Investigate_a_Dataset.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "\n",
    "# Project: Investigating NICS background checks with FBI Gun Data\n",
    "# \n",
    "\n",
    "\n",
    "## Table of Contents\n",
    "<ul>\n",
    "<li><a href=\"#intro\">Introduction</a></li>\n",
    "<li><a href=\"#wrangling\">Data Wrangling</a></li>\n",
    "<li><a href=\"#cleaning\">Data Cleaning</a></li>\n",
    "<li><a href=\"#eda\">Exploratory Data Analysis</a></li>\n",
    "<li><a href=\"#Research Question 1\">Research Question 1 : What census data is most associated with high gun per capita?</a></li>\n",
    "<li><a href=\"#Research Question 2\">Research Questinon 2: Which states have had the highest growth in gun registrations?</a></li>\n",
    "<li><a href=\"#Research Question 3\">Research Question 3: What is the overall trend of gun purchases?</a></li>    \n",
    "<li><a href=\"#conclusions\">Conclusions</a></li>\n",
    "    \n",
    "    \n",
    "</ul>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='intro'></a>\n",
    "## Introduction\n",
    "\n",
    "> The data that is used in this project is retrieved from the FBI's National Instant Criminal Background Check System. The goal of this project is invesitigating NICS background checks to identify data trends of US gun purchases and creating visualisations using Python,NumPy, Pandas and Matplotlib.\n",
    "\n",
    "> The NICS bankground check is used by to determine whether a prospective buyer is eligible to buy firms or explosives. Gun shops call into this system to ensure that each customer does not have a criminal record or isn’t otherwise ineligible to make a purchase. The data has been supplemented with state level data from census.gov."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Use this cell to set up import statements for all of the packages that you\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import datetime\n",
    "from statistics import mode\n",
    "import seaborn as sns\n",
    "% matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "get_ipython().run_line_magic('matplotlib', 'inline')\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='wrangling'></a>\n",
    "## Data Wrangling\n",
    "\n",
    "> **Tip**: In this section of the report, you will load in the data, check for cleanliness, and then trim and clean your dataset for analysis. Make sure that you document your steps carefully and justify your cleaning decisions.\n",
    "\n",
    "### General Properties"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "#read from CSV file\n",
    "census = pd.read_csv('U.S. Census Data.csv')\n",
    "#read from excel data format file \n",
    "gun = pd.read_excel('gun_data.xlsx')\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>month</th>\n",
       "      <th>state</th>\n",
       "      <th>permit</th>\n",
       "      <th>permit_recheck</th>\n",
       "      <th>handgun</th>\n",
       "      <th>long_gun</th>\n",
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       "      <th>prepawn_handgun</th>\n",
       "      <th>...</th>\n",
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       "      <th>rentals_handgun</th>\n",
       "      <th>rentals_long_gun</th>\n",
       "      <th>private_sale_handgun</th>\n",
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       "      <th>private_sale_other</th>\n",
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       "      <th>return_to_seller_long_gun</th>\n",
       "      <th>return_to_seller_other</th>\n",
       "      <th>totals</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2017-09</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>16717.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5734.0</td>\n",
       "      <td>6320.0</td>\n",
       "      <td>221.0</td>\n",
       "      <td>317</td>\n",
       "      <td>0.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>...</td>\n",
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       "      <td>9.0</td>\n",
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       "      <td>2017-09</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>209.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2320.0</td>\n",
       "      <td>2930.0</td>\n",
       "      <td>219.0</td>\n",
       "      <td>160</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2017-09</td>\n",
       "      <td>Arizona</td>\n",
       "      <td>5069.0</td>\n",
       "      <td>382.0</td>\n",
       "      <td>11063.0</td>\n",
       "      <td>7946.0</td>\n",
       "      <td>920.0</td>\n",
       "      <td>631</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>28394</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2017-09</td>\n",
       "      <td>Arkansas</td>\n",
       "      <td>2935.0</td>\n",
       "      <td>632.0</td>\n",
       "      <td>4347.0</td>\n",
       "      <td>6063.0</td>\n",
       "      <td>165.0</td>\n",
       "      <td>366</td>\n",
       "      <td>51.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>23.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>17747</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2017-09</td>\n",
       "      <td>California</td>\n",
       "      <td>57839.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>37165.0</td>\n",
       "      <td>24581.0</td>\n",
       "      <td>2984.0</td>\n",
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       "  </tbody>\n",
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       "<p>5 rows × 27 columns</p>\n",
       "</div>"
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       "     month       state   permit  permit_recheck  handgun  long_gun   other  \\\n",
       "0  2017-09     Alabama  16717.0             0.0   5734.0    6320.0   221.0   \n",
       "1  2017-09      Alaska    209.0             2.0   2320.0    2930.0   219.0   \n",
       "2  2017-09     Arizona   5069.0           382.0  11063.0    7946.0   920.0   \n",
       "3  2017-09    Arkansas   2935.0           632.0   4347.0    6063.0   165.0   \n",
       "4  2017-09  California  57839.0             0.0  37165.0   24581.0  2984.0   \n",
       "\n",
       "   multiple  admin  prepawn_handgun   ...    returned_other  rentals_handgun  \\\n",
       "0       317    0.0             15.0   ...               0.0              0.0   \n",
       "1       160    0.0              5.0   ...               0.0              0.0   \n",
       "2       631    0.0             13.0   ...               0.0              0.0   \n",
       "3       366   51.0             12.0   ...               0.0              0.0   \n",
       "4         0    0.0              0.0   ...               0.0              0.0   \n",
       "\n",
       "   rentals_long_gun  private_sale_handgun  private_sale_long_gun  \\\n",
       "0               0.0                   9.0                   16.0   \n",
       "1               0.0                  17.0                   24.0   \n",
       "2               0.0                  38.0                   12.0   \n",
       "3               0.0                  13.0                   23.0   \n",
       "4               0.0                   0.0                    0.0   \n",
       "\n",
       "   private_sale_other  return_to_seller_handgun  return_to_seller_long_gun  \\\n",
       "0                 3.0                       0.0                        0.0   \n",
       "1                 1.0                       0.0                        0.0   \n",
       "2                 2.0                       0.0                        0.0   \n",
       "3                 0.0                       0.0                        2.0   \n",
       "4                 0.0                       0.0                        0.0   \n",
       "\n",
       "   return_to_seller_other  totals  \n",
       "0                     3.0   32019  \n",
       "1                     0.0    6303  \n",
       "2                     0.0   28394  \n",
       "3                     1.0   17747  \n",
       "4                     0.0  123506  \n",
       "\n",
       "[5 rows x 27 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gun.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
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       "  </thead>\n",
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       "      <td>990.000000</td>\n",
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       "      <td>6413.629404</td>\n",
       "      <td>1165.956364</td>\n",
       "      <td>5940.881107</td>\n",
       "      <td>7810.847585</td>\n",
       "      <td>360.471636</td>\n",
       "      <td>268.603364</td>\n",
       "      <td>58.898090</td>\n",
       "      <td>4.828021</td>\n",
       "      <td>7.834156</td>\n",
       "      <td>0.165591</td>\n",
       "      <td>...</td>\n",
