Exploring Gun Deaths in the US.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Exploring Gun Deaths in the US\n",
    "\n",
    "The dataset contains information on gun deaths in the US from 2012 to 2014. Each row in the dataset represents a single fatality. The columns contain demographic and other information about the victim. To download it, [click here](full_data.csv).\n",
    "\n",
    "The columns of the datasets are self-explanatory, however few need to clarified:\n",
    "* police: 0 or 1 (0 means no police were involved)\n",
    "* intent: value could be Suicide, Accidental, NA, Homicide, or Undetermined\n",
    "* race: value could be Asian/Pacific Islander, Native American/Native Alaskan, Black, Hispanic, or White\n",
    "* education: \n",
    "    1 -- Less than High School\n",
    "    2 -- Graduated from High School or equivalent\n",
    "    3 -- Some College\n",
    "    4 -- At least graduated from College\n",
    "    5 -- Not available\n",
    "    \n",
    "We'll be using another dataset called \"census.csv\" which has one row consists of population counts. To download it, [click here](census.csv)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "#### Reading the dataset and show sample data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "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']\n",
      "['2', '2012', '01', 'Suicide', '0', 'F', '21', 'White', '100', 'Street', '3']\n",
      "['3', '2012', '01', 'Suicide', '0', 'M', '60', 'White', '100', 'Other specified', '4']\n",
      "['4', '2012', '02', 'Suicide', '0', 'M', '64', 'White', '100', 'Home', '4']\n",
      "['5', '2012', '02', 'Suicide', '0', 'M', '31', 'White', '100', 'Other specified', '2']\n"
     ]
    }
   ],
   "source": [
    "import csv\n",
    "\n",
    "file = csv.reader(open(\"full_data.csv\"))\n",
    "\n",
    "data = list(file)\n",
    "\n",
    "print(data[0]) # print header\n",
    "\n",
    "data = data[1:] # skip the header\n",
    "\n",
    "p = [print(line) for line in data[:5]] # sample data. pretty way of printing each element on a seperate line"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "#### Counting Gun Deaths By Year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2013 : 33636\n",
      "2012 : 33563\n",
      "2014 : 33599\n"
     ]
    }
   ],
   "source": [
    "years = [year[1] for year in data]\n",
    "\n",
    "year_counts = {}\n",
    "\n",
    "for year in years:\n",
    "    if year not in year_counts:\n",
    "        year_counts[year] = 1\n",
    "    else:\n",
    "        year_counts[year] += 1\n",
    "\n",
    "p = [print(k,\":\",v) for k,v in year_counts.items()]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "#### Exploring Gun Deaths By Month And Year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2012-01-01 :  2758\n",
      "2012-02-01 :  2357\n",
      "2012-03-01 :  2743\n",
      "2012-04-01 :  2795\n",
      "2012-05-01 :  2999\n",
      "2012-06-01 :  2826\n",
      "2012-07-01 :  3026\n",
      "2012-08-01 :  2954\n",
      "2012-09-01 :  2852\n",
      "2012-10-01 :  2733\n",
      "2012-11-01 :  2729\n",
      "2012-12-01 :  2791\n",
      "2013-01-01 :  2864\n",
      "2013-02-01 :  2375\n",
      "2013-03-01 :  2862\n",
      "2013-04-01 :  2798\n",
      "2013-05-01 :  2806\n",
      "2013-06-01 :  2920\n",
      "2013-07-01 :  3079\n",
      "2013-08-01 :  2859\n",
      "2013-09-01 :  2742\n",
      "2013-10-01 :  2808\n",
      "2013-11-01 :  2758\n",
      "2013-12-01 :  2765\n",
      "2014-01-01 :  2651\n",
      "2014-02-01 :  2361\n",
      "2014-03-01 :  2684\n",
      "2014-04-01 :  2862\n",
      "2014-05-01 :  2864\n",
      "2014-06-01 :  2931\n",
      "2014-07-01 :  2884\n",
      "2014-08-01 :  2970\n",
      "2014-09-01 :  2914\n",
      "2014-10-01 :  2865\n",
      "2014-11-01 :  2756\n",
      "2014-12-01 :  2857\n"
     ]
    }
   ],
   "source": [
    "import datetime\n",
    "\n",
    "dates = [datetime.datetime(year=int(date[1]),month=int(date[2]),day=1) for date in data]\n",
    "\n",
    "date_counts = {}\n",
    "\n",
    "for date in dates:\n",
    "    if date not in date_counts:\n",
    "        date_counts[date] = 1\n",
    "    else:\n",
    "        date_counts[date] += 1\n",
    "        \n",
    "\n",
    "p = [print(str(k).split(\" \")[0],\": \",v) for k,v in sorted(date_counts.items())]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "#### Exploring Gun Deaths By Race And Sex"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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w2JuZFaCpsJf0iKSt3TwuqdTMkvSEpOcl3SHpgNprjJB0qaROSRskLZS0d61mT0nXSeqS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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x109329128>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sex_counts = {}\n",
