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‎.gitignore‎

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*venv*
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*.ipynb_checkpoints*
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.vscode
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.vscode
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node_modules
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test-results

hardware_store/README.md renamed to beta-case-studies/hardware_store/README.md

File renamed without changes.

hardware_store/generate_data.py renamed to beta-case-studies/hardware_store/generate_data.py

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import random
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from faker import Faker
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import faker_commerce
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from datetime import datetime
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fake = Faker()
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fake.add_provider(faker_commerce.Provider)

‎beta-case-studies/hardware_store/generated_data.sql‎

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SET search_path="Hardware Store";
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COPY "Store Locations" FROM stdin;
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1 Martinez Ltd 351 Walker Field North Chris, MS 43962
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2 Morales, Warren and Powers 59649 Owens Burg Suite 809 East Debrafort, VA 35598
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3 Smith, Williams and King 121 Jason Route New Amberberg, MD 81135
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4 Mcgrath PLC 4684 Villarreal Dam Courtneyland, AS 80841
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5 Carson, Huang and Glass 4667 Parker Union Suite 197 Lake Karaborough, WY 98063
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\.
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11+
COPY "Customers" FROM stdin;
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1 Nathan Sandoval jeffreyguzman@example.com +1-834-253-2718x78673 PSC 9403, Box 0923 APO AA 51937
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2 Michelle Frederick rjames@example.com 940.581.3771x23049 0230 Mooney Run Suite 648 South Bridgetmouth, NM 38619
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3 Jason Wolf michealjones@example.org 264-853-2532x055 382 Heather Port Apt. 154 Edwardfort, ND 23251
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4 Matthew Santos david90@example.org (280)309-1124x69857 2984 Lambert Squares Suite 920 New Nicolemouth, FL 04497
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5 Joshua Wells petersjeffery@example.com 001-241-478-4184x30901 601 Melissa Way Port Brittanyfort, FL 55961
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6 Joan Hawkins peter23@example.com 4672048658 63424 Tyrone Cliff North Joshua, CO 08437
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7 Timothy Salazar anthony47@example.com (817)799-3712x4077 PSC 2346, Box 6451 APO AP 92230
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8 John Humphrey timothy30@example.net +1-658-617-5570x59293 29798 Andrew Centers Apt. 513 Lake John, MA 02980
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9 Dominique Meyer christina88@example.org 923.740.8343x728 USCGC Jackson FPO AP 24258
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10 Monica Gonzales josephtran@example.org 660-962-4435x0989 1368 Garza Wall Suite 337 East Scottfurt, IL 17866
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11 Michelle King ericramirez@example.net 669-220-5302 78586 Michelle Circle Apt. 098 New Melissachester, ID 18010
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12 James Williams adamsjohn@example.net +1-359-675-3266x4713 785 Peter River West Dwayneville, MA 24439
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13 Anthony Robinson jacksonpatrick@example.net 001-539-995-5047x36208 3064 Burns Fields Suite 900 Martintown, IA 49678
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14 Joseph Wise matabrent@example.com +1-219-313-7158x1139 9727 Dunlap Ridge North Jamesview, PA 57903
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15 Sharon Stokes craig97@example.org 339-982-9323x2512 414 Norman Cliff East Cynthia, MI 40779
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16 Sheila Moore johnsonmonica@example.org 399-206-9167x322 0062 Ashley Walk Suite 579 Dianeville, IN 89682
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17 David Gutierrez jeffrey91@example.net 543-294-5385x5325 971 Adam Village Thomaschester, IN 44216
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18 Michael Rodriguez brett57@example.com +1-898-870-7477x5103 0392 Hernandez Creek East Alexisborough, AZ 04523
