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@gunessenturk
Last active December 7, 2018 03:05
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LA stolen vehicles
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import datetime as ddtt\n",
"import matplotlib.pyplot as plt\n",
"from datetime import timedelta\n",
"import numpy as np\n",
"import folium"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Stolen Vehicles in Los Angeles"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This is an exploratory analysis of reported stolen vehicle data in the city of Los Angeles from January 2010 to December 2017. The dataset was obtained from [here](https://data.lacity.org/A-Safe-City/Crime-Data-from-2010-to-Present/y8tr-7khq)."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"# Load the data\n",
"LA_crime = pd.read_csv('LA_Crime_Data_from_2010_to_Present.csv')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Data cleaning"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"# Clean column 'Location'\n",
"LA_crime['Location '] = LA_crime['Location '].str.replace('\\(','')\n",
"LA_crime['Location '] = LA_crime['Location '].str.replace('\\)','')"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"# Add columns 'Latitude', 'Longitude', 'Year Occurred', 'Month Occurred', 'Day Occurred'\n",
"LA_crime['Latitude'] = LA_crime['Location '].str.replace(',.*', '').astype('float')\n",
"LA_crime['Longitude'] = LA_crime['Location '].str.replace('.*,', '').astype('float')\n",
"LA_crime['Year Occurred'] = LA_crime['Date Occurred'].str.replace('.*/', '').astype('int')\n",
"LA_crime['Month Occurred'] = ( LA_crime['Date Occurred']\n",
" .str.replace('/.*/.*', '').astype('int') )\n",
"LA_crime['Day Occurred'] = ( LA_crime['Date Occurred']\n",
" .str.replace('^\\d\\d/', '').str.replace('/.*', '').astype('int') )"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"# Convert 'Date Occurred' and 'Date Reported' to datetime\n",
"LA_crime['Date Occurred'] = pd.to_datetime(LA_crime['Date Occurred'], format='%m/%d/%Y')\n",
"LA_crime['Date Reported'] = pd.to_datetime(LA_crime['Date Reported'], format='%m/%d/%Y')"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"LA_crime['Time from Occurred to Reported'] = LA_crime['Date Reported'] - LA_crime['Date Occurred']"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"# Add column 'Weekday Occurred'\n",
"LA_crime['Weekday Occurred'] = LA_crime['Date Occurred'].apply(lambda x: ddtt.datetime.weekday(x))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Include population data"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Get estimated population data (2018 excluded), clean, merge with stolen vehicle data. Population data were obtained from [here](https://factfinder.census.gov)."
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"est_census = pd.read_csv('LA_PEP_2017_PEPANNRES/PEP_2017_PEPANNRES_with_ann.csv')\n",
"est_census = est_census.drop(est_census.index[0]).drop(['GEO.id', 'GEO.id2', 'GEO.display-label', \n",
" 'rescen42010', 'resbase42010'], axis=1)\n",
"est_census = pd.DataFrame(est_census.iloc[0]).reset_index()\n",
"est_census['index'] = est_census['index'].str.replace('respop7', '').astype('int')\n",
"est_census[1] = est_census[1].astype('int')\n",
