ExploringGunDeaths.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "a = open(\"guns.csv\", \"r\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "b = csv.reader(a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "data = list(b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[['', 'year', 'month', 'intent', 'police', 'sex', 'age', 'race', 'hispanic', 'place', 'education'], ['1', '2012', '01', 'Suicide', '0', 'M', '34', 'Asian/Pacific Islander', '100', 'Home', '4'], ['2', '2012', '01', 'Suicide', '0', 'F', '21', 'White', '100', 'Street', '3'], ['3', '2012', '01', 'Suicide', '0', 'M', '60', 'White', '100', 'Other specified', '4'], ['4', '2012', '02', 'Suicide', '0', 'M', '64', 'White', '100', 'Home', '4']]\n"
     ]
    }
   ],
   "source": [
    "print(data[:5])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[['', 'year', 'month', 'intent', 'police', 'sex', 'age', 'race', 'hispanic', 'place', 'education']]\n",
      "[['1', '2012', '01', 'Suicide', '0', 'M', '34', 'Asian/Pacific Islander', '100', 'Home', '4'], ['2', '2012', '01', 'Suicide', '0', 'F', '21', 'White', '100', 'Street', '3'], ['3', '2012', '01', 'Suicide', '0', 'M', '60', 'White', '100', 'Other specified', '4'], ['4', '2012', '02', 'Suicide', '0', 'M', '64', 'White', '100', 'Home', '4'], ['5', '2012', '02', 'Suicide', '0', 'M', '31', 'White', '100', 'Other specified', '2']]\n"
     ]
    }
   ],
   "source": [
    "headers = data[:1]\n",
    "data = data[1:]\n",
    "print(headers)\n",
    "print(data[:5])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "years = []\n",
    "for row in data:\n",
    "    years.append(row[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "year_counts = {}\n",
    "for element in years:\n",
    "    if element in year_counts:\n",
    "        year_counts[element] = year_counts[element] + 1\n",
    "    else:\n",
    "        year_counts[element] = 1\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'2014': 33599, '2012': 33563, '2013': 33636}\n"
     ]
    }
   ],
   "source": [
    "print(year_counts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "dates = [datetime.datetime(year = int(row[1]), month= int(row[2]), day = 1) for row in data]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[datetime.datetime(2012, 1, 1, 0, 0),\n",
       " datetime.datetime(2012, 1, 1, 0, 0),\n",
       " datetime.datetime(2012, 1, 1, 0, 0),\n",
       " datetime.datetime(2012, 2, 1, 0, 0),\n",
       " datetime.datetime(2012, 2, 1, 0, 0)]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dates[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "for date in dates:\n",
    "    if date in date_counts:\n",
    "        date_counts[date] = date_counts[date] + 1\n",
    "    else:\n",
    "        date_counts[date] = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{datetime.datetime(2012, 1, 1, 0, 0): 2758,\n",
       " datetime.datetime(2012, 2, 1, 0, 0): 2357,\n",
       " datetime.datetime(2012, 3, 1, 0, 0): 2743,\n",
       " datetime.datetime(2012, 4, 1, 0, 0): 2795,\n",
       " datetime.datetime(2012, 5, 1, 0, 0): 2999,\n",
       " datetime.datetime(2012, 6, 1, 0, 0): 2826,\n",
       " datetime.datetime(2012, 7, 1, 0, 0): 3026,\n",
       " datetime.datetime(2012, 8, 1, 0, 0): 2954,\n",
       " datetime.datetime(2012, 9, 1, 0, 0): 2852,\n",
       " datetime.datetime(2012, 10, 1, 0, 0): 2733,\n",
       " datetime.datetime(2012, 11, 1, 0, 0): 2729,\n",
       " datetime.datetime(2012, 12, 1, 0, 0): 2791,\n",
       " datetime.datetime(2013, 1, 1, 0, 0): 2864,\n",
       " datetime.datetime(2013, 2, 1, 0, 0): 2375,\n",
       " datetime.datetime(2013, 3, 1, 0, 0): 2862,\n",
       " datetime.datetime(2013, 4, 1, 0, 0): 2798,\n",
       " datetime.datetime(2013, 5, 1, 0, 0): 2806,\n",
       " datetime.datetime(2013, 6, 1, 0, 0): 2920,\n",
       " datetime.datetime(2013, 7, 1, 0, 0): 3079,\n",
       " datetime.datetime(2013, 8, 1, 0, 0): 2859,\n",
       " datetime.datetime(2013, 9, 1, 0, 0): 2742,\n",
       " datetime.datetime(2013, 10, 1, 0, 0): 2808,\n",
       " datetime.datetime(2013, 11, 1, 0, 0): 2758,\n",
       " datetime.datetime(2013, 12, 1, 0, 0): 2765,\n",
       " datetime.datetime(2014, 1, 1, 0, 0): 2651,\n",
       " datetime.datetime(2014, 2, 1, 0, 0): 2361,\n",
       " datetime.datetime(2014, 3, 1, 0, 0): 2684,\n",
       " datetime.datetime(2014, 4, 1, 0, 0): 2862,\n",
       " datetime.datetime(2014, 5, 1, 0, 0): 2864,\n",
       " datetime.datetime(2014, 6, 1, 0, 0): 2931,\n",
       " datetime.datetime(2014, 7, 1, 0, 0): 2884,\n",
       " datetime.datetime(2014, 8, 1, 0, 0): 2970,\n",
       " datetime.datetime(2014, 9, 1, 0, 0): 2914,\n",
       " datetime.datetime(2014, 10, 1, 0, 0): 2865,\n",
       " datetime.datetime(2014, 11, 1, 0, 0): 2756,\n",
       " datetime.datetime(2014, 12, 1, 0, 0): 2857}"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "date_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "sex_counts = {}\n",