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19 Matthew Hartman dicksonrichard@example.com +1-266-516-4327x3695 1855 Wiggins Drives Apt. 937 South Josemouth, MP 46006
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20 Jason Dickson flowerscrystal@example.com +1-662-269-3194x8923 328 Carr Groves Suite 783 West Joannehaven, MD 89851
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\.
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COPY "Assets" FROM stdin;
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1 Gloves 6346253295973 47.7 \N weekly Aisle 8 - Shelf 5 3
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2 Practical Rubber Ball 0360005600613 50.84 \N weekly Aisle 7 - Shelf 3 5
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3 Mouse 8049248877557 60.57 \N daily Aisle 3 - Shelf 4 3
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4 Bike 7591778415989 20.11 \N weekly Aisle 12 - Shelf 7 3
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5 For repair Metal Bike 7365708441177 43.87 24.55 monthly Aisle 6 - Shelf 1 3
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6 Sleek Pants 4101833392143 30.47 \N weekly Aisle 1 - Shelf 6 1
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7 Refined Bike 3154904290740 32.57 \N daily Aisle 7 - Shelf 9 3
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8 Salad 9198069318462 42.29 \N monthly Aisle 12 - Shelf 8 2
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9 Fresh Bacon 5366484678834 28.14 \N monthly Aisle 17 - Shelf 10 5
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10 Metal Bike 2088599455157 40.94 \N weekly Aisle 7 - Shelf 10 5
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11 Tuna 9491110752124 96.82 \N daily Aisle 1 - Shelf 8 2
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12 Frozen Soap 0611585483210 20.23 10.63 monthly Aisle 17 - Shelf 6 3
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13 New Metal Computer 4830015470538 95.29 \N weekly Aisle 19 - Shelf 1 2
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14 Fantastic Fresh Car 8364376527229 97.97 \N daily Aisle 8 - Shelf 4 3
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15 Incredible Fish 2973304695891 69.37 46.09 daily Aisle 11 - Shelf 6 1
50+
16 Table 2051582634631 28.69 17.97 monthly Aisle 13 - Shelf 9 5
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17 Used Soft Shoes 5384203806542 93.75 \N monthly Aisle 19 - Shelf 4 1
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18 Ergonomic Bacon 3630539075919 47.22 28.35 daily Aisle 7 - Shelf 5 3
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19 Practical Rubber Shirt 4795855052521 77.77 \N daily Aisle 18 - Shelf 6 3
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20 Refined Wooden Towels 8649933817792 49.53 36.13 daily Aisle 15 - Shelf 2 3
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21 Handcrafted Cotton Cheese 1209585075994 90.74 61.55 monthly Aisle 17 - Shelf 3 4
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22 Car 8352981239767 49.83 \N daily Aisle 11 - Shelf 7 4
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23 Wooden Ball 2266622928254 65.49 33.13 monthly Aisle 10 - Shelf 7 2
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24 Bacon 4934936243308 12.76 \N monthly Aisle 12 - Shelf 7 4
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25 Steel Bacon 9965885729112 53.58 \N weekly Aisle 10 - Shelf 4 5
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26 New Towels 4432468396818 28.4 \N daily Aisle 4 - Shelf 3 2
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27 Rustic Plastic Shirt 3081422770006 43.44 \N monthly Aisle 1 - Shelf 7 1
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28 Intelligent Cheese 1517839480143 85.58 60.29 weekly Aisle 7 - Shelf 10 4
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29 Shoes 3496762612396 88.3 \N monthly Aisle 11 - Shelf 2 4
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30 Gorgeous Steel Chicken 4303432484544 46.06 \N weekly Aisle 11 - Shelf 8 1
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31 Steel Chair 5732168175478 89.69 \N weekly Aisle 6 - Shelf 3 3
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32 Tasty Granite Cheese 5567616046846 11.65 \N daily Aisle 9 - Shelf 6 5
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33 Sausages 0387889381087 71.59 \N daily Aisle 3 - Shelf 5 1
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34 Ergonomic Rubber Bike 9191608956538 22.38 \N daily Aisle 6 - Shelf 8 5
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35 Concrete Shoes 0444645343373 38.18 25.48 daily Aisle 20 - Shelf 9 4
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36 Gorgeous Rubber Pants 4524470397003 82.83 \N daily Aisle 10 - Shelf 2 2
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37 Metal Soap 2366615469778 54.33 33.77 daily Aisle 3 - Shelf 1 4
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38 Shoes 2591296431145 41.33 \N monthly Aisle 6 - Shelf 6 2