"est_census.rename(columns={'index': 'Year Occurred', 1:'Estimated Population'} , inplace=True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Plot the three most frequently reported crime types grouped by year, 2018 excluded"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"LA_crime_batry_simple_asslt = ( LA_crime[LA_crime['Crime Code Description'] == 'BATTERY - SIMPLE ASSAULT'][['Year Occurred', 'DR Number']]\n",
" .groupby(['Year Occurred']).count().drop(labels=2018, axis=0)\n",
" .rename(columns={'DR Number':'Battery - simple assault'}) )\n",
"LA_crime_batry_simple_asslt = pd.merge(LA_crime_batry_simple_asslt, est_census, how='inner', left_index=True, right_on='Year Occurred')\n",
"LA_crime_batry_simple_asslt['Per 1000 people'] = (1000 * LA_crime_batry_simple_asslt['Battery - simple assault'] \n",
" / LA_crime_batry_simple_asslt['Estimated Population'])\n",
"\n",
"LA_crime_brglry_from_vehic = ( LA_crime[LA_crime['Crime Code Description'] == 'BURGLARY FROM VEHICLE'][['Year Occurred', 'DR Number']]\n",
" .groupby(['Year Occurred']).count().drop(labels=2018, axis=0)\n",
" .rename(columns={'DR Number':'Burglery from vehicle'}))\n",
"LA_crime_brglry_from_vehic = pd.merge(LA_crime_brglry_from_vehic, est_census, how='inner', left_index=True, right_on='Year Occurred')\n",
"LA_crime_brglry_from_vehic['Per 1000 people'] = (1000 * LA_crime_brglry_from_vehic['Burglery from vehicle'] \n",
" / LA_crime_brglry_from_vehic['Estimated Population'])\n",
"\n",
"LA_crime_vehicle_stolen = ( LA_crime[LA_crime['Crime Code Description'] == 'VEHICLE - STOLEN'][['Year Occurred', 'DR Number']]\n",
" .groupby(['Year Occurred']).count().drop(labels=2018, axis=0)\n",
" .rename(columns={'DR Number':'Vehicle - stolen'}))\n",
"LA_crime_vehicle_stolen = pd.merge(LA_crime_vehicle_stolen, est_census, how='inner', left_index=True, right_on='Year Occurred')\n",
"LA_crime_vehicle_stolen['Per 1000 people'] = (1000 * LA_crime_vehicle_stolen['Vehicle - stolen'] \n",
" / LA_crime_vehicle_stolen['Estimated Population'])"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x125df03c8>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(16,8))\n",
"ax1 = plt.subplot(2, 2, 1)\n",
"plt.ylim(0, 6)\n",
"plt.plot(LA_crime_batry_simple_asslt['Year Occurred'], \n",
" LA_crime_batry_simple_asslt['Per 1000 people'], '-o', \n",
" label=\"Battery - simple assault\") \n",
"plt.plot(LA_crime_brglry_from_vehic['Year Occurred'], \n",
" LA_crime_brglry_from_vehic['Per 1000 people'], '-o', \n",
" label=\"Burglery from vehicle\")\n",
"plt.plot(LA_crime_vehicle_stolen['Year Occurred'], \n",
" LA_crime_vehicle_stolen['Per 1000 people'], '-o', \n",
" label=\"Vehicle - stolen\")\n",
"plt.title('Number of Crimes per 1000 People\\n (Three most frequently reported crimes)')\n",
"plt.legend(loc=4, frameon=True);"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Focus on stolen vehicle data"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"# Subset of data keeping stolen vehicle cases only\n",
"LA_ve_st = LA_crime[LA_crime['Crime Code Description'] == 'VEHICLE - STOLEN']\n",
"LA_ve_st = pd.merge(LA_ve_st, est_census, how='outer', left_on='Year Occurred', right_on='Year Occurred')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Make a new data frame with stolen vehicle data grouped by year. Calculate total stolen vehicles per 1000 people and total number of arrests per 100 stolen vehicles for each year."
