Mass Shootings.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "1b7fa7cb",
   "metadata": {},
   "source": [
    "# Mass Shootings Dataset\n",
    "### Cleaned and analyzed by Joshua Ye for Professor Oz\n",
    "### October 16, 2021"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "id": "4433c336",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import necessary libraries\n",
    "import pandas as pd\n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "# Reading mass shootings csv\n",
    "mass_shootings = pd.read_csv(\"Mother Jones - Mass Shootings Database, 1982 - 2021 - Sheet1.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "800b6a04",
   "metadata": {},
   "source": [
    "# Mass Shootings Dataset Cleaning\n",
    "### Steps outlined below:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "id": "05947847",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>case</th>\n",
       "      <th>city</th>\n",
       "      <th>state</th>\n",
       "      <th>date</th>\n",
       "      <th>summary</th>\n",
       "      <th>fatalities</th>\n",
       "      <th>injured</th>\n",
       "      <th>total_victims</th>\n",
       "      <th>location_type</th>\n",
       "      <th>age_of_shooter</th>\n",
       "      <th>race</th>\n",
       "      <th>gender</th>\n",
       "      <th>sources</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>type</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>San Jose VTA shooting</td>\n",
       "      <td>San Jose</td>\n",
       "      <td>California</td>\n",
       "      <td>2021-05-26</td>\n",
       "      <td>Samuel Cassidy, 57, a Valley Transportation Au...</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>Workplace</td>\n",
       "      <td>57</td>\n",
       "      <td>-</td>\n",
       "      <td>M</td>\n",
       "      <td>https://www.sfchronicle.com/crime/article/Mass...</td>\n",
       "      <td>37.316097</td>\n",
       "      <td>-121.888533</td>\n",
       "      <td>Mass</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>FedEx warehouse shooting</td>\n",
       "      <td>Indianapolis</td>\n",
       "      <td>Indiana</td>\n",
       "      <td>2021-04-15</td>\n",
       "      <td>Brandon Scott Hole, 19, opened fire around 11 ...</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>15</td>\n",
       "      <td>Workplace</td>\n",
       "      <td>19</td>\n",
       "      <td>White</td>\n",
       "      <td>M</td>\n",
       "      <td>https://www.indystar.com/story/news/crime/2021...</td>\n",
       "      <td>39.686630</td>\n",
       "      <td>-86.323130</td>\n",
       "      <td>Mass</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Orange office complex shooting</td>\n",
       "      <td>Orange</td>\n",
       "      <td>California</td>\n",
       "      <td>2021-03-31</td>\n",
       "      <td>Aminadab Gaxiola Gonzalez, 44, allegedly opene...</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>Workplace</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>-</td>\n",
       "      <td>M</td>\n",
       "      <td>https://www.latimes.com/california/story/2021-...</td>\n",
       "      <td>33.835420</td>\n",
       "      <td>-117.853790</td>\n",
       "      <td>Mass</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Boulder supermarket shooting</td>\n",
       "      <td>Boulder</td>\n",
       "      <td>Colorado</td>\n",
       "      <td>2021-03-22</td>\n",
       "      <td>Ahmad Al Aliwi Alissa, 21, carried out a mass ...</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>Workplace</td>\n",
       "      <td>21</td>\n",
       "      <td>-</td>\n",
       "      <td>M</td>\n",
       "      <td>https://www.denverpost.com/2021/03/22/police-a...</td>\n",
       "      <td>39.986961</td>\n",
       "      <td>-105.251168</td>\n",
       "      <td>Mass</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Atlanta massage parlor shootings</td>\n",
       "      <td>Atlanta</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>2021-03-16</td>\n",
       "      <td>Robert Aaron Long, 21, killed eight people at ...</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>Workplace</td>\n",
       "      <td>21</td>\n",
       "      <td>White</td>\n",
       "      <td>M</td>\n",
       "      <td>https://www.ajc.com/news/breaking-multiple-sho...</td>\n",
       "      <td>34.111653</td>\n",
       "      <td>-84.580376</td>\n",
       "      <td>Spree</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>Shopping centers spree killings</td>\n",
       "      <td>Palm Bay</td>\n",
       "      <td>Florida</td>\n",
       "      <td>1987-04-23</td>\n",
       "      <td>Retired librarian William Cruse, 59, was paran...</td>\n",
       "      <td>6</td>\n",
       "      <td>14</td>\n",
       "      <td>20</td>\n",
       "      <td>Other</td>\n",
       "      <td>59</td>\n",
       "      <td>White</td>\n",
       "      <td>M</td>\n",
       "      <td>http://articles.latimes.com/1987-04-25/news/mn...</td>\n",
       "      <td>28.033189</td>\n",
       "      <td>-80.642970</td>\n",
       "      <td>Spree</td>\n",
       "      <td>1987</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>United States Postal Service shooting</td>\n",
       "      <td>Edmond</td>\n",
       "      <td>Oklahoma</td>\n",
       "      <td>1986-08-20</td>\n",
       "      <td>Postal worker Patrick Sherrill, 44, opened fir...</td>\n",
       "      <td>15</td>\n",
       "      <td>6</td>\n",
       "      <td>21</td>\n",
       "      <td>Workplace</td>\n",
       "      <td>44</td>\n",
       "      <td>White</td>\n",
       "      <td>M</td>\n",
       "      <td>http://news.google.com/newspapers?id=dm8aAAAAI...</td>\n",
       "      <td>35.667201</td>\n",
       "      <td>-97.429370</td>\n",
       "      <td>Mass</td>\n",
       "      <td>1986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>San Ysidro McDonald's massacre</td>\n",
       "      <td>San Ysidro</td>\n",
       "      <td>California</td>\n",
       "      <td>1984-07-18</td>\n",
       "      <td>James Oliver Huberty, 41, opened fire in a McD...</td>\n",
       "      <td>22</td>\n",
       "      <td>19</td>\n",
       "      <td>41</td>\n",
       "      <td>Other</td>\n",
       "      <td>41</td>\n",
       "      <td>White</td>\n",
       "      <td>M</td>\n",
       "      <td>http://www.utsandiego.com/san-ysidro-massacre/...</td>\n",
       "      <td>32.552001</td>\n",
       "      <td>-117.043081</td>\n",
       "      <td>Mass</td>\n",
       "      <td>1984</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>Dallas nightclub shooting</td>\n",
       "      <td>Dallas</td>\n",
       "      <td>Texas</td>\n",
       "      <td>1984-06-29</td>\n",
       "      <td>Abdelkrim Belachheb, 39, opened fire at an ups...</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>Other</td>\n",
       "      <td>39</td>\n",
       "      <td>White</td>\n",
       "      <td>M</td>\n",
       "      <td>http://books.google.com/books?id=Hr3OBwP-lbUC&amp;...</td>\n",
       "      <td>32.925166</td>\n",
       "      <td>-96.838676</td>\n",
       "      <td>Mass</td>\n",
       "      <td>1984</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>Welding shop shooting</td>\n",
       "      <td>Miami</td>\n",
       "      <td>Florida</td>\n",
       "      <td>1982-08-20</td>\n",
       "      <td>Junior high school teacher Carl Robert Brown, ...</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>Other</td>\n",
       "      <td>51</td>\n",
       "      <td>White</td>\n",
       "      <td>M</td>\n",
       "      <td>http://www.nytimes.com/1982/08/21/us/gunman-in...</td>\n",
       "      <td>25.796491</td>\n",
       "      <td>-80.226683</td>\n",
       "      <td>Mass</td>\n",
       "      <td>1982</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>124 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                      case          city       state  \\\n",
       "0                    San Jose VTA shooting      San Jose  California   \n",
       "1                 FedEx warehouse shooting  Indianapolis     Indiana   \n",
       "2           Orange office complex shooting        Orange  California   \n",
       "3             Boulder supermarket shooting       Boulder    Colorado   \n",
       "4         Atlanta massage parlor shootings       Atlanta     Georgia   \n",
       "..                                     ...           ...         ...   \n",
       "119        Shopping centers spree killings      Palm Bay     Florida   \n",
       "120  United States Postal Service shooting        Edmond    Oklahoma   \n",
       "121         San Ysidro McDonald's massacre    San Ysidro  California   \n",
       "122              Dallas nightclub shooting        Dallas       Texas   \n",
       "123                  Welding shop shooting         Miami     Florida   \n",
       "\n",
       "          date                                            summary  fatalities  \\\n",
       "0   2021-05-26  Samuel Cassidy, 57, a Valley Transportation Au...           9   \n",
       "1   2021-04-15  Brandon Scott Hole, 19, opened fire around 11 ...           8   \n",
       "2   2021-03-31  Aminadab Gaxiola Gonzalez, 44, allegedly opene...           4   \n",
       "3   2021-03-22  Ahmad Al Aliwi Alissa, 21, carried out a mass ...          10   \n",
       "4   2021-03-16  Robert Aaron Long, 21, killed eight people at ...           8   \n",
       "..         ...                                                ...         ...   \n",
       "119 1987-04-23  Retired librarian William Cruse, 59, was paran...           6   \n",
       "120 1986-08-20  Postal worker Patrick Sherrill, 44, opened fir...          15   \n",
       "121 1984-07-18  James Oliver Huberty, 41, opened fire in a McD...          22   \n",
       "122 1984-06-29  Abdelkrim Belachheb, 39, opened fire at an ups...           6   \n",
       "123 1982-08-20  Junior high school teacher Carl Robert Brown, ...           8   \n",
       "\n",
       "     injured  total_victims location_type  age_of_shooter   race gender  \\\n",
       "0          0              9     Workplace              57      -      M   \n",
       "1          7             15     Workplace              19  White      M   \n",
       "2          1              5     Workplace            <NA>      -      M   \n",
       "3          0             10     Workplace              21      -      M   \n",
       "4          1              9     Workplace              21  White      M   \n",
       "..       ...            ...           ...             ...    ...    ...   \n",
       "119       14             20         Other              59  White      M   \n",
       "120        6             21     Workplace              44  White      M   \n",
       "121       19             41         Other              41  White      M   \n",
       "122        1              7         Other              39  White      M   \n",
       "123        3             11         Other              51  White      M   \n",
       "\n",
       "                                               sources   latitude   longitude  \\\n",
       "0    https://www.sfchronicle.com/crime/article/Mass...  37.316097 -121.888533   \n",
       "1    https://www.indystar.com/story/news/crime/2021...  39.686630  -86.323130   \n",