    "race_counts = {}\n",
    "\n",
    "for line in data:\n",
    "    if line[5] not in sex_counts:\n",
    "        sex_counts[line[5]] = 1\n",
    "    else:\n",
    "        sex_counts[line[5]] += 1\n",
    "        \n",
    "    if line[7] not in race_counts:\n",
    "        race_counts[line[7]] = 1\n",
    "    else:\n",
    "        race_counts[line[7]] += 1  \n",
    "        \n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "fig = plt.figure(figsize=(4,10))\n",
    "\n",
    "ax1 = fig.add_subplot(211)\n",
    "ax2 = fig.add_subplot(212)\n",
    "\n",
    "\n",
    "ax1.bar(left=[1,2],height=sex_counts.values(),width=0.2)\n",
    "ax1.set_xticks([i+0.2/2 for i in (1,2)])\n",
    "ax1.set_xticklabels(['Females', 'Males'])\n",
    "ax1.set_title(\"Sex Counts\")\n",
    "\n",
    "ax2.bar(left=list(range(1,len(race_counts)+1)),height=race_counts.values(),width=0.2)\n",
    "ax2.set_xticks([i+0.2/2 for i in range(1,len(race_counts)+1)])\n",
    "ax2.set_xticklabels(race_counts.keys(),rotation=90)\n",
    "ax2.set_title(\"Race Counts\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "#### Reading census dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[\"'Id'\", \" 'Year'\", \" 'Id'\", \" 'Sex'\", \" 'Id'\", \" 'Hispanic Origin'\", \" 'Id'\", \" 'Id2'\", \" 'Geography'\", \" 'Total'\", \" 'Race Alone - White'\", \" 'Race Alone - Hispanic'\", \" 'Race Alone - Black or African American'\", \" 'Race Alone - American Indian and Alaska Native'\", \" 'Race Alone - Asian'\", \" 'Race Alone - Native Hawaiian and Other Pacific Islander'\", \" 'Two or More Races'\"]\n",
      "[\"'cen42010'\", \" 'April 1\", \" 2010 Census'\", \" 'totsex'\", \" 'Both Sexes'\", \" 'tothisp'\", \" 'Total'\", \" '0100000US'\", \" ''\", \" 'United States'\", \" '308745538'\", \" '197318956'\", \" '44618105'\", \" '40250635'\", \" '3739506'\", \" '15159516'\", \" '674625'\", \" '6984195'\"]\n"
     ]
    }
   ],
   "source": [
    "census = list(csv.reader(open(\"census.csv\")))\n",
    "\n",
    "print(census[0])\n",
    "census = census[1]\n",
    "print(census)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "#### Computing Rates Of Gun Deaths Per Race\n",
    "\n",
    "Rate of gun deaths per 100,000 people in each race."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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fBnoowBqkpsr6GROmF9sg9dJ6rUh6Xe2ziGKetV1JU+m0esFCMzNrX8NIQz6ui4jnutqp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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x112012860>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# manual mapping\n",
    "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",
    "race_per_hundredk = {}\n",
    "\n",
    "for k,v in race_counts.items():\n",
    "    race_per_hundredk[k] = (v / mapping[k]) * 100000\n",
    "\n",
    "fig = plt.figure(figsize=(5,4))\n",
    "\n",
    "ax = fig.add_subplot(111)\n",
    "\n",
    "ax.bar(left=list(range(1,len(race_per_hundredk)+1)),height=race_per_hundredk.values(),width=0.2,color='r')\n",
    "ax.set_ylim(0,100) # 100%\n",
    "ax.set_xticks([i+0.2/2 for i in range(1,len(race_per_hundredk)+1)])\n",
    "ax.set_xticklabels(race_per_hundredk.keys(),rotation=90)\n",
    "ax.set_title(\"Rates Of Gun Deaths Per Race\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "#### Filtering By Intent"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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IiYsVZRzgG3BmZksvN841MzOzYjhxMTMzs2I4cTEzM7NiOHExMzOzYjhxMTMz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\nhYskSZoMCxdJkjQZ/wdnJPSG4KmIpgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x108bd4ba8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "intents = [line[3] for line in data]\n",
    "races = [line[7] for line in data]\n",
    "\n",
    "homicide_race_per_hundredk = {}\n",
    "\n",
    "for k,v in enumerate(races):\n",
    "    if intents[k] == 'Homicide':\n",
    "        if v not in homicide_race_per_hundredk:\n",
    "            homicide_race_per_hundredk[v] = 1\n",
    "        else:\n",
    "            homicide_race_per_hundredk[v] += 1\n",
    "\n",
    "fig = plt.figure(figsize=(5,4))\n",
    "\n",
    "ax = fig.add_subplot(111)\n",
    "\n",
    "ax.bar(left=list(range(1,len(homicide_race_per_hundredk)+1)),height=homicide_race_per_hundredk.values(),width=0.2,color='r')\n",
    "ax.set_xticks([i+0.2/2 for i in range(1,len(homicide_race_per_hundredk)+1)])\n",
    "ax.set_xticklabels(homicide_race_per_hundredk.keys(),rotation=90)\n",
