diff --git a/backlog/Stack_Overflow2018.ipynb b/backlog/Stack_Overflow2018.ipynb
index fa521d4..918bb96 100644
--- a/backlog/Stack_Overflow2018.ipynb
+++ b/backlog/Stack_Overflow2018.ipynb
@@ -3,7 +3,8 @@
   "nbformat_minor": 0,
   "metadata": {
     "colab": {
-      "provenance": []
+      "provenance": [],
+      "gpuType": "T4"
     },
     "kernelspec": {
       "name": "python3",
@@ -11,7 +12,8 @@
     },
     "language_info": {
       "name": "python"
-    }
+    },
+    "accelerator": "GPU"
   },
   "cells": [
     {
@@ -52,9 +54,33 @@
       "metadata": {
         "id": "PofFmURLASrI"
       },
-      "execution_count": 2,
+      "execution_count": 1,
       "outputs": []
     },
+    {
+      "cell_type": "code",
+      "source": [
+        "from google.colab import drive\n",
+        "drive.mount('/content/drive')"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "2faOx-2toTHJ",
+        "outputId": "1b35211f-331c-4651-9d1e-9a317f013ac5"
+      },
+      "execution_count": 2,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Mounted at /content/drive\n"
+          ]
+        }
+      ]
+    },
     {
       "cell_type": "markdown",
       "source": [
@@ -67,10 +93,32 @@
     {
       "cell_type": "code",
       "source": [
-        "df=pd.read_csv(\"/content/survey_results_sample_2018.csv\")"
+        "df=pd.read_csv(\"/content/drive/MyDrive/GirlsScriptOpenSource/StockOverflow/survey_results_public_2018.csv\")"
       ],
       "metadata": {
-        "id": "YreYMLwKAW3p"
+        "id": "YreYMLwKAW3p",
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "outputId": "0e467e0f-f755-4cd5-da7c-efd605eb5246"
+      },
+      "execution_count": 3,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stderr",
+          "text": [
+            "<ipython-input-3-802ceec4e508>:1: DtypeWarning: Columns (8,12,13,14,15,16,50,51,52,53,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128) have mixed types. Specify dtype option on import or set low_memory=False.\n",
+            "  df=pd.read_csv(\"/content/drive/MyDrive/GirlsScriptOpenSource/StockOverflow/survey_results_public_2018.csv\")\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [],
+      "metadata": {
+        "id": "UAVWrkO5oQbk"
       },
       "execution_count": 3,
       "outputs": []
@@ -96,7 +144,7 @@
           "height": 1000
         },
         "id": "NeeuOsj4AzIs",
-        "outputId": "2a7a3c35-52c4-4540-c663-ed4aa65d99b8"
+        "outputId": "50791d78-3388-4755-e3e2-85e1acfd7897"
       },
       "execution_count": 4,
       "outputs": [
@@ -117,16 +165,16 @@
               "9          16    No        Yes           India              No   \n",
               "\n",
               "           Employment                                    FormalEducation  \\\n",
-              "0  Employed part-time         Bachelor’s degree (BA, BS, B.Eng., etc.)   \n",
-              "1  Employed full-time         Bachelor’s degree (BA, BS, B.Eng., etc.)   \n",
+              "0  Employed part-time           Bachelor’s degree (BA, BS, B.Eng., etc.)   \n",
+              "1  Employed full-time           Bachelor’s degree (BA, BS, B.Eng., etc.)   \n",
               "2  Employed full-time                                   Associate degree   \n",
-              "3  Employed full-time         Bachelor’s degree (BA, BS, B.Eng., etc.)   \n",
+              "3  Employed full-time           Bachelor’s degree (BA, BS, B.Eng., etc.)   \n",
               "4  Employed full-time  Some college/university study without earning ...   \n",
-              "5  Employed full-time         Bachelor’s degree (BA, BS, B.Eng., etc.)   \n",
+              "5  Employed full-time           Bachelor’s degree (BA, BS, B.Eng., etc.)   \n",
               "6  Employed full-time  Some college/university study without earning ...   \n",
-              "7  Employed full-time         Bachelor’s degree (BA, BS, B.Eng., etc.)   \n",
+              "7  Employed full-time           Bachelor’s degree (BA, BS, B.Eng., etc.)   \n",
               "8  Employed full-time  Some college/university study without earning ...   \n",
-              "9  Employed full-time         Bachelor’s degree (BA, BS, B.Eng., etc.)   \n",
+              "9  Employed full-time           Bachelor’s degree (BA, BS, B.Eng., etc.)   \n",
               "\n",
               "                                      UndergradMajor  \\\n",
               "0                          Mathematics or statistics   \n",
@@ -177,13 +225,13 @@
               "9                         NaN     NaN                       NaN   \n",
               "\n",
               "                                    EducationParents  \\\n",
-              "0         Bachelor’s degree (BA, BS, B.Eng., etc.)   \n",
-              "1         Bachelor’s degree (BA, BS, B.Eng., etc.)   \n",
+              "0           Bachelor’s degree (BA, BS, B.Eng., etc.)   \n",
+              "1           Bachelor’s degree (BA, BS, B.Eng., etc.)   \n",
               "2                                                NaN   \n",
               "3  Some college/university study without earning ...   \n",
               "4  Some college/university study without earning ...   \n",
               "5  Secondary school (e.g. American high school, G...   \n",
-              "6      Master’s degree (MA, MS, M.Eng., MBA, etc.)   \n",
+              "6        Master’s degree (MA, MS, M.Eng., MBA, etc.)   \n",
               "7                          Primary/elementary school   \n",
               "8  Some college/university study without earning ...   \n",
               "9                                                NaN   \n",
@@ -216,7 +264,7 @@
             ],
             "text/html": [
               "\n",
-              "  <div id=\"df-6b6b7fbd-fc96-4f60-bc36-f5a95879ae72\" class=\"colab-df-container\">\n",
+              "  <div id=\"df-06e11d0f-2a18-4fb8-8ab4-92cdacca8087\" class=\"colab-df-container\">\n",
               "    <div>\n",
               "<style scoped>\n",
               "    .dataframe tbody tr th:only-of-type {\n",
@@ -267,7 +315,7 @@
               "      <td>Kenya</td>\n",
               "      <td>No</td>\n",
               "      <td>Employed part-time</td>\n",
-              "      <td>Bachelor’s degree (BA, BS, B.Eng., etc.)</td>\n",
+              "      <td>Bachelor’s degree (BA, BS, B.Eng., etc.)</td>\n",
               "      <td>Mathematics or statistics</td>\n",
               "      <td>20 to 99 employees</td>\n",
               "      <td>Full-stack developer</td>\n",
@@ -275,7 +323,7 @@
               "      <td>3 - 4 times per week</td>\n",
               "      <td>Male</td>\n",
               "      <td>Straight or heterosexual</td>\n",
-              "      <td>Bachelor’s degree (BA, BS, B.Eng., etc.)</td>\n",
+              "      <td>Bachelor’s degree (BA, BS, B.Eng., etc.)</td>\n",
               "      <td>Black or of African descent</td>\n",
               "      <td>25 - 34 years old</td>\n",
               "      <td>Yes</td>\n",
@@ -291,7 +339,7 @@
               "      <td>United Kingdom</td>\n",
               "      <td>No</td>\n",
               "      <td>Employed full-time</td>\n",
-              "      <td>Bachelor’s degree (BA, BS, B.Eng., etc.)</td>\n",
+              "      <td>Bachelor’s degree (BA, BS, B.Eng., etc.)</td>\n",
               "      <td>A natural science (ex. biology, chemistry, phy...</td>\n",
               "      <td>10,000 or more employees</td>\n",
               "      <td>Database administrator;DevOps specialist;Full-...</td>\n",
@@ -299,7 +347,7 @@
               "      <td>Daily or almost every day</td>\n",
               "      <td>Male</td>\n",
               "      <td>Straight or heterosexual</td>\n",
-              "      <td>Bachelor’s degree (BA, BS, B.Eng., etc.)</td>\n",
+              "      <td>Bachelor’s degree (BA, BS, B.Eng., etc.)</td>\n",
               "      <td>White or of European descent</td>\n",
               "      <td>35 - 44 years old</td>\n",
               "      <td>Yes</td>\n",
@@ -339,7 +387,7 @@
               "      <td>United States</td>\n",
               "      <td>No</td>\n",
               "      <td>Employed full-time</td>\n",
-              "      <td>Bachelor’s degree (BA, BS, B.Eng., etc.)</td>\n",
+              "      <td>Bachelor’s degree (BA, BS, B.Eng., etc.)</td>\n",
               "      <td>Computer science, computer engineering, or sof...</td>\n",
               "      <td>100 to 499 employees</td>\n",
               "      <td>Full-stack developer</td>\n",
@@ -387,7 +435,7 @@
               "      <td>United Kingdom</td>\n",
               "      <td>No</td>\n",
               "      <td>Employed full-time</td>\n",
-              "      <td>Bachelor’s degree (BA, BS, B.Eng., etc.)</td>\n",
+              "      <td>Bachelor’s degree (BA, BS, B.Eng., etc.)</td>\n",
               "      <td>Computer science, computer engineering, or sof...</td>\n",
               "      <td>10 to 19 employees</td>\n",
               "      <td>Back-end developer;Database administrator;Fron...</td>\n",
@@ -419,7 +467,7 @@
               "      <td>I don't typically exercise</td>\n",
               "      <td>Male</td>\n",
               "      <td>Straight or heterosexual</td>\n",
-              "      <td>Master’s degree (MA, MS, M.Eng., MBA, etc.)</td>\n",
+              "      <td>Master’s degree (MA, MS, M.Eng., MBA, etc.)</td>\n",
               "      <td>White or of European descent</td>\n",
               "      <td>18 - 24 years old</td>\n",
               "      <td>No</td>\n",
@@ -435,7 +483,7 @@
               "      <td>Nigeria</td>\n",
               "      <td>No</td>\n",
               "      <td>Employed full-time</td>\n",
-              "      <td>Bachelor’s degree (BA, BS, B.Eng., etc.)</td>\n",
+              "      <td>Bachelor’s degree (BA, BS, B.Eng., etc.)</td>\n",
               "      <td>Computer science, computer engineering, or sof...</td>\n",
               "      <td>10 to 19 employees</td>\n",
               "      <td>Designer;Front-end developer;QA or test developer</td>\n",
@@ -483,7 +531,7 @@
               "      <td>India</td>\n",
               "      <td>No</td>\n",
               "      <td>Employed full-time</td>\n",
-              "      <td>Bachelor’s degree (BA, BS, B.Eng., etc.)</td>\n",
+              "      <td>Bachelor’s degree (BA, BS, B.Eng., etc.)</td>\n",
               "      <td>Computer science, computer engineering, or sof...</td>\n",
               "      <td>500 to 999 employees</td>\n",
               "      <td>Designer</td>\n",
@@ -506,7 +554,7 @@
               "    <div class=\"colab-df-buttons\">\n",
               "\n",
               "  <div class=\"colab-df-container\">\n",
-              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-6b6b7fbd-fc96-4f60-bc36-f5a95879ae72')\"\n",
+              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-06e11d0f-2a18-4fb8-8ab4-92cdacca8087')\"\n",
               "            title=\"Convert this dataframe to an interactive table.\"\n",
               "            style=\"display:none;\">\n",
               "\n",
@@ -558,12 +606,12 @@
               "\n",
               "    <script>\n",
               "      const buttonEl =\n",
-              "        document.querySelector('#df-6b6b7fbd-fc96-4f60-bc36-f5a95879ae72 button.colab-df-convert');\n",
+              "        document.querySelector('#df-06e11d0f-2a18-4fb8-8ab4-92cdacca8087 button.colab-df-convert');\n",
               "      buttonEl.style.display =\n",
               "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
               "\n",
               "      async function convertToInteractive(key) {\n",
-              "        const element = document.querySelector('#df-6b6b7fbd-fc96-4f60-bc36-f5a95879ae72');\n",
+              "        const element = document.querySelector('#df-06e11d0f-2a18-4fb8-8ab4-92cdacca8087');\n",
               "        const dataTable =\n",
               "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
               "                                                    [key], {});\n",
@@ -583,8 +631,8 @@
               "  </div>\n",
               "\n",
               "\n",
-              "<div id=\"df-6ac305f5-cb1d-49f3-9e16-b71edfc530b7\">\n",
-              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-6ac305f5-cb1d-49f3-9e16-b71edfc530b7')\"\n",
+              "<div id=\"df-76c6dff9-b30b-45c4-bd6b-c47eed778ada\">\n",
+              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-76c6dff9-b30b-45c4-bd6b-c47eed778ada')\"\n",
               "            title=\"Suggest charts\"\n",
               "            style=\"display:none;\">\n",
               "\n",
@@ -703,7 +751,7 @@
               "    }\n",
               "    (() => {\n",
               "      let quickchartButtonEl =\n",
-              "        document.querySelector('#df-6ac305f5-cb1d-49f3-9e16-b71edfc530b7 button');\n",
+              "        document.querySelector('#df-76c6dff9-b30b-45c4-bd6b-c47eed778ada button');\n",
               "      quickchartButtonEl.style.display =\n",
               "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
               "    })();\n",
@@ -734,7 +782,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "Pk727hn8BAtt",
-        "outputId": "d679067c-11a7-4d2a-c094-a3dc62b8ec2b"
+        "outputId": "0e0c928f-dd4c-4a9c-c5d2-92abc71eefaf"
       },
       "execution_count": 5,
       "outputs": [
@@ -742,7 +790,7 @@
           "output_type": "execute_result",
           "data": {
             "text/plain": [
-              "(99, 129)"
+              "(98855, 129)"
             ]
           },
           "metadata": {},
@@ -761,7 +809,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "MJa9xMhaBN0h",
-        "outputId": "809bc6cf-e913-4486-cf76-240056a82af6"
+        "outputId": "328e5fc0-524e-43a1-ed95-84d0362306f0"
       },
       "execution_count": 6,
       "outputs": [
@@ -798,7 +846,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "tYgb3H0fBXSM",
-        "outputId": "86a3960c-cb0c-463e-b6a1-faf60a7a49a0"
+        "outputId": "96fedb43-6352-424e-9d37-4fef0c833b74"
       },
       "execution_count": 7,
       "outputs": [
@@ -841,7 +889,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "Oq3xNHCbC0dw",
-        "outputId": "760f4a2a-0b86-4966-cde7-64120d6e98fe"
+        "outputId": "3e32f63e-4504-4658-e584-ea0453160c39"
       },
       "execution_count": 8,
       "outputs": [
@@ -849,17 +897,17 @@
           "output_type": "execute_result",
           "data": {
             "text/plain": [
-              "Respondent        0\n",
-              "Hobby             0\n",
-              "OpenSource        0\n",
-              "Country           0\n",
-              "Student           1\n",
-              "                 ..\n",
-              "Age              32\n",
-              "Dependents       32\n",
-              "MilitaryUS       80\n",
-              "SurveyTooLong    32\n",
-              "SurveyEasy       32\n",
+              "Respondent           0\n",
+              "Hobby                0\n",
+              "OpenSource           0\n",
+              "Country            412\n",
+              "Student           3954\n",
+              "                 ...  \n",
+              "Age              34281\n",
+              "Dependents       36259\n",
+              "MilitaryUS       83074\n",
+              "SurveyTooLong    32914\n",
+              "SurveyEasy       32976\n",
               "Length: 129, dtype: int64"
             ]
           },
@@ -903,7 +951,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "UzfvQT1kDxYW",
-        "outputId": "550042b8-7523-4924-925b-a585bcd9e60f"
+        "outputId": "8306c15d-9bad-4289-d439-5064bd602655"
       },
       "execution_count": 10,
       "outputs": [
@@ -911,9 +959,9 @@
           "output_type": "stream",
           "name": "stdout",
           "text": [
-            "Total number of cells:  12771\n",
-            "Total number of missing values:  4421\n",
-            "Missing Percentage:  34.61749275702764 %\n"
+            "Total number of cells:  12752295\n",
+            "Total number of missing values:  4349316\n",
+            "Missing Percentage:  34.10614324715669 %\n"
           ]
         }
       ]
@@ -950,7 +998,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "IsT298IwEf-8",
-        "outputId": "3027b990-d126-4f60-a169-a79370878369"
+        "outputId": "4c329522-0310-48f3-9de5-ab2e0a692be2"
       },
       "execution_count": 11,
       "outputs": [
@@ -958,7 +1006,7 @@
           "output_type": "stream",
           "name": "stdout",
           "text": [
-            "Missing percentage of the 'Gender' column: 32.323232323232325 %\n"
+            "Missing percentage of the 'Gender' column: 34.784280006069494 %\n"
           ]
         }
       ]
@@ -982,7 +1030,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "qOL_vo90F812",
-        "outputId": "604ef82e-c325-4f4d-f153-660465f8ad58"
+        "outputId": "de216f1c-5e21-44c6-e5cf-b0eacc4b769c"
       },
       "execution_count": 12,
       "outputs": [
@@ -993,7 +1041,15 @@
               "array(['Male', nan, 'Female',\n",
               "       'Female;Male;Transgender;Non-binary, genderqueer, or gender non-conforming',\n",
               "       'Female;Male',\n",
-              "       'Male;Non-binary, genderqueer, or gender non-conforming'],\n",
+              "       'Male;Non-binary, genderqueer, or gender non-conforming',\n",
+              "       'Non-binary, genderqueer, or gender non-conforming', 'Transgender',\n",
+              "       'Female;Transgender',\n",
+              "       'Transgender;Non-binary, genderqueer, or gender non-conforming',\n",
+              "       'Female;Non-binary, genderqueer, or gender non-conforming',\n",
+              "       'Female;Transgender;Non-binary, genderqueer, or gender non-conforming',\n",
+              "       'Male;Transgender', 'Female;Male;Transgender',\n",
+              "       'Female;Male;Non-binary, genderqueer, or gender non-conforming',\n",
+              "       'Male;Transgender;Non-binary, genderqueer, or gender non-conforming'],\n",
               "      dtype=object)"
             ]
           },
@@ -1013,7 +1069,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "WThNvO9dGNJr",
-        "outputId": "79435260-cd2a-4b2e-ef55-5874094efd63"
+        "outputId": "328cc881-33f0-41bb-844d-551e345fa52b"
       },
       "execution_count": 13,
       "outputs": [
@@ -1022,11 +1078,21 @@
           "data": {
             "text/plain": [
               "Gender\n",
-              "Female                                                                        5\n",
-              "Female;Male                                                                   1\n",
-              "Female;Male;Transgender;Non-binary, genderqueer, or gender non-conforming     1\n",
-              "Male                                                                         59\n",
-              "Male;Non-binary, genderqueer, or gender non-conforming                        1\n",
+              "Female                                                                        4025\n",
+              "Female;Male                                                                     98\n",
+              "Female;Male;Non-binary, genderqueer, or gender non-conforming                    3\n",
+              "Female;Male;Transgender                                                         14\n",
+              "Female;Male;Transgender;Non-binary, genderqueer, or gender non-conforming       50\n",
+              "Female;Non-binary, genderqueer, or gender non-conforming                        50\n",
+              "Female;Transgender                                                             145\n",
+              "Female;Transgender;Non-binary, genderqueer, or gender non-conforming            24\n",
+              "Male                                                                         59458\n",
+              "Male;Non-binary, genderqueer, or gender non-conforming                         128\n",
+              "Male;Transgender                                                                29\n",
+              "Male;Transgender;Non-binary, genderqueer, or gender non-conforming               5\n",
+              "Non-binary, genderqueer, or gender non-conforming                              284\n",
+              "Transgender                                                                    105\n",
+              "Transgender;Non-binary, genderqueer, or gender non-conforming                   51\n",
               "Name: Gender, dtype: int64"
             ]
           },
@@ -1078,7 +1144,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "OyI5oGQJHPVt",
-        "outputId": "a73003d3-59e2-42b0-fd28-df476679d9bb"
+        "outputId": "84523e07-156a-4b46-e70d-b3b46443b578"
       },
       "execution_count": 15,
       "outputs": [
@@ -1087,9 +1153,9 @@
           "data": {
             "text/plain": [