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39 Salad 4072225607636 99.69 \N monthly Aisle 8 - Shelf 1 1
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40 Shirt 1100435245379 50.15 \N monthly Aisle 9 - Shelf 5 2
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41 Small Chicken 7916950242465 41.81 \N daily Aisle 9 - Shelf 10 2
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42 Handcrafted Cotton Bike 1297557024521 44.46 \N weekly Aisle 12 - Shelf 6 1
77+
43 Tasty Metal Car 3767368920261 86.4 \N daily Aisle 20 - Shelf 7 4
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44 Frozen Computer 2123842533968 84.21 \N daily Aisle 14 - Shelf 1 1
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45 Granite Table 6335792223448 94.38 \N weekly Aisle 3 - Shelf 4 2
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46 Steel Soap 1446340431156 77.29 61.55 weekly Aisle 11 - Shelf 3 4
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47 Steel Car 6902849930798 99.42 \N monthly Aisle 16 - Shelf 7 2
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48 Fresh Towels 1407985277738 15.21 \N weekly Aisle 14 - Shelf 4 5
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49 Awesome Wooden Tuna 9773452228599 8.94 \N weekly Aisle 16 - Shelf 1 4
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50 Incredible Cotton Chair 3917327262066 48.25 \N weekly Aisle 19 - Shelf 4 2
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\.
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COPY "Transactions" FROM stdin;
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1 39 14 Rental 2025-01-05 07:01:41.127635 33.89 Parent do next nothing.
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2 34 12 Return 2025-01-06 00:36:46.357093 90.28 Middle lot indicate each own.
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3 32 12 Rental 2025-01-08 22:11:39.650891 366.16 Certainly continue test staff instead.
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4 9 1 Sale 2025-01-08 06:12:51.249842 231.8 Become deal above worker.
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5 40 4 Return 2025-01-02 21:04:51.663746 86.12 Their authority truth.
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6 43 17 Return 2025-01-07 03:18:19.432767 351.85 Nearly kind watch government.
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7 30 18 Rental 2025-01-05 23:48:44.215668 114.87 Opportunity agency item shake garden.
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8 18 13 Return 2025-01-07 23:16:50.086201 263.57 After not focus evening issue sort.
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9 9 5 Return 2025-01-06 01:56:13.507773 484.27 By since from impact network rich.
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10 2 14 Return 2025-01-05 12:11:32.712421 333.68 Enjoy best worker trouble generation sense conference.
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11 42 11 Sale 2025-01-08 10:27:41.449848 288.18 Source establish rock.
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12 21 1 Sale 2025-01-04 00:19:36.450256 426.97 Me early pretty interesting series for.
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13 18 12 Return 2025-01-04 08:27:53.644542 447.06 Put memory state purpose activity out.
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14 18 1 Rental 2025-01-07 04:04:34.414619 193.66 Learn surface avoid third month guy western.
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15 38 15 Return 2025-01-03 03:01:31.908378 401.74 Anything eye assume one close.
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16 42 8 Rental 2025-01-01 20:00:04.582708 135.68 Across success our.
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17 7 10 Rental 2025-01-01 10:32:23.010572 388.96 Easy our garden challenge attorney true.
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18 39 16 Return 2025-01-07 22:53:59.558770 440.86 Day nation entire opportunity specific.
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19 44 3 Sale 2025-01-07 20:04:35.403750 68.49 True different miss represent treat style life total.
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20 35 9 Rental 2025-01-03 22:09:19.439293 241.85 Nature art morning animal reality consider.
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21 35 7 Return 2025-01-07 15:24:52.657552 283.9 Beautiful require discuss.
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22 33 5 Rental 2025-01-05 15:49:27.469122 270.25 Your claim before record event.
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23 25 15 Return 2025-01-06 19:26:09.706831 11.48 College five court realize national usually spend.
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24 6 18 Sale 2025-01-02 13:09:13.996161 378.17 Huge recognize career full evidence.
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25 34 15 Rental 2025-01-01 13:08:08.892432 92.48 Heart my reach seem.
