diff --git a/ConsumerComplaints.ipynb b/ConsumerComplaints.ipynb
new file mode 100644
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--- /dev/null
+++ b/ConsumerComplaints.ipynb
@@ -0,0 +1,2667 @@
+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "provenance": [],
+      "authorship_tag": "ABX9TyM1pHi6Jkv+I7XWQRVpEAYA",
+      "include_colab_link": true
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "view-in-github",
+        "colab_type": "text"
+      },
+      "source": [
+        "<a href=\"https://colab.research.google.com/github/zhueric2004/quant-assessment/blob/main/ConsumerComplaints.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "# Consumer Complaints Data Analysis\n",
+        "\n",
+        "Import needed libraries\n"
+      ],
+      "metadata": {
+        "id": "T0LoMEgre2xa"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "pip install geopandas"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "JdNFq54yzq52",
+        "outputId": "ced9d9a3-00f2-400c-8511-5466caf8a73d"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
+            "Requirement already satisfied: geopandas in /usr/local/lib/python3.7/dist-packages (0.10.2)\n",
+            "Requirement already satisfied: shapely>=1.6 in /usr/local/lib/python3.7/dist-packages (from geopandas) (1.8.4)\n",
+            "Requirement already satisfied: fiona>=1.8 in /usr/local/lib/python3.7/dist-packages (from geopandas) (1.8.21)\n",
+            "Requirement already satisfied: pandas>=0.25.0 in /usr/local/lib/python3.7/dist-packages (from geopandas) (1.3.5)\n",
+            "Requirement already satisfied: pyproj>=2.2.0 in /usr/local/lib/python3.7/dist-packages (from geopandas) (3.2.1)\n",
+            "Requirement already satisfied: cligj>=0.5 in /usr/local/lib/python3.7/dist-packages (from fiona>=1.8->geopandas) (0.7.2)\n",
+            "Requirement already satisfied: certifi in /usr/local/lib/python3.7/dist-packages (from fiona>=1.8->geopandas) (2022.6.15)\n",
+            "Requirement already satisfied: click-plugins>=1.0 in /usr/local/lib/python3.7/dist-packages (from fiona>=1.8->geopandas) (1.1.1)\n",
+            "Requirement already satisfied: setuptools in /usr/local/lib/python3.7/dist-packages (from fiona>=1.8->geopandas) (57.4.0)\n",
+            "Requirement already satisfied: munch in /usr/local/lib/python3.7/dist-packages (from fiona>=1.8->geopandas) (2.5.0)\n",
+            "Requirement already satisfied: attrs>=17 in /usr/local/lib/python3.7/dist-packages (from fiona>=1.8->geopandas) (22.1.0)\n",
+            "Requirement already satisfied: six>=1.7 in /usr/local/lib/python3.7/dist-packages (from fiona>=1.8->geopandas) (1.15.0)\n",
+            "Requirement already satisfied: click>=4.0 in /usr/local/lib/python3.7/dist-packages (from fiona>=1.8->geopandas) (7.1.2)\n",
+            "Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.7/dist-packages (from pandas>=0.25.0->geopandas) (2.8.2)\n",
+            "Requirement already satisfied: numpy>=1.17.3 in /usr/local/lib/python3.7/dist-packages (from pandas>=0.25.0->geopandas) (1.21.6)\n",
+            "Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.7/dist-packages (from pandas>=0.25.0->geopandas) (2022.2.1)\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "aJ0RlGT3PzHp",
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "outputId": "e73c18d2-9cb2-47c0-d722-3a4c4120cec1"
+      },
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
+          ]
+        }
+      ],
+      "source": [
+        "import pandas as pd\n",
+        "import numpy as np\n",
+        "import matplotlib.pyplot as plt\n",
+        "import geopandas as gpd\n",
+        "from geopandas import GeoDataFrame\n",
+        "from google.colab import drive\n",
+        "from statsmodels.formula.api import ols\n",
+        "drive.mount('/content/drive')"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Reads files from Google Drive, your file path may be different"
+      ],
+      "metadata": {
+        "id": "Hk50d2WuKH__"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "data = pd.read_csv(\"/content/drive/MyDrive/Quant/consumer_complaints.csv\")\n",
+        "populations = pd.read_csv(\"/content/drive/MyDrive/Quant/Populations.csv\")\n",
+        "stateMap = gpd.read_file(\"/content/drive/MyDrive/Quant/tl_2021_us_state/tl_2021_us_state.shp\")  \n",
+        "data.head()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 479
+        },
+        "id": "Cuy6rIxOQaGC",
+        "outputId": "c73eac55-7e27-49bc-9ea6-24f255392d9b"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stderr",
+          "text": [
+            "/usr/local/lib/python3.7/dist-packages/IPython/core/interactiveshell.py:3326: DtypeWarning: Columns (5,11) have mixed types.Specify dtype option on import or set low_memory=False.\n",
+            "  exec(code_obj, self.user_global_ns, self.user_ns)\n"
+          ]
+        },
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "  date_received           product               sub_product  \\\n",
+              "0    08/30/2013          Mortgage            Other mortgage   \n",
+              "1    08/30/2013          Mortgage            Other mortgage   \n",
+              "2    08/30/2013  Credit reporting                       NaN   \n",
+              "3    08/30/2013      Student loan  Non-federal student loan   \n",
+              "4    08/30/2013   Debt collection               Credit card   \n",
+              "\n",
+              "                                      issue  \\\n",
+              "0  Loan modification,collection,foreclosure   \n",
+              "1  Loan servicing, payments, escrow account   \n",
+              "2    Incorrect information on credit report   \n",
+              "3                        Repaying your loan   \n",
+              "4        False statements or representation   \n",
+              "\n",
+              "                           sub_issue consumer_complaint_narrative  \\\n",
+              "0                                NaN                          NaN   \n",
+              "1                                NaN                          NaN   \n",
+              "2                     Account status                          NaN   \n",
+              "3                 Repaying your loan                          NaN   \n",
+              "4  Attempted to collect wrong amount                          NaN   \n",
+              "\n",
+              "  company_public_response                          company state zipcode tags  \\\n",
+              "0                     NaN                     U.S. Bancorp    CA   95993  NaN   \n",
+              "1                     NaN            Wells Fargo & Company    CA   91104  NaN   \n",
+              "2                     NaN            Wells Fargo & Company    NY   11764  NaN   \n",
+              "3                     NaN          Navient Solutions, Inc.    MD   21402  NaN   \n",
+              "4                     NaN  Resurgent Capital Services L.P.    GA   30106  NaN   \n",
+              "\n",
+              "  consumer_consent_provided submitted_via date_sent_to_company  \\\n",
+              "0                       NaN      Referral           09/03/2013   \n",
+              "1                       NaN      Referral           09/03/2013   \n",
+              "2                       NaN   Postal mail           09/18/2013   \n",
+              "3                       NaN         Email           08/30/2013   \n",
+              "4                       NaN           Web           08/30/2013   \n",
+              "\n",
+              "  company_response_to_consumer timely_response consumer_disputed?  \\\n",
+              "0      Closed with explanation             Yes                Yes   \n",
+              "1      Closed with explanation             Yes                Yes   \n",
+              "2      Closed with explanation             Yes                 No   \n",
+              "3      Closed with explanation             Yes                Yes   \n",
+              "4      Closed with explanation             Yes                Yes   \n",
+              "\n",
+              "   complaint_id  \n",
+              "0        511074  \n",
+              "1        511080  \n",
+              "2        510473  \n",
+              "3        510326  \n",
+              "4        511067  "
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-cf0b3a45-6d59-4661-8d4b-ef3845bfc949\">\n",
+              "    <div class=\"colab-df-container\">\n",
+              "      <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
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+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>date_received</th>\n",
+              "      <th>product</th>\n",
+              "      <th>sub_product</th>\n",
+              "      <th>issue</th>\n",
+              "      <th>sub_issue</th>\n",
+              "      <th>consumer_complaint_narrative</th>\n",
+              "      <th>company_public_response</th>\n",
+              "      <th>company</th>\n",
+              "      <th>state</th>\n",
+              "      <th>zipcode</th>\n",
+              "      <th>tags</th>\n",
+              "      <th>consumer_consent_provided</th>\n",
+              "      <th>submitted_via</th>\n",
+              "      <th>date_sent_to_company</th>\n",
+              "      <th>company_response_to_consumer</th>\n",
+              "      <th>timely_response</th>\n",
+              "      <th>consumer_disputed?</th>\n",
+              "      <th>complaint_id</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>08/30/2013</td>\n",
+              "      <td>Mortgage</td>\n",
+              "      <td>Other mortgage</td>\n",
+              "      <td>Loan modification,collection,foreclosure</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>U.S. Bancorp</td>\n",
+              "      <td>CA</td>\n",
+              "      <td>95993</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>Referral</td>\n",
+              "      <td>09/03/2013</td>\n",
+              "      <td>Closed with explanation</td>\n",
+              "      <td>Yes</td>\n",
+              "      <td>Yes</td>\n",
+              "      <td>511074</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>08/30/2013</td>\n",
+              "      <td>Mortgage</td>\n",
+              "      <td>Other mortgage</td>\n",
+              "      <td>Loan servicing, payments, escrow account</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>Wells Fargo &amp; Company</td>\n",
+              "      <td>CA</td>\n",
+              "      <td>91104</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>Referral</td>\n",
+              "      <td>09/03/2013</td>\n",
+              "      <td>Closed with explanation</td>\n",
+              "      <td>Yes</td>\n",
+              "      <td>Yes</td>\n",
+              "      <td>511080</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>08/30/2013</td>\n",
+              "      <td>Credit reporting</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>Incorrect information on credit report</td>\n",
+              "      <td>Account status</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>Wells Fargo &amp; Company</td>\n",
+              "      <td>NY</td>\n",
+              "      <td>11764</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>Postal mail</td>\n",
+              "      <td>09/18/2013</td>\n",
+              "      <td>Closed with explanation</td>\n",
+              "      <td>Yes</td>\n",
+              "      <td>No</td>\n",
+              "      <td>510473</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>08/30/2013</td>\n",
+              "      <td>Student loan</td>\n",
+              "      <td>Non-federal student loan</td>\n",
+              "      <td>Repaying your loan</td>\n",
+              "      <td>Repaying your loan</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>Navient Solutions, Inc.</td>\n",
+              "      <td>MD</td>\n",
+              "      <td>21402</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>Email</td>\n",
+              "      <td>08/30/2013</td>\n",
+              "      <td>Closed with explanation</td>\n",
+              "      <td>Yes</td>\n",
+              "      <td>Yes</td>\n",
+              "      <td>510326</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>08/30/2013</td>\n",
+              "      <td>Debt collection</td>\n",
+              "      <td>Credit card</td>\n",
+              "      <td>False statements or representation</td>\n",
+              "      <td>Attempted to collect wrong amount</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>Resurgent Capital Services L.P.</td>\n",
+              "      <td>GA</td>\n",
+              "      <td>30106</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>Web</td>\n",
+              "      <td>08/30/2013</td>\n",
+              "      <td>Closed with explanation</td>\n",
+              "      <td>Yes</td>\n",
