diff --git a/la_crime_analysis/LA Crime Data 2020-2023.ipynb b/la_crime_analysis/LA Crime Data 2020-2023.ipynb new file mode 100644 index 0000000..5ff374f --- /dev/null +++ b/la_crime_analysis/LA Crime Data 2020-2023.ipynb @@ -0,0 +1,4064 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "from pandas import read_csv\n", + "import numpy as np\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "# reading the csv file " + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [], + "source": [ + "df_crimes= pd.read_csv('Crime_Data_from_2020_to_Present (version 1).csv', index_col='DATE OCC')" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " DR_NO Date Rptd TIME OCC AREA AREA NAME Rpt Dist No \\\n", + "DATE OCC \n", + "1/8/2023 230804266 1/8/2023 1030 8 West LA 839 \n", + "1/26/2023 231604807 1/27/2023 1800 16 Foothill 1663 \n", + "3/22/2023 231606525 3/22/2023 1000 16 Foothill 1602 \n", + "4/12/2023 231210064 4/12/2023 1630 12 77th Street 1239 \n", + "3/5/2023 230906458 3/5/2023 900 9 Van Nuys 914 \n", + "\n", + " Part 1-2 Crm Cd \\\n", + "DATE OCC \n", + "1/8/2023 1 341 \n", + "1/26/2023 2 740 \n", + "3/22/2023 1 230 \n", + "4/12/2023 1 230 \n", + "3/5/2023 2 745 \n", + "\n", + " Crm Cd Desc \\\n", + "DATE OCC \n", + "1/8/2023 THEFT-GRAND ($950.01 & OVER)EXCPT,GUNS,FOWL,LI... \n", + "1/26/2023 VANDALISM - FELONY ($400 & OVER, ALL CHURCH VA... \n", + "3/22/2023 ASSAULT WITH DEADLY WEAPON, AGGRAVATED ASSAULT \n", + "4/12/2023 ASSAULT WITH DEADLY WEAPON, AGGRAVATED ASSAULT \n", + "3/5/2023 VANDALISM - MISDEAMEANOR ($399 OR UNDER) \n", + "\n", + " Mocodes ... Status Status Desc Crm Cd 1 Crm Cd 2 \\\n", + "DATE OCC ... \n", + "1/8/2023 0344 1822 ... IC Invest Cont 341.0 NaN \n", + "1/26/2023 1300 0329 ... IC Invest Cont 740.0 NaN \n", + "3/22/2023 0416 0411 1822 ... IC Invest Cont 230.0 NaN \n", + "4/12/2023 0601 0445 0416 0359 ... IC Invest Cont 230.0 NaN \n", + "3/5/2023 0329 1822 ... IC Invest Cont 745.0 NaN \n", + "\n", + " Crm Cd 3 Crm Cd 4 LOCATION \\\n", + "DATE OCC \n", + "1/8/2023 NaN NaN 10200 SANTA MONICA BL \n", + "1/26/2023 NaN NaN 12500 BRANFORD ST \n", + "3/22/2023 NaN NaN 12800 FILMORE ST \n", + "4/12/2023 NaN NaN 6100 S VERMONT AV \n", + "3/5/2023 NaN NaN 14500 HARTLAND ST \n", + "\n", + " Cross Street LAT LON \n", + "DATE OCC \n", + "1/8/2023 NaN 34.0611 -118.4184 \n", + "1/26/2023 NaN 34.2466 -118.4054 \n", + "3/22/2023 NaN 34.2790 -118.4116 \n", + "4/12/2023 NaN 33.9841 -118.2915 \n", + "3/5/2023 NaN 34.1951 -118.4487 \n", + "\n", + "[5 rows x 27 columns]" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Defining the tail of the dataset\n", + "df_crimes.tail()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(708084, 27)" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# getting access to the shape of the attribute\n", + "df_crimes.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['1/8/2020', '1/1/2020', '2/13/2020', '1/1/2020', '1/1/2020', '1/1/2020',\n", + " '1/2/2020', '1/4/2020', '1/4/2020', '5/26/2020',\n", + " ...\n", + " '2/2/2023', '4/2/2023', '2/5/2023', '3/2/2023', '1/12/2023', '1/8/2023',\n", + " '1/26/2023', '3/22/2023', '4/12/2023', '3/5/2023'],\n", + " dtype='object', name='DATE OCC', length=708084)" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# getting access to the index of the attribute\n", + "df_crimes.index" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['DR_NO', 'Date Rptd', 'DATE OCC', 'TIME OCC', 'AREA', 'AREA NAME',\n", + " 'Rpt Dist No', 'Part 1-2', 'Crm Cd', 'Crm Cd Desc', 'Mocodes',\n", + " 'Vict Age', 'Vict Sex', 'Vict Descent', 'Premis Cd', 'Premis Desc',\n", + " 'Weapon Used Cd', 'Weapon Desc', 'Status', 'Status Desc', 'Crm Cd 1',\n", + " 'Crm Cd 2', 'Crm Cd 3', 'Crm Cd 4', 'LOCATION', 'Cross Street', 'LAT',\n", + " 'LON'],\n", + " dtype='object')" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# getting access to the columns of the attribute\n", + "df_crimes.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "DR_NO int64\n", + "Date Rptd object\n", + "TIME OCC int64\n", + "AREA int64\n", + "AREA NAME object\n", + "Rpt Dist No int64\n", + "Part 1-2 int64\n", + "Crm Cd int64\n", + "Crm Cd Desc object\n", + "Mocodes object\n", + "Vict Age int64\n", + "Vict Sex object\n", + "Vict Descent object\n", + "Premis Cd float64\n", + "Premis Desc object\n", + "Weapon Used Cd float64\n", + "Weapon Desc object\n", + "Status object\n", + "Status Desc object\n", + "Crm Cd 1 float64\n", + "Crm Cd 2 float64\n", + "Crm Cd 3 float64\n", + "Crm Cd 4 float64\n", + "LOCATION object\n", + "Cross Street object\n", + "LAT float64\n", + "LON float64\n", + "dtype: object" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# dataype of each column \n", + "df_crimes.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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2/13/20202001104444/14/202012001Central1552845SEX OFFENDER REGISTRANT OUT OF COMPLIANCE1501...AAAdult Arrest845.0NaNNaNNaN200 E 6TH STNaN34.0448-118.2474
1/1/20201915015051/1/2020173015N Hollywood15432745VANDALISM - MISDEAMEANOR ($399 OR UNDER)0329 1402...ICInvest Cont745.0998.0NaNNaN5400 CORTEEN PLNaN34.1685-118.4019
1/1/20201919212691/1/202041519Mission19982740VANDALISM - FELONY ($400 & OVER, ALL CHURCH VA...329...ICInvest Cont740.0NaNNaNNaN14400 TITUS STNaN34.2198-118.4468
..................................................................
1/8/20232308042661/8/202310308West LA8391341THEFT-GRAND ($950.01 & OVER)EXCPT,GUNS,FOWL,LI...0344 1822...ICInvest Cont341.0NaNNaNNaN10200 SANTA MONICA BLNaN34.0611-118.4184
1/26/20232316048071/27/2023180016Foothill16632740VANDALISM - FELONY ($400 & OVER, ALL CHURCH VA...1300 0329...ICInvest Cont740.0NaNNaNNaN12500 BRANFORD STNaN34.2466-118.4054
3/22/20232316065253/22/2023100016Foothill16021230ASSAULT WITH DEADLY WEAPON, AGGRAVATED ASSAULT0416 0411 1822...ICInvest Cont230.0NaNNaNNaN12800 FILMORE STNaN34.2790-118.4116
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708084 rows × 27 columns

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" + ], + "text/plain": [ + " DR_NO Date Rptd TIME OCC AREA AREA NAME Rpt Dist No \\\n", + "DATE OCC \n", + "1/8/2020 10304468 1/8/2020 2230 3 Southwest 377 \n", + "1/1/2020 190101086 1/2/2020 330 1 Central 163 \n", + "2/13/2020 200110444 4/14/2020 1200 1 Central 155 \n", + "1/1/2020 191501505 1/1/2020 1730 15 N Hollywood 1543 \n", + "1/1/2020 191921269 1/1/2020 415 19 Mission 1998 \n", + "... ... ... ... ... ... ... \n", + "1/8/2023 230804266 1/8/2023 1030 8 West LA 839 \n", + "1/26/2023 231604807 1/27/2023 1800 16 Foothill 1663 \n", + "3/22/2023 231606525 3/22/2023 1000 16 Foothill 1602 \n", + "4/12/2023 231210064 4/12/2023 1630 12 77th Street 1239 \n", + "3/5/2023 230906458 3/5/2023 900 9 Van Nuys 914 \n", + "\n", + " Part 1-2 Crm Cd \\\n", + "DATE OCC \n", + "1/8/2020 2 624 \n", + "1/1/2020 2 624 \n", + "2/13/2020 2 845 \n", + "1/1/2020 2 745 \n", + "1/1/2020 2 740 \n", + "... ... ... \n", + "1/8/2023 1 341 \n", + "1/26/2023 2 740 \n", + "3/22/2023 1 230 \n", + "4/12/2023 1 230 \n", + "3/5/2023 2 745 \n", + "\n", + " Crm Cd Desc \\\n", + "DATE OCC \n", + "1/8/2020 BATTERY - SIMPLE ASSAULT \n", + "1/1/2020 BATTERY - SIMPLE ASSAULT \n", + "2/13/2020 SEX OFFENDER REGISTRANT OUT OF COMPLIANCE \n", + "1/1/2020 VANDALISM - MISDEAMEANOR ($399 OR UNDER) \n", + "1/1/2020 VANDALISM - FELONY ($400 & OVER, ALL CHURCH VA... \n", + "... ... \n", + "1/8/2023 THEFT-GRAND ($950.01 & OVER)EXCPT,GUNS,FOWL,LI... \n", + "1/26/2023 VANDALISM - FELONY ($400 & OVER, ALL CHURCH VA... \n", + "3/22/2023 ASSAULT WITH DEADLY WEAPON, AGGRAVATED ASSAULT \n", + "4/12/2023 ASSAULT WITH DEADLY WEAPON, AGGRAVATED ASSAULT \n", + "3/5/2023 VANDALISM - MISDEAMEANOR ($399 OR UNDER) \n", + "\n", + " Mocodes ... Status Status Desc Crm Cd 1 Crm Cd 2 \\\n", + "DATE OCC ... \n", + "1/8/2020 0444 0913 ... AO Adult Other 624.0 NaN \n", + "1/1/2020 0416 1822 1414 ... IC Invest Cont 624.0 NaN \n", + "2/13/2020 1501 ... AA Adult Arrest 845.0 NaN \n", + "1/1/2020 0329 1402 ... IC Invest Cont 745.0 998.0 \n", + "1/1/2020 329 ... IC Invest Cont 740.0 NaN \n", + "... ... ... ... ... ... ... \n", + "1/8/2023 0344 1822 ... IC Invest Cont 341.0 NaN \n", + "1/26/2023 1300 0329 ... IC Invest Cont 740.0 NaN \n", + "3/22/2023 0416 0411 1822 ... IC Invest Cont 230.0 NaN \n", + "4/12/2023 0601 0445 0416 0359 ... IC Invest Cont 230.0 NaN \n", + "3/5/2023 0329 1822 ... IC Invest Cont 745.0 NaN \n", + "\n", + " Crm Cd 3 Crm Cd 4 LOCATION \\\n", + "DATE OCC \n", + "1/8/2020 NaN NaN 1100 W 39TH PL \n", + "1/1/2020 NaN NaN 700 S HILL ST \n", + "2/13/2020 NaN NaN 200 E 6TH ST \n", + "1/1/2020 NaN NaN 5400 CORTEEN PL \n", + "1/1/2020 NaN NaN 14400 TITUS ST \n", + "... ... ... ... \n", + "1/8/2023 NaN NaN 10200 SANTA MONICA BL \n", + "1/26/2023 NaN NaN 12500 BRANFORD ST \n", + "3/22/2023 NaN NaN 12800 FILMORE ST \n", + "4/12/2023 NaN NaN 6100 S VERMONT AV \n", + "3/5/2023 NaN NaN 14500 HARTLAND ST \n", + "\n", + " Cross Street LAT LON \n", + "DATE OCC \n", + "1/8/2020 NaN 34.0141 -118.2978 \n", + "1/1/2020 NaN 34.0459 -118.2545 \n", + "2/13/2020 NaN 34.0448 -118.2474 \n", + "1/1/2020 NaN 34.1685 -118.4019 \n", + "1/1/2020 NaN 34.2198 -118.4468 \n", + "... ... ... ... \n", + "1/8/2023 NaN 34.0611 -118.4184 \n", + "1/26/2023 NaN 34.2466 -118.4054 \n", + "3/22/2023 NaN 34.2790 -118.4116 \n", + "4/12/2023 NaN 33.9841 -118.2915 \n", + "3/5/2023 NaN 34.1951 -118.4487 \n", + "\n", + "[708084 rows x 27 columns]" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Display n rows\n", + "pd.set_option('display.max_rows', 1000)\n", + "df_crimes" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Index: 708084 entries, 1/8/2020 to 3/5/2023\n", + "Data columns (total 27 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 DR_NO 708084 non-null int64 \n", + " 1 Date Rptd 708084 non-null object \n", + " 2 TIME OCC 708084 non-null int64 \n", + " 3 AREA 708084 non-null int64 \n", + " 4 AREA NAME 708084 non-null object \n", + " 5 Rpt Dist No 708084 non-null int64 \n", + " 6 Part 1-2 708084 non-null int64 \n", + " 7 Crm Cd 708084 non-null int64 \n", + " 8 Crm Cd Desc 708084 non-null object \n", + " 9 Mocodes 610782 non-null object \n", + " 10 Vict Age 708084 non-null int64 \n", + " 11 Vict Sex 615442 non-null object \n", + " 12 Vict Descent 615436 non-null object \n", + " 13 Premis Cd 708076 non-null float64\n", + " 14 Premis Desc 707699 non-null object \n", + " 15 Weapon Used Cd 245937 non-null float64\n", + " 16 Weapon Desc 245937 non-null object \n", + " 17 Status 708084 non-null object \n", + " 18 Status Desc 708084 non-null object \n", + " 19 Crm Cd 1 708075 non-null float64\n", + " 20 Crm Cd 2 52707 non-null float64\n", + " 21 Crm Cd 3 1774 non-null float64\n", + " 22 Crm Cd 4 54 non-null float64\n", + " 23 LOCATION 708084 non-null object \n", + " 24 Cross Street 114624 non-null object \n", + " 25 LAT 708084 non-null float64\n", + " 26 LON 708084 non-null float64\n", + "dtypes: float64(8), int64(7), object(12)\n", + "memory usage: 151.3+ MB\n" + ] + } + ], + "source": [ + "df_crimes.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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DR_NOTIME OCCAREARpt Dist NoPart 1-2Crm CdVict AgePremis CdWeapon Used CdCrm Cd 1Crm Cd 2Crm Cd 3Crm Cd 4LATLON
count7.080840e+05708084.000000708084.000000708084.000000708084.000000708084.000000708084.000000708076.000000245937.000000708075.00000052707.0000001774.00000054.000000708084.000000708084.000000
mean2.137536e+081334.07982110.7127021117.6627661.416064500.75358429.948323305.425029362.280401500.493076956.916728983.462232989.92592633.964565-117.975215
std9.727613e+06654.1275066.089897608.9931820.492905207.95415221.700830216.706277123.773236207.745098112.53130252.12340029.3275911.9276686.685399
min8.170000e+021.0000001.000000101.0000001.000000110.000000-2.000000101.000000101.000000110.000000210.000000434.000000821.0000000.000000-118.667600
25%2.020086e+08900.0000006.000000622.0000001.000000331.00000012.000000101.000000308.000000331.000000998.000000998.000000998.00000034.013200-118.429400
50%2.117007e+081415.00000011.0000001142.0000001.000000442.00000031.000000203.000000400.000000442.000000998.000000998.000000998.00000034.058400-118.321400
75%2.212140e+081900.00000016.0000001617.0000002.000000626.00000045.000000501.000000400.000000626.000000998.000000998.000000998.00000034.163100-118.273900
max2.399097e+082359.00000021.0000002199.0000002.000000956.000000120.000000973.000000516.000000956.000000999.000000999.000000999.00000034.3343000.000000
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" + ], + "text/plain": [ + " DR_NO TIME OCC AREA Rpt Dist No \\\n", + "count 7.080840e+05 708084.000000 708084.000000 708084.000000 \n", + "mean 2.137536e+08 1334.079821 10.712702 1117.662766 \n", + "std 9.727613e+06 654.127506 6.089897 608.993182 \n", + "min 8.170000e+02 1.000000 1.000000 101.000000 \n", + "25% 2.020086e+08 900.000000 6.000000 622.000000 \n", + "50% 2.117007e+08 1415.000000 11.000000 1142.000000 \n", + "75% 2.212140e+08 1900.000000 16.000000 1617.000000 \n", + "max 2.399097e+08 2359.000000 21.000000 2199.000000 \n", + "\n", + " Part 1-2 Crm Cd Vict Age Premis Cd \\\n", + "count 708084.000000 708084.000000 708084.000000 708076.000000 \n", + "mean 1.416064 500.753584 29.948323 305.425029 \n", + "std 0.492905 207.954152 21.700830 216.706277 \n", + "min 1.000000 110.000000 -2.000000 101.000000 \n", + "25% 1.000000 331.000000 12.000000 101.000000 \n", + "50% 1.000000 442.000000 31.000000 203.000000 \n", + "75% 2.000000 626.000000 45.000000 501.000000 \n", + "max 2.000000 956.000000 120.000000 973.000000 \n", + "\n", + " Weapon Used Cd Crm Cd 1 Crm Cd 2 Crm Cd 3 Crm Cd 4 \\\n", + "count 245937.000000 708075.000000 52707.000000 1774.000000 54.000000 \n", + "mean 362.280401 500.493076 956.916728 983.462232 989.925926 \n", + "std 123.773236 207.745098 112.531302 52.123400 29.327591 \n", + "min 101.000000 110.000000 210.000000 434.000000 821.000000 \n", + "25% 308.000000 331.000000 998.000000 998.000000 998.000000 \n", + "50% 400.000000 442.000000 998.000000 998.000000 998.000000 \n", + "75% 400.000000 626.000000 998.000000 998.000000 998.000000 \n", + "max 516.000000 956.000000 999.000000 999.000000 999.000000 \n", + "\n", + " LAT LON \n", + "count 708084.000000 708084.000000 \n", + "mean 33.964565 -117.975215 \n", + "std 1.927668 6.685399 \n", + "min 0.000000 -118.667600 \n", + "25% 34.013200 -118.429400 \n", + "50% 34.058400 -118.321400 \n", + "75% 34.163100 -118.273900 \n", + "max 34.334300 0.000000 " + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Describe the statistics of the attributes\n", + "df_crimes.describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "708084" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#obtaining the length of the dataframe (no of rows)\n", + "len(df_crimes)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "708083" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#obtaining the highest index of the dataframe\n", + "max(df_crimes.index)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#obtaining the lowest index of the dataframe\n", + "min(df_crimes.index)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "pandas.core.frame.DataFrame" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#obtaining the data type \n", + "type(df_crimes)" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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DR_NODate RptdDATE OCCTIME OCCAREAAREA NAMERpt Dist NoPart 1-2Crm CdCrm Cd Desc...StatusStatus DescCrm Cd 1Crm Cd 2Crm Cd 3Crm Cd 4LOCATIONCross StreetLATLON
0103044681/8/20201/8/202022303Southwest3772624BATTERY - SIMPLE ASSAULT...AOAdult Other624.0NaNNaNNaN1100 W 39TH PLNaN34.01-118.30
11901010861/2/20201/1/20203301Central1632624BATTERY - SIMPLE ASSAULT...ICInvest Cont624.0NaNNaNNaN700 S HILL STNaN34.05-118.25
22001104444/14/20202/13/202012001Central1552845SEX OFFENDER REGISTRANT OUT OF COMPLIANCE...AAAdult Arrest845.0NaNNaNNaN200 E 6TH STNaN34.04-118.25
31915015051/1/20201/1/2020173015N Hollywood15432745VANDALISM - MISDEAMEANOR ($399 OR UNDER)...ICInvest Cont745.0998.0NaNNaN5400 CORTEEN PLNaN34.17-118.40
41919212691/1/20201/1/202041519Mission19982740VANDALISM - FELONY ($400 & OVER, ALL CHURCH VA......ICInvest Cont740.0NaNNaNNaN14400 TITUS STNaN34.22-118.45
..................................................................