               "Gender\n",
-              "Female             7\n",
-              "Male              60\n",
-              "Non-conforming    32\n",
+              "Female             4438\n",
+              "Male              59696\n",
+              "Non-conforming    34721\n",
               "Name: Gender, dtype: int64"
             ]
           },
@@ -1108,7 +1174,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "1wIFGzW0HcDS",
-        "outputId": "a724cd6b-795a-45ee-cd39-5ded3adb5db9"
+        "outputId": "b2aebfc0-465f-460b-cdc4-95ae65c323e4"
       },
       "execution_count": 16,
       "outputs": [
@@ -1116,7 +1182,7 @@
           "output_type": "execute_result",
           "data": {
             "text/plain": [
-              "(99, 129)"
+              "(98855, 129)"
             ]
           },
           "metadata": {},
@@ -1134,7 +1200,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "cEYOPjlNHw-I",
-        "outputId": "d41f7fe8-2535-4c2c-ebbf-e38520bd7d2d"
+        "outputId": "fe3c6b9f-42dc-4ea0-e13d-6e87b347f263"
       },
       "execution_count": 17,
       "outputs": [
@@ -1182,7 +1248,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "WUTBusH2HzGg",
-        "outputId": "f32f20f9-1110-49ad-84f2-7eccbbd58c24"
+        "outputId": "b22a7678-df56-4640-e954-9636aaa7e117"
       },
       "execution_count": 18,
       "outputs": [
@@ -1191,41 +1257,18 @@
           "data": {
             "text/plain": [
               "Country\n",
-              "Algeria                1\n",
-              "Argentina              2\n",
-              "Australia              1\n",
-              "Belgium                1\n",
-              "Brazil                 1\n",
-              "Bulgaria               1\n",
-              "Chile                  1\n",
-              "China                  2\n",
-              "Colombia               1\n",
-              "Croatia                1\n",
-              "Denmark                1\n",
-              "Dominican Republic     1\n",
-              "Finland                1\n",
-              "France                 3\n",
-              "Germany                5\n",
-              "Greece                 1\n",
-              "India                 16\n",
-              "Indonesia              2\n",
-              "Ireland                1\n",
-              "Israel                 1\n",
-              "Japan                  1\n",
-              "Kenya                  1\n",
-              "Latvia                 1\n",
-              "Netherlands            1\n",
-              "Nigeria                1\n",
-              "Poland                 3\n",
-              "Romania                1\n",
-              "Russian Federation     4\n",
-              "South Africa           1\n",
-              "Spain                  2\n",
-              "Sweden                 3\n",
-              "Ukraine                1\n",
-              "United Kingdom         7\n",
-              "United States         28\n",
-              "Name: Country, dtype: int64"
+              "Afghanistan                              64\n",
+              "Albania                                 109\n",
+              "Algeria                                 130\n",
+              "Andorra                                  15\n",
+              "Angola                                   11\n",
+              "                                       ... \n",
+              "Venezuela, Bolivarian Republic of...    123\n",
+              "Viet Nam                                331\n",
+              "Yemen                                    13\n",
+              "Zambia                                    9\n",
+              "Zimbabwe                                 39\n",
+              "Name: Country, Length: 183, dtype: int64"
             ]
           },
           "metadata": {},
@@ -1243,7 +1286,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "ds9Hf2hgIn8d",
-        "outputId": "3afea5a2-2a96-4eb1-fad0-5ed0a4d8ae66"
+        "outputId": "5fd28eba-06fa-4826-8bc3-02878e4ff185"
       },
       "execution_count": 19,
       "outputs": [
@@ -1251,7 +1294,7 @@
           "output_type": "execute_result",
           "data": {
             "text/plain": [
-              "0"
+              "412"
             ]
           },
           "metadata": {},
@@ -1281,7 +1324,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "VvZcOHoAIv79",
-        "outputId": "384f0346-a962-4850-de64-53751ad54399"
+        "outputId": "c61b2977-10eb-475a-b178-f1315e35700c"
       },
       "execution_count": 21,
       "outputs": [
@@ -1325,7 +1368,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "3LXVD5rzJEuX",
-        "outputId": "c8269b20-8789-4259-adde-9b1352091813"
+        "outputId": "6b40fbf8-a65f-4654-d167-c2b1b4e60617"
       },
       "execution_count": 22,
       "outputs": [
@@ -1351,7 +1394,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "D-Z7I4JrJhRo",
-        "outputId": "25abd92b-b696-4090-abb0-bb28d58df519"
+        "outputId": "11cc014c-cc99-4a93-9464-2de72061fb1b"
       },
       "execution_count": 23,
       "outputs": [
@@ -1360,8 +1403,8 @@
           "data": {
             "text/plain": [
               "Hobby\n",
-              "No     20\n",
-              "Yes    79\n",
+              "No     18958\n",
+              "Yes    79897\n",
               "Name: Hobby, dtype: int64"
             ]
           },
@@ -1389,7 +1432,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "k3_uu36PJ8Wm",
-        "outputId": "41568282-f651-4fe7-f632-5f6cb181f411"
+        "outputId": "ceb9d138-9d99-49e4-c67e-83f37c55f6aa"
       },
       "execution_count": 24,
       "outputs": [
@@ -1433,7 +1476,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "P2xoCi7mKIgO",
-        "outputId": "f83fa113-0e5f-4a19-9861-5c933ba3697a"
+        "outputId": "e5598ad0-5e13-4607-d651-c8a35a3ea486"
       },
       "execution_count": 25,
       "outputs": [
@@ -1441,7 +1484,7 @@
           "output_type": "execute_result",
           "data": {
             "text/plain": [
-              "11"
+              "19819"
             ]
           },
           "metadata": {},
@@ -1459,7 +1502,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "X_jhcUTzKdKE",
-        "outputId": "656569ce-cea0-43c0-a378-99208f5c05da"
+        "outputId": "f2ff4932-8d1b-4992-b6e1-f58a8fd1c3d9"
       },
       "execution_count": 26,
       "outputs": [
@@ -1468,16 +1511,18 @@
           "data": {
             "text/plain": [
               "UndergradMajor\n",
-              "Computer science, computer engineering, or software engineering          56\n",
-              "A natural science (ex. biology, chemistry, physics)                       7\n",
-              "Another engineering discipline (ex. civil, electrical, mechanical)        7\n",
-              "A business discipline (ex. accounting, finance, marketing)                5\n",
-              "Fine arts or performing arts (ex. graphic design, music, studio art)      4\n",
-              "Information systems, information technology, or system administration     3\n",
-              "Mathematics or statistics                                                 2\n",
-              "Web development or web design                                             2\n",
-              "A social science (ex. anthropology, psychology, political science)        1\n",
-              "A humanities discipline (ex. literature, history, philosophy)             1\n",
+              "Computer science, computer engineering, or software engineering          50336\n",
+              "Another engineering discipline (ex. civil, electrical, mechanical)        6945\n",
+              "Information systems, information technology, or system administration     6507\n",
+              "A natural science (ex. biology, chemistry, physics)                       3050\n",
+              "Mathematics or statistics                                                 2818\n",
+              "Web development or web design                                             2418\n",
+              "A business discipline (ex. accounting, finance, marketing)                1921\n",
+              "A humanities discipline (ex. literature, history, philosophy)             1590\n",
+              "A social science (ex. anthropology, psychology, political science)        1377\n",
+              "Fine arts or performing arts (ex. graphic design, music, studio art)      1135\n",
+              "I never declared a major                                                   693\n",
+              "A health science (ex. nursing, pharmacy, radiology)                        246\n",
               "Name: count, dtype: int64"
             ]
           },
@@ -1555,7 +1600,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "FDnUZGWMNJDA",
-        "outputId": "7a3aada2-3d81-4dce-c7d4-0ed1cea11684"
+        "outputId": "cf6bc4d8-3dc3-45ab-8dc2-4c4c44a4e7b5"
       },
       "execution_count": 30,
       "outputs": [
@@ -1564,15 +1609,15 @@
           "data": {
             "text/plain": [
               "UndergradMajor\n",
-              "Computer Science    56\n",
-              "No major            11\n",
-              "Other Science        7\n",
-              "Engineering          7\n",
-              "Arts and Science     6\n",
-              "Business             5\n",
-              "Info Systems         3\n",
-              "Math/Stat            2\n",
-              "Web Design/Dev       2\n",
+              "Computer Science    50336\n",
+              "No major            20512\n",
+              "Engineering          6945\n",
+              "Info Systems         6507\n",
+              "Arts and Science     4102\n",
+              "Other Science        3296\n",
+              "Math/Stat            2818\n",
+              "Web Design/Dev       2418\n",
+              "Business             1921\n",
               "Name: count, dtype: int64"
             ]
           },
@@ -1591,7 +1636,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "7thqzYMnNPDu",
-        "outputId": "9075fc05-1240-4451-872c-829dc560f6e3"
+        "outputId": "303e3570-229c-4d0b-f397-10743b8d4be4"
       },
       "execution_count": 31,
       "outputs": [
@@ -1628,7 +1673,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "8DYmuQj-Nnoi",
-        "outputId": "74c4fad3-28c6-45b4-b9b1-9199e69b92b4"
+        "outputId": "cffd0d7e-07cb-4247-dd99-da58324b9248"
       },
       "execution_count": 33,
       "outputs": [
@@ -1673,7 +1718,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "xzXzkzVsNUPH",
-        "outputId": "e5d6578b-b528-4569-88d7-58970570dbd6"
+        "outputId": "28468d6f-6f2f-45fa-f50d-c3a3fd3ff706"
       },
       "execution_count": 34,
       "outputs": [
@@ -1682,9 +1727,9 @@
           "data": {
             "text/plain": [
               "JobSearchStatus\n",
-              "I’m not actively looking, but I am open to new opportunities    54\n",
-              "I am not interested in new job opportunities                      18\n",
-              "I am actively looking for a job                                   11\n",
+              "I’m not actively looking, but I am open to new opportunities    47556\n",
+              "I am not interested in new job opportunities                    19296\n",
+              "I am actively looking for a job                                 12636\n",
               "Name: count, dtype: int64"
             ]
           },
@@ -1757,7 +1802,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "4tjcirO5lhYz",
-        "outputId": "b1dfcca2-9e72-4c61-d532-621120c88e33"
+        "outputId": "3ca0e6ce-24ec-4777-af9b-6770c92f090c"
       },
       "execution_count": 38,
       "outputs": [
@@ -1766,9 +1811,8 @@
           "data": {
             "text/plain": [
               "JobSearchStatus\n",
-              "nan            54\n",
-              "Not seeking    18\n",
-              "Seeking        11\n",
+              "Not seeking    66852\n",
+              "Seeking        12636\n",
               "Name: count, dtype: int64"
             ]
           },
@@ -1787,7 +1831,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "rZhqXlToljTS",
-        "outputId": "4ae49700-1b6a-4ef6-86ca-fc136cba0061"
+        "outputId": "5df93581-f0fd-488e-cff0-4aef2e500ac6"
       },
       "execution_count": 39,
       "outputs": [
@@ -1831,7 +1875,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "HN5Hw7Jslsn2",
-        "outputId": "40dfeb73-d5cb-40ab-d776-b17861c13e8f"
+        "outputId": "11a03c44-943e-4ae9-86d5-295813ccc82d"
       },
       "execution_count": 40,
       "outputs": [
@@ -1840,8 +1884,12 @@
           "data": {
             "text/plain": [
               "Employment\n",
-              "Employed full-time    77\n",
-              "Employed part-time     6\n",
+              "Employed full-time                                      58551\n",
+              "Independent contractor, freelancer, or self-employed     7797\n",
+              "Not employed, but looking for work                       4604\n",
+              "Employed part-time                                       4170\n",
+              "Not employed, and not looking for work                   3210\n",
+              "Retired                                                   138\n",
               "Name: count, dtype: int64"
             ]
           },
@@ -1860,7 +1908,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "9dB_IwQPmHfa",
-        "outputId": "2072d63a-28f1-4b58-f543-fca4bf9f98d5"
+        "outputId": "443681e5-a375-4e3a-a1cd-db1d1b2a7765"
       },
       "execution_count": 41,
       "outputs": [
@@ -1868,7 +1916,7 @@
           "output_type": "execute_result",
           "data": {
             "text/plain": [
-              "0"
+              "1018"
             ]
           },
           "metadata": {},
@@ -1897,7 +1945,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "Tc7hG1v4mULw",
-        "outputId": "fa86a7b9-6faa-4c5e-aaa2-3cc77f55e3df"
+        "outputId": "df682efe-81d0-4bbf-9307-b836bc65220b"
       },
       "execution_count": 43,
       "outputs": [
@@ -1905,18 +1953,18 @@
           "output_type": "execute_result",
           "data": {
             "text/plain": [
-              "0     Employed part-time\n",
-              "1     Employed full-time\n",
-              "2     Employed full-time\n",
-              "3     Employed full-time\n",
-              "4     Employed full-time\n",
-              "             ...        \n",
-              "93    Employed full-time\n",
-              "94    Employed full-time\n",
-              "95    Employed full-time\n",
-              "97    Employed full-time\n",
-              "98    Employed full-time\n",
-              "Name: Employment, Length: 83, dtype: object"
+              "0                            Employed part-time\n",
+              "1                            Employed full-time\n",
+              "2                            Employed full-time\n",
+              "3                            Employed full-time\n",
+              "4                            Employed full-time\n",
+              "                          ...                  \n",
+              "89967    Not employed, and not looking for work\n",
+              "89968        Not employed, but looking for work\n",
+              "89969    Not employed, and not looking for work\n",
+              "89970    Not employed, and not looking for work\n",
+              "89971    Not employed, and not looking for work\n",
+              "Name: Employment, Length: 79488, dtype: object"
             ]
           },
           "metadata": {},
@@ -1934,7 +1982,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "m4dwu9zemeg2",
-        "outputId": "d52d81bf-c2f7-497c-ba5e-55f5df8d262e"
+        "outputId": "fd2a471e-7918-45fb-d28f-bc56e8e65b7b"
       },
       "execution_count": 44,
       "outputs": [
@@ -1978,7 +2026,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "ZBwz9J5OmpJX",
-        "outputId": "8341bfd8-05ff-4d42-a1ab-f6fc1c98d897"
+        "outputId": "8bcada6a-0b36-4ca8-fcfa-6553eb09c2c7"
       },
       "execution_count": 45,
       "outputs": [
@@ -1987,13 +2035,13 @@
           "data": {
             "text/plain": [
               "JobSatisfaction\n",
-              "Moderately satisfied                  26\n",
-              "Slightly satisfied                    17\n",
-              "Neither satisfied nor dissatisfied    11\n",
-              "Extremely satisfied                    9\n",
-              "Slightly dissatisfied                  9\n",
-              "Moderately dissatisfied                6\n",
-              "Extremely dissatisfied                 2\n",
+              "Moderately satisfied                  25908\n",
+              "Extremely satisfied                   12395\n",
+              "Slightly satisfied                     9973\n",
+              "Slightly dissatisfied                  7037\n",
+              "Moderately dissatisfied                6286\n",
+              "Neither satisfied nor dissatisfied     4935\n",
+              "Extremely dissatisfied                 2472\n",
               "Name: count, dtype: int64"
             ]
           },
@@ -2012,7 +2060,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "GDnUpweIm66o",
-        "outputId": "f6b76f5e-ea29-4d5f-d825-55f9928c3f4f"
+        "outputId": "808b06ce-d634-4f37-d305-6410a7825441"
       },
       "execution_count": 46,
       "outputs": [
@@ -2020,7 +2068,7 @@
           "output_type": "execute_result",
           "data": {
             "text/plain": [
-              "3"
+              "10482"
             ]
           },
           "metadata": {},
@@ -2050,7 +2098,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "_0Qg8298nCCC",
-        "outputId": "52e46af1-95da-403a-ad73-2328b9721577"
+        "outputId": "3a6bc588-a3ad-4c4e-b9ac-f58d2b5a27b2"
       },
       "execution_count": 48,
       "outputs": [
@@ -2094,7 +2142,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "y8BUpHtAnTrh",
-        "outputId": "8b102d3a-91e9-4f78-b858-339e3aafa07b"
+        "outputId": "c5143e47-a7fe-4c6f-bf89-5ca527c7d70e"
       },
       "execution_count": 49,
       "outputs": [
@@ -2103,15 +2151,18 @@
           "data": {
             "text/plain": [
               "RaceEthnicity\n",
-              "Black or of African descent                                                                                                                                                              3\n",
-              "Black or of African descent;East Asian;Hispanic or Latino/Latina;Middle Eastern;Native American, Pacific Islander, or Indigenous Australian;South Asian;White or of European descent     1\n",
-              "Black or of African descent;Hispanic or Latino/Latina                                                                                                                                    1\n",
-              "East Asian                                                                                                                                                                               2\n",
-              "Hispanic or Latino/Latina                                                                                                                                                                1\n",
-              "Hispanic or Latino/Latina;White or of European descent                                                                                                                                   1\n",
-              "South Asian                                                                                                                                                                              8\n",
-              "White or of European descent                                                                                                                                                            41\n",
-              "Name: RaceEthnicity, dtype: int64"
+              "Black or of African descent                                                                                                                                 1204\n",
+              "Black or of African descent;East Asian                                                                                                                         7\n",
+              "Black or of African descent;East Asian;Hispanic or Latino/Latina                                                                                               2\n",
+              "Black or of African descent;East Asian;Hispanic or Latino/Latina;Middle Eastern;Native American, Pacific Islander, or Indigenous Australian                    1\n",
+              "Black or of African descent;East Asian;Hispanic or Latino/Latina;Middle Eastern;Native American, Pacific Islander, or Indigenous Australian;South Asian        1\n",
+              "                                                                                                                                                           ...  \n",
