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Mass.ipynb.json
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Mass.ipynb.json
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**U.S. Mass shootings from 1982-2015**"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import pandas as pd\n",
"Mother = pd.read_table('MothrJones - Sheet1.csv', sep=',')"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false,
"scrolled": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Case</th>\n",
" <th>Location</th>\n",
" <th>Date</th>\n",
" <th>Year</th>\n",
" <th>Summary</th>\n",
" <th>Age</th>\n",
" <th>Fatalities</th>\n",
" <th>Injured</th>\n",
" <th>Total victims</th>\n",
" <th>Venue</th>\n",
" <th>...</th>\n",
" <th>Where obtained</th>\n",
" <th>Type of weapons</th>\n",
" <th>Weapon details</th>\n",
" <th>Race</th>\n",
" <th>Gender</th>\n",
" <th>Sources</th>\n",
" <th>Mental Health Sources</th>\n",
" <th>latitude</th>\n",
" <th>longitude</th>\n",
" <th>Type</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Umpqua Community College shooting</td>\n",
" <td>Roseburg, OR</td>\n",
" <td>10/1/2015</td>\n",
" <td>2015</td>\n",
" <td>26-year-old Chris Harper Mercer opened fire at...</td>\n",
" <td>26</td>\n",
" <td>9</td>\n",
" <td>9</td>\n",
" <td>18</td>\n",
" <td>School</td>\n",
" <td>...</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Male</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Chattanooga military recruitment center</td>\n",
" <td>Chattanooga, TN</td>\n",
" <td>7/16/2015</td>\n",
" <td>2015</td>\n",
" <td>Kuwaiti-born Mohammod Youssuf Abdulazeez, 24, ...</td>\n",
" <td>24</td>\n",
" <td>5</td>\n",
" <td>2</td>\n",
" <td>7</td>\n",
" <td>Military</td>\n",
" <td>...</td>\n",
" <td>On the internet, via Armslist.com</td>\n",
" <td>2 assault rifles; semiautomatic handgun</td>\n",
" <td>AK-47, AR-15, and 30-round magazines; 9mm handgun</td>\n",
" <td>Other</td>\n",
" <td>Male</td>\n",
" <td>http://www.reuters.com/article/2015/07/16/us-u...</td>\n",
" <td>NaN</td>\n",
" <td>35.047157</td>\n",
" <td>-85.311819</td>\n",
" <td>Mass</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Charleston Church Shooting</td>\n",
" <td>Charleston, SC</td>\n",
" <td>6/17/2015</td>\n",
" <td>2015</td>\n",
" <td>Dylann Storm Roof, 21, shot and killed 9 peopl...</td>\n",
" <td>21</td>\n",
" <td>9</td>\n",
" <td>1</td>\n",
" <td>10</td>\n",
" <td>Religious</td>\n",
" <td>...</td>\n",
" <td>Shooter's Choice gun store in West Columbia, S...</td>\n",
" <td>Handgun</td>\n",
" <td>.45-caliber Glock (model 41, with 13-round cap...</td>\n",
" <td>White</td>\n",
" <td>Male</td>\n",
" <td>http://www.motherjones.com/politics/2015/06/dy...</td>\n",
" <td>NaN</td>\n",
" <td>32.788387</td>\n",
" <td>-79.933143</td>\n",
" <td>Mass</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Marysville-Pilchuck High Schoolshooting</td>\n",
" <td>Marysville, WA</td>\n",
" <td>10/24/2014</td>\n",
" <td>2014</td>\n",
" <td>Jaylen Fryberg, 15, using a .40-caliber Berret...</td>\n",
" <td>15</td>\n",
" <td>5</td>\n",
" <td>1</td>\n",
" <td>6</td>\n",
" <td>School</td>\n",
" <td>...</td>\n",
" <td>Gun was his father's.</td>\n",
" <td>Handgun</td>\n",
" <td>Beretta .40-caliber handgun</td>\n",
" <td>Native American</td>\n",
" <td>Male</td>\n",
" <td>http://www.seattletimes.com/seattle-news/fourt...</td>\n",
" <td>http://www.newyorker.com/science/maria-konniko...</td>\n",
" <td>48.050824</td>\n",
" <td>-122.176918</td>\n",
" <td>Mass</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Alturas tribal shooting</td>\n",
" <td>Alturas, CA</td>\n",
" <td>2/20/2014</td>\n",
" <td>2014</td>\n",
" <td>Cherie Lash Rhoades, 44, opened fire at the Ce...</td>\n",
" <td>44</td>\n",
" <td>4</td>\n",
" <td>2</td>\n",
" <td>6</td>\n",
" <td>Other</td>\n",
" <td>...</td>\n",
" <td>NaN</td>\n",
" <td>Two handguns and a butcher knife</td>\n",
" <td>9mm semi-automatic handgun</td>\n",
" <td>Native American</td>\n",
" <td>Female</td>\n",
" <td>http://www.sacbee.com/news/local/crime/article...</td>\n",
" <td>NaN</td>\n",
" <td>41.487104</td>\n",
" <td>-120.542237</td>\n",
" <td>Mass</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 23 columns</p>\n",
"</div>"
],
