diff --git a/.ipynb_checkpoints/argument-checkpoint.ipynb b/.ipynb_checkpoints/argument-checkpoint.ipynb
new file mode 100644
index 0000000..20be531
--- /dev/null
+++ b/.ipynb_checkpoints/argument-checkpoint.ipynb
@@ -0,0 +1,625 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "worldwide-blood",
+   "metadata": {},
+   "source": [
+    "# Introduction"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "understanding-numbers",
+   "metadata": {},
+   "source": [
+    "*✏️ Write 2-3 sentences describing your research.*\n",
+    "\n",
+    "It's a collection of data on the reasons fatal car crashes occur in every state of America, and it will be used to determine which region of America is the deadliest. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "greater-circular",
+   "metadata": {},
+   "source": [
+    "## Overarching Question: What is the deadliest region in America to drive on?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "appreciated-testimony",
+   "metadata": {},
+   "source": [
+    "*✏️ Write 2-3 sentences explaining why this question.*\n",
+    "\n",
+    "I am interested in this because I live on the Northeast Coast and we have a lot of car \n",
+    "accidents. People drive very fast here. The roads are not always paved properly and maintained. I want to know if it's just bad luck when people get into accidents or if it's their own fault. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "permanent-pollution",
+   "metadata": {},
+   "source": [
+    "# Data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "technical-evans",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Include any import statements you will need\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "overhead-sigma",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "### 💻 FILL IN YOUR DATASET FILE NAME BELOW 💻 ###\n",
+    "\n",
+    "file_name = \"bad-drivers.csv\"\n",
+    "dataset_path = \"data/\" + file_name\n",
+    "\n",
+    "df = pd.read_csv(dataset_path)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "heated-blade",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<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>State</th>\n",
+       "      <th>Number of drivers involved in fatal collisions per billion miles</th>\n",
+       "      <th>Percentage Of Drivers Involved In Fatal Collisions Who Were Speeding</th>\n",
+       "      <th>Percentage Of Drivers Involved In Fatal Collisions Who Were Alcohol-Impaired</th>\n",
+       "      <th>Percentage Of Drivers Involved In Fatal Collisions Who Were Not Distracted</th>\n",
+       "      <th>Percentage Of Drivers Involved In Fatal Collisions Who Had Not Been Involved In Any Previous Accidents</th>\n",
+       "      <th>Car Insurance Premiums ($)</th>\n",
+       "      <th>Losses incurred by insurance companies for collisions per insured driver ($)</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Alabama</td>\n",
+       "      <td>18.8</td>\n",
+       "      <td>39</td>\n",
+       "      <td>30</td>\n",
+       "      <td>96</td>\n",
+       "      <td>80</td>\n",
+       "      <td>784.55</td>\n",
+       "      <td>145.08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Alaska</td>\n",
+       "      <td>18.1</td>\n",
+       "      <td>41</td>\n",
+       "      <td>25</td>\n",
+       "      <td>90</td>\n",
+       "      <td>94</td>\n",
+       "      <td>1053.48</td>\n",
+       "      <td>133.93</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Arizona</td>\n",
+       "      <td>18.6</td>\n",
+       "      <td>35</td>\n",
+       "      <td>28</td>\n",
+       "      <td>84</td>\n",
+       "      <td>96</td>\n",
+       "      <td>899.47</td>\n",
+       "      <td>110.35</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Arkansas</td>\n",
+       "      <td>22.4</td>\n",
+       "      <td>18</td>\n",
+       "      <td>26</td>\n",
+       "      <td>94</td>\n",
+       "      <td>95</td>\n",
+       "      <td>827.34</td>\n",
+       "      <td>142.39</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>California</td>\n",
+       "      <td>12.0</td>\n",
+       "      <td>35</td>\n",
+       "      <td>28</td>\n",
+       "      <td>91</td>\n",
+       "      <td>89</td>\n",
+       "      <td>878.41</td>\n",
+       "      <td>165.63</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        State  \\\n",
+       "0     Alabama   \n",
+       "1      Alaska   \n",
+       "2     Arizona   \n",
+       "3    Arkansas   \n",
+       "4  California   \n",
+       "\n",
+       "   Number of drivers involved in fatal collisions per billion miles  \\\n",
+       "0                                               18.8                  \n",
+       "1                                               18.1                  \n",
+       "2                                               18.6                  \n",