7080792308042661/8/20231/8/202310308West LA8391341THEFT-GRAND ($950.01 & OVER)EXCPT,GUNS,FOWL,LI......ICInvest Cont341.0NaNNaNNaN10200 SANTA MONICA BLNaN34.06-118.42
7080802316048071/27/20231/26/2023180016Foothill16632740VANDALISM - FELONY ($400 & OVER, ALL CHURCH VA......ICInvest Cont740.0NaNNaNNaN12500 BRANFORD STNaN34.25-118.41
7080812316065253/22/20233/22/2023100016Foothill16021230ASSAULT WITH DEADLY WEAPON, AGGRAVATED ASSAULT...ICInvest Cont230.0NaNNaNNaN12800 FILMORE STNaN34.28-118.41
7080822312100644/12/20234/12/202316301277th Street12391230ASSAULT WITH DEADLY WEAPON, AGGRAVATED ASSAULT...ICInvest Cont230.0NaNNaNNaN6100 S VERMONT AVNaN33.98-118.29
7080832309064583/5/20233/5/20239009Van Nuys9142745VANDALISM - MISDEAMEANOR ($399 OR UNDER)...ICInvest Cont745.0NaNNaNNaN14500 HARTLAND STNaN34.20-118.45
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708084 rows × 28 columns

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" + ], + "text/plain": [ + " DR_NO Date Rptd DATE OCC TIME OCC AREA AREA NAME \\\n", + "0 10304468 1/8/2020 1/8/2020 2230 3 Southwest \n", + "1 190101086 1/2/2020 1/1/2020 330 1 Central \n", + "2 200110444 4/14/2020 2/13/2020 1200 1 Central \n", + "3 191501505 1/1/2020 1/1/2020 1730 15 N Hollywood \n", + "4 191921269 1/1/2020 1/1/2020 415 19 Mission \n", + "... ... ... ... ... ... ... \n", + "708079 230804266 1/8/2023 1/8/2023 1030 8 West LA \n", + "708080 231604807 1/27/2023 1/26/2023 1800 16 Foothill \n", + "708081 231606525 3/22/2023 3/22/2023 1000 16 Foothill \n", + "708082 231210064 4/12/2023 4/12/2023 1630 12 77th Street \n", + "708083 230906458 3/5/2023 3/5/2023 900 9 Van Nuys \n", + "\n", + " Rpt Dist No Part 1-2 Crm Cd \\\n", + "0 377 2 624 \n", + "1 163 2 624 \n", + "2 155 2 845 \n", + "3 1543 2 745 \n", + "4 1998 2 740 \n", + "... ... ... ... \n", + "708079 839 1 341 \n", + "708080 1663 2 740 \n", + "708081 1602 1 230 \n", + "708082 1239 1 230 \n", + "708083 914 2 745 \n", + "\n", + " Crm Cd Desc ... Status \\\n", + "0 BATTERY - SIMPLE ASSAULT ... AO \n", + "1 BATTERY - SIMPLE ASSAULT ... IC \n", + "2 SEX OFFENDER REGISTRANT OUT OF COMPLIANCE ... AA \n", + "3 VANDALISM - MISDEAMEANOR ($399 OR UNDER) ... IC \n", + "4 VANDALISM - FELONY ($400 & OVER, ALL CHURCH VA... ... IC \n", + "... ... ... ... \n", + "708079 THEFT-GRAND ($950.01 & OVER)EXCPT,GUNS,FOWL,LI... ... IC \n", + "708080 VANDALISM - FELONY ($400 & OVER, ALL CHURCH VA... ... IC \n", + "708081 ASSAULT WITH DEADLY WEAPON, AGGRAVATED ASSAULT ... IC \n", + "708082 ASSAULT WITH DEADLY WEAPON, AGGRAVATED ASSAULT ... IC \n", + "708083 VANDALISM - MISDEAMEANOR ($399 OR UNDER) ... IC \n", + "\n", + " Status Desc Crm Cd 1 Crm Cd 2 Crm Cd 3 Crm Cd 4 \\\n", + "0 Adult Other 624.0 NaN NaN NaN \n", + "1 Invest Cont 624.0 NaN NaN NaN \n", + "2 Adult Arrest 845.0 NaN NaN NaN \n", + "3 Invest Cont 745.0 998.0 NaN NaN \n", + "4 Invest Cont 740.0 NaN NaN NaN \n", + "... ... ... ... ... ... \n", + "708079 Invest Cont 341.0 NaN NaN NaN \n", + "708080 Invest Cont 740.0 NaN NaN NaN \n", + "708081 Invest Cont 230.0 NaN NaN NaN \n", + "708082 Invest Cont 230.0 NaN NaN NaN \n", + "708083 Invest Cont 745.0 NaN NaN NaN \n", + "\n", + " LOCATION Cross Street LAT LON \n", + "0 1100 W 39TH PL NaN 34.01 -118.30 \n", + "1 700 S HILL ST NaN 34.05 -118.25 \n", + "2 200 E 6TH ST NaN 34.04 -118.25 \n", + "3 5400 CORTEEN PL NaN 34.17 -118.40 \n", + "4 14400 TITUS ST NaN 34.22 -118.45 \n", + "... ... ... ... ... \n", + "708079 10200 SANTA MONICA BL NaN 34.06 -118.42 \n", + "708080 12500 BRANFORD ST NaN 34.25 -118.41 \n", + "708081 12800 FILMORE ST NaN 34.28 -118.41 \n", + "708082 6100 S VERMONT AV NaN 33.98 -118.29 \n", + "708083 14500 HARTLAND ST NaN 34.20 -118.45 \n", + "\n", + "[708084 rows x 28 columns]" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "round(df_crimes, 2)" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 F\n", + "1 M\n", + "2 X\n", + "3 F\n", + "4 X\n", + " ..\n", + "708079 M\n", + "708080 M\n", + "708081 F\n", + "708082 M\n", + "708083 F\n", + "Name: Vict Sex, Length: 708084, dtype: object" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# select a column with [] (preferred way to select a column)\n", + "df_crimes['Vict Sex']" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "pandas.core.series.Series" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# check out the data type of a column\n", + "type(df_crimes['Vict Sex'])" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# series: attributes and methods\n", + "df_crimes['Vict Sex'].index\n", + "df_crimes['Vict Sex'].head" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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DATE OCCCrm Cd Desc
01/8/2020BATTERY - SIMPLE ASSAULT
11/1/2020BATTERY - SIMPLE ASSAULT
22/13/2020SEX OFFENDER REGISTRANT OUT OF COMPLIANCE
31/1/2020VANDALISM - MISDEAMEANOR ($399 OR UNDER)
41/1/2020VANDALISM - FELONY ($400 & OVER, ALL CHURCH VA...
.........
7080791/8/2023THEFT-GRAND ($950.01 & OVER)EXCPT,GUNS,FOWL,LI...
7080801/26/2023VANDALISM - FELONY ($400 & OVER, ALL CHURCH VA...
7080813/22/2023ASSAULT WITH DEADLY WEAPON, AGGRAVATED ASSAULT
7080824/12/2023ASSAULT WITH DEADLY WEAPON, AGGRAVATED ASSAULT
7080833/5/2023VANDALISM - MISDEAMEANOR ($399 OR UNDER)
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708084 rows × 2 columns

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" + ], + "text/plain": [ + " DATE OCC Crm Cd Desc\n", + "0 1/8/2020 BATTERY - SIMPLE ASSAULT\n", + "1 1/1/2020 BATTERY - SIMPLE ASSAULT\n", + "2 2/13/2020 SEX OFFENDER REGISTRANT OUT OF COMPLIANCE\n", + "3 1/1/2020 VANDALISM - MISDEAMEANOR ($399 OR UNDER)\n", + "4 1/1/2020 VANDALISM - FELONY ($400 & OVER, ALL CHURCH VA...\n", + "... ... ...\n", + "708079 1/8/2023 THEFT-GRAND ($950.01 & OVER)EXCPT,GUNS,FOWL,LI...\n", + "708080 1/26/2023 VANDALISM - FELONY ($400 & OVER, ALL CHURCH VA...\n", + "708081 3/22/2023 ASSAULT WITH DEADLY WEAPON, AGGRAVATED ASSAULT\n", + "708082 4/12/2023 ASSAULT WITH DEADLY WEAPON, AGGRAVATED ASSAULT\n", + "708083 3/5/2023 VANDALISM - MISDEAMEANOR ($399 OR UNDER)\n", + "\n", + "[708084 rows x 2 columns]" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# SELECT 2 COLUMN UsING [[]]\n", + "df_crimes[['DATE OCC','Crm Cd Desc']]" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "pandas.core.frame.DataFrame" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# check out the data type of the selection\n", + "type(df_crimes[['Vict Sex','Crm Cd Desc']])" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Vict SexCrm Cd DescPremis DescWeapon DescStatus Desc
0FBATTERY - SIMPLE ASSAULTSINGLE FAMILY DWELLINGSTRONG-ARM (HANDS, FIST, FEET OR BODILY FORCE)Adult Other
1MBATTERY - SIMPLE ASSAULTSIDEWALKUNKNOWN WEAPON/OTHER WEAPONInvest Cont
2XSEX OFFENDER REGISTRANT OUT OF COMPLIANCEPOLICE FACILITYNaNAdult Arrest
3FVANDALISM - MISDEAMEANOR ($399 OR UNDER)MULTI-UNIT DWELLING (APARTMENT, DUPLEX, ETC)NaNInvest Cont
4XVANDALISM - FELONY ($400 & OVER, ALL CHURCH VA...BEAUTY SUPPLY STORENaNInvest Cont
..................