       "      <td>1.027548</td>\n",
       "      <td>0.076768</td>\n",
       "      <td>0.087273</td>\n",
       "      <td>14.936000</td>\n",
       "      <td>11.602909</td>\n",
       "      <td>1.030182</td>\n",
       "      <td>0.402020</td>\n",
       "      <td>0.441818</td>\n",
       "      <td>0.105987</td>\n",
       "      <td>21595.725911</td>\n",
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       "      <th>std</th>\n",
       "      <td>23752.338269</td>\n",
       "      <td>9224.200609</td>\n",
       "      <td>8618.584060</td>\n",
       "      <td>9309.846140</td>\n",
       "      <td>1349.478273</td>\n",
       "      <td>783.185073</td>\n",
       "      <td>604.814818</td>\n",
       "      <td>10.907756</td>\n",
       "      <td>16.468028</td>\n",
       "      <td>1.057105</td>\n",
       "      <td>...</td>\n",
       "      <td>4.386296</td>\n",
       "      <td>0.634503</td>\n",
       "      <td>0.671649</td>\n",
       "      <td>71.216021</td>\n",
       "      <td>54.253090</td>\n",
       "      <td>4.467843</td>\n",
       "      <td>1.446568</td>\n",
       "      <td>1.528223</td>\n",
       "      <td>0.427363</td>\n",
       "      <td>32591.418387</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>865.000000</td>\n",
       "      <td>2078.250000</td>\n",
       "      <td>17.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>518.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3059.000000</td>\n",
       "      <td>5122.000000</td>\n",
       "      <td>121.000000</td>\n",
       "      <td>125.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>12399.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>7280.000000</td>\n",
       "      <td>10380.750000</td>\n",
       "      <td>354.000000</td>\n",
       "      <td>301.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>25453.000000</td>\n",
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       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>522188.000000</td>\n",
       "      <td>116681.000000</td>\n",
       "      <td>107224.000000</td>\n",
       "      <td>108058.000000</td>\n",
       "      <td>77929.000000</td>\n",
       "      <td>38907.000000</td>\n",
       "      <td>28083.000000</td>\n",
       "      <td>164.000000</td>\n",
       "      <td>269.000000</td>\n",
       "      <td>49.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>64.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>1017.000000</td>\n",
       "      <td>777.000000</td>\n",
       "      <td>71.000000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>17.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>541978.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              permit  permit_recheck        handgun       long_gun  \\\n",
       "count   12461.000000     1100.000000   12465.000000   12466.000000   \n",
       "mean     6413.629404     1165.956364    5940.881107    7810.847585   \n",
       "std     23752.338269     9224.200609    8618.584060    9309.846140   \n",
       "min         0.000000        0.000000       0.000000       0.000000   \n",
       "25%         0.000000        0.000000     865.000000    2078.250000   \n",
       "50%       518.000000        0.000000    3059.000000    5122.000000   \n",
       "75%      4272.000000        0.000000    7280.000000   10380.750000   \n",
       "max    522188.000000   116681.000000  107224.000000  108058.000000   \n",
       "\n",
       "              other      multiple         admin  prepawn_handgun  \\\n",
       "count   5500.000000  12485.000000  12462.000000     10542.000000   \n",
       "mean     360.471636    268.603364     58.898090         4.828021   \n",
       "std     1349.478273    783.185073    604.814818        10.907756   \n",
       "min        0.000000      0.000000      0.000000         0.000000   \n",
       "25%       17.000000     15.000000      0.000000         0.000000   \n",
       "50%      121.000000    125.000000      0.000000         0.000000   \n",
       "75%      354.000000    301.000000      0.000000         5.000000   \n",
       "max    77929.000000  38907.000000  28083.000000       164.000000   \n",
       "\n",
       "       prepawn_long_gun  prepawn_other      ...        returned_other  \\\n",
       "count      10540.000000    5115.000000      ...           1815.000000   \n",
       "mean           7.834156       0.165591      ...              1.027548   \n",
       "std           16.468028       1.057105      ...              4.386296   \n",
       "min            0.000000       0.000000      ...              0.000000   \n",
       "25%            0.000000       0.000000      ...              0.000000   \n",
       "50%            1.000000       0.000000      ...              0.000000   \n",
       "75%            8.000000       0.000000      ...              0.000000   \n",
       "max          269.000000      49.000000      ...             64.000000   \n",
       "\n",
       "       rentals_handgun  rentals_long_gun  private_sale_handgun  \\\n",
       "count       990.000000        825.000000           2750.000000   \n",
       "mean          0.076768          0.087273             14.936000   \n",
       "std           0.634503          0.671649             71.216021   \n",
       "min           0.000000          0.000000              0.000000   \n",
       "25%           0.000000          0.000000              0.000000   \n",
       "50%           0.000000          0.000000              0.000000   \n",
       "75%           0.000000          0.000000              2.000000   \n",
       "max          12.000000         12.000000           1017.000000   \n",
       "\n",
       "       private_sale_long_gun  private_sale_other  return_to_seller_handgun  \\\n",
       "count            2750.000000         2750.000000               2475.000000   \n",
       "mean               11.602909            1.030182                  0.402020   \n",
       "std                54.253090            4.467843                  1.446568   \n",
       "min                 0.000000            0.000000                  0.000000   \n",
       "25%                 0.000000            0.000000                  0.000000   \n",
       "50%                 0.000000            0.000000                  0.000000   \n",
       "75%                 4.000000            0.000000                  0.000000   \n",
       "max               777.000000           71.000000                 28.000000   \n",
       "\n",
       "       return_to_seller_long_gun  return_to_seller_other         totals  \n",
       "count                2750.000000             2255.000000   12485.000000  \n",
       "mean                    0.441818                0.105987   21595.725911  \n",
       "std                     1.528223                0.427363   32591.418387  \n",
       "min                     0.000000                0.000000       0.000000  \n",
       "25%                     0.000000                0.000000    4638.000000  \n",
       "50%                     0.000000                0.000000   12399.000000  \n",
       "75%                     0.000000                0.000000   25453.000000  \n",
       "max                    17.000000                4.000000  541978.000000  \n",
       "\n",
       "[8 rows x 25 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gun.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Fact</th>\n",
       "      <th>Fact Note</th>\n",
       "      <th>Alabama</th>\n",
       "      <th>Alaska</th>\n",
       "      <th>Arizona</th>\n",
       "      <th>Arkansas</th>\n",
       "      <th>California</th>\n",
       "      <th>Colorado</th>\n",
       "      <th>Connecticut</th>\n",
       "      <th>Delaware</th>\n",
       "      <th>...</th>\n",
       "      <th>South Dakota</th>\n",
       "      <th>Tennessee</th>\n",
       "      <th>Texas</th>\n",
       "      <th>Utah</th>\n",
       "      <th>Vermont</th>\n",
       "      <th>Virginia</th>\n",
       "      <th>Washington</th>\n",
       "      <th>West Virginia</th>\n",
       "      <th>Wisconsin</th>\n",
       "      <th>Wyoming</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Population estimates, July 1, 2016,  (V2016)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4,863,300</td>\n",
       "      <td>741,894</td>\n",
       "      <td>6,931,071</td>\n",
       "      <td>2,988,248</td>\n",
       "      <td>39,250,017</td>\n",
       "      <td>5,540,545</td>\n",
       "      <td>3,576,452</td>\n",
       "      <td>952,065</td>\n",
       "      <td>...</td>\n",
       "      <td>865454</td>\n",
       "      <td>6651194</td>\n",
       "      <td>27,862,596</td>\n",
       "      <td>3,051,217</td>\n",
       "      <td>624,594</td>\n",
       "      <td>8,411,808</td>\n",