+              "      <td>Yes</td>\n",
+              "      <td>511067</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-cf0b3a45-6d59-4661-8d4b-ef3845bfc949')\"\n",
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+              "      </button>\n",
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+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      flex-wrap:wrap;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
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+              "    .colab-df-convert:hover {\n",
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+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
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+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
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+              "        buttonEl.style.display =\n",
+              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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+              "        async function convertToInteractive(key) {\n",
+              "          const element = document.querySelector('#df-cf0b3a45-6d59-4661-8d4b-ef3845bfc949');\n",
+              "          const dataTable =\n",
+              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                     [key], {});\n",
+              "          if (!dataTable) return;\n",
+              "\n",
+              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "            + ' to learn more about interactive tables.';\n",
+              "          element.innerHTML = '';\n",
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+              "      </script>\n",
+              "    </div>\n",
+              "  </div>\n",
+              "  "
+            ]
+          },
+          "metadata": {},
+          "execution_count": 101
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Any irrelevant column that will not affect our data analysis is deleted from the datasets"
+      ],
+      "metadata": {
+        "id": "KfXE-qbcKQIm"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "data.drop(['date_sent_to_company','date_received','consumer_consent_provided','complaint_id','company'], axis = 1, inplace = True)\n",
+        "data.head()"
+      ],
+      "metadata": {
+        "id": "P5RWlA74Q2pk",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 392
+        },
+        "outputId": "0ba8b710-c824-45fa-f098-d9b233081351"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "            product               sub_product  \\\n",
+              "0          Mortgage            Other mortgage   \n",
+              "1          Mortgage            Other mortgage   \n",
+              "2  Credit reporting                       NaN   \n",
+              "3      Student loan  Non-federal student loan   \n",
+              "4   Debt collection               Credit card   \n",
+              "\n",
+              "                                      issue  \\\n",
+              "0  Loan modification,collection,foreclosure   \n",
+              "1  Loan servicing, payments, escrow account   \n",
+              "2    Incorrect information on credit report   \n",
+              "3                        Repaying your loan   \n",
+              "4        False statements or representation   \n",
+              "\n",
+              "                           sub_issue consumer_complaint_narrative  \\\n",
+              "0                                NaN                          NaN   \n",
+              "1                                NaN                          NaN   \n",
+              "2                     Account status                          NaN   \n",
+              "3                 Repaying your loan                          NaN   \n",
+              "4  Attempted to collect wrong amount                          NaN   \n",
+              "\n",
+              "  company_public_response state zipcode tags submitted_via  \\\n",
+              "0                     NaN    CA   95993  NaN      Referral   \n",
+              "1                     NaN    CA   91104  NaN      Referral   \n",
+              "2                     NaN    NY   11764  NaN   Postal mail   \n",
+              "3                     NaN    MD   21402  NaN         Email   \n",
+              "4                     NaN    GA   30106  NaN           Web   \n",
+              "\n",
+              "  company_response_to_consumer timely_response consumer_disputed?  \n",
+              "0      Closed with explanation             Yes                Yes  \n",
+              "1      Closed with explanation             Yes                Yes  \n",
+              "2      Closed with explanation             Yes                 No  \n",
+              "3      Closed with explanation             Yes                Yes  \n",
+              "4      Closed with explanation             Yes                Yes  "
+            ],
+            "text/html": [
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+              "      <th></th>\n",
+              "      <th>product</th>\n",
+              "      <th>sub_product</th>\n",
+              "      <th>issue</th>\n",
+              "      <th>sub_issue</th>\n",
+              "      <th>consumer_complaint_narrative</th>\n",
+              "      <th>company_public_response</th>\n",
+              "      <th>state</th>\n",
+              "      <th>zipcode</th>\n",
+              "      <th>tags</th>\n",
+              "      <th>submitted_via</th>\n",
+              "      <th>company_response_to_consumer</th>\n",
+              "      <th>timely_response</th>\n",
+              "      <th>consumer_disputed?</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>Mortgage</td>\n",
+              "      <td>Other mortgage</td>\n",
+              "      <td>Loan modification,collection,foreclosure</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>CA</td>\n",
+              "      <td>95993</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>Referral</td>\n",
+              "      <td>Closed with explanation</td>\n",
+              "      <td>Yes</td>\n",
+              "      <td>Yes</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>Mortgage</td>\n",
+              "      <td>Other mortgage</td>\n",
+              "      <td>Loan servicing, payments, escrow account</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>CA</td>\n",
+              "      <td>91104</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>Referral</td>\n",
+              "      <td>Closed with explanation</td>\n",
+              "      <td>Yes</td>\n",
+              "      <td>Yes</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>Credit reporting</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>Incorrect information on credit report</td>\n",
+              "      <td>Account status</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NY</td>\n",
+              "      <td>11764</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>Postal mail</td>\n",
+              "      <td>Closed with explanation</td>\n",
+              "      <td>Yes</td>\n",
+              "      <td>No</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>Student loan</td>\n",
+              "      <td>Non-federal student loan</td>\n",
+              "      <td>Repaying your loan</td>\n",
+              "      <td>Repaying your loan</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>MD</td>\n",
+              "      <td>21402</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>Email</td>\n",
+              "      <td>Closed with explanation</td>\n",
+              "      <td>Yes</td>\n",
+              "      <td>Yes</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>Debt collection</td>\n",
+              "      <td>Credit card</td>\n",
+              "      <td>False statements or representation</td>\n",
+              "      <td>Attempted to collect wrong amount</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>GA</td>\n",
+              "      <td>30106</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>Web</td>\n",
+              "      <td>Closed with explanation</td>\n",
+              "      <td>Yes</td>\n",
+              "      <td>Yes</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-438563ab-a850-468b-9869-37e2368997b8')\"\n",
+              "              title=\"Convert this dataframe to an interactive table.\"\n",
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+              "\n",
+              "    .colab-df-convert {\n",
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+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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+              "  </style>\n",
+              "\n",
+              "      <script>\n",
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+              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "        async function convertToInteractive(key) {\n",
+              "          const element = document.querySelector('#df-438563ab-a850-468b-9869-37e2368997b8');\n",
+              "          const dataTable =\n",
+              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                     [key], {});\n",
+              "          if (!dataTable) return;\n",
+              "\n",
+              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "            + ' to learn more about interactive tables.';\n",
+              "          element.innerHTML = '';\n",
+              "          dataTable['output_type'] = 'display_data';\n",
+              "          await google.colab.output.renderOutput(dataTable, element);\n",
+              "          const docLink = document.createElement('div');\n",
+              "          docLink.innerHTML = docLinkHtml;\n",
+              "          element.appendChild(docLink);\n",
+              "        }\n",
+              "      </script>\n",
+              "    </div>\n",
+              "  </div>\n",
+              "  "
+            ]
+          },
+          "metadata": {},
+          "execution_count": 102
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Removes all irrelevant columns from the GeoDataFrame"
+      ],
+      "metadata": {
+        "id": "fygucX9Bb1rP"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "stateMap = stateMap.drop([34,35,36,41])"
+      ],
+      "metadata": {
+        "id": "k8XlfwY9jyol"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "stateMap.drop(['REGION','DIVISION','STATEFP','STATENS','GEOID', 'LSAD', 'MTFCC', 'FUNCSTAT','ALAND', 'AWATER'], axis = 1, inplace = True)\n",
+        "stateMap.head()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 206
+        },
+        "id": "ZbL0AU4DoYMd",
+        "outputId": "0e11ab92-ad27-453d-fc50-4f219050f857"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "  STUSPS           NAME     INTPTLAT      INTPTLON  \\\n",
+              "0     WV  West Virginia  +38.6472854  -080.6183274   \n",
+              "1     FL        Florida  +28.3989775  -082.5143005   \n",
+              "2     IL       Illinois  +40.1028754  -089.1526108   \n",
+              "3     MN      Minnesota  +46.3159573  -094.1996043   \n",
+              "4     MD       Maryland  +38.9466584  -076.6744939   \n",
+              "\n",
+              "                                            geometry  \n",
+              "0  POLYGON ((-80.85847 37.42831, -80.85856 37.428...  \n",
+              "1  MULTIPOLYGON (((-83.10874 24.62949, -83.10711 ...  \n",
+              "2  POLYGON ((-89.17208 37.06831, -89.17296 37.067...  \n",
+              "3  POLYGON ((-92.74568 45.29604, -92.74629 45.295...  \n",
+              "4  POLYGON ((-75.76659 39.37756, -75.76630 39.373...  "
+            ],
+            "text/html": [
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+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>STUSPS</th>\n",
+              "      <th>NAME</th>\n",
+              "      <th>INTPTLAT</th>\n",
+              "      <th>INTPTLON</th>\n",
+              "      <th>geometry</th>\n",
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+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>WV</td>\n",
+              "      <td>West Virginia</td>\n",
+              "      <td>+38.6472854</td>\n",
+              "      <td>-080.6183274</td>\n",
+              "      <td>POLYGON ((-80.85847 37.42831, -80.85856 37.428...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>FL</td>\n",
+              "      <td>Florida</td>\n",
+              "      <td>+28.3989775</td>\n",
+              "      <td>-082.5143005</td>\n",
+              "      <td>MULTIPOLYGON (((-83.10874 24.62949, -83.10711 ...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>IL</td>\n",
+              "      <td>Illinois</td>\n",
+              "      <td>+40.1028754</td>\n",
+              "      <td>-089.1526108</td>\n",
+              "      <td>POLYGON ((-89.17208 37.06831, -89.17296 37.067...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>MN</td>\n",