    "ax.set_title(\"Rates Of Gun Deaths Per Race Filtered by Homicide per 100,000\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Link, if any, between month and homicide rate."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x112241b38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "month_homicide = {}\n",
    "\n",
    "total_homicide = 0\n",
    "\n",
    "for line in data:\n",
    "    if line[3] == 'Homicide':\n",
    "        total_homicide += 1\n",
    "        if line[2] not in month_homicide:\n",
    "            month_homicide[line[2]] = 1\n",
    "        else:\n",
    "            month_homicide[line[2]] += 1\n",
    "            \n",
    "months = sorted(month_homicide.keys())\n",
    "\n",
    "y = []\n",
    "for m in months:\n",
    "    y.append(month_homicide[m] / total_homicide * 100) \n",
    "\n",
    "fig = plt.figure(figsize=(9,6))\n",
    "ax = fig.add_subplot(111)\n",
    "\n",
    "ax.set_xlim(0,12)    \n",
    "\n",
    "ax.bar(left=range(0,12),height=y,width=.5)\n",
    "ax.set_xticks([i+.25 for i in range(0,12)])\n",
    "ax.set_xticklabels(months)\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "#### Homicide rate by gender."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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OBUiyP7AUeCFw8hBqkqQZaxh71OcBeyfZBSDJE4CnAqe193cE5gBnTc5QSrkZOJ8m5CVJ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\n+x9dAlkQnvfB8AAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1126c0c88>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gender_homicide = {}\n",
    "\n",
    "total_homicide = 0\n",
    "    \n",
    "for line in data:\n",
    "    if line[3] == 'Homicide':\n",
    "        total_homicide += 1\n",
    "        if line[5] not in gender_homicide:\n",
    "            gender_homicide[line[5]] = 1\n",
    "        else:\n",
    "            gender_homicide[line[5]] += 1\n",
    "\n",
    "            \n",
    "gender_homicide['F'] = (gender_homicide['F'] / total_homicide) * 100\n",
    "gender_homicide['M'] = (gender_homicide['M'] / total_homicide) * 100\n",
    "\n",
    "fig = plt.figure(figsize=(4,10))\n",
    "\n",
    "ax1 = fig.add_subplot(211)\n",
    "\n",
    "ax1.bar(left=[1,2],height=gender_homicide.values(),width=0.2)\n",
    "ax1.set_ylim(0,100)\n",
    "ax1.set_xticks([i+0.2/2 for i in (1,2)])\n",
    "ax1.set_xticklabels(['Females', 'Males'])\n",
    "ax1.set_title(\"Homicide rate by gender\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "#### Gun death rates correlate to education"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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zZs30QagNc+fOZYMNJjB//pNdfR9/N2ajpxtXDm8GvgVcnV//a8DvJU2IiKcA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\nSHGIiIgRUhwiImKE/wcxbz10RzKmqgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1126b6c18>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "education_death_rate = {}\n",
    "\n",
    "for line in data:\n",
    "    if line[10] not in education_death_rate:\n",
    "        education_death_rate[line[10]] = 1\n",
    "    else:\n",
    "        education_death_rate[line[10]] += 1\n",
    "\n",
    "for k,v in education_death_rate.items():\n",
    "    education_death_rate[k] = v / len(data) * 100\n",
    "                \n",
    "fig = plt.figure(figsize=(4,10))\n",
    "\n",
    "ax1 = fig.add_subplot(211)\n",
    "ax1.set_ylim(0,100)\n",
    "ax1.bar(left=[1,2,3,4,5,6],height=education_death_rate.values(),width=0.5)\n",
    "ax1.set_xticks([i+1.5/6 for i in (1,2,3,4,5,6)])\n",
    "ax1.set_xticklabels([\"Less than High School\", \"Graduated from High School or equivalent\", \"Some College\",\n",
    "                     \"At least graduated from College\",\"Not available\",\"Not Applicable\"],rotation=90)\n",
    "ax1.set_title(\"Gun Deaths and Education Level Correlation\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "#### Gun death rates correlate to location"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Farm',\n",
       " 'Home',\n",
       " 'Industrial/construction',\n",
       " 'NA',\n",
       " 'Other specified',\n",
       " 'Other unspecified',\n",
       " 'Residential institution',\n",
       " 'School/instiution',\n",
       " 'Sports',\n",
       " 'Street',\n",
       " 'Trade/service area'}"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "places = set([line[9] for line in data])\n",
    "\n",