       "      <td>7,288,000</td>\n",
       "      <td>1,831,102</td>\n",
       "      <td>5,778,708</td>\n",
       "      <td>585,501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Population estimates base, April 1, 2010,  (V2...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4,780,131</td>\n",
       "      <td>710,249</td>\n",
       "      <td>6,392,301</td>\n",
       "      <td>2,916,025</td>\n",
       "      <td>37,254,522</td>\n",
       "      <td>5,029,324</td>\n",
       "      <td>3,574,114</td>\n",
       "      <td>897,936</td>\n",
       "      <td>...</td>\n",
       "      <td>814195</td>\n",
       "      <td>6346298</td>\n",
       "      <td>25,146,100</td>\n",
       "      <td>2,763,888</td>\n",
       "      <td>625,741</td>\n",
       "      <td>8,001,041</td>\n",
       "      <td>6,724,545</td>\n",
       "      <td>1,853,011</td>\n",
       "      <td>5,687,289</td>\n",
       "      <td>563,767</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Population, percent change - April 1, 2010 (es...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.70%</td>\n",
       "      <td>4.50%</td>\n",
       "      <td>8.40%</td>\n",
       "      <td>2.50%</td>\n",
       "      <td>5.40%</td>\n",
       "      <td>10.20%</td>\n",
       "      <td>0.10%</td>\n",
       "      <td>6.00%</td>\n",
       "      <td>...</td>\n",
       "      <td>0.063</td>\n",
       "      <td>0.048</td>\n",
       "      <td>10.80%</td>\n",
       "      <td>10.40%</td>\n",
       "      <td>-0.20%</td>\n",
       "      <td>5.10%</td>\n",
       "      <td>8.40%</td>\n",
       "      <td>-1.20%</td>\n",
       "      <td>1.60%</td>\n",
       "      <td>3.90%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Population, Census, April 1, 2010</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4,779,736</td>\n",
       "      <td>710,231</td>\n",
       "      <td>6,392,017</td>\n",
       "      <td>2,915,918</td>\n",
       "      <td>37,253,956</td>\n",
       "      <td>5,029,196</td>\n",
       "      <td>3,574,097</td>\n",
       "      <td>897,934</td>\n",
       "      <td>...</td>\n",
       "      <td>814180</td>\n",
       "      <td>6346105</td>\n",
       "      <td>25,145,561</td>\n",
       "      <td>2,763,885</td>\n",
       "      <td>625,741</td>\n",
       "      <td>8,001,024</td>\n",
       "      <td>6,724,540</td>\n",
       "      <td>1,852,994</td>\n",
       "      <td>5,686,986</td>\n",
       "      <td>563,626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Persons under 5 years, percent, July 1, 2016, ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.00%</td>\n",
       "      <td>7.30%</td>\n",
       "      <td>6.30%</td>\n",
       "      <td>6.40%</td>\n",
       "      <td>6.30%</td>\n",
       "      <td>6.10%</td>\n",
       "      <td>5.20%</td>\n",
       "      <td>5.80%</td>\n",
       "      <td>...</td>\n",
       "      <td>0.071</td>\n",
       "      <td>0.061</td>\n",
       "      <td>7.20%</td>\n",
       "      <td>8.30%</td>\n",
       "      <td>4.90%</td>\n",
       "      <td>6.10%</td>\n",
       "      <td>6.20%</td>\n",
       "      <td>5.50%</td>\n",
       "      <td>5.80%</td>\n",
       "      <td>6.50%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 52 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                Fact Fact Note    Alabama  \\\n",
       "0       Population estimates, July 1, 2016,  (V2016)       NaN  4,863,300   \n",
       "1  Population estimates base, April 1, 2010,  (V2...       NaN  4,780,131   \n",
       "2  Population, percent change - April 1, 2010 (es...       NaN      1.70%   \n",
       "3                  Population, Census, April 1, 2010       NaN  4,779,736   \n",
       "4  Persons under 5 years, percent, July 1, 2016, ...       NaN      6.00%   \n",
       "\n",
       "    Alaska    Arizona   Arkansas  California   Colorado Connecticut Delaware  \\\n",
       "0  741,894  6,931,071  2,988,248  39,250,017  5,540,545   3,576,452  952,065   \n",
       "1  710,249  6,392,301  2,916,025  37,254,522  5,029,324   3,574,114  897,936   \n",
       "2    4.50%      8.40%      2.50%       5.40%     10.20%       0.10%    6.00%   \n",
       "3  710,231  6,392,017  2,915,918  37,253,956  5,029,196   3,574,097  897,934   \n",
       "4    7.30%      6.30%      6.40%       6.30%      6.10%       5.20%    5.80%   \n",
       "\n",
       "    ...    South Dakota Tennessee       Texas       Utah  Vermont   Virginia  \\\n",
       "0   ...          865454   6651194  27,862,596  3,051,217  624,594  8,411,808   \n",
       "1   ...          814195   6346298  25,146,100  2,763,888  625,741  8,001,041   \n",
       "2   ...           0.063     0.048      10.80%     10.40%   -0.20%      5.10%   \n",
       "3   ...          814180   6346105  25,145,561  2,763,885  625,741  8,001,024   \n",
       "4   ...           0.071     0.061       7.20%      8.30%    4.90%      6.10%   \n",
       "\n",
       "  Washington West Virginia  Wisconsin  Wyoming  \n",
       "0  7,288,000     1,831,102  5,778,708  585,501  \n",
       "1  6,724,545     1,853,011  5,687,289  563,767  \n",
       "2      8.40%        -1.20%      1.60%    3.90%  \n",
       "3  6,724,540     1,852,994  5,686,986  563,626  \n",
       "4      6.20%         5.50%      5.80%    6.50%  \n",
       "\n",
       "[5 rows x 52 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#run census data\n",
    "census.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>Fact</th>\n",
       "      <th>Fact Note</th>\n",
       "      <th>Alabama</th>\n",
       "      <th>Alaska</th>\n",
       "      <th>Arizona</th>\n",
       "      <th>Arkansas</th>\n",
       "      <th>California</th>\n",
       "      <th>Colorado</th>\n",
       "      <th>Connecticut</th>\n",
       "      <th>Delaware</th>\n",
       "      <th>...</th>\n",
       "      <th>South Dakota</th>\n",
       "      <th>Tennessee</th>\n",
       "      <th>Texas</th>\n",
       "      <th>Utah</th>\n",
       "      <th>Vermont</th>\n",
       "      <th>Virginia</th>\n",
       "      <th>Washington</th>\n",
       "      <th>West Virginia</th>\n",
       "      <th>Wisconsin</th>\n",
       "      <th>Wyoming</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>80</td>\n",
       "      <td>28</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>...</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>80</td>\n",
       "      <td>15</td>\n",
       "      <td>65</td>\n",
       "      <td>64</td>\n",
       "      <td>64</td>\n",
       "      <td>64</td>\n",
       "      <td>63</td>\n",
       "      <td>64</td>\n",
       "      <td>63</td>\n",
       "      <td>64</td>\n",
       "      <td>...</td>\n",
       "      <td>65</td>\n",
       "      <td>64</td>\n",
       "      <td>64</td>\n",
       "      <td>64</td>\n",
       "      <td>63</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>64</td>\n",
       "      <td>65</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>Nonminority-owned firms, 2012</td>\n",
       "      <td>(c)</td>\n",
       "      <td>50,645.33</td>\n",
       "      <td>7.30%</td>\n",
       "      <td>50.30%</td>\n",
       "      <td>50.90%</td>\n",
       "      <td>6.80%</td>\n",
       "      <td>3.30%</td>\n",
       "      <td>0.10%</td>\n",
       "      <td>51.60%</td>\n",
       "      <td>...</td>\n",
       "      <td>75811</td>\n",
       "      <td>0.048</td>\n",
       "      <td>50.40%</td>\n",
       "      <td>2.50%</td>\n",
       "      <td>1.90%</td>\n",
       "      <td>9.10%</td>\n",
       "      <td>7,288,000</td>\n",
       "      <td>1.50%</td>\n",
       "      <td>40,507</td>\n",
       "      <td>7.10%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4 rows × 52 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 Fact Fact Note    Alabama Alaska Arizona  \\\n",
       "count                              80        28         65     65      65   \n",
       "unique                             80        15         65     64      64   \n",
       "top     Nonminority-owned firms, 2012       (c)  50,645.33  7.30%  50.30%   \n",
       "freq                                1         6          1      2       2   \n",
       "\n",
       "       Arkansas California Colorado Connecticut Delaware   ...   South Dakota  \\\n",
       "count        65         65       65          65       65   ...             65   \n",
       "unique       64         63       64          63       64   ...             65   \n",
       "top      50.90%      6.80%    3.30%       0.10%   51.60%   ...          75811   \n",
       "freq          2          2        2           2        2   ...              1   \n",
       "\n",
       "       Tennessee   Texas   Utah Vermont Virginia Washington West Virginia  \\\n",