+              "      <td>Minnesota</td>\n",
+              "      <td>+46.3159573</td>\n",
+              "      <td>-094.1996043</td>\n",
+              "      <td>POLYGON ((-92.74568 45.29604, -92.74629 45.295...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>MD</td>\n",
+              "      <td>Maryland</td>\n",
+              "      <td>+38.9466584</td>\n",
+              "      <td>-076.6744939</td>\n",
+              "      <td>POLYGON ((-75.76659 39.37756, -75.76630 39.373...</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-dad9790b-edd0-45b4-8ca9-7340b0fbc949')\"\n",
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+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
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+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "      <script>\n",
+              "        const buttonEl =\n",
+              "          document.querySelector('#df-dad9790b-edd0-45b4-8ca9-7340b0fbc949 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-dad9790b-edd0-45b4-8ca9-7340b0fbc949');\n",
+              "          const dataTable =\n",
+              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                     [key], {});\n",
+              "          if (!dataTable) return;\n",
+              "\n",
+              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "            + ' to learn more about interactive tables.';\n",
+              "          element.innerHTML = '';\n",
+              "          dataTable['output_type'] = 'display_data';\n",
+              "          await google.colab.output.renderOutput(dataTable, element);\n",
+              "          const docLink = document.createElement('div');\n",
+              "          docLink.innerHTML = docLinkHtml;\n",
+              "          element.appendChild(docLink);\n",
+              "        }\n",
+              "      </script>\n",
+              "    </div>\n",
+              "  </div>\n",
+              "  "
+            ]
+          },
+          "metadata": {},
+          "execution_count": 104
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Finds the frequency of each entry in a column and converts it to a dataframe"
+      ],
+      "metadata": {
+        "id": "kv9tDRWLKWsU"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "def frequencyToDataframe(df, column):\n",
+        "  return df[column].value_counts().to_frame()"
+      ],
+      "metadata": {
+        "id": "jobsIO6wfPqA"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Takes the dataframe above and merges it with the shapefile"
+      ],
+      "metadata": {
+        "id": "9U2igoYiKmfB"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "def frequencyByState(df, newName, stateMap):\n",
+        "  df.index.names = ['STUSPS']\n",
+        "  df.rename({'state': newName}, axis='columns', inplace = True)\n",
+        "  stateMap = stateMap.merge(df, on='STUSPS')\n",
+        "  return stateMap"
+      ],
+      "metadata": {
+        "id": "IGuFBbrjjOqA"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "# Analyzing Complaints and Disputers per State\n",
+        "Counts the number of total entries per state and merges with shapefile"
+      ],
+      "metadata": {
+        "id": "1gfAbUyyKto0"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "stateFreq = frequencyToDataframe(data, 'state')\n",
+        "stateMap = frequencyByState(stateFreq, 'total', stateMap)"
+      ],
+      "metadata": {
+        "id": "WBFJGyMq-orp"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Merges the population dataset with the shapefile to do per capita analysis"
+      ],
+      "metadata": {
+        "id": "DOLiEnPbLCkG"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "stateMap = stateMap.merge(populations, on = 'NAME')"
+      ],
+      "metadata": {
+        "id": "1caDSnr-wMs5"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Population is entered as string, is converted into float for mathematical purposes"
+      ],
+      "metadata": {
+        "id": "dbYVcFt1LGUB"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "stateMap['Population'] = stateMap['Population'].str.replace(',', '').astype(float)\n",
+        "stateMap[\"proportion\"] = stateMap[\"total\"]/stateMap[\"Population\"] * 100\n",
+        "stateMap.head()"
+      ],
+      "metadata": {
+        "id": "eC89hPg4_KNE",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 206
+        },
+        "outputId": "f4facfcd-a7b3-4bb3-b5ef-f8c57fc43b0e"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "  STUSPS           NAME     INTPTLAT      INTPTLON  \\\n",
+              "0     WV  West Virginia  +38.6472854  -080.6183274   \n",
+              "1     FL        Florida  +28.3989775  -082.5143005   \n",
+              "2     IL       Illinois  +40.1028754  -089.1526108   \n",
+              "3     MN      Minnesota  +46.3159573  -094.1996043   \n",
+              "4     MD       Maryland  +38.9466584  -076.6744939   \n",
+              "\n",
+              "                                            geometry  total  Population  \\\n",
+              "0  POLYGON ((-80.85847 37.42831, -80.85856 37.428...   1457   1782959.0   \n",
+              "1  MULTIPOLYGON (((-83.10874 24.62949, -83.10711 ...  53673  21781128.0   \n",
+              "2  POLYGON ((-89.17208 37.06831, -89.17296 37.067...  19624  12671469.0   \n",
+              "3  POLYGON ((-92.74568 45.29604, -92.74629 45.295...   6424   5707390.0   \n",
+              "4  POLYGON ((-75.76659 39.37756, -75.76630 39.373...  17703   6165129.0   \n",
+              "\n",
+              "   proportion  \n",
+              "0    0.081718  \n",
+              "1    0.246420  \n",
+              "2    0.154868  \n",
+              "3    0.112556  \n",
+              "4    0.287147  "
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-c54ef815-7baf-481f-b485-e9c2e1ffc3c3\">\n",
+              "    <div class=\"colab-df-container\">\n",
+              "      <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
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+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>STUSPS</th>\n",
+              "      <th>NAME</th>\n",
+              "      <th>INTPTLAT</th>\n",
+              "      <th>INTPTLON</th>\n",
+              "      <th>geometry</th>\n",
+              "      <th>total</th>\n",
+              "      <th>Population</th>\n",
+              "      <th>proportion</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>WV</td>\n",
+              "      <td>West Virginia</td>\n",
+              "      <td>+38.6472854</td>\n",
+              "      <td>-080.6183274</td>\n",
+              "      <td>POLYGON ((-80.85847 37.42831, -80.85856 37.428...</td>\n",
+              "      <td>1457</td>\n",
+              "      <td>1782959.0</td>\n",
+              "      <td>0.081718</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>FL</td>\n",
+              "      <td>Florida</td>\n",
+              "      <td>+28.3989775</td>\n",
+              "      <td>-082.5143005</td>\n",
+              "      <td>MULTIPOLYGON (((-83.10874 24.62949, -83.10711 ...</td>\n",
+              "      <td>53673</td>\n",
+              "      <td>21781128.0</td>\n",
+              "      <td>0.246420</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>IL</td>\n",
+              "      <td>Illinois</td>\n",
+              "      <td>+40.1028754</td>\n",
+              "      <td>-089.1526108</td>\n",
+              "      <td>POLYGON ((-89.17208 37.06831, -89.17296 37.067...</td>\n",
+              "      <td>19624</td>\n",
+              "      <td>12671469.0</td>\n",
+              "      <td>0.154868</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>MN</td>\n",
+              "      <td>Minnesota</td>\n",
+              "      <td>+46.3159573</td>\n",
+              "      <td>-094.1996043</td>\n",
+              "      <td>POLYGON ((-92.74568 45.29604, -92.74629 45.295...</td>\n",
+              "      <td>6424</td>\n",
+              "      <td>5707390.0</td>\n",
+              "      <td>0.112556</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>MD</td>\n",
+              "      <td>Maryland</td>\n",
+              "      <td>+38.9466584</td>\n",
+              "      <td>-076.6744939</td>\n",
+              "      <td>POLYGON ((-75.76659 39.37756, -75.76630 39.373...</td>\n",
+              "      <td>17703</td>\n",
+              "      <td>6165129.0</td>\n",
+              "      <td>0.287147</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-c54ef815-7baf-481f-b485-e9c2e1ffc3c3')\"\n",
+              "              title=\"Convert this dataframe to an interactive table.\"\n",
+              "              style=\"display:none;\">\n",
+              "        \n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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+              "  </svg>\n",
+              "      </button>\n",
+              "      \n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      flex-wrap:wrap;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "      <script>\n",
+              "        const buttonEl =\n",
+              "          document.querySelector('#df-c54ef815-7baf-481f-b485-e9c2e1ffc3c3 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-c54ef815-7baf-481f-b485-e9c2e1ffc3c3');\n",
+              "          const dataTable =\n",
+              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                     [key], {});\n",
+              "          if (!dataTable) return;\n",
+              "\n",
+              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "            + ' to learn more about interactive tables.';\n",
+              "          element.innerHTML = '';\n",
+              "          dataTable['output_type'] = 'display_data';\n",
+              "          await google.colab.output.renderOutput(dataTable, element);\n",
+              "          const docLink = document.createElement('div');\n",
+              "          docLink.innerHTML = docLinkHtml;\n",
+              "          element.appendChild(docLink);\n",
+              "        }\n",
+              "      </script>\n",
+              "    </div>\n",
+              "  </div>\n",
+              "  "
+            ]
+          },
+          "metadata": {},
+          "execution_count": 109
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Creates a choropleth using values in a given column in the shapefile"
+      ],
+      "metadata": {
+        "id": "mYznvq9RLKxF"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "def choropleth(column, label, title): \n",
+        "  fig, ax = plt.subplots(figsize=(25, 10))\n",
+        "  stateMap.plot(column=column, \n",
+        "              legend = True, ax = ax,\n",
+        "              edgecolor=\"white\",\n",
+        "              legend_kwds={'label': title,\n",
+        "                        'orientation': \"vertical\"})\n",
+        "  ax.set_xlim(-130, -63)\n",
+        "  ax.set_ylim(23, 50)\n",
+        "  ax.set_title(label)"
+      ],
+      "metadata": {
+        "id": "MojKLo_AfUeB"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "choropleth('total', 'Total Number of Complaints by State', 'Number of Complaints')"
+      ],
+      "metadata": {
+        "id": "ceMhg4pjzeWC",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 607
+        },
+        "outputId": "84195e3a-5590-4cea-e50f-3f6c78e08c80"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 1800x720 with 2 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {
+            "needs_background": "light"
+          }
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "choropleth('proportion', 'Percentage of Population that Submitted a Complaint', 'Percentage')"
+      ],
+      "metadata": {
+        "id": "1jDsD9wuMReM",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 607
+        },
+        "outputId": "5a8c7bec-eb29-44dd-9174-c05a717ec783"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 1800x720 with 2 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {
+            "needs_background": "light"
+          }
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Sums the total yes/no responses per state in the consumer_disputed? and timely_response columns"
+      ],
+      "metadata": {
+        "id": "D7G4rzy6D9Ad"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "def calculateYesNo(column, stateMap, name):\n",
+        "  yesVar = data.loc[(data[column]  == 'Yes')]\n",
+        "  yesVar = frequencyToDataframe(yesVar, 'state')\n",
+        "  noVar = data.loc[(data[column]  == 'No')]\n",
+        "  noVar = frequencyToDataframe(noVar, 'state')\n",
+        "  stateMap = frequencyByState(yesVar, name, stateMap)\n",
+        "  stateMap = frequencyByState(noVar, 'non' + name, stateMap)\n",
+        "  return stateMap"
+      ],
+      "metadata": {
+        "id": "ATl0qC9WLmMZ"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "stateMap = calculateYesNo('consumer_disputed?', stateMap, 'disputes')"