+              "Native American, Pacific Islander, or Indigenous Australian;South Asian;White or of European descent                                                           2\n",
+              "Native American, Pacific Islander, or Indigenous Australian;White or of European descent                                                                     160\n",
+              "South Asian                                                                                                                                                 6112\n",
+              "South Asian;White or of European descent                                                                                                                      88\n",
+              "White or of European descent                                                                                                                               39320\n",
+              "Name: RaceEthnicity, Length: 71, dtype: int64"
             ]
           },
           "metadata": {},
@@ -2158,7 +2209,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "SJUNzLQJomx-",
-        "outputId": "2bcb98d7-df46-41d2-e13b-f4fcd95f9eb5"
+        "outputId": "a856c45a-51b7-47d4-dbc4-e678f908dd3f"
       },
       "execution_count": 51,
       "outputs": [
@@ -2167,11 +2218,13 @@
           "data": {
             "text/plain": [
               "RaceEthnicity\n",
-              "Black or African descent      5\n",
-              "East Asian                    2\n",
-              "Hispanic or Latino            2\n",
-              "South Asian                   8\n",
-              "White or European descent    41\n",
+              "Black or African descent      1549\n",
+              "East Asian                    2787\n",
+              "Hispanic or Latino            3592\n",
+              "Middle Eastern                2176\n",
+              "Native American                286\n",
+              "South Asian                   6200\n",
+              "White or European descent    39320\n",
               "Name: RaceEthnicity, dtype: int64"
             ]
           },
@@ -2190,7 +2243,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "QIwYiTOSorvU",
-        "outputId": "fb688028-fa6a-4bc5-ba0b-ad3b17c4337a"
+        "outputId": "8db28001-4ce8-4c7b-9956-6cc76361d7ed"
       },
       "execution_count": 52,
       "outputs": [
@@ -2198,7 +2251,7 @@
           "output_type": "execute_result",
           "data": {
             "text/plain": [
-              "25"
+              "23578"
             ]
           },
           "metadata": {},
@@ -2228,7 +2281,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "o_q1T5xRo9H3",
-        "outputId": "f50c6efe-3053-4aa6-9206-500c19683c13"
+        "outputId": "eaf00b49-66d7-408d-c3be-5aa3513d117e"
       },
       "execution_count": 54,
       "outputs": [
@@ -2272,7 +2325,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "vbxq2hzxpnep",
-        "outputId": "5a21e6b9-1c69-433d-c112-51a17e0e78ff"
+        "outputId": "8b54bd41-2fdb-44a0-af1b-b89ae8e56820"
       },
       "execution_count": 55,
       "outputs": [
@@ -2280,7 +2333,7 @@
           "output_type": "execute_result",
           "data": {
             "text/plain": [
-              "0"
+              "728"
             ]
           },
           "metadata": {},
@@ -2309,7 +2362,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "6OQ3ubLwqA8k",
-        "outputId": "4aafa34e-e88e-4ed4-8bc6-d0f1e52def06"
+        "outputId": "72808576-357c-4076-b791-4a81118fcaef"
       },
       "execution_count": 57,
       "outputs": [
@@ -2318,67 +2371,18 @@
           "data": {
             "text/plain": [
               "DevType\n",
-              "Back-end developer                                                                                                                                                                       2\n",
-              "Back-end developer;C-suite executive (CEO, CTO, etc.);Data or business analyst;Database administrator;DevOps specialist;Engineering manager;Full-stack developer;System administrator    1\n",
-              "Back-end developer;C-suite executive (CEO, CTO, etc.);Database administrator;Designer;Front-end developer;Full-stack developer;Mobile developer                                          1\n",
-              "Back-end developer;C-suite executive (CEO, CTO, etc.);Database administrator;DevOps specialist;Engineering manager;Full-stack developer;System administrator                             1\n",
-              "Back-end developer;Data or business analyst;Database administrator;DevOps specialist;Front-end developer;Full-stack developer;System administrator                                       1\n",
-              "Back-end developer;Data or business analyst;Designer;Front-end developer;Game or graphics developer;Mobile developer;Student                                                             1\n",
-              "Back-end developer;Data scientist or machine learning specialist;Desktop or enterprise applications developer;Front-end developer;Full-stack developer                                   1\n",
-              "Back-end developer;Data scientist or machine learning specialist;DevOps specialist;Educator or academic researcher;QA or test developer;System administrator                             1\n",
-              "Back-end developer;Data scientist or machine learning specialist;Full-stack developer;Game or graphics developer;Student                                                                 1\n",
-              "Back-end developer;Database administrator;Designer;Desktop or enterprise applications developer;Front-end developer;Full-stack developer                                                 1\n",
-              "Back-end developer;Database administrator;Designer;Front-end developer;Full-stack developer;Mobile developer;System administrator                                                        1\n",
-              "Back-end developer;Database administrator;Desktop or enterprise applications developer;DevOps specialist;Full-stack developer;QA or test developer                                       1\n",
-              "Back-end developer;Database administrator;DevOps specialist;Front-end developer;Full-stack developer;Mobile developer                                                                    1\n",
-              "Back-end developer;Database administrator;DevOps specialist;Front-end developer;Full-stack developer;QA or test developer;System administrator                                           1\n",
-              "Back-end developer;Database administrator;Front-end developer                                                                                                                            1\n",
-              "Back-end developer;Database administrator;Front-end developer;Full-stack developer                                                                                                       1\n",
-              "Back-end developer;Database administrator;Front-end developer;Full-stack developer;Mobile developer                                                                                      1\n",
-              "Back-end developer;Database administrator;Front-end developer;Student;System administrator                                                                                               1\n",
-              "Back-end developer;Designer;Educator or academic researcher;Front-end developer                                                                                                          1\n",
-              "Back-end developer;Designer;Front-end developer;Full-stack developer;Marketing or sales professional;Mobile developer                                                                    1\n",
-              "Back-end developer;Desktop or enterprise applications developer;Embedded applications or devices developer                                                                               2\n",
-              "Back-end developer;Desktop or enterprise applications developer;Embedded applications or devices developer;Front-end developer;Full-stack developer;System administrator                 1\n",
-              "Back-end developer;Desktop or enterprise applications developer;Front-end developer;Full-stack developer                                                                                 2\n",
-              "Back-end developer;Desktop or enterprise applications developer;Front-end developer;Full-stack developer;Game or graphics developer;Student                                              1\n",
-              "Back-end developer;Desktop or enterprise applications developer;QA or test developer                                                                                                     1\n",
-              "Back-end developer;DevOps specialist                                                                                                                                                     2\n",
-              "Back-end developer;DevOps specialist;Front-end developer;Full-stack developer;Mobile developer                                                                                           1\n",
-              "Back-end developer;Embedded applications or devices developer                                                                                                                            1\n",
-              "Back-end developer;Embedded applications or devices developer;Full-stack developer                                                                                                       1\n",
-              "Back-end developer;Engineering manager                                                                                                                                                   1\n",
-              "Back-end developer;Front-end developer                                                                                                                                                   1\n",
-              "Back-end developer;Front-end developer;Full-stack developer                                                                                                                              5\n",
-              "Back-end developer;Front-end developer;Full-stack developer;Mobile developer                                                                                                             1\n",
-              "Back-end developer;Front-end developer;Student                                                                                                                                           2\n",
-              "Back-end developer;Full-stack developer                                                                                                                                                  5\n",
-              "Back-end developer;Full-stack developer;QA or test developer                                                                                                                             1\n",
-              "Back-end developer;Full-stack developer;System administrator                                                                                                                             1\n",
-              "Data or business analyst;Data scientist or machine learning specialist;Database administrator;DevOps specialist                                                                          1\n",
-              "Data or business analyst;Database administrator;DevOps specialist;System administrator                                                                                                   1\n",
-              "Data or business analyst;Desktop or enterprise applications developer;Game or graphics developer;QA or test developer;Student                                                            1\n",
-              "Data scientist or machine learning specialist                                                                                                                                            1\n",
-              "Database administrator;DevOps specialist;Full-stack developer;System administrator                                                                                                       1\n",
-              "Database administrator;Full-stack developer;Mobile developer                                                                                                                             1\n",
-              "Designer;Front-end developer                                                                                                                                                             2\n",
-              "Designer;Front-end developer;Marketing or sales professional                                                                                                                             1\n",
-              "Designer;Front-end developer;QA or test developer                                                                                                                                        1\n",
-              "Desktop or enterprise applications developer;Embedded applications or devices developer;Full-stack developer;Game or graphics developer;Mobile developer                                 1\n",
-              "Desktop or enterprise applications developer;Front-end developer;Product manager                                                                                                         1\n",
-              "Embedded applications or devices developer                                                                                                                                               1\n",
-              "Embedded applications or devices developer;Engineering manager                                                                                                                           1\n",
-              "Engineering manager;Full-stack developer                                                                                                                                                 1\n",
-              "Engineering manager;Mobile developer                                                                                                                                                     1\n",
-              "Front-end developer                                                                                                                                                                      1\n",
-              "Front-end developer;Full-stack developer                                                                                                                                                 1\n",
-              "Front-end developer;Student                                                                                                                                                              1\n",
-              "Full-stack developer                                                                                                                                                                     8\n",
-              "Full-stack developer;Product manager                                                                                                                                                     1\n",
-              "Mobile developer                                                                                                                                                                         2\n",
-              "QA or test developer                                                                                                                                                                     1\n",
-              "Student                                                                                                                                                                                  2\n",
-              "Name: DevType, dtype: int64"
+              "Back-end developer                                                                                                                                                                                           5372\n",
+              "Back-end developer;C-suite executive (CEO, CTO, etc.)                                                                                                                                                          59\n",
+              "Back-end developer;C-suite executive (CEO, CTO, etc.);Data or business analyst                                                                                                                                  5\n",
+              "Back-end developer;C-suite executive (CEO, CTO, etc.);Data or business analyst;Data scientist or machine learning specialist                                                                                    1\n",
+              "Back-end developer;C-suite executive (CEO, CTO, etc.);Data or business analyst;Data scientist or machine learning specialist;Database administrator;Designer;Desktop or enterprise applications developer       1\n",
+              "                                                                                                                                                                                                             ... \n",
+              "QA or test developer;Student;System administrator                                                                                                                                                               5\n",
+              "QA or test developer;System administrator                                                                                                                                                                      10\n",
+              "Student                                                                                                                                                                                                      2523\n",
+              "Student;System administrator                                                                                                                                                                                   63\n",
+              "System administrator                                                                                                                                                                                          247\n",
+              "Name: DevType, Length: 8820, dtype: int64"
             ]
           },
           "metadata": {},
@@ -2436,7 +2440,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "6Uq3rID4rLYy",
-        "outputId": "e9a7c890-14de-48c6-8496-53ddfab1202d"
+        "outputId": "b46d7cc3-a98a-4d0b-d99f-d6826e91e444"
       },
       "execution_count": 59,
       "outputs": [
@@ -2445,10 +2449,10 @@
           "data": {
             "text/plain": [
               "DevType\n",
-              "Developer        74\n",
-              "Manager           2\n",
-              "Non developer     5\n",
-              "Student           2\n",
+              "Developer        73032\n",
+              "Manager            665\n",
+              "Non developer     2791\n",
+              "Student           3000\n",
               "Name: DevType, dtype: int64"
             ]
           },
@@ -2477,7 +2481,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "9XA6DoJOrd1F",
-        "outputId": "769df166-e8e2-4124-bdd0-7ce5780f9659"
+        "outputId": "feac5253-bed5-4ba8-9d1d-71081d7e17de"
       },
       "execution_count": 60,
       "outputs": [
@@ -2486,9 +2490,9 @@
           "data": {
             "text/plain": [
               "LanguageWorkedWith\n",
-              "Java;JavaScript;PHP;SQL;TypeScript;HTML;CSS    2\n",
-              "JavaScript;PHP;HTML;CSS                        2\n",
-              "C;F#;Haskell;Python;Scala                      1\n",
+              "C#;JavaScript;SQL;HTML;CSS     1235\n",
+              "JavaScript;PHP;SQL;HTML;CSS    1095\n",
+              "Java                            855\n",
               "Name: count, dtype: int64"
             ]
           },
@@ -2507,7 +2511,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "Bzonouh4rnpz",
-        "outputId": "06949423-b338-470c-cfd7-05e6c038ed83"
+        "outputId": "99f73a42-8d96-4837-900b-5f2ccfce4ce6"
       },
       "execution_count": 61,
       "outputs": [
@@ -2515,7 +2519,7 @@
           "output_type": "execute_result",
           "data": {
             "text/plain": [
-              "14"
+              "9985"
             ]
           },
           "metadata": {},
@@ -2545,7 +2549,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "PGdafg4HsG7-",
-        "outputId": "8cc4c79b-3456-44fb-a414-d861cbf18f2c"
+        "outputId": "b0fdbde5-89f3-4fc5-cfeb-fec972fb7a94"
       },