708079MTHEFT-GRAND ($950.01 & OVER)EXCPT,GUNS,FOWL,LI...HEALTH SPA/GYMNaNInvest Cont
708080MVANDALISM - FELONY ($400 & OVER, ALL CHURCH VA...VEHICLE, PASSENGER/TRUCKNaNInvest Cont
708081FASSAULT WITH DEADLY WEAPON, AGGRAVATED ASSAULTSIDEWALKSTRONG-ARM (HANDS, FIST, FEET OR BODILY FORCE)Invest Cont
708082MASSAULT WITH DEADLY WEAPON, AGGRAVATED ASSAULTLAUNDROMATUNKNOWN WEAPON/OTHER WEAPONInvest Cont
708083FVANDALISM - MISDEAMEANOR ($399 OR UNDER)MULTI-UNIT DWELLING (APARTMENT, DUPLEX, ETC)NaNInvest Cont
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708084 rows × 5 columns

\n", + "
" + ], + "text/plain": [ + " Vict Sex Crm Cd Desc \\\n", + "0 F BATTERY - SIMPLE ASSAULT \n", + "1 M BATTERY - SIMPLE ASSAULT \n", + "2 X SEX OFFENDER REGISTRANT OUT OF COMPLIANCE \n", + "3 F VANDALISM - MISDEAMEANOR ($399 OR UNDER) \n", + "4 X VANDALISM - FELONY ($400 & OVER, ALL CHURCH VA... \n", + "... ... ... \n", + "708079 M THEFT-GRAND ($950.01 & OVER)EXCPT,GUNS,FOWL,LI... \n", + "708080 M VANDALISM - FELONY ($400 & OVER, ALL CHURCH VA... \n", + "708081 F ASSAULT WITH DEADLY WEAPON, AGGRAVATED ASSAULT \n", + "708082 M ASSAULT WITH DEADLY WEAPON, AGGRAVATED ASSAULT \n", + "708083 F VANDALISM - MISDEAMEANOR ($399 OR UNDER) \n", + "\n", + " Premis Desc \\\n", + "0 SINGLE FAMILY DWELLING \n", + "1 SIDEWALK \n", + "2 POLICE FACILITY \n", + "3 MULTI-UNIT DWELLING (APARTMENT, DUPLEX, ETC) \n", + "4 BEAUTY SUPPLY STORE \n", + "... ... \n", + "708079 HEALTH SPA/GYM \n", + "708080 VEHICLE, PASSENGER/TRUCK \n", + "708081 SIDEWALK \n", + "708082 LAUNDROMAT \n", + "708083 MULTI-UNIT DWELLING (APARTMENT, DUPLEX, ETC) \n", + "\n", + " Weapon Desc Status Desc \n", + "0 STRONG-ARM (HANDS, FIST, FEET OR BODILY FORCE) Adult Other \n", + "1 UNKNOWN WEAPON/OTHER WEAPON Invest Cont \n", + "2 NaN Adult Arrest \n", + "3 NaN Invest Cont \n", + "4 NaN Invest Cont \n", + "... ... ... \n", + "708079 NaN Invest Cont \n", + "708080 NaN Invest Cont \n", + "708081 STRONG-ARM (HANDS, FIST, FEET OR BODILY FORCE) Invest Cont \n", + "708082 UNKNOWN WEAPON/OTHER WEAPON Invest Cont \n", + "708083 NaN Invest Cont \n", + "\n", + "[708084 rows x 5 columns]" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Select 2 or more columns usimg [[]]\n", + "df_crimes[['Vict Sex','Crm Cd Desc', 'Premis Desc','Weapon Desc','Status Desc']]" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "708084" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#creating an array of 708084 elements\n", + "len(np.arange(0,708084))" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "21205928" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# select a column and calculate total sum\n", + "df_crimes['Vict Age'].sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "120" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# count, mean, std, min, max\n", + "df_crimes['Vict Age'].count()\n", + "df_crimes['Vict Age'].mean()\n", + "df_crimes['Vict Age'].std()\n", + "df_crimes['Vict Age'].min()\n", + "df_crimes['Vict Age'].max()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "708084" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# counting Vict Sex elements\n", + "# len function\n", + "len(df_crimes['Vict Sex'])" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "615442" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# .count() method\n", + "df_crimes['Vict Sex'].count()" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "M 293879\n", + "F 261903\n", + "X 59578\n", + "H 82\n", + "Name: Vict Sex, dtype: int64" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# counting Vict Sex elements by category\n", + "df_crimes['Vict Sex'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "M 0.477509\n", + "F 0.425553\n", + "X 0.096805\n", + "H 0.000133\n", + "Name: Vict Sex, dtype: float64" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# return the relative frequency (divide all values by the sum of the values)%\n", + "df_crimes ['Vict Sex'].value_counts(normalize=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "VEHICLE - STOLEN 76059\n", + "BATTERY - SIMPLE ASSAULT 55851\n", + "THEFT OF IDENTITY 46061\n", + "BURGLARY FROM VEHICLE 44148\n", + "VANDALISM - FELONY ($400 & OVER, ALL CHURCH VANDALISMS) 43562\n", + "BURGLARY 43185\n", + "ASSAULT WITH DEADLY WEAPON, AGGRAVATED ASSAULT 40642\n", + "THEFT PLAIN - PETTY ($950 & UNDER) 36225\n", + "INTIMATE PARTNER - SIMPLE ASSAULT 35817\n", + "THEFT FROM MOTOR VEHICLE - PETTY ($950 & UNDER) 27868\n", + "THEFT FROM MOTOR VEHICLE - GRAND ($950.01 AND OVER) 25938\n", + "ROBBERY 24338\n", + "THEFT-GRAND ($950.01 & OVER)EXCPT,GUNS,FOWL,LIVESTK,PROD 22415\n", + "VANDALISM - MISDEAMEANOR ($399 OR UNDER) 19764\n", + "CRIMINAL THREATS - NO WEAPON DISPLAYED 14705\n", + "SHOPLIFTING - PETTY THEFT ($950 & UNDER) 14357\n", + "BRANDISH WEAPON 10983\n", + "INTIMATE PARTNER - AGGRAVATED ASSAULT 9680\n", + "TRESPASSING 9659\n", + "VIOLATION OF RESTRAINING ORDER 9024\n", + "BIKE - STOLEN 6371\n", + "LETTERS, LEWD - TELEPHONE CALLS, LEWD 5861\n", + "OTHER MISCELLANEOUS CRIME 5151\n", + "VIOLATION OF COURT ORDER 4906\n", + "BUNCO, GRAND THEFT 4414\n", + "ATTEMPTED ROBBERY 3740\n", + "OTHER ASSAULT 3326\n", + "THEFT, PERSON 3177\n", + "BATTERY WITH SEXUAL CONTACT 3122\n", + "SHOPLIFTING-GRAND THEFT ($950.01 & OVER) 2999\n", + "BURGLARY, ATTEMPTED 2929\n", + "RAPE, FORCIBLE 2779\n", + "EMBEZZLEMENT, GRAND THEFT ($950.01 & OVER) 2770\n", + "CHILD ABUSE (PHYSICAL) - SIMPLE ASSAULT 2632\n", + "DOCUMENT FORGERY / STOLEN FELONY 2409\n", + "CONTEMPT OF COURT 2115\n", + "DISCHARGE FIREARMS/SHOTS FIRED 2069\n", + "VEHICLE - ATTEMPT STOLEN 2045\n", + "BATTERY POLICE (SIMPLE) 1990\n", + "ARSON 1959\n", + "BUNCO, PETTY THEFT 1577\n", + "PICKPOCKET 1568\n", + "EXTORTION 1444\n", + "SHOTS FIRED AT INHABITED DWELLING 1351\n", + "CRM AGNST CHLD (13 OR UNDER) (14-15 & SUSP 10 YRS OLDER) 1327\n", + "VEHICLE, STOLEN - OTHER (MOTORIZED SCOOTERS, BIKES, ETC) 1259\n", + "CRIMINAL HOMICIDE 1224\n", + "DISTURBING THE PEACE 1139\n", + "FAILURE TO YIELD 1073\n", + "SEXUAL PENETRATION W/FOREIGN OBJECT 1016\n", + "ASSAULT WITH DEADLY WEAPON ON POLICE OFFICER 897\n", + "INDECENT EXPOSURE 894\n", + "CHILD NEGLECT (SEE 300 W.I.C.) 889\n", + "CHILD ANNOYING (17YRS & UNDER) 774\n", + "THEFT FROM MOTOR VEHICLE - ATTEMPT 773\n", + "SEX,UNLAWFUL(INC MUTUAL CONSENT, PENETRATION W/ FRGN OBJ 764\n", + "SEX OFFENDER REGISTRANT OUT OF COMPLIANCE 721\n", + "RESISTING ARREST 719\n", + "VIOLATION OF TEMPORARY RESTRAINING ORDER 679\n", + "KIDNAPPING 614\n", + "THROWING OBJECT AT MOVING VEHICLE 608\n", + "ORAL COPULATION 541\n", + "BURGLARY FROM VEHICLE, ATTEMPTED 521\n", + "LEWD CONDUCT 507\n", + "STALKING 480\n", + "CHILD ABUSE (PHYSICAL) - AGGRAVATED ASSAULT 478\n", + "UNAUTHORIZED COMPUTER ACCESS 420\n", + "SODOMY/SEXUAL CONTACT B/W PENIS OF ONE PERS TO ANUS OTH 401\n", + "THREATENING PHONE CALLS/LETTERS 387\n", + "SHOTS FIRED AT MOVING VEHICLE, TRAIN OR AIRCRAFT 378\n", + "THEFT PLAIN - ATTEMPT 368\n", + "HUMAN TRAFFICKING - COMMERCIAL SEX ACTS 339\n", + "CHILD STEALING 334\n", + "BOMB SCARE 333\n", + "PEEPING TOM 285\n", + "FALSE IMPRISONMENT 254\n", + "DEFRAUDING INNKEEPER/THEFT OF SERVICES, $950 & UNDER 251\n", + "BUNCO, ATTEMPT 250\n", + "RAPE, ATTEMPTED 247\n", + "RECKLESS DRIVING 196\n", + "CHILD PORNOGRAPHY 192\n", + "CRUELTY TO ANIMALS 191\n", + "BATTERY ON A FIREFIGHTER 186\n", + "KIDNAPPING - GRAND ATTEMPT 182\n", + "PROWLER 147\n", + "DRIVING WITHOUT OWNER CONSENT (DWOC) 130\n", + "FALSE POLICE REPORT 121\n", + "PIMPING 109\n", + "COUNTERFEIT 99\n", + "EMBEZZLEMENT, PETTY THEFT ($950 & UNDER) 97\n", + "CREDIT CARDS, FRAUD USE ($950.01 & OVER) 93\n", + "BOAT - STOLEN 93\n", + "PANDERING 92\n", + "THEFT FROM PERSON - ATTEMPT 88\n", + "ILLEGAL DUMPING 84\n", + "PURSE SNATCHING 83\n", + "HUMAN TRAFFICKING - INVOLUNTARY SERVITUDE 81\n", + "SHOPLIFTING - ATTEMPT 76\n", + "CREDIT CARDS, FRAUD USE ($950 & UNDER 75\n", + "LEWD/LASCIVIOUS ACTS WITH CHILD 66\n", + "DEFRAUDING INNKEEPER/THEFT OF SERVICES, OVER $950.01 56\n", + "DOCUMENT WORTHLESS ($200.01 & OVER) 47\n", + "DISHONEST EMPLOYEE - GRAND THEFT 31\n", + "WEAPONS POSSESSION/BOMBING 28\n", + "CONTRIBUTING 27\n", + "DOCUMENT WORTHLESS ($200 & UNDER) 24\n", + "DRUNK ROLL 21\n", + "CHILD ABANDONMENT 19\n", + "THEFT, COIN MACHINE - PETTY ($950 & UNDER) 18\n", + "TILL TAP - PETTY ($950 & UNDER) 17\n", + "LYNCHING 15\n", + "CONSPIRACY 14\n", + "DISHONEST EMPLOYEE - PETTY THEFT 13\n", + "LYNCHING - ATTEMPTED 11\n", + "PURSE SNATCHING - ATTEMPT 10\n", + "REPLICA FIREARMS(SALE,DISPLAY,MANUFACTURE OR DISTRIBUTE) 10\n", + "DRUGS, TO A MINOR 10\n", + "TILL TAP - GRAND THEFT ($950.01 & OVER) 9\n", + "DISRUPT SCHOOL 9\n", + "BEASTIALITY, CRIME AGAINST NATURE SEXUAL ASSLT WITH ANIM 7\n", + "BRIBERY 7\n", + "MANSLAUGHTER, NEGLIGENT 7\n", + "PETTY THEFT - AUTO REPAIR 7\n", + "BIKE - ATTEMPTED STOLEN 6\n", + "THEFT, COIN MACHINE - ATTEMPT 5\n", + "GRAND THEFT / INSURANCE FRAUD 5\n", + "BLOCKING DOOR INDUCTION CENTER 5\n", + "THEFT, COIN MACHINE - GRAND ($950.01 & OVER) 5\n", + "TELEPHONE PROPERTY - DAMAGE 5\n", + "BIGAMY 4\n", + "FIREARMS EMERGENCY PROTECTIVE ORDER (FIREARMS EPO) 4\n", + "FIREARMS RESTRAINING ORDER (FIREARMS RO) 4\n", + "INCEST (SEXUAL ACTS BETWEEN BLOOD RELATIVES) 4\n", + "PICKPOCKET, ATTEMPT 3\n", + "GRAND THEFT / AUTO REPAIR 2\n", + "FAILURE TO DISPERSE 2\n", + "DISHONEST EMPLOYEE ATTEMPTED THEFT 2\n", + "INCITING A RIOT 1\n", + "Name: Crm Cd Desc, dtype: int64" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# counting \"Crm Cd Desc\" elemnts by category\n", + "df_crimes ['Crm Cd Desc'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Central 47443\n", + "77th Street 44877\n", + "Pacific 40958\n", + "Southwest 39763\n", + "Hollywood 37947\n", + "Southeast 36377\n", + "Olympic 35453\n", + "N Hollywood 35392\n", + "Newton 35172\n", + "Wilshire 33468\n", + "Rampart 32770\n", + "West LA 32382\n", + "Northeast 30809\n", + "Van Nuys 29915\n", + "West Valley 29619\n", + "Harbor 29449\n", + "Devonshire 28632\n", + "Topanga 28605\n", + "Mission 28381\n", + "Hollenbeck 26725\n", + "Foothill 23947\n", + "Name: AREA NAME, dtype: int64" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# counting \"Crm Cd Desc\" elemnts by category\n", + "df_crimes ['AREA NAME'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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DR_NODate RptdDATE OCCTIME OCCAREAAREA NAMERpt Dist NoPart 1-2Crm CdCrm Cd Desc...StatusStatus DescCrm Cd 1Crm Cd 2Crm Cd 3Crm Cd 4LOCATIONCross StreetLATLON