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"LA_ve_st_by_year = LA_ve_st[['Year Occurred', 'DR Number']].groupby(['Year Occurred']).count()\n",
"LA_ve_st_by_year = pd.merge(LA_ve_st_by_year, est_census, how='inner', left_index=True, right_on='Year Occurred')\n",
"# del est_census\n",
"LA_ve_st_by_year.rename(columns={'DR Number': 'Total Stolen Vehicles'}, inplace=True)\n",
"LA_ve_st_by_year['Stolen Vehicle per 1000 People'] = (1000 * LA_ve_st_by_year['Total Stolen Vehicles'] \n",
" / LA_ve_st_by_year['Estimated Population'])"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [],
"source": [
"LA_ve_st_by_year['Total Arrests'] = ( LA_ve_st[(LA_ve_st['Status Description'] == 'Adult Arrest') \n",
" | (LA_ve_st['Status Description'] == 'Juv Arrest') ][['Year Occurred', 'DR Number']]\n",
" .groupby(['Year Occurred']).count()['DR Number'].drop(index=2018).values )\n",
"\n",
"\n",
"LA_ve_st_by_year['Total Arrests per 100 Stolen Vehicle'] = 100 * LA_ve_st_by_year['Total Arrests'] / LA_ve_st_by_year['Total Stolen Vehicles']"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Total Stolen Vehicles</th>\n",
" <th>Year Occurred</th>\n",
" <th>Estimated Population</th>\n",
" <th>Stolen Vehicle per 1000 People</th>\n",
" <th>Total Arrests</th>\n",
" <th>Total Arrests per 100 Stolen Vehicle</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>16657</td>\n",
" <td>2010</td>\n",
" <td>3796060</td>\n",
" <td>4.387971</td>\n",
" <td>223</td>\n",
" <td>1.338776</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>15165</td>\n",
" <td>2011</td>\n",
" <td>3824592</td>\n",
" <td>3.965129</td>\n",
" <td>312</td>\n",
" <td>2.057369</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>14821</td>\n",
" <td>2012</td>\n",
" <td>3859267</td>\n",
" <td>3.840367</td>\n",
" <td>535</td>\n",
" <td>3.609743</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>13940</td>\n",
" <td>2013</td>\n",
" <td>3891783</td>\n",
" <td>3.581906</td>\n",
" <td>661</td>\n",
" <td>4.741750</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>13697</td>\n",
" <td>2014</td>\n",
" <td>3922668</td>\n",
" <td>3.491756</td>\n",
" <td>689</td>\n",
" <td>5.030299</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>16058</td>\n",
" <td>2015</td>\n",
" <td>3953459</td>\n",
" <td>4.061760</td>\n",
" <td>924</td>\n",
" <td>5.754141</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>18318</td>\n",
" <td>2016</td>\n",
" <td>3981116</td>\n",
" <td>4.601222</td>\n",
" <td>1062</td>\n",
" <td>5.797576</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>18922</td>\n",
" <td>2017</td>\n",
" <td>3999759</td>\n",
" <td>4.730785</td>\n",
" <td>1265</td>\n",
" <td>6.685340</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Total Stolen Vehicles Year Occurred Estimated Population \\\n",
"0 16657 2010 3796060 \n",
"1 15165 2011 3824592 \n",
"2 14821 2012 3859267 \n",
"3 13940 2013 3891783 \n",
"4 13697 2014 3922668 \n",
"5 16058 2015 3953459 \n",
"6 18318 2016 3981116 \n",
"7 18922 2017 3999759 \n",
"\n",
" Stolen Vehicle per 1000 People Total Arrests \\\n",
"0 4.387971 223 \n",
"1 3.965129 312 \n",
"2 3.840367 535 \n",
"3 3.581906 661 \n",
"4 3.491756 689 \n",
"5 4.061760 924 \n",
"6 4.601222 1062 \n",
"7 4.730785 1265 \n",
"\n",
" Total Arrests per 100 Stolen Vehicle \n",
"0 1.338776 \n",
"1 2.057369 \n",
"2 3.609743 \n",
"3 4.741750 \n",
"4 5.030299 \n",
"5 5.754141 \n",
"6 5.797576 \n",
"7 6.685340 "
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"LA_ve_st_by_year"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Visualizations\n",
"- Histograms of number of reported crimes and arrests by year\n",
"- Histograms of number of reported crimes by time of day and by day of month\n",
"- Map of total reported crimes by reporting districts"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x131ca2860>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(16,10))\n",
"plt.subplot(2, 2, 1)\n",
"bars = plt.bar(x=LA_ve_st_by_year['Year Occurred'], \n",
" height=LA_ve_st_by_year['Stolen Vehicle per 1000 People'])\n",
"plt.tick_params(top='off', bottom='off', left='off', \n",
" right='off', labelleft='off', labelbottom='on')\n",