       "count         65      65     65      65       65         65            65   \n",
       "unique        64      64     64      63       65         65            64   \n",
       "top        0.048  50.40%  2.50%   1.90%    9.10%  7,288,000         1.50%   \n",
       "freq           2       2      2       2        1          1             2   \n",
       "\n",
       "       Wisconsin Wyoming  \n",
       "count         65      65  \n",
       "unique        65      64  \n",
       "top       40,507   7.10%  \n",
       "freq           1       2  \n",
       "\n",
       "[4 rows x 52 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "census.describe()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='Cleaning'></a>\n",
    "## Data Cleaning\n",
    "Gun datasets:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>month</th>\n",
       "      <th>state</th>\n",
       "      <th>permit</th>\n",
       "      <th>permit_recheck</th>\n",
       "      <th>handgun</th>\n",
       "      <th>long_gun</th>\n",
       "      <th>other</th>\n",
       "      <th>multiple</th>\n",
       "      <th>admin</th>\n",
       "      <th>prepawn_handgun</th>\n",
       "      <th>...</th>\n",
       "      <th>returned_other</th>\n",
       "      <th>rentals_handgun</th>\n",
       "      <th>rentals_long_gun</th>\n",
       "      <th>private_sale_handgun</th>\n",
       "      <th>private_sale_long_gun</th>\n",
       "      <th>private_sale_other</th>\n",
       "      <th>return_to_seller_handgun</th>\n",
       "      <th>return_to_seller_long_gun</th>\n",
       "      <th>return_to_seller_other</th>\n",
       "      <th>totals</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2017-09</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>16717.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5734.0</td>\n",
       "      <td>6320.0</td>\n",
       "      <td>221.0</td>\n",
       "      <td>317</td>\n",
       "      <td>0.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>32019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2017-09</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>209.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2320.0</td>\n",
       "      <td>2930.0</td>\n",
       "      <td>219.0</td>\n",
       "      <td>160</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6303</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2017-09</td>\n",
       "      <td>Arizona</td>\n",
       "      <td>5069.0</td>\n",
       "      <td>382.0</td>\n",
       "      <td>11063.0</td>\n",
       "      <td>7946.0</td>\n",
       "      <td>920.0</td>\n",
       "      <td>631</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>28394</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2017-09</td>\n",
       "      <td>Arkansas</td>\n",
       "      <td>2935.0</td>\n",
       "      <td>632.0</td>\n",
       "      <td>4347.0</td>\n",
       "      <td>6063.0</td>\n",
       "      <td>165.0</td>\n",
       "      <td>366</td>\n",
       "      <td>51.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>17747</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2017-09</td>\n",
       "      <td>California</td>\n",
       "      <td>57839.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>37165.0</td>\n",
       "      <td>24581.0</td>\n",
       "      <td>2984.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>123506</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 27 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     month       state   permit  permit_recheck  handgun  long_gun   other  \\\n",
       "0  2017-09     Alabama  16717.0             0.0   5734.0    6320.0   221.0   \n",
       "1  2017-09      Alaska    209.0             2.0   2320.0    2930.0   219.0   \n",
       "2  2017-09     Arizona   5069.0           382.0  11063.0    7946.0   920.0   \n",
       "3  2017-09    Arkansas   2935.0           632.0   4347.0    6063.0   165.0   \n",
       "4  2017-09  California  57839.0             0.0  37165.0   24581.0  2984.0   \n",
       "\n",
       "   multiple  admin  prepawn_handgun   ...    returned_other  rentals_handgun  \\\n",
       "0       317    0.0             15.0   ...               0.0              0.0   \n",
       "1       160    0.0              5.0   ...               0.0              0.0   \n",
       "2       631    0.0             13.0   ...               0.0              0.0   \n",
       "3       366   51.0             12.0   ...               0.0              0.0   \n",
       "4         0    0.0              0.0   ...               0.0              0.0   \n",
       "\n",
       "   rentals_long_gun  private_sale_handgun  private_sale_long_gun  \\\n",
       "0               0.0                   9.0                   16.0   \n",
       "1               0.0                  17.0                   24.0   \n",
       "2               0.0                  38.0                   12.0   \n",
       "3               0.0                  13.0                   23.0   \n",
       "4               0.0                   0.0                    0.0   \n",
       "\n",
       "   private_sale_other  return_to_seller_handgun  return_to_seller_long_gun  \\\n",
       "0                 3.0                       0.0                        0.0   \n",
       "1                 1.0                       0.0                        0.0   \n",
       "2                 2.0                       0.0                        0.0   \n",
       "3                 0.0                       0.0                        2.0   \n",
       "4                 0.0                       0.0                        0.0   \n",
       "\n",
       "   return_to_seller_other  totals  \n",
       "0                     3.0   32019  \n",
       "1                     0.0    6303  \n",
       "2                     0.0   28394  \n",
       "3                     1.0   17747  \n",
       "4                     0.0  123506  \n",
       "\n",
       "[5 rows x 27 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gun.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "month                         object\n",
       "state                         object\n",
       "permit                       float64\n",
       "permit_recheck               float64\n",
       "handgun                      float64\n",
       "long_gun                     float64\n",
       "other                        float64\n",
       "multiple                       int64\n",
       "admin                        float64\n",
       "prepawn_handgun              float64\n",
       "prepawn_long_gun             float64\n",
       "prepawn_other                float64\n",
       "redemption_handgun           float64\n",
       "redemption_long_gun          float64\n",
       "redemption_other             float64\n",
       "returned_handgun             float64\n",
       "returned_long_gun            float64\n",
       "returned_other               float64\n",
       "rentals_handgun              float64\n",
       "rentals_long_gun             float64\n",
       "private_sale_handgun         float64\n",
       "private_sale_long_gun        float64\n",
       "private_sale_other           float64\n",
       "return_to_seller_handgun     float64\n",
       "return_to_seller_long_gun    float64\n",
       "return_to_seller_other       float64\n",
       "totals                         int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gun.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "month                        12485\n",
       "state                        12485\n",
       "permit                       12461\n",
       "permit_recheck                1100\n",
       "handgun                      12465\n",
       "long_gun                     12466\n",
       "other                         5500\n",
       "multiple                     12485\n",
       "admin                        12462\n",
       "prepawn_handgun              10542\n",
       "prepawn_long_gun             10540\n",
       "prepawn_other                 5115\n",
       "redemption_handgun           10545\n",
       "redemption_long_gun          10544\n",
       "redemption_other              5115\n",
       "returned_handgun              2200\n",
       "returned_long_gun             2145\n",
       "returned_other                1815\n",
       "rentals_handgun                990\n",
       "rentals_long_gun               825\n",
       "private_sale_handgun          2750\n",
       "private_sale_long_gun         2750\n",
       "private_sale_other            2750\n",
       "return_to_seller_handgun      2475\n",
       "return_to_seller_long_gun     2750\n",
       "return_to_seller_other        2255\n",
       "totals                       12485\n",