    "places"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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WX304M2ZM79Fx88+/IE89Nb40Rdza2kpra2u7tqlTp3b7+J4q4VeB8Zm28cAu6f/XAAHD\naD8bHgY81FnHY8aMiYi5IBjATJkyJSngi/A1/+4wnhkz9mbKlCmlKeFak8WqiLku6akSvhtYPdO2\nOmlxzswmSHoN2Bp4BEDSosDGwJ96KCsIggHJcGDgTMh6qoTHAHdLOhb3dNgYOBD4TtU+pwPHSXoW\nzyp/MvAScGXdow2CIGgyeqSEzewBSV8HTgGOByYAR5jZ36r2OVXSgsDZwBDgTmAHM5uZ37CDIAia\ngx6XNzKza4Fru9hnNDC6d0MKgiAYOETuiCAIghIJJRwEQVAioYSDIAhKJJRwEARBiYQSDoIgKJFQ\nwkEQBCUSSjgIgqBEQgkHQRCUSCjhIAiCEgklHARBUCKhhIMgCEoklHAQBEGJhBIOgiAokVDCQRAE\nJRJKOAiCoERCCQdBEJRIKOEgCIISCSUcBEFQIqGEgyAISiSUcBAEQYmEEg6CICiRUMJBEAQl0iMl\nLOlESbMzrycy+5wk6RVJ0yXdKGmVfIccBEHQPPRmJvwYMAxYKr02r2yQdDRwGHAQsBHwPjBW0rz1\nDzUIgqD5mLsXx3xsZm90sO0I4GQzuxpA0j7AZGBn4NLeDTEIgqB56c1MeFVJL0t6TtJFkj4DIGlF\nfGZ8c2VHM5sG3AdsmstogyAImoyeKuF7gf2A7YBDgBWBOyQthCtgw2e+1UxO24IgCIIMPTJHmNnY\nqrePSbofeAHYA3iynoGMGjWKwYMHt2traWmhpaWlnm6DIAgKpbW1ldbW1nZtU6dO7fbxvbEJf4KZ\nTZX0NLAKcBsgfNGuejY8DHioq77GjBnDiBEj6hlOEARBw6k1WRw3bhwjR47s1vF1+QlLWhhXwK+Y\n2QTgNWDrqu2LAhsD99QjJwiCoFnp0UxY0mnAv3ETxKeBnwEfAX9Lu5wOHCfpWWAicDLwEnBlTuMN\ngiBoKnpqjlgWuARYHHgDuAvYxMzeBDCzUyUtCJwNDAHuBHYws5n5DTkIgqB56OnCXJerZGY2Ghjd\ny/EEQRAMKCJ3RBAEQYmEEg6CICiRUMJBEAQlEko4CIKgREIJB0EQlEgo4SAIghIJJRwEQVAioYSD\nIAhKJJRwEARBiYQSDoIgKJFQwkEQBCUSSjgIgqBEQgkHQRCUSCjhIAiCEgklHARBUCKhhIMgCEok\nlHAQBEGJhBIOgiAokVDCQRAEJRJKOAiCoERCCQdBEJRIXUpY0jGSZkv6Xab9JEmvSJou6UZJq9Q3\nzCAIguak10pY0meBg4CHM+1HA4elbRsB7wNjJc1bxziDIAiakl4pYUkLAxcBBwLvZDYfAZxsZleb\n2WPAPsAywM71DDQIgqAZ6e1M+E/Av83slupGSSsCSwE3V9rMbBpwH7BpbwcZBEHQrMzd0wMkfRNY\nH9iwxualAAMmZ9onp21BEARBFT1SwpKWBU4HtjGzj/IcyKhRoxg8eHC7tpaWFlpaWvIUEwRBkCut\nra20tra2a5s6dWq3j+/pTHgksAQwTpJS2yBgS0mHAWsAAobRfjY8DHios47HjBnDiBEjejicIAiC\ncqk1WRw3bhwjR47s1vE9tQnfBKyDmyPWS68H8EW69czseeA1YOvKAZIWBTYG7umhrCAIgqanRzNh\nM3sfeKK6TdL7wJtmNj41nQ4cJ+lZYCJwMvAScGXdow2CIGgyerwwVwNr98bsVEkLAmcDQ4A7gR3M\nbGYOsoIgCJqKupWwmX2xRttoYHS9fQdBEDQ7kTsiCIKgREIJB0EQlEgo4SAIghIJJRwEQVAioYSD\nIAhKJJRwEARBiYQSDoIgKJFQwkEQBCUSSjgIgqBEQgkHQRCUSCjhIAiCEgklHARBUCKhhIMgCEok\nlHAQBEGJhBIOgiAokVDCQRAEJRJKOAiCoERCCQdBEJRIKOEgCIISCSUcBEFQIqGEgyAISiSUcBAE\nQYn0SAlLOkTSw5Kmptc9krbP7HOSpFckTZd0o6RV8h1yEARB89DTmfCLwNHACGAkcAtwpaThAJKO\nBg4DDgI2At4HxkqaN7cRB0EQNBE9UsJmdo2ZXW9mz5nZs2Z2HPAesEna5QjgZDO72sweA/YBlgF2\nznXUQRAETUKvbcKS5pL0TWBB4B5JKwJLATdX9jGzacB9wKb1DjQIgqAZmbunB0haG/gPMD/wLvB1\nM3tK0qaAAZMzh0zGlXMQBEGQocdKGHgSWA8YDOwG/FXSlvUOZNSoUQwePLhdW0tLCy0tLfV2HQRB\nUBitra20tra2a5s6dWq3j++xEjazj4Hn09uHJG2E24JPBQQMo/1seBjwUFf9jhkzhhEjRvR0OEEQ\nBKVSa7I4btw4Ro4c2a3j8/ATnguYz8wmAK8BW1c2SFoU2Bi4Jwc5QRAETUePZsKSfglcB0wCFgH2\nArYCtk27nA4cJ+lZYCJwMvAScGVO4w2CIGgqemqOWBK4AFgamAo8AmxrZrcAmNmpkhYEzgaGAHcC\nO5jZzPyGHARB0Dz0SAmb2YHd2Gc0MLqX4wmCIBhQRO6IIAiCEgklHARBUCKhhIMgCEoklHAQBEGJ\nhBIOgiAokVDCQRAEJRJKOAiCoERCCQdBEJRIKOEgCIISCSUcBEFQIqGEgyAISiSUcBAEQYmEEg6C\nICiRUMJBEAQlEko4CIKgREIJB0EQlEgo4SAIghIJJRwEQVAioYSDIAhKJJRwEARBiYQSDoIgKJEe\nKWFJx0q6X9I0SZMl/UvSajX2O0nSK5KmS7pR0ir5DTkIgqB56OlMeAvgj8DGwDbAPMANkhao7CDp\naOAw4CBgI+B9YKykeXMZcRAEQRMxd092NrMdq99L2g94HRgJ3JWajwBONrOr0z77AJOBnYFL6xxv\nEARBU1GvTXgIYMBbAJJWBJYCbq7sYGbTgPuATeuUFQRB0HT0WglLEnA6cJeZPZGal8KV8uTM7pPT\ntiAIgqCKHpkjMpwJrAlslsdARo0axeDBg9u1tbS00NLSkkf3QRAEhdDa2kpra2u7tqlTp3b7+F4p\nYUlnADsCW5jZq1WbXgMEDKP9bHgY8FBnfY4ZM4YRI0b0ZjhBEASlUWuyOG7cOEaOHNmt43tsjkgK\n+GvAF8xsUvU2M5uAK+Ktq/ZfFPemuKensoIgCJqdHs2EJZ0JtABfBd6XNCxtmmpmM9L/pwPHSXoW\nmAicDLwEXJnLiIMgCJqInpojDsEX3m7LtO8P/BXAzE6VtCBwNu49cSewg5nNrG+oQRAEzUdP/YS7\nZb4ws9HA6F6MJwiCYEARuSOCIAhKJJRwEARBiYQSDoIgKJFQwkEQBCUSSjgIgqBEQgkHQRCUSCjh\nIAiCEgklHARBUCKhhIMgCEoklHAQBEGJhBIOgiAokVDCQRAEJRJKOAiCoERCCQdBEJRIPTXmggHC\npEmTmDJlSo+OGTp0KMstt1xBIwqC5iGUcNApkyZNYvXVhzNjxvQeHTf//Avy1FPjQxEHQReEEg46\nZcqUKUkBXwQM7+ZR45kxY2+mTJkSSjgIuiCUcNBNhgNRDTsI8iYW5oIgCEoklHAQBEGJhBIOgiAo\nkVDCQRAEJdLjhTlJWwA/AkYCSwM7m9lVmX1OAg4EhgB3A4ea2bP1DzeoJvx3g6D/0xvviIWA/wHn\nApdnN0o6GjgM2AeYCPwcGCtpuJnN7P1Qg2rCfzcImoMeK2Ezux64HkCSauxyBHCymV2d9tkHmAzs\nDFza+6EG1YT/bhA0B7n6CUtaEVgKuLnSZmbTJN0HbEoo4QII/90g6M/kvTC3FGD4zLeayWlbEARB\nUEWfiZgbNWoUgwcPbtfW0tJCS0tLSSMKgiDomtbWVlpbW9u1TZ06tdvH562EXwMEDKP9bHgY8FBn\nB44ZM4YRI+KxOgiC/kWtyeK4ceMYOXJkt47P1RxhZhNwRbx1pU3SosDGwD15ygqCIGgGeuMnvBCw\nCj7jBVhJ0nrAW2b2InA6cJykZ3EXtZOBl4ArcxlxEASfEL7i/Z/emCM2BG7FF+AM+G1qvwA4wMxO\nlbQgcDYerHEnsEP4CAdBvoSveHPQGz/h2+nCjGFmo4HRvRtSEATdIXzFm4M+4x0RBEFvCV/x/kwk\n8AmCICiRUMJBEAQlEko4CIKgREIJB0EQlEgo4SAIghIJJRwEQVAioYSDIAhKJJRwEARBiYQSDoIg\nKJFQwkEQBCUSSjgIgqBEQgkHQRCUSCjhIAiCEoksakEQDCj6WiL8UMJBEAwY+mIi/FDCQRAMGPpi\nIvxQwkEQDED6TiL8WJgLgiAokVDCQRAEJRJKGGhtbW0qOdA8cprtu2m2a6C5zqdR59KewpSwpO9J\nmiDpA0n3SvpsUbLqJX6AfVdOs303/fUamDRpEuPGjZvjddZZZ9VsHzduHJMmTcpxBM2rhAtZmJP0\nDeC3wEHA/cAoYKyk1cysZw56QRCUSlduXSNHjqzZXqRbVzNRlHfEKOBsM/srgKRDgC8DBwCnFiQz\nCLqkI0f9qVOnMm7cuJrHFOmo3x/o3K1rFDCmxlHFunU1E7krYUnzACOBX1bazMwk3QRsmre8vkj8\n0PsmMaOrl1puXYNrtAU9oYiZ8FBgEDA50z4ZWL3G/vMDjB8/voChtOeNN96oqRxfeuklLr744prH\nDB06lCWWWKLbMl599VV22WU3Zs6cUXN7Rz/0eeedn8sv/ydLL710t+S0fV7XAtnP7iWg1vlMyBzb\nd+Q04rsZP358UsDfBrKf89+Bb9Q46lVmzDiXO++8