From 2e51c6d3cbf5fc34612077f27a906acdc7f96723 Mon Sep 17 00:00:00 2001
From: BBarr-PDAP <barrbr3891@gmail.com>
Date: Tue, 12 Nov 2024 15:12:55 -0500
Subject: [PATCH 1/3] 
 https://github.com/Police-Data-Accessibility-Project/caasi-help-desk/issues/47

Here is a rough draft for the arrest data analysis. There are four graphs so far: line graph on arrest trends over time, arrest rate by zone, arrest rate for race by year, and arrest rate for race by zone.
---
 ...all Arrest Data for Allegheny County.ipynb | 744 ++++++++++++++++++
 1 file changed, 744 insertions(+)
 create mode 100644 Arrest_Records/2024 Fall Arrest Data for Allegheny County.ipynb

diff --git a/Arrest_Records/2024 Fall Arrest Data for Allegheny County.ipynb b/Arrest_Records/2024 Fall Arrest Data for Allegheny County.ipynb
new file mode 100644
index 0000000..73dc48d
--- /dev/null
+++ b/Arrest_Records/2024 Fall Arrest Data for Allegheny County.ipynb	
@@ -0,0 +1,744 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "08864010-df1d-4598-b965-26de065aae59",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Import essential libraries\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import seaborn as sns\n",
+    "from matplotlib import pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "1787f943-ed6d-4f78-bd2b-ffecc8785eba",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Import arrest data\n",
+    "arrest_df = pd.read_csv(r\"C:\\Users\\barrb\\Downloads\\e03a89dd-134a-4ee8-a2bd-62c40aeebc6f (1).csv\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "2348fbf6-f99c-433c-96bc-d0e3ee09c102",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Reduce columns to only necessary ones\n",
+    "arrest_columns = ['AGE', 'GENDER', 'RACE','OFFENSES', 'ARRESTTIME','INCIDENTZONE','INCIDENTNEIGHBORHOOD','X', 'Y']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "7f5a6779-3418-4f78-a977-198d61c25f79",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Create new dataframe to reference new columns\n",
+    "arrest_pitt_df = arrest_df[arrest_columns]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "3b337f2c-aa6f-4f8c-a9af-79ad6e23b06a",
+   "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>AGE</th>\n",
+       "      <th>GENDER</th>\n",
+       "      <th>RACE</th>\n",
+       "      <th>OFFENSES</th>\n",
+       "      <th>ARRESTTIME</th>\n",
+       "      <th>INCIDENTZONE</th>\n",
+       "      <th>INCIDENTNEIGHBORHOOD</th>\n",
+       "      <th>X</th>\n",
+       "      <th>Y</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>42.0</td>\n",
+       "      <td>F</td>\n",
+       "      <td>B</td>\n",
+       "      <td>3929 Retail Theft.</td>\n",
+       "      <td>2016-08-24T12:20:00</td>\n",
+       "      <td>5</td>\n",
+       "      <td>Bloomfield</td>\n",
+       "      <td>-79.949277</td>\n",
+       "      <td>40.452551</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>31.0</td>\n",
+       "      <td>M</td>\n",
+       "      <td>W</td>\n",
+       "      <td>13(a)(16) Possession of Controlled Substance</td>\n",
+       "      <td>2016-08-03T14:55:00</td>\n",
+       "      <td>OSC</td>\n",
+       "      <td>Outside City</td>\n",
+       "      <td>-80.088018</td>\n",
+       "      <td>40.440136</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>63.0</td>\n",
+       "      <td>F</td>\n",
+       "      <td>B</td>\n",
+       "      <td>3929 Retail Theft.</td>\n",
+       "      <td>2016-08-03T16:45:00</td>\n",
+       "      <td>5</td>\n",
+       "      <td>Westwood</td>\n",
+       "      <td>-79.891803</td>\n",
+       "      <td>40.486625</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>25.0</td>\n",
+       "      <td>F</td>\n",
+       "      <td>W</td>\n",
+       "      <td>5503 Disorderly Conduct. / 5505 Public Drunken...</td>\n",
+       "      <td>2016-08-05T02:36:00</td>\n",
+       "      <td>1</td>\n",
+       "      <td>East Allegheny</td>\n",
+       "      <td>-80.001939</td>\n",
+       "      <td>40.454080</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>25.0</td>\n",
+       "      <td>M</td>\n",
+       "      <td>B</td>\n",
+       "      <td>2702 Aggravated Assault. / 2705 Recklessy Enda...</td>\n",
+       "      <td>2016-08-06T02:00:00</td>\n",
+       "      <td>5</td>\n",
+       "      <td>Crafton Heights</td>\n",
+       "      <td>-80.052204</td>\n",
+       "      <td>40.445900</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>66478</th>\n",
+       "      <td>40.0</td>\n",
+       "      <td>M</td>\n",
+       "      <td>W</td>\n",
+       "      <td>3304 Criminal Mischief. / 3502 Burglary. / 392...</td>\n",
+       "      <td>2023-11-05T16:19:00</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Manchester</td>\n",
+       "      <td>-80.026065</td>\n",
+       "      <td>40.453105</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>66479</th>\n",
+       "      <td>44.0</td>\n",
+       "      <td>F</td>\n",
+       "      <td>B</td>\n",
+       "      <td>5104 Resisting Arrest or Other Law Enforcement...</td>\n",
+       "      <td>2023-11-11T03:41:00</td>\n",
+       "      <td>6</td>\n",
+       "      <td>Brookline</td>\n",
+       "      <td>-80.019190</td>\n",
+       "      <td>40.392879</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>66480</th>\n",
+       "      <td>18.0</td>\n",
+       "      <td>M</td>\n",
+       "      <td>B</td>\n",
+       "      <td>2702 Aggravated Assault. / 2705 Recklessy Enda...</td>\n",
+       "      <td>2023-11-04T00:49:00</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Homewood North</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>66481</th>\n",
+       "      <td>32.0</td>\n",
+       "      <td>M</td>\n",
+       "      <td>B</td>\n",
+       "      <td>9501 Bench Warrant</td>\n",
+       "      <td>2023-09-14T23:44:00</td>\n",
+       "      <td>OSC</td>\n",
+       "      <td>Outside City</td>\n",
+       "      <td>-80.255272</td>\n",
+       "      <td>40.496059</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>66482</th>\n",
+       "      <td>58.0</td>\n",
+       "      <td>F</td>\n",
+       "      <td>B</td>\n",
+       "      <td>2701 Simple Assault. / 2706 Terroristic Threat...</td>\n",
+       "      <td>2022-02-19T20:40:00</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Carrick</td>\n",
+       "      <td>-79.986524</td>\n",
+       "      <td>40.393200</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>66483 rows × 9 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        AGE GENDER RACE                                           OFFENSES  \\\n",
+       "0      42.0      F    B                                 3929 Retail Theft.   \n",
+       "1      31.0      M    W       13(a)(16) Possession of Controlled Substance   \n",
+       "2      63.0      F    B                                 3929 Retail Theft.   \n",
+       "3      25.0      F    W  5503 Disorderly Conduct. / 5505 Public Drunken...   \n",
+       "4      25.0      M    B  2702 Aggravated Assault. / 2705 Recklessy Enda...   \n",
+       "...     ...    ...  ...                                                ...   \n",
+       "66478  40.0      M    W  3304 Criminal Mischief. / 3502 Burglary. / 392...   \n",
+       "66479  44.0      F    B  5104 Resisting Arrest or Other Law Enforcement...   \n",
+       "66480  18.0      M    B  2702 Aggravated Assault. / 2705 Recklessy Enda...   \n",
+       "66481  32.0      M    B                                 9501 Bench Warrant   \n",
+       "66482  58.0      F    B  2701 Simple Assault. / 2706 Terroristic Threat...   \n",
+       "\n",
+       "                ARRESTTIME INCIDENTZONE INCIDENTNEIGHBORHOOD          X  \\\n",
+       "0      2016-08-24T12:20:00            5           Bloomfield -79.949277   \n",
+       "1      2016-08-03T14:55:00          OSC         Outside City -80.088018   \n",