+       "3                                               22.4                  \n",
+       "4                                               12.0                  \n",
+       "\n",
+       "   Percentage Of Drivers Involved In Fatal Collisions Who Were Speeding  \\\n",
+       "0                                                 39                      \n",
+       "1                                                 41                      \n",
+       "2                                                 35                      \n",
+       "3                                                 18                      \n",
+       "4                                                 35                      \n",
+       "\n",
+       "   Percentage Of Drivers Involved In Fatal Collisions Who Were Alcohol-Impaired  \\\n",
+       "0                                                 30                              \n",
+       "1                                                 25                              \n",
+       "2                                                 28                              \n",
+       "3                                                 26                              \n",
+       "4                                                 28                              \n",
+       "\n",
+       "   Percentage Of Drivers Involved In Fatal Collisions Who Were Not Distracted  \\\n",
+       "0                                                 96                            \n",
+       "1                                                 90                            \n",
+       "2                                                 84                            \n",
+       "3                                                 94                            \n",
+       "4                                                 91                            \n",
+       "\n",
+       "   Percentage Of Drivers Involved In Fatal Collisions Who Had Not Been Involved In Any Previous Accidents  \\\n",
+       "0                                                 80                                                        \n",
+       "1                                                 94                                                        \n",
+       "2                                                 96                                                        \n",
+       "3                                                 95                                                        \n",
+       "4                                                 89                                                        \n",
+       "\n",
+       "   Car Insurance Premiums ($)  \\\n",
+       "0                      784.55   \n",
+       "1                     1053.48   \n",
+       "2                      899.47   \n",
+       "3                      827.34   \n",
+       "4                      878.41   \n",
+       "\n",
+       "   Losses incurred by insurance companies for collisions per insured driver ($)  \n",
+       "0                                             145.08                             \n",
+       "1                                             133.93                             \n",
+       "2                                             110.35                             \n",
+       "3                                             142.39                             \n",
+       "4                                             165.63                             "
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "continental-franklin",
+   "metadata": {},
+   "source": [
+    "**Data Overview**\n",
+    "\n",
+    "*✏️ Write 2-3 sentences describing this dataset. Be sure to include where the data comes from and what it contains.*\n",
+    "\n",
+    "I got the data set from FiveThirtyEight. It was used for an article called\n",
+    "\"Dear Mona, Which state has the worst drivers?\" in October 2014. The person who wrote the article is Mona Chalabi, they are a data editor at the Guardian US, \n",
+    "a columnist at New York Margazine, and a lead news writer for FiveThirtyEight.\n",
+    "\n",
+    "The date is about fatal collisions in each state. There are 7 rows, some of the rows\n",
+    "are about \"Percentage Of Drivers Involved In Fatal Collisions Who Were Alcohol-Impaired\" and \"Percentage Of Drivers Involved In Fatal Collisions Who Were Not Distracted\"\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6ba44c9c-60d1-46a4-8257-b4e8eeea348d",
+   "metadata": {},
+   "source": [
+    "I will recategorise the data so that all of the states data will be separated into the five regions of the United States"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "id": "f7bba5f3-5911-4a76-ad43-f6ce78cd4fb3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<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>State</th>\n",
