Male,26.0,7.0,116244.14,2.0,1.0,1.0,95145.14,0.0 +521.0,Germany,Male,41.0,8.0,120586.54,1.0,0.0,1.0,20491.15, +666.0,France,Female,27.0,1.0,85225.21,1.0,0.0,1.0,64511.44, +602.0,France,Male,59.0,7.0,0.0,2.0,1.0,1.0,162347.05,0.0 +609.0,France,Male,32.0,7.0,71872.19,1.0,1.0,1.0,151924.9,0.0 +846.0,Spain,Male,61.0,0.0,0.0,2.0,1.0,1.0,96202.44, +526.0,France,Male,30.0,9.0,0.0,2.0,0.0,0.0,100995.68,0.0 +679.0,Spain,Male,58.0,9.0,109327.65,1.0,1.0,1.0,3829.13,0.0 +818.0,Germany,Female,72.0,8.0,135290.42,2.0,1.0,1.0,63729.72,0.0 +674.0,France,Female,42.0,9.0,0.0,2.0,1.0,0.0,4292.72,0.0 +461.0,Spain,Female,25.0,6.0,0.0,2.0,1.0,1.0,15306.29, +650.0,Spain,Female,50.0,7.0,129667.77,1.0,0.0,0.0,42028.16, +640.0,France,Male,38.0,9.0,0.0,2.0,1.0,0.0,88827.67,0.0 +700.0,Germany,Female,28.0,3.0,99705.69,2.0,0.0,0.0,146723.72,1.0 +592.0,Germany,Female,70.0,5.0,71816.74,2.0,1.0,0.0,105096.82, +632.0,Spain,Male,28.0,7.0,155519.59,1.0,1.0,0.0,1843.24, +650.0,France,Female,47.0,9.0,0.0,1.0,1.0,0.0,187943.6, +727.0,Spain,Female,57.0,1.0,109679.72,1.0,0.0,1.0,753.37,0.0 +587.0,Germany,Female,39.0,6.0,101851.8,2.0,1.0,0.0,7103.71,0.0 +695.0,France,Female,36.0,2.0,0.0,2.0,0.0,1.0,167749.54,1.0 +452.0,France,Male,30.0,7.0,112935.87,1.0,1.0,1.0,99017.34,0.0 +775.0,Spain,Male,29.0,10.0,0.0,2.0,1.0,1.0,68143.93,0.0 +753.0,Germany,Female,47.0,1.0,131160.85,1.0,1.0,0.0,197444.69,0.0 +711.0,France,Male,38.0,4.0,123345.85,1.0,1.0,0.0,141827.83,0.0 +704.0,France,Male,23.0,6.0,166594.78,1.0,1.0,1.0,155823.2,0.0 +584.0,Spain,Female,30.0,5.0,0.0,2.0,1.0,1.0,185201.58,0.0 +685.0,Spain,Male,34.0,6.0,83264.28,1.0,0.0,0.0,9663.28,0.0 +642.0,France,Male,30.0,8.0,80964.57,2.0,1.0,0.0,174738.2,0.0 +611.0,France,Male,53.0,3.0,83568.26,1.0,0.0,0.0,1235.49,0.0 +601.0,France,Male,50.0,2.0,115625.07,1.0,1.0,0.0,185855.21,0.0 +805.0,France,Female,31.0,4.0,0.0,2.0,1.0,0.0,4798.12,1.0 +641.0,France,Male,30.0,2.0,87505.47,2.0,0.0,1.0,7278.57,0.0 +491.0,Germany,Male,70.0,6.0,148745.92,2.0,1.0,1.0,17818.33,1.0 +620.0,France,Female,41.0,9.0,0.0,2.0,0.0,0.0,88852.47,1.0 +490.0,France,Male,29.0,4.0,0.0,2.0,1.0,0.0,32089.57,1.0 +804.0,France,Male,55.0,7.0,0.0,2.0,1.0,1.0,118752.6,1.0 +555.0,Spain,Male,32.0,10.0,0.0,2.0,0.0,1.0,168605.96, +679.0,France,Female,30.0,1.0,112543.42,1.0,1.0,1.0,179435.21,1.0 +598.0,Spain,Male,34.0,0.0,104488.17,1.0,0.0,1.0,43249.67, +446.0,France,Male,32.0,8.0,0.0,2.0,0.0,0.0,133292.94,0.0 +639.0,France,Female,38.0,4.0,81550.94,2.0,0.0,1.0,118974.77,0.0 +601.0,France,Male,39.0,3.0,72647.64,1.0,1.0,0.0,41777.9, +523.0,France,Female,28.0,2.0,121164.11,1.0,1.0,1.0,59938.81,0.0 +752.0,France,Male,39.0,3.0,0.0,1.0,1.0,0.0,188187.05,0.0 +422.0,France,Male,54.0,3.0,140014.42,1.0,0.0,1.0,86350.97,0.0 +657.0,France,Female,37.0,6.0,95845.6,1.0,1.0,0.0,122218.23,1.0 +591.0,France,Male,35.0,7.0,183027.25,1.0,1.0,1.0,56028.79,0.0 +600.0,Germany,Male,28.0,2.0,116623.31,1.0,0.0,1.0,59905.29,0.0 +669.0,Spain,Male,29.0,9.0,0.0,1.0,1.0,1.0,93901.61, +630.0,France,Male,34.0,9.0,0.0,2.0,1.0,1.0,114006.35, +593.0,Spain,Male,43.0,10.0,0.0,2.0,0.0,0.0,53478.02,0.0 +540.0,France,Male,22.0,4.0,0.0,3.0,1.0,1.0,186233.26,0.0 +601.0,France,Female,34.0,5.0,0.0,2.0,1.0,0.0,27022.57,1.0 +421.0,Spain,Male,34.0,6.0,90723.36,1.0,1.0,1.0,12162.76, +697.0,Germany,Male,43.0,7.0,115371.94,2.0,1.0,0.0,64139.1,0.0 +481.0,France,Female,28.0,10.0,0.0,2.0,1.0,0.0,145215.96, +582.0,France,Male,29.0,0.0,0.0,1.0,1.0,0.0,142516.35,1.0 +757.0,France,Male,47.0,3.0,130747.1,1.0,1.0,0.0,143829.54, +555.0,Spain,Female,35.0,1.0,0.0,2.0,1.0,0.0,101667.0,0.0 +633.0,France,Male,38.0,2.0,91902.56,2.0,1.0,1.0,107673.35, +646.0,France,Male,35.0,6.0,84026.86,1.0,0.0,1.0,164255.69,0.0 +473.0,France,Female,35.0,6.0,69617.36,1.0,1.0,0.0,143345.69,0.0 +658.0,France,Female,24.0,2.0,0.0,2.0,1.0,1.0,84694.49,0.0 +730.0,Spain,Female,52.0,7.0,0.0,2.0,0.0,1.0,122398.84,1.0 +660.0,Spain,Male,42.0,5.0,0.0,2.0,1.0,0.0,115509.59,0.0 +710.0,France,Male,43.0,9.0,128284.45,1.0,1.0,0.0,32996.89, +747.0,France,Female,21.0,4.0,81025.6,2.0,1.0,0.0,167682.57, +658.0,France,Male,20.0,7.0,0.0,2.0,0.0,0.0,187638.34,1.0 +634.0,France,Male,37.0,5.0,115345.86,2.0,0.0,0.0,168781.8, +548.0,Spain,Male,33.0,6.0,0.0,1.0,1.0,1.0,31728.35, +743.0,Germany,Male,65.0,2.0,131935.51,1.0,1.0,1.0,96399.67,0.0 +625.0,France,Female,51.0,7.0,136294.97,1.0,1.0,0.0,38867.46,0.0 +671.0,Germany,Male,45.0,6.0,99564.22,1.0,1.0,1.0,108872.45,0.0 +619.0,France,Male,25.0,4.0,0.0,1.0,1.0,0.0,145524.36,1.0 +590.0,Spain,Male,34.0,0.0,65812.35,2.0,0.0,1.0,160346.3,0.0 +534.0,France,Male,24.0,1.0,0.0,1.0,1.0,1.0,169653.32,0.0 +651.0,France,Male,28.0,10.0,79562.98,1.0,1.0,1.0,74687.37, +850.0,France,Female,38.0,2.0,0.0,2.0,1.0,0.0,9015.07,0.0 +609.0,France,Male,37.0,6.0,0.0,2.0,0.0,1.0,22030.72,0.0 +845.0,Spain,Female,52.0,0.0,0.0,1.0,1.0,0.0,31726.76,0.0 +589.0,France,Female,61.0,1.0,0.0,1.0,1.0,0.0,61108.56,1.0 +671.0,Germany,Male,28.0,8.0,119859.52,2.0,1.0,0.0,125422.66, +555.0,France,Male,24.0,5.0,0.0,2.0,1.0,0.0,27513.47,0.0 +655.0,Germany,Male,41.0,8.0,125561.97,1.0,0.0,0.0,164040.94,0.0 +569.0,Spain,Female,51.0,3.0,0.0,3.0,1.0,0.0,75084.96,1.0 +716.0,France,Female,35.0,8.0,112808.18,1.0,0.0,1.0,17848.3,0.0 +567.0,Germany,Female,40.0,2.0,105222.86,2.0,1.0,0.0,93795.86,0.0 +540.0,Germany,Male,37.0,3.0,129965.18,1.0,0.0,0.0,19374.08,1.0 +635.0,Spain,Male,50.0,7.0,159453.64,2.0,0.0,0.0,54560.79,1.0 +663.0,Spain,Male,52.0,0.0,136298.65,1.0,1.0,0.0,144593.3,0.0 +746.0,Spain,Male,36.0,2.0,0.0,2.0,1.0,1.0,16436.56,1.0 +464.0,France,Male,38.0,3.0,116439.65,1.0,1.0,0.0,75574.48,1.0 +703.0,Germany,Female,26.0,1.0,97331.19,1.0,1.0,0.0,63717.49,1.0 +809.0,France,Female,39.0,5.0,0.0,1.0,1.0,0.0,77705.75, +645.0,France,Female,36.0,8.0,0.0,2.0,1.0,1.0,12096.61,0.0 +709.0,France,Female,41.0,3.0,150300.65,2.0,1.0,0.0,71672.86,0.0 +714.0,Spain,Male,45.0,0.0,124693.48,1.0,0.0,1.0,187194.15,0.0 +592.0,Germany,Male,33.0,2.0,156570.86,1.0,1.0,1.0,37140.2,0.0 +512.0,France,Male,24.0,6.0,0.0,2.0,1.0,0.0,37654.31,0.0 +771.0,Germany,Female,38.0,5.0,137657.71,2.0,1.0,0.0,72985.61, +663.0,France,Male,40.0,6.0,156218.19,1.0,0.0,1.0,33607.72, +576.0,France,Male,39.0,1.0,0.0,2.0,1.0,1.0,68814.23, +617.0,Spain,Male,50.0,7.0,0.0,1.0,1.0,0.0,184839.7,0.0 +677.0,France,Female,37.0,3.0,0.0,2.0,1.0,1.0,38252.25, +660.0,France,Male,34.0,1.0,0.0,2.0,1.0,0.0,9692.58,0.0 +511.0,France,Female,33.0,3.0,0.0,2.0,1.0,0.0,132436.71,0.0 +741.0,Germany,Male,38.0,4.0,128015.83,1.0,1.0,0.0,58440.43,1.0 +740.0,Germany,Female,57.0,3.0,113386.36,2.0,1.0,1.0,65121.63,0.0 +713.0,France,Female,39.0,10.0,0.0,2.0,1.0,1.0,126263.97, +642.0,Germany,Male,22.0,10.0,111812.52,2.0,1.0,1.0,183045.46, +687.0,France,Female,31.0,2.0,0.0,2.0,0.0,1.0,145411.39,0.0 +724.0,France,Female,37.0,10.0,68598.56,1.0,1.0,0.0,157862.82,1.0 +592.0,France,Male,71.0,4.0,0.0,2.0,0.0,1.0,17013.54,1.0 +598.0,Germany,Male,41.0,3.0,91536.93,1.0,1.0,0.0,191468.78,0.0 +616.0,France,Male,44.0,5.0,102016.38,1.0,0.0,1.0,178235.37,0.0 +483.0,France,Male,48.0,1.0,0.0,2.0,1.0,1.0,110059.38,0.0 +685.0,France,Female,33.0,6.0,0.0,2.0,0.0,1.0,186785.01,0.0 +680.0,Spain,Male,35.0,9.0,0.0,2.0,0.0,0.0,143774.06,0.0 +666.0,Germany,Female,44.0,2.0,122314.5,1.0,0.0,0.0,68574.88,0.0 +685.0,Germany,Female,30.0,4.0,84958.6,2.0,0.0,1.0,194343.72,1.0 +531.0,France,Male,31.0,3.0,0.0,1.0,1.0,1.0,42589.33,0.0 +655.0,Germany,Female,61.0,2.0,183997.7,2.0,1.0,1.0,161217.18, +675.0,France,Male,34.0,8.0,0.0,2.0,1.0,1.0,184842.21,0.0 +489.0,France,Female,38.0,5.0,117289.92,1.0,0.0,0.0,85231.88,0.0 +696.0,Spain,Female,30.0,0.0,0.0,2.0,1.0,1.0,9002.8,0.0 +628.0,France,Female,37.0,9.0,0.0,2.0,1.0,1.0,34689.77,0.0 +560.0,Spain,Female,28.0,1.0,0.0,2.0,1.0,1.0,120880.72,0.0 +683.0,France,Male,36.0,5.0,115350.63,1.0,1.0,1.0,122305.91,0.0 +831.0,Spain,Female,44.0,10.0,0.0,1.0,0.0,1.0,47729.33,0.0 +783.0,France,Female,72.0,5.0,121215.9,2.0,1.0,1.0,105206.48,0.0 +637.0,Germany,Female,27.0,7.0,135842.89,1.0,1.0,1.0,101418.05,0.0 +684.0,Spain,Male,24.0,8.0,143582.89,1.0,1.0,1.0,22527.27, +500.0,Spain,Male,37.0,9.0,125822.21,1.0,1.0,0.0,111698.0,0.0 +682.0,Germany,Male,32.0,2.0,105163.88,2.0,1.0,1.0,164170.46, +766.0,Germany,Male,47.0,9.0,129289.98,1.0,1.0,0.0,169935.46, +748.0,Germany,Male,45.0,2.0,119852.01,1.0,0.0,0.0,73853.94,1.0 +675.0,France,Female,49.0,0.0,0.0,1.0,1.0,1.0,80496.71,0.0 +579.0,France,Female,33.0,1.0,65667.79,2.0,0.0,0.0,164608.98,0.0 +622.0,Germany,Male,33.0,3.0,96926.12,2.0,1.0,0.0,48553.77,0.0 +618.0,Germany,Female,29.0,10.0,100315.1,2.0,1.0,1.0,32526.64,0.0 +642.0,France,Female,40.0,7.0,0.0,2.0,1.0,0.0,183963.34,0.0 +529.0,France,Male,22.0,5.0,0.0,1.0,1.0,0.0,151169.83,0.0 +647.0,Germany,Female,35.0,3.0,166518.63,2.0,1.0,0.0,147930.46,1.0 +473.0,France,Female,33.0,5.0,125827.43,1.0,0.0,1.0,145698.73,0.0 +679.0,France,Male,39.0,0.0,86843.61,1.0,0.0,1.0,159830.58, +644.0,France,Female,37.0,8.0,0.0,2.0,1.0,0.0,20968.88,0.0 +838.0,France,Male,31.0,2.0,0.0,2.0,1.0,0.0,8222.96, +676.0,France,Male,38.0,1.0,0.0,2.0,0.0,1.0,35644.79,0.0 +614.0,Spain,Male,36.0,5.0,0.0,2.0,1.0,0.0,130610.78,0.0 +765.0,Germany,Female,34.0,8.0,136729.51,2.0,0.0,0.0,47058.21,0.0 +850.0,Germany,Male,27.0,1.0,101278.25,2.0,1.0,1.0,26265.18, +627.0,Spain,Male,49.0,4.0,111087.5,1.0,0.0,1.0,146680.25,0.0 +582.0,Spain,Male,33.0,6.0,0.0,2.0,0.0,1.0,72970.93,0.0 +609.0,France,Male,41.0,6.0,0.0,1.0,0.0,1.0,112585.19, +520.0,France,Female,39.0,6.0,145644.05,1.0,0.0,0.0,104118.93, +516.0,Germany,Male,50.0,7.0,139675.07,2.0,1.0,0.0,45591.23,1.0 +828.0,France,Male,30.0,4.0,73070.18,2.0,0.0,0.0,161671.15,1.0 +704.0,Spain,Male,24.0,10.0,122109.78,1.0,1.0,1.0,127654.37,1.0 +521.0,Spain,Female,49.0,4.0,82940.25,2.0,0.0,0.0,62413.01,0.0 +580.0,France,Male,31.0,2.0,0.0,2.0,0.0,1.0,64014.24,0.0 +724.0,France,Female,34.0,2.0,0.0,2.0,1.0,1.0,118863.38,0.0 +736.0,France,Female,29.0,9.0,0.0,2.0,0.0,0.0,176152.7, +555.0,Spain,Male,33.0,5.0,127343.4,1.0,0.0,1.0,121789.3,1.0 +637.0,France,Male,32.0,5.0,0.0,1.0,0.0,0.0,148769.08,1.0 +689.0,Germany,Male,45.0,0.0,130170.82,2.0,1.0,0.0,150856.38,1.0 +668.0,Germany,Female,39.0,0.0,122104.79,1.0,1.0,0.0,112946.67,0.0 +630.0,Spain,Female,49.0,1.0,0.0,2.0,0.0,1.0,162858.29,0.0 +791.0,France,Male,34.0,7.0,0.0,2.0,1.0,0.0,96734.46,0.0 +557.0,France,Female,39.0,7.0,49572.73,1.0,1.0,0.0,115287.99,1.0 +604.0,France,Female,47.0,8.0,62094.71,3.0,0.0,0.0,9308.1,0.0 +729.0,France,Female,32.0,7.0,38550.06,1.0,0.0,1.0,179230.23, +683.0,France,Male,41.0,6.0,95696.52,2.0,1.0,1.0,184366.14,1.0 +676.0,France,Male,38.0,8.0,0.0,2.0,1.0,1.0,133692.88,1.0 +503.0,France,Male,29.0,3.0,0.0,2.0,1.0,1.0,143954.99,0.0 +636.0,Germany,Female,28.0,2.0,115265.14,1.0,0.0,0.0,191627.85,1.0 +729.0,France,Female,34.0,9.0,132121.71,1.0,0.0,1.0,105409.31,0.0 +648.0,France,Female,34.0,3.0,0.0,1.0,1.0,0.0,54726.43,0.0 +626.0,Spain,Male,26.0,8.0,0.0,2.0,0.0,0.0,191420.71,0.0 +710.0,Germany,Female,24.0,2.0,110407.44,2.0,0.0,0.0,15832.43,0.0 +565.0,Spain,Male,38.0,0.0,122447.76,1.0,0.0,0.0,67339.34,0.0 +645.0,France,Male,19.0,9.0,128514.84,1.0,0.0,0.0,175969.19,0.0 +746.0,Spain,Male,30.0,1.0,112666.67,1.0,0.0,0.0,11710.4,0.0 +730.0,Spain,Male,62.0,5.0,112181.08,1.0,0.0,1.0,61513.87,0.0 +699.0,Spain,Male,26.0,6.0,79932.41,1.0,0.0,0.0,150242.44,0.0 +627.0,France,Male,70.0,1.0,94416.78,1.0,0.0,1.0,145299.5, +829.0,Germany,Female,27.0,9.0,112045.67,1.0,1.0,1.0,119708.21,0.0 +642.0,Germany,Female,19.0,3.0,113905.48,1.0,1.0,1.0,176137.2,0.0 +554.0,France,Male,39.0,2.0,129709.62,1.0,1.0,0.0,173197.12,0.0 +676.0,Germany,Male,28.0,1.0,69459.05,2.0,1.0,1.0,128461.29,0.0 +739.0,France,Female,37.0,8.0,0.0,2.0,1.0,0.0,191557.1,0.0 +513.0,France,Male,29.0,10.0,0.0,2.0,0.0,1.0,25514.77,0.0 +643.0,Spain,Female,34.0,8.0,117451.47,1.0,1.0,0.0,65374.86,0.0 +608.0,Spain,Male,66.0,8.0,123935.35,1.0,1.0,1.0,65758.19,0.0 +587.0,Germany,Female,45.0,8.0,134980.74,1.0,1.0,1.0,123309.57,1.0 +605.0,France,Female,33.0,4.0,0.0,2.0,0.0,1.0,83700.66,1.0 +524.0,France,Female,28.0,7.0,0.0,2.0,0.0,1.0,147100.72,0.0 +660.0,Germany,Female,52.0,4.0,86891.84,1.0,1.0,0.0,90877.76,0.0 +849.0,France,Female,41.0,6.0,0.0,2.0,1.0,1.0,169203.51,0.0 +692.0,Spain,Male,28.0,9.0,118945.09,1.0,0.0,0.0,16064.25,0.0 +526.0,Germany,Male,34.0,3.0,122726.56,1.0,1.0,1.0,46772.36, +683.0,Germany,Female,35.0,5.0,95698.79,1.0,0.0,1.0,182566.76,1.0 +820.0,France,Female,49.0,1.0,0.0,2.0,1.0,1.0,119087.25,0.0 +567.0,Spain,Male,34.0,10.0,0.0,2.0,0.0,1.0,161571.79,0.0 +560.0,France,Male,24.0,1.0,116084.32,1.0,1.0,0.0,89734.7, +549.0,Germany,Male,41.0,9.0,95020.8,3.0,1.0,1.0,131710.59,0.0 +652.0,Spain,Female,38.0,1.0,103895.31,1.0,0.0,1.0,159649.44,0.0 +658.0,Germany,Female,55.0,8.0,119327.93,1.0,0.0,1.0,119439.66,1.0 +705.0,Germany,Male,42.0,8.0,166685.92,2.0,1.0,1.0,55313.51,0.0 +603.0,France,Female,34.0,9.0,0.0,2.0,1.0,0.0,167916.35, +745.0,Germany,Female,44.0,0.0,119638.21,1.0,1.0,1.0,34265.08,0.0 +669.0,France,Female,47.0,9.0,61196.54,1.0,1.0,0.0,58170.24,0.0 +556.0,France,Female,52.0,9.0,0.0,1.0,1.0,0.0,175149.2,0.0 +473.0,Germany,Male,40.0,8.0,152576.25,2.0,1.0,0.0,73073.68,0.0 +566.0,France,Male,36.0,1.0,142120.91,1.0,1.0,0.0,79616.37,0.0 +850.0,France,Male,30.0,10.0,153972.89,2.0,1.0,0.0,62811.03,0.0 +850.0,France,Male,43.0,4.0,161256.53,1.0,1.0,1.0,140071.57,0.0 +735.0,France,Female,53.0,8.0,123845.36,2.0,0.0,1.0,170454.93,0.0 +560.0,France,Male,50.0,3.0,0.0,2.0,1.0,0.0,84531.79, +690.0,Germany,Male,44.0,9.0,100368.63,2.0,0.0,0.0,35342.33,0.0 +550.0,France,Male,47.0,2.0,0.0,2.0,1.0,1.0,97057.28, +644.0,Spain,Female,26.0,4.0,153455.72,2.0,1.0,1.0,82696.84,0.0 +705.0,Germany,Female,46.0,4.0,115518.07,1.0,0.0,0.0,76544.9, +637.0,Germany,Male,30.0,6.0,122641.56,2.0,1.0,0.0,65618.01,0.0 +679.0,France,Male,41.0,8.0,147726.98,3.0,1.0,0.0,172749.4,0.0 +744.0,France,Female,39.0,6.0,0.0,1.0,0.0,0.0,10662.58,1.0 +576.0,France,Female,41.0,4.0,112609.91,1.0,0.0,0.0,191035.18,0.0 +650.0,Germany,Female,28.0,5.0,122034.4,3.0,0.0,1.0,146663.43, +529.0,Germany,Male,72.0,5.0,94216.05,1.0,1.0,1.0,78695.68,0.0 +584.0,France,Female,35.0,2.0,114321.28,2.0,0.0,0.0,15959.01, +602.0,Spain,Male,30.0,9.0,113672.18,2.0,0.0,0.0,102135.92,0.0 +708.0,Germany,Female,43.0,0.0,118994.84,1.0,1.0,0.0,181499.77,0.0 +581.0,Germany,Female,38.0,3.0,135157.05,1.0,1.0,1.0,32919.42, +705.0,France,Male,30.0,1.0,0.0,1.0,1.0,1.0,181300.32,0.0 +570.0,France,Male,37.0,6.0,0.0,1.0,1.0,1.0,187758.5,0.0 +703.0,Spain,Male,31.0,6.0,0.0,2.0,1.0,1.0,67667.19, +580.0,France,Male,55.0,6.0,104305.74,1.0,0.0,1.0,175750.21,0.0 +479.0,Germany,Male,35.0,4.0,138718.92,1.0,1.0,1.0,47251.79,0.0 +752.0,France,Female,30.0,3.0,0.0,2.0,1.0,1.0,104991.28,0.0 +443.0,Germany,Male,59.0,4.0,110939.3,1.0,1.0,0.0,72846.58, +704.0,France,Male,39.0,5.0,0.0,1.0,1.0,0.0,6416.92,0.0 +630.0,France,Male,28.0,9.0,0.0,2.0,0.0,0.0,32599.35,1.0 +470.0,Spain,Female,48.0,6.0,140576.11,1.0,1.0,1.0,116971.05, +595.0,Germany,Male,32.0,8.0,131081.66,2.0,1.0,1.0,69428.79,0.0 +767.0,France,Male,43.0,1.0,76408.85,2.0,1.0,0.0,77837.63,0.0 +504.0,France,Female,49.0,7.0,0.0,3.0,0.0,1.0,87822.14,1.0 +682.0,France,Female,52.0,5.0,112670.48,1.0,1.0,0.0,21085.17, +797.0,France,Male,37.0,4.0,75263.7,1.0,1.0,0.0,85801.77, +568.0,Germany,Male,40.0,1.0,99282.63,1.0,0.0,0.0,134600.94,0.0 +705.0,Germany,Female,54.0,3.0,125889.3,3.0,1.0,0.0,96013.5,1.0 +541.0,Germany,Male,51.0,7.0,90373.28,2.0,1.0,0.0,179861.79,1.0 +537.0,France,Male,59.0,9.0,0.0,2.0,0.0,0.0,103799.77,0.0 +711.0,France,Male,34.0,8.0,0.0,2.0,0.0,0.0,48260.19,0.0 +577.0,France,Female,37.0,4.0,0.0,1.0,1.0,1.0,79881.39,0.0 +549.0,France,Male,37.0,2.0,112541.54,2.0,0.0,0.0,47432.43,0.0 +742.0,Germany,Male,33.0,1.0,137937.95,1.0,1.0,1.0,51387.1, +611.0,France,Male,49.0,3.0,0.0,2.0,1.0,1.0,142917.54,0.0 +588.0,France,Female,64.0,3.0,0.0,1.0,1.0,1.0,189703.65,0.0 +764.0,France,Male,24.0,7.0,98148.61,1.0,1.0,0.0,26843.76,0.0 +767.0,France,Female,42.0,2.0,133616.39,1.0,1.0,0.0,28615.8, +607.0,Germany,Male,40.0,5.0,90594.55,1.0,0.0,1.0,181598.25,0.0 +573.0,Spain,Female,44.0,4.0,0.0,1.0,1.0,1.0,94862.93,0.0 +576.0,France,Male,40.0,9.0,0.0,2.0,1.0,0.0,112465.19, +817.0,Germany,Female,27.0,7.0,129810.6,1.0,1.0,1.0,59259.44, +695.0,Germany,Male,52.0,8.0,103023.26,1.0,1.0,1.0,22485.64,1.0 +697.0,Spain,Male,43.0,10.0,128226.37,1.0,0.0,0.0,188486.94, +524.0,France,Male,29.0,7.0,0.0,2.0,1.0,1.0,105448.74, +645.0,France,Male,32.0,4.0,0.0,2.0,0.0,1.0,97628.08,0.0 +646.0,France,Male,40.0,5.0,93680.43,2.0,1.0,1.0,179473.26,1.0 +590.0,France,Male,36.0,1.0,0.0,2.0,1.0,0.0,48876.84, +716.0,Spain,Female,29.0,8.0,0.0,2.0,0.0,0.0,78616.92, +721.0,France,Male,41.0,6.0,135071.12,1.0,1.0,1.0,64477.25, +658.0,Germany,Male,37.0,3.0,168735.74,2.0,0.0,0.0,70370.24,0.0 +633.0,Spain,Male,32.0,5.0,163340.12,2.0,1.0,1.0,74415.2,1.0 +471.0,Germany,Male,23.0,6.0,104592.55,2.0,1.0,0.0,131736.23,0.0 +686.0,France,Male,39.0,4.0,0.0,2.0,1.0,0.0,155023.93,0.0 +648.0,France,Male,32.0,0.0,0.0,1.0,0.0,1.0,117323.31,0.0 +591.0,France,Male,45.0,5.0,0.0,2.0,1.0,1.0,155492.87,0.0 +667.0,France,Female,37.0,9.0,71786.9,2.0,1.0,1.0,67734.79, +560.0,France,Male,49.0,4.0,0.0,1.0,1.0,1.0,100075.1, +799.0,France,Female,52.0,4.0,161209.66,1.0,1.0,1.0,89081.41,0.0 +651.0,Germany,Male,26.0,5.0,147037.32,1.0,0.0,0.0,141763.26,0.0 +715.0,France,Male,40.0,7.0,0.0,1.0,1.0,1.0,141359.11,0.0 +666.0,Germany,Male,71.0,1.0,53013.29,2.0,1.0,1.0,112222.64,0.0 +577.0,France,Female,34.0,2.0,0.0,2.0,1.0,1.0,84033.35,0.0 +625.0,Germany,Female,55.0,8.0,118772.71,4.0,0.0,0.0,135853.62, +690.0,France,Male,38.0,1.0,94456.0,2.0,0.0,1.0,55034.02,0.0 +594.0,Spain,Female,38.0,10.0,0.0,2.0,1.0,0.0,58332.91,1.0 +590.0,France,Female,29.0,4.0,0.0,2.0,1.0,0.0,121846.81,0.0 +678.0,Spain,Male,28.0,5.0,138668.18,1.0,1.0,1.0,54144.01,0.0 +584.0,France,Male,47.0,5.0,0.0,2.0,1.0,0.0,89286.29, +600.0,France,Male,34.0,0.0,0.0,2.0,0.0,1.0,3756.23,0.0 +651.0,France,Male,36.0,7.0,0.0,2.0,1.0,0.0,13898.31,0.0 +734.0,Germany,Female,47.0,10.0,91522.04,2.0,1.0,1.0,138835.91,0.0 +762.0,France,Male,53.0,1.0,102520.37,1.0,1.0,1.0,170195.4,0.0 +569.0,France,Male,38.0,7.0,0.0,1.0,1.0,1.0,108469.2,0.0 +576.0,France,Female,29.0,5.0,108541.04,1.0,1.0,1.0,126469.09,0.0 +614.0,Spain,Female,41.0,7.0,146997.64,2.0,0.0,0.0,137791.18,1.0 +747.0,France,Male,49.0,6.0,202904.64,1.0,1.0,1.0,17298.72,1.0 +602.0,France,Female,72.0,3.0,0.0,2.0,1.0,1.0,171260.66,1.0 +516.0,France,Female,46.0,1.0,104947.72,1.0,1.0,0.0,115789.25,0.0 +584.0,Germany,Male,32.0,8.0,40172.91,1.0,1.0,1.0,137439.34,1.0 +595.0,Germany,Male,46.0,5.0,142360.62,2.0,1.0,0.0,48421.4,0.0 +439.0,France,Female,66.0,9.0,0.0,1.0,1.0,0.0,65535.56,0.0 +599.0,Germany,Male,61.0,1.0,124737.96,1.0,0.0,1.0,90389.61, +627.0,Germany,Male,52.0,1.0,76101.81,2.0,0.0,1.0,177238.35, +683.0,France,Male,30.0,4.0,66190.33,1.0,1.0,1.0,115186.97, +575.0,Spain,Female,37.0,0.0,0.0,2.0,0.0,0.0,30114.32,0.0 +632.0,Germany,Female,50.0,5.0,107959.39,1.0,1.0,1.0,6985.34, +727.0,Germany,Male,58.0,5.0,106913.43,1.0,1.0,0.0,25881.0,0.0 +620.0,Spain,Male,29.0,9.0,0.0,2.0,1.0,0.0,13133.88,1.0 +689.0,France,Female,40.0,1.0,0.0,2.0,1.0,1.0,119446.64, +627.0,Germany,Male,29.0,5.0,139541.58,2.0,1.0,0.0,80607.33,0.0 +676.0,France,Male,35.0,5.0,106836.67,2.0,1.0,0.0,84199.78,0.0 +511.0,Germany,Female,75.0,9.0,105609.17,1.0,0.0,1.0,105425.18,0.0 +404.0,Germany,Female,54.0,4.0,125456.07,1.0,1.0,0.0,83715.66,0.0 +647.0,Germany,Male,35.0,3.0,192407.97,1.0,1.0,1.0,40145.28,0.0 +669.0,France,Female,38.0,9.0,121858.98,1.0,1.0,0.0,130755.34,0.0 +835.0,France,Male,35.0,6.0,127120.07,1.0,1.0,0.0,28707.69,0.0 +737.0,France,Male,43.0,0.0,80090.93,1.0,1.0,0.0,39920.0,1.0 +713.0,Germany,Female,61.0,4.0,149525.34,2.0,1.0,0.0,123663.63,0.0 +787.0,Germany,Female,38.0,3.0,158373.23,1.0,1.0,1.0,28228.35,0.0 +626.0,Germany,Male,49.0,9.0,171787.84,2.0,1.0,0.0,187192.23,0.0 +746.0,France,Male,36.0,9.0,127157.04,1.0,1.0,1.0,155700.15,0.0 +724.0,France,Male,28.0,9.0,0.0,2.0,1.0,1.0,100240.2,0.0 +597.0,Germany,Female,72.0,6.0,124978.19,2.0,1.0,1.0,7144.46,0.0 +599.0,France,Male,58.0,4.0,0.0,1.0,0.0,0.0,176407.15,0.0 +575.0,Spain,Female,30.0,8.0,0.0,2.0,1.0,0.0,185341.63, +752.0,France,Female,53.0,8.0,114233.18,1.0,1.0,1.0,51587.04,0.0 +616.0,Spain,Female,36.0,6.0,132311.71,1.0,0.0,0.0,15462.84,0.0 +618.0,Spain,Female,40.0,8.0,0.0,2.0,1.0,0.0,80204.38,0.0 +555.0,France,Male,40.0,10.0,43028.77,1.0,1.0,0.0,170514.21,0.0 +678.0,France,Female,41.0,1.0,143443.61,1.0,1.0,0.0,196622.28,0.0 +486.0,Germany,Male,37.0,1.0,101438.0,1.0,0.0,0.0,51364.56,0.0 +661.0,France,Male,51.0,6.0,146606.6,1.0,1.0,1.0,68021.9,0.0 +607.0,Germany,Male,61.0,2.0,164523.5,2.0,1.0,1.0,35786.76,1.0 +593.0,Spain,Female,46.0,2.0,76597.79,1.0,1.0,1.0,54453.72,0.0 +629.0,France,Female,40.0,9.0,137409.19,1.0,1.0,0.0,175877.7, +541.0,France,Male,46.0,4.0,124547.13,2.0,1.0,0.0,94499.06,0.0 +594.0,France,Female,34.0,7.0,141525.55,1.0,0.0,0.0,9443.15,0.0 +498.0,France,Male,73.0,2.0,170241.7,2.0,1.0,1.0,165407.96,0.0 +739.0,Spain,Male,38.0,0.0,128366.44,1.0,1.0,0.0,12796.43,1.0 +748.0,Spain,Male,36.0,4.0,141573.55,1.0,1.0,0.0,82158.14,0.0 +515.0,Germany,Male,37.0,2.0,90432.92,1.0,1.0,1.0,188366.04,0.0 +757.0,Spain,Female,55.0,9.0,117294.12,4.0,1.0,0.0,94187.47,0.0 +725.0,France,Female,25.0,9.0,0.0,2.0,1.0,1.0,168607.74, +564.0,Spain,Female,35.0,9.0,0.0,2.0,1.0,1.0,105837.38,0.0 +791.0,Germany,Female,42.0,10.0,113657.41,2.0,0.0,1.0,139946.68,0.0 +584.0,France,Male,35.0,6.0,161613.94,2.0,1.0,1.0,148238.16, +606.0,France,Male,32.0,6.0,0.0,2.0,0.0,1.0,36540.63, +587.0,France,Male,47.0,6.0,71026.77,1.0,1.0,0.0,57962.41, +543.0,France,Male,42.0,7.0,0.0,1.0,1.0,1.0,56650.47, +850.0,France,Female,24.0,6.0,0.0,2.0,1.0,1.0,13159.9,0.0 +686.0,France,Female,35.0,8.0,105419.73,1.0,1.0,0.0,35356.46,0.0 +445.0,France,Male,25.0,6.0,0.0,2.0,1.0,0.0,119425.94,1.0 +729.0,France,Male,32.0,6.0,93694.42,1.0,1.0,1.0,79919.13,0.0 +646.0,Germany,Female,36.0,6.0,144773.29,2.0,1.0,0.0,53217.3,0.0 +765.0,France,Male,44.0,6.0,0.0,2.0,1.0,1.0,159899.97,1.0 +642.0,France,Male,72.0,1.0,160541.0,2.0,1.0,1.0,142223.94,0.0 +714.0,Spain,Female,33.0,10.0,103121.33,2.0,1.0,1.0,49672.01,0.0 +704.0,France,Male,36.0,3.0,114370.41,1.0,0.0,1.0,66810.48,0.0 +629.0,France,Female,39.0,10.0,0.0,2.0,1.0,1.0,43174.49, +582.0,France,Male,52.0,2.0,151457.88,1.0,0.0,1.0,40893.61,0.0 +503.0,Spain,Male,25.0,7.0,0.0,1.0,0.0,1.0,192841.13,0.0 +549.0,France,Male,29.0,3.0,0.0,2.0,1.0,0.0,146090.38,0.0 +607.0,France,Male,26.0,1.0,0.0,1.0,1.0,0.0,29818.2, +570.0,France,Female,18.0,4.0,82767.42,1.0,1.0,0.0,71811.9,0.0 +553.0,France,Male,32.0,7.0,64082.09,1.0,0.0,1.0,109159.58, +648.0,France,Female,44.0,2.0,0.0,2.0,1.0,1.0,58652.23,1.0 +681.0,France,Male,34.0,3.0,0.0,2.0,0.0,0.0,55816.2,1.0 +461.0,France,Female,35.0,5.0,0.0,1.0,1.0,1.0,54209.02, +850.0,Spain,Female,70.0,5.0,0.0,1.0,1.0,1.0,705.18,0.0 +565.0,France,Male,36.0,6.0,106192.1,1.0,1.0,0.0,149575.59,1.0 +650.0,Spain,Male,24.0,8.0,108881.73,1.0,1.0,0.0,104492.83,0.0 +581.0,Spain,Female,44.0,7.0,189318.16,2.0,1.0,0.0,45026.23,0.0 +657.0,France,Female,28.0,7.0,0.0,2.0,0.0,1.0,5177.62, +597.0,Germany,Female,35.0,8.0,131101.04,1.0,1.0,1.0,192852.67, +576.0,Germany,Male,44.0,9.0,119530.52,1.0,1.0,0.0,119056.68,0.0 +690.0,France,Female,42.0,5.0,0.0,2.0,0.0,1.0,120512.08, +639.0,France,Female,35.0,1.0,103015.12,2.0,1.0,1.0,139094.12,1.0 +749.0,Germany,Female,32.0,7.0,79523.13,1.0,0.0,1.0,157648.12, +574.0,Spain,Male,36.0,1.0,0.0,2.0,0.0,1.0,71709.12,0.0 +677.0,Germany,Male,34.0,3.0,126729.41,1.0,1.0,1.0,26106.39,1.0 +599.0,France,Male,50.0,3.0,121159.65,1.0,0.0,0.0,4033.39, +624.0,Germany,Female,35.0,0.0,180303.24,2.0,1.0,0.0,163587.9,0.0 +655.0,France,Female,45.0,7.0,57327.04,1.0,0.0,1.0,47349.0,1.0 +785.0,Germany,Female,33.0,6.0,127211.45,1.0,0.0,0.0,191961.83,0.0 +791.0,France,Male,37.0,2.0,163789.49,2.0,1.0,0.0,75832.53,0.0 +557.0,Spain,Male,34.0,3.0,0.0,1.0,0.0,1.0,123427.98,0.0 +565.0,Germany,Female,32.0,9.0,68067.24,1.0,1.0,0.0,143287.58,0.0 +503.0,Spain,Male,37.0,6.0,0.0,2.0,0.0,0.0,136506.86,0.0 +640.0,Spain,Male,62.0,3.0,0.0,1.0,1.0,1.0,101663.47,1.0 +604.0,France,Male,34.0,7.0,0.0,2.0,1.0,1.0,188078.55, +588.0,France,Female,24.0,0.0,0.0,2.0,1.0,1.0,140586.08,0.0 +443.0,France,Female,54.0,3.0,138547.97,1.0,1.0,1.0,70196.23,0.0 +499.0,France,Male,60.0,7.0,76961.6,2.0,1.0,1.0,83643.87, +632.0,Spain,Male,31.0,3.0,136556.44,1.0,1.0,0.0,82152.83,0.0 +554.0,France,Male,44.0,7.0,85304.27,1.0,1.0,1.0,58076.52,1.0 +586.0,France,Male,29.0,3.0,0.0,2.0,1.0,1.0,142238.54,0.0 +686.0,Germany,Male,33.0,9.0,141918.09,2.0,0.0,1.0,184036.47, +622.0,France,Male,29.0,7.0,101486.96,1.0,1.0,1.0,8788.35,0.0 +624.0,France,Male,37.0,0.0,0.0,2.0,0.0,0.0,112104.55,1.0 +603.0,Germany,Female,40.0,8.0,148897.02,1.0,0.0,0.0,105052.9,1.0 +710.0,France,Male,30.0,6.0,0.0,2.0,1.0,1.0,8991.17,0.0 +683.0,Spain,Male,34.0,9.0,114609.55,2.0,0.0,1.0,25339.29,0.0 +678.0,France,Female,43.0,7.0,178074.33,1.0,0.0,0.0,110405.9, +490.0,Germany,Female,41.0,0.0,139659.04,1.0,1.0,1.0,176254.12, +664.0,Germany,Male,25.0,6.0,172812.72,2.0,1.0,1.0,108008.65,0.0 +660.0,France,Male,41.0,3.0,0.0,2.0,1.0,1.0,108665.89,0.0 +753.0,France,Female,39.0,7.0,155062.8,1.0,1.0,1.0,16460.77,1.0 +708.0,France,Male,41.0,0.0,0.0,1.0,1.0,0.0,128400.62, +549.0,Germany,Female,45.0,3.0,143734.01,2.0,1.0,1.0,96404.38,1.0 +662.0,Spain,Female,30.0,9.0,0.0,2.0,0.0,1.0,157884.83,0.0 +538.0,Germany,Female,42.0,4.0,80380.24,1.0,1.0,0.0,119216.46,0.0 +755.0,France,Male,62.0,1.0,127706.33,2.0,0.0,1.0,142377.69,1.0 +721.0,Spain,Male,57.0,1.0,0.0,1.0,1.0,1.0,195940.96, +850.0,France,Female,28.0,1.0,105245.34,1.0,0.0,1.0,74780.13,0.0 +795.0,Spain,Male,35.0,8.0,0.0,2.0,1.0,0.0,167155.36,0.0 +535.0,Germany,Male,40.0,7.0,111756.5,1.0,1.0,0.0,8128.32,0.0 +445.0,Spain,Male,62.0,1.0,64119.38,1.0,1.0,1.0,76569.64,1.0 +826.0,Spain,Female,56.0,8.0,174506.1,2.0,0.0,1.0,161802.82,0.0 +715.0,France,Female,31.0,2.0,112212.14,2.0,1.0,1.0,181600.72,1.0 +637.0,France,Female,36.0,9.0,166939.88,1.0,1.0,1.0,72504.76, +524.0,France,Male,44.0,10.0,118569.03,2.0,0.0,0.0,82117.2, +676.0,France,Female,40.0,2.0,147803.48,1.0,1.0,0.0,95181.06,0.0 +648.0,Spain,Male,49.0,5.0,0.0,1.0,1.0,0.0,149946.43,0.0 +850.0,France,Female,32.0,8.0,0.0,2.0,1.0,1.0,55593.8, +743.0,France,Female,39.0,8.0,0.0,1.0,1.0,0.0,94263.44,0.0 +514.0,France,Male,32.0,8.0,0.0,2.0,1.0,0.0,95857.18,1.0 +609.0,France,Male,26.0,10.0,126392.18,1.0,0.0,1.0,43651.49,0.0 +496.0,Spain,Male,29.0,2.0,0.0,2.0,1.0,0.0,55389.59,0.0 +653.0,France,Female,31.0,7.0,102575.04,1.0,1.0,1.0,11043.54,0.0 +712.0,France,Female,33.0,6.0,0.0,2.0,1.0,1.0,190686.16,1.0 +589.0,France,Male,38.0,2.0,0.0,1.0,1.0,0.0,79915.28,0.0 +700.0,France,Female,42.0,8.0,0.0,2.0,1.0,1.0,105305.72, +700.0,Spain,Male,31.0,7.0,0.0,2.0,0.0,1.0,145151.96,0.0 +769.0,France,Female,39.0,8.0,0.0,1.0,0.0,1.0,21016.0,0.0 +668.0,Spain,Male,43.0,10.0,113034.31,1.0,1.0,1.0,100423.88,0.0 +741.0,France,Male,32.0,5.0,0.0,1.0,1.0,1.0,64839.23,1.0 +849.0,France,Female,41.0,9.0,115465.28,1.0,1.0,0.0,103174.5,0.0 +416.0,Germany,Female,25.0,0.0,97738.97,2.0,1.0,1.0,160523.33,1.0 +739.0,France,Female,30.0,6.0,0.0,1.0,0.0,0.0,122604.44, +649.0,France,Male,38.0,1.0,122214.0,1.0,0.0,1.0,88965.46,0.0 +614.0,France,Female,41.0,3.0,123475.04,1.0,1.0,1.0,179227.52,1.0 +715.0,France,Male,32.0,8.0,175307.32,1.0,1.0,0.0,187051.23,0.0 +745.0,Spain,Female,59.0,8.0,0.0,1.0,1.0,1.0,36124.98,0.0 +801.0,France,Male,43.0,4.0,158713.08,2.0,0.0,0.0,98586.14, +850.0,France,Female,39.0,0.0,104386.53,1.0,1.0,0.0,105886.77,1.0 +507.0,France,Male,42.0,6.0,0.0,2.0,1.0,0.0,34777.23,1.0 +563.0,France,Male,35.0,3.0,106250.72,1.0,0.0,0.0,39546.32,0.0 +772.0,France,Male,34.0,9.0,0.0,2.0,1.0,0.0,170980.86, +558.0,Germany,Male,58.0,2.0,142537.18,1.0,1.0,1.0,88791.83, +542.0,France,Male,29.0,9.0,0.0,1.0,1.0,0.0,8342.35,0.0 +484.0,France,Male,41.0,5.0,0.0,1.0,1.0,1.0,74267.35, +709.0,Germany,Male,22.0,0.0,112949.71,1.0,0.0,0.0,155231.55,0.0 +565.0,Germany,Male,33.0,8.0,130368.31,2.0,1.0,0.0,105642.43,0.0 +679.0,Germany,Male,39.0,2.0,146186.28,2.0,1.0,1.0,193974.47, +663.0,France,Male,67.0,9.0,0.0,3.0,1.0,1.0,72318.77, +765.0,Germany,Male,36.0,8.0,92310.54,2.0,1.0,1.0,72924.56,1.0 +725.0,Spain,Female,32.0,0.0,0.0,2.0,1.0,1.0,138525.19,0.0 +643.0,Germany,Male,25.0,4.0,115142.9,1.0,1.0,1.0,148098.95,1.0 +674.0,France,Male,45.0,7.0,144889.18,1.0,1.0,1.0,102591.9,0.0 +587.0,Germany,Male,40.0,5.0,138241.9,2.0,1.0,0.0,159418.1,0.0 +748.0,Spain,Male,60.0,3.0,0.0,2.0,1.0,1.0,78194.37,0.0 +642.0,France,Male,38.0,3.0,0.0,2.0,0.0,0.0,171463.83,1.0 +661.0,Germany,Female,32.0,1.0,145980.23,1.0,0.0,1.0,56636.28,1.0 +657.0,France,Male,33.0,1.0,84309.57,2.0,0.0,0.0,103914.4,1.0 +686.0,France,Female,39.0,3.0,111695.62,1.0,0.0,0.0,136643.84,1.0 +665.0,Germany,Male,32.0,1.0,132178.67,1.0,0.0,0.0,11865.76,0.0 +713.0,France,Male,43.0,5.0,86394.14,1.0,1.0,1.0,130001.13,0.0 +758.0,France,Female,33.0,7.0,0.0,1.0,1.0,0.0,188156.34,0.0 +611.0,Germany,Female,36.0,10.0,103294.56,1.0,1.0,0.0,160548.12,0.0 +685.0,France,Male,40.0,2.0,168001.34,2.0,1.0,1.0,167400.29, +677.0,Germany,Female,26.0,3.0,102395.79,1.0,1.0,0.0,119368.99,0.0 +582.0,France,Female,32.0,1.0,116409.55,1.0,0.0,1.0,152790.92,0.0 +690.0,France,Female,26.0,5.0,157624.84,1.0,1.0,1.0,49599.27,0.0 +519.0,France,Male,42.0,8.0,0.0,2.0,1.0,1.0,101485.72,1.0 +809.0,France,Male,24.0,7.0,109558.36,1.0,1.0,0.0,183515.13,0.0 +521.0,France,Male,37.0,5.0,105843.26,2.0,1.0,1.0,84908.2,0.0 +749.0,Germany,Male,22.0,4.0,94762.16,2.0,1.0,1.0,42241.54,0.0 +666.0,Germany,Male,74.0,7.0,105102.5,1.0,1.0,1.0,46172.47,0.0 +489.0,France,Male,34.0,5.0,0.0,1.0,0.0,0.0,43540.59,0.0 +804.0,Spain,Female,38.0,3.0,124197.22,1.0,1.0,0.0,74692.06, +516.0,Spain,Male,50.0,5.0,0.0,1.0,0.0,1.0,146145.93,0.0 +630.0,Spain,Male,35.0,1.0,0.0,2.0,0.0,0.0,186826.22,0.0 +664.0,Germany,Female,49.0,5.0,127421.78,2.0,1.0,0.0,108876.75, +692.0,France,Female,34.0,7.0,0.0,2.0,1.0,0.0,195074.62, +525.0,France,Male,35.0,7.0,165358.77,1.0,0.0,1.0,94738.54,0.0 +731.0,Spain,Female,39.0,2.0,0.0,2.0,1.0,0.0,136737.13, +645.0,France,Male,25.0,0.0,174400.36,1.0,1.0,0.0,42669.37, +741.0,Germany,Female,19.0,8.0,108711.57,2.0,1.0,0.0,24857.25, +616.0,France,Male,34.0,10.0,0.0,2.0,1.0,0.0,25662.27,0.0 +646.0,Germany,Male,39.0,0.0,154439.86,1.0,1.0,0.0,171519.06,0.0 +453.0,France,Male,29.0,6.0,0.0,1.0,0.0,0.0,198376.02,0.0 +753.0,France,Male,32.0,6.0,177729.13,1.0,1.0,1.0,161642.08, +673.0,France,Male,30.0,1.0,64097.75,1.0,1.0,1.0,77783.35,1.0 +850.0,Spain,Female,23.0,9.0,143054.85,1.0,0.0,1.0,62980.96,0.0 +662.0,France,Male,29.0,5.0,147092.65,1.0,1.0,0.0,10928.3,0.0 +601.0,Germany,Female,49.0,4.0,96252.98,2.0,1.0,0.0,104263.82, +669.0,Spain,Male,25.0,7.0,157228.61,2.0,1.0,0.0,124382.9,1.0 +660.0,France,Female,40.0,8.0,167181.01,1.0,1.0,1.0,185156.94,0.0 +627.0,Germany,Female,37.0,7.0,147361.57,1.0,1.0,1.0,133031.96,0.0 +658.0,France,Male,44.0,2.0,168396.34,1.0,1.0,1.0,14178.73,0.0 +579.0,France,Female,39.0,3.0,166501.17,2.0,1.0,0.0,93835.64,1.0 +704.0,Spain,Male,33.0,3.0,0.0,2.0,1.0,0.0,73018.74,0.0 +580.0,Spain,Male,32.0,9.0,142188.2,2.0,0.0,1.0,128028.6, +485.0,Spain,Male,32.0,6.0,102238.01,2.0,1.0,1.0,194010.12,0.0 +563.0,France,Female,32.0,0.0,148326.09,1.0,1.0,0.0,191604.27,0.0 +595.0,France,Male,46.0,10.0,0.0,1.0,1.0,0.0,73489.15,0.0 +479.0,Germany,Female,30.0,7.0,143964.36,2.0,1.0,0.0,41879.99,1.0 +692.0,Spain,Female,44.0,8.0,0.0,1.0,0.0,1.0,159069.37,0.0 +577.0,France,Female,35.0,10.0,0.0,2.0,1.0,1.0,25161.61,0.0 +562.0,France,Male,37.0,2.0,0.0,1.0,0.0,1.0,52525.15,0.0 +485.0,Germany,Female,30.0,5.0,156771.68,1.0,1.0,1.0,141148.21,1.0 +643.0,France,Female,33.0,0.0,137811.75,1.0,1.0,1.0,184856.89,0.0 +690.0,France,Female,35.0,9.0,107944.33,2.0,0.0,0.0,48478.47, +724.0,Germany,Female,48.0,6.0,110463.25,2.0,1.0,1.0,80552.11,0.0 +761.0,Spain,Female,32.0,4.0,103515.39,2.0,1.0,1.0,177622.38, +631.0,Spain,Male,29.0,3.0,0.0,2.0,1.0,1.0,197963.46,1.0 +560.0,France,Female,44.0,5.0,143244.97,1.0,1.0,0.0,98661.27, +701.0,Spain,Male,28.0,1.0,103421.32,1.0,0.0,1.0,76304.73,0.0 +800.0,France,Female,40.0,3.0,75893.11,2.0,1.0,0.0,132562.23, +566.0,France,Male,34.0,3.0,0.0,1.0,0.0,0.0,188135.69,0.0 +516.0,France,Female,46.0,6.0,62212.29,1.0,0.0,1.0,171681.86, +706.0,Spain,Female,42.0,8.0,95386.82,1.0,1.0,1.0,75732.25,0.0 +850.0,Germany,Male,38.0,7.0,101985.81,2.0,0.0,0.0,43801.27,0.0 +740.0,France,Female,37.0,7.0,0.0,2.0,1.0,1.0,194270.91,0.0 +565.0,Germany,Female,38.0,2.0,158651.29,2.0,1.0,1.0,179445.28,0.0 +678.0,Germany,Female,37.0,8.0,149000.91,2.0,1.0,1.0,21472.42, +692.0,Germany,Male,45.0,6.0,152296.83,4.0,0.0,1.0,108040.86,0.0 +696.0,Spain,Female,51.0,5.0,0.0,2.0,1.0,0.0,55022.43,1.0 +682.0,France,Male,42.0,0.0,0.0,1.0,1.0,1.0,160828.98,0.0 +807.0,Germany,Male,47.0,1.0,171937.27,1.0,1.0,1.0,65636.92,0.0 +435.0,France,Male,36.0,4.0,0.0,1.0,1.0,1.0,197015.2,0.0 +563.0,France,Male,22.0,3.0,137583.04,1.0,0.0,1.0,5791.85,0.0 +523.0,France,Male,36.0,8.0,158351.02,2.0,1.0,0.0,155304.53, +786.0,Spain,Female,39.0,7.0,0.0,2.0,0.0,0.0,100929.59, +702.0,Spain,Female,38.0,9.0,0.0,2.0,1.0,1.0,158527.45, +658.0,Spain,Male,35.0,9.0,71829.34,1.0,1.0,1.0,68141.92, +668.0,France,Male,46.0,0.0,0.0,2.0,0.0,0.0,29388.02,0.0 +579.0,France,Female,33.0,1.0,118392.75,1.0,1.0,1.0,157564.75,0.0 +739.0,Spain,Female,40.0,8.0,0.0,1.0,1.0,0.0,167030.51, +835.0,Germany,Female,29.0,10.0,130420.2,2.0,0.0,0.0,106276.55,1.0 +649.0,Germany,Female,50.0,5.0,155393.32,1.0,1.0,1.0,87351.42,0.0 +572.0,Germany,Male,47.0,4.0,99353.42,1.0,1.0,0.0,196549.85,0.0 +661.0,France,Male,39.0,5.0,0.0,2.0,0.0,0.0,181461.46,0.0 +648.0,France,Female,19.0,1.0,0.0,2.0,0.0,1.0,22101.86,0.0 +527.0,France,Female,32.0,7.0,0.0,2.0,1.0,1.0,44099.75,0.0 +768.0,France,Female,40.0,8.0,0.0,2.0,0.0,1.0,69080.46, +487.0,France,Female,53.0,10.0,89550.85,1.0,0.0,1.0,90076.85,0.0 +655.0,Germany,Female,40.0,0.0,81954.6,1.0,1.0,1.0,198798.44,0.0 +804.0,France,Female,50.0,4.0,0.0,1.0,1.0,1.0,8546.87,0.0 +731.0,France,Male,37.0,8.0,0.0,2.0,1.0,1.0,170338.35, +706.0,Germany,Male,34.0,0.0,140641.26,2.0,1.0,1.0,77271.91, +583.0,Germany,Male,40.0,4.0,107041.3,1.0,1.0,1.0,5635.63,0.0 +710.0,Spain,Female,29.0,3.0,119670.18,1.0,1.0,0.0,188022.44,0.0 +659.0,Spain,Male,32.0,3.0,107594.11,2.0,1.0,1.0,102416.84,0.0 +682.0,Germany,Female,29.0,6.0,101012.77,1.0,0.0,0.0,32589.89,0.0 +680.0,France,Female,24.0,10.0,0.0,3.0,1.0,0.0,154971.63,0.0 +770.0,France,Male,31.0,3.0,155047.56,2.0,1.0,1.0,186064.34, +770.0,France,Female,33.0,6.0,0.0,2.0,1.0,1.0,126131.9, +561.0,France,Male,21.0,4.0,0.0,1.0,1.0,1.0,36942.35,0.0 +472.0,Spain,Female,28.0,4.0,0.0,2.0,1.0,0.0,1801.77,0.0 +635.0,Spain,Male,29.0,2.0,0.0,2.0,0.0,0.0,117173.8, +643.0,Spain,Male,43.0,1.0,0.0,2.0,1.0,1.0,145764.4,0.0 +567.0,France,Female,41.0,9.0,137891.35,1.0,1.0,0.0,142009.46, +640.0,Spain,Male,37.0,5.0,158024.38,1.0,1.0,0.0,81298.09,1.0 +510.0,France,Female,45.0,10.0,103821.47,2.0,0.0,1.0,77878.62,0.0 +807.0,Spain,Female,43.0,0.0,0.0,2.0,0.0,1.0,85523.24,0.0 +755.0,France,Male,42.0,2.0,119919.12,1.0,1.0,0.0,156868.21,0.0 +660.0,Germany,Male,39.0,9.0,134599.33,2.0,1.0,0.0,183095.87,0.0 +688.0,France,Male,29.0,1.0,0.0,2.0,1.0,0.0,154695.57, +809.0,Spain,Male,80.0,8.0,0.0,2.0,0.0,1.0,34164.05,0.0 +704.0,Spain,Female,24.0,2.0,0.0,1.0,1.0,0.0,35600.25,0.0 +850.0,Germany,Male,40.0,4.0,166082.15,2.0,0.0,1.0,44406.17,0.0 +651.0,France,Female,33.0,1.0,96834.78,1.0,1.0,0.0,108764.69, +632.0,France,Male,43.0,2.0,100013.51,1.0,1.0,0.0,24275.32,1.0 +661.0,France,Male,47.0,5.0,0.0,1.0,0.0,1.0,107243.31,0.0 +709.0,France,Male,37.0,7.0,0.0,1.0,1.0,0.0,159486.76,0.0 +572.0,Germany,Male,39.0,4.0,112290.22,1.0,1.0,0.0,49373.97,1.0 +845.0,Germany,Female,43.0,3.0,152063.59,2.0,1.0,0.0,97910.06, +651.0,France,Male,45.0,1.0,0.0,1.0,1.0,0.0,67740.08,0.0 +540.0,Spain,Female,40.0,8.0,0.0,2.0,1.0,0.0,3560.0, +789.0,Germany,Female,43.0,9.0,116644.29,2.0,1.0,1.0,60176.1,0.0 +530.0,Germany,Male,33.0,9.0,75242.28,1.0,0.0,1.0,101694.67,0.0 +551.0,Spain,Male,32.0,4.0,0.0,2.0,1.0,0.0,53420.53,0.0 +616.0,Spain,Male,30.0,5.0,0.0,2.0,0.0,1.0,196108.51,0.0 +663.0,France,Female,42.0,5.0,124626.07,1.0,1.0,1.0,78004.5,0.0 +820.0,Spain,Female,31.0,2.0,94222.53,1.0,1.0,0.0,103570.8,1.0 +633.0,France,Male,59.0,2.0,103996.74,1.0,1.0,1.0,103159.11,1.0 +516.0,Germany,Male,32.0,3.0,145166.09,2.0,0.0,0.0,111421.45,0.0 +670.0,Spain,Female,40.0,3.0,0.0,1.0,1.0,1.0,182650.15,0.0 +758.0,Spain,Male,61.0,2.0,0.0,2.0,1.0,1.0,43982.41, +624.0,Spain,Female,34.0,6.0,0.0,1.0,1.0,0.0,582.59, +639.0,France,Female,31.0,3.0,98360.03,1.0,0.0,0.0,20973.8, +754.0,France,Male,61.0,5.0,146622.35,1.0,1.0,1.0,41815.22,0.0 +577.0,Spain,Male,48.0,6.0,179852.26,1.0,1.0,0.0,193580.32,0.0 +705.0,France,Male,33.0,3.0,144427.96,2.0,1.0,0.0,113845.19,0.0 +556.0,Spain,Male,38.0,8.0,0.0,2.0,0.0,0.0,417.41,1.0 +520.0,France,Male,30.0,3.0,143396.54,2.0,1.0,1.0,898.51,0.0 +813.0,France,Male,32.0,1.0,122889.88,1.0,1.0,1.0,26476.18,0.0 +615.0,France,Male,35.0,7.0,0.0,2.0,1.0,0.0,150784.29,0.0 +838.0,Spain,Male,43.0,9.0,123105.88,2.0,1.0,0.0,145765.83,0.0 +694.0,Spain,Male,57.0,8.0,116326.07,1.0,1.0,1.0,117704.65,0.0 +667.0,Spain,Male,35.0,4.0,97585.32,2.0,0.0,0.0,57213.46,0.0 +607.0,France,Male,44.0,0.0,0.0,2.0,1.0,1.0,81140.09,0.0 +619.0,Germany,Male,40.0,9.0,103604.31,2.0,0.0,0.0,140947.05,0.0 +807.0,France,Male,42.0,7.0,118274.71,1.0,1.0,1.0,25885.72,0.0 +723.0,France,Male,42.0,2.0,99095.73,1.0,1.0,1.0,17512.53,0.0 +705.0,Germany,Male,41.0,4.0,72252.64,2.0,1.0,1.0,142514.66,0.0 +686.0,Spain,Female,35.0,4.0,0.0,2.0,1.0,1.0,159676.55,1.0 +655.0,France,Male,37.0,5.0,93147.0,2.0,1.0,0.0,66214.13,0.0 +641.0,France,Male,37.0,6.0,0.0,2.0,1.0,0.0,45309.24, +660.0,Germany,Male,26.0,4.0,115021.76,1.0,0.0,1.0,162443.05,0.0 +524.0,Germany,Female,31.0,10.0,67238.98,2.0,1.0,1.0,161811.23,0.0 +671.0,Germany,Male,36.0,2.0,116695.27,1.0,0.0,0.0,193201.86, +784.0,France,Male,38.0,5.0,136712.91,1.0,0.0,1.0,169920.92,0.0 +710.0,Germany,Male,43.0,2.0,140080.32,3.0,1.0,1.0,157908.19,1.0 +527.0,Germany,Male,58.0,3.0,137318.42,1.0,1.0,1.0,126144.96, +586.0,France,Male,33.0,9.0,0.0,1.0,1.0,0.0,6975.02,0.0 +535.0,France,Male,45.0,2.0,0.0,2.0,1.0,0.0,125658.28, +797.0,France,Male,29.0,1.0,0.0,1.0,0.0,1.0,149991.32,0.0 +653.0,France,Female,40.0,0.0,0.0,2.0,1.0,0.0,35795.85,0.0 +427.0,Germany,Male,42.0,1.0,75681.52,1.0,1.0,1.0,57098.0, +493.0,France,Male,54.0,3.0,167831.88,2.0,1.0,0.0,150159.95,0.0 +798.0,Germany,Female,38.0,4.0,129055.13,1.0,1.0,0.0,157147.59,0.0 +673.0,France,Female,40.0,5.0,137494.28,1.0,1.0,0.0,81753.92,0.0 +516.0,Spain,Female,31.0,7.0,0.0,1.0,1.0,0.0,47018.75,0.0 +624.0,France,Male,80.0,3.0,0.0,1.0,1.0,1.0,65801.44, +515.0,France,Female,37.0,0.0,196853.62,1.0,1.0,1.0,132770.11,1.0 +630.0,Germany,Female,34.0,9.0,106937.05,2.0,1.0,0.0,138275.01,0.0 +515.0,France,Male,33.0,2.0,0.0,2.0,1.0,1.0,136028.97,1.0 +518.0,France,Female,45.0,8.0,0.0,2.0,1.0,1.0,36193.07,0.0 +609.0,Germany,Male,31.0,9.0,103837.75,1.0,1.0,1.0,150218.11,0.0 +706.0,Germany,Female,44.0,2.0,185932.18,2.0,1.0,0.0,65413.41, +701.0,Spain,Female,42.0,5.0,0.0,2.0,0.0,0.0,24210.56,1.0 +641.0,France,Female,38.0,3.0,0.0,2.0,1.0,0.0,116466.19,0.0 +617.0,France,Male,25.0,1.0,102585.88,2.0,1.0,1.0,115387.4,1.0 +697.0,France,Female,33.0,1.0,87347.7,1.0,1.0,0.0,172524.51,1.0 +679.0,France,Female,43.0,4.0,0.0,3.0,1.0,0.0,115136.51,1.0 +477.0,France,Male,27.0,1.0,128554.98,1.0,1.0,1.0,133173.19,0.0 +612.0,France,Female,31.0,8.0,117989.76,1.0,1.0,1.0,54129.86,0.0 +565.0,Germany,Female,47.0,10.0,139756.12,1.0,1.0,0.0,165849.49, +735.0,Germany,Male,28.0,5.0,160454.15,2.0,0.0,1.0,114957.22, +775.0,Germany,Female,38.0,4.0,125212.65,2.0,1.0,1.0,15795.88,0.0 +596.0,Spain,Male,36.0,2.0,0.0,2.0,0.0,1.0,125557.95,0.0 +541.0,France,Female,32.0,4.0,0.0,1.0,1.0,1.0,114951.42,0.0 +655.0,France,Male,44.0,8.0,87471.63,1.0,0.0,1.0,188593.98,0.0 +617.0,Germany,Female,37.0,4.0,116471.43,2.0,1.0,0.0,175324.74,1.0 +633.0,France,Female,26.0,8.0,124281.84,1.0,1.0,1.0,60116.57, +684.0,Spain,Female,41.0,7.0,0.0,1.0,1.0,1.0,138394.37,0.0 +747.0,France,Female,25.0,4.0,0.0,2.0,0.0,1.0,42039.67,0.0 +718.0,France,Female,25.0,4.0,108691.95,1.0,1.0,0.0,63030.97,0.0 +802.0,Germany,Female,41.0,4.0,90757.64,2.0,0.0,1.0,169183.66,0.0 +502.0,Germany,Female,57.0,3.0,101465.31,1.0,1.0,0.0,43568.31,0.0 +613.0,Germany,Male,38.0,9.0,67111.65,1.0,1.0,0.0,78566.64,0.0 +615.0,France,Female,30.0,9.0,0.0,1.0,1.0,0.0,87347.82,0.0 +850.0,France,Male,36.0,1.0,104077.19,2.0,0.0,1.0,68594.0,0.0 +501.0,Germany,Male,40.0,5.0,114655.58,1.0,0.0,0.0,126535.92,1.0 +583.0,France,Female,57.0,3.0,238387.56,1.0,0.0,1.0,147964.99,0.0 +712.0,France,Male,34.0,8.0,114088.32,1.0,1.0,0.0,92794.61,0.0 +779.0,Germany,Female,37.0,2.0,128389.63,1.0,1.0,1.0,6589.16,0.0 +554.0,France,Female,38.0,4.0,137654.05,2.0,1.0,1.0,172629.67,1.0 +614.0,France,Female,41.0,8.0,121558.46,1.0,1.0,1.0,598.8,0.0 +671.0,Germany,Female,31.0,6.0,105864.6,2.0,1.0,0.0,145567.34, +542.0,Spain,Male,35.0,2.0,174894.53,1.0,1.0,1.0,22314.55, +694.0,France,Female,38.0,5.0,195926.39,1.0,1.0,1.0,85522.84, +684.0,Germany,Female,63.0,3.0,81245.79,1.0,1.0,0.0,69643.31,0.0 +550.0,Germany,Male,52.0,5.0,121016.23,1.0,1.0,1.0,41730.37,0.0 +550.0,France,Male,37.0,3.0,0.0,1.0,1.0,1.0,179670.31,0.0 +537.0,Germany,Female,41.0,3.0,138306.34,1.0,1.0,0.0,106761.47,0.0 +640.0,France,Female,42.0,5.0,176099.13,1.0,1.0,1.0,8404.73,0.0 +676.0,France,Male,29.0,4.0,140720.93,1.0,1.0,0.0,36221.18,0.0 +508.0,France,Female,41.0,5.0,0.0,2.0,1.0,1.0,94170.84, +527.0,France,Female,31.0,1.0,112203.25,1.0,1.0,0.0,182266.01,0.0 +572.0,France,Female,38.0,7.0,0.0,2.0,1.0,1.0,133122.62,0.0 +607.0,France,Male,35.0,2.0,0.0,2.0,1.0,1.0,114190.3,0.0 +501.0,Germany,Male,27.0,4.0,95331.83,2.0,1.0,0.0,132104.76,1.0 +602.0,France,Male,49.0,0.0,191808.73,1.0,0.0,0.0,97640.2,0.0 +557.0,Germany,Female,38.0,2.0,129893.56,1.0,0.0,0.0,102076.03, +458.0,Germany,Male,35.0,9.0,146780.52,2.0,1.0,1.0,3476.38,0.0 +684.0,Germany,Male,32.0,3.0,102630.13,2.0,1.0,1.0,127433.47,0.0 +498.0,France,Female,31.0,10.0,0.0,2.0,1.0,0.0,13892.57,1.0 +850.0,Spain,Female,53.0,7.0,65407.16,2.0,0.0,0.0,182633.63,0.0 +723.0,Germany,Female,47.0,10.0,90450.0,2.0,0.0,0.0,103379.31,0.0 +660.0,France,Male,30.0,7.0,146301.31,1.0,0.0,0.0,96847.91,0.0 +750.0,Germany,Female,37.0,1.0,133199.71,2.0,1.0,1.0,27366.77,0.0 +634.0,Germany,Male,35.0,6.0,116269.01,1.0,1.0,0.0,129964.94,1.0 +812.0,Germany,Male,33.0,2.0,127154.14,2.0,0.0,1.0,105383.49,1.0 +725.0,Germany,Female,33.0,7.0,115182.84,2.0,1.0,1.0,177279.41,0.0 +502.0,France,Male,33.0,7.0,0.0,2.0,0.0,1.0,4082.52,0.0 +567.0,France,Male,54.0,9.0,96402.96,1.0,0.0,0.0,52035.29, +511.0,Spain,Female,40.0,1.0,0.0,1.0,1.0,1.0,184118.73,0.0 +599.0,Spain,Female,46.0,7.0,81742.84,2.0,1.0,0.0,83282.21,0.0 +707.0,France,Male,73.0,6.0,66573.17,1.0,1.0,1.0,62768.8,0.0 +592.0,Spain,Male,38.0,0.0,0.0,1.0,1.0,0.0,65986.48,1.0 +581.0,France,Male,54.0,4.0,89299.81,1.0,0.0,0.0,5558.47,0.0 +703.0,France,Female,33.0,8.0,190566.65,1.0,1.0,1.0,79997.14,0.0 +726.0,Germany,Male,30.0,5.0,111375.32,2.0,1.0,0.0,2704.09,0.0 +680.0,Spain,Female,37.0,6.0,124140.57,2.0,1.0,0.0,92826.35,0.0 +685.0,France,Female,40.0,7.0,0.0,2.0,1.0,0.0,103898.59, +716.0,France,Female,40.0,3.0,0.0,2.0,0.0,1.0,167636.15,0.0 +682.0,Spain,Female,59.0,0.0,122661.39,1.0,0.0,1.0,84803.76,1.0 +762.0,Spain,Male,35.0,9.0,122929.42,2.0,0.0,0.0,149822.04,0.0 +622.0,France,Female,30.0,2.0,158584.82,3.0,1.0,0.0,142342.55,0.0 +508.0,France,Male,35.0,1.0,86893.28,1.0,0.0,0.0,59374.82, +658.0,France,Male,39.0,7.0,0.0,2.0,1.0,0.0,48378.4,1.0 +598.0,France,Female,40.0,9.0,0.0,1.0,1.0,0.0,68462.59,1.0 +604.0,Germany,Female,42.0,10.0,166031.45,1.0,1.0,0.0,98293.14,0.0 +625.0,France,Male,36.0,9.0,108546.16,3.0,1.0,0.0,133807.77,0.0 +667.0,France,Female,24.0,4.0,0.0,2.0,0.0,1.0,34335.55,0.0 +815.0,France,Female,56.0,3.0,0.0,3.0,1.0,1.0,94248.16,1.0 +729.0,Spain,Female,38.0,10.0,0.0,2.0,1.0,0.0,189727.12, +416.0,Spain,Male,35.0,8.0,0.0,1.0,0.0,0.0,119712.78, +848.0,Spain,Male,35.0,5.0,120046.74,2.0,1.0,0.0,84710.65,1.0 +714.0,France,Male,28.0,6.0,122724.37,1.0,1.0,1.0,67057.27,1.0 +660.0,France,Male,19.0,5.0,127649.64,1.0,1.0,1.0,40368.65,0.0 +540.0,Germany,Male,44.0,3.0,164113.04,2.0,1.0,1.0,12120.79,0.0 +706.0,Spain,Female,29.0,1.0,209490.21,1.0,1.0,1.0,133267.69, +697.0,Germany,Male,29.0,0.0,172693.54,1.0,0.0,0.0,141798.98,0.0 +617.0,France,Male,30.0,3.0,132005.77,1.0,1.0,0.0,142940.39,0.0 +660.0,France,Female,20.0,6.0,167685.56,1.0,1.0,0.0,57929.9,1.0 +784.0,Spain,Male,38.0,10.0,122267.85,1.0,0.0,0.0,145759.93,1.0 +657.0,Spain,Female,41.0,6.0,112119.48,1.0,1.0,0.0,17536.82,1.0 +809.0,Spain,Female,33.0,3.0,0.0,2.0,0.0,1.0,141426.78,1.0 +548.0,Germany,Male,32.0,5.0,175214.71,1.0,1.0,1.0,155165.61,0.0 +589.0,France,Male,46.0,9.0,0.0,2.0,1.0,0.0,170676.67,0.0 +567.0,France,Male,59.0,3.0,0.0,2.0,1.0,0.0,25843.7,0.0 +799.0,Spain,Female,28.0,3.0,142253.65,1.0,1.0,0.0,45042.56,0.0 +803.0,Germany,Male,34.0,4.0,142929.16,2.0,1.0,1.0,114869.56, +758.0,France,Female,42.0,7.0,0.0,2.0,0.0,1.0,76209.56,0.0 +745.0,Germany,Male,45.0,10.0,117231.63,3.0,1.0,1.0,122381.02,0.0 +647.0,Spain,Female,26.0,8.0,109958.15,1.0,1.0,1.0,136592.24,0.0 +752.0,Germany,Female,42.0,3.0,65046.08,2.0,0.0,1.0,140139.28,0.0 +651.0,Spain,Female,45.0,10.0,135923.16,1.0,1.0,0.0,18732.84,0.0 +694.0,France,Male,34.0,5.0,127900.03,1.0,1.0,0.0,101737.8,0.0 +564.0,France,Female,27.0,6.0,0.0,1.0,0.0,0.0,7819.76,0.0 +473.0,Germany,Female,35.0,7.0,131504.73,1.0,1.0,0.0,189560.43,0.0 +662.0,France,Female,37.0,5.0,0.0,2.0,1.0,0.0,151871.84,1.0 +693.0,France,Male,37.0,1.0,0.0,2.0,1.0,1.0,82867.55,0.0 +570.0,Germany,Male,42.0,0.0,107856.57,2.0,1.0,0.0,127528.84,1.0 +764.0,France,Male,30.0,5.0,0.0,2.0,0.0,1.0,105155.66, +688.0,Germany,Female,46.0,0.0,74458.25,1.0,0.0,1.0,6866.31,0.0 +615.0,Germany,Male,58.0,3.0,72309.3,1.0,1.0,1.0,85687.09, +623.0,France,Male,48.0,5.0,118469.38,1.0,1.0,1.0,158590.25, +654.0,Germany,Female,32.0,1.0,114510.85,1.0,1.0,1.0,126143.23,0.0 +612.0,Spain,Female,52.0,5.0,144772.69,1.0,0.0,0.0,98302.57, +777.0,France,Female,30.0,4.0,0.0,2.0,0.0,1.0,115611.97,0.0 +525.0,Germany,Male,33.0,4.0,131023.76,2.0,0.0,0.0,55072.93,0.0 +681.0,France,Male,32.0,3.0,148884.47,2.0,1.0,1.0,90967.37,1.0 +455.0,Germany,Female,37.0,6.0,170057.62,1.0,0.0,1.0,54398.56,0.0 +631.0,Spain,Female,41.0,0.0,0.0,1.0,0.0,0.0,87959.83,1.0 +532.0,Germany,Male,24.0,8.0,142755.25,1.0,0.0,0.0,34231.48,0.0 +795.0,Germany,Male,38.0,7.0,125903.22,2.0,1.0,1.0,127068.92,0.0 +663.0,France,Female,39.0,8.0,0.0,2.0,1.0,1.0,101168.9,1.0 +808.0,Germany,Male,39.0,3.0,124216.93,1.0,0.0,1.0,171442.36, +600.0,France,Female,28.0,6.0,0.0,2.0,0.0,1.0,52193.23,0.0 +568.0,Germany,Male,26.0,1.0,112930.28,2.0,1.0,0.0,22095.73, +779.0,Spain,Female,34.0,5.0,0.0,2.0,0.0,1.0,111676.63,0.0 +599.0,Spain,Male,35.0,6.0,137102.65,1.0,0.0,0.0,76870.81,1.0 +668.0,Spain,Male,34.0,0.0,0.0,1.0,0.0,0.0,99984.86,0.0 +648.0,Spain,Male,46.0,9.0,127209.0,2.0,1.0,0.0,77405.95,0.0 +685.0,Germany,Male,57.0,7.0,101868.51,1.0,0.0,1.0,113483.96,0.0 +557.0,France,Female,27.0,3.0,87739.08,1.0,1.0,1.0,123096.56,0.0 +608.0,Germany,Female,30.0,2.0,91057.37,2.0,1.0,0.0,132973.17,0.0 +637.0,France,Female,38.0,3.0,104339.56,1.0,0.0,0.0,119882.86,0.0 +613.0,France,Male,44.0,3.0,0.0,2.0,0.0,1.0,136491.72,1.0 +729.0,Spain,Male,37.0,10.0,0.0,2.0,1.0,0.0,100862.54,1.0 +813.0,Germany,Male,59.0,2.0,135078.41,1.0,1.0,0.0,187636.06, +601.0,Germany,Male,35.0,8.0,71553.83,1.0,1.0,0.0,177384.45,0.0 +554.0,Spain,Female,46.0,7.0,87603.35,3.0,0.0,1.0,96929.24,1.0 +554.0,France,Male,33.0,3.0,117413.95,1.0,1.0,1.0,12766.74, +598.0,Germany,Female,46.0,7.0,131769.04,1.0,0.0,0.0,184980.23,0.0 +578.0,France,Male,50.0,5.0,151215.34,2.0,1.0,0.0,169804.4,0.0 +796.0,Spain,Male,41.0,8.0,107525.07,1.0,1.0,0.0,18510.41,0.0 +592.0,France,Female,62.0,5.0,0.0,1.0,1.0,1.0,100941.57,0.0 +621.0,Spain,Male,34.0,8.0,0.0,1.0,0.0,0.0,47972.65,0.0 +850.0,Germany,Female,40.0,7.0,104449.8,1.0,1.0,1.0,747.88,0.0 +659.0,Germany,Male,36.0,4.0,132578.92,2.0,1.0,0.0,84320.94,1.0 +535.0,France,Female,38.0,0.0,135919.33,1.0,1.0,0.0,80425.65, +794.0,Spain,Female,28.0,5.0,0.0,2.0,0.0,1.0,86699.98,0.0 +610.0,Germany,Male,36.0,7.0,115462.02,1.0,0.0,1.0,42581.04, +663.0,France,Female,37.0,7.0,0.0,1.0,1.0,1.0,185210.63,0.0 +672.0,Germany,Male,40.0,4.0,89025.88,2.0,1.0,0.0,188892.19, +648.0,Germany,Male,44.0,9.0,111369.79,2.0,1.0,1.0,91947.74,0.0 +585.0,France,Male,36.0,7.0,0.0,2.0,1.0,0.0,94283.09,1.0 +529.0,Spain,Male,35.0,5.0,0.0,2.0,1.0,1.0,187288.5,0.0 +760.0,France,Male,39.0,6.0,178585.46,1.0,1.0,0.0,67131.3,1.0 +645.0,France,Male,31.0,7.0,161171.7,2.0,1.0,0.0,12599.94,0.0 +841.0,Germany,Male,32.0,2.0,117070.21,1.0,1.0,0.0,113482.2, +782.0,France,Male,36.0,5.0,81210.72,2.0,0.0,1.0,108003.38,0.0 +833.0,Germany,Male,59.0,1.0,130854.59,1.0,1.0,1.0,30722.52,1.0 +663.0,Germany,Male,32.0,8.0,130627.66,1.0,1.0,0.0,47161.25,1.0 +850.0,France,Male,35.0,9.0,102050.47,1.0,1.0,1.0,3769.71,1.0 +663.0,Germany,Male,32.0,3.0,108586.86,1.0,1.0,1.0,182355.21,0.0 +527.0,Germany,Female,28.0,2.0,123802.98,2.0,1.0,1.0,155846.69,0.0 +605.0,France,Female,64.0,2.0,129555.7,1.0,1.0,1.0,13601.79,0.0 +753.0,France,Female,43.0,5.0,0.0,2.0,1.0,0.0,109881.71,0.0 +789.0,France,Male,27.0,6.0,0.0,2.0,1.0,0.0,103603.65,0.0 +655.0,France,Female,50.0,10.0,0.0,4.0,1.0,0.0,179267.94,0.0 +581.0,Spain,Male,46.0,2.0,79385.21,2.0,0.0,0.0,188492.82,0.0 +766.0,Germany,Male,43.0,6.0,112088.04,2.0,1.0,1.0,36706.56,0.0 +562.0,France,Male,30.0,3.0,111099.79,2.0,0.0,0.0,140650.19,0.0 +702.0,Germany,Male,28.0,1.0,103033.83,1.0,1.0,1.0,40321.87,1.0 +579.0,Spain,Female,59.0,3.0,148021.12,1.0,1.0,1.0,74878.22,1.0 +464.0,Germany,Female,42.0,3.0,85679.25,1.0,1.0,1.0,164104.74,1.0 +710.0,Spain,Female,75.0,5.0,0.0,2.0,1.0,1.0,9376.89,0.0 +850.0,France,Female,40.0,0.0,0.0,2.0,1.0,0.0,1099.95,0.0 +684.0,France,Male,33.0,4.0,140700.61,1.0,1.0,0.0,103557.93,0.0 +677.0,Spain,Female,25.0,8.0,130866.19,1.0,1.0,0.0,42410.21,0.0 +515.0,France,Male,40.0,0.0,109542.29,1.0,1.0,1.0,166370.81,0.0 +753.0,France,Female,50.0,4.0,0.0,2.0,1.0,1.0,861.4,0.0 +850.0,Germany,Male,29.0,1.0,154640.41,1.0,1.0,1.0,164039.51,0.0 +554.0,France,Male,31.0,1.0,0.0,2.0,0.0,1.0,192660.55,0.0 +774.0,France,Female,36.0,9.0,114997.42,1.0,1.0,0.0,75304.09,0.0 +702.0,Germany,Female,36.0,2.0,105264.88,2.0,1.0,1.0,52909.87,0.0 +725.0,France,Male,37.0,6.0,124348.38,2.0,0.0,1.0,176984.34,0.0 +735.0,France,Male,41.0,7.0,179904.0,1.0,1.0,1.0,137180.95,0.0 +619.0,France,Male,27.0,1.0,154483.98,1.0,1.0,0.0,156394.74, +687.0,Spain,Male,35.0,8.0,100988.39,2.0,1.0,0.0,22247.27,0.0 +597.0,France,Male,28.0,2.0,0.0,3.0,1.0,1.0,78707.97,0.0 +797.0,Germany,Male,32.0,1.0,151922.94,1.0,1.0,0.0,8877.06, +687.0,Spain,Female,36.0,5.0,0.0,1.0,1.0,0.0,17696.22,0.0 +640.0,Germany,Female,43.0,9.0,94752.49,1.0,1.0,0.0,184006.36, +432.0,France,Male,42.0,9.0,152603.45,1.0,1.0,0.0,110265.24,1.0 +581.0,Spain,Female,29.0,8.0,0.0,2.0,1.0,0.0,46735.19,0.0 +562.0,Germany,Male,33.0,8.0,92659.2,2.0,1.0,0.0,1354.25,0.0 +625.0,Germany,Male,31.0,4.0,77743.01,2.0,1.0,0.0,75335.68,0.0 +517.0,Spain,Female,29.0,5.0,0.0,2.0,1.0,0.0,103402.88,0.0 +537.0,Germany,Female,46.0,5.0,100727.5,1.0,0.0,1.0,140857.76,0.0 +649.0,Spain,Male,29.0,2.0,45022.23,1.0,1.0,1.0,173495.77,0.0 +743.0,Spain,Female,36.0,8.0,92716.96,1.0,1.0,1.0,33693.78,1.0 +667.0,France,Male,44.0,2.0,122806.95,1.0,0.0,0.0,15120.86,0.0 +768.0,Germany,Male,49.0,1.0,133384.66,1.0,1.0,0.0,102397.22,0.0 +641.0,France,Male,57.0,5.0,0.0,2.0,1.0,1.0,122449.18, +672.0,Germany,Male,40.0,10.0,102980.44,1.0,1.0,0.0,1285.81,1.0 +555.0,Germany,Female,62.0,10.0,114822.64,1.0,0.0,1.0,8444.5,1.0 +667.0,Spain,Male,45.0,3.0,0.0,2.0,0.0,0.0,163655.01,0.0 +751.0,Germany,Female,37.0,0.0,151218.98,1.0,1.0,1.0,109309.29,0.0 +701.0,France,Female,43.0,2.0,160416.56,1.0,0.0,1.0,37266.43, +601.0,France,Female,37.0,5.0,0.0,1.0,0.0,0.0,20708.6,0.0 +701.0,Spain,Female,35.0,9.0,0.0,2.0,0.0,0.0,170996.86,0.0 +801.0,Spain,Male,42.0,4.0,141947.67,1.0,1.0,1.0,10598.29,0.0 +573.0,France,Female,30.0,6.0,0.0,2.0,1.0,0.0,66190.21,0.0 +528.0,Germany,Male,39.0,0.0,127631.62,1.0,0.0,1.0,22197.8,0.0 +737.0,Spain,Female,39.0,7.0,130051.66,2.0,0.0,0.0,55356.39,0.0 +726.0,Spain,Female,35.0,9.0,0.0,2.0,0.0,1.0,100556.98,0.0 +503.0,Germany,Male,42.0,9.0,153279.39,1.0,1.0,1.0,151336.96,0.0 +597.0,France,Female,53.0,4.0,88381.21,1.0,1.0,0.0,69384.71, +678.0,Spain,Male,29.0,6.0,0.0,2.0,1.0,0.0,64443.75, +607.0,France,Female,31.0,1.0,102523.88,1.0,1.0,1.0,166792.71,0.0 +621.0,Germany,Male,27.0,1.0,74298.43,1.0,1.0,1.0,52581.96,0.0 +601.0,France,Male,32.0,8.0,93012.89,1.0,1.0,0.0,86957.42,1.0 +506.0,Spain,Male,35.0,6.0,110046.93,2.0,1.0,0.0,26318.73,0.0 +849.0,Germany,Male,41.0,10.0,84622.13,1.0,1.0,1.0,198072.16,0.0 +573.0,Spain,Male,50.0,0.0,159304.07,1.0,0.0,1.0,155915.24,1.0 +593.0,France,Male,32.0,6.0,99162.29,1.0,1.0,0.0,128384.11, +776.0,Germany,Male,38.0,5.0,112281.7,1.0,0.0,1.0,89893.6,1.0 +658.0,Spain,Female,31.0,2.0,36566.96,1.0,1.0,0.0,103644.98,0.0 +552.0,Spain,Male,55.0,3.0,0.0,1.0,1.0,1.0,40333.94,0.0 +490.0,France,Female,40.0,1.0,0.0,1.0,1.0,1.0,49594.19,0.0 +650.0,France,Female,64.0,7.0,142028.36,1.0,1.0,0.0,32275.09,0.0 +642.0,France,Male,36.0,4.0,0.0,2.0,1.0,1.0,195224.91,0.0 +625.0,Germany,Female,39.0,10.0,129845.26,1.0,1.0,1.0,96444.88, +734.0,Germany,Female,30.0,7.0,123040.38,1.0,1.0,1.0,76503.06, +712.0,Spain,Female,39.0,5.0,163097.55,2.0,1.0,1.0,23702.42,0.0 +605.0,France,Female,51.0,3.0,136188.78,1.0,1.0,1.0,67110.59,0.0 +583.0,France,Female,27.0,4.0,0.0,3.0,1.0,0.0,163113.41,0.0 +744.0,France,Male,42.0,1.0,112419.92,1.0,1.0,1.0,83022.92, +633.0,Spain,Female,33.0,4.0,92855.02,1.0,1.0,1.0,159813.18, +645.0,Germany,Female,37.0,2.0,136925.09,2.0,0.0,1.0,153400.24,0.0 +693.0,France,Male,29.0,2.0,151352.74,1.0,0.0,0.0,197145.89,0.0 +689.0,France,Male,22.0,4.0,136444.25,1.0,1.0,0.0,51980.25,1.0 +620.0,France,Male,41.0,3.0,0.0,2.0,1.0,1.0,137309.06,0.0 +477.0,France,Male,47.0,9.0,144900.58,1.0,1.0,0.0,61315.37,1.0 +518.0,France,Male,42.0,7.0,151027.05,2.0,1.0,0.0,119377.36, +642.0,France,Male,32.0,3.0,0.0,2.0,1.0,1.0,88698.83,0.0 +707.0,France,Female,33.0,2.0,58036.33,1.0,1.0,1.0,83335.78,0.0 +674.0,Spain,Female,41.0,4.0,126605.14,1.0,1.0,1.0,166694.93,0.0 +622.0,France,Male,32.0,5.0,179305.09,1.0,1.0,1.0,149043.78,1.0 +476.0,France,Female,40.0,4.0,0.0,2.0,0.0,0.0,182547.04,0.0 +714.0,Germany,Male,26.0,3.0,119545.48,2.0,1.0,0.0,65482.94,0.0 +539.0,Spain,Female,39.0,6.0,62052.28,1.0,0.0,1.0,59755.14,0.0 +680.0,Spain,Female,30.0,3.0,0.0,1.0,1.0,0.0,160131.58,0.0 +715.0,France,Male,28.0,7.0,160376.61,1.0,0.0,0.0,196853.11,0.0 +492.0,France,Female,31.0,7.0,0.0,2.0,1.0,1.0,49463.44,0.0 +829.0,Spain,Female,26.0,8.0,101440.36,2.0,1.0,1.0,19324.5,0.0 +721.0,Spain,Male,33.0,5.0,0.0,2.0,0.0,1.0,117626.9,0.0 +700.0,Spain,Male,47.0,4.0,0.0,1.0,1.0,0.0,121798.52,0.0 +516.0,France,Female,37.0,8.0,113143.12,1.0,0.0,0.0,3363.36, +465.0,France,Male,41.0,9.0,117221.15,1.0,1.0,0.0,168280.95,1.0 +552.0,France,Female,41.0,9.0,124349.34,1.0,1.0,0.0,135635.25,0.0 +609.0,Spain,Male,61.0,1.0,0.0,1.0,1.0,0.0,22447.85,0.0 +645.0,France,Male,30.0,1.0,125739.26,1.0,1.0,1.0,193441.23,0.0 +786.0,France,Female,62.0,8.0,0.0,1.0,1.0,1.0,165702.64,0.0 +553.0,France,Male,38.0,3.0,99844.68,1.0,0.0,0.0,187915.7,0.0 +810.0,France,Female,51.0,5.0,0.0,2.0,0.0,1.0,184524.74,0.0 +523.0,Germany,Male,63.0,6.0,116227.27,1.0,1.0,1.0,119404.63,0.0 +744.0,France,Male,31.0,9.0,120718.28,1.0,1.0,1.0,58961.49,0.0 +671.0,France,Male,34.0,7.0,106603.74,2.0,1.0,1.0,26387.71,0.0 +487.0,Spain,Male,33.0,8.0,145729.71,1.0,1.0,0.0,41365.85,0.0 +692.0,France,Female,28.0,8.0,95059.02,2.0,1.0,0.0,44420.18,0.0 +727.0,France,Female,28.0,2.0,110997.76,1.0,1.0,0.0,101433.76, +670.0,Germany,Male,31.0,1.0,142631.54,2.0,1.0,1.0,175894.24,0.0 +726.0,France,Female,38.0,4.0,0.0,2.0,0.0,0.0,6787.48,0.0 +683.0,France,Female,26.0,7.0,0.0,2.0,1.0,0.0,86619.77, +523.0,France,Male,30.0,1.0,83181.29,1.0,1.0,1.0,138176.78,0.0 +660.0,France,Male,38.0,4.0,0.0,2.0,0.0,0.0,88080.43,1.0 +683.0,France,Female,38.0,5.0,127616.56,1.0,1.0,0.0,123846.07, +737.0,France,Female,33.0,4.0,0.0,2.0,1.0,0.0,115115.32, +732.0,France,Female,43.0,6.0,0.0,2.0,1.0,0.0,65731.53,1.0 +638.0,France,Female,32.0,0.0,0.0,2.0,1.0,0.0,160129.99,0.0 +492.0,Germany,Female,49.0,2.0,151249.45,2.0,1.0,1.0,167237.94, +635.0,Spain,Male,41.0,1.0,0.0,2.0,1.0,0.0,175611.5,0.0 +730.0,Spain,Male,26.0,6.0,0.0,2.0,1.0,1.0,185808.7,0.0 +670.0,Spain,Female,32.0,3.0,0.0,2.0,1.0,0.0,46175.7,0.0 +581.0,Germany,Male,41.0,2.0,127913.71,2.0,1.0,1.0,44205.95, +711.0,France,Male,52.0,5.0,0.0,1.0,1.0,1.0,159808.95,0.0 +710.0,France,Male,38.0,2.0,0.0,2.0,1.0,0.0,96.27,1.0 +415.0,Spain,Male,53.0,5.0,167259.44,1.0,1.0,1.0,22357.25,0.0 +777.0,France,Male,39.0,8.0,0.0,2.0,1.0,1.0,18613.52,1.0 +519.0,France,Female,38.0,7.0,125328.56,1.0,1.0,0.0,188225.67, +511.0,Germany,Female,41.0,8.0,153895.65,1.0,1.0,1.0,39087.42,0.0 +599.0,France,Female,41.0,2.0,91328.71,1.0,1.0,0.0,115724.78, +652.0,Spain,Male,37.0,7.0,0.0,2.0,1.0,0.0,68789.93,0.0 +449.0,France,Female,21.0,7.0,0.0,2.0,0.0,0.0,175743.92, +545.0,Germany,Male,37.0,9.0,95829.13,2.0,0.0,1.0,104936.88,0.0 +794.0,Germany,Female,54.0,1.0,75900.84,1.0,1.0,1.0,192154.66,0.0 +627.0,France,Male,43.0,8.0,71240.3,1.0,0.0,1.0,127734.16, +680.0,France,Female,32.0,5.0,0.0,1.0,1.0,1.0,150684.23, +663.0,France,Male,34.0,10.0,0.0,1.0,1.0,1.0,114083.73, +594.0,Spain,Female,49.0,2.0,126615.94,2.0,0.0,1.0,123214.74,0.0 +642.0,France,Male,25.0,7.0,0.0,2.0,1.0,0.0,102083.78,0.0 +543.0,Spain,Male,23.0,5.0,0.0,2.0,1.0,0.0,117832.39, +760.0,Spain,Female,41.0,6.0,0.0,2.0,0.0,0.0,101491.23,0.0 +479.0,France,Male,47.0,1.0,0.0,1.0,1.0,0.0,95270.83,0.0 +687.0,Spain,Female,44.0,7.0,0.0,3.0,1.0,0.0,155853.52,0.0 +503.0,France,Female,28.0,5.0,0.0,2.0,1.0,0.0,125918.17,0.0 +680.0,France,Male,34.0,3.0,143292.95,1.0,1.0,0.0,66526.01,0.0 +582.0,Spain,Male,25.0,9.0,148042.97,2.0,1.0,0.0,52341.15, +570.0,Germany,Male,38.0,1.0,127201.58,1.0,1.0,0.0,147168.28,0.0 +705.0,France,Male,25.0,0.0,97544.29,1.0,0.0,1.0,59887.15,1.0 +668.0,France,Male,38.0,10.0,86977.96,1.0,0.0,1.0,37094.75,0.0 +535.0,Spain,Male,35.0,8.0,118989.92,1.0,1.0,1.0,135536.72,0.0 +640.0,France,Female,50.0,9.0,117565.03,2.0,0.0,0.0,82559.77,0.0 +534.0,France,Male,29.0,7.0,174851.9,1.0,1.0,1.0,79178.31,0.0 +485.0,Germany,Male,34.0,3.0,133658.24,1.0,1.0,0.0,70209.83,0.0 +473.0,Germany,Female,32.0,5.0,146602.25,2.0,1.0,1.0,72946.95, +462.0,France,Male,27.0,4.0,176913.52,1.0,1.0,0.0,80587.27, +537.0,France,Male,37.0,6.0,0.0,1.0,1.0,1.0,17802.42, +542.0,Spain,Male,43.0,6.0,113567.94,1.0,1.0,0.0,89543.25,0.0 +732.0,Spain,Male,33.0,8.0,0.0,1.0,1.0,0.0,119882.7,0.0 +687.0,France,Male,34.0,5.0,128270.56,1.0,1.0,0.0,191092.62,0.0 +768.0,France,Female,36.0,5.0,180169.44,2.0,1.0,0.0,17348.56, +707.0,France,Female,42.0,10.0,0.0,2.0,1.0,1.0,152944.39,1.0 +497.0,Spain,Male,37.0,8.0,128650.11,2.0,1.0,1.0,163641.53,0.0 +716.0,Spain,Male,33.0,2.0,0.0,2.0,1.0,1.0,92916.53,0.0 +587.0,Spain,Male,48.0,1.0,0.0,2.0,1.0,1.0,8908.0,0.0 +806.0,Spain,Female,37.0,2.0,137794.18,2.0,0.0,1.0,75232.02,0.0 +650.0,Germany,Female,48.0,7.0,138232.24,1.0,1.0,0.0,57594.78, +721.0,France,Male,69.0,2.0,108424.19,1.0,1.0,1.0,178418.35,0.0 +725.0,Germany,Female,39.0,5.0,116803.8,1.0,1.0,0.0,124052.97,0.0 +492.0,France,Male,35.0,4.0,141359.37,2.0,1.0,0.0,39519.53,0.0 +603.0,France,Male,45.0,9.0,0.0,1.0,0.0,0.0,148516.79, +736.0,Germany,Female,25.0,9.0,81732.88,2.0,1.0,0.0,136497.28,0.0 +655.0,France,Female,37.0,7.0,111852.84,2.0,1.0,0.0,10511.13,0.0 +413.0,Germany,Male,39.0,1.0,130969.77,2.0,1.0,1.0,158891.79,0.0 +743.0,France,Male,36.0,4.0,0.0,2.0,1.0,1.0,190911.02,0.0 +796.0,France,Male,51.0,6.0,0.0,2.0,0.0,1.0,194733.28,1.0 +634.0,Germany,Male,24.0,8.0,103097.85,1.0,1.0,1.0,157577.29,0.0 +524.0,Germany,Female,37.0,9.0,127480.58,2.0,1.0,0.0,179634.69,0.0 +850.0,France,Female,34.0,4.0,71379.53,2.0,1.0,1.0,154000.99, +584.0,France,Male,28.0,10.0,0.0,2.0,1.0,0.0,19834.32,0.0 +576.0,Germany,Male,28.0,1.0,119336.29,2.0,0.0,1.0,58976.85,1.0 +744.0,Spain,Male,34.0,3.0,0.0,2.0,1.0,0.0,27244.35,1.0 +808.0,France,Male,41.0,0.0,0.0,1.0,1.0,1.0,79888.78, +647.0,France,Female,29.0,0.0,98263.46,2.0,1.0,0.0,164717.95,0.0 +563.0,France,Male,30.0,7.0,90727.79,1.0,1.0,0.0,122268.75,1.0 +499.0,Germany,Female,55.0,4.0,126817.65,2.0,1.0,0.0,123269.71,0.0 +661.0,Spain,Female,41.0,5.0,28082.95,1.0,1.0,0.0,69586.27,0.0 +446.0,Germany,Male,25.0,3.0,136202.78,1.0,1.0,0.0,176743.51,0.0 +651.0,Germany,Male,29.0,3.0,121890.06,1.0,1.0,0.0,54530.51, +582.0,France,Female,32.0,4.0,0.0,2.0,1.0,0.0,59668.81,0.0 +693.0,France,Male,38.0,7.0,198338.77,2.0,1.0,1.0,14278.18,0.0 +655.0,Germany,Male,37.0,9.0,121342.24,1.0,1.0,1.0,180241.44,0.0 +450.0,Spain,Male,25.0,9.0,74237.2,2.0,0.0,1.0,195463.35, +687.0,Germany,Female,27.0,9.0,152328.88,2.0,0.0,0.0,126494.82,0.0 +566.0,Spain,Male,32.0,10.0,147511.26,1.0,1.0,1.0,159891.03,1.0 +547.0,Germany,Male,32.0,8.0,155726.85,1.0,1.0,0.0,67789.99,0.0 +595.0,France,Male,29.0,6.0,150685.79,1.0,1.0,0.0,87771.06,1.0 +556.0,France,Male,36.0,7.0,154872.08,2.0,1.0,1.0,32044.64, +693.0,France,Female,39.0,4.0,0.0,2.0,0.0,1.0,142331.39,1.0 +668.0,Germany,Male,37.0,10.0,152958.29,2.0,1.0,1.0,159585.61,0.0 +785.0,Spain,Female,61.0,4.0,129855.72,2.0,1.0,0.0,170214.82,0.0 +742.0,France,Male,31.0,4.0,105239.1,1.0,1.0,1.0,19700.24,1.0 +704.0,France,Male,44.0,3.0,0.0,2.0,0.0,1.0,152884.85, +775.0,Germany,Female,77.0,6.0,135120.56,1.0,1.0,0.0,37836.64,0.0 +525.0,France,Male,51.0,10.0,0.0,3.0,1.0,0.0,171045.35, +627.0,France,Male,27.0,1.0,62092.9,1.0,1.0,1.0,105887.04, +850.0,France,Female,38.0,0.0,106831.69,1.0,0.0,1.0,148977.72,0.0 +525.0,France,Male,33.0,1.0,112833.35,1.0,0.0,1.0,175178.56,0.0 +741.0,France,Male,52.0,1.0,171236.3,2.0,0.0,0.0,21834.4, +755.0,France,Female,38.0,1.0,0.0,2.0,1.0,0.0,20734.81,0.0 +624.0,France,Male,51.0,10.0,123401.43,2.0,1.0,1.0,127825.25,0.0 +657.0,Spain,Male,67.0,5.0,119785.47,2.0,1.0,1.0,107534.32,0.0 +706.0,France,Female,44.0,4.0,129605.99,1.0,0.0,0.0,69865.49,0.0 +531.0,Spain,Female,42.0,6.0,75302.85,2.0,0.0,0.0,57034.35,0.0 +591.0,France,Female,31.0,7.0,0.0,2.0,0.0,1.0,48778.46,0.0 +729.0,France,Male,30.0,9.0,0.0,2.0,1.0,0.0,151869.35,0.0 +602.0,Spain,Male,37.0,3.0,107592.89,2.0,0.0,1.0,153122.73, +582.0,France,Male,31.0,2.0,0.0,2.0,1.0,1.0,33747.03,0.0 +602.0,France,Female,39.0,6.0,154121.32,2.0,1.0,0.0,176614.86,0.0 +850.0,Spain,Male,33.0,3.0,100476.46,2.0,1.0,1.0,136539.13,0.0 +651.0,Germany,Male,31.0,7.0,138008.06,2.0,1.0,0.0,129912.74,0.0 +673.0,Germany,Female,77.0,10.0,76510.52,2.0,0.0,1.0,59595.66,1.0 +599.0,France,Male,44.0,10.0,118577.24,1.0,1.0,1.0,31448.52,0.0 +645.0,Spain,Male,49.0,8.0,0.0,2.0,1.0,0.0,162012.6,0.0 +445.0,France,Male,31.0,7.0,145056.59,1.0,1.0,1.0,175893.53,1.0 +840.0,France,Female,43.0,7.0,0.0,2.0,1.0,0.0,90908.95,0.0 +604.0,France,Male,33.0,3.0,0.0,1.0,1.0,0.0,42171.13,1.0 +554.0,France,Female,26.0,7.0,92606.86,2.0,1.0,0.0,192709.69,0.0 +507.0,France,Female,35.0,2.0,0.0,2.0,1.0,0.0,97633.93,0.0 +600.0,France,Female,39.0,5.0,0.0,2.0,0.0,0.0,118272.07,0.0 +697.0,France,Female,34.0,2.0,126558.92,1.0,1.0,0.0,73334.43,0.0 +627.0,France,Male,37.0,2.0,125190.86,1.0,0.0,1.0,84584.69,1.0 +850.0,Spain,Male,35.0,7.0,110349.82,1.0,0.0,0.0,126355.8,0.0 +520.0,Germany,Male,43.0,3.0,150805.17,3.0,0.0,1.0,25333.03, +680.0,Germany,Male,32.0,7.0,175454.0,1.0,0.0,1.0,77349.92,1.0 +628.0,Spain,Female,33.0,3.0,0.0,1.0,1.0,1.0,188193.25,0.0 +546.0,France,Male,28.0,8.0,0.0,1.0,1.0,0.0,159254.29,0.0 +648.0,Spain,Male,36.0,8.0,146943.38,2.0,1.0,1.0,130041.45,0.0 +658.0,France,Female,35.0,5.0,126397.66,1.0,0.0,0.0,156361.58,0.0 +596.0,Spain,Male,29.0,2.0,0.0,2.0,1.0,1.0,1591.19, +578.0,France,Male,23.0,10.0,88980.32,1.0,1.0,1.0,125222.36,0.0 +452.0,France,Female,60.0,6.0,121730.49,1.0,1.0,1.0,142963.29,0.0 +610.0,Germany,Female,69.0,5.0,86038.21,3.0,0.0,0.0,192743.06, +631.0,Germany,Female,22.0,6.0,139129.92,1.0,1.0,1.0,63747.51,0.0 +575.0,France,Female,54.0,9.0,68332.96,1.0,1.0,1.0,144390.75,0.0 +663.0,France,Male,36.0,10.0,0.0,2.0,1.0,0.0,136349.55,0.0 +499.0,Germany,Female,44.0,6.0,77627.33,2.0,1.0,0.0,108222.68, +744.0,Germany,Male,38.0,6.0,73023.17,2.0,1.0,0.0,78770.86,0.0 +608.0,France,Male,42.0,10.0,163548.07,1.0,1.0,0.0,38866.85,0.0 +792.0,Spain,Male,25.0,8.0,142862.21,1.0,1.0,1.0,130639.01,1.0 +665.0,France,Female,23.0,9.0,143672.9,1.0,1.0,1.0,115147.33,0.0 +621.0,France,Male,34.0,6.0,0.0,2.0,1.0,1.0,99128.13,0.0 +778.0,Germany,Female,48.0,3.0,102290.56,2.0,1.0,0.0,182691.31, +588.0,Spain,Male,32.0,3.0,109109.33,1.0,0.0,1.0,4993.94,0.0 +710.0,Germany,Female,62.0,9.0,148214.36,1.0,1.0,0.0,48571.14, +594.0,France,Male,27.0,0.0,197041.8,1.0,0.0,0.0,151912.49,0.0 +584.0,France,Male,26.0,4.0,0.0,2.0,1.0,0.0,147600.54,0.0 +688.0,France,Male,52.0,1.0,0.0,2.0,1.0,1.0,172033.57,1.0 +735.0,France,Male,73.0,9.0,0.0,1.0,1.0,1.0,114283.33, +749.0,France,Female,35.0,3.0,0.0,3.0,1.0,1.0,132649.85,0.0 +502.0,France,Female,64.0,3.0,139663.37,1.0,0.0,1.0,100995.11,0.0 +721.0,France,Male,40.0,3.0,0.0,1.0,1.0,1.0,144874.67,1.0 +718.0,France,Male,52.0,8.0,79475.3,3.0,1.0,1.0,32421.32,0.0 +717.0,Germany,Female,64.0,10.0,98362.35,2.0,1.0,1.0,21630.21,0.0 +749.0,Spain,Male,34.0,2.0,0.0,1.0,0.0,0.0,174189.04, +683.0,Spain,Female,24.0,8.0,98567.1,1.0,1.0,0.0,187987.01,0.0 +850.0,Spain,Female,39.0,10.0,0.0,2.0,1.0,1.0,143030.09,0.0 +606.0,Germany,Female,32.0,1.0,106301.85,2.0,0.0,1.0,59061.25,1.0 +628.0,France,Male,69.0,5.0,0.0,2.0,1.0,1.0,181964.6,1.0 +568.0,Germany,Female,31.0,1.0,61592.14,2.0,1.0,1.0,61796.64,1.0 +710.0,France,Male,33.0,10.0,118327.17,2.0,1.0,1.0,192928.82,0.0 +621.0,Germany,Male,51.0,4.0,109978.83,1.0,0.0,0.0,177740.58,0.0 +651.0,France,Male,53.0,7.0,0.0,2.0,1.0,1.0,130132.41, +656.0,France,Male,30.0,3.0,0.0,2.0,0.0,1.0,17104.0,1.0 +430.0,Germany,Female,38.0,8.0,153058.64,1.0,1.0,0.0,99377.27, +698.0,France,Female,40.0,7.0,105061.74,3.0,1.0,0.0,107815.31,0.0 +759.0,Spain,Male,31.0,8.0,0.0,2.0,1.0,1.0,99086.74, +521.0,France,Male,30.0,2.0,107316.09,1.0,1.0,0.0,64299.82,1.0 +635.0,Spain,Female,32.0,8.0,0.0,2.0,1.0,1.0,19367.98,0.0 +745.0,Spain,Female,38.0,7.0,0.0,2.0,1.0,1.0,194230.82, +623.0,Spain,Female,50.0,2.0,87116.71,1.0,1.0,1.0,104382.11,0.0 +724.0,France,Female,28.0,5.0,0.0,1.0,1.0,0.0,59351.68, +528.0,Germany,Female,46.0,9.0,135555.66,1.0,1.0,0.0,133146.03,0.0 +758.0,France,Female,34.0,3.0,0.0,2.0,1.0,1.0,124226.16,0.0 +587.0,France,Male,33.0,8.0,148163.57,1.0,0.0,0.0,122925.4,0.0 +553.0,Germany,Male,35.0,2.0,158584.28,2.0,1.0,0.0,43640.16, +683.0,Spain,Male,41.0,0.0,148863.17,1.0,1.0,1.0,163911.32,0.0 +718.0,Germany,Male,43.0,5.0,132615.73,2.0,1.0,0.0,32999.1,1.0 +790.0,France,Female,33.0,10.0,135120.72,1.0,0.0,0.0,195204.99,1.0 +663.0,France,Male,35.0,9.0,0.0,2.0,1.0,1.0,195580.28,0.0 +654.0,France,Male,47.0,10.0,0.0,2.0,1.0,0.0,170481.98,0.0 +582.0,Germany,Male,35.0,8.0,121309.17,2.0,1.0,1.0,28750.67, +613.0,Germany,Male,28.0,7.0,76656.4,2.0,1.0,1.0,185483.24, +616.0,Spain,Female,36.0,6.0,0.0,1.0,1.0,1.0,12916.32,0.0 +658.0,France,Female,29.0,8.0,0.0,2.0,0.0,1.0,130461.09,1.0 +500.0,Germany,Male,44.0,9.0,160838.13,2.0,1.0,0.0,196261.64,1.0 +779.0,France,Male,27.0,1.0,0.0,2.0,1.0,1.0,190623.02,0.0 +611.0,Germany,Female,41.0,2.0,114206.84,1.0,1.0,0.0,164061.6,0.0 +754.0,Germany,Female,39.0,3.0,160761.41,1.0,1.0,1.0,24156.03,0.0 +721.0,France,Male,41.0,7.0,0.0,2.0,0.0,1.0,61018.85,0.0 +611.0,Spain,Female,28.0,3.0,96381.68,2.0,1.0,0.0,181419.29,1.0 +689.0,Germany,Female,40.0,4.0,78119.59,4.0,1.0,0.0,119259.34, +674.0,France,Male,46.0,2.0,174701.05,1.0,1.0,0.0,90189.72,0.0 +568.0,Germany,Male,46.0,8.0,150836.92,1.0,0.0,0.0,64516.8,0.0 +637.0,Germany,Male,49.0,2.0,108204.52,1.0,1.0,0.0,169037.84,1.0 +708.0,Spain,Female,35.0,8.0,122570.69,1.0,0.0,0.0,199005.88,0.0 +593.0,Spain,Male,32.0,10.0,158537.42,1.0,1.0,0.0,166850.57, +850.0,France,Male,31.0,6.0,67996.23,2.0,0.0,0.0,50129.87,0.0 +677.0,France,Female,24.0,0.0,148298.59,2.0,0.0,0.0,182913.95,0.0 +656.0,Spain,Male,32.0,5.0,136963.12,1.0,1.0,0.0,133814.28,0.0 +621.0,Germany,Female,55.0,7.0,131033.76,1.0,0.0,1.0,75685.59, +761.0,Spain,Male,37.0,7.0,132730.17,1.0,1.0,0.0,199293.01,1.0 +650.0,Germany,Male,26.0,4.0,214346.96,2.0,1.0,0.0,128815.33,0.0 +754.0,Spain,Female,19.0,9.0,0.0,1.0,1.0,0.0,189641.11,1.0 +655.0,France,Male,37.0,4.0,0.0,2.0,1.0,1.0,142415.97,0.0 +680.0,France,Female,37.0,10.0,123806.28,1.0,1.0,0.0,81776.84,0.0 +531.0,France,Female,37.0,1.0,0.0,1.0,1.0,0.0,4606.97,0.0 +550.0,France,Male,25.0,0.0,0.0,2.0,1.0,1.0,184221.11,0.0 +639.0,Germany,Male,38.0,5.0,130170.82,1.0,1.0,1.0,149599.62,0.0 +673.0,Spain,Female,32.0,0.0,0.0,1.0,1.0,1.0,72873.33,1.0 +603.0,France,Male,44.0,9.0,0.0,1.0,1.0,0.0,138328.24, +644.0,Spain,Female,46.0,6.0,12459.19,1.0,0.0,0.0,156787.34,0.0 +546.0,France,Male,24.0,8.0,156325.38,1.0,1.0,1.0,125381.02,0.0 +714.0,Germany,Female,49.0,5.0,140510.89,1.0,1.0,0.0,141914.94,0.0 +706.0,France,Female,35.0,8.0,178032.53,1.0,0.0,1.0,42181.68,1.0 +569.0,Germany,Male,35.0,2.0,109196.66,3.0,1.0,0.0,109393.19,0.0 +567.0,France,Female,45.0,4.0,0.0,2.0,0.0,1.0,121053.19,0.0 +614.0,France,Male,44.0,6.0,0.0,2.0,0.0,1.0,104930.46,1.0 +746.0,France,Male,24.0,3.0,137492.35,2.0,0.0,1.0,170142.09,1.0 +578.0,Germany,Male,37.0,1.0,135650.88,1.0,1.0,0.0,199428.19,0.0 +637.0,France,Male,40.0,2.0,133463.1,1.0,0.0,1.0,93165.34,0.0 +644.0,France,Male,33.0,2.0,0.0,1.0,1.0,0.0,96420.58,0.0 +732.0,Germany,Female,61.0,9.0,94867.18,2.0,1.0,1.0,157527.6,0.0 +637.0,Spain,Female,54.0,5.0,0.0,1.0,0.0,1.0,150836.98,0.0 +782.0,Spain,Male,52.0,4.0,0.0,1.0,1.0,1.0,52759.82,1.0 +566.0,France,Male,42.0,3.0,108010.78,1.0,1.0,1.0,157486.1,0.0 +565.0,France,Male,34.0,6.0,0.0,1.0,1.0,1.0,63173.64,1.0 +609.0,Spain,Male,53.0,10.0,0.0,1.0,1.0,1.0,154642.91,0.0 +715.0,France,Male,23.0,7.0,139224.92,2.0,1.0,0.0,65057.71,1.0 +635.0,Spain,Female,41.0,10.0,0.0,2.0,1.0,1.0,61994.2, +596.0,Spain,Female,54.0,0.0,78126.28,1.0,1.0,1.0,153482.91,0.0 +508.0,Germany,Female,41.0,5.0,82161.7,2.0,1.0,0.0,187776.49,0.0 +596.0,France,Male,33.0,8.0,0.0,1.0,1.0,0.0,121189.3,0.0 +622.0,France,Male,40.0,4.0,99799.76,2.0,1.0,0.0,197372.13,0.0 +501.0,France,Male,35.0,6.0,99760.84,1.0,1.0,1.0,13591.52, +520.0,France,Male,49.0,5.0,121197.64,1.0,1.0,0.0,72577.33, +685.0,Germany,Male,43.0,9.0,108589.47,2.0,0.0,1.0,194808.51,0.0 +791.0,France,Female,33.0,3.0,0.0,1.0,1.0,1.0,144413.92, +495.0,France,Female,40.0,1.0,140197.71,2.0,1.0,0.0,150720.39,1.0 +616.0,France,Female,37.0,6.0,0.0,2.0,1.0,0.0,86242.18,1.0 +585.0,Germany,Male,44.0,7.0,163867.86,1.0,1.0,1.0,112333.22, +844.0,France,Male,18.0,2.0,160980.03,1.0,0.0,0.0,145936.28,0.0 +698.0,Germany,Female,51.0,2.0,111018.98,1.0,1.0,0.0,86410.28,0.0 +481.0,France,Female,39.0,6.0,0.0,1.0,1.0,1.0,24677.54,0.0 +657.0,Spain,Female,37.0,0.0,163607.18,1.0,0.0,1.0,44203.55,0.0 +715.0,France,Male,35.0,2.0,141005.47,1.0,1.0,1.0,60407.93,0.0 +784.0,France,Male,31.0,7.0,0.0,2.0,1.0,1.0,143204.41,0.0 +714.0,Germany,Male,54.0,4.0,137986.58,2.0,0.0,1.0,51308.54, +538.0,Germany,Male,25.0,5.0,62482.95,1.0,1.0,1.0,102758.43,0.0 +719.0,Germany,Female,76.0,10.0,95052.29,1.0,1.0,0.0,176244.87, +850.0,Germany,Female,26.0,8.0,123126.29,1.0,1.0,0.0,74425.41, +756.0,France,Female,42.0,9.0,0.0,2.0,1.0,0.0,35673.42,0.0 +608.0,Germany,Female,40.0,7.0,96202.32,1.0,0.0,0.0,161154.85, +622.0,Germany,Female,34.0,7.0,98675.74,1.0,1.0,0.0,138906.85, +690.0,France,Male,54.0,5.0,0.0,1.0,1.0,0.0,12847.61,0.0 +567.0,France,Female,23.0,9.0,93522.2,1.0,0.0,1.0,81425.61,1.0 +633.0,France,Female,42.0,1.0,0.0,2.0,1.0,0.0,56865.62,1.0 +722.0,Spain,Female,29.0,9.0,0.0,2.0,1.0,1.0,142033.07,1.0 +627.0,Germany,Female,30.0,4.0,79871.02,2.0,1.0,0.0,129826.89,0.0 +555.0,France,Male,55.0,4.0,146798.81,1.0,1.0,1.0,74149.77,0.0 +499.0,France,Male,31.0,4.0,0.0,1.0,1.0,0.0,25950.49, +713.0,France,Male,53.0,6.0,115029.4,1.0,0.0,0.0,191521.32,0.0 +792.0,Germany,Female,29.0,4.0,107601.79,1.0,1.0,0.0,18922.18,1.0 +567.0,Spain,Female,45.0,1.0,157320.51,1.0,1.0,0.0,62193.92,1.0 +677.0,Spain,Male,18.0,8.0,134796.87,2.0,1.0,1.0,114858.9, +530.0,Spain,Female,22.0,7.0,0.0,2.0,1.0,0.0,104170.48,0.0 +521.0,France,Female,32.0,2.0,136555.01,2.0,1.0,1.0,129353.21,0.0 +489.0,Germany,Male,38.0,2.0,126444.08,2.0,1.0,1.0,82662.73,0.0 +712.0,France,Female,30.0,1.0,89571.59,1.0,1.0,1.0,177613.19,0.0 +636.0,Spain,Male,52.0,4.0,111284.53,1.0,0.0,1.0,32936.44,0.0 +725.0,Germany,Male,19.0,0.0,75888.2,1.0,0.0,0.0,45613.75,0.0 +639.0,France,Female,27.0,2.0,0.0,2.0,0.0,0.0,125244.18,0.0 +686.0,Germany,Female,38.0,2.0,93569.86,3.0,0.0,0.0,10137.34, +572.0,France,Male,43.0,2.0,140431.98,1.0,1.0,0.0,26450.57,1.0 +787.0,France,Male,51.0,0.0,58137.08,1.0,0.0,1.0,142538.31,0.0 +602.0,Germany,Female,43.0,2.0,113641.49,4.0,1.0,0.0,115116.35,0.0 +554.0,France,Female,39.0,10.0,0.0,2.0,1.0,1.0,18391.93,0.0 +616.0,France,Male,46.0,2.0,0.0,2.0,1.0,0.0,137136.46, +670.0,France,Female,45.0,5.0,47884.92,1.0,1.0,1.0,54340.24,0.0 +774.0,Spain,Female,43.0,1.0,110646.54,1.0,0.0,0.0,108804.28, +537.0,Spain,Female,38.0,6.0,141786.78,1.0,0.0,1.0,147797.54,0.0 +734.0,Spain,Male,39.0,6.0,0.0,1.0,1.0,1.0,95135.27,0.0 +623.0,France,Male,45.0,0.0,0.0,1.0,1.0,0.0,196533.72,0.0 +748.0,France,Male,32.0,5.0,154737.88,2.0,1.0,1.0,172638.13, +696.0,Germany,Male,42.0,7.0,162318.61,1.0,1.0,0.0,121061.89,1.0 +541.0,Germany,Male,40.0,7.0,95710.11,2.0,1.0,0.0,49063.42,0.0 +606.0,Germany,Male,36.0,5.0,190479.48,2.0,0.0,0.0,179351.89,0.0 +655.0,Spain,Female,28.0,3.0,113811.85,2.0,0.0,1.0,76844.23,0.0 +595.0,France,Female,39.0,9.0,136422.41,1.0,1.0,1.0,151757.81,0.0 +548.0,Germany,Female,36.0,2.0,108913.84,2.0,1.0,1.0,140460.01, +658.0,France,Female,43.0,7.0,140260.36,2.0,1.0,0.0,2748.72,0.0 +586.0,Spain,Male,42.0,6.0,0.0,2.0,1.0,1.0,123410.23,0.0 +773.0,Germany,Female,42.0,8.0,152324.66,2.0,1.0,0.0,171733.22,0.0 +850.0,France,Male,29.0,6.0,0.0,2.0,1.0,1.0,10672.54,0.0 +680.0,France,Male,44.0,7.0,108724.98,1.0,0.0,1.0,72330.46,0.0 +558.0,Spain,Female,31.0,7.0,0.0,2.0,1.0,0.0,166720.28,0.0 +603.0,Spain,Male,46.0,2.0,0.0,2.0,1.0,0.0,174478.54,1.0 +637.0,France,Male,60.0,3.0,0.0,2.0,1.0,1.0,70174.03,0.0 +591.0,Germany,Female,51.0,8.0,132508.3,1.0,1.0,1.0,161304.68,0.0 +742.0,France,Female,25.0,4.0,132116.13,2.0,1.0,0.0,129933.5,0.0 +511.0,Spain,Female,29.0,9.0,0.0,2.0,0.0,1.0,140676.98,0.0 +662.0,France,Female,32.0,4.0,133950.37,1.0,1.0,1.0,48725.68,1.0 +596.0,France,Male,36.0,2.0,0.0,2.0,1.0,1.0,12067.39,1.0 +703.0,France,Male,50.0,8.0,160139.59,2.0,1.0,1.0,79314.1,0.0 +505.0,France,Male,49.0,7.0,80001.23,1.0,0.0,0.0,135180.11,0.0 +589.0,France,Male,29.0,2.0,0.0,2.0,0.0,1.0,98320.27,0.0 +762.0,France,Female,44.0,7.0,159316.64,1.0,0.0,0.0,24780.13,0.0 +829.0,Germany,Male,36.0,4.0,81795.74,2.0,1.0,0.0,90106.94, +485.0,Spain,Female,30.0,7.0,0.0,1.0,1.0,0.0,107067.37,0.0 +445.0,France,Female,33.0,7.0,0.0,2.0,1.0,0.0,122625.68,0.0 +478.0,France,Female,38.0,4.0,171913.87,1.0,1.0,0.0,51820.87,0.0 +690.0,France,Female,40.0,9.0,77641.99,1.0,0.0,0.0,189051.59,0.0 +850.0,Spain,Female,57.0,8.0,126776.3,2.0,1.0,1.0,132298.49,0.0 +724.0,France,Male,29.0,4.0,0.0,1.0,1.0,0.0,8982.75, +556.0,Germany,Male,37.0,9.0,145018.64,2.0,1.0,0.0,90928.02,0.0 +624.0,Spain,Male,35.0,2.0,0.0,2.0,1.0,0.0,87310.59,1.0 +647.0,Spain,Male,47.0,10.0,99835.17,1.0,0.0,1.0,89103.05,0.0 +752.0,France,Male,49.0,2.0,78653.84,1.0,1.0,0.0,7698.6,0.0 +466.0,Germany,Female,56.0,2.0,111920.13,3.0,1.0,0.0,197634.11,0.0 +611.0,France,Male,58.0,8.0,0.0,2.0,0.0,1.0,107665.68,0.0 +530.0,Spain,Male,37.0,4.0,0.0,2.0,1.0,1.0,164844.37,0.0 +639.0,France,Male,66.0,0.0,0.0,2.0,0.0,1.0,42240.54, +581.0,France,Male,31.0,3.0,0.0,2.0,0.0,0.0,89040.61,0.0 +673.0,France,Male,47.0,1.0,0.0,2.0,0.0,0.0,108762.16,0.0 +557.0,France,Female,24.0,4.0,0.0,1.0,0.0,0.0,20515.72,0.0 +704.0,France,Female,40.0,6.0,95452.89,1.0,0.0,1.0,179964.55,0.0 +700.0,France,Male,38.0,9.0,65962.63,1.0,1.0,1.0,100950.48,0.0 +850.0,France,Female,40.0,9.0,99816.46,1.0,1.0,1.0,163989.66, +616.0,France,Male,37.0,5.0,144235.73,2.0,0.0,0.0,154957.66,1.0 +705.0,France,Female,35.0,5.0,0.0,1.0,1.0,0.0,133991.11,0.0 +802.0,Spain,Male,51.0,7.0,0.0,1.0,0.0,1.0,40855.79,1.0 +754.0,Germany,Male,65.0,1.0,136186.44,1.0,1.0,1.0,121529.59, +555.0,France,Female,27.0,8.0,102000.17,1.0,1.0,1.0,116757.0,1.0 +755.0,Germany,Female,30.0,6.0,154221.37,2.0,0.0,1.0,62688.55,1.0 +816.0,Germany,Female,40.0,9.0,109003.26,1.0,1.0,1.0,79580.56, +698.0,Spain,Female,47.0,6.0,0.0,1.0,1.0,0.0,50213.81,0.0 +656.0,France,Male,38.0,10.0,0.0,1.0,1.0,1.0,136521.82,0.0 +643.0,Spain,Male,48.0,8.0,0.0,2.0,1.0,0.0,174729.3, +449.0,Spain,Female,33.0,8.0,0.0,2.0,0.0,0.0,156792.89,0.0 +659.0,France,Male,32.0,9.0,95377.13,1.0,0.0,1.0,187551.24,0.0 +588.0,France,Female,27.0,8.0,0.0,1.0,1.0,0.0,20066.38,1.0 +595.0,France,Male,20.0,4.0,95830.43,1.0,1.0,0.0,177738.98, +499.0,France,Female,38.0,9.0,0.0,2.0,0.0,1.0,183042.2,1.0 +681.0,France,Male,59.0,4.0,122781.51,1.0,0.0,1.0,140166.95, +634.0,Germany,Male,27.0,3.0,107027.52,1.0,1.0,0.0,173425.68,0.0 +665.0,Germany,Female,27.0,2.0,147435.96,1.0,0.0,0.0,187508.06,0.0 +669.0,France,Male,50.0,4.0,149713.61,3.0,1.0,1.0,124872.42,0.0 +659.0,France,Male,20.0,8.0,0.0,2.0,0.0,0.0,112572.02,0.0 +678.0,France,Female,31.0,1.0,0.0,2.0,0.0,1.0,130446.65,0.0 +518.0,France,Female,38.0,10.0,84764.79,1.0,1.0,1.0,162253.9,0.0 +556.0,Spain,Female,48.0,8.0,168522.37,1.0,1.0,1.0,151310.16,0.0 +570.0,France,Female,33.0,8.0,0.0,1.0,1.0,1.0,124641.42,0.0 +752.0,Germany,Female,45.0,3.0,105426.5,2.0,0.0,1.0,89773.45,0.0 +704.0,Germany,Female,39.0,10.0,102556.18,2.0,1.0,0.0,171971.25,0.0 +531.0,France,Female,53.0,5.0,127642.44,1.0,1.0,0.0,141501.45,0.0 +650.0,Spain,Male,71.0,0.0,0.0,1.0,1.0,1.0,175380.77,0.0 +551.0,Germany,Male,50.0,1.0,121399.98,1.0,0.0,1.0,84508.44,0.0 +628.0,Spain,Male,28.0,4.0,0.0,2.0,1.0,1.0,176750.81, +605.0,France,Female,28.0,6.0,0.0,2.0,0.0,0.0,159508.52,1.0 +768.0,France,Male,54.0,8.0,69712.74,1.0,1.0,1.0,69381.05,0.0 +523.0,Germany,Male,60.0,1.0,163894.35,1.0,0.0,1.0,57061.71,1.0 +732.0,France,Female,40.0,10.0,0.0,2.0,1.0,0.0,154189.08,0.0 +528.0,Germany,Female,62.0,7.0,133201.17,1.0,0.0,0.0,168507.68,0.0 +835.0,France,Male,23.0,9.0,0.0,1.0,1.0,0.0,19793.73, +590.0,Spain,Female,37.0,0.0,64345.21,1.0,0.0,1.0,61759.33,0.0 +696.0,Spain,Male,28.0,8.0,0.0,1.0,0.0,0.0,176713.47,0.0 +492.0,Germany,Male,39.0,10.0,124576.65,2.0,1.0,0.0,148584.61,0.0 +415.0,France,Male,46.0,9.0,134950.19,3.0,0.0,0.0,178587.36,0.0 +731.0,France,Female,40.0,7.0,118991.79,1.0,1.0,1.0,156048.64,0.0 +730.0,France,Male,34.0,5.0,122453.37,2.0,1.0,0.0,138882.98,0.0 +694.0,France,Female,33.0,4.0,129731.64,2.0,1.0,0.0,178123.86,0.0 +629.0,Germany,Female,37.0,1.0,35549.81,2.0,0.0,0.0,49676.33, +802.0,France,Female,60.0,3.0,92887.06,1.0,1.0,0.0,39473.63, +623.0,Germany,Male,50.0,7.0,126608.37,1.0,0.0,1.0,645.61,0.0 +674.0,France,Male,26.0,6.0,166257.96,1.0,1.0,1.0,149369.41,0.0 +614.0,Spain,Female,41.0,7.0,179915.85,1.0,0.0,0.0,14666.35,0.0 +673.0,France,Male,72.0,1.0,0.0,2.0,0.0,1.0,111981.19,0.0 +645.0,France,Female,40.0,3.0,129596.77,1.0,1.0,1.0,103232.6,1.0 +581.0,Spain,Female,24.0,10.0,159203.71,1.0,1.0,1.0,102517.83,0.0 +554.0,Spain,Female,34.0,8.0,0.0,1.0,0.0,1.0,106981.03,1.0 +753.0,Germany,Male,30.0,1.0,110824.52,1.0,1.0,1.0,57896.27,0.0 +764.0,Spain,Female,33.0,9.0,168964.77,1.0,0.0,1.0,118982.51,1.0 +471.0,Spain,Female,28.0,5.0,0.0,2.0,1.0,1.0,22356.97, +739.0,Germany,Male,54.0,8.0,126418.14,1.0,1.0,0.0,134420.75,1.0 +756.0,France,Male,40.0,1.0,94773.11,1.0,1.0,0.0,114279.63, +507.0,Spain,Female,29.0,6.0,0.0,2.0,0.0,1.0,94780.9,0.0 +612.0,Germany,Male,30.0,9.0,142910.15,1.0,1.0,0.0,105890.55,0.0 +536.0,France,Female,35.0,8.0,0.0,1.0,1.0,0.0,171840.24,0.0 +793.0,France,Female,33.0,0.0,0.0,1.0,0.0,0.0,175544.02,1.0 +817.0,France,Male,44.0,8.0,0.0,1.0,0.0,0.0,65501.91,0.0 +786.0,Germany,Male,24.0,2.0,120135.55,2.0,1.0,1.0,125449.47,0.0 +694.0,France,Female,22.0,4.0,0.0,2.0,1.0,1.0,11525.72,0.0 +694.0,France,Male,40.0,9.0,0.0,2.0,1.0,0.0,40463.03,0.0 +785.0,France,Male,36.0,2.0,0.0,1.0,0.0,1.0,61811.1,0.0 +624.0,France,Female,71.0,4.0,170252.05,3.0,1.0,1.0,73679.59,0.0 +617.0,France,Female,35.0,5.0,0.0,2.0,0.0,1.0,13066.3, +663.0,Spain,Male,31.0,4.0,103430.11,2.0,0.0,1.0,36479.27,0.0 +435.0,Germany,Male,37.0,8.0,114346.3,1.0,0.0,1.0,980.93, +641.0,Germany,Male,35.0,2.0,103711.56,1.0,0.0,1.0,192464.21, +755.0,France,Male,29.0,9.0,117035.89,1.0,1.0,1.0,21862.19, +589.0,France,Male,28.0,7.0,0.0,2.0,1.0,0.0,151645.96,0.0 +711.0,Spain,Male,32.0,5.0,0.0,2.0,1.0,1.0,147720.27,0.0 +520.0,France,Male,35.0,9.0,105387.89,1.0,1.0,1.0,25059.06, +535.0,France,Female,45.0,2.0,0.0,2.0,0.0,1.0,170621.55,0.0 +663.0,Spain,Female,58.0,5.0,216109.88,1.0,0.0,1.0,74176.71,0.0 +486.0,Germany,Male,62.0,9.0,118356.89,2.0,1.0,0.0,168034.83, +512.0,France,Male,43.0,1.0,0.0,2.0,1.0,1.0,52471.36, +715.0,Spain,Male,31.0,7.0,0.0,1.0,1.0,1.0,149970.59,1.0 +653.0,France,Male,38.0,8.0,119315.75,1.0,1.0,0.0,150468.35,1.0 +543.0,Spain,Female,41.0,4.0,0.0,1.0,0.0,0.0,194902.16,1.0 +684.0,Spain,Female,39.0,4.0,139723.9,1.0,1.0,1.0,120612.11,0.0 +580.0,Germany,Female,42.0,2.0,123331.36,1.0,0.0,0.0,103516.08,1.0 +759.0,France,Female,46.0,2.0,0.0,1.0,1.0,1.0,138380.11,0.0 +678.0,Spain,Male,27.0,2.0,0.0,2.0,1.0,1.0,13221.25, +567.0,France,Male,36.0,1.0,0.0,2.0,0.0,0.0,8555.73,0.0 +780.0,Spain,Female,33.0,6.0,145580.61,1.0,1.0,1.0,154598.56,0.0 +783.0,Spain,Female,59.0,9.0,126224.87,1.0,1.0,1.0,4423.63,0.0 +824.0,Germany,Male,60.0,8.0,134250.17,3.0,0.0,0.0,153046.16,0.0 +461.0,France,Male,51.0,9.0,119889.84,1.0,0.0,0.0,56767.67,0.0 +644.0,France,Female,46.0,9.0,95441.27,1.0,1.0,0.0,108761.05,0.0 +675.0,France,Male,54.0,6.0,0.0,1.0,1.0,0.0,110273.84,1.0 +542.0,France,Male,39.0,3.0,135096.77,1.0,1.0,1.0,14353.43,1.0 +535.0,Spain,Male,58.0,1.0,0.0,2.0,1.0,1.0,11779.98, +619.0,Spain,Female,45.0,0.0,0.0,2.0,0.0,0.0,113645.4,0.0 +688.0,Germany,Female,40.0,8.0,150679.71,2.0,0.0,1.0,196226.38, +716.0,France,Female,44.0,3.0,109528.28,1.0,1.0,0.0,27341.63,0.0 +738.0,France,Male,33.0,4.0,92676.3,1.0,1.0,0.0,105817.63, +574.0,Spain,Female,37.0,7.0,0.0,2.0,1.0,0.0,32262.28,0.0 +640.0,Germany,Male,39.0,9.0,131607.28,4.0,0.0,1.0,6981.43,0.0 +608.0,Spain,Male,27.0,4.0,153325.1,1.0,1.0,1.0,199953.33,0.0 +696.0,France,Male,34.0,9.0,150856.79,1.0,0.0,1.0,8236.78,1.0 +477.0,Spain,Female,48.0,2.0,129120.64,1.0,0.0,1.0,26475.79,1.0 +761.0,Germany,Female,38.0,1.0,120530.13,2.0,1.0,0.0,109394.62,0.0 +763.0,Spain,Male,37.0,8.0,0.0,2.0,1.0,1.0,933.38, +721.0,France,Male,41.0,2.0,0.0,2.0,1.0,0.0,168219.75,0.0 +689.0,Germany,Male,47.0,2.0,118812.5,2.0,0.0,0.0,31121.42, +613.0,France,Female,45.0,1.0,187841.99,2.0,1.0,1.0,147224.27,0.0 +705.0,France,Female,50.0,4.0,77065.9,2.0,0.0,1.0,145159.26,0.0 +640.0,Spain,Female,34.0,3.0,77826.8,1.0,1.0,1.0,168544.85,0.0 +725.0,Germany,Male,45.0,8.0,116917.07,1.0,0.0,0.0,173464.43,0.0 +718.0,France,Male,27.0,2.0,0.0,2.0,0.0,0.0,26229.24,0.0 +543.0,Spain,Female,46.0,5.0,140355.6,1.0,1.0,1.0,85086.78,0.0 +570.0,France,Female,29.0,0.0,0.0,1.0,1.0,0.0,37092.43,1.0 +711.0,France,Male,36.0,9.0,137688.71,1.0,1.0,1.0,46884.1,0.0 +520.0,Germany,Female,45.0,1.0,123086.39,1.0,1.0,1.0,41042.4,0.0 +592.0,France,Female,37.0,7.0,0.0,2.0,1.0,1.0,126726.33,0.0 +484.0,Spain,Male,36.0,8.0,0.0,2.0,1.0,0.0,186136.48,0.0 +599.0,Germany,Male,45.0,10.0,103583.05,1.0,1.0,0.0,132127.69,0.0 +740.0,Germany,Male,40.0,4.0,114318.78,2.0,1.0,0.0,129333.69, +700.0,France,Female,37.0,7.0,0.0,2.0,1.0,0.0,17040.82,0.0 +773.0,France,Female,50.0,4.0,0.0,2.0,1.0,0.0,129372.94, +762.0,Spain,Female,19.0,6.0,0.0,2.0,1.0,0.0,55500.17,0.0 +585.0,Spain,Female,33.0,8.0,0.0,2.0,1.0,0.0,114182.07,0.0 +781.0,France,Female,42.0,3.0,156555.54,1.0,1.0,1.0,175674.01,0.0 +728.0,Germany,Female,33.0,9.0,150412.14,2.0,1.0,0.0,170764.08,0.0 +669.0,France,Male,50.0,9.0,201009.64,1.0,1.0,0.0,158032.5,1.0 +604.0,France,Female,32.0,7.0,127849.38,1.0,1.0,0.0,15798.7,0.0 +544.0,Spain,Male,37.0,2.0,0.0,2.0,0.0,0.0,135067.02,0.0 +739.0,Spain,Male,40.0,1.0,109681.61,1.0,1.0,1.0,193321.3,0.0 +807.0,Germany,Female,31.0,1.0,141069.18,3.0,1.0,1.0,194257.11,0.0 +616.0,Spain,Male,30.0,2.0,0.0,2.0,1.0,0.0,199099.51,0.0 +581.0,France,Male,38.0,1.0,0.0,2.0,1.0,0.0,46176.22,0.0 +714.0,Spain,Male,29.0,9.0,0.0,2.0,1.0,0.0,129192.55, +643.0,Germany,Female,45.0,2.0,150842.93,1.0,0.0,1.0,2319.96,0.0 +671.0,Spain,Female,34.0,10.0,0.0,1.0,1.0,0.0,23235.38,0.0 +631.0,France,Male,29.0,7.0,0.0,2.0,0.0,1.0,125877.22, +634.0,Germany,Male,43.0,3.0,212696.32,1.0,1.0,0.0,115268.86,0.0 +559.0,France,Male,50.0,5.0,162702.35,1.0,0.0,0.0,150548.5,1.0 +585.0,France,Female,32.0,8.0,144705.87,2.0,0.0,0.0,171482.56,0.0 +586.0,Spain,Female,28.0,2.0,0.0,2.0,1.0,1.0,92067.35,1.0 +850.0,France,Female,41.0,5.0,0.0,2.0,1.0,1.0,34827.43,0.0 +641.0,Germany,Female,51.0,2.0,117306.69,4.0,1.0,1.0,26912.72,0.0 +562.0,France,Male,35.0,7.0,0.0,1.0,0.0,0.0,48869.67,0.0 +646.0,France,Female,51.0,4.0,101629.3,1.0,0.0,0.0,130541.1,0.0 +597.0,France,Male,44.0,8.0,78128.13,2.0,0.0,1.0,109153.04,0.0 +422.0,France,Female,33.0,2.0,0.0,2.0,1.0,0.0,102655.31,0.0 +705.0,France,Female,31.0,3.0,119794.67,1.0,0.0,0.0,182528.44,0.0 +683.0,France,Female,42.0,4.0,148283.94,1.0,1.0,1.0,44692.63,0.0 +767.0,Spain,Male,47.0,2.0,0.0,1.0,1.0,0.0,48161.18,1.0 +555.0,Germany,Female,46.0,4.0,120392.99,1.0,1.0,0.0,177719.88,0.0 +611.0,France,Female,46.0,5.0,0.0,1.0,1.0,0.0,77677.14,1.0 +733.0,Germany,Male,34.0,3.0,100337.96,3.0,1.0,0.0,48559.19,0.0 +615.0,Germany,Male,24.0,8.0,108528.07,2.0,0.0,0.0,179488.41,0.0 +707.0,France,Male,33.0,8.0,136678.52,1.0,1.0,0.0,54290.62,0.0 +613.0,France,Female,24.0,7.0,140453.91,1.0,1.0,0.0,129001.3,0.0 +554.0,Spain,Male,66.0,8.0,0.0,2.0,1.0,1.0,116747.62,0.0 +781.0,France,Male,23.0,2.0,107433.48,1.0,1.0,0.0,173843.21,0.0 +669.0,Germany,Female,30.0,7.0,139872.81,1.0,1.0,0.0,188795.85,0.0 +628.0,France,Female,46.0,1.0,46870.43,4.0,1.0,0.0,31272.14,1.0 +812.0,Spain,Female,49.0,8.0,66079.45,2.0,0.0,0.0,91556.57,0.0 +807.0,France,Female,34.0,1.0,0.0,1.0,0.0,0.0,114448.13,0.0 +526.0,Spain,Male,30.0,8.0,0.0,1.0,1.0,0.0,36251.0,0.0 +625.0,France,Male,43.0,4.0,122351.29,1.0,1.0,0.0,71216.6,0.0 +521.0,Germany,Male,52.0,5.0,116497.31,3.0,0.0,0.0,53793.1,0.0 +729.0,Spain,Male,31.0,8.0,164870.81,2.0,1.0,1.0,9567.39,1.0 +790.0,Spain,Female,41.0,7.0,109508.68,1.0,0.0,0.0,86776.38,0.0 +678.0,Spain,Female,61.0,8.0,0.0,2.0,1.0,1.0,159938.82, +539.0,France,Male,39.0,3.0,0.0,2.0,1.0,0.0,36692.17,0.0 +832.0,Germany,Female,40.0,9.0,107648.94,2.0,1.0,1.0,134638.97,0.0 +650.0,Spain,Female,32.0,4.0,79450.09,1.0,1.0,1.0,118324.75, +472.0,France,Female,26.0,5.0,0.0,2.0,1.0,0.0,108411.66,0.0 +640.0,Germany,Male,33.0,8.0,81677.22,2.0,0.0,0.0,34925.56,0.0 +579.0,Spain,Male,33.0,6.0,0.0,1.0,1.0,0.0,94993.04,0.0 +545.0,Spain,Female,33.0,7.0,173331.52,1.0,1.0,0.0,150452.88,0.0 +532.0,Germany,Male,52.0,9.0,137755.76,1.0,1.0,0.0,163191.99,0.0 +834.0,Spain,Male,40.0,7.0,0.0,2.0,0.0,0.0,45038.74, +667.0,Germany,Male,43.0,1.0,103018.45,1.0,1.0,0.0,32462.39,0.0 +658.0,France,Female,40.0,5.0,143566.12,1.0,1.0,1.0,189607.71, +660.0,Germany,Female,39.0,5.0,135134.99,1.0,1.0,0.0,173683.0,0.0 +603.0,Germany,Male,46.0,4.0,98899.76,2.0,1.0,1.0,86190.34,0.0 +752.0,Spain,Male,44.0,6.0,83870.33,1.0,1.0,0.0,178722.24,0.0 +621.0,Germany,Female,31.0,8.0,100375.39,1.0,1.0,1.0,90384.26,0.0 +710.0,France,Male,54.0,6.0,171137.62,1.0,1.0,1.0,167023.95,1.0 +522.0,France,Female,41.0,7.0,0.0,2.0,0.0,1.0,176780.39, +532.0,Spain,Female,37.0,5.0,0.0,2.0,0.0,1.0,6761.84, +727.0,France,Male,52.0,4.0,0.0,2.0,1.0,1.0,118429.02, +634.0,Spain,Male,63.0,10.0,0.0,2.0,1.0,0.0,30772.86, +748.0,Germany,Female,27.0,2.0,90971.85,1.0,1.0,1.0,131662.47,1.0 +645.0,France,Female,38.0,7.0,59568.57,1.0,1.0,1.0,167723.25, +816.0,Spain,Male,67.0,6.0,151858.98,1.0,1.0,1.0,72814.31,0.0 +418.0,France,Male,34.0,8.0,155973.88,1.0,1.0,0.0,154208.96,0.0 +774.0,France,Female,26.0,5.0,0.0,2.0,1.0,1.0,64716.08, +640.0,France,Female,20.0,4.0,0.0,2.0,0.0,1.0,78310.82,0.0 +569.0,France,Male,43.0,7.0,0.0,2.0,1.0,0.0,52534.81, +602.0,Spain,Female,22.0,7.0,141604.76,1.0,1.0,0.0,30379.6,0.0 +703.0,France,Female,42.0,7.0,0.0,2.0,0.0,1.0,72500.68,0.0 +721.0,France,Male,54.0,5.0,0.0,2.0,1.0,1.0,4493.12,0.0 +365.0,Germany,Male,30.0,0.0,127760.07,1.0,1.0,0.0,81537.85,1.0 +527.0,Spain,Male,33.0,9.0,132168.28,1.0,0.0,0.0,98734.15,0.0 +701.0,France,Male,41.0,10.0,0.0,2.0,1.0,1.0,146257.77,0.0 +535.0,Germany,Male,48.0,5.0,134542.73,1.0,1.0,1.0,58203.67,0.0 +438.0,Spain,Female,54.0,2.0,0.0,1.0,0.0,0.0,191763.07,0.0 +694.0,France,Male,38.0,1.0,0.0,2.0,0.0,1.0,156858.2,0.0 +844.0,France,Female,41.0,10.0,76319.64,1.0,1.0,1.0,141175.18,0.0 +675.0,France,Female,38.0,1.0,104016.88,1.0,0.0,0.0,22068.83, +530.0,Spain,Male,44.0,6.0,0.0,2.0,0.0,0.0,55893.37,0.0 +620.0,France,Male,32.0,6.0,0.0,2.0,1.0,0.0,56139.09,0.0 +620.0,Germany,Female,34.0,8.0,102251.57,1.0,1.0,0.0,120672.09,0.0 +644.0,France,Male,33.0,9.0,141234.98,1.0,1.0,0.0,95673.05,0.0 +662.0,France,Female,22.0,2.0,126362.57,2.0,1.0,1.0,97382.8,0.0 +574.0,France,Male,34.0,1.0,112572.39,1.0,0.0,0.0,165626.6, +689.0,Germany,Female,28.0,2.0,64808.32,2.0,0.0,0.0,78591.15,0.0 +679.0,Germany,Female,30.0,4.0,77949.69,1.0,1.0,1.0,121151.46,1.0 +586.0,Germany,Female,56.0,9.0,100781.75,2.0,1.0,1.0,54448.41, +682.0,France,Male,44.0,3.0,115282.3,1.0,0.0,0.0,23766.4, +673.0,Germany,Male,36.0,5.0,73088.06,2.0,0.0,0.0,196142.26,0.0 +509.0,France,Male,30.0,6.0,0.0,2.0,1.0,0.0,180598.86,0.0 +698.0,France,Female,39.0,4.0,0.0,2.0,0.0,1.0,47455.82, +512.0,France,Female,41.0,6.0,0.0,1.0,1.0,1.0,100507.81, +652.0,France,Male,31.0,2.0,119148.55,1.0,0.0,0.0,149740.22, +645.0,Germany,Male,49.0,4.0,160133.88,1.0,0.0,1.0,88391.97, +536.0,France,Male,35.0,8.0,0.0,2.0,1.0,0.0,64833.28,0.0 +648.0,Spain,Male,35.0,7.0,0.0,2.0,1.0,1.0,78436.36,0.0 +658.0,France,Female,32.0,9.0,0.0,2.0,1.0,0.0,156774.75,0.0 +831.0,France,Female,34.0,2.0,0.0,2.0,0.0,0.0,165840.94,0.0 +557.0,Spain,Male,36.0,1.0,113110.26,1.0,1.0,0.0,98413.1, +662.0,France,Male,64.0,0.0,98848.19,1.0,0.0,1.0,42730.12,0.0 +644.0,Germany,Female,44.0,8.0,106022.73,2.0,0.0,0.0,148727.42,0.0 +629.0,Germany,Male,40.0,2.0,121647.54,2.0,1.0,1.0,64849.74,0.0 +659.0,France,Male,35.0,6.0,0.0,2.0,1.0,1.0,58879.11, +536.0,Spain,Male,53.0,2.0,143923.96,1.0,1.0,0.0,2019.78,1.0 +629.0,France,Male,32.0,2.0,0.0,2.0,0.0,1.0,77965.44,0.0 +798.0,Germany,Female,39.0,6.0,119787.76,1.0,1.0,1.0,164248.33, +644.0,Germany,Female,32.0,8.0,141528.88,1.0,1.0,1.0,167087.34,0.0 +552.0,France,Male,49.0,4.0,0.0,1.0,1.0,1.0,190296.76,0.0 +753.0,Germany,Female,38.0,9.0,151766.71,1.0,1.0,1.0,180829.99,0.0 +624.0,France,Male,26.0,9.0,74681.9,2.0,0.0,0.0,31231.35,0.0 +540.0,Germany,Male,35.0,7.0,127801.88,1.0,0.0,1.0,84239.46,1.0 +597.0,Spain,Female,66.0,3.0,0.0,1.0,1.0,1.0,70532.53,0.0 +617.0,Spain,Male,34.0,9.0,0.0,2.0,1.0,0.0,118749.58, +686.0,France,Female,34.0,1.0,0.0,2.0,1.0,0.0,87278.48,0.0 +651.0,Germany,Male,41.0,1.0,90218.11,1.0,1.0,0.0,174337.68,1.0 +779.0,France,Female,42.0,5.0,0.0,2.0,0.0,0.0,25951.91,0.0 +543.0,Spain,Male,35.0,10.0,59408.63,1.0,1.0,0.0,76773.53,0.0 +699.0,Spain,Male,40.0,2.0,0.0,1.0,1.0,0.0,78387.32,0.0 +726.0,Spain,Female,27.0,7.0,123826.07,1.0,0.0,1.0,78970.58,0.0 +768.0,Spain,Female,44.0,6.0,60603.4,1.0,1.0,1.0,178045.97,0.0 +738.0,Germany,Male,62.0,10.0,83008.31,1.0,1.0,1.0,42766.03,0.0 +633.0,France,Male,35.0,10.0,0.0,2.0,1.0,0.0,65675.47,0.0 +633.0,France,Female,37.0,9.0,156091.97,1.0,1.0,0.0,72008.61,0.0 +607.0,France,Female,32.0,6.0,0.0,2.0,0.0,0.0,196062.01,0.0 +610.0,France,Female,27.0,4.0,87262.4,2.0,1.0,0.0,182720.07,0.0 +629.0,France,Male,31.0,6.0,0.0,2.0,1.0,0.0,93881.75,0.0 +673.0,Spain,Male,43.0,8.0,127132.96,1.0,0.0,1.0,6009.27, +667.0,Germany,Female,27.0,3.0,106116.5,2.0,1.0,0.0,3674.71,0.0 +627.0,France,Female,44.0,5.0,0.0,2.0,1.0,0.0,82969.61,0.0 +706.0,France,Male,30.0,3.0,98415.37,1.0,1.0,1.0,110520.48,0.0 +820.0,France,Male,36.0,4.0,0.0,2.0,1.0,0.0,31422.69,0.0 +350.0,France,Male,51.0,10.0,0.0,1.0,1.0,1.0,125823.79, +792.0,France,Male,34.0,1.0,0.0,1.0,0.0,1.0,86330.32,0.0 +736.0,France,Male,54.0,7.0,111729.47,2.0,0.0,1.0,84920.49, +755.0,France,Male,31.0,5.0,0.0,2.0,0.0,1.0,194660.78,0.0 +468.0,France,Male,36.0,3.0,61636.97,1.0,0.0,0.0,107787.42,0.0 +680.0,France,Male,37.0,4.0,0.0,2.0,1.0,0.0,61240.87,0.0 +684.0,Spain,Male,56.0,8.0,78707.16,1.0,1.0,1.0,99398.36,1.0 +756.0,Germany,Male,44.0,10.0,137452.09,1.0,1.0,0.0,189543.9,1.0 +803.0,France,Female,65.0,2.0,151659.52,2.0,0.0,1.0,6930.17,0.0 +664.0,France,Male,36.0,1.0,0.0,2.0,1.0,1.0,95372.64, +556.0,France,Female,30.0,7.0,0.0,2.0,1.0,1.0,186648.19, +735.0,France,Male,55.0,6.0,134140.68,1.0,1.0,0.0,2267.88,0.0 +584.0,Spain,Male,32.0,5.0,0.0,2.0,1.0,0.0,10956.82,0.0 +776.0,Germany,Female,37.0,1.0,93124.04,2.0,1.0,1.0,196079.32,0.0 +682.0,Spain,Female,47.0,10.0,134032.01,1.0,1.0,0.0,144290.97,0.0 +645.0,France,Female,24.0,3.0,34547.82,1.0,1.0,1.0,11638.17,0.0 +825.0,Germany,Male,37.0,6.0,118050.79,1.0,0.0,1.0,52301.15,0.0 +451.0,Germany,Female,38.0,9.0,61482.47,1.0,1.0,1.0,167538.66,0.0 +733.0,Spain,Female,31.0,9.0,102289.85,1.0,1.0,1.0,115441.66,0.0 +648.0,Germany,Male,41.0,5.0,123049.21,1.0,0.0,1.0,5066.76,1.0 +526.0,Spain,Male,66.0,7.0,132044.6,2.0,1.0,1.0,158365.89,1.0 +718.0,France,Male,33.0,7.0,102874.28,1.0,0.0,0.0,117841.06, +825.0,Germany,Female,35.0,6.0,118336.95,1.0,1.0,0.0,26342.33, +599.0,Spain,Male,34.0,2.0,101506.66,1.0,0.0,0.0,198030.24,0.0 +850.0,France,Male,19.0,8.0,0.0,1.0,1.0,1.0,68569.89,1.0 +584.0,Germany,Female,46.0,6.0,87361.02,2.0,1.0,0.0,120376.87,0.0 +468.0,France,Male,46.0,7.0,91443.75,1.0,1.0,0.0,10958.18,0.0 +795.0,Germany,Male,37.0,2.0,139265.63,2.0,1.0,1.0,198745.94,0.0 +732.0,France,Female,36.0,9.0,0.0,1.0,0.0,0.0,3749.0, +512.0,Germany,Male,42.0,9.0,93955.83,2.0,1.0,0.0,14828.54,0.0 +622.0,France,Female,38.0,4.0,98640.74,1.0,1.0,1.0,110457.99,0.0 +762.0,France,Male,20.0,1.0,139432.55,1.0,1.0,1.0,85606.83, +596.0,Spain,Male,20.0,3.0,187294.46,1.0,1.0,0.0,103456.47,0.0 +733.0,Germany,Male,48.0,7.0,85915.52,1.0,1.0,1.0,23860.5, +577.0,Spain,Male,51.0,2.0,108867.0,1.0,0.0,0.0,140800.66, +479.0,France,Male,40.0,1.0,0.0,2.0,0.0,0.0,114996.43,0.0 +431.0,France,Male,37.0,0.0,120764.08,1.0,1.0,1.0,117023.08,0.0 +812.0,France,Male,34.0,5.0,103818.43,1.0,1.0,1.0,166038.27,0.0 +803.0,France,Male,31.0,9.0,157120.86,2.0,1.0,0.0,141300.53,0.0 +603.0,France,Male,31.0,8.0,0.0,2.0,1.0,1.0,169915.02,0.0 +850.0,France,Male,38.0,5.0,0.0,2.0,1.0,0.0,16491.64,0.0 +640.0,Spain,Male,43.0,9.0,172478.15,1.0,1.0,0.0,191084.4,0.0 +739.0,France,Female,27.0,6.0,0.0,1.0,1.0,1.0,57572.38,1.0 +713.0,France,Female,59.0,3.0,0.0,2.0,1.0,1.0,62700.08,0.0 +850.0,Spain,Female,32.0,5.0,0.0,1.0,1.0,1.0,3830.59, +850.0,Germany,Male,38.0,5.0,146756.68,1.0,1.0,0.0,78268.61, +561.0,France,Female,22.0,6.0,186788.96,2.0,1.0,0.0,73286.8, +573.0,France,Female,47.0,8.0,154543.98,1.0,1.0,0.0,29586.73, +655.0,Germany,Female,46.0,7.0,137145.12,1.0,1.0,0.0,115146.4, +591.0,Spain,Male,30.0,8.0,124857.69,2.0,0.0,0.0,50485.7,0.0 +850.0,France,Female,47.0,9.0,137301.87,1.0,1.0,0.0,44351.77, +629.0,France,Male,59.0,9.0,113657.83,1.0,1.0,1.0,116848.79,0.0 +763.0,Germany,Female,32.0,1.0,108465.65,2.0,1.0,0.0,60552.44, +700.0,Spain,Male,54.0,1.0,79415.67,1.0,0.0,1.0,139735.54,0.0 +500.0,Spain,Female,47.0,8.0,128486.11,1.0,1.0,0.0,179227.12,0.0 +749.0,France,Female,26.0,6.0,0.0,2.0,0.0,1.0,34948.77,0.0 +626.0,France,Female,52.0,0.0,0.0,2.0,1.0,0.0,32159.46, +743.0,Spain,Female,48.0,5.0,118207.69,2.0,0.0,0.0,186489.14,0.0 +479.0,Spain,Male,48.0,5.0,87070.23,1.0,0.0,1.0,85646.41,0.0 +671.0,Germany,Female,44.0,0.0,84745.03,2.0,0.0,1.0,34673.98,1.0 +566.0,France,Female,21.0,3.0,0.0,2.0,1.0,1.0,3626.47,0.0 +609.0,France,Female,39.0,8.0,141675.23,1.0,0.0,1.0,175664.25,0.0 +683.0,France,Female,29.0,9.0,0.0,2.0,1.0,1.0,48849.89,1.0 +698.0,France,Male,36.0,2.0,82275.35,2.0,1.0,1.0,93249.26,0.0 +651.0,France,Male,23.0,10.0,0.0,2.0,1.0,1.0,170099.23, +759.0,France,Male,40.0,4.0,0.0,2.0,1.0,0.0,124615.59,0.0 +749.0,Spain,Female,46.0,9.0,66582.81,1.0,1.0,0.0,78753.12,1.0 +633.0,Spain,Female,39.0,2.0,0.0,2.0,0.0,0.0,191207.03,0.0 +559.0,France,Female,46.0,5.0,0.0,1.0,1.0,0.0,21006.1,0.0 +687.0,France,Male,48.0,4.0,0.0,2.0,1.0,1.0,170893.85,0.0 +637.0,France,Female,44.0,2.0,0.0,2.0,1.0,0.0,149665.65, +762.0,France,Male,32.0,10.0,191775.65,1.0,1.0,0.0,179657.83,1.0 +626.0,Germany,Female,23.0,6.0,85897.95,1.0,1.0,0.0,109742.8,0.0 +702.0,Spain,Female,35.0,8.0,14262.8,2.0,1.0,0.0,54689.16,0.0 +638.0,France,Male,34.0,5.0,133501.36,1.0,0.0,1.0,155643.04,1.0 +666.0,Germany,Female,59.0,8.0,152614.51,2.0,1.0,1.0,188782.3,1.0 +761.0,Germany,Male,62.0,5.0,98854.34,1.0,0.0,0.0,86920.97, +720.0,Germany,Female,29.0,7.0,106230.92,1.0,1.0,1.0,69903.93, +644.0,France,Female,24.0,8.0,92760.55,1.0,1.0,0.0,35896.75,0.0 +489.0,Germany,Female,46.0,8.0,92060.06,1.0,1.0,0.0,147222.95,1.0 +771.0,Spain,Female,41.0,5.0,0.0,2.0,0.0,1.0,92914.67,0.0 +481.0,France,Male,37.0,8.0,152303.66,2.0,1.0,1.0,175082.2, +536.0,Spain,Female,28.0,4.0,0.0,1.0,1.0,1.0,136197.65,1.0 +639.0,France,Female,38.0,5.0,0.0,2.0,0.0,0.0,93716.38,0.0 +660.0,Spain,Male,33.0,4.0,0.0,1.0,1.0,0.0,29664.45,0.0 +479.0,Spain,Male,35.0,4.0,125920.98,1.0,1.0,1.0,20393.44, +589.0,France,Female,50.0,4.0,0.0,2.0,0.0,1.0,182076.97,0.0 +448.0,Spain,Male,25.0,2.0,0.0,2.0,0.0,0.0,95215.73,1.0 +561.0,France,Female,31.0,1.0,81480.27,2.0,1.0,1.0,65234.6, +834.0,Spain,Male,33.0,5.0,0.0,2.0,1.0,0.0,66285.18, +712.0,Spain,Male,74.0,5.0,0.0,2.0,0.0,0.0,151425.82,0.0 +578.0,France,Male,30.0,4.0,169462.09,1.0,1.0,0.0,112187.11,0.0 +660.0,France,Male,40.0,5.0,131754.11,2.0,1.0,1.0,38761.61,0.0 +650.0,France,Female,27.0,6.0,0.0,2.0,1.0,0.0,1002.39,1.0 +841.0,France,Female,36.0,5.0,156021.31,1.0,0.0,0.0,122662.98,0.0 +701.0,Germany,Male,41.0,0.0,150844.94,1.0,0.0,1.0,127623.36,1.0 +850.0,Germany,Female,33.0,7.0,134678.13,1.0,1.0,0.0,113177.95,1.0 +630.0,France,Male,50.0,1.0,81947.76,1.0,0.0,1.0,63606.22,0.0 +696.0,Spain,Female,36.0,7.0,0.0,2.0,1.0,1.0,82298.59,0.0 +818.0,France,Female,49.0,2.0,0.0,1.0,0.0,1.0,192298.84,0.0 +516.0,Germany,Female,47.0,9.0,128298.74,1.0,0.0,0.0,149614.17, +534.0,France,Female,55.0,8.0,116973.26,3.0,1.0,0.0,122066.5,0.0 +581.0,Germany,Male,39.0,1.0,121523.51,1.0,0.0,0.0,161655.55, +627.0,Germany,Male,30.0,6.0,112372.96,1.0,1.0,1.0,118029.09,0.0 +611.0,Germany,Female,29.0,4.0,78885.88,2.0,1.0,1.0,26927.69,0.0 +723.0,Germany,Male,37.0,3.0,94661.53,2.0,1.0,0.0,121239.65, +684.0,France,Female,25.0,1.0,0.0,2.0,0.0,1.0,144978.47, +596.0,France,Male,21.0,4.0,210433.08,2.0,0.0,1.0,197297.77,0.0 +619.0,Spain,Male,52.0,8.0,0.0,2.0,1.0,1.0,123242.11,0.0 +539.0,Germany,Female,38.0,8.0,82407.51,1.0,1.0,0.0,13123.41,0.0 +571.0,Germany,Female,66.0,9.0,111577.01,1.0,0.0,1.0,189271.9,0.0 +481.0,Spain,Female,37.0,8.0,0.0,2.0,1.0,0.0,44215.86,0.0 +535.0,France,Male,38.0,8.0,85982.07,1.0,1.0,0.0,9238.35,0.0 +748.0,France,Female,39.0,9.0,132865.56,1.0,1.0,1.0,59636.43,1.0 +619.0,Germany,Female,31.0,2.0,56116.3,2.0,0.0,0.0,2181.94,0.0 +811.0,France,Male,31.0,7.0,117799.28,1.0,1.0,1.0,182372.35,0.0 +476.0,France,Male,40.0,6.0,0.0,1.0,1.0,1.0,22735.45,1.0 +584.0,Spain,Female,59.0,1.0,0.0,1.0,0.0,1.0,130260.11,0.0 +590.0,Spain,Female,51.0,10.0,84474.62,2.0,1.0,1.0,190937.09, +660.0,Spain,Male,31.0,1.0,84560.04,1.0,1.0,1.0,137784.25, +725.0,France,Female,29.0,6.0,0.0,2.0,1.0,1.0,190776.83, +554.0,France,Female,35.0,6.0,117707.18,2.0,0.0,0.0,95277.15,0.0 +682.0,France,Female,46.0,2.0,0.0,1.0,1.0,1.0,114442.66,0.0 +659.0,Germany,Male,29.0,9.0,82916.48,1.0,1.0,1.0,84133.48,0.0 +557.0,France,Female,27.0,2.0,0.0,2.0,0.0,1.0,4497.55,0.0 +752.0,France,Female,41.0,8.0,0.0,2.0,1.0,0.0,139844.04,0.0 +671.0,France,Female,48.0,8.0,115713.84,2.0,0.0,0.0,83210.84,1.0 +717.0,France,Male,28.0,4.0,128206.79,1.0,1.0,1.0,54272.12, +662.0,France,Female,36.0,4.0,166909.2,2.0,1.0,0.0,138871.12,0.0 +702.0,France,Male,26.0,5.0,56738.47,2.0,1.0,1.0,100442.22,0.0 +628.0,Germany,Female,30.0,9.0,132351.29,2.0,1.0,1.0,74169.13,0.0 +531.0,Spain,Male,27.0,8.0,132576.25,1.0,0.0,0.0,7222.92,0.0 +502.0,France,Male,33.0,8.0,0.0,2.0,1.0,1.0,123509.01,0.0 +618.0,France,Female,21.0,2.0,125682.79,1.0,0.0,0.0,57762.0,0.0 +803.0,Germany,Male,41.0,9.0,137742.9,2.0,1.0,1.0,166957.82,0.0 +850.0,France,Male,39.0,4.0,127771.35,2.0,0.0,1.0,151738.54,0.0 +622.0,Germany,Female,28.0,1.0,143124.63,2.0,1.0,0.0,81723.8,0.0 +696.0,France,Male,42.0,4.0,0.0,1.0,0.0,0.0,126353.13, +850.0,France,Male,40.0,6.0,97339.99,1.0,0.0,1.0,88815.25,0.0 +676.0,France,Female,49.0,1.0,0.0,1.0,1.0,0.0,79342.31,1.0 +667.0,France,Female,48.0,2.0,0.0,2.0,1.0,1.0,148608.39,0.0 +532.0,France,Male,38.0,9.0,0.0,2.0,0.0,0.0,30583.95,0.0 +837.0,Germany,Male,35.0,0.0,144037.6,1.0,1.0,0.0,145325.32,1.0 +666.0,France,Male,51.0,2.0,148222.65,1.0,0.0,0.0,156953.54,0.0 +679.0,France,Female,33.0,6.0,0.0,2.0,1.0,1.0,98015.85,0.0 +587.0,Spain,Male,41.0,8.0,85109.21,1.0,1.0,0.0,1557.82,1.0 +590.0,France,Male,47.0,3.0,0.0,2.0,1.0,0.0,171774.5,1.0 +621.0,Spain,Female,36.0,7.0,116338.68,1.0,1.0,1.0,155743.48,1.0 +695.0,France,Male,45.0,9.0,43134.65,1.0,0.0,1.0,77330.35,0.0 +707.0,France,Female,35.0,9.0,0.0,2.0,1.0,1.0,70403.65, +634.0,Germany,Male,48.0,2.0,107247.69,1.0,1.0,1.0,103712.05,0.0 +537.0,France,Male,28.0,3.0,157842.07,1.0,1.0,0.0,86911.49,1.0 +849.0,Germany,Male,37.0,7.0,143452.74,2.0,1.0,1.0,17294.12,0.0 +498.0,France,Male,46.0,1.0,91857.66,1.0,1.0,0.0,101954.78,0.0 +602.0,Germany,Female,42.0,6.0,158414.85,1.0,1.0,1.0,131886.46,0.0 +476.0,Germany,Male,30.0,3.0,134366.42,1.0,1.0,0.0,68343.53,0.0 +663.0,Germany,Male,28.0,8.0,123674.28,2.0,1.0,1.0,87985.2, +792.0,France,Female,42.0,0.0,99045.93,2.0,1.0,0.0,47160.01,0.0 +850.0,France,Male,31.0,3.0,0.0,2.0,1.0,0.0,121866.87,0.0 +631.0,Spain,Female,31.0,2.0,88161.85,2.0,1.0,0.0,127630.88, +580.0,France,Male,37.0,9.0,0.0,2.0,0.0,1.0,77108.66,0.0 +614.0,Germany,Female,39.0,8.0,125997.22,1.0,1.0,1.0,128049.34,0.0 +736.0,Germany,Female,26.0,0.0,84587.9,1.0,0.0,1.0,188037.76,0.0 +602.0,Spain,Male,34.0,8.0,98382.72,1.0,1.0,0.0,39542.0, +516.0,France,Male,35.0,10.0,57369.61,1.0,1.0,1.0,101699.77, +586.0,Germany,Male,42.0,6.0,126704.49,2.0,1.0,0.0,41682.3, +770.0,France,Female,37.0,9.0,0.0,2.0,0.0,0.0,22710.72,0.0 +707.0,France,Male,47.0,3.0,0.0,2.0,1.0,0.0,174303.29,0.0 +701.0,Spain,Female,34.0,6.0,107980.37,1.0,1.0,1.0,119374.74, +525.0,Spain,Female,47.0,6.0,118560.0,1.0,1.0,0.0,82522.61,0.0 +566.0,Spain,Male,63.0,2.0,120787.18,2.0,1.0,1.0,52198.84, +574.0,France,Male,33.0,8.0,100267.03,1.0,1.0,0.0,103006.27,1.0 +774.0,Spain,Male,46.0,9.0,0.0,2.0,1.0,1.0,34774.26,1.0 +587.0,Spain,Male,45.0,6.0,0.0,1.0,0.0,0.0,158684.81,0.0 +607.0,Spain,Female,32.0,7.0,0.0,3.0,0.0,1.0,10674.62,0.0 +633.0,Spain,Male,58.0,6.0,98308.51,1.0,1.0,1.0,132034.13,0.0 +597.0,Spain,Male,24.0,0.0,108058.07,2.0,1.0,1.0,187826.11,1.0 +779.0,France,Female,48.0,2.0,115290.27,1.0,0.0,0.0,98912.69,0.0 +685.0,Spain,Male,40.0,7.0,74896.92,1.0,1.0,0.0,198694.2,0.0 +555.0,Germany,Male,42.0,6.0,107104.5,1.0,1.0,1.0,41304.44, +608.0,Spain,Female,38.0,9.0,102406.76,1.0,0.0,1.0,57600.66,1.0 +824.0,Spain,Female,38.0,3.0,0.0,2.0,1.0,0.0,192800.25, +736.0,Spain,Female,28.0,2.0,0.0,2.0,1.0,1.0,117431.1,1.0 +679.0,Germany,Female,34.0,7.0,121063.85,1.0,1.0,0.0,56984.58,0.0 +651.0,Spain,Female,45.0,8.0,95922.9,1.0,1.0,0.0,84782.42,0.0 +682.0,France,Male,48.0,1.0,138778.15,1.0,0.0,1.0,168840.23,0.0 +628.0,Spain,Male,40.0,10.0,0.0,2.0,1.0,0.0,103832.58,0.0 +554.0,Germany,Female,43.0,2.0,120847.11,1.0,1.0,0.0,7611.61,0.0 +534.0,France,Female,53.0,7.0,0.0,2.0,1.0,1.0,80619.17,0.0 +774.0,France,Male,60.0,5.0,85891.55,1.0,1.0,0.0,74135.48,0.0 +675.0,France,Male,35.0,8.0,0.0,2.0,1.0,1.0,56642.97,0.0 +678.0,France,Female,32.0,9.0,0.0,1.0,1.0,1.0,148210.64,0.0 +644.0,Germany,Female,40.0,4.0,77270.08,2.0,1.0,1.0,115800.1,0.0 +767.0,France,Male,36.0,3.0,139180.2,1.0,0.0,0.0,123880.19,0.0 +510.0,France,Male,44.0,6.0,0.0,2.0,1.0,1.0,175518.31,0.0 +668.0,France,Female,53.0,10.0,110240.04,1.0,0.0,0.0,183980.56,0.0 +745.0,France,Male,21.0,4.0,137910.45,1.0,1.0,1.0,177235.23,0.0 +603.0,France,Female,24.0,3.0,0.0,1.0,1.0,1.0,198826.03, +612.0,Spain,Female,26.0,4.0,0.0,2.0,1.0,1.0,179780.74,0.0 +572.0,France,Female,30.0,6.0,0.0,1.0,0.0,1.0,175025.27,1.0 +717.0,France,Female,25.0,7.0,108664.85,2.0,1.0,0.0,190011.85,0.0 +775.0,France,Male,42.0,6.0,133970.22,2.0,0.0,1.0,187839.9, +590.0,France,Male,31.0,8.0,112211.61,1.0,1.0,0.0,26261.42, +575.0,Spain,Male,53.0,1.0,84903.33,2.0,0.0,1.0,26015.8,0.0 +590.0,France,Female,32.0,0.0,127763.24,1.0,1.0,0.0,100717.54,0.0 +579.0,Germany,Female,42.0,3.0,137560.38,2.0,1.0,1.0,85424.34,0.0 +642.0,Germany,Male,30.0,8.0,134497.27,1.0,0.0,0.0,43250.54,0.0 +667.0,France,Male,41.0,6.0,0.0,2.0,0.0,0.0,167181.77, +680.0,Germany,Female,51.0,5.0,143139.87,1.0,0.0,0.0,47795.43,0.0 +534.0,Spain,Male,51.0,3.0,0.0,2.0,0.0,1.0,20856.31,0.0 +553.0,Spain,Male,44.0,4.0,0.0,1.0,1.0,0.0,10789.3,0.0 +575.0,France,Male,36.0,1.0,0.0,1.0,0.0,1.0,94570.56, +850.0,Spain,Male,28.0,9.0,97408.03,1.0,1.0,1.0,175853.64,0.0 +469.0,France,Female,48.0,5.0,0.0,1.0,1.0,0.0,160529.71,1.0 +549.0,France,Female,29.0,8.0,0.0,2.0,1.0,1.0,189558.44,0.0 +487.0,Spain,Female,36.0,1.0,140137.15,1.0,1.0,0.0,194073.33,1.0 +801.0,Spain,Female,46.0,6.0,0.0,2.0,1.0,1.0,170008.74, +619.0,Germany,Female,28.0,6.0,99152.73,2.0,1.0,0.0,48475.12,0.0 +805.0,Germany,Female,45.0,9.0,116585.97,1.0,1.0,0.0,189428.75,0.0 +616.0,France,Male,40.0,9.0,0.0,2.0,0.0,0.0,93717.55, +627.0,Spain,Male,41.0,5.0,100880.76,1.0,0.0,1.0,134665.25,1.0 +711.0,Germany,Male,34.0,4.0,133467.77,2.0,1.0,1.0,42976.64,0.0 +639.0,Spain,Male,29.0,4.0,133434.57,2.0,1.0,0.0,97983.44,0.0 +646.0,France,Female,46.0,8.0,0.0,2.0,1.0,0.0,133059.15, +749.0,France,Male,24.0,1.0,0.0,3.0,1.0,1.0,47911.03,1.0 +829.0,France,Female,22.0,7.0,150126.44,1.0,1.0,0.0,152107.93,0.0 +743.0,Germany,Male,59.0,5.0,108585.35,1.0,1.0,1.0,192127.22,1.0 +754.0,Spain,Female,50.0,7.0,146777.44,2.0,0.0,1.0,150685.52,0.0 +718.0,France,Male,29.0,2.0,0.0,1.0,1.0,0.0,126336.72,0.0 +812.0,France,Male,29.0,6.0,0.0,2.0,0.0,0.0,168023.6,0.0 +724.0,France,Female,34.0,3.0,132352.69,1.0,1.0,0.0,80320.3, +843.0,France,Female,27.0,5.0,0.0,2.0,1.0,1.0,67494.23,1.0 +718.0,France,Female,43.0,0.0,93143.39,1.0,1.0,0.0,167554.86, +686.0,Spain,Male,34.0,9.0,0.0,2.0,1.0,0.0,127569.8,1.0 +585.0,France,Male,42.0,2.0,0.0,2.0,1.0,1.0,18657.77,0.0 +532.0,France,Male,36.0,4.0,0.0,2.0,1.0,1.0,132798.78, +632.0,Germany,Male,23.0,3.0,122478.51,1.0,1.0,0.0,147230.77, +630.0,Germany,Female,25.0,7.0,79656.81,1.0,1.0,0.0,93524.22,0.0 +581.0,France,Female,27.0,5.0,102258.11,2.0,1.0,0.0,194681.6, +798.0,Spain,Female,58.0,9.0,0.0,2.0,0.0,0.0,119071.56,0.0 +850.0,France,Male,66.0,4.0,0.0,2.0,0.0,1.0,64350.8,0.0 +667.0,France,Male,44.0,8.0,122277.87,1.0,1.0,1.0,91810.71,1.0 +633.0,France,Male,25.0,1.0,0.0,1.0,1.0,0.0,100598.98, +655.0,Germany,Female,37.0,4.0,108862.76,1.0,1.0,0.0,79555.08, +693.0,France,Male,68.0,2.0,0.0,2.0,1.0,1.0,59864.96,0.0 +793.0,France,Male,35.0,2.0,0.0,2.0,1.0,1.0,79704.12, +783.0,France,Male,40.0,6.0,0.0,2.0,1.0,0.0,109742.55, +635.0,France,Male,29.0,7.0,105405.97,1.0,1.0,1.0,149853.89,0.0 +718.0,France,Male,35.0,8.0,0.0,2.0,1.0,0.0,94820.85,0.0 +630.0,France,Female,28.0,1.0,0.0,2.0,1.0,1.0,133267.78,0.0 +578.0,Germany,Female,31.0,5.0,102088.68,4.0,0.0,0.0,187866.21,0.0 +492.0,France,Female,49.0,8.0,0.0,1.0,1.0,1.0,182865.09,0.0 +569.0,Spain,Male,43.0,8.0,161546.68,2.0,0.0,1.0,178187.28,0.0 +587.0,Germany,Female,38.0,0.0,132122.42,2.0,0.0,0.0,31730.32,0.0 +597.0,France,Female,60.0,0.0,131778.08,1.0,0.0,0.0,10703.53,1.0 +625.0,France,Female,39.0,3.0,130786.92,1.0,0.0,1.0,121316.07,0.0 +515.0,Spain,Male,35.0,10.0,176273.95,1.0,0.0,1.0,121277.78,0.0 +692.0,Spain,Female,29.0,4.0,0.0,2.0,0.0,0.0,138880.24, +499.0,France,Male,35.0,10.0,0.0,2.0,1.0,0.0,10722.54,0.0 +606.0,France,Female,71.0,8.0,0.0,2.0,1.0,1.0,169741.96, +738.0,France,Male,18.0,4.0,0.0,2.0,1.0,1.0,47799.15,1.0 +703.0,Spain,Female,45.0,1.0,0.0,1.0,1.0,0.0,182784.11,0.0 +594.0,Spain,Female,24.0,0.0,97378.54,1.0,1.0,1.0,71405.17,0.0 +542.0,France,Male,67.0,10.0,129431.36,1.0,0.0,1.0,21343.74, +743.0,France,Female,73.0,6.0,0.0,2.0,0.0,1.0,107867.38,0.0 +700.0,Spain,Male,29.0,8.0,0.0,2.0,0.0,1.0,152097.02,0.0 +850.0,Spain,Female,29.0,7.0,0.0,2.0,1.0,0.0,23237.25,0.0 +812.0,France,Male,32.0,5.0,133050.97,2.0,1.0,0.0,89385.92,0.0 +803.0,France,Male,33.0,6.0,0.0,2.0,1.0,0.0,115676.61,1.0 +571.0,France,Male,41.0,8.0,0.0,1.0,1.0,1.0,63736.17,0.0 +804.0,Spain,Male,33.0,7.0,76548.6,1.0,0.0,1.0,98453.45,0.0 +727.0,Germany,Male,36.0,6.0,140418.81,1.0,1.0,1.0,113033.73,0.0 +695.0,France,Female,50.0,8.0,0.0,1.0,1.0,0.0,126381.6,0.0 +682.0,Germany,Female,43.0,7.0,111094.05,2.0,1.0,1.0,64679.3, +618.0,France,Female,24.0,7.0,128736.39,1.0,0.0,1.0,37147.61,0.0 +687.0,Germany,Female,47.0,1.0,91219.29,1.0,0.0,0.0,158845.49, +826.0,France,Male,26.0,5.0,142662.68,1.0,0.0,0.0,60285.3, +850.0,Germany,Female,25.0,8.0,69385.17,2.0,1.0,0.0,87834.24,1.0 +705.0,France,Male,61.0,4.0,0.0,2.0,1.0,1.0,191313.7,0.0 +667.0,Spain,Male,77.0,2.0,0.0,1.0,1.0,1.0,34702.92,1.0 +765.0,France,Male,51.0,3.0,123372.3,1.0,1.0,1.0,115429.32,0.0 +701.0,France,Male,29.0,2.0,0.0,2.0,1.0,0.0,176943.59,0.0 +617.0,Spain,Male,38.0,7.0,0.0,1.0,1.0,1.0,27239.28,0.0 +636.0,France,Female,38.0,1.0,0.0,1.0,1.0,0.0,45015.38,0.0 +638.0,France,Female,36.0,6.0,0.0,1.0,1.0,0.0,164247.51, +621.0,Spain,Male,53.0,9.0,170491.84,1.0,1.0,0.0,35588.07,0.0 +763.0,France,Male,35.0,9.0,0.0,1.0,1.0,1.0,31372.91,1.0 +661.0,Germany,Female,35.0,5.0,150725.53,2.0,0.0,1.0,113656.85,1.0 +735.0,Germany,Female,43.0,9.0,98807.45,1.0,0.0,0.0,184570.04,0.0 +521.0,France,Male,38.0,5.0,110641.18,1.0,0.0,1.0,136507.69,0.0 +668.0,Spain,Male,32.0,1.0,134446.04,1.0,0.0,1.0,111241.37, +835.0,Germany,Male,20.0,4.0,124365.42,1.0,0.0,0.0,180197.74,0.0 +682.0,France,Female,37.0,8.0,148580.12,1.0,1.0,0.0,35179.18,0.0 +545.0,France,Male,26.0,7.0,0.0,2.0,0.0,1.0,156598.23,0.0 +660.0,France,Female,48.0,0.0,90044.32,2.0,0.0,1.0,187604.97, +426.0,France,Female,34.0,3.0,0.0,2.0,1.0,1.0,61230.83,0.0 +632.0,Germany,Male,30.0,2.0,72549.0,2.0,0.0,1.0,182728.8, +546.0,France,Female,30.0,5.0,0.0,2.0,0.0,1.0,198543.09, +822.0,France,Male,32.0,8.0,116358.0,1.0,1.0,0.0,108798.36,0.0 +583.0,France,Female,27.0,1.0,125406.58,1.0,1.0,1.0,110784.42,0.0 +652.0,France,Female,80.0,4.0,0.0,2.0,1.0,1.0,188603.07,0.0 +749.0,France,Female,27.0,9.0,0.0,2.0,1.0,0.0,132734.87, +590.0,France,Male,47.0,0.0,117879.32,1.0,1.0,1.0,8214.46,0.0 +515.0,Germany,Male,45.0,7.0,120961.5,3.0,1.0,1.0,39288.11,0.0 +582.0,Germany,Female,50.0,6.0,96486.57,2.0,1.0,1.0,20344.02, +582.0,France,Male,39.0,5.0,0.0,2.0,1.0,1.0,129892.93,1.0 +749.0,Germany,Male,46.0,10.0,78136.36,2.0,1.0,1.0,73470.98,1.0 +583.0,Germany,Female,54.0,6.0,115988.86,1.0,1.0,0.0,57553.98,0.0 +618.0,France,Female,31.0,4.0,0.0,2.0,1.0,0.0,29176.04,1.0 +540.0,Spain,Male,28.0,8.0,0.0,2.0,0.0,0.0,197588.32,1.0 +841.0,Germany,Female,33.0,7.0,154969.79,2.0,1.0,1.0,99505.75,0.0 +596.0,France,Female,39.0,10.0,86546.29,1.0,0.0,1.0,131768.98,0.0 +717.0,France,Female,76.0,9.0,138489.66,1.0,1.0,1.0,68400.14,0.0 +850.0,France,Male,30.0,6.0,86449.39,1.0,1.0,1.0,188809.23,1.0 +600.0,Germany,Female,39.0,7.0,88477.36,2.0,1.0,0.0,58632.37,0.0 +635.0,Spain,Female,38.0,1.0,0.0,2.0,1.0,0.0,90605.05,0.0 +669.0,France,Male,37.0,4.0,0.0,1.0,1.0,0.0,132540.33,0.0 +806.0,France,Male,31.0,9.0,0.0,2.0,0.0,1.0,140168.36,1.0 +664.0,France,Male,24.0,7.0,0.0,1.0,0.0,1.0,35611.35, +652.0,France,Male,38.0,6.0,0.0,2.0,1.0,1.0,145700.22,1.0 +652.0,Spain,Male,58.0,6.0,0.0,2.0,0.0,1.0,170025.43,0.0 +701.0,Germany,Male,36.0,7.0,95448.32,2.0,1.0,0.0,189085.07,0.0 +684.0,Spain,Female,24.0,9.0,79263.9,1.0,0.0,1.0,196574.48,0.0 +625.0,France,Male,52.0,5.0,164978.01,1.0,1.0,1.0,67788.49,0.0 +575.0,Spain,Female,37.0,9.0,133292.45,1.0,1.0,0.0,111175.09,0.0 +579.0,Germany,Female,39.0,5.0,117833.3,3.0,0.0,0.0,5831.0,0.0 +677.0,France,Female,27.0,2.0,0.0,2.0,0.0,1.0,114685.92,0.0 +652.0,France,Female,48.0,8.0,133297.24,1.0,1.0,0.0,77764.37,0.0 +416.0,Germany,Female,41.0,10.0,122189.66,2.0,1.0,0.0,98301.61,0.0 +553.0,France,Male,32.0,3.0,116324.53,1.0,1.0,0.0,77304.49,0.0 +528.0,Spain,Female,32.0,0.0,68138.37,1.0,1.0,1.0,170309.19, +675.0,France,Female,34.0,10.0,84944.58,1.0,0.0,0.0,146230.63,1.0 +850.0,Germany,Male,49.0,8.0,98649.55,1.0,1.0,0.0,119174.88,0.0 +638.0,France,Male,36.0,6.0,188455.19,1.0,0.0,0.0,47031.4,1.0 +451.0,France,Female,31.0,7.0,140931.82,1.0,0.0,1.0,20388.77, +718.0,France,Male,35.0,3.0,97560.16,1.0,1.0,1.0,53511.74,0.0 +652.0,France,Male,51.0,7.0,0.0,2.0,0.0,1.0,43496.36,0.0 +532.0,Spain,Female,66.0,3.0,0.0,1.0,1.0,1.0,115227.02,0.0 +496.0,Germany,Female,55.0,4.0,125292.53,1.0,1.0,1.0,31532.96,0.0 +712.0,France,Female,42.0,1.0,87842.98,1.0,0.0,0.0,92223.59,0.0 +696.0,France,Male,33.0,2.0,163139.27,1.0,1.0,1.0,7035.36,0.0 +841.0,France,Male,74.0,9.0,108131.53,1.0,0.0,1.0,60830.38,0.0 +681.0,France,Male,46.0,0.0,105969.42,1.0,1.0,0.0,5771.56,0.0 +608.0,Germany,Female,48.0,2.0,127924.25,2.0,1.0,0.0,32202.61,0.0 +706.0,Germany,Female,47.0,6.0,120621.89,1.0,1.0,1.0,140803.7,0.0 +697.0,France,Male,32.0,7.0,175464.85,3.0,1.0,0.0,116442.42,0.0 +709.0,France,Male,36.0,0.0,0.0,2.0,1.0,0.0,46811.77,0.0 +647.0,France,Female,33.0,4.0,0.0,1.0,1.0,0.0,152323.04,0.0 +588.0,Germany,Male,35.0,3.0,104356.38,1.0,1.0,0.0,94498.82,0.0 +610.0,Spain,Female,50.0,5.0,130554.51,3.0,1.0,0.0,184758.17,0.0 +627.0,Spain,Female,35.0,7.0,0.0,1.0,1.0,0.0,187718.26,0.0 +562.0,France,Male,29.0,9.0,0.0,1.0,1.0,1.0,25858.68,0.0 +630.0,Spain,Male,39.0,10.0,105473.74,1.0,0.0,0.0,58854.88, +592.0,Germany,Male,36.0,2.0,104702.65,2.0,1.0,0.0,107948.72,1.0 +595.0,France,Male,31.0,4.0,0.0,2.0,1.0,0.0,189995.86,0.0 +562.0,Spain,Female,35.0,0.0,0.0,2.0,1.0,0.0,119899.52,0.0 +617.0,France,Male,34.0,1.0,61687.33,2.0,1.0,0.0,105965.25,0.0 +588.0,France,Male,32.0,1.0,0.0,2.0,1.0,1.0,8763.87,0.0 +662.0,Spain,Female,72.0,7.0,140301.72,1.0,0.0,1.0,179258.67,0.0 +723.0,Germany,Female,49.0,0.0,153855.52,1.0,1.0,1.0,180862.26, +787.0,France,Male,25.0,5.0,0.0,2.0,1.0,0.0,47307.9,0.0 +629.0,Spain,Male,35.0,4.0,174588.8,2.0,0.0,1.0,158420.14,1.0 +634.0,Germany,Female,29.0,8.0,130036.21,2.0,0.0,1.0,69849.55,1.0 +626.0,France,Male,21.0,1.0,0.0,2.0,1.0,0.0,66232.23,0.0 +683.0,Spain,Male,30.0,1.0,113257.2,1.0,1.0,1.0,65035.02,0.0 +835.0,Spain,Male,38.0,7.0,86824.09,1.0,0.0,0.0,175905.97,0.0 +601.0,Germany,Female,33.0,7.0,114430.18,2.0,1.0,1.0,153012.13,0.0 +744.0,Spain,Female,30.0,1.0,124037.28,1.0,1.0,1.0,142210.94,1.0 +679.0,France,Male,47.0,10.0,198546.1,2.0,1.0,0.0,191198.92,0.0 +722.0,Germany,Female,37.0,0.0,125977.81,1.0,0.0,0.0,160162.42, +678.0,Germany,Male,48.0,2.0,101099.9,2.0,0.0,1.0,193476.04,1.0 +504.0,France,Male,42.0,3.0,134936.97,2.0,0.0,0.0,135178.91,0.0 +738.0,France,Male,49.0,6.0,106770.82,1.0,1.0,0.0,123499.27,0.0 +701.0,Spain,Female,21.0,9.0,0.0,2.0,1.0,1.0,26327.42,1.0 +710.0,Spain,Male,23.0,6.0,0.0,2.0,1.0,1.0,134188.11, +768.0,France,Female,26.0,5.0,51116.26,1.0,1.0,1.0,70454.79,0.0 +675.0,France,Male,39.0,1.0,0.0,2.0,1.0,0.0,153129.22, +540.0,France,Male,37.0,6.0,0.0,2.0,1.0,0.0,141998.89,0.0 +657.0,Spain,Male,29.0,7.0,83889.03,1.0,1.0,0.0,153059.62, +619.0,France,Female,38.0,3.0,0.0,2.0,0.0,1.0,116467.35,0.0 +678.0,France,Male,54.0,7.0,128914.97,1.0,0.0,0.0,191746.23,1.0 +762.0,Germany,Male,34.0,4.0,88815.56,2.0,1.0,0.0,68562.26,0.0 +689.0,France,Female,46.0,7.0,52016.08,2.0,1.0,1.0,72993.65, +593.0,Germany,Female,38.0,4.0,129499.42,1.0,1.0,1.0,154071.27,0.0 +592.0,France,Male,37.0,4.0,212692.97,1.0,0.0,0.0,176395.02,0.0 +642.0,Germany,Female,40.0,6.0,129502.49,2.0,0.0,1.0,86099.23,0.0 +683.0,Germany,Female,35.0,1.0,132371.3,2.0,0.0,0.0,186123.57,0.0 +550.0,France,Female,30.0,4.0,0.0,2.0,1.0,0.0,89216.29, +850.0,France,Female,35.0,6.0,81684.97,1.0,1.0,0.0,824.0,0.0 +491.0,Germany,Male,19.0,2.0,125860.2,1.0,0.0,0.0,129690.5,0.0 +732.0,France,Male,36.0,7.0,126195.81,1.0,1.0,1.0,133172.48,0.0 +601.0,France,Male,44.0,1.0,100486.18,2.0,1.0,1.0,62678.53,0.0 +614.0,France,Female,19.0,5.0,97445.49,2.0,1.0,0.0,122823.34,0.0 +758.0,Spain,Female,43.0,10.0,0.0,2.0,1.0,1.0,55313.44,1.0 +611.0,Spain,Male,52.0,7.0,0.0,1.0,0.0,1.0,73585.18,0.0 +687.0,Spain,Male,35.0,3.0,0.0,2.0,1.0,1.0,176450.19,0.0 +711.0,Germany,Female,52.0,8.0,145262.54,1.0,0.0,1.0,131473.31,0.0 +577.0,Spain,Female,33.0,6.0,0.0,2.0,1.0,0.0,57975.8, +620.0,France,Male,42.0,4.0,0.0,2.0,1.0,0.0,6232.31,0.0 +697.0,France,Female,25.0,1.0,0.0,2.0,0.0,0.0,87803.32,0.0 +749.0,France,Male,42.0,1.0,129776.72,2.0,0.0,1.0,143538.51,1.0 +850.0,France,Female,37.0,7.0,153147.75,1.0,1.0,1.0,152235.3,0.0 +684.0,France,Female,41.0,6.0,135203.81,2.0,1.0,1.0,121967.88,0.0 +588.0,Spain,Male,34.0,10.0,0.0,2.0,1.0,0.0,79078.91,1.0 +553.0,France,Male,33.0,4.0,118082.89,1.0,0.0,0.0,94440.45,1.0 +537.0,Germany,Male,48.0,4.0,131834.8,1.0,1.0,0.0,166476.95,1.0 +676.0,France,Female,34.0,1.0,63095.01,1.0,1.0,1.0,40645.81,1.0 +583.0,Spain,Female,40.0,4.0,0.0,2.0,1.0,0.0,114093.73,0.0 +642.0,France,Male,48.0,9.0,118317.27,4.0,0.0,0.0,78702.98,0.0 +618.0,Germany,Male,41.0,8.0,37702.79,1.0,1.0,1.0,195775.48,0.0 +617.0,France,Female,34.0,0.0,131244.65,2.0,1.0,0.0,183229.02,1.0 +640.0,Germany,Female,30.0,5.0,32197.64,1.0,0.0,1.0,141446.01, +533.0,Germany,Male,51.0,6.0,127545.56,2.0,0.0,0.0,79559.02, +850.0,Spain,Female,45.0,4.0,114347.85,2.0,1.0,1.0,109089.04,0.0 +597.0,France,Male,67.0,2.0,0.0,2.0,0.0,1.0,108645.85,0.0 +540.0,Spain,Male,37.0,0.0,120825.7,1.0,1.0,0.0,28257.89,0.0 +812.0,Germany,Male,25.0,5.0,54817.55,1.0,1.0,0.0,131660.31,0.0 +502.0,France,Female,35.0,6.0,0.0,2.0,1.0,1.0,80618.47, +655.0,Germany,Female,44.0,6.0,146498.76,1.0,1.0,0.0,64853.51, +741.0,France,Male,29.0,8.0,0.0,2.0,1.0,1.0,115994.52,0.0 +663.0,Spain,Female,28.0,8.0,61274.7,2.0,1.0,0.0,136054.45, +790.0,Spain,Male,20.0,8.0,0.0,2.0,1.0,0.0,168152.76,0.0 +498.0,France,Male,33.0,1.0,198113.86,1.0,1.0,0.0,69664.35,0.0 +580.0,Spain,Male,29.0,9.0,61710.44,2.0,1.0,0.0,128077.8,0.0 +605.0,France,Female,51.0,9.0,104760.82,1.0,1.0,1.0,165574.54,0.0 +694.0,Spain,Male,31.0,5.0,0.0,1.0,1.0,0.0,35593.18,0.0 +472.0,France,Male,31.0,4.0,58662.92,2.0,0.0,1.0,73322.0,0.0 +562.0,France,Male,45.0,6.0,136855.24,1.0,1.0,0.0,46864.0,0.0 +554.0,France,Female,44.0,6.0,92436.86,1.0,1.0,0.0,126033.9,0.0 +715.0,Spain,Male,42.0,6.0,0.0,2.0,1.0,1.0,128745.69,0.0 +711.0,France,Female,37.0,8.0,113899.92,1.0,0.0,0.0,80215.2,0.0 +651.0,France,Female,39.0,6.0,0.0,1.0,1.0,0.0,24176.44,1.0 +705.0,Spain,Male,36.0,1.0,111629.29,1.0,1.0,1.0,21807.16, +702.0,France,Female,46.0,9.0,98444.19,1.0,0.0,1.0,109563.28,0.0 +769.0,Germany,Male,27.0,7.0,188614.07,1.0,1.0,0.0,171344.09,0.0 +574.0,France,Female,39.0,2.0,122524.61,2.0,1.0,0.0,88463.63,0.0 +606.0,France,Male,40.0,5.0,0.0,2.0,1.0,1.0,70899.27,0.0 +636.0,Germany,Female,31.0,9.0,80844.69,2.0,1.0,1.0,74641.9,1.0 +647.0,France,Female,35.0,6.0,112668.7,1.0,0.0,1.0,122584.29, +537.0,France,Male,39.0,2.0,0.0,2.0,1.0,1.0,137651.6,1.0 +700.0,Spain,Female,43.0,0.0,0.0,2.0,1.0,0.0,59475.35,0.0 +586.0,France,Male,64.0,1.0,0.0,2.0,1.0,1.0,53710.23, +850.0,France,Male,40.0,9.0,0.0,2.0,0.0,1.0,119232.33,1.0 +699.0,France,Female,40.0,8.0,122038.34,1.0,1.0,0.0,102085.35, +529.0,Spain,Female,35.0,5.0,0.0,2.0,1.0,0.0,56518.0,0.0 +665.0,France,Male,33.0,2.0,101286.11,1.0,1.0,1.0,159840.51,1.0 +665.0,France,Male,39.0,10.0,46323.57,1.0,1.0,0.0,136812.02,0.0 +420.0,Germany,Female,31.0,1.0,108377.75,2.0,1.0,1.0,9904.63,0.0 +613.0,France,Male,20.0,3.0,0.0,2.0,1.0,1.0,149613.77,1.0 +534.0,France,Male,27.0,9.0,0.0,2.0,1.0,0.0,161344.13,0.0 +535.0,France,Female,40.0,8.0,0.0,1.0,1.0,1.0,27689.77,0.0 +604.0,Germany,Female,47.0,4.0,118907.6,1.0,0.0,1.0,47777.15, +657.0,Spain,Male,36.0,8.0,0.0,2.0,0.0,1.0,123866.43, +652.0,Spain,Female,75.0,10.0,0.0,2.0,1.0,1.0,114675.75,0.0 +651.0,Germany,Male,37.0,9.0,114453.58,1.0,0.0,1.0,175820.91,0.0 +685.0,France,Female,50.0,6.0,94238.75,2.0,1.0,1.0,50664.07,0.0 +543.0,France,Male,22.0,8.0,0.0,2.0,0.0,0.0,127587.22,0.0 +827.0,Spain,Male,46.0,1.0,183276.32,1.0,1.0,1.0,13460.27,1.0 +696.0,France,Male,29.0,8.0,0.0,2.0,1.0,0.0,191166.09,0.0 +633.0,France,Male,35.0,3.0,0.0,2.0,1.0,1.0,36249.76, +550.0,France,Female,40.0,8.0,150490.32,1.0,0.0,0.0,166468.21, +698.0,Germany,Male,55.0,8.0,155059.1,2.0,1.0,1.0,144584.29,0.0 +755.0,France,Female,43.0,9.0,0.0,2.0,1.0,0.0,18066.69,0.0 +691.0,Germany,Male,38.0,9.0,163965.69,2.0,0.0,1.0,103511.26,0.0 +444.0,France,Male,34.0,2.0,144318.97,1.0,1.0,0.0,112668.06,1.0 +639.0,Spain,Female,54.0,2.0,0.0,2.0,1.0,1.0,53843.71,0.0 +616.0,France,Female,31.0,3.0,136789.14,1.0,1.0,0.0,59346.4, +484.0,Germany,Male,54.0,3.0,134388.11,1.0,0.0,0.0,49954.79,0.0 +599.0,Spain,Male,42.0,6.0,0.0,2.0,1.0,0.0,113868.4,0.0 +658.0,France,Female,39.0,4.0,0.0,1.0,1.0,1.0,147530.06, +706.0,Germany,Male,23.0,2.0,93301.97,2.0,0.0,1.0,127187.04,0.0 +705.0,France,Male,32.0,7.0,0.0,2.0,1.0,0.0,7921.57,1.0 +685.0,Germany,Male,30.0,3.0,90536.81,1.0,0.0,1.0,63082.88,1.0 +681.0,France,Female,29.0,2.0,148143.84,1.0,1.0,1.0,52021.39,0.0 +542.0,France,Male,38.0,8.0,65942.26,1.0,1.0,1.0,68093.23,0.0 +508.0,France,Male,31.0,8.0,72541.48,1.0,1.0,0.0,129803.08,0.0 +553.0,Spain,Female,48.0,3.0,0.0,1.0,0.0,1.0,30730.95,0.0 +734.0,France,Female,54.0,3.0,0.0,1.0,1.0,0.0,130805.54,0.0 +693.0,Spain,Female,39.0,0.0,0.0,2.0,0.0,0.0,81901.6, +506.0,France,Male,34.0,7.0,0.0,2.0,0.0,0.0,115842.1,0.0 +629.0,France,Male,39.0,2.0,129669.32,2.0,1.0,0.0,82774.07,0.0 +731.0,France,Female,47.0,1.0,115414.19,3.0,0.0,0.0,191734.67,1.0 +670.0,France,Male,33.0,1.0,0.0,2.0,1.0,1.0,86413.11,1.0 +583.0,Spain,Male,47.0,5.0,102562.23,1.0,1.0,0.0,92708.1,0.0 +506.0,Germany,Female,59.0,3.0,190353.08,1.0,1.0,0.0,78365.75, +681.0,Spain,Female,37.0,6.0,121231.39,1.0,1.0,1.0,146366.08, +648.0,Germany,Female,28.0,8.0,90371.09,1.0,1.0,1.0,146851.73,1.0 +724.0,Germany,Male,54.0,8.0,172192.49,1.0,1.0,1.0,136902.01,0.0 +646.0,France,Female,38.0,2.0,0.0,2.0,0.0,0.0,178752.73,0.0 +536.0,France,Male,39.0,4.0,0.0,2.0,1.0,0.0,27150.35,0.0 +850.0,Germany,Male,61.0,3.0,141784.02,1.0,1.0,1.0,92053.75,1.0 +751.0,France,Female,44.0,10.0,0.0,2.0,1.0,0.0,170634.49, +754.0,France,Female,38.0,2.0,0.0,2.0,0.0,0.0,3524.69,0.0 +686.0,France,Male,38.0,0.0,138131.34,1.0,0.0,1.0,115927.85,0.0 +850.0,Spain,Male,34.0,8.0,199229.14,1.0,0.0,0.0,68106.29,0.0 +668.0,France,Male,42.0,8.0,187534.79,1.0,1.0,1.0,32900.41, +550.0,France,Male,32.0,8.0,97514.07,1.0,1.0,1.0,199138.84, +675.0,France,Male,32.0,1.0,0.0,3.0,1.0,0.0,85901.09, +596.0,Germany,Male,40.0,5.0,62389.03,3.0,1.0,0.0,148623.43,0.0 +660.0,France,Male,34.0,8.0,106486.66,2.0,0.0,1.0,182262.66, +736.0,France,Male,29.0,4.0,0.0,2.0,0.0,0.0,51705.01,0.0 +646.0,France,Male,30.0,5.0,98014.74,1.0,1.0,1.0,12757.14,0.0 +602.0,France,Male,32.0,10.0,0.0,2.0,1.0,1.0,116052.92,0.0 +730.0,Spain,Male,38.0,5.0,118866.36,1.0,1.0,1.0,163317.5,0.0 +514.0,Germany,Male,43.0,1.0,95556.31,1.0,0.0,1.0,199273.98,0.0 +669.0,France,Male,39.0,3.0,119452.03,1.0,1.0,1.0,171575.54,1.0 +591.0,France,Male,33.0,9.0,131765.72,1.0,1.0,0.0,118782.06,0.0 +850.0,France,Female,29.0,10.0,0.0,2.0,1.0,1.0,199775.67,0.0 +782.0,Spain,Male,34.0,6.0,147422.44,1.0,0.0,1.0,42143.61,0.0 +472.0,France,Male,19.0,9.0,0.0,2.0,1.0,0.0,3453.4, +520.0,Spain,Male,43.0,7.0,0.0,2.0,1.0,1.0,36202.74,0.0 +571.0,France,Female,42.0,4.0,108825.34,3.0,1.0,0.0,55558.51,0.0 +655.0,Spain,Female,29.0,9.0,0.0,2.0,0.0,1.0,85736.26,0.0 +401.0,Germany,Male,48.0,8.0,128140.17,1.0,1.0,0.0,175753.55,0.0 +643.0,France,Male,45.0,5.0,0.0,1.0,1.0,0.0,142513.5,1.0 +545.0,Germany,Female,60.0,7.0,128981.07,1.0,0.0,1.0,176924.21,0.0 +786.0,Spain,Male,31.0,9.0,0.0,2.0,1.0,1.0,18210.36,1.0 +496.0,France,Male,30.0,0.0,90963.49,1.0,0.0,1.0,27802.0,0.0 +614.0,France,Female,43.0,6.0,0.0,2.0,1.0,1.0,109041.53,0.0 +812.0,France,Male,44.0,4.0,115049.15,2.0,1.0,0.0,165038.41,0.0 +816.0,Germany,Female,38.0,5.0,130878.75,3.0,1.0,0.0,71905.77,0.0 +753.0,Germany,Male,32.0,5.0,159904.79,1.0,1.0,0.0,148811.14, +681.0,France,Male,25.0,5.0,0.0,1.0,0.0,1.0,90860.97,1.0 +386.0,Spain,Female,53.0,1.0,131955.07,1.0,1.0,1.0,62514.65,1.0 +608.0,Spain,Male,37.0,2.0,130461.02,1.0,1.0,0.0,21967.15, +559.0,France,Male,62.0,6.0,118756.62,1.0,1.0,1.0,20367.68, +620.0,France,Male,61.0,5.0,0.0,1.0,0.0,0.0,31641.52,0.0 +637.0,France,Female,21.0,10.0,125712.2,1.0,0.0,0.0,175072.47, +721.0,Spain,Female,36.0,2.0,0.0,2.0,1.0,1.0,106977.8,0.0 +513.0,Spain,Female,42.0,10.0,0.0,2.0,0.0,1.0,73151.25,0.0 +684.0,Spain,Male,34.0,9.0,100628.0,2.0,1.0,1.0,190263.78,0.0 +498.0,France,Male,34.0,2.0,0.0,2.0,1.0,1.0,148528.24,0.0 +774.0,France,Male,76.0,4.0,112510.89,1.0,1.0,1.0,143133.18,1.0 +732.0,France,Male,26.0,7.0,0.0,2.0,1.0,0.0,154364.66,0.0 +634.0,Germany,Male,74.0,5.0,108891.7,1.0,1.0,0.0,10078.02,0.0 +501.0,France,Male,37.0,4.0,0.0,2.0,0.0,0.0,12470.3,0.0 +646.0,Spain,Female,50.0,5.0,142644.64,2.0,1.0,1.0,142208.5,0.0 +505.0,France,Male,34.0,10.0,104498.79,1.0,0.0,1.0,126451.14,0.0 +724.0,France,Female,30.0,9.0,142475.87,1.0,1.0,1.0,107848.24,1.0 +421.0,Germany,Male,28.0,8.0,122384.22,3.0,1.0,1.0,89017.38,0.0 +850.0,France,Male,38.0,7.0,80293.98,1.0,0.0,0.0,126555.74,0.0 +480.0,France,Female,42.0,1.0,152160.21,2.0,1.0,0.0,101778.9,1.0 +574.0,Spain,Female,28.0,7.0,0.0,2.0,0.0,0.0,185660.3,0.0 +727.0,Germany,Male,34.0,2.0,146407.11,1.0,1.0,1.0,72073.72,0.0 +699.0,France,Male,64.0,9.0,113109.52,1.0,1.0,0.0,27980.8,0.0 +850.0,France,Male,37.0,6.0,0.0,2.0,1.0,0.0,109291.22,1.0 +461.0,France,Female,28.0,8.0,0.0,1.0,1.0,1.0,103349.74,0.0 +725.0,France,Male,44.0,5.0,0.0,1.0,1.0,1.0,117356.14,1.0 +667.0,Germany,Male,55.0,9.0,154393.43,1.0,1.0,1.0,137674.96,0.0 +800.0,France,Female,40.0,5.0,97764.41,1.0,1.0,0.0,98640.15,0.0 +612.0,France,Female,38.0,7.0,110615.47,1.0,1.0,1.0,193502.93, +628.0,France,Female,31.0,6.0,175443.75,1.0,1.0,0.0,113167.17,0.0 +752.0,Spain,Female,35.0,2.0,0.0,1.0,1.0,0.0,44335.54,0.0 +652.0,France,Female,31.0,3.0,103696.97,3.0,0.0,0.0,155221.05, +743.0,Germany,Female,35.0,1.0,146781.24,1.0,1.0,0.0,189307.7, +533.0,France,Male,47.0,9.0,83347.25,1.0,1.0,1.0,137696.25,0.0 +652.0,France,Female,37.0,4.0,0.0,2.0,1.0,0.0,143393.24,0.0 +681.0,France,Male,29.0,8.0,0.0,1.0,1.0,0.0,66367.33,0.0 +667.0,Spain,Male,39.0,7.0,167557.12,1.0,1.0,1.0,41183.02,0.0 +850.0,Spain,Male,39.0,8.0,0.0,2.0,1.0,1.0,37090.44, +572.0,Germany,Female,54.0,9.0,97382.53,1.0,1.0,1.0,195771.95,0.0 +776.0,Germany,Male,33.0,8.0,115130.34,1.0,0.0,0.0,129525.5,0.0 +660.0,France,Male,37.0,2.0,97324.91,1.0,1.0,0.0,23291.83, +506.0,Spain,Male,32.0,8.0,0.0,2.0,0.0,1.0,182692.8,1.0 +850.0,France,Male,34.0,6.0,0.0,1.0,0.0,1.0,52796.31,0.0 +792.0,Germany,Female,59.0,9.0,101609.77,1.0,0.0,0.0,161479.19,0.0 +635.0,Germany,Female,48.0,4.0,81556.89,2.0,1.0,0.0,191914.37,0.0 +638.0,Germany,Female,39.0,0.0,122501.28,2.0,1.0,1.0,95007.8,0.0 +576.0,France,Male,55.0,9.0,0.0,2.0,1.0,1.0,94450.97,0.0 +633.0,France,Female,60.0,8.0,69365.25,1.0,1.0,1.0,10288.24,1.0 +641.0,France,Female,37.0,2.0,0.0,2.0,1.0,0.0,3939.87, +630.0,France,Female,40.0,0.0,118633.08,1.0,0.0,1.0,60032.46,0.0 +575.0,Germany,Male,49.0,7.0,121205.15,4.0,1.0,1.0,168080.53,1.0 +850.0,Spain,Female,31.0,3.0,121237.65,1.0,1.0,1.0,31022.56,1.0 +651.0,France,Female,32.0,8.0,144581.96,1.0,1.0,1.0,87609.5, +726.0,Spain,Female,56.0,8.0,123110.9,3.0,0.0,1.0,130113.78,1.0 +642.0,France,Male,26.0,0.0,0.0,1.0,0.0,0.0,47472.68,1.0 +850.0,Germany,Male,28.0,4.0,147972.19,1.0,1.0,0.0,60708.72,1.0 +695.0,Spain,Male,39.0,4.0,65521.2,1.0,1.0,1.0,1243.97, +711.0,Germany,Female,53.0,5.0,123805.03,1.0,1.0,0.0,102428.51,0.0 +541.0,France,Male,39.0,7.0,0.0,2.0,1.0,0.0,19823.02, +763.0,France,Male,67.0,1.0,149436.73,2.0,0.0,1.0,106282.74,0.0 +697.0,France,Female,49.0,7.0,195238.29,4.0,0.0,1.0,131083.56, +562.0,France,Male,36.0,6.0,0.0,2.0,1.0,0.0,32845.32,0.0 +557.0,France,Female,46.0,4.0,96173.17,2.0,1.0,1.0,116378.31, +438.0,Germany,Male,59.0,7.0,127197.14,1.0,1.0,0.0,51565.98,0.0 +665.0,Spain,Male,38.0,9.0,0.0,1.0,0.0,1.0,87412.74,0.0 +509.0,Spain,Male,29.0,1.0,0.0,2.0,1.0,0.0,69113.14,0.0 +734.0,Spain,Female,39.0,3.0,92636.96,2.0,1.0,1.0,125671.29,0.0 +674.0,France,Female,45.0,6.0,72494.69,1.0,0.0,1.0,140041.78, +678.0,France,Female,38.0,2.0,0.0,2.0,0.0,0.0,115068.99,0.0 +571.0,Germany,Male,25.0,6.0,82506.72,2.0,1.0,0.0,167705.07,0.0 +623.0,Spain,Female,40.0,4.0,0.0,3.0,1.0,0.0,31669.18,1.0 +428.0,France,Female,62.0,1.0,107735.93,1.0,0.0,1.0,58381.77,0.0 +658.0,France,Female,40.0,7.0,140596.95,1.0,0.0,1.0,135459.02,1.0 +555.0,France,Male,40.0,10.0,139930.18,1.0,1.0,1.0,105720.09,1.0 +604.0,Spain,Female,35.0,7.0,147285.52,1.0,1.0,1.0,57807.05,0.0 +561.0,France,Female,35.0,5.0,0.0,2.0,1.0,0.0,59981.62,0.0 +648.0,Germany,Female,42.0,8.0,121980.56,2.0,1.0,0.0,4027.02,0.0 +602.0,Germany,Female,48.0,7.0,76595.08,2.0,0.0,0.0,127095.14,0.0 +578.0,Spain,Male,28.0,4.0,0.0,2.0,0.0,0.0,6947.09,0.0 +762.0,Germany,Male,46.0,6.0,123571.77,3.0,0.0,1.0,57014.17,1.0 +850.0,France,Female,34.0,9.0,92899.27,2.0,1.0,0.0,97465.89, +652.0,Germany,Female,37.0,9.0,145219.3,1.0,1.0,0.0,159132.83,0.0 +636.0,Germany,Female,37.0,9.0,157098.52,1.0,1.0,1.0,153535.27,0.0 +639.0,Spain,Male,28.0,8.0,0.0,2.0,1.0,0.0,126561.07,0.0 +589.0,Spain,Female,27.0,4.0,0.0,2.0,1.0,0.0,144181.48, +542.0,Spain,Female,26.0,2.0,0.0,2.0,1.0,1.0,54869.54,1.0 +754.0,Spain,Female,27.0,8.0,0.0,2.0,0.0,0.0,121821.16,1.0 +542.0,Spain,Male,37.0,8.0,0.0,1.0,1.0,1.0,807.06, +729.0,France,Male,44.0,5.0,0.0,2.0,0.0,1.0,9200.54,0.0 +702.0,Spain,Male,44.0,9.0,0.0,1.0,0.0,0.0,59207.41, +686.0,Spain,Male,22.0,8.0,0.0,2.0,0.0,0.0,142331.85,0.0 +637.0,Germany,Male,41.0,2.0,138014.4,2.0,1.0,0.0,140298.24,0.0 +624.0,France,Male,36.0,6.0,0.0,2.0,0.0,0.0,84749.96, +792.0,Spain,Male,36.0,5.0,92140.15,1.0,0.0,1.0,67468.67,0.0 +607.0,Germany,Male,39.0,2.0,84468.67,2.0,1.0,1.0,121945.42,0.0 +672.0,France,Male,34.0,6.0,0.0,1.0,0.0,0.0,22736.06,1.0 +592.0,Spain,Male,41.0,0.0,0.0,2.0,1.0,0.0,65906.07,0.0 +743.0,Germany,Female,34.0,1.0,131736.88,1.0,1.0,1.0,108543.21,0.0 +789.0,France,Female,32.0,7.0,69423.52,1.0,1.0,0.0,107499.39,0.0 +603.0,France,Female,39.0,9.0,76769.68,1.0,0.0,0.0,48224.72, +618.0,Germany,Female,40.0,1.0,133245.52,2.0,1.0,1.0,54495.82,1.0 +623.0,Germany,Male,33.0,2.0,80002.33,1.0,1.0,1.0,104079.62,0.0 +524.0,Germany,Female,31.0,8.0,107818.63,1.0,1.0,0.0,199725.39,0.0 +724.0,Germany,Male,31.0,2.0,160997.54,2.0,0.0,1.0,64831.36,1.0 +635.0,Germany,Male,37.0,5.0,113488.68,1.0,1.0,0.0,95611.74,0.0 +620.0,Germany,Female,25.0,1.0,137712.01,1.0,1.0,1.0,76197.05, +588.0,Germany,Female,48.0,1.0,143279.58,2.0,1.0,0.0,31580.8,0.0 +792.0,France,Female,28.0,4.0,130142.79,1.0,1.0,0.0,38190.78, +838.0,France,Female,34.0,8.0,0.0,2.0,1.0,0.0,27472.07,0.0 +827.0,Germany,Female,47.0,8.0,143001.5,2.0,1.0,0.0,108977.5,0.0 +850.0,Germany,Female,35.0,2.0,80931.75,1.0,0.0,0.0,12639.67,0.0 +690.0,France,Male,29.0,5.0,0.0,2.0,1.0,0.0,108577.97,0.0 +431.0,Germany,Male,45.0,5.0,83624.55,2.0,0.0,0.0,36899.62,0.0 +751.0,Spain,Female,37.0,3.0,99773.85,2.0,1.0,0.0,54865.92, +660.0,France,Male,50.0,1.0,0.0,3.0,1.0,1.0,191849.15,0.0 +744.0,Spain,Male,36.0,2.0,153804.44,1.0,1.0,1.0,87213.33,0.0 +701.0,Germany,Male,63.0,3.0,120916.52,3.0,0.0,0.0,144727.45, +457.0,France,Male,40.0,10.0,134320.23,2.0,1.0,0.0,150757.35, +790.0,Germany,Female,34.0,2.0,164011.48,1.0,1.0,0.0,199420.41,0.0 +729.0,Spain,Female,28.0,0.0,0.0,2.0,1.0,1.0,31165.06,0.0 +850.0,Germany,Male,42.0,8.0,119839.69,1.0,0.0,1.0,51016.02,0.0 +669.0,France,Male,45.0,7.0,149364.58,1.0,0.0,1.0,173454.07,0.0 +850.0,France,Female,39.0,2.0,148586.64,1.0,1.0,1.0,176791.27,1.0 +749.0,Germany,Male,54.0,3.0,144768.94,1.0,1.0,0.0,93336.3,0.0 +575.0,Spain,Female,31.0,6.0,0.0,2.0,1.0,1.0,95686.42,0.0 +735.0,France,Female,21.0,1.0,178718.19,2.0,1.0,0.0,22388.0,1.0 +599.0,Germany,Male,25.0,7.0,108380.72,1.0,1.0,1.0,79005.95,0.0 +539.0,France,Female,47.0,2.0,127286.04,2.0,1.0,1.0,166929.43,0.0 +602.0,France,Female,42.0,10.0,0.0,2.0,0.0,0.0,169921.11,0.0 +712.0,Spain,Female,79.0,5.0,108078.56,1.0,1.0,1.0,174118.93,0.0 +676.0,France,Female,34.0,8.0,100359.54,1.0,0.0,0.0,46038.28, +703.0,Germany,Male,39.0,1.0,141559.5,1.0,1.0,1.0,31257.1, +850.0,Germany,Female,39.0,5.0,114491.82,1.0,1.0,0.0,99689.48,0.0 +793.0,Spain,Male,29.0,8.0,96674.55,2.0,0.0,0.0,192120.66,0.0 +717.0,France,Female,36.0,2.0,99472.76,2.0,1.0,0.0,94274.72,0.0 +655.0,Spain,Female,56.0,5.0,0.0,2.0,1.0,1.0,41782.7,0.0 +698.0,Spain,Female,40.0,0.0,92053.44,1.0,1.0,1.0,143681.83,0.0 +738.0,France,Female,26.0,3.0,0.0,2.0,1.0,0.0,67484.16,0.0 +492.0,France,Male,39.0,7.0,0.0,2.0,0.0,1.0,71323.23,0.0 +597.0,France,Male,61.0,5.0,0.0,2.0,1.0,1.0,81299.17, +533.0,France,Male,36.0,7.0,85311.7,1.0,0.0,1.0,156731.91,0.0 +673.0,Germany,Male,47.0,1.0,183579.54,2.0,0.0,1.0,34047.54, +803.0,France,Male,28.0,3.0,0.0,2.0,1.0,0.0,159654.0,1.0 +623.0,Spain,Male,41.0,2.0,142412.13,1.0,1.0,0.0,28778.98, +751.0,Germany,Male,36.0,5.0,73194.99,1.0,1.0,1.0,89222.66,0.0 +633.0,Germany,Male,30.0,2.0,109786.82,2.0,1.0,1.0,139712.81,0.0 +834.0,France,Female,28.0,6.0,0.0,1.0,1.0,0.0,74287.53,0.0 +525.0,Spain,Female,25.0,10.0,0.0,2.0,1.0,0.0,69361.95,0.0 +732.0,France,Female,34.0,8.0,122338.43,2.0,1.0,0.0,187985.85,0.0 +677.0,Spain,Male,56.0,5.0,123959.97,1.0,1.0,1.0,60590.72,0.0 +488.0,France,Female,36.0,0.0,0.0,2.0,1.0,0.0,136675.22,0.0 +743.0,Spain,Male,35.0,6.0,79388.33,1.0,1.0,1.0,193360.69,1.0 +772.0,Spain,Male,41.0,10.0,96032.22,1.0,1.0,1.0,75825.57, +821.0,Germany,Male,42.0,3.0,87807.29,2.0,1.0,1.0,64613.81, +850.0,France,Male,33.0,7.0,140956.99,1.0,0.0,0.0,3510.18,0.0 +783.0,France,Male,38.0,9.0,114135.17,1.0,1.0,0.0,153269.98, +559.0,Spain,Male,25.0,5.0,0.0,2.0,1.0,1.0,163221.22,0.0 +632.0,Spain,Female,29.0,7.0,80922.75,1.0,1.0,0.0,7820.78,0.0 +577.0,Spain,Male,43.0,6.0,0.0,2.0,1.0,1.0,149457.81,0.0 +848.0,Spain,Male,40.0,3.0,110929.96,1.0,1.0,1.0,30876.84,0.0 +706.0,Spain,Male,53.0,7.0,0.0,2.0,0.0,1.0,117939.17, +531.0,Spain,Female,36.0,9.0,99240.51,1.0,1.0,0.0,123137.01,0.0 +640.0,Spain,Male,39.0,3.0,0.0,1.0,1.0,1.0,105997.25,1.0 +850.0,France,Female,30.0,3.0,0.0,2.0,1.0,0.0,116692.8, +452.0,France,Male,35.0,4.0,148172.44,1.0,1.0,1.0,4175.68,0.0 +516.0,Germany,Female,53.0,1.0,156674.2,1.0,1.0,0.0,118502.34,0.0 +603.0,France,Male,46.0,2.0,0.0,2.0,1.0,1.0,59563.49,0.0 +814.0,Germany,Male,44.0,8.0,95488.82,2.0,0.0,0.0,107013.59,0.0 +684.0,France,Male,54.0,6.0,0.0,2.0,1.0,1.0,94888.6,0.0 +663.0,Germany,Female,46.0,6.0,95439.4,1.0,1.0,1.0,21038.58, +794.0,Spain,Male,31.0,0.0,144880.34,2.0,0.0,1.0,175643.44,0.0 +687.0,France,Female,35.0,3.0,99587.43,1.0,1.0,1.0,1713.1,0.0 +731.0,Spain,Male,41.0,4.0,0.0,2.0,1.0,0.0,22299.27,0.0 +499.0,Germany,Female,29.0,6.0,148051.52,1.0,1.0,0.0,118623.94,1.0 +640.0,France,Male,33.0,7.0,154575.76,1.0,1.0,0.0,25722.28,1.0 +815.0,France,Male,24.0,7.0,171922.72,1.0,0.0,1.0,178028.96,1.0 +497.0,France,Male,32.0,8.0,0.0,2.0,1.0,0.0,67364.42,0.0 +600.0,France,Male,37.0,1.0,142663.46,1.0,0.0,1.0,88669.89,0.0 +696.0,Spain,Male,40.0,3.0,153639.11,1.0,1.0,1.0,138351.68,0.0 +714.0,France,Male,63.0,4.0,138082.16,1.0,0.0,1.0,166677.54,0.0 +698.0,France,Female,51.0,6.0,144237.91,4.0,1.0,0.0,157143.61,0.0 +575.0,Spain,Female,26.0,7.0,0.0,2.0,1.0,0.0,112507.63,0.0 +495.0,France,Male,47.0,10.0,137682.68,1.0,1.0,0.0,71071.47, +520.0,Spain,Female,30.0,4.0,145222.99,2.0,0.0,0.0,145160.96,0.0 +545.0,Spain,Female,74.0,3.0,0.0,2.0,1.0,1.0,161326.73,0.0 +634.0,Spain,Female,35.0,10.0,0.0,1.0,1.0,0.0,82634.41,0.0 +772.0,Germany,Male,30.0,6.0,99785.28,2.0,0.0,0.0,197238.03,0.0 +727.0,Germany,Male,40.0,1.0,93051.64,2.0,1.0,0.0,71865.31,1.0 +744.0,Spain,Male,35.0,7.0,0.0,2.0,1.0,1.0,43036.6, +602.0,France,Male,34.0,5.0,0.0,2.0,1.0,1.0,77414.45,1.0 +534.0,France,Female,34.0,7.0,121551.58,2.0,1.0,1.0,70179.0,1.0 +781.0,Spain,Male,35.0,1.0,0.0,2.0,0.0,0.0,42117.9, +698.0,France,Male,41.0,3.0,90605.29,1.0,1.0,1.0,14357.0,0.0 +728.0,France,Female,34.0,6.0,90425.15,2.0,1.0,1.0,11597.69, +553.0,Spain,Male,42.0,7.0,0.0,2.0,1.0,0.0,7680.23,0.0 +778.0,France,Male,38.0,3.0,145018.49,2.0,1.0,1.0,126702.41,0.0 +619.0,France,Female,40.0,10.0,0.0,1.0,1.0,1.0,147093.84,0.0 +634.0,Germany,Female,56.0,3.0,116251.24,1.0,0.0,1.0,42429.88,1.0 +529.0,Spain,Male,35.0,5.0,95772.97,1.0,1.0,1.0,112781.5,0.0 +625.0,Germany,Male,42.0,6.0,100047.33,1.0,1.0,0.0,93429.95,0.0 +523.0,Spain,Male,32.0,4.0,0.0,2.0,1.0,0.0,167848.02,0.0 +494.0,Spain,Male,67.0,5.0,0.0,2.0,1.0,1.0,85890.16,0.0 +680.0,France,Male,31.0,9.0,0.0,2.0,1.0,0.0,36145.53,0.0 +636.0,Germany,Female,48.0,3.0,120568.41,1.0,1.0,0.0,190160.04,0.0 +797.0,Germany,Female,33.0,10.0,83555.58,1.0,0.0,0.0,69767.14,0.0 +556.0,France,Male,35.0,10.0,0.0,2.0,1.0,1.0,192751.18,0.0 +718.0,France,Male,48.0,9.0,0.0,2.0,1.0,1.0,72105.63,0.0 +547.0,France,Female,38.0,5.0,167539.97,1.0,0.0,1.0,159207.34,0.0 +710.0,Spain,Female,31.0,5.0,0.0,2.0,1.0,0.0,9561.73,0.0 +757.0,Germany,Female,30.0,6.0,161378.02,1.0,0.0,0.0,71926.28,0.0 +666.0,Germany,Male,38.0,6.0,99812.88,2.0,1.0,1.0,158357.97,0.0 +696.0,Spain,Male,41.0,9.0,127523.75,1.0,0.0,1.0,191417.42,0.0 +591.0,France,Male,43.0,3.0,0.0,2.0,0.0,1.0,198926.36,0.0 +767.0,Spain,Male,31.0,6.0,0.0,2.0,1.0,1.0,195668.0,0.0 +771.0,France,Female,41.0,10.0,108309.0,4.0,1.0,1.0,137510.41, +510.0,Germany,Female,44.0,4.0,123070.89,1.0,1.0,0.0,28461.29, +512.0,France,Female,41.0,8.0,145150.28,1.0,1.0,0.0,64869.32,0.0 +570.0,France,Male,39.0,10.0,129674.89,2.0,1.0,0.0,80552.36,0.0 +603.0,Germany,Male,26.0,4.0,109166.37,1.0,1.0,1.0,92840.67,0.0 +512.0,France,Female,75.0,2.0,0.0,1.0,1.0,0.0,123304.62,1.0 +505.0,France,Female,36.0,2.0,79951.9,1.0,0.0,1.0,174123.16,0.0 +602.0,Germany,Male,35.0,7.0,90602.42,2.0,1.0,1.0,51695.41, +507.0,Germany,Male,31.0,9.0,111589.67,1.0,1.0,0.0,150037.19,0.0 +716.0,France,Female,52.0,7.0,65971.61,2.0,1.0,0.0,14608.0,0.0 +583.0,Spain,Female,40.0,3.0,54428.37,1.0,1.0,0.0,109638.78,0.0 +710.0,Germany,Male,58.0,7.0,170113.0,2.0,0.0,1.0,10494.64,0.0 +763.0,France,Male,40.0,3.0,0.0,2.0,1.0,0.0,134281.11,0.0 +678.0,Germany,Female,37.0,2.0,113383.07,1.0,1.0,1.0,135123.96, +656.0,France,Female,75.0,3.0,0.0,2.0,1.0,1.0,1276.87,1.0 +702.0,France,Male,34.0,4.0,100054.77,1.0,1.0,0.0,109496.45,0.0 +498.0,France,Male,34.0,5.0,0.0,2.0,1.0,1.0,91711.66,0.0 +539.0,France,Male,37.0,2.0,127609.59,1.0,1.0,0.0,98646.22,0.0 +636.0,France,Male,42.0,2.0,0.0,2.0,1.0,1.0,55470.78,1.0 +681.0,France,Female,37.0,7.0,69609.85,1.0,1.0,1.0,72127.83,0.0 +666.0,France,Female,59.0,5.0,0.0,2.0,1.0,1.0,185123.09,0.0 +676.0,France,Female,34.0,8.0,82909.14,1.0,1.0,0.0,91817.38,1.0 +725.0,France,Female,31.0,6.0,0.0,1.0,0.0,0.0,61326.43,1.0 +839.0,Germany,Male,47.0,2.0,136911.07,1.0,1.0,1.0,168184.62,1.0 +765.0,France,Male,42.0,4.0,123311.39,2.0,1.0,1.0,82868.34, +842.0,France,Male,44.0,3.0,141252.18,4.0,0.0,1.0,128521.16,0.0 +598.0,Germany,Female,50.0,5.0,88379.81,3.0,0.0,1.0,64157.24, +629.0,Spain,Female,44.0,6.0,125512.98,2.0,0.0,0.0,79082.76,1.0 +667.0,France,Male,43.0,8.0,190227.46,1.0,1.0,0.0,97508.04,1.0 +765.0,Germany,Male,34.0,5.0,86055.17,2.0,1.0,1.0,104220.5,1.0 +790.0,Spain,Male,37.0,6.0,0.0,2.0,1.0,1.0,119484.01,1.0 +554.0,Spain,Male,30.0,6.0,135370.12,1.0,1.0,1.0,179689.05,0.0 +672.0,Germany,Male,68.0,0.0,126061.51,2.0,1.0,1.0,184936.77,0.0 +524.0,Spain,Female,32.0,6.0,0.0,1.0,1.0,1.0,132861.9, +554.0,France,Female,44.0,9.0,135814.7,2.0,0.0,0.0,115091.38,0.0 +460.0,France,Female,27.0,7.0,0.0,2.0,1.0,0.0,156150.08,0.0 +704.0,Germany,Female,39.0,1.0,124640.51,1.0,1.0,0.0,116511.12,1.0 +637.0,Germany,Female,55.0,1.0,123378.2,1.0,1.0,0.0,81431.99,1.0 +410.0,France,Female,35.0,7.0,117183.74,1.0,1.0,1.0,109733.73,0.0 +656.0,Germany,Female,27.0,3.0,150905.03,2.0,1.0,0.0,16998.72,0.0 +550.0,France,Male,57.0,5.0,0.0,1.0,1.0,1.0,133501.94,0.0 +527.0,Spain,Male,37.0,5.0,93722.73,2.0,1.0,1.0,139093.73,0.0 +582.0,Germany,Male,41.0,6.0,70349.48,2.0,0.0,1.0,178074.04,1.0 +753.0,France,Male,35.0,3.0,0.0,2.0,1.0,1.0,184843.77,0.0 +520.0,France,Female,46.0,10.0,85216.61,1.0,1.0,0.0,117369.52, +604.0,France,Female,40.0,1.0,0.0,2.0,1.0,0.0,123207.17,0.0 +777.0,France,Male,36.0,7.0,0.0,1.0,1.0,0.0,106472.34,0.0 +718.0,France,Female,31.0,0.0,118100.59,2.0,1.0,0.0,103165.15,0.0 +777.0,France,Female,29.0,9.0,131240.61,1.0,1.0,1.0,163746.09,0.0 +730.0,France,Female,27.0,7.0,0.0,2.0,1.0,0.0,144099.48, +633.0,France,Female,33.0,3.0,0.0,2.0,1.0,0.0,191111.02,1.0 +615.0,France,Male,32.0,7.0,92199.84,1.0,1.0,1.0,2755.53,0.0 +646.0,Germany,Male,39.0,9.0,111574.41,1.0,1.0,1.0,30838.51,0.0 +795.0,France,Female,40.0,2.0,101891.1,1.0,1.0,1.0,183044.86, +521.0,Germany,Female,49.0,2.0,127948.57,1.0,1.0,1.0,182765.14, +850.0,Germany,Male,36.0,5.0,119984.07,1.0,1.0,0.0,191535.11,0.0 +606.0,Spain,Male,35.0,7.0,0.0,1.0,1.0,0.0,106837.06,0.0 +748.0,France,Male,40.0,0.0,0.0,1.0,0.0,0.0,60416.76,0.0 +644.0,Spain,Male,26.0,8.0,96659.64,2.0,1.0,1.0,138775.69, +747.0,Spain,Male,41.0,9.0,0.0,1.0,1.0,0.0,32430.94,0.0 +741.0,France,Female,64.0,2.0,69311.16,1.0,1.0,1.0,59237.72,1.0 +491.0,Spain,Female,61.0,8.0,0.0,2.0,0.0,1.0,139861.53,0.0 +688.0,Spain,Female,46.0,3.0,0.0,2.0,0.0,1.0,104902.68,0.0 +799.0,Germany,Female,39.0,7.0,167395.6,2.0,0.0,1.0,139537.43, +445.0,Germany,Female,38.0,6.0,119413.62,2.0,1.0,0.0,175756.36,0.0 +730.0,Germany,Female,37.0,5.0,124053.03,1.0,1.0,0.0,118591.67,0.0 +767.0,France,Male,48.0,9.0,0.0,2.0,0.0,1.0,175458.21, +564.0,Spain,Male,31.0,5.0,121461.87,1.0,1.0,1.0,20432.09,0.0 +534.0,Spain,Male,35.0,4.0,0.0,2.0,0.0,0.0,9541.15, +769.0,France,Male,29.0,8.0,0.0,2.0,1.0,1.0,172290.61,1.0 +644.0,Germany,Male,34.0,9.0,112746.54,2.0,0.0,0.0,141230.07,0.0 +850.0,Germany,Female,36.0,3.0,169025.83,1.0,1.0,0.0,174235.06,0.0 +603.0,France,Male,40.0,4.0,102833.46,2.0,1.0,1.0,38829.11,1.0 +711.0,France,Female,29.0,9.0,0.0,2.0,0.0,1.0,3234.8,1.0 +670.0,Spain,Female,57.0,3.0,175575.95,2.0,1.0,0.0,99061.75, +683.0,France,Male,25.0,4.0,0.0,2.0,1.0,0.0,152698.24,0.0 +584.0,Spain,Female,29.0,4.0,0.0,2.0,1.0,0.0,88866.92,0.0 +513.0,Spain,Male,39.0,7.0,89039.9,2.0,1.0,1.0,146738.83,0.0 +623.0,France,Male,28.0,7.0,0.0,1.0,0.0,0.0,129526.57, +850.0,Germany,Male,32.0,2.0,128647.98,2.0,0.0,0.0,54416.18,0.0 +515.0,Spain,Male,29.0,4.0,151012.55,2.0,1.0,0.0,9770.97,0.0 +656.0,Germany,Male,68.0,7.0,153545.11,1.0,1.0,1.0,186574.68, +700.0,Germany,Female,39.0,5.0,144550.83,2.0,1.0,1.0,189664.43,0.0 +597.0,France,Female,42.0,4.0,64740.12,1.0,1.0,1.0,106841.12,0.0 +690.0,France,Female,26.0,3.0,118097.87,1.0,1.0,0.0,61257.83,0.0 +458.0,Germany,Female,43.0,1.0,106870.12,2.0,1.0,0.0,100564.37, +581.0,France,Male,41.0,8.0,0.0,2.0,0.0,0.0,29737.14,0.0 +762.0,Spain,Female,60.0,10.0,168920.75,1.0,1.0,0.0,31445.03,0.0 +574.0,France,Female,39.0,5.0,119013.86,1.0,1.0,0.0,103421.91, +730.0,Germany,Female,33.0,7.0,130367.87,1.0,1.0,0.0,15142.1, +709.0,Germany,Male,30.0,9.0,115479.48,2.0,1.0,1.0,134732.99,0.0 +613.0,France,Male,41.0,7.0,0.0,2.0,1.0,0.0,60297.72,0.0 +645.0,Germany,Male,43.0,9.0,140121.17,1.0,1.0,0.0,11302.7, +835.0,Germany,Male,18.0,2.0,142872.36,1.0,1.0,1.0,117632.63, +545.0,France,Male,30.0,3.0,0.0,2.0,1.0,0.0,170307.43,1.0 +612.0,France,Female,42.0,10.0,75497.51,1.0,0.0,0.0,149682.78,1.0 +655.0,France,Female,20.0,7.0,134397.61,1.0,0.0,0.0,28029.54,0.0 +658.0,Germany,Male,29.0,5.0,75395.53,2.0,0.0,1.0,54914.92,0.0 +489.0,Spain,Male,58.0,4.0,0.0,2.0,1.0,1.0,191419.32,0.0 +810.0,Germany,Male,35.0,3.0,96814.46,2.0,1.0,1.0,120511.03,1.0 +620.0,Spain,Male,21.0,9.0,0.0,2.0,0.0,0.0,154882.79,0.0 +543.0,Germany,Male,30.0,6.0,73481.05,1.0,1.0,1.0,176692.65,0.0 +603.0,Spain,Male,57.0,6.0,105000.85,2.0,1.0,1.0,87412.24, +507.0,France,Female,33.0,1.0,113452.66,1.0,0.0,0.0,142911.99,0.0 +350.0,France,Female,40.0,0.0,111098.85,1.0,1.0,1.0,172321.21, +718.0,France,Female,67.0,7.0,0.0,3.0,1.0,1.0,82782.08,0.0 +850.0,Spain,Male,38.0,1.0,146343.98,1.0,0.0,1.0,103902.11,0.0 +608.0,France,Female,30.0,8.0,85859.76,1.0,0.0,0.0,142730.27,0.0 +635.0,France,Female,78.0,6.0,47536.4,1.0,1.0,1.0,119400.08,0.0 +656.0,Germany,Female,46.0,7.0,141535.52,1.0,1.0,0.0,50595.15,0.0 +594.0,France,Female,49.0,4.0,0.0,2.0,1.0,1.0,23631.55,0.0 +714.0,Spain,Male,29.0,4.0,0.0,2.0,1.0,1.0,37605.9, +664.0,France,Male,55.0,8.0,0.0,2.0,1.0,1.0,139161.64,0.0 +492.0,France,Male,29.0,1.0,144591.96,1.0,1.0,1.0,196293.76,0.0 +678.0,France,Female,35.0,4.0,0.0,1.0,1.0,0.0,125518.32,0.0 +569.0,Spain,Male,35.0,3.0,116969.35,1.0,0.0,0.0,94488.82,1.0 +694.0,Spain,Male,39.0,0.0,107042.74,1.0,1.0,1.0,102284.2,0.0 +632.0,France,Male,41.0,0.0,106134.46,1.0,0.0,1.0,105570.39,0.0 +662.0,France,Male,26.0,0.0,0.0,2.0,0.0,1.0,72929.96, +651.0,Germany,Female,41.0,4.0,133432.59,1.0,0.0,1.0,151303.48,1.0 +597.0,France,Female,29.0,5.0,0.0,2.0,1.0,1.0,174825.57, +684.0,France,Male,38.0,5.0,105069.98,2.0,1.0,1.0,198355.28,0.0 +689.0,France,Male,34.0,1.0,165312.27,1.0,1.0,0.0,155495.63,0.0 +643.0,Spain,Male,34.0,3.0,83132.09,1.0,1.0,1.0,21360.88,1.0 +651.0,France,Male,35.0,7.0,74623.5,3.0,1.0,0.0,129451.29,0.0 +573.0,France,Female,36.0,1.0,0.0,1.0,1.0,1.0,56905.38,0.0 +600.0,France,Male,31.0,8.0,0.0,2.0,1.0,1.0,121555.51, +458.0,Spain,Female,35.0,5.0,166492.48,1.0,1.0,0.0,135287.74,0.0 +739.0,France,Male,58.0,2.0,101579.28,1.0,1.0,1.0,72168.53, +596.0,Spain,Female,29.0,6.0,0.0,2.0,1.0,0.0,116696.77,0.0 +521.0,Germany,Female,61.0,0.0,125193.96,1.0,1.0,1.0,109356.53,0.0 +803.0,France,Female,32.0,9.0,192122.84,1.0,1.0,1.0,54277.45,1.0 +794.0,Spain,Female,46.0,8.0,134593.79,1.0,1.0,1.0,46386.37,0.0 +460.0,Germany,Male,46.0,4.0,127559.97,2.0,1.0,1.0,126952.5,0.0 +688.0,Germany,Male,29.0,9.0,144553.5,2.0,1.0,0.0,143454.95, +641.0,France,Female,36.0,5.0,66392.64,1.0,1.0,0.0,31106.67,0.0 +627.0,France,Female,35.0,7.0,0.0,2.0,0.0,1.0,193022.44,0.0 +686.0,Germany,Female,27.0,1.0,115095.88,2.0,0.0,0.0,78622.46,0.0 +777.0,France,Female,28.0,2.0,134571.5,1.0,0.0,1.0,118313.38,0.0 +814.0,France,Female,31.0,4.0,0.0,2.0,1.0,1.0,142029.17,1.0 +564.0,Germany,Female,44.0,3.0,111760.4,3.0,1.0,1.0,104722.47,0.0 +513.0,France,Female,45.0,0.0,164649.52,3.0,1.0,0.0,49915.52,0.0 +619.0,Germany,Female,41.0,5.0,92467.58,1.0,1.0,0.0,38270.47,0.0 +537.0,Spain,Male,42.0,1.0,190569.23,1.0,0.0,1.0,127154.8,0.0 +682.0,France,Male,30.0,4.0,0.0,1.0,0.0,1.0,161465.31,1.0 +521.0,Germany,Female,29.0,2.0,87212.8,1.0,1.0,1.0,994.86, +850.0,France,Male,63.0,8.0,169832.57,1.0,0.0,0.0,184107.26,0.0 +620.0,Spain,Male,31.0,2.0,166833.86,2.0,1.0,1.0,135171.6,0.0 +682.0,France,Female,35.0,2.0,181166.44,1.0,1.0,1.0,63737.19,1.0 +461.0,Germany,Female,34.0,5.0,63663.93,1.0,0.0,1.0,167784.28,0.0 +834.0,France,Male,23.0,4.0,131254.81,1.0,1.0,0.0,20199.3,0.0 +724.0,Spain,Male,45.0,5.0,83888.54,1.0,0.0,1.0,34121.81,0.0 +636.0,France,Male,36.0,5.0,117559.05,2.0,1.0,1.0,111573.3, +842.0,Germany,Female,35.0,9.0,119948.09,1.0,1.0,0.0,48217.97,0.0 +515.0,France,Female,66.0,6.0,0.0,2.0,1.0,1.0,160663.11,0.0 +750.0,France,Female,37.0,6.0,0.0,1.0,1.0,1.0,117948.0,0.0 +619.0,Germany,Male,41.0,3.0,147974.16,2.0,1.0,0.0,170518.83,0.0 +526.0,Germany,Male,50.0,5.0,124233.24,1.0,0.0,1.0,159456.87,1.0 +660.0,Germany,Male,35.0,9.0,113948.58,1.0,1.0,0.0,188891.96,1.0 +679.0,Germany,Female,32.0,0.0,88335.05,1.0,0.0,0.0,159584.81,0.0 +608.0,France,Male,31.0,7.0,79962.92,2.0,1.0,0.0,60901.72,1.0 +585.0,Spain,Female,44.0,4.0,0.0,2.0,0.0,1.0,101728.46,1.0 +526.0,France,Male,52.0,8.0,93590.47,1.0,0.0,1.0,21228.71,0.0 +684.0,Germany,Male,59.0,9.0,122471.09,1.0,0.0,1.0,15807.07,0.0 +580.0,Germany,Male,45.0,8.0,103741.14,1.0,1.0,0.0,47428.73,0.0 +591.0,France,Male,42.0,9.0,161651.37,2.0,1.0,1.0,131753.97,0.0 +673.0,France,Male,59.0,0.0,178058.06,2.0,0.0,1.0,21063.71,1.0 +521.0,France,Male,25.0,7.0,0.0,2.0,1.0,1.0,157878.67,0.0 +648.0,France,Female,37.0,7.0,0.0,2.0,1.0,0.0,194238.92,0.0 +444.0,France,Female,40.0,5.0,84350.07,1.0,1.0,0.0,143835.76,0.0 +642.0,France,Female,41.0,7.0,115171.71,1.0,1.0,1.0,37674.47, +730.0,France,Male,39.0,1.0,116537.6,1.0,0.0,0.0,145679.6,0.0 +785.0,France,Female,40.0,3.0,0.0,2.0,1.0,1.0,96832.82,0.0 +513.0,Spain,Female,41.0,9.0,107135.04,2.0,1.0,1.0,160546.58,0.0 +850.0,France,Male,36.0,3.0,0.0,2.0,1.0,0.0,195033.07,0.0 +568.0,France,Male,30.0,8.0,73054.37,2.0,1.0,1.0,27012.0,0.0 +707.0,France,Male,33.0,2.0,0.0,2.0,0.0,0.0,130866.95, +532.0,France,Female,40.0,5.0,0.0,2.0,0.0,1.0,177099.71,1.0 +663.0,Spain,Male,35.0,5.0,0.0,2.0,1.0,1.0,62634.94, +659.0,Spain,Male,78.0,2.0,151675.65,1.0,0.0,1.0,49978.67, +554.0,France,Female,39.0,10.0,160132.75,1.0,1.0,0.0,32824.15, +577.0,France,Male,42.0,9.0,0.0,1.0,1.0,0.0,74077.91,1.0 +627.0,France,Female,32.0,1.0,0.0,1.0,1.0,0.0,106851.7,0.0 +541.0,France,Male,46.0,6.0,0.0,2.0,1.0,1.0,83456.67,0.0 +640.0,Spain,Male,36.0,4.0,0.0,1.0,0.0,0.0,173016.46,0.0 +701.0,France,Male,37.0,1.0,0.0,2.0,1.0,0.0,163457.55, +630.0,France,Male,53.0,5.0,138053.67,1.0,0.0,1.0,114110.97,0.0 +813.0,France,Female,62.0,10.0,64667.95,2.0,0.0,1.0,140454.14,1.0 +650.0,France,Female,39.0,4.0,0.0,2.0,0.0,0.0,186275.7,0.0 +723.0,France,Male,34.0,5.0,0.0,2.0,0.0,1.0,12092.03,0.0 +812.0,France,Male,24.0,10.0,0.0,2.0,1.0,1.0,156906.15,1.0 +561.0,Germany,Female,49.0,1.0,102025.32,1.0,1.0,0.0,133051.64,0.0 +531.0,France,Female,42.0,2.0,0.0,2.0,0.0,1.0,90537.47,0.0 +790.0,Spain,Male,29.0,3.0,46057.96,2.0,1.0,1.0,189777.66, +543.0,France,Male,43.0,9.0,0.0,2.0,1.0,1.0,78858.07,0.0 +524.0,France,Male,52.0,2.0,87894.26,1.0,1.0,0.0,173899.42,0.0 +531.0,Germany,Female,64.0,2.0,175754.87,2.0,1.0,1.0,60721.4,0.0 +728.0,France,Female,59.0,4.0,0.0,1.0,1.0,1.0,163365.85,0.0 +568.0,France,Male,33.0,7.0,0.0,2.0,1.0,0.0,143450.61, +633.0,Spain,Male,33.0,4.0,137847.41,2.0,1.0,0.0,98349.13,0.0 +669.0,Spain,Female,33.0,8.0,0.0,2.0,0.0,1.0,128538.05,0.0 +826.0,France,Male,55.0,4.0,115285.85,1.0,1.0,0.0,140126.17,0.0 +655.0,Spain,Female,36.0,1.0,135515.76,1.0,1.0,0.0,86013.96,1.0 +600.0,Germany,Male,43.0,8.0,133379.41,1.0,1.0,0.0,177378.66,1.0 +794.0,Spain,Female,37.0,9.0,0.0,2.0,1.0,0.0,68008.85, +840.0,Spain,Female,36.0,6.0,0.0,2.0,1.0,0.0,141364.27,0.0 +512.0,France,Female,36.0,3.0,84327.77,2.0,1.0,0.0,17675.36,1.0 +712.0,Spain,Female,44.0,2.0,0.0,2.0,0.0,0.0,45738.94,0.0 +612.0,Spain,Female,36.0,5.0,119799.27,2.0,1.0,0.0,159416.58,1.0 +449.0,Spain,Male,32.0,0.0,155619.36,1.0,1.0,1.0,166692.03,0.0 +661.0,Germany,Male,37.0,7.0,109908.06,2.0,1.0,0.0,115037.67,1.0 +651.0,France,Female,39.0,8.0,0.0,1.0,1.0,0.0,137452.57,0.0 +642.0,France,Male,40.0,8.0,109219.83,1.0,1.0,0.0,52827.51,0.0 +599.0,Spain,Female,39.0,4.0,0.0,1.0,1.0,0.0,194273.2,0.0 +639.0,Germany,Male,27.0,3.0,150795.81,1.0,0.0,1.0,85208.93,0.0 +706.0,Spain,Male,38.0,8.0,0.0,2.0,0.0,1.0,46635.11,0.0 +737.0,Germany,Female,45.0,2.0,99169.67,2.0,1.0,1.0,78650.95,0.0 +850.0,Spain,Male,22.0,2.0,0.0,2.0,1.0,1.0,9684.52,0.0 +697.0,Spain,Male,56.0,5.0,110802.03,1.0,1.0,1.0,50230.31,1.0 +625.0,Spain,Female,31.0,8.0,0.0,2.0,1.0,0.0,151843.54,0.0 +725.0,France,Male,41.0,7.0,113980.21,1.0,1.0,1.0,116704.25,0.0 +758.0,Spain,Male,40.0,3.0,0.0,2.0,0.0,0.0,96097.65,0.0 +544.0,France,Male,64.0,9.0,113829.45,1.0,1.0,1.0,124341.49,0.0 +850.0,Spain,Male,39.0,6.0,206014.94,2.0,0.0,1.0,42774.84,0.0 +527.0,France,Female,25.0,6.0,0.0,2.0,0.0,1.0,96758.58,0.0 +581.0,Spain,Female,50.0,4.0,0.0,2.0,1.0,1.0,80701.72,0.0 +429.0,France,Female,27.0,6.0,117307.44,2.0,1.0,1.0,24020.49,0.0 +613.0,Germany,Female,30.0,5.0,131563.88,2.0,1.0,0.0,170638.98,1.0 +841.0,Spain,Male,28.0,4.0,0.0,2.0,1.0,1.0,179436.6, +665.0,Spain,Male,41.0,8.0,0.0,2.0,1.0,0.0,132152.32,0.0 +600.0,Germany,Male,57.0,9.0,138456.03,2.0,1.0,1.0,103548.25,0.0 +763.0,France,Female,23.0,2.0,0.0,2.0,1.0,0.0,153983.99, +730.0,Germany,Male,38.0,0.0,38848.19,2.0,0.0,0.0,94003.11,0.0 +733.0,France,Female,44.0,6.0,168165.84,1.0,0.0,1.0,197193.49,0.0 +575.0,Spain,Male,41.0,2.0,100062.39,1.0,0.0,0.0,126307.25,1.0 +711.0,France,Female,21.0,0.0,82844.33,2.0,0.0,1.0,1408.68,0.0 +712.0,Spain,Female,48.0,8.0,0.0,2.0,1.0,0.0,183235.33,0.0 +769.0,Germany,Male,34.0,7.0,115101.5,1.0,0.0,0.0,57841.89, +715.0,Germany,Male,42.0,2.0,88120.97,2.0,1.0,1.0,21333.22,0.0 +793.0,France,Male,56.0,8.0,119496.25,2.0,1.0,0.0,29880.99,1.0 +539.0,France,Male,38.0,5.0,0.0,2.0,1.0,0.0,47388.41,0.0 +589.0,Germany,Female,20.0,2.0,121093.29,2.0,1.0,0.0,3529.72,0.0 +358.0,Spain,Female,52.0,8.0,143542.36,3.0,1.0,0.0,141959.11,0.0 +782.0,France,Male,39.0,8.0,0.0,2.0,1.0,1.0,33949.67,0.0 +813.0,Germany,Male,27.0,6.0,111348.15,1.0,1.0,0.0,46422.46, +791.0,France,Female,44.0,5.0,0.0,2.0,1.0,1.0,123977.86,0.0 +554.0,France,Female,48.0,7.0,0.0,2.0,1.0,1.0,63708.07,0.0 +653.0,Germany,Male,31.0,2.0,154741.45,2.0,0.0,0.0,25183.01,1.0 +630.0,Germany,Female,23.0,4.0,137964.51,1.0,0.0,1.0,174570.55, +686.0,France,Male,34.0,6.0,146178.13,2.0,1.0,1.0,88837.11,0.0 +800.0,France,Female,38.0,2.0,168190.33,2.0,1.0,0.0,68052.08,0.0 +697.0,France,Male,40.0,4.0,0.0,2.0,0.0,1.0,26543.28, +617.0,France,Female,26.0,2.0,165947.99,2.0,0.0,1.0,168834.38, +721.0,Germany,Male,40.0,6.0,100275.88,1.0,1.0,0.0,138564.48,0.0 +637.0,France,Male,33.0,5.0,0.0,2.0,1.0,0.0,139947.17,0.0 +559.0,France,Male,28.0,3.0,141099.43,1.0,1.0,1.0,15607.27, +654.0,France,Male,42.0,7.0,99263.09,1.0,1.0,1.0,67607.9,0.0 +514.0,France,Male,38.0,4.0,112230.38,1.0,1.0,0.0,16717.11,1.0 +753.0,Germany,Female,38.0,1.0,117314.92,1.0,1.0,0.0,122021.33,0.0 +601.0,France,Male,40.0,10.0,127847.86,1.0,0.0,0.0,173245.68,0.0 +772.0,Germany,Male,34.0,7.0,111565.91,1.0,1.0,1.0,121073.23, +746.0,France,Male,35.0,2.0,172274.01,1.0,1.0,0.0,22374.97,0.0 +516.0,France,Male,46.0,2.0,0.0,2.0,1.0,1.0,169122.54, +698.0,Spain,Male,27.0,6.0,125427.37,2.0,0.0,0.0,27654.44,0.0 +815.0,Germany,Female,25.0,8.0,135161.67,1.0,1.0,1.0,136071.05,1.0 +580.0,France,Female,35.0,1.0,102097.33,1.0,0.0,1.0,168285.85,0.0 +570.0,France,Female,43.0,9.0,0.0,2.0,0.0,1.0,11417.26,0.0 +586.0,Spain,Male,34.0,5.0,168094.01,1.0,0.0,0.0,20058.61,0.0 +729.0,France,Female,38.0,7.0,0.0,2.0,0.0,0.0,45779.9,0.0 +757.0,France,Female,49.0,2.0,0.0,2.0,0.0,0.0,164482.92,0.0 +573.0,Spain,Male,33.0,1.0,160777.9,1.0,1.0,1.0,149536.15,0.0 +732.0,Spain,Female,67.0,1.0,0.0,2.0,1.0,1.0,177783.04,0.0 +661.0,France,Female,30.0,7.0,0.0,2.0,1.0,0.0,72196.57,0.0 +797.0,Spain,Male,59.0,4.0,129321.44,1.0,1.0,1.0,93624.55,0.0 +641.0,Spain,Female,40.0,4.0,101090.27,1.0,1.0,1.0,51703.09,0.0 +590.0,France,Male,32.0,5.0,0.0,2.0,1.0,0.0,59249.83,0.0 +649.0,France,Male,47.0,1.0,0.0,2.0,1.0,1.0,145593.85,0.0 +571.0,France,Male,38.0,1.0,121405.04,1.0,1.0,1.0,154844.22,0.0 +737.0,Germany,Male,43.0,8.0,96353.8,1.0,0.0,0.0,10209.8, +656.0,France,Male,44.0,10.0,143571.52,1.0,0.0,0.0,127444.14, +788.0,France,Female,39.0,3.0,135139.33,1.0,0.0,1.0,113086.08,1.0 +621.0,Germany,Male,40.0,8.0,174126.75,3.0,1.0,0.0,172490.78,0.0 +430.0,France,Female,33.0,8.0,0.0,1.0,1.0,1.0,69759.91,0.0 +585.0,France,Female,33.0,4.0,152805.05,1.0,1.0,0.0,63239.65, +630.0,Spain,Female,21.0,1.0,85818.18,1.0,1.0,1.0,133102.3,0.0 +492.0,Germany,Male,51.0,8.0,117808.74,2.0,1.0,1.0,67311.12,0.0 +678.0,Spain,Female,27.0,5.0,87099.85,2.0,1.0,0.0,149550.95, +555.0,France,Female,26.0,7.0,0.0,2.0,1.0,0.0,93122.41,0.0 +701.0,France,Female,35.0,2.0,0.0,2.0,1.0,1.0,65765.22, +512.0,Spain,Male,36.0,1.0,0.0,1.0,0.0,1.0,135482.26,1.0 +567.0,Spain,Male,44.0,9.0,0.0,2.0,1.0,0.0,87677.15, +694.0,France,Male,36.0,3.0,97530.25,1.0,1.0,1.0,117140.41,0.0 +514.0,Germany,Female,45.0,3.0,109032.23,1.0,0.0,1.0,155407.21,0.0 +809.0,France,Female,24.0,4.0,0.0,2.0,1.0,0.0,193518.76,0.0 +737.0,France,Female,70.0,9.0,87542.89,2.0,1.0,1.0,42576.86, +419.0,Spain,Female,27.0,2.0,121580.42,1.0,0.0,1.0,134720.51, +707.0,Spain,Male,44.0,3.0,0.0,2.0,1.0,1.0,135077.01,0.0 +531.0,Germany,Female,32.0,0.0,109570.21,2.0,1.0,1.0,172049.84,0.0 +619.0,Spain,Female,38.0,1.0,0.0,1.0,1.0,0.0,112442.63,0.0 +516.0,France,Male,35.0,10.0,104088.59,2.0,0.0,0.0,119666.0,0.0 +563.0,Germany,Male,41.0,2.0,100520.92,1.0,1.0,1.0,19412.8, +756.0,Germany,Female,26.0,5.0,155143.52,1.0,0.0,1.0,135034.57,0.0 +573.0,France,Female,23.0,2.0,0.0,1.0,1.0,0.0,122964.18,0.0 +525.0,Spain,Female,30.0,5.0,0.0,2.0,0.0,1.0,149195.44,0.0 +593.0,Spain,Male,31.0,8.0,112713.34,1.0,1.0,1.0,176868.89,1.0 +732.0,France,Female,35.0,3.0,0.0,2.0,1.0,0.0,90876.95, +593.0,France,Male,36.0,2.0,70181.48,2.0,1.0,0.0,80608.12,0.0 +598.0,Germany,Male,53.0,10.0,167772.96,1.0,1.0,1.0,136886.86,0.0 +765.0,France,Male,34.0,9.0,91835.16,1.0,0.0,0.0,138280.17,0.0 +813.0,Germany,Female,29.0,5.0,106059.4,1.0,0.0,0.0,187976.88, +494.0,France,Male,28.0,9.0,114731.76,2.0,0.0,1.0,79479.74, +645.0,France,Male,42.0,6.0,0.0,1.0,0.0,0.0,149807.01,1.0 +732.0,France,Male,41.0,8.0,0.0,2.0,1.0,1.0,170886.17,1.0 +667.0,Spain,Male,38.0,1.0,87202.38,1.0,1.0,1.0,77866.91,0.0 +651.0,Germany,Female,42.0,1.0,116646.76,1.0,1.0,0.0,44731.8,0.0 +608.0,France,Female,56.0,10.0,129255.2,2.0,1.0,0.0,142492.04,0.0 +565.0,Germany,Female,38.0,7.0,145400.69,2.0,1.0,1.0,83844.79, +593.0,France,Female,29.0,2.0,152265.43,1.0,1.0,0.0,34004.44,0.0 +606.0,Germany,Male,48.0,4.0,132403.56,1.0,0.0,0.0,36091.91,0.0 +774.0,France,Female,41.0,5.0,126670.37,1.0,1.0,0.0,102426.06,0.0 +538.0,Germany,Female,28.0,6.0,164365.44,1.0,0.0,1.0,5698.97,0.0 +715.0,France,Female,41.0,8.0,56214.85,2.0,0.0,0.0,92982.61,0.0 +585.0,Spain,Male,36.0,10.0,0.0,2.0,1.0,1.0,180318.6,0.0 +630.0,Germany,Female,51.0,0.0,108449.23,3.0,0.0,0.0,88372.69,1.0 +788.0,Spain,Female,70.0,1.0,0.0,2.0,1.0,1.0,41610.62,0.0 +651.0,Germany,Female,24.0,7.0,40224.7,1.0,1.0,1.0,178341.33,1.0 +673.0,France,Female,34.0,8.0,42157.08,1.0,1.0,0.0,20598.59,1.0 +710.0,France,Male,40.0,5.0,0.0,2.0,0.0,0.0,162878.96,0.0 +651.0,Germany,Male,34.0,2.0,90355.12,2.0,0.0,0.0,193597.94,1.0 +676.0,Spain,Female,30.0,5.0,0.0,2.0,0.0,0.0,179066.58,0.0 +677.0,Germany,Female,41.0,8.0,146720.98,2.0,1.0,1.0,4195.84,0.0 +549.0,Germany,Male,54.0,5.0,92877.33,1.0,1.0,0.0,2619.64,1.0 +624.0,Germany,Female,48.0,3.0,122388.38,2.0,0.0,0.0,30020.09,1.0 +695.0,France,Female,31.0,5.0,106089.2,1.0,0.0,0.0,99537.68, +615.0,France,Male,41.0,4.0,130385.82,1.0,0.0,1.0,130661.95, +560.0,France,Female,35.0,1.0,0.0,2.0,1.0,0.0,3701.63, +607.0,Spain,Male,34.0,9.0,132439.99,1.0,1.0,0.0,177747.72,0.0 +750.0,France,Male,22.0,5.0,0.0,2.0,0.0,1.0,105125.65,0.0 +683.0,France,Male,47.0,1.0,0.0,2.0,1.0,0.0,148989.15, +643.0,France,Male,62.0,9.0,0.0,2.0,0.0,0.0,155870.82, +618.0,Spain,Male,33.0,4.0,0.0,2.0,1.0,1.0,77550.18,0.0 +586.0,France,Female,28.0,5.0,0.0,3.0,1.0,0.0,170487.4,0.0 +718.0,France,Female,41.0,1.0,0.0,2.0,0.0,1.0,27509.52, +534.0,France,Male,38.0,3.0,0.0,1.0,0.0,0.0,143938.27,0.0 +735.0,France,Male,34.0,1.0,141796.43,1.0,1.0,0.0,45858.49, +583.0,Spain,Female,22.0,2.0,0.0,2.0,0.0,1.0,5985.36,1.0 +741.0,France,Female,60.0,5.0,0.0,1.0,1.0,1.0,38914.51, +602.0,France,Female,56.0,3.0,115895.22,3.0,1.0,0.0,4176.17,0.0 +648.0,Spain,Female,43.0,7.0,81153.82,1.0,1.0,1.0,144532.85, +474.0,Spain,Male,37.0,3.0,0.0,2.0,0.0,0.0,57175.32,0.0 +605.0,France,Male,52.0,1.0,63349.75,1.0,1.0,0.0,108887.44,0.0 +606.0,Germany,Male,65.0,10.0,126306.64,3.0,0.0,0.0,7861.68,0.0 +767.0,France,Female,44.0,2.0,152509.25,1.0,1.0,1.0,136915.15,0.0 +429.0,France,Male,24.0,4.0,95741.75,1.0,1.0,0.0,46170.75,1.0 +620.0,France,Female,42.0,1.0,0.0,2.0,0.0,1.0,65565.92,0.0 +806.0,Germany,Male,30.0,8.0,168078.83,1.0,1.0,0.0,85028.36,1.0 +622.0,Spain,Male,36.0,9.0,0.0,2.0,1.0,1.0,104852.6, +716.0,France,Male,31.0,8.0,109578.04,2.0,1.0,1.0,51503.51, +557.0,France,Male,42.0,6.0,177822.03,1.0,1.0,0.0,150944.31, +484.0,Germany,Male,40.0,7.0,106901.42,2.0,0.0,0.0,118045.98, +538.0,Spain,Male,39.0,2.0,122773.5,2.0,1.0,1.0,58467.08,0.0 +747.0,France,Female,45.0,1.0,114959.12,1.0,1.0,0.0,189362.39,1.0 +498.0,Germany,Female,41.0,4.0,87541.06,2.0,1.0,1.0,12577.21,1.0 +680.0,France,Male,36.0,3.0,116275.12,1.0,1.0,1.0,63795.8,0.0 +525.0,Spain,Male,33.0,5.0,0.0,2.0,1.0,0.0,161002.29,0.0 +610.0,Germany,Male,57.0,6.0,106938.11,2.0,0.0,1.0,186612.47,0.0 +627.0,France,Female,41.0,6.0,0.0,3.0,1.0,1.0,138700.75,0.0 +626.0,France,Female,37.0,2.0,133968.96,2.0,1.0,0.0,148689.65,1.0 +542.0,France,Male,34.0,8.0,101116.06,1.0,1.0,0.0,196395.05,1.0 +769.0,Germany,Female,45.0,5.0,126674.81,1.0,1.0,0.0,124118.71,0.0 +640.0,France,Male,55.0,10.0,132436.34,1.0,1.0,0.0,978.66, +607.0,Spain,Female,62.0,8.0,108004.64,1.0,1.0,1.0,23386.77,0.0 +659.0,Spain,Female,38.0,9.0,0.0,2.0,1.0,1.0,35701.06,0.0 +595.0,Germany,Female,44.0,4.0,96553.52,2.0,1.0,0.0,143952.24,1.0 +572.0,Germany,Male,26.0,4.0,118287.01,2.0,0.0,0.0,60427.3,0.0 +767.0,Germany,Female,35.0,6.0,132253.22,1.0,1.0,0.0,115566.57,0.0 +554.0,France,Male,40.0,4.0,0.0,1.0,0.0,1.0,168780.04,0.0 +693.0,France,Male,43.0,6.0,128760.32,1.0,1.0,0.0,36342.79, +652.0,Germany,Male,41.0,9.0,159434.03,1.0,1.0,0.0,178373.93, +588.0,Germany,Female,40.0,10.0,125534.51,1.0,1.0,0.0,121504.18,0.0 +671.0,Spain,Female,42.0,3.0,0.0,2.0,1.0,1.0,128449.33,0.0 +657.0,Germany,Male,40.0,7.0,99165.84,1.0,0.0,1.0,119333.95, +628.0,France,Female,31.0,5.0,0.0,1.0,0.0,0.0,147963.07,0.0 +645.0,Spain,Male,44.0,8.0,113755.78,2.0,1.0,0.0,149756.71,1.0 +528.0,Germany,Male,22.0,5.0,93547.23,2.0,0.0,1.0,961.57,0.0 +808.0,Spain,Female,67.0,10.0,124577.15,1.0,0.0,1.0,169894.4,0.0 +673.0,Germany,Female,41.0,9.0,98612.1,1.0,1.0,0.0,151349.35,0.0 +395.0,Germany,Female,34.0,5.0,106011.59,1.0,1.0,1.0,17376.57,0.0 +573.0,France,Female,37.0,6.0,0.0,2.0,1.0,0.0,193995.37,0.0 +523.0,Spain,Female,24.0,5.0,172231.93,1.0,0.0,1.0,155144.12, +666.0,Germany,Female,36.0,3.0,129118.5,2.0,0.0,0.0,139435.12,1.0 +614.0,Germany,Female,35.0,6.0,128100.28,1.0,0.0,0.0,69454.24,1.0 +721.0,Spain,Female,32.0,10.0,0.0,1.0,1.0,0.0,136119.96,0.0 +610.0,France,Male,26.0,8.0,0.0,2.0,1.0,0.0,166031.08,0.0 +608.0,Germany,Male,44.0,7.0,114203.47,1.0,1.0,1.0,77830.36,0.0 +564.0,France,Female,33.0,4.0,135946.26,1.0,1.0,0.0,63170.0,0.0 +685.0,Germany,Male,38.0,4.0,111798.06,2.0,1.0,1.0,102184.66, +582.0,Germany,Female,40.0,3.0,110150.43,1.0,1.0,1.0,191757.65,1.0 +741.0,Spain,Male,39.0,7.0,143637.58,2.0,0.0,1.0,174227.66,0.0 +745.0,Germany,Male,38.0,5.0,65095.41,2.0,1.0,1.0,140197.42,0.0 +680.0,Germany,Female,48.0,8.0,115115.38,1.0,1.0,0.0,139558.6,0.0 +758.0,Germany,Male,68.0,6.0,112595.85,1.0,1.0,0.0,35865.44,0.0 +662.0,Spain,Male,38.0,4.0,0.0,2.0,1.0,0.0,136259.65,0.0 +724.0,Germany,Female,53.0,1.0,139687.66,2.0,1.0,1.0,12913.92, +647.0,Spain,Female,44.0,5.0,0.0,3.0,1.0,1.0,174205.22,0.0 +566.0,Germany,Female,40.0,2.0,97001.36,2.0,1.0,0.0,154486.01,0.0 +606.0,France,Female,36.0,10.0,0.0,2.0,0.0,1.0,155641.46, +787.0,France,Male,32.0,4.0,0.0,2.0,1.0,1.0,13238.93, +767.0,France,Female,35.0,9.0,0.0,2.0,1.0,0.0,39511.61, +757.0,France,Male,28.0,3.0,75381.15,1.0,1.0,1.0,199727.72,1.0 +719.0,Spain,Female,40.0,9.0,0.0,2.0,1.0,0.0,182224.14, +483.0,Germany,Male,41.0,1.0,118334.44,1.0,0.0,0.0,163147.99,0.0 +610.0,Spain,Male,29.0,9.0,0.0,3.0,0.0,1.0,83912.24,0.0 +728.0,Germany,Male,45.0,3.0,108924.33,2.0,1.0,0.0,84300.4,1.0 +556.0,France,Female,47.0,2.0,139914.27,1.0,1.0,1.0,50390.98,0.0 +545.0,Germany,Male,33.0,1.0,132527.9,2.0,0.0,1.0,107429.71,0.0 +710.0,France,Male,45.0,1.0,0.0,2.0,1.0,1.0,36154.66,0.0 +664.0,Spain,Male,41.0,7.0,123428.69,1.0,1.0,1.0,164924.11, +687.0,France,Female,26.0,6.0,0.0,2.0,1.0,1.0,32909.13,1.0 +723.0,France,Female,40.0,7.0,142856.95,2.0,0.0,0.0,38019.74,0.0 +703.0,Spain,Male,58.0,4.0,92930.92,1.0,0.0,1.0,85148.78, +740.0,France,Female,51.0,4.0,0.0,2.0,1.0,1.0,178929.84, +607.0,Germany,Male,38.0,3.0,98205.77,1.0,1.0,0.0,176318.27,0.0 +750.0,France,Female,32.0,5.0,0.0,2.0,1.0,0.0,95611.47,0.0 +437.0,Germany,Male,35.0,6.0,126803.34,2.0,1.0,1.0,161133.4, +785.0,Spain,Male,41.0,7.0,0.0,2.0,1.0,1.0,199108.88,0.0 +685.0,France,Male,58.0,1.0,104796.54,1.0,1.0,1.0,154181.41,0.0 +520.0,Germany,Female,31.0,3.0,108914.17,1.0,1.0,1.0,183572.39,1.0 +559.0,France,Female,38.0,8.0,95139.41,1.0,1.0,1.0,86575.46,0.0 +628.0,France,Male,32.0,9.0,149136.31,2.0,1.0,1.0,16402.11,0.0 +714.0,Spain,Male,33.0,8.0,122017.19,1.0,0.0,0.0,162515.17,0.0 +704.0,Spain,Female,44.0,9.0,153656.85,1.0,1.0,0.0,158742.81,0.0 +497.0,France,Male,34.0,2.0,0.0,2.0,1.0,1.0,83087.13, +543.0,France,Female,32.0,7.0,147256.86,1.0,1.0,0.0,112771.95,0.0 +779.0,Germany,Female,24.0,10.0,122200.31,2.0,1.0,0.0,43705.56,0.0 +686.0,France,Male,60.0,9.0,0.0,3.0,1.0,1.0,75246.21,0.0 +665.0,France,Female,38.0,5.0,0.0,2.0,1.0,0.0,156439.56,0.0 +520.0,France,Female,29.0,8.0,95947.76,1.0,1.0,0.0,4696.44,0.0 +623.0,Germany,Male,42.0,1.0,149332.48,2.0,1.0,0.0,100834.22,0.0 +520.0,France,Male,34.0,4.0,134007.9,1.0,1.0,1.0,193209.11,0.0 +662.0,France,Male,34.0,2.0,117731.79,2.0,0.0,1.0,55120.79, +645.0,Spain,Female,29.0,4.0,0.0,2.0,1.0,1.0,74346.11,0.0 +741.0,France,Male,38.0,9.0,0.0,2.0,1.0,0.0,14379.01,1.0 +836.0,France,Female,29.0,9.0,133681.78,1.0,1.0,1.0,153747.73,0.0 +681.0,France,Male,38.0,6.0,153722.47,1.0,1.0,0.0,101319.76,0.0 +666.0,France,Female,38.0,6.0,127043.09,1.0,1.0,1.0,8247.0,0.0 +661.0,Spain,Male,39.0,6.0,132628.98,1.0,0.0,0.0,38812.67,0.0 +499.0,France,Female,46.0,6.0,0.0,2.0,1.0,0.0,73457.55, +580.0,France,Male,50.0,0.0,125647.36,1.0,1.0,0.0,57541.08,0.0 +554.0,France,Female,45.0,6.0,0.0,2.0,1.0,1.0,181204.5,0.0 +733.0,France,Male,36.0,5.0,0.0,2.0,1.0,1.0,109127.54,0.0 +641.0,France,Female,35.0,4.0,0.0,2.0,0.0,0.0,125986.18,0.0 +774.0,Germany,Male,36.0,9.0,130809.77,1.0,1.0,0.0,152290.28,0.0 +748.0,Spain,Female,40.0,4.0,0.0,2.0,1.0,0.0,132368.47,0.0 +648.0,Germany,Male,33.0,7.0,135310.41,2.0,0.0,1.0,171668.2,1.0 +654.0,France,Male,29.0,1.0,0.0,1.0,1.0,0.0,180345.44,0.0 +622.0,Spain,Female,41.0,9.0,0.0,2.0,1.0,1.0,155786.39,0.0 +506.0,France,Male,36.0,5.0,0.0,2.0,1.0,0.0,164253.35,0.0 +740.0,Germany,Male,33.0,2.0,126524.11,1.0,1.0,0.0,136869.31, +720.0,France,Male,33.0,9.0,0.0,2.0,1.0,1.0,142956.48,1.0 +762.0,Germany,Male,35.0,1.0,117458.51,1.0,0.0,1.0,178361.48,0.0 +703.0,France,Female,45.0,5.0,0.0,2.0,1.0,0.0,131906.44,0.0 +754.0,France,Male,34.0,7.0,0.0,2.0,1.0,1.0,65219.85,1.0 +605.0,France,Male,52.0,7.0,0.0,2.0,1.0,1.0,173952.5,0.0 +569.0,Spain,Male,34.0,0.0,151839.26,1.0,1.0,0.0,102299.81,1.0 +584.0,France,Male,38.0,1.0,115341.55,1.0,0.0,1.0,173632.92, +847.0,France,Male,66.0,7.0,123760.68,1.0,0.0,1.0,53157.16,0.0 +546.0,Germany,Female,25.0,3.0,132837.7,1.0,1.0,0.0,131647.31, +815.0,France,Male,37.0,1.0,166115.42,1.0,1.0,0.0,67208.3,0.0 +559.0,Germany,Female,28.0,3.0,152264.81,1.0,0.0,0.0,64242.31,0.0 +572.0,France,Male,33.0,5.0,0.0,1.0,0.0,1.0,41139.05,0.0 +584.0,France,Female,26.0,0.0,146286.22,1.0,1.0,0.0,105105.35, +688.0,Spain,Male,42.0,5.0,0.0,2.0,0.0,0.0,197602.29,0.0 +673.0,France,Male,37.0,2.0,0.0,1.0,1.0,1.0,13624.02, +743.0,Spain,Male,25.0,6.0,0.0,2.0,1.0,0.0,129740.11, +717.0,France,Female,59.0,4.0,0.0,2.0,1.0,1.0,170528.63, +616.0,Germany,Female,42.0,6.0,117899.95,2.0,0.0,0.0,150266.81,0.0 +559.0,Spain,Female,39.0,2.0,0.0,2.0,1.0,1.0,121151.1, +696.0,Germany,Female,66.0,7.0,119499.42,2.0,1.0,1.0,174027.3,0.0 +751.0,France,Male,47.0,5.0,142669.93,2.0,1.0,0.0,162760.96,0.0 +645.0,France,Male,45.0,6.0,155417.61,1.0,0.0,1.0,3449.22, +814.0,Germany,Male,29.0,1.0,131968.57,2.0,1.0,1.0,147693.92,1.0 +791.0,France,Female,52.0,7.0,0.0,1.0,1.0,1.0,122782.5,0.0 +605.0,Germany,Male,75.0,2.0,61319.63,1.0,0.0,1.0,186655.11, +706.0,France,Male,34.0,8.0,0.0,2.0,1.0,1.0,37479.97, +543.0,France,Female,31.0,4.0,138317.94,1.0,0.0,0.0,61843.73, +690.0,Germany,Male,31.0,2.0,137260.45,2.0,1.0,0.0,55387.28,0.0 +770.0,France,Male,24.0,9.0,101827.07,1.0,1.0,0.0,167256.35,0.0 +651.0,France,Male,28.0,7.0,0.0,2.0,1.0,0.0,823.96,1.0 +600.0,France,Female,43.0,5.0,134022.06,1.0,1.0,0.0,194764.83,0.0 +466.0,Germany,Male,41.0,2.0,152102.18,2.0,1.0,0.0,181879.56,0.0 +447.0,France,Female,44.0,5.0,89188.83,1.0,1.0,1.0,75408.24,0.0 +595.0,Germany,Female,64.0,2.0,105736.32,1.0,1.0,1.0,89935.73, +712.0,France,Female,37.0,1.0,106881.5,2.0,0.0,0.0,169386.81,0.0 +721.0,France,Female,49.0,1.0,120108.56,1.0,0.0,1.0,183421.76,0.0 +661.0,Spain,Female,28.0,7.0,95357.49,1.0,0.0,0.0,102297.15,0.0 +467.0,France,Male,57.0,1.0,0.0,2.0,1.0,1.0,114448.77,0.0 +720.0,France,Male,44.0,4.0,0.0,2.0,1.0,0.0,163471.01, +579.0,France,Female,29.0,10.0,73194.52,2.0,1.0,1.0,129209.09, +728.0,Spain,Female,43.0,8.0,128412.61,1.0,0.0,1.0,139024.31, +722.0,France,Male,40.0,6.0,0.0,2.0,1.0,1.0,111893.09, +784.0,Spain,Male,33.0,10.0,0.0,2.0,1.0,0.0,162022.47,1.0 +652.0,Spain,Male,41.0,8.0,115144.68,1.0,1.0,0.0,188905.43,0.0 +603.0,Spain,Female,56.0,5.0,90778.76,2.0,1.0,0.0,162223.67,0.0 +682.0,Spain,Male,46.0,4.0,0.0,1.0,1.0,1.0,4654.28,0.0 +615.0,France,Female,35.0,2.0,97440.02,2.0,1.0,1.0,139816.1,0.0 +453.0,Germany,Female,28.0,3.0,139986.65,1.0,1.0,0.0,136846.75, +526.0,Spain,Male,35.0,5.0,0.0,2.0,1.0,1.0,105618.14,0.0 +601.0,France,Female,40.0,3.0,92055.36,1.0,0.0,1.0,164652.02,0.0 +650.0,Germany,Female,25.0,2.0,114330.95,1.0,1.0,1.0,25325.07,0.0 +554.0,Germany,Male,43.0,5.0,99906.89,1.0,0.0,0.0,24983.39,0.0 +522.0,Germany,Male,25.0,1.0,111432.13,1.0,1.0,1.0,168683.57, +605.0,France,Male,33.0,9.0,128152.82,1.0,0.0,0.0,147822.81,0.0 +739.0,Germany,Male,32.0,3.0,102128.27,1.0,1.0,0.0,63981.37, +611.0,Spain,Male,46.0,6.0,0.0,2.0,1.0,0.0,45886.33,0.0 +707.0,Spain,Male,32.0,9.0,0.0,2.0,1.0,0.0,126475.79, +733.0,Spain,Female,38.0,5.0,0.0,2.0,1.0,1.0,1271.51,0.0 +598.0,Spain,Male,44.0,8.0,0.0,2.0,1.0,0.0,148487.9,0.0 +594.0,France,Male,57.0,6.0,0.0,1.0,1.0,0.0,19376.56,1.0 +705.0,France,Female,31.0,3.0,142905.51,1.0,1.0,1.0,58134.97, +835.0,Germany,Female,47.0,5.0,108289.28,2.0,1.0,1.0,45859.55,0.0 +770.0,Germany,Male,45.0,4.0,110765.68,1.0,1.0,0.0,26163.74,0.0 +717.0,Spain,Female,39.0,6.0,0.0,2.0,1.0,0.0,93275.61,1.0 +528.0,Germany,Male,32.0,2.0,99092.45,1.0,0.0,1.0,111149.98, +777.0,France,Female,42.0,5.0,147531.82,1.0,1.0,1.0,38819.45,1.0 +850.0,Germany,Male,22.0,7.0,91560.58,2.0,0.0,0.0,10541.38,0.0 +637.0,Germany,Male,30.0,1.0,122185.53,1.0,1.0,0.0,102566.46,0.0 +569.0,Spain,Male,31.0,1.0,115406.97,1.0,0.0,0.0,145528.22,0.0 +619.0,France,Male,43.0,1.0,125211.92,1.0,1.0,1.0,113410.49,0.0 +543.0,Germany,Female,57.0,1.0,106138.33,2.0,1.0,1.0,120657.32,0.0 +831.0,France,Male,30.0,2.0,0.0,2.0,0.0,1.0,3430.38,0.0 +587.0,France,Male,36.0,1.0,0.0,2.0,0.0,1.0,17135.6, +710.0,France,Female,33.0,2.0,0.0,2.0,1.0,0.0,72945.32, +639.0,France,Female,35.0,8.0,0.0,1.0,0.0,0.0,164453.98,0.0 +544.0,Spain,Male,30.0,8.0,145241.63,1.0,1.0,1.0,80676.83,0.0 +654.0,France,Female,40.0,3.0,0.0,2.0,1.0,0.0,167889.1,0.0 +603.0,Germany,Female,35.0,9.0,145623.36,1.0,1.0,0.0,163181.62,0.0 +776.0,France,Female,31.0,5.0,0.0,2.0,1.0,0.0,92647.94, +418.0,France,Male,28.0,7.0,98738.92,1.0,1.0,0.0,122190.22,0.0 +623.0,France,Female,37.0,4.0,140211.88,1.0,1.0,1.0,93832.33,0.0 +570.0,France,Male,23.0,2.0,0.0,1.0,0.0,0.0,198830.98,0.0 +750.0,Spain,Male,22.0,3.0,121681.82,1.0,1.0,0.0,128643.35,0.0 +588.0,France,Male,30.0,3.0,115007.08,1.0,0.0,0.0,176858.5, +581.0,Spain,Female,46.0,1.0,0.0,2.0,1.0,0.0,104272.04,0.0 +687.0,France,Female,61.0,7.0,80538.56,1.0,1.0,0.0,131305.37, +767.0,Spain,Male,77.0,8.0,149083.7,1.0,1.0,1.0,190146.83,0.0 +724.0,France,Female,41.0,5.0,109798.25,1.0,0.0,1.0,149593.61, +467.0,Spain,Male,39.0,5.0,0.0,2.0,1.0,1.0,7415.96, +712.0,Spain,Male,45.0,6.0,112994.65,1.0,0.0,0.0,198398.68, +660.0,Spain,Female,36.0,0.0,84438.57,1.0,1.0,1.0,181449.51, +666.0,Spain,Female,47.0,5.0,0.0,1.0,0.0,0.0,166650.9,0.0 +610.0,Germany,Male,49.0,6.0,113882.33,1.0,1.0,0.0,195813.81,1.0 +642.0,Germany,Male,49.0,4.0,120688.61,1.0,1.0,0.0,24770.22, +746.0,Germany,Male,34.0,6.0,141806.0,2.0,1.0,1.0,183494.87,0.0 +836.0,Spain,Male,57.0,4.0,101247.06,1.0,1.0,0.0,37141.62,0.0 +656.0,France,Female,30.0,4.0,74323.2,1.0,1.0,1.0,22929.08,1.0 +687.0,France,Female,30.0,6.0,0.0,2.0,0.0,0.0,179206.92,0.0 +715.0,France,Female,31.0,3.0,110581.29,1.0,1.0,1.0,94715.24,0.0 +584.0,France,Male,35.0,9.0,0.0,2.0,1.0,0.0,192381.21,0.0 +534.0,France,Male,36.0,4.0,120037.96,1.0,1.0,0.0,36275.94,0.0 +625.0,France,Female,40.0,7.0,141267.67,1.0,0.0,1.0,177397.49,0.0 +568.0,France,Female,44.0,7.0,0.0,2.0,0.0,0.0,62370.67,0.0 +580.0,France,Female,65.0,9.0,106804.26,3.0,1.0,0.0,107890.69,0.0 +758.0,France,Female,32.0,2.0,84378.9,1.0,1.0,1.0,75396.43,0.0 +693.0,Germany,Female,37.0,6.0,95900.04,1.0,1.0,1.0,38196.24,1.0 +684.0,Germany,Male,42.0,1.0,117691.0,1.0,1.0,1.0,23135.65,0.0 +757.0,Germany,Male,31.0,8.0,149085.9,2.0,1.0,1.0,197077.36,0.0 +777.0,France,Male,23.0,6.0,0.0,2.0,1.0,1.0,163225.48,0.0 +622.0,Spain,Male,39.0,9.0,0.0,2.0,0.0,1.0,100862.36,0.0 +512.0,France,Female,37.0,1.0,0.0,2.0,0.0,1.0,156105.03,0.0 +842.0,France,Male,58.0,1.0,63492.94,1.0,1.0,1.0,83172.19,0.0 +675.0,Spain,Female,35.0,8.0,155621.08,1.0,0.0,1.0,35177.31,0.0 +660.0,Spain,Male,38.0,6.0,109869.32,1.0,1.0,1.0,154641.91,0.0 +699.0,France,Female,32.0,4.0,110559.46,1.0,1.0,1.0,127429.56,0.0 +727.0,Germany,Male,46.0,3.0,115248.11,4.0,1.0,0.0,130752.01, +677.0,Spain,Male,40.0,5.0,0.0,2.0,1.0,0.0,88947.56,0.0 +593.0,Germany,Female,48.0,3.0,133903.12,2.0,1.0,1.0,85902.39,0.0 +760.0,France,Male,38.0,6.0,162888.73,1.0,1.0,0.0,91098.76,0.0 +626.0,France,Female,32.0,0.0,0.0,2.0,0.0,0.0,187172.54,0.0 +572.0,Germany,Female,19.0,1.0,138657.08,1.0,1.0,1.0,16161.82,0.0 +520.0,France,Male,34.0,3.0,0.0,2.0,1.0,1.0,104703.96, +554.0,Spain,Female,41.0,4.0,112152.89,1.0,0.0,1.0,36242.19,1.0 +474.0,Germany,Female,37.0,5.0,142688.57,2.0,1.0,1.0,110953.33,0.0 +466.0,France,Female,30.0,3.0,0.0,1.0,1.0,0.0,193984.6, +677.0,Germany,Female,44.0,4.0,148770.61,2.0,1.0,1.0,191057.76,0.0 +850.0,France,Male,36.0,7.0,0.0,1.0,1.0,1.0,40812.9,1.0 +790.0,France,Female,31.0,2.0,151290.16,1.0,1.0,1.0,172437.12, +771.0,France,Male,39.0,5.0,0.0,2.0,1.0,0.0,96270.64, +674.0,France,Male,28.0,5.0,0.0,1.0,1.0,1.0,151925.25, +672.0,France,Female,34.0,8.0,0.0,2.0,1.0,1.0,16245.25,0.0 +779.0,Spain,Female,38.0,7.0,0.0,2.0,1.0,1.0,138542.87,0.0 +850.0,Spain,Male,38.0,7.0,115378.94,1.0,0.0,1.0,162087.82,1.0 +490.0,Spain,Male,40.0,6.0,156111.08,1.0,0.0,0.0,190889.13,0.0 +547.0,Spain,Female,31.0,9.0,0.0,2.0,0.0,0.0,99294.22,0.0 +850.0,Germany,Female,47.0,4.0,99219.47,2.0,1.0,1.0,122141.13,0.0 +615.0,Spain,Female,29.0,7.0,143330.56,2.0,1.0,1.0,126396.01,0.0 +602.0,France,Male,33.0,5.0,164704.38,1.0,0.0,1.0,180716.1,1.0 +829.0,Spain,Male,50.0,7.0,0.0,2.0,0.0,1.0,178458.86,0.0 +687.0,France,Male,39.0,7.0,0.0,2.0,1.0,0.0,26848.25,1.0 +718.0,France,Female,49.0,10.0,0.0,1.0,1.0,0.0,184474.72,0.0 +439.0,France,Male,36.0,2.0,165536.28,2.0,1.0,1.0,123956.83,0.0 +653.0,Germany,Male,58.0,1.0,132602.88,1.0,1.0,0.0,5097.67,0.0 +621.0,Spain,Male,42.0,8.0,68683.68,1.0,1.0,1.0,74157.71,0.0 +758.0,Spain,Female,40.0,5.0,93499.82,2.0,0.0,0.0,123218.81,0.0 +793.0,Germany,Female,32.0,1.0,96408.98,1.0,1.0,1.0,138191.81,0.0 +691.0,France,Female,29.0,9.0,0.0,2.0,0.0,0.0,199635.93,0.0 +645.0,Spain,Female,37.0,7.0,0.0,2.0,1.0,0.0,13589.93,0.0 +768.0,Germany,Male,37.0,9.0,108308.11,1.0,1.0,0.0,41788.25,0.0 +850.0,Germany,Female,45.0,1.0,121874.89,1.0,0.0,0.0,6865.41,0.0 +724.0,France,Female,32.0,6.0,0.0,2.0,1.0,1.0,150026.79,0.0 +535.0,France,Female,48.0,9.0,0.0,1.0,1.0,0.0,149892.79,0.0 +529.0,France,Male,32.0,9.0,147493.89,1.0,1.0,0.0,33656.35,0.0 +512.0,Germany,Male,41.0,7.0,122403.24,1.0,0.0,1.0,37439.9, +710.0,France,Male,47.0,5.0,158623.14,1.0,0.0,0.0,83499.89,1.0 +755.0,France,Male,34.0,3.0,0.0,2.0,1.0,1.0,158816.03, +846.0,France,Female,37.0,6.0,127103.97,1.0,1.0,1.0,41516.44, +571.0,France,Female,30.0,4.0,85755.86,1.0,1.0,0.0,145115.95,0.0 +705.0,Germany,Male,44.0,3.0,105934.96,1.0,1.0,0.0,82463.69,1.0 +633.0,France,Male,61.0,3.0,157201.48,1.0,0.0,1.0,50368.63, +653.0,France,Male,41.0,8.0,102768.42,1.0,1.0,0.0,55663.85,0.0 +604.0,Spain,Male,40.0,5.0,155455.43,1.0,0.0,1.0,113581.85, +727.0,France,Female,26.0,9.0,121508.28,1.0,1.0,1.0,146785.44,0.0 +629.0,Spain,Male,34.0,8.0,0.0,2.0,1.0,1.0,180595.02,0.0 +698.0,Germany,Male,56.0,1.0,112414.81,2.0,0.0,0.0,93982.02,1.0 +733.0,Germany,Male,31.0,6.0,157791.07,2.0,0.0,0.0,177994.81,0.0 +661.0,Germany,Male,35.0,2.0,117212.18,1.0,1.0,1.0,83052.03,0.0 +635.0,France,Male,42.0,1.0,146766.72,2.0,0.0,1.0,164357.1,0.0 +752.0,France,Male,33.0,4.0,0.0,2.0,1.0,1.0,39570.78,1.0 +721.0,France,Male,46.0,1.0,115764.32,2.0,0.0,0.0,102950.79,0.0 +671.0,France,Female,42.0,6.0,0.0,2.0,1.0,0.0,197202.48,0.0 +563.0,Spain,Male,61.0,1.0,82182.1,1.0,1.0,0.0,106826.92, +751.0,France,Female,39.0,3.0,0.0,2.0,1.0,1.0,84175.34,0.0 +616.0,Germany,Male,45.0,3.0,143129.41,2.0,0.0,1.0,64327.26,0.0 +689.0,Spain,Female,38.0,6.0,121021.05,1.0,1.0,1.0,12182.15,0.0 +640.0,France,Female,29.0,4.0,0.0,2.0,1.0,0.0,44904.26,0.0 +573.0,France,Male,26.0,8.0,86270.93,2.0,1.0,1.0,90177.3,1.0 +607.0,Spain,Female,25.0,4.0,121166.89,1.0,0.0,1.0,115288.24,0.0 +539.0,Spain,Male,39.0,2.0,0.0,2.0,1.0,1.0,48189.94,0.0 +709.0,France,Male,31.0,6.0,0.0,2.0,1.0,1.0,71009.84,0.0 +650.0,France,Male,37.0,9.0,0.0,2.0,1.0,0.0,17974.08,0.0 +516.0,France,Female,45.0,4.0,0.0,1.0,1.0,0.0,95273.73,0.0 +669.0,France,Female,38.0,8.0,0.0,2.0,1.0,0.0,84049.16,0.0 +662.0,France,Female,39.0,5.0,138106.75,1.0,0.0,0.0,19596.73,0.0 +705.0,Spain,Male,44.0,0.0,184552.12,1.0,1.0,0.0,68860.3,0.0 +589.0,Germany,Male,48.0,5.0,126111.61,1.0,0.0,1.0,133961.19,0.0 +619.0,France,Female,33.0,2.0,167733.51,2.0,1.0,1.0,65222.48,0.0 +707.0,Germany,Female,40.0,3.0,109628.44,1.0,1.0,0.0,189366.03,0.0 +539.0,Germany,Male,42.0,1.0,177728.55,1.0,1.0,0.0,105013.63, +550.0,Germany,Male,49.0,0.0,108806.96,3.0,1.0,0.0,61446.92, +559.0,France,Female,34.0,5.0,68999.66,2.0,1.0,1.0,66879.27,1.0 +675.0,Spain,Male,36.0,9.0,106190.55,1.0,0.0,1.0,22994.32,1.0 +731.0,France,Male,29.0,5.0,179539.2,1.0,0.0,0.0,112010.02, +726.0,Spain,Female,48.0,6.0,99906.19,1.0,1.0,0.0,64323.24,0.0 +467.0,Germany,Male,28.0,10.0,126315.26,1.0,1.0,0.0,32349.29, +690.0,France,Female,42.0,3.0,92578.14,2.0,0.0,0.0,70810.6,0.0 +661.0,France,Male,41.0,5.0,0.0,1.0,0.0,1.0,88279.6,0.0 +558.0,Germany,Male,26.0,1.0,148853.29,2.0,1.0,1.0,24411.02,0.0 +700.0,France,Male,26.0,4.0,119009.57,1.0,1.0,0.0,141926.43,1.0 +682.0,France,Female,27.0,1.0,97893.2,1.0,1.0,0.0,166144.98,1.0 +711.0,France,Male,38.0,3.0,0.0,2.0,1.0,0.0,68487.51,0.0 +613.0,Spain,Male,34.0,3.0,0.0,1.0,1.0,1.0,41724.72,1.0 +711.0,France,Female,25.0,5.0,190066.54,1.0,0.0,0.0,51345.39,0.0 +616.0,Spain,Female,43.0,3.0,120867.18,1.0,1.0,0.0,18761.92,0.0 +604.0,Germany,Male,36.0,10.0,113546.3,1.0,1.0,1.0,134875.37,0.0 +769.0,France,Female,25.0,10.0,0.0,2.0,0.0,0.0,187925.75,1.0 +579.0,France,Male,38.0,8.0,0.0,2.0,0.0,0.0,91763.67,0.0 +652.0,Spain,Female,42.0,3.0,83492.07,2.0,1.0,0.0,37914.12,0.0 +728.0,Spain,Female,29.0,1.0,0.0,1.0,1.0,1.0,83056.22,0.0 +558.0,Germany,Female,32.0,1.0,108262.87,1.0,1.0,1.0,6935.31,0.0 +650.0,Germany,Female,46.0,9.0,149003.76,2.0,1.0,0.0,176902.83, +593.0,Spain,Male,26.0,9.0,76226.9,1.0,1.0,0.0,167564.82,0.0 +516.0,France,Female,43.0,2.0,112773.73,2.0,1.0,1.0,139366.58,0.0 +632.0,Germany,Female,35.0,2.0,150561.03,2.0,0.0,0.0,64722.61,0.0 +717.0,Spain,Female,49.0,1.0,110864.38,2.0,1.0,1.0,124532.9,0.0 +595.0,Spain,Female,23.0,10.0,101126.66,2.0,0.0,0.0,37042.8,0.0 +658.0,Spain,Female,32.0,5.0,145553.07,1.0,1.0,1.0,31484.76, +598.0,Spain,Female,56.0,4.0,98365.33,1.0,1.0,1.0,44251.33,0.0 +850.0,Spain,Male,48.0,2.0,0.0,1.0,1.0,0.0,169425.3,0.0 +714.0,Germany,Female,36.0,1.0,101609.01,2.0,1.0,1.0,447.73,0.0 +693.0,Germany,Female,41.0,9.0,181461.48,3.0,1.0,1.0,187929.43,0.0 +561.0,France,Female,27.0,9.0,135637.0,1.0,1.0,0.0,153080.4,1.0 +510.0,Germany,Male,31.0,0.0,113688.63,1.0,1.0,0.0,33099.41,0.0 +740.0,France,Male,39.0,9.0,0.0,2.0,1.0,0.0,19047.23, +686.0,France,Female,41.0,4.0,129553.76,2.0,1.0,0.0,187599.8,0.0 +705.0,France,Male,32.0,3.0,0.0,2.0,0.0,0.0,129576.99,0.0 +665.0,France,Male,28.0,8.0,137300.23,1.0,1.0,0.0,90174.83,0.0 +767.0,Germany,Male,20.0,3.0,119714.25,2.0,0.0,1.0,150135.38,0.0 +731.0,Spain,Male,25.0,8.0,96950.21,1.0,1.0,0.0,97877.92,1.0 +635.0,France,Female,27.0,8.0,127471.56,1.0,1.0,1.0,152916.05,0.0 +725.0,France,Male,43.0,2.0,165896.0,2.0,1.0,0.0,130795.52,0.0 +567.0,Germany,Male,40.0,7.0,122265.24,1.0,1.0,0.0,138552.74,0.0 +664.0,Germany,Male,33.0,7.0,97286.16,2.0,1.0,0.0,143433.33,0.0 +833.0,Germany,Male,29.0,1.0,96462.25,2.0,0.0,1.0,48986.18,1.0 +662.0,France,Female,39.0,5.0,139562.05,2.0,1.0,0.0,61636.22, +564.0,Spain,Male,48.0,5.0,132876.23,1.0,1.0,0.0,79259.77,1.0 +635.0,Spain,Female,35.0,7.0,0.0,2.0,1.0,1.0,65951.65,0.0 +726.0,France,Male,37.0,2.0,132057.92,2.0,1.0,0.0,34743.98,1.0 +743.0,Germany,Male,45.0,10.0,144677.19,3.0,1.0,0.0,22512.44,1.0 +688.0,Spain,Male,37.0,7.0,138162.41,2.0,1.0,1.0,113926.31,1.0 +718.0,France,Male,38.0,7.0,0.0,2.0,1.0,0.0,38308.34,0.0 +605.0,Spain,Female,48.0,6.0,0.0,2.0,1.0,1.0,40062.99,1.0 +579.0,Germany,Female,50.0,5.0,117721.02,1.0,0.0,1.0,192146.63,0.0 +673.0,Germany,Female,29.0,4.0,99097.36,1.0,1.0,1.0,9796.69,0.0 +848.0,Germany,Male,31.0,4.0,90018.45,2.0,1.0,0.0,193132.98,0.0 +602.0,France,Female,33.0,8.0,0.0,2.0,1.0,1.0,112928.74,0.0 +573.0,France,Male,52.0,8.0,0.0,2.0,0.0,1.0,178229.04, +543.0,France,Male,30.0,4.0,140916.81,1.0,1.0,0.0,157711.18,0.0 +603.0,France,Male,32.0,7.0,0.0,1.0,1.0,0.0,198055.94, +654.0,France,Female,24.0,8.0,145081.73,1.0,1.0,1.0,130075.07,0.0 +689.0,Spain,Female,57.0,4.0,0.0,2.0,1.0,0.0,136649.8,0.0 +712.0,France,Female,32.0,1.0,0.0,2.0,1.0,0.0,1703.58,0.0 +722.0,France,Male,46.0,5.0,0.0,2.0,1.0,0.0,179908.71,0.0 +828.0,Spain,Male,47.0,1.0,109876.82,2.0,1.0,0.0,83611.45,1.0 +624.0,Germany,Male,54.0,3.0,116726.22,1.0,1.0,0.0,110498.1,0.0 +566.0,Germany,Male,22.0,7.0,144954.75,2.0,1.0,0.0,102246.0,0.0 +729.0,Spain,Male,44.0,4.0,107726.93,2.0,1.0,0.0,153064.87,0.0 +495.0,Spain,Female,42.0,7.0,0.0,2.0,0.0,0.0,130404.53,0.0 +765.0,France,Male,40.0,6.0,138033.55,1.0,1.0,1.0,67972.45,0.0 +515.0,France,Male,48.0,5.0,129387.94,1.0,0.0,1.0,147955.91, +664.0,Germany,Male,36.0,6.0,71142.77,2.0,1.0,0.0,122433.09,0.0 +583.0,France,Male,40.0,9.0,112701.04,1.0,0.0,0.0,29213.63,1.0 +530.0,Spain,Female,36.0,2.0,0.0,2.0,1.0,1.0,14721.8,0.0 +742.0,Germany,Female,43.0,6.0,97067.69,1.0,0.0,1.0,60920.03,0.0 +778.0,France,Male,33.0,1.0,0.0,2.0,1.0,0.0,85439.73,1.0 +504.0,Germany,Female,43.0,7.0,102365.49,1.0,1.0,0.0,194690.77,1.0 +764.0,France,Female,24.0,7.0,0.0,2.0,1.0,0.0,186105.99,1.0 +781.0,France,Male,33.0,3.0,89276.48,1.0,1.0,0.0,6959.0, +494.0,France,Male,25.0,6.0,0.0,2.0,0.0,1.0,109988.09,0.0 +632.0,Germany,Male,41.0,3.0,126550.7,1.0,0.0,0.0,177644.52,0.0 +688.0,France,Female,54.0,9.0,0.0,1.0,1.0,0.0,191212.63,0.0 +758.0,Spain,Female,35.0,5.0,0.0,2.0,0.0,0.0,100365.51,0.0 +709.0,France,Female,30.0,5.0,0.0,2.0,0.0,1.0,161388.22,0.0 +553.0,Germany,Female,25.0,7.0,128524.19,2.0,1.0,0.0,20682.46, +593.0,France,Male,35.0,9.0,114193.24,1.0,1.0,0.0,71154.1,0.0 +599.0,Spain,Male,33.0,4.0,51690.89,1.0,1.0,0.0,111622.76,0.0 +546.0,Germany,Female,58.0,3.0,106458.31,4.0,1.0,0.0,128881.87,0.0 +737.0,France,Female,32.0,7.0,128551.36,2.0,0.0,1.0,189402.71, +530.0,Spain,Female,41.0,4.0,0.0,2.0,0.0,1.0,147606.71,0.0 +628.0,France,Male,37.0,0.0,0.0,2.0,1.0,1.0,171707.93,0.0 +683.0,Spain,Male,35.0,9.0,61172.04,1.0,0.0,0.0,82951.12, +850.0,Germany,Female,48.0,6.0,111962.99,1.0,1.0,0.0,111755.8,0.0 +596.0,Germany,Male,34.0,4.0,99441.21,2.0,0.0,1.0,4802.27,1.0 +734.0,France,Female,29.0,0.0,139994.66,1.0,1.0,0.0,17744.72,0.0 +631.0,Germany,Male,40.0,3.0,107949.45,1.0,1.0,0.0,52449.62,0.0 +605.0,France,Male,35.0,6.0,0.0,2.0,1.0,1.0,45206.57,0.0 +399.0,Germany,Male,46.0,2.0,127655.22,1.0,1.0,0.0,139994.68,0.0 +605.0,Germany,Female,56.0,1.0,74129.18,2.0,1.0,1.0,62199.78, +739.0,Germany,Male,58.0,1.0,110597.76,1.0,0.0,1.0,160122.66,0.0 +632.0,Germany,Male,65.0,6.0,129472.33,1.0,1.0,1.0,85179.48,0.0 +559.0,France,Male,29.0,1.0,0.0,2.0,0.0,0.0,155639.76,0.0 +690.0,Germany,Female,54.0,1.0,144027.8,1.0,1.0,1.0,108731.02, +724.0,France,Male,40.0,6.0,0.0,2.0,0.0,0.0,106149.48,0.0 +819.0,Spain,Female,28.0,8.0,168253.21,1.0,1.0,1.0,102799.14, +773.0,Spain,Female,41.0,5.0,0.0,1.0,1.0,0.0,28266.9,0.0 +679.0,France,Female,36.0,3.0,0.0,2.0,1.0,1.0,2243.41, +593.0,France,Female,41.0,6.0,0.0,1.0,1.0,0.0,65170.66,1.0 +710.0,France,Female,36.0,4.0,116085.06,1.0,1.0,0.0,58601.61,1.0 +543.0,France,Male,36.0,6.0,0.0,2.0,1.0,0.0,176728.28,0.0 +609.0,France,Male,32.0,7.0,118520.41,1.0,0.0,0.0,3815.48, +496.0,France,Female,29.0,4.0,0.0,2.0,1.0,0.0,164806.89,0.0 +836.0,Spain,Female,41.0,7.0,150302.84,1.0,1.0,1.0,156036.19,0.0 +809.0,Germany,Male,41.0,1.0,79706.25,2.0,1.0,0.0,165675.01,1.0 +665.0,France,Male,51.0,2.0,0.0,1.0,0.0,0.0,53353.36,1.0 +633.0,Spain,Male,63.0,4.0,114552.6,1.0,1.0,0.0,73856.28,0.0 +728.0,France,Male,30.0,10.0,114835.43,1.0,0.0,1.0,37662.49, +676.0,Spain,Female,36.0,4.0,0.0,2.0,1.0,1.0,3173.31,0.0 +695.0,Germany,Male,27.0,6.0,125552.96,1.0,1.0,0.0,105291.26,0.0 +646.0,Germany,Female,30.0,10.0,100548.67,2.0,0.0,0.0,136983.77,0.0 +560.0,France,Female,66.0,9.0,0.0,1.0,1.0,1.0,15928.49,1.0 +790.0,France,Female,47.0,10.0,148636.21,1.0,0.0,1.0,16119.96,0.0 +726.0,France,Female,44.0,2.0,0.0,2.0,1.0,1.0,26733.86, +698.0,France,Male,27.0,7.0,0.0,2.0,1.0,0.0,111471.55,0.0 +611.0,France,Female,49.0,2.0,88915.37,3.0,0.0,0.0,161435.02,0.0 +610.0,Spain,Female,46.0,5.0,116886.59,1.0,0.0,0.0,107973.44, +629.0,Spain,Male,31.0,6.0,132876.55,1.0,1.0,1.0,130862.11,0.0 +773.0,Spain,Male,51.0,4.0,0.0,2.0,0.0,0.0,123587.83, +618.0,France,Female,46.0,6.0,150213.71,1.0,1.0,0.0,120668.46, +683.0,Germany,Female,57.0,5.0,162448.69,1.0,0.0,0.0,9221.78,0.0 +528.0,France,Male,29.0,3.0,102787.42,1.0,1.0,0.0,55972.56,1.0 +501.0,Germany,Male,24.0,4.0,130806.42,2.0,1.0,0.0,80241.14,0.0 +622.0,France,Male,43.0,8.0,0.0,2.0,1.0,0.0,100618.17,0.0 +600.0,France,Female,26.0,6.0,108909.12,1.0,1.0,0.0,82547.01,0.0 +430.0,Germany,Female,66.0,6.0,135392.31,2.0,1.0,1.0,172852.06,0.0 +676.0,Spain,Female,30.0,5.0,0.0,2.0,0.0,1.0,157888.5,0.0 +632.0,France,Male,44.0,3.0,107764.75,1.0,1.0,0.0,185667.72,0.0 +414.0,Spain,Male,60.0,3.0,0.0,2.0,1.0,1.0,93844.82, +850.0,France,Male,31.0,1.0,96399.31,2.0,1.0,0.0,106534.15, +730.0,Germany,Male,45.0,6.0,152880.97,1.0,0.0,0.0,162478.11,0.0 +649.0,France,Female,41.0,3.0,130931.83,1.0,1.0,1.0,144808.37,0.0 +587.0,France,Male,33.0,5.0,100116.82,1.0,1.0,0.0,34215.58,0.0 +703.0,France,Female,32.0,6.0,0.0,2.0,0.0,0.0,33606.52, +552.0,France,Female,38.0,9.0,134105.01,1.0,0.0,0.0,57850.1,1.0 +704.0,France,Female,45.0,6.0,0.0,1.0,1.0,1.0,137739.45,0.0 +504.0,Spain,Male,34.0,0.0,54980.81,1.0,1.0,1.0,136909.88, +575.0,Spain,Male,52.0,8.0,123925.23,1.0,0.0,0.0,111342.66,0.0 +549.0,Germany,Male,45.0,6.0,124240.93,1.0,1.0,1.0,146372.51,0.0 +620.0,France,Male,41.0,0.0,97925.11,1.0,1.0,0.0,85000.32,0.0 +754.0,France,Female,47.0,1.0,185513.67,1.0,1.0,0.0,27438.83,0.0 +672.0,Spain,Female,56.0,2.0,209767.31,2.0,1.0,1.0,150694.42,0.0 +530.0,France,Female,33.0,4.0,129307.32,1.0,1.0,1.0,172930.28,0.0 +555.0,Spain,Male,27.0,5.0,0.0,2.0,0.0,0.0,96398.51,1.0 +631.0,Germany,Female,34.0,6.0,125227.82,2.0,0.0,1.0,128247.03,0.0 +686.0,Germany,Female,56.0,5.0,111642.08,1.0,1.0,1.0,80553.87,1.0 +435.0,France,Male,54.0,3.0,0.0,1.0,1.0,0.0,156910.46, +553.0,Spain,Male,47.0,3.0,116528.15,1.0,0.0,0.0,145704.19,0.0 +747.0,France,Male,43.0,1.0,130788.71,1.0,0.0,1.0,101495.0, +680.0,France,Female,34.0,1.0,0.0,2.0,1.0,0.0,167035.07,0.0 +711.0,France,Male,28.0,8.0,0.0,2.0,1.0,1.0,64286.39,0.0 +800.0,France,Male,60.0,6.0,88541.57,2.0,1.0,1.0,131718.12,0.0 +674.0,France,Female,32.0,7.0,85757.93,1.0,1.0,1.0,95481.0,0.0 +779.0,Germany,Female,40.0,2.0,75470.23,1.0,1.0,1.0,52894.01,0.0 +643.0,France,Male,39.0,7.0,0.0,2.0,1.0,1.0,170392.59, +672.0,France,Male,31.0,6.0,91125.75,1.0,1.0,0.0,177295.92,0.0 +486.0,France,Male,63.0,9.0,97009.15,1.0,1.0,1.0,85101.0,1.0 +762.0,Germany,Male,56.0,10.0,100260.88,3.0,1.0,1.0,77142.42,0.0 +709.0,Germany,Female,39.0,9.0,124723.92,1.0,1.0,0.0,73641.86,0.0 +775.0,France,Female,32.0,2.0,108698.96,2.0,1.0,1.0,161069.73,1.0 +782.0,France,Male,32.0,9.0,0.0,1.0,1.0,1.0,87566.97,0.0 +698.0,France,Male,31.0,1.0,156111.24,1.0,0.0,0.0,134790.74,0.0 +740.0,France,Female,30.0,8.0,105209.54,1.0,1.0,0.0,1852.58,0.0 +713.0,Germany,Female,24.0,7.0,147687.24,1.0,1.0,1.0,121592.5, +629.0,France,Male,40.0,9.0,0.0,1.0,1.0,0.0,106.67,0.0 +457.0,France,Female,38.0,7.0,164496.99,1.0,1.0,1.0,163327.27, +579.0,Spain,Male,22.0,3.0,118680.57,1.0,1.0,1.0,49829.8,0.0 +621.0,France,Male,47.0,0.0,0.0,1.0,1.0,1.0,133831.37,0.0 +785.0,France,Male,55.0,5.0,0.0,2.0,1.0,1.0,7008.65, +705.0,Germany,Female,40.0,3.0,92889.91,1.0,1.0,1.0,109496.69,0.0 +555.0,Spain,Male,33.0,1.0,56084.69,2.0,0.0,0.0,178798.13,0.0 +775.0,France,Female,30.0,10.0,191091.74,2.0,1.0,1.0,96170.38, +653.0,France,Female,43.0,6.0,0.0,2.0,1.0,1.0,7330.59,0.0 +776.0,France,Female,29.0,7.0,178171.04,2.0,1.0,1.0,115818.51,0.0 +752.0,Spain,Female,31.0,4.0,144637.86,2.0,1.0,0.0,40496.72,0.0 +672.0,France,Female,40.0,3.0,0.0,1.0,1.0,0.0,113171.61,0.0 +498.0,Germany,Male,35.0,2.0,121968.11,2.0,0.0,1.0,188343.05, +561.0,Spain,Male,37.0,4.0,101470.29,1.0,0.0,1.0,88838.14, +591.0,France,Female,42.0,10.0,0.0,2.0,0.0,0.0,171099.22,1.0 +705.0,France,Female,48.0,0.0,0.0,2.0,0.0,0.0,149772.61,0.0 +702.0,France,Female,40.0,1.0,103549.24,1.0,0.0,0.0,9712.52,0.0 +413.0,France,Male,34.0,9.0,0.0,2.0,0.0,0.0,6534.18,0.0 +577.0,Spain,Male,41.0,4.0,89015.61,1.0,0.0,1.0,135227.23,0.0 +653.0,Germany,Male,41.0,1.0,104584.11,1.0,1.0,0.0,15126.32, +655.0,Germany,Female,30.0,1.0,83173.98,2.0,1.0,1.0,184259.6,0.0 +717.0,Spain,Male,35.0,1.0,0.0,3.0,0.0,0.0,174770.14,0.0 +693.0,Germany,Female,43.0,1.0,121927.92,1.0,1.0,0.0,87994.95, +593.0,Germany,Female,38.0,5.0,142658.04,2.0,0.0,1.0,135337.11, +659.0,Spain,Female,33.0,8.0,115409.6,1.0,0.0,1.0,1539.21,1.0 +770.0,France,Female,33.0,4.0,0.0,1.0,1.0,0.0,26080.54, +683.0,France,Male,38.0,7.0,109346.13,2.0,1.0,0.0,102665.92,0.0 +594.0,France,Male,40.0,9.0,122417.17,2.0,0.0,1.0,190882.69,0.0 +570.0,France,Male,32.0,9.0,117337.54,2.0,0.0,1.0,62810.91,1.0 +769.0,France,Male,29.0,2.0,123757.52,2.0,1.0,0.0,84872.66,0.0 +751.0,France,Female,37.0,9.0,183613.66,2.0,0.0,0.0,49734.94, +434.0,Germany,Male,55.0,8.0,109339.17,2.0,1.0,0.0,96405.88,0.0 +572.0,Germany,Female,48.0,3.0,152827.99,1.0,1.0,0.0,38411.79,1.0 +526.0,Germany,Female,35.0,9.0,118536.4,1.0,1.0,0.0,40980.87,0.0 +766.0,France,Female,45.0,6.0,0.0,2.0,0.0,0.0,147184.74, +530.0,France,Female,34.0,8.0,0.0,2.0,0.0,1.0,141872.52,0.0 +610.0,France,Male,34.0,0.0,103108.17,1.0,0.0,0.0,125646.82, +681.0,Spain,Female,32.0,3.0,0.0,2.0,1.0,1.0,59679.9,0.0 +641.0,Spain,Male,40.0,5.0,102145.13,1.0,1.0,1.0,100637.07,0.0 +696.0,Germany,Female,31.0,8.0,122021.92,2.0,1.0,0.0,33828.64,1.0 +562.0,France,Female,51.0,7.0,122822.0,2.0,0.0,0.0,32626.21, +828.0,France,Female,41.0,7.0,0.0,2.0,1.0,0.0,171378.77,0.0 +601.0,France,Male,38.0,4.0,60013.81,1.0,1.0,1.0,38020.05, +720.0,France,Female,38.0,10.0,0.0,2.0,1.0,1.0,56229.72,0.0 +687.0,France,Male,38.0,9.0,122570.87,1.0,1.0,1.0,35608.88,0.0 +583.0,Germany,Male,35.0,8.0,149995.72,2.0,1.0,0.0,42143.55, +624.0,France,Male,44.0,3.0,0.0,2.0,1.0,0.0,88407.51,0.0 +714.0,France,Male,46.0,1.0,0.0,1.0,1.0,0.0,152167.79,0.0 +697.0,Germany,Female,74.0,3.0,108071.36,2.0,1.0,1.0,16445.79,0.0 +729.0,Germany,Male,29.0,5.0,109676.52,1.0,1.0,1.0,25548.47,0.0 +632.0,Germany,Male,42.0,6.0,59972.26,2.0,0.0,1.0,148172.94,0.0 +523.0,France,Female,73.0,7.0,0.0,2.0,0.0,0.0,130883.9,0.0 +616.0,Germany,Female,43.0,7.0,95984.21,1.0,0.0,1.0,115262.54, +508.0,France,Female,60.0,7.0,143262.04,1.0,1.0,1.0,129562.74,1.0 +616.0,Germany,Female,28.0,10.0,105173.99,1.0,0.0,1.0,29835.37,0.0 +705.0,France,Female,24.0,7.0,100169.51,1.0,1.0,0.0,121408.55,0.0 +609.0,Spain,Female,43.0,6.0,86053.52,2.0,1.0,1.0,113276.46,0.0 +502.0,Germany,Male,33.0,5.0,174673.65,2.0,1.0,0.0,33300.56,1.0 +605.0,France,Male,36.0,7.0,128829.25,1.0,1.0,0.0,190588.59, +802.0,Germany,Male,37.0,9.0,115569.21,1.0,0.0,1.0,119782.89, +750.0,Spain,Female,33.0,3.0,161801.47,1.0,0.0,1.0,153288.97,0.0 +636.0,France,Female,20.0,10.0,124266.86,1.0,0.0,0.0,100566.81, +587.0,Germany,Female,37.0,6.0,104414.03,1.0,1.0,0.0,192026.02,0.0 +408.0,France,Male,40.0,3.0,0.0,2.0,0.0,0.0,124874.23, +610.0,Spain,Female,37.0,10.0,140363.95,2.0,1.0,1.0,129563.86,0.0 +673.0,France,Male,32.0,8.0,121240.76,1.0,1.0,0.0,116969.73, +732.0,Germany,Male,50.0,6.0,145338.76,1.0,0.0,0.0,91936.1,0.0 +559.0,France,Male,32.0,9.0,145303.52,1.0,1.0,0.0,103560.98,0.0 +759.0,France,Female,33.0,2.0,0.0,2.0,1.0,0.0,56583.88,0.0 +733.0,Germany,Female,30.0,1.0,102452.71,1.0,1.0,0.0,21556.95,1.0 +466.0,France,Male,26.0,3.0,156815.71,1.0,1.0,1.0,137476.09,1.0 +421.0,France,Male,34.0,2.0,0.0,2.0,1.0,1.0,96615.23, +767.0,Germany,Female,33.0,1.0,144753.21,1.0,1.0,1.0,132480.75,0.0 +819.0,Germany,Female,49.0,1.0,120656.86,4.0,0.0,0.0,166164.3,0.0 +641.0,France,Female,42.0,7.0,125437.14,2.0,0.0,0.0,164128.58,0.0 +650.0,Spain,Male,42.0,4.0,194532.66,1.0,1.0,0.0,171045.31,1.0 +465.0,Germany,Male,24.0,6.0,156007.09,1.0,1.0,0.0,191368.37, +695.0,Spain,Male,28.0,0.0,96020.86,1.0,1.0,1.0,57992.49,0.0 +781.0,France,Female,28.0,4.0,0.0,2.0,1.0,0.0,177703.15,0.0 +680.0,Spain,Male,36.0,7.0,0.0,2.0,1.0,0.0,20109.21, +591.0,Spain,Male,58.0,5.0,128468.69,1.0,0.0,1.0,137254.55,0.0 +764.0,France,Female,44.0,1.0,0.0,2.0,1.0,1.0,11467.38,1.0 +745.0,France,Female,33.0,1.0,0.0,2.0,1.0,1.0,174431.01,0.0 +690.0,Germany,Male,43.0,2.0,166522.78,1.0,0.0,0.0,119644.59,0.0 +623.0,Spain,Male,46.0,4.0,0.0,1.0,1.0,0.0,5549.11, +743.0,France,Male,43.0,5.0,0.0,2.0,0.0,0.0,113079.19,0.0 +599.0,Spain,Male,36.0,4.0,0.0,2.0,0.0,0.0,13210.56,0.0 +814.0,France,Female,48.0,7.0,0.0,2.0,1.0,1.0,132870.15,1.0 +598.0,France,Female,64.0,9.0,0.0,1.0,0.0,1.0,13181.37,0.0 +735.0,France,Male,49.0,5.0,121973.28,1.0,1.0,0.0,148804.36,0.0 +718.0,Germany,Female,33.0,4.0,70541.06,1.0,0.0,0.0,88592.8, +722.0,Germany,Female,48.0,10.0,138311.76,1.0,1.0,1.0,3472.63,0.0 +679.0,France,Male,36.0,1.0,97234.58,1.0,1.0,0.0,188997.08,1.0 +668.0,Germany,Female,37.0,6.0,167864.4,1.0,1.0,0.0,115638.29,0.0 +481.0,France,Male,40.0,3.0,0.0,1.0,1.0,1.0,32319.93, +626.0,France,Male,44.0,10.0,0.0,2.0,0.0,0.0,164287.86,1.0 +596.0,France,Male,33.0,2.0,139451.67,1.0,0.0,0.0,63142.12,0.0 +594.0,Germany,Male,40.0,0.0,152092.44,2.0,1.0,1.0,83508.93,0.0 +684.0,France,Male,46.0,0.0,0.0,2.0,1.0,1.0,36376.97,0.0 +808.0,France,Male,24.0,4.0,122168.65,1.0,1.0,0.0,174107.04, +500.0,Spain,Male,40.0,1.0,99004.24,1.0,1.0,1.0,152845.99, +497.0,Germany,Male,24.0,6.0,111769.14,2.0,1.0,0.0,55859.27,0.0 +720.0,Spain,Male,33.0,6.0,97188.62,1.0,0.0,0.0,91881.29,0.0 +599.0,Germany,Male,46.0,9.0,123444.72,1.0,1.0,1.0,31368.08,0.0 +694.0,Spain,Female,39.0,9.0,0.0,2.0,0.0,0.0,99924.04,1.0 +778.0,Germany,Female,35.0,1.0,151958.19,3.0,1.0,1.0,131238.37,0.0 +679.0,France,Male,60.0,8.0,0.0,2.0,1.0,1.0,51380.9,1.0 +776.0,Spain,Male,30.0,6.0,0.0,2.0,0.0,1.0,63908.86,0.0 +613.0,Germany,Male,33.0,3.0,155736.42,2.0,1.0,1.0,57751.21, +545.0,France,Male,37.0,3.0,91184.01,1.0,1.0,0.0,105476.65, +490.0,France,Male,34.0,5.0,122952.9,2.0,0.0,0.0,154360.97,1.0 +683.0,France,Female,33.0,9.0,0.0,2.0,1.0,1.0,38784.42,0.0 +673.0,France,Male,51.0,8.0,79563.36,2.0,1.0,1.0,172200.91, +569.0,Spain,Female,34.0,6.0,144855.34,1.0,0.0,0.0,196555.32,0.0 +766.0,Germany,Female,28.0,4.0,90696.78,1.0,0.0,1.0,21597.2, +528.0,Spain,Male,43.0,7.0,97473.87,2.0,1.0,1.0,159823.16,0.0 +704.0,France,Male,50.0,4.0,165438.26,1.0,1.0,0.0,120770.75,0.0 +434.0,France,Male,41.0,4.0,108128.52,1.0,0.0,1.0,56784.11, +624.0,France,Female,32.0,2.0,79368.87,2.0,1.0,1.0,145471.94,0.0 +663.0,Germany,Male,49.0,7.0,116150.65,3.0,1.0,1.0,84358.71,0.0 +652.0,France,Female,32.0,2.0,0.0,2.0,1.0,0.0,54628.11,0.0 +584.0,Germany,Female,30.0,8.0,112013.81,1.0,1.0,0.0,177772.03,1.0 +661.0,France,Male,35.0,9.0,100107.99,1.0,1.0,0.0,83949.68,0.0 +570.0,Germany,Female,50.0,5.0,129293.74,1.0,1.0,0.0,177805.44,1.0 +582.0,Germany,Male,26.0,6.0,114450.32,1.0,1.0,1.0,14081.64,0.0 +613.0,Germany,Female,43.0,10.0,120481.69,1.0,0.0,0.0,94875.03,1.0 +716.0,Germany,Female,30.0,2.0,205770.78,2.0,0.0,0.0,65464.66,0.0 +793.0,Germany,Male,54.0,2.0,128966.13,1.0,0.0,0.0,18633.4,0.0 +621.0,Germany,Female,30.0,2.0,101014.08,2.0,1.0,1.0,165257.31,1.0 +494.0,Germany,Male,37.0,5.0,107106.33,2.0,1.0,0.0,172063.09,0.0 +689.0,Spain,Female,55.0,4.0,0.0,2.0,1.0,1.0,58442.25, +485.0,France,Female,39.0,2.0,75339.64,1.0,1.0,1.0,70665.16, +706.0,Spain,Male,28.0,3.0,0.0,2.0,0.0,1.0,181543.67,0.0 +653.0,France,Male,47.0,6.0,0.0,1.0,1.0,0.0,50695.93,0.0 +676.0,France,Male,30.0,1.0,128207.23,1.0,1.0,1.0,55400.17,0.0 +754.0,France,Female,45.0,6.0,0.0,1.0,1.0,0.0,73881.68, +600.0,Spain,Female,27.0,6.0,0.0,2.0,1.0,1.0,172031.22, +650.0,Germany,Male,34.0,4.0,142393.11,1.0,1.0,1.0,11276.48,0.0 +559.0,France,Female,43.0,1.0,0.0,1.0,0.0,1.0,86634.3,0.0 +576.0,France,Male,39.0,9.0,84719.98,1.0,0.0,0.0,191063.36,0.0 +540.0,Spain,Male,39.0,2.0,0.0,2.0,1.0,0.0,81995.92, +626.0,Germany,Male,36.0,2.0,181671.16,2.0,1.0,1.0,57531.14,0.0 +660.0,Germany,Male,46.0,5.0,109019.65,2.0,1.0,1.0,33680.56,1.0 +732.0,Spain,Female,69.0,9.0,137453.43,1.0,0.0,1.0,110932.24,0.0 +718.0,France,Female,25.0,7.0,0.0,2.0,1.0,0.0,30380.12,0.0 +622.0,France,Male,35.0,8.0,0.0,2.0,1.0,1.0,131772.51,1.0 +742.0,Germany,Male,33.0,0.0,181656.51,1.0,1.0,1.0,107667.91,0.0 +434.0,Spain,Male,33.0,3.0,0.0,1.0,1.0,1.0,2739.71,0.0 +513.0,France,Male,30.0,5.0,0.0,2.0,1.0,0.0,162523.66,0.0 +770.0,Germany,Male,37.0,5.0,141547.26,2.0,0.0,1.0,180326.83,0.0 +608.0,Germany,Male,26.0,1.0,106648.98,1.0,0.0,1.0,7063.6,1.0 +573.0,Spain,Male,44.0,8.0,0.0,2.0,0.0,0.0,62424.46,0.0 +621.0,Spain,Female,37.0,9.0,83061.26,2.0,1.0,0.0,9170.54,0.0 +664.0,France,Female,31.0,7.0,104158.84,1.0,1.0,0.0,134169.85,0.0 +512.0,France,Female,30.0,6.0,0.0,2.0,1.0,0.0,88827.31, +800.0,France,Female,49.0,7.0,108007.36,1.0,0.0,0.0,47125.11,1.0 +829.0,Germany,Male,28.0,3.0,132405.52,3.0,1.0,0.0,104889.2, +682.0,France,Male,69.0,6.0,0.0,2.0,0.0,1.0,149604.18, +700.0,France,Male,37.0,3.0,77608.46,2.0,1.0,1.0,175373.46,0.0 +692.0,Germany,Male,49.0,6.0,110540.43,2.0,0.0,1.0,107472.99,0.0 +666.0,France,Female,27.0,4.0,0.0,2.0,0.0,0.0,88751.45, +687.0,Spain,Female,21.0,8.0,0.0,2.0,1.0,1.0,154767.34,0.0 +487.0,France,Male,24.0,7.0,133628.09,2.0,1.0,1.0,98570.01,0.0 +794.0,France,Male,30.0,8.0,0.0,2.0,1.0,1.0,24113.91,0.0 +511.0,France,Female,46.0,1.0,0.0,1.0,1.0,1.0,115779.48,1.0 +806.0,Germany,Male,36.0,8.0,167983.17,2.0,1.0,1.0,106714.28, +614.0,Spain,Male,35.0,2.0,127283.78,1.0,1.0,1.0,31302.35,0.0 +527.0,Germany,Female,41.0,10.0,136733.24,1.0,1.0,1.0,57589.29,0.0 +628.0,Germany,Male,50.0,4.0,122227.71,1.0,0.0,1.0,14217.77,0.0 +609.0,Germany,Male,33.0,6.0,94126.67,1.0,0.0,0.0,93718.16,0.0 +509.0,France,Male,31.0,3.0,0.0,2.0,1.0,0.0,15360.91,0.0 +531.0,Germany,Female,31.0,7.0,117052.82,1.0,1.0,0.0,118508.09,1.0 +463.0,Spain,Female,35.0,2.0,0.0,2.0,1.0,1.0,1950.93,0.0 +454.0,France,Male,34.0,4.0,0.0,2.0,1.0,0.0,198817.72, +684.0,Germany,Male,29.0,8.0,127269.75,1.0,0.0,1.0,79495.01,1.0 +750.0,Spain,Female,38.0,7.0,97257.41,2.0,0.0,1.0,179883.04,0.0 +750.0,Germany,Male,42.0,8.0,151836.36,2.0,1.0,0.0,68695.38,0.0 +528.0,Spain,Male,40.0,4.0,0.0,2.0,1.0,0.0,25399.7,1.0 +762.0,Germany,Female,34.0,8.0,98592.88,1.0,0.0,1.0,191790.29,0.0 +686.0,Germany,Male,29.0,3.0,185379.02,1.0,1.0,0.0,64679.07, +749.0,France,Male,41.0,5.0,57568.94,1.0,1.0,1.0,61128.29,0.0 +614.0,Germany,Female,30.0,3.0,131344.52,2.0,1.0,0.0,54776.64,0.0 +663.0,France,Female,33.0,2.0,0.0,2.0,1.0,0.0,153295.0,0.0 +603.0,France,Male,31.0,4.0,0.0,2.0,0.0,1.0,9607.1,1.0 +593.0,Germany,Female,38.0,5.0,85626.6,1.0,1.0,1.0,125079.65,0.0 +643.0,Germany,Male,41.0,7.0,154902.66,1.0,1.0,1.0,49667.28,0.0 +494.0,Germany,Female,38.0,7.0,174937.64,1.0,1.0,0.0,40084.32,1.0 +510.0,France,Female,32.0,1.0,0.0,2.0,0.0,1.0,28515.17,0.0 +612.0,Spain,Male,33.0,5.0,69478.57,1.0,1.0,0.0,8973.67,0.0 +681.0,Germany,Female,48.0,8.0,139480.18,1.0,1.0,1.0,163581.67,0.0 +726.0,France,Female,31.0,9.0,114722.05,2.0,1.0,1.0,98178.57,0.0 +601.0,Spain,Male,24.0,7.0,0.0,2.0,0.0,0.0,144660.42,1.0 +695.0,Spain,Male,63.0,1.0,146202.93,1.0,1.0,1.0,126688.83,0.0 +701.0,France,Female,41.0,2.0,0.0,1.0,1.0,0.0,47856.78,0.0 +605.0,Spain,Male,41.0,5.0,103154.66,1.0,0.0,0.0,143203.78,0.0 +720.0,France,Female,43.0,6.0,137824.03,2.0,1.0,0.0,172557.77,1.0 +498.0,Germany,Male,25.0,8.0,121702.73,1.0,1.0,1.0,132210.49,0.0 +607.0,France,Female,33.0,8.0,91301.72,1.0,0.0,1.0,130824.57, +765.0,Spain,Female,32.0,9.0,178095.55,1.0,0.0,0.0,47247.56,0.0 +739.0,France,Male,29.0,1.0,0.0,2.0,1.0,1.0,164484.78,0.0 +758.0,France,Male,51.0,8.0,81710.46,1.0,1.0,1.0,116520.07,0.0 +738.0,France,Male,31.0,9.0,82674.15,1.0,1.0,0.0,41970.72,1.0 +684.0,France,Male,45.0,6.0,148071.39,1.0,1.0,0.0,183575.01,0.0 +643.0,Germany,Male,59.0,3.0,170331.37,1.0,1.0,1.0,32171.79,0.0 +591.0,Germany,Male,46.0,4.0,129269.27,1.0,1.0,0.0,163504.33,0.0 +594.0,Germany,Male,18.0,1.0,132694.73,1.0,1.0,0.0,167689.56, +611.0,France,Female,40.0,2.0,125879.29,1.0,1.0,0.0,93203.43,0.0 +687.0,France,Male,38.0,0.0,144450.58,1.0,0.0,1.0,137276.83, +850.0,France,Male,38.0,1.0,0.0,2.0,1.0,1.0,80006.65,0.0 +722.0,France,Female,35.0,2.0,163943.89,2.0,1.0,1.0,15068.18,0.0 +608.0,Spain,Female,41.0,3.0,89763.84,1.0,0.0,0.0,199304.74,0.0 +718.0,France,Male,36.0,9.0,0.0,1.0,1.0,0.0,45909.87,1.0 +699.0,France,Male,44.0,8.0,158697.61,1.0,1.0,0.0,107181.22, +625.0,Germany,Female,35.0,5.0,86147.46,2.0,1.0,0.0,163440.8,1.0 +569.0,France,Male,41.0,4.0,120243.49,1.0,1.0,0.0,163150.03,1.0 +708.0,France,Female,33.0,8.0,0.0,2.0,0.0,1.0,15246.83,0.0 +850.0,Germany,Female,35.0,7.0,114285.2,1.0,0.0,1.0,129660.59,0.0 +706.0,France,Male,54.0,9.0,117444.51,1.0,1.0,1.0,186238.85,0.0 +834.0,France,Male,36.0,8.0,142882.49,1.0,1.0,0.0,89983.02,0.0 +537.0,France,Female,53.0,3.0,0.0,1.0,1.0,1.0,91406.62,0.0 +756.0,France,Female,23.0,1.0,112568.31,1.0,1.0,1.0,113408.11,0.0 +671.0,Germany,Female,23.0,9.0,123943.18,1.0,1.0,1.0,159553.27,0.0 +627.0,Germany,Male,23.0,5.0,184244.86,1.0,1.0,0.0,103099.22,0.0 +760.0,Germany,Male,42.0,0.0,77992.97,2.0,1.0,1.0,97906.38,0.0 +439.0,Spain,Male,52.0,3.0,96196.24,4.0,1.0,0.0,198874.52,1.0 +507.0,Spain,Male,46.0,6.0,92783.68,1.0,1.0,1.0,51424.29,0.0 +698.0,Spain,Male,38.0,10.0,95010.92,1.0,1.0,1.0,105227.86,0.0 +681.0,France,Male,23.0,7.0,157761.56,1.0,0.0,0.0,147759.84,0.0 +734.0,France,Male,34.0,6.0,133598.4,1.0,1.0,1.0,13107.24,0.0 +429.0,France,Male,60.0,7.0,0.0,2.0,1.0,1.0,163691.48,0.0 +693.0,Germany,Male,45.0,2.0,116546.59,2.0,0.0,0.0,23140.28,0.0 +796.0,Germany,Female,52.0,9.0,167194.36,1.0,1.0,1.0,62808.93,0.0 +656.0,Spain,Male,47.0,1.0,0.0,2.0,1.0,1.0,197961.93,0.0 +625.0,Germany,Male,56.0,0.0,148507.24,1.0,1.0,0.0,46824.08,0.0 +686.0,France,Male,25.0,1.0,0.0,2.0,0.0,1.0,16459.37,1.0 +702.0,Spain,Female,38.0,2.0,0.0,1.0,1.0,1.0,161888.63,1.0 +451.0,France,Male,33.0,6.0,0.0,2.0,1.0,0.0,184954.11,0.0 +418.0,France,Female,39.0,2.0,0.0,2.0,0.0,0.0,9041.71,0.0 +648.0,Germany,Male,34.0,3.0,95039.73,2.0,1.0,1.0,147055.87,0.0 +699.0,Germany,Male,36.0,2.0,123601.56,2.0,1.0,0.0,103557.85,0.0 +850.0,Germany,Male,32.0,9.0,141827.33,2.0,1.0,1.0,149458.73,0.0 +767.0,France,Male,36.0,3.0,0.0,1.0,0.0,0.0,65147.27,0.0 +742.0,France,Female,60.0,4.0,0.0,1.0,1.0,1.0,13161.66,0.0 +572.0,France,Female,36.0,8.0,68348.18,2.0,0.0,1.0,50400.32,0.0 +544.0,France,Male,48.0,10.0,78314.63,3.0,1.0,1.0,103713.93,1.0 +727.0,France,Male,61.0,0.0,128213.96,2.0,1.0,1.0,188729.08, +490.0,France,Female,35.0,7.0,107749.03,1.0,1.0,1.0,3937.37,0.0 +803.0,Spain,Male,43.0,3.0,0.0,1.0,1.0,0.0,72051.44,0.0 +517.0,Germany,Male,53.0,0.0,109172.88,1.0,1.0,0.0,54676.1,0.0 +679.0,France,Female,33.0,1.0,0.0,2.0,0.0,0.0,69608.48,0.0 +539.0,Germany,Female,43.0,3.0,116220.5,3.0,1.0,0.0,55803.96,0.0 +641.0,France,Male,41.0,6.0,0.0,2.0,1.0,0.0,65396.79,0.0 +508.0,France,Male,44.0,3.0,115451.05,2.0,0.0,0.0,67234.33,1.0 +674.0,France,Male,45.0,7.0,142072.02,1.0,1.0,0.0,37013.29,0.0 +640.0,Spain,Male,47.0,6.0,89047.14,1.0,1.0,0.0,116286.25, +714.0,Germany,Female,45.0,9.0,106431.97,2.0,1.0,1.0,164117.69,0.0 +608.0,France,Male,50.0,6.0,0.0,1.0,1.0,0.0,93568.77,1.0 +748.0,Spain,Male,39.0,3.0,0.0,2.0,1.0,1.0,123998.52, +680.0,France,Male,23.0,5.0,140007.19,1.0,0.0,1.0,31714.08,0.0 +446.0,Spain,Female,45.0,10.0,125191.69,1.0,1.0,1.0,128260.86, +666.0,Germany,Female,37.0,2.0,158468.76,1.0,0.0,1.0,93266.01,0.0 +533.0,Spain,Female,52.0,7.0,0.0,1.0,0.0,1.0,194113.99,0.0 +768.0,Germany,Male,48.0,3.0,122831.58,1.0,1.0,1.0,24533.89, +644.0,France,Male,31.0,5.0,0.0,2.0,1.0,1.0,41872.17, +631.0,France,Male,26.0,1.0,149144.61,1.0,0.0,1.0,123697.95,0.0 +534.0,Spain,Female,33.0,3.0,151233.62,1.0,0.0,0.0,199336.63,1.0 +755.0,France,Male,41.0,6.0,104817.41,1.0,1.0,0.0,126013.58,1.0 +604.0,Spain,Female,26.0,3.0,0.0,2.0,1.0,0.0,155248.62,0.0 +671.0,Germany,Male,35.0,1.0,144848.74,1.0,1.0,1.0,179012.3,0.0 +601.0,France,Male,29.0,9.0,0.0,1.0,1.0,1.0,80393.27,0.0 +703.0,France,Male,32.0,1.0,125685.79,1.0,1.0,1.0,56246.72,0.0 +684.0,Germany,Male,35.0,3.0,99967.76,1.0,1.0,1.0,176882.08, +584.0,France,Male,49.0,8.0,172713.44,1.0,1.0,0.0,113860.81,0.0 +559.0,France,Male,45.0,8.0,24043.45,1.0,0.0,1.0,169781.45,0.0 +677.0,Germany,Female,36.0,10.0,68806.84,1.0,1.0,0.0,33075.24, +690.0,Spain,Female,26.0,2.0,0.0,2.0,1.0,1.0,93255.85, +572.0,France,Male,33.0,9.0,68193.72,1.0,1.0,0.0,19998.31,0.0 +716.0,France,Male,35.0,4.0,144428.87,1.0,1.0,0.0,134132.65,0.0 +547.0,Spain,Female,22.0,7.0,141287.15,1.0,1.0,0.0,118142.79,0.0 +732.0,Germany,Female,42.0,2.0,118889.66,2.0,0.0,0.0,87422.15,1.0 +570.0,Germany,Male,35.0,6.0,85668.59,1.0,1.0,0.0,105525.36,1.0 +521.0,France,Male,27.0,4.0,121325.84,1.0,1.0,1.0,164223.7,1.0 +646.0,Spain,Male,69.0,10.0,115462.44,1.0,1.0,0.0,40421.87,0.0 +675.0,Spain,Female,40.0,8.0,79035.95,1.0,1.0,0.0,142783.98, +738.0,Germany,Female,29.0,9.0,139106.19,1.0,1.0,0.0,141872.05,0.0 +596.0,Spain,Female,30.0,1.0,0.0,2.0,1.0,0.0,8125.39, +660.0,Spain,Male,30.0,4.0,0.0,2.0,1.0,0.0,129149.06,1.0 +567.0,Spain,Male,40.0,8.0,28649.64,1.0,1.0,1.0,95140.62, +498.0,France,Female,30.0,1.0,0.0,2.0,0.0,0.0,135795.53,0.0 +611.0,France,Female,53.0,7.0,0.0,2.0,0.0,1.0,156495.39, +498.0,Germany,Male,61.0,7.0,102453.26,1.0,1.0,0.0,187247.56,0.0 +670.0,France,Female,41.0,10.0,0.0,3.0,1.0,0.0,81602.02,0.0 +568.0,Spain,Female,46.0,3.0,0.0,2.0,1.0,1.0,29372.62, +703.0,France,Male,28.0,2.0,81173.83,2.0,0.0,1.0,162812.16,1.0 +730.0,Spain,Female,62.0,2.0,0.0,2.0,1.0,1.0,162889.1,1.0 +730.0,France,Male,34.0,1.0,0.0,2.0,1.0,1.0,126592.01,1.0 +658.0,France,Male,42.0,8.0,102870.93,1.0,0.0,1.0,103764.55,0.0 +675.0,Spain,Male,66.0,5.0,115654.47,2.0,1.0,1.0,131970.86,0.0 +638.0,Germany,Female,26.0,1.0,105249.76,2.0,1.0,1.0,23491.09, +601.0,Germany,Male,48.0,9.0,163630.76,1.0,0.0,1.0,41816.49,0.0 +566.0,Germany,Male,65.0,4.0,120100.41,1.0,1.0,0.0,107563.16,0.0 +703.0,France,Male,37.0,1.0,149762.08,1.0,1.0,0.0,20629.4,1.0 +537.0,Germany,Male,66.0,8.0,103291.25,2.0,1.0,1.0,130664.79, +427.0,France,Male,37.0,5.0,0.0,2.0,1.0,1.0,121485.1,0.0 +628.0,Spain,Male,42.0,7.0,0.0,2.0,0.0,1.0,172967.87,0.0 +549.0,France,Female,34.0,4.0,0.0,2.0,0.0,0.0,139463.57,0.0 +576.0,Germany,Male,63.0,3.0,148843.56,1.0,1.0,0.0,69414.13,0.0 +443.0,Spain,Male,36.0,6.0,70438.01,2.0,0.0,1.0,56937.43,0.0 +585.0,Spain,Female,56.0,1.0,128472.8,1.0,1.0,0.0,186476.91,0.0 +748.0,France,Male,33.0,1.0,142645.43,1.0,0.0,0.0,69132.66,1.0 +494.0,France,Male,40.0,7.0,0.0,2.0,0.0,1.0,158071.69,1.0 +442.0,France,Male,34.0,4.0,0.0,2.0,1.0,0.0,68343.08,0.0 +633.0,France,Male,40.0,4.0,150578.0,1.0,0.0,1.0,34670.62,0.0 +573.0,Germany,Male,31.0,0.0,134644.19,1.0,1.0,1.0,70381.49,0.0 +708.0,Germany,Male,21.0,8.0,133974.36,2.0,1.0,0.0,50294.09, +800.0,Spain,Male,38.0,1.0,0.0,2.0,1.0,0.0,51553.43,0.0 +635.0,France,Male,43.0,10.0,122198.21,2.0,0.0,1.0,179144.54,0.0 +589.0,France,Male,34.0,6.0,0.0,2.0,1.0,1.0,177896.92,0.0 +631.0,Germany,Male,37.0,8.0,138292.64,2.0,0.0,0.0,152422.91,0.0 +718.0,France,Female,35.0,2.0,167924.95,1.0,1.0,0.0,43024.64,1.0 +607.0,France,Female,21.0,0.0,0.0,2.0,1.0,0.0,116106.52,0.0 +800.0,France,Female,29.0,2.0,0.0,2.0,0.0,0.0,167773.55, +350.0,Germany,Male,39.0,0.0,109733.2,2.0,0.0,0.0,123602.11,0.0 +706.0,Spain,Male,24.0,2.0,141078.57,1.0,1.0,1.0,24402.87, +706.0,France,Male,38.0,1.0,0.0,2.0,1.0,0.0,122379.54, +781.0,Spain,Male,35.0,4.0,80790.74,1.0,1.0,0.0,116429.51,0.0 +654.0,Spain,Female,36.0,2.0,0.0,2.0,1.0,1.0,146652.11, +580.0,France,Female,56.0,1.0,131368.3,1.0,1.0,0.0,106918.67,0.0 +741.0,France,Male,32.0,8.0,0.0,2.0,1.0,0.0,143598.7,0.0 +709.0,France,Female,32.0,2.0,87814.89,1.0,1.0,0.0,138578.37,1.0 +706.0,Germany,Male,31.0,1.0,117020.08,2.0,1.0,0.0,54439.53,1.0 +472.0,France,Female,37.0,1.0,0.0,2.0,1.0,1.0,48357.9, +783.0,Germany,Female,42.0,2.0,139707.28,1.0,1.0,0.0,2150.22,0.0 +649.0,France,Female,52.0,8.0,49113.75,1.0,1.0,0.0,41858.43,0.0 +608.0,France,Female,34.0,4.0,88772.87,1.0,1.0,1.0,168822.01, +726.0,Germany,Female,33.0,7.0,99046.31,2.0,1.0,1.0,56053.06,0.0 +518.0,France,Male,40.0,4.0,0.0,2.0,0.0,1.0,194416.58,0.0 +692.0,France,Female,36.0,3.0,0.0,2.0,1.0,1.0,8282.22,0.0 +485.0,France,Male,29.0,7.0,182123.79,1.0,1.0,0.0,116828.51,0.0 +756.0,France,Female,28.0,6.0,0.0,1.0,1.0,1.0,164394.65,0.0 +557.0,France,Male,39.0,8.0,146200.01,1.0,1.0,0.0,177944.64,0.0 +627.0,France,Male,31.0,8.0,128131.73,1.0,1.0,0.0,96131.47,0.0 +554.0,France,Female,30.0,9.0,0.0,2.0,1.0,1.0,40320.3,0.0 +736.0,France,Female,42.0,7.0,117280.23,3.0,0.0,0.0,41921.06,0.0 +466.0,France,Female,36.0,5.0,119540.15,1.0,0.0,1.0,80603.99,1.0 +546.0,Spain,Male,42.0,7.0,139070.51,1.0,1.0,1.0,86945.0,0.0 +651.0,Spain,Female,63.0,8.0,129968.67,1.0,1.0,1.0,11830.53, +649.0,France,Female,31.0,2.0,0.0,2.0,1.0,0.0,15200.61,0.0 +712.0,Germany,Female,40.0,3.0,109308.79,2.0,1.0,0.0,120158.72,0.0 +707.0,Spain,Female,53.0,6.0,109663.47,1.0,1.0,1.0,52110.45,0.0 +512.0,France,Male,40.0,5.0,0.0,2.0,1.0,1.0,146457.83,0.0 +549.0,Spain,Female,39.0,7.0,0.0,1.0,0.0,0.0,81259.25,1.0 +667.0,France,Male,40.0,9.0,0.0,1.0,1.0,1.0,96670.2,1.0 +737.0,Spain,Female,45.0,2.0,0.0,2.0,0.0,1.0,177695.67,0.0 +735.0,France,Male,31.0,3.0,119558.35,1.0,0.0,0.0,72927.68,0.0 +612.0,Germany,Male,44.0,2.0,115163.38,1.0,1.0,1.0,97677.52,0.0 +520.0,France,Male,38.0,5.0,0.0,2.0,1.0,0.0,163185.76,0.0 +850.0,Germany,Female,36.0,0.0,136980.23,2.0,1.0,1.0,99019.65,1.0 +513.0,France,Male,40.0,3.0,141004.46,1.0,1.0,0.0,105028.46,1.0 +611.0,France,Male,68.0,5.0,82547.11,2.0,1.0,1.0,146448.01,0.0 +696.0,Germany,Male,43.0,4.0,114091.38,1.0,0.0,1.0,159888.1,0.0 +850.0,France,Male,43.0,7.0,0.0,2.0,1.0,1.0,173851.11, +706.0,Germany,Female,48.0,10.0,104478.12,3.0,0.0,1.0,158248.71,0.0 +548.0,Spain,Male,39.0,7.0,131468.44,1.0,1.0,0.0,164975.82,0.0 +621.0,France,Male,26.0,2.0,75237.54,1.0,0.0,1.0,44220.4,0.0 +771.0,Germany,Male,32.0,9.0,77487.2,1.0,0.0,0.0,33143.04,0.0 +698.0,Spain,Female,50.0,1.0,0.0,4.0,1.0,0.0,88566.9, +708.0,Spain,Male,46.0,7.0,68799.72,1.0,1.0,1.0,39704.14,0.0 +644.0,Spain,Male,54.0,6.0,0.0,1.0,0.0,1.0,84622.37,0.0 +577.0,France,Male,36.0,3.0,121092.47,2.0,0.0,1.0,143783.46,0.0 +582.0,Spain,Female,46.0,8.0,67563.31,1.0,1.0,0.0,44506.09,0.0 +565.0,Germany,Female,32.0,4.0,90322.99,2.0,0.0,1.0,118740.37,1.0 +770.0,France,Male,36.0,2.0,89800.14,1.0,1.0,1.0,105922.69,0.0 +747.0,Spain,Female,41.0,5.0,94521.17,2.0,1.0,0.0,194926.86,0.0 +524.0,Germany,Female,25.0,7.0,131402.21,1.0,0.0,0.0,193668.49,1.0 +747.0,France,Female,40.0,3.0,0.0,1.0,0.0,0.0,57817.84,1.0 +640.0,Germany,Male,45.0,8.0,120591.19,1.0,0.0,0.0,195123.94, +694.0,Spain,Female,37.0,3.0,0.0,2.0,1.0,1.0,147012.22,1.0 +661.0,Spain,Female,35.0,5.0,128415.45,1.0,1.0,0.0,142626.49,0.0 +635.0,France,Female,58.0,1.0,0.0,1.0,1.0,1.0,58907.08,0.0 +826.0,France,Female,30.0,5.0,0.0,2.0,0.0,1.0,157397.57,1.0 +534.0,France,Female,23.0,5.0,104822.45,1.0,0.0,1.0,160176.47,0.0 +569.0,Spain,Male,38.0,8.0,0.0,2.0,0.0,0.0,79618.79,0.0 +850.0,Germany,Female,31.0,3.0,51293.47,1.0,0.0,0.0,35534.68,1.0 +511.0,France,Male,27.0,8.0,0.0,2.0,1.0,1.0,49089.36,0.0 +636.0,Germany,Male,30.0,8.0,141787.31,2.0,1.0,1.0,109685.61,0.0 +748.0,France,Male,34.0,5.0,84009.47,1.0,1.0,1.0,137001.1,0.0 +689.0,Germany,Male,33.0,2.0,161814.64,2.0,1.0,0.0,169381.9,0.0 +757.0,France,Female,44.0,4.0,123322.15,1.0,1.0,0.0,137136.29,0.0 +686.0,Spain,Male,45.0,3.0,74274.87,3.0,1.0,0.0,64907.48,1.0 +626.0,Spain,Female,37.0,6.0,108269.37,1.0,1.0,0.0,5597.94,1.0 +541.0,France,Male,34.0,3.0,128743.55,1.0,1.0,0.0,134851.12,0.0 +527.0,France,Male,47.0,1.0,0.0,1.0,1.0,0.0,21312.16,1.0 +665.0,Germany,Male,63.0,7.0,104469.58,1.0,1.0,1.0,25165.36, +772.0,Spain,Female,39.0,4.0,122486.11,2.0,1.0,1.0,140709.25,1.0 +543.0,France,Female,36.0,3.0,0.0,2.0,0.0,0.0,26019.59,0.0 +739.0,France,Female,36.0,0.0,0.0,2.0,0.0,0.0,133465.57,1.0 +577.0,France,Male,41.0,6.0,0.0,1.0,1.0,1.0,167621.18, +732.0,Germany,Male,38.0,5.0,178787.54,1.0,1.0,1.0,195760.53,0.0 +794.0,France,Male,33.0,0.0,0.0,2.0,0.0,0.0,178122.71, +788.0,France,Female,41.0,6.0,0.0,1.0,1.0,1.0,25571.37,1.0 +667.0,France,Male,24.0,4.0,0.0,2.0,0.0,0.0,180329.83, +792.0,France,Female,70.0,3.0,0.0,2.0,1.0,1.0,172240.27, +674.0,Germany,Male,47.0,6.0,106901.94,1.0,1.0,1.0,2079.2,0.0 +494.0,France,Male,69.0,9.0,93320.8,1.0,1.0,1.0,24489.44,0.0 +651.0,France,Female,34.0,9.0,0.0,2.0,1.0,0.0,138113.71,0.0 +652.0,France,Female,40.0,4.0,79927.36,2.0,1.0,1.0,33524.6,0.0 +512.0,France,Female,33.0,6.0,121685.31,2.0,1.0,1.0,83681.97,0.0 +850.0,Germany,Female,43.0,8.0,92244.83,2.0,1.0,0.0,54949.73, +580.0,Spain,Female,65.0,1.0,0.0,2.0,0.0,1.0,103182.46,1.0 +719.0,France,Female,42.0,4.0,0.0,1.0,1.0,0.0,28465.86,1.0 +721.0,France,Female,40.0,7.0,0.0,2.0,1.0,1.0,122580.48,0.0 +550.0,Germany,Male,36.0,2.0,113877.23,2.0,1.0,0.0,174921.91, +568.0,France,Female,47.0,7.0,0.0,2.0,1.0,1.0,45978.39,0.0 +570.0,Spain,Male,21.0,7.0,116099.82,1.0,1.0,1.0,148087.62,0.0 +676.0,Spain,Male,27.0,4.0,0.0,1.0,0.0,1.0,107955.67,0.0 +596.0,Germany,Male,32.0,3.0,96709.07,2.0,0.0,0.0,41788.37,0.0 +709.0,Germany,Male,28.0,8.0,124695.72,2.0,1.0,0.0,145251.35,0.0 +631.0,Germany,Male,37.0,9.0,131519.49,2.0,1.0,1.0,51752.18,0.0 +672.0,Germany,Female,21.0,3.0,165878.76,2.0,1.0,1.0,164537.17,0.0 +685.0,France,Male,33.0,6.0,174912.72,1.0,1.0,1.0,43932.54,1.0 +743.0,France,Female,46.0,9.0,0.0,1.0,1.0,0.0,113436.08, +790.0,Spain,Male,46.0,8.0,182364.53,1.0,0.0,0.0,139266.48,0.0 +850.0,Spain,Male,41.0,8.0,132838.07,1.0,1.0,1.0,175347.28, +564.0,France,Male,31.0,4.0,0.0,2.0,1.0,0.0,53520.03,1.0 +646.0,France,Female,42.0,3.0,175159.9,2.0,0.0,0.0,67124.48,0.0 +712.0,France,Male,32.0,9.0,100606.02,1.0,1.0,0.0,165693.06,0.0 +770.0,Spain,Male,46.0,9.0,190678.02,1.0,1.0,1.0,14725.36,0.0 +567.0,Spain,Female,54.0,5.0,92316.31,2.0,1.0,0.0,158590.66,0.0 +595.0,Germany,Female,45.0,9.0,106000.12,1.0,0.0,0.0,191448.96,0.0 +614.0,France,Male,40.0,6.0,0.0,1.0,1.0,1.0,20339.79,0.0 +562.0,Spain,Female,29.0,9.0,120307.58,1.0,1.0,1.0,6795.61,0.0 +782.0,France,Female,35.0,4.0,0.0,1.0,1.0,1.0,119565.34,0.0 +850.0,Spain,Male,37.0,2.0,0.0,2.0,1.0,0.0,119969.99,1.0 +832.0,France,Female,27.0,10.0,98590.25,1.0,1.0,0.0,30912.89,0.0 +551.0,Germany,Male,54.0,5.0,102994.04,1.0,1.0,0.0,176680.16,0.0 +705.0,Germany,Female,33.0,5.0,116765.7,1.0,0.0,0.0,190659.17,1.0 +559.0,Spain,Male,38.0,3.0,145874.35,1.0,1.0,0.0,56311.39,0.0 +850.0,Germany,Female,34.0,3.0,129668.43,2.0,1.0,1.0,88743.99,0.0 +519.0,Spain,Female,47.0,6.0,157296.02,2.0,0.0,0.0,147278.43,1.0 +804.0,France,Female,71.0,8.0,0.0,2.0,0.0,1.0,147995.96,1.0 +584.0,France,Female,41.0,3.0,0.0,2.0,1.0,1.0,160095.48, +685.0,Spain,Male,31.0,10.0,135213.71,1.0,1.0,1.0,125777.28,0.0 +850.0,France,Female,37.0,9.0,0.0,1.0,0.0,0.0,100101.06, +751.0,Germany,Female,51.0,7.0,148074.79,1.0,1.0,0.0,146411.41,1.0 +706.0,Germany,Female,46.0,4.0,105214.58,1.0,1.0,0.0,108699.59,0.0 +674.0,Spain,Male,39.0,6.0,120193.42,1.0,0.0,0.0,100130.95,0.0 +732.0,France,Female,43.0,9.0,0.0,2.0,1.0,0.0,183147.17, +592.0,Spain,Male,31.0,7.0,110071.1,1.0,0.0,0.0,43921.36,1.0 +703.0,France,Male,28.0,9.0,0.0,2.0,0.0,1.0,2151.17, +506.0,Germany,Female,41.0,3.0,57745.76,1.0,1.0,0.0,4035.46,1.0 +755.0,Germany,Male,40.0,2.0,137430.82,2.0,0.0,0.0,176768.59,0.0 +730.0,France,Female,34.0,5.0,74197.38,2.0,1.0,0.0,96875.52,0.0 +650.0,Germany,Female,45.0,9.0,152367.21,3.0,1.0,0.0,150835.21,0.0 +712.0,France,Male,23.0,2.0,0.0,2.0,0.0,1.0,66795.78, +685.0,Spain,Male,31.0,7.0,122449.31,2.0,1.0,1.0,180769.55, +538.0,France,Female,32.0,2.0,0.0,1.0,1.0,1.0,80130.54, +724.0,France,Female,29.0,6.0,0.0,2.0,0.0,1.0,64729.51, +684.0,France,Female,34.0,6.0,0.0,2.0,1.0,1.0,130928.22,1.0 +552.0,France,Male,42.0,9.0,133701.07,2.0,1.0,0.0,101069.71,0.0 +793.0,Spain,Female,36.0,0.0,0.0,1.0,0.0,0.0,148993.47,1.0 +579.0,Germany,Male,41.0,0.0,141749.68,1.0,0.0,1.0,9201.53, +477.0,France,Male,22.0,5.0,82559.42,2.0,0.0,0.0,163112.9,1.0 +540.0,France,Female,31.0,7.0,0.0,1.0,0.0,1.0,183051.6,0.0 +643.0,France,Female,51.0,2.0,105229.53,1.0,1.0,0.0,34967.75,0.0 +740.0,France,Male,44.0,9.0,0.0,1.0,0.0,1.0,96528.0,0.0 +567.0,Spain,Male,40.0,4.0,118628.8,1.0,0.0,0.0,91973.63,0.0 +794.0,France,Male,24.0,10.0,146126.75,1.0,1.0,1.0,88992.05,0.0 +732.0,France,Male,36.0,7.0,0.0,2.0,1.0,1.0,60830.24,0.0 +667.0,Spain,Female,39.0,2.0,0.0,2.0,1.0,0.0,40721.24,1.0 +745.0,France,Female,36.0,9.0,0.0,1.0,1.0,0.0,19605.18,0.0 +556.0,France,Female,40.0,8.0,0.0,2.0,1.0,0.0,62112.7,1.0 +775.0,France,Male,31.0,9.0,0.0,2.0,1.0,0.0,169278.51, +668.0,Germany,Male,56.0,9.0,110993.79,1.0,1.0,0.0,134396.64,0.0 +692.0,France,Male,40.0,6.0,163505.16,1.0,0.0,0.0,90424.09,0.0 +752.0,Germany,Male,29.0,4.0,129514.99,1.0,1.0,1.0,102930.46,0.0 +672.0,France,Female,28.0,6.0,0.0,1.0,0.0,1.0,8814.69,0.0 +585.0,France,Female,30.0,6.0,0.0,2.0,1.0,1.0,137757.69, +470.0,Spain,Female,31.0,2.0,101675.22,2.0,1.0,0.0,45033.75,0.0 +850.0,France,Female,35.0,2.0,128548.49,4.0,1.0,0.0,75478.95,0.0 +548.0,Spain,Male,38.0,0.0,178056.54,2.0,1.0,0.0,38434.73,1.0 +671.0,Germany,Female,47.0,7.0,114603.76,2.0,1.0,0.0,153194.32,0.0 +850.0,France,Male,37.0,4.0,126872.6,1.0,1.0,0.0,197266.58,0.0 +712.0,Germany,Male,53.0,6.0,134729.99,2.0,1.0,1.0,132702.64,0.0 +655.0,France,Male,38.0,4.0,0.0,2.0,0.0,0.0,110527.71,0.0 +753.0,France,Female,31.0,6.0,106596.29,1.0,0.0,0.0,91305.77,0.0 +512.0,France,Female,31.0,7.0,0.0,2.0,0.0,0.0,49326.07,0.0 +571.0,Spain,Female,31.0,3.0,0.0,2.0,1.0,1.0,194667.92,0.0 +775.0,Germany,Male,25.0,10.0,60205.2,2.0,1.0,0.0,14073.11,0.0 +539.0,Spain,Female,37.0,1.0,130922.81,2.0,0.0,0.0,2186.83,0.0 +665.0,Germany,Female,45.0,5.0,155447.65,2.0,1.0,0.0,51871.95,0.0 +581.0,Germany,Female,34.0,1.0,101633.04,1.0,1.0,0.0,110431.51,0.0 +759.0,France,Male,26.0,4.0,0.0,2.0,1.0,0.0,135394.62,0.0 +632.0,France,Female,49.0,5.0,167962.7,1.0,0.0,0.0,140201.21,0.0 +525.0,France,Female,25.0,6.0,0.0,2.0,1.0,0.0,89566.64,0.0 +836.0,Germany,Female,32.0,4.0,109196.67,2.0,1.0,0.0,55218.02, +519.0,Germany,Male,38.0,1.0,114141.64,1.0,1.0,1.0,60988.21,0.0 +806.0,Spain,Male,18.0,3.0,0.0,2.0,1.0,1.0,86994.54,0.0 +582.0,France,Female,40.0,9.0,0.0,3.0,1.0,1.0,60954.45,0.0 +539.0,France,Male,39.0,6.0,0.0,2.0,1.0,1.0,86767.48,0.0 +721.0,France,Male,42.0,4.0,102936.72,1.0,0.0,0.0,1187.88,1.0 +660.0,Germany,Male,24.0,5.0,85089.3,1.0,1.0,1.0,71638.0,0.0 +607.0,Spain,Female,27.0,5.0,100912.19,1.0,0.0,0.0,7631.27,0.0 +689.0,Spain,Female,28.0,3.0,0.0,2.0,1.0,1.0,192449.02,1.0 +745.0,Spain,Male,34.0,9.0,0.0,2.0,1.0,0.0,50046.25,0.0 +506.0,France,Female,40.0,3.0,0.0,1.0,1.0,1.0,144345.58,0.0 +784.0,Spain,Female,40.0,8.0,0.0,2.0,1.0,0.0,108891.3,0.0 +686.0,France,Female,43.0,0.0,0.0,1.0,1.0,1.0,170072.9,0.0 +797.0,France,Male,30.0,10.0,69413.44,1.0,1.0,1.0,74637.57,0.0 +624.0,France,Male,36.0,6.0,0.0,2.0,0.0,0.0,84635.64,0.0 +576.0,Spain,Male,45.0,5.0,133618.01,1.0,0.0,0.0,135244.87,0.0 +615.0,Spain,Male,51.0,6.0,81818.49,1.0,1.0,1.0,169149.38,0.0 +745.0,France,Male,46.0,2.0,122220.19,1.0,1.0,1.0,118024.1,0.0 +629.0,France,Male,35.0,1.0,172170.36,1.0,1.0,1.0,159777.37,0.0 +430.0,France,Female,60.0,7.0,73937.02,1.0,1.0,0.0,161937.62,0.0 +725.0,Germany,Female,47.0,1.0,104887.43,1.0,0.0,0.0,86622.56,1.0 +692.0,France,Female,42.0,2.0,0.0,2.0,1.0,0.0,145222.93,0.0 +575.0,France,Male,46.0,1.0,0.0,2.0,1.0,1.0,65998.26,0.0 +631.0,France,Female,22.0,3.0,0.0,2.0,0.0,0.0,30781.77,0.0 +588.0,Germany,Male,41.0,6.0,106116.56,2.0,1.0,0.0,198766.61,0.0 +571.0,France,Female,33.0,1.0,0.0,2.0,1.0,0.0,102750.7,1.0 +560.0,France,Male,57.0,0.0,0.0,2.0,0.0,1.0,116781.71,1.0 +625.0,France,Male,31.0,5.0,0.0,2.0,0.0,1.0,90.07, +464.0,Germany,Male,37.0,4.0,155994.15,1.0,0.0,0.0,143665.44,0.0 +713.0,France,Male,41.0,3.0,0.0,2.0,1.0,0.0,55772.04,0.0 +748.0,France,Female,26.0,1.0,77780.29,1.0,0.0,1.0,183049.41,1.0 +714.0,Germany,Female,35.0,6.0,126077.43,2.0,1.0,1.0,53954.24,1.0 +753.0,France,Female,38.0,6.0,142263.45,1.0,0.0,1.0,33730.43,0.0 +850.0,France,Male,31.0,8.0,0.0,2.0,1.0,0.0,178667.7,1.0 +713.0,Spain,Female,47.0,1.0,0.0,1.0,1.0,0.0,107825.08,0.0 +667.0,France,Male,40.0,8.0,72945.29,2.0,1.0,0.0,98931.5, +523.0,France,Male,34.0,2.0,161588.89,1.0,1.0,1.0,51358.66,0.0 +660.0,Germany,Male,28.0,2.0,170890.05,2.0,1.0,0.0,41758.9,0.0 +723.0,France,Female,49.0,4.0,0.0,2.0,0.0,1.0,89972.25,0.0 +439.0,Spain,Female,32.0,3.0,138901.61,1.0,1.0,0.0,75685.97,0.0 +607.0,Spain,Female,36.0,4.0,98266.3,1.0,1.0,1.0,46416.36,0.0 +745.0,Germany,Male,35.0,4.0,98270.34,1.0,1.0,0.0,133617.43, +715.0,France,Female,38.0,5.0,118590.41,1.0,1.0,1.0,5684.17,0.0 +562.0,France,Male,42.0,2.0,100238.35,1.0,0.0,0.0,86797.41,1.0 +850.0,Germany,Female,27.0,8.0,111837.78,2.0,1.0,1.0,110805.79,0.0 +768.0,Germany,Female,43.0,2.0,129264.05,2.0,0.0,0.0,19150.14, +555.0,France,Male,51.0,5.0,0.0,3.0,1.0,0.0,189122.89,0.0 +667.0,Germany,Female,42.0,10.0,64404.26,2.0,0.0,0.0,26022.37, +637.0,Germany,Male,50.0,4.0,126345.55,1.0,0.0,1.0,17323.0,0.0 +683.0,Spain,Male,56.0,7.0,50911.21,3.0,0.0,0.0,97629.31,0.0 +676.0,Germany,Female,48.0,2.0,124442.38,1.0,1.0,0.0,15068.53, +645.0,France,Female,37.0,1.0,0.0,2.0,1.0,1.0,68987.55,0.0 +659.0,France,Female,32.0,9.0,0.0,2.0,1.0,1.0,93155.75,0.0 +794.0,France,Female,41.0,7.0,0.0,2.0,1.0,1.0,74275.08,0.0 +556.0,France,Female,36.0,2.0,134208.22,1.0,0.0,1.0,177670.57,0.0 +686.0,Germany,Male,26.0,1.0,57422.62,1.0,1.0,1.0,79189.4, +606.0,Spain,Male,38.0,7.0,128578.52,1.0,1.0,1.0,193878.51,0.0 +536.0,France,Female,61.0,8.0,65190.29,1.0,1.0,1.0,64308.49,0.0 +530.0,Germany,Female,42.0,0.0,99948.45,1.0,0.0,1.0,97338.62,0.0 +584.0,Spain,Female,38.0,3.0,0.0,2.0,1.0,1.0,4525.4,0.0 +568.0,France,Female,38.0,3.0,132951.92,1.0,0.0,1.0,124486.28,0.0 +695.0,Spain,Male,46.0,3.0,122549.64,1.0,1.0,1.0,56297.85,0.0 +630.0,France,Male,50.0,8.0,0.0,2.0,0.0,1.0,79377.45,0.0 +756.0,France,Female,32.0,4.0,0.0,2.0,1.0,0.0,147040.25, +529.0,Spain,Male,34.0,9.0,0.0,1.0,1.0,1.0,93208.22,1.0 +773.0,Germany,Male,51.0,8.0,116197.65,2.0,1.0,1.0,86701.4, +802.0,France,Female,39.0,7.0,120145.96,2.0,0.0,1.0,59497.01,1.0 +491.0,France,Male,33.0,5.0,83134.3,1.0,1.0,0.0,187946.55,0.0 +683.0,France,Male,30.0,4.0,114779.35,1.0,0.0,0.0,183171.47,0.0 +709.0,France,Female,43.0,8.0,0.0,2.0,0.0,0.0,168035.62,0.0 +706.0,Germany,Female,46.0,7.0,111288.18,1.0,1.0,1.0,149170.25,0.0 +609.0,France,Male,40.0,6.0,0.0,2.0,1.0,1.0,97416.34,0.0 +469.0,Spain,Male,35.0,5.0,0.0,2.0,1.0,0.0,186490.37, +667.0,France,Male,31.0,1.0,119266.69,1.0,1.0,1.0,28257.63,0.0 +850.0,France,Male,32.0,4.0,156001.68,2.0,1.0,1.0,151677.31,0.0 +644.0,Spain,Male,18.0,8.0,0.0,2.0,1.0,0.0,59172.42, +532.0,France,Male,42.0,1.0,159024.71,1.0,1.0,0.0,100982.93,0.0 +502.0,France,Male,30.0,4.0,0.0,2.0,1.0,1.0,66263.87,0.0 +590.0,France,Female,76.0,5.0,160979.68,1.0,0.0,1.0,13848.58,0.0 +578.0,France,Male,59.0,10.0,185966.64,1.0,0.0,0.0,9445.42, +667.0,Spain,Female,40.0,1.0,146502.07,1.0,1.0,0.0,19162.89,1.0 +612.0,France,Female,35.0,3.0,0.0,1.0,1.0,1.0,48108.72,0.0 +542.0,France,Female,25.0,7.0,0.0,2.0,0.0,1.0,82393.08,0.0 +758.0,Spain,Male,35.0,5.0,0.0,2.0,1.0,0.0,95009.6, +705.0,Germany,Female,48.0,1.0,156848.13,2.0,1.0,1.0,99475.95, +620.0,Spain,Male,38.0,0.0,0.0,2.0,1.0,1.0,38015.34,0.0 +645.0,Spain,Male,45.0,4.0,0.0,1.0,0.0,1.0,174916.85,0.0 +502.0,Germany,Female,32.0,1.0,173340.83,1.0,0.0,1.0,122763.95,1.0 +668.0,Germany,Female,28.0,1.0,124511.01,1.0,0.0,0.0,114258.18, +702.0,France,Male,40.0,3.0,148556.74,1.0,0.0,1.0,146056.29, +460.0,Germany,Female,35.0,8.0,102742.91,2.0,1.0,1.0,189339.6,0.0 +798.0,France,Female,37.0,4.0,111723.08,1.0,1.0,1.0,83478.12,0.0 +676.0,France,Male,29.0,7.0,131959.86,1.0,0.0,0.0,189268.81,0.0 +534.0,France,Male,62.0,2.0,0.0,2.0,0.0,0.0,42763.12,1.0 +687.0,Germany,Male,35.0,1.0,125141.24,2.0,1.0,1.0,148537.07, +669.0,France,Male,23.0,1.0,0.0,2.0,0.0,0.0,66088.83,1.0 +613.0,Spain,Male,37.0,3.0,171653.17,1.0,0.0,1.0,5353.12,0.0 +812.0,Germany,Male,39.0,5.0,115730.71,3.0,1.0,1.0,185599.34, +616.0,France,Female,66.0,1.0,135842.41,1.0,1.0,0.0,183840.51,0.0 +675.0,France,Male,40.0,7.0,113208.86,2.0,1.0,0.0,34577.36,0.0 +820.0,France,Female,39.0,1.0,104614.29,1.0,1.0,0.0,61538.43, +636.0,Germany,Male,67.0,7.0,136709.35,1.0,0.0,1.0,66753.1,0.0 +653.0,Spain,Female,27.0,6.0,107751.68,2.0,1.0,1.0,33389.42, +812.0,Spain,Female,44.0,8.0,0.0,3.0,1.0,0.0,66926.83,0.0 +698.0,Spain,Female,31.0,8.0,185078.26,1.0,0.0,0.0,115337.74,1.0 +557.0,France,Male,34.0,3.0,83074.0,1.0,1.0,0.0,132673.22, +703.0,Spain,Male,39.0,6.0,152685.4,1.0,0.0,0.0,183656.12,0.0 +598.0,Spain,Male,27.0,8.0,90721.52,2.0,1.0,0.0,109296.18,0.0 +700.0,France,Male,46.0,5.0,95872.86,1.0,1.0,0.0,98273.01,0.0 +850.0,Germany,Female,30.0,3.0,104911.35,2.0,1.0,1.0,42933.26, +638.0,Germany,Male,25.0,4.0,148045.45,2.0,1.0,1.0,114722.42,0.0 +786.0,Spain,Male,40.0,6.0,0.0,2.0,0.0,0.0,41248.8, +640.0,France,Male,40.0,8.0,110340.68,1.0,1.0,1.0,157886.6,0.0 +474.0,France,Male,45.0,10.0,0.0,2.0,0.0,0.0,172175.9,1.0 +682.0,Germany,Male,36.0,5.0,72373.62,2.0,1.0,0.0,36895.99,0.0 +850.0,France,Male,56.0,7.0,131317.48,1.0,1.0,1.0,119175.45,0.0 +597.0,France,Female,29.0,1.0,132144.35,1.0,1.0,0.0,158086.33,0.0 +544.0,Spain,Female,53.0,9.0,0.0,1.0,1.0,0.0,125692.07, +627.0,Germany,Male,24.0,5.0,102773.2,2.0,1.0,0.0,56793.02, +681.0,Germany,Female,44.0,4.0,91115.76,2.0,0.0,0.0,24208.84,0.0 +697.0,France,Female,23.0,10.0,0.0,2.0,1.0,1.0,79734.23,1.0 +796.0,Spain,Male,56.0,6.0,94231.13,1.0,0.0,0.0,121164.6,0.0 +608.0,Spain,Female,41.0,1.0,83807.86,1.0,0.0,1.0,112542.58,0.0 +712.0,France,Female,29.0,2.0,0.0,1.0,1.0,1.0,144375.0,0.0 +539.0,Spain,Male,28.0,5.0,0.0,2.0,1.0,0.0,48382.4,0.0 +555.0,Spain,Female,26.0,9.0,0.0,2.0,0.0,1.0,158918.03,0.0 +766.0,France,Female,27.0,7.0,158786.67,2.0,0.0,1.0,47579.25,0.0 +686.0,France,Female,41.0,10.0,0.0,1.0,1.0,0.0,133086.45,0.0 +526.0,France,Female,37.0,5.0,53573.18,1.0,1.0,0.0,62830.97, +722.0,Spain,Female,32.0,4.0,0.0,2.0,1.0,1.0,113666.48,0.0 +591.0,Germany,Female,44.0,10.0,113581.98,1.0,1.0,0.0,1985.41, +640.0,Germany,Male,48.0,1.0,111599.32,1.0,0.0,1.0,135995.58,0.0 +511.0,Germany,Female,40.0,9.0,124401.6,1.0,1.0,0.0,198814.24,0.0 +650.0,Spain,Male,25.0,7.0,160599.06,2.0,1.0,1.0,28391.52,0.0 +773.0,Spain,Male,63.0,9.0,111179.83,1.0,1.0,1.0,93091.02,0.0 +549.0,Germany,Male,34.0,6.0,204017.4,2.0,1.0,0.0,109538.35, +596.0,France,Male,47.0,6.0,0.0,1.0,1.0,0.0,74835.65,0.0 +547.0,France,Male,43.0,1.0,92350.36,1.0,0.0,1.0,80262.91,0.0 +588.0,France,Female,21.0,8.0,0.0,2.0,1.0,1.0,110114.19,0.0 +758.0,France,Male,26.0,4.0,155739.76,1.0,1.0,0.0,171552.02, +777.0,Germany,Male,35.0,7.0,122917.69,1.0,1.0,1.0,76169.68,0.0 +592.0,France,Female,38.0,8.0,119278.01,2.0,0.0,1.0,19370.73,0.0 +850.0,Germany,Female,44.0,5.0,128605.32,1.0,0.0,1.0,171096.2,0.0 +549.0,France,Female,46.0,7.0,0.0,1.0,1.0,1.0,109057.56,0.0 +661.0,Spain,Male,38.0,7.0,143006.7,1.0,1.0,1.0,15650.89,1.0 +750.0,France,Male,37.0,3.0,0.0,2.0,1.0,0.0,16870.2,0.0 +781.0,France,Male,20.0,0.0,125023.1,2.0,1.0,1.0,108301.45,1.0 +584.0,Spain,Female,50.0,1.0,0.0,1.0,0.0,1.0,152567.75,1.0 +692.0,Spain,Female,47.0,3.0,0.0,2.0,1.0,0.0,150802.41, +608.0,Germany,Female,38.0,8.0,103653.51,2.0,1.0,1.0,137079.86,0.0 +686.0,France,Male,35.0,4.0,0.0,1.0,1.0,0.0,8816.37,1.0 +764.0,France,Female,39.0,5.0,81042.42,1.0,0.0,1.0,109805.17,1.0 +560.0,Spain,Female,26.0,3.0,116576.45,1.0,1.0,0.0,157567.37,0.0 +649.0,France,Female,41.0,2.0,125785.23,1.0,1.0,1.0,70523.92,0.0 +687.0,Germany,Female,29.0,4.0,78939.15,1.0,1.0,0.0,122134.56,0.0 +626.0,Spain,Male,29.0,7.0,0.0,2.0,1.0,0.0,49361.84,1.0 +611.0,Spain,Male,51.0,1.0,122874.74,1.0,1.0,1.0,149648.45,0.0 +598.0,France,Male,60.0,4.0,0.0,1.0,1.0,0.0,197727.14, +826.0,Spain,Male,41.0,5.0,146466.46,2.0,0.0,0.0,180934.67,1.0 +639.0,Spain,Female,28.0,8.0,97840.72,1.0,1.0,1.0,178222.77,0.0 +732.0,France,Male,25.0,0.0,110942.9,1.0,0.0,0.0,172576.56,0.0 +663.0,Spain,Male,33.0,9.0,0.0,2.0,0.0,0.0,91514.62,1.0 +656.0,France,Male,33.0,7.0,138705.02,2.0,1.0,0.0,37136.15,0.0 +628.0,France,Female,29.0,9.0,71996.29,1.0,1.0,1.0,34857.46,0.0 +593.0,Spain,Male,35.0,4.0,161637.75,1.0,1.0,1.0,20008.46,0.0 +625.0,France,Male,41.0,6.0,97663.16,2.0,1.0,0.0,57128.78,0.0 +733.0,Germany,Male,74.0,3.0,106545.53,1.0,1.0,1.0,134589.58,0.0 +561.0,France,Male,34.0,1.0,78829.53,1.0,1.0,1.0,12148.2,1.0 +505.0,Spain,Male,35.0,8.0,116932.59,1.0,1.0,0.0,91092.84, +711.0,France,Female,25.0,7.0,0.0,3.0,1.0,1.0,9679.28,0.0 +415.0,France,Male,32.0,5.0,145807.59,1.0,1.0,1.0,3064.65,1.0 +709.0,Spain,Female,35.0,1.0,111827.27,2.0,1.0,0.0,12674.68, +513.0,France,Female,43.0,9.0,0.0,2.0,1.0,0.0,152499.8,0.0 +850.0,Spain,Male,49.0,8.0,0.0,1.0,0.0,0.0,25867.67,0.0 +572.0,Germany,Female,35.0,1.0,139979.07,1.0,1.0,0.0,185662.84,0.0 +598.0,Spain,Female,35.0,8.0,0.0,3.0,0.0,1.0,88658.73,1.0 +496.0,France,Female,34.0,1.0,102723.35,2.0,1.0,0.0,180844.81, +691.0,France,Female,40.0,0.0,115465.98,1.0,1.0,1.0,60622.61,1.0 +699.0,Germany,Female,54.0,3.0,111009.32,1.0,1.0,1.0,155905.79,0.0 +600.0,Spain,Male,36.0,4.0,0.0,2.0,1.0,0.0,143635.36,0.0 +691.0,France,Male,24.0,6.0,0.0,2.0,1.0,1.0,92811.2,0.0 +634.0,France,Female,45.0,2.0,0.0,1.0,1.0,1.0,143458.31,0.0 +660.0,France,Male,63.0,8.0,137841.53,1.0,1.0,1.0,42790.29,0.0 +592.0,Germany,Male,36.0,10.0,123187.51,1.0,0.0,1.0,146111.35, +707.0,Spain,Male,43.0,10.0,0.0,2.0,1.0,0.0,118368.2,0.0 +611.0,France,Female,40.0,8.0,100812.33,2.0,1.0,0.0,147358.27,0.0 +844.0,France,Female,28.0,4.0,0.0,2.0,0.0,1.0,123318.37, +516.0,France,Male,37.0,8.0,0.0,1.0,1.0,0.0,101834.58,1.0 +628.0,Spain,Female,55.0,7.0,0.0,3.0,1.0,0.0,85890.75, +587.0,France,Male,39.0,10.0,0.0,2.0,1.0,1.0,170409.45, +616.0,France,Male,31.0,3.0,94263.91,2.0,1.0,0.0,168895.06,0.0 +509.0,France,Male,55.0,8.0,132387.91,2.0,1.0,1.0,170360.11,0.0 +790.0,France,Female,26.0,4.0,141581.71,2.0,0.0,0.0,98309.27,0.0 +666.0,France,Male,43.0,7.0,137780.74,2.0,1.0,1.0,119100.05,1.0 +665.0,Spain,Female,42.0,2.0,156371.61,2.0,0.0,1.0,156774.94,0.0 +679.0,Spain,Male,33.0,4.0,96110.22,1.0,1.0,0.0,1173.23,0.0 +739.0,Spain,Female,27.0,8.0,98926.4,1.0,1.0,1.0,106969.98, +486.0,Spain,Male,24.0,1.0,0.0,1.0,1.0,0.0,98802.76, +541.0,France,Male,37.0,9.0,118636.92,1.0,1.0,1.0,73551.44,0.0 +617.0,France,Female,27.0,4.0,0.0,2.0,0.0,0.0,190269.21,0.0 +679.0,France,Male,34.0,7.0,160515.37,1.0,1.0,0.0,121904.14,0.0 +724.0,Germany,Male,37.0,6.0,125489.4,1.0,1.0,0.0,118570.53, +664.0,France,Male,32.0,10.0,107209.73,1.0,1.0,1.0,112340.2,0.0 +613.0,Germany,Female,51.0,7.0,147262.11,1.0,1.0,1.0,53630.9, +661.0,Germany,Female,47.0,0.0,109493.62,1.0,0.0,0.0,188324.01,1.0 +588.0,Spain,Male,33.0,2.0,0.0,2.0,1.0,1.0,12483.56,0.0 +584.0,France,Male,36.0,9.0,0.0,1.0,1.0,1.0,105818.51,0.0 +568.0,Spain,Female,26.0,6.0,0.0,2.0,0.0,0.0,166495.2,0.0 +771.0,Spain,Female,67.0,8.0,0.0,2.0,1.0,1.0,51219.8,0.0 +685.0,France,Female,43.0,1.0,132667.17,1.0,1.0,1.0,41876.98,1.0 +682.0,France,Female,30.0,9.0,0.0,2.0,1.0,1.0,195104.91,0.0 +468.0,Germany,Male,29.0,1.0,111681.98,2.0,1.0,1.0,195711.16,0.0 +751.0,France,Male,29.0,1.0,135536.5,1.0,1.0,0.0,66825.33,0.0 +516.0,Spain,Female,65.0,9.0,102541.1,1.0,1.0,0.0,181490.42, +580.0,Germany,Male,35.0,9.0,121355.19,1.0,0.0,1.0,35671.45,0.0 +673.0,France,Male,39.0,7.0,82255.51,2.0,1.0,0.0,109545.56,1.0 +642.0,Spain,Male,34.0,8.0,0.0,1.0,1.0,0.0,72085.1,0.0 +585.0,France,Male,40.0,7.0,0.0,2.0,0.0,0.0,146156.98,0.0 +729.0,France,Male,39.0,4.0,121404.64,1.0,1.0,1.0,159618.17,1.0 +651.0,France,Male,34.0,4.0,91562.99,1.0,1.0,1.0,123954.15,0.0 +588.0,France,Female,36.0,2.0,0.0,2.0,1.0,0.0,92536.0,1.0 +644.0,Germany,Female,51.0,4.0,95560.04,1.0,0.0,0.0,72628.84, +745.0,Spain,Male,34.0,7.0,132944.53,1.0,1.0,1.0,31802.92,0.0 +704.0,Spain,Male,48.0,8.0,167997.6,1.0,1.0,1.0,173498.45,0.0 +636.0,Spain,Male,45.0,3.0,0.0,2.0,1.0,1.0,159463.8,1.0 +648.0,Spain,Female,54.0,7.0,118241.02,1.0,1.0,0.0,172586.89,0.0 +643.0,Spain,Female,45.0,9.0,150840.03,2.0,1.0,0.0,155516.35,0.0 +729.0,France,Male,34.0,3.0,152303.8,1.0,1.0,0.0,12128.69,0.0 +789.0,France,Male,37.0,3.0,0.0,1.0,1.0,0.0,121883.87,0.0 +670.0,Germany,Female,35.0,2.0,79585.96,1.0,0.0,1.0,198802.9,0.0 +823.0,France,Male,71.0,5.0,149105.08,1.0,0.0,1.0,162683.06,0.0 +844.0,France,Male,40.0,7.0,113348.14,1.0,1.0,0.0,31904.31,0.0 +592.0,France,Male,42.0,1.0,147249.29,2.0,1.0,1.0,63023.02,0.0 +504.0,Spain,Male,44.0,4.0,113522.64,1.0,1.0,1.0,12405.2, +545.0,Germany,Female,37.0,8.0,114754.08,1.0,1.0,0.0,136050.44,0.0 +597.0,France,Male,33.0,9.0,0.0,2.0,1.0,0.0,49374.82,1.0 +737.0,Germany,Female,22.0,10.0,111543.26,2.0,0.0,0.0,106327.85, +558.0,France,Male,31.0,7.0,0.0,1.0,1.0,0.0,198269.08, +477.0,France,Female,30.0,6.0,131286.46,1.0,1.0,0.0,194144.45,0.0 +714.0,France,Female,26.0,9.0,89928.99,1.0,1.0,0.0,46203.31,0.0 +632.0,Germany,Male,30.0,1.0,58668.02,1.0,1.0,1.0,78670.52,1.0 +550.0,France,Male,38.0,9.0,140278.99,3.0,1.0,1.0,171457.06,0.0 +411.0,France,Female,35.0,2.0,0.0,2.0,1.0,1.0,93825.78,0.0 +443.0,France,Male,35.0,6.0,161111.45,1.0,0.0,0.0,13946.66, +615.0,France,Male,64.0,0.0,81564.1,2.0,0.0,1.0,35896.09, +676.0,France,Female,32.0,5.0,0.0,2.0,1.0,1.0,75465.41,0.0 +685.0,Spain,Female,25.0,10.0,128509.63,1.0,1.0,0.0,121562.33,0.0 +602.0,France,Male,23.0,7.0,113758.48,2.0,0.0,0.0,84077.6,1.0 +586.0,Germany,Male,46.0,8.0,106968.96,1.0,1.0,1.0,79366.98, +479.0,Germany,Male,35.0,9.0,92833.89,1.0,1.0,0.0,99449.86,0.0 +727.0,France,Male,18.0,4.0,133550.67,1.0,1.0,1.0,46941.41,0.0 +491.0,France,Female,36.0,0.0,53369.13,1.0,1.0,1.0,103934.12, +556.0,Spain,Male,46.0,3.0,131764.96,1.0,1.0,1.0,108500.66, +630.0,Germany,Female,28.0,8.0,106425.75,1.0,1.0,1.0,20344.84,0.0 +495.0,Spain,Female,45.0,3.0,89158.94,3.0,1.0,0.0,135169.76,0.0 +781.0,France,Female,27.0,7.0,186558.55,1.0,1.0,1.0,175071.29,0.0 +650.0,France,Female,43.0,6.0,0.0,2.0,1.0,1.0,16301.91,0.0 +626.0,Spain,Female,48.0,2.0,0.0,2.0,1.0,1.0,95794.98,0.0 +626.0,France,Female,44.0,10.0,81553.93,1.0,1.0,0.0,20063.63,0.0 +675.0,Germany,Female,29.0,8.0,121326.42,1.0,1.0,0.0,133457.52,0.0 +712.0,Germany,Female,29.0,7.0,147199.07,1.0,1.0,1.0,84932.4,0.0 +702.0,Spain,Female,26.0,4.0,135219.57,1.0,0.0,1.0,59747.63,0.0 +791.0,France,Female,31.0,10.0,75499.24,1.0,1.0,0.0,22184.14, +850.0,France,Female,27.0,7.0,43658.33,2.0,1.0,1.0,3025.49,0.0 +724.0,Germany,Male,36.0,6.0,94615.11,2.0,1.0,1.0,10627.21,0.0 +602.0,France,Female,29.0,3.0,88814.4,2.0,1.0,1.0,62487.97,1.0 +809.0,France,Male,38.0,3.0,0.0,2.0,1.0,1.0,80061.31,1.0 +728.0,Spain,Female,43.0,5.0,0.0,1.0,1.0,1.0,120088.17,1.0 +553.0,France,Male,37.0,2.0,0.0,2.0,1.0,0.0,33877.29,0.0 +775.0,France,Male,52.0,8.0,109922.61,1.0,1.0,1.0,96823.32,0.0 +580.0,Spain,Male,67.0,3.0,153946.14,1.0,1.0,1.0,7418.92,0.0 +583.0,France,Female,42.0,4.0,0.0,2.0,1.0,0.0,17439.66,1.0 +694.0,France,Male,39.0,5.0,77652.4,1.0,1.0,1.0,25407.59, +562.0,France,Male,33.0,6.0,0.0,2.0,1.0,0.0,111590.35,1.0 +574.0,France,Male,26.0,8.0,97460.1,1.0,1.0,1.0,43093.67,1.0 +733.0,France,Female,38.0,3.0,157658.36,1.0,0.0,0.0,19658.43,0.0 +418.0,France,Female,46.0,9.0,0.0,1.0,1.0,1.0,81014.5, +663.0,France,Male,45.0,5.0,83195.12,1.0,1.0,1.0,48682.1, +418.0,France,Male,35.0,7.0,0.0,2.0,1.0,1.0,88878.15, +577.0,France,Female,39.0,10.0,0.0,2.0,1.0,0.0,10553.31,0.0 +655.0,Spain,Male,38.0,9.0,0.0,1.0,0.0,1.0,90490.33, +780.0,France,Male,34.0,1.0,0.0,1.0,1.0,1.0,64804.04,0.0 +624.0,France,Female,23.0,5.0,0.0,2.0,0.0,0.0,132418.59, +464.0,France,Male,46.0,6.0,161798.53,1.0,1.0,0.0,182944.47,0.0 +803.0,France,Male,36.0,1.0,0.0,2.0,1.0,1.0,149370.93, +549.0,France,Male,31.0,4.0,0.0,2.0,0.0,1.0,25684.85,0.0 +626.0,Germany,Male,27.0,4.0,115084.53,2.0,0.0,1.0,26907.43, +633.0,Spain,Male,42.0,10.0,0.0,1.0,0.0,1.0,79408.17,0.0 +476.0,France,Female,34.0,10.0,0.0,2.0,1.0,0.0,26260.98,0.0 +613.0,Spain,Male,39.0,8.0,118201.41,1.0,1.0,0.0,23315.59,0.0 +591.0,France,Female,34.0,3.0,96127.27,1.0,0.0,0.0,30972.06, +654.0,France,Male,36.0,2.0,112262.84,1.0,1.0,0.0,12873.39,0.0 +673.0,France,Female,44.0,8.0,133444.97,1.0,0.0,1.0,5708.19,0.0 +796.0,France,Male,30.0,2.0,137262.71,2.0,1.0,0.0,62905.29,0.0 +728.0,France,Male,34.0,4.0,106328.08,1.0,1.0,0.0,88680.65,1.0 +596.0,Spain,Male,57.0,6.0,0.0,2.0,1.0,1.0,72402.0,0.0 +643.0,Spain,Male,35.0,2.0,0.0,2.0,0.0,0.0,67979.35,0.0 +567.0,France,Male,39.0,5.0,0.0,2.0,0.0,0.0,168521.72,0.0 +757.0,France,Male,57.0,3.0,89079.41,1.0,1.0,1.0,53179.21,0.0 +640.0,Germany,Female,75.0,1.0,106307.91,2.0,0.0,1.0,113428.77,0.0 +573.0,Germany,Male,35.0,9.0,134498.54,2.0,1.0,1.0,119924.8,0.0 +585.0,France,Female,35.0,2.0,0.0,2.0,1.0,0.0,98621.04, +774.0,Germany,Male,42.0,2.0,132193.94,2.0,1.0,1.0,162865.52,0.0 +482.0,France,Female,35.0,5.0,147813.05,2.0,0.0,0.0,109029.72,0.0 +823.0,Spain,Female,46.0,3.0,81576.75,1.0,1.0,1.0,28370.95,1.0 +709.0,France,Male,32.0,4.0,147307.91,1.0,0.0,1.0,40861.55,1.0 +576.0,France,Male,63.0,9.0,70655.48,1.0,0.0,0.0,78955.8,0.0 +471.0,France,Female,58.0,4.0,114713.57,1.0,1.0,1.0,36315.03,0.0 +483.0,France,Female,44.0,5.0,136836.49,1.0,1.0,0.0,192359.9,0.0 +559.0,France,Female,48.0,2.0,0.0,2.0,0.0,1.0,137961.41, +672.0,France,Male,37.0,5.0,153195.59,1.0,1.0,1.0,162763.01,0.0 +656.0,France,Male,39.0,10.0,0.0,2.0,1.0,1.0,98894.64,0.0 +535.0,France,Female,29.0,2.0,112367.34,1.0,1.0,0.0,185630.76,0.0 +750.0,Spain,Female,39.0,6.0,0.0,2.0,0.0,0.0,19264.33,0.0 +625.0,France,Female,38.0,7.0,0.0,1.0,1.0,0.0,164804.02,0.0 +797.0,France,Male,32.0,10.0,114084.6,1.0,0.0,1.0,125782.29,0.0 +635.0,Spain,Male,38.0,0.0,103257.14,1.0,0.0,0.0,158344.63,0.0 +729.0,Germany,Male,30.0,6.0,63669.42,1.0,1.0,0.0,145111.37,0.0 +562.0,Germany,Male,31.0,2.0,112708.2,1.0,0.0,1.0,186370.3,0.0 +743.0,France,Male,71.0,0.0,0.0,2.0,0.0,1.0,29837.65,0.0 +555.0,Germany,Male,41.0,10.0,113270.2,2.0,1.0,1.0,185387.14,1.0 +599.0,France,Female,43.0,4.0,0.0,1.0,1.0,0.0,170347.1,0.0 +778.0,France,Male,44.0,8.0,123863.64,1.0,1.0,0.0,144494.94,0.0 +637.0,Germany,Female,46.0,2.0,143500.82,1.0,1.0,0.0,166996.46,0.0 +634.0,France,Female,24.0,2.0,87413.19,1.0,1.0,0.0,63340.65,1.0 +707.0,France,Female,36.0,6.0,0.0,1.0,0.0,0.0,98810.78,1.0 +810.0,France,Female,38.0,9.0,153166.17,1.0,1.0,1.0,93261.69,1.0 +492.0,France,Female,28.0,9.0,0.0,2.0,1.0,0.0,95957.09,1.0 +688.0,France,Male,20.0,8.0,137624.4,2.0,1.0,1.0,197582.79, +637.0,Spain,Female,44.0,0.0,157622.58,1.0,1.0,1.0,120454.2,0.0 +701.0,France,Male,37.0,8.0,107798.85,1.0,1.0,0.0,16966.73,0.0 +574.0,Spain,Male,36.0,3.0,0.0,2.0,1.0,1.0,8559.66,1.0 +593.0,France,Male,33.0,1.0,0.0,2.0,0.0,0.0,9984.4, +675.0,Germany,Female,33.0,0.0,141816.25,1.0,1.0,0.0,64815.05,0.0 +662.0,France,Male,34.0,2.0,0.0,2.0,0.0,1.0,21497.27,0.0 +712.0,Germany,Male,28.0,4.0,145605.44,1.0,0.0,1.0,93883.53,0.0 +616.0,France,Male,18.0,6.0,0.0,2.0,1.0,1.0,27308.58,1.0 +664.0,France,Male,54.0,8.0,0.0,1.0,1.0,1.0,162719.69, +480.0,France,Female,28.0,6.0,0.0,2.0,0.0,0.0,48131.92,0.0 +731.0,Germany,Female,43.0,9.0,79120.27,1.0,0.0,0.0,548.52,0.0 +511.0,France,Male,58.0,0.0,149117.31,1.0,1.0,1.0,162599.51,1.0 +585.0,France,Female,34.0,1.0,0.0,1.0,1.0,1.0,75503.6, +798.0,France,Male,32.0,7.0,0.0,2.0,0.0,1.0,37731.95,1.0 +698.0,Germany,Female,52.0,1.0,107906.75,1.0,1.0,0.0,168886.39,1.0 +625.0,France,Female,51.0,4.0,124620.01,2.0,1.0,0.0,92243.94,0.0 +748.0,France,Male,44.0,2.0,92911.52,1.0,0.0,1.0,85495.24,0.0 +710.0,France,Female,41.0,2.0,156067.05,1.0,1.0,1.0,9983.88,0.0 +633.0,Germany,Male,29.0,6.0,117412.35,1.0,0.0,0.0,30338.94, +704.0,France,Male,32.0,7.0,127785.17,4.0,0.0,0.0,184464.7,1.0 +725.0,France,Female,44.0,10.0,0.0,1.0,0.0,1.0,93777.61,0.0 +688.0,Spain,Female,24.0,3.0,0.0,2.0,1.0,1.0,102195.16,0.0 +731.0,France,Female,36.0,6.0,0.0,1.0,0.0,0.0,152128.36,0.0 +794.0,France,Male,56.0,9.0,96951.21,1.0,1.0,1.0,71776.76,0.0 +775.0,France,Male,30.0,4.0,0.0,2.0,1.0,0.0,49337.84, +748.0,Germany,Female,31.0,1.0,99557.94,1.0,1.0,0.0,199255.32, +469.0,Germany,Male,38.0,9.0,113599.42,1.0,0.0,0.0,11950.29,0.0 +618.0,France,Female,37.0,5.0,96652.86,1.0,1.0,0.0,98686.4,0.0 +699.0,Spain,Male,35.0,2.0,167455.66,2.0,1.0,1.0,55324.49,0.0 +619.0,Spain,Female,44.0,6.0,52831.13,1.0,1.0,1.0,112649.22,0.0 +565.0,France,Female,40.0,2.0,0.0,2.0,1.0,1.0,129956.13, +470.0,Spain,Male,31.0,4.0,55732.92,2.0,1.0,1.0,103792.53,1.0 +553.0,Germany,Male,43.0,6.0,85200.82,2.0,1.0,1.0,160574.09,0.0 +709.0,France,Male,44.0,9.0,128601.98,1.0,1.0,0.0,117031.2,0.0 +754.0,Spain,Male,39.0,7.0,157691.98,2.0,1.0,0.0,133600.89,0.0 +586.0,Germany,Male,34.0,9.0,74309.81,1.0,1.0,0.0,15034.93,0.0 +765.0,Spain,Female,33.0,5.0,84557.82,1.0,1.0,1.0,69039.43, +678.0,Germany,Female,30.0,1.0,139676.95,2.0,0.0,1.0,16146.0,0.0 +483.0,France,Male,27.0,1.0,77805.66,1.0,1.0,1.0,2101.89, +502.0,France,Female,42.0,8.0,159660.8,3.0,1.0,0.0,113931.57,0.0 +795.0,France,Female,36.0,1.0,151844.64,1.0,1.0,1.0,135388.89,0.0 +625.0,France,Female,45.0,3.0,0.0,1.0,1.0,1.0,184474.15,0.0 +563.0,France,Female,34.0,6.0,139810.34,1.0,1.0,1.0,152417.79,0.0 +663.0,France,Male,34.0,7.0,0.0,2.0,1.0,1.0,180427.24,0.0 +564.0,Germany,Female,32.0,10.0,139875.2,2.0,1.0,0.0,15378.23,1.0 +750.0,France,Male,38.0,5.0,151532.4,1.0,1.0,1.0,46555.15, +579.0,Germany,Male,49.0,4.0,169377.31,1.0,1.0,1.0,123535.05,0.0 +769.0,Germany,Female,34.0,7.0,137239.17,1.0,1.0,1.0,71379.92,0.0 +594.0,Germany,Female,29.0,3.0,130830.22,1.0,1.0,0.0,61048.53,1.0 +779.0,France,Female,29.0,3.0,46388.16,3.0,1.0,0.0,127939.26, +590.0,Spain,Female,23.0,7.0,0.0,2.0,1.0,0.0,196789.9,1.0 +748.0,France,Female,39.0,3.0,157371.54,1.0,0.0,1.0,97734.3,0.0 +719.0,France,Male,49.0,5.0,105918.1,1.0,1.0,1.0,16246.59,1.0 +685.0,Spain,Female,43.0,6.0,117302.62,1.0,0.0,0.0,68701.73,0.0 +450.0,Spain,Female,46.0,5.0,177619.71,1.0,1.0,0.0,54227.06,0.0 +709.0,France,Female,32.0,7.0,0.0,2.0,1.0,1.0,199418.02,0.0 +670.0,France,Male,38.0,10.0,89416.99,1.0,0.0,0.0,144275.39,0.0 +707.0,France,Male,58.0,6.0,89685.92,1.0,0.0,1.0,126471.13,0.0 +592.0,France,Male,28.0,2.0,116498.22,1.0,1.0,0.0,144290.25,0.0 +663.0,France,Male,39.0,4.0,0.0,1.0,1.0,0.0,76884.05,0.0 +544.0,France,Male,30.0,4.0,73218.89,1.0,0.0,1.0,126796.69, +850.0,Spain,Female,45.0,5.0,174088.3,4.0,1.0,0.0,5669.31,1.0 +625.0,France,Male,34.0,6.0,0.0,2.0,0.0,0.0,197283.2,0.0 +535.0,Germany,Female,53.0,5.0,141616.55,2.0,1.0,1.0,75888.65,0.0 +664.0,France,Male,48.0,10.0,0.0,1.0,1.0,0.0,140173.17,0.0 +545.0,Spain,Female,44.0,1.0,0.0,2.0,1.0,1.0,82614.89, +610.0,France,Male,36.0,4.0,129440.3,2.0,1.0,0.0,102638.35,1.0 +820.0,France,Male,33.0,2.0,132150.26,2.0,1.0,0.0,23067.97,0.0 +649.0,Spain,Female,47.0,8.0,110783.28,1.0,1.0,1.0,71420.16, +661.0,Spain,Male,20.0,8.0,0.0,1.0,1.0,0.0,110252.53, +653.0,France,Male,46.0,0.0,119556.1,1.0,1.0,0.0,78250.13, +514.0,France,Male,45.0,1.0,178827.79,1.0,1.0,0.0,60375.18,1.0 +595.0,Spain,Male,36.0,6.0,85768.42,1.0,1.0,1.0,24802.77,0.0 +699.0,Germany,Female,31.0,10.0,125837.86,2.0,1.0,0.0,189392.66,0.0 +684.0,Germany,Male,37.0,4.0,138476.41,2.0,1.0,1.0,52367.29,0.0 +578.0,France,Male,45.0,1.0,148600.91,1.0,1.0,0.0,143397.14, +538.0,Spain,Female,30.0,8.0,0.0,2.0,1.0,1.0,41192.95,0.0 +593.0,France,Male,45.0,4.0,138825.19,1.0,0.0,0.0,10828.78, +430.0,Germany,Male,36.0,1.0,138992.48,2.0,0.0,0.0,122373.42,0.0 +622.0,France,Male,59.0,5.0,119380.37,1.0,1.0,1.0,60429.43,0.0 +611.0,Spain,Female,33.0,7.0,0.0,2.0,1.0,1.0,3729.89,0.0 +599.0,Spain,Female,28.0,4.0,126833.79,2.0,1.0,0.0,60843.09,0.0 +850.0,Spain,Male,54.0,7.0,108185.81,2.0,0.0,0.0,24093.4,0.0 +763.0,Germany,Male,31.0,7.0,143966.3,2.0,1.0,1.0,140262.96,0.0 +585.0,France,Female,67.0,5.0,113978.97,2.0,0.0,1.0,93146.11,0.0 +470.0,Germany,Male,39.0,5.0,117469.91,2.0,0.0,0.0,63705.9,0.0 +735.0,France,Female,38.0,1.0,0.0,3.0,0.0,0.0,92220.12,0.0 +681.0,France,Female,43.0,8.0,154100.3,1.0,0.0,0.0,114659.81, +754.0,Spain,Male,35.0,4.0,0.0,2.0,1.0,1.0,9658.41,0.0 +757.0,France,Female,51.0,1.0,0.0,1.0,1.0,1.0,22835.13,0.0 +705.0,France,Male,25.0,3.0,113736.27,1.0,0.0,1.0,196864.61,0.0 +707.0,Germany,Male,34.0,9.0,162691.16,2.0,1.0,0.0,94912.78,0.0 +693.0,Germany,Male,40.0,0.0,120711.73,1.0,0.0,0.0,27345.18,0.0 +627.0,France,Male,33.0,5.0,0.0,2.0,1.0,1.0,103737.82,0.0 +850.0,France,Female,43.0,3.0,0.0,2.0,0.0,0.0,2465.8,0.0 +628.0,Germany,Male,40.0,5.0,181768.32,2.0,1.0,1.0,129107.97,1.0 +548.0,France,Male,29.0,5.0,83442.98,1.0,0.0,1.0,177017.39,0.0 +660.0,Germany,Male,35.0,8.0,58641.43,1.0,0.0,1.0,198674.08,0.0 +561.0,France,Male,43.0,4.0,0.0,4.0,0.0,0.0,18522.91, +590.0,France,Male,39.0,9.0,0.0,2.0,1.0,1.0,104730.52,1.0 +620.0,Spain,Male,42.0,4.0,106920.91,1.0,0.0,1.0,119747.08, +631.0,France,Male,51.0,8.0,100654.8,1.0,1.0,0.0,171587.9,0.0 +746.0,Spain,Male,31.0,2.0,113836.27,1.0,1.0,1.0,174815.54,1.0 +643.0,Spain,Female,32.0,2.0,0.0,1.0,0.0,0.0,131301.74,0.0 +653.0,France,Female,74.0,0.0,121276.32,1.0,1.0,1.0,160348.31,1.0 +620.0,Germany,Female,25.0,8.0,141825.88,1.0,1.0,1.0,73857.94,0.0 +499.0,France,Female,57.0,1.0,0.0,1.0,0.0,0.0,131372.38,0.0 +591.0,France,Male,40.0,2.0,99886.42,2.0,1.0,1.0,88695.19,1.0 +655.0,France,Male,24.0,9.0,107065.31,1.0,1.0,1.0,51959.82, +651.0,France,Male,40.0,4.0,0.0,2.0,1.0,1.0,147715.83,1.0 +628.0,France,Male,39.0,6.0,0.0,2.0,0.0,0.0,134441.6,0.0 +727.0,Spain,Male,28.0,1.0,0.0,1.0,1.0,0.0,40357.39,1.0 +693.0,France,Female,38.0,3.0,0.0,2.0,0.0,0.0,78133.48,1.0 +745.0,France,Male,47.0,5.0,0.0,2.0,0.0,0.0,145789.71,0.0 +660.0,Germany,Female,23.0,6.0,166070.48,2.0,0.0,0.0,90494.72,0.0 +550.0,Spain,Male,51.0,5.0,0.0,2.0,1.0,0.0,153917.41,0.0 +766.0,Spain,Male,41.0,6.0,99208.46,2.0,1.0,0.0,62402.38,0.0 +584.0,France,Female,37.0,1.0,0.0,2.0,1.0,1.0,180363.56,1.0 +487.0,Germany,Female,46.0,4.0,135070.58,2.0,1.0,1.0,44244.49,0.0 +720.0,Spain,Male,21.0,2.0,123200.78,1.0,1.0,1.0,180712.28,0.0 +574.0,Germany,Female,43.0,3.0,141349.43,1.0,1.0,1.0,100187.43,1.0 +579.0,Germany,Male,31.0,2.0,90547.48,2.0,1.0,1.0,18800.13,0.0 +646.0,Spain,Male,32.0,1.0,0.0,2.0,1.0,0.0,183289.22,0.0 +427.0,France,Male,29.0,1.0,141325.56,1.0,1.0,1.0,93839.3,0.0 +698.0,France,Male,38.0,2.0,130015.24,1.0,1.0,1.0,41595.3,1.0 +788.0,Germany,Female,42.0,6.0,138650.49,2.0,1.0,0.0,64746.07,0.0 +717.0,France,Male,48.0,7.0,123764.95,1.0,1.0,1.0,169952.82, +741.0,Spain,Male,35.0,6.0,74371.49,1.0,0.0,0.0,99595.67, +595.0,Germany,Female,41.0,2.0,138878.81,1.0,0.0,1.0,112269.67,1.0 +808.0,Germany,Female,37.0,2.0,100431.84,1.0,1.0,0.0,35140.49,0.0 +508.0,France,Female,38.0,3.0,166328.65,2.0,0.0,1.0,22614.19,0.0 +570.0,France,Female,36.0,3.0,0.0,2.0,1.0,0.0,92118.75, +675.0,Spain,Male,32.0,10.0,0.0,2.0,1.0,0.0,191545.65,0.0 +625.0,Spain,Female,49.0,2.0,80816.45,1.0,1.0,1.0,20018.79,0.0 +638.0,Germany,Male,37.0,2.0,89728.86,2.0,1.0,1.0,37294.88,1.0 +816.0,Germany,Female,25.0,2.0,150355.35,2.0,1.0,1.0,35770.84,0.0 +606.0,France,Male,31.0,10.0,0.0,2.0,1.0,0.0,195209.4,0.0 +682.0,France,Female,42.0,0.0,0.0,1.0,0.0,1.0,91981.85,0.0 +580.0,Germany,Male,45.0,2.0,179334.83,2.0,1.0,1.0,169303.65, +581.0,Spain,Male,43.0,9.0,78022.61,1.0,0.0,1.0,30662.91,1.0 +383.0,Spain,Female,48.0,8.0,95808.19,1.0,0.0,0.0,137702.01,0.0 +543.0,Germany,Male,48.0,1.0,100900.5,1.0,0.0,0.0,33310.72,0.0 +585.0,Germany,Female,40.0,3.0,162261.01,2.0,1.0,0.0,137028.51,1.0 +710.0,Spain,Female,38.0,4.0,0.0,2.0,1.0,1.0,136390.88,1.0 +752.0,France,Female,36.0,1.0,86837.95,1.0,1.0,1.0,105280.55,0.0 +702.0,France,Male,37.0,10.0,150525.8,1.0,1.0,1.0,94728.49,0.0 +692.0,Spain,Female,34.0,4.0,109699.08,1.0,1.0,1.0,37898.91,0.0 +514.0,France,Female,41.0,7.0,0.0,2.0,1.0,1.0,3756.65,1.0 +714.0,Germany,Male,28.0,7.0,77776.39,1.0,1.0,0.0,177737.07,0.0 +504.0,Germany,Male,32.0,8.0,170291.22,2.0,0.0,1.0,15658.99,0.0 +656.0,Germany,Male,27.0,4.0,118627.16,2.0,1.0,1.0,160835.3,0.0 +646.0,France,Male,30.0,7.0,0.0,2.0,1.0,0.0,153566.97,0.0 +638.0,Germany,Female,37.0,7.0,124513.66,2.0,1.0,0.0,158610.89,0.0 +723.0,France,Male,28.0,4.0,0.0,2.0,1.0,1.0,123885.88,0.0 +615.0,France,Male,36.0,6.0,0.0,1.0,1.0,1.0,27011.8,0.0 +571.0,France,Female,35.0,1.0,104783.81,2.0,0.0,1.0,178512.52,0.0 +684.0,France,Male,38.0,4.0,0.0,3.0,1.0,0.0,75609.84, +684.0,France,Male,35.0,3.0,137179.39,1.0,1.0,1.0,37264.11, +710.0,Spain,Male,35.0,1.0,106518.52,1.0,1.0,1.0,127951.81,0.0 +709.0,France,Male,26.0,6.0,156551.63,1.0,0.0,1.0,4410.77,0.0 +593.0,Spain,Male,27.0,10.0,0.0,3.0,0.0,0.0,94620.0, +674.0,France,Female,26.0,10.0,0.0,2.0,1.0,1.0,138423.1,1.0 +783.0,Spain,Female,44.0,3.0,81811.71,1.0,1.0,0.0,164213.53,0.0 +680.0,Germany,Female,42.0,7.0,105722.69,1.0,1.0,1.0,90558.24,0.0 +712.0,Spain,Female,30.0,6.0,0.0,2.0,1.0,0.0,152417.97, +711.0,Germany,Male,26.0,9.0,128793.63,1.0,1.0,0.0,19262.05, +659.0,France,Female,37.0,1.0,151105.68,1.0,1.0,1.0,140934.57,0.0 +552.0,Spain,Female,34.0,4.0,0.0,2.0,1.0,0.0,140286.69,0.0 +726.0,France,Female,34.0,0.0,185734.75,1.0,1.0,1.0,102036.82,0.0 +708.0,France,Female,67.0,1.0,0.0,2.0,0.0,1.0,3837.08, +495.0,France,Male,30.0,10.0,129755.99,1.0,0.0,0.0,172749.65,0.0 +701.0,Spain,Male,36.0,8.0,0.0,2.0,1.0,0.0,169161.46,0.0 +723.0,Germany,Male,52.0,5.0,131694.97,1.0,0.0,1.0,92873.5,0.0 +665.0,Spain,Female,40.0,1.0,173432.55,1.0,0.0,1.0,116766.79,1.0 +629.0,Germany,Male,35.0,8.0,112330.83,1.0,1.0,1.0,91001.02,0.0 +850.0,Germany,Female,36.0,6.0,143644.16,1.0,1.0,0.0,22102.25, +627.0,Germany,Male,30.0,3.0,128770.88,2.0,1.0,1.0,40199.01,0.0 +557.0,France,Female,28.0,7.0,146445.24,2.0,1.0,0.0,184317.74,0.0 +603.0,Spain,Female,39.0,5.0,162390.52,2.0,1.0,0.0,54702.66, +655.0,Spain,Female,35.0,1.0,82231.51,2.0,1.0,0.0,88798.02,0.0 +766.0,Germany,Female,38.0,7.0,130933.74,1.0,0.0,1.0,2035.94,0.0 +699.0,Spain,Male,31.0,6.0,114493.68,1.0,0.0,0.0,138396.32,0.0 +376.0,Germany,Female,29.0,4.0,115046.74,4.0,1.0,0.0,119346.88,0.0 +420.0,Spain,Female,55.0,4.0,91893.32,1.0,1.0,0.0,144870.28,0.0 +635.0,France,Female,33.0,5.0,0.0,2.0,1.0,0.0,122949.71, +485.0,France,Female,27.0,3.0,0.0,2.0,1.0,0.0,141449.86,1.0 +524.0,France,Male,50.0,4.0,0.0,2.0,1.0,1.0,31840.59,0.0 +535.0,Germany,Male,38.0,8.0,127475.24,1.0,0.0,0.0,60775.76,0.0 +476.0,France,Female,32.0,6.0,111871.93,1.0,0.0,0.0,112132.86,0.0 +511.0,France,Male,45.0,5.0,68375.27,1.0,1.0,0.0,193160.25,0.0 +558.0,Spain,Male,40.0,4.0,161766.87,1.0,0.0,0.0,92378.54, +670.0,France,Male,22.0,2.0,114991.45,1.0,1.0,1.0,37392.56, +850.0,Spain,Male,39.0,6.0,133214.13,1.0,0.0,1.0,20769.88,0.0 +453.0,Germany,Female,40.0,1.0,111524.49,1.0,1.0,1.0,120373.84,0.0 +615.0,Germany,Male,43.0,3.0,86920.86,1.0,1.0,1.0,150048.37,0.0 +531.0,France,Male,29.0,3.0,114590.58,1.0,0.0,0.0,75585.48,0.0 +521.0,Spain,Female,34.0,7.0,70731.07,1.0,1.0,1.0,20243.97,1.0 +578.0,Germany,Female,36.0,8.0,129745.1,1.0,1.0,1.0,143683.75,0.0 +730.0,Spain,Female,39.0,6.0,140094.59,1.0,1.0,0.0,172450.04, +606.0,France,Male,61.0,5.0,108166.09,2.0,0.0,1.0,8643.21,0.0 +686.0,Germany,Female,43.0,5.0,154846.24,2.0,1.0,1.0,151903.6,0.0 +665.0,France,Female,34.0,5.0,67816.72,1.0,1.0,1.0,29641.58,1.0 +635.0,France,Female,47.0,2.0,125724.95,2.0,1.0,0.0,63236.97,0.0 +592.0,France,Male,37.0,3.0,96651.03,1.0,1.0,1.0,3232.82,1.0 +593.0,France,Female,35.0,6.0,133489.12,2.0,1.0,1.0,78101.29,1.0 +850.0,France,Female,33.0,3.0,0.0,2.0,1.0,1.0,11159.19,0.0 +659.0,France,Female,33.0,7.0,89939.62,1.0,1.0,0.0,136540.09, +769.0,Spain,Male,39.0,9.0,0.0,1.0,1.0,1.0,47722.79,0.0 +744.0,France,Female,44.0,3.0,0.0,2.0,1.0,1.0,189016.14,0.0 +710.0,Spain,Male,62.0,3.0,131078.42,2.0,1.0,0.0,119348.76, +580.0,France,Male,34.0,6.0,0.0,2.0,1.0,1.0,160095.31, +720.0,France,Male,29.0,2.0,0.0,2.0,1.0,0.0,39925.52, +600.0,France,Female,32.0,7.0,98877.95,1.0,1.0,0.0,132973.21,0.0 +704.0,France,Male,39.0,2.0,111525.02,1.0,1.0,0.0,199484.96,0.0 +479.0,Germany,Male,51.0,1.0,107714.74,3.0,1.0,0.0,86128.21, +761.0,France,Female,33.0,6.0,138053.79,2.0,1.0,0.0,148779.41,0.0 +681.0,France,Female,18.0,1.0,98894.39,1.0,1.0,1.0,9596.4,0.0 +625.0,Germany,Female,49.0,4.0,128504.76,1.0,1.0,0.0,126812.63,0.0 +615.0,Spain,Female,41.0,9.0,109013.23,1.0,1.0,0.0,196499.96,1.0 +459.0,Germany,Male,46.0,7.0,110356.42,1.0,1.0,0.0,4969.13,0.0 +497.0,Spain,Male,27.0,9.0,75263.16,1.0,1.0,1.0,164825.04,0.0 +773.0,Spain,Female,23.0,8.0,0.0,2.0,1.0,0.0,56759.79,0.0 +623.0,France,Male,40.0,6.0,0.0,2.0,1.0,1.0,66119.07,0.0 +756.0,Germany,Female,39.0,3.0,100717.85,3.0,1.0,1.0,73406.04,0.0 +781.0,France,Male,38.0,2.0,117810.79,1.0,0.0,1.0,65632.33, +669.0,France,Female,31.0,6.0,113000.66,1.0,1.0,0.0,40467.82, +565.0,France,Female,38.0,5.0,126645.13,1.0,1.0,1.0,168303.55,0.0 +720.0,Spain,Male,64.0,3.0,45752.78,2.0,1.0,0.0,79623.28, +616.0,France,Male,29.0,9.0,0.0,1.0,1.0,1.0,166984.44,0.0 +850.0,Germany,Male,32.0,3.0,137714.25,1.0,0.0,1.0,159403.68,0.0 +537.0,Germany,Female,37.0,7.0,158411.95,4.0,1.0,1.0,117690.58,0.0 +850.0,France,Female,46.0,3.0,0.0,2.0,1.0,1.0,187980.21,0.0 +492.0,France,Male,35.0,8.0,121063.49,1.0,0.0,0.0,85421.48,0.0 +597.0,Germany,Female,22.0,6.0,101528.61,1.0,1.0,0.0,70529.0,0.0 +772.0,Spain,Male,36.0,3.0,112029.83,1.0,1.0,1.0,186948.35, +678.0,France,Female,41.0,9.0,0.0,1.0,0.0,0.0,13160.03,0.0 +771.0,France,Female,66.0,7.0,143773.07,1.0,1.0,1.0,130827.88,0.0 +547.0,France,Female,29.0,6.0,104450.86,1.0,1.0,1.0,37160.28,0.0 +568.0,Germany,Male,43.0,5.0,87612.64,4.0,1.0,1.0,107155.4,0.0 +729.0,France,Female,36.0,8.0,109106.8,1.0,0.0,0.0,121311.12,0.0 +748.0,Spain,Female,23.0,8.0,85600.08,1.0,0.0,0.0,134077.71,1.0 +650.0,France,Male,33.0,0.0,98064.97,1.0,1.0,0.0,52411.99,0.0 +784.0,Germany,Male,28.0,2.0,109960.06,2.0,1.0,1.0,170829.87, +585.0,Germany,Male,36.0,5.0,146050.97,2.0,0.0,0.0,86424.57,0.0 +510.0,France,Male,63.0,8.0,0.0,2.0,1.0,1.0,115291.86,0.0 +680.0,France,Female,47.0,5.0,0.0,2.0,1.0,1.0,179843.33,0.0 +628.0,Germany,Female,51.0,9.0,155903.82,2.0,1.0,1.0,71159.84,0.0 +608.0,France,Male,33.0,4.0,0.0,1.0,0.0,1.0,130474.03,0.0 +655.0,France,Male,28.0,10.0,0.0,2.0,0.0,1.0,126565.21,1.0 +662.0,Spain,Female,41.0,4.0,90350.77,1.0,1.0,0.0,75884.65,0.0 +624.0,France,Male,71.0,7.0,0.0,2.0,1.0,1.0,108841.83,0.0 +706.0,France,Female,29.0,5.0,112564.62,1.0,1.0,0.0,42334.38,1.0 +624.0,France,Female,38.0,3.0,0.0,2.0,1.0,1.0,163666.85,0.0 +589.0,Germany,Female,36.0,9.0,140355.56,2.0,1.0,0.0,136329.96,0.0 +627.0,France,Male,41.0,3.0,0.0,2.0,1.0,0.0,132719.8,1.0 +440.0,France,Male,42.0,2.0,0.0,2.0,1.0,0.0,49826.68,0.0 +745.0,Germany,Male,48.0,10.0,96048.55,1.0,1.0,0.0,74510.65,0.0 +651.0,Germany,Female,34.0,10.0,148962.46,1.0,1.0,0.0,66389.43,1.0 +672.0,France,Male,39.0,2.0,0.0,2.0,1.0,0.0,87372.49,1.0 +665.0,Germany,Female,37.0,3.0,111911.63,1.0,1.0,1.0,110359.68,0.0 +584.0,France,Male,38.0,9.0,104584.16,1.0,1.0,0.0,176678.72,1.0 +692.0,Germany,Male,24.0,2.0,120596.93,1.0,0.0,1.0,180490.53, +720.0,France,Female,34.0,3.0,118307.57,2.0,1.0,1.0,136120.29, +778.0,Germany,Male,41.0,7.0,139706.31,1.0,1.0,0.0,63337.19,0.0 +645.0,Spain,Male,49.0,2.0,0.0,2.0,0.0,0.0,10023.15,0.0 +573.0,Spain,Male,46.0,3.0,65269.23,1.0,0.0,1.0,189988.65,1.0 +661.0,Germany,Male,35.0,8.0,124098.54,1.0,1.0,0.0,86678.48,1.0 +786.0,Spain,Female,34.0,9.0,0.0,2.0,1.0,0.0,117034.32,0.0 +660.0,Germany,Male,28.0,1.0,118402.25,2.0,1.0,0.0,14288.93,0.0 +634.0,France,Male,44.0,9.0,149961.11,1.0,1.0,0.0,57121.51,1.0 +708.0,France,Male,32.0,10.0,86614.06,2.0,1.0,1.0,172129.26,0.0 +789.0,Germany,Female,37.0,6.0,110689.07,1.0,1.0,1.0,71121.04,0.0 +671.0,France,Male,27.0,5.0,0.0,2.0,0.0,0.0,120893.07,0.0 +714.0,Germany,Male,29.0,6.0,92887.13,1.0,1.0,1.0,69578.49,0.0 +681.0,Germany,Male,42.0,3.0,118199.97,2.0,1.0,0.0,9452.88,1.0 +571.0,France,Male,49.0,4.0,180614.04,1.0,0.0,0.0,523.0,0.0 +703.0,Spain,Male,20.0,3.0,165260.98,1.0,1.0,1.0,41626.78,0.0 +705.0,Germany,Female,43.0,10.0,146547.78,1.0,0.0,1.0,10072.55,0.0 +850.0,Spain,Male,37.0,4.0,137204.77,1.0,1.0,1.0,28865.59,0.0 +663.0,Germany,Male,42.0,7.0,115930.87,1.0,1.0,0.0,19862.78,0.0 +762.0,France,Male,26.0,6.0,130428.78,1.0,1.0,0.0,173365.89,0.0 +734.0,France,Male,43.0,7.0,107805.67,1.0,0.0,0.0,182505.68,0.0 +738.0,France,Male,39.0,5.0,0.0,2.0,1.0,1.0,114388.98, +647.0,Germany,Female,22.0,3.0,97975.82,2.0,0.0,1.0,62083.0,0.0 +566.0,Germany,Female,35.0,1.0,123042.0,1.0,1.0,0.0,66245.44,1.0 +809.0,Germany,Male,50.0,10.0,118098.62,1.0,1.0,1.0,100720.02,1.0 +701.0,Spain,Female,39.0,9.0,0.0,2.0,1.0,1.0,110043.88,0.0 +613.0,France,Male,42.0,7.0,115076.06,1.0,1.0,1.0,79323.61,0.0 +643.0,Spain,Female,20.0,0.0,133313.34,1.0,1.0,1.0,3965.69,0.0 +587.0,Spain,Female,34.0,1.0,0.0,2.0,1.0,1.0,97932.68,1.0 +624.0,Spain,Male,33.0,6.0,0.0,2.0,0.0,0.0,76551.7,0.0 +727.0,Germany,Male,39.0,5.0,80615.46,2.0,0.0,0.0,180962.32, +675.0,Spain,Male,35.0,8.0,0.0,2.0,1.0,0.0,29062.25,0.0 +674.0,Spain,Male,36.0,2.0,0.0,2.0,1.0,1.0,182787.17,0.0 +678.0,Germany,Female,40.0,8.0,128644.46,1.0,0.0,0.0,167673.37, +640.0,Spain,Female,32.0,6.0,118879.35,2.0,1.0,1.0,19131.71,0.0 +730.0,Spain,Male,42.0,4.0,0.0,2.0,0.0,1.0,85982.47,0.0 +710.0,Germany,Female,30.0,10.0,133537.1,2.0,1.0,0.0,155593.74,1.0 +605.0,France,Male,41.0,5.0,91612.91,1.0,1.0,1.0,28427.84,0.0 +775.0,Spain,Male,27.0,4.0,0.0,1.0,1.0,1.0,40807.26, +756.0,France,Male,62.0,3.0,0.0,1.0,1.0,1.0,11199.04,1.0 +655.0,Germany,Female,32.0,6.0,130935.56,1.0,1.0,0.0,9241.83,0.0 +616.0,Spain,Female,32.0,6.0,0.0,2.0,1.0,1.0,43001.46,0.0 +717.0,Spain,Female,34.0,1.0,0.0,2.0,1.0,0.0,119313.74,0.0 +492.0,Germany,Female,30.0,10.0,77168.87,2.0,0.0,1.0,146700.22,0.0 +549.0,Germany,Male,36.0,6.0,139422.37,1.0,0.0,0.0,83983.39, +850.0,Spain,Female,43.0,2.0,125510.82,1.0,1.0,1.0,79084.1,1.0 +501.0,France,Female,29.0,8.0,0.0,2.0,1.0,0.0,112664.24,0.0 +531.0,Spain,Male,70.0,1.0,0.0,2.0,0.0,0.0,99503.19,0.0 +581.0,France,Male,30.0,1.0,0.0,2.0,1.0,0.0,199464.08,1.0 +550.0,France,Female,40.0,7.0,114354.95,1.0,1.0,0.0,54018.93,0.0 +516.0,France,Female,33.0,7.0,127305.5,1.0,1.0,1.0,120037.36,0.0 +725.0,Germany,Male,40.0,8.0,104149.66,1.0,1.0,0.0,62027.9,0.0 +837.0,France,Female,29.0,9.0,0.0,2.0,1.0,1.0,41866.26, +474.0,France,Female,30.0,9.0,0.0,2.0,0.0,0.0,63158.22,0.0 +637.0,Germany,Male,51.0,1.0,104682.83,1.0,1.0,0.0,55266.96, +443.0,Germany,Male,50.0,3.0,117206.3,1.0,1.0,0.0,42840.18,0.0 +660.0,Germany,Male,41.0,1.0,129901.21,1.0,1.0,0.0,26025.6,1.0 +665.0,France,Male,52.0,3.0,0.0,1.0,1.0,0.0,116137.01,0.0 +664.0,France,Male,40.0,9.0,0.0,2.0,1.0,0.0,194767.3,0.0 +640.0,France,Female,29.0,3.0,0.0,2.0,1.0,0.0,2743.69,0.0 +485.0,France,Female,25.0,3.0,134467.26,1.0,1.0,1.0,113266.09,1.0 +612.0,France,Male,32.0,3.0,121394.42,1.0,1.0,0.0,164081.42, +643.0,Germany,Female,34.0,7.0,160426.07,1.0,0.0,1.0,188533.11,0.0 +479.0,France,Male,47.0,6.0,121797.09,1.0,0.0,1.0,5811.9, +838.0,Spain,Female,41.0,5.0,0.0,2.0,1.0,0.0,81313.51,1.0 +554.0,France,Female,38.0,3.0,138731.95,1.0,1.0,1.0,194138.36,0.0 +648.0,Spain,Male,42.0,2.0,98795.61,2.0,1.0,0.0,89123.99,1.0 +632.0,France,Male,32.0,6.0,111589.33,1.0,1.0,1.0,170382.99,0.0 +550.0,France,Female,48.0,6.0,0.0,2.0,1.0,1.0,191870.28,0.0 +437.0,France,Female,26.0,1.0,120923.52,1.0,0.0,1.0,78854.57,0.0 +671.0,France,Female,29.0,3.0,0.0,2.0,1.0,0.0,158043.11, +850.0,France,Male,30.0,9.0,121535.18,1.0,0.0,0.0,40313.47,0.0 +544.0,Germany,Male,37.0,2.0,79731.91,1.0,1.0,1.0,57558.95,0.0 +650.0,France,Male,37.0,5.0,106967.18,1.0,0.0,0.0,24495.03,0.0 +698.0,Spain,Female,63.0,5.0,0.0,1.0,1.0,1.0,173576.71,1.0 +659.0,France,Female,32.0,2.0,155584.21,1.0,0.0,1.0,153662.88,0.0 +669.0,Germany,Male,47.0,0.0,63723.78,2.0,1.0,1.0,181928.25,0.0 +840.0,France,Female,39.0,1.0,94968.97,1.0,1.0,0.0,84487.62,0.0 +850.0,Spain,Female,29.0,10.0,0.0,2.0,1.0,1.0,94815.04,0.0 +625.0,France,Male,22.0,9.0,0.0,2.0,1.0,0.0,157072.91, +525.0,France,Female,59.0,6.0,55328.4,1.0,1.0,0.0,83342.73,1.0 +775.0,Germany,Male,70.0,6.0,119684.88,2.0,1.0,1.0,74532.02,1.0 +564.0,France,Male,42.0,7.0,99824.45,1.0,1.0,1.0,36721.4,0.0 +678.0,France,Male,26.0,3.0,0.0,2.0,1.0,0.0,4989.33,1.0 +522.0,France,Male,41.0,5.0,144147.68,1.0,1.0,1.0,14789.9,0.0 +680.0,France,Male,34.0,9.0,0.0,2.0,1.0,1.0,95686.6, +786.0,Germany,Female,33.0,0.0,122325.58,1.0,0.0,0.0,34712.34, +619.0,France,Female,49.0,9.0,145359.99,1.0,1.0,0.0,38186.85,0.0 +524.0,France,Male,40.0,2.0,180516.9,1.0,1.0,0.0,180002.42,0.0 +629.0,France,Female,33.0,6.0,0.0,2.0,1.0,1.0,59129.72, +605.0,Spain,Male,47.0,7.0,142643.54,1.0,1.0,0.0,189310.27,0.0 +618.0,Germany,Male,44.0,5.0,157955.83,2.0,0.0,0.0,139297.71,0.0 +842.0,France,Female,37.0,4.0,132446.08,2.0,1.0,0.0,87071.18,1.0 +685.0,France,Male,33.0,6.0,0.0,1.0,1.0,0.0,58458.26,1.0 +697.0,Spain,Female,37.0,7.0,168066.87,1.0,1.0,0.0,35450.53,0.0 +623.0,France,Male,27.0,4.0,120509.81,1.0,0.0,0.0,142170.44,1.0 +670.0,France,Female,39.0,8.0,101928.51,1.0,0.0,0.0,89205.54,0.0 +624.0,Germany,Male,27.0,9.0,94667.29,2.0,0.0,1.0,4470.52,0.0 +662.0,Germany,Male,30.0,5.0,115286.68,2.0,1.0,1.0,149587.92, +535.0,France,Female,27.0,6.0,0.0,2.0,0.0,1.0,49775.58, +604.0,France,Male,26.0,8.0,149542.52,2.0,0.0,1.0,197911.52,0.0 +667.0,Germany,Female,39.0,4.0,83765.35,2.0,1.0,0.0,118358.54,1.0 +653.0,Germany,Female,37.0,3.0,125734.2,2.0,1.0,0.0,134625.09,1.0 +646.0,Germany,Female,52.0,6.0,111739.4,2.0,0.0,1.0,68367.18,0.0 +486.0,Germany,Male,37.0,9.0,115217.99,2.0,1.0,0.0,144995.33,0.0 +798.0,Germany,Female,29.0,8.0,80204.11,2.0,1.0,0.0,70223.22, +618.0,France,Male,48.0,7.0,0.0,1.0,1.0,0.0,13921.82,0.0 +579.0,France,Male,31.0,6.0,0.0,2.0,1.0,0.0,26149.25,0.0 +734.0,Germany,Male,33.0,5.0,121898.58,1.0,1.0,0.0,61829.89, +667.0,Germany,Male,32.0,0.0,103846.65,1.0,1.0,0.0,20560.69,0.0 +741.0,Spain,Female,42.0,9.0,121056.63,2.0,1.0,0.0,39122.58,0.0 +579.0,France,Female,26.0,10.0,162482.76,1.0,1.0,1.0,18458.2,0.0 +692.0,Spain,Female,49.0,9.0,0.0,2.0,1.0,0.0,178342.63,0.0 +691.0,France,Male,38.0,1.0,0.0,2.0,0.0,0.0,44653.5,1.0 +705.0,France,Male,25.0,9.0,0.0,2.0,0.0,1.0,112331.19,1.0 +784.0,Spain,Female,42.0,2.0,109052.04,2.0,1.0,0.0,6409.55, +756.0,Germany,Female,39.0,5.0,149363.12,2.0,1.0,1.0,109098.39, +714.0,Germany,Male,53.0,1.0,99141.86,1.0,1.0,1.0,72496.05,0.0 +417.0,France,Male,34.0,7.0,0.0,2.0,1.0,0.0,55003.79,1.0 +676.0,France,Male,40.0,8.0,114005.78,1.0,1.0,1.0,67998.45,0.0 +581.0,Germany,Female,26.0,3.0,105099.45,1.0,1.0,1.0,184520.0,1.0 +472.0,Spain,Male,40.0,4.0,0.0,1.0,1.0,0.0,70154.22,1.0 +787.0,France,Male,46.0,7.0,117685.31,2.0,1.0,1.0,93360.35,0.0 +679.0,France,Male,36.0,6.0,147733.64,1.0,0.0,1.0,172501.38,0.0 +528.0,France,Female,26.0,10.0,102073.67,2.0,0.0,0.0,166799.93,0.0 +609.0,France,Female,35.0,2.0,147900.43,1.0,1.0,0.0,140000.29,0.0 +657.0,France,Female,39.0,4.0,80293.81,1.0,1.0,0.0,97192.76,0.0 +570.0,Spain,Male,34.0,10.0,0.0,2.0,0.0,1.0,183387.12, +719.0,Spain,Male,40.0,4.0,128389.12,1.0,1.0,1.0,176091.31,1.0 +651.0,Spain,Male,42.0,2.0,143145.87,2.0,1.0,0.0,43612.06, +627.0,Germany,Female,35.0,2.0,137852.96,1.0,1.0,1.0,172269.21, +641.0,Spain,Male,25.0,10.0,0.0,2.0,1.0,1.0,180808.39, +717.0,France,Female,22.0,5.0,112465.06,1.0,1.0,1.0,92977.75, +637.0,Germany,Male,35.0,8.0,147127.81,2.0,1.0,1.0,84760.7,0.0 +835.0,France,Male,32.0,8.0,124993.29,2.0,1.0,1.0,27548.06,0.0 +711.0,France,Female,28.0,8.0,0.0,2.0,0.0,0.0,105159.89, +466.0,Germany,Female,47.0,5.0,102085.72,1.0,1.0,1.0,183536.24, +682.0,France,Female,33.0,8.0,74963.5,1.0,1.0,1.0,32770.56,0.0 +607.0,Spain,Female,33.0,2.0,108431.87,2.0,0.0,1.0,109291.39,0.0 +699.0,France,Male,28.0,7.0,0.0,2.0,1.0,1.0,22684.78,0.0 +565.0,France,Male,32.0,9.0,0.0,2.0,1.0,0.0,5388.3, +504.0,Germany,Male,56.0,9.0,104217.3,1.0,0.0,0.0,55857.48,0.0 +628.0,Spain,Female,22.0,3.0,0.0,1.0,1.0,0.0,85426.28,1.0 +573.0,France,Male,31.0,2.0,0.0,2.0,1.0,1.0,91957.39,0.0 +625.0,France,Female,52.0,2.0,79468.96,1.0,1.0,1.0,84606.03,0.0 +611.0,France,Female,37.0,6.0,0.0,2.0,1.0,0.0,110782.88,0.0 +729.0,France,Female,62.0,4.0,140549.4,1.0,1.0,0.0,30990.16,0.0 +552.0,Germany,Male,38.0,10.0,132271.12,2.0,1.0,1.0,46562.02,0.0 +662.0,France,Female,29.0,10.0,0.0,2.0,1.0,0.0,137508.31,0.0 +698.0,France,Female,27.0,1.0,94920.71,1.0,1.0,1.0,40339.9,0.0 +710.0,Germany,Female,46.0,10.0,120530.34,1.0,1.0,0.0,166586.99,0.0 +710.0,Spain,Male,22.0,8.0,0.0,3.0,1.0,0.0,107292.91, +636.0,France,Female,34.0,3.0,0.0,2.0,1.0,1.0,44756.25,0.0 +575.0,France,Male,27.0,3.0,139301.68,1.0,1.0,0.0,99843.98,0.0 +661.0,France,Male,35.0,5.0,0.0,1.0,1.0,0.0,155394.52,0.0 +638.0,Spain,Male,44.0,9.0,77637.35,2.0,1.0,1.0,111346.22,0.0 +735.0,Spain,Male,36.0,5.0,0.0,2.0,1.0,0.0,105152.17,0.0 +615.0,Germany,Male,39.0,5.0,113193.51,2.0,1.0,1.0,52166.25,0.0 +640.0,France,Female,47.0,6.0,89799.46,2.0,0.0,1.0,13783.77, +558.0,Spain,Male,45.0,4.0,0.0,1.0,1.0,0.0,131807.14,0.0 +850.0,France,Male,28.0,8.0,67639.56,2.0,1.0,1.0,194245.29,0.0 +529.0,France,Female,31.0,5.0,0.0,2.0,1.0,0.0,26817.23,0.0 +681.0,Spain,Male,30.0,2.0,111093.01,1.0,1.0,0.0,68985.99,0.0 +670.0,Germany,Female,33.0,9.0,84521.48,2.0,0.0,1.0,198017.05,0.0 +771.0,France,Male,50.0,3.0,105229.72,1.0,1.0,1.0,16281.68, +525.0,Germany,Female,47.0,1.0,118087.68,1.0,1.0,0.0,88120.78, +749.0,France,Male,37.0,7.0,0.0,2.0,1.0,0.0,20306.79,0.0 +622.0,France,Male,38.0,5.0,0.0,2.0,0.0,0.0,105295.77,0.0 +590.0,Germany,Male,36.0,6.0,92340.69,2.0,1.0,1.0,174667.58,1.0 +578.0,Germany,Female,38.0,4.0,113150.44,2.0,1.0,0.0,176712.59,1.0 +731.0,France,Female,52.0,10.0,0.0,1.0,1.0,1.0,24998.75,0.0 +649.0,France,Male,33.0,2.0,0.0,2.0,1.0,0.0,2010.98,1.0 +644.0,Spain,Male,49.0,10.0,0.0,2.0,1.0,1.0,145089.64, +546.0,France,Male,29.0,5.0,0.0,1.0,1.0,1.0,94823.95,0.0 +510.0,Germany,Female,50.0,7.0,123936.54,1.0,1.0,1.0,23768.01,1.0 +676.0,Germany,Female,34.0,4.0,89437.03,1.0,1.0,1.0,189540.95,0.0 +718.0,France,Female,31.0,1.0,152663.77,1.0,0.0,1.0,17128.64,0.0 +697.0,France,Male,35.0,5.0,133087.76,1.0,1.0,0.0,64771.61,0.0 +793.0,France,Female,41.0,3.0,141806.46,1.0,1.0,0.0,102921.17,0.0 +672.0,France,Female,50.0,1.0,0.0,1.0,1.0,0.0,12106.82,0.0 +648.0,France,Female,54.0,9.0,120633.42,1.0,0.0,0.0,5924.38,0.0 +648.0,Germany,Male,37.0,6.0,131753.41,1.0,1.0,0.0,86894.67, +576.0,Germany,Male,29.0,7.0,130575.26,1.0,0.0,1.0,173629.78, +775.0,Germany,Male,36.0,2.0,109949.05,2.0,0.0,1.0,71682.54,0.0 +562.0,Germany,Male,31.0,4.0,127237.25,2.0,0.0,1.0,143317.42,0.0 +699.0,France,Male,29.0,3.0,125689.29,1.0,1.0,1.0,151623.71,1.0 +709.0,France,Female,36.0,7.0,0.0,1.0,0.0,1.0,42085.58, +623.0,France,Female,24.0,5.0,0.0,2.0,1.0,0.0,116160.04,1.0 +587.0,France,Male,38.0,0.0,0.0,2.0,1.0,0.0,47414.15,1.0 +681.0,France,Male,34.0,7.0,0.0,2.0,0.0,0.0,130686.59,0.0 +503.0,Germany,Male,30.0,10.0,136622.55,2.0,0.0,0.0,47310.24,0.0 +691.0,Spain,Male,36.0,7.0,129934.64,1.0,0.0,0.0,75664.56,0.0 +505.0,Spain,Male,37.0,0.0,134006.39,1.0,1.0,1.0,93736.69, +598.0,Germany,Male,20.0,8.0,180293.84,2.0,1.0,1.0,29552.7,0.0 +679.0,France,Male,42.0,1.0,0.0,2.0,0.0,0.0,71823.15, +691.0,Spain,Male,35.0,6.0,0.0,2.0,0.0,1.0,178038.17,0.0 +595.0,France,Male,41.0,9.0,0.0,2.0,1.0,0.0,5967.09,0.0 +508.0,France,Female,31.0,7.0,0.0,2.0,1.0,1.0,6123.15,1.0 +496.0,France,Male,31.0,5.0,0.0,2.0,1.0,0.0,93713.13, +678.0,France,Female,46.0,1.0,0.0,2.0,0.0,0.0,82106.19,0.0 +643.0,Germany,Male,33.0,7.0,98630.31,2.0,1.0,1.0,40250.82,0.0 +675.0,France,Male,28.0,9.0,0.0,1.0,1.0,0.0,134110.93,0.0 +759.0,France,Female,31.0,1.0,109848.6,1.0,1.0,1.0,42012.55,0.0 +554.0,France,Female,22.0,8.0,0.0,2.0,0.0,1.0,142670.61,1.0 +715.0,France,Male,45.0,4.0,0.0,2.0,1.0,1.0,55043.93, +686.0,Spain,Female,47.0,6.0,0.0,1.0,1.0,0.0,32080.69, +530.0,Spain,Female,36.0,7.0,0.0,2.0,1.0,0.0,80619.09,1.0 +608.0,Germany,Male,42.0,8.0,131390.75,2.0,1.0,0.0,71178.09,1.0 +567.0,Germany,Female,46.0,1.0,68238.51,2.0,1.0,1.0,109572.58, +710.0,Germany,Female,41.0,9.0,149155.53,2.0,1.0,0.0,42131.26,0.0 +739.0,France,Male,41.0,5.0,0.0,2.0,0.0,0.0,143882.25,0.0 +672.0,France,Male,47.0,1.0,0.0,1.0,0.0,0.0,91574.92, +615.0,France,Male,30.0,7.0,0.0,2.0,1.0,1.0,156346.84,0.0 +678.0,France,Male,26.0,5.0,111128.04,1.0,1.0,0.0,60941.27,0.0 +807.0,Germany,Female,40.0,1.0,134590.21,1.0,1.0,1.0,46253.65,0.0 +747.0,Germany,Male,29.0,7.0,117726.33,1.0,1.0,1.0,175398.34,0.0 +613.0,France,Female,40.0,9.0,95624.36,2.0,1.0,1.0,60706.33,0.0 +601.0,France,Male,40.0,10.0,98627.13,2.0,0.0,0.0,77977.69, +615.0,Germany,Female,44.0,9.0,126104.98,2.0,0.0,1.0,110718.02,0.0 +550.0,Germany,Male,38.0,2.0,103391.38,1.0,0.0,1.0,90878.13,1.0 +509.0,France,Male,35.0,8.0,0.0,2.0,0.0,1.0,67431.28, +629.0,Germany,Female,38.0,9.0,123948.85,1.0,1.0,0.0,76053.07, +666.0,France,Male,46.0,5.0,123873.19,1.0,1.0,1.0,177844.06,0.0 +628.0,Spain,Male,43.0,3.0,184926.61,1.0,1.0,0.0,122937.57,1.0 +690.0,Spain,Female,36.0,10.0,91760.11,1.0,1.0,1.0,135784.94, +832.0,France,Male,61.0,2.0,0.0,1.0,0.0,1.0,127804.66,0.0 +621.0,France,Male,32.0,1.0,0.0,2.0,1.0,1.0,168779.47,0.0 +844.0,Spain,Male,56.0,5.0,99529.7,1.0,0.0,1.0,157230.06,0.0 +744.0,Germany,Male,41.0,7.0,190409.34,2.0,1.0,1.0,138361.48, +618.0,France,Male,37.0,2.0,168178.21,2.0,0.0,1.0,101273.23,0.0 +623.0,France,Female,35.0,0.0,130557.24,1.0,1.0,1.0,47880.71,0.0 +508.0,France,Male,49.0,7.0,122451.46,2.0,1.0,1.0,75808.1,0.0 +701.0,Spain,Female,30.0,2.0,0.0,2.0,1.0,0.0,115650.63,0.0 +624.0,France,Female,62.0,7.0,125163.62,2.0,1.0,1.0,151411.5,0.0 +490.0,Germany,Male,33.0,5.0,96341.0,2.0,0.0,0.0,108313.34,0.0 +583.0,France,Female,38.0,10.0,0.0,2.0,0.0,1.0,113597.64,1.0 +670.0,France,Female,31.0,9.0,0.0,1.0,0.0,1.0,76254.83,1.0 +597.0,Spain,Male,43.0,2.0,85162.26,1.0,0.0,1.0,5104.08, +585.0,France,Female,39.0,7.0,0.0,2.0,1.0,0.0,2401.26,1.0 +790.0,France,Female,31.0,9.0,0.0,2.0,1.0,0.0,84126.75,1.0 +700.0,Spain,Female,46.0,5.0,56580.95,2.0,0.0,1.0,45424.13,1.0 +691.0,Germany,Male,27.0,3.0,160358.68,2.0,1.0,0.0,142367.72,1.0 +679.0,Germany,Female,50.0,6.0,132598.38,2.0,1.0,1.0,184017.98,1.0 +667.0,France,Male,33.0,4.0,0.0,2.0,1.0,1.0,131834.75,0.0 +714.0,Germany,Female,49.0,4.0,93059.34,1.0,1.0,0.0,7571.51,0.0 +472.0,France,Male,29.0,8.0,102490.27,1.0,0.0,1.0,181224.56,0.0 +573.0,France,Female,26.0,4.0,129109.02,1.0,0.0,0.0,149814.68,0.0 +670.0,France,Female,31.0,2.0,57530.06,1.0,1.0,1.0,181893.31,1.0 +757.0,Germany,Male,36.0,1.0,65349.71,1.0,0.0,0.0,64539.64, +588.0,Germany,Female,42.0,2.0,164307.77,1.0,1.0,0.0,48498.19,0.0 +608.0,Spain,Female,35.0,6.0,0.0,2.0,1.0,1.0,143463.28,0.0 +639.0,France,Female,37.0,4.0,116121.84,2.0,0.0,1.0,181850.74,0.0 +660.0,France,Male,38.0,7.0,0.0,2.0,0.0,1.0,146585.53,0.0 +586.0,France,Female,46.0,0.0,0.0,3.0,0.0,1.0,131553.82,0.0 +514.0,Spain,Male,30.0,7.0,0.0,1.0,0.0,1.0,125010.24,0.0 +780.0,Spain,Male,47.0,7.0,86006.21,1.0,1.0,1.0,37973.13, +639.0,France,Male,22.0,4.0,0.0,2.0,1.0,0.0,28188.96,0.0 +630.0,France,Female,26.0,5.0,0.0,2.0,1.0,0.0,182612.38, +725.0,France,Male,35.0,7.0,75915.75,1.0,1.0,0.0,150507.43,0.0 +668.0,France,Female,37.0,7.0,128645.67,1.0,1.0,0.0,92149.64,0.0 +482.0,Germany,Male,45.0,7.0,156353.46,1.0,1.0,0.0,72643.95,1.0 +639.0,Spain,Female,35.0,5.0,136526.26,2.0,1.0,0.0,59653.03,0.0 +617.0,Spain,Male,61.0,7.0,91070.43,1.0,1.0,1.0,101839.77,0.0 +605.0,France,Male,39.0,7.0,0.0,1.0,0.0,1.0,119348.28,0.0 +682.0,France,Female,58.0,1.0,0.0,1.0,1.0,1.0,706.5,0.0 +647.0,France,Female,42.0,9.0,0.0,2.0,1.0,1.0,51362.82,0.0 +682.0,France,Male,61.0,10.0,73688.2,1.0,1.0,1.0,172141.33,0.0 +425.0,Spain,Female,22.0,7.0,169649.73,2.0,0.0,1.0,136365.0,0.0 +708.0,Spain,Female,32.0,8.0,187487.63,1.0,1.0,1.0,120115.5,0.0 +746.0,France,Female,21.0,8.0,166883.07,2.0,0.0,1.0,194563.65,0.0 +617.0,Germany,Female,51.0,10.0,167273.71,1.0,0.0,0.0,93439.75, +671.0,France,Female,38.0,6.0,132129.72,1.0,0.0,1.0,76068.95, +793.0,Spain,Male,41.0,9.0,0.0,2.0,1.0,0.0,152153.74,0.0 +645.0,Spain,Male,38.0,1.0,68079.8,1.0,0.0,1.0,166264.89, +690.0,Spain,Male,26.0,8.0,116318.23,1.0,1.0,1.0,83253.05,0.0 +739.0,France,Male,37.0,7.0,104960.46,1.0,0.0,1.0,80883.82,0.0 +743.0,France,Female,30.0,1.0,127023.39,1.0,1.0,1.0,138780.89,0.0 +594.0,France,Female,56.0,7.0,0.0,1.0,1.0,0.0,26215.85,0.0 +611.0,France,Male,35.0,10.0,0.0,1.0,1.0,1.0,23598.23,0.0 +757.0,Germany,Male,33.0,1.0,122088.67,1.0,1.0,0.0,42581.09,0.0 +561.0,Spain,Male,34.0,4.0,85141.79,2.0,1.0,1.0,29217.37,0.0 +613.0,Germany,Female,20.0,0.0,117356.19,1.0,0.0,0.0,113557.7,0.0 +642.0,Germany,Male,18.0,5.0,111183.53,2.0,0.0,1.0,10063.75, +630.0,Spain,Female,39.0,7.0,135483.17,1.0,1.0,0.0,140881.2,1.0 +850.0,Germany,Female,45.0,5.0,127258.79,1.0,1.0,1.0,192744.23,0.0 +586.0,Spain,Female,33.0,10.0,66948.67,2.0,1.0,1.0,140759.03,0.0 +507.0,Spain,Male,32.0,7.0,0.0,2.0,1.0,0.0,67926.18, +764.0,Germany,Male,34.0,6.0,108760.27,2.0,1.0,0.0,166324.79,1.0 +619.0,Germany,Male,38.0,10.0,84651.79,1.0,1.0,1.0,184754.26, +598.0,Germany,Male,59.0,8.0,118210.42,2.0,0.0,0.0,60192.14,0.0 +568.0,France,Male,51.0,4.0,0.0,3.0,1.0,1.0,66586.56,0.0 +785.0,Germany,Female,38.0,9.0,107199.75,1.0,0.0,0.0,146398.51,1.0 +528.0,France,Male,31.0,9.0,120962.59,1.0,1.0,0.0,5419.31, +665.0,France,Female,37.0,5.0,160389.82,1.0,0.0,1.0,183542.08,0.0 +677.0,France,Female,29.0,3.0,86616.35,1.0,0.0,0.0,91903.9,0.0 +635.0,Germany,Female,44.0,2.0,79064.85,2.0,0.0,1.0,113291.75,0.0 +637.0,Spain,Female,45.0,2.0,157929.45,1.0,1.0,1.0,145134.49,0.0 +752.0,Germany,Male,32.0,9.0,115587.49,2.0,0.0,1.0,101677.46, +557.0,France,Male,36.0,3.0,0.0,1.0,0.0,1.0,144078.02, +560.0,Spain,Female,43.0,4.0,95140.44,2.0,1.0,0.0,123181.44,0.0 +630.0,Germany,Male,29.0,6.0,131354.39,1.0,0.0,1.0,9324.31, +674.0,Spain,Female,39.0,6.0,0.0,2.0,1.0,1.0,9574.83, +587.0,Spain,Female,35.0,3.0,83286.56,1.0,1.0,0.0,125553.52,0.0 +655.0,Spain,Female,27.0,9.0,0.0,2.0,0.0,0.0,108008.05,1.0 +587.0,France,Female,36.0,1.0,70784.27,1.0,1.0,0.0,30579.82,0.0 +588.0,Germany,Female,34.0,10.0,129417.82,1.0,1.0,0.0,153727.32,0.0 +686.0,Germany,Male,43.0,2.0,134896.03,1.0,1.0,1.0,97847.05,1.0 +720.0,Spain,Male,31.0,4.0,141356.47,1.0,0.0,0.0,137985.69, +571.0,France,Male,34.0,1.0,99325.04,2.0,0.0,1.0,186052.15, +569.0,Germany,Male,25.0,9.0,173459.45,2.0,1.0,1.0,44381.06,1.0 +778.0,France,Female,33.0,9.0,151772.63,2.0,0.0,0.0,180249.94,0.0 +690.0,France,Male,33.0,5.0,0.0,2.0,1.0,0.0,138017.68,0.0 +565.0,France,Male,38.0,5.0,0.0,2.0,0.0,1.0,80630.32, +713.0,Spain,Male,42.0,0.0,109121.71,1.0,0.0,1.0,167873.49, +850.0,France,Male,28.0,8.0,99986.98,1.0,1.0,0.0,196582.55,0.0 +850.0,France,Female,42.0,9.0,113311.11,1.0,1.0,1.0,198193.75,0.0 +733.0,France,Female,28.0,5.0,0.0,2.0,0.0,0.0,12761.16,0.0 +561.0,France,Male,28.0,7.0,0.0,2.0,1.0,0.0,7797.01,0.0 +749.0,Germany,Female,29.0,7.0,137059.05,3.0,1.0,0.0,102975.72,1.0 +850.0,France,Female,28.0,9.0,0.0,2.0,1.0,0.0,185821.41,1.0 +654.0,France,Female,28.0,7.0,0.0,2.0,1.0,0.0,151316.37,0.0 +668.0,France,Male,32.0,7.0,0.0,2.0,1.0,1.0,777.37,0.0 +616.0,Germany,Female,45.0,4.0,122793.96,1.0,1.0,1.0,62002.04,0.0 +746.0,France,Male,25.0,9.0,0.0,2.0,0.0,1.0,88728.47,0.0 +670.0,France,Female,27.0,5.0,79336.61,1.0,1.0,1.0,26170.08, +631.0,France,Male,36.0,1.0,0.0,2.0,0.0,0.0,133141.34, +453.0,Spain,Female,42.0,5.0,0.0,3.0,1.0,0.0,83008.49,0.0 +743.0,France,Male,32.0,9.0,0.0,2.0,1.0,0.0,175252.78,0.0 +806.0,France,Male,40.0,5.0,80613.93,1.0,1.0,1.0,142838.64,0.0 +696.0,Germany,Female,35.0,4.0,174902.26,1.0,1.0,0.0,69079.85,0.0 +759.0,France,Female,38.0,1.0,104091.29,1.0,0.0,0.0,91561.91,0.0 +681.0,Spain,Male,38.0,2.0,99811.44,2.0,1.0,0.0,23531.5, +696.0,Germany,Male,32.0,8.0,101160.99,1.0,1.0,1.0,115916.55,0.0 +616.0,Germany,Male,29.0,8.0,149318.55,1.0,1.0,0.0,140746.13,0.0 +621.0,France,Female,43.0,5.0,0.0,1.0,1.0,1.0,47578.45,0.0 +569.0,France,Male,28.0,7.0,0.0,2.0,1.0,0.0,73977.23,0.0 +711.0,France,Female,32.0,1.0,0.0,2.0,1.0,0.0,126188.42,0.0 +697.0,France,Female,76.0,7.0,0.0,2.0,0.0,1.0,188772.45,0.0 +581.0,France,Female,37.0,10.0,104255.03,1.0,1.0,0.0,86609.37,0.0 +778.0,Spain,Male,40.0,8.0,104291.41,2.0,1.0,1.0,117507.11,0.0 +791.0,France,Male,36.0,6.0,111168.97,1.0,1.0,1.0,189969.91,0.0 +623.0,France,Male,21.0,10.0,0.0,2.0,0.0,1.0,135851.3,0.0 +672.0,France,Male,34.0,9.0,0.0,2.0,1.0,0.0,161800.77,0.0 +709.0,France,Female,45.0,3.0,104118.5,1.0,0.0,1.0,174032.0,0.0 +698.0,Spain,Female,38.0,1.0,171848.38,1.0,0.0,0.0,16957.45, +554.0,Germany,Female,54.0,6.0,108755.0,1.0,1.0,0.0,40914.32,0.0 +592.0,France,Male,60.0,9.0,0.0,4.0,1.0,1.0,13614.01,1.0 +418.0,France,Male,36.0,7.0,90145.04,1.0,1.0,1.0,69157.93,1.0 +449.0,France,Female,37.0,6.0,0.0,2.0,1.0,0.0,82176.48,0.0 +744.0,France,Male,36.0,10.0,0.0,2.0,1.0,1.0,182867.84, +571.0,France,Female,38.0,6.0,107193.82,2.0,0.0,0.0,38962.94,0.0 +638.0,Spain,Male,30.0,9.0,136808.53,2.0,1.0,1.0,106642.97, +526.0,Spain,Male,38.0,2.0,0.0,2.0,0.0,0.0,58010.98,0.0 +850.0,Spain,Female,39.0,6.0,0.0,2.0,1.0,0.0,103921.43,1.0 +710.0,Spain,Female,27.0,2.0,135277.96,1.0,1.0,0.0,142200.15,0.0 +770.0,Spain,Male,30.0,8.0,0.0,2.0,0.0,1.0,50839.85,0.0 +660.0,France,Female,31.0,6.0,172325.67,1.0,0.0,1.0,45438.38,0.0 +536.0,France,Male,46.0,1.0,65733.41,1.0,1.0,0.0,61094.53,0.0 +517.0,France,Male,62.0,1.0,43772.66,3.0,1.0,0.0,187756.24,0.0 +664.0,France,Female,31.0,9.0,114519.57,2.0,0.0,1.0,79222.02,0.0 +657.0,France,Male,37.0,4.0,82500.28,1.0,1.0,1.0,115260.72,0.0 +748.0,France,Male,38.0,4.0,115221.36,1.0,0.0,1.0,70956.75,0.0 +564.0,Spain,Female,24.0,6.0,149592.14,1.0,1.0,1.0,153771.8,0.0 +554.0,France,Female,43.0,10.0,0.0,2.0,1.0,0.0,149629.13,0.0 +849.0,Germany,Female,49.0,9.0,132934.89,1.0,1.0,0.0,171056.65, +670.0,France,Female,40.0,3.0,47364.45,1.0,1.0,1.0,148579.43,0.0 +681.0,Spain,Male,33.0,10.0,0.0,1.0,0.0,0.0,158336.36, +525.0,Spain,Female,37.0,0.0,0.0,1.0,0.0,1.0,131521.72,1.0 +730.0,Spain,Female,43.0,1.0,103960.38,1.0,1.0,1.0,193650.16,1.0 +731.0,Spain,Female,39.0,2.0,126816.18,1.0,1.0,1.0,74850.93, +512.0,Spain,Male,39.0,3.0,0.0,1.0,1.0,0.0,134878.19,0.0 +552.0,France,Male,29.0,10.0,0.0,2.0,1.0,0.0,12186.83, +809.0,France,Female,38.0,2.0,154763.21,2.0,1.0,1.0,174800.31,0.0 +705.0,France,Female,49.0,7.0,0.0,1.0,1.0,0.0,63405.2,0.0 +821.0,France,Male,28.0,2.0,0.0,2.0,1.0,0.0,46072.52,0.0 +639.0,Germany,Male,35.0,10.0,128173.9,2.0,1.0,0.0,59093.39,1.0 +526.0,Spain,Male,49.0,2.0,0.0,1.0,1.0,0.0,114539.67, +719.0,Spain,Male,35.0,3.0,122964.88,1.0,1.0,1.0,138231.7,1.0 +724.0,Germany,Male,34.0,6.0,118235.7,2.0,0.0,0.0,157137.23,0.0 +722.0,Germany,Female,40.0,6.0,89175.06,2.0,0.0,1.0,152883.95, +424.0,Spain,Male,34.0,7.0,0.0,1.0,1.0,1.0,16250.61,1.0 +709.0,Spain,Female,45.0,2.0,0.0,2.0,0.0,1.0,162922.65,0.0 +655.0,Spain,Male,34.0,1.0,116114.93,1.0,1.0,1.0,49492.15,1.0 +561.0,France,Male,37.0,1.0,100443.36,2.0,0.0,1.0,101693.73,0.0 +632.0,Spain,Female,32.0,1.0,0.0,2.0,1.0,0.0,19525.65,0.0 +613.0,Spain,Female,32.0,0.0,0.0,2.0,0.0,1.0,126675.62, +541.0,France,Male,36.0,5.0,0.0,2.0,1.0,0.0,124795.84, +745.0,France,Female,46.0,7.0,0.0,2.0,1.0,1.0,67769.94,0.0 +647.0,Germany,Male,52.0,7.0,130013.12,1.0,1.0,1.0,190806.36, +694.0,France,Male,42.0,3.0,156864.2,2.0,0.0,0.0,88890.75,0.0 +629.0,Spain,Female,30.0,2.0,34013.63,1.0,1.0,0.0,19570.63,0.0 +619.0,Germany,Female,42.0,8.0,132796.04,3.0,1.0,1.0,191821.35,1.0 +653.0,Spain,Male,55.0,2.0,70263.83,1.0,0.0,1.0,62347.71,0.0 +760.0,Spain,Male,28.0,1.0,141038.57,2.0,0.0,0.0,16287.38,0.0 +465.0,Germany,Male,24.0,5.0,117154.9,1.0,1.0,1.0,127744.02,1.0 +787.0,Spain,Female,39.0,7.0,171646.76,1.0,0.0,1.0,100791.36, +572.0,Spain,Male,31.0,5.0,98108.79,1.0,0.0,1.0,119996.95,0.0 +632.0,France,Male,50.0,2.0,0.0,2.0,0.0,0.0,57942.88, +777.0,Germany,Female,46.0,0.0,107362.8,1.0,1.0,0.0,487.3,0.0 +726.0,France,Male,34.0,9.0,0.0,2.0,0.0,0.0,14121.61,1.0 +600.0,France,Female,38.0,9.0,0.0,2.0,1.0,1.0,58855.85,0.0 +727.0,Spain,Female,31.0,0.0,0.0,1.0,1.0,0.0,121751.04,0.0 +725.0,France,Male,31.0,8.0,0.0,2.0,1.0,1.0,59650.42,0.0 +550.0,Germany,Male,35.0,9.0,129847.75,2.0,1.0,0.0,197325.4, +688.0,France,Female,51.0,5.0,0.0,1.0,1.0,0.0,91624.11,1.0 +535.0,France,Male,30.0,6.0,103804.97,1.0,1.0,1.0,125710.53,0.0 +501.0,France,Female,40.0,2.0,0.0,2.0,0.0,0.0,141946.92,0.0 +609.0,Spain,Male,34.0,7.0,140694.78,2.0,1.0,0.0,46266.63,1.0 +572.0,France,Female,39.0,2.0,0.0,2.0,1.0,1.0,555.28, +776.0,Spain,Male,39.0,2.0,104349.45,1.0,0.0,0.0,79503.05,0.0 +714.0,France,Female,52.0,2.0,0.0,1.0,0.0,1.0,144045.08,0.0 +687.0,France,Female,35.0,1.0,110752.15,2.0,1.0,1.0,47921.22,0.0 +692.0,France,Male,29.0,4.0,0.0,1.0,1.0,0.0,76755.99,0.0 +632.0,Germany,Male,42.0,4.0,119624.6,2.0,1.0,1.0,195978.86,0.0 +660.0,France,Male,35.0,7.0,0.0,2.0,1.0,0.0,13218.6,0.0 +749.0,France,Male,40.0,1.0,139290.41,1.0,1.0,0.0,182855.42,0.0 +614.0,Spain,Female,25.0,10.0,75212.28,1.0,1.0,0.0,58965.04,0.0 +796.0,Germany,Male,40.0,2.0,113228.38,2.0,1.0,1.0,46415.09,0.0 +679.0,Spain,Female,39.0,7.0,91187.9,1.0,0.0,1.0,6075.36,0.0 +772.0,Germany,Female,42.0,0.0,101979.16,1.0,1.0,0.0,90928.48, +507.0,France,Female,29.0,4.0,89349.47,2.0,0.0,0.0,180626.68,0.0 +661.0,France,Male,33.0,9.0,0.0,2.0,1.0,1.0,84174.81,0.0 +506.0,France,Female,41.0,1.0,0.0,2.0,1.0,0.0,31766.3,0.0 +605.0,France,Male,27.0,9.0,0.0,2.0,1.0,0.0,198091.81, +697.0,France,Female,42.0,10.0,0.0,2.0,1.0,0.0,61312.15,0.0 +523.0,Germany,Male,27.0,8.0,61688.61,2.0,1.0,0.0,147059.16,1.0 +708.0,Spain,Male,19.0,7.0,112615.86,1.0,1.0,1.0,4491.77,1.0 +556.0,Spain,Male,38.0,2.0,115463.16,1.0,1.0,0.0,150679.65,0.0 +710.0,Germany,Male,34.0,9.0,134260.36,2.0,1.0,0.0,147074.67,0.0 +805.0,Germany,Female,26.0,8.0,42712.87,2.0,1.0,1.0,28861.69,0.0 +591.0,France,Female,38.0,2.0,142289.28,1.0,0.0,1.0,119638.85, +678.0,France,Male,66.0,8.0,0.0,2.0,1.0,1.0,47117.03,0.0 +599.0,Germany,Female,49.0,10.0,143888.22,2.0,1.0,1.0,166236.38, +578.0,France,Male,34.0,4.0,175111.11,1.0,1.0,1.0,74858.3,0.0 +484.0,France,Female,32.0,3.0,0.0,2.0,1.0,1.0,139390.99,0.0 +543.0,France,Male,64.0,4.0,0.0,2.0,1.0,1.0,148305.82, +647.0,France,Male,43.0,9.0,0.0,2.0,1.0,1.0,78488.39,0.0 +651.0,Germany,Female,35.0,1.0,163700.78,3.0,1.0,1.0,29583.48,0.0 +787.0,France,Female,42.0,10.0,145988.65,2.0,1.0,1.0,79510.37,0.0 +564.0,France,Male,40.0,4.0,0.0,1.0,1.0,0.0,85455.62,0.0 +617.0,France,Male,74.0,10.0,0.0,2.0,1.0,1.0,53949.98,1.0 +629.0,Spain,Male,39.0,5.0,0.0,2.0,0.0,0.0,116748.14,1.0 +850.0,Spain,Female,38.0,3.0,0.0,2.0,0.0,1.0,179360.76,0.0 +434.0,Germany,Female,58.0,9.0,125801.03,2.0,1.0,0.0,60891.8,0.0 +666.0,France,Female,32.0,10.0,112536.57,2.0,1.0,1.0,34350.54,0.0 +651.0,Germany,Male,35.0,8.0,110067.71,1.0,1.0,0.0,127678.95, +500.0,Spain,Male,38.0,7.0,0.0,2.0,0.0,0.0,192013.23,0.0 +711.0,France,Female,34.0,6.0,0.0,2.0,1.0,1.0,175310.38, +670.0,Spain,Female,29.0,9.0,0.0,2.0,1.0,0.0,27359.19, +652.0,Germany,Male,50.0,8.0,125437.64,1.0,1.0,1.0,17160.94,0.0 +610.0,France,Male,33.0,4.0,111582.11,1.0,0.0,0.0,113943.17,0.0 +628.0,France,Male,34.0,4.0,158741.43,2.0,1.0,1.0,126192.54,0.0 +675.0,France,Female,61.0,5.0,62055.17,3.0,1.0,0.0,166305.16,0.0 +720.0,Germany,Female,37.0,8.0,156282.79,1.0,1.0,0.0,45985.52,0.0 +589.0,France,Female,37.0,6.0,138497.84,1.0,0.0,1.0,18988.58,0.0 +548.0,Germany,Female,33.0,0.0,101084.36,1.0,1.0,0.0,42749.85,0.0 +632.0,France,Female,40.0,9.0,139625.34,1.0,1.0,0.0,93702.96, +624.0,Spain,Female,35.0,7.0,119656.45,2.0,1.0,1.0,4595.05,0.0 +834.0,France,Female,49.0,8.0,160602.25,2.0,1.0,0.0,129273.94,0.0 +549.0,Spain,Female,24.0,9.0,0.0,2.0,1.0,1.0,14406.41,1.0 +488.0,Germany,Male,32.0,3.0,114540.38,1.0,1.0,0.0,92568.07,0.0 +576.0,Germany,Female,71.0,6.0,140273.47,1.0,1.0,1.0,193135.25,1.0 +785.0,France,Male,28.0,8.0,0.0,2.0,1.0,0.0,77231.27,0.0 +550.0,France,Female,46.0,7.0,0.0,2.0,1.0,0.0,130590.35,0.0 +497.0,Germany,Male,35.0,7.0,110053.62,2.0,1.0,1.0,92887.06,1.0 +684.0,Spain,Male,41.0,2.0,119782.72,2.0,0.0,0.0,120284.67,1.0 +661.0,Germany,Female,64.0,8.0,128751.65,2.0,1.0,0.0,189398.18,0.0 +735.0,Germany,Male,43.0,10.0,123180.01,2.0,1.0,1.0,196673.28,0.0 +619.0,France,Female,35.0,8.0,132292.63,1.0,1.0,0.0,65682.93,0.0 +603.0,Spain,Male,30.0,6.0,129548.5,2.0,1.0,1.0,19282.85,0.0 +697.0,France,Male,63.0,7.0,148368.02,1.0,0.0,0.0,118862.08, +594.0,Germany,Male,41.0,2.0,122545.65,2.0,1.0,1.0,42050.24,1.0 +649.0,Germany,Male,24.0,7.0,101195.23,1.0,0.0,0.0,133091.32,1.0 +679.0,France,Male,30.0,9.0,0.0,2.0,1.0,0.0,157871.55,0.0 +602.0,France,Male,35.0,8.0,0.0,1.0,1.0,1.0,22499.29,0.0 +713.0,France,Male,33.0,6.0,94598.48,1.0,0.0,0.0,197519.66,0.0 +641.0,France,Female,26.0,4.0,91547.84,2.0,0.0,1.0,28157.34,0.0 +739.0,Spain,Male,19.0,5.0,89750.21,1.0,1.0,0.0,193008.52,0.0 +677.0,Spain,Female,35.0,0.0,0.0,2.0,0.0,0.0,76637.38,1.0 +706.0,France,Male,18.0,2.0,176139.5,2.0,1.0,0.0,129654.22,0.0 +811.0,France,Female,47.0,3.0,123365.34,2.0,0.0,0.0,171995.34, +670.0,Spain,Male,37.0,0.0,178742.71,1.0,1.0,1.0,194493.57, +739.0,Germany,Male,40.0,5.0,149131.03,3.0,1.0,1.0,60036.99,0.0 +595.0,Germany,Female,32.0,0.0,92466.21,1.0,1.0,0.0,4721.3, +526.0,Spain,Female,33.0,8.0,114634.63,2.0,1.0,0.0,110114.38,0.0 +772.0,France,Female,35.0,9.0,0.0,1.0,0.0,1.0,25448.31,0.0 +511.0,France,Female,30.0,5.0,0.0,2.0,1.0,0.0,143994.86,0.0 +701.0,France,Female,34.0,3.0,105588.66,1.0,0.0,1.0,74694.41, +758.0,France,Female,30.0,3.0,141581.08,1.0,1.0,0.0,156249.06,0.0 +620.0,France,Male,28.0,8.0,0.0,2.0,1.0,1.0,199909.32, +656.0,Spain,Male,33.0,4.0,0.0,2.0,1.0,0.0,116706.0,0.0 +733.0,France,Male,64.0,3.0,0.0,2.0,1.0,1.0,75272.63, +668.0,Germany,Female,59.0,5.0,120170.07,1.0,0.0,1.0,50454.8,0.0 +646.0,France,Female,37.0,7.0,96558.66,1.0,0.0,0.0,163427.18,0.0 +714.0,Spain,Male,34.0,5.0,0.0,2.0,1.0,0.0,193040.32,0.0 +543.0,France,Male,42.0,4.0,89838.71,3.0,1.0,0.0,85983.54,0.0 +551.0,Spain,Male,76.0,2.0,128410.71,2.0,1.0,1.0,181718.73,0.0 +703.0,France,Male,36.0,2.0,0.0,2.0,1.0,0.0,108790.95,0.0 +662.0,Spain,Male,37.0,4.0,155187.3,1.0,1.0,0.0,48930.8, +513.0,Germany,Male,34.0,7.0,60515.13,1.0,0.0,0.0,124571.09, +778.0,Spain,Male,33.0,5.0,116474.28,2.0,1.0,1.0,32757.55, +678.0,France,Female,32.0,5.0,0.0,2.0,1.0,0.0,90284.47,1.0 +814.0,Spain,Female,72.0,2.0,0.0,2.0,0.0,1.0,130853.03,1.0 +758.0,France,Female,33.0,7.0,0.0,2.0,0.0,0.0,82996.47,0.0 +757.0,Spain,Male,44.0,5.0,140856.16,2.0,1.0,0.0,158735.1,0.0 +677.0,France,Male,30.0,1.0,78133.15,1.0,0.0,1.0,174225.88, +596.0,Germany,Male,47.0,5.0,140187.1,2.0,1.0,1.0,174311.3,0.0 +668.0,France,Male,42.0,3.0,150461.07,1.0,1.0,0.0,108139.23,1.0 +583.0,Germany,Female,26.0,10.0,72835.56,2.0,1.0,0.0,96792.15,0.0 +656.0,France,Male,40.0,2.0,0.0,2.0,1.0,1.0,180553.48,0.0 +457.0,France,Female,33.0,7.0,127837.54,1.0,0.0,1.0,60013.17,0.0 +493.0,France,Female,37.0,8.0,142987.46,2.0,1.0,0.0,158840.99,1.0 +749.0,Spain,Male,38.0,9.0,129378.32,1.0,1.0,1.0,13549.34, +537.0,Spain,Female,38.0,1.0,0.0,2.0,0.0,1.0,41233.97,0.0 +652.0,Germany,Male,46.0,10.0,121063.8,3.0,1.0,0.0,151481.86,0.0 +712.0,Germany,Male,43.0,1.0,141749.74,2.0,0.0,1.0,90905.26,1.0 +634.0,France,Male,34.0,8.0,105302.66,1.0,1.0,1.0,123164.97,1.0 +363.0,Spain,Female,28.0,6.0,146098.43,3.0,1.0,0.0,100615.14,0.0 +769.0,Germany,Female,31.0,7.0,148913.72,2.0,1.0,0.0,53817.23,0.0 +648.0,Germany,Male,31.0,7.0,125681.51,1.0,0.0,1.0,129980.93,0.0 +526.0,France,Female,36.0,0.0,0.0,2.0,1.0,0.0,97767.63,0.0 +533.0,Germany,Female,49.0,1.0,102286.6,3.0,1.0,0.0,69409.37,0.0 +590.0,Spain,Female,38.0,9.0,0.0,2.0,1.0,1.0,148750.16, +678.0,Germany,Male,55.0,4.0,129646.91,1.0,1.0,1.0,184125.1, +463.0,Spain,Male,20.0,8.0,204223.03,1.0,1.0,0.0,128268.39,0.0 +718.0,Spain,Male,28.0,6.0,0.0,2.0,1.0,0.0,146875.86,0.0 +487.0,France,Male,37.0,2.0,0.0,2.0,1.0,1.0,126722.57,0.0 +663.0,France,Male,24.0,7.0,0.0,2.0,1.0,1.0,166310.82, +678.0,Spain,Female,40.0,4.0,113794.22,1.0,1.0,0.0,16618.76,0.0 +701.0,France,Male,51.0,9.0,0.0,2.0,0.0,0.0,61961.57, +639.0,France,Female,42.0,4.0,0.0,2.0,0.0,0.0,167682.37, +815.0,Spain,Female,38.0,2.0,48387.0,1.0,1.0,0.0,184796.84, +678.0,Germany,Male,32.0,4.0,139626.01,1.0,1.0,1.0,118235.52,0.0 +681.0,France,Male,38.0,3.0,0.0,2.0,1.0,1.0,112491.96,0.0 +641.0,France,Female,48.0,3.0,147341.43,1.0,1.0,1.0,157458.61, +640.0,Germany,Male,23.0,3.0,72012.76,1.0,1.0,0.0,161333.13,0.0 +630.0,Germany,Female,31.0,2.0,112373.49,2.0,1.0,1.0,131167.98,0.0 +642.0,France,Male,40.0,1.0,154863.15,1.0,1.0,1.0,138052.51,0.0 +607.0,France,Female,48.0,4.0,112070.86,3.0,1.0,0.0,173568.3, +590.0,Spain,Female,29.0,2.0,166930.76,2.0,1.0,0.0,122487.73,0.0 +780.0,Germany,Female,37.0,10.0,95196.26,1.0,1.0,0.0,126310.39,0.0 +717.0,France,Female,36.0,5.0,0.0,2.0,1.0,1.0,145551.6,1.0 +674.0,Germany,Male,43.0,8.0,85957.88,2.0,1.0,0.0,8757.39,1.0 +562.0,France,Male,38.0,5.0,0.0,1.0,1.0,0.0,115700.2,0.0 +741.0,Germany,Female,36.0,0.0,127675.39,2.0,1.0,0.0,74260.16,0.0 +588.0,France,Male,31.0,4.0,99607.37,2.0,0.0,1.0,35877.03, +707.0,France,Female,46.0,7.0,127476.73,2.0,1.0,1.0,146011.55, +772.0,France,Male,47.0,9.0,152347.01,1.0,0.0,1.0,17671.78,0.0 +776.0,France,Female,29.0,5.0,0.0,2.0,1.0,1.0,143301.49,0.0 +647.0,Germany,Female,41.0,1.0,85906.65,3.0,1.0,0.0,189159.97,0.0 +609.0,Spain,Male,32.0,4.0,99883.16,1.0,1.0,1.0,120594.85,0.0 +838.0,Spain,Female,67.0,4.0,103267.8,1.0,1.0,1.0,78310.04,0.0 +496.0,Germany,Female,59.0,7.0,91680.1,2.0,1.0,0.0,163141.18,1.0 +632.0,France,Male,71.0,3.0,83116.68,1.0,1.0,1.0,27597.76, +713.0,Spain,Male,38.0,6.0,116980.78,2.0,0.0,1.0,76038.38,0.0 +697.0,Spain,Female,40.0,7.0,130334.35,2.0,0.0,1.0,116951.1,0.0 +643.0,France,Female,46.0,6.0,0.0,2.0,0.0,0.0,106781.59,0.0 +635.0,France,Male,27.0,3.0,127009.83,1.0,1.0,0.0,161909.95, +743.0,France,Female,40.0,6.0,0.0,1.0,1.0,0.0,28280.8,0.0 +719.0,Spain,Female,47.0,9.0,116393.59,1.0,1.0,0.0,63051.32,0.0 +738.0,Germany,Male,37.0,7.0,140950.92,2.0,1.0,0.0,195333.98,1.0 +706.0,Spain,Female,37.0,7.0,0.0,2.0,1.0,1.0,110899.3,0.0 +719.0,France,Female,37.0,9.0,101455.7,1.0,1.0,0.0,25803.59,0.0 +754.0,France,Female,27.0,7.0,0.0,2.0,1.0,0.0,144134.64,0.0 +436.0,Germany,Male,45.0,3.0,104339.11,2.0,1.0,1.0,183540.22,0.0 +593.0,Spain,Female,40.0,2.0,0.0,1.0,1.0,1.0,5194.95, +683.0,Spain,Male,29.0,0.0,133702.89,1.0,1.0,0.0,55582.54,0.0 +727.0,France,Male,35.0,5.0,136364.46,1.0,0.0,0.0,142754.71,0.0 +652.0,Spain,Female,33.0,3.0,124832.51,1.0,1.0,0.0,195877.06,1.0 +704.0,France,Male,36.0,7.0,120026.98,2.0,0.0,1.0,100601.73,1.0 +787.0,France,Female,40.0,6.0,0.0,2.0,1.0,1.0,84151.98,1.0 +607.0,Germany,Female,24.0,2.0,109483.54,2.0,0.0,1.0,127560.77,0.0 +433.0,Spain,Male,34.0,9.0,152806.74,1.0,1.0,0.0,19687.99, +637.0,France,Male,33.0,2.0,145731.83,1.0,0.0,1.0,109219.43,0.0 +752.0,France,Male,38.0,0.0,145974.79,2.0,1.0,1.0,137694.23,1.0 +617.0,Spain,Female,37.0,9.0,101707.8,1.0,1.0,0.0,123866.28, +610.0,Spain,Male,46.0,5.0,91897.8,1.0,1.0,0.0,54394.28,0.0 +723.0,France,Male,21.0,4.0,0.0,2.0,0.0,0.0,24847.02,0.0 +798.0,France,Male,36.0,1.0,0.0,2.0,1.0,1.0,159044.1,1.0 +544.0,Germany,Male,44.0,2.0,108895.93,1.0,0.0,0.0,69228.2,0.0 +468.0,France,Male,22.0,2.0,0.0,2.0,1.0,0.0,28123.99,0.0 +758.0,Germany,Male,32.0,4.0,162657.64,2.0,1.0,1.0,115525.13, +701.0,France,Male,23.0,3.0,0.0,2.0,1.0,0.0,38960.59,0.0 +735.0,Spain,Male,55.0,2.0,103176.62,1.0,0.0,1.0,163516.16,0.0 +685.0,Spain,Male,35.0,4.0,137948.51,1.0,1.0,0.0,113639.64,0.0 +632.0,Spain,Male,38.0,1.0,120599.21,1.0,1.0,0.0,92816.86,1.0 +741.0,Spain,Male,53.0,3.0,0.0,2.0,1.0,1.0,38913.68,0.0 +658.0,France,Female,44.0,6.0,148481.09,1.0,1.0,0.0,130529.13,0.0 +579.0,France,Male,31.0,9.0,0.0,1.0,0.0,1.0,139048.0,0.0 +663.0,Germany,Female,37.0,8.0,155303.71,1.0,1.0,0.0,118716.63,0.0 +576.0,France,Male,24.0,3.0,0.0,1.0,0.0,1.0,78498.04,0.0 +652.0,Spain,Female,36.0,1.0,0.0,2.0,1.0,1.0,19302.78,0.0 +555.0,France,Male,37.0,9.0,124969.13,1.0,1.0,0.0,60194.05,0.0 +677.0,Germany,Male,28.0,0.0,143988.0,2.0,1.0,0.0,8755.69,0.0 +651.0,France,Female,25.0,8.0,0.0,2.0,1.0,1.0,126761.2,0.0 +745.0,France,Female,55.0,9.0,110123.59,1.0,0.0,1.0,51548.14,0.0 +689.0,Spain,Male,38.0,5.0,75075.14,1.0,1.0,1.0,8651.92,0.0 +667.0,France,Male,48.0,2.0,0.0,1.0,1.0,0.0,43229.2,0.0 +556.0,France,Male,38.0,2.0,114756.14,1.0,1.0,0.0,193214.05, +741.0,France,Male,39.0,5.0,0.0,1.0,0.0,1.0,40207.06, +669.0,Germany,Female,42.0,1.0,103873.39,1.0,1.0,0.0,148611.52, +631.0,Spain,Male,33.0,2.0,0.0,2.0,1.0,1.0,158268.84,1.0 +728.0,France,Male,38.0,1.0,115934.74,1.0,1.0,1.0,139059.05,0.0 +580.0,Germany,Male,39.0,3.0,119688.81,1.0,1.0,0.0,137041.26,0.0 +682.0,Spain,Female,64.0,9.0,0.0,2.0,1.0,1.0,103318.44,0.0 +815.0,France,Male,45.0,7.0,0.0,1.0,0.0,1.0,52885.23,0.0 +718.0,France,Male,37.0,8.0,0.0,2.0,1.0,1.0,142.81,1.0 +619.0,France,Female,30.0,7.0,70729.17,1.0,1.0,1.0,160948.87,0.0 +624.0,Germany,Female,52.0,0.0,133723.43,1.0,0.0,0.0,4859.59, +664.0,Spain,Male,32.0,5.0,133705.74,1.0,0.0,0.0,134455.84, +480.0,France,Male,40.0,6.0,148790.61,1.0,0.0,1.0,79329.7,0.0 +761.0,France,Male,31.0,7.0,0.0,3.0,1.0,1.0,166698.18,0.0 +561.0,France,Male,56.0,7.0,152759.0,2.0,1.0,0.0,133167.11,0.0 +548.0,Spain,Male,37.0,4.0,0.0,1.0,1.0,0.0,121763.68,1.0 +576.0,Spain,Male,19.0,6.0,0.0,2.0,0.0,0.0,72306.07,0.0 +708.0,Spain,Male,33.0,3.0,0.0,2.0,1.0,0.0,138613.21, +641.0,France,Male,50.0,6.0,153590.73,2.0,1.0,1.0,130910.78,1.0 +699.0,Spain,Male,43.0,2.0,136487.86,2.0,1.0,0.0,82815.93,0.0 +775.0,France,Female,27.0,4.0,152309.37,1.0,1.0,0.0,104112.0, +771.0,Germany,Female,36.0,5.0,77846.9,1.0,0.0,0.0,99805.99,0.0 +560.0,France,Female,30.0,0.0,108883.29,1.0,1.0,0.0,27914.95, +661.0,France,Female,31.0,7.0,144162.3,2.0,1.0,1.0,14490.79,1.0 +783.0,Germany,Female,58.0,3.0,127539.3,1.0,1.0,1.0,96590.39,0.0 +620.0,Spain,Male,44.0,8.0,0.0,2.0,1.0,1.0,15627.51,0.0 +695.0,Spain,Male,32.0,9.0,0.0,3.0,0.0,1.0,38533.79, +667.0,France,Male,31.0,3.0,99513.91,1.0,1.0,1.0,189657.26,0.0 +473.0,Spain,Male,48.0,8.0,0.0,2.0,1.0,0.0,71139.8,1.0 +592.0,France,Male,27.0,3.0,0.0,2.0,1.0,1.0,19645.65,0.0 +520.0,France,Male,33.0,4.0,156297.58,2.0,1.0,1.0,166102.61,0.0 +654.0,France,Female,37.0,5.0,0.0,1.0,0.0,1.0,71492.28,0.0 +707.0,Spain,Female,52.0,7.0,0.0,1.0,1.0,0.0,109688.82, +635.0,France,Female,40.0,10.0,123497.58,1.0,1.0,0.0,131953.23,1.0 +367.0,Spain,Male,42.0,6.0,93608.28,1.0,1.0,0.0,168816.73, +664.0,France,Male,43.0,9.0,189026.53,2.0,1.0,1.0,56099.86,0.0 +574.0,France,Female,34.0,7.0,152992.91,1.0,1.0,1.0,134691.2,1.0 +627.0,France,Male,44.0,6.0,153548.12,1.0,0.0,0.0,35300.08,1.0 +568.0,Spain,Female,32.0,7.0,169399.6,1.0,1.0,0.0,61936.22,0.0 +673.0,Germany,Female,69.0,3.0,78833.15,2.0,1.0,1.0,37196.15,0.0 +657.0,Germany,Male,25.0,2.0,171770.55,1.0,1.0,0.0,22745.5,0.0 +692.0,France,Male,66.0,4.0,159732.02,1.0,1.0,1.0,118188.15,0.0 +704.0,Germany,Female,54.0,6.0,133656.91,3.0,1.0,0.0,145071.33,0.0 +608.0,Spain,Male,45.0,4.0,0.0,2.0,0.0,0.0,36697.48, +620.0,France,Female,33.0,9.0,127638.35,1.0,1.0,1.0,192717.57,1.0 +675.0,France,Female,39.0,6.0,0.0,2.0,0.0,0.0,83419.15, +631.0,Spain,Male,38.0,7.0,0.0,2.0,1.0,0.0,181605.85,0.0 +652.0,Germany,Female,47.0,0.0,126597.89,2.0,1.0,1.0,38798.79,0.0 +696.0,Germany,Male,49.0,5.0,97036.22,2.0,1.0,0.0,152450.84,0.0 +749.0,Germany,Female,44.0,0.0,71497.79,2.0,0.0,0.0,151083.8,0.0 +673.0,Spain,Male,40.0,1.0,121629.22,1.0,1.0,1.0,3258.6, +628.0,France,Female,50.0,4.0,143054.56,1.0,0.0,1.0,109608.81,1.0 +803.0,Spain,Female,45.0,7.0,0.0,2.0,1.0,1.0,128378.04,0.0 +716.0,France,Female,29.0,10.0,87946.39,1.0,1.0,1.0,182531.74,0.0 +577.0,France,Female,35.0,4.0,108155.49,1.0,1.0,0.0,105407.79,0.0 +537.0,France,Female,41.0,0.0,0.0,2.0,0.0,1.0,175262.49,0.0 +634.0,Spain,Male,36.0,2.0,85996.19,1.0,1.0,0.0,15887.68,0.0 +619.0,Germany,Female,41.0,8.0,142015.76,2.0,1.0,0.0,114323.66,0.0 +735.0,France,Male,43.0,9.0,127806.91,1.0,1.0,1.0,73069.59,0.0 +554.0,Germany,Female,36.0,3.0,157780.93,2.0,1.0,0.0,6089.13,0.0 +678.0,Spain,Female,40.0,3.0,128398.38,1.0,1.0,0.0,168658.3,0.0 +792.0,France,Male,19.0,7.0,143390.51,1.0,1.0,0.0,33282.84,0.0 +701.0,France,Male,30.0,3.0,156660.72,2.0,1.0,0.0,45742.42,0.0 +526.0,Germany,Female,32.0,6.0,131938.92,2.0,1.0,1.0,1795.93,0.0 +699.0,Germany,Male,36.0,6.0,147137.74,1.0,1.0,1.0,33687.9,0.0 +761.0,France,Male,36.0,9.0,127637.92,1.0,1.0,1.0,81062.93,1.0 +632.0,Germany,Male,41.0,8.0,127205.32,4.0,1.0,0.0,93874.87,1.0 +839.0,France,Female,51.0,3.0,0.0,1.0,1.0,1.0,69101.23,0.0 +561.0,France,Female,49.0,8.0,0.0,2.0,1.0,1.0,12513.07, +550.0,France,Female,22.0,7.0,139096.85,1.0,1.0,0.0,129890.94,0.0 +715.0,France,Female,32.0,10.0,0.0,2.0,1.0,0.0,60907.49, +696.0,Germany,Male,32.0,4.0,84421.62,1.0,0.0,1.0,52314.71, +701.0,France,Male,39.0,2.0,0.0,2.0,1.0,1.0,82526.92,0.0 +561.0,France,Male,37.0,5.0,0.0,2.0,1.0,0.0,83093.25,0.0 +518.0,France,Male,59.0,5.0,138772.15,1.0,0.0,1.0,123872.0, +670.0,France,Female,35.0,3.0,103465.02,2.0,1.0,1.0,174627.06,1.0 +745.0,Spain,Female,31.0,3.0,124328.84,1.0,1.0,1.0,140451.52,0.0 +711.0,France,Male,58.0,9.0,91285.13,2.0,1.0,1.0,26767.85,1.0 +461.0,Germany,Female,74.0,1.0,186445.31,2.0,1.0,1.0,196767.83, +543.0,Germany,Male,41.0,6.0,143350.41,1.0,1.0,1.0,192070.16,0.0 +694.0,Germany,Male,33.0,4.0,124067.32,1.0,1.0,1.0,77906.87,0.0 +672.0,France,Female,45.0,9.0,0.0,1.0,1.0,1.0,92027.69,0.0 +637.0,France,Male,40.0,8.0,125470.81,1.0,1.0,1.0,174536.17,0.0 +509.0,Spain,Female,25.0,3.0,108738.71,2.0,1.0,0.0,106920.57,0.0 +670.0,France,Male,37.0,4.0,170557.91,2.0,1.0,0.0,198252.88,0.0 +564.0,France,Male,31.0,0.0,110527.17,1.0,1.0,1.0,87060.77, +751.0,France,Female,30.0,6.0,0.0,2.0,1.0,0.0,15766.1,0.0 +601.0,Spain,Female,42.0,4.0,96763.89,1.0,1.0,1.0,199242.65,1.0 +753.0,France,Male,33.0,5.0,122568.05,2.0,1.0,1.0,82820.85, +650.0,France,Female,31.0,1.0,160566.11,2.0,0.0,0.0,27073.81,1.0 +535.0,France,Female,44.0,2.0,114427.86,1.0,1.0,1.0,136330.26,0.0 +777.0,France,Female,32.0,2.0,0.0,1.0,1.0,0.0,136458.19,1.0 +597.0,Spain,Male,38.0,1.0,0.0,2.0,1.0,0.0,41303.29, +670.0,Germany,Female,36.0,2.0,84266.44,2.0,0.0,0.0,38614.69,0.0 +729.0,Spain,Female,42.0,1.0,0.0,2.0,1.0,1.0,149535.97,0.0 +672.0,France,Female,53.0,9.0,169406.33,4.0,1.0,1.0,147311.47,0.0 +592.0,Spain,Female,41.0,2.0,138734.94,1.0,1.0,0.0,90020.74,0.0 +599.0,France,Male,27.0,5.0,0.0,2.0,1.0,0.0,30546.4, +689.0,France,Male,39.0,7.0,0.0,2.0,0.0,0.0,14917.09,0.0 +661.0,France,Female,34.0,0.0,0.0,2.0,1.0,0.0,185555.63, +623.0,France,Male,40.0,5.0,118788.57,1.0,1.0,0.0,192867.4,1.0 +760.0,Spain,Female,57.0,1.0,0.0,2.0,1.0,1.0,25101.17,1.0 +814.0,France,Male,48.0,9.0,136596.85,1.0,1.0,1.0,185791.9,0.0 +591.0,France,Male,28.0,5.0,0.0,2.0,1.0,1.0,48606.92,1.0 +656.0,France,Male,36.0,8.0,97786.08,2.0,0.0,1.0,21478.36,0.0 +604.0,France,Male,53.0,8.0,144453.75,1.0,1.0,0.0,190998.96,1.0 +730.0,France,Female,37.0,1.0,0.0,2.0,1.0,1.0,124364.63,0.0 +758.0,France,Female,52.0,7.0,125095.94,1.0,1.0,0.0,171189.83,0.0 +744.0,Spain,Male,44.0,5.0,120654.68,1.0,1.0,0.0,82290.81,0.0 +610.0,France,Male,40.0,9.0,0.0,1.0,1.0,1.0,149602.54,0.0 +695.0,France,Male,45.0,3.0,0.0,2.0,1.0,1.0,30793.61,1.0 +634.0,Germany,Male,38.0,2.0,148430.55,1.0,1.0,1.0,56055.72,0.0 +724.0,France,Male,28.0,5.0,97612.12,1.0,1.0,1.0,96498.14,1.0 +850.0,France,Female,35.0,1.0,211774.31,1.0,1.0,0.0,188574.12,1.0 +756.0,France,Male,67.0,4.0,0.0,3.0,1.0,1.0,93081.87,0.0 +570.0,France,Male,30.0,2.0,131406.56,1.0,1.0,1.0,47952.45,0.0 +487.0,Spain,Female,40.0,6.0,136093.74,1.0,0.0,1.0,193408.43,0.0 +469.0,Spain,Female,31.0,6.0,0.0,1.0,1.0,0.0,146213.75,0.0 +686.0,Spain,Male,41.0,7.0,102749.72,1.0,0.0,1.0,194913.86,0.0 +638.0,France,Male,57.0,6.0,0.0,1.0,1.0,0.0,33676.48,0.0 +749.0,Germany,Female,40.0,8.0,141782.57,2.0,0.0,0.0,86333.63,0.0 +719.0,France,Female,54.0,7.0,0.0,2.0,1.0,1.0,125041.52,0.0 +737.0,France,Male,30.0,8.0,174356.13,1.0,0.0,0.0,31928.5, +632.0,France,Male,42.0,4.0,126115.6,1.0,1.0,0.0,100998.5, +709.0,France,Female,40.0,9.0,131569.63,1.0,1.0,1.0,103970.58,0.0 +501.0,Germany,Male,25.0,6.0,104013.79,1.0,1.0,0.0,114774.35,0.0 +653.0,France,Male,37.0,7.0,135847.47,1.0,1.0,0.0,144880.81,0.0 +605.0,Spain,Female,36.0,9.0,0.0,2.0,0.0,1.0,35521.63,1.0 +788.0,Germany,Female,57.0,8.0,93716.72,1.0,1.0,1.0,180150.49,0.0 +657.0,Spain,Male,34.0,5.0,154983.98,1.0,1.0,0.0,27738.01,0.0 +581.0,France,Male,28.0,3.0,104367.5,1.0,1.0,1.0,29937.75,0.0 +838.0,Spain,Male,35.0,0.0,0.0,2.0,0.0,1.0,197305.91,1.0 +756.0,Germany,Female,60.0,3.0,115924.89,1.0,1.0,0.0,93524.19,0.0 +600.0,France,Male,35.0,4.0,143744.77,2.0,1.0,0.0,104076.51,0.0 +735.0,Germany,Male,46.0,2.0,106344.95,1.0,1.0,0.0,114371.33,0.0 +623.0,Germany,Female,48.0,1.0,108076.33,1.0,1.0,0.0,118855.26,1.0 +504.0,Germany,Female,44.0,0.0,131873.07,2.0,1.0,1.0,158036.72, +850.0,Spain,Male,30.0,2.0,141040.01,1.0,1.0,1.0,5978.2,0.0 +766.0,France,Male,32.0,6.0,185714.28,1.0,1.0,1.0,102502.5,0.0 +749.0,Germany,Male,66.0,6.0,182532.23,2.0,1.0,1.0,195429.92,1.0 +567.0,Germany,Female,49.0,5.0,134956.02,1.0,1.0,0.0,93953.84,1.0 +485.0,France,Male,41.0,2.0,100254.76,2.0,1.0,1.0,12706.67, +713.0,France,Male,38.0,9.0,72286.84,2.0,1.0,1.0,26136.89,1.0 +523.0,Germany,Male,41.0,0.0,119276.31,1.0,0.0,0.0,122284.38,0.0 +679.0,Germany,Female,37.0,8.0,77373.87,2.0,0.0,1.0,174873.09,0.0 +758.0,France,Female,34.0,1.0,154139.45,1.0,1.0,1.0,60728.89,0.0 +654.0,France,Male,29.0,2.0,91955.61,1.0,1.0,0.0,37065.66,1.0 +814.0,France,Male,31.0,1.0,118870.92,1.0,1.0,0.0,101704.19,0.0 +687.0,France,Female,47.0,7.0,0.0,2.0,1.0,1.0,177624.01,1.0 +612.0,France,Female,63.0,2.0,126473.33,1.0,0.0,1.0,147545.65,0.0 +558.0,Germany,Female,36.0,0.0,126606.63,2.0,1.0,1.0,172363.52,0.0 +550.0,Spain,Male,62.0,7.0,80927.56,1.0,0.0,1.0,64490.67,0.0 +789.0,France,Female,53.0,1.0,158271.74,1.0,1.0,1.0,5036.39,1.0 +705.0,Spain,Female,24.0,5.0,177799.83,2.0,0.0,0.0,79886.06,0.0 +570.0,France,Female,46.0,3.0,0.0,2.0,0.0,0.0,820.46,0.0 +811.0,France,Male,40.0,1.0,101514.89,1.0,1.0,1.0,121765.0,0.0 +655.0,Spain,Male,37.0,8.0,163708.58,2.0,0.0,0.0,76259.23,1.0 +721.0,France,Male,35.0,10.0,0.0,2.0,1.0,0.0,71594.26,0.0 +497.0,Germany,Male,41.0,5.0,80542.81,1.0,0.0,0.0,88729.22,0.0 +850.0,Spain,Male,37.0,4.0,88141.1,1.0,1.0,0.0,109659.12, +604.0,France,Male,31.0,6.0,134837.58,1.0,1.0,0.0,192029.19,1.0 +512.0,Germany,Female,40.0,8.0,153537.57,2.0,0.0,0.0,23101.13, +679.0,Germany,Male,52.0,9.0,135870.01,2.0,0.0,0.0,54038.62,1.0 +702.0,Spain,Male,32.0,8.0,71667.74,1.0,1.0,1.0,126082.18,0.0 +526.0,Germany,Male,61.0,6.0,133845.28,2.0,1.0,1.0,45180.8,0.0 +655.0,France,Female,36.0,2.0,147149.59,1.0,1.0,1.0,87816.86,0.0 +650.0,Spain,Male,32.0,1.0,132187.73,2.0,1.0,1.0,178331.36,0.0 +742.0,Germany,Female,41.0,4.0,92805.72,1.0,0.0,1.0,73743.95,0.0 +695.0,France,Female,42.0,7.0,121453.63,1.0,0.0,0.0,46374.64,0.0 +617.0,France,Female,24.0,4.0,137295.19,2.0,1.0,1.0,91195.12,1.0 +730.0,France,Female,22.0,9.0,65763.57,1.0,1.0,1.0,145792.01,0.0 +655.0,France,Male,27.0,2.0,131691.33,1.0,1.0,0.0,49480.66,0.0 +656.0,France,Male,18.0,10.0,151762.74,1.0,0.0,1.0,127014.32,0.0 +565.0,France,Male,49.0,7.0,0.0,2.0,1.0,1.0,89609.26,0.0 +503.0,France,Male,32.0,4.0,0.0,2.0,1.0,1.0,153036.97,1.0 +641.0,France,Male,31.0,9.0,112494.99,1.0,1.0,1.0,32231.6, +658.0,France,Female,31.0,7.0,123974.96,1.0,1.0,0.0,102153.75,0.0 +717.0,France,Male,50.0,9.0,90305.76,1.0,1.0,1.0,124626.57,0.0 +822.0,Germany,Female,46.0,3.0,115074.02,2.0,1.0,0.0,26249.86,1.0 +606.0,Germany,Female,27.0,6.0,172310.33,1.0,0.0,1.0,111448.92,0.0 +584.0,Germany,Female,54.0,1.0,77354.37,1.0,0.0,0.0,138192.98,1.0 +693.0,France,Male,40.0,4.0,130661.96,1.0,1.0,1.0,101918.96, +508.0,Spain,Male,54.0,10.0,0.0,1.0,1.0,1.0,175749.36,0.0 +633.0,Germany,Female,29.0,0.0,138577.34,1.0,1.0,0.0,193362.99,0.0 +488.0,France,Female,34.0,2.0,0.0,2.0,1.0,1.0,181270.84, +667.0,France,Male,36.0,8.0,139753.35,1.0,1.0,0.0,79871.16, +531.0,France,Male,37.0,7.0,121854.45,1.0,1.0,0.0,147521.35, +488.0,France,Male,43.0,10.0,112751.13,1.0,1.0,1.0,28332.0,0.0 +782.0,France,Female,70.0,7.0,97072.42,1.0,0.0,1.0,131177.22,0.0 +664.0,Spain,Male,35.0,1.0,115024.5,1.0,0.0,1.0,169665.79,0.0 +597.0,Germany,Female,39.0,8.0,162532.14,3.0,1.0,0.0,36051.46,0.0 +509.0,Spain,Male,38.0,2.0,0.0,1.0,0.0,0.0,168460.12,0.0 +658.0,Germany,Female,28.0,9.0,152812.58,1.0,1.0,0.0,166682.57,0.0 +850.0,France,Female,38.0,1.0,106871.81,2.0,1.0,0.0,29333.01,1.0 +709.0,France,Female,32.0,2.0,0.0,2.0,0.0,0.0,109681.29, +684.0,Germany,Male,18.0,9.0,90544.0,1.0,0.0,1.0,4777.23,0.0 +630.0,France,Female,36.0,2.0,110414.48,1.0,1.0,1.0,48984.95,0.0 +614.0,France,Male,36.0,1.0,118311.76,1.0,1.0,0.0,146134.68,0.0 +803.0,France,Female,26.0,4.0,0.0,2.0,1.0,1.0,181208.47,1.0 +806.0,France,Male,34.0,5.0,113958.55,1.0,0.0,1.0,32125.98,0.0 +613.0,France,Male,40.0,4.0,0.0,1.0,0.0,0.0,151325.24, +617.0,Spain,Male,42.0,0.0,70105.87,1.0,1.0,1.0,120830.73,0.0 +678.0,France,Female,49.0,3.0,204510.94,1.0,0.0,1.0,738.88, +613.0,Spain,Male,35.0,4.0,123557.65,2.0,0.0,1.0,170903.4,0.0 +641.0,Germany,Male,42.0,3.0,121765.37,2.0,1.0,1.0,166516.84,1.0 +458.0,Spain,Male,36.0,5.0,0.0,2.0,1.0,0.0,79723.78,1.0 +627.0,Spain,Male,44.0,6.0,0.0,1.0,1.0,1.0,114469.55,0.0 +721.0,Spain,Female,46.0,7.0,137933.39,1.0,1.0,1.0,67976.57,0.0 +698.0,France,Female,57.0,9.0,111359.55,2.0,1.0,0.0,105715.01, +657.0,Spain,Female,27.0,8.0,0.0,2.0,0.0,0.0,6468.24,1.0 +512.0,Spain,Female,46.0,3.0,0.0,2.0,1.0,1.0,56408.14,0.0 +686.0,France,Female,47.0,5.0,113328.93,1.0,1.0,0.0,124170.9,0.0 +655.0,Germany,Female,36.0,10.0,122314.39,1.0,1.0,0.0,9181.66,0.0 +747.0,Germany,Male,36.0,8.0,102603.3,2.0,1.0,1.0,180693.61, 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file:///c:/Users/PC/Desktop/sprint5/Churn-Prediction-avec-MLflow/mlruns/667014208243130233/models/m-4cd66135667c4e2cb0101afb74becdba/artifacts +flavors: + python_function: + env: + conda: conda.yaml + virtualenv: python_env.yaml + loader_module: mlflow.sklearn + model_path: model.pkl + predict_fn: predict + python_version: 3.12.2 + sklearn: + code: null + pickled_model: model.pkl + serialization_format: cloudpickle + sklearn_version: 1.7.2 +mlflow_version: 3.5.1 +model_id: m-4cd66135667c4e2cb0101afb74becdba +model_size_bytes: 477 +model_uuid: m-4cd66135667c4e2cb0101afb74becdba +prompts: null +run_id: 9ef1f5bd1b494066bbf7d0c26b56384f +utc_time_created: '2025-10-31 09:33:08.356111' diff --git a/mlruns/667014208243130233/models/m-4cd66135667c4e2cb0101afb74becdba/artifacts/conda.yaml b/mlruns/667014208243130233/models/m-4cd66135667c4e2cb0101afb74becdba/artifacts/conda.yaml new file mode 100644 index 00000000..b7b954db --- /dev/null +++ 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+psutil==7.1.1 +pyarrow==21.0.0 +scikit-learn==1.7.2 +scipy==1.16.2 \ No newline at end of file diff --git a/mlruns/667014208243130233/models/m-4cd66135667c4e2cb0101afb74becdba/meta.yaml b/mlruns/667014208243130233/models/m-4cd66135667c4e2cb0101afb74becdba/meta.yaml new file mode 100644 index 00000000..2470dfc5 --- /dev/null +++ b/mlruns/667014208243130233/models/m-4cd66135667c4e2cb0101afb74becdba/meta.yaml @@ -0,0 +1,10 @@ +artifact_location: file:///c:/Users/PC/Desktop/sprint5/Churn-Prediction-avec-MLflow/mlruns/667014208243130233/models/m-4cd66135667c4e2cb0101afb74becdba/artifacts +creation_timestamp: 1761903188309 +experiment_id: '667014208243130233' +last_updated_timestamp: 1761903195660 +model_id: m-4cd66135667c4e2cb0101afb74becdba +model_type: null +name: model +source_run_id: 9ef1f5bd1b494066bbf7d0c26b56384f +status: 2 +status_message: null diff --git a/mlruns/667014208243130233/models/m-4cd66135667c4e2cb0101afb74becdba/metrics/accuracy b/mlruns/667014208243130233/models/m-4cd66135667c4e2cb0101afb74becdba/metrics/accuracy new file mode 100644 index 00000000..8702bcd0 --- /dev/null +++ b/mlruns/667014208243130233/models/m-4cd66135667c4e2cb0101afb74becdba/metrics/accuracy @@ -0,0 +1 @@ +1761903188256 0.5 0 9ef1f5bd1b494066bbf7d0c26b56384f diff --git a/mlruns/667014208243130233/models/m-4cd66135667c4e2cb0101afb74becdba/metrics/f1 b/mlruns/667014208243130233/models/m-4cd66135667c4e2cb0101afb74becdba/metrics/f1 new file mode 100644 index 00000000..7e94eb45 --- /dev/null +++ b/mlruns/667014208243130233/models/m-4cd66135667c4e2cb0101afb74becdba/metrics/f1 @@ -0,0 +1 @@ +1761903188251 0.5 0 9ef1f5bd1b494066bbf7d0c26b56384f diff --git a/mlruns/667014208243130233/models/m-4cd66135667c4e2cb0101afb74becdba/params/note b/mlruns/667014208243130233/models/m-4cd66135667c4e2cb0101afb74becdba/params/note new file mode 100644 index 00000000..9033fedf --- /dev/null +++ b/mlruns/667014208243130233/models/m-4cd66135667c4e2cb0101afb74becdba/params/note @@ -0,0 +1 @@ +demo run created by notebook \ No newline at end of file diff --git a/mlruns/667014208243130233/models/m-4cd66135667c4e2cb0101afb74becdba/tags/mlflow.source.git.commit b/mlruns/667014208243130233/models/m-4cd66135667c4e2cb0101afb74becdba/tags/mlflow.source.git.commit new file mode 100644 index 00000000..5f0376cd --- /dev/null +++ b/mlruns/667014208243130233/models/m-4cd66135667c4e2cb0101afb74becdba/tags/mlflow.source.git.commit @@ -0,0 +1 @@ +7d7b02a1d9989bc64551a48a0fdd7dd157da51d2 \ No newline at end of file diff --git a/mlruns/667014208243130233/models/m-4cd66135667c4e2cb0101afb74becdba/tags/mlflow.source.name b/mlruns/667014208243130233/models/m-4cd66135667c4e2cb0101afb74becdba/tags/mlflow.source.name new file mode 100644 index 00000000..edcd874b --- /dev/null +++ b/mlruns/667014208243130233/models/m-4cd66135667c4e2cb0101afb74becdba/tags/mlflow.source.name @@ -0,0 +1 @@ +c:\Users\PC\Desktop\sprint5\Churn-Prediction-avec-MLflow\venv\Lib\site-packages\ipykernel_launcher.py \ No newline at end of file diff --git a/mlruns/667014208243130233/models/m-4cd66135667c4e2cb0101afb74becdba/tags/mlflow.source.type b/mlruns/667014208243130233/models/m-4cd66135667c4e2cb0101afb74becdba/tags/mlflow.source.type new file mode 100644 index 00000000..0c2c1fe9 --- /dev/null +++ b/mlruns/667014208243130233/models/m-4cd66135667c4e2cb0101afb74becdba/tags/mlflow.source.type @@ -0,0 +1 @@ +LOCAL \ No newline at end of file diff --git a/mlruns/667014208243130233/models/m-4cd66135667c4e2cb0101afb74becdba/tags/mlflow.user b/mlruns/667014208243130233/models/m-4cd66135667c4e2cb0101afb74becdba/tags/mlflow.user new file mode 100644 index 00000000..d3a00fb1 --- /dev/null +++ b/mlruns/667014208243130233/models/m-4cd66135667c4e2cb0101afb74becdba/tags/mlflow.user @@ -0,0 +1 @@ +PC \ No newline at end of file diff --git a/notebooks/3_training_mlflow.ipynb b/notebooks/3_training_mlflow.ipynb index 4db2984f..1c8918d3 100644 --- a/notebooks/3_training_mlflow.ipynb +++ b/notebooks/3_training_mlflow.ipynb @@ -347,7 +347,7 @@ }, { "cell_type": "code", - "execution_count": 108, + "execution_count": 171, "id": "661c451b", "metadata": {}, "outputs": [ @@ -359,13 +359,29 @@ "name": "index", "rawType": "int64", "type": "integer" + }, + { + "name": "metrics.accuracy", + "rawType": "float64", + "type": "float" + }, + { + "name": "metrics.f1", + "rawType": "float64", + "type": "float" } ], - "ref": "ed29b0ae-02af-44b5-8e8b-3a1d02787b41", - "rows": [], + "ref": "723820ad-eff1-43d0-8403-e4115ac8b38a", + "rows": [ + [ + "0", + "0.5", + "0.5" + ] + ], "shape": { - "columns": 0, - "rows": 0 + "columns": 2, + "rows": 1 } }, "text/html": [ @@ -387,20 +403,26 @@ " \n", " \n", " \n", + " metrics.accuracy\n", + " metrics.f1\n", " \n", " \n", " \n", + " \n", + " 0\n", + " 0.5\n", + " 0.5\n", + " \n", " \n", "\n", "" ], "text/plain": [ - "Empty DataFrame\n", - "Columns: []\n", - "Index: []" + " metrics.accuracy metrics.f1\n", + "0 0.5 0.5" ] }, - "execution_count": 108, + "execution_count": 171, "metadata": {}, "output_type": "execute_result" } @@ -411,22 +433,22 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 172, "id": "eaa49d1c", "metadata": {}, "outputs": [ { - "ename": "KeyError", - "evalue": "'metrics.f1'", - "output_type": "error", - "traceback": [ - "\u001b[31m---------------------------------------------------------------------------\u001b[39m", - "\u001b[31mKeyError\u001b[39m Traceback (most recent call last)", - "\u001b[32m~\\AppData\\Local\\Temp\\ipykernel_15856\\758707258.py\u001b[39m in \u001b[36m?\u001b[39m\u001b[34m()\u001b[39m\n\u001b[32m----> \u001b[39m\u001b[32m1\u001b[39m best_run = runs.sort_values(\u001b[33m\"metrics.f1\"\u001b[39m, ascending=\u001b[38;5;28;01mFalse\u001b[39;00m).iloc[\u001b[32m0\u001b[39m]\n\u001b[32m 2\u001b[39m md(f\"**Meilleur modèle :** {best_run[\u001b[33m'tags.model_name'\u001b[39m]} (F1 = {best_run[\u001b[33m'metrics.f1'\u001b[39m]:.3f})\")\n", - "\u001b[32mc:\\Users\\PC\\Desktop\\sprint5\\Churn-Prediction-avec-MLflow\\venv\\Lib\\site-packages\\pandas\\core\\frame.py\u001b[39m in \u001b[36m?\u001b[39m\u001b[34m(self, by, axis, ascending, inplace, kind, na_position, ignore_index, key)\u001b[39m\n\u001b[32m 7207\u001b[39m )\n\u001b[32m 7208\u001b[39m \u001b[38;5;28;01melif\u001b[39;00m len(by):\n\u001b[32m 7209\u001b[39m \u001b[38;5;66;03m# len(by) == 1\u001b[39;00m\n\u001b[32m 7210\u001b[39m \n\u001b[32m-> \u001b[39m\u001b[32m7211\u001b[39m k = self._get_label_or_level_values(by[\u001b[32m0\u001b[39m], axis=axis)\n\u001b[32m 7212\u001b[39m \n\u001b[32m 7213\u001b[39m \u001b[38;5;66;03m# need to rewrap column in Series to apply key function\u001b[39;00m\n\u001b[32m 7214\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m key \u001b[38;5;28;01mis\u001b[39;00m \u001b[38;5;28;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n", - "\u001b[32mc:\\Users\\PC\\Desktop\\sprint5\\Churn-Prediction-avec-MLflow\\venv\\Lib\\site-packages\\pandas\\core\\generic.py\u001b[39m in \u001b[36m?\u001b[39m\u001b[34m(self, key, axis)\u001b[39m\n\u001b[32m 1910\u001b[39m values = self.xs(key, axis=other_axes[\u001b[32m0\u001b[39m])._values\n\u001b[32m 1911\u001b[39m \u001b[38;5;28;01melif\u001b[39;00m self._is_level_reference(key, axis=axis):\n\u001b[32m 1912\u001b[39m values = self.axes[axis].get_level_values(key)._values\n\u001b[32m 1913\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m-> \u001b[39m\u001b[32m1914\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m KeyError(key)\n\u001b[32m 1915\u001b[39m \n\u001b[32m 1916\u001b[39m \u001b[38;5;66;03m# Check for duplicates\u001b[39;00m\n\u001b[32m 1917\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m values.ndim > \u001b[32m1\u001b[39m:\n", - "\u001b[31mKeyError\u001b[39m: 'metrics.f1'" - ] + "data": { + "text/markdown": [ + "**Meilleur modèle :** DummyModel (F1 = 0.500)" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 172, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ @@ -444,22 +466,10 @@ }, { "cell_type": "code", - "execution_count": 66, + "execution_count": 173, "id": "3f546c09", "metadata": {}, - "outputs": [ - { - "ename": "NameError", - "evalue": "name 'best_run' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[31m---------------------------------------------------------------------------\u001b[39m", - "\u001b[31mNameError\u001b[39m Traceback (most recent call last)", - "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[66]\u001b[39m\u001b[32m, line 2\u001b[39m\n\u001b[32m 1\u001b[39m \u001b[38;5;66;03m# Chargement et test du modèle\u001b[39;00m\n\u001b[32m----> \u001b[39m\u001b[32m2\u001b[39m model_uri = \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mruns:/\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[43mbest_run\u001b[49m[\u001b[33m'\u001b[39m\u001b[33mrun_id\u001b[39m\u001b[33m'\u001b[39m]\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m/model\u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m 3\u001b[39m loaded_model = mlflow.sklearn.load_model(model_uri)\n", - "\u001b[31mNameError\u001b[39m: name 'best_run' is not defined" - ] - } - ], + "outputs": [], "source": [ "# Chargement et test du modèle\n", "model_uri = f\"runs:/{best_run['run_id']}/model\"\n", @@ -468,7 +478,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 174, "id": "638439a2", "metadata": {}, "outputs": [], @@ -491,13 +501,30 @@ "execution_count": null, "id": "a5fa9d0a", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "✅ Prédiction exemple :\n", + "[0 0 0 0 0]\n" + ] + } + ], "source": [ "# Exemple d’un batch de test\n", "X_test = joblib.load(\"data/X_test.pkl\")\n", "print(\"✅ Prédiction exemple :\")\n", "print(loaded_model.predict(X_test[:5]))" ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0983ddc2", + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { diff --git a/notebooks/mlruns/0/meta.yaml b/notebooks/mlruns/0/meta.yaml new file mode 100644 index 00000000..7f428835 --- /dev/null +++ b/notebooks/mlruns/0/meta.yaml @@ -0,0 +1,6 @@ +artifact_location: file:///c:/Users/PC/Desktop/sprint5/Churn-Prediction-avec-MLflow/notebooks/mlruns/0 +creation_time: 1761902129601 +experiment_id: '0' +last_update_time: 1761902129601 +lifecycle_stage: active +name: Default diff --git a/notebooks/mlruns/444479824665946921/meta.yaml b/notebooks/mlruns/444479824665946921/meta.yaml new file mode 100644 index 00000000..576d6ffc --- /dev/null +++ b/notebooks/mlruns/444479824665946921/meta.yaml @@ -0,0 +1,6 @@ +artifact_location: 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