+       "2      2016-08-03T16:45:00            5             Westwood -79.891803   \n",
+       "3      2016-08-05T02:36:00            1       East Allegheny -80.001939   \n",
+       "4      2016-08-06T02:00:00            5      Crafton Heights -80.052204   \n",
+       "...                    ...          ...                  ...        ...   \n",
+       "66478  2023-11-05T16:19:00            1           Manchester -80.026065   \n",
+       "66479  2023-11-11T03:41:00            6            Brookline -80.019190   \n",
+       "66480  2023-11-04T00:49:00            3       Homewood North        NaN   \n",
+       "66481  2023-09-14T23:44:00          OSC         Outside City -80.255272   \n",
+       "66482  2022-02-19T20:40:00            3              Carrick -79.986524   \n",
+       "\n",
+       "               Y  \n",
+       "0      40.452551  \n",
+       "1      40.440136  \n",
+       "2      40.486625  \n",
+       "3      40.454080  \n",
+       "4      40.445900  \n",
+       "...          ...  \n",
+       "66478  40.453105  \n",
+       "66479  40.392879  \n",
+       "66480        NaN  \n",
+       "66481  40.496059  \n",
+       "66482  40.393200  \n",
+       "\n",
+       "[66483 rows x 9 columns]"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "arrest_pitt_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "55ef7963-406c-4c9d-a985-887c872aada5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Change DATE to datetime in order to make a line graph of arrests by year"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "a92bf740-d2f0-4ada-878b-728ea201627d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "arrest_pitt_df = arrest_pitt_df.rename(columns={\n",
+    "    'ARRESTTIME': 'DATE',})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "9d9949c1-ec5c-410d-ad9b-a353750f6015",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "arrest_pitt_df['DATE'] = pd.to_datetime(arrest_pitt_df['DATE'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "31020585-d428-4d11-bbad-7220725a6498",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "arrest_pitt_df['YEAR'] = [x.year for x in arrest_pitt_df['DATE']]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "id": "e69fe2fa-a03b-455c-b803-c1b675d5d9ff",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "arrest_pitt_by_year = arrest_pitt_df.loc[(arrest_pitt_df['YEAR'] >= 2017) & (arrest_pitt_df['YEAR'] <= 2023)].\\\n",
+    "                    groupby(['YEAR']).\\\n",
+    "                    aggregate(Offenses = ('OFFENSES','count')).\\\n",
+    "                    reset_index().\\\n",
+    "                    set_index('YEAR').\\\n",
+    "                    copy()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "id": "898d02bf-8335-44d2-bb28-b4b24dcdee3d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(12,6))\n",
+    "sns.lineplot(data=arrest_pitt_by_year, x=\"YEAR\", y=\"Offenses\")\n",
+    "plt.title('Arrests in Pittsburgh by Year')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "78169dc2-0956-40b9-8d5e-13fd115da48e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Plot a bar graph of the total numbers of arrests by zone"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "2d26cd4d-4647-44cb-a0fe-279f7d73300a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "arrests_by_zone = arrest_pitt_df.groupby(['INCIDENTZONE']).\\\n",
+    "aggregate(arrest_count_zone = ('OFFENSES', 'count')).\\\n",
+    "reset_index()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "id": "b33bfede-7244-43bd-bc8f-3e9ea20df70c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(8,4))\n",
+    "plt.bar(arrests_by_zone['INCIDENTZONE'],\n",
+    "        arrests_by_zone['arrest_count_zone'],\n",
+    "        0.8)\n",
+    "plt.title('Pittsburgh Arrests by Zone')\n",
+    "plt.ylabel('Number of Arrests')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 80,
+   "id": "8ce43e34-33e6-4ea6-965f-aac43801ad5c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Create graph of portion of arrest by race for each year"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 84,
+   "id": "3ea58496-6e7f-41a0-a85c-b4050c855822",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "white_arrest = arrest_pitt_df[arrest_pitt_df['RACE']== \"W\"]\n",
+    "black_arrest = arrest_pitt_df[arrest_pitt_df['RACE']== \"B\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 85,
+   "id": "37d1e34a-14f1-433a-b6ce-aef190fc3a11",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "white_arrest_count = white_arrest.groupby(['YEAR', 'OFFENSES']).size().reset_index(name='count')\n",
+    "black_arrest_count = black_arrest.groupby(['YEAR', 'OFFENSES']).size().reset_index(name='count')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 86,
+   "id": "2b7e28ce-c956-4a27-9e7c-52b4037402d1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "white_arrest_count_year = white_arrest[white_arrest['YEAR']>=2016]\n",
+    "black_arrest_count_year = black_arrest[black_arrest['YEAR']>=2016]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 132,
+   "id": "df3fb14a-082c-4fea-9546-2d2123fea55b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "x = [2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023]\n",
+    "y1 = white_arrest_count_year.groupby(['YEAR']).size()\n",
+    "y2 = black_arrest_count_year.groupby(['YEAR']).size()\n",
+    "\n",
+    "plt.bar(x, y1,color='green')\n",
+    "plt.bar(x, y2, bottom=y1, color='blue')\n",
+    "plt.legend([\"White Arrests\", \"Black Arrests\"])\n",
+    "plt.title('Total Arrests by Year in Pittsburgh')\n",
+    "plt.ylabel('Number of Arrests')\n",
+    "plt.xlabel('Year')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 96,
+   "id": "53897c62-2c04-4aaa-aab7-3c2bf56759b9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Create a pivot table so we can turn this into a stacked bar chart\n",
+    "arrest_zone_race_BHW = arrest_pitt_df.loc[arrest_pitt_df['RACE'].isin(['B','H','W'])].\\\n",
+    "  groupby(['INCIDENTZONE','RACE']).\\\n",
+    "  aggregate(arrest_count_zone_race =('OFFENSES', 'count')).\\\n",
+    "  reset_index().\\\n",
+    "  copy()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 99,
+   "id": "2a413579-9624-4817-9212-7849d362e518",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "arrest_zone_race_pivot = arrest_zone_race_BHW.pivot(index=['INCIDENTZONE'],\n",
+    "                                               columns ='RACE',values='arrest_count_zone_race').\\\n",
+    "copy()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 120,
+   "id": "0794fe8a-3aa3-4784-8308-bd645bfc6c77",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "arrest_by_zone_BHW = arrest_pitt_df.loc[arrest_pitt_df['RACE'].isin(['B','H','W'])].\\\n",
+    "  groupby(['INCIDENTZONE']).\\\n",
+    "  aggregate(arrest_count_zone = ('OFFENSES', 'count')).\\\n",
+    "  reset_index().\\\n",
+    "  copy()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 121,
+   "id": "5d6f53e5-5320-45c5-9329-9b74d2107e4d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "arrest_zone_race_pvt = arrest_zone_race_BHW.pivot(index=['INCIDENTZONE'], columns='RACE', values='arrest_count_zone_race').\\\n",
+    "reset_index().\\\n",
+    "copy()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 123,
+   "id": "6e6e0108-1f5f-4127-9386-0a5009fd2fd7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "arrest_zone_race_with_totals = arrest_zone_race_pvt.merge(arrest_by_zone_BHW, how='left', on=['INCIDENTZONE'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 124,
+   "id": "8cbce3a2-a9b1-4b0b-b074-005916fc4d94",
+   "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>INCIDENTZONE</th>\n",
+       "      <th>B</th>\n",
+       "      <th>H</th>\n",
+       "      <th>W</th>\n",
+       "      <th>arrest_count_zone</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>9012</td>\n",