       "2    https://www.latimes.com/california/story/2021-...  33.835420 -117.853790   \n",
       "3    https://www.denverpost.com/2021/03/22/police-a...  39.986961 -105.251168   \n",
       "4    https://www.ajc.com/news/breaking-multiple-sho...  34.111653  -84.580376   \n",
       "..                                                 ...        ...         ...   \n",
       "119  http://articles.latimes.com/1987-04-25/news/mn...  28.033189  -80.642970   \n",
       "120  http://news.google.com/newspapers?id=dm8aAAAAI...  35.667201  -97.429370   \n",
       "121  http://www.utsandiego.com/san-ysidro-massacre/...  32.552001 -117.043081   \n",
       "122  http://books.google.com/books?id=Hr3OBwP-lbUC&...  32.925166  -96.838676   \n",
       "123  http://www.nytimes.com/1982/08/21/us/gunman-in...  25.796491  -80.226683   \n",
       "\n",
       "      type  year  \n",
       "0     Mass  2021  \n",
       "1     Mass  2021  \n",
       "2     Mass  2021  \n",
       "3     Mass  2021  \n",
       "4    Spree  2021  \n",
       "..     ...   ...  \n",
       "119  Spree  1987  \n",
       "120   Mass  1986  \n",
       "121   Mass  1984  \n",
       "122   Mass  1984  \n",
       "123   Mass  1982  \n",
       "\n",
       "[124 rows x 17 columns]"
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Split location column in city and state columns\n",
    "mass_shootings[[\"city\", \"state\"]] = mass_shootings[\"location\"].str.split(\", \", 1, expand=True)\n",
    "cities = mass_shootings[\"city\"]\n",
    "states = mass_shootings[\"state\"]\n",
    "\n",
    "# Removed unnecessary columns\n",
    "mass_shootings = mass_shootings.drop(columns=[\"location\", \"prior_signs_mental_health_issues\", \"mental_health_details\", \"weapons_obtained_legally\", \"where_obtained\", \"weapon_type\", \"weapon_details\", \"mental_health_sources\", \"sources_additional_age\", \"city\", \"state\"])\n",
    "\n",
    "# Moved city and state columns to front of dataset\n",
    "mass_shootings.insert(1, \"state\", states)\n",
    "mass_shootings.insert(1, \"city\", cities)\n",
    "\n",
    "# Standardized dates to datetime64[ns]\n",
    "mass_shootings[\"date\"] = mass_shootings[\"date\"].astype(\"datetime64[ns]\")\n",
    "\n",
    "# Renamed column to better name: location_type\n",
    "mass_shootings = mass_shootings.rename({\"location.1\": \"location_type\"}, axis=1)\n",
    "\n",
    "# Removed extra whitespace from location_type cells\n",
    "mass_shootings[\"location_type\"] = mass_shootings[\"location_type\"].str.strip()\n",
    "\n",
    "# Converted age_of_shooter column from string to Int64\n",
    "mass_shootings.age_of_shooter = pd.to_numeric(mass_shootings.age_of_shooter, errors='coerce').astype(\"Int64\")\n",
    "\n",
    "# Removed extra whitespace from race cells\n",
    "mass_shootings[\"race\"] = mass_shootings.race.str.capitalize().str.strip()\n",
    "\n",
    "# Standardized gender column to M, F, and M & F\n",
    "mass_shootings[\"gender\"] = mass_shootings[\"gender\"].replace(\"Male\", \"M\").replace(\"Female\", \"F\").replace(\"Male & Female\", \"M & F\")\n",
    "\n",
    "mass_shootings"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1537c730",
   "metadata": {},
   "source": [
    "# Mass Shootings Descriptive Statistics\n",
    "### By overall, year, and location:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "0c5164d0",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>fatalities</th>\n",
       "      <th>injured</th>\n",
       "      <th>total_victims</th>\n",
       "      <th>age_of_shooter</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>124.00</td>\n",
       "      <td>124.00</td>\n",
       "      <td>124.00</td>\n",
       "      <td>121.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>8.03</td>\n",
       "      <td>11.71</td>\n",
       "      <td>19.74</td>\n",
       "      <td>34.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>7.77</td>\n",
       "      <td>49.48</td>\n",
       "      <td>54.93</td>\n",
       "      <td>12.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>3.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>3.00</td>\n",
       "      <td>11.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>4.75</td>\n",
       "      <td>1.00</td>\n",
       "      <td>6.75</td>\n",
       "      <td>24.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>6.00</td>\n",
       "      <td>3.00</td>\n",
       "      <td>10.00</td>\n",
       "      <td>34.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>9.00</td>\n",
       "      <td>10.00</td>\n",
       "      <td>17.25</td>\n",
       "      <td>43.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>58.00</td>\n",
       "      <td>546.00</td>\n",
       "      <td>604.00</td>\n",
       "      <td>66.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       fatalities  injured  total_victims  age_of_shooter\n",
       "count      124.00   124.00         124.00          121.00\n",
       "mean         8.03    11.71          19.74           34.16\n",
       "std          7.77    49.48          54.93           12.16\n",
       "min          3.00     0.00           3.00           11.00\n",
       "25%          4.75     1.00           6.75           24.00\n",
       "50%          6.00     3.00          10.00           34.00\n",
       "75%          9.00    10.00          17.25           43.00\n",
       "max         58.00   546.00         604.00           66.00"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Overall descriptive statistics\n",
    "mass_shootings[['fatalities','injured','total_victims','age_of_shooter']].describe().round(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "id": "91fd2c1f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Descriptive statistics for 1982\n",
      "       fatalities  injured  total_victims age_of_shooter\n",
      "count         1.0      1.0            1.0              1\n",
      "mean          8.0      3.0           11.0           51.0\n",
      "std           NaN      NaN            NaN           <NA>\n",
      "min           8.0      3.0           11.0             51\n",
      "25%           8.0      3.0           11.0             51\n",
      "50%           8.0      3.0           11.0             51\n",
      "75%           8.0      3.0           11.0             51\n",
      "max           8.0      3.0           11.0             51\n",
      "\n",
      "Descriptive statistics for 1984\n",
      "       fatalities  injured  total_victims  age_of_shooter\n",
      "count        2.00     2.00           2.00            2.00\n",
      "mean        14.00    10.00          24.00           40.00\n",
      "std         11.31    12.73          24.04            1.41\n",
      "min          6.00     1.00           7.00           39.00\n",
      "25%         10.00     5.50          15.50           39.50\n",
      "50%         14.00    10.00          24.00           40.00\n",
      "75%         18.00    14.50          32.50           40.50\n",
      "max         22.00    19.00          41.00           41.00\n",
      "\n",
      "Descriptive statistics for 1986\n",
      "       fatalities  injured  total_victims age_of_shooter\n",
      "count         1.0      1.0            1.0              1\n",
      "mean         15.0      6.0           21.0           44.0\n",
      "std           NaN      NaN            NaN           <NA>\n",
      "min          15.0      6.0           21.0             44\n",
      "25%          15.0      6.0           21.0             44\n",
      "50%          15.0      6.0           21.0             44\n",
      "75%          15.0      6.0           21.0             44\n",
      "max          15.0      6.0           21.0             44\n",
      "\n",
      "Descriptive statistics for 1987\n",
      "       fatalities  injured  total_victims age_of_shooter\n",
      "count         1.0      1.0            1.0              1\n",
      "mean          6.0     14.0           20.0           59.0\n",
      "std           NaN      NaN            NaN           <NA>\n",
      "min           6.0     14.0           20.0             59\n",
      "25%           6.0     14.0           20.0             59\n",
      "50%           6.0     14.0           20.0             59\n",
      "75%           6.0     14.0           20.0             59\n",
      "max           6.0     14.0           20.0             59\n",
      "\n",
      "Descriptive statistics for 1988\n",
      "       fatalities  injured  total_victims age_of_shooter\n",
      "count         1.0      1.0            1.0              1\n",
      "mean          7.0      4.0           11.0           39.0\n",
      "std           NaN      NaN            NaN           <NA>\n",
      "min           7.0      4.0           11.0             39\n",
      "25%           7.0      4.0           11.0             39\n",
      "50%           7.0      4.0           11.0             39\n",
      "75%           7.0      4.0           11.0             39\n",
      "max           7.0      4.0           11.0             39\n",
      "\n",
      "Descriptive statistics for 1989\n",
      "       fatalities  injured  total_victims  age_of_shooter\n",
      "count        2.00     2.00            2.0            2.00\n",
      "mean         7.50    20.50           28.0           36.50\n",
      "std          2.12    12.02            9.9           14.85\n",
      "min          6.00    12.00           21.0           26.00\n",
      "25%          6.75    16.25           24.5           31.25\n",
      "50%          7.50    20.50           28.0           36.50\n",
      "75%          8.25    24.75           31.5           41.75\n",
      "max          9.00    29.00           35.0           47.00\n",
      "\n",
      "Descriptive statistics for 1990\n",
      "       fatalities  injured  total_victims age_of_shooter\n",
      "count         1.0      1.0            1.0              1\n",
      "mean         10.0      4.0           14.0           42.0\n",
      "std           NaN      NaN            NaN           <NA>\n",
      "min          10.0      4.0           14.0             42\n",
      "25%          10.0      4.0           14.0             42\n",
      "50%          10.0      4.0           14.0             42\n",
      "75%          10.0      4.0           14.0             42\n",
      "max          10.0      4.0           14.0             42\n",
      "\n",
      "Descriptive statistics for 1991\n",
      "       fatalities  injured  total_victims  age_of_shooter\n",
      "count        3.00     3.00           3.00            3.00\n",
      "mean        11.67     8.67          20.33           31.33\n",
      "std         10.69    10.02          20.55            3.51\n",
      "min          5.00     1.00           7.00           28.00\n",
      "25%          5.50     3.00           8.50           29.50\n",
      "50%          6.00     5.00          10.00           31.00\n",
      "75%         15.00    12.50          27.00           33.00\n",
      "max         24.00    20.00          44.00           35.00\n",
      "\n",
      "Descriptive statistics for 1992\n",
      "       fatalities  injured  total_victims  age_of_shooter\n",
      "count        2.00     2.00           2.00            2.00\n",
      "mean         4.50     5.00           9.50           35.00\n",
      "std          0.71     7.07           6.36           21.21\n",