       "execution_count": 63,
       "outputs": [
@@ -2554,9 +2558,9 @@
           "data": {
             "text/plain": [
               "LanguageWorkedWith\n",
-              "Java;JavaScript;PHP;VB.NET;HTML;CSS                3\n",
-              "Assembly;C;C++;Java;Python;Delphi/Object Pascal    2\n",
-              "Java;JavaScript;PHP;SQL;TypeScript;HTML;CSS        2\n",
+              "C#;JavaScript;SQL;HTML;CSS     1383\n",
+              "JavaScript;PHP;SQL;HTML;CSS    1226\n",
+              "Java                            989\n",
               "Name: count, dtype: int64"
             ]
           },
@@ -2575,7 +2579,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "EKmOpf2TsP6n",
-        "outputId": "7d2c32a5-57fe-4913-edf9-d5a448797537"
+        "outputId": "84f0aa0b-17c8-460d-beb6-be66d39f885d"
       },
       "execution_count": 64,
       "outputs": [
@@ -2620,7 +2624,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "I4UcToECsTjv",
-        "outputId": "f4a7d684-3ba7-46e3-a73e-a5cb1734a22f"
+        "outputId": "09ef82cc-c085-46ec-cbdf-ca1173ab4840"
       },
       "execution_count": 65,
       "outputs": [
@@ -2629,9 +2633,9 @@
           "data": {
             "text/plain": [
               "LanguageDesireNextYear\n",
-              "C#;JavaScript;PHP;SQL;HTML;CSS    2\n",
-              "JavaScript;Python;HTML;CSS        1\n",
-              "C#;JavaScript;TypeScript          1\n",
+              "Python                                   718\n",
+              "C#;JavaScript;SQL;TypeScript;HTML;CSS    557\n",
+              "C#                                       522\n",
               "Name: count, dtype: int64"
             ]
           },
@@ -2650,7 +2654,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "XUG2NWJ8s4H8",
-        "outputId": "e193682b-b9f7-47bd-efce-9f320879d7e0"
+        "outputId": "c2dabf3a-a0ed-4c23-dd3d-88a1c8169a08"
       },
       "execution_count": 66,
       "outputs": [
@@ -2658,7 +2662,7 @@
           "output_type": "execute_result",
           "data": {
             "text/plain": [
-              "18"
+              "14147"
             ]
           },
           "metadata": {},
@@ -2688,7 +2692,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "DLb6YvEBtMSf",
-        "outputId": "2fe0ed67-c11d-4d35-8858-b25c72845596"
+        "outputId": "41be97db-b654-46d3-f219-56fe47b44367"
       },
       "execution_count": 68,
       "outputs": [
@@ -2697,9 +2701,9 @@
           "data": {
             "text/plain": [
               "LanguageDesireNextYear\n",
-              "Java;Python                                    4\n",
-              "JavaScript;PHP;SQL;Swift;CSS;Bash/Shell        2\n",
-              "C#;Java;JavaScript;Ruby;TypeScript;HTML;CSS    2\n",
+              "Python                                   878\n",
+              "C#;JavaScript;SQL;TypeScript;HTML;CSS    690\n",
+              "C#                                       629\n",
               "Name: count, dtype: int64"
             ]
           },
@@ -2718,7 +2722,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "2wEXX5jztUPN",
-        "outputId": "4330cb1e-41df-4e0f-e61c-31e118ad8e2c"
+        "outputId": "8e100a41-bf9c-41d2-c435-12e8d7c655c8"
       },
       "execution_count": 69,
       "outputs": [
@@ -2763,7 +2767,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "HTVOvj1itYyG",
-        "outputId": "28b28493-24d1-41c6-8c68-2d25ffe1c7bc"
+        "outputId": "40d7a14c-4ed8-4329-eba7-df76fe9775df"
       },
       "execution_count": 70,
       "outputs": [
@@ -2772,15 +2776,16 @@
           "data": {
             "text/plain": [
               "YearsCodingProf\n",
-              "3-5 years      26\n",
-              "0-2 years      20\n",
-              "6-8 years      12\n",
-              "9-11 years      9\n",
-              "12-14 years     6\n",
-              "18-20 years     3\n",
-              "21-23 years     2\n",
-              "24-26 years     2\n",
-              "15-17 years     1\n",
+              "0-2 years           22612\n",
+              "3-5 years           20883\n",
+              "6-8 years           11177\n",
+              "9-11 years           7456\n",
+              "12-14 years          4220\n",
+              "15-17 years          2987\n",
+              "18-20 years          2810\n",
+              "21-23 years          1352\n",
+              "30 or more years     1289\n",
+              "24-26 years           853\n",
               "Name: count, dtype: int64"
             ]
           },
@@ -2799,7 +2804,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "Hptn0b6Ut3kL",
-        "outputId": "f77083fd-d246-44c2-9d0e-4edb1932c8ad"
+        "outputId": "15d7cac1-3931-43c2-c7e1-41223a090aea"
       },
       "execution_count": 71,
       "outputs": [
@@ -2807,7 +2812,7 @@
           "output_type": "execute_result",
           "data": {
             "text/plain": [
-              "2"
+              "3349"
             ]
           },
           "metadata": {},
@@ -2836,7 +2841,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "OOeODKlBuI6-",
-        "outputId": "cafb7ce1-4645-4d8a-a182-be3890b9e445"
+        "outputId": "7c3b6c7e-c77a-44ad-ba4f-33b6496c34b4"
       },
       "execution_count": 73,
       "outputs": [
@@ -2845,15 +2850,16 @@
           "data": {
             "text/plain": [
               "YearsCodingProf\n",
-              "3-5 years      27\n",
-              "0-2 years      21\n",
-              "6-8 years      12\n",
-              "9-11 years      9\n",
-              "12-14 years     6\n",
-              "18-20 years     3\n",
-              "21-23 years     2\n",
-              "24-26 years     2\n",
-              "15-17 years     1\n",
+              "3-5 years           23773\n",
+              "0-2 years           22781\n",
+              "6-8 years           11274\n",
+              "9-11 years           7527\n",
+              "12-14 years          4267\n",
+              "15-17 years          3007\n",
+              "18-20 years          2841\n",
+              "21-23 years          1365\n",
+              "30 or more years     1294\n",
+              "24-26 years           856\n",
               "Name: count, dtype: int64"
             ]
           },
@@ -2872,7 +2878,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "iGiq0aEouASu",
-        "outputId": "802c8767-313f-4da3-848c-b7dd2d087098"
+        "outputId": "b726a39a-800f-4859-c6fe-35b7c2a6e369"
       },
       "execution_count": 74,
       "outputs": [
@@ -2908,7 +2914,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "mWblz6_9uCZR",
-        "outputId": "096eb6ac-019e-497a-e44d-1d3f523dadc0"
+        "outputId": "08242a43-b0ef-4fab-86c5-4a0675223385"
       },
       "execution_count": 75,
       "outputs": [
@@ -2917,15 +2923,16 @@
           "data": {
             "text/plain": [
               "YearsCoding\n",
-              "6-8 years           17\n",
-              "3-5 years           15\n",
-              "9-11 years          15\n",
-              "0-2 years           11\n",
-              "15-17 years          7\n",
-              "12-14 years          6\n",
-              "24-26 years          5\n",
-              "18-20 years          4\n",
-              "30 or more years     3\n",
+              "3-5 years           19100\n",
+              "6-8 years           16537\n",
+              "9-11 years          10578\n",
+              "0-2 years            8022\n",
+              "12-14 years          7069\n",
+              "15-17 years          5459\n",
+              "18-20 years          4472\n",
+              "30 or more years     3136\n",
+              "21-23 years          2377\n",
+              "24-26 years          1671\n",
               "Name: count, dtype: int64"
             ]
           },
@@ -2944,7 +2951,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "Q5hqJopHuWkK",
-        "outputId": "c3cacd20-713f-4093-975e-409fa0131072"
+        "outputId": "94d09903-83b4-4456-f8c0-7ce874035b9e"
       },
       "execution_count": 76,
       "outputs": [
@@ -2952,7 +2959,7 @@
           "output_type": "execute_result",
           "data": {
             "text/plain": [
-              "0"
+              "105"
             ]
           },
           "metadata": {},
@@ -2982,7 +2989,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "CtrovjDBuxcb",
-        "outputId": "32cbfcd0-549d-408b-e674-8fcf6e071bf5"
+        "outputId": "57aa4c7b-bb7c-43f2-f193-0f4f8890c8fc"
       },
       "execution_count": 78,
       "outputs": [
@@ -2991,15 +2998,16 @@
           "data": {
             "text/plain": [
               "YearsCoding\n",
-              "6-8 years           17\n",
-              "3-5 years           15\n",
-              "9-11 years          15\n",
-              "0-2 years           11\n",
-              "15-17 years          7\n",
-              "12-14 years          6\n",
-              "24-26 years          5\n",
-              "18-20 years          4\n",
-              "30 or more years     3\n",
+              "3-5 years           19135\n",
+              "6-8 years           16554\n",
+              "9-11 years          10585\n",
+              "0-2 years            8043\n",
+              "12-14 years          7077\n",
+              "15-17 years          5462\n",
+              "18-20 years          4476\n",
+              "30 or more years     3144\n",
+              "21-23 years          2378\n",
+              "24-26 years          1671\n",
               "Name: count, dtype: int64"
             ]
           },
@@ -3018,7 +3026,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "ZB_36JfBukFp",
-        "outputId": "f78aac0f-06ca-41d4-9812-07983198fd31"
+        "outputId": "a65204a8-451e-4319-d149-e516f603fd51"
       },
       "execution_count": 79,
       "outputs": [
@@ -3063,7 +3071,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "yj_CIgyOuqL5",
-        "outputId": "332ab12a-de40-4409-af9d-75f8e3f516df"
+        "outputId": "b8075a13-4fa9-4108-a279-ef96368a8a33"
       },
       "execution_count": 80,
       "outputs": [
@@ -3072,10 +3080,10 @@
           "data": {
             "text/plain": [
               "OperatingSystem\n",
-              "Windows        32\n",
-              "MacOS          20\n",
-              "Linux-based    15\n",
-              "BSD/Unix        1\n",
+              "Windows        34268\n",
+              "MacOS          18638\n",
+              "Linux-based    16069\n",
+              "BSD/Unix         139\n",
               "Name: count, dtype: int64"
             ]
           },
@@ -3094,7 +3102,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "GfIBSbjNu-6f",
-        "outputId": "a1fcd7b1-bcb3-438d-c43b-9295a032256b"
+        "outputId": "4f0bbe51-f59b-4c8f-f529-5ed6eaf497eb"
       },
       "execution_count": 81,
       "outputs": [
@@ -3102,7 +3110,7 @@
           "output_type": "execute_result",
           "data": {
             "text/plain": [
-              "15"
+              "10374"
             ]
           },
           "metadata": {},
@@ -3132,7 +3140,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "oeSMf-SIvTwZ",
-        "outputId": "41995c08-0fba-4da4-ea5e-fe98234e7c1b"
+        "outputId": "531251f4-9d2f-45dd-cd88-b5a6080bd442"
       },
       "execution_count": 83,
       "outputs": [
@@ -3141,10 +3149,10 @@
           "data": {
             "text/plain": [
               "OperatingSystem\n",
-              "Windows        44\n",
-              "MacOS          21\n",
-              "Linux-based    17\n",
-              "BSD/Unix        1\n",
+              "Windows        39475\n",
+              "MacOS          21433\n",
+              "Linux-based    18406\n",
+              "BSD/Unix         174\n",
               "Name: count, dtype: int64"
             ]
           },
@@ -3163,7 +3171,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "FofzEDQkvWll",
-        "outputId": "7577bd58-594f-4605-d187-a96fcde66640"
+        "outputId": "aa7e6cd1-4d3a-4644-896a-85bf93c179d3"
       },
       "execution_count": 84,
       "outputs": [
@@ -3208,7 +3216,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "EjK1EthMvZmc",
-        "outputId": "a687b413-53ef-4f3a-e898-2f73ffd5ba80"
+        "outputId": "a02b91e8-a812-46bd-bf55-27412fcec4e6"
       },
       "execution_count": 85,
       "outputs": [
@@ -3217,9 +3225,9 @@
           "data": {
             "text/plain": [
               "SalaryType\n",
-              "Monthly    25\n",
-              "Yearly     22\n",
-              "Weekly      1\n",
+              "Monthly    26201\n",
+              "Yearly     22541\n",
+              "Weekly      2248\n",
               "Name: count, dtype: int64"
             ]
           },
@@ -3238,7 +3246,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "P5qYCnc2wn4T",
-        "outputId": "f2fefea0-c426-412e-c3d3-37ee1ffa0ad5"
+        "outputId": "4bede1b2-573a-486a-c1e2-95005aeb3925"
       },
       "execution_count": 86,
       "outputs": [
@@ -3246,7 +3254,7 @@
           "output_type": "execute_result",
           "data": {
             "text/plain": [
-              "35"
+              "28498"
             ]
           },
           "metadata": {},
@@ -3275,7 +3283,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "YnB1-anYws9D",
-        "outputId": "8adcc589-028f-4f8c-d25c-125961fbcda2"
+        "outputId": "cf02cb6d-7140-4d93-b043-bae4ab147a5e"
       },
       "execution_count": 88,
       "outputs": [
@@ -3284,9 +3292,9 @@
           "data": {
             "text/plain": [
               "SalaryType\n",
-              "Monthly    42\n",
-              "Yearly     39\n",
-              "Weekly      2\n",
+              "Monthly    40953\n",
+              "Yearly     34333\n",
+              "Weekly      4202\n",
               "Name: count, dtype: int64"
             ]
           },
@@ -3305,7 +3313,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "r_EK-CI5wvUc",
-        "outputId": "7df61c2e-940a-495f-a789-97fb9625cb63"
+        "outputId": "ad4c489b-22d4-44eb-aa15-1251665bb57d"
       },
       "execution_count": 89,
       "outputs": [
@@ -3350,7 +3358,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "g21xj2qGwycm",
-        "outputId": "12045289-1f13-4d9c-8dc8-e54711697b17"
+        "outputId": "786606c7-bf51-43a1-f450-28f265d56dbd"
       },
       "execution_count": 90,
       "outputs": [
@@ -3359,16 +3367,16 @@
           "data": {
             "text/plain": [
               "Currency\n",
-              "U.S. dollars ($)                20\n",
-              "Euros (€)                     11\n",
-              "British pounds sterling (£)     7\n",
-              "Indian rupees (‚Çπ)              7\n",
-              "Swedish kroner (SEK)             3\n",
-              "Russian rubles (‚ÇΩ)             3\n",
-              "Polish złoty (zł)              2\n",
-              "Chinese yuan renminbi (¥)       2\n",
-              "South African rands (R)          1\n",
-              "Australian dollars (A$)          1\n",
+              "U.S. dollars ($)               20599\n",
+              "Euros (€)                      15201\n",
+              "Indian rupees (₹)               7908\n",
+              "British pounds sterling (£)     4856\n",
+              "Canadian dollars (C$)           2535\n",
+              "Russian rubles (₽)              1768\n",
+              "Brazilian reais (R$)            1663\n",
+              "Australian dollars (A$)         1571\n",
+              "Polish złoty (zł)               1434\n",
+              "Swedish kroner (SEK)             864\n",
               "Name: count, dtype: int64"
             ]
           },
@@ -3387,7 +3395,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "CFcuvPTWxIO_",
-        "outputId": "25844916-8d3e-4146-ff12-72c5045246e5"
+        "outputId": "8032070d-5ed6-448c-b601-3cc36a46a471"
       },
       "execution_count": 91,
       "outputs": [
@@ -3395,7 +3403,7 @@
           "output_type": "execute_result",
           "data": {
             "text/plain": [
-              "23"
+              "17483"
             ]
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           "metadata": {},
@@ -3435,7 +3443,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "slvL5FMsxWCx",
-        "outputId": "a5d0c36c-a058-43cf-8be0-7ae599156fd9"
+        "outputId": "9b4b3d51-c46f-46f4-d387-b13631449bc1"
       },
       "execution_count": 94,
       "outputs": [
@@ -3444,16 +3452,16 @@
           "data": {
             "text/plain": [
               "Currency\n",
-              "U.S. dollars ($)                27\n",
-              "Euros (€)                     16\n",
-              "British pounds sterling (£)    10\n",
-              "Indian rupees (‚Çπ)              8\n",
-              "Chinese yuan renminbi (¥)       5\n",
-              "Swedish kroner (SEK)             4\n",
-              "Russian rubles (‚ÇΩ)             4\n",
-              "Polish złoty (zł)              2\n",
-              "Brazilian reais (R$)             2\n",
-              "South African rands (R)          1\n",
+              "U.S. dollars ($)               26356\n",
+              "Euros (€)                      19465\n",
+              "Indian rupees (₹)              10152\n",
+              "British pounds sterling (£)     6194\n",
+              "Canadian dollars (C$)           3289\n",
+              "Russian rubles (₽)              2340\n",
+              "Brazilian reais (R$)            2122\n",
+              "Australian dollars (A$)         1970\n",
+              "Polish złoty (zł)               1856\n",
+              "Swedish kroner (SEK)            1101\n",
               "Name: count, dtype: int64"
             ]
           },
@@ -3472,7 +3480,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "5A2t9JscxYgE",
-        "outputId": "2287575f-6df5-4fb1-ae47-5936b3e5f2d4"
+        "outputId": "dd31f006-e0c8-4978-9f18-13c0972b0052"
       },
       "execution_count": 95,
       "outputs": [
@@ -3522,9 +3530,9 @@
           "height": 248
         },
         "id": "RYdkvEksxbOA",
-        "outputId": "40835601-abb7-4a4a-d88e-faaa109ec63f"
+        "outputId": "12d797a0-57bc-444b-c59a-7da80af62c6a"
       },
-      "execution_count": 98,
+      "execution_count": 96,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -3558,9 +3566,9 @@
               "1  The survey was an appropriate length                NaN   \n",
               "2                                   NaN                NaN   \n",
               "\n",
-              "   TimeFullyProductive    UndergradMajor                             UpdateCV  \\\n",
-              "1  One to three months     Other Science  I saw an employer’s advertisement   \n",
-              "2                  NaN  Computer Science                                  NaN   \n",
+              "   TimeFullyProductive    UndergradMajor                           UpdateCV  \\\n",
+              "1  One to three months     Other Science  I saw an employer’s advertisement   \n",
+              "2                  NaN  Computer Science                                NaN   \n",
               "\n",
               "   VersionControl                WakeTime       YearsCoding YearsCodingProf  \n",
               "1  Git;Subversion  Between 6:01 - 7:00 AM  30 or more years     18-20 years  \n",
@@ -3570,7 +3578,7 @@
             ],
             "text/html": [
               "\n",
-              "  <div id=\"df-332043ed-3ee3-4d41-8028-fa027c92218d\" class=\"colab-df-container\">\n",
+              "  <div id=\"df-57131b10-ea85-43f3-b3e3-63c5c912a5e7\" class=\"colab-df-container\">\n",
               "    <div>\n",
               "<style scoped>\n",
               "    .dataframe tbody tr th:only-of-type {\n",
@@ -3631,7 +3639,7 @@
               "      <td>NaN</td>\n",
               "      <td>One to three months</td>\n",
               "      <td>Other Science</td>\n",
-              "      <td>I saw an employer’s advertisement</td>\n",
+              "      <td>I saw an employer’s advertisement</td>\n",
               "      <td>Git;Subversion</td>\n",
               "      <td>Between 6:01 - 7:00 AM</td>\n",
               "      <td>30 or more years</td>\n",
@@ -3668,7 +3676,7 @@
               "    <div class=\"colab-df-buttons\">\n",
               "\n",
               "  <div class=\"colab-df-container\">\n",
-              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-332043ed-3ee3-4d41-8028-fa027c92218d')\"\n",
+              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-57131b10-ea85-43f3-b3e3-63c5c912a5e7')\"\n",
               "            title=\"Convert this dataframe to an interactive table.\"\n",
               "            style=\"display:none;\">\n",
               "\n",
@@ -3720,12 +3728,12 @@
               "\n",
               "    <script>\n",
               "      const buttonEl =\n",
-              "        document.querySelector('#df-332043ed-3ee3-4d41-8028-fa027c92218d button.colab-df-convert');\n",
+              "        document.querySelector('#df-57131b10-ea85-43f3-b3e3-63c5c912a5e7 button.colab-df-convert');\n",