+      ],
+      "metadata": {
+        "id": "UAQ6piRiNTnX"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "stateMap[\"disputesPerCapita\"] = stateMap[\"disputes\"] / stateMap[\"Population\"] * 100\n",
+        "stateMap[\"percentDisputed\"] = stateMap[\"disputes\"] / (stateMap[\"nondisputes\"] + stateMap[\"disputes\"]) * 100\n",
+        "stateMap.head()"
+      ],
+      "metadata": {
+        "id": "Vq5nB9oWn_N2",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 337
+        },
+        "outputId": "b53d6271-8f55-41df-c3ba-cf1f1d2c85ae"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "  STUSPS           NAME     INTPTLAT      INTPTLON  \\\n",
+              "0     WV  West Virginia  +38.6472854  -080.6183274   \n",
+              "1     FL        Florida  +28.3989775  -082.5143005   \n",
+              "2     IL       Illinois  +40.1028754  -089.1526108   \n",
+              "3     MN      Minnesota  +46.3159573  -094.1996043   \n",
+              "4     MD       Maryland  +38.9466584  -076.6744939   \n",
+              "\n",
+              "                                            geometry  total  Population  \\\n",
+              "0  POLYGON ((-80.85847 37.42831, -80.85856 37.428...   1457   1782959.0   \n",
+              "1  MULTIPOLYGON (((-83.10874 24.62949, -83.10711 ...  53673  21781128.0   \n",
+              "2  POLYGON ((-89.17208 37.06831, -89.17296 37.067...  19624  12671469.0   \n",
+              "3  POLYGON ((-92.74568 45.29604, -92.74629 45.295...   6424   5707390.0   \n",
+              "4  POLYGON ((-75.76659 39.37756, -75.76630 39.373...  17703   6165129.0   \n",
+              "\n",
+              "   proportion  disputes  nondisputes  disputesPerCapita  percentDisputed  \n",
+              "0    0.081718       266         1191           0.014919        18.256692  \n",
+              "1    0.246420     10443        43230           0.047945        19.456710  \n",
+              "2    0.154868      4156        15468           0.032798        21.178149  \n",
+              "3    0.112556      1319         5105           0.023110        20.532379  \n",
+              "4    0.287147      3890        13813           0.063097        21.973677  "
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-2acdd695-24d3-43ef-a884-05be1cdaa952\">\n",
+              "    <div class=\"colab-df-container\">\n",
+              "      <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>STUSPS</th>\n",
+              "      <th>NAME</th>\n",
+              "      <th>INTPTLAT</th>\n",
+              "      <th>INTPTLON</th>\n",
+              "      <th>geometry</th>\n",
+              "      <th>total</th>\n",
+              "      <th>Population</th>\n",
+              "      <th>proportion</th>\n",
+              "      <th>disputes</th>\n",
+              "      <th>nondisputes</th>\n",
+              "      <th>disputesPerCapita</th>\n",
+              "      <th>percentDisputed</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>WV</td>\n",
+              "      <td>West Virginia</td>\n",
+              "      <td>+38.6472854</td>\n",
+              "      <td>-080.6183274</td>\n",
+              "      <td>POLYGON ((-80.85847 37.42831, -80.85856 37.428...</td>\n",
+              "      <td>1457</td>\n",
+              "      <td>1782959.0</td>\n",
+              "      <td>0.081718</td>\n",
+              "      <td>266</td>\n",
+              "      <td>1191</td>\n",
+              "      <td>0.014919</td>\n",
+              "      <td>18.256692</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>FL</td>\n",
+              "      <td>Florida</td>\n",
+              "      <td>+28.3989775</td>\n",
+              "      <td>-082.5143005</td>\n",
+              "      <td>MULTIPOLYGON (((-83.10874 24.62949, -83.10711 ...</td>\n",
+              "      <td>53673</td>\n",
+              "      <td>21781128.0</td>\n",
+              "      <td>0.246420</td>\n",
+              "      <td>10443</td>\n",
+              "      <td>43230</td>\n",
+              "      <td>0.047945</td>\n",
+              "      <td>19.456710</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>IL</td>\n",
+              "      <td>Illinois</td>\n",
+              "      <td>+40.1028754</td>\n",
+              "      <td>-089.1526108</td>\n",
+              "      <td>POLYGON ((-89.17208 37.06831, -89.17296 37.067...</td>\n",
+              "      <td>19624</td>\n",
+              "      <td>12671469.0</td>\n",
+              "      <td>0.154868</td>\n",
+              "      <td>4156</td>\n",
+              "      <td>15468</td>\n",
+              "      <td>0.032798</td>\n",
+              "      <td>21.178149</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>MN</td>\n",
+              "      <td>Minnesota</td>\n",
+              "      <td>+46.3159573</td>\n",
+              "      <td>-094.1996043</td>\n",
+              "      <td>POLYGON ((-92.74568 45.29604, -92.74629 45.295...</td>\n",
+              "      <td>6424</td>\n",
+              "      <td>5707390.0</td>\n",
+              "      <td>0.112556</td>\n",
+              "      <td>1319</td>\n",
+              "      <td>5105</td>\n",
+              "      <td>0.023110</td>\n",
+              "      <td>20.532379</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>MD</td>\n",
+              "      <td>Maryland</td>\n",
+              "      <td>+38.9466584</td>\n",
+              "      <td>-076.6744939</td>\n",
+              "      <td>POLYGON ((-75.76659 39.37756, -75.76630 39.373...</td>\n",
+              "      <td>17703</td>\n",
+              "      <td>6165129.0</td>\n",
+              "      <td>0.287147</td>\n",
+              "      <td>3890</td>\n",
+              "      <td>13813</td>\n",
+              "      <td>0.063097</td>\n",
+              "      <td>21.973677</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-2acdd695-24d3-43ef-a884-05be1cdaa952')\"\n",
+              "              title=\"Convert this dataframe to an interactive table.\"\n",
+              "              style=\"display:none;\">\n",
+              "        \n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "       width=\"24px\">\n",
+              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
+              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
+              "  </svg>\n",
+              "      </button>\n",
+              "      \n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      flex-wrap:wrap;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "      <script>\n",
+              "        const buttonEl =\n",
+              "          document.querySelector('#df-2acdd695-24d3-43ef-a884-05be1cdaa952 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-2acdd695-24d3-43ef-a884-05be1cdaa952');\n",
+              "          const dataTable =\n",
+              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                     [key], {});\n",
+              "          if (!dataTable) return;\n",
+              "\n",
+              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "            + ' to learn more about interactive tables.';\n",
+              "          element.innerHTML = '';\n",
+              "          dataTable['output_type'] = 'display_data';\n",
+              "          await google.colab.output.renderOutput(dataTable, element);\n",
+              "          const docLink = document.createElement('div');\n",
+              "          docLink.innerHTML = docLinkHtml;\n",
+              "          element.appendChild(docLink);\n",
+              "        }\n",
+              "      </script>\n",
+              "    </div>\n",
+              "  </div>\n",
+              "  "
+            ]
+          },
+          "metadata": {},
+          "execution_count": 115
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "choropleth('percentDisputed', 'Percent of Complaints Ended With a Dispute', 'Percent')"
+      ],
+      "metadata": {
+        "id": "nuBkiidmnPHV",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 607
+        },
+        "outputId": "cbd97bcf-0311-48f8-8db5-a47d2ebc273a"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 1800x720 with 2 Axes>"
+            ],
+            "image/png": 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+          },
+          "metadata": {
+            "needs_background": "light"
+          }
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "stateMap = calculateYesNo('timely_response', stateMap, 'timely')"
+      ],
+      "metadata": {
+        "id": "5-a0TwyJHxYy"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "stateMap[\"percentTimely\"] = (stateMap[\"timely\"] / (stateMap[\"timely\"] + stateMap[\"nontimely\"])) * 100\n",
+        "stateMap.head()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 600
+        },
+        "id": "nHEdeSqQHzhb",
+        "outputId": "7b9c4ad1-cfe4-490f-886b-d7f6d18f1b02"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "  STUSPS           NAME     INTPTLAT      INTPTLON  \\\n",
+              "0     WV  West Virginia  +38.6472854  -080.6183274   \n",
+              "1     FL        Florida  +28.3989775  -082.5143005   \n",
+              "2     IL       Illinois  +40.1028754  -089.1526108   \n",
+              "3     MN      Minnesota  +46.3159573  -094.1996043   \n",
+              "4     MD       Maryland  +38.9466584  -076.6744939   \n",
+              "\n",
+              "                                            geometry  total  Population  \\\n",
+              "0  POLYGON ((-80.85847 37.42831, -80.85856 37.428...   1457   1782959.0   \n",
+              "1  MULTIPOLYGON (((-83.10874 24.62949, -83.10711 ...  53673  21781128.0   \n",
+              "2  POLYGON ((-89.17208 37.06831, -89.17296 37.067...  19624  12671469.0   \n",
+              "3  POLYGON ((-92.74568 45.29604, -92.74629 45.295...   6424   5707390.0   \n",
+              "4  POLYGON ((-75.76659 39.37756, -75.76630 39.373...  17703   6165129.0   \n",
+              "\n",
+              "   proportion  disputes  nondisputes  disputesPerCapita  percentDisputed  \\\n",
+              "0    0.081718       266         1191           0.014919        18.256692   \n",
+              "1    0.246420     10443        43230           0.047945        19.456710   \n",
+              "2    0.154868      4156        15468           0.032798        21.178149   \n",
+              "3    0.112556      1319         5105           0.023110        20.532379   \n",
+              "4    0.287147      3890        13813           0.063097        21.973677   \n",
+              "\n",
+              "   timely  nontimely  percentTimely  \n",
+              "0    1412         45      96.911462  \n",
+              "1   52332       1341      97.501537  \n",
+              "2   19168        456      97.676315  \n",
+              "3    6266        158      97.540473  \n",
+              "4   17266        437      97.531492  "
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-e8363d3b-b175-4ab1-b0fd-5e0afa14db4f\">\n",
+              "    <div class=\"colab-df-container\">\n",
+              "      <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>STUSPS</th>\n",
+              "      <th>NAME</th>\n",
+              "      <th>INTPTLAT</th>\n",
+              "      <th>INTPTLON</th>\n",
+              "      <th>geometry</th>\n",
+              "      <th>total</th>\n",
+              "      <th>Population</th>\n",
+              "      <th>proportion</th>\n",
+              "      <th>disputes</th>\n",
+              "      <th>nondisputes</th>\n",
+              "      <th>disputesPerCapita</th>\n",
+              "      <th>percentDisputed</th>\n",
+              "      <th>timely</th>\n",
+              "      <th>nontimely</th>\n",
+              "      <th>percentTimely</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>WV</td>\n",
+              "      <td>West Virginia</td>\n",
+              "      <td>+38.6472854</td>\n",
+              "      <td>-080.6183274</td>\n",
+              "      <td>POLYGON ((-80.85847 37.42831, -80.85856 37.428...</td>\n",
+              "      <td>1457</td>\n",
+              "      <td>1782959.0</td>\n",
+              "      <td>0.081718</td>\n",
+              "      <td>266</td>\n",
+              "      <td>1191</td>\n",
+              "      <td>0.014919</td>\n",
+              "      <td>18.256692</td>\n",
+              "      <td>1412</td>\n",
+              "      <td>45</td>\n",
+              "      <td>96.911462</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>FL</td>\n",
+              "      <td>Florida</td>\n",
+              "      <td>+28.3989775</td>\n",
+              "      <td>-082.5143005</td>\n",
+              "      <td>MULTIPOLYGON (((-83.10874 24.62949, -83.10711 ...</td>\n",
+              "      <td>53673</td>\n",
+              "      <td>21781128.0</td>\n",
+              "      <td>0.246420</td>\n",