       "dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gun.count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "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>Fact</th>\n",
       "      <th>Fact Note</th>\n",
       "      <th>Alabama</th>\n",
       "      <th>Alaska</th>\n",
       "      <th>Arizona</th>\n",
       "      <th>Arkansas</th>\n",
       "      <th>California</th>\n",
       "      <th>Colorado</th>\n",
       "      <th>Connecticut</th>\n",
       "      <th>Delaware</th>\n",
       "      <th>...</th>\n",
       "      <th>South Dakota</th>\n",
       "      <th>Tennessee</th>\n",
       "      <th>Texas</th>\n",
       "      <th>Utah</th>\n",
       "      <th>Vermont</th>\n",
       "      <th>Virginia</th>\n",
       "      <th>Washington</th>\n",
       "      <th>West Virginia</th>\n",
       "      <th>Wisconsin</th>\n",
       "      <th>Wyoming</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Population estimates, July 1, 2016,  (V2016)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4,863,300</td>\n",
       "      <td>741,894</td>\n",
       "      <td>6,931,071</td>\n",
       "      <td>2,988,248</td>\n",
       "      <td>39,250,017</td>\n",
       "      <td>5,540,545</td>\n",
       "      <td>3,576,452</td>\n",
       "      <td>952,065</td>\n",
       "      <td>...</td>\n",
       "      <td>865454</td>\n",
       "      <td>6651194</td>\n",
       "      <td>27,862,596</td>\n",
       "      <td>3,051,217</td>\n",
       "      <td>624,594</td>\n",
       "      <td>8,411,808</td>\n",
       "      <td>7,288,000</td>\n",
       "      <td>1,831,102</td>\n",
       "      <td>5,778,708</td>\n",
       "      <td>585,501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Population estimates base, April 1, 2010,  (V2...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4,780,131</td>\n",
       "      <td>710,249</td>\n",
       "      <td>6,392,301</td>\n",
       "      <td>2,916,025</td>\n",
       "      <td>37,254,522</td>\n",
       "      <td>5,029,324</td>\n",
       "      <td>3,574,114</td>\n",
       "      <td>897,936</td>\n",
       "      <td>...</td>\n",
       "      <td>814195</td>\n",
       "      <td>6346298</td>\n",
       "      <td>25,146,100</td>\n",
       "      <td>2,763,888</td>\n",
       "      <td>625,741</td>\n",
       "      <td>8,001,041</td>\n",
       "      <td>6,724,545</td>\n",
       "      <td>1,853,011</td>\n",
       "      <td>5,687,289</td>\n",
       "      <td>563,767</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Population, percent change - April 1, 2010 (es...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.70%</td>\n",
       "      <td>4.50%</td>\n",
       "      <td>8.40%</td>\n",
       "      <td>2.50%</td>\n",
       "      <td>5.40%</td>\n",
       "      <td>10.20%</td>\n",
       "      <td>0.10%</td>\n",
       "      <td>6.00%</td>\n",
       "      <td>...</td>\n",
       "      <td>0.063</td>\n",
       "      <td>0.048</td>\n",
       "      <td>10.80%</td>\n",
       "      <td>10.40%</td>\n",
       "      <td>-0.20%</td>\n",
       "      <td>5.10%</td>\n",
       "      <td>8.40%</td>\n",
       "      <td>-1.20%</td>\n",
       "      <td>1.60%</td>\n",
       "      <td>3.90%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Population, Census, April 1, 2010</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4,779,736</td>\n",
       "      <td>710,231</td>\n",
       "      <td>6,392,017</td>\n",
       "      <td>2,915,918</td>\n",
       "      <td>37,253,956</td>\n",
       "      <td>5,029,196</td>\n",
       "      <td>3,574,097</td>\n",
       "      <td>897,934</td>\n",
       "      <td>...</td>\n",
       "      <td>814180</td>\n",
       "      <td>6346105</td>\n",
       "      <td>25,145,561</td>\n",
       "      <td>2,763,885</td>\n",
       "      <td>625,741</td>\n",
       "      <td>8,001,024</td>\n",
       "      <td>6,724,540</td>\n",
       "      <td>1,852,994</td>\n",
       "      <td>5,686,986</td>\n",
       "      <td>563,626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Persons under 5 years, percent, July 1, 2016, ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.00%</td>\n",
       "      <td>7.30%</td>\n",
       "      <td>6.30%</td>\n",
       "      <td>6.40%</td>\n",
       "      <td>6.30%</td>\n",
       "      <td>6.10%</td>\n",
       "      <td>5.20%</td>\n",
       "      <td>5.80%</td>\n",
       "      <td>...</td>\n",
       "      <td>0.071</td>\n",
       "      <td>0.061</td>\n",
       "      <td>7.20%</td>\n",
       "      <td>8.30%</td>\n",
       "      <td>4.90%</td>\n",
       "      <td>6.10%</td>\n",
       "      <td>6.20%</td>\n",
       "      <td>5.50%</td>\n",
       "      <td>5.80%</td>\n",
       "      <td>6.50%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 52 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                Fact Fact Note    Alabama  \\\n",
       "0       Population estimates, July 1, 2016,  (V2016)       NaN  4,863,300   \n",
       "1  Population estimates base, April 1, 2010,  (V2...       NaN  4,780,131   \n",
       "2  Population, percent change - April 1, 2010 (es...       NaN      1.70%   \n",
       "3                  Population, Census, April 1, 2010       NaN  4,779,736   \n",
       "4  Persons under 5 years, percent, July 1, 2016, ...       NaN      6.00%   \n",
       "\n",
       "    Alaska    Arizona   Arkansas  California   Colorado Connecticut Delaware  \\\n",
       "0  741,894  6,931,071  2,988,248  39,250,017  5,540,545   3,576,452  952,065   \n",
       "1  710,249  6,392,301  2,916,025  37,254,522  5,029,324   3,574,114  897,936   \n",
       "2    4.50%      8.40%      2.50%       5.40%     10.20%       0.10%    6.00%   \n",
       "3  710,231  6,392,017  2,915,918  37,253,956  5,029,196   3,574,097  897,934   \n",
       "4    7.30%      6.30%      6.40%       6.30%      6.10%       5.20%    5.80%   \n",
       "\n",
       "    ...    South Dakota Tennessee       Texas       Utah  Vermont   Virginia  \\\n",
       "0   ...          865454   6651194  27,862,596  3,051,217  624,594  8,411,808   \n",
       "1   ...          814195   6346298  25,146,100  2,763,888  625,741  8,001,041   \n",
       "2   ...           0.063     0.048      10.80%     10.40%   -0.20%      5.10%   \n",
       "3   ...          814180   6346105  25,145,561  2,763,885  625,741  8,001,024   \n",
       "4   ...           0.071     0.061       7.20%      8.30%    4.90%      6.10%   \n",
       "\n",
       "  Washington West Virginia  Wisconsin  Wyoming  \n",
       "0  7,288,000     1,831,102  5,778,708  585,501  \n",
       "1  6,724,545     1,853,011  5,687,289  563,767  \n",
       "2      8.40%        -1.20%      1.60%    3.90%  \n",
       "3  6,724,540     1,852,994  5,686,986  563,626  \n",
       "4      6.20%         5.50%      5.80%    6.50%  \n",
       "\n",
       "[5 rows x 52 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "census.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "month                        False\n",
       "state                        False\n",
       "permit                       False\n",
       "permit_recheck               False\n",
       "handgun                      False\n",
       "long_gun                     False\n",
       "other                        False\n",
       "multiple                     False\n",
       "admin                        False\n",
       "prepawn_handgun              False\n",
       "prepawn_long_gun             False\n",
       "prepawn_other                False\n",
       "redemption_handgun           False\n",
       "redemption_long_gun          False\n",
       "redemption_other             False\n",
       "returned_handgun             False\n",
       "returned_long_gun            False\n",
       "returned_other               False\n",
       "rentals_handgun              False\n",
       "rentals_long_gun             False\n",
       "private_sale_handgun         False\n",
       "private_sale_long_gun        False\n",
       "private_sale_other           False\n",
       "return_to_seller_handgun     False\n",
       "return_to_seller_long_gun    False\n",
       "return_to_seller_other       False\n",
       "totals                       False\n",
       "dtype: bool"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Replacing the NaN results as \"No Records\"\n",
    "gun.fillna('No record', inplace = True)\n",
    "gun.isnull().any()\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Fact              object\n",
       "Fact Note         object\n",
       "Alabama           object\n",
       "Alaska            object\n",
       "Arizona           object\n",
       "Arkansas          object\n",
       "California        object\n",
       "Colorado          object\n",