+       "      <th>Number of drivers involved in fatal collisions per billion miles</th>\n",
+       "      <th>Percentage Of Drivers Involved In Fatal Collisions Who Were Speeding</th>\n",
+       "      <th>Percentage Of Drivers Involved In Fatal Collisions Who Were Alcohol-Impaired</th>\n",
+       "      <th>Percentage Of Drivers Involved In Fatal Collisions Who Were Not Distracted</th>\n",
+       "      <th>Percentage Of Drivers Involved In Fatal Collisions Who Had Not Been Involved In Any Previous Accidents</th>\n",
+       "      <th>Car Insurance Premiums ($)</th>\n",
+       "      <th>Losses incurred by insurance companies for collisions per insured driver ($)</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>32</th>\n",
+       "      <td>New York</td>\n",
+       "      <td>12.3</td>\n",
+       "      <td>32</td>\n",
+       "      <td>29</td>\n",
+       "      <td>88</td>\n",
+       "      <td>80</td>\n",
+       "      <td>1234.31</td>\n",
+       "      <td>150.01</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       State  \\\n",
+       "32  New York   \n",
+       "\n",
+       "    Number of drivers involved in fatal collisions per billion miles  \\\n",
+       "32                                               12.3                  \n",
+       "\n",
+       "    Percentage Of Drivers Involved In Fatal Collisions Who Were Speeding  \\\n",
+       "32                                                 32                      \n",
+       "\n",
+       "    Percentage Of Drivers Involved In Fatal Collisions Who Were Alcohol-Impaired  \\\n",
+       "32                                                 29                              \n",
+       "\n",
+       "    Percentage Of Drivers Involved In Fatal Collisions Who Were Not Distracted  \\\n",
+       "32                                                 88                            \n",
+       "\n",
+       "    Percentage Of Drivers Involved In Fatal Collisions Who Had Not Been Involved In Any Previous Accidents  \\\n",
+       "32                                                 80                                                        \n",
+       "\n",
+       "    Car Insurance Premiums ($)  \\\n",
+       "32                     1234.31   \n",
+       "\n",
+       "    Losses incurred by insurance companies for collisions per insured driver ($)  \n",
+       "32                                             150.01                             "
+      ]
+     },
+     "execution_count": 40,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "\n",
+    "Northeast = df[df.State == \"New York\"]\n",
+    "Northeast"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "infinite-instrument",
+   "metadata": {},
+   "source": [
+    "# Methods and Results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "basic-canadian",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Import any helper files you need here"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "recognized-positive",
+   "metadata": {},
+   "source": [
+    "## First Research Question: Is drinking and driving the biggest cause of fatal collisions?\\"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "graduate-palmer",
+   "metadata": {},
+   "source": [
+    "### Methods"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "endless-variation",
+   "metadata": {},
+   "source": [
+    "*Explain how you will approach this research question below. Consider the following:* \n",
+    "  - *Which aspects of the dataset will you use?* \n",
+    "  - *How will you reorganize/store the data?* \n",
+    "  - *What data science tools/functions will you use and why?* \n",
+    "  \n",
+    "✏️ *Write your answer below:*\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "portuguese-japan",
+   "metadata": {},
+   "source": [
+    "### Results "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "negative-highlight",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#######################################################################\n",
+    "### 💻 YOUR WORK GOES HERE TO ANSWER THE FIRST RESEARCH QUESTION 💻 \n",
+    "### \n",
+    "### Your data analysis may include a statistic and/or a data visualization\n",
+    "#######################################################################"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "victorian-burning",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 💻 YOU CAN ADD NEW CELLS WITH THE \"+\" BUTTON "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "collectible-puppy",
+   "metadata": {},
+   "source": [
+    "## Second Research Question: What state is the most unluckiest state for fatel collisions?\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "demographic-future",
+   "metadata": {},
+   "source": [
+    "### Methods"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "incorporate-roller",
+   "metadata": {},
+   "source": [
+    "*Explain how you will approach this research question below. Consider the following:* \n",
+    "  - *Which aspects of the dataset will you use?* \n",
+    "  - *How will you reorganize/store the data?* \n",
+    "  - *What data science tools/functions will you use and why?* \n",
+    "\n",
+    "✏️ *Write your answer below:*\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "juvenile-creation",
+   "metadata": {},
+   "source": [
+    "### Results "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "pursuant-surrey",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#######################################################################\n",
+    "### 💻 YOUR WORK GOES HERE TO ANSWER THE SECOND RESEARCH QUESTION 💻 \n",
+    "###\n",
+    "### Your data analysis may include a statistic and/or a data visualization\n",
+    "#######################################################################"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "located-night",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 💻 YOU CAN ADD NEW CELLS WITH THE \"+\" BUTTON "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "infectious-symbol",
+   "metadata": {},
+   "source": [
+    "# Discussion"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "furnished-camping",
+   "metadata": {
+    "code_folding": []
+   },
+   "source": [
+    "## Considerations"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bearing-stadium",
+   "metadata": {},
+   "source": [
+    "*It's important to recognize the limitations of our research.\n",
+    "Consider the following:*\n",
+    "\n",
+    "- *Do the results give an accurate depiction of your research question? Why or why not?*\n",
+    "- *What were limitations of your datset?*\n",
+    "- *Are there any known biases in the data?*\n",
+    "\n",
+    "✏️ *Write your answer below:*"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "beneficial-invasion",
+   "metadata": {},
+   "source": [
+    "## Summary"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "about-raise",
+   "metadata": {},
+   "source": [
+    "*Summarize what you discovered through the research. Consider the following:*\n",
+    "\n",
+    "- *What did you learn about your media consumption/digital habits?*\n",
+    "- *Did the results make sense?*\n",
+    "- *What was most surprising?*\n",
+    "- *How will this project impact you going forward?*\n",
+    "\n",
+    "✏️ *Write your answer below:*"
+   ]
+  }
+ ],
+ "metadata": {
+  "jupytext": {
+   "cell_metadata_json": true,
+   "text_representation": {
+    "extension": ".Rmd",
+    "format_name": "rmarkdown",
+    "format_version": "1.2",
+    "jupytext_version": "1.9.1"
+   }
+  },
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.13.7"
+  },
+  "toc": {
+   "base_numbering": 1,
+   "nav_menu": {},
+   "number_sections": false,
+   "sideBar": true,
+   "skip_h1_title": false,
+   "title_cell": "Table of Contents",
+   "title_sidebar": "Contents",
+   "toc_cell": false,
+   "toc_position": {},
+   "toc_section_display": true,
+   "toc_window_display": false
+  },
+  "varInspector": {
+   "cols": {
+    "lenName": 16,
+    "lenType": 16,
+    "lenVar": 40
+   },
+   "kernels_config": {
+    "python": {
+     "delete_cmd_postfix": "",
+     "delete_cmd_prefix": "del ",
+     "library": "var_list.py",
+     "varRefreshCmd": "print(var_dic_list())"
+    },
+    "r": {
+     "delete_cmd_postfix": ") ",
+     "delete_cmd_prefix": "rm(",
+     "library": "var_list.r",
+     "varRefreshCmd": "cat(var_dic_list()) "
+    }
+   },
+   "types_to_exclude": [
+    "module",
+    "function",
+    "builtin_function_or_method",
+    "instance",
+    "_Feature"
+   ],
+   "window_display": false
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/argument.ipynb b/argument.ipynb
index 4ed27b4..20be531 100644
--- a/argument.ipynb
+++ b/argument.ipynb
@@ -13,7 +13,9 @@
    "id": "understanding-numbers",
    "metadata": {},
    "source": [
-    "*✏️ Write 2-3 sentences describing your research.*"
+    "*✏️ Write 2-3 sentences describing your research.*\n",
+    "\n",
+    "It's a collection of data on the reasons fatal car crashes occur in every state of America, and it will be used to determine which region of America is the deadliest. "
    ]
   },
   {
@@ -21,7 +23,7 @@
    "id": "greater-circular",
    "metadata": {},
    "source": [
-    "## Overarching Question: [✏️ PUT YOUR QUESTION HERE ✏️]"
+    "## Overarching Question: What is the deadliest region in America to drive on?"
    ]
   },
   {
@@ -29,7 +31,10 @@
    "id": "appreciated-testimony",
    "metadata": {},
    "source": [
-    "*✏️ Write 2-3 sentences explaining why this question.*"
+    "*✏️ Write 2-3 sentences explaining why this question.*\n",
+    "\n",
+    "I am interested in this because I live on the Northeast Coast and we have a lot of car \n",