      "min          4.00     0.00           5.00           20.00\n",
      "25%          4.25     2.50           7.25           27.50\n",
      "50%          4.50     5.00           9.50           35.00\n",
      "75%          4.75     7.50          11.75           42.50\n",
      "max          5.00    10.00          14.00           50.00\n",
      "\n",
      "Descriptive statistics for 1993\n",
      "       fatalities  injured  total_victims  age_of_shooter\n",
      "count        4.00     4.00           4.00            4.00\n",
      "mean         5.75     8.50          14.25           32.75\n",
      "std          2.36     7.59           8.30           16.38\n",
      "min          4.00     1.00           5.00           19.00\n",
      "25%          4.00     4.75          10.25           21.25\n",
      "50%          5.00     7.00          13.50           28.50\n",
      "75%          6.75    10.75          17.50           40.00\n",
      "max          9.00    19.00          25.00           55.00\n",
      "\n",
      "Descriptive statistics for 1994\n",
      "       fatalities  injured  total_victims age_of_shooter\n",
      "count         1.0      1.0            1.0              1\n",
      "mean          5.0     23.0           28.0           20.0\n",
      "std           NaN      NaN            NaN           <NA>\n",
      "min           5.0     23.0           28.0             20\n",
      "25%           5.0     23.0           28.0             20\n",
      "50%           5.0     23.0           28.0             20\n",
      "75%           5.0     23.0           28.0             20\n",
      "max           5.0     23.0           28.0             20\n",
      "\n",
      "Descriptive statistics for 1995\n",
      "       fatalities  injured  total_victims age_of_shooter\n",
      "count         1.0      1.0            1.0              1\n",
      "mean          6.0      0.0            6.0           28.0\n",
      "std           NaN      NaN            NaN           <NA>\n",
      "min           6.0      0.0            6.0             28\n",
      "25%           6.0      0.0            6.0             28\n",
      "50%           6.0      0.0            6.0             28\n",
      "75%           6.0      0.0            6.0             28\n",
      "max           6.0      0.0            6.0             28\n",
      "\n",
      "Descriptive statistics for 1996\n",
      "       fatalities  injured  total_victims age_of_shooter\n",
      "count         1.0      1.0            1.0              1\n",
      "mean          6.0      1.0            7.0           41.0\n",
      "std           NaN      NaN            NaN           <NA>\n",
      "min           6.0      1.0            7.0             41\n",
      "25%           6.0      1.0            7.0             41\n",
      "50%           6.0      1.0            7.0             41\n",
      "75%           6.0      1.0            7.0             41\n",
      "max           6.0      1.0            7.0             41\n",
      "\n",
      "Descriptive statistics for 1997\n",
      "       fatalities  injured  total_victims  age_of_shooter\n",
      "count        2.00     2.00            2.0            2.00\n",
      "mean         4.50     2.50            7.0           42.00\n",
      "std          0.71     0.71            0.0            1.41\n",
      "min          4.00     2.00            7.0           41.00\n",
      "25%          4.25     2.25            7.0           41.50\n",
      "50%          4.50     2.50            7.0           42.00\n",
      "75%          4.75     2.75            7.0           42.50\n",
      "max          5.00     3.00            7.0           43.00\n",
      "\n",
      "Descriptive statistics for 1998\n",
      "       fatalities  injured  total_victims  age_of_shooter\n",
      "count        3.00     3.00           3.00            3.00\n",
      "mean         4.67    12.00          16.67           20.33\n",
      "std          0.58    12.12          11.59           12.86\n",
      "min          4.00     1.00           6.00           11.00\n",
      "25%          4.50     5.50          10.50           13.00\n",
      "50%          5.00    10.00          15.00           15.00\n",
      "75%          5.00    17.50          22.00           25.00\n",
      "max          5.00    25.00          29.00           35.00\n",
      "\n",
      "Descriptive statistics for 1999\n",
      "       fatalities  injured  total_victims  age_of_shooter\n",
      "count        5.00      5.0           5.00            5.00\n",
      "mean         8.40      9.4          17.80           36.80\n",
      "std          2.97      9.5          12.32           11.82\n",
      "min          5.00      0.0           7.00           17.00\n",
      "25%          7.00      3.0           8.00           36.00\n",
      "50%          8.00      7.0          15.00           40.00\n",
      "75%          9.00     13.0          22.00           44.00\n",
      "max         13.00     24.0          37.00           47.00\n",
      "\n",
      "Descriptive statistics for 2000\n",
      "       fatalities  injured  total_victims age_of_shooter\n",
      "count         1.0      1.0            1.0              1\n",
      "mean          7.0      0.0            7.0           42.0\n",
      "std           NaN      NaN            NaN           <NA>\n",
      "min           7.0      0.0            7.0             42\n",
      "25%           7.0      0.0            7.0             42\n",
      "50%           7.0      0.0            7.0             42\n",
      "75%           7.0      0.0            7.0             42\n",
      "max           7.0      0.0            7.0             42\n",
      "\n",
      "Descriptive statistics for 2001\n",
      "       fatalities  injured  total_victims age_of_shooter\n",
      "count         1.0      1.0            1.0              1\n",
      "mean          5.0      4.0            9.0           66.0\n",
      "std           NaN      NaN            NaN           <NA>\n",
      "min           5.0      4.0            9.0             66\n",
      "25%           5.0      4.0            9.0             66\n",
      "50%           5.0      4.0            9.0             66\n",
      "75%           5.0      4.0            9.0             66\n",
      "max           5.0      4.0            9.0             66\n",
      "\n",
      "Descriptive statistics for 2003\n",
      "       fatalities  injured  total_victims age_of_shooter\n",
      "count         1.0      1.0            1.0              1\n",
      "mean          7.0      8.0           15.0           48.0\n",
      "std           NaN      NaN            NaN           <NA>\n",
      "min           7.0      8.0           15.0             48\n",
      "25%           7.0      8.0           15.0             48\n",
      "50%           7.0      8.0           15.0             48\n",
      "75%           7.0      8.0           15.0             48\n",
      "max           7.0      8.0           15.0             48\n",
      "\n",
      "Descriptive statistics for 2004\n",
      "       fatalities  injured  total_victims age_of_shooter\n",
      "count         1.0      1.0            1.0              1\n",
      "mean          5.0      7.0           12.0           25.0\n",
      "std           NaN      NaN            NaN           <NA>\n",
      "min           5.0      7.0           12.0             25\n",
      "25%           5.0      7.0           12.0             25\n",
      "50%           5.0      7.0           12.0             25\n",
      "75%           5.0      7.0           12.0             25\n",
      "max           5.0      7.0           12.0             25\n",
      "\n",
      "Descriptive statistics for 2005\n",
      "       fatalities  injured  total_victims  age_of_shooter\n",
      "count        2.00     2.00           2.00             2.0\n",
      "mean         8.50     4.50          13.00            30.0\n",
      "std          2.12     0.71           2.83            19.8\n",
      "min          7.00     4.00          11.00            16.0\n",
      "25%          7.75     4.25          12.00            23.0\n",
      "50%          8.50     4.50          13.00            30.0\n",
      "75%          9.25     4.75          14.00            37.0\n",
      "max         10.00     5.00          15.00            44.0\n",
      "\n",
      "Descriptive statistics for 2006\n",
      "       fatalities  injured  total_victims  age_of_shooter\n",
      "count         3.0     3.00           3.00            3.00\n",
      "mean          7.0     2.33           9.33           34.67\n",
      "std           1.0     2.52           1.53            8.33\n",
      "min           6.0     0.00           8.00           28.00\n",
      "25%           6.5     1.00           8.50           30.00\n",
      "50%           7.0     2.00           9.00           32.00\n",
      "75%           7.5     3.50          10.00           38.00\n",
      "max           8.0     5.00          11.00           44.00\n",
      "\n",
      "Descriptive statistics for 2007\n",
      "       fatalities  injured  total_victims  age_of_shooter\n",
      "count        4.00     4.00           4.00            4.00\n",
      "mean        13.25     8.00          21.25           20.00\n",
      "std         12.58    10.10          22.63            2.16\n",
      "min          6.00     1.00           7.00           18.00\n",
      "25%          6.00     3.25           9.25           18.75\n",
      "50%          7.50     4.00          11.50           19.50\n",
      "75%         14.75     8.75          23.50           20.75\n",
      "max         32.00    23.00          55.00           23.00\n",
      "\n",
      "Descriptive statistics for 2008\n",
      "       fatalities  injured  total_victims  age_of_shooter\n",
      "count        3.00     3.00           3.00            3.00\n",
      "mean         5.67     8.00          13.67           34.67\n",
      "std          0.58    11.27          10.69           15.04\n",
      "min          5.00     1.00           7.00           25.00\n",
      "25%          5.50     1.50           7.50           26.00\n",
      "50%          6.00     2.00           8.00           27.00\n",
      "75%          6.00    11.50          17.00           39.50\n",
      "max          6.00    21.00          26.00           52.00\n",
      "\n",
      "Descriptive statistics for 2009\n",
      "       fatalities  injured  total_victims  age_of_shooter\n",
      "count        4.00     4.00           4.00            4.00\n",
      "mean         9.75     9.75          19.50           40.50\n",
      "std          4.65    14.22          17.18            3.42\n",
      "min          4.00     1.00           5.00           37.00\n",
      "25%          7.00     2.50           9.50           38.50\n",
      "50%         10.50     3.50          14.50           40.00\n",
      "75%         13.25    10.75          24.50           42.00\n",
      "max         14.00    31.00          44.00           45.00\n",
      "\n",
      "Descriptive statistics for 2010\n",
      "       fatalities  injured  total_victims age_of_shooter\n",
      "count         1.0      1.0            1.0              1\n",
      "mean          9.0      2.0           11.0           34.0\n",
      "std           NaN      NaN            NaN           <NA>\n",
      "min           9.0      2.0           11.0             34\n",