               "      buttonEl.style.display =\n",
               "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
               "\n",
               "      async function convertToInteractive(key) {\n",
-              "        const element = document.querySelector('#df-332043ed-3ee3-4d41-8028-fa027c92218d');\n",
+              "        const element = document.querySelector('#df-57131b10-ea85-43f3-b3e3-63c5c912a5e7');\n",
               "        const dataTable =\n",
               "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
               "                                                    [key], {});\n",
@@ -3745,8 +3753,8 @@
               "  </div>\n",
               "\n",
               "\n",
-              "<div id=\"df-fb82f633-0707-43e6-b8f4-3893f4b0f68a\">\n",
-              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-fb82f633-0707-43e6-b8f4-3893f4b0f68a')\"\n",
+              "<div id=\"df-23e3ddaf-31b3-440f-b543-f9ea1ae41d78\">\n",
+              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-23e3ddaf-31b3-440f-b543-f9ea1ae41d78')\"\n",
               "            title=\"Suggest charts\"\n",
               "            style=\"display:none;\">\n",
               "\n",
@@ -3865,7 +3873,7 @@
               "    }\n",
               "    (() => {\n",
               "      let quickchartButtonEl =\n",
-              "        document.querySelector('#df-fb82f633-0707-43e6-b8f4-3893f4b0f68a button');\n",
+              "        document.querySelector('#df-23e3ddaf-31b3-440f-b543-f9ea1ae41d78 button');\n",
               "      quickchartButtonEl.style.display =\n",
               "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
               "    })();\n",
@@ -3880,7 +3888,7 @@
             }
           },
           "metadata": {},
-          "execution_count": 98
+          "execution_count": 96
         }
       ]
     },
@@ -3895,30 +3903,30 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "iOeLpbNu5xYD",
-        "outputId": "a15e2a35-355e-4ef9-ba76-d450eb22ee59"
+        "outputId": "0ce618a9-8d94-4ce8-ced7-72bdc53f1c8a"
       },
-      "execution_count": 100,
+      "execution_count": 97,
       "outputs": [
         {
           "output_type": "execute_result",
           "data": {
             "text/plain": [
               "SalaryUSD\n",
-              "120000.0    3\n",
-              "30000.0     2\n",
-              "115000.0    2\n",
-              "70841.0     1\n",
-              "36000.0     1\n",
-              "90000.0     1\n",
-              "73428.0     1\n",
-              "128507.0    1\n",
-              "13212.0     1\n",
-              "48955.0     1\n",
+              "0.0          842\n",
+              "120000.0     524\n",
+              "100000.0     497\n",
+              "80000.0      396\n",
+              "1000000.0    382\n",
+              "110000.0     371\n",
+              "90000.0      364\n",
+              "150000.0     357\n",
+              "60000.0      351\n",
+              "75000.0      337\n",
               "Name: count, dtype: int64"
             ]
           },
           "metadata": {},
-          "execution_count": 100
+          "execution_count": 97
         }
       ]
     },
@@ -3932,19 +3940,19 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "ViidUYaW62ha",
-        "outputId": "e7453826-3b4a-4854-ce38-451df5352e17"
+        "outputId": "7a6f9691-fe96-4a19-b406-8e1baf4776b9"
       },
-      "execution_count": 101,
+      "execution_count": 98,
       "outputs": [
         {
           "output_type": "execute_result",
           "data": {
             "text/plain": [
-              "36"
+              "31786"
             ]
           },
           "metadata": {},
-          "execution_count": 101
+          "execution_count": 98
         }
       ]
     },
@@ -3957,7 +3965,7 @@
       "metadata": {
         "id": "1PuVMW007JQx"
       },
-      "execution_count": 106,
+      "execution_count": 99,
       "outputs": []
     },
     {
@@ -3970,30 +3978,30 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "B14qBmwx7Mm2",
-        "outputId": "f46363e7-7168-41b5-a69a-caa2f45b4498"
+        "outputId": "aa8d5173-d3c0-4a73-b6db-6894ca3a62a6"
       },
-      "execution_count": 104,
+      "execution_count": 100,
       "outputs": [
         {
           "output_type": "execute_result",
           "data": {
             "text/plain": [
-              "DevType        Country       \n",
-              "Developer      United States     146687.5\n",
-              "               Ireland           128507.0\n",
-              "Non developer  India             123984.0\n",
-              "Developer      Australia          95968.0\n",
-              "               Colombia           64116.0\n",
-              "               Germany            61191.5\n",
-              "               Sweden             60257.5\n",
-              "               China              52604.0\n",
-              "               Greece             51408.0\n",
-              "               United Kingdom     48144.8\n",
+              "DevType        Country      \n",
+              "Student        Saudi Arabia     1500000.0\n",
+              "Developer      Andorra           525089.5\n",
+              "Manager        Hungary           516000.0\n",
+              "               Netherlands       507175.0\n",
+              "Non developer  Algeria           360000.0\n",
+              "               Cyprus            293736.0\n",
+              "Developer      Liechtenstein     284028.0\n",
+              "Student        Finland           272212.0\n",
+              "Manager        Denmark           262920.6\n",
+              "Student        Israel            256522.4\n",
               "Name: SalaryUSD, dtype: float64"
             ]
           },
           "metadata": {},
-          "execution_count": 104
+          "execution_count": 100
         }
       ]
     },
@@ -4006,7 +4014,7 @@
       "metadata": {
         "id": "vyFU-a0q7hYG"
       },
-      "execution_count": 107,
+      "execution_count": 101,
       "outputs": []
     },
     {
@@ -4018,7 +4026,7 @@
       "metadata": {
         "id": "JZiz2R937nDK"
       },
-      "execution_count": 109,
+      "execution_count": 102,
       "outputs": []
     },
     {
@@ -4030,7 +4038,7 @@
       "metadata": {
         "id": "Pi_YcfwD8FK5"
       },
-      "execution_count": 111,
+      "execution_count": 103,
       "outputs": []
     },
     {
@@ -4043,30 +4051,30 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "aNWX4Zok8MRy",
-        "outputId": "d0bef784-50b0-478f-b188-bc5218800be9"
+        "outputId": "add976e1-4436-4bbc-8ad8-2147467fa56f"
       },
-      "execution_count": 112,
+      "execution_count": 104,
       "outputs": [
         {
           "output_type": "execute_result",
           "data": {
             "text/plain": [
-              "YearsCodingProf  DevType        Country       \n",
-              "21-23 years      Developer      United States     250000.000000\n",
-              "0-2 years        Developer      United States     244000.000000\n",
-              "15-17 years      Developer      Ireland           128507.000000\n",
-              "0-2 years        Non developer  India             123984.000000\n",
-              "9-11 years       Developer      United States     115000.000000\n",
-              "12-14 years      Developer      Australia          95968.000000\n",
-              "18-20 years      Developer      United States      95000.000000\n",
-              "6-8 years        Developer      United States      91333.333333\n",
-              "3-5 years        Developer      China              85708.000000\n",
-              "9-11 years       Developer      United Kingdom     82648.000000\n",
+              "YearsCodingProf  DevType        Country                             \n",
+              "9-11 years       Student        Saudi Arabia                            1500000.0\n",
+              "12-14 years      Non developer  Norway                                  1000000.0\n",
+              "                 Student        Switzerland                             1000000.0\n",
+              "15-17 years      Non developer  Australia                               1000000.0\n",
+              "                                New Zealand                             1000000.0\n",
+              "21-23 years      Developer      Japan                                   1000000.0\n",
+              "                                Venezuela, Bolivarian Republic of...    1000000.0\n",
+              "                 Non developer  Sweden                                  1000000.0\n",
+              "                 Student        Finland                                 1000000.0\n",
+              "24-26 years      Manager        Canada                                  1000000.0\n",
               "Name: SalaryUSD, dtype: float64"
             ]
           },
           "metadata": {},
-          "execution_count": 112
+          "execution_count": 104
         }
       ]
     },
@@ -4078,7 +4086,7 @@
       "metadata": {
         "id": "RV4purXk8YwP"
       },
-      "execution_count": 113,
+      "execution_count": 105,
       "outputs": []
     },
     {
@@ -4101,24 +4109,27 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "NO728mSY8bEC",
-        "outputId": "651a6720-e530-4e3a-b683-a126dfb43457"
+        "outputId": "19fe11c8-99e1-442b-8427-63085e15d2d3"
       },
-      "execution_count": 114,
+      "execution_count": 106,
       "outputs": [
         {
           "output_type": "execute_result",
           "data": {
             "text/plain": [
               "Age\n",
-              "25 - 34 years old    22\n",
-              "35 - 44 years old    13\n",
-              "18 - 24 years old    13\n",
-              "45 - 54 years old     1\n",
+              "25 - 34 years old     30969\n",
+              "18 - 24 years old     14847\n",
+              "35 - 44 years old     10980\n",
+              "45 - 54 years old      3072\n",
+              "Under 18 years old     1549\n",
+              "55 - 64 years old       865\n",
+              "65 years or older       144\n",
               "Name: count, dtype: int64"
             ]
           },
           "metadata": {},
-          "execution_count": 114
+          "execution_count": 106
         }
       ]
     },
@@ -4132,19 +4143,19 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "SGAuNMgn8muK",
-        "outputId": "621e8e5e-dc06-4bf2-e13d-c206896e8e30"
+        "outputId": "f69aa654-c028-461f-cce0-4e29d4d8dd22"
       },
-      "execution_count": 115,
+      "execution_count": 107,
       "outputs": [
         {
           "output_type": "execute_result",
           "data": {
             "text/plain": [
-              "10"
+              "16374"
             ]
           },
           "metadata": {},
-          "execution_count": 115
+          "execution_count": 107
         }
       ]
     },
@@ -4156,7 +4167,7 @@
       "metadata": {
         "id": "olP6Db5J8pbD"
       },
-      "execution_count": 116,
+      "execution_count": 108,
       "outputs": []
     },
     {
@@ -4169,24 +4180,27 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "Bk5V6oIM8u3z",
-        "outputId": "d0eef3a7-d251-4191-bdaa-4fbb2c6ea163"
+        "outputId": "29a43279-868a-40fc-f67d-665be3d9d638"
       },
-      "execution_count": 118,
+      "execution_count": 109,
       "outputs": [
         {
           "output_type": "execute_result",
           "data": {
             "text/plain": [
               "Age\n",
-              "25 - 34 years old    26\n",
-              "35 - 44 years old    16\n",
-              "18 - 24 years old    16\n",
-              "45 - 54 years old     1\n",
+              "25 - 34 years old     38797\n",
+              "18 - 24 years old     19074\n",
+              "35 - 44 years old     13665\n",
+              "45 - 54 years old      3821\n",
+              "Under 18 years old     2165\n",
+              "55 - 64 years old      1093\n",
+              "65 years or older       185\n",
               "Name: count, dtype: int64"
             ]
           },
           "metadata": {},
-          "execution_count": 118
+          "execution_count": 109
         }
       ]
     },
@@ -4200,9 +4214,9 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "yRa2gNv68riy",
-        "outputId": "27bbe03b-c55d-423e-b530-8c2cdc53bc09"
+        "outputId": "ec3e3cb1-9b10-4f79-e673-508f252c5238"
       },
-      "execution_count": 117,
+      "execution_count": 110,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -4212,7 +4226,7 @@
             ]
           },
           "metadata": {},
-          "execution_count": 117
+          "execution_count": 110
         }
       ]
     },
@@ -4244,19 +4258,19 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "NK5Ynajx8vzu",
-        "outputId": "6d9b5b48-a974-4889-bb4a-218be23f9b70"
+        "outputId": "89d23747-f0be-4669-cd8f-b63accd946b2"
       },
-      "execution_count": 119,
+      "execution_count": 111,
       "outputs": [
         {
           "output_type": "execute_result",
           "data": {
             "text/plain": [
-              "0"
+              "1549"
             ]
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           "metadata": {},
-          "execution_count": 119
+          "execution_count": 111
         }
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@@ -4270,25 +4284,29 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "ngTqWgm09HYP",
-        "outputId": "287f4077-2189-4657-bace-f14eb6c94d07"
+        "outputId": "d3d5a98a-578e-49e4-b38b-55348b197a70"
       },
-      "execution_count": 120,
+      "execution_count": 112,
       "outputs": [
         {
           "output_type": "execute_result",
           "data": {
             "text/plain": [
               "FormalEducation\n",
-              "Bachelor’s degree (BA, BS, B.Eng., etc.)                                            25\n",
-              "Master’s degree (MA, MS, M.Eng., MBA, etc.)                                         17\n",
-              "Some college/university study without earning a degree                                12\n",
-              "Secondary school (e.g. American high school, German Realschule or Gymnasium, etc.)     3\n",
-              "Associate degree                                                                       2\n",
+              "Bachelor’s degree (BA, BS, B.Eng., etc.)                                              36010\n",
+              "Master’s degree (MA, MS, M.Eng., MBA, etc.)                                           17529\n",
+              "Some college/university study without earning a degree                                 9737\n",
+              "Secondary school (e.g. American high school, German Realschule or Gymnasium, etc.)     7088\n",
+              "Associate degree                                                                       2407\n",
+              "Other doctoral degree (Ph.D, Ed.D., etc.)                                              1754\n",
+              "Primary/elementary school                                                              1217\n",
+              "Professional degree (JD, MD, etc.)                                                     1073\n",
+              "I never completed any formal education                                                  436\n",
               "Name: count, dtype: int64"
             ]
           },
           "metadata": {},
-          "execution_count": 120
+          "execution_count": 112
         }
       ]
     },
@@ -4301,7 +4319,7 @@
       "metadata": {
         "id": "3eoaxYJb9Jo0"
       },
-      "execution_count": 121,
+      "execution_count": 113,
       "outputs": []
     },
     {
@@ -4335,7 +4353,7 @@
       "metadata": {
         "id": "lhdFv5Ym9QIX"
       },
-      "execution_count": 122,
+      "execution_count": 114,
       "outputs": []
     },
     {
@@ -4346,7 +4364,7 @@
       "metadata": {
         "id": "NewXTlW79TrK"
       },
-      "execution_count": 123,
+      "execution_count": 115,
       "outputs": []
     },
     {
@@ -4358,7 +4376,7 @@
       "metadata": {
         "id": "i-KubSAV9odW"
       },
-      "execution_count": 124,
+      "execution_count": 116,
       "outputs": []
     },
     {
@@ -4371,23 +4389,26 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "JTnp5YHk9rjH",
-        "outputId": "510b0aee-738f-4c48-c422-40098e033a85"
+        "outputId": "90ab89d8-845e-4376-acd3-3c11ed95ec57"
       },
-      "execution_count": 125,
+      "execution_count": 117,
       "outputs": [
         {
           "output_type": "execute_result",
           "data": {
             "text/plain": [
               "EdLevel\n",
-              "Bachelors    42\n",
-              "No Degree    15\n",
-              "Associate     2\n",
+              "Bachelors       37559\n",
+              "No Degree       18478\n",
+              "Masters         17529\n",
+              "Associate        2407\n",
+              "Doctorate        1754\n",
+              "Professional     1073\n",
               "Name: count, dtype: int64"
             ]
           },
           "metadata": {},
-          "execution_count": 125
+          "execution_count": 117
         }
       ]
     },
@@ -4401,9 +4422,9 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "pifoZPD19z-2",
-        "outputId": "d9736b79-6218-4775-f7b4-b28bf08aa25d"
+        "outputId": "af72cc1a-0ed8-4b09-f441-fe683985a175"
       },
-      "execution_count": 129,
+      "execution_count": 118,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -4413,7 +4434,7 @@
             ]
           },
           "metadata": {},
-          "execution_count": 129
+          "execution_count": 118
         }
       ]
     },
@@ -4443,7 +4464,7 @@
       "metadata": {
         "id": "uyXEowD39uAh"
       },
-      "execution_count": 126,
+      "execution_count": 119,
       "outputs": []
     },
     {
@@ -4457,9 +4478,9 @@
           "height": 933
         },
         "id": "uK6hUeN_9xsD",
-        "outputId": "d3596b49-d62b-4d40-9100-6049ad3f24c4"
+        "outputId": "3364b1fe-52c8-4677-8c77-4a8ca7a51aea"
       },
-      "execution_count": 130,
+      "execution_count": 120,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -4467,93 +4488,93 @@
             "text/plain": [
               "    Respondent Hobby OpenSource         Country         Student  \\\n",
               "1            3   Yes        Yes  United Kingdom              No   \n",
+              "2            4   Yes        Yes   United States              No   \n",
+              "3            5    No         No   United States              No   \n",
               "4            7   Yes         No    South Africa  Yes, part-time   \n",
               "5            8   Yes         No  United Kingdom              No   \n",
               "6            9   Yes        Yes   United States              No   \n",
+              "7           10   Yes        Yes         Nigeria              No   \n",
               "8           11   Yes        Yes   United States              No   \n",
               "13          20    No         No           India              No   \n",
               "14          21    No         No     Netherlands  Yes, full-time   \n",
-              "17          27   Yes         No          Sweden              No   \n",
-              "18          29   Yes        Yes           India  Yes, full-time   \n",
-              "20          33   Yes        Yes       Australia              No   \n",
               "\n",
               "            Employment    EdLevel    UndergradMajor               CompanySize  \\\n",
               "1   Employed full-time  Bachelors     Other Science  10,000 or more employees   \n",
+              "2   Employed full-time  Associate  Computer Science        20 to 99 employees   \n",
+              "3   Employed full-time  Bachelors  Computer Science      100 to 499 employees   \n",
               "4   Employed full-time  No Degree  Computer Science  10,000 or more employees   \n",
               "5   Employed full-time  Bachelors  Computer Science        10 to 19 employees   \n",
               "6   Employed full-time  No Degree  Computer Science  10,000 or more employees   \n",
+              "7   Employed full-time  Bachelors  Computer Science        10 to 19 employees   \n",
               "8   Employed full-time  No Degree  Arts and Science      100 to 499 employees   \n",
               "13  Employed full-time  Bachelors       Engineering        20 to 99 employees   \n",
               "14  Employed full-time  No Degree          No major        20 to 99 employees   \n",
-              "17  Employed full-time  Bachelors          Business        10 to 19 employees   \n",
-              "18  Employed full-time  Bachelors          No major  10,000 or more employees   \n",
-              "20  Employed full-time  Bachelors       Engineering  1,000 to 4,999 employees   \n",