+    "accidents. People drive very fast here. The roads are not always paved properly and maintained. I want to know if it's just bad luck when people get into accidents or if it's their own fault. "
    ]
   },
   {
@@ -42,7 +47,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "id": "technical-evans",
    "metadata": {},
    "outputs": [],
@@ -54,14 +59,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "id": "overhead-sigma",
    "metadata": {},
    "outputs": [],
    "source": [
     "### 💻 FILL IN YOUR DATASET FILE NAME BELOW 💻 ###\n",
     "\n",
-    "file_name = \"YOUR_DATASET_FILE_NAME.csv\"\n",
+    "file_name = \"bad-drivers.csv\"\n",
     "dataset_path = \"data/\" + file_name\n",
     "\n",
     "df = pd.read_csv(dataset_path)"
@@ -69,10 +74,164 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "id": "heated-blade",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<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>State</th>\n",
+       "      <th>Number of drivers involved in fatal collisions per billion miles</th>\n",
+       "      <th>Percentage Of Drivers Involved In Fatal Collisions Who Were Speeding</th>\n",
+       "      <th>Percentage Of Drivers Involved In Fatal Collisions Who Were Alcohol-Impaired</th>\n",
+       "      <th>Percentage Of Drivers Involved In Fatal Collisions Who Were Not Distracted</th>\n",
+       "      <th>Percentage Of Drivers Involved In Fatal Collisions Who Had Not Been Involved In Any Previous Accidents</th>\n",
+       "      <th>Car Insurance Premiums ($)</th>\n",
+       "      <th>Losses incurred by insurance companies for collisions per insured driver ($)</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Alabama</td>\n",
+       "      <td>18.8</td>\n",
+       "      <td>39</td>\n",
+       "      <td>30</td>\n",
+       "      <td>96</td>\n",
+       "      <td>80</td>\n",
+       "      <td>784.55</td>\n",
+       "      <td>145.08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Alaska</td>\n",
+       "      <td>18.1</td>\n",
+       "      <td>41</td>\n",
+       "      <td>25</td>\n",
+       "      <td>90</td>\n",
+       "      <td>94</td>\n",
+       "      <td>1053.48</td>\n",
+       "      <td>133.93</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Arizona</td>\n",
+       "      <td>18.6</td>\n",
+       "      <td>35</td>\n",
+       "      <td>28</td>\n",
+       "      <td>84</td>\n",
+       "      <td>96</td>\n",
+       "      <td>899.47</td>\n",
+       "      <td>110.35</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Arkansas</td>\n",
+       "      <td>22.4</td>\n",
+       "      <td>18</td>\n",
+       "      <td>26</td>\n",
+       "      <td>94</td>\n",
+       "      <td>95</td>\n",
+       "      <td>827.34</td>\n",
+       "      <td>142.39</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>California</td>\n",
+       "      <td>12.0</td>\n",
+       "      <td>35</td>\n",
+       "      <td>28</td>\n",
+       "      <td>91</td>\n",
+       "      <td>89</td>\n",
+       "      <td>878.41</td>\n",
+       "      <td>165.63</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        State  \\\n",
+       "0     Alabama   \n",
+       "1      Alaska   \n",
+       "2     Arizona   \n",
+       "3    Arkansas   \n",
+       "4  California   \n",
+       "\n",
+       "   Number of drivers involved in fatal collisions per billion miles  \\\n",
+       "0                                               18.8                  \n",
+       "1                                               18.1                  \n",
+       "2                                               18.6                  \n",
+       "3                                               22.4                  \n",
+       "4                                               12.0                  \n",
+       "\n",
+       "   Percentage Of Drivers Involved In Fatal Collisions Who Were Speeding  \\\n",
+       "0                                                 39                      \n",
+       "1                                                 41                      \n",
+       "2                                                 35                      \n",
+       "3                                                 18                      \n",
+       "4                                                 35                      \n",
+       "\n",
+       "   Percentage Of Drivers Involved In Fatal Collisions Who Were Alcohol-Impaired  \\\n",
+       "0                                                 30                              \n",
+       "1                                                 25                              \n",
+       "2                                                 28                              \n",
+       "3                                                 26                              \n",
+       "4                                                 28                              \n",
+       "\n",