       "Connecticut       object\n",
       "Delaware          object\n",
       "Florida           object\n",
       "Georgia           object\n",
       "Hawaii            object\n",
       "Idaho             object\n",
       "Illinois          object\n",
       "Indiana           object\n",
       "Iowa              object\n",
       "Kansas            object\n",
       "Kentucky          object\n",
       "Louisiana         object\n",
       "Maine             object\n",
       "Maryland          object\n",
       "Massachusetts     object\n",
       "Michigan          object\n",
       "Minnesota         object\n",
       "Mississippi       object\n",
       "Missouri          object\n",
       "Montana           object\n",
       "Nebraska          object\n",
       "Nevada            object\n",
       "New Hampshire     object\n",
       "New Jersey        object\n",
       "New Mexico        object\n",
       "New York          object\n",
       "North Carolina    object\n",
       "North Dakota      object\n",
       "Ohio              object\n",
       "Oklahoma          object\n",
       "Oregon            object\n",
       "Pennsylvania      object\n",
       "Rhode Island      object\n",
       "South Carolina    object\n",
       "South Dakota      object\n",
       "Tennessee         object\n",
       "Texas             object\n",
       "Utah              object\n",
       "Vermont           object\n",
       "Virginia          object\n",
       "Washington        object\n",
       "West Virginia     object\n",
       "Wisconsin         object\n",
       "Wyoming           object\n",
       "dtype: object"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "census.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Fact', 'Fact Note', 'Alabama', 'Alaska', 'Arizona', 'Arkansas',\n",
       "       'California', 'Colorado', 'Connecticut', 'Delaware', 'Florida',\n",
       "       'Georgia', 'Hawaii', 'Idaho', 'Illinois', 'Indiana', 'Iowa', 'Kansas',\n",
       "       'Kentucky', 'Louisiana', 'Maine', 'Maryland', 'Massachusetts',\n",
       "       'Michigan', 'Minnesota', 'Mississippi', 'Missouri', 'Montana',\n",
       "       'Nebraska', 'Nevada', 'New Hampshire', 'New Jersey', 'New Mexico',\n",
       "       'New York', 'North Carolina', 'North Dakota', 'Ohio', 'Oklahoma',\n",
       "       'Oregon', 'Pennsylvania', 'Rhode Island', 'South Carolina',\n",
       "       'South Dakota', 'Tennessee', 'Texas', 'Utah', 'Vermont', 'Virginia',\n",
       "       'Washington', 'West Virginia', 'Wisconsin', 'Wyoming'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "index_census_state = census.iloc[0].index\n",
    "index_census_state"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Alabama', 'Alaska', 'Arizona', 'Arkansas', 'California', 'Colorado',\n",
       "       'Connecticut', 'Delaware', 'Florida', 'Georgia', 'Hawaii', 'Idaho',\n",
       "       'Illinois', 'Indiana', 'Iowa', 'Kansas', 'Kentucky', 'Louisiana',\n",
       "       'Maine', 'Maryland', 'Massachusetts', 'Michigan', 'Minnesota',\n",
       "       'Mississippi', 'Missouri', 'Montana', 'Nebraska', 'Nevada',\n",
       "       'New Hampshire', 'New Jersey', 'New Mexico', 'New York',\n",
       "       'North Carolina', 'North Dakota', 'Ohio', 'Oklahoma', 'Oregon',\n",
       "       'Pennsylvania', 'Rhode Island', 'South Carolina', 'South Dakota',\n",
       "       'Tennessee', 'Texas', 'Utah', 'Vermont', 'Virginia', 'Washington',\n",
       "       'West Virginia', 'Wisconsin', 'Wyoming'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#As per the previous- using index 2 to remove fact and fact note.\n",
    "index_census_state = index_census_state[2:]\n",
    "index_census_state"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "50"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Number of states \n",
    "len(index_census_state)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Alabama', 'Alaska', 'Arizona', 'Arkansas', 'California', 'Colorado',\n",
       "       'Connecticut', 'Delaware', 'District of Columbia', 'Florida', 'Georgia',\n",
       "       'Guam', 'Hawaii', 'Idaho', 'Illinois', 'Indiana', 'Iowa', 'Kansas',\n",
       "       'Kentucky', 'Louisiana', 'Maine', 'Mariana Islands', 'Maryland',\n",
       "       'Massachusetts', 'Michigan', 'Minnesota', 'Mississippi', 'Missouri',\n",
       "       'Montana', 'Nebraska', 'Nevada', 'New Hampshire', 'New Jersey',\n",
       "       'New Mexico', 'New York', 'North Carolina', 'North Dakota', 'Ohio',\n",
       "       'Oklahoma', 'Oregon', 'Pennsylvania', 'Puerto Rico', 'Rhode Island',\n",
       "       'South Carolina', 'South Dakota', 'Tennessee', 'Texas', 'Utah',\n",
       "       'Vermont', 'Virgin Islands', 'Virginia', 'Washington', 'West Virginia',\n",
       "       'Wisconsin', 'Wyoming'],\n",
       "      dtype='object', name='state')"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#List the number of states \n",
    "index_gun_state = gun.groupby('state').sum().index\n",
    "index_gun_state"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "55"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(index_gun_state) #Number of states have changed from 50 to 55"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "District of Columbia\n",
      "Guam\n",
      "Mariana Islands\n",
      "Puerto Rico\n",
      "Virgin Islands\n"
     ]
    }
   ],
   "source": [
    "#To identify why the number of states had changed from 50 to 55\n",
    "for state in index_gun_state:\n",
    "    if state not in index_census_state:\n",
    "        print(state)\n",
    "             \n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([2017, 2016, 2015, 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007,\n",
       "       2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998])"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Extracting the Year and months column which wil print off an array \n",
    "gun['year']=gun['month'].apply(lambda x: x.split(\"-\")[0]).astype(int)\n",
    "gun['year'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 9,  8,  7,  6,  5,  4,  3,  2,  1, 12, 11, 10])"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#\n",
    "gun['months'] = gun['month'].apply(lambda x: x.split(\"-\")[1]).astype(int)\n",
    "gun['months'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "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>month</th>\n",
       "      <th>state</th>\n",
       "      <th>permit</th>\n",
       "      <th>permit_recheck</th>\n",
       "      <th>handgun</th>\n",
       "      <th>long_gun</th>\n",
       "      <th>other</th>\n",
       "      <th>multiple</th>\n",
       "      <th>admin</th>\n",
       "      <th>prepawn_handgun</th>\n",
       "      <th>...</th>\n",
       "      <th>rentals_long_gun</th>\n",
       "      <th>private_sale_handgun</th>\n",
       "      <th>private_sale_long_gun</th>\n",
       "      <th>private_sale_other</th>\n",
       "      <th>return_to_seller_handgun</th>\n",
       "      <th>return_to_seller_long_gun</th>\n",
       "      <th>return_to_seller_other</th>\n",
       "      <th>totals</th>\n",
       "      <th>year</th>\n",
       "      <th>months</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2017-09</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>16717</td>\n",
       "      <td>0</td>\n",
       "      <td>5734</td>\n",
       "      <td>6320</td>\n",
       "      <td>221</td>\n",
       "      <td>317</td>\n",
       "      <td>0</td>\n",
       "      <td>15</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>16</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>32019</td>\n",
       "      <td>2017</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2017-09</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>209</td>\n",
       "      <td>2</td>\n",
       "      <td>2320</td>\n",
       "      <td>2930</td>\n",
       "      <td>219</td>\n",
       "      <td>160</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6303</td>\n",
       "      <td>2017</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2017-09</td>\n",
       "      <td>Arizona</td>\n",
       "      <td>5069</td>\n",
       "      <td>382</td>\n",
       "      <td>11063</td>\n",
       "      <td>7946</td>\n",
       "      <td>920</td>\n",
       "      <td>631</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>12</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>28394</td>\n",
       "      <td>2017</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2017-09</td>\n",
       "      <td>Arkansas</td>\n",
       "      <td>2935</td>\n",
       "      <td>632</td>\n",
       "      <td>4347</td>\n",
       "      <td>6063</td>\n",
       "      <td>165</td>\n",
       "      <td>366</td>\n",
       "      <td>51</td>\n",