               "\n",
-              "      DevType  ...                    Exercise          Gender  \\\n",
-              "1   Developer  ...   Daily or almost every day            Male   \n",
-              "4   Developer  ...        3 - 4 times per week            Male   \n",
-              "5   Developer  ...        1 - 2 times per week            Male   \n",
-              "6   Developer  ...  I don't typically exercise            Male   \n",
-              "8   Developer  ...  I don't typically exercise            Male   \n",
-              "13  Developer  ...  I don't typically exercise  Non-conforming   \n",
-              "14  Developer  ...   Daily or almost every day            Male   \n",
-              "17  Developer  ...        3 - 4 times per week            Male   \n",
-              "18  Developer  ...   Daily or almost every day          Female   \n",
-              "20  Developer  ...        3 - 4 times per week            Male   \n",
+              "          DevType  ...                    Exercise          Gender  \\\n",
+              "1       Developer  ...   Daily or almost every day            Male   \n",
+              "2         Manager  ...                         NaN  Non-conforming   \n",
+              "3       Developer  ...  I don't typically exercise            Male   \n",
+              "4       Developer  ...        3 - 4 times per week            Male   \n",
+              "5       Developer  ...        1 - 2 times per week            Male   \n",
+              "6       Developer  ...  I don't typically exercise            Male   \n",
+              "7   Non developer  ...        1 - 2 times per week          Female   \n",
+              "8       Developer  ...  I don't typically exercise            Male   \n",
+              "13      Developer  ...  I don't typically exercise  Non-conforming   \n",
+              "14      Developer  ...   Daily or almost every day            Male   \n",
               "\n",
               "           SexualOrientation  \\\n",
               "1   Straight or heterosexual   \n",
+              "2                        NaN   \n",
+              "3   Straight or heterosexual   \n",
               "4   Straight or heterosexual   \n",
               "5   Straight or heterosexual   \n",
               "6   Straight or heterosexual   \n",
+              "7                        NaN   \n",
               "8   Straight or heterosexual   \n",
               "13                       NaN   \n",
               "14                       NaN   \n",
-              "17                       NaN   \n",
-              "18                       NaN   \n",
-              "20  Straight or heterosexual   \n",
               "\n",
               "                                     EducationParents  \\\n",
-              "1          Bachelor’s degree (BA, BS, B.Eng., etc.)   \n",
+              "1            Bachelor’s degree (BA, BS, B.Eng., etc.)   \n",
+              "2                                                 NaN   \n",
+              "3   Some college/university study without earning ...   \n",
               "4   Some college/university study without earning ...   \n",
               "5   Secondary school (e.g. American high school, G...   \n",
-              "6       Master’s degree (MA, MS, M.Eng., MBA, etc.)   \n",
+              "6         Master’s degree (MA, MS, M.Eng., MBA, etc.)   \n",
+              "7                           Primary/elementary school   \n",
               "8   Some college/university study without earning ...   \n",
               "13                                                NaN   \n",
               "14                                   Associate degree   \n",
-              "17         Bachelor’s degree (BA, BS, B.Eng., etc.)   \n",
-              "18  Some college/university study without earning ...   \n",
-              "20         Bachelor’s degree (BA, BS, B.Eng., etc.)   \n",
               "\n",
               "                RaceEthnicity                Age Dependents  MilitaryUS  \\\n",
               "1   White or European descent  35 - 44 years old        Yes         NaN   \n",
+              "2   White or European descent  35 - 44 years old        NaN         NaN   \n",
+              "3   White or European descent  35 - 44 years old         No          No   \n",
               "4   White or European descent  18 - 24 years old        Yes         NaN   \n",
               "5   White or European descent  18 - 24 years old         No         NaN   \n",
               "6   White or European descent  18 - 24 years old         No          No   \n",
+              "7    Black or African descent  25 - 34 years old         No         NaN   \n",
               "8   White or European descent  35 - 44 years old        Yes          No   \n",
               "13                South Asian  35 - 44 years old        NaN         NaN   \n",
               "14  White or European descent  18 - 24 years old         No         NaN   \n",
-              "17  White or European descent  35 - 44 years old        Yes         NaN   \n",
-              "18                South Asian  35 - 44 years old        NaN         NaN   \n",
-              "20                South Asian  35 - 44 years old        Yes         NaN   \n",
               "\n",
               "                           SurveyTooLong                  SurveyEasy  \n",
               "1   The survey was an appropriate length               Somewhat easy  \n",
+              "2                                    NaN                         NaN  \n",
+              "3   The survey was an appropriate length               Somewhat easy  \n",
               "4   The survey was an appropriate length               Somewhat easy  \n",
               "5   The survey was an appropriate length               Somewhat easy  \n",
               "6   The survey was an appropriate length               Somewhat easy  \n",
+              "7                The survey was too long          Somewhat difficult  \n",
               "8   The survey was an appropriate length                   Very easy  \n",
               "13                                   NaN                         NaN  \n",
               "14  The survey was an appropriate length  Neither easy nor difficult  \n",
-              "17               The survey was too long          Somewhat difficult  \n",
-              "18               The survey was too long              Very difficult  \n",
-              "20               The survey was too long  Neither easy nor difficult  \n",
               "\n",
               "[10 rows x 129 columns]"
             ],
             "text/html": [
               "\n",
-              "  <div id=\"df-5b952dc3-8cd2-4fdb-8dab-208ac4480d99\" class=\"colab-df-container\">\n",
+              "  <div id=\"df-7e9d5fef-690f-47bc-a903-5411bd2127c0\" class=\"colab-df-container\">\n",
               "    <div>\n",
               "<style scoped>\n",
               "    .dataframe tbody tr th:only-of-type {\n",
@@ -4612,7 +4633,7 @@
               "      <td>Daily or almost every day</td>\n",
               "      <td>Male</td>\n",
               "      <td>Straight or heterosexual</td>\n",
-              "      <td>Bachelor’s degree (BA, BS, B.Eng., etc.)</td>\n",
+              "      <td>Bachelor’s degree (BA, BS, B.Eng., etc.)</td>\n",
               "      <td>White or European descent</td>\n",
               "      <td>35 - 44 years old</td>\n",
               "      <td>Yes</td>\n",
@@ -4621,6 +4642,54 @@
               "      <td>Somewhat easy</td>\n",
               "    </tr>\n",
               "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>4</td>\n",
+              "      <td>Yes</td>\n",
+              "      <td>Yes</td>\n",
+              "      <td>United States</td>\n",
+              "      <td>No</td>\n",
+              "      <td>Employed full-time</td>\n",
+              "      <td>Associate</td>\n",
+              "      <td>Computer Science</td>\n",
+              "      <td>20 to 99 employees</td>\n",
+              "      <td>Manager</td>\n",
+              "      <td>...</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>Non-conforming</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>White or European descent</td>\n",
+              "      <td>35 - 44 years old</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>5</td>\n",
+              "      <td>No</td>\n",
+              "      <td>No</td>\n",
+              "      <td>United States</td>\n",
+              "      <td>No</td>\n",
+              "      <td>Employed full-time</td>\n",
+              "      <td>Bachelors</td>\n",
+              "      <td>Computer Science</td>\n",
+              "      <td>100 to 499 employees</td>\n",
+              "      <td>Developer</td>\n",
+              "      <td>...</td>\n",
+              "      <td>I don't typically exercise</td>\n",
+              "      <td>Male</td>\n",
+              "      <td>Straight or heterosexual</td>\n",
+              "      <td>Some college/university study without earning ...</td>\n",
+              "      <td>White or European descent</td>\n",
+              "      <td>35 - 44 years old</td>\n",
+              "      <td>No</td>\n",
+              "      <td>No</td>\n",
+              "      <td>The survey was an appropriate length</td>\n",
+              "      <td>Somewhat easy</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
               "      <th>4</th>\n",
               "      <td>7</td>\n",
               "      <td>Yes</td>\n",
@@ -4684,7 +4753,7 @@
               "      <td>I don't typically exercise</td>\n",
               "      <td>Male</td>\n",
               "      <td>Straight or heterosexual</td>\n",
-              "      <td>Master’s degree (MA, MS, M.Eng., MBA, etc.)</td>\n",
+              "      <td>Master’s degree (MA, MS, M.Eng., MBA, etc.)</td>\n",
               "      <td>White or European descent</td>\n",
               "      <td>18 - 24 years old</td>\n",
               "      <td>No</td>\n",
@@ -4693,6 +4762,30 @@
               "      <td>Somewhat easy</td>\n",
               "    </tr>\n",
               "    <tr>\n",
+              "      <th>7</th>\n",
+              "      <td>10</td>\n",
+              "      <td>Yes</td>\n",
+              "      <td>Yes</td>\n",
+              "      <td>Nigeria</td>\n",
+              "      <td>No</td>\n",
+              "      <td>Employed full-time</td>\n",
+              "      <td>Bachelors</td>\n",
+              "      <td>Computer Science</td>\n",
+              "      <td>10 to 19 employees</td>\n",
+              "      <td>Non developer</td>\n",
+              "      <td>...</td>\n",
+              "      <td>1 - 2 times per week</td>\n",
+              "      <td>Female</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>Primary/elementary school</td>\n",
+              "      <td>Black or African descent</td>\n",
+              "      <td>25 - 34 years old</td>\n",
+              "      <td>No</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>The survey was too long</td>\n",
+              "      <td>Somewhat difficult</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
               "      <th>8</th>\n",
               "      <td>11</td>\n",
               "      <td>Yes</td>\n",
@@ -4764,78 +4857,6 @@
               "      <td>The survey was an appropriate length</td>\n",
               "      <td>Neither easy nor difficult</td>\n",
               "    </tr>\n",
-              "    <tr>\n",
-              "      <th>17</th>\n",
-              "      <td>27</td>\n",
-              "      <td>Yes</td>\n",
-              "      <td>No</td>\n",
-              "      <td>Sweden</td>\n",
-              "      <td>No</td>\n",
-              "      <td>Employed full-time</td>\n",
-              "      <td>Bachelors</td>\n",
-              "      <td>Business</td>\n",
-              "      <td>10 to 19 employees</td>\n",
-              "      <td>Developer</td>\n",
-              "      <td>...</td>\n",
-              "      <td>3 - 4 times per week</td>\n",
-              "      <td>Male</td>\n",
-              "      <td>NaN</td>\n",
-              "      <td>Bachelor’s degree (BA, BS, B.Eng., etc.)</td>\n",
-              "      <td>White or European descent</td>\n",
-              "      <td>35 - 44 years old</td>\n",
-              "      <td>Yes</td>\n",
-              "      <td>NaN</td>\n",
-              "      <td>The survey was too long</td>\n",
-              "      <td>Somewhat difficult</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>18</th>\n",
-              "      <td>29</td>\n",
-              "      <td>Yes</td>\n",
-              "      <td>Yes</td>\n",
-              "      <td>India</td>\n",
-              "      <td>Yes, full-time</td>\n",
-              "      <td>Employed full-time</td>\n",
-              "      <td>Bachelors</td>\n",
-              "      <td>No major</td>\n",
-              "      <td>10,000 or more employees</td>\n",
-              "      <td>Developer</td>\n",
-              "      <td>...</td>\n",
-              "      <td>Daily or almost every day</td>\n",
-              "      <td>Female</td>\n",
-              "      <td>NaN</td>\n",
-              "      <td>Some college/university study without earning ...</td>\n",
-              "      <td>South Asian</td>\n",
-              "      <td>35 - 44 years old</td>\n",
-              "      <td>NaN</td>\n",
-              "      <td>NaN</td>\n",
-              "      <td>The survey was too long</td>\n",
-              "      <td>Very difficult</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>20</th>\n",
-              "      <td>33</td>\n",
-              "      <td>Yes</td>\n",
-              "      <td>Yes</td>\n",
-              "      <td>Australia</td>\n",
-              "      <td>No</td>\n",
-              "      <td>Employed full-time</td>\n",
-              "      <td>Bachelors</td>\n",
-              "      <td>Engineering</td>\n",
-              "      <td>1,000 to 4,999 employees</td>\n",
-              "      <td>Developer</td>\n",
-              "      <td>...</td>\n",
-              "      <td>3 - 4 times per week</td>\n",
-              "      <td>Male</td>\n",
-              "      <td>Straight or heterosexual</td>\n",
-              "      <td>Bachelor’s degree (BA, BS, B.Eng., etc.)</td>\n",
-              "      <td>South Asian</td>\n",
-              "      <td>35 - 44 years old</td>\n",
-              "      <td>Yes</td>\n",
-              "      <td>NaN</td>\n",
-              "      <td>The survey was too long</td>\n",
-              "      <td>Neither easy nor difficult</td>\n",
-              "    </tr>\n",
               "  </tbody>\n",
               "</table>\n",
               "<p>10 rows × 129 columns</p>\n",
@@ -4843,7 +4864,7 @@
               "    <div class=\"colab-df-buttons\">\n",
               "\n",
               "  <div class=\"colab-df-container\">\n",
-              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-5b952dc3-8cd2-4fdb-8dab-208ac4480d99')\"\n",
+              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-7e9d5fef-690f-47bc-a903-5411bd2127c0')\"\n",
               "            title=\"Convert this dataframe to an interactive table.\"\n",
               "            style=\"display:none;\">\n",
               "\n",
@@ -4895,12 +4916,12 @@
               "\n",
               "    <script>\n",
               "      const buttonEl =\n",
-              "        document.querySelector('#df-5b952dc3-8cd2-4fdb-8dab-208ac4480d99 button.colab-df-convert');\n",
+              "        document.querySelector('#df-7e9d5fef-690f-47bc-a903-5411bd2127c0 button.colab-df-convert');\n",
               "      buttonEl.style.display =\n",
               "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
               "\n",
               "      async function convertToInteractive(key) {\n",
-              "        const element = document.querySelector('#df-5b952dc3-8cd2-4fdb-8dab-208ac4480d99');\n",
+              "        const element = document.querySelector('#df-7e9d5fef-690f-47bc-a903-5411bd2127c0');\n",
               "        const dataTable =\n",
               "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
               "                                                    [key], {});\n",
@@ -4920,8 +4941,8 @@
               "  </div>\n",
               "\n",
               "\n",
-              "<div id=\"df-a987371e-5d3f-471e-8cf3-4e64e8552072\">\n",
-              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-a987371e-5d3f-471e-8cf3-4e64e8552072')\"\n",
+              "<div id=\"df-029ae4f2-77be-4c9e-beb4-db91f5d2df45\">\n",
+              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-029ae4f2-77be-4c9e-beb4-db91f5d2df45')\"\n",
               "            title=\"Suggest charts\"\n",
               "            style=\"display:none;\">\n",
               "\n",
@@ -5040,7 +5061,7 @@
               "    }\n",
               "    (() => {\n",
               "      let quickchartButtonEl =\n",
-              "        document.querySelector('#df-a987371e-5d3f-471e-8cf3-4e64e8552072 button');\n",
+              "        document.querySelector('#df-029ae4f2-77be-4c9e-beb4-db91f5d2df45 button');\n",
               "      quickchartButtonEl.style.display =\n",
               "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
               "    })();\n",
@@ -5056,7 +5077,7 @@
             }
           },
           "metadata": {},
-          "execution_count": 130
+          "execution_count": 120
         }
       ]
     },
@@ -5072,7 +5093,7 @@
       "metadata": {
         "id": "2LyBn6_i-b3o"
       },
-      "execution_count": 131,
+      "execution_count": 121,
       "outputs": []
     },
     {
@@ -5087,17 +5108,17 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "PcVgSusH-5Sh",
-        "outputId": "85446a7c-5516-4402-e24f-b1a6dc1d89dc"
+        "outputId": "99cfde96-520e-4601-b43d-4afe3b0874c1"
       },
-      "execution_count": 132,
+      "execution_count": 122,
       "outputs": [
         {
           "output_type": "stream",
           "name": "stdout",
           "text": [
-            "Total :  7611\n",
-            "Total missing :  1487\n",
-            "Missing Percentage:  19.537511496518196 %\n"
+            "Total :  10165200\n",
+            "Total missing :  2079651\n",
+            "Missing Percentage:  20.45853500177075 %\n"
           ]
         }
       ]
@@ -5145,7 +5166,7 @@
       "metadata": {
         "id": "pheMWmjZ-7gh"
       },
-      "execution_count": 138,
+      "execution_count": 123,
       "outputs": []
     },
     {
@@ -5166,7 +5187,7 @@
       "metadata": {
         "id": "ZxPFi0uHCaaz"
       },
-      "execution_count": 167,
+      "execution_count": 124,
       "outputs": []
     },
     {
@@ -5177,7 +5198,7 @@
       "metadata": {
         "id": "w8cRvgaTAQR1"
       },
-      "execution_count": 168,
+      "execution_count": 125,
       "outputs": []
     },
     {
@@ -5191,15 +5212,15 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "rpKuLqjgASsQ",
-        "outputId": "4ce6e58a-d709-4179-9b79-0d73babdd422"
+        "outputId": "a7ef0c59-6987-4b38-8ff4-f134a0dd4ddb"
       },
-      "execution_count": 169,
+      "execution_count": 126,
       "outputs": [
         {
           "output_type": "stream",
           "name": "stdout",
           "text": [
-            "Indices of outliers detected using IQR method: [8, 75, 27]\n"
+            "Indices of outliers detected using IQR method: [8193, 8195, 24580, 8, 49160, 8203, 32784, 73747, 73748, 32789, 40981, 27, 73758, 32799, 24608, 8232, 65577, 32812, 65580, 16430, 65585, 16434, 65587, 41015, 49207, 32827, 16446, 16449, 41030, 81992, 32846, 8271, 32848, 8274, 16466, 8276, 24659, 65620, 41047, 49248, 82017, 16489, 49258, 24683, 8302, 41070, 73842, 41080, 65658, 125, 73855, 128, 16513, 73889, 32930, 41130, 24760, 32952, 57539, 49348, 197, 57553, 65752, 32987, 225, 24802, 8421, 73957, 236, 8436, 41205, 8440, 82172, 16637, 73988, 73990, 57608, 41225, 269, 41229, 49423, 57619, 8468, 65811, 74010, 57629, 74014, 49441, 57637, 41258, 57642, 24877, 74032, 49457, 57649, 57653, 57656, 74045, 8511, 24903, 328, 24907, 82251, 16722, 74072, 49499, 24926, 41317, 24934, 74088, 74096, 65907, 41332, 74103, 65915, 74107, 8575, 385, 41349, 82310, 74121, 396, 24973, 57747, 406, 16790, 24983, 65942, 8604, 416, 49568, 49569, 65954, 41380, 65957, 65958, 41384, 49578, 33203, 8628, 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           ]
         }
       ]
@@ -5220,9 +5241,9 @@
           "height": 564
         },
         "id": "-AOrLBl_DXZv",
-        "outputId": "49738230-e283-4f74-b4d8-90d9a939c0a5"
+        "outputId": "96ffaf11-90dc-440b-a09a-588dd20e4285"
       },
-      "execution_count": 170,
+      "execution_count": 127,
       "outputs": [
         {
           "output_type": "display_data",
@@ -5230,7 +5251,7 @@
             "text/plain": [
               "<Figure size 800x600 with 1 Axes>"