+       "   Percentage Of Drivers Involved In Fatal Collisions Who Were Not Distracted  \\\n",
+       "0                                                 96                            \n",
+       "1                                                 90                            \n",
+       "2                                                 84                            \n",
+       "3                                                 94                            \n",
+       "4                                                 91                            \n",
+       "\n",
+       "   Percentage Of Drivers Involved In Fatal Collisions Who Had Not Been Involved In Any Previous Accidents  \\\n",
+       "0                                                 80                                                        \n",
+       "1                                                 94                                                        \n",
+       "2                                                 96                                                        \n",
+       "3                                                 95                                                        \n",
+       "4                                                 89                                                        \n",
+       "\n",
+       "   Car Insurance Premiums ($)  \\\n",
+       "0                      784.55   \n",
+       "1                     1053.48   \n",
+       "2                      899.47   \n",
+       "3                      827.34   \n",
+       "4                      878.41   \n",
+       "\n",
+       "   Losses incurred by insurance companies for collisions per insured driver ($)  \n",
+       "0                                             145.08                             \n",
+       "1                                             133.93                             \n",
+       "2                                             110.35                             \n",
+       "3                                             142.39                             \n",
+       "4                                             165.63                             "
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "df.head()"
    ]
@@ -84,7 +243,113 @@
    "source": [
     "**Data Overview**\n",
     "\n",
-    "*✏️ Write 2-3 sentences describing this dataset. Be sure to include where the data comes from and what it contains.*"
+    "*✏️ Write 2-3 sentences describing this dataset. Be sure to include where the data comes from and what it contains.*\n",
+    "\n",
+    "I got the data set from FiveThirtyEight. It was used for an article called\n",
+    "\"Dear Mona, Which state has the worst drivers?\" in October 2014. The person who wrote the article is Mona Chalabi, they are a data editor at the Guardian US, \n",
+    "a columnist at New York Margazine, and a lead news writer for FiveThirtyEight.\n",
+    "\n",
+    "The date is about fatal collisions in each state. There are 7 rows, some of the rows\n",
+    "are about \"Percentage Of Drivers Involved In Fatal Collisions Who Were Alcohol-Impaired\" and \"Percentage Of Drivers Involved In Fatal Collisions Who Were Not Distracted\"\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6ba44c9c-60d1-46a4-8257-b4e8eeea348d",
+   "metadata": {},
+   "source": [
+    "I will recategorise the data so that all of the states data will be separated into the five regions of the United States"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "id": "f7bba5f3-5911-4a76-ad43-f6ce78cd4fb3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<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>State</th>\n",
+       "      <th>Number of drivers involved in fatal collisions per billion miles</th>\n",
+       "      <th>Percentage Of Drivers Involved In Fatal Collisions Who Were Speeding</th>\n",
+       "      <th>Percentage Of Drivers Involved In Fatal Collisions Who Were Alcohol-Impaired</th>\n",
+       "      <th>Percentage Of Drivers Involved In Fatal Collisions Who Were Not Distracted</th>\n",
+       "      <th>Percentage Of Drivers Involved In Fatal Collisions Who Had Not Been Involved In Any Previous Accidents</th>\n",
+       "      <th>Car Insurance Premiums ($)</th>\n",
+       "      <th>Losses incurred by insurance companies for collisions per insured driver ($)</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>32</th>\n",
+       "      <td>New York</td>\n",
+       "      <td>12.3</td>\n",
+       "      <td>32</td>\n",
+       "      <td>29</td>\n",
+       "      <td>88</td>\n",
+       "      <td>80</td>\n",
+       "      <td>1234.31</td>\n",
+       "      <td>150.01</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       State  \\\n",
+       "32  New York   \n",
+       "\n",
+       "    Number of drivers involved in fatal collisions per billion miles  \\\n",