+              "      <td>10443</td>\n",
+              "      <td>43230</td>\n",
+              "      <td>0.047945</td>\n",
+              "      <td>19.456710</td>\n",
+              "      <td>52332</td>\n",
+              "      <td>1341</td>\n",
+              "      <td>97.501537</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>IL</td>\n",
+              "      <td>Illinois</td>\n",
+              "      <td>+40.1028754</td>\n",
+              "      <td>-089.1526108</td>\n",
+              "      <td>POLYGON ((-89.17208 37.06831, -89.17296 37.067...</td>\n",
+              "      <td>19624</td>\n",
+              "      <td>12671469.0</td>\n",
+              "      <td>0.154868</td>\n",
+              "      <td>4156</td>\n",
+              "      <td>15468</td>\n",
+              "      <td>0.032798</td>\n",
+              "      <td>21.178149</td>\n",
+              "      <td>19168</td>\n",
+              "      <td>456</td>\n",
+              "      <td>97.676315</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>MN</td>\n",
+              "      <td>Minnesota</td>\n",
+              "      <td>+46.3159573</td>\n",
+              "      <td>-094.1996043</td>\n",
+              "      <td>POLYGON ((-92.74568 45.29604, -92.74629 45.295...</td>\n",
+              "      <td>6424</td>\n",
+              "      <td>5707390.0</td>\n",
+              "      <td>0.112556</td>\n",
+              "      <td>1319</td>\n",
+              "      <td>5105</td>\n",
+              "      <td>0.023110</td>\n",
+              "      <td>20.532379</td>\n",
+              "      <td>6266</td>\n",
+              "      <td>158</td>\n",
+              "      <td>97.540473</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>MD</td>\n",
+              "      <td>Maryland</td>\n",
+              "      <td>+38.9466584</td>\n",
+              "      <td>-076.6744939</td>\n",
+              "      <td>POLYGON ((-75.76659 39.37756, -75.76630 39.373...</td>\n",
+              "      <td>17703</td>\n",
+              "      <td>6165129.0</td>\n",
+              "      <td>0.287147</td>\n",
+              "      <td>3890</td>\n",
+              "      <td>13813</td>\n",
+              "      <td>0.063097</td>\n",
+              "      <td>21.973677</td>\n",
+              "      <td>17266</td>\n",
+              "      <td>437</td>\n",
+              "      <td>97.531492</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-e8363d3b-b175-4ab1-b0fd-5e0afa14db4f')\"\n",
+              "              title=\"Convert this dataframe to an interactive table.\"\n",
+              "              style=\"display:none;\">\n",
+              "        \n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "       width=\"24px\">\n",
+              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
+              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
+              "  </svg>\n",
+              "      </button>\n",
+              "      \n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      flex-wrap:wrap;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "      <script>\n",
+              "        const buttonEl =\n",
+              "          document.querySelector('#df-e8363d3b-b175-4ab1-b0fd-5e0afa14db4f 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-e8363d3b-b175-4ab1-b0fd-5e0afa14db4f');\n",
+              "          const dataTable =\n",
+              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                     [key], {});\n",
+              "          if (!dataTable) return;\n",
+              "\n",
+              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "            + ' to learn more about interactive tables.';\n",
+              "          element.innerHTML = '';\n",
+              "          dataTable['output_type'] = 'display_data';\n",
+              "          await google.colab.output.renderOutput(dataTable, element);\n",
+              "          const docLink = document.createElement('div');\n",
+              "          docLink.innerHTML = docLinkHtml;\n",
+              "          element.appendChild(docLink);\n",
+              "        }\n",
+              "      </script>\n",
+              "    </div>\n",
+              "  </div>\n",
+              "  "
+            ]
+          },
+          "metadata": {},
+          "execution_count": 118
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "choropleth('percentTimely', 'Percent of Complaints That Received a Timely Response', 'Percent')"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 607
+        },
+        "id": "G0nuRJXydP1Z",
+        "outputId": "2dbb82aa-32c5-4a4c-99fd-76bc387c6028"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 1800x720 with 2 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {
+            "needs_background": "light"
+          }
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Creates a scatterplot showing the correlation between the percent of complaints that received a timely response and were disputed"
+      ],
+      "metadata": {
+        "id": "rsybWF_NEKyF"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "def plot(xAxis,yAxis):\n",
+        "  plot = stateMap.plot.scatter(x = xAxis, y = yAxis, c = 'DarkBlue')\n",
+        "  m, b = np.polyfit(stateMap[xAxis], stateMap[yAxis], 1)\n",
+        "  plt.plot(stateMap[xAxis], m*stateMap[xAxis]+b)"
+      ],
+      "metadata": {
+        "id": "-HcTmgoRJND2"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "plot('percentTimely','percentDisputed')"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 279
+        },
+        "id": "t9REN824JlLp",
+        "outputId": "8816428e-eefc-46ba-9055-f29746fb070b"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 432x288 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {
+            "needs_background": "light"
+          }
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Shows more detailed results for the OLS linear regression used to find the line of best fit"
+      ],
+      "metadata": {
+        "id": "d925CHJoEdcW"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "def regression(xAxis,yAxis):\n",
+        "  model = ols(xAxis + \" ~ \" + yAxis, data=stateMap).fit()\n",
+        "  return model.summary()"
+      ],
+      "metadata": {
+        "id": "LlUAVe_qJSUm"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "modelSummary = regression(\"percentDisputed\",\"percentTimely\")\n",
+        "modelSummary"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 486
+        },
+        "id": "izGmSK3bJ3PZ",
+        "outputId": "dfb4e2a0-c2a8-4b59-a682-b79eb46390b6"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "<class 'statsmodels.iolib.summary.Summary'>\n",
+              "\"\"\"\n",
+              "                            OLS Regression Results                            \n",
+              "==============================================================================\n",
+              "Dep. Variable:        percentDisputed   R-squared:                       0.034\n",
+              "Model:                            OLS   Adj. R-squared:                  0.014\n",
+              "Method:                 Least Squares   F-statistic:                     1.750\n",
+              "Date:                Fri, 30 Sep 2022   Prob (F-statistic):              0.192\n",
+              "Time:                        22:13:02   Log-Likelihood:                -94.686\n",
+              "No. Observations:                  52   AIC:                             193.4\n",
+              "Df Residuals:                      50   BIC:                             197.3\n",
+              "Df Model:                           1                                         \n",
+              "Covariance Type:            nonrobust                                         \n",
+              "=================================================================================\n",
+              "                    coef    std err          t      P>|t|      [0.025      0.975]\n",
+              "---------------------------------------------------------------------------------\n",
+              "Intercept       -35.8964     42.162     -0.851      0.399    -120.581      48.788\n",
+              "percentTimely     0.5732      0.433      1.323      0.192      -0.297       1.443\n",
+              "==============================================================================\n",
+              "Omnibus:                        0.145   Durbin-Watson:                   2.377\n",
+              "Prob(Omnibus):                  0.930   Jarque-Bera (JB):                0.351\n",
+              "Skew:                           0.002   Prob(JB):                        0.839\n",
+              "Kurtosis:                       2.597   Cond. No.                     1.94e+04\n",
+              "==============================================================================\n",
+              "\n",
+              "Notes:\n",
+              "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
+              "[2] The condition number is large, 1.94e+04. This might indicate that there are\n",
+              "strong multicollinearity or other numerical problems.\n",
+              "\"\"\""
+            ],
+            "text/html": [
+              "<table class=\"simpletable\">\n",
+              "<caption>OLS Regression Results</caption>\n",
+              "<tr>\n",
+              "  <th>Dep. Variable:</th>     <td>percentDisputed</td> <th>  R-squared:         </th> <td>   0.034</td>\n",
+              "</tr>\n",
+              "<tr>\n",
+              "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>   0.014</td>\n",
+              "</tr>\n",
+              "<tr>\n",
+              "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>   1.750</td>\n",
+              "</tr>\n",
+              "<tr>\n",
+              "  <th>Date:</th>             <td>Fri, 30 Sep 2022</td> <th>  Prob (F-statistic):</th>  <td> 0.192</td> \n",
+              "</tr>\n",
+              "<tr>\n",
+              "  <th>Time:</th>                 <td>22:13:02</td>     <th>  Log-Likelihood:    </th> <td> -94.686</td>\n",
+              "</tr>\n",
+              "<tr>\n",
+              "  <th>No. Observations:</th>      <td>    52</td>      <th>  AIC:               </th> <td>   193.4</td>\n",
+              "</tr>\n",
+              "<tr>\n",
+              "  <th>Df Residuals:</th>          <td>    50</td>      <th>  BIC:               </th> <td>   197.3</td>\n",
+              "</tr>\n",
+              "<tr>\n",
+              "  <th>Df Model:</th>              <td>     1</td>      <th>                     </th>     <td> </td>   \n",
+              "</tr>\n",
+              "<tr>\n",
+              "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>   \n",
+              "</tr>\n",
+              "</table>\n",
+              "<table class=\"simpletable\">\n",
+              "<tr>\n",
+              "        <td></td>           <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
+              "</tr>\n",
+              "<tr>\n",
+              "  <th>Intercept</th>     <td>  -35.8964</td> <td>   42.162</td> <td>   -0.851</td> <td> 0.399</td> <td> -120.581</td> <td>   48.788</td>\n",
+              "</tr>\n",
+              "<tr>\n",
+              "  <th>percentTimely</th> <td>    0.5732</td> <td>    0.433</td> <td>    1.323</td> <td> 0.192</td> <td>   -0.297</td> <td>    1.443</td>\n",
+              "</tr>\n",
+              "</table>\n",
+              "<table class=\"simpletable\">\n",
+              "<tr>\n",
+              "  <th>Omnibus:</th>       <td> 0.145</td> <th>  Durbin-Watson:     </th> <td>   2.377</td>\n",
+              "</tr>\n",
+              "<tr>\n",
+              "  <th>Prob(Omnibus):</th> <td> 0.930</td> <th>  Jarque-Bera (JB):  </th> <td>   0.351</td>\n",
+              "</tr>\n",
+              "<tr>\n",
+              "  <th>Skew:</th>          <td> 0.002</td> <th>  Prob(JB):          </th> <td>   0.839</td>\n",
+              "</tr>\n",
+              "<tr>\n",
+              "  <th>Kurtosis:</th>      <td> 2.597</td> <th>  Cond. No.          </th> <td>1.94e+04</td>\n",
+              "</tr>\n",
+              "</table><br/><br/>Notes:<br/>[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.<br/>[2] The condition number is large, 1.94e+04. This might indicate that there are<br/>strong multicollinearity or other numerical problems."
+            ]
+          },
+          "metadata": {},
+          "execution_count": 123
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "#Analyzes Different Categories for Complaints"
+      ],
+      "metadata": {
+        "id": "sN_riCffHiJ3"
+      }
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Finds the frequency of each product "
+      ],
+      "metadata": {
+        "id": "Ehq7AYsUcWGP"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "productFrequency = frequencyToDataframe(data, 'product')\n",