k+HDu+vc37jzcZrjGmiEnMafi+u3zpCZdbvj\n7iBpaeBlYFMzu6+q/dfAlma2aWb/Pal95kEQBP2dvczsks52KGImPAWYBQzLtA8DXqux/1hgL2Ai\nUHv6GARB0L+YH1gB12+dkvtMGEDSvcB9ZnZEei9gEvAHMzstd4FBEAT9lKK8I34HnC/pQdpc1BYE\nzi9IXhAEQb+kECVsZpdKGgqchJsh/gdsZ2ZvFCEvCIKgv1KIOSIIgiDoHpE7IgiCoERCCQdBEJTI\ngEzqLmk54EXL2GKSF8dnzCzPzCNImovMZ21mM/OUEQSNQNIQYCNgSTKTuEqagl72u2539zWzR3or\npy8yIG3CkmYBS5vZ65n2xYHXzWxQDjLmB34O7AEsA6h6ex4ygt4jaXvgPTO7K73/HvAd4Ange2b2\ndpnj6wpJl3d3XzPbJSeZO+GBVQsD04Bq5WFmtlgdfc9O/SnT7xw0229noJojOvqiFya/gJFTgK8C\nxwIzge8Bv8LDtw/ISUYpSJpX0uqSisrCN0zShZJekfSxpFnVr5zEnAYsmuStg2f9uxZYEXex7OtM\nrXpNA7YGNqzaPjK1Tc1R5m+BvwALm9kQM/tU1avXCjixIrBS+rsrHiv8XWCD9Pou8FzaVjiShkv6\nTUNkDaSZsKTKj+sI4BygOpPLIGBjYJaZbZaDrBeAA8zsZknvAhuY2bOS9ge+bmZfrVdGRt5CwDH4\nD6/Wo+JKOchYEPgjsG9qWs3Mnpf0R+BlMzulXhlJznXAcsAZwKtkbphmdmUOMt4D1jaziZJGp/93\nkzQCuNbMlqpXRpWsrwNfoPb3skcO/f8aWAw4xMxmpbZBwJnANDP7Ub0yUp/vA+uY2fN59NeJnPuB\n0WZ2baZ9R+BkM6udgKV+uQsB38STi2wCPGFmaxchq5qBZhPeIP0VsA4+Q60wE3gYyOvuNxR4Jv0/\nDfhU+v824A85yajmz8BWwIXUUFw58StgPeDzwPVV7TcBo/HZfx5sDmxhZv/Lqb9azMQDiAC2ASr2\nzLdIM+Q8SDf+7wF34E9BRXwvBwCbVxQwgJnNSrLvAXJRwngI7oZAoUoY/21OqNE+AVgzb2GSNsMV\n7x7AAnhuzgPM7Mm8ZdViQClhM/sCgKTzgCPMbFqB4ibgs7lJwFPALsB/ge1wpZw3OwBfNrO7C+i7\nws7AN8zsXknVyuRxYOUc5bxIxoZeAHcBv5N0N77QVEmhthqeTisv9gV2NbOrc+wzy9zAGvh1Vs0a\n5GtyvAY4TdKawKPAR9UbzeyqnOSMB46VdGBlAVvSvLhpL5d0i5KWBPbDb2CD8bIanwf+A/ylUQoY\nBpgSrmBm+wNIWgVXHneY2QeSlPWYqIMLgc/iP/bTgCvS4s9C+MWUN2/js7giWQJ4vUb7QuQ7wzsS\nOEXSwWZINY8yAAAgAElEQVQ2Mcd+qzkMf1zfDTjUzF5O7TvQfpZfL+8Cz+bYXy3OA86VtDKeJgDc\ntHZM2pYX56S/J9TYZrhJLw8OAf4NvCSp4gmxbpKxU04yXgD+iZsmbzSz2QDuINVYBpRNuIKkxYB/\n4HY6A1ZNts2/AG+b2Q8KkLkqrpSfNbP7u9q/F/3vDXwN2NfMamctr1/GHcA/zOyPyc69rplNSDbh\nVc1s+5zkvI2bCubG7fbZGVe9i0ANQ9IBuJ3+22ZWSJbA5AL5Q1yhVBIlvwr8HvhttZmiv5Dss3vh\ns3nwGfAlZvZ+Tv0/CcwHXAJcWJn5SvoIWM/MnshDTrfGMkCV8F/xRZID8S93vaSEtwN+Z2Zr5Sxv\nrsqdtigkPYTP6oWnBc0qrrrLH0jaHLgOr3OzH3A2bqP7HLCVmT1Yr4wkZ9/OtpvZBTnIKNxNMfU3\nP3AFXlXmeeb8XjbKQ06VvEVTv0Wa2pqCKlvw7sDT+HV9Kj65KL7KRGJAmiOAbfGEQi9lHj+eAZbP\nQ0CanfwAf7T6jKQ1kqI/EZhQj2N7B1yRc39zYGZ3SVoff8x9FP8cx+EJ/B/NUU7dSrYbdPTcOR/t\nF2zr5Tx8MetSiluYI7kLfh6/EV+S2pbBvSPey1HOVvisu1Jm5AngNDO7My8ZSc63gINxt7VNzewF\nSaOA5/PwjgFI6yd3SzocaAH2x00qZ0q6BLiiEUnHBqoSXoj27mkVFgM+zEnG0fhFdDLu1lXhaeD7\ntK3G54KZ/SzP/jqR8xwe1FAoycVqZ9p+7I8DV9X7aJ1+cODK8MDkqlZhELAlkOeizFeB7fNWUtVI\nWh63Yy+H30RuxG3RR6f3h+QkZ2/8pnI5bR4+mwE3S9qvqwoSPZBzKJ6B8XTgONpszW/j6wW5KOEK\n6SZ1DnBOWnT8Nh5odSYwT56yOhrAgHvhTvknp//fxR3E58JnK//MScbTwLZVMlZK/w8H3irw3EYC\ne6fXBgXJWBJYG18s+eSVY/+rpM/vfXymPS79/ySwcp19T0iv2bjnyoSq11O4G9bGOZ7LU7hvbZHX\n8xX4QvC8mWvt88AzOcoZD4yq0X4UMD5HOU8AO6f/q89nbWBKkZ9l1RjmBnZpiKxGCOlrr/RlTsbt\nmx/ii3RP4OWX6vqRV8n4AFgh/Z9Vwu8XcE5LArck5fJWes0GbgaWyEnGSOAxvHzV7MxrVo7ncm36\nbharals8tV2Tk4xbgSENuNZ2SuezbIEy3gRWr3GtrQBMz1HOh8AqNdpXAWbkKOcDYPka57Mq8EFO\nMman67iz18dFXx9mNjDNEWb2mKTVcLPAu3i48uXAn8zs1ZzEPIUvxkzMtH8dKCIByR+BRYC1LC0q\npEerC/BHx5YcZPwFn6F+mwLtm3jQySZm9onLnZm9KekYoG4/aEnz4I/uSwPv1NtfF/wF/15ekDSN\nORfmlsxBxlzUdg9bFr++8+JF3NMj63K3TdqWFxOA9XE3smq2Jyc/Yfx32BGbAodTvK86MHBtwpjZ\nVNzuUxQ/B85OTuFzATtKWh23p3Z2AfSW7YFtrGpV18yeSL7JN+QkYyU88KBov9cPccWVZWFyWDQz\ns4+S10IjOKYBMm7AbaUHpfcmaWHgZ/gsPC9+C/whLc7ek9o2wz1ljshRzu+AP6XvSMBGklpw//oD\n8xBgNRb30u/zFPzp5WJq+0PnTyOm233xBWyBu6TcA3w6tX0LD//MS8Y2wJ14EpWPgQeAnQo6n3eB\n9Wu0b4CvkOch4wpcCRf93fwVN3tsjP8IhcfyPwqcn5OMn+A1D+cu8DzmBvYEliz481oWX7h8Ap9p\n/wevev5k3rLxCcRduAnkzfT/1wo4p71wb6WKuesl3Ne6iM9vGXxhbiYeJLJ2kd9X9jVQ/YR3xRcy\nLsYV75rm7mOHATua2Y519j8It58+aclfM+dovFoyrwSGAC1m9kpq+zR+jm+bWd2zb3ndwAvwqKzH\nKChsNeWsvQCfkVRkzA1cBexn/hRTr4x/4Y/W7+HKvV0QgOWX/nE6MNzMso/WuZJc1L6JL5IujC9m\nXmxmHxQpt2hS0qiFLePPnVPfg/Gb8ffxOphHW4FeLB2OY4Aq4YeAMWb21xT5VQnW2AC4znLIoCXp\nQ/zHV3Syk4q8z+BKai3a7HOfwZXlV82s7nwI8nyyF1I7wY1ZznleU5ThJxFTlqMZJOUP6RBLoe05\nyLkD+E1eN6ggHyT9GHfhew34ieXke9yrsQxQJTwdn/1OzCjhlfD0dXXbC5OiP9LMbq+3rx7IFG4C\nqVZcN+XY/0Tgaty9b3Je/TYzknYHfonbUx9kzhl3r8JjJX0VnzB8lP7vkHpuAJLewlOWTknh5B0q\nDKsvqfs4YGszezv9djqTk0f052zcC+Mm3BOiI1m5PBF1xkBdmHsNd6uZmGnfnPzS9P0Y+I2kY6n9\n48u9vFEyd9yYXkWwOP4EkbsCTmkXjzez99WW97kmZnZUjnKXAFZPb5+y/COk/p7+nlnVVl1BordP\nD1cAS+EJlTqLlqw3sc4o2jwsRlGcR8yVtAVKFR79ia879IkZ6EBVwucAv0/JVQxYRtKmeC7hk3OS\nMTbzN0seJZQOB/6fmc2oigSriZnlkcP4cjzp0XM59JVlA9qikzbobMc8SAli/gjsQ1u6x1kpr8j3\nLb8kSKvm1E87zGyuWv8XIOeCqv/PL0oOHg1Xya9yHvCSFZhvxcz2K6rvnjJQzRHCDfLH0pbY+0Pc\ndnd8TjK262y7mXWknHsiYwKwobkPba0k2FXicqms8VPcFeoaaueTLSJZfSFIOhs33RxGm+/x5rhP\n9Y1mdmhZY+sOGTPBX/D82Hn6BNeSWVjSI0kfA8uY2esdyWlWBqQSriBPFL0Kvpr8hOWY6KQZaYSi\nT3JqKpXK7NXM6q7RJ2kKsJuZ3ZZp/wJwqZktUa+MTL+r4QEi81a3W6aETw/6ew8PFX8+Ka2lCjCl\nZGXOTnKySngZ4DkzW6COvifhlVuuxYM1NsTd7ObAcq6GXjYDTgmnaKkPcJ/axxogb27cjzP743s6\nZzkn4DP56Zn2BYAfmdlJecorkk5mXEOB18ysbjNaWpwdaZmUhZLWAu43s4XqlZH6WxG4DI8Am6Oa\ncG9nj5JuBIbh6w374rbnmu5o9d60qkxdY4Djcbe+CpWkRyuYWa/NSJIOws1DnX