    "sex = [] \n",
    "for row in data:\n",
    "    sex.append(row[5])\n",
    "for element in sex:\n",
    "    if element in sex_counts:\n",
    "        sex_counts[element] = sex_counts[element] + 1\n",
    "    else:\n",
    "        sex_counts[element] = 1\n",
    "race_counts = {}\n",
    "race = []\n",
    "for row in data:\n",
    "    race.append(row[7])\n",
    "for element in race:\n",
    "    if element in race_counts:\n",
    "        race_counts[element] = race_counts[element] + 1\n",
    "    else: \n",
    "        race_counts[element] = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'F': 14449, 'M': 86349}"
      ]
     },
     "execution_count": 176,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sex_counts\n",
    "#Approximately 6x as many men as women die by gun violence"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Asian/Pacific Islander': 1326,\n",
       " 'Black': 23296,\n",
       " 'Hispanic': 9022,\n",
       " 'Native American/Native Alaskan': 917,\n",
       " 'White': 66237}"
      ]
     },
     "execution_count": 173,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "race_counts\n",
    "#White people make up 66% of gun deaths; Black people make up 23% of gun deaths\n",
    "#Definitely want to examine the percentage each population makes up of the entire US population"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "a = open(\"census.csv\", \"r\")\n",
    "b = csv.reader(a)\n",
    "census = list(b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['Id',\n",
       "  'Year',\n",
       "  'Id',\n",
       "  'Sex',\n",
       "  'Id',\n",
       "  'Hispanic Origin',\n",
       "  'Id',\n",
       "  'Id2',\n",
       "  'Geography',\n",
       "  'Total',\n",
       "  'Race Alone - White',\n",
       "  'Race Alone - Hispanic',\n",
       "  'Race Alone - Black or African American',\n",
       "  'Race Alone - American Indian and Alaska Native',\n",
       "  'Race Alone - Asian',\n",
       "  'Race Alone - Native Hawaiian and Other Pacific Islander',\n",
       "  'Two or More Races'],\n",
       " ['cen42010',\n",
       "  'April 1, 2010 Census',\n",
       "  'totsex',\n",
       "  'Both Sexes',\n",
       "  'tothisp',\n",
       "  'Total',\n",
       "  '0100000US',\n",
       "  '',\n",
       "  'United States',\n",
       "  '308745538',\n",
       "  '197318956',\n",
       "  '44618105',\n",
       "  '40250635',\n",
       "  '3739506',\n",
       "  '15159516',\n",
       "  '674625',\n",
       "  '6984195']]"
      ]
     },
     "execution_count": 146,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "census"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "mapping = {\n",
    "    \"Asian/Pacific Islander\": 15159516 + 674625,\n",
    "    \"Native American/Native Alaskan\": 3739506,\n",
    "    \"Black\": 40250635,\n",
    "    \"Hispanic\": 44618105,\n",
    "    \"White\": 197318956\n",
    "}\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "race_per_hundredk = {}\n",
    "for k, v in race_counts.items():\n",
    "   race_per_hundredk[k] = (v/mapping[k])*100000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Asian/Pacific Islander': 8.374309664161762,\n",
       " 'Black': 57.8773477735196,\n",
       " 'Hispanic': 20.220491210910907,\n",
       " 'Native American/Native Alaskan': 24.521955573811088,\n",
       " 'White': 33.56849303419181}"
      ]
     },
     "execution_count": 186,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "race_per_hundredk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "intents = [row[3] for row in data]\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "races = [row[7] for row in data]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "homicide_race_counts = {}\n",
    "for i, race in enumerate(races):\n",
    "    if intents[i] == \"Homicide\":\n",
    "        if race in homicide_race_counts:\n",
    "            homicide_race_counts[race] = homicide_race_counts[race] + 1\n",
    "        else:\n",
    "            homicide_race_counts[race] = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Asian/Pacific Islander': 559,\n",
       " 'Black': 19510,\n",
       " 'Hispanic': 5634,\n",
       " 'Native American/Native Alaskan': 326,\n",
       " 'White': 9147}"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "homicide_race_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "for k, v in homicide_race_counts.items():\n",
    "   homicide_race_counts[k] = (v/mapping[k])*100000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Asian/Pacific Islander': 3.530346230970155,\n",
       " 'Black': 48.471284987180944,\n",
       " 'Hispanic': 12.627161104219914,\n",
       " 'Native American/Native Alaskan': 8.717729026240365,\n",
       " 'White': 4.6356417981453335}"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "homicide_race_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#Black people were from 4-12x as likely to die of homicide by gun between the years 2012-2014\n",