+        "productFrequency.head()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 206
+        },
+        "id": "xFo-n7C6FSYD",
+        "outputId": "c56f8d74-156e-4b58-89a8-e9c87630ad20"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "                         product\n",
+              "Mortgage                  186475\n",
+              "Debt collection           101052\n",
+              "Credit reporting           91854\n",
+              "Credit card                66468\n",
+              "Bank account or service    62563"
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-854c9e14-bb8d-41d9-9efc-eb50744ac6de\">\n",
+              "    <div class=\"colab-df-container\">\n",
+              "      <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>product</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>Mortgage</th>\n",
+              "      <td>186475</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>Debt collection</th>\n",
+              "      <td>101052</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>Credit reporting</th>\n",
+              "      <td>91854</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>Credit card</th>\n",
+              "      <td>66468</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>Bank account or service</th>\n",
+              "      <td>62563</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-854c9e14-bb8d-41d9-9efc-eb50744ac6de')\"\n",
+              "              title=\"Convert this dataframe to an interactive table.\"\n",
+              "              style=\"display:none;\">\n",
+              "        \n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "       width=\"24px\">\n",
+              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
+              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
+              "  </svg>\n",
+              "      </button>\n",
+              "      \n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      flex-wrap:wrap;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "      <script>\n",
+              "        const buttonEl =\n",
+              "          document.querySelector('#df-854c9e14-bb8d-41d9-9efc-eb50744ac6de 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-854c9e14-bb8d-41d9-9efc-eb50744ac6de');\n",
+              "          const dataTable =\n",
+              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                     [key], {});\n",
+              "          if (!dataTable) return;\n",
+              "\n",
+              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "            + ' to learn more about interactive tables.';\n",
+              "          element.innerHTML = '';\n",
+              "          dataTable['output_type'] = 'display_data';\n",
+              "          await google.colab.output.renderOutput(dataTable, element);\n",
+              "          const docLink = document.createElement('div');\n",
+              "          docLink.innerHTML = docLinkHtml;\n",
+              "          element.appendChild(docLink);\n",
+              "        }\n",
+              "      </script>\n",
+              "    </div>\n",
+              "  </div>\n",
+              "  "
+            ]
+          },
+          "metadata": {},
+          "execution_count": 124
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "productFrequency['product'].plot(kind=\"bar\", figsize=(15, 10), title='Number of Complaints by Product', ylabel = 'Number of Complaints')"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 736
+        },
+        "id": "awNox1QSGJU4",
+        "outputId": "a9c1082b-46c2-46e7-c4b9-bcbd1cb2c70c"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "<matplotlib.axes._subplots.AxesSubplot at 0x7f56fa3e63d0>"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 125
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 1080x720 with 1 Axes>"
+            ],
+            "image/png": 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AAACGBEcAAACGBEcAAACGBEcAAACGBEcAAACGBEcAAACGBEcAAACGBEcAAACGBEcAAACGBEcAAACGBEcAAACGBEcAAACGBEcAAACGBEcAAACGBEcAAACGBEcAAACGBEcAAACGBEcAAACGBEcAAACGBEcAAACGFhYcq+rkqvp0VX1orvYbVXV5VZ0/vR45t+6XqmprVX20qh4xVz9yqm2tqhPn6odU1Xun+huq6rZT/XbT+63T+i2L+owAAAB7gkWOOL46yZEr1F/a3YdPrzOSpKoOS3JskntN+/xxVe1VVXsl+aMkRyU5LMlx07ZJ8qLpWPdM8tkkT5nqT0ny2an+0mk7AAAAdtLCgmN3vyfJNWvc/Jgkp3b39d398SRbk9x/em3t7ou7+8tJTk1yTFVVkockedO0/ylJHj13rFOm5Tcleei0PQAAADthI+5xfGZVXTBNZd1nqh2Q5NK5bS6baqvV75Lkc919w3b1mxxrWv/5aXsAAAB2wq4Oji9Pco8khye5IsmLd/H5b6KqTqiqc6vq3KuuumojWwEAAFhauzQ4dveV3f3V7r4xyZ9mNhU1SS5PctDcpgdOtdXqVyfZu6o2bVe/ybGm9d84bb9SP6/o7iO6+4jNmzff3I8HAACwW9qlwbGq9p97+5gk2564elqSY6cnoh6S5NAk70tyTpJDpyeo3jazB+ic1t2d5F1JHjftf3ySt84d6/hp+XFJ/r9pewAAAHbCph1vsnOq6vVJHpxkv6q6LMnzkjy4qg5P0kkuSfLTSdLdF1bVG5N8OMkNSZ7R3V+djvPMJO9IsleSk7v7wukUz01yalW9IMkHkrxyqr8yyWuramtmD+c5dlGfEQAAYE+wsODY3cetUH7lCrVt278wyQtXqJ+R5IwV6hfnv6a6zte/lORH1tUsAAAAq9qIp6oCAABwKyI4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMCQ4AgAAMLSw4FhVJ1fVp6vqQ3O136uqj1TVBVX111W191TfUlX/UVXnT68/mdvnflX1waraWlUvq6qa6vtW1ZlVddH0c5+pXtN2W6fz3HdRnxEAAGBPsMgRx1cnOXK72plJ7t3d90nyb0l+aW7dx7r78On1tLn6y5M8Ncmh02vbMU9M8s7uPjTJO6f3SXLU3LYnTPsDAACwkxYWHLv7PUmu2a72d919w/T27CQHjo5RVfsnuXN3n93dneQ1SR49rT4mySnT8inb1V/TM2cn2Xs6DgAAADthI+9x/Mkkb597f0hVfaCqzqqq759qByS5bG6by6Zakty1u6+Ylj+V5K5z+1y6yj4AAACs06aNOGlV/UqSG5K8bipdkeTg7r66qu6X5C1Vda+1Hq+7u6p6J/o4IbPprDn44IPXuzsAAMAeYZePOFbVTyT5oSQ/Nk0/TXdf391XT8vnJflYkm9JcnluOp31wKmWJFdum4I6/fz0VL88yUGr7HMT3f2K7j6iu4/YvHnzLfDpAAAAdj+7NDhW1ZFJfjHJo7r7i3P1zVW117T8zZk92ObiaSrqtVX1wOlpqk9K8tZpt9OSHD8tH79d/UnT01UfmOTzc1NaAQAAWKeFTVWtqtcneXCS/arqsiTPy+wpqrdLcub0rRpnT09QfVCS36qqryS5McnTunvbg3WentkTWu+Q2T2R2+6LPCnJG6vqKUk+keTxU/2MJI9MsjXJF5M8eVGfEQAAYE+wsODY3cetUH7lKtu+OcmbV1l3bpJ7r1C/OslDV6h3kmesq1kAAABWtZFPVQUAAOBWQHAEAABgSHAEAABgSHAEAABgSHAEAABgSHAEAABgSHAEAABgSHAEAABgSHAEAABgSHAEAABgSHAEAABgSHAEAABgSHAEAABgSHAEAABgSHAEAABgaIfBsaruUVW3m5YfXFXPqqq9F98aAAAAy2AtI45vTvLVqrpnklckOSjJXyy0KwAAAJbGWoLjjd19Q5LHJPmD7v6FJPsvti0AAACWxVqC41eq6rgkxyd521S7zeJaAgAAYJmsJTg+Ocl3J3lhd3+8qg5J8trFtgUAAMCy2LSGbR7W3c/a9mYKj19aYE8AAAAskbWMOB6/Qu0nbuE+AAAAWFKrjjhO9zX+aJJDquq0uVV3SnLNohsDAABgOYymqv5TkiuS7JfkxXP165JcsMimAAAAWB6rBsfu/kSST2T2YBwAAAD2UDu8x7GqHltVF1XV56vq2qq6rqqu3RXNAQAAsPHW8lTV303yw939r4tuBgAAgOWzlqeqXik0AgAA7LnWMuJ4blW9Iclbkly/rdjdf7WwrgAAAFgaawmOd07yxSQPn6t1EsERAABgD7DD4NjdT94VjQAAALCcVg2OVfWL3f27VfUHmY0w3kR3P2uhnQEAALAURiOO2x6Ic+6uaAQAAIDltGpw7O6/mX6esuvaAQAAYNns8B7Hqtqc5LlJDkty+2317n7IAvsCAABgSazlexxfl9m01UOS/GaSS5Kcs8CeAAAAWCJrCY536e5XJvlKd5/V3T+ZxGgjAADAHmIt3+P4lennFVV1dJJPJtl3cS0BAACwTNYSHF9QVd+Y5DlJ/iDJnZP8vwvtCgAAgKWxw+DY3W+bFj+f5AcX2w4AAADLZtXgWFV/kKRXW9/dz1pIRwAAACyV0YjjubusCwAAAJbWqsGxu0+Zf19Vd56V+7qFdwUAAMDS2OHXcVTVEVX1wSQXJPlQVf1LVd1v8a0BAACwDNbyVNWTkzy9u/9PklTV9yV5VZL7LLIxAAAAlsMORxyTfHVbaEyS7v6HJDcsriUAAACWyVpGHM+qqv+d5PWZPWX1CUneXVX3TZLufv8C+wMAAGCDrSU4fsf083nb1b8zsyD5kFu0IwAAAJbKDoNjd//grmgEAACA5bTD4FhVeyd5UpIt89t397MW1xYAAADLYi1TVc9IcnaSDya5cbHtAAAAsGzWEhxv390/t/BOAAAAWEpr+TqO11bVU6tq/6rad9tr4Z0BAACwFNYy4vjlJL+X5Fcye4pqpp/fvKimAAAAWB5rCY7PSXLP7v7MopsBAABg+axlqurWJF9cdCMAAAAsp7WMOH4hyflV9a4k128r+joOAACAPcNaguNbphcAAAB7oB0Gx+4+papum+RbptJHu/sri20LAACAZbHD4FhVD05ySpJLklSSg6rq+O5+z2JbAwAAYBms5eE4L07y8O7+ge5+UJJHJHnpWg5eVSdX1aer6kNztX2r6syqumj6uc9Ur6p6WVVtraoLquq+c/scP21/UVUdP1e/X1V9cNrnZVVVo3MAAACwfmu5x/E23f3RbW+6+9+q6jZrPP6rk/xhktfM1U5M8s7uPqmqTpzePzfJUUkOnV4PSPLyJA+oqn2TPC/JEZl9f+R5VXVad3922uapSd6b5IwkRyZ5++AcLKEtJ56+0S2s6JKTjt7oFgAAYCmsZcTx3Kr6s6p68PT6syTnruXg03TWa7YrH5PZ1NdMPx89V39Nz5ydZO+q2j+zEc4zu/uaKSyemeTIad2du/vs7u7Mwumjd3AOAAAA1mktI44/k+QZSbZ9/cZ7Mhvp21l37e4rpuVPJbnrtHxAkkvntrtsqo3ql61QH50DAACAdVo1OFbV5iSbu/vDSV4yvVJV90py5yRX3dyTd3dXVd/c4+zsOarqhCQnJMnBBx+8yDYAAAButUZTVf8gyX4r1PdN8vs345xXTtNMM/389FS/PMlBc9sdONVG9QNXqI/OcRPd/YruPqK7j9i8efPN+EgAAAC7r1FwvOdKX7nR3f8nyX1uxjlPS7LtyajHJ3nrXP1J09NVH5jk89N003ckeXhV7TM9HfXhSd4xrbu2qh44PU31Sdsda6VzAAAAsE6jexzvNFi3pqeqVtXrkzw4yX5VdVlmT0c9Kckbq+opST6R5PHT5mckeWSSrUm+mOTJSdLd11TV85OcM233W9297YE7T8/sya13yOxpqm+f6qudAwAAgHUaBcetVfXI7j5jvlhVRyW5eC0H7+7jVln10BW27cwewrPScU5OcvIK9XOT3HuF+tUrnQMAAID1GwXHn01yelU9Psl5U+2IJN+d5IcW3RgAAADLYdV7HLv7oiTfnuSsJFum11lJ7tPd/7YrmgMAAGDjDb/HsbuvT/KqXdQLAAAAS2j0VFUAAAAQHAEAABhbNThW1Tunny/ade0AAACwbEb3OO5fVd+T5FFVdWqSml/Z3e9faGcAAAAshVFw/PUkv5bkwCQv2W5dJ3nIopoCAABgeawaHLv7TUneVFW/1t3P34U9AQAAsESGX8eRJN39/Kp6VJIHTaV3d/fbFtsWAAAAy2KHT1Wtqt9J8uwkH55ez66q3150YwAAACyHHY44Jjk6yeHdfWOSVNUpST6Q5JcX2RgAAADLYa3f47j33PI3LqIRAAAAltNaRhx/J8kHqupdmX0lx4OSnLjQrgAAAFgaa3k4zuur6t1JvmsqPbe7P7XQrgAAAFgaaxlxTHdfkeS0BfcCAADAElrrPY4AAADsoQRHAAAAhoZTVatqryQXdve37aJ+gB3YcuLpG93Cii456eiNbgEAgAUZjjh291eTfLSqDt5F/QAAALBk1vJwnH2SXFhV70vyhW3F7n7UwroCAABgaawlOP7awrsAAABgaa3lexzPqqq7Jzm0u/++qr4+yV6Lbw0AAIBlsMOnqlbVU5O8Kcn/nkoHJHnLIpsCAABgeazl6ziekeR7k1ybJN19UZJvWmRTAAAALI+1BMfru/vL295U1aYkvbiWAAAAWCZrCY5nVdUvJ7lDVT0syV8m+ZvFtgUAAMCyWEtwPDHJVUk+mOSnk5yR5FcX2RQAAADLYy1PVb2xqk5J8t7Mpqh+tLtNVQUAANhD7DA4VtXRSf4kyceSVJJDquqnu/vti24OAACAjbfD4JjkxUl+sLu3JklV3SPJ6UkERwAAgD3AWu5xvG5baJxcnOS6BfUDAADAkll1xLGqHjstnltVZyR5Y2b3OP5IknN2QW8AAAAsgdFU1R+eW74yyQ9My1clucPCOgIAAGCprBocu/vJu7IRAAAAltNanqp6SJL/mWTL/Pbd/ajFtQUAAMCyWMtTVd+S5JVJ/ibJjYttBwAAgGWzluD4pe5+2cI7AQAAYCmtJTj+flU9L8nfJbl+W7G737+wrgAAAFgaawmO357kiUkekv+aqtrTewAAAHZzawmOP5Lkm7v7y4tuBgAAgOXzdWvY5kNJ9l50IwAAACyntYw47p3kI1V1Tm56j6Ov4wAAANgDrCU4Pm/hXQAAALC0dhgcu/usXdEIAAAAy2mHwbGqrsvsKapJctskt0nyhe6+8yIbAwAAYDmsZcTxTtuWq6qSHJPkgYtsCgAAgOWxlqeq/qeeeUuSRyyoHwAAAJbMWqaqPnbu7dclOSLJlxbWEQAAAEtlLU9V/eG55RuSXJLZdFUAAAD2AGu5x/HJu6IRAAAAltOqwbGqfn2wX3f38xfQDwAAAEtmNOL4hRVq35DkKUnukkRwBAAA2AOsGhy7+8XblqvqTkmeneTJSU5N8uLV9gMAAGD3MrzHsar2TfJzSX4sySlJ7tvdn90VjQEAALAcRvc4/l6SxyZ5RZJv7+5/32VdAQAAsDS+brDuOUnuluRXk3yyqq6dXtdV1bW7pj0AAAA22ugex1GoBAAAYA8hHAIAADAkOAIAAF31UzMAACAASURBVDAkOAIAADC0y4NjVX1rVZ0/97q2qn62qn6jqi6fqz9ybp9fqqqtVfXRqnrEXP3Iqba1qk6cqx9SVe+d6m+oqtvu6s8JAACwu9jlwbG7P9rdh3f34Unul+SLSf56Wv3Sbeu6+4wkqarDkhyb5F5Jjkzyx1W1V1XtleSPkhyV5LAkx03bJsmLpmPdM8lnkzxlV30+AACA3c1GT1V9aJKPdfcnBtsck+TU7r6+uz+eZGuS+0+vrd19cXd/OcmpSY6pqkrykCRvmvY/JcmjF/YJAAAAdnMbHRyPTfL6uffPrKoLqurkqtpnqh2Q5NK5bS6baqvV75Lkc919w3b1r1FVJ1TVuVV17lVXXXXzPw0AAMBuaMOC43Tf4aOS/OVUenmSeyQ5PMkVSV686B66+xXdfUR3H7F58+ZFnw4AAOBWadMGnvuoJO/v7iuTZNvPJKmqP03ytunt5UkOmtvvwKmWVepXJ9m7qjZNo47z2wMAALBOGzlV9bjMTVOtqv3n1j0myYem5dOSHFtVt6uqQ5IcmuR9Sc5Jcuj0BNXbZjbt9bTu7iTvSvK4af/jk7x1oZ8EAABgN7YhI45V9Q1JHpbkp+fKv1tVhyfpJJdsW9fdF1bVG5N8OMkNSZ7R3V+djvPMJO9IsleSk7v7wulYz01yalW9IMkHkrxy4R8KAABgN7UhwbG7v5DZQ2zma08cbP/CJC9coX5GkjNWqF+c2VNXAQAAuJk2+qmqAAAALDnBEQAAgCHBEQAAgCHBEQAAgCHBEQAAgCHBEQAAgCHBEQAAgCHBEQAAgCHBEQAAgCHBEQAAgCHBEQAAgCHBEQAAgCHBEQAAgCHBEQAAgCHBEQAAgCHBEQAAgCHBEQAAgCHBEQAAgKFNG90AwCJtOfH0jW5hRZecdPRGtwAAsGZGHAEAABgSHAEAABgSHAEAABgSHAEAABgSHAEAABgSHAEAABgSHAEAABgSHAEAABgSHAEAABgSHAEAABjatNENALA8tpx4+ka3sKpLTjp6o1sAgD2WEUcAAACGBEcAAACGBEcAAACGBEcAAACGBEcAAACGBEcAAACGBEcAAACGBEcAAACGBEcAAACGBEcAAACGBEcAAACGBEcAAACGBEcAAACGBEcAAACGBEcAAACGBEcAAACGBEcAAACGBEcAAACGBEcAAACGBEcAAACGBEcAAACGBEcAAACGBEcAAACGBEcAAACGBEcAAACGBEcAAACGBEcAAACGBEcAAACGBEcAAACGBEcAAACGNiw4VtUlVfXBqjq/qs6davtW1ZlVddH0c5+pXlX1sqraWlUXVNV9545z/LT9RVV1/Fz9ftPxt0771q7/lAAAALd+Gz3i+IPdfXh3HzG9PzHJO7v70CTvnN4nyVFJDp1eJyR5eTILmkmel+QBSe6f5Hnbwua0zVPn9jty8R8HAABg97PRwXF7xyQ5ZVo+Jcmj5+qv6Zmzk+xdVfsneUSSM7v7mu7+bJIzkxw5rbtzd5/d3Z3kNXPHAgAAYB02Mjh2kr+rqvOq6oSpdtfuvmJa/lSSu07LByS5dG7fy6baqH7ZCnUAAADWadMGnvv7uvvyqvqmJGdW1UfmV3Z3V1UvsoEpsJ6QJAcffPAiTwUAAHCrtWEjjt19+fTz00n+OrN7FK+cpplm+vnpafPLkxw0t/uBU21UP3CF+vY9vKK7j+juIzZv3nxLfCwAAIDdzoYEx6r6hqq607blJA9P8qEkpyXZ9mTU45O8dVo+LcmTpqerPjDJ56cpre9I8vCq2md6KM7Dk7xjWndtVT1weprqk+aOBQAAwDps1FTVuyb56+kbMjYl+Yvu/tuqOifJG6vqKUk+keTx0/ZnJHlkkq1JvpjkyUnS3ddU1fOTnDNt91vdfc20/PQkr05yhyRvn14AAACs04YEx+6+OMl3rFC/OslDV6h3kmescqyTk5y8Qv3cJPe+2c0CAADs4Zbt6zgAAABYMoIjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ4IjAAAAQ7s8OFbVQVX1rqr6cFVdWFXPnuq/UVWXV9X50+uRc/v8UlVtraqPVtUj5upHTrWtVXXiXP2QqnrvVH9DVd12135KAACA3cdGjDjekOQ53X1YkgcmeUZVHTate2l3Hz69zkiSad2xSe6V5Mgkf1xVe1XVXkn+KMlRSQ5LctzccV40HeueST6b5Cm76sMBAADsbnZ5cOzuK7r7/dPydUn+NckBg12OSXJqd1/f3R9PsjXJ/afX1u6+uLu/nOTUJMdUVSV5SJI3TfufkuTRi/k0AAAAu78NvcexqrYk+c4k751Kz6yqC6rq5KraZ6odkOTSud0um2qr1e+S5HPdfcN2dQAAAHbChgXHqrpjkjcn+dnuvjbJy5PcI8nhSa5I8uJd0MMJVXVuVZ171VVXLfp0AAAAt0obEhyr6jaZhcbXdfdfJUl3X9ndX+3uG5P8aWZTUZPk8iQHze1+4FRbrX51kr2ratN29a/R3a/o7iO6+4jNmzffMh8OAABgN7MRT1WtJK9M8q/d/ZK5+v5zmz0myYem5dOSHFtVt6uqQ5IcmuR9Sc5Jcuj0BNXbZvYAndO6u5O8K8njpv2PT/LWRX4mAACA3dmmHW9yi/veJE9M8sGqOn+q/XJmT0U9PEknuSTJTydJd19YVW9M8uHMnsj6jO7+apJU1TOTvCPJXklO7u4Lp+M9N8mpVfWCJB/ILKgCAACwE3Z5cOzuf0hSK6w6Y7DPC5O8cIX6GSvt190X57+mugIAAHAzbOhTVQEAAFh+giMAAABDgiMAAABDgiMAAABDgiMAAABDgiMAAABDG/E9jgCw29hy4ukb3cKKLjnp6I1uAYDdiBFHAAAAhgRHAAAAhgRHAAAAhgRHAAAAhgRHAAAAhgRHAAAAhgRHAAAAhgRHAAAAhgRHAAAAhgRHAAAAhgRHAAAAhgRHAAAAhgRHAAAAhgRHAAAAhjZtdAMAwJ5jy4mnb3QLK7rkpKM3ugWApWbEEQAAgCHBEQAAgCHBEQAAgCHBEQAAgCHBEQAAgCHBEQAAgCHBEQAAgCHBEQAAgCHBEQAAgCHBEQAAgCHBEQAAgCHBEQAAgCHBEQAAgCHBEQAAgCHBEQAAgCHBEQAAgCHBEQAAgCHBEQAAgCHBEQAAgCHBEQAAgCHBEQAAgCHBEQAAgCHBEQAAgCHBEQAAgCHBEQAAgCHBEQAAgCHBEQAAgCHBEQAAgCHBEQAAgCHBEQAAgCHBEQAAgCHBEQAAgKFNG90AAAAr23Li6RvdwoouOenojW5hRa4XLI4RRwAAAIYERwAAAIYERwAAAIbc4wgAAHsg94SyHkYcAQAAGBIcAQAAGNptg2NVHVlVH62qrVV14kb3AwAAcGu1WwbHqtoryR8lOSrJYUmOq6rDNrYrAACAW6fd9eE490+ytbsvTpKqOjXJMUk+vKFdAQAAt0p7+sOEdssRxyQHJLl07v1lUw0AAIB1qu7e6B5ucVX1uCRHdvdPTe+fmOQB3f3M7bY7IckJ09tvTfLRXdro2uyX5DMb3cStiOu1Pq7X+rhe6+N6rZ9rtj6u1/q4Xuvjeq2P67U+y3q97t7dm1dasbtOVb08yUFz7w+cajfR3a9I8opd1dTOqKpzu/uIje7j1sL1Wh/Xa31cr/VxvdbPNVsf12t9XK/1cb3Wx/Van1vj9dpdp6qek+TQqjqkqm6b5Ngkp21wTwAAALdKu+WIY3ffUFXPTPKOJHslObm7L9zgtgAAAG6VdsvgmCTdfUaSMza6j1vAUk+lXUKu1/q4Xuvjeq2P67V+rtn6uF7r43qtj+u1Pq7X+tzqrtdu+XAcAAAAbjm76z2OAAAA3EIERwAAAIZ223scdwdV9fXd/cWN7mPZVdUBSe6eub/n7n7PxnW0vKpq3xXK13X3V3Z5M0usqu47Wt/d799VvdyaVNXXJ3lOkoO7+6lVdWiSb+3ut21wa7BHqqrbJfl/kmzJ/9/efUdZWtd3HH9/liJ1KQoIShFEadKkCVhAUdGIIhgCKEIiohBFTBSxhGJLxAoaUFECSNCgoFjo0pHelhqVmoQiSBOQsnzyx++57N3ZO7M7u8P8nmfm8zpnzuzzXDjnc+6Zmfv82vc782fkIbUytZmk1YD/sf2kpDcA6wLH2n6obrJ2kfRLYNizbra3G8c4nSFJwK7AqrYPkbQS8GLbl1WONsdyxrGFJG0OHAUsZnslSesBe9neu3K01pH0b8BOwI3A9Oa280drMEm3U3qcPggIWBK4B7gX2NP2lfXStYekc5p/LgRsBFxLeb/WBa6w/Zpa2dpM0k+AK4HdbK/TDCQvtr1+5WitJWkL4CBmTH6J8jds1Zq52irv1+hIOg14mPJ72fuMxPbXqoVqMUnXUP7mr0IpsPgLYG3bb6uZq20kvb7557uBFwM/aq53Bu61vV+VYC0n6QjgWWBr22tKWgo4w/bGlaPNsaw4ttM3gLfQ9J60fa2k19WN1FrvoqxoPFk7SEecCfzU9ukAkt5MmY0+Gvh3YNOK2VrD9lYAkk4CNrQ9rbleh/LQGoOtZnsnSTsD2H68mWGN4f0A2I8hD/YxrLxfo/NS22+tHaJDnm1aum0PHG77cElX1w7VNrbPA5D0tSEN7H8p6YpKsbpgU9sb9n6mbD/Y9JvvjJxxbCnbdw25lQ/IwW4FFqgdokM26w0aAWyfAbzG9iXAC+rFaq1X9gaNALavB9asmKftnpK0MM0WpmbbVyZ1Rvaw7VNt32f7gd5X7VAtlvdrdC6W9KraITrk6Wbi6/1Ab4t9njGGt6ik51b7Jb0MWLRinrZ7WtJ8zPiMXIayAtkZWXFsp7ua7aqWtACwL3BT5Uxt9ThwjaSz6XtAtf3RepFa7W5J+wM/bq53Au5t/pB16o/XOJkm6ShmbMPZFbiuYp62OxA4DVhR0vHAFsDuVRO13zmSDgVOYua/YTlHO1jer9HZEthd0m2U96u3tXfdurFaaw/gQ8AXbd/WDISOq5ypzT4GnCvpVsrP1srAB+tGarXDgJOBZSV9EdgR+GzdSKOTM44tJOlFwLeAN1F+Ec8A9s2s6qwkvX/QfdvHjHeWLmh+tg6kPEwAXAQcTDkDs5LtP9TK1kaSFgI+DPS2ip8PHGH7r/VStZukFwKbUf52XWL7/sqRWq3vPG0/29563MN0QN6v0ZG08qD7tu8Y7yxt10ygHmt719pZukDSFMrA5xfAGs3tm3N0aGSS1gDeSPmMPNt2pxaGMnCMzmv2h7+iubwlFUJjLDQPEWf1zjvG7DXngn5r++HmekngDbZ/XjdZxOQmaVlKsS8AbN9ZMU5rSbqQUrjkqdpZukDSFUPOOMYIJG0G3GD70eZ6KrCm7UvrJptzGTi2kKTDBtx+mFLN8RfjnafNmnLZxwC3U2ZvVgTen3Ycg0l6BfDPzFqaPbP1AzRboN/dGwjFyCRdM7SCqqSrbW9QK1MXSHo7sDYzP9inXcIw8n7NOUnbAV8DVgDuo2wlvMn22lWDtZSkYynn2E8BHuvdt/31aqFaTNK/AvcDP2Hm9+vP1UK1WFMUZ0M3g69m1fYK2yO2AGuTnHFsp4Uoy/4nNtc7ALcB60nayvbHqiVrn68Bb7Z9Czw3MDoBeHXVVO11InAkpd1LCi7N3l8o5xzPZOYPxZyhHWxQwbV8zoxA0pHAIsBWlN/LHYHO9PQab3m/Ru3zlK3jZ9neQNJWwHsrZ2qzPzZfU4DFK2fpgp2a7/v03TOQ9jiDyX0rdrafldSpz8isOLaQpEuALWxPb67nBy6gnEubZnutmvnaRNJ1Qw/5D7oXhaQrbWdQPYdyhnZ0JP0QeAj4TnNrH2Bp27tXC9Vyvb9Xfd8XA061/dra2doo79fo9LYSSroW2KB5UL3W9nq1s7WZpEVsP147R0wsTYuvc4Ejmlt7A1vZfle1UKPUqVHuJLIUsBhleyqU0sZL254uKYeOZ3bFgKqX6SE0vF9K2ptS1au/ImG2lQyQAeKofQT4HGXbEpS+ofsM/58H8ETz/XFJKwAPAMtXzNN2eb9G56FmcH0BcLyk++jbPREzk/QaSq/QxYCVJK0H7GV777rJ2qvpb7wWM28dP7Zeolb7EKWy6mcpK7Nn07EqtBk4ttNXKC0mzqWc23sd8CVJiwJn1QzWQh+mPJj2tg5eQGlkH4P1VtA+0Xcv20qGIWl14MvM+qGY92sA248Bn6qdo2N+1RQROhS4ivL7+P26kVot79fovBP4K6Vtwq7AEkDOgw7vm8BbKGccsX2tpNeN/L9MXpIOBN5A+Yz8DbAtcCGQgeMAtu8D/q52jnmRraotJWl5YJPm8nLb/1czT8Rk1FTYOxD4BvAOSo+vKbb/pWqwlpH0Tdsfk/RLmsbG/WxvVyFW50h6AbBQijHNmbxfc0bScsDGzeVlzcNrDCDpUtub9hf1ytbe4UmaBqwHXG17veZn7Ue2t6kcrVUkfdL2VyQdzuDPyM7UTciKY3v9FbibssrxckkvT6XQGST9l+2/bf5oDfolzBnHPpK2tv1bSe8e9Lrtk8Y7U0csbPtsSWr6nh0k6UogA8eZ9Rpkf7Vqig6StAAz9wo9V9J301ZosLxfoyPpbymrs+dSdjAdLukTtn9aNVh73SVpc8DNz9q+QKf67I2zJ5pzs880rSXuo1S3j5n1foY6f5QqA8cWkvQByh+rlwLXUCqi/Q5Iy4QZ9m2+/03VFN3xeuC3lFWzoQxk4DjYk0257N9L+kfgfylnX6KP7Subf74Q+HUaQI/KEcACzNhi/77m3geqJWq3vF+j8xlg494qo6RlKEdeMnAc7EPAt4CXUP7en0HOaY/kimbr+PeBKymVyH9XN1L72P5l889ptq+qGmYeZatqCzWraBsDl9heX9IawJdsD1wtmswk/Zvt/Wd3LwpJL7N92+zuRSFpY8pM4ZKUsvZTgUNtX1I1WEtJOpoywXU+pUDOabafqZuq3QZtg8vWuOHl/RodSdNsv6rvegpwbf+9mPHcIOk9tk+c/f8RQ0laBZhq+7rKUVpL0jnAiykTNz+xfX3lSKM2qOdW1PdX23+FcobD9s3AKytnaqtB++i3HfcU3fGzAfcy8zwM25fb/ovt/7G9h+0dMmgcnu09gJdT+oXuDPyxqXocw5suabXehaRVSY/VkeT9Gp3TJJ0uaXdJuwO/phQxiZm9TZKAA2oH6RJJ20taAsD27cCdkjrTWmK82d6K0oP2T8B3JU2T9NnKsUYlW1Xb6X+apf+fA2dKehC4o3KmVpH0YUr/m9Uk9c9uLQ5cXCdVezWr1msDSww55ziVvmqhMTNJZwLvsf1Qc70U8GPbb6mbrL1sPy3pVMoW6IWBd5FthCP5BHCOpFspZ9BWphRhisHyfo2C7U9I2gHYorn1Pdsn18zUUqcBDwKLSXqE8rPl3nfbU2uGa7ED+3+ebD/UVFr9ecVMrWb7HuCwZvXxk5SaCV+om2rOZatqy0l6PaV89mm2n6qdpy2aGa6lKK0S+sv/P5qehLOS9E7KA/x2NGXGG49SBkIZbA/QX1lvpHtRSNoW2IlSnv1c4L+AM7JddWRNddDerpJbgL+xPWh3QDDr+5UztTFWJP3C9jtr5+gKSdcNLUY4dHt0zCBpTcpn5A6UHrQ/AX7WpUrHGTi2kKSlB9x+NFXjZiVpM+AG248211OBNW1fWjdZ+0iaD9jf9pdqZ+mKpoLq9rbvbK5XBk62vWHdZO0k6T8pg8VT8zA/9yTdaXul2jnaZLiK0D2pDD0zSY8yoOI4WUEbUdMvu1cp9BXAGpS/Z3n+GkDSD4GHgO80t/YBlra9e7VQLSbpd8CPgRO72mYvA8cWknQ7pZzxg5Q/8ksC9wD3Anv2VTCc9CRdDWzo5ge5Ofh/RR7sB5N0me1NZv9fBoCktwLfA86j/C6+Fvig7dOrBmuhZmLirOYMR8wDSXfZTkn7Pk3hpeHY9t+PW5iYsJrJwtdSdjRdBFwOPGV716rBWqoZaH8OeBNlouJM4Iu2H6sarIWaz8jjbO9SO8u8yBnHdjoT+Gnv4VTSmynL2kdTSpBvWjFb28h9sx/NLGF+rod3kaRvU7ZHPPeHvevloZ8vtk+TtCGlJQ7Ax2zfXzNTW9meLulZSUukIfs8y4zuEE3hpYjnm2w/LukfgH9vmrZfUztUWzUDxE/N9j+M3mfkipIW7PLRszxgt9NmtvfsXdg+Q9JXbe/VnO2IGW6V9FFKHy8oBXNurZin7dZvvh/Sd8+kR+iwmoHir2rn6Ii/ANOaokL9ExMfrRepnZq2S8NtJVxunONERCFJrwF2Bf6huTdfxTwxsdxGmcA/hZk/I79eL9LoZODYTndL2p+yDxrKQdr7mmXuZ+vFaqUPAYcBn6U8hJ0NfLBqohbLNsJ4np3UfMXs/U3tABExi30pLTlOtn1D0+7lnMqZYuL4Y/M1hdIFoHNyxrGFJL0IOBDYkjIYugg4GHgEWMn2HyrGiw5rqtEeCLyuuXUecEi2FsZYkbQw5e/ULbWzxMTT9DZ+cnb3opD0EeBHth+snSUiCkmL2H68do65kRXHdtrK9kf6b0h6j+0TgQwa+zRVz44AlrO9jqR1ge1sd6Ynzjj7IXA98LfN9fsoZ2dHrFg4WUk6zvb7ZncvCknvAL4KLAi8TNL6lImJ7eomiwnkd8DQ4meD7kWxHHC5pKsof/9Pd1YMhtU8U/wzsAp9z8i2c5yjj6TDGeEsdo4nDNZsg/4BsBiwkqT1gL1s71032ZzLimMLSbpqaFXQQfcCJJ1HaQj93V5vPUnX216nbrJ2knSN7fVndy+Kob93zXbxabbXqhirtZqKhFsD5+b3McaSpBcDLwF+BOxCOQsKMBU40vYatbK1nSQBbwb2ADaitMz5ge0/Vg3WQpKuBY4ErgSm9+6nmv3MJL2/+ecWwFqUgnsA7wFutP2hKsFaTtKlwI7AKV39jMyKY4s0zbPfBrxE0mF9L00F0kB7sEVsX1Y+F5+T92p4T0ja0vaFAJK2AJ6onKl1JB0AfBpYWNIjvdvAU5T2HDHY07YfHvL7mHPZw2gmIo5Nqf858hZgd+ClQH8hiUcpv6sxDNuWdA+lrdczlFYTP5V0pu1P1k3XOs/YPmL2/9nkZvsYAEkfBra0/UxzfSRwQc1sbWf7riGfkdOH+2/bKAPHdvk/4ApgO8psV8+jwH5VErXf/ZJWo9kyIWlH4O66kVrtw8AxzVlHAX8G3j/y/zL52P4y8GVJX7Z9QO08HXKDpF2A+SStDnwUuLhyptZqyrOv3PXy7OOheVA9RtIOtn9WO09XSNoX2A24HzgK+ITtp5uex78HMnCc2S8l7Q2cDDx3btb2n+tFarWlKIsbvfdnseZeDHaXpM0BS1qAUozppsqZRiVbVVtmojQIHS9NxbPvAZsDD1JKHb/X9u01c7WdpKkAth+Z3X87GUlaw/bNTQ/HWaTv5WCSFgE+Q9kWJ+B04PO2/1o1WItJOhZYE+hsefbx1LSk2oFZz6AdMtz/M5lJOhj4oe07Bry2pu1OPbQ+3yTdNuC2ba867mE6QNIewEGUyrOiFN47qLciGTNril9+C3gT5f06A9jX9gNVg41CBo4tJOkC4I2ZgZ5zkhYFpth+tHaWNpP0Qmau2HshpXhJZ/5ojQdJ37e9p6RBZdidQgmz10yCLZrJiZFJOnDQfdsHj3eWLpB0GvAws55B+1q1UB0gaVlgod617TsrxokJpDl/vGlzeante2rmiedXBo4tlBno2ZP08ZFez3s1WNOY/XxKgQkoTY7fYPtN9VLFRCHpPym9VacDl1O2MH3L9qFVg3VAl8uzj6euFZKoral0/HVgBeA+YGXgJttrVw3WYpLWoRR86R9oH1svUftkV87ckfQV4AuU2hKnAesC+9n+0Yj/Y4vkjGM7db5B6DjI+zJ3lrf9+b7rL0jaqVqalpI0YnsS22lyP9hath+RtCtwKvApyspQBo7DmAjl2cfZxZJeZXta7SAd8QVgM+As2xtI2gp4b+VMrdXsAHgDZeD4G2Bbys6cDBxn9nHgg8CglX5TqmvHrN5s+5OStgdup7RC65/Mb70MHFuot0VJ0mLN9V/qJmqfbOOaa2dI+jtKOXYoZaFPr5inrd7RfF+Wcn72t831VpRiLxk4DrZAc+D/XcC3myIc2dYysm9SKoaeAmD7Wkmvqxup1bYEdm/Ooj1JOSdk2+vWjdVaT9t+QNIUSVNsnyPpm7VDtdiOwHrA1bb3kLQcHXqoHy+2P9h836p2lo7pjbveDpw4oAp562Xg2ELNNonjgKWb6/uB3WzfUDVYiwxpVzKLNJ8d1p7AxygfhAbmAx6TtBfl4WtqzXBtYXsPAElnUFbR7m6ulwf+o2K0tvsuZRb1WuB8SSsDOeM4G10vzz7Otq0doGMeaiahzweOl3QffUdgYhZP2H5W0jNNEbn7gBVrh2qzbO0dlV9JupmyVfXDkpYBOlU8LgPHdvoe8HHb5wBIegPwfcrKRxRpxjsXbGeL7+is2Bs0I0EMOAAAF3xJREFUNu4FVqoVpu1sHwY8N6kj6U7KKm0Mr/Pl2ceT7TskbQmsbvvo5sFrsdq5WuydlAfT/Shn2pcAUoF2eFdIWpLyzHUl8Bfgd3UjtVe29o6O7U815xwfbtoxPU75He2MFMdpIUnX2l5vdvdihmzrnTMqyxq7Ai+z/XlJK1LOPV5WOVorSfo2sDpwQnNrJ+APtj9SL1VMJBOhPPt4ah5UNwJeafsVklagbPnaonK06Ljm8/Gltu9qrlcBptq+rmauNpM0jRlbe9frbe21vU3laPE8ycCxhSSdDFxF2a4K5SD7q21vXy9VOw3Z1ivgT2Rb77AkHQE8C2xte01JSwFn2N64crTWag6x986cnW/75Jp5IiYzSdcAGwBX2d6guXddzjjOTNKjlOMIA+VYwmCSptl+Ve0cXSHpMtubSLqSsrvkUUrV3jUqR4vnSbaqttPfAwczowDHBc29mFW29Y7OprY3lHQ1gO0HJS1YO1TLXQU8avssSYtIWjz9QmclaQqwme2La2fpEkkvAz7CrA3tt6uVqeWesu1e0aWmh28M0TuWIOnzwN2UCdbejpPlK0Zru6skbWz78tpBOiJbeyeZrDhGp2Vb7+hIupQyqL68GUAuQ1lx3KBytFaStCel5PjStleTtDpwpO03Vo7WSpKuzs/S6Ei6ltKOYxplNwAAts+rFqrFJP0zZfv4NsCXKZOq/2n78KrBWiqfkaPTFC55OXAHpYhQqvbOoWztHd5w/S57utT3MiuOLSLplJFezwz0QLdK+hwzb+u9tWKetjsMOBlYVtIXKaXHP1s3UqvtA2wCXApg+/eSlq0bqdXOlrQDcJIzKzmn/toUFYo5YPurkrahVOt9JfAvts+sHKvNHmv6qv6YsnV1Z1JVdSRvqR2ga5q+x1tSfr4uBDJwnNWgfpc9nep7mRXHFpH0J+AuSiGOSykzXc/JDPSsmjN6BzPjj9YFwMG2H6warIV6WwmBPwNvpPx8nW07FRyHIelS25v2VtIkzU85W5XZ5wGac1WLUtpJPMGM2fqcpxqGpF0oK2hnUPoSAt2agY72alaBvgVsQfmMvAj4mO3b66VqL0nH2X7f7O5FIenfKSu0/QXk/mh7n3qp4vmUgWOLSJqPsv1mZ2Bd4NfACSn0EmMlWwlHpymb/RCwG+Uc2t7AjbY/UzVYTBiSvgy8D/gjM7aq2nZnZqDHQ4q9zB1JL0yF3jkn6SrbG/ZdzwdMs71WxVit1WztXbO3w6SZoL7B9pp1k7VX1/teZqtqi9ieDpwGnCbpBZQB5LmSDrb97brp2knSmcB7bD/UXC8F/Nh2tpsMlq2Eo7M/8AHK+bO9KH2qjqqaqOUkbceMKrTn2v5VzTwd8B5gVdtP1Q7SZin2MtcuaSrR/hA4LX/3B5N0APBpYGFJj/RuA09RivDFYH+g9Da+o7lesbkXA0yEvpdZcWyZZsD4dsqgcRXgFOCHtv+3Zq62GrSCllW14fVtJXyG0hQ6WwmH0cw035Cy4nNO0r8CGwPHN7d2Bq6wfUC9VO0m6efAB23fVztLF6TYy+g0vQnfRCkitDHwX8B/2P7vqsFaStKX8/dqzkk6j/JzdRllR8AmwBXAw5DaHENNhL6XWXFsEUnHAutQZiEOtn195Uhd8KyklWzfCSBpZUbYzjTZ9WbtY/ZsT5d0S//PV8zW24D1bT8LIOkY4GogD2LDWxK4WdLlzHzGMQ9cg6XYyyg0K4xnAmdK2gr4EbB3U833U7bTOqFPBo2j9i+1A3TME7aflfSMpKnAfZRV2s7IwLFd3kv5ANwX+GiZKASyKjSSzwAXNrNeAl5LaZ8QMRaWAm6QdBl9D6d5qB/RkpQCTABL1AzSEQfWDtAxu1CKvXyLGcVedqmaqMUkvZDybPE+4F7KWe1TgPWBE4GX1UsXXWf7vGbCfvWm1/HCwPzpdTyszve9zFbV6DxJL6JUCwW4xPb9NfPExCHp9YPup8LxYJJ2Bv4VOIcykfM6yqrGT6oGi5ikJP035Tzo0bb/Z8hr+9v+tzrJYiJIr+O519W+lxk4RkQMIenlwHK2Lxpyf0vgbtt/rJOs/SQtTznzAnCZ7Xtq5mm7IdVCFwQWAB7LDpPBJB3NgOMItv++QpzWk6QUxJlzkr5GqSuRavZzoCm8tAlwaa+2hKRptl9VN1m7SFrD9s2SNhz0epfaL2WrasQkkh5Vc+ybDD6X93Dz2jvGN0532L6bshUu5kD/ueOmkMk7mbGDImbVX6V3IWB74P8qZemCF0n6JLA2M5f/T7uXwW4Cvtf07D2a0hLt4cqZ2uxJ20/1jlY171smKmb1ccrK7NcGvGagM7+PWXGMmETSo2rOSLrc9sbDvJbZ1HhepTL0nGv6xl1oe/PaWdpI0hnAT4B/Bj4EvB/4k+39qwZrOUmvBPagFF+6CPi+7XPqpmqf9DqefKbUDhAxLyQdNyf3JjtJBzRb4taV9Ejz9SilotcvKsdroyVHeG3hcUsRE56kd/d97di0NPlr7VwdsjqwbO0QLfZC2z8AnrZ9XrOltzOrGzU0E6prNF/3A9cCH5f046rB2ml/4E/M3Ov4s1UTtZikfZriOL3rpSTtXTPTaGXFMTotK2ijkx5Vc0bSCcBvbX9/yP0PANvY3qlOsnbLVujRa87s9TwD3E5Z3UhfxwGGnAkFuAc4wPbPKkVqNUmX2N5M0unAYZRtvT+1vVrlaK0k6RuUowhnAz+wfVnfa7fYfmW1cC2TXsejJ+ka2+sPudepHSY54xidJOkA4NPAwpIeoVRwBHgK+F61YC3VO5gNnDjocHaXDmaPk48BJzf94q5s7m1EKV6yfbVU7bd2/0XzYPHqSlk6wfYetTN0SXrRjtoXJC0B/BNwODAV2K9upFa7Dvis7UG9QTcZ7zBtll7Hc2W+/oJVzWfkgpUzjUpWHKPTsoI2ZyR93/aekgad0XAKJQzWNMxep7m8wfZva+Zpq/6JHODx3m2aiZz8jg6vOSP0BeAJ4DRgXWA/2z+qGqylJJ09tNT/oHuTnaSFKGcaX07ZRvgD28/UTdV+zZnZXYBVbR8iaSXgxf0rjzGDpPOBDYD0Op4Dkg4FVga+29zaC7jL9j/VSzU6GThGpzVVCLcHtqRsX7rA9s/rpoqYnDKRM3q9rUuStgf+hlJ973zb61WO1irNQGgRSo/QNzBjl8lU4LRsl5uZpJ8ATwMXANsCd9jet26q9pN0BPAssLXtNSUtBZwxXLG0yS69jkenmZjYC+hNdJ0JHGV7er1Uo5OtqtF136HMqJ7QXH9I0ja296mYqXUkvXuk122fNF5ZYuKyfYCkl1BmVOfvu39+vVSt13uf3g6caPvhXmn7mMlelC3kK1C2j/fepEeAb9cK1WJr9ao/S/oBZUUoZm9T2xtKuhrA9oOSOrWVcDxkRXvu2H4WOKL56qQMHKPrtgbW7NsvfgyQxr2z6vUdXBbYHOhtudwKuBjIwDHmWVMR9O+AG4HeDKqBDByH9ytJN1O2qn5Y0jKkquosbH8L+Jakj9g+vHaeDni69w/bz2QyYo493Zw76z1TLENZgYyZHcPMK9prAVnRng1JWwAHMWNyVZTjQqvWzDUa2aoanSbpV8A+tu9orlcGvm07DdoHaHp6vb9p0o6k5YH/sP2WusliIpB0C7Cu7SdrZ+kSSUsDDzfFJhYBptq+p3auNpG0MeUs0D3N9W7ADsAdwEG2/1wzX9tIms6MM2dixvnj3oPq1FrZ2qwpiLYTsCFlcLQjpVjOiVWDtUx/P2NJ8wOX9Ve4j8GaScL9KLsmntueavuBaqFGKSuO0UmSfkmZEVwcuEnSZc31pmRLzkhW7A0aG/cCK9UKExPOrcACQAaOo7MGsErzANZzbK0wLfVd4E0Akl4H/Cul4fj6lEraO9aL1j6256udoYtsHy/pSsoZNAHvsn1T5VhtlBXtufOw7VNrh5gXGThGV321doCOOrvp59U7E7oTcFbFPDGxPA5cI+ls+gaPtj9aL1K7SToOWA24hpm392bgOLP5+lYVd6JU6/0Z8DNJ11TMFRPP7ylnZ+cHSLuJgdZrWqFBs6Ld1xotK9rDO6eprHoSM39GdqYlWgaO0Un9Fbua7amr2z5L0sLk53pYtv+xqd74uubW92yfXDNTTCinNF8x5zaiFDLJuZGRzSdp/qYAxxuBD/a9lr/5MSYkfQQ4kLIbZzrNQIjSJicaWdGea5s23zfqu2dKvY5OyB/b6DRJe1IeIJamzNq/FDiSGaWOY1ZXAY82A+1FJC1u+9HaoaL7bB9TO0MHXQ+8GLh7dv/hJHcCcJ6k+ymFhC4AkPRy4OGawWJC2Rd4ZZfOnEV32N6qdoZ5lYFjdN0+wCbApQC2fy9p2bqR2mvAQPslZKAdY0TSbTTVCPt1qWJcBS8CbmzOafdvXUoD7T62v9hsgV6e0lev93M2hXLWMWIs3EUmIuJ5JOntwNrAQr17tg+pl2h0MnCMrnvS9lO9g9lNcYls+RpeBtrxfOrffrMQ8B7KJEUM76DaAbrC9iUD7v13jSwxYd0KnCvp18w8kfP1epFiopB0JLAIpRXaUZSiXp0q6DildoCIeXSepE9TDmZvA5wI/LJypjZ70vZTvYsMtGMs2X6g7+t/bX+T0tg+htGc176ZUiF6ceCm/jPcETGu7gTOBBZkxu/k4lUTxUSyue3dgAdtHwy8BnhF5UyjkhXH6LpPAf8ATAP2An5DmcWJwYYOtPcmA+0YI5L6+3hNoaxA5nNmBJL+FjgUOJdSiONwSZ+w/dOqwSImoeZhHkmLNdd/qZsoJpgnmu+PS1oBeICy/b4zlEJu0XWSlgGw/afaWdpOZU/vB4A3Ux5STweOSkXHGAuSzum7fAa4Hfiq7VvqJGo/SdcC29i+r7leBjjL9np1k0VMPpLWAY5jxhb7+4HdbN9QL1VMFJI+BxxOqSvxHcqOr6Nsf65qsFHIwDE6qRkAHQj8IzO2XE8HDu/SIePxJGk+4Abba9TOEhGFpGm2X9V3PQW4tv9eRIwPSRcDn7F9TnP9BuBLtjevGiwmHEkvABay3aliTNlCFF21H7AFsLHt2wAkrQocIWk/29+omq6FbE+XdEuaGcfzRdISlAmdXp/Q84BDuvbBOM5Ok3Q6pd0ElOb2p1bMEzGZLdobNALYPlfSojUDxcQiaXNgFZoxmCRsH1s11ChkxTE6SdLVlO1d9w+5vwylVPsGdZK1m6TzgQ0oVbwe691P6f8YC5J+RulL2Ovn+D5gPdvvrpeq/SS9G9iyubzA9sk180RMVpJOpvQ6Pq659V7g1ba3r5cqJgpJx1FaoV1D2SUHYNsfrZdqdDJwjE6SdL3tdUb72mQn6fWD7qeKY4wFSdfYXn929+K5xvXL2b5oyP0tgbtt/7FOsojJS9JSwMH0TeQAB9l+sF6qmCgk3QSs1eW6EtmqGl311Fy+Nin1PaSeN+T+lsDddVLFBPSEpC1tXwggaQtmVJGLmX0TOGDA/Yeb194xvnEiohkgdmb1JzrneuDFdPi5KwPH6Kr1JD0y4L4ojcdjZnlIjfHwYeCY5qwjwIPA7vXitNpytqcNvWl7mqRVxj9OxOQl6ZSRXs9xjhgjLwJulHQZ8GTvZpd+vjJwjE6yPV/tDB2Th9R43tm+hjKpM7W5HjS5E8WSI7y28LiliAgojdjvohSpupQyCR0x1g6qHWBeZeAYMTnkITWed5K+BHzF9kPN9VLAP9n+bN1krXSFpD1tf7//pqQPAFdWyhQxWb0Y2AbYGdgF+DVwQvo3xliaCPUkUhwnYhKQdALw22EeUrexvVOdZDGRSLp6aEVjSVfZ3rBWpraStBxwMuVMdm+guBGwILC97XtqZYuYzJr+ejsDhwIH2/525UjRcZIutL2lpEeB/oGXKFVVp1aKNmoZOEZMAnlIjfEg