+       "      <td>118</td>\n",
+       "      <td>5040</td>\n",
+       "      <td>14170</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>7235</td>\n",
+       "      <td>85</td>\n",
+       "      <td>3390</td>\n",
+       "      <td>10710</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>6298</td>\n",
+       "      <td>209</td>\n",
+       "      <td>6183</td>\n",
+       "      <td>12690</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>4102</td>\n",
+       "      <td>79</td>\n",
+       "      <td>2763</td>\n",
+       "      <td>6944</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>10817</td>\n",
+       "      <td>79</td>\n",
+       "      <td>2368</td>\n",
+       "      <td>13264</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>6</td>\n",
+       "      <td>3472</td>\n",
+       "      <td>156</td>\n",
+       "      <td>3057</td>\n",
+       "      <td>6685</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>OSC</td>\n",
+       "      <td>328</td>\n",
+       "      <td>2</td>\n",
+       "      <td>115</td>\n",
+       "      <td>445</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  INCIDENTZONE      B    H     W  arrest_count_zone\n",
+       "0            1   9012  118  5040              14170\n",
+       "1            2   7235   85  3390              10710\n",
+       "2            3   6298  209  6183              12690\n",
+       "3            4   4102   79  2763               6944\n",
+       "4            5  10817   79  2368              13264\n",
+       "5            6   3472  156  3057               6685\n",
+       "6          OSC    328    2   115                445"
+      ]
+     },
+     "execution_count": 124,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "arrest_zone_race_with_totals"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 126,
+   "id": "1860409a-a856-44a4-9cc0-44ba7fc94652",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Create portions for each race\n",
+    "arrest_zone_race_with_totals['Black']= arrest_zone_race_with_totals['B']/arrest_zone_race_with_totals['arrest_count_zone']\n",
+    "arrest_zone_race_with_totals['Hispanic']= arrest_zone_race_with_totals['H']/arrest_zone_race_with_totals['arrest_count_zone']\n",
+    "arrest_zone_race_with_totals['White']= arrest_zone_race_with_totals['W']/arrest_zone_race_with_totals['arrest_count_zone']\n",
+    "arrest_zone_race_with_totals['grand_total'] = arrest_zone_race_with_totals['B'] + arrest_zone_race_with_totals['H'] + arrest_zone_race_with_totals['W']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 129,
+   "id": "384c715c-ff92-426a-87da-2ed46e05646f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "arrest_proportions_df = arrest_zone_race_with_totals.loc[:,['INCIDENTZONE','Black','Hispanic','White']].\\\n",
+    "copy()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 138,
+   "id": "213a9beb-3d1e-4e6f-b7f8-4c9ce7c59cc7",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#Create stacked bar graph for arrests by zone and race\n",
+    "color = ['blue', 'Firebrick', 'green']\n",
+    "arrest_proportions_df.\\\n",
+    "plot(x='INCIDENTZONE',kind='bar', color=color, stacked=True)\n",
+    "plt.title('Proportion of Arrests by Race for each Police Zone')\n",
+    "plt.xlabel('Zone')\n",
+    "plt.ylabel('Proportion')\n",
+    "plt.legend(bbox_to_anchor=(1,1))\n",
+    "plt.xticks(rotation=0)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "886c6078-84ad-47d0-ad75-87bde27b78cf",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.12.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

From 62df9f98e0d38433568aa1b5fb68ed1b9728989c Mon Sep 17 00:00:00 2001
From: BBarr-PDAP <barrbr3891@gmail.com>
Date: Tue, 19 Nov 2024 17:56:37 -0500
Subject: [PATCH 2/3] 
 https://github.com/Police-Data-Accessibility-Project/caasi-help-desk/issues/48

This file has a line graph of arrests over time (2017-2023), total arrests by zone, arrests by offense type by zone, and a pie chart of portion of arrests by offense type. There is an outstanding graph to create a line graph with each record type over time (if needed).
---
 ...2024 Fall Arrest Data for Pittsburgh.ipynb | 586 ++++++++++++++++++
 1 file changed, 586 insertions(+)
 create mode 100644 Arrest_Records/2024 Fall Arrest Data for Pittsburgh.ipynb

diff --git a/Arrest_Records/2024 Fall Arrest Data for Pittsburgh.ipynb b/Arrest_Records/2024 Fall Arrest Data for Pittsburgh.ipynb
new file mode 100644
index 0000000..65e1d3f
--- /dev/null
+++ b/Arrest_Records/2024 Fall Arrest Data for Pittsburgh.ipynb	
@@ -0,0 +1,586 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "038b1fd8-fab9-4c6e-96ba-55156b931237",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Import essential libraries\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import seaborn as sns\n",
+    "from matplotlib import pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "59f5dd71-ec37-4f63-a4e8-756c63399beb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Import arrest data\n",
+    "arrest_df = pd.read_csv(r\"C:\\Users\\barrb\\Downloads\\e03a89dd-134a-4ee8-a2bd-62c40aeebc6f (1).csv\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "a9707eeb-a4c8-4340-93eb-801c2e702770",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Reduce columns to only necessary ones\n",
+    "arrest_columns = ['AGE', 'GENDER', 'RACE','OFFENSES', 'ARRESTTIME','INCIDENTZONE','INCIDENTNEIGHBORHOOD','X', 'Y']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "16500a8b-dd2a-4dbb-b7df-bda9d7781fa7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Create new dataframe to reference new columns\n",
+    "arrest_pitt_df = arrest_df[arrest_columns]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 82,
+   "id": "6b7ae91e-559a-4b48-9fbf-93b251a423d5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Change DATE to datetime in order to make a line graph of arrests by year\n",
+    "arrest_pitt_df = arrest_pitt_df.rename(columns={\n",
+    "    'ARRESTTIME': 'DATE',})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 83,
+   "id": "7e6ac521-5f5f-44e4-b9e2-c14532cccf23",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "arrest_pitt_df['DATE'] = pd.to_datetime(arrest_pitt_df['DATE'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 84,
+   "id": "d2bc3c78-78e3-47c4-b4ac-9b7aea0393c2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "arrest_pitt_df['YEAR'] = [x.year for x in arrest_pitt_df['DATE']]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 85,
+   "id": "f346ee15-6ded-4b42-ba93-aa370d752f44",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "arrest_pitt_by_year = arrest_pitt_df.loc[(arrest_pitt_df['YEAR'] >= 2017) & (arrest_pitt_df['YEAR'] <= 2023)].\\\n",
+    "                    groupby(['YEAR']).\\\n",
+    "                    aggregate(Offenses = ('OFFENSES','count')).\\\n",
+    "                    reset_index().\\\n",
+    "                    set_index('YEAR').\\\n",
+    "                    copy()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 86,
+   "id": "07383a70-021f-4442-943a-693a693ec8ce",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(12,6))\n",
+    "sns.lineplot(data=arrest_pitt_by_year, x=\"YEAR\", y=\"Offenses\")\n",
+    "plt.title('Arrests in Pittsburgh by Year')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 87,
+   "id": "da9949e8-93e9-4b6b-8180-5aea4ebdf5f2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Plot a bar graph of the total numbers of arrests by zone\n",
+    "arrests_by_zone = arrest_pitt_df.groupby(['INCIDENTZONE']).\\\n",
+    "aggregate(arrest_count_zone = ('OFFENSES', 'count')).\\\n",
+    "reset_index()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 88,
+   "id": "43530fc1-83a0-4691-8632-e6772db4349d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(8,4))\n",
+    "plt.bar(arrests_by_zone['INCIDENTZONE'],\n",