    "#Would be interesting to look at the ratios of men/women between each race as well"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "locations = [row[9] for row in data]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "home_sex_counts = {}\n",
    "for i, v in enumerate(sex):\n",
    "    if locations[i] == \"Home\":\n",
    "        if v in home_sex_counts:\n",
    "            home_sex_counts[v] = home_sex_counts[v] + 1\n",
    "        else: \n",
    "            home_sex_counts[v] = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'F': 10274, 'M': 50212}"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "home_sex_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#Five times as many men died by gun death in their homes\n",
    "#In terms of overall?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'F': 14449, 'M': 86349}"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sex_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#71% of female gun deaths were in the home\n",
    "#58% of male gun death were in the home"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "suicide_gender_counts = {}\n",
    "for i, v in enumerate(sex):\n",
    "    if intents[i] == \"Suicide\":\n",
    "        if v in suicide_gender_counts:\n",
    "            suicide_gender_counts[v] = suicide_gender_counts[v] + 1\n",
    "        else:\n",
    "            suicide_gender_counts[v] = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'F': 8689, 'M': 54486}"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "suicide_gender_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "intent_counts = {}\n",
    "for value in intents:\n",
    "    if value in intent_counts:\n",
    "        intent_counts[value] = intent_counts[value] + 1\n",
    "    else:\n",
    "        intent_counts[value] = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Accidental': 1639,\n",
       " 'Homicide': 35176,\n",
       " 'NA': 1,\n",
       " 'Suicide': 63175,\n",
       " 'Undetermined': 807}"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "intent_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#Approximately 60% of gun deaths were caused by suicide in both men and women"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "homicide_gender_counts = {}\n",
    "for i, v in enumerate(sex):\n",
    "    if intents[i] == \"Homicide\":\n",
    "        if v in homicide_gender_counts:\n",
    "            homicide_gender_counts[v] = homicide_gender_counts[v] + 1\n",
    "        else: \n",
    "            homicide_gender_counts[v] = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'F': 5373, 'M': 29803}"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "homicide_gender_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#34.5% of gun-related deaths upon females were by homicide\n",
    "#37% of gun-related deaths upon males were by homicide"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "months = [row[2] for row in data]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "months_homicide_counts = {}\n",
    "for i, v in enumerate(months):\n",
    "    if intents[i] == \"Homicide\":\n",
    "        if v in months_homicide_counts:\n",
    "            months_homicide_counts[v] = months_homicide_counts[v] + 1\n",
    "        else:\n",
    "            months_homicide_counts[v] = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'01': 2829,\n",
       " '02': 2178,\n",
       " '03': 2780,\n",
       " '04': 2845,\n",
       " '05': 2976,\n",
       " '06': 3130,\n",
       " '07': 3269,\n",
       " '08': 3125,\n",
       " '09': 2966,\n",
       " '10': 2968,\n",
       " '11': 2919,\n",
       " '12': 3191}"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "months_homicide_counts\n",
    "\n",
    "#There seems to be little correlation between time of year and homicide rates\n",
    "#Wou"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "months_suicide_counts = {}\n",
    "for i, v in enumerate(months):\n",
    "    if intents[i] == \"Suicide\":\n",
    "        if v in months_suicide_counts:\n",
    "            months_suicide_counts[v] = months_suicide_counts[v] + 1\n",
    "        else: \n",
    "            months_suicide_counts[v] = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'01': 5220,\n",
       " '02': 4732,\n",
       " '03': 5309,\n",
       " '04': 5438,\n",
       " '05': 5506,\n",
       " '06': 5367,\n",
       " '07': 5514,\n",
       " '08': 5421,\n",
       " '09': 5343,\n",
       " '10': 5256,\n",
       " '11': 5086,\n",
       " '12': 4983}"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "months_suicide_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#Suicide rates seem to be at their highest in summer\n",
    "#Suicide rates seem to also be higher right after the holidays"
   ]
  }
 ],
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