"plt.title('Vehicles Stolen per 1000 People - Los Angeles City')\n",
"for bar in bars:\n",
" plt.gca().text(bar.get_x() + bar.get_width()/2, bar.get_height() - 0.5, \n",
" '{:.2f}'.format(bar.get_height()), \n",
" ha='center', color='w', fontsize=12)\n",
" \n",
"plt.subplot(2, 2, 2)\n",
"bars = plt.bar(x=LA_ve_st_by_year['Year Occurred'], \n",
" height=LA_ve_st_by_year['Total Arrests per 100 Stolen Vehicle'])\n",
"plt.tick_params(top='off', bottom='off', left='off', \n",
" right='off', labelleft='off', labelbottom='on')\n",
"plt.title('Number of Arrests per 100 Stolen Vehicles - Los Angeles City')\n",
"for bar in bars:\n",
" plt.gca().text(bar.get_x() + bar.get_width()/2, bar.get_height() - 0.5, \n",
" '{:.2f}'.format(bar.get_height()), \n",
" ha='center', color='w', fontsize=12)\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x125df0358>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(16,10))\n",
"plt.subplot(2, 2, 1)\n",
"plt.title('Stolen Vehicle by Time of Day', fontsize=14)\n",
"_ = plt.hist(LA_ve_st['Time Occurred'], bins=24)\n",
"\n",
"plt.subplot(2, 2, 2)\n",
"plt.title('Stolen Vehicle by Day of Month', fontsize=14)\n",
"_ = plt.hist(LA_ve_st['Day Occurred'], bins=31)\n"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [],
"source": [
"rd_lat_lon = LA_ve_st[['Reporting District', 'Latitude', 'Longitude']]\n",
"# eliminate zero entries for lat and long\n",
"rd_lat_lon = rd_lat_lon.loc[ (rd_lat_lon['Latitude'] > 0) & (rd_lat_lon['Longitude'] < 0) ]"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [],
"source": [
"groupby_repdist = rd_lat_lon[['Latitude', 'Longitude']].groupby(rd_lat_lon['Reporting District'])\n",
"groupby_repdist_2 = LA_ve_st[['DR Number']].groupby(LA_ve_st['Reporting District'])"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [],
"source": [
"rd_lat_lon = groupby_repdist.mean()\n",
"rd_crime_count = groupby_repdist_2.count()"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [],
"source": [
"rd_crime_count.rename(columns={'DR Number': 'Total Vehicles Stolen'}, inplace=True)"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [],
"source": [
"rep_dist = pd.merge(rd_lat_lon, rd_crime_count, right_index=True, left_index=True)"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Latitude</th>\n",
" <th>Longitude</th>\n",
" <th>Total Vehicles Stolen</th>\n",
" </tr>\n",
" <tr>\n",
" <th>Reporting District</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>101</th>\n",
" <td>34.067816</td>\n",
" <td>-118.246563</td>\n",
" <td>146</td>\n",
" </tr>\n",
" <tr>\n",
" <th>105</th>\n",
" <td>34.070450</td>\n",
" <td>-118.232110</td>\n",
" <td>62</td>\n",
" </tr>\n",
" <tr>\n",
" <th>109</th>\n",
" <td>34.073875</td>\n",
" <td>-118.228050</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>111</th>\n",
" <td>34.061821</td>\n",
" <td>-118.243218</td>\n",
" <td>294</td>\n",
" </tr>\n",
" <tr>\n",
" <th>112</th>\n",
" <td>34.052750</td>\n",
" <td>-118.262675</td>\n",
" <td>12</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Latitude Longitude Total Vehicles Stolen\n",
"Reporting District \n",
"101 34.067816 -118.246563 146\n",
"105 34.070450 -118.232110 62\n",
"109 34.073875 -118.228050 4\n",
"111 34.061821 -118.243218 294\n",
"112 34.052750 -118.262675 12"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"rep_dist.head()"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x119fd9da0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"rep_dist.plot(kind='scatter', x='Longitude', y='Latitude', alpha=0.6, \n",
" c='Total Vehicles Stolen', cmap=plt.get_cmap('jet'), colorbar=True, figsize=(10,7))\n",
"plt.subplots_adjust(bottom=0.1)\n",
"plt.title('Total Vehicles Stolen by Reporting District', fontsize=22)\n",
"_ = plt.gca().set_xlabel('Longitude', fontsize=18)\n",
"_ = plt.gca().set_ylabel('Latitude', fontsize=18)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The horizontal axis represents the longitude."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
" "
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"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": "3.6.4"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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