       "      <td>12</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>23</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>17747</td>\n",
       "      <td>2017</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2017-09</td>\n",
       "      <td>California</td>\n",
       "      <td>57839</td>\n",
       "      <td>0</td>\n",
       "      <td>37165</td>\n",
       "      <td>24581</td>\n",
       "      <td>2984</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>123506</td>\n",
       "      <td>2017</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2017-09</td>\n",
       "      <td>Colorado</td>\n",
       "      <td>4356</td>\n",
       "      <td>0</td>\n",
       "      <td>15751</td>\n",
       "      <td>13448</td>\n",
       "      <td>1007</td>\n",
       "      <td>1062</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>35873</td>\n",
       "      <td>2017</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2017-09</td>\n",
       "      <td>Connecticut</td>\n",
       "      <td>4343</td>\n",
       "      <td>673</td>\n",
       "      <td>4834</td>\n",
       "      <td>1993</td>\n",
       "      <td>274</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>12117</td>\n",
       "      <td>2017</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2017-09</td>\n",
       "      <td>Delaware</td>\n",
       "      <td>275</td>\n",
       "      <td>0</td>\n",
       "      <td>1414</td>\n",
       "      <td>1538</td>\n",
       "      <td>66</td>\n",
       "      <td>68</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>55</td>\n",
       "      <td>34</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>3502</td>\n",
       "      <td>2017</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2017-09</td>\n",
       "      <td>District of Columbia</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>56</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>61</td>\n",
       "      <td>2017</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9 rows × 29 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     month                 state permit permit_recheck handgun long_gun other  \\\n",
       "0  2017-09               Alabama  16717              0    5734     6320   221   \n",
       "1  2017-09                Alaska    209              2    2320     2930   219   \n",
       "2  2017-09               Arizona   5069            382   11063     7946   920   \n",
       "3  2017-09              Arkansas   2935            632    4347     6063   165   \n",
       "4  2017-09            California  57839              0   37165    24581  2984   \n",
       "5  2017-09              Colorado   4356              0   15751    13448  1007   \n",
       "6  2017-09           Connecticut   4343            673    4834     1993   274   \n",
       "7  2017-09              Delaware    275              0    1414     1538    66   \n",
       "8  2017-09  District of Columbia      1              0      56        4     0   \n",
       "\n",
       "   multiple admin prepawn_handgun  ...   rentals_long_gun  \\\n",
       "0       317     0              15  ...                  0   \n",
       "1       160     0               5  ...                  0   \n",
       "2       631     0              13  ...                  0   \n",
       "3       366    51              12  ...                  0   \n",
       "4         0     0               0  ...                  0   \n",
       "5      1062     0               0  ...                  0   \n",
       "6         0     0               0  ...                  0   \n",
       "7        68     0               0  ...                  0   \n",
       "8         0     0               0  ...                  0   \n",
       "\n",
       "  private_sale_handgun private_sale_long_gun private_sale_other  \\\n",
       "0                    9                    16                  3   \n",
       "1                   17                    24                  1   \n",
       "2                   38                    12                  2   \n",
       "3                   13                    23                  0   \n",
       "4                    0                     0                  0   \n",
       "5                    0                     0                  0   \n",
       "6                    0                     0                  0   \n",
       "7                   55                    34                  3   \n",
       "8                    0                     0                  0   \n",
       "\n",
       "  return_to_seller_handgun return_to_seller_long_gun return_to_seller_other  \\\n",
       "0                        0                         0                      3   \n",
       "1                        0                         0                      0   \n",
       "2                        0                         0                      0   \n",
       "3                        0                         2                      1   \n",
       "4                        0                         0                      0   \n",
       "5                        0                         0                      0   \n",
       "6                        0                         0                      0   \n",
       "7                        1                         2                      0   \n",
       "8                        0                         0                      0   \n",
       "\n",
       "   totals  year months  \n",
       "0   32019  2017      9  \n",
       "1    6303  2017      9  \n",
       "2   28394  2017      9  \n",
       "3   17747  2017      9  \n",
       "4  123506  2017      9  \n",
       "5   35873  2017      9  \n",
       "6   12117  2017      9  \n",
       "7    3502  2017      9  \n",
       "8      61  2017      9  \n",
       "\n",
       "[9 rows x 29 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#check the gun\n",
    "gun.head(9)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Assig n column names to the list\n",
    "cols = ['permit', 'permit_recheck', 'handgun','long_gun','other','admin','prepawn_handgun','prepawn_long_gun',            \n",
    "'prepawn_other','redemption_handgun', 'redemption_long_gun','redemption_other','returned_handgun','returned_long_gun' ,          \n",
    "'returned_other','rentals_handgun', 'rentals_long_gun', 'private_sale_handgun' , 'private_sale_long_gun',        \n",
    "'private_sale_other', 'return_to_seller_handgun',  'return_to_seller_long_gun','return_to_seller_other']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 12485 entries, 0 to 12484\n",
      "Data columns (total 29 columns):\n",
      "month                        12485 non-null object\n",
      "state                        12485 non-null object\n",
      "permit                       12485 non-null object\n",
      "permit_recheck               12485 non-null object\n",
      "handgun                      12485 non-null object\n",
      "long_gun                     12485 non-null object\n",
      "other                        12485 non-null object\n",
      "multiple                     12485 non-null int64\n",
      "admin                        12485 non-null object\n",
      "prepawn_handgun              12485 non-null object\n",
      "prepawn_long_gun             12485 non-null object\n",
      "prepawn_other                12485 non-null object\n",
      "redemption_handgun           12485 non-null object\n",
      "redemption_long_gun          12485 non-null object\n",
      "redemption_other             12485 non-null object\n",
      "returned_handgun             12485 non-null object\n",
      "returned_long_gun            12485 non-null object\n",
      "returned_other               12485 non-null object\n",
      "rentals_handgun              12485 non-null object\n",
      "rentals_long_gun             12485 non-null object\n",
      "private_sale_handgun         12485 non-null object\n",
      "private_sale_long_gun        12485 non-null object\n",
      "private_sale_other           12485 non-null object\n",
      "return_to_seller_handgun     12485 non-null object\n",
      "return_to_seller_long_gun    12485 non-null object\n",
      "return_to_seller_other       12485 non-null object\n",
      "totals                       12485 non-null int64\n",
      "year                         12485 non-null int64\n",
      "months                       12485 non-null int64\n",
      "dtypes: int64(4), object(25)\n",
      "memory usage: 2.8+ MB\n"
     ]
    }
   ],
   "source": [
    "gun.info() "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='Exploratory Data Analysis'></a>\n",
    "## Exploartory Data Analysis\n",
    "\n",
    "Research Question 1 : What census data is most associated with high gun per capita?\n",