      "25%           9.0      2.0           11.0             34\n",
      "50%           9.0      2.0           11.0             34\n",
      "75%           9.0      2.0           11.0             34\n",
      "max           9.0      2.0           11.0             34\n",
      "\n",
      "Descriptive statistics for 2011\n",
      "       fatalities  injured  total_victims  age_of_shooter\n",
      "count        3.00      3.0           3.00             3.0\n",
      "mean         6.33      7.0          13.33            32.0\n",
      "std          1.53      6.0           5.13            10.0\n",
      "min          5.00      1.0           9.00            22.0\n",
      "25%          5.50      4.0          10.50            27.0\n",
      "50%          6.00      7.0          12.00            32.0\n",
      "75%          7.00     10.0          15.50            37.0\n",
      "max          8.00     13.0          19.00            42.0\n",
      "\n",
      "Descriptive statistics for 2012\n",
      "       fatalities  injured  total_victims  age_of_shooter\n",
      "count        7.00     7.00           7.00            7.00\n",
      "mean        10.14    11.43          21.57           37.43\n",
      "std          7.76    25.85          27.83           12.88\n",
      "min          5.00     0.00           5.00           20.00\n",
      "25%          6.50     1.00           7.50           30.00\n",
      "50%          7.00     2.00          10.00           40.00\n",
      "75%          9.50     3.00          19.50           41.50\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "max         27.00    70.00          82.00           59.00\n",
      "\n",
      "Descriptive statistics for 2013\n",
      "       fatalities  injured  total_victims  age_of_shooter\n",
      "count        5.00     5.00           5.00            5.00\n",
      "mean         7.00     2.60           9.60           38.00\n",
      "std          2.92     3.29           5.98           16.23\n",
      "min          5.00     0.00           5.00           23.00\n",
      "25%          5.00     0.00           7.00           27.00\n",
      "50%          6.00     2.00           7.00           34.00\n",
      "75%          7.00     3.00           9.00           42.00\n",
      "max         12.00     8.00          20.00           64.00\n",
      "\n",
      "Descriptive statistics for 2014\n",
      "       fatalities  injured  total_victims  age_of_shooter\n",
      "count        4.00     4.00           4.00            4.00\n",
      "mean         4.50     7.00          11.50           28.75\n",
      "std          1.29     6.38           6.56           12.84\n",
      "min          3.00     1.00           6.00           15.00\n",
      "25%          3.75     1.75           6.00           20.25\n",
      "50%          4.50     7.00          10.50           28.00\n",
      "75%          5.25    12.25          16.00           36.50\n",
      "max          6.00    13.00          19.00           44.00\n",
      "\n",
      "Descriptive statistics for 2015\n",
      "       fatalities  injured  total_victims  age_of_shooter\n",
      "count        7.00     7.00           7.00            7.00\n",
      "mean         6.57     6.14          12.71           30.86\n",
      "std          4.24     7.58          11.07           12.10\n",
      "min          3.00     0.00           3.00           21.00\n",
      "25%          3.00     1.00           5.50           25.00\n",
      "50%          5.00     2.00          10.00           27.00\n",
      "75%          9.00     9.00          15.00           30.50\n",
      "max         14.00    21.00          35.00           57.00\n",
      "\n",
      "Descriptive statistics for 2016\n",
      "       fatalities  injured  total_victims  age_of_shooter\n",
      "count        6.00     6.00           6.00            6.00\n",
      "mean        11.83    13.83          25.67           31.00\n",
      "std         18.25    19.95          37.74            9.06\n",
      "min          3.00     0.00           5.00           20.00\n",
      "25%          3.50     2.25           6.50           26.00\n",
      "50%          5.00     7.00          12.00           29.00\n",
      "75%          5.75    13.25          16.75           35.75\n",
      "max         49.00    53.00         102.00           45.00\n",
      "\n",
      "Descriptive statistics for 2017\n",
      "       fatalities  injured  total_victims  age_of_shooter\n",
      "count       11.00    11.00          11.00           11.00\n",
      "mean        10.64    53.36          64.00           39.36\n",
      "std         17.10   163.51         179.54           11.54\n",
      "min          3.00     0.00           3.00           24.00\n",
      "25%          3.00     0.00           3.00           31.50\n",
      "50%          3.00     2.00           5.00           39.00\n",
      "75%          5.00     8.00          13.00           44.50\n",
      "max         58.00   546.00         604.00           64.00\n",
      "\n",
      "Descriptive statistics for 2018\n",
      "       fatalities  injured  total_victims  age_of_shooter\n",
      "count       12.00    12.00          12.00           12.00\n",
      "mean         6.67     5.83          12.50           31.83\n",
      "std          4.66     7.41          11.67           10.50\n",
      "min          3.00     0.00           3.00           17.00\n",
      "25%          3.00     0.75           5.00           27.50\n",
      "50%          4.50     2.50           6.50           29.00\n",
      "75%         10.25     7.75          18.50           36.50\n",
      "max         17.00    22.00          34.00           54.00\n",
      "\n",
      "Descriptive statistics for 2019\n",
      "       fatalities  injured  total_victims  age_of_shooter\n",
      "count       10.00    10.00          10.00            8.00\n",
      "mean         7.30    11.20          18.50           28.38\n",
      "std          5.95    10.78          14.96           10.28\n",
      "min          3.00     0.00           4.00           19.00\n",
      "25%          3.25     3.25           8.00           21.00\n",
      "50%          5.00     7.00          13.00           22.50\n",
      "75%          8.50    21.75          28.00           37.00\n",
      "max         22.00    27.00          48.00           45.00\n",
      "\n",
      "Descriptive statistics for 2020\n",
      "       fatalities  injured  total_victims  age_of_shooter\n",
      "count        2.00      2.0           2.00            2.00\n",
      "mean         4.50      0.0           4.50           41.00\n",
      "std          0.71      0.0           0.71           14.14\n",
      "min          4.00      0.0           4.00           31.00\n",
      "25%          4.25      0.0           4.25           36.00\n",
      "50%          4.50      0.0           4.50           41.00\n",
      "75%          4.75      0.0           4.75           46.00\n",
      "max          5.00      0.0           5.00           51.00\n",
      "\n",
      "Descriptive statistics for 2021\n",
      "       fatalities  injured  total_victims  age_of_shooter\n",
      "count        5.00     5.00           5.00            4.00\n",
      "mean         7.80     1.80           9.60           29.50\n",
      "std          2.28     2.95           3.58           18.36\n",
      "min          4.00     0.00           5.00           19.00\n",
      "25%          8.00     0.00           9.00           20.50\n",
      "50%          8.00     1.00           9.00           21.00\n",
      "75%          9.00     1.00          10.00           30.00\n",
      "max         10.00     7.00          15.00           57.00\n"
     ]
    }
   ],
   "source": [
    "# Descriptive statistics by year\n",
    "for year in range(1982, 2022):\n",
    "    if not mass_shootings[mass_shootings.year == year].empty:\n",
    "        print(\"\\nDescriptive statistics for\", year)\n",
    "        print(mass_shootings[['fatalities','injured','total_victims','age_of_shooter']][mass_shootings.year == year].describe().round(2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "385d3310",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Descriptive statistics for North Carolina\n",
      "       fatalities  injured  total_victims  age_of_shooter\n",
      "count        2.00     2.00           2.00            2.00\n",
      "mean         6.00     5.50          11.50           33.50\n",
      "std          2.83     3.54           0.71           16.26\n",
      "min          4.00     3.00          11.00           22.00\n",
      "25%          5.00     4.25          11.25           27.75\n",
      "50%          6.00     5.50          11.50           33.50\n",
      "75%          7.00     6.75          11.75           39.25\n",
      "max          8.00     8.00          12.00           45.00\n",
      "\n",
      "Descriptive statistics for Arkansas\n",
      "       fatalities  injured  total_victims age_of_shooter\n",
      "count         1.0      1.0            1.0              1\n",
      "mean          5.0     10.0           15.0           11.0\n",
      "std           NaN      NaN            NaN           <NA>\n",
      "min           5.0     10.0           15.0             11\n",
      "25%           5.0     10.0           15.0             11\n",
      "50%           5.0     10.0           15.0             11\n",
      "75%           5.0     10.0           15.0             11\n",
      "max           5.0     10.0           15.0             11\n",
      "\n",
      "Descriptive statistics for Indiana\n",
      "       fatalities  injured  total_victims age_of_shooter\n",
      "count         1.0      1.0            1.0              1\n",
      "mean          8.0      7.0           15.0           19.0\n",
      "std           NaN      NaN            NaN           <NA>\n",
      "min           8.0      7.0           15.0             19\n",
      "25%           8.0      7.0           15.0             19\n",
      "50%           8.0      7.0           15.0             19\n",
      "75%           8.0      7.0           15.0             19\n",
      "max           8.0      7.0           15.0             19\n",
      "\n",
      "Descriptive statistics for New Jersey\n",
      "       fatalities  injured  total_victims age_of_shooter\n",
      "count         1.0      1.0            1.0              0\n",
      "mean          4.0      3.0            7.0           <NA>\n",
      "std           NaN      NaN            NaN           <NA>\n",
      "min           4.0      3.0            7.0           <NA>\n",
      "25%           4.0      3.0            7.0           <NA>\n",
      "50%           4.0      3.0            7.0           <NA>\n",
      "75%           4.0      3.0            7.0           <NA>\n",
      "max           4.0      3.0            7.0           <NA>\n",
      "\n",
      "Descriptive statistics for Pennsylvania\n",
      "       fatalities  injured  total_victims  age_of_shooter\n",
      "count        5.00      5.0           5.00            5.00\n",
      "mean         5.40      2.6           8.00           30.20\n",
      "std          3.36      2.7           5.92            9.76\n",
      "min          3.00      0.0           3.00           21.00\n",
      "25%          3.00      1.0           4.00           24.00\n",
      "50%          4.00      1.0           5.00           28.00\n",