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26 46 12 Sale 2025-01-08 13:15:57.539659 27.63 Never start team on personal.
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27 36 18 Sale 2025-01-05 01:42:16.062249 379.57 Contain however hour free understand approach.
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28 19 16 Return 2025-01-06 13:52:20.733679 57.23 Town order price without.
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29 41 11 Return 2025-01-05 01:54:14.555208 285.55 Director break race method cup reflect.
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30 46 14 Sale 2025-01-09 12:33:31.710219 418.72 Describe second suggest side whole summer scene sit.
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31 6 15 Return 2025-01-02 01:39:56.841238 234.34 Man talk tax official why each.
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32 25 3 Rental 2025-01-03 16:34:24.019198 47.09 Professional fire western yes and rise.
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33 50 11 Sale 2025-01-07 03:46:00.440673 21.64 Pick point college art window establish generation.
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34 44 15 Sale 2025-01-09 06:11:46.502587 58.81 Training charge sing network practice indicate.
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35 11 4 Return 2025-01-04 09:59:38.611101 359.51 Believe time performance former son research.
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36 21 2 Sale 2025-01-07 16:45:55.633113 450.69 House success father goal decision.
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37 48 8 Rental 2025-01-02 19:30:19.513224 376.06 Will huge current question only laugh.
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38 7 7 Return 2025-01-09 07:54:56.861736 266.68 Hot national as rich sense do.
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39 18 4 Sale 2025-01-03 00:58:45.780465 10.01 Brother newspaper relate camera.
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40 10 8 Return 2025-01-03 21:35:41.805364 498.47 Billion beautiful sister third beyond trip later.
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41 4 19 Return 2025-01-08 15:39:15.548741 385.07 Mind late benefit clear box fall.
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42 21 14 Rental 2025-01-04 13:22:19.886734 371.96 Arrive a quickly growth cup more growth.
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43 29 18 Rental 2025-01-05 10:44:47.594180 248.52 Environment live leader establish page fire smile.
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44 15 9 Return 2025-01-08 04:54:54.349731 343.93 Ago able man still because edge.
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45 1 6 Sale 2025-01-06 17:28:30.318964 158.97 Forget up senior save similar cut.
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46 32 13 Return 2025-01-06 01:04:58.734765 369.9 Operation indicate where head life conference play source.
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47 8 2 Sale 2025-01-01 13:21:22.098153 436.27 Stock four look meet follow son no.
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48 18 9 Sale 2025-01-08 11:08:54.544866 141.76 West fund attorney eat.
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49 37 11 Return 2025-01-05 21:01:37.248513 43.93 Line management mission nation hand enter.
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50 24 20 Sale 2025-01-01 08:00:24.211308 208.04 Sort will respond.
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51 34 13 Return 2025-01-08 20:41:10.383703 333.91 Order condition body why.
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52 48 15 Return 2025-01-09 13:11:09.843066 486.57 Let air place mind through three former.
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53 8 1 Rental 2025-01-05 04:30:22.270990 182.64 Page individual look kid stuff memory approach.
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54 20 3 Sale 2025-01-01 20:50:45.309585 203.82 Society prepare reduce exist decade.
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55 39 15 Sale 2025-01-02 00:24:33.140710 198.32 Approach today way direction thank myself.
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56 31 9 Rental 2025-01-05 11:48:09.134273 143.67 Movie whom head allow say.
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57 28 5 Sale 2025-01-07 04:17:14.341166 279.41 Action while bed operation family low.
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58 46 19 Rental 2025-01-06 03:27:56.401884 489.29 Partner begin imagine pressure meet Republican some each.
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59 43 9 Return 2025-01-09 07:52:23.457044 75.11 Among the least several.
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60 47 13 Rental 2025-01-08 09:47:30.655247 21.0 Conference history may accept.
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\.
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COPY "Rentals" FROM stdin;