61831722071741312/5/202212/5/202212107Wilshire7212756WEAPONS POSSESSION/BOMBING...ICInvest Cont756.0998.0NaNNaN8700 GRACIE ALLEN DRNaN34.0753-118.3795
1886520071517210/21/202010/21/202014007Wilshire7142902VIOLATION OF TEMPORARY RESTRAINING ORDER...AAAdult Arrest902.0NaNNaNNaN300 N FULLER AVNaN34.0762-118.3498
654262007088485/2/20205/2/202019257Wilshire7222902VIOLATION OF TEMPORARY RESTRAINING ORDER...AOAdult Other902.0NaNNaNNaN6600 DREXEL AVNaN34.0693-118.3706
8914020071541510/28/202010/28/202019557Wilshire7192902VIOLATION OF TEMPORARY RESTRAINING ORDER...AOAdult Other902.0NaNNaNNaN500 N LARCHMONT BLNaN34.0790-118.3236
9509320071560911/3/202011/3/202014007Wilshire7882902VIOLATION OF TEMPORARY RESTRAINING ORDER...ICInvest Cont902.0NaNNaNNaN4000 W 21ST STNaN34.0373-118.3279
..................................................................
6705952312104604/19/20234/19/202315451277th Street12671648ARSON...ICInvest Cont648.0NaNNaNNaN900 W 84TH STNaN33.9624-118.2895
6807982312079293/6/20233/6/20232401277th Street12491648ARSON...ICInvest Cont648.0NaNNaNNaN600 W 65TH STNaN33.9806-118.2838
6855332312106264/22/20234/22/202314001277th Street12591648ARSON...ICInvest Cont648.0NaNNaNNaN600 E 75TH STNaN33.9721-118.2652
6884722312073272/24/20232/24/20233431277th Street12831648ARSON...ICInvest Cont648.0NaNNaNNaN09300 S WESTERN AVNaN33.9517-118.3090
7019682312051221/20/20231/20/20232001277th Street12351648ARSON...ICInvest Cont648.0NaNNaNNaN1500 W 58TH PLNaN33.9883-118.3024
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708084 rows × 28 columns

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" + ], + "text/plain": [ + " DR_NO Date Rptd DATE OCC TIME OCC AREA AREA NAME \\\n", + "618317 220717413 12/5/2022 12/5/2022 1210 7 Wilshire \n", + "18865 200715172 10/21/2020 10/21/2020 1400 7 Wilshire \n", + "65426 200708848 5/2/2020 5/2/2020 1925 7 Wilshire \n", + "89140 200715415 10/28/2020 10/28/2020 1955 7 Wilshire \n", + "95093 200715609 11/3/2020 11/3/2020 1400 7 Wilshire \n", + "... ... ... ... ... ... ... \n", + "670595 231210460 4/19/2023 4/19/2023 1545 12 77th Street \n", + "680798 231207929 3/6/2023 3/6/2023 240 12 77th Street \n", + "685533 231210626 4/22/2023 4/22/2023 1400 12 77th Street \n", + "688472 231207327 2/24/2023 2/24/2023 343 12 77th Street \n", + "701968 231205122 1/20/2023 1/20/2023 200 12 77th Street \n", + "\n", + " Rpt Dist No Part 1-2 Crm Cd \\\n", + "618317 721 2 756 \n", + "18865 714 2 902 \n", + "65426 722 2 902 \n", + "89140 719 2 902 \n", + "95093 788 2 902 \n", + "... ... ... ... \n", + "670595 1267 1 648 \n", + "680798 1249 1 648 \n", + "685533 1259 1 648 \n", + "688472 1283 1 648 \n", + "701968 1235 1 648 \n", + "\n", + " Crm Cd Desc ... Status Status Desc \\\n", + "618317 WEAPONS POSSESSION/BOMBING ... IC Invest Cont \n", + "18865 VIOLATION OF TEMPORARY RESTRAINING ORDER ... AA Adult Arrest \n", + "65426 VIOLATION OF TEMPORARY RESTRAINING ORDER ... AO Adult Other \n", + "89140 VIOLATION OF TEMPORARY RESTRAINING ORDER ... AO Adult Other \n", + "95093 VIOLATION OF TEMPORARY RESTRAINING ORDER ... IC Invest Cont \n", + "... ... ... ... ... \n", + "670595 ARSON ... IC Invest Cont \n", + "680798 ARSON ... IC Invest Cont \n", + "685533 ARSON ... IC Invest Cont \n", + "688472 ARSON ... IC Invest Cont \n", + "701968 ARSON ... IC Invest Cont \n", + "\n", + " Crm Cd 1 Crm Cd 2 Crm Cd 3 Crm Cd 4 \\\n", + "618317 756.0 998.0 NaN NaN \n", + "18865 902.0 NaN NaN NaN \n", + "65426 902.0 NaN NaN NaN \n", + "89140 902.0 NaN NaN NaN \n", + "95093 902.0 NaN NaN NaN \n", + "... ... ... ... ... \n", + "670595 648.0 NaN NaN NaN \n", + "680798 648.0 NaN NaN NaN \n", + "685533 648.0 NaN NaN NaN \n", + "688472 648.0 NaN NaN NaN \n", + "701968 648.0 NaN NaN NaN \n", + "\n", + " LOCATION Cross Street LAT \\\n", + "618317 8700 GRACIE ALLEN DR NaN 34.0753 \n", + "18865 300 N FULLER AV NaN 34.0762 \n", + "65426 6600 DREXEL AV NaN 34.0693 \n", + "89140 500 N LARCHMONT BL NaN 34.0790 \n", + "95093 4000 W 21ST ST NaN 34.0373 \n", + "... ... ... ... \n", + "670595 900 W 84TH ST NaN 33.9624 \n", + "680798 600 W 65TH ST NaN 33.9806 \n", + "685533 600 E 75TH ST NaN 33.9721 \n", + "688472 09300 S WESTERN AV NaN 33.9517 \n", + "701968 1500 W 58TH PL NaN 33.9883 \n", + "\n", + " LON \n", + "618317 -118.3795 \n", + "18865 -118.3498 \n", + "65426 -118.3706 \n", + "89140 -118.3236 \n", + "95093 -118.3279 \n", + "... ... \n", + "670595 -118.2895 \n", + "680798 -118.2838 \n", + "685533 -118.2652 \n", + "688472 -118.3090 \n", + "701968 -118.3024 \n", + "\n", + "[708084 rows x 28 columns]" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# sort by one column descending\n", + "df_crimes.sort_values(['AREA NAME', 'Crm Cd Desc'], ascending=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [], + "source": [ + "df_crimes = df_crimes.iloc[:, 3: ]" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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TIME OCCAREAAREA NAMERpt Dist NoPart 1-2Crm CdCrm Cd DescMocodesVict AgeVict Sex...StatusStatus DescCrm Cd 1Crm Cd 2Crm Cd 3Crm Cd 4LOCATIONCross StreetLATLON
022303Southwest3772624BATTERY - SIMPLE ASSAULT0444 091336F...AOAdult Other624.0NaNNaNNaN1100 W 39TH PLNaN34.0141-118.2978
13301Central1632624BATTERY - SIMPLE ASSAULT0416 1822 141425M...ICInvest Cont624.0NaNNaNNaN700 S HILL STNaN34.0459-118.2545
212001Central1552845SEX OFFENDER REGISTRANT OUT OF COMPLIANCE15010X...AAAdult Arrest845.0NaNNaNNaN200 E 6TH STNaN34.0448-118.2474
3173015N Hollywood15432745VANDALISM - MISDEAMEANOR ($399 OR UNDER)0329 140276F...ICInvest Cont745.0998.0NaNNaN5400 CORTEEN PLNaN34.1685-118.4019
441519Mission19982740VANDALISM - FELONY ($400 & OVER, ALL CHURCH VA...32931X...ICInvest Cont740.0NaNNaNNaN14400 TITUS STNaN34.2198-118.4468
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5 rows × 25 columns

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" + ], + "text/plain": [ + " TIME OCC AREA AREA NAME Rpt Dist No Part 1-2 Crm Cd \\\n", + "0 2230 3 Southwest 377 2 624 \n", + "1 330 1 Central 163 2 624 \n", + "2 1200 1 Central 155 2 845 \n", + "3 1730 15 N Hollywood 1543 2 745 \n", + "4 415 19 Mission 1998 2 740 \n", + "\n", + " Crm Cd Desc Mocodes \\\n", + "0 BATTERY - SIMPLE ASSAULT 0444 0913 \n", + "1 BATTERY - SIMPLE ASSAULT 0416 1822 1414 \n", + "2 SEX OFFENDER REGISTRANT OUT OF COMPLIANCE 1501 \n", + "3 VANDALISM - MISDEAMEANOR ($399 OR UNDER) 0329 1402 \n", + "4 VANDALISM - FELONY ($400 & OVER, ALL CHURCH VA... 329 \n", + "\n", + " Vict Age Vict Sex ... Status Status Desc Crm Cd 1 Crm Cd 2 Crm Cd 3 \\\n", + "0 36 F ... AO Adult Other 624.0 NaN NaN \n", + "1 25 M ... IC Invest Cont 624.0 NaN NaN \n", + "2 0 X ... AA Adult Arrest 845.0 NaN NaN \n", + "3 76 F ... IC Invest Cont 745.0 998.0 NaN \n", + "4 31 X ... IC Invest Cont 740.0 NaN NaN \n", + "\n", + " Crm Cd 4 LOCATION Cross Street LAT \\\n", + "0 NaN 1100 W 39TH PL NaN 34.0141 \n", + "1 NaN 700 S HILL ST NaN 34.0459 \n", + "2 NaN 200 E 6TH ST NaN 34.0448 \n", + "3 NaN 5400 CORTEEN PL NaN 34.1685 \n", + "4 NaN 14400 TITUS ST NaN 34.2198 \n", + "\n", + " LON \n", + "0 -118.2978 \n", + "1 -118.2545 \n", + "2 -118.2474 \n", + "3 -118.4019 \n", + "4 -118.4468 \n", + "\n", + "[5 rows x 25 columns]" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_crimes.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [], + "source": [ + "df_crimes.index = pd.to_datetime(df_crimes.index)" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(708084, 25)\n", + "\n" + ] + } + ], + "source": [ + "print(df_crimes.shape)\n", + "print(df_crimes.head)" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [], + "source": [ + "crimes_count = pd.DataFrame(df_crimes.groupby('Crm Cd Desc').size().sort_values(ascending=False).rename('counts').reset_index())" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Crm Cd Desccounts
0VEHICLE - STOLEN76059
1BATTERY - SIMPLE ASSAULT55851
2THEFT OF IDENTITY46061
3BURGLARY FROM VEHICLE44148
4VANDALISM - FELONY ($400 & OVER, ALL CHURCH VA...43562