+    "        arrests_by_zone['arrest_count_zone'],\n",
+    "        0.8)\n",
+    "plt.title('Pittsburgh Arrests by Zone')\n",
+    "plt.ylabel('Number of Arrests')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 68,
+   "id": "550121f5-8459-497a-8166-c618540ca02b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Create a condition to filter out only certain type of offense to create new DF\n",
+    "theft_df = arrest_pitt_df['OFFENSES'].str.contains(\"Theft|Robbery\", na=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "5ae9b14e-73c9-4851-9379-62957584f5ab",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Create bar graph on theft by Zone\n",
+    "theft_count_zone = arrest_pitt_df[theft_df].groupby(['INCIDENTZONE']).\\\n",
+    "aggregate(theft_count = ('OFFENSES', 'count')).\\\n",
+    "reset_index()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "id": "c5283c00-1214-4235-8ce1-b21e454a6403",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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5+fnavHmzkpOTNXDgQNWvX9/hs7jUtS799vtY0oN+pc0lfeG1Xrt2bVksFvv/mFy4L6Aq4A4w8Bdx3XXXqVatWtq1a5fatm1b4uv3f64sSVnuyNSqVUu33367RowYoRMnTtifUn/33XfLNCxA+i0gTZ48WUePHtX06dMlSV26dJEkLVy40KHvu+++q7y8PPv6Iunp6dqxY4dD25tvvil/f3+1bt3aoX3x4sUyxtiXf/zxR23cuNH+JHzjxo3VqFEj7dixo9Rz9/s/35bVH/1M6tWrp5EjR6pbt25lnge6aJ7lIm+99ZbOnj1b7Gn/e++9V97e3ho0aJD27NlT5i8oeO211zR79mzdfffd+sc//nHRvl26dNHatWvtgbfI/Pnz5efnV+4pyZxxbVcWF7vDXJa7z1arVZ06ddKUKVMkqdgMD5e61qXfZqb4/vvvlZ+fb287fvy4Nm7cWKZjqF69utq2basVK1Y4fJnN6dOnmdkBVQZ3gIG/iBo1amj69OkaMmSITpw4odtvv10hISE6duyYduzYoWPHjmnWrFkX3UZMTIyWLFmipUuX6oorrpCPj49iYmLUp08fRUdHq23btgoODtaPP/6o559/XlFRUWrUqJHS0tK0f//+MgdgSRo8eLCmTZumZ555RiNGjFC3bt3Uo0cPPfLII8rNzdV1112nb775RhMmTFCrVq0UHx/v8P6IiAj17dtXSUlJCg8P18KFC5WamqopU6bIz8/PoW9WVpZuvfVWDR8+XDk5OZowYYJ8fHyUmJho7/PKK68oLi5OPXr00NChQ1WnTh2dOHFCu3fv1ldffaW33367zMdWpKyfSU5Ojjp37qyBAwfq6quvlr+/v7Zu3aqUlJRS70hfaNmyZfL09FS3bt2Unp6uxx9/XC1atFD//v0d+tWqVUuDBw/WrFmzFBUVVeqYzd/bsmWLRo4cqbCwMA0ePFibN28usV/Dhg0VHBysCRMm6MMPP1Tnzp31xBNPKCAgQIsWLdLKlSs1depU2Wy2Mh1TEWdc25VFw4YN5evrq0WLFqlJkyaqUaOGIiIiFBERoZiYGEnSlClTFBcXJw8PDzVv3lwTJ07UkSNH1KVLF9WtW1cnT57UCy+8IC8vr2LzeJflWo+Pj9crr7yiu+66S8OHD9fx48c1depUhy/suJSnnnpKvXr1Uo8ePTRmzBidO3dOTz/9tGrUqPGHh6MAl5ULH8AD8P+VZRaIC2dsKOnJdmOM2bBhg+nVq5cJCAgwXl5epk6dOqZXr14O7y9tmwcPHjTdu3c3/v7+9qm1jDHm2WefNR07djRBQUHG29vb1KtXzwwbNswcPHjQGGPM//3f/zk8Pf57pU2DZowxK1euNJLMk08+aYwx5syZM+aRRx4xUVFRxsvLy4SHh5t//OMfJjs72+F9UVFRplevXuadd94xzZo1M97e3qZ+/fpm2rRpJZ67BQsWmNGjR5vg4GBjtVrN3/72N7Nt27Zi9ezYscP079/fhISEGC8vLxMWFmZuvPFGh9kqimZ62Lp1a7H3lzQNmjGX/kx+/fVX88ADD5jmzZubmjVrGl9fX9O4cWMzYcIE+4wWpSmazWD79u2mT58+pkaNGsbf39/ceeed5ujRoyW+Z/369UaSmTx58kW3feE+LvX6/bX47bffmj59+hibzWa8vb1NixYtil2rFXFtl+Ris0AcO3bMoW9pn+GFLvY7+3sXzgJhjDGLFy82V199tfHy8jKSzIQJE4wxxuTn55t7773XBAcHG4vFYq/jww8/NHFxcaZOnTrG29vbhISEmJtuusl89tln9m2W91qfN2+eadKkifHx8TFNmzY1S5cuLXUWiN9PLfh7y5cvNzExMfb/JkyePNmMHj3a1K5d26GfJDNixIgynRvgcrEY87u/lQDAH9C0aVPFxcXp2WefdXUpKINx48Zp1qxZOnz4cIkPJwF/RGFhoVq2bKk6depo9erVri4HuCiGQAD403bt2uXqElAGmzdv1vfff6+ZM2fq/vvvJ/ziTxk2bJi6deum8PBwZWZm6uWXX9bu3buLfUMkUBlxBxgA3ITFYpGfn59uuukmzZkzp8xz/wIl6d+/vzZu3Khjx47Jy8tLrVu31mOPPaaePXu6ujTgkgjAAAAAcCtMgwYAAAC3QgAGAACAWyEAAwAAwK0wC0QZnT9/Xj/99JP8/f3L9BWoAAAAuLyMMTp16pQiIiJUrVrp93kJwGX0008/KTIy0tVlAAAA4BIOHz6sunXrlrqeAFxG/v7+kn47oeX5ukgAAABcHrm5uYqMjLTnttIQgMuoaNhDzZo1CcAAAACV2KWGq/IQHAAAANwKARgAAABuhQAMAAAAt0IABgAAgFshAAMAAMCtEIABAADgVlwagJOTk3XNNdfI399fISEhuuWWW7Rnzx6HPsYYJSUlKSIiQr6+voqNjVV6erpDn/z8fI0aNUpBQUGqXr26+vbtqyNHjjj0yc7OVnx8vGw2m2w2m+Lj43Xy5MmKPkQAAABUMi4NwBs2bNCIESO0efNmpaam6uzZs+revbvy8vLsfaZOnapp06ZpxowZ2rp1q8LCwtStWzedOnXK3ichIUHLly/XkiVL9Pnnn+v06dPq3bu3zp07Z+8zcOBApaWlKSUlRSkpKUpLS1N8fPxlPV4AAAC4nsUYY1xdRJFjx44pJCREGzZs0A033CBjjCIiIpSQkKBHHnlE0m93e0NDQzVlyhTdf//9ysnJUXBwsBYsWKABAwZI+t/XFn/00Ufq0aOHdu/eraZNm2rz5s1q166dJGnz5s3q0KGDvvvuOzVu3PiSteXm5spmsyknJ4cvwgAAAKiEyprXKtUY4JycHElSQECAJOnAgQPKzMxU9+7d7X2sVqs6deqkjRs3SpK2b9+uwsJChz4RERGKjo6299m0aZNsNps9/EpS+/btZbPZ7H0ulJ+fr9zcXIcXAAAAqr5KE4CNMRo7dqyuv/56RUdHS5IyMzMlSaGhoQ59Q0ND7esyMzPl7e2t2rVrX7RPSEhIsX2GhITY+1woOTnZPl7YZrMpMjLyzx0gAAAAKoVKE4BHjhypb775RosXLy627sLvczbGXPI7ni/sU1L/i20nMTFROTk59tfhw4fLchgAAACo5DxdXYAkjRo1Su+//74+/fRT1a1b194eFhYm6bc7uOHh4fb2rKws+13hsLAwFRQUKDs72+EucFZWljp27Gjvc/To0WL7PXbsWLG7y0WsVqusVuufPzgAQIWr/+hKV5dQKRyc3MvVJQBVgkvvABtjNHLkSC1btkxr165VgwYNHNY3aNBAYWFhSk1NtbcVFBRow4YN9nDbpk0beXl5OfTJyMjQzp077X06dOignJwcbdmyxd7nyy+/VE5Ojr0PAAAA3INL7wCPGDFCb775pt577z35+/vbx+PabDb5+vrKYrEoISFBkyZNUqNGjdSoUSNNmjRJfn5+GjhwoL3vsGHDNG7cOAUGBiogIEDjx49XTEyMunbtKklq0qSJevbsqeHDh+uVV16RJN13333q3bt3mWaAAAAAwF+HSwPwrFmzJEmxsbEO7XPmzNHQoUMlSQ8//LDOnDmjBx98UNnZ2WrXrp1Wr14tf39/e//nnntOnp6e6t+/v86cOaMuXbpo7ty58vDwsPdZtGiRRo8ebZ8tom/fvpoxY0bFHiAAAAAqnUo1D3BlxjzAAFB5MQb4N4wBhrurkvMAAwAAABWNAAwAAAC3QgAGAACAWyEAAwAAwK0QgAEAAOBWCMAAAABwKwRgAAAAuBUCMAAAANwKARgAAABuhQAMAAAAt0IABgAAgFshAAMAAMCtEIABAADgVgjAAAAAcCsEYAAAALgVAjAAAADcCgEYAAAAboUADAAAALdCAAYAAIBbIQADAADArRCAAQAA4FYIwAAAAHArBGAAAAC4FQIwAAAA3AoBGAAAAG6FAAwAAAC34tIA/Omnn6pPnz6KiIiQxWLRihUrHNZbLJYSX08//bS9T2xsbLH1d9xxh8N2srOzFR8fL5vNJpvNpvj4eJ08efIyHCEAAAAqG5cG4Ly8PLVo0UIzZswocX1GRobD64033pDFYtFtt93m0G/48OEO/V555RWH9QMHDlRaWppSUlKUkpKitLQ0xcfHV9hxAQAAoPLydOXO4+LiFBcXV+r6sLAwh+X33ntPnTt31hVXXOHQ7ufnV6xvkd27dyslJUWbN29Wu3btJEmvvvqqOnTooD179qhx48Z/8igAAABQlVSZMcBHjx7VypUrNWzYsGLrFi1apKCgIDVr1kzjx4/XqVOn7Os2bdokm81mD7+S1L59e9lsNm3cuLHU/eXn5ys3N9fhBQAAgKrPpXeAy2PevHny9/dXv379HNoHDRqkBg0aKCwsTDt37lRiYqJ27Nih1NRUSVJmZqZCQkKKbS8kJESZmZml7i85OVlPPvmkcw8CAAAALldlAvAbb7yhQYMGycfHx6F9+PDh9p+jo6PVqFEjtW3bVl999ZVat24t6beH6S5kjCmxvUhiYqLGjh1rX87NzVVkZOSfPQwAAAC4WJUIwJ999pn27NmjpUuXXrJv69at5eXlpb1796p169YKCwvT0aNHi/U7duyYQkNDS92O1WqV1Wr9U3UDAACg8qkSY4Bff/11tWnTRi1atLhk3/T0dBUWFio8PFyS1KFDB+Xk5GjLli32Pl9++aVycnLUsWPHCqsZAAAAlZNL7wCfPn1a+/btsy8fOHBAaWlpCggIUL169ST9NvTg7bff1rPPPlvs/fv379eiRYt00003KSgoSLt27dK4cePUqlUrXXfddZKkJk2aqGfPnho+fLh9erT77rtPvXv3ZgYIAAAAN+TSO8Dbtm1Tq1at1KpVK0nS2LFj1apVKz3xxBP2PkuWLJExRnfeeWex93t7e+uTTz5Rjx491LhxY40ePVrdu3fXmjVr5OHhYe+3aNEixcTEqHv37urevbuaN2+uBQsWVPwBAgAAoNKxGGOMq4uoCnJzc2Wz2ZSTk6OaNWu6uhwAwO/Uf3Slq0uoFA5O7uXqEgCXKmteqxJjgAEAAABnIQADAADArRCAAQAA4FYIwAAAAHArBGAAAAC4FQIwAAAA3AoBGAAAAG6FAAwAAAC3QgAGAACAWyEAAwAAwK0QgAEAAOBWCMAAAABwKwRgAAAAuBUCMAAAANwKARgAAABuhQAMAAAAt0IABgAAgFshAAMAAMCtEIABAADgVjxdXQBwOdR/dKWrS6gUDk7u5eoSAABwOe4AAwAAwK0QgAEAAOBWCMAAAABwKwRgAAAAuBUCMAAAANwKARgAAABuxaUB+NNPP1WfPn0UEREhi8WiFStWOKwfOnSoLBaLw6t9+/YOffLz8zVq1CgFBQWpevXq6tu3r44cOeLQJzs7W/Hx8bLZbLLZbIqPj9fJkycr+OgAAABQGbk0AOfl5alFixaaMWNGqX169uypjIwM++ujjz5yWJ+QkKDly5dryZIl+vzzz3X69Gn17t1b586ds/cZOHCg0tLSlJKSopSUFKWlpSk+Pr7CjgsAAACVl0u/CCMuLk5xcXEX7WO1WhUWFlbiupycHL3++utasGCBunbtKklauHChIiMjtWbNGvXo0UO7d+9WSkqKNm/erHbt2kmSXn31VXXo0EF79uxR48aNnXtQAAAAqNQq/Rjg9evXKyQkRFdddZWGDx+urKws+7rt27ersLBQ3bt3t7dFREQoOjpaGzdulCRt2rRJNpvNHn4lqX379rLZbPY+JcnPz1dubq7DCwAAAFVfpQ7AcXFxWrRokdauXatnn31WW7du1Y033qj8/HxJUmZmpry9vVW7dm2H94WGhiozM9PeJyQkpNi2Q0JC7H1KkpycbB8zbLPZFBkZ6cQjAwAAgKu4dAjEpQwYMMD+c3R0tNq2bauoqCitXLlS/fr1K/V9xhhZLBb78u9/Lq3PhRITEzV27Fj7cm5uLiEYAADgL6BS3wG+UHh4uKKiorR3715JUlhYmAoKCpSdne3QLysrS6GhofY+R48eLbatY8eO2fuUxGq1qmbNmg4vAAAAVH1VKgAfP35chw8fVnh4uCSpTZs28vLyUmpqqr1PRkaGdu7cqY4dO0qSOnTooJycHG3ZssXe58svv1ROTo69DwAAANyHS4dAnD59Wvv27bMvHzhwQGlpaQoICFBAQICSkpJ02223KTw8XAcPHtRjjz2moKAg3XrrrZIkm82mYcOGady4cQoMDFRAQIDGjx+vmJgY+6wQTZo0Uc+ePTV8+HC98sorkqT77rtPvXv3ZgYIAAAAN+TSALxt2zZ17tzZvlw05nbIkCGaNWuWvv32W82fP18nT55UeHi4OnfurKVLl8rf39/+nueee06enp7q37+/zpw5oy5dumju3Lny8PCw91m0aJFGjx5tny2ib9++F517GAAAAH9dFmOMcXURVUFubq5sNptycnIYD1wF1X90patLqBQOTu71p7fBufyNM84lnIfr8jdcl3B3Zc1rVWoMMAAAAPBnlTsAHz58WEeOHLEvb9myRQkJCZo9e7ZTCwMAAAAqQrkD8MCBA7Vu3TpJv33JRLdu3bRlyxY99thjeuqpp5xeIAAAAOBM5Q7AO3fu1LXXXitJeuutt+xfO/zmm29q7ty5zq4PAAAAcKpyB+DCwkJZrVZJ0po1a9S3b19J0tVXX62MjAznVgcAAAA4WbkDcLNmzfTyyy/rs88+U2pqqnr27ClJ+umnnxQYGOj0AgEAAABnKncAnjJlil555RXFxsbqzjvvVIsWLSRJ77//vn1oBAAAAFBZlfuLMGJjY/Xzzz8rNzdXtWvXtrffd999ql69ulOLc3fMa/kb5rUEAADOVO47wDfeeKNOnTrlEH4lKSAgQAMGDHBaYQAAAEBFKHcAXr9+vQoKCoq1//rrr/rss8+cUhQAAABQUco8BOKbb76x/7xr1y5lZmbal8+dO6eUlBTVqVPHudUBAAAATlbmANyyZUtZLBZZLBbdeOONxdb7+vpq+vTpTi0OAAAAcLYyBeDc3Fz98MMPkqQrrrhCW7ZsUXBwsH29t7e3QkJC5OHhUTFVAgAAAE5SpgBcu3ZtZWRkKCQkRJ06ddKVV16pWrVqVXBpAAAAgPOV6SG4GjVq6Pjx45KkTz/9VIWFhRVaFAAAAFBRynQHuGvXrurcubOaNGkiY4xuvfVWeXt7l9h37dq1Ti0QAAAAcKYyBeCFCxdq3rx52r9/vzZs2KBmzZrJz8+vomsDAAAAnK5MAdjX11cPPPCAJGnbtm2aMmUKY4ABAABQJZX7izDWrVunWrVqqaCgQHv27NHZs2croi4AAACgQpQ7AJ85c0bDhg2Tn5+fmjVrpkOHDkmSRo8ercmTJzu9QAAAAMCZyh2AH330Ue3YsUPr16+Xj4+Pvb1r165aunSpU4sDAAAAnK3M3wRXZMWKFVq6dKnat28vi8Vib2/atKn279/v1OIAAAAAZyv3HeBjx44pJCSkWHteXp5DIAYAAAAqo3IH4GuuuUYrV660LxeF3ldffVUdOnRwXmUAAABABSj3EIjk5GT17NlTu3bt0tmzZ/XCCy8oPT1dmzZt0oYNGyqiRgAAAMBpyn0HuGPHjvriiy/0yy+/qGHDhlq9erVCQ0O1adMmtWnTpiJqBAAAAJym3AFYkmJiYjRv3jzt3LlTu3bt0sKFCxUTE1Pu7Xz66afq06ePIiIiZLFYtGLFCvu6wsJCPfLII4qJiVH16tUVERGhwYMH66effnLYRmxsrCwWi8PrjjvucOiTnZ2t+Ph42Ww22Ww2xcfH6+TJk3/k0AEAAFDFlXsIhCSdP39e+/btU1ZWls6fP++w7oYbbijzdvLy8tSiRQvdfffduu222xzW/fLLL/rqq6/0+OOPq0WLFsrOzlZCQoL69u2rbdu2OfQdPny4nnrqKfuyr6+vw/qBAwfqyJEjSklJkSTdd999io+P1wcffFDmWgEAAPDXUO4AvHnzZg0cOFA//vijjDEO6ywWi86dO1fmbcXFxSkuLq7EdTabTampqQ5t06dP17XXXqtDhw6pXr169nY/Pz+FhYWVuJ3du3crJSVFmzdvVrt27ST974G9PXv2qHHjxmWuFwCcqf6jKy/dyQ0cnNzL1SUAcDPlHgLxwAMPqG3bttq5c6dOnDih7Oxs++vEiRMVUaNdTk6OLBaLatWq5dC+aNEiBQUFqVmzZho/frxOnTplX7dp0ybZbDZ7+JWk9u3by2azaePGjaXuKz8/X7m5uQ4vAAAAVH3lvgO8d+9evfPOO7ryyisrop5S/frrr3r00Uc1cOBA1axZ094+aNAgNWjQQGFhYdq5c6cSExO1Y8cO+93jzMzMEuctDgkJUWZmZqn7S05O1pNPPun8AwEAAIBLlTsAt2vXTvv27busAbiwsFB33HGHzp8/r5kzZzqsGz58uP3n6OhoNWrUSG3bttVXX32l1q1bS1KJX9BhjLnoF3ckJiZq7Nix9uXc3FxFRkb+2UMBAACAi5UpAH/zzTf2n0eNGqVx48YpMzNTMTEx8vLycujbvHlzpxZYWFio/v3768CBA1q7dq3D3d+StG7dWl5eXtq7d69at26tsLAwHT16tFi/Y8eOKTQ0tNTtWK1WWa3WP10/AAAAKpcyBeCWLVvKYrE4PPR2zz332H8uWlfeh+AupSj87t27V+vWrVNgYOAl35Oenq7CwkKFh4dLkjp06KCcnBxt2bJF1157rSTpyy+/VE5Ojjp27Oi0WgEAAFA1lCkAHzhwoEJ2fvr0ae3bt89hP2lpaQoICFBERIRuv/12ffXVV/rwww917tw5+5jdgIAAeXt7a//+/Vq0aJFuuukmBQUFadeuXRo3bpxatWql6667TpLUpEkT9ezZU8OHD9crr7wi6bdp0Hr37s0MEAAAAG6oTAE4KipK99xzj1544QX5+/s7befbtm1T586d7ctFY26HDBmipKQkvf/++5J+uwP9e+vWrVNsbKy8vb31ySef6IUXXtDp06cVGRmpXr16acKECfLw8LD3X7RokUaPHq3u3btLkvr27asZM2Y47TgAAABQdZT5Ibh58+Zp8uTJTg3AsbGxxeYS/r2LrZOkyMhIbdiw4ZL7CQgI0MKFC8tdHwAAAP56yjwP8KXCKAAAAFAVlOuLMC42bRgAAABQFZRrHuCrrrrqkiG4or8NDgAAAPgzyhWAn3zySdlstoqqBQAAAKhw5QrAd9xxR4lfKwwAAABUFWUeA8z4XwAAAPwVMAsEAAAA3EqZh0CcP3++IusAAAAALotyTYMGAAAAVHUEYAAAALgVAjAAAADcSpkCcOvWrZWdnS1Jeuqpp/TLL79UaFEAAABARSlTAN69e7fy8vIk/fZlGKdPn67QogAAAICKUqZZIFq2bKm7775b119/vYwxeuaZZ1SjRo0S+z7xxBNOLRAAAABwpjIF4Llz52rChAn68MMPZbFY9PHHH8vTs/hbLRYLARgAAACVWpkCcOPGjbVkyRJJUrVq1fTJJ5/wlcgAAACoksr8RRhF+EIMAAAAVGXlDsCStH//fj3//PPavXu3LBaLmjRpojFjxqhhw4bOrg8AAABwqnLPA7xq1So1bdpUW7ZsUfPmzRUdHa0vv/xSzZo1U2pqakXUCAAAADhNue8AP/roo3rooYc0efLkYu2PPPKIunXr5rTiAAAAAGcr9x3g3bt3a9iwYcXa77nnHu3atcspRQEAAAAVpdwBODg4WGlpacXa09LSmBkCAAAAlV65h0AMHz5c9913n3744Qd17NhRFotFn3/+uaZMmaJx48ZVRI0AAACA05Q7AD/++OPy9/fXs88+q8TERElSRESEkpKSNHr0aKcXCAAAADhTuQOwxWLRQw89pIceekinTp2SJPn7+zu9MAAAAKAilHsM8O/5+/v/qfD76aefqk+fPoqIiJDFYtGKFSsc1htjlJSUpIiICPn6+io2Nlbp6ekOffLz8zVq1CgFBQWpevXq6tu3r44cOeLQJzs7W/Hx8bLZbLLZbIqPj9fJkyf/cN0AAACouv5UAP6z8vLy1KJFC82YMaPE9VOnTtW0adM0Y8YMbd26VWFhYerWrZv9zrMkJSQkaPny5VqyZIk+//xznT59Wr1799a5c+fsfQYOHKi0tDSlpKQoJSVFaWlpio+Pr/DjAwAAQOXzh74Jzlni4uIUFxdX4jpjjJ5//nn961//Ur9+/SRJ8+bNU2hoqN58803df//9ysnJ0euvv64FCxaoa9eukqSFCxcqMjJSa9asUY8ePbR7926lpKRo8+bNateunSTp1VdfVYcOHbRnzx41btz48hwsAAAAKgWX3gG+mAMHDigzM1Pdu3e3t1mtVnXq1EkbN26UJG3fvl2FhYUOfSIiIhQdHW3vs2nTJtlsNnv4laT27dvLZrPZ+wAAAMB9lCsAFxYWqnPnzvr+++8rqh67zMxMSVJoaKhDe2hoqH1dZmamvL29Vbt27Yv2KWl+4pCQEHufkuTn5ys3N9fhBQAAgKqvXAHYy8tLO3fulMViqah6irlwX8aYS+7/wj4l9b/UdpKTk+0PzdlsNkVGRpazcgAAAFRG5R4CMXjwYL3++usVUYuDsLAwSSp2lzYrK8t+VzgsLEwFBQXKzs6+aJ+jR48W2/6xY8eK3V3+vcTEROXk5Nhfhw8f/lPHAwAAgMqh3A/BFRQU6LXXXlNqaqratm2r6tWrO6yfNm2aUwpr0KCBwsLClJqaqlatWtn3vWHDBk2ZMkWS1KZNG3l5eSk1NVX9+/eXJGVkZGjnzp2aOnWqJKlDhw7KycnRli1bdO2110qSvvzyS+Xk5Khjx46l7t9qtcpqtTrlWAAAAFB5lDsA79y5U61bt5akYmOByzs04vTp09q3b599+cCBA0pLS1NAQIDq1aunhIQETZo0SY0aNVKjRo00adIk+fn5aeDAgZIkm82mYcOGady4cQoMDFRAQIDGjx+vmJgY+6wQTZo0Uc+ePTV8+HC98sorkqT77rtPvXv3ZgYIAAAAN1TuALxu3Tqn7Xzbtm3q3LmzfXns2LGSpCFDhmju3Ll6+OGHdebMGT344IPKzs5Wu3bttHr1aocv33juuefk6emp/v3768yZM+rSpYvmzp0rDw8Pe59FixZp9OjR9tki+vbtW+rcwwAAAPhr+8PzAO/bt0/79+/XDTfcIF9f3zI9nHah2NhYGWNKXW+xWJSUlKSkpKRS+/j4+Gj69OmaPn16qX0CAgK0cOHCctUGAACAv6ZyPwR3/PhxdenSRVdddZVuuukmZWRkSJLuvfdejRs3zukFAgAAAM5U7gD80EMPycvLS4cOHZKfn5+9fcCAAUpJSXFqcQAAAICzlXsIxOrVq7Vq1SrVrVvXob1Ro0b68ccfnVYYAAAAUBHKfQc4Ly/P4c5vkZ9//plpwwAAAFDplTsA33DDDZo/f7592WKx6Pz583r66acdZnQAAAAAKqNyD4F4+umnFRsbq23btqmgoEAPP/yw0tPTdeLECX3xxRcVUSMAAADgNOW+A9y0aVN98803uvbaa9WtWzfl5eWpX79++vrrr9WwYcOKqBEAAABwmj80D3BYWJiefPJJZ9cCAAAAVLg/FICzs7P1+uuva/fu3bJYLGrSpInuvvtuBQQEOLs+AAAAwKnKPQRiw4YNatCggV588UVlZ2frxIkTevHFF9WgQQNt2LChImoEAAAAnKbcd4BHjBih/v37a9asWfLw8JAknTt3Tg8++KBGjBihnTt3Or1IAAAAwFnKfQd4//79GjdunD38SpKHh4fGjh2r/fv3O7U4AAAAwNnKHYBbt26t3bt3F2vfvXu3WrZs6YyaAAAAgApTpiEQ33zzjf3n0aNHa8yYMdq3b5/at28vSdq8ebNeeuklTZ48uWKqBAAAAJykTAG4ZcuWslgsMsbY2x5++OFi/QYOHKgBAwY4rzoAAHDZ1H90patLqDQOTu7l6hJQgcoUgA8cOFDRdQAAAACXRZkCcFRUVEXXAQAAAFwWf+iLMP773//qiy++UFZWls6fP++wbvTo0U4pDAAAAKgI5Q7Ac+bM0QMPPCBvb28FBgbKYrHY11ksFgIwAAAAKrVyB+AnnnhCTzzxhBITE1WtWrlnUQMAAABcqtwJ9pdfftEdd9xB+AUAAECVVO4UO2zYML399tsVUQsAAABQ4co9BCI5OVm9e/dWSkqKYmJi5OXl5bB+2rRpTisOAAAAcLZyB+BJkyZp1apVaty4sSQVewgOAAAAqMzKHYCnTZumN954Q0OHDq2AcgAAAICKVe4xwFarVdddd11F1AIAAABUuHIH4DFjxmj69OkVUUuJ6tevL4vFUuw1YsQISdLQoUOLrWvfvr3DNvLz8zVq1CgFBQWpevXq6tu3r44cOXLZjgEAAACVR7mHQGzZskVr167Vhx9+qGbNmhV7CG7ZsmVOK06Stm7dqnPnztmXd+7cqW7duunvf/+7va1nz56aM2eOfdnb29thGwkJCfrggw+0ZMkSBQYGaty4cerdu7e2b98uDw8Pp9YLAACAyq3cAbhWrVrq169fRdRSouDgYIflyZMnq2HDhurUqZO9zWq1KiwsrMT35+Tk6PXXX9eCBQvUtWtXSdLChQsVGRmpNWvWqEePHhVXPAAAACqdP/RVyK5SUFCghQsXauzYsQ4zTqxfv14hISGqVauWOnXqpP/85z8KCQmRJG3fvl2FhYXq3r27vX9ERISio6O1ceNGAjAAAICbKXcAdqUVK1bo5MmTDjNQxMXF6e9//7uioqJ04MABPf7447rxxhu1fft2Wa1WZWZmytvbW7Vr13bYVmhoqDIzM0vdV35+vvLz8+3Lubm5Tj8eAAAAXH7lDsANGjS46Hy/P/zww58q6GJef/11xcXFKSIiwt42YMAA+8/R0dFq27atoqKitHLlyosO1TDGXPQ4kpOT9eSTTzqncAAAAFQa5Q7ACQkJDsuFhYX6+uuvlZKSon/+85/OqquYH3/8UWvWrLnkQ3bh4eGKiorS3r17JUlhYWEqKChQdna2w13grKwsdezYsdTtJCYmauzYsfbl3NxcRUZG/smjAAAAgKuVOwCPGTOmxPaXXnpJ27Zt+9MFlWbOnDkKCQlRr169Ltrv+PHjOnz4sMLDwyVJbdq0kZeXl1JTU9W/f39JUkZGhnbu3KmpU6eWuh2r1Sqr1eq8AwAAAEClUO55gEsTFxend99911mbc3D+/HnNmTNHQ4YMkafn/zL76dOnNX78eG3atEkHDx7U+vXr1adPHwUFBenWW2+VJNlsNg0bNkzjxo3TJ598oq+//lp33XWXYmJi7LNCAAAAwH047SG4d955RwEBAc7anIM1a9bo0KFDuueeexzaPTw89O2332r+/Pk6efKkwsPD1blzZy1dulT+/v72fs8995w8PT3Vv39/nTlzRl26dNHcuXOZAxgAAMANlTsAt2rVyuHhMWOMMjMzdezYMc2cOdOpxRXp3r27jDHF2n19fbVq1apLvt/Hx0fTp0+/rN9gBwAAgMqp3AH4lltucViuVq2agoODFRsbq6uvvtpZdQEAAAAVotwBeMKECRVRBwAAAHBZOO0hOAAAAKAqKPMd4GrVql30iyMkyWKx6OzZs3+6KAAAAKCilDkAL1++vNR1Gzdu1PTp00t8UA0AAACoTMocgG+++eZibd99950SExP1wQcfaNCgQfr3v//t1OIAAAAAZ/tDY4B/+uknDR8+XM2bN9fZs2eVlpamefPmqV69es6uDwAAAHCqcgXgnJwcPfLII7ryyiuVnp6uTz75RB988IGio6Mrqj4AAADAqco8BGLq1KmaMmWKwsLCtHjx4hKHRAAAAACVXZkD8KOPPipfX19deeWVmjdvnubNm1div2XLljmtOAAAAMDZyhyABw8efMlp0AAAAIDKrswBeO7cuRVYBgAAAHB58E1wAAAAcCsEYAAAALgVAjAAAADcCgEYAAAAboUADAAAALdCAAYAAIBbIQADAADArRCAAQAA4FYIwAAAAHArBGAAAAC4FQIwAAAA3AoBGAAAAG6FAAwAAAC3QgAGAACAW6nUATgpKUkWi8XhFRYWZl9vjFFSUpIiIiLk6+ur2NhYpaenO2wjPz9fo0aNUlBQkKpXr66+ffvqyJEjl/tQAAAAUElU6gAsSc2aNVNGRob99e2339rXTZ06VdOmTdOMGTO0detWhYWFqVu3bjp16pS9T0JCgpYvX64lS5bo888/1+nTp9W7d2+dO3fOFYcDAAAAF/N0dQGX4unp6XDXt4gxRs8//7z+9a9/qV+/fpKkefPmKTQ0VG+++abuv/9+5eTk6PXXX9eCBQvUtWtXSdLChQsVGRmpNWvWqEePHpf1WAAAAOB6lf4O8N69exUREaEGDRrojjvu0A8//CBJOnDggDIzM9W9e3d7X6vVqk6dOmnjxo2SpO3bt6uwsNChT0REhKKjo+19AAAA4F4q9R3gdu3aaf78+brqqqt09OhRTZw4UR07dlR6eroyMzMlSaGhoQ7vCQ0N1Y8//ihJyszMlLe3t2rXrl2sT9H7S5Ofn6/8/Hz7cm5urjMOCQAAAC5WqQNwXFyc/eeYmBh16NBBDRs21Lx589S+fXtJksVicXiPMaZY24XK0ic5OVlPPvnkH6wcAAAAlVWlHwLxe9WrV1dMTIz27t1rHxd84Z3crKws+13hsLAwFRQUKDs7u9Q+pUlMTFROTo79dfjwYSceCQAAAFylSgXg/Px87d69W+Hh4WrQoIHCwsKUmppqX19QUKANGzaoY8eOkqQ2bdrIy8vLoU9GRoZ27txp71Maq9WqmjVrOrwAAABQ9VXqIRDjx49Xnz59VK9ePWVlZWnixInKzc3VkCFDZLFYlJCQoEmTJqlRo0Zq1KiRJk2aJD8/Pw0cOFCSZLPZNGzYMI0bN06BgYEKCAjQ+PHjFRMTY58VAgAAAO6lUgfgI0eO6M4779TPP/+s4OBgtW/fXps3b1ZUVJQk6eGHH9aZM2f04IMPKjs7W+3atdPq1avl7+9v38Zzzz0nT09P9e/fX2fOnFGXLl00d+5ceXh4uOqwAAAA4EKVOgAvWbLkoustFouSkpKUlJRUah8fHx9Nnz5d06dPd3J1AAAAqIqq1BhgAAAA4M8iAAMAAMCtEIABAADgVgjAAAAAcCsEYAAAALgVAjAAAADcCgEYAAAAboUADAAAALdCAAYAAIBbIQADAADArRCAAQAA4FYIwAAAAHArBGAAAAC4FQIwAAAA3AoBGAAAAG6FAAwAAAC3QgAGAACAWyEAAwAAwK0QgAEAAOBWCMAAAABwKwRgAAAAuBUCMAAAANwKARgAAABuhQAMAAAAt0IABgAAgFshAAMAAMCtVOoAnJycrGuuuUb+/v4KCQnRLbfcoj179jj0GTp0qCwWi8Orffv2Dn3y8/M1atQoBQUFqXr16urbt6+OHDlyOQ8FAAAAlUSlDsAbNmzQiBEjtHnzZqWmpurs2bPq3r278vLyHPr17NlTGRkZ9tdHH33ksD4hIUHLly/XkiVL9Pnnn+v06dPq3bu3zp07dzkPBwAAAJWAp6sLuJiUlBSH5Tlz5igkJETbt2/XDTfcYG+3Wq0KCwsrcRs5OTl6/fXXtWDBAnXt2lWStHDhQkVGRmrNmjXq0aNHxR0AAAAAKp1KfQf4Qjk5OZKkgIAAh/b169crJCREV111lYYPH66srCz7uu3bt6uwsFDdu3e3t0VERCg6OlobN24sdV/5+fnKzc11eAEAAKDqqzIB2BijsWPH6vrrr1d0dLS9PS4uTosWLdLatWv17LPPauvWrbrxxhuVn58vScrMzJS3t7dq167tsL3Q0FBlZmaWur/k5GTZbDb7KzIysmIODAAAAJdVpR4C8XsjR47UN998o88//9yhfcCAAfafo6Oj1bZtW0VFRWnlypXq169fqdszxshisZS6PjExUWPHjrUv5+bmEoIBAAD+AqrEHeBRo0bp/fff17p161S3bt2L9g0PD1dUVJT27t0rSQoLC1NBQYGys7Md+mVlZSk0NLTU7VitVtWsWdPhBQAAgKqvUgdgY4xGjhypZcuWae3atWrQoMEl33P8+HEdPnxY4eHhkqQ2bdrIy8tLqamp9j4ZGRnauXOnOnbsWGG1AwAAoHKq1EMgRowYoTfffFPvvfee/P397WN2bTabfH19dfr0aSUlJem2225TeHi4Dh48qMcee0xBQUG69dZb7X2HDRumcePGKTAwUAEBARo/frxiYmLss0IAAADAfVTqADxr1ixJUmxsrEP7nDlzNHToUHl4eOjbb7/V/PnzdfLkSYWHh6tz585aunSp/P397f2fe+45eXp6qn///jpz5oy6dOmiuXPnysPD43IeDgAAACqBSh2AjTEXXe/r66tVq1Zdcjs+Pj6aPn26pk+f7qzSAAAAUEVV6jHAAAAAgLMRgAEAAOBWCMAAAABwKwRgAAAAuBUCMAAAANwKARgAAABuhQAMAAAAt0IABgAAgFshAAMAAMCtEIABAADgVgjAAAAAcCsEYAAAALgVAjAAAADcCgEYAAAAboUADAAAALdCAAYAAIBbIQADAADArRCAAQAA4FYIwAAAAHArBGAAAAC4FQIwAAAA3AoBGAAAAG6FAAwAAAC3QgAGAACAWyEAAwAAwK0QgAEAAOBW3CoAz5w5Uw0aNJCPj4/atGmjzz77zNUlAQAA4DJzmwC8dOlSJSQk6F//+pe+/vpr/e1vf1NcXJwOHTrk6tIAAABwGXm6uoDLZdq0aRo2bJjuvfdeSdLzzz+vVatWadasWUpOTnZxdQAA4K+k/qMrXV1CpXFwci9Xl1CMWwTggoICbd++XY8++qhDe/fu3bVx48YS35Ofn6/8/Hz7ck5OjiQpNze34gq9wPn8Xy7bviozZ5xzzuVvOJfOw7l0Hs6l8/zZc8l5/B/OpfNczuxUtC9jzEX7uUUA/vnnn3Xu3DmFhoY6tIeGhiozM7PE9yQnJ+vJJ58s1h4ZGVkhNaJ0tuddXcFfB+fSeTiXzsO5dB7OpfNwLp3HFefy1KlTstlspa53iwBcxGKxOCwbY4q1FUlMTNTYsWPty+fPn9eJEycUGBhY6nv+anJzcxUZGanDhw+rZs2ari6nSuNcOg/n0nk4l87DuXQezqVzuOt5NMbo1KlTioiIuGg/twjAQUFB8vDwKHa3Nysrq9hd4SJWq1VWq9WhrVatWhVVYqVWs2ZNt/rlqUicS+fhXDoP59J5OJfOw7l0Dnc8jxe781vELWaB8Pb2Vps2bZSamurQnpqaqo4dO7qoKgAAALiCW9wBlqSxY8cqPj5ebdu2VYcOHTR79mwdOnRIDzzwgKtLAwAAwGXkNgF4wIABOn78uJ566illZGQoOjpaH330kaKiolxdWqVltVo1YcKEYkNBUH6cS+fhXDoP59J5OJfOw7l0Ds7jxVnMpeaJAAAAAP5C3GIMMAAAAFCEAAwAAAC3QgAGAACAWyEAAwAAwK0QgFHMp59+qj59+igiIkIWi0UrVqxwdUlVVnJysq655hr5+/srJCREt9xyi/bs2ePqsqqkWbNmqXnz5vZJ3Tt06KCPP/7Y1WVVecnJybJYLEpISHB1KVVOUlKSLBaLwyssLMzVZVVZ//3vf3XXXXcpMDBQfn5+atmypbZv3+7qsiqdw4cPa9iwYYqIiJC3t7eioqI0ZswYHT9+3N7nhx9+0J133qmIiAj5+Piobt26uvnmm/X99987bGvdunW66aab7Oe8adOmGjdunP773/9e7sO67AjAKCYvL08tWrTQjBkzXF1KlbdhwwaNGDFCmzdvVmpqqs6ePavu3bsrLy/P1aVVOXXr1tXkyZO1bds2bdu2TTfeeKNuvvlmpaenu7q0Kmvr1q2aPXu2mjdv7upSqqxmzZopIyPD/vr2229dXVKVlJ2dreuuu05eXl76+OOPtWvXLj377LNu+w2spfnhhx/Utm1bff/991q8eLH27dunl19+WZ988ok6dOigEydOqKCgQN26dVNubq6WLVumPXv2aOnSpYqOjlZOTo59W6+88oq6du2qsLAwvfvuu9q1a5defvll5eTk6Nlnn3XhUV4mBrgISWb58uWuLuMvIysry0gyGzZscHUpfwm1a9c2r732mqvLqJJOnTplGjVqZFJTU02nTp3MmDFjXF1SlTNhwgTTokULV5fxl/DII4+Y66+/3tVlVHo9e/Y0devWNb/88otDe0ZGhvHz8zMPPPCA+frrr40kc/DgwVK3c/jwYePt7W0SEhJKXJ+dne3Msisl7gADl1HR/30HBAS4uJKq7dy5c1qyZIny8vLUoUMHV5dTJY0YMUK9evVS165dXV1KlbZ3715FRESoQYMGuuOOO/TDDz+4uqQq6f3331fbtm3197//XSEhIWrVqpVeffVVV5dVqZw4cUKrVq3Sgw8+KF9fX4d1YWFhGjRokJYuXarg4GBVq1ZN77zzjs6dO1fitt5++20VFBTo4YcfLnG9O9x5JwADl4kxRmPHjtX111+v6OhoV5dTJX377beqUaOGrFarHnjgAS1fvlxNmzZ1dVlVzpIlS/TVV18pOTnZ1aVUae3atdP8+fO1atUqvfrqq8rMzFTHjh0dxmKibH744QfNmjVLjRo10qpVq/TAAw9o9OjRmj9/vqtLqzT27t0rY4yaNGlS4vomTZooOztbXl5eevHFF/XEE0+odu3auvHGG/Xvf//b4X/O9u7dq5o1ayo8PPxylV/pEICBy2TkyJH65ptvtHjxYleXUmU1btxYaWlp2rx5s/7xj39oyJAh2rVrl6vLqlIOHz6sMWPGaOHChfLx8XF1OVVaXFycbrvtNsXExKhr165auXKlJGnevHkurqzqOX/+vFq3bq1JkyapVatWuv/++zV8+HDNmjXL1aVVGeb/f7GvxWLRiBEjlJmZqYULF6pDhw56++231axZM6Wmptr7WiwWV5brcgRg4DIYNWqU3n//fa1bt05169Z1dTlVlre3t6688kq1bdtWycnJatGihV544QVXl1WlbN++XVlZWWrTpo08PT3l6empDRs26MUXX5Snp2epfzLFpVWvXl0xMTHau3evq0upcsLDw4v9NadJkyY6dOiQiyqqfK688kpZLJZS/6f/u+++U+3atRUUFCRJ8vf3V9++ffWf//xHO3bs0N/+9jdNnDhRknTVVVcpJydHGRkZl63+yoYADFQgY4xGjhypZcuWae3atWrQoIGrS/pLMcYoPz/f1WVUKV26dNG3336rtLQ0+6tt27YaNGiQ0tLS5OHh4eoSq6z8/Hzt3r3brf+s/Eddd911xaaI/P777xUVFeWiiiqfwMBAdevWTTNnztSZM2cc1mVmZmrRokUaMGBAiXd2LRaLrr76avsMRLfffru8vb01derUEvd18uRJp9df2Xi6ugBUPqdPn9a+ffvsywcOHFBaWpoCAgJUr149F1ZW9YwYMUJvvvmm3nvvPfn7+yszM1OSZLPZij3EgIt77LHHFBcXp8jISJ06dUpLlizR+vXrlZKS4urSqhR/f/9iY9CrV6+uwMBAxqaX0/jx49WnTx/Vq1dPWVlZmjhxonJzczVkyBBXl1blPPTQQ+rYsaMmTZqk/v37a8uWLZo9e7Zmz57t6tIqlRkzZqhjx47q0aOHJk6cqAYNGig9PV3//Oc/VadOHf3nP/9RWlqaJkyYoPj4eDVt2lTe3t7asGGD3njjDT3yyCOSpMjISD333HMaOXKkcnNzNXjwYNWvX19HjhzR/PnzVaNGjb/+VGiunIICldO6deuMpGKvIUOGuLq0Kqek8yjJzJkzx9WlVTn33HOPiYqKMt7e3iY4ONh06dLFrF692tVl/SUwDdofM2DAABMeHm68vLxMRESE6devn0lPT3d1WVXWBx98YKKjo43VajVXX321mT17tqtLqpQOHjxohg4dasLCwoyXl5eJjIw0o0aNMj///LMxxphjx46Z0aNHm+joaFOjRg3j7+9vYmJizDPPPGPOnTvnsK3U1FTTo0cPU7t2bePj42OuvvpqM378ePPTTz+54tAuK4sx/3/UNAAAAOAGGAMMAAAAt0IABgAAgFshAAMAAMCtEIABAADgVgjAAAAAcCsEYAAAALgVAjAAAADcCgEYAAAAboUADAAAALdCAAYAAIBbIQADAADArRCAAQAA4Fb+H6T4sn1bqxk0AAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 800x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(8,4))\n",
+    "plt.bar(theft_count_zone['INCIDENTZONE'],\n",
+    "        theft_count_zone['theft_count'],\n",
+    "        0.8)\n",
+    "plt.title('Thefts/Robberies by Zone in Pittsburgh')\n",
+    "plt.ylabel('Number of Thefts')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "id": "b3541f8a-5bc0-4e09-b2f7-797855372370",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Create a condition to filter out only certain type of offense to create new DF\n",
+    "assualt_df = arrest_pitt_df['OFFENSES'].str.contains(\"Assault\", na=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "b7d449b7-862b-407d-a983-1c4d75055b77",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Create bar graph on assault by Zone\n",
+    "assault_count_zone = arrest_pitt_df[assualt_df].groupby(['INCIDENTZONE']).\\\n",
+    "aggregate(assault_count = ('OFFENSES', 'count')).\\\n",
+    "reset_index()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "id": "0ee0428b-3301-40f2-bc99-b31251da3112",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(8,4))\n",
+    "plt.bar(assault_count_zone['INCIDENTZONE'],\n",
+    "        assault_count_zone['assault_count'],\n",
+    "        0.8)\n",
+    "plt.title('Assaults by Zone in Pittsburgh')\n",
+    "plt.ylabel('Number of Assaults')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 70,
+   "id": "a892db54-d64b-4e24-8a8f-e4e6a8ee43d0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Create a condition to filter out only certain type of offense to create new DF\n",
+    "possession_df = arrest_pitt_df['OFFENSES'].str.contains(\"Possession\", na=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "id": "1fa52f20-2745-4340-968c-29d570ece356",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Create bar graph on possession by Zone\n",
+    "possession_count_zone = arrest_pitt_df[possession_df].groupby(['INCIDENTZONE']).\\\n",
+    "aggregate(possession_count = ('OFFENSES', 'count')).\\\n",
+    "reset_index()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "id": "19fbaf92-4235-4c14-9785-584d5fb11c77",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(8,4))\n",
+    "plt.bar(possession_count_zone['INCIDENTZONE'],\n",
+    "        possession_count_zone['possession_count'],\n",
+    "        0.8)\n",
+    "plt.title('Possession of Controlled Substance by Zone in Pittsburgh')\n",