"text/plain": [
" Case Location Date Year \\\n",
"0 Umpqua Community College shooting Roseburg, OR 10/1/2015 2015 \n",
"1 Chattanooga military recruitment center Chattanooga, TN 7/16/2015 2015 \n",
"2 Charleston Church Shooting Charleston, SC 6/17/2015 2015 \n",
"3 Marysville-Pilchuck High Schoolshooting Marysville, WA 10/24/2014 2014 \n",
"4 Alturas tribal shooting Alturas, CA 2/20/2014 2014 \n",
"\n",
" Summary Age Fatalities \\\n",
"0 26-year-old Chris Harper Mercer opened fire at... 26 9 \n",
"1 Kuwaiti-born Mohammod Youssuf Abdulazeez, 24, ... 24 5 \n",
"2 Dylann Storm Roof, 21, shot and killed 9 peopl... 21 9 \n",
"3 Jaylen Fryberg, 15, using a .40-caliber Berret... 15 5 \n",
"4 Cherie Lash Rhoades, 44, opened fire at the Ce... 44 4 \n",
"\n",
" Injured Total victims Venue ... \\\n",
"0 9 18 School ... \n",
"1 2 7 Military ... \n",
"2 1 10 Religious ... \n",
"3 1 6 School ... \n",
"4 2 6 Other ... \n",
"\n",
" Where obtained \\\n",
"0 NaN \n",
"1 On the internet, via Armslist.com \n",
"2 Shooter's Choice gun store in West Columbia, S... \n",
"3 Gun was his father's. \n",
"4 NaN \n",
"\n",
" Type of weapons \\\n",
"0 NaN \n",
"1 2 assault rifles; semiautomatic handgun \n",
"2 Handgun \n",
"3 Handgun \n",
"4 Two handguns and a butcher knife \n",
"\n",
" Weapon details Race Gender \\\n",
"0 NaN NaN Male \n",
"1 AK-47, AR-15, and 30-round magazines; 9mm handgun Other Male \n",
"2 .45-caliber Glock (model 41, with 13-round cap... White Male \n",
"3 Beretta .40-caliber handgun Native American Male \n",
"4 9mm semi-automatic handgun Native American Female \n",
"\n",
" Sources \\\n",
"0 NaN \n",
"1 http://www.reuters.com/article/2015/07/16/us-u... \n",
"2 http://www.motherjones.com/politics/2015/06/dy... \n",
"3 http://www.seattletimes.com/seattle-news/fourt... \n",
"4 http://www.sacbee.com/news/local/crime/article... \n",
"\n",
" Mental Health Sources latitude longitude \\\n",
"0 NaN NaN NaN \n",
"1 NaN 35.047157 -85.311819 \n",
"2 NaN 32.788387 -79.933143 \n",
"3 http://www.newyorker.com/science/maria-konniko... 48.050824 -122.176918 \n",
"4 NaN 41.487104 -120.542237 \n",
"\n",
" Type \n",
"0 NaN \n",
"1 Mass \n",
"2 Mass \n",
"3 Mass \n",
"4 Mass \n",
"\n",
"[5 rows x 23 columns]"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"Mother.head(5)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false,
"scrolled": false
},
"outputs": [
{
"data": {
"text/plain": [
"Case object\n",
"Location object\n",
"Date object\n",
"Year int64\n",
"Summary object\n",
"Age int64\n",
"Fatalities int64\n",
"Injured int64\n",
"Total victims int64\n",
"Venue object\n",
"Prior signs of possible mental illness object\n",
"Mental Health object\n",
"Weapons obtained legally object\n",
"Where obtained object\n",
"Type of weapons object\n",
"Weapon details object\n",
"Race object\n",
"Gender object\n",
"Sources object\n",
"Mental Health Sources object\n",
"latitude float64\n",
"longitude float64\n",
"Type object\n",
"dtype: object"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"Mother.dtypes"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"%matplotlib inline\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"location_df = Mother['Location'].apply(lambda x: pd.Series(x.split(', ')))\n",
"\n",
"loc_cols= ['City','State']\n",
"\n",
"location_df.columns=loc_cols"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"location_df.State.replace('OR', 'Oregon', inplace=True)\n",
"location_df.State.replace('TN', 'Tennessee', inplace=True)\n",
"location_df.State.replace('SC', 'South Carolina', inplace=True)\n",
"location_df.State.replace('WA', 'Washington', inplace=True)\n",
"location_df.State.replace('CA', 'California', inplace=True)\n",
"location_df.State.replace('District of Columbia', 'D.C.', inplace=True)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"Mother['City']=location_df.City\n",
"Mother['State']=location_df.State"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"Mother.drop(['Mental Health Sources', 'longitude', 'longitude', 'Location', 'Race', 'Where obtained', 'Mental Health' ], axis=1, inplace=True) \n",
"Mother.drop(['Sources', 'Type', 'Type of weapons', 'Weapon details'], axis=1, inplace=True) "