      "75%          6.00      5.0          11.00           32.00\n",
      "max         11.00      6.0          17.00           46.00\n",
      "\n",
      "Descriptive statistics for Connecticut\n",
      "       fatalities  injured  total_victims  age_of_shooter\n",
      "count        3.00     3.00           3.00            3.00\n",
      "mean        13.67     1.67          15.33           29.67\n",
      "std         11.72     0.58          12.10            8.39\n",
      "min          5.00     1.00           6.00           20.00\n",
      "25%          7.00     1.50           8.50           27.00\n",
      "50%          9.00     2.00          11.00           34.00\n",
      "75%         18.00     2.00          20.00           34.50\n",
      "max         27.00     2.00          29.00           35.00\n",
      "\n",
      "Descriptive statistics for D.C.\n",
      "       fatalities  injured  total_victims age_of_shooter\n",
      "count         1.0      1.0            1.0              1\n",
      "mean         12.0      8.0           20.0           34.0\n",
      "std           NaN      NaN            NaN           <NA>\n",
      "min          12.0      8.0           20.0             34\n",
      "25%          12.0      8.0           20.0             34\n",
      "50%          12.0      8.0           20.0             34\n",
      "75%          12.0      8.0           20.0             34\n",
      "max          12.0      8.0           20.0             34\n",
      "\n",
      "Descriptive statistics for Oregon\n",
      "       fatalities  injured  total_victims  age_of_shooter\n",
      "count        2.00     2.00           2.00            2.00\n",
      "mean         6.50    17.00          23.50           20.50\n",
      "std          3.54    11.31           7.78            7.78\n",
      "min          4.00     9.00          18.00           15.00\n",
      "25%          5.25    13.00          20.75           17.75\n",
      "50%          6.50    17.00          23.50           20.50\n",
      "75%          7.75    21.00          26.25           23.25\n",
      "max          9.00    25.00          29.00           26.00\n",
      "\n",
      "Descriptive statistics for Arizona\n",
      "       fatalities  injured  total_victims age_of_shooter\n",
      "count         1.0      1.0            1.0              1\n",
      "mean          6.0     13.0           19.0           22.0\n",
      "std           NaN      NaN            NaN           <NA>\n",
      "min           6.0     13.0           19.0             22\n",
      "25%           6.0     13.0           19.0             22\n",
      "50%           6.0     13.0           19.0             22\n",
      "75%           6.0     13.0           19.0             22\n",
      "max           6.0     13.0           19.0             22\n",
      "\n",
      "Descriptive statistics for Colorado\n",
      "       fatalities  injured  total_victims  age_of_shooter\n",
      "count        7.00     7.00           7.00            7.00\n",
      "mean         6.86    14.86          21.71           31.14\n",
      "std          4.60    25.86          29.10           15.41\n",
      "min          3.00     0.00           3.00           17.00\n",
      "25%          3.00     0.00           4.00           20.00\n",
      "50%          4.00     1.00          10.00           24.00\n",
      "75%         11.00    16.50          24.50           40.00\n",
      "max         13.00    70.00          82.00           57.00\n",
      "\n",
      "Descriptive statistics for Georgia\n",
      "       fatalities  injured  total_victims  age_of_shooter\n",
      "count        3.00     3.00           3.00            3.00\n",
      "mean         7.33     4.67          12.00           41.33\n",
      "std          2.08     7.23           8.89           19.14\n",
      "min          5.00     0.00           5.00           21.00\n",
      "25%          6.50     0.50           7.00           32.50\n",
      "50%          8.00     1.00           9.00           44.00\n",
      "75%          8.50     7.00          15.50           51.50\n",
      "max          9.00    13.00          22.00           59.00\n",
      "\n",
      "Descriptive statistics for Mississippi\n",
      "       fatalities  injured  total_victims age_of_shooter\n",
      "count         1.0      1.0            1.0              1\n",
      "mean          7.0      8.0           15.0           48.0\n",
      "std           NaN      NaN            NaN           <NA>\n",
      "min           7.0      8.0           15.0             48\n",
      "25%           7.0      8.0           15.0             48\n",
      "50%           7.0      8.0           15.0             48\n",
      "75%           7.0      8.0           15.0             48\n",
      "max           7.0      8.0           15.0             48\n",
      "\n",
      "Descriptive statistics for Virginia\n",
      "       fatalities  injured  total_victims  age_of_shooter\n",
      "count        2.00     2.00           2.00            2.00\n",
      "mean        22.00    13.50          35.50           31.50\n",
      "std         14.14    13.44          27.58           12.02\n",
      "min         12.00     4.00          16.00           23.00\n",
      "25%         17.00     8.75          25.75           27.25\n",
      "50%         22.00    13.50          35.50           31.50\n",
      "75%         27.00    18.25          45.25           35.75\n",
      "max         32.00    23.00          55.00           40.00\n",
      "\n",
      "Descriptive statistics for Illinois\n",
      "       fatalities  injured  total_victims  age_of_shooter\n",
      "count         4.0     4.00           4.00            4.00\n",
      "mean          4.5     7.75          12.25           42.50\n",
      "std           1.0     9.18           9.78           17.41\n",
      "min           3.0     0.00           3.00           27.00\n",
      "25%           4.5     3.00           7.50           30.75\n",
      "50%           5.0     5.00          10.00           38.50\n",
      "75%           5.0     9.75          14.75           50.25\n",
      "max           5.0    21.00          26.00           66.00\n",
      "\n",
      "Descriptive statistics for Kansas\n",
      "       fatalities  injured  total_victims age_of_shooter\n",
      "count         1.0      1.0            1.0              1\n",
      "mean          3.0     14.0           17.0           38.0\n",
      "std           NaN      NaN            NaN           <NA>\n",
      "min           3.0     14.0           17.0             38\n",
      "25%           3.0     14.0           17.0             38\n",
      "50%           3.0     14.0           17.0             38\n",
      "75%           3.0     14.0           17.0             38\n",
      "max           3.0     14.0           17.0             38\n",
      "\n",
      "Descriptive statistics for Lousiana\n",
      "       fatalities  injured  total_victims age_of_shooter\n",
      "count         1.0      1.0            1.0              1\n",
      "mean          3.0      3.0            6.0           29.0\n",
      "std           NaN      NaN            NaN           <NA>\n",
      "min           3.0      3.0            6.0             29\n",
      "25%           3.0      3.0            6.0             29\n",
      "50%           3.0      3.0            6.0             29\n",
      "75%           3.0      3.0            6.0             29\n",
      "max           3.0      3.0            6.0             29\n",
      "\n",
      "Descriptive statistics for Texas\n",
      "       fatalities  injured  total_victims  age_of_shooter\n",
      "count       11.00    11.00          11.00           11.00\n",
      "mean        11.82    15.09          26.91           31.55\n",
      "std          8.29    10.20          16.34            8.93\n",
      "min          3.00     0.00           6.00           17.00\n",
      "25%          6.00     9.00          15.00           25.50\n",
      "50%          8.00    13.00          23.00           34.00\n",
      "75%         17.50    22.50          44.00           37.50\n",
      "max         26.00    31.00          48.00           47.00\n",
      "\n",
      "Descriptive statistics for Nebraska\n",
      "       fatalities  injured  total_victims age_of_shooter\n",
      "count         1.0      1.0            1.0              1\n",
      "mean          9.0      4.0           13.0           19.0\n",
      "std           NaN      NaN            NaN           <NA>\n",
      "min           9.0      4.0           13.0             19\n",
      "25%           9.0      4.0           13.0             19\n",
      "50%           9.0      4.0           13.0             19\n",
      "75%           9.0      4.0           13.0             19\n",
      "max           9.0      4.0           13.0             19\n",
      "\n",
      "Descriptive statistics for Michigan\n",
      "       fatalities  injured  total_victims  age_of_shooter\n",
      "count        2.00     2.00           2.00             2.0\n",
      "mean         5.50     3.50           9.00            38.0\n",
      "std          0.71     2.12           1.41             9.9\n",
      "min          5.00     2.00           8.00            31.0\n",
      "25%          5.25     2.75           8.50            34.5\n",
      "50%          5.50     3.50           9.00            38.0\n",
      "75%          5.75     4.25           9.50            41.5\n",
      "max          6.00     5.00          10.00            45.0\n",
      "\n",
      "Descriptive statistics for Utah\n",
      "       fatalities  injured  total_victims age_of_shooter\n",
      "count         1.0      1.0            1.0              1\n",
      "mean          6.0      4.0           10.0           18.0\n",
      "std           NaN      NaN            NaN           <NA>\n",
      "min           6.0      4.0           10.0             18\n",
      "25%           6.0      4.0           10.0             18\n",
      "50%           6.0      4.0           10.0             18\n",
      "75%           6.0      4.0           10.0             18\n",
      "max           6.0      4.0           10.0             18\n",
      "\n",
      "Descriptive statistics for Kentucky\n",
      "       fatalities  injured  total_victims  age_of_shooter\n",
      "count        2.00     2.00            2.0            2.00\n",
      "mean         7.50     6.50           14.0           36.00\n",
      "std          2.12     7.78            9.9           15.56\n",
      "min          6.00     1.00            7.0           25.00\n",
      "25%          6.75     3.75           10.5           30.50\n",
      "50%          7.50     6.50           14.0           36.00\n",
      "75%          8.25     9.25           17.5           41.50\n",
      "max          9.00    12.00           21.0           47.00\n",
      "\n",
      "Descriptive statistics for Massachusetts\n",
      "       fatalities  injured  total_victims age_of_shooter\n",
      "count         1.0      1.0            1.0              1\n",
      "mean          7.0      0.0            7.0           42.0\n",
      "std           NaN      NaN            NaN           <NA>\n",
      "min           7.0      0.0            7.0             42\n",
      "25%           7.0      0.0            7.0             42\n",
      "50%           7.0      0.0            7.0             42\n",