23ogAvnLIZcEoY\nQNLzeLHNhwuUsTieb/dr1CgxU4A7V0Py41b1K/hkMTCvPhfFf2hv47bU6pndINxv+BQzWyYHWTfj\nwQb7WEq2nm5YF+A5K7apV0bq8yr8nL6DBx98Dl/gPA34YW+9ZyQNwxfKVsZLZ42lgwyA9fqIVz0B\nLY8HTVR7E8zEF7hPMLP76pSzSJLxCG4qerPWfkX+bkuht1Ee/fmF5z64hqoEMQXIuAC4D7czvgd8\nBQ+5fAb3281b3mxqJOoBvgi8kaOcfXB78Iz0egT4Vo7n0GlCFeCnOclaG3gZf+S9Ob2m4EpmrRw/\nrym4CyR4bcFKop2tgXE5yZgALJ73NVVDzq3ApxogZ19gvqLl9JXXQPWOOAy3Bb8iL02fdR+r2w8R\n+BKeCu/eZEt7ysyuTgsqR+GBFXVT5btpwNNqX4BzEG7vPisnWUfh3iNn0H4x6yxJQ81sTJ0ivoDP\nGm8BdqV9zbyZwAuWogHrxTyJ06q0L6HTSv5RZoNoK+w6BU8a9BSuONfo6KCeYGYr5tFPN+R8oUFy\nGpHUv88wUJXwlRTvI7gIXucL/PF6CXwWPA6v7psXR+KK6y/AiXieigozgYlm9p+cZH0fL4pZnZD+\nKkmP4yXv61LClh7Nkx11kqVpUVGY28/P6XLH+ngcDyWegId7/1DSB3jC/84WOjulBPfEyoJpZ3J6\nbXtuVFBIX2RAKmEzG90AMU/jds0X8Mf3AyQ9hZfYzi3YoTJrSHa7u83s47z6rsHStGXPquYe2gpM\n5sHywPLqoPKtmd2Rh5CUNev7tFXvGA+cYfmWO/8lUPEaOB43g/0HvzF/o45+R+F5QWak/zvCaKuC\nUS+fyryfBzfrDMGfXuqhUUEhfY6BvDD3WTN7M9M+BLfT5eFTuz8wyMz+LGljPCH5YNyueaCZXViv\njIy8HfHE6mMz7dsBc5nZdTnIeAyvePvLTPtxwDfMbJ16ZaT+ajnp1+1RkJGxK/A3PLNd5UlhE7wi\n9jfN7LI6+18JryU4xw9Mnt70TeuHVZCzyGsp/h/uonZq2ePpjwxUJdyRv+Mw4EUzm7f2kXXJHIwn\n15mYl10z0/8juCtaVglvD/zazNbLQcauuCvUTbTZhDfDF5n2MLN/1SsjyRmcaZoHj6I7GV+YuzkH\nGc/h9t8TMu0/A/Y2s5Xr7L+dt4qkvwOHWxPm3EhPFLeZWS5PQ51MKLbFJzZ1Tyj6EgPKHJFJdLKd\npGr76SBcmfTaTtcZ5ukXaz3K58Wq+IJPlifxRci6MbPL0qx+FF6EE/wRfiMzeygPGUlOrVSVN0qa\niSf8HpmDmKWpXWz1IuBHOfSftaXsiEdo5o6ky4B7zey0TPuP8Se+3YuQW8XK5KtLTqH2dzBX2hZK\nuB9TSQxiuAtZNR/h/o4/aOSAcmQqXvliYqZ9FTLeHz0l+e9WeAb4bq19LOVOLpDJtCXbqZfb8MT+\n2fSYm+OJ+PsTW1K7CsR15Hg910isJPxm9mXm/D3VQ+ETir7EgFLClhKdpEWsz5pZzbDIfsqVwOmS\nvm5elh5Jq+ApFOt1h3uH7i2U5BIQImndbBP+Yz8GT76dB1cBv5Y0Erg3tW0C7A6cWP3UZL1LBVlx\nG8y2FcHC+FpDlo+onfu5t2Qj4mbjATU/wL1z8qKwCUVfZEDZhFOmtMXN7Oqqtn3wWlwL4TPl75tZ\nzcijvkyyo16Px9xXErgvi8/qdjGzXhe0lLRV9Vs8vv9APNjhEyyn3MnJZl8J8a3mXuCAPLwXOlj8\nq4X1ZiEw9V+p5g0e7XcLBVTwkHQ/cLVlQtMljcbLaeVhvmkYKbnSpnhUa/WE4jLgv2aWS525vsJA\nU8LXA7ea2a/T+3Vwv93zcdvmj4CzG+TCljsplPhLwHp4HoFH8nLnysj5JBF+3n2n/pfPNM3Go/5m\nFCGvCNRF5Y4KlkMFD3nFk8uBS2hzFdsar7C9u5nlkp9X0i3UuKEnc9UVZvbFnOQUNqHoiww0Jfwq\nPjN4IL3/BbCVmW2e3u8O/MzM1sxJ3kZ4BdyVgb3M7BVJ38Q9JO7t/Oi+S9FKuEia9WlI0pfx9Kzr\nk27A+LWcW2WXTryKlgReNrN5ah/ZK1kNmVD0BQaUTRh3Nq92EdqK9iut/8XrstVNsin+Hfgn/mhV\nKZm0JLA3nksiN1IWtQ7JPqr2NRoYAXYCvih3dZK7DnAu7Z+GXsEjAPsNZnYNHgiSOxkb/ZqSqmsw\nDgK2J2OaqpfkX32DvEbfh0VHT5ZKbxJO9NcXHr22Zfp/XmA6Xteqsn0d4K2cZD1IKtGNRwKtlP4f\nAbxawLk9lHk9htsfp5JTopgqWe8CK+bc5ydJaNL/Hb2er1POq3gi/Mr7XwB3Vb3fHc8tXfr12sPz\nGoLb6X9JSkyVrrVP59B3dWKl2TVe7+O2+rzOZS48uvBlfMGx8ts5mYLK3pf5Gmgz4WuBUyQdjfu5\nTqe9O9K65Fe6Zw08M1eWd5gz/LNurEYu12SrOx+oK4hC0uWZpvnxpD25LTJZVRIaKzYhTcOehhpF\nmqnehN9wVwD+jCc/2gVPJL9PnSJWxBdJn8fznlSnGJ2Jp0rNM/rvODyT2o9pn9vjMTxXyrk5yiqd\nwmpT9VGOx++st+P5Xb9j7QtuHgDckJOs1/GLN8umFBQQksXcb/dE6q+bNzXzugh/ZM+254KkEyQt\nWKN9ga7MLt1gMul7kVdWGUGbixp44qWPahzXl/kdcL6ZrYrnkqhwLe5DXBdm9oKZTTSzuczsgfS+\n8no1ZwUMftM4yMwupn3u4ofJKfNcX2JAzYTN/YK3TKuv79W4eHanfdWAejgP99vdB3e3WlzSBngx\n0UbG2A9Or15jOazg95AT8fSb2WKbC6Zt9di3G/k01Cg+i2dly/IyXpG516S1jevM7KNMxOkcWO/8\nqWvxaeYMogGfNOa2+NdXGFBKuILVDovFzN6q1d5Lfo5fMP/BH9/vxWfhf7D68+7OQY3FrEqAw7fo\nf2Ge7UoAVbEe7XMM94bjcXeu2/Eb7r4FPg01ig+pHZSxGu1NB73hClyRv07npeiNnIJ1gCfwaMYX\nMu274esdTcWAclErA3lxytXxqKZHzeztguRkTRyVaKZbgF9ZwZV486Aqj+xgPBF6zQT1Zva9HGTV\nfBqStFhqn1n7yL6HpD/jJZP2wG9S6+KP8VcAd5jZkSUOr8dI+hoeBv0r3JvlRPw3tA/wFTO7scTh\n5U4o4YJINs1BWeUnr6M1yzIFOQOQtC9tCeqPpNgE9U1DuqH8Ew9uWAS31y+FP4XtaGa5hPom09rf\nLeNDnWzr37T2yf7rlbUFroDXw2++44CTzKy/PaV0SSjhgpB0DXCtmf0p034YsJ2Z7ZSjrIZWkC6a\nFCZddIL6pkPS5vgseGHcLfGmnPtvaDHZgcKAtAk3iE2oncHqZnIOBEiLJpPIzyZXNu/i1S4ehU8e\nT/fHbYWj+5OpoJGY2V3AXQWK6MhWvyw5esd8IkzakLaqJ0+Y2YN5y+gLhBIujvmprRTnwlf58+YX\nwC8lfSvnBcYyOBvPG/toqlDxd3wxbXf8s+tXNs5GIGlrPM9zdamm0/OYDUt6iLascDdLqn5CGYS7\n/F1fr5wqecviRVc3w/3qAYZIugc3e7zU4cH9kFDCxfEg8G28snI1B5JfOsZqGlFBulGsRttntDtw\nu5ntKWkzvCRRKOEqJH0X+D1uF/59at4EuFbSqKxJrBdUvCLWB8bS3o1zJp5ysq5yUBn+jHsWDTez\np+CT6h3npW3b5yirdEIJF8fxeOz72rRFzm2NR2gVcRE1ooJ0oxBtgUTbkPI8AC8CQ0sZUd/mJ8Ao\nMzujqu0Pku5O2+pSwmb2MwBJE4G/ZRfmCmAr4HMVBZzG8JSk79P/Eu53SSjhgjCz2yVtiYdeHkRb\nZqsRZvZ4AfJG591niTwAHCfpJvwHeWhqX5EcK1U3EUOobQ64Afh1jnJuAZYgpZdMWQL3xO21/y9H\nOS9SOyhjEO750VQMtLDlhmJm95nZrma2spmtbWZ7FqGAwStIp1XqbPsQeXXp/sSReDjxGcAvzKwS\nPbUbxdbp669cBXy9RvvXaHuKyINLgC8ApExqN+G5JH6RQzh5NT8C/pgW5kjyNsRNLT/MUU6fIFzU\nckTSvJWV++Q72SF5r/B3kuu1sArSjUbS/LiPdX/L7VAoko7DldPduG8wuE14M7y81Se1/6yONKAp\nmGaTZBo4HPiGmW0mr4J8lpmt1Nu+a8hZEH9SrywCVv7PrnUslofMMglzRL58IKniRzmDzm20edVj\nK62CdNGkG9mSzPnENqmE4fRlvg28DayZXhXeSdsqGFBPLuZ5aCvXtA1ttQufxEPk82JALbzGTDhH\nJG0H3GxmH0vank6UsJmNzUlmpVZarZpsn1SQtqpKEn0dSavh6Qo/l91EL2u+BfUj6T7gVjx5/A34\nrPhhSZsA/zSzZUsdYD8llHCToCaqIJ1W9T/GfYVfJXMzM7OHyxhXf0HSILxAwQt55iqR9Hk8N/Wi\nwAVmdkBq/yWwRj35pDNyRgAfmdmACNYJJVwQkh7D8+62mlk2G1SjxjDE+mFRxJQsfqTlUFV5ICDp\ndDw51LlJAd+B562ejie8uS1HWYOARauVu6QVgOnZ9Yg6ZPwXOMXMLkvBOk/gwTqfBa7pbwmJuiK8\nI4rjYtx953lJd0o6OGXoKgRJR0v6RtX7fwBvSXpZ0npFyS2IJwh/4J6wG57wHGAnvLrGGsAYPJIy\nN8xsVnZ2nRK+56KAEzWDdYD9gF1zlNMnCCVcEGb2KzNbF9gAd6s6FnhV0lWS9ihA5CG4fyWSvoQv\nnGyP5xI+rQB5RXI0cKqkz0taXNKi1a+yB9cHGQq8lv7fEfiHmT2NZ6NbJy8hkoZJulDSK5I+ljSr\n+pWXHOYM1rk2/d+UwTphjmggKXjj98C6eS8uSfoAWM3MXpT0e2B+Mzs4LXLdZ2a517UrisxiY7tN\nxMLcHKQw9e/gkZkTgEPN7BpJa+FFTHP57iVdh9esO4Patvorc5JzC65wb8IXaNc0s2dTdr0LzGyF\nPOT0FcJFrQHICzHuCbTgeV7/XYCYt/EClS/iM+DjKuLpf9nVvlD2APoZ5wGX0qYYK0l7Nsbdx/Ji\nc2ALMysi90k1R+LmvJ0ZAME6oYQLQtLyuOLdE/fdvAu3z/2joOoalwOXSHoGr7JQKWm0AbXrdfVZ\nzOz2ssfQnzCz0Wkh+DP49VXx5Z2Fe5jkxYvM6QaZO2b2CLXNKD+ifeHPpiDMEQWRHqkfxUM9LzGz\nFwuWNw9wBP5DPN/MHkrto4B3zezPRcqvl/S08JiZzU7/d0j6kQYNJkXG/QA42MwmNkBezWAdM2uq\nYJ1QwgWQ3Hg+BzxiHRQVDdpTHXad/q8VfAJhEy6NTDjxdDwY6BPyCiEeaME6YY4oADOblTKADaeA\nigMdIWlV3J5aa/ZQT5n4RrAibZWBVyxzIEGHNMo/9zw8WOcr1FgAbDZiJlwQqRrBkY2yb0r6DvB/\nwBTcXan6i7X+kNRd0knAlc1axiboHgMtWCdmwsXxY+A3ko7Fq2xksz/lHXp5HPBTM8szf2yjWRa4\nTtJM3IPkKjwXR1OFqeaJpLnxxd+xZpZ7rmVJi5rZtMr/ne1b2S8HBlSwTsyEC6ITX1dvzN9PeBpe\nbbm/5Q5uh6S58BSMO+H5cJcGbsQrh1zdBPXzckfSdLwUUO7h8aqqsFxlq59jN3K01Ur6IvBzvCrI\no8xpe85L2fcJQgkXRMqo1iF5ZVGrkncu8F8zOyvPfstG0nDaFPJI4H58htxqZi+XOba+gqTbgDF5\nBUtk+t4KuDtlBtyqs33zMr0NtGCdUMJNQjJ7HIWnGaw1e6gnj2yfQNKSuEL+KnCnmf2m5CH1CVIY\n/K/wXBG1TF/9yqWvUcq+rxBKuEBSDa6DgJWBvczsFUnfBCaa2b05y+oscbvlVfUg6HtUzRyrqbj4\nNd3MsdmIhbmCSBUv/o6XId8UmD9tWhLYG3e/yQ0z69duXZIu7+6+eeWtbSL69XefJeVY6RAzu6NR\nY2kEoYSL40TgsJTjdeeq9rvwjGqFIUngU6Ai5eRMBLX0krLyVRfIbTXaqq/lpprZhxIujjXwrFZZ\n3gEKyWgmaR88vn7V9P5p4DQzu7AIeXliZvuXPYb+jKRv4elMVwQ2NbMXJB0JTChiwa5gsr+PefAc\nKCcDP238cIol8gkXx+vUfkzclAIKb0o6Cg/WuBbYI72uB85K+SP6HZKWkLR5ei1R9nj6KpIOBX6H\nf/dDaJspvkM/LJppZlMzrylmdiMpz3TZ48ubWJgrCEkn4FUA9gHuxKseV3KxnmpmY3KWNwE40cz+\nmmnfF6/L1W/shpIWAv6If3aVicIs4K/A981sellj64tIegL4iZldIeldYD0ze17S2sBtZtbrwIcU\n+dktJVF0VKakNYAHzGzhIuU0mjBHFMfP8ceo/+CLcvfiiuT3eSvgxNLUzrV6D/mWI28EvwO2wt3R\n7k5tm+Pl2n8LHFrSuPoqKwIP1Wj/EFiozr6vqPP4HlMji57wa/gY2soeNQ2hhAvCzGYDx0s6BVgd\nWBgvxlhELmHwnMF7AL/MtH8DeKYgmUWxK7BbpkDltal6yKWEEs4yAVgfyC7QbQ+Mr6djM/tZPcf3\nkv9RO4vevcABjR9OsYQSLhgzex8Ylx6xt5D0jJk9V4CoE4G/J/eeyuxxM9wMUkRNuyJZEKiVB+H1\ntC1oz++AP0maH1dcG0lqwb1wDix1ZL0jazqbDbxhZjPKGEzRhE24ICRdBNxjZmdKmg+PZBqOmyR2\nM7OrCpA5EhiV5IDPgn5bSfDeX5B0M/AmsE/lhydpAeACYDEz26bM8fVFJO0FjMYDgwBewdcIzs1R\nxiD8+toDX9+Yt3p7XvmEBxqhhAtC0mvA9mb2vxQl9wtgBLA/8C0zG1nqAPswaUFpLDAfbaXc1wNm\nANuZ2eNlja2vI2lBYGHLtwR9pe+T8Jn1b/E1j18AK+C14E5qhtD4MgglXBCSZgCrmlc/Ph943cx+\nnGrPPZ73Cq+kHYFZ2cRAKZHQXGZ2Xe0j+yZJmeyF+1uDz+ovNrMPyhvVwEbSc8Dh5pWc38Wz9j0n\n6XBgEzPbs+Qh9kvCJlwcLwGflfQGvkDyrdQ+GJ/R5c0peKBGFqVt/UoJJze0c8oeR39A0jDgN7j9\nf0kyC1o55o5YCk8OBfAefi0DXI0HUgS9IJRwcZwBtOLhuG8At6T2zYEiHqdXBZ6q0f4ksEoB8gpF\n0sp4oEHFvv048IeCFjX7O+fjNtqTKbYc0Eu4q9gk4DlgW2Ac8FncHa5uik5S3xcJJVwQZna6pAfw\n6sfXmlmlVPeruCdD3kwFVgImZtpXIZPasK+TTChX4a5K1Z4eB0vaKUVPBW1sDmxhZkX70P4Ln23f\nhwfTXCTp2/gNIBff95S3+Czabr5NT9iEc0bSDbgCuaqRpbklnY2HRH+9MluUtApwGZ7svd+4KqUo\nrbFmdkym/RRg2/5QL6+RpIi5vRrtBSNpU/yae8bM/p1jv7dRUJL6vkgo4ZyRdBBeBeKLuCmgopAL\nLV4paTCeK2JD/LERvGbbncAuZvZOkfLzJC1qrmNmz2TaVwMeMbP5ax85MJG0LfAD4GAzm1jycOqm\n2ZLUd0Uo4YJIwRnb4Qr5y8AHtC9e+VEnh/dWpoAv4e5cH+AKq9/lXpX0InCUmf0j074H8BszW66c\nkfUdJL1Ne9vvQrh5cTpzVlXptf9uyot9nZl9lP7vkLx83wdakvpQwg0gFa/cAi/L81VgGHADnmby\nvlMQZsIAAA2WSURBVDr7/iteBHOsmb1X71j7Ain50Sjcq6OSD2MzPIvW78xswK/Ep8RM3cLMLqhD\nzmxgqapCn52Iya3Q5/KdbW+2/MmhhEtA0lq4Mp5gZn+rs68T8Nn2mngy7Ir5o98WwUwz+iPxR+xl\nUvMrwGm4h0RctEHTEEq4QCQtjEcTrYwrj7dTNNgbebvfSFoWV+xfwzOQPY7PkK9qwKp5YUhaBMDM\n3i17LH2V6rL0mfbF8SChvGao+wB/N7MPM+3zAt/MplGtU1YzJanvlEjqXhCS1gSexrOaHUdbtYC9\n8cfsXDGzl8zsTDPbDlgC+DWeve0WSS9IOiPNwPsVZvZuKOAuyWYbqzAfMDNHOefRFqBRzSJpWy40\nW5L6rgg/4eI4HfgHftFMq2q/Gii03FBSWpcCl6akK5/HZ8mbUkygSK40MAKsX5PChcEXrQ6UVL0m\nMAjYEvfQyU0ktQNBliXfGoHfB76TktRXuyk+gF8XTUUo4eLYCPiumVmqu1nhJTz8syGkIJGbqV3v\nrq9yPo2JAOvvVMpWCX90n1W1bSYeuHNIvUKqqmsYcLOkj6s2D8JNBtfXK6eKIpPU9zlCCRfHR9S+\nYFYG3spDQF8qPZMzjYoA69dUSlZJuhX3BS+qYEClusb6eHa76hl3RdlflqO8wpLU90VCCRfHNcBP\nU3JtAJO0NO6E/q+cZDS89EyDeJGO7ZxBBjP7AoCkoen9lJz7/1nqfyK+MFd0cvVmS1LfKeEdURCS\nFsOV7XBgMfzuviyeD2HbWGzqmGaLACsSSUPwvL7foG3x923gb8BxRURKJm+IJcks7OcZpt+IJPV9\nhVDCBSNpG2BdvMbcODyZT2dO7wOSRkWANRPpRv8f4NPAxbQ9qq+JZyJ7EfhcXmYKSasCfwE+l91E\nQZFsRSap7yuEEm4S+nvpmUZFgDUTkk7HPUi2yfqdS1oKj8q82cxG1Tq+F/LuBj7GXSznWDA1s4dr\nHRd0TijhHEnJe7qFmf2/nGVH6ZkBRrLRHpytplK1fXvgLDNbISd57wMjzSxPt7dacgaUi2Io4RyR\n9GqmaTAwP55MB2ABvKrGO2a2DDnSTKVnOinVtC0wqL+VaioKSR8CK5vZSx1sXxZ4Nq+sc5L+C4wy\ns7vy6K8TOdfhT3NnUHvG3VQRc+EdkSNmtnTlf0m74YtLh1Qe0yStB5yJB3LkTTOVnumoVNNc9MNS\nTQUyBX/aqamEcX/bXNwhE0cDp0r6CX6tZW3102oe1XMGlItihC0Xx6+A71fbydL/R1JA2DJtpWeg\nrfQM5Fh6poE0VammAhkL/CJ5K7RD0nz4zTfPIIqbgE3wwJ/XcS+Mt/Fw4jx9lAeUi2LMhItjWaCj\nvKhL12ivl8JLzzSQpinVVDAn4KG8z