    "\n",
    "Research Questinon 2: Which states have had the highest growth in gun registrations?\n",
    "\n",
    "Research Question 3: What is the overall trend of gun purchases?\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='Q1'></a>\n",
    "## Research Question 1 : What census data is most associated with high gun per capita?\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "#group by state and gun \n",
    "gun_state = gun.groupby('state')\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "#sum the total guns in state\n",
    "gun_state_sum = gun_state.sum()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "#gun state total\n",
    "gun_state_total = gun_state_sum['totals'] \n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "state\n",
       "Alabama        6706079\n",
       "Alaska         1137643\n",
       "Arizona        4425714\n",
       "Arkansas       3752633\n",
       "California    19014063\n",
       "Name: totals, dtype: int64"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#gun total by state\n",
    "gun_state_total.head()\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,0,'')"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f8e9c85cd30>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# sum total increasing by month from Nov 1998 to Sept 2017 \n",
    "totals = gun.groupby(\"month\")[\"totals\"].sum()\n",
    "\n",
    "tick_placement = pd.np.arange(2, len(totals), 12)\n",
    "plt.style.use('seaborn')\n",
    "ax = totals.plot(kind='bar',figsize=(25,10))\n",
    "ax.set_title(\"Firearm Background Checks Per Capita from November 1998 to September 2017\", fontsize=30)\n",
    "ax.set_yticklabels([ \"{0:,.0f}\".format(y) for y in ax.get_yticks() ], fontsize=14);\n",
    "plt.setp(ax.get_xticklabels(), rotation=0, fontsize=14)\n",
    "ax.set_xticks(tick_placement)\n",
    "ax.set_xticklabels([ totals.index[i].split(\"-\")[0] for i in tick_placement ])\n",
    "ax.set_xlim(0, len(totals) - 1)\n",
    "ax.set_xlabel(\"\")\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,0,'')"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f8e95aadb70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Check the total of each state by month and the group by and sum\n",
    "checks_by_state = gun.groupby(['state', 'month'])['totals'].sum().reset_index()\n",
    "state_totals = checks_by_state.groupby('state')['totals'].sum()\n",
    "state_total_tick_placement = pd.np.arange(len(state_totals))\n",
    "plt.style.use('seaborn')\n",
    "state_ax = state_totals.plot(kind='bar',figsize=(25,10))\n",
    "state_ax.set_title(\"Firearm Background Check Totals Per Capita (1998-2017)\", fontsize=30)\n",
    "state_ax.set_yticklabels([ \"{0:,.1f}\".format(y) for y in state_ax.get_yticks() ], fontsize=14);\n",
    "plt.setp(state_ax.get_xticklabels(), fontsize=12)\n",
    "state_ax.set_xticks(state_total_tick_placement)\n",
    "state_ax.set_xticklabels(state_totals.index)\n",
    "state_ax.set_xlim(0, len(state_totals) - 1)\n",
    "state_ax.set_xlabel(\"\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='ResearchQ2'></a>\n",
    "## Research Question 2: Which states have had the highest growth in gun registrations?\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "#group by state \n",
    "gun_alltime = gun.groupby(['month', 'state'])['totals'].sum()\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "#check registration date\n",
    "cur_date = gun['month'].max()\n",
    "year_date = gun['month'].min()\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Kentucky'"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# The amount of registed guns \n",
    "gun_grow_tot = gun_alltime.loc[cur_date] - gun_alltime.loc[year_date]\n",
    "gun_grow_tot.idxmax()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "397866"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#The total amount in Kentucky\n",
    "gun_grow_tot.loc['Kentucky']\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='ReasearchQ3'></a>\n",
    "## Research Question 3: What is the overall trend of gun purchases?\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,0,'')"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f8e9d103978>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# sum total increasing by month from Nov 1998 to Sept 2017 \n",
    "totals = gun.groupby(\"month\")[\"totals\"].sum()\n",
    "tick_placement = pd.np.arange(2, len(totals), 12)\n",
    "plt.style.use('seaborn')\n",
    "ax = totals.plot(kind='bar',figsize=(25,10))\n",
    "ax.set_title(\"Firearm Background Checks Per Capita from November 1998 to September 2017\", fontsize=30)\n",
    "ax.set_yticklabels([ \"{0:,.0f}\".format(y) for y in ax.get_yticks() ], fontsize=14);\n",
    "plt.setp(ax.get_xticklabels(), rotation=0, fontsize=14)\n",
    "ax.set_xticks(tick_placement)\n",
    "ax.set_xticklabels([ totals.index[i].split(\"-\")[0] for i in tick_placement ])\n",
    "ax.set_xlim(0, len(totals) - 1)\n",
    "ax.set_xlabel(\"\")\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f8e9c72a9e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#The increasing number of registered guns in each state. With Kentucky with the most registered number of guns and increasing. \n",
    "plt.subplots(figsize=(20,20))\n",
    "plt.xticks(rotation=60);\n",
    "plt.title('Total Number of Registered Guns per State')\n",
    "sns.swarmplot(x='state', y='totals', data=gun);\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "<a id='conclusions'></a>\n",
    "## Findings \n",
    "\n",
    "1. The dataset was from November 1998 through to September 2017 found that Kentucky has had the most activity in background checks for guns since Novmeber 1998 righ through to September 2017.\n",
    "2. Through analysis, the state of kentucky had the highest growth in gun registration. The total registed number of guns was 397866.\n",
    "3. As per the swarm plot diagram above, you can see that the sum of registered guns in each state with Kentucky with the increasing amount of registered guns. \n",
    "4. As per the last swarm plot diagram, you can see the increasing number of registered guns in each state. With Kentucky with the most registered number of guns and increasing. \n",
    "5. Kentucky, Califronia and Texas had the most registered guns per capita. \n",
    "\n",
    "\n",
    "\n",
    "## Conclusion\n",
    "\n",
    "    In this project,the gun dataset that was supplied had data from the time period of 1998-2017. According to Wikipedia, Gun laws in Kentucky are the least restrictive and the state doesn't require a permit in order to purchase a firearm. When looking at question 1: What census data is most associated with high gun per capita? 378384 of permits were from Kentucy in 2017.The total registred number of guns in Kentucky at 397866. The project data analysis gave me an insight of data trends of registered guns in United States of America. \n",
    "  \n",
    "  \n",
    "## Limiations\n",
    "\n",
    "There were some limitations in this study, due to figuring out the calculating the total number of gun purchasing sales\n",
    "in this project. However, there is an increase over time of you can see the data trends from November 1998 through to September 2017 with Firearm Background Checks Per Capita from November 1998 to September 2017. According to the Guardian (2017) only one in five Americans obtain guns without background checks. \n",
    "\n",
    "According to NICS statistics (2018) showed there were 25,235,215 background checks in 2017. Since 1998, there have been more than 230 million background checks, leading to more than 1.3 million denials.\n",
    "\n",
    "\n",
    "## References\n",
    "\n",
    "\n",
    "- Investigate a Dataset - Data Set Options: https://video.udacity-data.com/topher/2018/July/5b57919a_data-set-options/data-set-options.pdf\n",
    "- GitHub support - https://github.com/Alicelibinguo/Investigate-FBI-Gun-Data\n",
    "- Stackoverflow help - https://stackoverflow.com/questions/42406233/how-to-add-title-to-seaborn-boxplot\n",
    "- Adding Title - https://python-graph-gallery.com/4-add-title-and-axis-label/\n",
    "- Just one in five Americans obtains gun without background check, survey finds:  https://www.theguardian.com/us-news/2017/jan/02/guns-state-background-checks-study\n",
    "- FBI Gun Data(2018) https://github.com/leicao-me/data-analysis-on-FBI-GUN-DATA\n",
    "- Wikipeda Permits: https://en.wikipedia.org/wiki/Gun_laws_in_Kentucky \n",
    "- https://github.com/BuzzFeedNews/nics-firearm-background-checks/blob/master/README.md\n",
    "- How Many Guns Were Sold In The US In 2017 And 2018?https://www.ibtimes.com/how-many-guns-were-sold-us-2017-2018-2731175\n",
    "\n",
    "\n"
   ]
  }
 ],
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