      "75%           7.0      0.0            7.0             42\n",
      "max           7.0      0.0            7.0             42\n",
      "\n",
      "Descriptive statistics for Washington\n",
      "       fatalities  injured  total_victims  age_of_shooter\n",
      "count        7.00     7.00           7.00            7.00\n",
      "mean         5.29     4.00           9.29           26.71\n",
      "std          0.95     8.41           8.38            9.23\n",
      "min          4.00     0.00           5.00           15.00\n",
      "25%          5.00     0.50           5.00           20.00\n",
      "50%          5.00     1.00           6.00           27.00\n",
      "75%          5.50     1.50           8.00           32.50\n",
      "max          7.00    23.00          28.00           40.00\n",
      "\n",
      "Descriptive statistics for New York\n",
      "       fatalities  injured  total_victims  age_of_shooter\n",
      "count        4.00     4.00           4.00            4.00\n",
      "mean         7.50     6.25          13.75           47.50\n",
      "std          4.36     8.66           9.43           12.61\n",
      "min          5.00     0.00           5.00           35.00\n",
      "25%          5.00     1.50           6.50           39.50\n",
      "50%          5.50     3.00          12.50           45.50\n",
      "75%          8.00     7.75          19.75           53.50\n",
      "max         14.00    19.00          25.00           64.00\n",
      "\n",
      "Descriptive statistics for California\n",
      "       fatalities  injured  total_victims  age_of_shooter\n",
      "count       22.00    22.00          22.00           21.00\n",
      "mean         6.95     7.27          14.23           37.29\n",
      "std          4.45     8.62          11.49           11.35\n",
      "min          3.00     0.00           3.00           19.00\n",
      "25%          4.00     1.00           6.25           28.00\n",
      "50%          6.00     3.00           9.50           39.00\n",
      "75%          8.00    11.50          15.00           44.00\n",
      "max         22.00    29.00          41.00           57.00\n",
      "\n",
      "Descriptive statistics for Minnesota\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "       fatalities  injured  total_victims  age_of_shooter\n",
      "count        2.00     2.00           2.00            2.00\n",
      "mean         8.50     3.00          11.50           26.00\n",
      "std          2.12     2.83           4.95           14.14\n",
      "min          7.00     1.00           8.00           16.00\n",
      "25%          7.75     2.00           9.75           21.00\n",
      "50%          8.50     3.00          11.50           26.00\n",
      "75%          9.25     4.00          13.25           31.00\n",
      "max         10.00     5.00          15.00           36.00\n",
      "\n",
      "Descriptive statistics for Maryland\n",
      "       fatalities  injured  total_victims  age_of_shooter\n",
      "count        3.00     3.00           3.00            3.00\n",
      "mean         3.67     2.67           6.33           33.67\n",
      "std          1.15     0.58           0.58            6.66\n",
      "min          3.00     2.00           6.00           26.00\n",
      "25%          3.00     2.50           6.00           31.50\n",
      "50%          3.00     3.00           6.00           37.00\n",
      "75%          4.00     3.00           6.50           37.50\n",
      "max          5.00     3.00           7.00           38.00\n",
      "\n",
      "Descriptive statistics for Wisconsin\n",
      "       fatalities  injured  total_victims  age_of_shooter\n",
      "count        5.00     5.00           5.00            5.00\n",
      "mean         5.60     1.80           7.40           36.40\n",
      "std          1.67     1.64           3.05           12.66\n",
      "min          3.00     0.00           4.00           20.00\n",
      "25%          5.00     1.00           5.00           27.00\n",
      "50%          6.00     1.00           7.00           40.00\n",
      "75%          7.00     3.00          10.00           44.00\n",
      "max          7.00     4.00          11.00           51.00\n",
      "\n",
      "Descriptive statistics for Nevada\n",
      "       fatalities  injured  total_victims  age_of_shooter\n",
      "count        2.00     2.00           2.00            2.00\n",
      "mean        31.50   276.50         308.00           48.00\n",
      "std         37.48   381.13         418.61           22.63\n",
      "min          5.00     7.00          12.00           32.00\n",
      "25%         18.25   141.75         160.00           40.00\n",
      "50%         31.50   276.50         308.00           48.00\n",
      "75%         44.75   411.25         456.00           56.00\n",
      "max         58.00   546.00         604.00           64.00\n",
      "\n",
      "Descriptive statistics for Ohio\n",
      "       fatalities  injured  total_victims  age_of_shooter\n",
      "count        4.00     4.00           4.00            4.00\n",
      "mean         5.00     9.00          14.00           30.25\n",
      "std          2.83    12.36          15.17            8.77\n",
      "min          3.00     0.00           3.00           24.00\n",
      "25%          3.00     1.50           4.50           24.75\n",
      "50%          4.00     4.50           8.50           27.00\n",
      "75%          6.00    12.00          18.00           32.50\n",
      "max          9.00    27.00          36.00           43.00\n",
      "\n",
      "Descriptive statistics for Missouri\n",
      "       fatalities  injured  total_victims  age_of_shooter\n",
      "count        2.00     2.00           2.00            2.00\n",
      "mean         5.00     1.00           6.00           41.50\n",
      "std          1.41     1.41           2.83           14.85\n",
      "min          4.00     0.00           4.00           31.00\n",
      "25%          4.50     0.50           5.00           36.25\n",
      "50%          5.00     1.00           6.00           41.50\n",
      "75%          5.50     1.50           7.00           46.75\n",
      "max          6.00     2.00           8.00           52.00\n",
      "\n",
      "Descriptive statistics for Oklahoma\n",
      "       fatalities  injured  total_victims age_of_shooter\n",
      "count         1.0      1.0            1.0              1\n",
      "mean         15.0      6.0           21.0           44.0\n",
      "std           NaN      NaN            NaN           <NA>\n",
      "min          15.0      6.0           21.0             44\n",
      "25%          15.0      6.0           21.0             44\n",
      "50%          15.0      6.0           21.0             44\n",
      "75%          15.0      6.0           21.0             44\n",
      "max          15.0      6.0           21.0             44\n",
      "\n",
      "Descriptive statistics for South Carolina\n",
      "       fatalities  injured  total_victims  age_of_shooter\n",
      "count        2.00     2.00           2.00            2.00\n",
      "mean         6.50     2.00           8.50           32.00\n",
      "std          3.54     1.41           2.12           15.56\n",
      "min          4.00     1.00           7.00           21.00\n",
      "25%          5.25     1.50           7.75           26.50\n",
      "50%          6.50     2.00           8.50           32.00\n",
      "75%          7.75     2.50           9.25           37.50\n",
      "max          9.00     3.00          10.00           43.00\n",
      "\n",
      "Descriptive statistics for Hawaii\n",
      "       fatalities  injured  total_victims age_of_shooter\n",
      "count         1.0      1.0            1.0              1\n",
      "mean          7.0      0.0            7.0           40.0\n",
      "std           NaN      NaN            NaN           <NA>\n",
      "min           7.0      0.0            7.0             40\n",
      "25%           7.0      0.0            7.0             40\n",
      "50%           7.0      0.0            7.0             40\n",
      "75%           7.0      0.0            7.0             40\n",
      "max           7.0      0.0            7.0             40\n",
      "\n",
      "Descriptive statistics for Tennessee\n",
      "       fatalities  injured  total_victims  age_of_shooter\n",
      "count        2.00     2.00           2.00            2.00\n",
      "mean         4.50     3.00           7.50           26.50\n",
      "std          0.71     1.41           0.71            3.54\n",
      "min          4.00     2.00           7.00           24.00\n",
      "25%          4.25     2.50           7.25           25.25\n",
      "50%          4.50     3.00           7.50           26.50\n",
      "75%          4.75     3.50           7.75           27.75\n",
      "max          5.00     4.00           8.00           29.00\n",
      "\n",
      "Descriptive statistics for Iowa\n",
      "       fatalities  injured  total_victims age_of_shooter\n",
      "count         1.0      1.0            1.0              1\n",
      "mean          6.0      1.0            7.0           28.0\n",
      "std           NaN      NaN            NaN           <NA>\n",
      "min           6.0      1.0            7.0             28\n",
      "25%           6.0      1.0            7.0             28\n",
      "50%           6.0      1.0            7.0             28\n",
      "75%           6.0      1.0            7.0             28\n",
      "max           6.0      1.0            7.0             28\n",
      "\n",
      "Descriptive statistics for Florida\n",
      "       fatalities  injured  total_victims  age_of_shooter\n",
      "count       12.00    12.00          12.00           11.00\n",
      "mean        10.50     9.08          19.58           37.36\n",
      "std         12.65    14.89          27.18           12.55\n",
      "min          3.00     0.00           5.00           19.00\n",
      "25%          5.00     0.75           7.00           27.50\n",
      "50%          6.00     3.50          11.00           41.00\n",
      "75%          8.50     9.50          15.50           43.50\n",
      "max         49.00    53.00         102.00           59.00\n"
     ]
    }
   ],
   "source": [
    "# Descriptive statistics by location\n",
    "states = set(mass_shootings[\"state\"].tolist())\n",
    "for state in states:\n",
    "    print(\"\\nDescriptive statistics for\", state)\n",
    "    print(mass_shootings[['fatalities','injured','total_victims','age_of_shooter']][mass_shootings.state == state].describe().round(2))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "038977cd",
   "metadata": {},
   "source": [
    "# Mass Shootings Frequency Plots\n",