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1 21 2025-01-02 17:17:01.038259 2025-01-04 09:27:31.353393 2025-01-02 17:17:01.038259 2025-01-04 09:27:31.353393 1 day, 16:10:30.315134
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2 36 2025-01-05 19:39:20.860763 2025-01-06 20:27:26.861075 2025-01-05 19:39:20.860763 2025-01-06 20:27:26.861075 1 day, 0:48:06.000312
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3 60 2025-01-04 21:08:17.008730 2025-01-08 19:15:09.054021 2025-01-04 21:08:17.008730 2025-01-08 19:15:09.054021 3 days, 22:06:52.045291
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4 57 2025-01-06 15:07:27.892103 2025-01-08 21:54:50.517507 2025-01-06 15:07:27.892103 2025-01-08 21:54:50.517507 2 days, 6:47:22.625404
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5 19 2025-01-03 20:32:32.270051 2025-01-04 22:23:22.631980 2025-01-03 20:32:32.270051 2025-01-04 22:23:22.631980 1 day, 1:50:50.361929
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6 3 2025-01-07 17:31:41.074136 2025-01-07 19:47:05.603302 2025-01-07 17:31:41.074136 2025-01-07 19:47:05.603302 2:15:24.529166
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7 43 2025-01-09 11:14:08.299994 2025-01-09 12:22:00.997263 2025-01-09 11:14:08.299994 2025-01-09 12:22:00.997263 1:07:52.697269
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8 59 2025-01-06 11:50:20.545521 2025-01-08 17:56:03.290966 2025-01-06 11:50:20.545521 2025-01-08 17:56:03.290966 2 days, 6:05:42.745445
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9 7 2025-01-08 13:02:09.582545 2025-01-09 01:06:22.105703 2025-01-08 13:02:09.582545 2025-01-09 01:06:22.105703 12:04:12.523158
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10 60 2025-01-09 14:09:05.837723 2025-01-09 14:26:47.625353 2025-01-09 14:09:05.837723 2025-01-09 14:26:47.625353 0:17:41.787630
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11 20 2025-01-08 19:41:12.490849 2025-01-08 23:52:09.761080 2025-01-08 19:41:12.490849 2025-01-08 23:52:09.761080 4:10:57.270231
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12 60 2025-01-09 10:26:39.846213 2025-01-09 12:45:53.057719 2025-01-09 10:26:39.846213 2025-01-09 12:45:53.057719 2:19:13.211506
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13 14 2025-01-04 05:25:21.449598 2025-01-05 05:29:53.512150 2025-01-04 05:25:21.449598 2025-01-05 05:29:53.512150 1 day, 0:04:32.062552
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14 50 2025-01-07 21:00:32.884118 2025-01-08 19:56:00.542939 2025-01-07 21:00:32.884118 2025-01-08 19:56:00.542939 22:55:27.658821
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15 7 2025-01-04 17:56:55.975461 2025-01-06 07:20:35.402320 2025-01-04 17:56:55.975461 2025-01-06 07:20:35.402320 1 day, 13:23:39.426859
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16 30 2025-01-01 07:43:41.525616 2025-01-01 11:59:54.787428 2025-01-01 07:43:41.525616 2025-01-01 11:59:54.787428 4:16:13.261812
167+
17 8 2025-01-08 01:14:50.247716 2025-01-08 03:00:18.033791 2025-01-08 01:14:50.247716 2025-01-08 03:00:18.033791 1:45:27.786075
168+
18 53 2025-01-04 23:09:58.226653 2025-01-07 12:42:25.366726 2025-01-04 23:09:58.226653 2025-01-07 12:42:25.366726 2 days, 13:32:27.140073
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19 10 2025-01-08 14:47:41.353557 2025-01-09 05:13:52.863668 2025-01-08 14:47:41.353557 2025-01-09 05:13:52.863668 14:26:11.510111
170+
20 29 2025-01-08 00:06:28.247108 2025-01-08 21:00:25.535046 2025-01-08 00:06:28.247108 2025-01-08 21:00:25.535046 20:53:57.287938
171+
21 45 2025-01-01 03:19:14.665370 2025-01-06 15:09:50.270534 2025-01-01 03:19:14.665370 2025-01-06 15:09:50.270534 5 days, 11:50:35.605164
172+
22 40 2025-01-06 12:40:02.617011 2025-01-07 06:05:40.409848 2025-01-06 12:40:02.617011 2025-01-07 06:05:40.409848 17:25:37.792837
173+
23 6 2025-01-02 19:58:34.684974 2025-01-06 19:24:49.730970 2025-01-02 19:58:34.684974 2025-01-06 19:24:49.730970 3 days, 23:26:15.045996
174+
24 41 2025-01-06 01:40:23.089083 2025-01-07 16:03:50.691736 2025-01-06 01:40:23.089083 2025-01-07 16:03:50.691736 1 day, 14:23:27.602653
175+
25 40 2025-01-03 15:30:50.863278 2025-01-06 16:55:14.172005 2025-01-03 15:30:50.863278 2025-01-06 16:55:14.172005 3 days, 1:24:23.308727
176+
26 41 2025-01-05 21:53:59.869241 2025-01-06 17:34:07.536256 2025-01-05 21:53:59.869241 2025-01-06 17:34:07.536256 19:40:07.667015
177+
27 44 2025-01-02 18:26:00.111548 2025-01-03 17:16:27.936515 2025-01-02 18:26:00.111548 2025-01-03 17:16:27.936515 22:50:27.824967
178+
28 38 2025-01-04 22:48:32.464699 2025-01-07 01:43:00.146715 2025-01-04 22:48:32.464699 2025-01-07 01:43:00.146715 2 days, 2:54:27.682016
179+
29 60 2025-01-04 11:33:22.404860 2025-01-08 22:07:32.443708 2025-01-04 11:33:22.404860 2025-01-08 22:07:32.443708 4 days, 10:34:10.038848
180+
30 55 2025-01-09 01:08:30.422155 2025-01-09 06:04:16.712306 2025-01-09 01:08:30.422155 2025-01-09 06:04:16.712306 4:55:46.290151
181+
\.
182+

hardware_store/requirements.txt renamed to beta-case-studies/hardware_store/requirements.txt

File renamed without changes.

hardware_store/schema.sql renamed to beta-case-studies/hardware_store/schema.sql

File renamed without changes.

‎beta-case-studies/museum_exhibits/README.md‎

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# Museum Exhabits sample data
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This sample dataset represents a museum managing their assets and exhibits across multiple locations.
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```mermaid
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%% https://mermaid.js.org/syntax/entityRelationshipDiagram.html
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erDiagram
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"Acquisition Types" {
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BIGINT id PK
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string type_name
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string description
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}
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"Collections" {
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BIGINT id PK
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string name
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string description
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}
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"Locations" {
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BIGINT id PK
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string name
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string address
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}
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"Exhibits" {
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BIGINT id PK
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string name
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DATE start_date
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DATE end_date
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BIGINT location_id FK
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BOOLEAN featured
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string description
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}
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"Items" {
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BIGINT id PK
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string name
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string serial_number
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DATE acquisition_date
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BIGINT acquisition_type_id FK
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BIGINT collection_id FK
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BIGINT exhibit_id FK
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}
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%% Relationships
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%% See: https://mermaid.js.org/syntax/entityRelationshipDiagram.html#relationship-syntax
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"Exhibits" ||--|| "Locations" : "location_id"
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"Items" ||--|| "Acquisition Types" : "acquisition_type_id"
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"Items" ||--|| "Collections" : "collection_id"
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"Items" ||--|| "Exhibits" : "exhibit_id"
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```
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## Loading Data
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The generated SQL file, `generate_data/load_data.sql`, contains all the necessary COPY commands to import data into your database. The data (and the load data file) are produced by the `generate_data.py` file, which can be adjusted and re-run to alter the data if needed.
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Load the data into a locally-running Mathesar instance like this:
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```shell
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# First load the schema and tables
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docker exec -i mathesar_dev_db bash -c 'psql -U mathesar' < schema.sql
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# Then the sample data
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docker exec -i mathesar_dev_db bash -c 'psql -U mathesar' < generated_data.sql
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```
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## Development
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The only requirement is to install dependencies with `pip install -r requirements.txt`.

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