6TpKb9Unm+uFgStsr103WXtJ2groVYG+wfZva+aJmKyaAePbKYPGVYBTgB/a/t+auaL7JK1q+9baOcZCBo4Rk0geUuP5JGl/SqGlo5tbewCn2P5KvVQRESOTdCzls/E3wI9tX185Ukwgkq60/WpJZ9t+Y+088yIDx4iIGDOS3gq8qbk80/bpNfNERMyOpGeBx5rLTm8ljPaRdDVwIqXy+DeGvm776+Meai6lOE5ERIwJSS8DzrV9WnO9sKRVbN9eN1lExPBsT6mdISa0vwPeRRl3LV45yzzJimNERIwJSVcAm9t+qrleELjI9sZ1k0VERNQlaVvbp9bOMS8ywxIREWNl/t6gEaD594IV80RERLRC1weNkIFjRESMnT9J2q53IemdwP0V80RERMQYyVbViIgYE5JWA44HVqAUlbgL2M32H6oGi4iIqEjSFGAz2xfXzjIvMnCMiIgxJWkxANt/qZ0lIiKiDSRdbXuD2jnmRaqqRkTEmJH0dmBtYCFJANg+pGqoiIiI+s6WtANwkju6cpcVx4iIGBOSjgQWAbYCjgJ2BC6z/Q9Vg0VERFQm6VFgUWA68AQd7BOagWNERIwJSdfZXrfv+2LAqbZfWztbREREzJtUVY2IiLHyRPP9cUkrAE8Dy1fMExER0Qoq3ivpc831ipI2qZ1rNDJwjIiIsfIrSUsChwJXAbcD/1k1UURERDv8O/AaYJfm+i/Ad+rFGb1sVY2IiDEn6QXAQrYfrp0lIiKiNklX2d6wv7qqpGttr1c725xKVdWIiBhztp8EnqydIyIioiWeljQfYABJywDP1o00OtmqGhERERER8fw6DDgZWFbSF4ELgS/VjTQ62aoaERERERHxPJO0BvBGSiuOs23fVDnSqGTFMSIixoSkQ4Zczyfp+Fp5IiIiWub3lFXHU4DHJK1UOc+oZOAYERFjZUVJB8BzxXFOonxIRkRETGqSPgLcC5wJ/Ar4dfO9M7JVNSIixoQkAccD04CtgN/Y/mbdVBEREfVJ+gOwqe0HameZWxk4RkTEPJG0Yd/lAsB3gYuAHwDYvqpGroiIiLaQdA6wje1nameZWxk4RkTEPGk+DIdj21uPW5iIiIgWkfTx5p9rA6+kbFF9rl2V7a/XyDU30scxIiLmie2tameIiIhoqcWb73c2Xws2X9D0dOyKrDhGRMSYaAri7ACsQt/EpO1Dhvt/IiIiJgNJ77F94uzutVmqqkZExFj5BfBO4Bngsb6viIiIye6AObzXWtmqGhERY+Wltt9aO0RERERbSNoWeBvwEkmH9b00lTLR2hkZOEZExFi5WNKrbE+rHSQiIqIl/g+4Etiu+d7zKLBflURzKWccIyJiTEi6EXg5cBulYpwoVVXXrRosIiKiMkmLUWoAAPzB9l8rxpkrGThGRMSYkLTyoPu27xjvLBEREW0gaX7gS8AelKqqAlYEjgY+Y/vpivFGJcVxIiJiTNi+oxkkPkEpMd77ioiImKwOBZYGVrX9atsbAqsBSwJfrZpslLLiGBERY0LSdsDXgBWA+4CVgZtsr101WERERCWSfg+8wkMGXZLmA262vXqdZKOXFceIiBgrnwc2A/7b9suANwKX1I0UERFRlYcOGpub0+nYrpwMHCMiYqw8bfsBYIqkKbbPATaqHSoiIqKiGyXtNvSmpPcCN1fIM9fSjiMiIsbKQ03VuPOB4yXdBzxWOVNERERN+wAnSfp7ZrTj2AhYGNi+Wqq5kDOOERExJiQtSimMMwXYFVgCOL5ZhYyIiJi0JG0N9M7832j77Jp55kYGjhERMeYkvQh4YNC5joiIiOienHGMiIh5ImkzSedKOknSBpKuB64H7pX01tr5IiIiYt5lxTEiIuaJpCuAT1O2pn4P2Nb2JZLWAE6wvUHVgBERETHPsuIYERHzan7bZ9g+EbjH9iUAtjtVLS4iIiKGl4FjRETMq2f7/v3EkNeyrSUiImICyFbViIiYJ5KmU9puiFJe/PHeS8BCtheolS0iIiLGRgaOERERERERMaJsVY2IiIiIiIgRZeAYERERERERI8rAMSIiIiIiIkaUgWNERERERESMKAPHiIiIiIiIGFEGjhERERERETGi/wczojyfBjwCPQAAAABJRU5ErkJggg==\n"
+          },
+          "metadata": {
+            "needs_background": "light"
+          }
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Finding how timely response and dispute rates are related to product"
+      ],
+      "metadata": {
+        "id": "0xh2A4-xccO-"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "timelyResponse = []\n",
+        "untimelyResponse = []\n",
+        "for i in range(len(productFrequency)):\n",
+        "  timelyResponse.append(len(data[(data['product']==productFrequency.index[i]) & (data['timely_response']=='Yes')]))\n",
+        "  untimelyResponse.append(len(data[(data['product']==productFrequency.index[i]) & (data['timely_response']=='No')]))\n",
+        "productFrequency['timelyResponse'] = timelyResponse\n",
+        "productFrequency['untimelyResponse'] = untimelyResponse"
+      ],
+      "metadata": {
+        "id": "eKIm9yWIMFm_"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "disputed = []\n",
+        "notDisputed = []\n",
+        "for i in range(len(productFrequency)):\n",
+        "  disputed.append(len(data[(data['product']==productFrequency.index[i]) & (data['consumer_disputed?']=='Yes')]))\n",
+        "  notDisputed.append(len(data[(data['product']==productFrequency.index[i]) & (data['consumer_disputed?']=='No')]))\n",
+        "productFrequency['disputed'] = disputed\n",
+        "productFrequency['notDisputed'] = notDisputed"
+      ],
+      "metadata": {
+        "id": "PRMrs8INQXd1"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "productFrequency['percentTimely'] = productFrequency['timelyResponse'] / (productFrequency['timelyResponse'] + productFrequency['untimelyResponse']) * 100\n",
+        "productFrequency['percentDisputed'] = productFrequency['disputed'] / (productFrequency['disputed'] + productFrequency['notDisputed']) * 100"
+      ],
+      "metadata": {
+        "id": "3gH7BG5ESIWz"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "productFrequency.head()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 206
+        },
+        "id": "zGa3Xe7DSjm0",
+        "outputId": "a15cd439-198b-430e-ee27-2256acc7b6cf"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "                         product  timelyResponse  untimelyResponse  disputed  \\\n",
+              "Mortgage                  186475          182245              4230     43276   \n",
+              "Debt collection           101052           93934              7118     18291   \n",
+              "Credit reporting           91854           91707               147     15072   \n",
+              "Credit card                66468           65871               597     13814   \n",
+              "Bank account or service    62563           61858               705     12308   \n",
+              "\n",
+              "                         notDisputed  percentTimely  percentDisputed  \n",
+              "Mortgage                      143199      97.731599        23.207400  \n",
+              "Debt collection                82761      92.956102        18.100582  \n",
+              "Credit reporting               76782      99.839963        16.408649  \n",
+              "Credit card                    52654      99.101823        20.782933  \n",
+              "Bank account or service        50255      98.873136        19.672970  "
+            ],
+            "text/html": [
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+              "        vertical-align: middle;\n",
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+              "  <thead>\n",
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+              "      <th></th>\n",
+              "      <th>product</th>\n",
+              "      <th>timelyResponse</th>\n",
+              "      <th>untimelyResponse</th>\n",
+              "      <th>disputed</th>\n",
+              "      <th>notDisputed</th>\n",
+              "      <th>percentTimely</th>\n",
+              "      <th>percentDisputed</th>\n",
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+              "  </thead>\n",
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+              "      <th>Mortgage</th>\n",
+              "      <td>186475</td>\n",
+              "      <td>182245</td>\n",
+              "      <td>4230</td>\n",
+              "      <td>43276</td>\n",
+              "      <td>143199</td>\n",
+              "      <td>97.731599</td>\n",
+              "      <td>23.207400</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>Debt collection</th>\n",
+              "      <td>101052</td>\n",
+              "      <td>93934</td>\n",
+              "      <td>7118</td>\n",
+              "      <td>18291</td>\n",
+              "      <td>82761</td>\n",
+              "      <td>92.956102</td>\n",
+              "      <td>18.100582</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>Credit reporting</th>\n",
+              "      <td>91854</td>\n",
+              "      <td>91707</td>\n",
+              "      <td>147</td>\n",
+              "      <td>15072</td>\n",
+              "      <td>76782</td>\n",
+              "      <td>99.839963</td>\n",
+              "      <td>16.408649</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>Credit card</th>\n",
+              "      <td>66468</td>\n",
+              "      <td>65871</td>\n",
+              "      <td>597</td>\n",
+              "      <td>13814</td>\n",
+              "      <td>52654</td>\n",
+              "      <td>99.101823</td>\n",
+              "      <td>20.782933</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>Bank account or service</th>\n",
+              "      <td>62563</td>\n",
+              "      <td>61858</td>\n",
+              "      <td>705</td>\n",
+              "      <td>12308</td>\n",
+              "      <td>50255</td>\n",
+              "      <td>98.873136</td>\n",
+              "      <td>19.672970</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-90cd8baa-b9e2-464b-bd3d-7f6bb72d7240')\"\n",
+              "              title=\"Convert this dataframe to an interactive table.\"\n",
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+              "  </svg>\n",
+              "      </button>\n",
+              "      \n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      flex-wrap:wrap;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
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+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "      <script>\n",
+              "        const buttonEl =\n",
+              "          document.querySelector('#df-90cd8baa-b9e2-464b-bd3d-7f6bb72d7240 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-90cd8baa-b9e2-464b-bd3d-7f6bb72d7240');\n",
+              "          const dataTable =\n",
+              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                     [key], {});\n",
+              "          if (!dataTable) return;\n",
+              "\n",
+              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "            + ' to learn more about interactive tables.';\n",
+              "          element.innerHTML = '';\n",
+              "          dataTable['output_type'] = 'display_data';\n",
+              "          await google.colab.output.renderOutput(dataTable, element);\n",
+              "          const docLink = document.createElement('div');\n",
+              "          docLink.innerHTML = docLinkHtml;\n",
+              "          element.appendChild(docLink);\n",
+              "        }\n",
+              "      </script>\n",
+              "    </div>\n",
+              "  </div>\n",
+              "  "
+            ]
+          },
+          "metadata": {},
+          "execution_count": 129
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Plots timely response and dispute rates per product"
+      ],
+      "metadata": {
+        "id": "cSTtp920cjjo"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "productFrequency['percentTimely'].plot(kind=\"bar\", figsize=(15, 10), title='Percent of Complaints Resolved in a Timely Manner', ylabel = 'Percentage', color = 'Purple')"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 736
+        },
+        "id": "TEyhzb4JSvHf",
+        "outputId": "69db4407-b25f-4d7d-a9b1-796ac905269e"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "<matplotlib.axes._subplots.AxesSubplot at 0x7f56fbd03150>"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 130
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 1080x720 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {
+            "needs_background": "light"
+          }
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "productFrequency['percentDisputed'].plot(kind=\"bar\", figsize=(15, 10), title='Percent of Complaints that Ended With a Dispute', ylabel = 'Percentage', color = 'Red')"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 736
+        },
+        "id": "WKd94ZFvSw2j",
+        "outputId": "a67f8021-2cc1-455a-a577-de7d443b2da3"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "<matplotlib.axes._subplots.AxesSubplot at 0x7f56fa441fd0>"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 131
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 1080x720 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {
+            "needs_background": "light"
+          }
+        }
+      ]
+    }
+  ]
+}
\ No newline at end of file
diff --git a/QuantDataSummary.pdf b/QuantDataSummary.pdf
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diff --git a/Quant_Assessment_Hypotheses.pdf b/Quant_Assessment_Hypotheses.pdf
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diff --git a/main.tex b/main.tex
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+++ b/main.tex
@@ -0,0 +1,16 @@
+\documentclass{article}
+\title{Future Hypotheses}
+\author{Eric Zhu}
+\begin{document}
+\maketitle
+\section{Machine Learning Applications}
+\subsection{A basic NLP model can be implemented to track the sentiment of both the consumer and the bank in their statements.}
+\subsection{This model can be combined with the other columns in the dataset to predict whether the consumer will dispute.}
+\subsection{By changing the wording of its statements as well as how it markets itself, the company can reduce costly disputes.}
+\section{Other Applications}
+\subsection{The company can work to see if location and product are actually correlated with the amount of disputes.}
+\subsection{If so, the company may want to focus in a single region in the beginning that does not have a high percentage of disputes.}
+\subsection{It is also worth investigating how interactions between consumers and customer service representatives affect disputes.}
+\subsection{The company can also try to figure out whether certain types of customers are prone to sending in disputes while others do not care at all about the outcome.}
+
+\end{document}