    "### By state, year, state and year, race, gender, location_type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "id": "1d2b8d92",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Mass shootings state frequency plot'}>"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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BjQklHgRBUGNm2cE+VYgBQUEQzOlETTwIgqDGhBIPgiCoMaHEgyAIakwo8SAIghoTSjwIgqDGhBIPgiCoMR2VuKTTJT0l6Y7ctsUkXS3p3vS76MwtZhAEQVBGlZr4mcBWhW0HA381s1WAv6b1IAiCYIjpqMTNbCLwXGHzdsBZ6f9ZwMd7W6wgCIKgCgO1iS9pZo+n/08AS7YSlLSPpEmSJj399NMDzC4IgiAoY9Adm2ZmgLXZf6qZrWNm64wZM2aw2QVBEAQ5BqrEn5S0FED6fap3RQqCIAiqMlAlfhmwZ/q/J3Bpb4oTBEEQdEMVF8PzgRuBVSU9Imlv4EhgS0n3Ah9K60EQBMEQ0zEUrZnt0mLXB3tcliAIgqBLYsRmEARBjQklHgRBUGNCiQdBENSYUOJBEAQ1JpR4EARBjQklHgRBUGNCiQdBENSYUOJBEAQ1JpR4EARBjQklHgRBUGNCiQdBENSYUOJBEAQ1JpR4EARBjQklHgRBUGNCiQdBENSYUOJBEAQ1JpR4EARBjQklHgRBUGNCiQdBENSYUOJBEAQ1JpR4EARBjQklHgRBUGNGDXcBZjbjDr6i37YHj9yma5kgCIJZkaiJB0EQ1JhQ4kEQBDUmlHgQBEGNCSUeBEFQY0KJB0EQ1JhQ4kEQBDUmlHgQBEGNCSUeBEFQY0KJB0EQ1JhQ4kEQBDUmlHgQBEGNCSUeBEFQY0KJB0EQ1JhQ4kEQBDUmlHgQBEGNGVQ8cUkPAi8BbwJvmNk6vShUEARBUI1eTAqxuZk904N0giAIgi4Jc0oQBEGNGWxN3ICrJBlwipmdWhSQtA+wD8Dyyy8/yOyGj6pTuBXlYpq3IAhmJoOtiW9sZmsDHwH2k/SBooCZnWpm65jZOmPGjBlkdkEQBEGeQSlxM3s0/T4FXAKs14tCBUEQBNUYsBKXtICkhbL/wIeBO3pVsCAIgqAzg7GJLwlcIilL5zwz+1NPShUEQRBUYsBK3MxmAGv2sCxBEARBl4SLYRAEQY0JJR4EQVBjQokHQRDUmF4Muw+6pMqAoF7JBEEwexM18SAIghoTSjwIgqDGhBIPgiCoMaHEgyAIakwo8SAIghoTSjwIgqDGhBIPgiCoMaHEgyAIakwo8SAIghoTIzZnc2J0aBDM3kRNPAiCoMaEEg+CIKgxocSDIAhqTCjxIAiCGhNKPAiCoMaEEg+CIKgxocSDIAhqTCjxIAiCGhODfYKeMZQDi4oyZXKzq0wQ5ImaeBAEQY0JJR4EQVBjQokHQRDUmFDiQRAENSaUeBAEQY0JJR4EQVBjQokHQRDUmFDiQRAENSYG+wRBzZgVBx8N50CvOUmmjKiJB0EQ1JhQ4kEQBDUmlHgQBEGNCSUeBEFQY0KJB0EQ1JhQ4kEQBDVmUEpc0laS7pF0n6SDe1WoIAiCoBoDVuKSRgI/Az4CrAbsImm1XhUsCIIg6MxgauLrAfeZ2Qwzew34DbBdb4oVBEEQVEFmNrADpe2Brczsc2l9d2B9M/tyQW4fYJ+0uipwT273EsAzFbKrIhcyITM7ycyKZQqZ4ZMZa2ZjSqXNbEALsD3wq9z67sBJXaYxqVdyIRMys5PMrFimkJl1ZPLLYMwpjwLL5daXTduCIAiCIWIwSvxWYBVJK0iaG9gZuKw3xQqCIAiqMOAohmb2hqQvA38GRgKnm9mdXSZzag/lQiZkZieZoc4vZOol08eAOzaDIAiC4SdGbAZBENSYUOJBEAQ1JpT4LIakeUq2LTYcZQmCYNanlkpc0tGSRkuaS9JfJT0tabfhLlePuFjSXNmKpKWAq7tNRNL4KttmNSQtKmk9SR/IloHIVMxrY0l7pf9jJK0w2PIPFkmL9zi9RSWt0cs0g+pImixpP0mLzrQ8hrpjU9IqwI/weCvzZtvNbMUS2UWBVQpyEyVNM7O1JH0C+ChwADDRzNYsHL8wcBiwSdp0LXCEmf17AOVeBhhLzqPHzCYOIJ2VgEfM7FVJmwFrAGeb2Qtp/+eBrfHBVMvhbptfN7OrCumsSeO8/m5mtxX2TzGztQvbpprZe9P/E4GWN9/Mvlo49j30v2dnF2TaXiNJY4BvlqSzRdr/OWA8PuZgGrABcGO2v6pMLq/PA+MK5fls2n8osA6wqpm9Q9LSwIVmtlHxWrR6DqvISNrNzM6VdEAx3STzk0I696bzOgP4o+VeUEnHmdn+kv5Ayb0zs48luQnAx9J5TwaeAq43s6YydHoWk8xG+DuU3Vd5Vs3va5vzr1TmlMbRwA+A/wJ/SuX5mpmdWyWvtG9eYG/g3YX9ny3mXYVO975TfpJWBvYCdgIm4ff1qvx9TXJt3422dDMyqBcLcB3wQWA6/mAchivWotzngNuB54Fr8Bv7t7TvjvT7K3zoP8BtJWlcBBwOrJiWQ4GLCzKfBO4F/g28CLwEvFiQOQp4ELgS+ENaLivJbwPcf/4/wGvAmyVpTcNfhpWBfwLHAFcWZPZLedwOvL8kn/HAHcARabkd+Erat0s69nn8A5At1wB/zaWxZ1pOTffkK2mZCPyikN+h6fgn8YfwCeB33V4j4Cr8gf8HsClwOnBUbv/t+AM8La2/s+R+dZRJ229IZdoR+FS2FO6DgKm5bdO7eQ4rPqv75q5hv6UkPwFbAucD9wH/D3hH2ve+9Ltp2ZJLY2quXIe3ObdpdH4W78aD3L0NWDxbujj/SmXOypN+PwGcBixM4b3udD+AC4HvA/fjz/dVwPEVddOUAdz7SvnhVo+P4QMi/4XrpcWqvhtty11FqJcLMDl7GYvbqr6swJHp4ZoKzAWMAW4ue0g7bUsvyrs6lPkeYJ4K5zYpvRBTcd/5vYAflT0owDdoKN6peGsiWw4EbgPOybYV0pgOLJBbX4D0kuIfxs2AGwsvzNrAqJIy35Tfnq7nTSX3YkT2QgFLAld3e41y9356btutxf+4cpkn/b+zkEZHmVb3vrD/lsL9WIByRTfoD0t6Fr42gHdlc/ylfwFvRW5Y8bjbgaVwxbBu8Zp3ehYLMv3eq4Fco7R9brx2vTowd8n+jpWzCtd6av58y57nLq5/lXvfMb90zj9N78gJwPr4Oz4tJ9P23Wi3DHiwzyB4VdII4N40WOhRYMESuf+Z2f8kIWkeM7tb0qoAZnZwanr928zelPQy5REU/ytpYzO7Dvqahv8tyDxpZv/oUOYZ+M15tdPJmdl9kkaa2ZvAGZKmAt/KibwuaRf8q71t2jYXsFAhqYvTb3E7eG3tzdz6m2kbZvYQ8BCwYaeyJhYFRgPPpfUF07Y8/zWztyS9IWk03jxfriBT5Rq9nn4fl7QN8BiQ77R9RNIiwO+BqyU9n86FLmUALpe0tZld2aIsF0g6BVgkmbA+C/yyRK7lc1hVJj2ju+AvcluSTXw3PBbRk3jr6DJgLWACsKCk2yk3TWS27yPwQXjXmdmtklbEW5tFWj2LSMpMcddIOgZ/HvvurZlNqXr+Kb1tgF/gNVYBK0ja18z+mBO7XNLd+Dv6xWRi+F+hzJ3yyp6xF5IJ8Am8FZGVY2VgSTO7vlC+jYAnzOz+bs6rQn6T8Y/wacDBZpZdw5tTnsV0Wr0bLRkOJT4emB/4Kt4M2QJ/iIp0elmXBj6UbFIZTTZa4IvAWck2LlxRfaYgM0nSb1M++Yf04pzMK8A0SX8tyDTZjYFX5CEIpqWPzOP07zzeC/gC8EMzeyB1pp1jZkfJY7QfZWZfL16MAmfgD8Elaf3j+EPSh6SXaLzoc+Mv58tmNrqQ1pHAVEnX4NfoA7iJK8+kdC9+idtY/4PX9JvOnc7X6AfpXhwInIh/PPbPyX4i/T0slWdh3DZKNzKJ8cC3Jb1G4wWx7PzN7MeStsRNaKsC3zOzsg7kXn1Yrpd0EvBb4OXc+UwpyN2It8A+bmaP5LZPknRc+v/RknL2YWYX4s38bH0Gbk4qUvospn3HFmTXyWeBv7cZVc7/WGBzM7sP+uzxVwB9Srxi5axTXqcmO/Z38Y/fgsD3cvuPo7lSlfFi2rdtbluV8+qU3w7p+vfDzD6ZWy17N75WdlyRWozYlLQp6WU1s9dSp9RmeCfAlbjN7joz277F8dmL+2LJvjNKDjHLdYRIKvvIYGZnFdIai9dS58JvwMLAydmDWwVJN5pZx1p0qiltnFb/bmZT28gKfxk2MLN+MzBJejvexANvPj/RJq1xwGgzm17Y3vEaSdqorAaU35Y+ZEvS3Bn5r8IxHWWqkO7XKmb2F0nzAyPN7KU28k3PYTcy6YNTxKx/h+w+ZnZqYduRZfetTTkrde5JGm9mx3fa1g1tzv9WM1s3ty7cpLVu4fiOHeglef3RzF4vkyk55tZinrl9t5vZ6t2cV4X8lsT7NZY2s4/IJ87Z0MxO63BoZYZMiat6z3rbJoSZPZeak2vi9qg104U618y2TGmUegLk0vhJu/0zA0kXmNmOJU3hrLd/jST3c2AZvCaVr7FdLGm0mb3Y6hqZ2XNl23NlmGrJO6WwvdSrRNI7UxNy7eIxSaZYi2yLyj1m+rZJ+gre4fck8FYjmz4zQSWZnOzH8JYFwAQzuzy37/N4nPvFzGwludfUL8zsg2l/ledwUPejDElXAr82s1+n9Z8B85rZ3jmZDfDa2rvwVtZIcq0sSRfifUafxk0ruwL/MLPxhbzaejDltm1D/w/CEbn938c7xG8ws5cpIT3XY4EL8Od/B7yD7y8pvYurVM4kHWFm38utj8Q9anZN6/PgrY5xND/PR6T995rZKi3KeJ+ZrVzY1rbCUCG/P+It50OSrhqF662mj0VqBX2lJJ2P0YGhNKdkzbQfd5CbjN9kAcvjPcMCFsFv+gp0ttFmduRVgXVpRFfcFrgln5mkZfEXIrNP/R0Yb2aPdKF4W8kBfbbK7AVq2xTGX5RnaW6uGm6TPC8dn12jpvLgHjjZeeWbaiPw5nDRvoiko3D3pzvJKUX8pTwAV3TFpnUmk3f9a+k6KmlD4P3AmMIHdjSugDLG4y5/z5bk140Mko7E7/2vs+NSrT9rSu+Hz051cyrnvZLelkuiynNYvB/KHV+8H/kmdkMopwwTnwIuk/QWsBXwQl6BJ07Co4ZeiN/XPYB35PavbGY7SNrOzM6SdB7+XGdl2QVX8CtIykceXYhG30gm+wvc/Lk53uG4PYV3CO8P2QU4QW7G+zvu8ntpTmZe/MO7aVp/GpgPfyez53t7GpWzvbLKWSGv5SR9y8x+lBToBbhjQMaluKfZZMr7ZyZJ+ryZNfV/yF1XJxe2lVYY8I7KqvktYWYXSPoW9AUOfLNE7ve4SfQPubyqYQPotR2KBbe/bp1b/whwSvp/Mv4yfQHvsJkKnFGSxkRgodz6QvjDlZe5GrcNjkrLZ0ieF8BS6Xds2ZJLo5JcTn5J/OX/KPC2mXT9zsgtvwQOKcuLip43FfJr6TqKv7iH4n0Eh+aWA3BzRpbGNZR40BTy6SiT5KYDI3LrI2nu+b85/U5Nv6Mo9+Bo+Rx2eX0OzC2H4Lbv03P7F8stY9MzfVK2rZDWpOwcc9um5v5nnjcTgffgM8XMyO0fS0UPJhpeF9nvgrj5ruwc3473df0LeGkA1ygr92T8Ay/g7oKM8I/nt3Dvm68V9t/RIY8lcffTCXjl5Fjc8+dG4O0F2fsouFOWpNcpvwm4W2bmCbQBcG2JXEcvoJZ5DPTAAWfoNd6rcb/UGcAD+QcsJ3d7xW3jgDVa5NWkoIB5gHsKMtNKjptWWF+ApBDwGs/HgLkGeP474p0jZ+EdsQ8A2+f2LwtcgrcunsJ93ZctSWcZvHb7gWwZYHn+CCzYQeaTJcsHyX0UqOA6SvqgJUXQL0+8JnJdekH7XC67lUly02n2w12MZqV3NPBt3OywZbrmPxzEc9jV/UjP4oTc+gP59yH9ZsuMwrETcTPK2ek8vkbOFQ/3b140lWNGeo6+UFKGfn7IxW00PnY34c4E8+Bz6+ZlfoUrxkvS/ViP/h+DFfFa5tOpPJcCKxZkWlbO8A9MtqyPu5j+LNuWS+NUYPUKz/3mNMZGbNFCpkqlom1+qXzX47X163G9109f4S2jQ3GvsrWL59VuGQ7vlNPwh24yzW5yRR6T9B0azaldcbcbJO1tqWPAzB6UNFLSoWZ2eCGNs4Fb1OzFcVZB5ln5kP3z0/ouuDkjz0Rgk9QLfRU+oGenVKY+kgnjKNzFSDTMLnmPkENw392n0jFjcLvg79L+M/Caxg5pfbe0bctcPpkJ5C4a19BSOTOZs3Cz0AtpfVHgWOs/cq2KV8ne+MN1TVrfDL9/KyQb5TlUcx1dSO5yuVgq0zPAnmZ2R9r/r7TMnZYyqsiAm3aKXjf5zsGD03ndDuyL22B/VZJOy+cwo8r9KGF+/IPtwmbdDPnfHTeRfRl/l5Yj531iZtl5TCRn0ilhS3yUYJ6PFLZdLvfQOAaYgp9X8Totjrd0XsDNMc+Y2RsFmfNwpZt5F+2Mv3NZhzpm9qX09xeS/kRzB3rRpPc8bro7lmbT3sbAZyQ9gD/PTabPXF7X0HieWzEDmCDpCprfjXyfWtv8zGxK6hRdNe27x8o7YVfH7+sWNJtutiiRbaaKpu/lQsVmA/6iH49/jaem/4ulfefhL91SeIfLrcCPW6TzPtyOOh54b8n+sbjNPKsh/B5YriCTNYW+AhyU/k8rSavKwKHbC+sjaK69lqU7rbBeZWDN1Irb9ixbCjJ/xn1rs/Ul07bFaAzQWBdX2sviH52LcW+YfDo34G5m2fpmeGfYzHrWlsJbTR+j0FQuedZateZaPodd3o/b8dbBdLz/4SngyyVy+wGL5NYXBb5UkPkgMF+bvMbTMEf8Cle+H87t/2Iqzyu5Mk3Ha/3nFtIqtmQXbnWueEfr/nhL85HCvjJTVXEgz0akQWx45eUnlJgjO1znsWVLxWMvL6wfWrZ0kx9eGVso/f9Oei/61bBx3dFvAFSlcvfypal4oY7Ev+pdNxsK6eyEzwj9ELBRB9m34Z1TywPLFx+cEvmNCutTU3lvAt6dtpU1qa+vUO5jcAX4mbT8keah539ND/DItOxGbrh8kqliArkNWDS3vlhZmSte67sK68q2UfJhaFemFuU8Lv3/A82hAi4jDd2vIlNId+2SZSVS8xi3VY5O1+UBvIPzpwO8PlXuR/4lX4YWzXTKP+JTC+tn4c3ym9LztG3hXmcja/8PN3G8m9yQclwRj8NrwvlyLVaS95RO2/C+naNwu/I/8I/4ZwsyR+Gtn3Epr4Pw1lKfzR//kIjUuYl/0K4tpNP2A5Vk1sRbKV8G1uziPi41kPufji3VMTT6EjbGa/7bUD66/PcMsH9sOMwpWfOpdPBAFVfE5AkxHrcXvwvYPblGvZKXTS5mx+K2vKfwC3w3/lBnnIi/4LTZNh63wV5iZnfKR8BdU3JuHQcOmdk3JH2KhjfMqWZ2SXLB+iY+cvBEfHSf4bXXLNJeFrSqignkWODG5G4mvOf/h8UCt/MqyYlNkHQ5jQEkn0rbFsCb0LS4X//GQxGcYmb/A2ZI+i4NT6Xd8CZrFc+lqt5NGSfj9zBTDO/Ba8ALS/oisLC5e+DncBe1QyVNLyaSzF0H0d/FLt/M7Xg/zOwhNQctm5jKVmSkJFl6s5OLW5PZyMz2TPuWxu/rz/BnPHufMy+ZrdO53SlJueP/jd+bXSRtjHcunyFpCUkrmA/8eTv+sZmv4GI6GjcF5dkK90g53sweo5wd0+++he070/DkecPMTNJ2wElmdpqkomfOZ83seEn/h5txdsefjavSNRmPBz7L3rlzJZ1qZicWC5TuLWb2dPp9vGR/23tfomPG4h+yTMdk5rVtgF+a2RWSflByfRYB7pZ0K83P0CzlYpg9kJeZ2U/biFV5Wf+AN0X/kh7OA3CTyrsLct/He4P/YmbvlbQ5rjjowu0N86hlE3PrM/Be+CKj8Rf6w/nDaTxQ2fEX4R+gPDNwO/OhbW7cpPR7F16TNOAN+ocSwMzOljSJhk3tk2Z2V0maZ+DNxJ/inT17URhlamZfSh+ebHDR2cBFSdFsniv/GBp9CzvhwcTegXt47I5/oA6ncT0m4i/l8ymfa1ucN2Y2uZNMgceAvS3N+yofZHEE/lJejCvLpXDlckibdH6Nj7L8KN7htiduesuTtQhaUqJcft1CufwJ+K08JAC40msakZr6cDbB7ajP4F4sf8+JTJZ0Fe4G+S1JC1HitqZcJEf8OZgbt/1vhNfiP4Obx/Lv4kt4h3AfZvbl5A64blL4t1jq88nJVLH5v5Rc8XYDPpD6WOYqyLT9QOH9HOtb8ldP/RU34hWjbJDRoXgtfUTa9AZwovV396xy71vqmMSj6V5uCRyV3CJH0J9DW12Ujgy0+TCIZsctFWRG4gMeWu0fXbLtHSXbMles22h4l2RNzU2p4PaWpY33Ql8F/C1bBnj+n6RF1ES85vNbvKNze3LeIGn/XLg3wjO4wp+S/h9D8pbJrg3NLmt9S0l52nqVpHtxd4Xz6hesh0awqrIAVSNzZc3bi/PL7TSaox1lCun3c/2iYb+fhtsqp+MjasFrghe1uT5dByYqpDOdFkHLCnIjcJv179KyLz6SNC/zDG7+2QsY1yKNtUm2dbzGWuYRMQ3KIznS7BJ5IP5e7A6sUJLODrTwuCJ5flDu4fTJQjpvT/lsktaXB/YoyJyBv4f34i2ChQrP6+344Khsfd7Cs30A7h23Qm7biriJs+iu2PHe00bHpP/zp3NdJa0vRcH8k5MdkOvxcJhTOsaQMI+bMFbS3FY+xHU+ST8FljGzrVIta0PcTpjnBUkL4jW+X0t6KsvTvEZ3raQzzYNGteNCPHjPr2jjUaNqw52PBra1kqBbZvZo6gn/IW7nzPdSX5yOXRB/AF9KeY7Ga0rH4J1KlQcEJdp6laR7cY+k5a390PYF8zKSls+l81radh5eo3kTbzmNlnQ8nQdAUVEmz53JRPWbtL4TcFeqCb1u1eOLtAxMpGqDvDJEi6BlhWPeAn6ellLMbAlJ78Y9bn6YTGL3mNnuWRqSngRWk48QbMVrZmaSMtPNArl9ZUHpxgKHSDrMzH6T2/4dWntcbYpXerYtJkahlWoe7uEnufV/0T8e0t54MLAZZvaKPGDYXrn9Z9A/rtDpuf27A1ua2TO5fGak1s1VNAcpqxKUqqWOSZaHKWb2zlxej+MVxyYk7Yi/wxPw5+JESd8ws98VZfvRbY1isAtuSy4u/Wq1+M27FQ8scwA5f2C8I2lHGrXqUZR3NC6A10pG4U2hr9I/FnJZR9k5uB183vwXucK5dYwtTIvOT1zxT8SVTmkHC177UMn2kcC9A7wfVbxKJuIthr/SojMRb97+K93PCXjNbJt0D/ZPMtPS7664HXEuCrVRKtRGKsrMh9cgL0nL1/Fa0Yh0vkfj5q+50nk9DexWks5H8Y7A96Rzmwx8LO2rPMgrPb+34YOgDsdrwfuX5PcAbppqWgoyo3FXwCNx3+N7gLNy+6vGv/86cErK4/O42eErHZ6XxejfsdnW46qLZ7FlK7Ugtyjui17qk4+3Qr6alvcW9rUcnFPc1+7e52QWwN+/Uh2D+8MvX+Hcb6N53MUYShwBSo8dyIs/FAvl7j1ZgPusmT41Jz+tcPxI4JoK+RyP1163Tcu5eKfYz/DogqQX70t4U6idaWJq+m0XW/h4vBWyC81Ny3/QopmVO/afVfdR8Ghpta3ivdi0bCmRmwf3DFiTXJM2t//OdE0uzI6nuenZdiBUVZmc7Hz4EP2yfdPS7ydoMQFB2j+mh890S+WSk1k8tyyDt66OKMhMT8/opykfCFZ5FC5uqz0Gb81tWfGYqYX1th5XSWY8nb1KqrjodpoU4jRgrcIxh+X+9/O2qbJvEPe8YwUoyQ34Qzjk5hR5uMVDaQQmupaSKdMsDdxJTRXM7D+SpqRjX07NKEsyG+Bf7/zxb0p6S9LCxbQLvN+ao5r9QSnSmaQ707Y90+838lnQ3zTRNrZwolXn51rWiDXcirsk7WH9p0XbDfe6yUw68wNLyAf4ZE320bhSyI4p9f7pK1Cuc9XMrs06rtKmvo4rSVuY2d/UHKsFYCVJWHNI31PwGuJtwER5FMEXc/s7DYSqKpN5DRyDd9atIGkt/DnLzit79rfBp2X7d3P/WB/XS3oQ//BebKkTtpDXS7T2zDnQvLm+Et43MCV1fm0i6QHLTYUGYP1jwhwnj0n9vZxMv2BfBWZQIf59Mp/8zcyulsfJXlXSXNYmImAqe9M1sBYeV4VD23qVJKrE9h+PP4c3mdnmkt6JRwnM+D9gHUnH5t6Tj9EIr7ympPwz13dqJBOopIPM7Gi1mMLQzL4q6Toz27jk3hcH+H23w/lk/EnSn2l2DGgVC7+J4bCJn45PLZa5HO2ON+OblEBSgufQPLpvvrT7APyLtpKk6/GmR1kY2v8At0u6mmb7e96zpKMt16qPpiuLLdx0E81sr7IDK7IfPpHyZ2kE61kHvy7ZSLh98drb0kkm00wv4l4MGVVd9TrZ6zalus3zBHxmk4yHklLIGGHNXg3P0r8nv4oM+Md+vVRmzGyamidCrjIBAebzb66Hu8IdIuku4DfWPO/jccAjeItOSXYlvLZ5Oj6o6SJcuayM969cluS3zuenZne+Efj9HVWQ6eT6VjX+/UQaI5H/hH90dgJ2bWHnXwy3C+9R2I6Ve1w1FTv9tvIqgWqx/TtN1PAU7jF1rqT1caWfd69s8jxrQfYhmdRKwMw2Tr8LtZJJ+69VScjjErkqH8JShmOi5GlmtlaFbTfg4RuvSeub4U22LArdCLz5LvyGv2n9J53dkxKsOcb11hRmHMFNJxOAz5vZcfLZ579ILqwp7vvcVGNRY0afsvPu+HUvO65FWlvQcKe8y8z+WiLzFSvxjS2R2xa4wrxDrZXMbXhTu6n2a4WJqSvk1Ta2snwGmTVoro1MN7Nv5tLoKJPkbjKzDdQ8OfR0aw5ruxiNCQgWwEfWtYulvgTe8bZrXhlIuq14LdSYzPs28xCkU8xsbUkH4VE4T1R52Ndrcqtv4OaiY83snpzMVXjL4OvkXN+ya1DluU9yWZm+go8APTpX7rHFw4FnLRdqtkULBErCTcjj9i+Dv19r4opsgpm9ryBTUuym2P6X4B2Z++Pus8/jnllbp/35+30Y8CH8eSu2mnuCqk183jLkcS8Yjpp4lSnTwN2x+h5oM5sg96JYkP69+sXBB9kxZ8ln2snCdPaLW2BmV6YL+86cTFYjOy79/hxvnp6c1ndP2z5XyPIBecyH3+LN1PwD3vHrDiDpg/hQ9LJrkpU5c3Nsx1uSFrHm2Cm7mNnJBbmd8Cb7RXhUvbtL0upY+1WHuMqJM0mxldP6P/FrdVqqlZ2AN5Uzf/Sm2kgVmRx3Svo07g++Cm6HviGX1vz4x3p5/CVbGveXvjyfiNz75xM0ateX4DX8PK+k1kpm0tmeRq0+ewayqdD2oDAVWoG9rTATTKEFAd5xdpp8AofMy+rWbGdRWbdB8vESu+JeH5BqidbZY6tjLbRA0atkMZq9Siq1Uq3zzE6X5WQPk5uivtZFObsyNdLcwjoV78jMt7A6hTzO8vwkneMutSzQkC74V/g23Db6ID68tsyH9RLcFDEuLd/BYyt3k9dmeCfYtXjT8QFKosvhg34+jb9ge9DfN7V0uHjJtvlxM9HFKd+TgI27LHPbIdVdpDOtZNvUFrKjcTPMTbiHwj40h/At67g6upBG9vE6iJx/cUGmbYc0FTpyqsjk7sUPcQ+nW4Ef0Ow/nJX1jpx82TV7AHc7azlJMY0Ifc/gXi5/wCfMni+7//iI2BPwDyl4jfSbJWmVDXMvRoO8Kf3+Gbfpvxe4P7d/FfyDchctPFyS3Ka40vtm7jxO6PZZq3g/OsZFwU1D++GVpdOzJbe/0piFHpR107RkTgiZ08N5FEIz0GGyaaqHPO7YqduyvDP7guQKOT67mel3NCWDdnLyi6aHfkpaji87+Q55TibnnYDXyIsvxDl4De1kfFTXicUHOeW/Um59xbKXraT8Z+NmHmgR84PWvdVL04jN/MYArvft5NwR0wvQb9BNbv/ieBP1QVxJ30vO3Qzvs/hJWj5RcnzbuMpJZgJtYivjH7B1O6RRRaajZxKNQRpTc9vKPsyZyXH+NnmVBl/r8GysUdj2Trwlcz/NXkufKd43Ori+0Sa2+3AtVIuLUsVFt9RlD58BCJJbYm4pdVOsWOZJnbbhNexd8H6+FazwLlA95HHHuEutlqE0p+yFK+IT8YBXZT3EfZh7ATTZidVhyqwS5rKcLdHM/pns23nWAVazdCVb8A181u8Z+IM4lkJTMFfGTXETxVa46STrwK3UkajOQ6qr0nH4dspvO1xRrIx/dNYzs6eSueEu0nBlXFG8aKlzRtJC1jwf5Q2SVjez29uUqVOH9Pp4p9pDeEd01qRcoxsZq+aZ9Jqk+Wh4OK1EuTfHBpJOw814y8vjn+xrKWxqymvjkuOakDQB95IYhV/LpyRdb2YHJJFVceW8CM2dxC/hPtx9WGOauX/TCHuQZz4z+6skmZtFMrPC9/JCyRzR77m3wryfPaJKXJS2MxIlFsVNZbfQ7KxQqaOxSxaQtKIl81Yyay1QkNmL1pNNQ4eQx2p4dVXp1C1lKOfYPB9XmEvjX9q+XeRewi7tUZ3yPB0f9ZiPBT3SmjtKLgS+aoXgNyVpzYO/aOB2834vvNwVbSo+ZdRl1mK+wQ75PINfn1/gtckHu00jpTMCf2iyDpSrgV9ZoeNV0pl4k3ViSRofTMqgZeeMGl4Mo/Bm/AzaxHGWjyAsja1c0pkGNNtnq8gkuUtxM0OpZ5J8pvvv4GaOq/Dm/mfMbEIhnZvxD81l1ugwu8PM3pOTaTkvak5mqnlsjc/hoY4PLXa0JrkNzezGsnNUi07xknO7Ae8z+B3ed/IocKSZ5b04kPS+3Oq8eEvgDTM7qFUeA0XStXglYi/cQeApvOWzek7mFjNbT9JEvL/iCdyddcWczKZl6Zt7gWStzXeWyQygzFvhdu585W1fM/tzL9JPeZzRZrdZ//j//dMYKiUOII+M9me8RtJE9hK2ukk5uWu7yG8evNmW1ZT+jsfKeDUncw3e4XILLaKHSdoPj+XyQlov7SRUmji3RVlKh2bn8st7TWRDqjfGFWPfkOpuSDXN5fOtkcL+kbiXSVltLi83jdQ5k1Nkt5vZ6q2UakaJcn0//Ts/i37vb6PZda7fcP9OMvJIhaMoBAmzZs+kxXGTjnA78zMUkHSzma2vZq+HJm+UFi9i0wuY7v+HcXPQIWZ2awslPgaveY+j+Rp9Vs1eJ4dTCJqUnZukdfGO9EVw88TC+OCbm0vKWTzfW8ys2HE7aNK7/2m8X+TvclfezfL3Pn3gLsJboWeSXHTN7JSStNbD7+2tlvMoSh/vr5Q9MwMs9zw0nB7uLlbe5JNBlL3XL7fYDq5n7gd+ZGa3DbaMQ+qdki72mh3EHujVDUgXPLPjtuKwCkl93sx+lkv3+VQ7PRmaa0gqGTCSakiVYn/IvSGWx7/64/AXsKX7X5t0Og12qWp2AHjVzF7Lzi3Vpi2lkX18N8BrQfmYLu/CO3iz487BPTym0TwDztm5MrcL69lRJpXt/+EREx+CvomOz6AQfQ//CDyPvweryQcnFVskD6cPj8lNceNpeBpl17GK7/8ReAXmuqTAV8T7HYpcilc2/kIhTk/hA7S/tfZCecvM/oOPk9gryfd7/tRsnhyBT6CycIVz6RprExdF0nJm9rCVzEhULHdS9N/DWxjZmIUjzCyLj1JmbjEz226ARX8fjQ/qmukZyVc68iG158WDgS2GjxxtxSi8P+NMvLWIqsVdKmUozSlVZ46fYmZrp/8XmVlZUKJOeVWu9XaR3hqWLlaqwU43s0xx7Nnu+DYvW1le0/GOqevwSZ0f6aasuXQm4360E4q154JcW7NDkjkajxu+Bz670Zdw//RDcjJT8b6O7BqNwDuB1s7J/IM2/Q9yf/QtKIT1tNxs751k5IHRFsIj0hWDhL1iZvunbdmUaneSCzRmBXOd3Df8eNzfWLjpZbyZPase+v7n8ptmhTETLeSm5K9tcR/uYXVHWt8Zvx7rF+SyWqRo+KQfYcn9txeowshG+aCrraxgOpS0F/AdM1spt+0efJT1s2l9cdwld9W0nm/JC+9f2jl7V7sse2mlo9N9lTTZcv7vbeQON7ND0/8L8c7PT+Mf/F2Bf5jZ+E7pDGVNPCtMpxppvio7UAf9jrXeKg9XblvbTsJcM7Zlx15JPqX55T5m81thkosued36DyUvy/9iCvHOS8h3zuyDDw76VUGmbyIDAPNIesXn6w483Gir/ofXk3IcIWmEmV0j6bguZT6KhyXOl+XFZF65G/fAAY9ut2qxeVwkmVh2bbH7C3L7czFiZB8DUPSXS9razCoNuW7B9sDv5H7ym+Af3w8Xhay7eT0HhFXrcDwAuErSNmZ2L4A8rvincVe/PM/inb0ZL5GbE9fcNv7edOwO+IfpFwMsfkenB1UYYduKTIEnqnTqljJkStxSx6F1HkRgLf53k1e+CV8a86Piw5XxTVx5fTGtX035pLonJxvambgNvc9EUTEf5IMvWnpDdEHbwS65crVsJcg9CZZNpqRfJhPSGOB9kl6w5jCZMyR9lUYI1S/hHUJ5lsDjv7Tqf3hBLcJ65ugkY2UvXTId5be3jS8i6Xtl23N5fB93gT0GD4x2AXC+mU0tyFYa5JVjPPBtSa/hYR/yNdZ8RWB+NWKAFCsCM1Lt+/e4i+qHrcXgMVXoo+gFajOy0XzA3avAHyV9HB9Etx4+puP5dHzmxXMfHmr2UvxabAdMl/QO3NVvF9yr67d4xaJtf08HOlU6oHkC5zdwF90dy0XbUiXuUilDaU6pVBOV9CYN17H58DgQ/eQq5lmM+bEJ0C9GbzKPLEnzg1xql092xGWtMQt3cf8quD12B7yz9Ewzu6pMtsXxHb0hKqYzPz4y8sP4uf8Z+L41RqPmy1s6PZvcDXBnM3s4yU7DTRkLAmdYbuiwvKPxhLTf8Kht+1tupKfaeBak/QvgHZAj8NrvwvjH8NlcGm1lJP0eD1RV7CzdDdgx+2DIR6iumcrZL76IpANLiroA3iJZ3Mz64m3LO3d3Tst8+KCQ87Na5VBRYkZ8G+6G+Cr0NyMO1FwwwLJNw2up43A3u0vx+Wq3zslsgvtR34Dfq//l9jV14pZwKF5z3dvM7kvHzLBBDLdXBaeHCml0HIGd5LJO3TXw/psFge+ZWcdWxJDHThlKVCHmhzxuxKHAkzTbRvPeIhMo+PjiN6Z0OG/6KHwcV2ov4kr021bF57OCN0QvkXQdjenZtiVNz2Zm31OK5piTPcnMvpz+32RmG/SoDCsDS5rZ9YXtGwOPm9n9VWTS+jK4eei/lAQJM7NHk1xpP0ZZy0Q+vdl4XIFfgMcyeaool2Tfi480XMPMRkq6rEwul1/RBi/847SCmX1f0nJ43PJb2qWTju3WU6htH0UvUSNOyzfwIFZ9sWNyFTzh8ZBepzFpRmnFrWhuTDX4nXFX0T/hcfl/NRiTUadKR5JZmDZRWSWdhU9Y8xz+kZmId24/P9ByFRmO2ClAX82trRtZD6gS8W48bhsthgDNs7BVm1R3DVwJboObXLY1Dz26ND6cvaMSp4I3RBVS8/Lr9G8qFwdytBsYsmheMFPgiTEpn8o2X7WID4E/2N8qHovXIo/DPy7HVZAhKen11Rwk7EorBAlrZ0bKlXcx3F67K+4auHbZyye3/X8EVyIfxFt+h6XdGwIP4wG7bqa5z6eMk/HKxBa4e+B/8Nj267Y7CFxJqztf6Srmgl6RxY7Zk0LsmKqmRuhobvx9aqlth/d9vE3uw39JN63hDKvmznw6baKyWodJrdU8v29ZGdp51gHDoMRVwY2sh1SJ0fswhVjkJYxStUl1T8Rt5d/ON5/M7DFJ36lY5i/g3hDL4IM0rsJ93bul0pRytJ+e7WZJnzezX+YPkLQv3sSE7my+pVPTpRp/vw5hM7td0ri0umQFmfz2tkHC5IHXDsOfv1E0an2Za9sx+It4KrC6ucteMY0tcRvs1vj1+A2wjzUP8no7Ptx6F7yz7Qrc1HIn5ayfaqxT03k8Lw/iVgmrMJ2eGgPqFqJ9H0Uv6TSysSrH4THDLwMws9skZbVg0rU/DzhPPp5jB7xPqxuTZuXojHg4jrwH3eHJdJSl1WkE9qBHmA5HKNqObmQ9yKOv6Z1qf9lgnxdw++n9uS/gu/ERhFfQ/CD/JJfeDngwruvMZ35fETjG2rg/pgdouVa285mNqrs5lQ0MOdrMbkqtpd/j12VKOuR9eJP342b2ZJdlut7MNirZfq+ZrdLimPvMbOUqMl2W5W48ut1kch+5nG39Lfy836C1a9zfcIVxUZXmsbzTexe8n+ZwMzupROZmPCDbrUmZjwGuskLI2g75TMTdRkt9pVuZCWgIVh5QNxAG824MtbmxQnluxPvZ8lFZf2xmG6b1SiOwJS1mZs8Vtq1gZg90LMMwKPFJZrZOUubvNXdF6+lNkHQ58K1izU3S6sD/M7Nt1aGjxNLMQl3mO4H+tvN8fIx2x1bxhuimLIel/C+h+eP0XKtj2qSVN03cmWq52b7KNl/5pMhvpxAfAq8t/a2kxv85vE9jJ3nYhrYyXZ7TzVbwm55ZJOW9Da7Ax+G1yNMz+3xBdle8xbg2bsLZHveVvrAo2ya/Sr7SqTb8uKUORPkI3yVbKZrBMJh3o5DO7/BBQyfhcXTGA+uY2c49LXD18qyJD1rKBkk9D+yZ/0CpwghsuRPBRyyN+Jb0LnzGqY4ODcOhxP+Cd/r9CHc5ewqPSvf+HubR1CFX2NdvwEtu3whgwdyF7MrHVxXjY7TIu7I3RBXkAzlKitxnLuiqw61NPk/TxuZrzZ1ApcPTcVv3JbhLXb4zcm68M/IJuatoW5kq5c2V5Ug8AuHFNH/kprQ8aABIOhsfnXclPiPQHS3klrOGF9A7cdu6cO+ZlawR9KpqvkVf6YutMEmIpEn4wJnX0vrcuGLtaH/vlsG8G4V0Wg6+6nWZuyxX5t75onw07XG57Rvh/u6b4DrvpsxWnjt+Gzw08ja4ZeBsfPKRaR3zHiolnpk4cHemvIvYWHzwyOTWR3edV+Wmt9yp/gt4k/pWPETu8WZ2jKTv4q55a9Dw2e3D+s+UUik+RoXyV/aGGCjdKN8O6YykYfNdg84233ZpbY4rPCjU+LuRqZjXNSWbzXocwS+ZZfpMGvldNLvWthq1+Fn8WVqJDqjcV/rrZlbqtaLyGbVmimmiV+9GHZD0LzNbPv2vPAJb7mFzEG4n/5SZ/bNKfkPZsXkcbuLIHui3gLMyEwflczQOlEkq75D7HI1aXMZq6eu5Kx5H++AkcwzeRDoOjwEyHbge92G9oYVZomp8jFJU0Ruii/TaDeTotsOtFPOoiH/CO5Ezm+8E+ZDik1I5KrVozGdyKlOuedmOMhXLPZhBIN3kU/SGakXZqMWD8WehrQ07x914p9lHreErXeoGm3ha0sfM7LIkux2u/GcGg303empunMn0VYiswwjswjshXOfcD3xZHqelo8/+UNbEB2TiGGBelZve8hnt18I7qE4yH7ZbjFI3dzr+/bjL2Ib4LEOr9bDMeW+In1mJN0SX6VUeyFGlw61DXm1tvpK2NbM/qAvf7JmNOsz3ORzIB4acgpsbs1GL21T9kKtLX2n5KMpf455iwltme2QfgFmJXpsbZyaFmnifS6SZ9RuBnXsn5qNR2SqNutkyvyFU4j31LqiYZ5Xm+VdxF6TbcEW0PHCumW2Sk1kYV9wbpd9F8GnC9iqk1TKMaIWydvSG6JRGIb2OAzm66XBrk0Ylm++shqQ/kub7NJ/IeBQ+y0/PKhMDLFfLUYtdpJH5Su+Ce4KdTRtfaXkYAwZbcWiR9swIEjbTzY0VytDODXE+M8v8wNuOwJaPBfkhPso7cwnti7pphTmBS8syhEq8p94FMxNJo8zsDUmn4l4ZL+F245vwTonSmpE8GNLf6e+2dtHML3W/srSd7KJXyreKzbdXnai9IHdvbzWzddXsqlYpguBMKlfXoxYrppv5Su9kJTOspw61YvjTIwaSV4v8e9YKKzE3Hj8Yc+NQoA4ukfKomwsCB1ibqJvtGEqb+P7AJcn23M/EMYTl6EfZg4zb8JbHX6h78UEwj+C+5q2Y38y+OZOK2S2dgk3thivf8cBX1Yh22JXSqGjzrTRqURVm/K4i04FbcPe9l+VhTC2luwGdB33NNKy304rl030eN9GdWtwn6Rf4BNGb44PCtqcxiKtX+f8h/Q7KZKYKg69mUTqNwK4adbMlw+Fi2BPvgh6Wp/RBtkZ8auEK/v1peQ8eB+FGaw4liaQf4J2egwkj2hNUIe7DEJalkgeLpPsoGdHZrUyHskw1d3VbGx9h+x582PQYYHsbpsFZw0HmHZL7XRD4Y96U2IM8euXK2lNz41ChDi6Rkv5pZu9ocWzLfU1yQ63EZzWqPsiSlsVt4u/Hv56Lm9kiBZmX8M6WV/Hm8LA+YGoRhnc4adeJqhYjOgvHd5TpcPwjNGaYGYG3tITfszetQqyK2YVcU/8mvJb7LF6x6ln/lHrkyjq7oopRN9sxbAGwZiGyjqNX5EFqnsXjQ2ednlkN/HWSeyEe9KYsjsdMaRIPBPUPw3uipH5heIewPMVO1BPwDrzMRAJtZvyuIlOxKCNxG2TRpDN/9bOZbbhc0iL4czIFr+GWxckfDD1xZa0bqu4SuR9wsXw8QL+om5XymlNr4pL2xxXyh/EhvFvgEeQMd8v6rqSfkHzDW3UQlqS7DI2gSgBYyUzyMxtVCMM7hGVp24mqCjN+V5GpWJaW05rNyaSP7LzWfq7VXuQxYFfWOtGtS6SaQ1vcZYWom23zmoOV+I/xGnZ+IM+NuMIe0BBeNeZtvItm3+wh877IlaXJ914eUuC24XChq+LBkuQ2sv7xwpu2VZHpUJY+L4E5HXlgtz+Z2UvyKJtr4xOHTO1xPoN2Za0zM9slco5V4hnq4UAe+SSua1iHeRuHgtSbvwbNYXinz0LeM/0oqyUXt1WR6ZBHv2hxcyq5fqCNgR/gNeTvWQ8Dg/XKlbWODJVLZNjE3fY0Gh/uujDwGCX27oq0nbdxKFAjDO831ByG90Z8dN4sh3xU2/uBMWoOkj8at2FXkqlCKPAmstbiNsCpZnZF8rDqJT1xZa0bQ+kSOccqcfUfyHMD8JNBfilfAaZJKp23cYg4jjQDTursuxhAHqPmOHobo6ZXzI13No6iOUj+i7jLZ1WZoDselXQK3vF4VDJ7VI31UomK4whmRw7EdcB3gENm5sdrjjWnSPoTPiDmDlyB3wjcYYO4IL0YlTZYNIQxanpJ8iW/wNpMtJHkxlphrshgYMgn094KDyFxr3z2qtVtAFOZBcPHHKvEobuBPF2kOR+wvJnd07OCdpf/kMeo6RWSbrQ0I0obmWsoj8HR0xCycwLyAFiPmNmrkjbD+1DONrMXhrNcQXfM0Uo8o8pAnorpbIvHPJjbzFaQtBY+8/VQxgapTYyaIvJJbZfB5wftm6cy7wMuKT/l3LzAp4A3zOygoSrn7IJ8Lsh1cI+RK4FLgXeb2dbDWKygS+ZYJd5mIM8NePPyrQGkORn3N59gJRHLhgL1eAacoaSFL3hHH3BJt5jZejOpWLMtmVePpIOA/5rZieGCWT/m2I5NvPZxIfC1qgN5KvC6mf0714kBPvnFkGE+efH71Ryj5gob5hg1VbBCaN8ykttWxgh84uaFW4gH7Xld0i7AHjQ6vOcaxvIEA2COVeLW5QStFblT0qeBkZJWAb6K1+yHHOvRDDhDSTJrnYibtsDD+o635imtJtMI2foGPn/k3kNZztmIvfCpCX9oZg/IJ04+Z5jLFHTJHGtOmRmk3v5D8KH84NNR/cAGENh/TkTS1fgMS5ki2Q2fLHbL4StVEMzahBLvAZLmxWs0K+MDhU4zszeGt1T1Q+UT9zZtk8dk/iLwgbRpAnCKVZgBJWgmtRZ/BKxG86QQKw5boYKumVMd8XvNWXjn4e3AR3APlaB7npW0m6SRadkNjyqZ5+e4HfzktLwvbQu65wz82r2Bx9M/Gzh3WEsUdE3UxHtAfhCNfK7GWyJSXvdIGovbxDfE7d434FPM/Ssn0zSJdattQWckTTaz9xWe38lm9r5OxwazDnNsx2aP6WvKm8/fOJxlqS1pJGYnn/o3Ja1kZvcDSFqR3HymQVe8mqJb3ivpy/gUhLPMrPFBNaIm3gMkvUljcIrwoFqvMJsH+ekVXQTQR9IHcTPADPz6jgX2St44QRdIWhef73ER4Pu4q+bRZnbTcJYr6I5Q4sGwM4AA+vMAq6bVe2aF0L9BMFyEEg9mKVoF0E+1xoezEaeS9sCH3D8EHBYhZqujHk1eHMwahBIPZgk6BdCXNAX4kJk9J+kDwG+ArwBrAe8yswhHWxHF5MWzFdGxGQw7FQPoj8zVtnfCJzG4CLgoBXIKqjNHTl48uxI18WDYSXNwvor7K5fOwSnpDmCt5P1zN7CPpQmohzrI2OyE5qDJi2dXoiYeDDsVZ385H7hW0jPAf/G4Ktl0dDNthvbZlZLJi0/Ao18GNSNq4kFtkLQBsBRwlZm9nLa9A1jQzKYMa+FqxJw8efHsSCjxIJjDSOarbFxDqflq6EsVDJRQ4kEQBDUmAmAFQRDUmFDiQRAENSaUeBAEQY0JJR4EQVBj/j/e1eIWXmHNKgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Mass shootings state frequency plot\n",
    "mass_shootings[\"state\"].value_counts().plot.bar(title=\"Mass shootings state frequency plot\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "626976d6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Mass shootings year frequency plot'}>"
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Mass shootings year frequency plot\n",
    "mass_shootings[\"year\"].value_counts().plot.bar(title=\"Mass shootings year frequency plot\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "id": "7ed76be7",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x28800 with 37 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Mass shootings state frequency plot for each year\n",
    "fig, axes = plt.subplots(nrows=37, ncols=1,figsize=(10,400))\n",
    "count = 0\n",
    "for year in range(1982, 2022):\n",
    "    if not mass_shootings[mass_shootings.year == year].empty:\n",
    "        mass_shootings[\"state\"][mass_shootings.year == year].value_counts().plot.bar(title=\"Mass shootings state frequency plot for \" + str(year), ax=axes[count])\n",
    "        count += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "id": "ce74bd91",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Mass shootings race frequency plot'}>"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Mass shootings race frequency plot\n",
    "# - means no data\n",
    "mass_shootings[\"race\"].value_counts().plot.bar(title=\"Mass shootings race frequency plot\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "id": "0cb05972",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Mass shootings gender frequency plot'}>"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Mass shootings gender frequency plot\n",
    "mass_shootings[\"gender\"].value_counts().plot.bar(title=\"Mass shootings gender frequency plot\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "04162e22",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Mass shootings location_type frequency plot'}>"
      ]
     },
     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Mass shootings location_type frequency plot\n",
    "mass_shootings[\"location_type\"].value_counts().plot.bar(title=\"Mass shootings location_type frequency plot\")"
   ]
  }
 ],
 "metadata": {
  "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": "3.9.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}