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x10ba289d0>"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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slxPO1WcQoXJfAl6WfUcNNJA3EcdvB0LrrLJt9ou/zhyQd6Xn5tL5/GXOs4+k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\naBES2kII0SL+Py1zU1dUgwGDAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x10ba282d0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"Mother.State.value_counts().plot(kind='bar')"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"WeaponCat = pd.read_table('MotherWeaponCategories - Sheet1.csv', sep=',', usecols=['Date', 'Types Of Weapon', 'Semiauto handguns', 'Rifles', 'Revolvers', 'Shotgun'])\n",
"GunLawRank = pd.read_table('GunLawRank - Sheet1.csv', sep=',')\n",
"StateNum = pd.read_table('State Code - Sheet1.csv', sep=',')"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Date</th>\n",
" <th>Types Of Weapon</th>\n",
" <th>Semiauto handguns</th>\n",
" <th>Rifles</th>\n",
" <th>Revolvers</th>\n",
" <th>Shotgun</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>7/26/2013</td>\n",
" <td>One semiautomatic handgun</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>6/7/2013</td>\n",
" <td>One rifle (assault), one handgun</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>4/21/2013</td>\n",
" <td>One semiautomatic handgun, one shotgun</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>3/13/2013</td>\n",
" <td>One shotgun</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>12/14/2012</td>\n",
" <td>Two semiautomatic handguns, one rifle (assault...</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>9/27/2012</td>\n",
" <td>One semiautomatic handgun</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>8/5/2012</td>\n",
" <td>One semiautomatic handgun</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>7/20/2012</td>\n",
" <td>Two semiautomatic handguns, one rifle (assault...</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>5/20/2012</td>\n",
" <td>Two semiautomatic handguns</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>4/2/2012</td>\n",
" <td>One semiautomatic handgun</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>2/22/2012</td>\n",
" <td>One semiautomatic handgun</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>10/14/2011</td>\n",
" <td>Two semiautomatic handguns, one revolver</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>9/6/2011</td>\n",
" <td>Two rifles (both assault), one revolver</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>1/8/2011</td>\n",
" <td>One semiautomatic handgun</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>8/3/2010</td>\n",
" <td>Two semiautomatic handguns</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>11/29/2009</td>\n",
" <td>One semiautomatic handgun</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>11/5/2009</td>\n",
" <td>One semiautomatic handgun</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>4/3/2009</td>\n",
" <td>Two semiautomatic handguns</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>3/29/2009</td>\n",
" <td>One revolver, one shotgun</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>6/25/2008</td>\n",
" <td>One semiautomatic handgun</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>2/14/2008</td>\n",
" <td>Three semiautomatic handguns, one shotgun</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>2/7/2008</td>\n",
" <td>One semiautomatic handgun, one revolver</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>12/5/2007</td>\n",
" <td>One rifle (assault)</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>10/7/2007</td>\n",
" <td>One rifle (assault)</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>4/16/2007</td>\n",
" <td>Two semiautomatic handguns</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>2/12/2007</td>\n",
" <td>One revolver, one shotgun</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>10/2/2006</td>\n",
" <td>One semiautomatic handgun, one rifle, one shotgun</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>3/25/2006</td>\n",
" <td>Two semiautomatic handguns, one rifle (assault...</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>1/30/2006</td>\n",