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" + ], + "text/plain": [ + " Crm Cd Desc counts\n", + "0 VEHICLE - STOLEN 76059\n", + "1 BATTERY - SIMPLE ASSAULT 55851\n", + "2 THEFT OF IDENTITY 46061\n", + "3 BURGLARY FROM VEHICLE 44148\n", + "4 VANDALISM - FELONY ($400 & OVER, ALL CHURCH VA... 43562" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "crimes_count.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(138, 2)" + ] + }, + "execution_count": 44, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "crimes_count.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.set(style=\"whitegrid\")\n", + "\n", + "# Initialize the matplotlib figure\n", + "f, ax = plt.subplots(figsize=(6, 15))\n", + "\n", + "\n", + "# Plot the total crimes\n", + "sns.set_color_codes(\"pastel\")\n", + "sns.barplot(x=\"counts\", y=\"Crm Cd Desc\", data=crimes_count.iloc[:10, :],\n", + " label=\"Total\", color=\"b\")\n", + "\n", + "ax.legend(ncol=2, loc=\"lower right\", frameon=True)\n", + "ax.set(ylabel=\"Type\",\n", + " xlabel=\"Crimes\")\n", + "sns.despine(left=True, bottom=True)\n", + "\n", + "# Add a legend and informative axis label\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [], + "source": [ + "df_crimes.index = pd.to_datetime(df_crimes.index)" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(708084, 27)\n", + "\n" + ] + } + ], + "source": [ + "print(df_crimes.shape)\n", + "print(df_crimes.head)" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "#Parts breakdown with\n", + "df_crimes_2020 = df_crimes.loc['2020']\n", + "df_crimes_2021 = df_crimes.loc['2021']\n", + "df_crimes_2022 = df_crimes.loc['2022']\n", + "df_crimes_2023 = df_crimes.loc['2023']\n", + "\n", + "#Yearly Crimes\n", + "arrest_yearly = df_crimes[df_crimes['Part 1-2']== 1]['Part 1-2']" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "DATE OCC\n", + "2020-01-01 1\n", + "2020-01-02 1\n", + "2020-01-04 1\n", + "2020-05-26 1\n", + "2020-01-04 1\n", + "Name: Part 1-2, dtype: int64\n" + ] + } + ], + "source": [ + "print(arrest_yearly.head())" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.subplot()\n", + "# yearly arrest\n", + "arrest_yearly.resample('A').sum().plot()\n", + "plt.title('Yearly Part 1-2')\n", + "plt.show()\n", + "# Monthly arrest\n", + "arrest_yearly.resample('M').sum().plot()\n", + "plt.title('Monthly Part 1-2')\n", + "plt.show()\n", + "# Weekly arrest\n", + "arrest_yearly.resample('W').sum().plot()\n", + "plt.title('Weekly Part 1-2')\n", + "plt.show()\n", + "# daily arrest\n", + "arrest_yearly.resample('D').sum().plot()\n", + "plt.title('Daily Part 1-2')\n", + "plt.show()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "#Parts breakdown with\n", + "df_crimes_2020 = df_crimes.loc['2020']\n", + "df_crimes_2021 = df_crimes.loc['2021']\n", + "df_crimes_2022 = df_crimes.loc['2022']\n", + "df_crimes_2023 = df_crimes.loc['2023']\n", + "\n", + "#Yearly Crimes\n", + "arrest_yearly = df_crimes[df_crimes['Part 1-2']== 2]['Part 1-2']" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "DATE OCC\n", + "2020-01-08 2\n", + "2020-01-01 2\n", + "2020-02-13 2\n", + "2020-01-01 2\n", + "2020-01-01 2\n", + "Name: Part 1-2, dtype: int64\n" + ] + } + ], + "source": [ + "print(arrest_yearly.head())" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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uQthQrcHMfw8XW2/IV9eacFE7cfNQHbHBfowd7t3hu0Hp6eHG/RMH8dF/DhN54izDB/Swd0niGmhWuFRVVTF16lTeeust+vTpw3fffcfy5cupr69n+PDhvPzyy7i4uJCfn8+CBQs4e/YsAwYMYMWKFXTu3JmKigqee+45Tp06haenJ6tWrcLLywuj0cjixYvJzs7G1dWVFStWMHDgQBRFYfny5WzevBknJydeeuklGVNdtFnllXXsOtDwhvy+oyWYzPV06eTC+AAfxvn7cvMQL1zbwQ15W4q5cxAbduSxel02f346sE2+nyOuzhXvGO7bt49p06aRm5trbVu8eDErV65k/fr11NXVkZKSAsDSpUuZPn066enpBAQEkJiYCMCqVavQ6/WkpaUxZcoUEhISAFizZg1ubm6kpaWxaNEi4uLiANiwYQPHjx8nNTWVv/3tb8TFxWE2m2297UK0Wn5JFV9sPsrzf/2Wh5du4I1P93KyqJLQ2/rzxydvZ82LwcyfOppbR/hKsFyGq1bNzLBhHDl5jq17Ttu7HHENXDFckpKSiI+PR6f76a1ai8VCVVUVFosFg8GAVqvFZDKxe/dugoODAYiJiSE9PR2AjIwMIiMjAYiIiGDr1q2YTCYyMjKIiooCYOzYsZSVlZGfn8+WLVsICwvDycmJAQMG4Ovry549e2y+8UI0V329wpGT5byfepAnl3/DE69s4t31BzGYLEy714/Xn72TdxZN4n8mj2DEwJ7ykmAzTBzTl4F9uvGvrw5SZ5Qvj+3NFb9SNZ5lXOzFF19kxowZuLu706dPH0JCQigvL8fd3R21umGRXl5eFBUVAVBcXIyXl1fDCtVq3N3dKSsra9LeOE9hYSHFxcVNwqyxvaWys7NbPI9oG7KysuxdAmaLQm6xgUOnazl8upbK2npUKuiv0xI6xoOhfVzx6KwGqigrOEZZgb0rbjuau//uGOrCe5vOk/jRtwQFSKeW7UmLz9dLSkpYsWIF69evp0+fPixbtoxly5YxZ86cSx6j/KXHKhVFwcnJCUVRmkzT2F5fX3/Z9pYKCAhAq+3YN08dUVZWlt3usdXUmcjKKWbHgQIyc4qoqTOjdXFmjJ834/x9GTvcmy6dXOxSm6Noyf4bAxwu3sX3h4p5JPpWPLs6Xu8D7YXBYLDpF/IWh0tmZiZDhgzhhhtuAOCBBx5g/vz5LFq0iMrKSiwWC87OzpSUlFjPPnQ6HaWlpfj4+GA2m6mursbDwwNvb2+Ki4utyyotLUWn0+Hj40NxcbF1nY3tQlwLZRV11iF/9x8twWxR6Obuwu039WL8CF9GDvZCexVD/opf90jEcHYfLOSDtBx+9+DN9i5H2EiLw2XIkCH86U9/orS0lJ49e7Jp0yZGjBiBRqNBr9eTmppKZGQkycnJBAYGAhAUFERycjJz5swhNTUVvV6PRqMhKCiIlJQU9Ho9mZmZaLVaevXqRWBgIJ9//jkRERGcPn2a3NxcRowYYfONFx3XqQtD/u7MLuTwyXIAfHt0JvKOgYwP8GFoP0+c5Qmm66JXT3ciJtxIytbjhN8+gIF9POxdkrCBFofLwIEDmTdvHjNnzsTZ2Zl+/frxhz/8AYD4+HgWLlzIm2++ia+vL6+99hoA8+bNY+HChYSHh9OlSxdWrFgBwIwZM1iyZAnh4eG4uLiwfPlyAEJCQti/f7/1Zn9CQgKurnK6LFqv8YZ8Yw/DZ0qqABjc14MZocMYF+DDDd5d2v0b8m3Vg/cMZdPuU/zzywO8POc22Q/tgEpRFMXeRdha47VDuefimGx1z8VosrD/WCk7sgvYdaCQ8koDzk4qRgzqyfgAX8b5+9DT4/oN+dtRtHb/rf/uR97+9w8sfvQWxgf4XoPKxK+x9XFTHsAX7UpVrYnMnAtD/h4qotZgwU3bcEO+Ychfb9ylN942KeTW/ny17QTvfnmAMX7ebWYkTdE6Ei7C4ZWeq2XnhctdPxwvxVKv0L2LlqDRfRnn78PIwT3RqOWGfFundnZiVqQ/f1i9k9TtJ5gcONDeJYmrIOEiHI6iKJwsrLR2CHns1DkA+ujcuS9oIONH+DKkb3fpUsQB6Yd5M2qIFx//5zB36fvKY98OTMJFOARLvcKhC0P+7swupOBsNQBD+3Xn4fDhjPP3oa93FztXKa5Ww5gvAcx7dTMf/ecws++Tp0QdlYSLaLMMJgv7jjQM+bvrYCHnq4yonZ0YObgnMRMHcYu/j7x01w719+3KPeP6kbrtBGG39aePTr40OCIJF2F3Fks91XVmaupMVNea2Heimg0/7OK/h4sxGC10dlWjH+bDuAAfxvjp6OQqN+Tbu9gQP7buOcO7Xx7k/x4bZ+9yRCtIuIirYjLXN4RCnYmaWnPDzzoT1bVmagwmaurMVNde+Flnoubi/64zUV1nxmC0XLLcHt1cuVvfl/EBvgQM7ClPDnUw3bu4MuXuwbyfmsO+IyWMHOJ15ZlEmyLh0oGZzJaGELhcONSZqak1/XRG8QufG831V1yP1sWZzq5qOrlq6OyqoZOrmp7d3az/3dB+4aebmtLCPCImjZcX6Tq4yYEDSf8+l3fWZbPqf++UHhMcjISLA1IUBaO5/sLB/zJnB41nDnU///yisKg1Y7ZcORjctM50ctVc+J+aLp1c8PbsRGc3zSWhcHF4NH7eyVWNuoXdz2cZCyRYBC4aZx4J92f5B5ls2n2Se8f1s3dJogUkXK4zRVEwGC0/HfQvdzmpzkSN4adAuNx0ZsuVO1Zw06obDv5uDQf9bu5aevV0v/D7RWcMbpeGQmdXNW6uGvm2KOxqwqherPu2O2vScpgwspfcb3MgEi4toCgKtQaz9WBfe7lwsF5Ounwo1NSZsdT/ejCoVNBJ2/Sg372LK328NHRyU182CBrOHi60u2pw1aolGITDU6lUPD45gOde/5bPNx9jRugwe5ckmqnDhEt9vUKd0dyMy0UXX15q+nltnYkr5AJOKhouB110dtDTw40b3Lr8FAo/+9zaduHykquLWl4AFOKCof08Cbq5D8kZxwge3w9d9072Lkk0Q7sOlxf/8T1F54wNTygZzFypi05nJ9Ul9w9+ur/wUwD8FBCXnkW4ujjL/QIhbGxm+DC+/yGf97/K4bmH7DOQnGiZdh0uXh5u6Hp0vSQcfgqPppeTtBoJBiHaIl33Ttx35yCSNh4h8o4BDO3nae+SxBW063B5asoo6XJfiHbi/omD+HpnHu+kZLP86Tvki2AbJ2+mCSEcQidXDQ+FDuNQXjnf7c23dzniCiRchBAO4+6xNzCgV1fe++oARtOlPTuItkPCRQjhMJydVDwWGUBxeS0pW4/buxzxKyRchBAOZeQQL24Z7sOnm45SXlln73LEL2h2uFRVVREREcHp06cB2LNnDw888ADh4eH87//+L0ajEYCcnBxiYmIIDg5m8eLFmM1mAPLz84mNjSUkJIS5c+dSXd0wHkdFRQWzZ88mNDSU2NhYSkpKADAajSxYsIDQ0FCio6M5fly+pQghGsyK8sdosvBh+iF7lyJ+QbPCZd++fUybNo3c3FygIWiefvpp/vCHP/DVV18B8NlnnwGwYMEClixZwoYNG1AUhaSkJACWLl3K9OnTSU9PJyAggMTERABWrVqFXq8nLS2NKVOmkJCQAMCaNWtwc3MjLS2NRYsWERcXZ9MNF0I4rt5e7oTfPoCvd+aRW1Bh73LEZTQrXJKSkoiPj0en0wGwbds2Ro0ahZ+fHwAvvPAC99xzD2fOnKGuro5Ro0YBEBMTQ3p6OiaTid27dxMcHNykHSAjI4PIyEgAIiIi2Lp1KyaTiYyMDKKiogAYO3YsZWVl5OfLEyJCiAZT7x1KJ1cNq1OyUa70hrS47pr1nkvj2USjvLw8OnXqxDPPPMOPP/7I6NGjWbhwIQcPHsTL66dxF7y8vCgqKqK8vBx3d3fUanWTdoDi4mLrPGq1Gnd3d8rKypq0N85TWFhIr169mr1x2dnZzZ5WtC1ZWVn2LkFcheu1/yYM60T6f0v4+MttDOntdl3WKZqnVS9RWiwWvvvuOz755BN69erF4sWL+fvf/85tt93W5MUmRVFQqVTWnxf7pRegFEXBycnpknka21siICBAXqJ0QFlZWYwZI118OKrruf9uGlnP/pPfsDXHwJTw21o8vIP4icFgsOkX8lbtiZ49ezJy5Ej69u2Ls7MzoaGh7N+/Hx8fH+sNeYDS0lJ0Oh2enp5UVlZisTQ8l15SUmK9xKbT6SgtLQXAbDZTXV2Nh4cH3t7eFBcXX7IsIYRopFE7MSvSn9PFVaR/n2vvcsRFWhUuEyZM4MCBAxQUFACwefNm/P396d27N1qt1npKnJKSQmBgIBqNBr1eT2pqKgDJyckEBgYCEBQURHJyMgCpqano9Xo0Gg1BQUGkpKQAkJmZiVarbdElMSFEx3CLvw83DerJ2g2Hqaox2rsccUGrwsXX15c//OEPzJkzh5CQEM6fP88TTzwBwIoVK1i2bBkhISHU1NQwc+ZMAOLj40lKSiIsLIzMzEzmz58PwLx589i7dy/h4eGsXbuWJUuWADBjxgyMRiPh4eEkJCSwfPlyW2yvEKKdUalUPBYVQFWtkU82HrF3OeICldIOH7NovHYo91wck9xzcWz22n+vf7KHzVmn+Nvzd9Grp/t1X7+js/VxU+5+CSHahYdCh6F2duK99QftXYpAwkUI0U54dnXlN3cN5vsfCvjheKm9y+nwJFyEEO3GfXcOoqeHG6vXZVN/pTHJxTUl4SKEaDe0GmceDhvG8dPn2Zx1yt7ldGgSLkKIdiXw5j4MucGD91NzqDOY7V1OhyXhIoRoV5ycGh5NLquo4/PNx+xdTocl4SKEaHeGD+jBhJG9+CLjGKXnau1dTock4SKEaJceifBHURTeT5VHk+1BwkUI0S55e3Yi6o4b2Zx1mqOnyu1dTocj4SKEaLcemDSEbu4uvCNjvlx3Ei5CiHark6uG2JBhHDxRxvYfCuxdToci4SKEaNfuveUG+vl04b31BzCZLfYup8OQcBFCtGvOzk7Migqg8GwNX357wt7ldBgSLkKIdm/0UB36Yd58svEw56sM9i6nQ5BwEUJ0CLMi/akzWli74ZC9S+kQJFyEEB1CX+8uhN7an/QdeZwsrLB3Oe2ehIsQosOYdu9Q3Fyc+eeXB+xdSrsn4SKE6DC6uWt58J6hZB0q5r+Hiu1dTrsm4SKE6FAiJgzAt0dnVn+ZjcVSb+9y2q1mhUtVVRURERGcPn26SfsHH3zAjBkzrL/n5+cTGxtLSEgIc+fOpbq6GoCKigpmz55NaGgosbGxlJSUAGA0GlmwYAGhoaFER0dz/PhxABRF4U9/+hMhISGEhYWRlZVlk40VQgiN2plHIoZzsrCS/+zMs3c57dYVw2Xfvn1MmzaN3NzcJu3Hjh3j73//e5O2pUuXMn36dNLT0wkICCAxMRGAVatWodfrSUtLY8qUKSQkJACwZs0a3NzcSEtLY9GiRcTFxQGwYcMGjh8/TmpqKn/729+Ii4vDbJZxGYQQtnHrCF/8b+zBhxsOUV1rsnc57dIVwyUpKYn4+Hh0Op21zWg0smTJEn73u99Z20wmE7t37yY4OBiAmJgY0tPTAcjIyCAyMhKAiIgItm7dislkIiMjg6ioKADGjh1LWVkZ+fn5bNmyhbCwMJycnBgwYAC+vr7s2bPHdlsthOjQVCoVj0cFUFFt5NNNR+xdTrukvtIEjWcZF3v11Ve5//776dOnj7WtvLwcd3d31OqGRXp5eVFUVARAcXExXl5eDStUq3F3d6esrKxJe+M8hYWFFBcXNwmzxvaWys7ObvE8om2QS6GOzVH23039O5G85Ri9u1Th6X7Fw6FogRb/Nbdt20ZBQQFxcXHs3LnT2q4oCiqVqsm0P//94mmdnJwumaexvb6+/rLtLRUQEIBWq23xfMK+srKyGDNmjL3LEK3kSPuv/6BannhlE1l5Tiyc6Rg1XysGg8GmX8hbfMRev349R48eZfLkybzwwgtkZ2czf/58PD09qaysxGJp6BiupKTEevah0+koLS0FwGw2U11djYeHB97e3hQX//Q4YGlpKTqdDh8fn8u2CyGELfXo5sb9dw5i27OFA2IAAB/SSURBVL58Dvx41t7ltCstDpdly5aRlpZGSkoKL7/8MgEBAaxatQqNRoNeryc1NRWA5ORkAgMDAQgKCiI5ORmA1NRU9Ho9Go2GoKAgUlJSAMjMzESr1dKrVy8CAwP58ssvsVgs5OXlkZuby4gRI2y1zUIIYRV95yA8u7qyel029fUy5out2PQ9l/j4eJKSkggLCyMzM5P58+cDMG/ePPbu3Ut4eDhr165lyZIlAMyYMQOj0Uh4eDgJCQksX74cgJCQEAYPHkxUVBRPPvkkCQkJuLq62rJUIYQAwFWr5uHwYRw9dY4te05feQbRLCqlHQ7P1njtUO65OCZHumYvLuWI+6++XuHZv2zhXKWBNxfejatLx7u5b+vjpryhL4To8JycVDwWFUDp+TqStxy3dzntgoSLEEIAAQN7cusIXz775ihnz9fauxyHJ+EihBAXPBrhj8VSzwdpMubL1ZJwEUKIC3x7diZiwo1syjzJ8dPn7F2OQ5NwEUKIizx4z1Dc3VxYve4A7fB5p+tGwkUIIS7i7qYhNngoPxwvZeeBlnc7JRpIuAghxM+E3Nqfvt7u/PPLA5jMMuZLa0i4CCHEzzg7OzErMoCC0mpSt5+wdzkOScJFCCEuY4yfjpuHePHRfw5TUW20dzkOR8JFCCEuQ6VqeLGyts7Ex18ftnc5DkfCRQghfkE/367cO74/qdtOcLq40t7lOBQJFyGE+BWxwX64aJz555cH7F2KQ5FwEUKIX+HRRcsDk4aw+2ARe48UX3kGAUi4CCHEFUXdcSM6z06sXncAi4z50iwSLkIIcQUuGmceCR9ObkEFG3edtHc5DkHCRQghmmHCyF4M6+/JB+k51NSZ7F1OmyfhIoQQzaBSqXh8cgDnKg189s1Re5fT5km4CCFEMw25oTt3ju5D8pbjFJfV2LucNk3CRQghWmBG2DBUwL9SD9q7lDat2eFSVVVFREQEp0+fBuCTTz4hIiKCyMhI4uLiMBobukfIyckhJiaG4OBgFi9ejNlsBiA/P5/Y2FhCQkKYO3cu1dXVAFRUVDB79mxCQ0OJjY2lpKQEAKPRyIIFCwgNDSU6Oprjx2XoUSGE/em6dyL6zkFs3XOGQ3ll9i6nzWpWuOzbt49p06aRm5sLwIkTJ1i9ejUff/wx69ato76+nrVr1wKwYMEClixZwoYNG1AUhaSkJACWLl3K9OnTSU9PJyAggMTERABWrVqFXq8nLS2NKVOmkJCQAMCaNWtwc3MjLS2NRYsWERcXZ+ttF0KIVrn/rsF076LlnZRsGfPlFzQrXJKSkoiPj0en0wHg4uJCfHw87u7uqFQqhgwZQn5+PmfOnKGuro5Ro0YBEBMTQ3p6OiaTid27dxMcHNykHSAjI4PIyEgAIiIi2Lp1KyaTiYyMDKKiogAYO3YsZWVl5Ofn23brhRCiFdy0amaEDuNwXjnf7j1j73LaJHVzJmo8m2jUu3dvevfuDUBZWRkffvghy5Yto7i4GC8vL+t0Xl5eFBUVUV5ejru7O2q1ukk70GQetVqNu7s7ZWVll11WYWEhvXr1avbGZWdnN3ta0bZkZWXZuwRxFTrC/vNwUvDpruHvX+zFxViIRq2yd0ltSrPC5ZcUFRXx+OOPc//99zNu3DiysrJQqX76AyuKgkqlsv682M9/v3geJyenS+ZpbG+JgIAAtFpti+YR9peVlcWYMWPsXYZopY60/7TdS1j85nZOVXVlyt1D7F3OVTEYDDb9Qt7qp8WOHz/O1KlTiY6O5qmnngLAx8fHekMeoLS0FJ1Oh6enJ5WVlVgsFgBKSkqsl9h0Oh2lpaUAmM1mqqur8fDwwNvbm+Li4kuWJYQQbcVNg7wY5+/Dp5uOUF5ZZ+9y2pRWhUtVVRWPPfYY8+bNY9asWdb23r17o9VqrafEKSkpBAYGotFo0Ov1pKamApCcnExgYCAAQUFBJCcnA5Camoper0ej0RAUFERKSgoAmZmZaLXaFl0SE0KI6+HRSH+Mpno+TD9k71LalFaFy2effUZpaSnvvvsukydPZvLkyfzlL38BYMWKFSxbtoyQkBBqamqYOXMmAPHx8SQlJREWFkZmZibz588HYN68eezdu5fw8HDWrl3LkiVLAJgxYwZGo5Hw8HASEhJYvny5LbZXCCFsqreXO+ETBvD1zjxO5J+3dzlthkpph8/RNV47lHsujqkjXbNvjzri/qusMTL7jxsZ1MeDPzxx6y/eU27LbH3clDf0hRDiKnXp5MK04KHsPVpCZk6RvctpEyRchBDCBsJuG0Bvr86sXncAs6Xe3uXYnYSLEELYgNrZiVmRAZwpqSJte669y7E7CRchhLCRscO9uWlQTz76zyGqaoz2LseuJFyEEMJGGsd8qao18fHXR+xdjl1JuAghhA0N6NWNSWNv4KttP5JfUmXvcuxGwkUIIWxsRugw1M5OvLv+gL1LsRsJFyGEsLHuXV35zd2D2ZFdyA/HSu1djl1IuAghxDVwX9Agenq48c66bCz17e5d9SuScBFCiGtAq3Hm4fDh/HjmPJszT9m7nOtOwkUIIa6RoJt7M/SG7qxJO0itwWzvcq4rCRchhLhGGh9NLqsw8MXmY/Yu57qScBFCiGvIr78nd4zqzRcZxyg9V2vvcq4bCRchhLjGHg4fjqIovJ960N6lXDcSLkIIcY15e3ZicuBANmed5sjJcnuXc11IuAghxHUw5e7BeLhrWb0um3Y4jNYlJFyEEOI66OSqITbEj4Mnyti+v8De5VxzEi5CCHGd3DOuH/19u/Lu+gOYzBZ7l3NNSbgIIcR14uykYlakP0VlNXz57Y/2Lueaana4VFVVERERwenTpwHYvn07kZGR3HvvvaxcudI6XU5ODjExMQQHB7N48WLM5oYXh/Lz84mNjSUkJIS5c+dSXV0NQEVFBbNnzyY0NJTY2FhKSkoAMBqNLFiwgNDQUKKjozl+/LjNNloIIezl5qE69MO8+WTjEc5VGuxdzjXTrHDZt28f06ZNIzc3F4C6ujoWLVpEYmIiqampZGdns2XLFgAWLFjAkiVL2LBhA4qikJSUBMDSpUuZPn066enpBAQEkJiYCMCqVavQ6/WkpaUxZcoUEhISAFizZg1ubm6kpaWxaNEi4uLibL3tQghhF7Mi/akzWlj7n0P2LuWaaVa4JCUlER8fj06nA2D//v3069ePvn37olariYyMJD09nTNnzlBXV8eoUaMAiImJIT09HZPJxO7duwkODm7SDpCRkUFkZCQAERERbN26FZPJREZGBlFRUQCMHTuWsrIy8vPzbbv1QghhB329uxB2a382fJ9LXmGFvcu5JtTNmajxbKJRcXExXl5e1t91Oh1FRUWXtHt5eVFUVER5eTnu7u6o1eom7T9fllqtxt3dnbKysssuq7CwkF69ejV747Kzs5s9rWhbsrKy7F2CuAqy/65smLeFr9UqVn2wnYcmel15BgfTrHD5ufr6elQqlfV3RVFQqVS/2N7482I///3ieZycnC6Zp7G9JQICAtBqtS2aR9hfVlYWY8aMsXcZopVk/zVfmfkYq9cdgM59GOPnbddaDAaDTb+Qt+ppMR8fH+uNd4CSkhJ0Ot0l7aWlpeh0Ojw9PamsrMRisTSZHhrOekpLGwbTMZvNVFdX4+Hhgbe3N8XFxZcsSwgh2ovw2wfg26Mzq9cdwGKpt3c5NtWqcBk5ciQnTpwgLy8Pi8XC+vXrCQwMpHfv3mi1WuspcUpKCoGBgWg0GvR6PampqQAkJycTGBgIQFBQEMnJyQCkpqai1+vRaDQEBQWRkpICQGZmJlqttkWXxIQQoq3TqJ15NHI4p4oq2bAzz97l2FSrwkWr1fLKK6/w9NNPExYWxo033khISAgAK1asYNmyZYSEhFBTU8PMmTMBiI+PJykpibCwMDIzM5k/fz4A8+bNY+/evYSHh7N27VqWLFkCwIwZMzAajYSHh5OQkMDy5cttsb1CCNGmjA/wJWBgDz5MP0R1rcne5diMSmmHndw0XjuUey6OSa7ZOzbZfy137PQ5/nfVFqKDBvFopL9darD1cVPe0BdCCDsb1MeDu/R9WfftjxSerbZ3OTYh4SKEEG3AjNBhODureG99+xjzRcJFCCHagB7d3Lh/4mC27c/nwI9n7V3OVZNwEUKINiI6aCA9urnyzrps6usd+3a4hIsQQrQRrlo1M8OGc+zUObbsOW3vcq6KhIsQQrQhd47uw6C+Hrz/1UHqjGZ7l9NqEi5CCNGGODmpeDwqgNLzdSRvcdyhRiRchBCijfG/sQe33eTLZ98c5ez5WnuX0yoSLkII0QY9Eu6PxaLwQZpjjvki4SKEEG2Qb8/ORN5xI5syT3Ls9Dl7l9NiEi5CCNFGPTBpCF06ubB6XTaO1lOXhIsQQrRR7m4apgf7kX38LDuyC+1dTotIuAghRBsWMr4ffb278O76A5jMjjPmi4SLEEK0Yc7OTjwW5U9BaTVfbTth73KaTcJFCCHauDF+3owequPjrw9TUW20dznNIuEihBAOYFaUP7V1Jj76j2M8mizhIoQQDqCfT1eCx/cndXsup4oq7V3OFUm4CCGEg5ge7IerizPvrj9g71KuSMJFCCEchEcXLQ/cPYTdB4vYe6TY3uX8qqsKl5SUFMLDwwkPD+dPf/oTADk5OcTExBAcHMzixYsxmxt69czPzyc2NpaQkBDmzp1LdXXDUJ4VFRXMnj2b0NBQYmNjKSkpAcBoNLJgwQJCQ0OJjo7m+HHH7cBNCCFsJfKOG/H27MTqdQewtOExX1odLrW1tSQkJLBmzRpSUlLIzMxk+/btLFiwgCVLlrBhwwYURSEpKQmApUuXMn36dNLT0wkICCAxMRGAVatWodfrSUtLY8qUKSQkJACwZs0a3NzcSEtLY9GiRcTFxdlgc4UQwrG5aJx5JGI4uQUVbNyVZ+9yflGrw8VisVBfX09tbS1msxmz2Yxaraauro5Ro0YBEBMTQ3p6OiaTid27dxMcHNykHSAjI4PIyEgAIiIi2Lp1KyaTiYyMDKKiogAYO3YsZWVl5OfnX9XGCiFEe3D7Tb0Y1t+TD9IOUVNnsnc5l6Vu7Yzu7u7MmzeP0NBQ3NzcGDt2LBqNBi8vL+s0Xl5eFBUVUV5ejru7O2q1ukk7QHFxsXUetVqNu7s7ZWVlTdob5yksLKRXr17NrjE7O7u1myfsLCsry94liKsg++/amzBUzT9yDfz1w2+ZNKqbvcu5RKvD5dChQ3z++eds3ryZLl268Nxzz7Ft2zZUKpV1GkVRUKlU1p8X+/nvF8/j5OR0yTyN7S0REBCAVqtt0TzC/rKyshgzZoy9yxCtJPvv+hgDHC3NYtu+fB6NHo/Os9NVLc9gMNj0C3mrL4t999133HrrrfTo0QMXFxdiYmLYuXOn9YY8QGlpKTqdDk9PTyorK7FYLACUlJSg0+kA0Ol0lJaWAmA2m6mursbDwwNvb2+Ki4svWZYQQogGM0OHo1Kp+NdXB+1dyiVaHS5+fn5s376dmpoaFEXhm2++4ZZbbkGr1VpPiVNSUggMDESj0aDX60lNTQUgOTmZwMBAAIKCgkhOTgYgNTUVvV6PRqMhKCiIlJQUADIzM9FqtS26JCaEEO2dV3c3ou8cyNa9ZziUW2bvcppodbhMmDCB8PBwYmJiiIqKwmw2M3v2bFasWMGyZcsICQmhpqaGmTNnAhAfH09SUhJhYWFkZmYyf/58AObNm8fevXsJDw9n7dq1LFmyBIAZM2ZgNBoJDw8nISGB5cuX22BzhRCifbl/4mA8u2p5p42N+aJS2lI1NtJ47VDuuTgmuWbv2GT/XX8bd+Xxl0/28lzsGIJG92nVMmx93JQ39IUQwsHdpb+BG3t341+pBzGYLPYuB5BwEUIIh+fkpOLxqABKymtJ2dI2ejORcBFCiHZgxKCejA/w4bNvjlBeUWfvciRchBCivXg0wh+TuZ4P0u0/5ouEixBCtBO9vNwJv/1Gvt6Vx4n883atRcJFCCHakan3DMHdTcNqOz+aLOEihBDtiHsnF6bd68e+o6XszimyWx0SLkII0c6E3taf3l7u/HPdAcyWervUIOEihBDtjNrZiVlR/pwpqSJte65dapBwEUKIdmjsMG9GDu7JR/85RFWN8bqvX8JFCCHaIZVKxWNRAVTVmvj46yPXff0SLkII0U4N6NWNe27px1fbfiS/pOq6rlvCRQgh2rGHQvzQqJ14d/2B67peCRchhGjHund15Td3DWFHdiH7j5VceQYbkXARQoh2bnLQQLy6u7E65QCW+uvzYqWEixBCtHNajTOPhA/nx/zzbM48eV3WKeEihBAdwB2jejO0X3fWpOVQazBf8/VJuAghRAegUql4fHIAZRUGPt989JqvT8JFCCE6CL9+ngSO6s2/M45TUl57Tdd1VeHyzTffEBMTQ2hoKC+//DIA27dvJzIyknvvvZeVK1dap83JySEmJobg4GAWL16M2dxwWpafn09sbCwhISHMnTuX6upqACoqKpg9ezahoaHExsZSUnL9nnIQQoj26uHw4SiKwvtpB6/pelodLqdOnSI+Pp7ExETWrVvHwYMH2bJlC4sWLSIxMZHU1FSys7PZsmULAAsWLGDJkiVs2LABRVFISkoCYOnSpUyfPp309HQCAgJITEwEYNWqVej1etLS0pgyZQoJCQk22FwhhOjYdJ6duC9oIBlZpzlysvyarafV4fL1118TFhaGj48PGo2GlStX4ubmRr9+/ejbty9qtZrIyEjS09M5c+YMdXV1jBo1CoCYmBjS09MxmUzs3r2b4ODgJu0AGRkZREZGAhAREcHWrVsxmUxXu71CCNHh/eauwXi4a3kn5dqN+dLqcMnLy8NisTBnzhwmT57M2rVrKS4uxsvLyzqNTqejqKjoknYvLy+KioooLy/H3d0dtVrdpB1oMo9arcbd3Z2ysrLWliuEEOKCTq4aHgr1Iye3jG3786/JOtStndFisZCZmcmaNWvo1KkTc+fOxdXVFZVKZZ1GURRUKhX19fWXbW/8ebGf/37xPE5OLcvC7OzsFk0v2o6srCx7lyCuguy/ts/TWUHnoeHtz/egNhSgcb78sbe1Wh0uPXv25NZbb8XT0xOASZMmkZ6ejrOzs3WakpISdDodPj4+TW7Il5aWotPp8PT0pLKyEovFgrOzs3V6aDjrKS0txcfHB7PZTHV1NR4eHi2qMSAgAK1W29pNFHaSlZXFmDFj7F2GaCXZf45D062Y/3v7e85UdSPi9hts+oW81ZfFJk6cyHfffUdFRQUWi4Vvv/2WkJAQTpw4Yb1ktn79egIDA+nduzdardb6bSYlJYXAwEA0Gg16vZ7U1FQAkpOTCQwMBCAoKIjk5GQAUlNT0ev1aDSaq91eIYQQF4waomPscG+SNh2hotq2Y760+sxl5MiRPP7440yfPh2TycTtt9/OtGnTuPHGG3n66acxGAwEBQUREhICwIoVK3jhhReoqqrC39+fmTNnAhAfH8/ChQt588038fX15bXXXgNg3rx5LFy4kPDwcLp06cKKFStssLlCCCEu9miEP0+v2EzK1uPc3Nd2y1Up1+pRATsyGAxkZ2fLZTEHJZdVHJvsP8fz9r/3s23vSeZF+drsuClv6AshRAc37V4/XLWtvpB1WRIuQgjRwXXt7EJM0ECbLlPCRQghBBP1N9h0eRIuQgghbE7CRQghhM1JuAghhLA5CRchhBA2J+EihBDC5iRchBBC2JyEixBCCJuz7SuZbURjjzZGo207YhPXj8FgsHcJ4irI/nM8jcdLW/UI1i77FqusrOTIkSP2LkMIIRzOkCFD6NKly1Uvp12GS319PdXV1Wg0ml8cfEwIIcRPFEXBZDLRuXPnFg/MeDntMlyEEELYl9zQF0IIYXMSLkIIIWxOwkUIIYTNSbgIIYSwOQkXIYQQNifhIoQQwuYkXIQQQticQ4XLG2+8QXh4OOHh4SxfvhyA7du3ExkZyb333svKlSut027cuJHJkycTFRXFk08+yfnz5wHIz88nNjaWkJAQ5s6dS3V1tV22paOxxb5rtGrVKv76179e1/o7Olvsv6ysLH7zm98wefJkHn74Yc6cOWOXbelobLHvMjMziYmJITIykjlz5lzyb/KyFAexbds25cEHH1QMBoNiNBqVmTNnKl9++aUSFBSknDx5UjGZTMqsWbOUjIwMpbKyUrn99tuVwsJCRVEUZdWqVcpLL72kKIqizJ49W1m/fr2iKIryxhtvKMuXL7fbNnUUttp3FRUVSlxcnHLTTTcpr7/+uj03qUOx1f6bOHGikpOToyiKonz66afKnDlz7LZNHYWt9t2kSZOUo0ePKoqiKH/+85+VV1999YrrdpgzFy8vLxYuXIiLiwsajYaBAweSm5tLv3796Nu3L2q1msjISNLT0zGZTMTHx+Pt7Q3A0KFDKSgowGQysXv3boKDgwGIiYkhPT3dnpvVIdhi3wFs2rSJ/v378+ijj9pzczocW+w/o9HIvHnz8PPza9Iuri1b/dtLTU1l0KBBmEwmioqK6Nq16xXX7TDhMnjwYEaNGgVAbm4uaWlpqFQqvLy8rNPodDqKioro3r0799xzDwB1dXX8/e9/Z9KkSZSXl+Pu7o5a3dAZtJeXF0VFRdd/YzoYW+w7gPvuu4/Zs2fj7Ox8/TeiA7PF/nNxcWHy5MlAQ99/b7zxhnW/imvHVv/2NBoNhw8fJigoiJ07dxIeHn7FdTtMuDQ6evQos2bN4vnnn6dv375NOqZUFKXJ75WVlcyePRs/Pz+io6Mv+RyQji2vo6vZd8L+bLH/jEYjzz33HGazmSeeeOK61t+R2WLfDR06lO3bt/Pkk0/yzDPPXHGdDhUuWVlZPPLIIzz77LNER0fj4+NDSUmJ9fOSkhJ0Oh0AxcXFTJ8+naFDh5KQkACAp6cnlZWVWCyWS6YX19bV7jthX7bYf9XV1Tz++OOYzWbefPNNNBrNdd+Ojuhq953BYGDjxo3W6aOiojh8+PCVV3xN7iJdA/n5+cq4ceOU7du3W9vq6uqUwMBAJTc3VzGbzcpjjz2mpKamKmazWYmOjlb+9re/XbKc//mf/1HWrVunKIqiJCYmKi+++OJ124aOylb7rtHrr78uN/SvI1vtv7lz5yovvPCCYrFYrmf5HZot9p3ZbFYmTJig/PDDD4qiKMpnn32mzJo164rrdpiRKFevXo3BYOCVV16xtk2dOpVXXnmFp59+GoPBQFBQECEhIWzcuJGDBw9isVjYsGEDAAEBASQkJBAfH8/ChQt588038fX15bXXXrPXJnUYttp3wj5ssf9iY2PZtGkTgwYNsl5q0el0/OMf/7DLNnUUtvq3t3LlSpYsWYLFYsHb27tZ/x5lPBchhBA251D3XIQQQjgGCRchhBA2J+EihBDC5iRchBBC2JyEixBCCJtzmEeRhbCl06dPc8899zBkyBCgoUuSzp07M3PmTMLCwppM+8033zB37lxWrlxp/ayiooIZM2YAUFNTQ1FREQMGDADgtttuIzY2tsnyL/bpp5/i4uJySfv3339PYmIiRUVFuLq60qNHD5566in0er11mqKiIlauXMmBAwdQqVRotVqeeOKJJl2pbN68mX/+859UVFRgNpsZPHgwv//97/H19b3Kv5oQLWDLF3aEcBSnTp1SRo0a1aTt9OnTyqRJk5T09PQm7Y899pjy7LPPKlOmTLnssnbs2KGEh4dfcfm/ZuPGjcqkSZOU//73v9a2PXv2KHfeeaeSkZGhKIqinD17VrnzzjuVf//730p9fb2iKIqSk5OjjB8/Xvnuu+8URVGUdevWKaGhoUpubq6iKIpSX1+vvPXWW8qkSZMUg8HQ7HqEuFpyWUyIC3r37s3vfvc7Vq9ebW07deoUu3btIi4ujry8PPbu3XtN1r18+XJeeOEFbr75ZmvbqFGjWLRokXUMjrVr1zJ69Gjuu+8+a19Qfn5+vP766/Ts2ROAlStXsnjxYvr16wc09J03e/Zsnn76aYxG4zWpXYjLkctiQlzEz8+PI0eOWH//6KOPuPPOO+nRowdhYWG89957rFq1qlnLqqurs/YE3Gj06NHEx8c3aSsvLyc3N5exY8desoxbb72V3/72t5w/f57s7GzuuOOOS6ZpnK+8vJwzZ84wevToJp+rVCqioqKaVbMQtiLhIsRFVCoVrq6uQEMPvl988QV//OMfAYiOjmbatGkUFBQ06/6Fq6srKSkpzV632Wy+pM1kMlnrUqlUKL/SoYaTU8OFiPr6+mavU4hrRS6LCXGRH374wXoTPjU1lYqKCl566SXuuusu5s+fj0qlYs2aNTZdZ/fu3RkwYAC7du265LMdO3YwcOBAunbtyqhRoy57We7jjz/m3XffpVu3bvTv3599+/ZdMs28efM4dOiQTesW4tdIuAhxwYkTJ0hMTGTWrFlAw0F7zpw5bN68mW+++YZvvvmGF198kU8//ZSamhqbrjsuLo4//vGPTcJjz549vPLKKzz33HMAPPjgg+zatYt169ZZz2Cys7N5/fXXrYH429/+loSEBPLy8gCwWCwkJiZy6NAhbrzxRpvWLMSvkY4rRYf080eRnZyc0Gq1PPzww4SGhnLo0CEefPBBNm/ejKenp3U+s9lMcHAws2bNIjY2FoCdO3fy0ksvsX79+l9c/sVeeeUVhg0bdkn77t27rY8i19fX4+Pjw5w5cxg/frx1mry8PP785z9z4sQJnJyccHNzY+7cuUycONE6zbp16/jXv/6F2WzGYDDg7+/PggUL8PHxufo/nBDNJOEihBDC5uSymBBCCJuTcBFCCGFzEi5CCCFsTsJFCCGEzUm4CCGEsDkJFyGEEDYn4SKEEMLmJFyEEELY3P8PAAtPryB+5n5/AAAAAElFTkSuQmCC\n", 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\n", 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\n", 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\n", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.subplot()\n", + "# yearly arrest\n", + "arrest_yearly.resample('A').sum().plot()\n", + "plt.title('Yearly Part 1-2')\n", + "plt.show()\n", + "# Monthly arrest\n", + "arrest_yearly.resample('M').sum().plot()\n", + "plt.title('Monthly Part 1-2')\n", + "plt.show()\n", + "# Weekly arrest\n", + "arrest_yearly.resample('W').sum().plot()\n", + "plt.title('Weekly Part 1-2')\n", + "plt.show()\n", + "# daily arrest\n", + "arrest_yearly.resample('D').sum().plot()\n", + "plt.title('Daily Part 1-2')\n", + "plt.show()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": {}, + "outputs": [], + "source": [ + "crimes_count1 = pd.DataFrame(df_crimes.groupby('AREA NAME').size().sort_values(ascending=False).rename('counts').reset_index())" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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AREA NAMEcounts