0j6E36TEu4W+V08d8S3Oj68x3whx74640jgFEkDwkUxbMIF\nIelaYCiwn5k9kdrWwl183jSzHQuWX0jpmUbQTKWaikbSiriJa1vaZo8G3AgcZmbPljW2njCQXRRD\nCRdEio67GE+eU5m9LQjcjtcDyy7iBYkOSjV9BriDflaqqVFI+hRuxgFfjMvTFlwtZwvgYPxJZXcz\nezmlnZxQz4LdQHZRDCVcMJLWBdZIb8eb2aOd7d/DvhteeqZR1CjV9LCZ3VnuqAY2knbFMwBejJs5\n1jSz5yUdBuxY9NNdsxJKuB9TRumZIkkmlMXN7Oqqtn2Bn+FPEVfgi539baGxKUgJo8aY2V+TG+R6\nSQlvgE8GcskO2Kgk9X2FWJgrkOR0/mVqR7D9pN7+zWyuWv/3Y07ASzRdDSBpHeAc4AI8JPdHeA6B\n0eUMb8CzOm4SyjIVT76eF41KUt8nCCVcEJK2wqsrT8Z9OZ/B7ZqzgCdyljUPbkM9xDJl4vsZ6wPH\nV73/JnC/mX0HPqnC/DNCCZfFa7iHysRM++bA8/V2XkKS+j5BKOHiOAU408yOSY9uX8Ed5y8GLs9T\nULIJr5tnnyXxKfymVWEr2gdm/Be/kQXlcA7we0kH4IpymWRC+g35BAQ1JEl9XyOUcHGsRZuP5sfA\nAmb2jqTjcFervFPyXQR8Gzimqx37MJPxKK8XUwDCCODEqu2LkHFXChrKKXiA1824jf4OPBDoN2b2\nx3o7b2CS+j5FKOHi+IC2z/c13KXncVwhL1mAvLmBA1LqzAfJBDWY2VEFyMyba3En/aPxxEPTgWqP\niHXxaMCgBMxX8X8h6TTcLLEw8ISZvdf5kT2WU2iS+r5GKOHiuB/Pu/okHl56qqTVgN3xx+q8WRvP\nVwywWgH9N4LjcVPN7Xj+i33NrHoh5v+3d/+hdtd1HMefr/kjxZoRaSXmDwyaMBZqWbAEZVupoVSL\n8s+2kS0MFC1HBTMUFMkfqBFh6PyVIEK6hVYUgmiDakm1tUSl1qwWRD+Wy9FNe/fH53M65x7uvbv3\nnO/3fO73s9cDLt7zvYfzfcOZ7/M5nx/v93pSeUYrKL8nja5r9MxUpD4f5GitSH1p3qLWEknvJhWj\n/rmkpcCdpKT8IqnamUd0s8iHNQ7kJqWD19+Sr1e3Qr5YSZr3+kVEfHzMe020SP1i4ZFwC3KB9ePJ\nK7m5utSnW77nvcCVw22TJB0H3BUR69u8f5MiYsb26W2dArM5Db4XAj6Wr+3I184hbU9rYrF5M2kB\n7owZitRvJn0L2kx/Aa8KHgm3JNd6PTMixt66M8/7zbbB/a3AnyPCH7g2Fkk3k/olbux9S8kDjm8A\n/4yImcqPLuT19zDBIvWLhf/HbM9u0naqVpNwnupQ/nmTpMFOuEcAF5PKDpqNaz3wwcFpooh4XdJt\nwHZmrgG9EO8gLV7PZhepbnZVnITbcy1wi6QvMfNuhabmNf9B2rMZwAsz/D2Yvs3LbFRHkuqgDNd6\nXkYztcknXaR+UXASbs8Phv47rKnz7xeQRsFPAWuZ/o90Cvh9RPypoXvZ4W0LcI+kM0i7fwDeT9qb\nvqWB1+8VqV8zPEhpqUj9ouA54ZZI+vBcf59t3muM+50K7A2/odYSSUuALwBX0m9MsA+4A7h1eDfL\nCK9/MmnB79/AbEXq3xsRL49zn8XGSbhheRX3loh4dcL3vZC0fevZ/PgK4DOkuekratvWY2XltYgm\n+8r1XreKIvUL4STcsNl2KUzgvjuBTRHxZK4+tgO4lTRd8XxErJtkPGbjmFSR+sXAc8LNK9Wg8HT6\np5jWAt+NiC9LOpt0HNhswSQ9B6yKiL/nesKzjtoi4uym7pu/uf30kE+sgJNwO0p8vZgiFVUBWA08\nkH//G7C0QDxWh630u3U/XjKQWnk6omG5w8V+DpGIm25WKGkbqXD8j0k1GE7P/b8+BHw9IrpaT8Ks\nah4Jt+M6ph/3nITPkxY0PgF8LiL+mK9fRIXbemzyJL2TVEztD/nxuaSaDrsj4u6iwXWYR8ING+z7\nVjoWsyZJega4OyIelPR20uGgXaQFtLsi4vqiAXaUR8LNK/KpJumUuf4eEXsnFYtVazn9xbJPAjsj\nYmWe8vom4CQ8Aifh5pXaHbGHuT8AqupQa0UcRX+RbjWwLf/+PP3DG7ZATsINK9j1+Kyhx0fla1cD\nX5l8OFahXwMbJT0BrKHflPUk4K/Fouo4zwlXTtJHgC9GxPmlY7Fuk3Q+8Bhpy+P9vRrVkm4Elo1b\n1P1w5SRcOUnvAn4ZEceVjsW6L9cPXjp4DF7SacCrXowejacjKtE7yz94iTRP91VSSyWzJgg4J1dS\nezh3cpkiNWW1ETgJ16NXV3iQSH25Lpt8OFabXKnv+8AppIpmPwReATblxxvLRdddTsL1uGDo8X+B\nv5CKn7xWIB6rzx2kwlDvYfpC3GPAt4pEVAEn4UpExNOlY7DqnUfqdjwlTduJuYfUIdlG4CTcYZIu\nne9zI2LboZ9lNqclzLzf/GTStISNwLsjOiwfkR4UTD8s8v83NyJ8WMPGIukRYH9EXC7pFWAFacpr\nK6mri2tWj6DUwQJrQEQs6f2QOhH8glSw583552LgOeDCclFaRa4BVkraDRwDPEx/KmJTwbg6zSPh\nSkjaBWzstTcauH4eqejKmWUis5pIOhL4FGlx7o2kD/lvR8TBooF1mJNwJSQdBN4XEbuGrq8AfhIR\nx5aJzA4Hko51Ih6NpyPq8TPgNklv613Iv3+Nw6RNjE2epDdIugb4XelYuspJuB7rSSfk9kp6SdJL\nwF7SfN2GopFZp+VEe5OkHZK2S/povr6OlHyvAm4vGmSHeTqiIkqbN9cAy/Kl3wA/Cr/JNgZJNwOf\nJZ2QWwmcAGwBPgDcCDwaEa+Xi7DbnITNbE6SfgtcFRHbJC0HfgXcB2zwB/z4nIQrImkVsAo4kaGp\npl7ZQbOFkjRFbhybHx8Ezo2InWUjq4NPzFVC0nXAZtLZ/n0UarNkVTqCVCmt5zXgQKFYquORcCUk\n7QOujYgHS8didcknM79Hv7XRJcBTwL8Gn+ei7qPxSLgeRwPbSwdhVbp/6PFDRaKolEfClcgr2Aci\n4obSsZjZ/HkkXI9jgMslrSatXv9n8I8RcXWRqMxsTk7C9VhBKuADsLxkIGY2f56OMDMryCPhjpP0\nnXk8LSJibevBmNmCOQl33/7SAZjZ6DwdYWZWkKuomZkV5CRsZlaQk7CZWUFOwmZmBTkJm5kV5CRs\nZlaQk7CZWUH/AyyCzZ2RveABAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1126e2588>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "location_death_rate = {}\n",
    "\n",
    "for line in data:\n",
    "    if line[9] not in location_death_rate:\n",
    "        location_death_rate[line[9]] = 1\n",
    "    else:\n",
    "        location_death_rate[line[9]] += 1\n",
    "\n",
    "for k,v in location_death_rate.items():\n",
    "    location_death_rate[k] = v / len(data) * 100\n",
    "                \n",
    "fig = plt.figure(figsize=(4,6))\n",
    "\n",
    "ax1 = fig.add_subplot(211)\n",
    "ax1.bar(left=[1,2,3,4,5,6,7,8,9,10,11],height=location_death_rate.values(),width=0.5)\n",
    "ax1.set_ylim(0,65)\n",
    "ax1.set_xticks([i+2.5/11 for i in (1,2,3,4,5,6,7,8,9,10,11)])\n",
    "ax1.set_xticklabels(places,rotation=90)\n",
    "ax1.set_title(\"Gun Deaths and Place Correlation\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "---\n",
    "### That's it!\n",
    "\n",
    "Many more questions can be asked. Why don't you try it yourself?\n",
    "\n",
    "Prepared by Issam Hijazi\n",
    "\n",
    "https://ae.linkedin.com/in/ihijazi\n",
    "\n",
    "@iHijazi"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [default]",
   "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": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}