             ],
-            "image/png": 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\n"
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\n"
           },
           "metadata": {}
         }
@@ -5261,9 +5282,9 @@
           "height": 564
         },
         "id": "wLIoCAqdDn9g",
-        "outputId": "77625d33-8158-4f35-f351-4a9b7d3def26"
+        "outputId": "33d956db-89a9-4f0b-cb9b-c63204afc6cd"
       },
-      "execution_count": 163,
+      "execution_count": 128,
       "outputs": [
         {
           "output_type": "display_data",
@@ -5271,7 +5292,7 @@
             "text/plain": [
               "<Figure size 800x600 with 1 Axes>"
             ],
-            "image/png": 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\n"
+            "image/png": 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\n"
           },
           "metadata": {}
         }
@@ -5302,9 +5323,9 @@
           "height": 564
         },
         "id": "k5nQiwb5NfEj",
-        "outputId": "d91278eb-29c8-4840-db0b-69ddb1015eaa"
+        "outputId": "b8eae50d-9c38-4348-eecb-4f5ee3b90329"
       },
-      "execution_count": 164,
+      "execution_count": 129,
       "outputs": [
         {
           "output_type": "display_data",
@@ -5312,7 +5333,7 @@
             "text/plain": [
               "<Figure size 800x600 with 1 Axes>"
             ],
-            "image/png": 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\n"
+            "image/png": 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\n"
           },
           "metadata": {}
         }
@@ -5343,9 +5364,9 @@
           "height": 564
         },
         "id": "qHIiS9-oNjPM",
-        "outputId": "aa3cc2ed-ce57-4042-9138-98dcbed3f0ab"
+        "outputId": "cce9cd3a-8746-4d3c-e09b-dc8fff334691"
       },
-      "execution_count": 172,
+      "execution_count": 130,
       "outputs": [
         {
           "output_type": "display_data",
@@ -5353,7 +5374,7 @@
             "text/plain": [
               "<Figure size 800x600 with 1 Axes>"
             ],
-            "image/png": 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VGBioGjVqaP369dqzZ4/i4uIK3a7O9zKQ8PBwde3aVV27dtWJEyd000036fHHH9fgwYN9LgHKbd++fVqwYIEeeeQRDR061Gd/cytRooSioqL0448/nrUM53u8V6xYoZycHJ+z5AW1cQDu4Aw58D+sTZs2kqQxY8b4TPdeXtK2bdsLWu+kSZP08ssva/z48WrQoEG+1+Pj41WrVi1NmTLFJ7z8+OOPmjt3rlOu8xUeHl5gyPb398939m3cuHEX9CjBs8nOztbcuXMVFBTkfMBp06aNTp06peeff95n3tGjR8vj8ah169bOshkZGUpISNDYsWM1efJk7dy5U/fdd98lLWNu53McvMG2MB9i6tWrp5IlS+qll17yeXzmxx9/rNWrV19wu7qY8nuNHz/e5+9x48ZJknMc1q9fr61bt+Zbbv/+/VqyZImKFi3qPF2msO3qfOou7yMKg4KCVKVKFZlZgU9J8vKedc5bnrx928/PTx06dNAHH3xQ4C+eepc/nzK3adNGO3bs0IwZM5xpJ0+e1Lhx4xQREeE8phGAezhDDvwPq1mzptLT0zVhwgTt379faWlp+uabbzRlyhR16NBBzZs3P+917tmzR3fddZeqVKmi4OBgTZ8+3ef1G2+8UeHh4Ro5cqRat26tRo0aqVevXs7j6qKjo/Xwww9f0P7UrVtX8+fP17PPPquEhASVLVtWDRs21PXXX69p06YpOjpaVapU0ZIlSzR//vyzPg6wMD7++GPnLOCuXbv0+uuva/369XrwwQcVFRUlSWrXrp2aN2+uIUOGaPPmzapZs6bmzp2r//znP7r33nudx/w99thjyszM1IIFCxQZGakaNWpo6NCheuihh9SpU6cL/pByLoU9DnXr1pUkDRkyRH/7298UGBiodu3aFfhNRmBgoJ566in16NFDaWlp6tatm/PYw+Tk5Ev6IeN829GmTZt0ww036LrrrtOSJUs0ffp03XzzzapZs6Yk6YcfftDNN9+s1q1bq2nTpipWrJi2bdumKVOmaPv27RozZowTfgvbrmrVqiV/f3899dRTOnDggIKDg3X11VerZMmS+cp37bXXKi4uTk2aNFFsbKxWr16t559/Xm3bts13H0JuUVFRuuqqq/T0008rOztbpUqV0ty5cwt8Bv2IESM0d+5cpaWlqW/fvkpNTVVWVpZmzpypr776SkWKFDmvMvft21cvv/yyMjIy9N133yk5OVlvv/22Fi1apDFjxpy13AD+JO494AW4/JzrEXJpaWn5HqmWnZ1tjzzyiJUtW9YCAwMtMTHRBg8ebMeOHfOZLykpydq2bVvgenM/9tD7aLMz/cv92Lz58+dbkyZNLDQ01KKioqxdu3a2atUqn3V7H1e3e/fuAvc19/rWrFljV111lYWGhpokp0z79u2zHj16WPHixS0iIsJatWpla9asyfe4xot57GFISIjVqlXLXnzxRefRcV6HDh2y++67zxISEiwwMNAqVKhgI0eOdOb77rvvLCAgwPr16+ez3MmTJ61+/fqWkJBg+/btO2N5zvQYvLwKeuyhWeGOg5nZo48+aqVKlTI/P79CPQJxxowZVrt2bQsODrZixYrZLbfcYr/++qvPPOfz2MNXX33VJNny5cvPu/zedrRq1Srr1KmTRUZGWtGiRe2ee+7xeTTjzp077cknn7S0tDSLj4+3gIAAK1q0qF199dX29ttv+6yzsO3KzGzixIlWrlw58/f392ljeR8h+PLLL9tVV11lMTExFhwcbOXLl7dBgwbZgQMHnHnOdLx//fVXu/HGG61IkSIWHR1tnTt3tu3bt5skGzZsmM+8W7Zsse7du1uJEiUsODjYypUrZ3fffbcdP378vMvsrTdvXQQFBVn16tXztTNv+xs5cqTlVVAZAVw6HjPu0gAAXLznnntOAwYM0IYNG877B4QA4HLGNeQAgEti2bJlCg8P5yZBADhPXEMOALgo77zzjhYuXKjXXntNvXv35nGOAHCeuGQFAHBRypYtq0OHDunGG2/UmDFjLuiRmABwOSOQAwAAAC7iGnIAAADARQRyAAAAwEWX5Z03OTk52r59uyIjI8/7J5MBAADwxzMzHTp0SAkJCfLz+2ufQ74sA/n27duVmJjodjEAAABwDr/88otKly7tdjH+UJdlIPf+TPAvv/zi/Hw2AAAA/nccPHhQiYmJTm77K7ssA7n3MpWoqCgCOQAAwP+wy+Hy4r/2BTkAAADA/zgCOQAAAOAiAjkAAADgIgI5AAAA4CICOQAAAOAiAjkAAADgIgI5AAAA4CICOQAAAOAiAjkAAADgIgI5AAAA4CICOQAAAOAiAjkAAADgIgI5AAAA4CICOQAAAOAiAjkAAADgIgI5AAAA4CICOQAAAOAiAjkAAADgIgI5AAAA4CICOQAAAOAiAjkAAADgIgI5AAAA4CICOQAAAOAiAjkAAADgIgI5AAAA4CICOQAAAOAiAjkAAADgIgI5AAAA4CICOQAAAOAiAjkAAADgIgI5AAAA4CICOQAAAOAiAjkAAADgIgI5AAAA4CICOQAAAOAiAjkAAADgIgI5AAAA4CICOQAAAOAiAjkAAADgIgI5AAAA4CICOQAAAOAiAjkAAADgogC3CwD80Xbu3KkDBw64XQwAf1HR0dGKjY11uxgA/g8jkOMvbefOnbr1tu7KPnHc7aIA+IsKDArW9GlTCeUALhiBHH9pBw4cUPaJ4zpaLk05IdFuF+ey4Hd0v0I3faGjZa9STmgRt4sD/KH8jh2Qfv5cBw4cIJADuGAEclwWckKilRNe3O1iXFZyQotQ5wAAFAI3dQIAAAAuIpADAAAALiKQAwAAAC4ikAMAAAAuIpADAAAALiKQAwAAAC4ikAMAAAAuIpADAAAALiKQAwAAAC4ikAMAAAAuIpADAAAALiKQAwAAAC4ikAMAAAAuIpADAAAALiKQAwAAAC4ikAMAAAAuIpADAAAALiKQAwAAAC4ikAMAAAAuIpADAAAALiKQAwAAAC4ikAMAAAAuIpADAAAALiKQAwAAAC4ikAMAAAAuIpADAAAALiKQAwAAAC4ikAMAAAAuIpADAAAALiKQAwAAAC4ikAMAAAAuIpADAAAALiKQAwAAAC4ikAMAAAAuIpADAAAALiKQAwAAAC4ikAMAAAAuIpADAAAALiKQAwAAAC4ikAMAAAAuIpADAAAALiKQAwAAAC4ikAMAAAAuIpADAAAALiKQAwAAAC4ikAMAAAAuIpADAAAALiKQAwAAAC4ikAMAAAAuIpADAAAALiKQAwAAAC4ikAMAAAAuIpADAAAALiKQAwAAAC4ikAMAAAAuIpADAAAALiKQAwAAAC4ikAMAAAAuIpADAAAALiKQAwAAAC4ikAMAAAAuIpADAAAALiKQAwAAAC4ikAMAAAAuIpADAAAALiKQAwAAAC4ikAMAAAAuIpADAAAALiKQAwAAAC4ikAMAAAAuIpADAAAALiKQAwAAAC4ikAMAAAAuIpADAAAALiKQAwAAAC4ikAMAAAAuIpADAAAALiKQAwAAAC4ikAMAAAAuIpADAAAALiKQAwAAAC4ikAMAAAAuIpADAAAALiKQAwAAAC4ikAMAAAAuIpADAAAALiKQAwAAAC4ikAMAAAAuIpD/SY4dO6Z169bp2LFjbhcFAADgvJFl/jgE8j/J1q1b1bdvX23dutXtogAAAJw3sswfh0AOAAAAuIhADgAAALiIQA4AAAC4iEAOAAAAuIhADgAAALiIQA4AAAC4iEAOAAAAuIhADgAAALiIQA4AAAC4iEAOAAAAuIhADgAAALiIQA4AAAC4iEAOAAAAuIhADgAAALiIQA4AAAC4iEAOAAAAuIhADgAAALiIQA4AAAC4iEAOAAAAuIhADgAAALiIQA4AAAC4iEAOAAAAuIhADgAAALiIQA4AAAC4iEAOAAAAuIhADgAAALiIQA4AAAC4iEAOAAAAuIhADgAAALiIQA4AAAC4iEAOAAAAuIhADgAAALiIQA4AAAC4iEAOAAAAuIhADgAAALiIQA4AAAC4iEAOAAAAuIhADgAAALiIQA4AAAC4iEAOAAAAuIhADgAAALiIQA4AAAC4iEAOAAAAuIhADgAAALiIQA4AAAC4iEAOAAAAuIhADgAAALiIQA4AAAC4iEAOAAAAuIhADgAAALiIQA4AAAC4iEAOAAAAuIhADgAAALiIQA4AAAC4iEAOAAAAuIhADgAAALiIQA4AAAC4iEAOAAAAuIhADgAAALiIQA4AAAC4iEAOAAAAuIhADgAAALiIQA4AAAC4iEAOAAAAuIhADgAAALiIQA4AAAC4iEAOAAAAuIhADgAAALiIQA4AAAC4iEAOAAAAuIhADgAAALiIQA4AAAC4iEAOAAAAuIhADgAAALiIQA4AAAC4iEAOAAAAuIhADgAAALiIQA4AAAC4iEAOAAAAuIhADgAAALiIQA4AAAC4iEAOAAAAuIhADgAAALiIQA4AAAC4iEAOAAAAuIhADgAAALiIQA4AAAC4iEAOAAAAuIhADgAAALiIQA4AAAC4iEAOAAAAuCjA7QL8GY4fP67jx487fx88eNC1smzZssW1bV+OqG8AfwbGGlwOaOd/nMsikD/xxBN65JFH3C6GJOnxxx93uwgAgEuMsR3AxbgsAvngwYP197//3fn74MGDSkxMdKUsQ4YMUVJSkivbvhxt2bKFN0oAfzjGdlwOeE/941wWgTw4OFjBwcFuF0OSlJSUpIoVK7pdDADAJcTYDuBicFMnAAAA4CICOQAAAOAiAjkAAADgIgI5AAAA4CICOQAAAOAiAjkAAADgIgI5AAAA4CICOQAAAOAiAjkAAADgIgI5AAAA4CICOQAAAOAiAjkAAADgIgI5AAAA4CICOQAAAOAiAjkAAADgIgI5AAAA4CICOQAAAOAiAjkAAADgIgI5AAAA4CICOQAAAOAiAjkAAADgIgI5AAAA4CICOQAAAOAiAjkAAADgIgI5AAAA4CICOQAAAOAiAjkAAADgIgI5AAAA4CICOQAAAOAiAjkAAADgIgI5AAAA4CICOQAAAOAiAjkAAADgIgI5AAAA4CICOQAAAOAiAjkAAADgIgI5AAAA4CICOQAAAOAiAjkAAADgIgI5AAAA4CICOQAAAOAiAjkAAADgIgI5AAAA4CICOQAAAOAiAjkAAADgIgI5AAAA4CICOQAAAOAiAjkAAADgIgI5AAAA4CICOQAAAOAiAjkAAADgIgI5AAAA4CICOQAAAOAiAjkAAADgIgI5AAAA4CICOQAAAOAiAjkAAADgIgI5AAAA4CICOQAAAOAiAjkAAADgIgI5AAAA4CICOQAAAOAiAjkAAADgIgI5AAAA4CICOQAAAOAiAjkAAADgIgI5AAAA4CICOQAAAOAiAjkAAADgIgI5AAAA4CICOQAAAOAiAjkAAADgIgI5AAAA4CICOQAAAOAiAjkAAADgIgI5AAAA4CICOQAAAOAiAjkAAADgIgI5AAAA4CICOQAAAOAiAjkAAADgIgI5AAAA4CICOQAAAOAiAjkAAADgIgI5AAAA4CICOQAAAOAiAjkAAADgIgI5AAAA4CICOQAAAOAiAjkAAADgIgL5n6RMmTKaMGGCypQp43ZRAAAAzhtZ5o8T4HYBLhchISGqWLGi28UAAAC4IGSZPw5nyAEAAAAXEcgBAAAAFxHIAQAAABcRyAEAAAAXEcgBAAAAFxHIAQAAABcRyAEAAAAXEcgBAAAAFxHIAQAAABcRyAEAAAAXEcgBAAAAFxHIAQAAABcRyAEAAAAXEcgBAAAAFxHIAQAAABcRyAEAAAAXEcgBAAAAFxHIAQAAABcRyAEAAAAXEcgBAAAAFxHIAQAAABcRyAEAAAAXEcgBAAAAFxHIAQAAABcRyAEAAAAXEcgBAAAAFxHIAQAAABcRyAEAAAAXEcgBAAAAFxHIAQAAABcRyAEAAAAXEcgBAAAAFxHIAQAAABcRyAEAAAAXEcgBAAAAFxHIAQAAABcRyAEAAAAXEcgBAAAAFxHIAQAAABcRyAEAAAAXEcgBAAAAFxHIAQAAABcRyAEAAAAXEcgBAAAAFxHIAQAAABcRyAEAAAAXEcgBAAAAFxHIAQAAABcRyAEAAAAXEcgBAAAAFxHIAQAAABcRyAEAAAAXEcgBAAAAFxHIAQAAABcRyAEAAAAXEcgBAAAAFxHIAQAAABcRyAEAAAAXEcgBAAAAFxHIAQAAABcRyAEAAAAXEcgBAAAAFxHIAQAAABcRyAEAAAAXEcgBAAAAFxHIAQAAABcRyAEAAAAXEcgBAAAAFxHIAQAAABcRyAEAAAAXEcgBAAAAFxHIAQAAABcRyAEAAAAXEcgBAAAAFxHIAQAAABcRyAEAAAAXEcgBAAAAFxHIAQAAABcRyAEAAAAXEcgBAAAAFxHIAQAAABcRyAEAAAAXEcgBAAAAFxHIAQAAABcRyAEAAAAXEcgBAAAAFxHIAQAAABcRyAEAAAAXEcgBAAAAFwW4XQDgz+B37IDbRbhs+B3d7/Nf4K+MsQXApUAgx19adHS0AoOCpZ8/d7sol53QTV+4XQTgTxEYFKzo6Gi3iwHg/zACOf7SYmNjNX3aVB04wFksAH+M6OhoxcbGul0MAP+HEcjxlxcbG8ubJQAA+J/FTZ0AAACAiwjkAAAAgIsI5AAAAICLCOQAAACAiwjkAAAAgIsI5AAAAICLCOQAAACAiwjkAAAAgIsI5AAAAICLCOQAAACAiwjkAAAAgIsI5AAAAICLCOQAAACAiwjkAAAAgIsI5AAAAICLCOQAAACAiwjkAAAAgIsI5AAAAICLCOQAAACAiwjkAAAAgIsI5AAAAICLCOQAAACAiwjkAAAAgIsI5AAAAICLCOQAAACAiwjkAAAAgIsI5AAAAICLCOQAAACAiwjkAAAAgIsI5AAAAICLCOQAAACAiwjkAAAAgIsI5AAAAICLCOQAAACAiwjkAAAAgIsI5AAAAICLCOQAAACAiwjkAAAAgIsI5AAAAICLCOQAAACAiwjkAAAAgIsI5AAAAICLAtwugBvMTJJ08OBBl0sCAACAgnhzmje3/ZVdloH80KFDkqTExESXSwIAAICzOXTokKKjo90uxh/KY5fDx448cnJytH37dkVGRsrj8fwp2zx48KASExP1yy+/KCoq6k/ZJqh3N1Dn7qDe3UG9u4N6d8efXe9mpkOHDikhIUF+fn/tq6wvyzPkfn5+Kl26tCvbjoqKYvBwAfX+56PO3UG9u4N6dwf17o4/s97/6mfGvf7aHzcAAACA/3EEcgAAAMBFBPI/SXBwsIYNG6bg4GC3i3JZod7/fNS5O6h3d1Dv7qDe3UG9/3Euy5s6AQAAgP8VnCEHAAAAXEQgBwAAAFxEIAcAAABc9D8XyBcuXCiPx6P9+/e7XZQzevjhh1WrVq1Lvl6Px6P3339fkrR582Z5PB5lZmZe8u0UVnJyssaMGVOoch05ckQdO3ZUVFSUc/y8y0+ePFlFihQ57+17t1WpUqWL35lL6Hz35/3331dKSor8/f117733XlB9FNQvch+X/wV/VL+4WM2aNdO9995bqHnNTH379lWxYsWcdn4+y5/JhfaBghRmjPT2vbO51MfrfNc3YcIEJSYmys/PT2PGjLmg8uTdz7ONm2cboy7G/2q7zz0+lC5d2qdeCjN2XOy4fbb3rgvpk8HBwT59snTp0hfVLy+2T7rR3vO6kJzwR2WsvMf0UvSti5GRkaEOHToUev6HH35YsbGxTt843+ULct51bechPT3dJNntt9+e77W77rrLJFl6evr5rDKfzz77zCTZvn37Lmo9hTFs2DCrWbPmn7bcuUiy9957z8zMTp48aVlZWZadnX3Jt5Pbrl27rHnz5ubxeCwoKMhiY2Pt2muvta+++sp27dplv//+e6HK9cILL1iJEiVs5cqVlpWVZTk5Oc7ykyZNsujo6LOWIz093dq3b+8zbdOmTSbJKlaseAn3+PwkJSXZ6NGjfaYdOXLEdu7c6fxdmH5RrVo127Ztmx08eDDf8oVRUL/IfVwupf+1flFYrVq1Mkn5/l199dV28ODBQq2jevXq5ufnZ4sWLXLa+d69ewu9/JkUtg9IsieeeMJn+nvvvWe5h+rCjJHevudVUFu5mONV0PoOHTpke/bsKdTyBw4csMDAQBs3bpxt377dfv/997Muf6b6y7uf3jHj+++/zzfv2caoi+FGu9+1a5fdcccdlpiYmG/c9sp9jMqUKWOPPPKIM25nZWXZsWPHzrqNix23v//++zO21fPpU7Nnz7bAwEBr3bq1tWrVyumTmzdvvqh+mXf/vP0v7z/vuFKY9p6WlmYDBgzIt63zbe+Fdbb2fiZ/VMbKu++Xom8VxpnqYP/+/YXex1WrVjnH2Ns3zmf5Mznfuj7vX+pMTEzUm2++qdGjRys0NFSSdOzYMb3++usqU6bM+a7uD3HixAkFBQW5XYyL4u/vr7i4uD98Ox07dtS2bdsUFhamn376STt37tSCBQu0d+9elShRotDl2rhxo1JTU1WtWjVnWkHL/xWEhoY6bd/rbP1CkkqVKqWEhASfdfzZ/gr9ojDWrFnj88tuwcHBioyMLNSyR48eVXh4uBo3buxMK1asmM88ZqZTp04pIODS/9BxSEiInnrqKd1+++0qWrToBa/Hjb4XERGh8PBwnTx58px1s3XrVmVnZ6tt27aKj4/3Wcf5OJ/9/CuNUR07dtTx48c1ZcoUlStXzmfcLojH41FUVJRzXP6M95azydunzmbjxo2Kj49XyZIltX//fgUEBKhYsWLntY7Cuu666zRp0iSfacHBwQVuKyIiotDtNXd7j4uLc8aP823v/5e43bfO59c9N27cKElq3769PB6PJLnzWMfzSfveT8PVqlWz6dOnO9Nfe+01q1GjhrVv397nDPmxY8esX79+VqJECQsODrYmTZrYN99847POjz76yCpUqGAhISHWrFkzmzRpUr5PFF9++aVdeeWVFhISYqVLl7Z+/frZ4cOHndeTkpJs+PDhdtttt1lkZKRThn/84x9WoUIFCw0NtbJly9pDDz1kJ06cMDNztpP736RJk8zMbN++fdarVy8rXry4RUZGWvPmzS0zM9PZXu4zIp9//rkFBARYVlaWz34NGDDArrzyyjPW5bp166xp06YWHBxsqampNnfuXJ9P4Xk/9f3222928803W/HixS0kJMRSUlLs1VdfNTOz48eP2913321xcXEWHBxsZcqUsREjRjjbGjVqlFWrVs3CwsKsdOnSduedd9qhQ4ds3759BZ4RGDZsmFOvo0ePNkn27rvv2rBhwyw+Pt4kWfHixa1fv35mZla1alWf5StVqmSSLDEx0UaPHu2ciXj77bctOjraJJm/v781btzYMjMzbdiwYfnKEBISYp07d3bOkOfk5Fj58uVt5MiRPvX4/fffmyRbv359gfX82WefWf369S0sLMyio6OtcePGtnnzZjMz27Bhg91www1WsmRJCw8Pt3r16tm8efOcZdPS0vKVy9t2cp9ZadeuncXExJifn5+FhIRYnTp1bNmyZTZkyJB8y3/22Wc2YcIECwoK8ukXI0eOtNq1a1twcLCVLVvWbr75Zp9+8eSTT5okCwoK8mkvqampf5l+kZOTY8OGDXPO+sXHxzttzMxs6tSpVrduXYuIiLDY2Fjr1q2b802Dt7/k/ufdX++Zm88++8wCAwPtvvvus5SUFAsODrbw8HALDg62HTt2WPny5fOtY9OmTVazZk2TZLNnz7Y6depYYGCgdenSxeLj4y0wMNCCgoIsKCjIatSoYTNnznTqsUSJEibJGjVqZAkJCSbJmjdvbjt37rTZs2db5cqVLTIy0rp162a///67paen2/XXX2+VK1e2pk2bWnJysoWEhFhSUlKBZ8ivuOIKCwkJMY/HY61bt/Y59iVKlLDAwEA7ePCgs7z3X1JSks2cOdNKlChhHo/HwsPDLSQkxKKioqxr16722WefWcuWLS0mJsYiIyMtOTnZEhISLCQkxGrUqGHFixfPV0+zZ8+2+Ph483g89tlnn+Xre1FRURYXF2clSpSwgICAfMsPGTLESpYsaX5+fj5j1MSJEy0xMfGMY1R8fLwlJCRYcHCw1alTx7p06WKSLDAw0Kf95O3LaWlpTh/J/Q3Yudq4mdkTTzxhJUuWtIiICOvZs6c98MADZz1D7j1e8+fPt7p161poaKg1atTI1qxZ4zPfCy+8YOXKlbPAwECrWLGiTZ061ed1SfbCCy/Yddddd9Zvo3fu3GnXX3+9SbISJUrY9OnTrVSpUj7vJ5Js8ODBTj8oVaqUMzaXLl3aRowY4Yxzt9xyi3PMgoODrWfPnmZmBY7bV199tS1btswk2UcffXTGPlm3bl2fcXv8+PFOWUqWLGk33XST3XfffRYYGOizfGhoqHM8S5Uq5ZyRPXbsmLVo0cL8/f1NkgUEBNhVV13l1MnMmTOtVKlS5vF4nHp5/PHHLTo62r755htr2bKlBQcHO8t99913zrJ5+09sbKyz//Hx8VaiRAnbsWNHgd/Qffnll/bAAw/km/7GG2/Y0KFDLS4uzunnNWrUsDvuuMMqV65swcHBTrufM2eO1apVy0JCQqxu3bpWtWpVCwgIsJCQEAsNDTVJtnjxYqe8p06dshEjRvis1zsu5W6P+/bts8OHD1tkZKTP62anv5ULCws74zcQhw8ftttuu83Cw8MtLi7OnnnmmXxnyHP3rXON7XmPf8eOHZ3XPv74Y2vSpIlFR0dbsWLFrG3btrZhwwbn9bx16+3beb+9mTlzplWrVs1CQkKsWLFi1qJFCzt8+HCB7big5c9Vr2aFy7Nnc0GB/Nlnn7UWLVo401u0aGGjR4/OF8j79+9vCQkJNnv2bPvpp58sPT3dihYtanv37jUzs61bt1pwcLD9/e9/tzVr1tj06dMtNjbWZwc2bNhg4eHhNnr0aFu3bp0tWrTIateubRkZGc52kpKSLCoqyp555hnbsGGDc7AeffRRW7RokW3atMlmzZplsbGx9tRTT5nZ6csO7r//fqtataplZWVZVlaWHTlyxMzMWrZsae3atbNly5bZunXr7P7777eYmBin3Hm/oqxYsaI9/fTTzt8nTpyw4sWLO4E5r1OnTlm1atWsRYsWlpmZaZ9//rnVrl37rIH87rvvtlq1atmyZcts06ZNNm/ePJs1a5aZmY0cOdISExPtiy++sM2bN9uXX35pr7/+urO90aNH26effmqbNm2yBQsWWKVKlezOO++07Oxsi4iIsLS0NIuMjHTq4dChQ069egP5oEGDLCoqymlg06ZNswkTJtjPP/9sgYGBVqNGDatVq5a9+OKLTmjPHcgDAwOtWLFi1rRpU5s2bZqVL1/eKleubDExMbZlyxbr0qWL1apVy4KCgmzUqFG2YsUKu/vuu51Abmb2+OOPW5UqVXzqsn///j4Db27Z2dkWHR1tAwcOtA0bNtiqVats8uTJtmXLFjMzy8zMtJdeeslWrlxp69ats4ceeshCQkKc1/fu3WulS5e24cOHO3Vjlj+QFylSxEqXLm0PPPCANWrUyN566y3LzMy05s2b2+DBg02SNWvWzLKysuz48ePWsmVL83g8Tr/wvsE+//zztnHjRps+fboT5NasWWNTp0513hC/+OIL+/zzz61KlSomyXr27PmX6RczZ860qKgomz17tm3ZssWWLl1qEyZMcF7/97//bbNnz7aNGzfakiVLrFGjRta6dWszO30pVbNmzUySrV271rKysmz//v1m5vtV6m233WaS7JVXXrEPP/zQAgMDrXfv3mZmtmXLFktMTLTw8HD74YcfbOXKlXby5EknkNeoUcPmzp1rXbp0sfr161vv3r2tfPny1rt3bwsKCrInn3zSgoOD7YUXXjA/Pz/r27evSbLk5GSLiIiwiIgIS0lJsbS0NLv22mtt+fLl9sUXX1hMTIw9+eSTzvh68803m8fjsWnTptnGjRutX79+JskWLlxoZua0jxEjRti6devshhtusKioKJ9jHxoaavXq1TOz018dez9YZWVl2cqVKy0gIMCuvfZaCw8PtxYtWtiQIUNszpw5FhcXZzfffLNNmzbNVq9ebf3797fo6GgrUqSI/fDDDzZp0iQLDg521vfOO+84dXPrrbda5cqVbe/evfn63sCBA61YsWI2c+ZMW7NmjTOufPPNN5aVlWWjRo2y7t27W2pqqjNGtWjRwuLj4+3NN9+0f/3rXxYWFmZFihSxMWPG2KFDh+zQoUPm5+dnderUsR9//NEefPBBJ3DNnj3bp/3s3bvX+vTpY40aNbKsrCynzeYN5Odq4zNmzLDg4GB75ZVXbM2aNTZkyBCLjIwsVCBv2LChLVy40H766Sdr2rSpNW7c2Jnn3XfftcDAQBs/frytXbvWRo0aZf7+/vbpp58680iykiVL2sSJEy08PNx69epV4GUnrVu3dtrsM888Y40bN3aOWe5AHhAQYAMHDrRBgwZZTEyM8wFy9uzZ9vrrr9ukSZPM39/f/P39bcyYMfbhhx9acnKyNWjQwMxOX7JRv359q1u3rn399df24YcfWsOGDZ0PP99++63TPlJSUnz6ZKlSpaxUqVJmZrZs2TLz9/e3119/3TZv3mzLly+3G264wYoWLWpTp061fv36WVhYmEVERNh1113n9Oncgbx9+/YmyYYOHWqff/653Xvvvebv72/r1q2z7du3m7+/v3k8HnvggQds1qxZ1qlTJ4uOjrbo6GhbsGCBTZs2zTp06GBXX3219erVy2JjY50wmrv/3HXXXZaYmGj79++3vn37msfjsf/85z+WnZ1tUVFRlpCQYF27drXPP//cxowZYz///LPNmTPHCXrjxo2zJUuWOJeKBgcH25w5c2zjxo3OeDF8+HD7+eef7ZFHHjFJVr58efvqq6/sq6++Mn9/fytZsqQ1btzYxowZ47zX9u/f3zn+jz32mFWuXNlZr7fPesePvJdR9OnTx9q0aePThm644Qbr3r37Gdv0nXfeaWXKlLH58+fbihUr7Prrr7fIyMgzBvKzje0FHf+xY8c663n77bftnXfesfXr19v3339v7dq1s+rVq9upU6fMzOybb75xPvDm7tu5A/X27dstICDAnn32Wdu0aZOtWLHCxo8f74wj3lyT+30+byA/V70WJs+eywUF8l27dllwcLBt3rzZNm/ebCEhIbZ7926fQH748GELDAy01157zVn+xIkTlpCQ4LxJDx48OF/A8n6a9O5Ar169rG/fvj7zfPnll+bn52dHjx41s9MHvkOHDucs/8iRI61u3brO3wVd+/fll19aVFRUvoGufPny9vLLLxe43FNPPWWpqanO3++8845FRET4nLHK7ZNPPrGAgADbtm2bM+3jjz8+ayBv166d9ejRo8D19evXz66++mrLyck56/57zZw502JiYszsdGMPDw83Sda4cWMbPHiw/fDDD2bmG8gzMjKsYsWKtm7dOp9yPfDAA1atWjUbMGCA88nUe2Y4dyCXZBEREU69jh8/3mJjY5169X5Yu+uuu5xy5r2GfNu2bebv729Lly41s/8GvMmTJxe4n3v37vUJMoVRtWpVGzdunPN3QdeQ5w3kAQEBVrt27QL7xYYNG0w6fR2i2el+4e/v75zpMTNr3ry5RUVF+fSLUqVKWXx8vJmdbi/eoOHtFwVd1/h/vV+MGjXKKlas6JytPxfvmTjvB0hvnYSHh/v8S05Odt4o3nzzTfPz87ObbrrJqlSpYn369Mm3P5GRkT7TvOHm/fffty1btpi/v7/9/PPPFhYW5pyZatGihQ0ePNh69eplSUlJ1qZNG58zo127drXo6Gh74oknTJJt3LjRWf/tt99urVq1svT0dGvXrp2FhYVZ1apVnTOR3mvIu3XrZmZmbdq08WkLS5cuNT8/P+fY79y50yTZ3Xff7Wwjd1v57rvvTJINGDAg31mwQYMGWcOGDc3s9FnHsLAw++qrrywyMtI++OADMzs9JnvX593H999/3+f45+17ecco7zdbmzZtcrade/mZM2ean5+fc2LB2+ceffRRa9SokZmZvfzyy+bn5+f0m1GjRlnJkiV9xqfcco9RXrn7d2HaeKNGjXzGKDOzhg0bFvoMuZf37LG3rzZu3DhfW+zcubNPUJJk9957r5mdHreLFi1qISEhPuP22rVrnQ863mO0evVqJxDmDuRlypQxs/8em3/+858+7co7bicnJzt90jtue+UNLd4+6d2Wd9/zjtuBgYF2zTXXmNnpcSEqKsqnHcbHxzvHdfTo0VamTBkrXbq0s63cgXzLli3m5+dnkZGRPuvw9klve2/evLlP/Xr7ZO598ff3d94PQ0JCLDw83B5//HGnLo8fP261atWyLl26WIkSJaxYsWJm9t/2XrNmzXzXkHvrIHd7P3bsmAUGBlpKSoozX/ny5a1Zs2ZOP/cu581IL7/8soWFhfmMHy+++KLz3u1db+5xyatXr1751pt7/PD397ft27eb2elvWAICAs74vnno0CELCgqyt956y5m2d+9eCw0NPWMgP9vYXtDxP5vdu3ebJFu5cqWZnfka8txt09sGvN+O55X3Pp28yxemXguTZ8/lgp6yUqJECbVt21aTJ0/WpEmT1LZtWxUvXtxnno0bNyo7O1tNmjRxpgUGBqpBgwZavXq1JGn16tVq2LChz3KNGjXy+fuHH37Q5MmTneu1IiIi1KpVK+Xk5GjTpk3OfPXq1ctXzhkzZqhJkyaKi4tTRESEHnroIW3duvWs+/bDDz/o8OHDiomJ8dnmpk2bnOuM8srIyNCGDRv09ddfSzp993aXLl0UHh5e4PyrV69WYmKizzXFefc7rzvvvFNvvvmmatWqpX/84x9avHixz/YzMzNVqVIl9e/fX3PnzvVZdv78+WrRooVKlSqlyMhI3Xbbbdq7d6/z1IHRo0crLCxM1113nRYuXKg6depo8uTJPuto0qSJjh49qquuukqS9Omnn+rkyZNau3at6tev7zNvgwYN8pU/KChIR44ccer173//u3bu3OlTr4cOHcrXHnJLSEhQ27Zt9eqrr0qSPvjgAx0/flydO3cucP5ixYopIyNDrVq1Urt27TR27FhlZWU5rx8+fFgDBw5UamqqihQpooiICK1evfqcbSSvqlWrKjMzU926dVNKSoqeffZZp1/ExMT4zLtx48Z81x+vXLlShw8f1j//+U9FRETo6aef1o4dO5SVlaUjR45o9erV+a7H27VrlySpW7duf5l+0blzZx09elTlypVTnz599N577+nkyZPO6999953atWunMmXKKDIyUmlpaZKUr+xffPGFMjMznX+5+1mbNm1Uvnx5vfvuu9q6dasaNmyoI0eOnHXfverVq6eVK1fq1KlTqlq1qo4cOaLGjRvL4/FowYIFGjlypKZOnardu3f7tOMaNWo4/Ts2NlZhYWEqV66c83psbKxzPH///XcdOXJEGzdu1KuvvqqwsDD97W9/k/Tf6xy9/y1durQiIiJ09dVXy8ycYz99+nQFBASofPnyBe5HzZo11aJFC7344osKCAjQm2++qX379kmS4uPjlZWVpT59+qhChQo6cuSIrrzySh06dEgdO3ZURESEpk6dWmDd5Ja37wUFBen77793xqglS5b4zD9//nxNnTpVP/30kzNG5eTkqGfPnoqIiNDtt9+uAwcO6LHHHnP2f/Xq1QoKClJgYKCk0+3Hz+/0W9rw4cPztZ9zKUwbL8x71pnUqFHD+X/vdfPe47569Wqf90rp9Jjrfa/08tZzx44dtX37ds2aNctn3H7++ecVEBCgunXrOstUrly5wHsoUlJSJP33/cN77fSnn37qzBMaGqpTp045fXLLli1OmSVp7969+vrrr/P1ybyuvfZan3E7JydHFSpUkCRdc801SkpKUrly5XTbbbdp4sSJysrK8qlnj8dT4FgmnR4/c3JydPjwYec6+ZCQEC1cuFAbN25UzZo1FRERocWLF6tz586aOHGi9u3b5xy3nTt3qk+fPnr33XclSTk5OZKkBx54QJmZmbrjjjucbQUFBem1117TO++8o5MnTzpji7e9r1ixQrNmzcr3XpPXhg0blJ2drZ9//tlpZxs3btTChQs1Y8YMRUREqHXr1pJ820iZMmV8xg/vPvz222/Oeo8cOaJrrrnGpw1PnTr1jON0gwYNVLVqVU2ZMkWSNH36dCUlJTnv9Xlt3LhRJ06c8Dk+xYoVO+vT0M42tuc9/q+99prPmLx+/Xp169ZN5cqVU1RUlJKTkyXlH/fPxjvmVa9e3acNFFZh6vVixgavC37sYc+ePTV58mRNmTJFPXv2vNDVnNPhw4d1++23+7zB/vDDD1q/fr3PG07eN/klS5bolltuUZs2bfThhx/q+++/15AhQ3TixIlzbi8+Pt5ne5mZmVq7dq0GDRpU4DIlS5ZUu3btNGnSJO3cuVMff/zxJa+T1q1ba8uWLbrvvvu0fft2tWjRQgMHDpQk1alTR5s2bdKjjz6qo0ePqkuXLurUqZOk049Fuv7661WjRg298847+u677zR+/HhJcuoiMDBQgYGB+te//qXFixcrIyNDw4YN89l+8eLFtXbtWj366KOSpBEjRuiqq65yBq9z8fPz86nX0aNHS9JZ67UgvXv31ptvvqmjR49q0qRJ6tq1q8LCws44/6RJk7RkyRI1btxYM2bMUMWKFZ2AOHDgQL333nsaMWKEvvzyS2VmZqp69ernbCN51apVS1dffbXatm2rwMBAPffcc3rxxRcL3QYOHz6s1NRUtW/fXpmZmbr66qvVoUMHrV+/XiEhIQUu8/vvv0uSnn322b9Mv0hMTNTatWv1wgsvKDQ0VHfddZeuuuoqZWdn6/fff1erVq0UFRWl1157TcuWLdN7770nSfnKXq5cOaWkpDj/vIFNkiIjI3X//ffLz89P2dnZGj58uGrWrFmox1KFh4fr8OHD8vf3dz6wTp8+XfPnz9f8+fP1xRdfaNWqVc4bhlfu7Xs8Hp+/vdO8/cj7JjVnzhylpaWpSZMmTl95++23JZ2+8VTy/eDx0EMPqWzZsipfvrwmTZqkiIgI5+akvPz9/TVv3jzdcsstCg0N1bhx41SpUiVt2rRJHo9Hu3btUmZmpvMIs+nTp6to0aIaOHCgMjMztWrVqgLrJq/cfW/x4sU6ceKEunfvrqNHj+of//iHM593jCpZsqSSk5P13XffacSIEZKksWPHKjMzU8OHD1dkZKR+/PFHp//mlZiY6DzKLzg42Kf9FMaFtPHzkbcdSCr0+OmVu55DQkJ0zTXX+Izbb7755nmXy/v+ccstt0iSevTo4bx/BAUF+fTJCRMmyMycPjlv3jwFBgbm65N53XbbbT7jdokSJZz6iIyM1PLly/XGG28oPj7eOfaHDh0qVPm9fXLlypWaPHmyevTooZIlS6p06dIaPny4/P39Vb58ed16662qUqWK0969N8Cmp6crMzNTDRo0UFpamlasWKHixYurSJEiSklJyXdDp/dk2NGjR3Xq1Cln+qRJk1SnTh3Fx8fne68pqMySVLZsWWVmZmr+/PmSpGeeeUYLFy5UZmamXnnlFUlyXvPKO35I/21H3vV+9NFHPm141apVzvhRkN69eztj2qRJk9SjR48zjh8X4mxje97jP3ToUJ8xuV27dvrtt980ceJELV26VEuXLpWUf9w/G++Y9/HHH/u0gdwnr87mQuv1fF1wIL/uuut04sQJZWdnq1WrVvleL1++vIKCgrRo0SJnWnZ2tpYtW6YqVapIklJTU/XNN9/4LJe3AdepU0erVq3yeYP1/jvbEyMWL16spKQkDRkyRPXq1VOFChW0ZcsWn3mCgoJ8OpR3ezt27FBAQEC+7eX9FiC33r17a8aMGZowYYLKly+f72xHbqmpqfrll198PkGfqePmVqJECaWnp2v69OkaM2aMJkyY4LwWFRWlrl27auLEiZoxY4beeecd/fbbb/ruu++Uk5OjUaNG6YorrlDFihW1ffv2s9ZDlSpVnMCXW2hoqFq2bClJeuWVV7RkyRIVLVpU3377rc98y5Yty7esv7+/T716zxB56zUoKEiRkZFOZzuTNm3aKDw8XC+++KLmzJlTqNBbu3ZtDR48WIsXL1a1atWcJ58sWrRIGRkZuvHGG1W9enXFxcVp8+bNZ62bM4mIiNB9992nb7/9VqGhoTp48OAZ+0VAQIDPmbtatWpp06ZNuuKKK5SSkqJ69eppzZo1SklJkZ+fn1JTU7V7926f9ZQqVUrS6TNtf5V+IZ1uY+3atdNzzz2nhQsXasmSJVq5cqXWrFmjvXv36sknn1TTpk1VuXJlnzN1kpyzo2c7Xhs3btTAgQP1yiuvqFmzZkpOTtamTZucs4L+/v5nLV/t2rV16tQpRUdHKzg4WDk5OWrRooVatGihRo0aKSUlRTVr1szXjgvTv6XT4SQ4OFhbt27VuHHj9OmnnzptMjExUZKcM4u5P3jcd999ysrK0ksvvaRVq1ble3pDYGCgT714PB6VKVNGcXFx+v777xUUFOSEqePHj6t///7q06ePgoODtXv3bu3bt08lSpTw+ZBTmH6Ru+9Vr15du3bt0sSJE/XUU09Jkvbv3++MUa1atVJ4eLgqVqzojD+bN29WSkqKEhMTZWZKSUlR2bJlJZ0eR73vQV7e5zE/8MADPu2nMArTxlNTUy/42J5Namqqz3uldHp88r5XFkaVKlWUnZ2tkydP6rvvvnOmr127tsBwm/uMaVRUlPPh/9VXX9U777zjhJDcffKxxx6TJKdPHj9+XJUqVTpjn/SORS1atPAZt/M+5SUgIEAtW7bU008/rR9//FHS6W/yvMzMZ59y8/bJ3377Tenp6Zo4caJWr16tbdu26aeffnLqJisrS4888ojT3j/44ANJp+u5f//+Kl26tNP/9uzZ47MNb3vfuHGj7rvvPk2cOFGlSpXSL7/84vOhqlixYqpTp06+95q8qlSpIn9/f504cUIpKSm64oorlJCQoCNHjqhp06ZKSUlxxvikpCRJ/80NueVte1WqVHHGj7xt2Dt+FOTWW2/Vli1b9Nxzz2nVqlVKT08/47zly5dXYGCgTz/Yt2+f1q1bd8ZlpDOP7ZLv8V+xYoU2b96sTz/9VHv37tXatWv10EMPqUWLFkpNTc13Ztvbxs41Hnk8HjVp0sSnDZzpA2RehanXwuTZc7ng53b5+/s7X6cV9CYWHh6uO++8U4MGDVKxYsVUpkwZPf300zpy5Ih69eolSbrjjjs0atQoDRo0SL1799Z3332X71KJBx54QFdccYXuuece9e7dW+Hh4Vq1apXmzZun559//ozlq1ChgrZu3ao333xT9evX10cffZSv8r1vxpmZmU5nbNmypRo1aqQOHTro6aefdgLsRx99pBtvvPGMX5t5z9499thjGj58+FnrrmXLlqpYsaLS09M1cuRIHTx4UEOGDDnrMkOHDlXdunVVtWpVHT9+XB9++KFSU1MlnT5LGh8fr9q1a8vPz08zZ85UXFyc8wk/Oztb48aNU7t27bRo0SK99NJLkk5/zXXTTTepadOmOnz4sKZPn67jx4/rqaeeUvv27bVgwQJn+97OUbp0aUmnPymGhoaqf//+uuKKKxQUFCQ/Pz+99dZb+Y6hdLrD5a5X78A9ZMgQ3XjjjUpOTpa/v79eeeUVVapUSS1atPD5wOHl7++vjIwMDR48WBUqVDjrV0KbNm3ShAkTdMMNNyghIUFr167V+vXr1b17d0mn28i7776rdu3ayePx6F//+le+M1bJycn64osv9Le//U3BwcH5wufRo0e1dOlSxcTEaMuWLfr1118VFxenG2644Yz9onnz5po/f77mzJmjMmXKKCIiQkeOHNGePXv0008/qUWLFho5cqQaNWqkyZMna9euXfL399fJkyedAWzHjh2STv/YRHJy8l+iX0yePFmnTp1Sw4YNFRYWpunTpys0NFRJSUnKyclRUFCQxo0bpzvuuEM//vij822NlzeETp8+XS1atFBoaKjCw8OdwHbq1Cm1bdtW5cuXV+3atVWtWjU1b95cOTk5ztetxYoV0+bNm7V582ZFRETkOztWsWJF3XLLLbrjjjt0/fXXa8CAAdqwYYN+//1350c/ypcvrxEjRjiPgZ0wYYLmzJlz1n33CggI0MCBA3Xfffdp1KhRuuGGGzR27FhJ0pQpU5Senq5u3bppwYIFGjRokO6++27n2CcmJmrQoEG69tpr813qkJycrAULFqhJkyZauXKlli1bpu3btys7O1vvvvuudu/erdTUVK1du1aBgYGaNm2a6tWrp27dumnQoEEKDAzUnj17tHz5ci1atEjFihXTggULnA/oeeXteyNGjNCPP/6oa6+9VuvWrdO8efMknQ6C3jFq6dKlOn78uKZNm+aMUaNHj1ZcXJxKliypw4cPa9CgQYqMjNTAgQN18803684779SMGTPUtm1bTZw40QlAv/76q5YuXeq0n8IoTBsfMGCAMjIyVK9ePTVp0kSvvfaafvrpJ59LkC7EoEGD1KVLF9WuXVstW7bUBx98oHfffTff2VHp9GUinTt3Vs+ePVWjRg1FRkbq22+/1dNPP62bbrpJ27dv1+233y7pdOgeNWqUgoODdfz4cZ/1bNu2TQ888ID8/Px05MgRvfXWW5Kk//znP4qLi1NYWJhOnDihf//7306f/PzzzyXJ6ZP+/v5atmyZ5s+frx07duTr40lJSfJ4PPr444/VpUsXZ9zO/Ui6Dz/8UD///LOuuuoqFS1aVLNnz5bH49GsWbP0/vvva+fOnfrtt9/OeMa2YsWKSktLU4cOHfTPf/5TDRs21AcffKBTp05px44dWrp0qaKiovTmm29qyJAhio2N1c6dO51HKFaoUEHTpk1TeHi4du7cqc6dOyskJEQHDx50PqAlJydr3rx5euKJJ9S8eXP16NFDP/74o8aOHatRo0apU6dOmjBhgkJDQ/Xll19q6tSpWrt2rW699dYCyxwZGel8czRlyhRdeeWV6tmzpx599FGtXbtWQ4cO1c8//yxJGj9+vIYMGaKbb75Z999/v44cOaJVq1Zp8+bNeuaZZ/Kt1zt+5OTk6Morr9SBAwe0aNEiRUVFnTFoFy1aVDfddJMzfnjf5wsSERGhXr16adCgQYqJiVHJkiU1ZMgQ54RIQc42thd0/L1jctGiRRUTE6MJEyYoPj5eW7du1YMPPuiz7pIlSyo0NFRz5sxR6dKlFRISku+Rh0uXLtWCBQt07bXXqmTJklq6dKkz5hVGYeq1MHn2nAp1pXkBF7kXJO9TVo4ePWr9+vWz4sWLn/Gxhx988IHzuJumTZvaq6++mu8i+G+++cauueYai4iIsPDwcKtRo4Y9/vjjzusF3XhnZs7d4xEREda1a1cbPXq0z00cx44ds44dO1qRIkWcu6jNzA4ePGj9+vWzhIQECwwMtMTERLvlllts69atZnbmH4L417/+5XNzxNmsXbvWrrzySgsKCrKKFSs6d2Kf6abORx991FJTUy00NNSKFStm7du3t59//tnMzCZMmGC1atWy8PBwi4qKshYtWtjy5cudbT377LMWHx9voaGh1qpVK5s6dapJsh07dtiDDz5oderUsaCgIOfGk6ZNm9qRI0d8bup88MEHrWHDhhYREWGSrHr16s5NSv/5z38sOjraPB6PNWvWzLnRpEyZMj6PPcxdr97HU3nrddeuXXbNNdc45QgJCbGOHTv63NTptXHjRpPk8wSPguzYscM6dOhg8fHxFhQUZElJSTZ06FDn7uxNmzZZ8+bNLTQ01BITE+3555/P9+imJUuWWI0aNZynFJj53tR5/PhxS05OttDQUAsKCrKEhAS75557nJu1vI+W9N7U6T1eQUFBPv1i7Nix1rhxYwsNDbWoqCirUKGClSxZ0ukXI0aMMEnOI9G87aVmzZp/mX7x3nvvWcOGDS0qKsrCw8Ptiiuu8LkR7vXXX7fk5GQLDg62Ro0a2axZs3z6yJl+2MN7s9EjjzxiMTEx1rhxYytatKiFhoZaUlKSBQQEOI+2Gzx4sAUFBTmPE8v92EPvmHTixAkbOnSoJSUlmZ+fn/MEh6JFi1qrVq3s888/t3//+9/O4wGvu+46e+aZZyw6OrrAH1vx1pt3fM3JybExY8ZYpUqVfB4R+Pnnn5vZf2/Kat68uc+x79mzp0myt956K9+xnzVrlqWkpFhAQIAlJCRYq1atLCwszDwej1WsWNG5kXn06NEWHx9v9erVcx6vmpGRYQEBAebv728lSpSwVq1a2YgRIywlJcX8/Pycusl9/PP2vWLFillcXJwzRjVo0MDnJrdnn33WIiIizOPx+IxR3rHN+2hJb314H3sYFxdnCQkJFhQUZMnJyVahQgXnmOdtP+e6qdPs3G3c7PTTnooXL24RERGWnp5u//jHPwp1U2fu97SCbmotzGMP33vvPTt27JgzbkdHR1tYWJhVqlTJHnroITty5IhlZWVZ27ZtTTr9eNqpU6ee9bGHAQEBFhER4Yy9zZo1s+XLl9ukSZMsLCzMp09WrFjR5+a3l156yUJCQpw26r0BMve2hg8fbnFxcc70p59+2mec/fLLLy0tLc3pkzVq1LDXX3/dBgwYYFFRURYaGmqRkZHWvXv3Am/q9Naxtz/q/z9Bpn79+rZixQpbtWqVtWrVyiIjI02SeTweq1atmtMnly9fbvXq1XOWzfuvUqVKNmvWLCtWrJhJpx8LaXa63yYlJVlQUJAtWLDAOnTo4DxK1HsT/saNGwu8qdPMbOjQoZaQkGCVKlWywMBAK1GihNWoUcNSUlIsKCjIea+dNm2as8xDDz1kfn5+FhQUZLVq1XKeYpP7PTL3+OFdr3dcOlN7NDNbsGCBM36cy6FDh+zWW2+1sLAwi42NzXdMzXz71tnG9oKO/4wZM5z1zJs3z1JTUy04ONhq1KhhCxcu9MlKZuY8HtXPz6/Axx5624D3UcO5xzxv+fLG4bx591z1ala4PHs2HjOz84vwOJNevXpp9+7dmjVrlttFcdXjjz+ul156Kd/Xa5fKl19+qRYtWuiXX35RbGzsH7INXDr0iz/HtGnTnHtMLocfgMKlxbh9eWP8cN+l/6m5y9CBAwe0cuVKvf7665dl6HjhhRdUv359xcTEaNGiRRo5cqTuueeeS76d48ePa/fu3Xr44YfVuXNnBvX/cZd7v/izHDlyRFlZWXryySd1++2382aKQmHchsT48T+lUOfRcVZpaWkWGhrqPCP2cnPvvfdafHy8BQcHW4UKFWz48OGWnZ19ybczadIk54dAfv3110u+flxal3u/+LMMGzbMAgIC7Oqrr3aeyQ6cC+M2zBg//pdwyQoAAADgogt+7CEAAACAi0cgBwAAAFxEIAcAAABcRCAHAAAAXEQgBwAAAFxEIAeA87Bw4UJ5PB7t37/fle0//PDDqlWrVqHnnzBhghITE+Xn56cxY8b8YeVq1qyZ7r333j9s/QDwV0YgB3DZy8jIUIcOHS7pOidOnKiaNWsqIiJCRYoUUe3atfXEE0+c1zo8Ho/ef/99n2kDBw7UggULCrX8wYMHdc899+iBBx7Qtm3b1Ldv3/PafkHO9IHk3Xff1aOPPnrR6weAyxG/1AkAl9irr76qe++9V88995zS0tJ0/PhxrVixQj/++ONFrzsiIkIRERGFmnfr1q3Kzs5W27ZtFR8ff9HbPptixYr9oesHgL8yzpADQC7Hjx9X//79VbJkSYWEhOjKK6/UsmXL8s23aNEi1ahRQyEhIbriiit8wvasWbPUpUsX9erVSykpKapataq6deumxx9/3Jln2bJluuaaa1S8eHFFR0crLS1Ny5cvd15PTk6WJN14443yeDzO33kvWVm4cKEaNGig8PBwFSlSRE2aNNGWLVs0efJkVa9eXZJUrlw5eTwebd68WRs3blT79u0VGxuriIgI1a9fX/Pnz89XBw888IASExMVHByslJQU/fvf/9bmzZvVvHlzSVLRokXl8XiUkZEhKf8lK/v27VP37t1VtGhRhYWFqXXr1lq/fr3z+uTJk1WkSBF98sknSk1NVUREhK677jplZWUV/mABwF8EgRwAcvnHP/6hd955R1OmTNHy5cuVkpKiVq1a6bfffvOZb9CgQRo1apSWLVumEiVKqF27dsrOzpYkxcXF6euvv9aWLVvOuJ1Dhw4pPT1dX331lb7++mtVqFBBbdq00aFDhyTJ+RAwadIkZWVlFfih4OTJk+rQoYPS0tK0YsUKLVmyRH379pXH41HXrl2doP3NN98oKytLiYmJOnz4sNq0aaMFCxbo+++/13XXXad27dpp69atznq7d++uN954Q88995xWr16tl19+WREREUpMTNQ777wjSVq7dq2ysrI0duzYAvcvIyND3377rWbNmqUlS5bIzNSmTRunjiTpyJEjeuaZZzRt2jR98cUX2rp1qwYOHHjOYwQAfzkGAJe59PR0a9++vR0+fNgCAwPttddec147ceKEJSQk2NNPP21mZp999plJsjfffNOZZ+/evRYaGmozZswwM7Pt27fbFVdcYZKsYsWKlp6ebjNmzLBTp06dsQynTp2yyMhI++CDD5xpkuy9997zmW/YsGFWs2ZNZ7uSbOHChQWu8/vvvzdJtmnTprPuf9WqVW3cuHFmZrZ27VqTZPPmzStwXu/+79u3z2d6WlqaDRgwwMzM1q1bZ5Js0aJFzut79uyx0NBQe+utt8zMbNKkSSbJNmzY4Mwzfvx4i42NPWtZAeCviDPkAPD/bdy4UdnZ2WrSpIkzLTAwUA0aNNDq1at95m3UqJHz/8WKFVOlSpWceeLj47VkyRKtXLlSAwYM0MmTJ5Wenq7rrrtOOTk5kqSdO3eqT58+qlChgqKjoxUVFaXDhw/7nKk+l2LFiikjI0OtWrVSu3btNHbs2HNe8nH48GENHDhQqampKlKkiCIiIrR69Wpnu5mZmfL391daWlqhy5HX6tWrFRAQoIYNGzrTYmJifOpIksLCwlS+fHnn7/j4eO3ateuCtwsA/1cRyAHgD1KtWjXdddddmj59uubNm6d58+bp888/lySlp6crMzNTY8eO1eLFi5WZmamYmBidOHHivLYxadIkLVmyRI0bN9aMGTNUsWJFff3112ecf+DAgXrvvfc0YsQIffnll8rMzFT16tWd7YaGhl74Dp+nwMBAn789Ho/M7E/bPgD8ryCQA8D/V758eQUFBWnRokXOtOzsbC1btkxVqlTxmTd36N23b5/WrVun1NTUM67bu/zvv/8u6fRNof3791ebNm1UtWpVBQcHa8+ePT7LBAYG6tSpU+csd+3atTV48GAtXrxY1apV0+uvv37GeRctWqSMjAzdeOONql69uuLi4rR582bn9erVqysnJ8f54JBXUFCQJJ21XKmpqTp58qSWLl3qTNu7d6/Wrl2brx4BAARyAHCEh4frzjvv1KBBgzRnzhytWrVKffr00ZEjR9SrVy+feYcPH64FCxboxx9/VEZGhooXL+48y/zOO+/Uo48+qkWLFmnLli36+uuv1b17d5UoUcK51KVChQqaNm2aVq9eraVLl+qWW27Jd3Y6OTlZCxYs0I4dO7Rv37585d20aZMGDx6sJUuWaMuWLZo7d67Wr19/1g8GFSpU0LvvvqvMzEz98MMPuvnmm53LaLzbTE9PV8+ePfX+++9r06ZNWrhwod566y1JUlJSkjwejz788EPt3r1bhw8fLnAb7du3V58+ffTVV1/phx9+0K233qpSpUqpffv2hTsYAHAZIZADuOzl5OQoIOD0zzI8+eST6tixo2677TbVqVNHGzZs0CeffKKiRYv6LPPkk09qwIABqlu3rnbs2KEPPvjAOXvcsmVLff311+rcubMqVqyojh07KiQkRAsWLFBMTIwk6d///rf27dunOnXq6LbbbnMetZjbqFGjNG/ePCUmJqp27dr5yh0WFqY1a9aoY8eOqlixovr27au7775bt99++xn39dlnn1XRokXVuHFjtWvXTq1atVKdOnV85nnxxRfVqVMn3XXXXapcubL69OnjnNkvVaqUHnnkET344IOKjY3VPffcU+B2Jk2apLp16+r6669Xo0aNZGaaPXt2vstUAACSx7hgD8Bl7rrrrlNKSoqef/55t4sCALgMcYYcwGVr3759+vDDD7Vw4UK1bNnS7eIAAC5TAW4XAADc0rNnTy1btkz3338/1zYDAFzDJSsAAACAi7hkBQAAAHARgRwAAABwEYEcAAAAcBGBHAAAAHARgRwAAABwEYEcAAAAcBGBHAAAAHARgRwAAABw0f8DxMZXlaztKsoAAAAASUVORK5CYII=\n"
+            "image/png": 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\n"
           },
           "metadata": {}
         }
@@ -5384,9 +5405,9 @@
           "height": 564
         },
         "id": "w-MtFFxDOv43",
-        "outputId": "12f053a8-3993-4614-adff-c2e3a1060c15"
+        "outputId": "da38b780-e69c-4d49-f914-a5013c4e1216"
       },
-      "execution_count": 174,
+      "execution_count": 131,
       "outputs": [
         {
           "output_type": "display_data",
@@ -5394,7 +5415,7 @@
             "text/plain": [
               "<Figure size 800x600 with 1 Axes>"
             ],
-            "image/png": 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\n"
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\n"
           },
           "metadata": {}
         }
@@ -5422,12 +5443,12 @@
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
-          "height": 564
+          "height": 311
         },
         "id": "VGpsXmZkPhlr",
-        "outputId": "4a85447f-801d-43e8-def2-737b1d2782f6"
+        "outputId": "f891363b-2cf2-44ca-9b31-401e4a7b77f6"
       },
-      "execution_count": 175,
+      "execution_count": 132,
       "outputs": [
         {
           "output_type": "display_data",
@@ -5435,7 +5456,7 @@
             "text/plain": [
               "<Figure size 800x600 with 1 Axes>"
             ],
-            "image/png": 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\n"
           },
           "metadata": {}
         }
@@ -5466,9 +5487,9 @@
           "height": 564
         },
         "id": "_2M8dVB1QEgC",
-        "outputId": "abdc6fab-8731-4178-911d-3e2d0f874ed3"
+        "outputId": "5827af55-980c-4562-baf9-8ab628dd77b9"
       },
-      "execution_count": 178,
+      "execution_count": 133,
       "outputs": [
         {
           "output_type": "display_data",
@@ -5507,9 +5528,9 @@
           "height": 564
         },
         "id": "u2d8P2YSQlFv",
-        "outputId": "91537098-3852-40d3-dca2-94e9a73051be"
+        "outputId": "af399122-ce73-419a-d791-d433afeb7ff2"
       },
-      "execution_count": 180,
+      "execution_count": 134,
       "outputs": [
         {
           "output_type": "display_data",
@@ -5517,7 +5538,7 @@
             "text/plain": [
               "<Figure size 800x600 with 1 Axes>"
             ],
-            "image/png": 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\n"
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\n"
           },
           "metadata": {}
         }
@@ -5541,13 +5562,343 @@
         "id": "L4aBy3o_R6FO"
       }
     },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "### **Demographic Analysis**"
+      ],
+      "metadata": {
+        "id": "tJqnyawdq3-0"
+      }
+    },
     {
       "cell_type": "code",
-      "source": [],
+      "source": [
+        "df=pd.read_csv(\"/content/drive/MyDrive/GirlsScriptOpenSource/StockOverflow/survey_results_public_2018.csv\")"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "uWuo2tnyswkm",
+        "outputId": "97ad900b-4962-429c-da7d-86e87a468379"
+      },
+      "execution_count": 148,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stderr",
+          "text": [
+            "<ipython-input-148-802ceec4e508>:1: DtypeWarning: Columns (8,12,13,14,15,16,50,51,52,53,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128) have mixed types. Specify dtype option on import or set low_memory=False.\n",
+            "  df=pd.read_csv(\"/content/drive/MyDrive/GirlsScriptOpenSource/StockOverflow/survey_results_public_2018.csv\")\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# Select relevant columns for demographic analysis\n",
+        "demographic_columns = ['Country', 'Gender', 'Age', 'FormalEducation', 'RaceEthnicity']"
+      ],
+      "metadata": {
+        "id": "IH-r1_0osfFS"
+      },
+      "execution_count": 150,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# Filter the dataset with selected columns\n",
+        "demographic_df = df[demographic_columns]"
+      ],
+      "metadata": {
+        "id": "Ajmyyg3zsn_a"
+      },
+      "execution_count": 151,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# Function to plot demographic distributions\n",
+        "def plot_demographic_distribution(column, title):\n",
+        "    plt.figure(figsize=(12, 8))\n",
+        "    sns.countplot(y=demographic_df[column], order=demographic_df[column].value_counts().index)\n",
+        "    plt.title(f'{title} Distribution')\n",
+        "    plt.xlabel('Count')\n",
+        "    plt.ylabel(title)\n",
+        "    plt.show()"
+      ],
       "metadata": {
         "id": "dN_q00K1RP_g"
       },
-      "execution_count": null,
+      "execution_count": 152,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# Plot distribution of gender\n",
+        "plot_demographic_distribution('Gender', 'Gender')"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 587
+        },
+        "id": "jah55Gz2rJlx",
+        "outputId": "9e33e85f-95e0-479c-d36c-760a9329566e"
+      },
+      "execution_count": 153,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 1200x800 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# Plot distribution of age\n",
+        "plt.figure(figsize=(12, 8))\n",
+        "sns.histplot(demographic_df['Age'].dropna(), bins=30, kde=True)\n",
+        "plt.title('Age Distribution')\n",
+        "plt.xlabel('Age')\n",
+        "plt.ylabel('Count')\n",
+        "plt.show()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 718
+        },
+        "id": "HdufPIlurTcQ",
+        "outputId": "0a8261cd-9a21-46b7-a0b0-f7cafadd7092"
+      },
+      "execution_count": 154,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 1200x800 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# Plot distribution of formal education\n",
+        "plot_demographic_distribution('FormalEducation', 'Formal Education')"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 568
+        },
+        "id": "Qx0UauzQrYHt",
+        "outputId": "49946467-8298-408b-f336-86c749b88767"
+      },
+      "execution_count": 155,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 1200x800 with 1 Axes>"
+            ],
+            "image/png": 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+          },
+          "metadata": {}
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "**Insights and Conclusions of Demographic Analysis**"
+      ],
+      "metadata": {
+        "id": "eV7RD6AIreBd"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# Country insights\n",
+        "top_countries = demographic_df['Country'].value_counts().head(10)\n",
+        "print(f\"Top 10 countries by number of respondents:\\n{top_countries}\\n\")"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "myZ92ObkrlOo",
+        "outputId": "beb49090-d02c-4e87-9169-c69bc663f398"
+      },
+      "execution_count": 156,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Top 10 countries by number of respondents:\n",
+            "Country\n",
+            "United States         20309\n",
+            "India                 13721\n",
+            "Germany                6459\n",
+            "United Kingdom         6221\n",
+            "Canada                 3393\n",
+            "Russian Federation     2869\n",
+            "France                 2572\n",
+            "Brazil                 2505\n",
+            "Poland                 2122\n",
+            "Australia              2018\n",
+            "Name: count, dtype: int64\n",
+            "\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "    # Gender insights\n",
+        "    gender_distribution = demographic_df['Gender'].value_counts()\n",
+        "    print(f\"Gender distribution:\\n{gender_distribution}\\n\")"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "D8_SekwCrwZE",
+        "outputId": "70b31102-f43e-413a-da9f-6ced11498de3"
+      },
+      "execution_count": 157,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Gender distribution:\n",
+            "Gender\n",
+            "Male                                                                         59458\n",
+            "Female                                                                        4025\n",
+            "Non-binary, genderqueer, or gender non-conforming                              284\n",
+            "Female;Transgender                                                             145\n",
+            "Male;Non-binary, genderqueer, or gender non-conforming                         128\n",
+            "Transgender                                                                    105\n",
+            "Female;Male                                                                     98\n",
+            "Transgender;Non-binary, genderqueer, or gender non-conforming                   51\n",
+            "Female;Male;Transgender;Non-binary, genderqueer, or gender non-conforming       50\n",
+            "Female;Non-binary, genderqueer, or gender non-conforming                        50\n",
+            "Male;Transgender                                                                29\n",
+            "Female;Transgender;Non-binary, genderqueer, or gender non-conforming            24\n",
+            "Female;Male;Transgender                                                         14\n",
+            "Male;Transgender;Non-binary, genderqueer, or gender non-conforming               5\n",
+            "Female;Male;Non-binary, genderqueer, or gender non-conforming                    3\n",
+            "Name: count, dtype: int64\n",
+            "\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "    # Formal education insights\n",
+        "    education_distribution = demographic_df['FormalEducation'].value_counts()\n",
+        "    print(f\"Distribution of formal education:\\n{education_distribution}\\n\")"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "TzHdt60trybh",
+        "outputId": "9c37b3ab-5713-4ade-afbd-b65a167c0a82"
+      },
+      "execution_count": 158,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Distribution of formal education:\n",
+            "FormalEducation\n",
+            "Bachelor’s degree (BA, BS, B.Eng., etc.)                                              43659\n",
+            "Master’s degree (MA, MS, M.Eng., MBA, etc.)                                           21396\n",
+            "Some college/university study without earning a degree                                11710\n",
+            "Secondary school (e.g. American high school, German Realschule or Gymnasium, etc.)     8951\n",
+            "Associate degree                                                                       2970\n",
+            "Other doctoral degree (Ph.D, Ed.D., etc.)                                              2214\n",
+            "Primary/elementary school                                                              1656\n",
+            "Professional degree (JD, MD, etc.)                                                     1447\n",
+            "I never completed any formal education                                                  700\n",
+            "Name: count, dtype: int64\n",
+            "\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "    # Race/Ethnicity insights\n",
+        "    race_ethnicity_distribution = demographic_df['RaceEthnicity'].value_counts()\n",
+        "    print(f\"Race/Ethnicity distribution:\\n{race_ethnicity_distribution}\\n\")"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "drvae8XYr05f",
+        "outputId": "d080e9fe-713a-4e2c-ad73-231a99afb29f"
+      },
+      "execution_count": 159,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Race/Ethnicity distribution:\n",
+            "RaceEthnicity\n",
+            "White or of European descent                                                                                                                 40541\n",
+            "South Asian                                                                                                                                   6213\n",
+            "Hispanic or Latino/Latina                                                                                                                     2718\n",
+            "East Asian                                                                                                                                    2350\n",
+            "Middle Eastern                                                                                                                                1774\n",
+            "                                                                                                                                             ...  \n",
+            "Hispanic or Latino/Latina;Middle Eastern;Native American, Pacific Islander, or Indigenous Australian                                             1\n",
+            "Black or of African descent;Hispanic or Latino/Latina;South Asian                                                                                1\n",
+            "East Asian;Hispanic or Latino/Latina;Native American, Pacific Islander, or Indigenous Australian;South Asian;White or of European descent        1\n",
+            "East Asian;Hispanic or Latino/Latina;Middle Eastern                                                                                              1\n",
+            "East Asian;Middle Eastern;South Asian;White or of European descent                                                                               1\n",
+            "Name: count, Length: 71, dtype: int64\n",
+            "\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [],
+      "metadata": {
+        "id": "Wnc0cbzCtvdD"
+      },
+      "execution_count": 159,
       "outputs": []
     }
   ]