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" + ], + "text/plain": [ + " AREA NAME counts\n", + "0 Central 47443\n", + "1 77th Street 44877\n", + "2 Pacific 40958\n", + "3 Southwest 39763\n", + "4 Hollywood 37947" + ] + }, + "execution_count": 60, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "crimes_count1.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(21, 2)" + ] + }, + "execution_count": 61, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "crimes_count1.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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1fvx4TZ06VSEhIZoyZYp27Nhx3u01b95c999/v+Lj41VcXKx77rlHbdu2rYhDAQD8H5fV7feWcPs9gJ+L2+9PuCKWFgEAly9CBgAwjZABAEwjZAAA0wgZAMA0QgYAMI2QAQBMI2QAANMIGQDANEIGADCNkAEATCNkAADTCBkAwDRCBgAwjZABAEwjZAAA0wgZAMA0QgYAMI2QAQBMI2QAANMIGQDANEIGADCNkAEATCNkAADTCBkAwDRCBgAwjZABAEzzOI7juD3ElSYvv0DB1YLcHgOAcf5iRwFVPG6P4TquyFywOXuT2yNUGl6v1+0RKg3OxSmci1POdy6I2AmEDABgGiEDAJhGyAAAphEyAIBphAwAYBohAwCYRsgAAKYRMgCAaYQMAGAaIQMAmEbIAACmETIAgGmEDABgGiEDAJhGyAAApvFgTRfwYE0AF8Nf7CjzP18oNDTU7VEqtUC3B7gSBVcLUmrGfrfHAFDJxYXVdXsEE1haBACYRsgAAKYRMgCAaYQMAGAaIQMAmEbIAACmETIAgGmEDABgGiEDAJhGyAAAphEyAIBphAwAYBohAwCYRsgAAKYRMgCAaYQMAGAaIQMAmEbIAACmETIAgGmEDABgGiEDAJhGyAAAphEyAIBphAwAYBohAwCYRsgAAKYRMgCAaZUiZB999JFiY2PVt29fRUVF6e23376k7axcuVIzZ86UJCUmJioxMbEsxzyrP//5z9q4cWO57wcAcHaBbg+wb98+TZ48WfPmzVNISIhyc3OVkJCgRo0aqWvXrqXaVnZ2djlNeW4bNmxQeHh4he8XAHCC61dkhw8fVmFhofLy8iRJNWrU0KuvvqrGjRsrMzNTAwYMUN++fTVkyBDt3LlTkpSQkKD09HRJks/nU2RkpLZt26bk5GQlJydr7ty5kqSsrCzFx8erS5cuSkxMVFFRke6++24dO3ZMkhQfH6+kpCRJ0pIlSzRhwgT5/X698soriomJUd++ffXuu+9Kkr7//nvdf//9io2NVVxcnDIzM7VgwQJlZ2dr3Lhx2rp1a0WeNgDA/8/1kN1+++3q2rWrfv3rXysuLk5Tp05VcXGxGjRooFGjRumFF17QokWLFB8fr1GjRp1zO40bN1Z8fLzi4+PVv39/SdLBgwf1/vvva+7cuXrnnXeUl5eniIgIbdiwQbm5udq7d682bNggSfr888/VuXNnpaSkSJLmz5+v1NRUrVixQhs3blRqaqo6d+6sefPm6YknnpDX61W/fv3UokULTZo0SU2bNi3/kwUAOIPrIZOkCRMm6NNPP9W9996rvXv3auDAgUpKStI111yjli1bSpJ69uypXbt26ccff7zo7Xbo0EFBQUGqXbu2QkJCdPToUXXq1Enr16/Xxo0bFRUVpW3btqmwsFAbN25URESE1q9fr08//VTR0dEaMGCAvv/+e23dulV33323/v73v+vpp5/WkSNHdP/995fX6QAAlILrvyNbtWqVjh8/rl69eql///7q37+/UlJStHjx4jM+6ziO/H5/yd8lqaio6JzbDgw8dXgej0eO46hjx46aOXOmAgICdPfdd2v79u1KTU1VkyZNVK1aNfn9fo0ePVrdunWTJB06dEg1atRQtWrVtHTpUq1atUoffvih5s+fX3JjCQDAPa5fkQUHB2vatGny+XySTgRqy5Ytat26tY4cOaKsrCxJ0ocffqiGDRvq2muvVUhIiLZt2yZJ+uSTT0q2FRAQcN6wSVLt2rUVHByslStXKjQ0VBEREXrzzTfVpUsXSVJERIRSUlJUWFio3NxcDR48WJmZmZoyZYoWLVqkmJgYvfjii/rqq69K9nkyrgCAiuf6FVlERIRGjhypRx99VIWFhZJOLAk+/vjjioyM1MSJE/XTTz+pVq1aeu211yRJw4YN09ixYzV37tzT7mxs06aNxowZo+uuu+68++zYsaM+++wz1ahRQxEREfrDH/6gTp06STpxA8jOnTsVExOjoqIixcbGKjw8XDfddJOefvppzZs3TwEBAZo8eXLJrC+99JImT56sO++8szxOEQDgPDzOyTU6VKjUjP1ujwCgkosLqyuv16vQ0FC3R6nUXF9aBADg5yBkAADTCBkAwDRCBgAwjZABAEwjZAAA0wgZAMA0QgYAMI2QAQBMI2QAANMIGQDANEIGADCNkAEATCNkAADTCBkAwDRCBgAwjZABAEwjZAAA0wgZAMA0QgYAMI2QAQBMI2QAANMIGQDANEIGADCNkAEATCNkAADTCBkAwLRAtwe4EuXlFygurK7bYwCo5PzFjtsjmMAVmQs2Z29ye4RKw+v1uj1CpcG5OIVzcUJAFY/bI5hAyAAAphEyAIBphAwAYBohAwCYRsgAAKYRMgCAaYQMAGAaIQMAmEbIAACmETIAgGmEDABgGiEDAJhGyAAAphEyAIBpHsdxeOBNBcvLL1BwtSC3xwBQwfzFTqkfzeL1ehUaGlpOE10eeLCmC4KrBSk1Y7/bYwCoYDxQt3ywtAgAMI2QAQBMI2QAANMIGQDANEIGADCNkAEATCNkAADTCBkAwDRCBgAwjZABAEwjZAAA0wgZAMA0QgYAMI2QAQBMI2QAANMIGQDANEIGADCNkAEATCNkAADTCBkAwDRCBgAwjZABAEwjZAAA0wgZAMA0QgYAMI2QAQBMI2QAANMqRch8Pp8iIyPPeL1p06bn/E56eroSEhIkSQkJCUpPTy+3+S4kMjJSPp/Ptf0DwJWsUoQMAIBLVelDVlxcrEmTJql3797q06ePkpKSzvnZ0aNHKyUlpeTnhIQEJSUl6amnnpIk7dixQ02bNtWBAwckSQ899JCysrK0Y8cOJSQkKCoqSoMGDVJWVpYk6cCBA3rkkUcUFRWlmJgYrV69WpJ05MgRPfzww4qKitJTTz2l/Pz88jp8AMAFBLo9wEk5OTmKjo4+4/XZs2fru+++06JFi1RQUKCEhAQ1adJE1atXP+Oz/fv3V2JiogYOHKg9e/bo0KFDGjx4sHr27CnHcZSWlqY6deooIyNDkZGR2rFjh375y19qwIABGj58uLp166bMzEw9+eSTWr58uSZOnKiIiAgNHTpUu3fv1r333qsFCxbozTffVLNmzfTWW29pw4YNWrZsWUWcIgDAWVSaK7J69epp4cKFp/2RTvwuLCYmRgEBAapevbqioqK0fv36s24jPDxcOTk58vl8WrBggaKjo1WzZk01atRIW7duVVpamoYMGaINGzYoPT1dEREROn78uHbt2qVu3bpJklq3bq1atWpp+/btSktLU1xcnCTpxhtvVKtWrfTll18qIyNDvXr1kiS1adNGN954YwWcIQDA2VSakJ1LcXHxaT87jiO/33/Wz3o8HvXr109Lly7VsmXLSq7wOnfurLVr12r79u0aOHCgNm7cqNWrV6tLly5yHOeM7Zzcx/997+TrHo/ntPcCAgJ+7mECAC5RpQ9ZRESEFixYIL/fr59++kmLFy9WeHj4OT8fGxur5ORkNWjQQPXr15ckderUScnJyWrcuLFCQkJUtWpVrVy5Um3btlXNmjV1ww036N///rckKTMzUwcOHNBtt92miIgIpaamSpJ2796tL774Qq1bt9bdd99dcsWYlZWlXbt2lfNZAACcS6X5Hdm5DBo0SN9++62io6NVWFioqKgo3XPPPee83b5BgwZq0KCBYmJiSl679dZb5TiOwsLCJElhYWH6+uuvVaNGDUnS1KlTNX78eCUmJqpq1apKTExUUFCQnn/+eb344ouaN2+eJGnSpEmqV6+ennjiCY0dO1a9e/fW//zP/7C0CAAu8jhnW1szynEc5eTkKCEhQUuWLFFQUJDbI51TasZ+t0cAUMHiwuqW+jter1ehoaHlMM3lo9IvLZbG8uXLFR0drVGjRlXqiAEAyk6lX1osjR49eqhHjx5ujwEAqECX1RUZAODKQ8gAAKYRMgCAaYQMAGAaIQMAmEbIAACmETIAgGmEDABgGiEDAJhGyAAAphEyAIBphAwAYBohAwCYRsgAAKYRMgCAaYQMAGAaIQMAmEbIAACmETIAgGmEDABgGiEDAJhGyAAApl10yH744YfynAMAgEtywZBt375dvXr1Uu/evbVv3z717NlT33zzTUXMBgDABV0wZJMmTdLzzz+vOnXqqH79+rr//vv14osvVsRsAABcUOCFPnDkyBG1a9dOU6dOlSTdd999SklJKffBLmd5+QWKC6vr9hgAKpi/2FFAFY/bY1x2Lup3ZPn5+fJ4Tpz8/fv3q7i4uFyHutxtzt7k9giVhtfrdXuESoNzccrlei6IWPm44BXZ4MGD9dBDD+ngwYOaNm2ali5dqmHDhlXEbAAAXNAFQxYXF6ebb75Zq1atUlFRkSZOnKh27dpVxGwAAFzQBUMmSY0bN9aRI0dUpUoVtWzZsrxnAgDgol3wd2Qff/yxunXrpvfee09vv/227rnnHqWlpVXEbAAAXNAFr8hee+01/fOf/1TTpk0lSZs3b9a4ceM0f/78ch8OAIALueAVWXBwcEnEJKl58+YldzACAOC2C4asY8eOSkpK0vHjx5Wfn685c+botttu09GjR3XkyJGKmBEAgHO64NLiW2+9Jb/fr+nTp5/2+sKFC+XxeLRly5ZyGw4AgAu5YMgyMzNVtWrVipgFAIBSu+DSYmRkpF577TXt3bu3IuYBAKBULhiyOXPmKCAgQPfdd58eeeQRrVq1So7jVMRsAABc0AVD1rBhQz3xxBNasWKFBgwYoIkTJ6pr1656++23VVBQUBEzAgBwThf1nwZ/8803mjJlisaPH6877rhD48aN0549e/Tkk0+W93wAAJzXOW/2KCgoUFBQkO69917t3r1bcXFxSk1N1fXXXy9J6ty5syIiIipsUAAAzuacIRs0aJDmz5+vwYMHq0ePHmfcuVilShWtXLmy3AcEAOB8PM457tzo16+fFixYUNHzXBHy8gsUXC3I7TEAlIHyflim1+tVaGhouW3/cnDOK7L8/Hx99dVX57xDsXnz5uU21OUuuFqQUjP2uz0GgDLA097dd86Q7d69W48//vhZQ+bxeLRixYpyHQwAgItxzpA1btyYpUUAQKV3UbffAwBQWZ0zZHfddVdFzgEAwCU5Z8jGjRtXkXMAAHBJWFoEAJhGyAAAphEyAIBphAwAYBohAwCYRsgAAKYRMgCAaYQMAGAaIQMAmEbIAACmETIAgGmEDABgGiEDAJhGyAAAphEyAIBphAwAYBohAwCYRsgAAKYRMgCAaYQMAGAaIQMAmEbIAACmBbo9wH/76KOPlJSUpKKiIjmOo+joaA0bNqzU21m5cqW+/fZbDR06VImJiZKkxx9/vKzHlSSlpKToqquuUp8+fcpl+wCA86s0Idu3b58mT56sefPmKSQkRLm5uUpISFCjRo3UtWvXUm0rOzu7nKY80xdffKGwsLAK2x8A4HSVJmSHDx9WYWGh8vLyJEk1atTQq6++qmrVqikzM1O///3vlZ+fr5CQEL388su6+eablZCQoJEjRyo8PFw+n08PPPCAkpKSlJycLElq2LChJCkrK0vx8fHat2+fYmNj9fjjj8vv92vKlCnKyMiQ3+9XbGysHnzwQRUVFWn8+PH6+uuvdeDAATVt2lTTp09XUVGRRo0apQMHDkiSRowYoerVq+vTTz9VWlqa6tatqw4dOrhz8gDgClZpQnb77bera9eu+vWvf6077rhD4eHhioqKUoMGDTR06FD96U9/UsuWLbVs2TKNGjVKc+fOPet2GjdurPj4eElS//79lZiYqIMHDyo5OVnHjh1TZGSkhg4dqsWLF0uS5s+fr4KCAj300ENq0aKFHMdR1apVNWfOHBUXF2vIkCH67LPPdPz4cf3iF79QUlKStmzZokWLFmnMmDGKjIxUWFgYEQMAl1SakEnShAkT9Nhjj2nNmjVas2aNBg4cqOHDh+uaa65Ry5YtJUk9e/bUiy++qB9//PGit9uhQwcFBQWpdu3aCgkJ0dGjR7V+/Xpt2bJFaWlpkqTjx49r69atuu+++3Tttddq1qxZ2r59u7799lsdP35cv/rVrzR9+nTt27dPnTt31ogRI8rlHAAASqfShGzVqlU6fvy4evXqpa+oPLEAACAASURBVP79+6t///5KSUkpuXL6b47jyO/3l/xdkoqKis657cDAU4fp8XhKvj969Gh169ZNknTo0CHVqFFDK1as0J///Gc98MADio2N1eHDh+U4jm655RYtW7ZMn3/+uVauXKm///3v+vDDD8vyFAAALkGluf0+ODhY06ZNk8/nk3QiUFu2bFHr1q115MgRZWVlSZI+/PBDNWzYUNdee61CQkK0bds2SdInn3xSsq2AgIDzhk2SIiIilJKSosLCQuXm5mrw4MHKzMzU+vXr1bNnT/Xv31/XXHON0tPT5ff79c9//lOJiYnq2bOnXnrpJR06dEjHjh1TQEBASVQBABWv0lyRRUREaOTIkXr00UdVWFgo6cSS4OOPP67IyEhNnDhRP/30k2rVqqXXXntNkjRs2DCNHTtWc+fOPe3OxjZt2mjMmDG67rrrzrm/+Ph47dy5UzExMSoqKlJsbKzCw8N17bXX6plnntHSpUtVtWpV3XnnnfL5fHr44Yc1atQoRUVFKSAgQKNHj9Y111yjtm3bavr06br66qvVo0eP8j1JAIAzeJyTa3OoUKkZ+90eAUAZiAurW67b93q9Cg0NLdd9WFdplhYBALgUhAwAYBohAwCYRsgAAKYRMgCAaYQMAGAaIQMAmEbIAACmETIAgGmEDABgGiEDAJhGyAAAphEyAIBphAwAYBohAwCYRsgAAKYRMgCAaYQMAGAaIQMAmEbIAACmETIAgGmEDABgGiEDAJhGyAAAphEyAIBphAwAYBohAwCYFuj2AFeivPwCxYXVdXsMAGXAX+wooIrH7TGuaFyRuWBz9ia3R6g0vF6v2yNUGpyLUyydCyLmPkIGADCNkAEATCNkAADTCBkAwDRCBgAwjZABAEwjZAAA0wgZAMA0QgYAMI2QAQBMI2QAANMIGQDANEIGADCNkAEATPM4juO4PcSVJi+/QMHVgtweA0ApuPXcMa/Xq9DQ0ArfryU8WNMFwdWClJqx3+0xAJQCD8OtvFhaBACYRsgAAKYRMgCAaYQMAGAaIQMAmEbIAACmETIAgGmEDABgGiEDAJhGyAAAphEyAIBphAwAYBohAwCYRsgAAKYRMgCAaYQMAGAaIQMAmEbIAACmETIAgGmEDABgGiEDAJhGyAAAphEyAIBphAwAYBohAwCYRsgAAKYRMgCAaSZDlpubqwkTJuiee+5R3759NXjwYK1fv16SlJCQoPT09HLZ74oVK/T666+Xy7YBAJcm0O0BSstxHD366KO64447tHTpUgUFBemrr77S8OHDNW3atHLdd9euXdW1a9dy3QcAoHTMhSwjI0N79+7V+++/L4/HI0lq1qyZfvOb3+jNN98s+dzo0aPVpk0bDRw4UNKJK7VnnnlGf/zjH9WsWTN5vV7l5+frmWee0fvvv69vvvlGDz74oB588EElJiZq7969+uabb3T48GENGjRIw4YN07x585SRkaFXX31V69at06uvvirHcdSwYUNNmzZNNWvWdOWcAMCVzNzS4qZNm9SiRYuSiJ3Upk0bbdq0qeTn/v37a+HChZKkPXv26NChQ2rVqpWkE1d1qamp6t69uyZNmqQZM2Zo1qxZeuONN0q+n52drZkzZ2revHmaM2eONm/eXPJeQUGBnnnmGU2ePFmLFy9WkyZNNH/+/PI8bADAOZgLmcfjkd/vP+P1wsLC0+IWHh6unJwc+Xw+LViwQNHR0SXvdezYUZLUsGFDtWrVStWrV9cvfvEL/fDDDyWf6dOnj2rUqKGrr75akZGRSktLK3lv69atql+/vu644w5J0tNPP62EhIQyP1YAwIWZC1mrVq2UnZ2twsLC017PzMxUixYtSn72eDzq16+fli5dqmXLlp0WsqpVq5b8PTDw7KurAQEBJX8vLi4+7eeqVaueFs0ff/xR33///aUfFADgkpkL2V133aXGjRvrD3/4Q0nMsrOz9Ze//EWPPfbYaZ+NjY1VcnKyGjRooPr165dqP5988okKCgp09OhRrVy5Uu3bty95r1GjRjp48KC2bdsmSXr77bc1e/bsn3lkAIBLYe5mD0maMWOGXnvtNfXp00cBAQGqVauWpk6dqvDwcM2YMaPkcw0aNFCDBg0UExNT6n1Uq1ZNgwcP1rFjx/TII4+ocePGysrKKnlv6tSp+t3vfqfCwkLddNNNmjJlSpkdHwDg4nkcx3HcHqI8OI6jnJwcJSQkaMmSJQoKCrro7yYmJkqSHn/88fIaT6kZ+8tt2wDKXlxYXVf26/V6FRoa6sq+rTC3tHixli9frujoaI0aNapUEQMA2HLZXpFVdlyRAbZwRVZ5XbZXZACAKwMhAwCYRsgAAKYRMgCAaYQMAGAaIQMAmEbIAACmETIAgGmEDABgGiEDAJhGyAAAphEyAIBphAwAYBohAwCYRsgAAKYRMgCAaYQMAGAaIQMAmEbIAACmETIAgGmEDABgGiEDAJhGyAAAphEyAIBphAwAYBohAwCYFuj2AFeivPwCxYXVdXsMAKXgL3YUUMXj9hg4C67IXLA5e5PbI1QaXq/X7REqDc7FKZXxXBCxyouQAQBMI2QAANMIGQDANEIGADCNkAEATCNkAADTCBkAwDRCBgAwjZABAEwjZAAA0wgZAMA0QgYAMI2QAQBMI2QAANM8juM4bg9xpcnLL1BwtSC3xwBwkdx8FpnX61VoaKgr+7aCB2u6ILhakFIz9rs9BoCLxINwKzeWFgEAphEyAIBphAwAYBohAwCYRsgAAKYRMgCAaYQMAGAaIQMAmEbIAACmETIAgGmEDABgGiEDAJhGyAAAphEyAIBphAwAYBohAwCYRsgAAKYRMgCAaYQMAGAaIQMAmEbIAACmETIAgGmEDABgGiEDAJhGyAAAphEyAIBphAwAYFq5hMzn86lp06Zau3btaa9HRkbK5/Od8dnIyMgzttG0adPz7iM9PV0JCQmSpISEBKWnp//MqS/d2Y4LAFAxyu2KrGrVqnrhhRd07Nix8toFAADlF7J69eqpbdu2mjx58s/aTnFxsSZNmqTevXurT58+SkpKOudnR48erZSUlJKfExISlJSUpKeeekqStGPHDjVt2lQHDhyQJD300EPKysrSjh07lJCQoKioKA0aNEhZWVmSpAMHDuiRRx5RVFSUYmJitHr1aknSkSNH9PDDDysqKkpPPfWU8vPzf9YxAgAuXWB5bnzs2LGKiorS2rVr1a5du3N+LicnR9HR0Wd9b/bs2fruu++0aNEiFRQUKCEhQU2aNFH16tXP+Gz//v2VmJiogQMHas+ePTp06JAGDx6snj17ynEcpaWlqU6dOsrIyFBkZKR27NihX/7ylxowYICGDx+ubt26KTMzU08++aSWL1+uiRMnKiIiQkOHDtXu3bt17733asGCBXrzzTfVrFkzvfXWW9qwYYOWLVtWZucMAFA65XqzR82aNTVx4sQLLjHWq1dPCxcuPO3PSenp6YqJiVFAQICqV6+uqKgorV+//qzbCQ8PV05Ojnw+nxYsWKDo6GjVrFlTjRo10tatW5WWlqYhQ4Zow4YNSk9PV0REhI4fP65du3apW7dukqTWrVurVq1a2r59u9LS0hQXFydJuvHGG9WqVSt9+eWXysjIUK9evSRJbdq00Y033lhWpwwAUErlftdi+/btf9YSY3Fx8Wk/O44jv99/1s96PB7169dPS5cu1bJly0qu8jp37qy1a9dq+/btGjhwoDZu3KjVq1erS5cuchznjO2c3Mf/fe/k6x6P57T3AgICLunYAAA/X4Xcfj927FitWbNGOTk5pf5uRESEFixYIL/fr59++kmLFy9WeHj4OT8fGxur5ORkNWjQQPXr15ckderUScnJyWrcuLFCQkJUtWpVrVy5Um3btlXNmjV1ww036N///rckKTMzUwcOHNBtt92miIgIpaamSpJ2796tL774Qq1bt9bdd99dctWYlZWlXbt2lfq4AABlo0JCdnKJsbCwsNTfHTRokK6//npFR0erX79+6tKli+65555zfr5BgwZq0KCBYmJiSl679dZb5TiOwsLCJElhYWFq1KiRatSoIUmaOnWq/vGPfygqKkovv/yyEhMTFRQUpOeff15paWmKiorSY489pkmTJqlevXp64okntHv3bvXu3VtvvfUWS4sA4CKPc7a1NaMcx1FOTo4SEhK0ZMkSBQUFuT3SOaVm7Hd7BAAXKS6srmv79nq9Cg0NdW3/FlxW/7PH8uXLFR0drVGjRlXqiAEAyk653n5f0Xr06KEePXq4PQYAoAJdVldkAIArDyEDAJhGyAAAphEyAIBphAwAYBohAwCYRsgAAKYRMgCAaYQMAGAaIQMAmEbIAACmETIAgGmEDABgGiEDAJhGyAAAphEyAIBphAwAYBohAwCYRsgAAKYRMgCAaYQMAGAaIQMAmEbIAACmETIAgGmEDABgWqDbA1yJ8vILFBdW1+0xAFwkf7GjgCoet8fAOXBF5oLN2ZvcHqHS8Hq9bo9QaXAuTqls54KIVW6EDABgGiEDAJhGyAAAphEyAIBphAwAYBohAwCYRsgAAKYRMgCAaYQMAGAaIQMAmEbIAACmETIAgGmEDABgGiEDAJjmcRzHcXuIK01efoGCqwW5PQaAi+D2s8i8Xq9CQ0Nd278FPFjTBcHVgpSasd/tMQBcBB6CW/mxtAgAMI2QAQBMI2QAANMIGQDANEIGADCNkAEATCNkAADTCBkAwDRCBgAwjZABAEwjZAAA0wgZAMA0QgYAMI2QAQBMI2QAANMIGQDANEIGADCNkAEATCNkAADTCBkAwDRCBgAwjZABAEwjZAAA0wgZAMA0QgYAMI2QAQBMI2QAANPMhszn86lp06Zau3btaa9HRkbK5/Nd8nYTEhJ+7mgAgApkNmSSVLVqVb3wwgs6duxYmW0zIyOjzLYFACh/pkNWr149tW3bVpMnTz7jvaSkJMXExKhv376aMmWKHMfRo48+qs8++0ySNH36dA0bNkySlJOToz59+mjSpEmSpAEDBkiSVq5cqejoaEVFRemxxx7TgQMHJJ246vvTn/6kuLg49e7dW9nZ2RVxuACAszAdMkkaO3as1qxZc9oS4+eff67s7GylpqZqwYIF2rdvnxYtWqROnTopLS1NkrRx40Zt375dfr9fn3/+uTp16qRx48ZJkj744AMdPHhQL774ot544w0tXrxYd955p15++eWSfVx77bVKTU1VfHy8/va3v1XsQQMASpgPWc2aNTVx4sTTlhjXr1+vrKwsxcbGKiYmRtnZ2dq2bZs6d+6s9evXl3yuadOm2rx5s1avXq0uXbqctt2srCy1bNlSN9xwgyRp0KBBJRGUpA4dOkiSbrvtNh05cqQiDhUAcBaBbg9QFtq3b3/aEqPf79eQIUM0dOhQSdIPP/yggIAA1ahRQ8XFxfr3v/+tO++8U9ddd53S0tK0efNm/epXvzptm8XFxaf97DiOioqKSn6uVq2aJMnj8ZTnoQEALsD8FdlJJ5cYc3JyFBERoYULFyo3N1dFRUUaMWKEli9fLknq2LGj/vKXvygsLEwRERH6xz/+oVatWikgIECSFBAQoKKiIrVq1UpffvllyR2Qc+bMUXh4uGvHBwA4u8viikw6tcT40EMPqUuXLvrxxx81cOBA+f1+dejQQTExMZKkzp07a+bMmQoNDdVVV12lwsLC05YVu3btqujoaM2bN08vv/yyRo4cqcLCQjVs2FC///3v3To8AMA5eBzHcdwe4kqUmrHf7REAXIS4sLqu7t/r9So0NNTVGSq7y2ZpEQBwZSJkAADTCBkAwDRCBgAwjZABAEwjZAAA0wgZAMA0QgYAMI2QAQBMI2QAANMIGQDANEIGADCNkAEATCNkAADTCBkAwDRCBgAwjZABAEwjZAAA0wgZAMA0QgYAMI2QAQBMI2QAANMIGQDANEIGADCNkAEATCNkAADTCBkAwDRCBgAwLdDtAa5EefkFigur6/YYAC6Cv9hRQBWP22PgPLgic8Hm7E1uj1BpeL1et0eoNDgXp1Smc0HEKj9CBgAwjZABAEwjZAAA0wgZAMA0QgYAMI2QAQBMI2QAANMIGQDANEIGADCNkAEATCNkAADTCBkAwDRCBgAwjZABAEzzOI7juD3ElSYvv0DB1YLcHgO4Yll6xpjX61VoaKjbY1RqPFjTBcHVgpSasd/tMYArFg+2vbywtAgAMI2QAQBMI2QAANMIGQDANEIGADCNkAEATCNkAADTCBkAwDRCBgAwjZABAEwjZAAA0wgZAMA0QgYAMI2QAQBMI2QAANMIGQDANEIGADCNkAEATCNkAADTCBkAwDRCBgAwjZABAEwjZAAA0wgZAMA0QgYAMI2QAQBMI2QAANPMhWzo0KH65JNPSn6ePHmyfvWrX6mgoKDktfbt2+vhhx/Wvn37NG/ePI0dO/ac20tMTFRiYuIZr69YsUKvv/562Q4PAChz5kIWEREhr9db8vO6devUunXrktd27typq666Sm+99Zbq169/yfvp2rWrnnzyyZ89LwCgfJkL2d13363//Oc/kqR9+/YpKChI3bt315o1ayRJGzduVLt27RQZGSmfz3fadydPnqy+ffuqX79+mjFjRsnrWVlZio+PV5cuXUquzv77Si4yMlJPPfWUunfvroMHD2rBggWKiYlRdHS0nnvuOeXn51fEoQMAzsJcyJo3b65du3YpPz9fa9asUbt27dSuXbszQvZ/7dmzR6tXr9aiRYs0e/Zsbdu2rSRABw8e1Pvvv6+5c+fqnXfe0bFjx874fseOHbV8+XIdOnRIKSkpSk5O1sKFC1WnTh2988475XvQAIBzCnR7gNIKCAhQq1attGnTJq1Zs0b33XefbrzxRuXl5eno0aP6z3/+o+eff/6M79WvX1/VqlUrufJ65plnVK1aNUlShw4dFBQUpNq1ayskJERHjx494/utWrWSJKWnp2vnzp0aOHCgJKmwsFDNmjUrxyMGAJyPuZBJJ35P9sUXXygrK0tTp06VdGLJccWKFQoJCVHNmjXP+E5gYKA++OADZWRkaPXq1YqPj9c//vGPkvdO8ng8chznjO+fjJ7f71fPnj01btw4SVJubq78fn+ZHyMA4OKYW1qUTkRr4cKFatKkSUmE2rVrp5kzZ551WVGSvvrqK91///1q06aNxowZo1tvvVU7duwo9b7Dw8P18ccf6+DBg3IcR+PHj9d77733s44HAHDpTIasSZMmOnLkiNq3b1/yWkREhLZv3662bdue9TvNmjVT69at1adPH8XExKhx48bq2LFjqfd9++23a+TIkRoyZIh69+6t4uJiDR8+/JKPBQDw83ics62jodylZux3ewTgihUXVtftES6a1+tVaGio22NUaiavyAAAOImQAQBMI2QAANMIGQDANEIGADCNkAEATCNkAADTCBkAwDRCBgAwjZABAEwjZAAA00w+xgUALmeFhYXy+XzKy8tTYGCgtmzZ4vZIFSY4OFg33HCDqlatetHfIWQAUMn4fD5dffXVuuWWW3T8+HHVqFHD7ZEqhOM4OnjwoHw+nxo1anTR32NpEQAqmby8PNWpU0cej8ftUSqUx+NRnTp1lJeXV6rvETIAqISutIiddCnHTcgAAKYRMgCo5PzF5fP844vZ7oQJExQdHa1evXqpRYsWio6OVnR0tObOnXvWz+/cuVPjxo077zZ37type+6555JmPhtu9gCASi6giqdcnip/MU/KfumllySduAHlgQce0MKFC8/7+T179sjn85XJfBeLKzIAQKnl5uZq1KhR6tOnj6KiorRo0SJJ0qRJk/Tll19q0qRJKiws1HPPPaeBAwcqMjJSI0eOVH5+fpnPQsgAAKX25z//WXXr1tWSJUv07rvv6k9/+pO2bdumcePGqVWrVho3bpy8Xq+uuuoqpaSk6JNPPtHBgwf1+eefl/ksLC0CAEotLS1Nf/zjHyVJderUUZcuXZSenn7av/+KiIhQ7dq1NWvWLG3fvl27d+/W8ePHy3wWrsgAAKVWXFx82s+O48jv95/22scff6zf/e53ql69umJjY3XnnXfKccr+xhVCBgAotYiICKWmpkqSDh06pE8//VRhYWEKCAgoCdratWvVu3dvxcbGqmbNmtqwYcMZASwLLC0CQCXnL3Yu6g7DS9luQJVL+4fXTzzxhMaPH6+oqCj5/X6NGDFCt99+uw4dOqRDhw5p7NixGjJkiEaPHq1FixapatWqCg0Nlc/n05133lmmx+FxyuM6DxdUHrfSArg45RGFsrRlyxbdcccdkk7cHXil/F+LJ/338V8MlhYBAKYRMgCAafyOzAV5+QWVfmkDuJz9nN8NofLhiswFm7M3uT1CpeH1et0eodLgXJxS3ufCQsSu1NsXLuW4CRkAVDLBwcE6ePDgFRezkw/WDA4OLtX3WFoEgErmhhtukM/n0/79+1VQUKCgoCC3R6owwcHBuuGGG0r1HUIGAJVM1apVS/6rJ6/Xq1atWrk8UeXG0iIAwDRCBgAwjZABAEzjv6gCAJjGFRkAwDRCBgAwjZABAEwjZAAA0wgZAMA0QgYAMI2QAQBMI2QAANMIGQDANEJWgRYvXqxevXqpW7dumjVrltvjlLljx46pT58+8vl8kqR169YpKipK3bp102uvvVbyuS1btig2Nlbdu3fX888/r6KiIknS3r17dd9996lHjx76zW9+o9zcXEnSDz/8oOHDh6tnz5667777tH///oo/uFKYMWOGevfurd69e2vKlCmSrtxz8frrr6tXr17q3bu3Zs6cKenKPRcnTZ48WWPHjpVUdsdcUFCg0aNHq2fPnoqJidE333zjzsG5xUGF+P77750uXbo4hw8fdnJzc52oqCjn66+/dnusMpOZmen06dPHad68ubN7927np59+cjp16uTs2rXLKSwsdP73f//XWbVqleM4jtO7d2/nP//5j+M4jvPss886s2bNchzHcYYPH+4sWbLEcRzHmTFjhjNlyhTHcRxnwoQJzt/+9jfHcRxn/vz5zpNPPlnRh3fR1q5d6wwaNMjJz893CgoKnAceeMBZvHjxFXku0tPTnfj4eKewsND56aefnC5dujhbtmy5Is/FSevWrXPCw8OdMWPGOI5Tdsf89ttvOy+88ILjOI6TkZHhDBgwoOIOqhLgiqyCrFu3ThEREbr22mt11VVXqXv37vroo4/cHqvMpKSk6KWXXlK9evUkSVlZWbr55pt14403KjAwUFFRUfroo4+0Z88e5eXlqXXr1pKk2NhYffTRRyosLNSGDRvUvXv3016XpFWrVikqKkqS1KdPH61evVqFhYUuHOWF1a1bV2PHjlVQ0P/X3v2FNNXHcRx/z835J1cSObVMizIQqS60QDEtCS/SygsvvJGwCIJyEmWoqYU4DJKkAimIAoluMnFoKonURWSJRhcmUVgzLfNvs6bp9OhzEY3syefpoeWebd/X3fl5zuH3+XLc153N39Hi7e3Nhg0bMJvNHlmL7du3U11djUajYXR0FEVR+PTpk0fWAsBisVBZWcmRI0cAHJr5wYMH7Nu3D4Bt27YxNjbG+/fvlzqi00gjWyJDQ0MEBQXZt/V6PYODg06ckWMZjUZiY2Pt24vl/XE8KCiIwcFBPn78SEBAABqNZsH4j+fSaDQEBAQwNja2FLH+s8jISPsLk9lspqmpCZVK5ZG1gK8PiLx06RKpqanExcV57HUBUFJSwvHjx1m+fDnw99+R38n8s3N9+PBhqaI5nTSyJTI3N4dKpbJvz8/PL9h2N4vlXWz8Z/VYrD7z8/N4ef2/L91Xr15x8OBBTp06xdq1az26FgaDgba2NgYGBjCbzR5Zi9u3bxMaGkpcXJx9zJGZfzzm/1yLP0Hj7Al4ipCQEDo6Ouzbw8PD9ttw7igkJGTBh+/f8v44PjIygl6vZ+XKlXz+/BlFUVCr1Qvqo9frGRkZISQkhNnZWSYmJggMDFzyTL+qs7MTg8FAYWEhqamptLe3e2Qtenp6sNlsREVF4efnR0pKCs3NzajVavs+nlKLxsZGhoeH2b9/P+Pj40xOTqJSqRyWOTg4mKGhIcLDwxecy1N4Tst2svj4eNra2hgbG+PLly/cu3ePxMREZ0/rj9m6dStv3ryht7cXRVFoaGggMTGRNWvW4OPjQ2dnJwAmk4nExES8vb2JjY2lsbERgLq6Ont9kpKSqKurA76+IMTGxuLt7e2cYP9iYGCAo0ePUlFRQWpqKuC5tejv76eoqAibzYbNZqO1tZXMzEyPrMWNGzdoaGjAZDJhMBhITk6mvLzcYZmTkpIwmUwAdHR04OPjw+rVq52Q1DnkwZpLqL6+nqtXrzIzM0NGRgaHDx929pQcLjk5merqasLCwmhra6O8vJzp6WmSkpIoKChApVLx4sULioqKsFqtREdHU15ejlar5d27d+Tn5zM6OkpoaCgXLlxgxYoVWCwW8vPz6evrQ6fTUVFRQVhYmLOj/lRZWRl37tyx/2UMkJmZybp16zyuFgCXL1+mqakJtVpNSkoKOTk5HnldfK+2tpb29nbOnTvnsMzT09OUlJTQ1dWFVqulrKyM6OhoZ0ddMtLIhBBCuDS5tSiEEMKlSSMTQgjh0qSRCSGEcGnSyIQQQrg0aWRCCCFcmvxDtBBuQlEUqqurqa+vR1EUZmZm2LVrF7m5uWi12gX7Xrx4kYiICNLT0500WyEcR75+L4SbKC4uZnx8HKPRiE6nY3JykpMnT7Js2TLOnz/v7OkJ8cdIIxPCDfT395OWlsbDhw8JCAiwjw8PD/P06VPu37+PxWKhr6+PnTt3Mjo6SmRkJIcOHWLz5s1kZ2fz6NEjJicnOXbsGM3Nzbx8+RK9Xs+VK1fw9/enp6cHo9GIxWJBURSysrLIyMhgYmKCgoICent78fLyIjo6mtLSUo9a6084l1xpQriB58+fs3HjMCyzGQAAAe9JREFUxgVNDL6ugv7tcSBTU1PcvXuXvLy8BfvYbDZWrVpFTU0N6enpFBUVcfr0aRobG7FarbS2tjI7O4vBYODEiRPU1tZy8+ZNrl+/zrNnz2hpaWFiYgKTyURNTQ0AfX19SxNcCOQzMiHcgpeXF3Nzc/+4T0xMzKI/+9bswsPD2bRpE8HBwQCEhYUxPj6O2Wzm7du3FBYW2o+Zmpqiu7ubHTt2UFlZSVZWFvHx8Rw4cICIiAgHpBLi10gjE8INbNmyhdevX2O1Whe8KxscHKS4uBh/f3/8/f0XPf77xXZ/tvCuoijodDr7wrTwdYV1nU6Hj48PLS0tPHnyhMePH5OdnU1paSnJyckOSifEP5Nbi0K4geDgYPbu3UthYSFWqxUAq9XK2bNnCQwMxNfX97fOv379enx9fe2NbGBggLS0NLq6urh16xYFBQUkJCSQl5dHQkIC3d3dv51JiF8l78iEcBNnzpyhqqqKzMxM1Go1NpuN3bt3k5OTQ0lJyW+dW6vVUlVVhdFo5Nq1a8zOzpKbm0tMTAxRUVG0t7ezZ88e/Pz8CA0NJSsry0GphPh38q1FIYQQLk1uLQohhHBp0siEEEK4NGlkQgghXJo0MiGEEC5NGpkQQgiXJo1MCCGES5NGJoQQwqVJIxNCCOHS/gINJBkQ7/sQbwAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.set(style=\"whitegrid\")\n", + "\n", + "# Initialize the matplotlib figure\n", + "f, ax = plt.subplots(figsize=(6, 15))\n", + "\n", + "\n", + "# Plot the total crashes\n", + "sns.set_color_codes(\"pastel\")\n", + "sns.barplot(x=\"counts\", y=\"AREA NAME\", data=crimes_count1.iloc[:10, :],\n", + " label=\"Total\", color=\"b\")\n", + "\n", + "ax.legend(ncol=2, loc=\"lower right\", frameon=True)\n", + "ax.set(ylabel=\"Type\",\n", + " xlabel=\"Crimes\")\n", + "sns.despine(left=True, bottom=True)\n", + "\n", + "# Add a legend and informative axis label\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 67, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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