" <td>One semiautomatic handgun</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>3/21/2005</td>\n",
" <td>Two semiautomatic handguns, one shotgun</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</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",
" </tr>\n",
" <tr>\n",
" <th>41</th>\n",
" <td>3/24/1998</td>\n",
" <td>Two semiautomatic handguns, two rifles, three ...</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>5</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>42</th>\n",
" <td>3/6/1998</td>\n",
" <td>One semiautomatic handgun</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>43</th>\n",
" <td>12/18/1997</td>\n",
" <td>One rifle (assault)</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>44</th>\n",
" <td>9/15/1997</td>\n",
" <td>One semiautomatic handgun</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>45</th>\n",
" <td>2/9/1996</td>\n",
" <td>One semiautomatic handgun, one revolver</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>46</th>\n",
" <td>4/3/1995</td>\n",
" <td>One semiautomatic handgun, one revolver</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>47</th>\n",
" <td>6/20/1994</td>\n",
" <td>One rifle (assault)</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>48</th>\n",
" <td>12/14/1993</td>\n",
" <td>One semiautomatic handgun</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>49</th>\n",
" <td>12/7/1993</td>\n",
" <td>One semiautomatic handgun</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50</th>\n",
" <td>8/6/1993</td>\n",
" <td>One rifle, two shotguns</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>51</th>\n",
" <td>7/1/1993</td>\n",
" <td>Three semiautomatic handguns (two assault)</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>52</th>\n",
" <td>10/15/1992</td>\n",
" <td>One semiautomatic handgun</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>53</th>\n",
" <td>5/1/1992</td>\n",
" <td>One rifle, one shotgun</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>54</th>\n",
" <td>11/14/1991</td>\n",
" <td>One rifle</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>55</th>\n",
" <td>11/1/1991</td>\n",
" <td>One revolver</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>56</th>\n",
" <td>10/16/1991</td>\n",
" <td>Two semiautomatic handguns</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>57</th>\n",
" <td>6/18/1990</td>\n",
" <td>One rifle, one revolver</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>58</th>\n",
" <td>9/14/1989</td>\n",
" <td>Three semiautomatic handguns (two assault), on...</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>59</th>\n",
" <td>1/17/1989</td>\n",
" <td>One semiautomatic handgun, one rifle (assault)</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>60</th>\n",
" <td>2/16/1988</td>\n",
" <td>Two semiautomatic handguns, one rifle, two rev...</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>61</th>\n",
" <td>4/23/1987</td>\n",
" <td>One rifle, one revolver, one shotgun</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>62</th>\n",
" <td>8/20/1986</td>\n",
" <td>Three semiautomatic handguns</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>63</th>\n",
" <td>7/18/1984</td>\n",
" <td>One semiautomatic handgun, one rifle (assault)...</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64</th>\n",
" <td>6/29/1984</td>\n",
" <td>One semiautomatic handgun</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>65</th>\n",
" <td>8/20/1982</td>\n",
" <td>One shotgun</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>66</th>\n",
" <td>10/1/2015</td>\n",
" <td>Two semiautomatic handgun</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>67</th>\n",
" <td>7/16/2015</td>\n",
" <td>One semiautomatic handgun</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>68</th>\n",
" <td>6/17/2015</td>\n",
" <td>One semiautomatic handgun</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>69</th>\n",
" <td>10/24/2014</td>\n",
" <td>Two semiautomatic handgun</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>70</th>\n",
" <td>2/20/2014</td>\n",
" <td>One shotgun</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>71 rows × 6 columns</p>\n",
"</div>"
],
"text/plain": [