+       "32                                               12.3                  \n",
+       "\n",
+       "    Percentage Of Drivers Involved In Fatal Collisions Who Were Speeding  \\\n",
+       "32                                                 32                      \n",
+       "\n",
+       "    Percentage Of Drivers Involved In Fatal Collisions Who Were Alcohol-Impaired  \\\n",
+       "32                                                 29                              \n",
+       "\n",
+       "    Percentage Of Drivers Involved In Fatal Collisions Who Were Not Distracted  \\\n",
+       "32                                                 88                            \n",
+       "\n",
+       "    Percentage Of Drivers Involved In Fatal Collisions Who Had Not Been Involved In Any Previous Accidents  \\\n",
+       "32                                                 80                                                        \n",
+       "\n",
+       "    Car Insurance Premiums ($)  \\\n",
+       "32                     1234.31   \n",
+       "\n",
+       "    Losses incurred by insurance companies for collisions per insured driver ($)  \n",
+       "32                                             150.01                             "
+      ]
+     },
+     "execution_count": 40,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "\n",
+    "Northeast = df[df.State == \"New York\"]\n",
+    "Northeast"
    ]
   },
   {
@@ -110,7 +375,7 @@
    "id": "recognized-positive",
    "metadata": {},
    "source": [
-    "## First Research Question: [✏️ PUT YOUR QUESTION HERE ✏️]\n"
+    "## First Research Question: Is drinking and driving the biggest cause of fatal collisions?\\"
    ]
   },
   {
@@ -172,7 +437,7 @@
    "id": "collectible-puppy",
    "metadata": {},
    "source": [
-    "## Second Research Question: [✏️ PUT YOUR QUESTION HERE ✏️]\n"
+    "## Second Research Question: What state is the most unluckiest state for fatel collisions?\n"
    ]
   },
   {
@@ -310,7 +575,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.7"
+   "version": "3.13.7"
   },
   "toc": {
    "base_numbering": 1,
diff --git a/data/bad-drivers.csv b/data/bad-drivers.csv
new file mode 100644
index 0000000..d90f8ec
--- /dev/null
+++ b/data/bad-drivers.csv
@@ -0,0 +1,52 @@
+State,Number of drivers involved in fatal collisions per billion miles,Percentage Of Drivers Involved In Fatal Collisions Who Were Speeding,Percentage Of Drivers Involved In Fatal Collisions Who Were Alcohol-Impaired,Percentage Of Drivers Involved In Fatal Collisions Who Were Not Distracted,Percentage Of Drivers Involved In Fatal Collisions Who Had Not Been Involved In Any Previous Accidents,Car Insurance Premiums ($),Losses incurred by insurance companies for collisions per insured driver ($)
+Alabama,18.8,39,30,96,80,784.55,145.08
+Alaska,18.1,41,25,90,94,1053.48,133.93
+Arizona,18.6,35,28,84,96,899.47,110.35
+Arkansas,22.4,18,26,94,95,827.34,142.39
+California,12,35,28,91,89,878.41,165.63
+Colorado,13.6,37,28,79,95,835.5,139.91
+Connecticut,10.8,46,36,87,82,1068.73,167.02
+Delaware,16.2,38,30,87,99,1137.87,151.48
+District of Columbia,5.9,34,27,100,100,1273.89,136.05
+Florida,17.9,21,29,92,94,1160.13,144.18
+Georgia,15.6,19,25,95,93,913.15,142.8
+Hawaii,17.5,54,41,82,87,861.18,120.92
+Idaho,15.3,36,29,85,98,641.96,82.75
+Illinois,12.8,36,34,94,96,803.11,139.15
+Indiana,14.5,25,29,95,95,710.46,108.92
+Iowa,15.7,17,25,97,87,649.06,114.47
+Kansas,17.8,27,24,77,85,780.45,133.8
+Kentucky,21.4,19,23,78,76,872.51,137.13
+Louisiana,20.5,35,33,73,98,1281.55,194.78
+Maine,15.1,38,30,87,84,661.88,96.57
+Maryland,12.5,34,32,71,99,1048.78,192.7
+Massachusetts,8.2,23,35,87,80,1011.14,135.63
+Michigan,14.1,24,28,95,77,1110.61,152.26
+Minnesota,9.6,23,29,88,88,777.18,133.35
+Mississippi,17.6,15,31,10,100,896.07,155.77
+Missouri,16.1,43,34,92,84,790.32,144.45
+Montana,21.4,39,44,84,85,816.21,85.15
+Nebraska,14.9,13,35,93,90,732.28,114.82
+Nevada,14.7,37,32,95,99,1029.87,138.71
+New Hampshire,11.6,35,30,87,83,746.54,120.21
+New Jersey,11.2,16,28,86,78,1301.52,159.85
+New Mexico,18.4,19,27,67,98,869.85,120.75
+New York,12.3,32,29,88,80,1234.31,150.01
+North Carolina,16.8,39,31,94,81,708.24,127.82
+North Dakota,23.9,23,42,99,86,688.75,109.72
+Ohio,14.1,28,34,99,82,697.73,133.52
+Oklahoma,19.9,32,29,92,94,881.51,178.86
+Oregon,12.8,33,26,67,90,804.71,104.61
+Pennsylvania,18.2,50,31,96,88,905.99,153.86
+Rhode Island,11.1,34,38,92,79,1148.99,148.58
+South Carolina,23.9,38,41,96,81,858.97,116.29
+South Dakota,19.4,31,33,98,86,669.31,96.87
+Tennessee,19.5,21,29,82,81,767.91,155.57
+Texas,19.4,40,38,91,87,1004.75,156.83
+Utah,11.3,43,16,88,96,809.38,109.48
+Vermont,13.6,30,30,96,95,716.2,109.61
+Virginia,12.7,19,27,87,88,768.95,153.72
+Washington,10.6,42,33,82,86,890.03,111.62
+West Virginia,23.8,34,28,97,87,992.61,152.56
+Wisconsin,13.8,36,33,39,84,670.31,106.62
+Wyoming,17.4,42,32,81,90,791.14,122.04
\ No newline at end of file