+    "plt.ylabel('Number of Possession Charges')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 71,
+   "id": "532a757d-1e6d-4879-aae1-db7543655736",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Create a condition to filter out only certain type of offense to create new DF\n",
+    "disorderly_df = arrest_pitt_df['OFFENSES'].str.contains(\"Disorderly Conduct\", na=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "id": "b78c4ec1-63c6-440e-9d85-9815baf22288",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Create bar graph on Disorderly Conduct by Zone\n",
+    "disorderly_count_zone = arrest_pitt_df[disorderly_df].groupby(['INCIDENTZONE']).\\\n",
+    "aggregate(disorderly_count = ('OFFENSES', 'count')).\\\n",
+    "reset_index()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "id": "c6d76451-5fed-46ef-a6e0-ede5bc5c217c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(8,4))\n",
+    "plt.bar(disorderly_count_zone['INCIDENTZONE'],\n",
+    "        disorderly_count_zone['disorderly_count'],\n",
+    "        0.8)\n",
+    "plt.title('Disorderly Conduct by Zone in Pittsburgh')\n",
+    "plt.ylabel('Number of Disorderly Conducts')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 72,
+   "id": "de4dd10f-9302-4d28-acbd-edeb7dca4790",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "DUI_df = arrest_pitt_df['OFFENSES'].str.contains(\"DUI\", na=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "id": "0eba06e2-fbb9-477e-baf3-fad3140852e2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Create bar graph on DUIs by Zone\n",
+    "DUI_count_zone = arrest_pitt_df[DUI_df].groupby(['INCIDENTZONE']).\\\n",
+    "aggregate(DUI_count = ('OFFENSES', 'count')).\\\n",
+    "reset_index()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "id": "8ff5adec-ef9b-4090-89f3-0cd5fd5a6c22",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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1/D4++OCDxn//+1/HOfPu5YcffmiMGDHCqFy5smG1Wo17773X2Lp1a766FixYYNSvX98oV66c0aBBA2P58uVXXAXitddeK/Da4uPjjdDQUMPLy8uoXr26MXnyZGPEiBFGxYoVnfpJMiIjIwt1bwAUncUwiuHRbAC4yYwZM0Zz587VkSNHCnw4CbgeOTk5atKkiW699VatW7fO3eUApsEUCAC4is2bN2vfvn2aM2eOhgwZQvjFXzJ48GB16NBBVatWVUpKit5++23t2bNHb7zxhrtLA0yFEWAAuAqLxSIfHx89+OCDmj9/fqHX/gUKEhERoU2bNunEiRPy9PRUs2bNNHHiRD3wwAPuLg0wFQIwAAAATIVl0AAAAGAqBGAAAACYCgEYAAAApsIqEIV08eJFHTt2TL6+vvlecQkAAAD3MwxDZ86cUVBQkMqUufI4LwG4kI4dO6bg4GB3lwEAAIBrOHLkiKpVq3bF/QTgQvL19ZV06YYW5dWXAAAAuDEyMjIUHBzsyG1X4tYA/M033+i1115TUlKSjh8/rvj4ePXs2VPSpbfj/OMf/9Dq1au1f/9+2Ww2tW/fXpMnT1ZQUJDjHFlZWRo7dqyWLl2q8+fPKzw8XHPmzHFK/WlpaRoxYoRWrlwpSerevbtmzZqlW265pdC15k178PPzIwADAACUYNearurWh+AyMzPVuHFjzZ49O9++c+fOadu2bXrhhRe0bds2rVixQvv27VP37t2d+kVFRSk+Pl7Lli3Txo0bdfbsWXXt2lW5ubmOPn379lVycrLWrFmjNWvWKDk5Wf379y/26wMAAEDJU2JehGGxWJxGgAuSmJiou+66S4cOHVL16tWVnp6uypUr68MPP1SfPn0k/d9c3dWrV6tTp07as2ePGjRooM2bN6tly5aSLr3atFWrVvrpp59Ut27dQtWXkZEhm82m9PR0RoABAABKoMLmtVK1DFp6erosFotj6kJSUpJycnLUsWNHR5+goCCFhIRo06ZNkqTvvvtONpvNEX4l6e6775bNZnP0AQAAgHmUmofg/vjjD40fP159+/Z1JPqUlBR5eXmpYsWKTn0DAwOVkpLi6FOlSpV856tSpYqjT0GysrKUlZXl2M7IyHDFZQAAAMDNSsUIcE5Ojh555BFdvHhRc+bMuWZ/wzCcJj8XNBH68j6Xi42Nlc1mc3xYAg0AAODmUOIDcE5OjiIiInTgwAElJCQ4zeew2+3Kzs5WWlqa0zGpqakKDAx09Pntt9/ynffEiROOPgWZMGGC0tPTHZ8jR4646IoAAADgTiU6AOeF359//llffPGFAgICnPY3b95cnp6eSkhIcLQdP35cO3fuVOvWrSVJrVq1Unp6urZs2eLo8/333ys9Pd3RpyBWq9Wx5BlLnwEAANw83DoH+OzZs/rll18c2wcOHFBycrL8/f0VFBSk3r17a9u2bVq1apVyc3Mdc3b9/f3l5eUlm82mwYMHa8yYMQoICJC/v7/Gjh2r0NBQtW/fXpJUv359PfDAA3rqqaf0zjvvSJKefvppde3atdArQAAAAODm4dZl0L7++mu1a9cuX/vAgQMVHR2tWrVqFXjc+vXr1bZtW0mXHo579tlntWTJEqcXYfx5zu6pU6fyvQhj9uzZRXoRBsugAQAAlGyFzWslZh3gko4ADAAAULLdlOsAAwAAAH8VARgAAACmUmpehAGgZKg5/jN3l1AiHJzcxd0lAACuEyPAAAAAMBUCMAAAAEyFAAwAAABTIQADAADAVAjAAAAAMBUCMAAAAEyFAAwAAABTIQADAADAVAjAAAAAMBUCMAAAAEyFAAwAAABTIQADAADAVAjAAAAAMBUCMAAAAEyFAAwAAABTIQADAADAVAjAAAAAMBUCMAAAAEyFAAwAAABTIQADAADAVAjAAAAAMBUCMAAAAEyFAAwAAABTIQADAADAVAjAAAAAMBUCMAAAAEyFAAwAAABTIQADAADAVAjAAAAAMBUCMAAAAEyFAAwAAABTIQADAADAVAjAAAAAMBUCMAAAAEyFAAwAAABTIQADAADAVAjAAAAAMBW3BuBvvvlG3bp1U1BQkCwWiz799FOn/YZhKDo6WkFBQfL29lbbtm21a9cupz5ZWVkaPny4KlWqpPLly6t79+46evSoU5+0tDT1799fNptNNptN/fv31+nTp4v56gAAAFASuTUAZ2ZmqnHjxpo9e3aB+6dOnarp06dr9uzZSkxMlN1uV4cOHXTmzBlHn6ioKMXHx2vZsmXauHGjzp49q65duyo3N9fRp2/fvkpOTtaaNWu0Zs0aJScnq3///sV+fQAAACh5LIZhGO4uQpIsFovi4+PVs2dPSZdGf4OCghQVFaXnnntO0qXR3sDAQE2ZMkVDhgxRenq6KleurA8//FB9+vSRJB07dkzBwcFavXq1OnXqpD179qhBgwbavHmzWrZsKUnavHmzWrVqpZ9++kl169YtVH0ZGRmy2WxKT0+Xn5+f628AUErUHP+Zu0soEQ5O7uLuEgAAlylsXiuxc4APHDiglJQUdezY0dFmtVoVFhamTZs2SZKSkpKUk5Pj1CcoKEghISGOPt99951sNpsj/ErS3XffLZvN5uhTkKysLGVkZDh9AAAAUPqV2ACckpIiSQoMDHRqDwwMdOxLSUmRl5eXKlaseNU+VapUyXf+KlWqOPoUJDY21jFn2GazKTg4+C9dDwAAAEqGEhuA81gsFqdtwzDytV3u8j4F9b/WeSZMmKD09HTH58iRI0WsHAAAACVRiQ3AdrtdkvKN0qampjpGhe12u7Kzs5WWlnbVPr/99lu+8584cSLf6PKfWa1W+fn5OX0AAABQ+pXYAFyrVi3Z7XYlJCQ42rKzs7Vhwwa1bt1aktS8eXN5eno69Tl+/Lh27tzp6NOqVSulp6dry5Ytjj7ff/+90tPTHX0AAABgHmXd+eVnz57VL7/84tg+cOCAkpOT5e/vr+rVqysqKkoxMTGqU6eO6tSpo5iYGPn4+Khv376SJJvNpsGDB2vMmDEKCAiQv7+/xo4dq9DQULVv316SVL9+fT3wwAN66qmn9M4770iSnn76aXXt2rXQK0AAAADg5uHWALx161a1a9fOsT169GhJ0sCBAxUXF6dx48bp/PnzGjp0qNLS0tSyZUutW7dOvr6+jmNmzJihsmXLKiIiQufPn1d4eLji4uLk4eHh6LN48WKNGDHCsVpE9+7dr7j2MAAAAG5uJWYd4JKOdYCBS1gH+BLWAQaAkqfUrwMMAAAAFAcCMAAAAEyFAAwAAABTIQADAADAVAjAAAAAMBUCMAAAAEyFAAwAAABTIQADAADAVAjAAAAAMBUCMAAAAEyFAAwAAABTIQADAADAVAjAAAAAMBUCMAAAAEyFAAwAAABTIQADAADAVAjAAAAAMBUCMAAAAEyFAAwAAABTIQADAADAVAjAAAAAMBUCMAAAAEyFAAwAAABTIQADAADAVAjAAAAAMBUCMAAAAEyFAAwAAABTIQADAADAVAjAAAAAMBUCMAAAAEyFAAwAAABTIQADAADAVAjAAAAAMBUCMAAAAEyFAAwAAABTIQADAADAVIocgM+fP69z5845tg8dOqSZM2dq3bp1Li0MAAAAKA5FDsA9evTQwoULJUmnT59Wy5YtNW3aNPXo0UNz5851eYEAAACAKxU5AG/btk333nuvJOmTTz5RYGCgDh06pIULF+rNN990eYEAAACAKxU5AJ87d06+vr6SpHXr1qlXr14qU6aM7r77bh06dMilxV24cEH/+Mc/VKtWLXl7e6t27dp6+eWXdfHiRUcfwzAUHR2toKAgeXt7q23bttq1a5fTebKysjR8+HBVqlRJ5cuXV/fu3XX06FGX1goAAIDSocgB+Pbbb9enn36qI0eOaO3aterYsaMkKTU1VX5+fi4tbsqUKXr77bc1e/Zs7dmzR1OnTtVrr72mWbNmOfpMnTpV06dP1+zZs5WYmCi73a4OHTrozJkzjj5RUVGKj4/XsmXLtHHjRp09e1Zdu3ZVbm6uS+sFAABAyVfkAPziiy9q7Nixqlmzplq2bKlWrVpJujQa3LRpU5cW991336lHjx7q0qWLatasqd69e6tjx47aunWrpEujvzNnztTzzz+vXr16KSQkRAsWLNC5c+e0ZMkSSVJ6erref/99TZs2Te3bt1fTpk21aNEi7dixQ1988YVL6wUAAEDJV+QA3Lt3bx0+fFhbt27VmjVrHO3h4eGaMWOGS4u755579OWXX2rfvn2SpB9++EEbN27Ugw8+KEk6cOCAUlJSHKPQkmS1WhUWFqZNmzZJkpKSkpSTk+PUJygoSCEhIY4+BcnKylJGRobTBwAAAKVf2es5yG63y263O7XdddddLinoz5577jmlp6erXr168vDwUG5url599VU9+uijkqSUlBRJUmBgoNNxeQ/m5fXx8vJSxYoV8/XJO74gsbGxeumll1x5OQAAACgBCh2Ae/XqVah+K1asuO5iLrd8+XItWrRIS5YsUcOGDZWcnKyoqCgFBQVp4MCBjn4Wi8XpOMMw8rVd7lp9JkyYoNGjRzu2MzIyFBwcfJ1XAgAAgJKi0AHYZrMVZx0FevbZZzV+/Hg98sgjkqTQ0FAdOnRIsbGxGjhwoGMUOiUlRVWrVnUcl5qa6hgVttvtys7OVlpamtMocGpqqlq3bn3F77ZarbJarcVxWQAAAHCjQgfg+fPnF2cdBTp37pzKlHGepuzh4eFYBq1WrVqy2+1KSEhwPICXnZ2tDRs2aMqUKZKk5s2by9PTUwkJCYqIiJAkHT9+XDt37tTUqVNv4NUAAACgJLiuOcA3Srdu3fTqq6+qevXqatiwobZv367p06friSeekHRp6kNUVJRiYmJUp04d1alTRzExMfLx8VHfvn0lXRq5Hjx4sMaMGaOAgAD5+/tr7NixCg0NVfv27d15eQAAAHCDQgfgdu3aFThn1mazqW7duoqMjHT5HNlZs2bphRde0NChQ5WamqqgoCANGTJEL774oqPPuHHjdP78eQ0dOlRpaWlq2bKl1q1b53hZhyTNmDFDZcuWVUREhM6fP6/w8HDFxcXJw8PDpfUCAACg5LMYhmEUpuOoUaMKbD99+rSSkpK0f/9+bdy4UU2aNHFlfSVGRkaGbDab0tPTXf7CD6A0qTn+M3eXUCIcnNzF3SUAAC5T2LxW6BHga63xGxkZqYkTJ2r16tWFrxIAAAC4wYr8IowrGTJkiLZv3+6q0wEAAADFwmUB2NvbW3/88YerTgcAAAAUC5cF4HXr1umOO+5w1ekAAACAYlHoOcArV64ssD09PV2JiYl6//33FRcX56q6AAAAgGJR6ADcs2fPAtt9fX1Vr149xcXF6eGHH3ZVXQAAAECxKHQAznv7GgAAAFCauWwOMAAAAFAaFOlVyBcvXlRcXJxWrFihgwcPymKxqFatWurdu7f69+9f4JviAAAAgJKk0AHYMAx1795dq1evVuPGjRUaGirDMLRnzx4NGjRIK1as0KefflqMpZoPb9y6hDduAQAAVyp0AI6Li9M333yjL7/8Uu3atXPa99VXX6lnz55auHChBgwY4PIiAQAAAFcp9BzgpUuXauLEifnCryTdf//9Gj9+vBYvXuzS4gAAAABXK3QA/vHHH/XAAw9ccX/nzp31ww8/uKQoAAAAoLgUOgCfOnVKgYGBV9wfGBiotLQ0lxQFAAAAFJdCB+Dc3FyVLXvlKcMeHh66cOGCS4oCAAAAikuRVoEYNGiQrFZrgfuzsrJcVhQAAABQXAodgAcOHHjNPqwAAQAAgJKu0AF4/vz5xVkHAAAAcEPwKmQAAACYCgEYAAAApkIABgAAgKkQgAEAAGAqhQrAzZo1c7zk4uWXX9a5c+eKtSgAAACguBQqAO/Zs0eZmZmSpJdeeklnz54t1qIAAACA4lKoZdCaNGmixx9/XPfcc48Mw9Drr7+uChUqFNj3xRdfdGmBAAAAgCsVKgDHxcVp0qRJWrVqlSwWiz7//PMCX4tssVgIwAAAACjRChWA69atq2XLlkmSypQpoy+//FJVqlQp1sIAAACA4lDoN8HluXjxYnHUAQAAANwQRQ7AkvS///1PM2fO1J49e2SxWFS/fn2NHDlSt912m6vrAwAAAFyqyOsAr127Vg0aNNCWLVvUqFEjhYSE6Pvvv1fDhg2VkJBQHDUCAAAALlPkEeDx48dr1KhRmjx5cr725557Th06dHBZcQAAAICrFXkEeM+ePRo8eHC+9ieeeEK7d+92SVEAAABAcSlyAK5cubKSk5PztScnJ7MyBAAAAEq8Ik+BeOqpp/T0009r//79at26tSwWizZu3KgpU6ZozJgxxVEjAAAA4DJFDsAvvPCCfH19NW3aNE2YMEGSFBQUpOjoaI0YMcLlBQIAAACuVOQAbLFYNGrUKI0aNUpnzpyRJPn6+rq8MAAAAKA4XNc6wHkIvgAAAChtivwQHAAAAFCaEYABAABgKiU+AP/666967LHHFBAQIB8fHzVp0kRJSUmO/YZhKDo6WkFBQfL29lbbtm21a9cup3NkZWVp+PDhqlSpksqXL6/u3bvr6NGjN/pSAAAAUAIUKQDn5OSoXbt22rdvX3HV4yQtLU1t2rSRp6enPv/8c+3evVvTpk3TLbfc4ugzdepUTZ8+XbNnz1ZiYqLsdrs6dOjgeEBPkqKiohQfH69ly5Zp48aNOnv2rLp27arc3Nwbch0AAAAoOYr0EJynp6d27twpi8VSXPU4mTJlioKDgzV//nxHW82aNR3/bRiGZs6cqeeff169evWSJC1YsECBgYFasmSJhgwZovT0dL3//vv68MMP1b59e0nSokWLFBwcrC+++EKdOnW6IdcCAACAkqHIUyAGDBig999/vzhqyWflypVq0aKFHn74YVWpUkVNmzbVu+++69h/4MABpaSkqGPHjo42q9WqsLAwbdq0SZKUlJSknJwcpz5BQUEKCQlx9AEAAIB5FHkZtOzsbL333ntKSEhQixYtVL58eaf906dPd1lx+/fv19y5czV69GhNnDhRW7Zs0YgRI2S1WjVgwAClpKRIkgIDA52OCwwM1KFDhyRJKSkp8vLyUsWKFfP1yTu+IFlZWcrKynJsZ2RkuOqyAAAA4EZFDsA7d+5Us2bNJCnfXGBXT424ePGiWrRooZiYGElS06ZNtWvXLs2dO1cDBgy44vcahnHNWq7VJzY2Vi+99NJfqB4AAAAlUZED8Pr164ujjgJVrVpVDRo0cGqrX7++/vWvf0mS7Ha7pEujvFWrVnX0SU1NdYwK2+12ZWdnKy0tzWkUODU1Va1bt77id0+YMEGjR492bGdkZCg4OPivXxQAAADc6rqXQfvll1+0du1anT9/XtKlEVVXa9Omjfbu3evUtm/fPtWoUUOSVKtWLdntdiUkJDj2Z2dna8OGDY5w27x5c3l6ejr1OX78uHbu3HnVAGy1WuXn5+f0AQAAQOlX5BHgkydPKiIiQuvXr5fFYtHPP/+s2rVr68knn9Qtt9yiadOmuay4UaNGqXXr1oqJiVFERIS2bNmiefPmad68eZIuTX2IiopSTEyM6tSpozp16igmJkY+Pj7q27evJMlms2nw4MEaM2aMAgIC5O/vr7Fjxyo0NNSxKgQAAADMo8gjwKNGjZKnp6cOHz4sHx8fR3ufPn20Zs0alxZ35513Kj4+XkuXLlVISIj++c9/aubMmerXr5+jz7hx4xQVFaWhQ4eqRYsW+vXXX7Vu3Tr5+vo6+syYMUM9e/ZURESE2rRpIx8fH/3nP/+Rh4eHS+sFAABAyWcxijh3wW63a+3atWrcuLF8fX31ww8/qHbt2jpw4IBCQ0N19uzZ4qrVrTIyMmSz2ZSenn7DpkPUHP/ZDfmeku7g5C7uLgF/wu/lJfxeAkDJU9i8VuQR4MzMTKeR3zy///67rFZrUU8HAAAA3FBFDsD33XefFi5c6Ni2WCy6ePGiXnvtNbVr186lxQEAAACuVuSH4F577TW1bdtWW7duVXZ2tsaNG6ddu3bp1KlT+vbbb4ujRgAAAMBlijwC3KBBA/3444+666671KFDB2VmZqpXr17avn27brvttuKoEQAAAHCZIo8AS5cehOMtaQAAACiNrisAp6Wl6f3339eePXtksVhUv359Pf744/L393d1fQAAAIBLFTkAb9iwQT169JCfn59atGghSXrzzTf18ssva+XKlQoLC3N5kQAAXA3L813C8nxA4RQ5AEdGRioiIkJz5851vEgiNzdXQ4cOVWRkpHbu3OnyIgEAAABXKfJDcP/73/80ZswYp7eoeXh4aPTo0frf//7n0uIAAAAAVyvyCHCzZs20Z88e1a1b16l9z549atKkiavqAgAANxhTSf4P00luboUKwD/++KPjv0eMGKGRI0fql19+0d133y1J2rx5s9566y1Nnjy5eKoEAAAAXKRQAbhJkyayWCwyDMPRNm7cuHz9+vbtqz59+riuOgAAAMDFChWADxw4UNx1AAAAADdEoQJwjRo1irsOAAAA4Ia4rhdh/Prrr/r222+VmpqqixcvOu0bMWKESwoDAAAAikORA/D8+fP1zDPPyMvLSwEBAbJYLI59FouFAAwAAIASrcgB+MUXX9SLL76oCRMmqEyZIi8jDAAAALhVkRPsuXPn9MgjjxB+AQAAUCoVeQR48ODB+vjjjzV+/PjiqAcATIOXDlzCCwcA3GhFDsCxsbHq2rWr1qxZo9DQUHl6ejrtnz59usuKAwAAAFytyAE4JiZGa9eudbwK+fKH4AAAAICSrMgBePr06frggw80aNCgYigHAAAAKF5FfpLNarWqTZs2xVELAAAAUOyKHIBHjhypWbNmFUctAAAAQLEr8hSILVu26KuvvtKqVavUsGHDfA/BrVixwmXFAQAAAK5W5AB8yy23qFevXsVRCwAAAFDsrutVyAAAAEBpxevcAAAAYCpFHgGuVavWVdf73b9//18qCAAAAChORQ7AUVFRTts5OTnavn271qxZo2effdZVdQEuxStnL+GVswAAXEcAHjlyZIHtb731lrZu3fqXCwIAAACKk8vmAHfu3Fn/+te/XHU6AAAAoFi4LAB/8skn8vf3d9XpAAAAgGJR5CkQTZs2dXoIzjAMpaSk6MSJE5ozZ45LiwMAAABcrcgBuGfPnk7bZcqUUeXKldW2bVvVq1fPVXUBAAAAxaLIAXjSpEnFUQcAAABwQ/AiDAAAAJhKoUeAy5Qpc9UXYEiSxWLRhQsX/nJRAAAAQHEpdACOj4+/4r5NmzZp1qxZMgzDJUUBAAAAxaXQUyB69OiR71O3bl3FxcVp2rRpevjhh7V3797irFWxsbGyWCxOb6MzDEPR0dEKCgqSt7e32rZtq127djkdl5WVpeHDh6tSpUoqX768unfvrqNHjxZrrQAAACiZrmsO8LFjx/TUU0+pUaNGunDhgpKTk7VgwQJVr17d1fU5JCYmat68eWrUqJFT+9SpUzV9+nTNnj1biYmJstvt6tChg86cOePoExUVpfj4eC1btkwbN27U2bNn1bVrV+Xm5hZbvQAAACiZihSA09PT9dxzz+n222/Xrl279OWXX+o///mPQkJCiqs+SdLZs2fVr18/vfvuu6pYsaKj3TAMzZw5U88//7x69eqlkJAQLViwQOfOndOSJUscNb///vuaNm2a2rdvr6ZNm2rRokXasWOHvvjii2KtGwAAACVPoQPw1KlTVbt2ba1atUpLly7Vpk2bdO+99xZnbQ6RkZHq0qWL2rdv79R+4MABpaSkqGPHjo42q9WqsLAwbdq0SZKUlJSknJwcpz5BQUEKCQlx9AEAAIB5FPohuPHjx8vb21u33367FixYoAULFhTYb8WKFS4rTpKWLVumbdu2KTExMd++lJQUSVJgYKBTe2BgoA4dOuTo4+Xl5TRynNcn7/iCZGVlKSsry7GdkZFx3dcAAACAkqPQAXjAgAHXXAbN1Y4cOaKRI0dq3bp1Kleu3BX7XV6XYRjXrPVafWJjY/XSSy8VrWAAAACUeIUOwHFxccVYRsGSkpKUmpqq5s2bO9pyc3P1zTffaPbs2Y5VJ1JSUlS1alVHn9TUVMeosN1uV3Z2ttLS0pxGgVNTU9W6desrfveECRM0evRox3ZGRoaCg4Nddm0AAABwjxL9Jrjw8HDt2LFDycnJjk+LFi3Ur18/JScnq3bt2rLb7UpISHAck52drQ0bNjjCbfPmzeXp6enU5/jx49q5c+dVA7DVapWfn5/TBwAAAKVfoUeA3cHX1zffChPly5dXQECAoz0qKkoxMTGqU6eO6tSpo5iYGPn4+Khv376SJJvNpsGDB2vMmDEKCAiQv7+/xo4dq9DQ0HwP1QEAAODmV6IDcGGMGzdO58+f19ChQ5WWlqaWLVtq3bp18vX1dfSZMWOGypYtq4iICJ0/f17h4eGKi4uTh4eHGysHAACAO5S6APz11187bVssFkVHRys6OvqKx5QrV06zZs3SrFmzirc4AAAAlHgleg4wAAAA4GoEYAAAAJgKARgAAACmQgAGAACAqRCAAQAAYCoEYAAAAJgKARgAAACmQgAGAACAqRCAAQAAYCoEYAAAAJgKARgAAACmQgAGAACAqRCAAQAAYCoEYAAAAJgKARgAAACmQgAGAACAqRCAAQAAYCoEYAAAAJgKARgAAACmQgAGAACAqRCAAQAAYCoEYAAAAJgKARgAAACmQgAGAACAqRCAAQAAYCoEYAAAAJgKARgAAACmQgAGAACAqRCAAQAAYCoEYAAAAJgKARgAAACmQgAGAACAqRCAAQAAYCoEYAAAAJgKARgAAACmQgAGAACAqRCAAQAAYCoEYAAAAJgKARgAAACmQgAGAACAqZToABwbG6s777xTvr6+qlKlinr27Km9e/c69TEMQ9HR0QoKCpK3t7fatm2rXbt2OfXJysrS8OHDValSJZUvX17du3fX0aNHb+SlAAAAoIQo0QF4w4YNioyM1ObNm5WQkKALFy6oY8eOyszMdPSZOnWqpk+frtmzZysxMVF2u10dOnTQmTNnHH2ioqIUHx+vZcuWaePGjTp79qy6du2q3Nxcd1wWAAAA3Kisuwu4mjVr1jhtz58/X1WqVFFSUpLuu+8+GYahmTNn6vnnn1evXr0kSQsWLFBgYKCWLFmiIUOGKD09Xe+//74+/PBDtW/fXpK0aNEiBQcH64svvlCnTp1u+HUBAADAfUr0CPDl0tPTJUn+/v6SpAMHDiglJUUdO3Z09LFarQoLC9OmTZskSUlJScrJyXHqExQUpJCQEEefgmRlZSkjI8PpAwAAgNKv1ARgwzA0evRo3XPPPQoJCZEkpaSkSJICAwOd+gYGBjr2paSkyMvLSxUrVrxin4LExsbKZrM5PsHBwa68HAAAALhJqQnAw4YN048//qilS5fm22exWJy2DcPI13a5a/WZMGGC0tPTHZ8jR45cX+EAAAAoUUpFAB4+fLhWrlyp9evXq1q1ao52u90uSflGclNTUx2jwna7XdnZ2UpLS7tin4JYrVb5+fk5fQAAAFD6legAbBiGhg0bphUrVuirr75SrVq1nPbXqlVLdrtdCQkJjrbs7Gxt2LBBrVu3liQ1b95cnp6eTn2OHz+unTt3OvoAAADAPEr0KhCRkZFasmSJ/v3vf8vX19cx0muz2eTt7S2LxaKoqCjFxMSoTp06qlOnjmJiYuTj46O+ffs6+g4ePFhjxoxRQECA/P39NXbsWIWGhjpWhQAAAIB5lOgAPHfuXElS27Ztndrnz5+vQYMGSZLGjRun8+fPa+jQoUpLS1PLli21bt06+fr6OvrPmDFDZcuWVUREhM6fP6/w8HDFxcXJw8PjRl0KAAAASogSHYANw7hmH4vFoujoaEVHR1+xT7ly5TRr1izNmjXLhdUBAACgNCrRc4ABAAAAVyMAAwAAwFQIwAAAADAVAjAAAABMhQAMAAAAUyEAAwAAwFQIwAAAADAVAjAAAABMhQAMAAAAUyEAAwAAwFQIwAAAADAVAjAAAABMhQAMAAAAUyEAAwAAwFQIwAAAADAVAjAAAABMhQAMAAAAUyEAAwAAwFQIwAAAADAVAjAAAABMhQAMAAAAUyEAAwAAwFQIwAAAADAVAjAAAABMhQAMAAAAUyEAAwAAwFQIwAAAADAVAjAAAABMhQAMAAAAUyEAAwAAwFQIwAAAADAVAjAAAABMhQAMAAAAUyEAAwAAwFQIwAAAADAVAjAAAABMhQAMAAAAUyEAAwAAwFQIwAAAADAVUwXgOXPmqFatWipXrpyaN2+u//73v+4uCQAAADeYaQLw8uXLFRUVpeeff17bt2/Xvffeq86dO+vw4cPuLg0AAAA3UFl3F3CjTJ8+XYMHD9aTTz4pSZo5c6bWrl2ruXPnKjY21s3VAQCAm0nN8Z+5u4QS4+DkLu4uIR9TBODs7GwlJSVp/PjxTu0dO3bUpk2bCjwmKytLWVlZju309HRJUkZGRvEVepmLWedu2HeVZK6459zLS7iXrsO9dB3upev81XvJffw/3EvXuZHZKe+7DMO4aj9TBODff/9dubm5CgwMdGoPDAxUSkpKgcfExsbqpZdeytceHBxcLDXiymwz3V3BzYN76TrcS9fhXroO99J1uJeu4457eebMGdlstivuN0UAzmOxWJy2DcPI15ZnwoQJGj16tGP74sWLOnXqlAICAq54zM0mIyNDwcHBOnLkiPz8/NxdTqnGvXQd7qXrcC9dh3vpOtxL1zDrfTQMQ2fOnFFQUNBV+5kiAFeqVEkeHh75RntTU1PzjQrnsVqtslqtTm233HJLcZVYovn5+ZnqfzzFiXvpOtxL1+Feug730nW4l65hxvt4tZHfPKZYBcLLy0vNmzdXQkKCU3tCQoJat27tpqoAAADgDqYYAZak0aNHq3///mrRooVatWqlefPm6fDhw3rmmWfcXRoAAABuINME4D59+ujkyZN6+eWXdfz4cYWEhGj16tWqUaOGu0srsaxWqyZNmpRvKgiKjnvpOtxL1+Feug730nW4l67Bfbw6i3GtdSIAAACAm4gp5gADAAAAeQjAAAAAMBUCMAAAAEyFAAwAAABTIQAjn2+++UbdunVTUFCQLBaLPv30U3eXVGrFxsbqzjvvlK+vr6pUqaKePXtq79697i6rVJo7d64aNWrkWNS9VatW+vzzz91dVqkXGxsri8WiqKgod5dS6kRHR8tisTh97Ha7u8sqtX799Vc99thjCggIkI+Pj5o0aaKkpCR3l1XiHDlyRIMHD1ZQUJC8vLxUo0YNjRw5UidPnnT02b9/vx599FEFBQWpXLlyqlatmnr06KF9+/Y5nWv9+vV68MEHHfe8QYMGGjNmjH799dcbfVk3HAEY+WRmZqpx48aaPXu2u0sp9TZs2KDIyEht3rxZCQkJunDhgjp27KjMzEx3l1bqVKtWTZMnT9bWrVu1detW3X///erRo4d27drl7tJKrcTERM2bN0+NGjVydymlVsOGDXX8+HHHZ8eOHe4uqVRKS0tTmzZt5Onpqc8//1y7d+/WtGnTTPsG1ivZv3+/WrRooX379mnp0qX65Zdf9Pbbb+vLL79Uq1atdOrUKWVnZ6tDhw7KyMjQihUrtHfvXi1fvlwhISFKT093nOudd95R+/btZbfb9a9//Uu7d+/W22+/rfT0dE2bNs2NV3mDGMBVSDLi4+PdXcZNIzU11ZBkbNiwwd2l3BQqVqxovPfee+4uo1Q6c+aMUadOHSMhIcEICwszRo4c6e6SSp1JkyYZjRs3dncZN4XnnnvOuOeee9xdRon3wAMPGNWqVTPOnTvn1H78+HHDx8fHeOaZZ4zt27cbkoyDBw9e8TxHjhwxvLy8jKioqAL3p6WlubLsEokRYOAGyvvXt7+/v5srKd1yc3O1bNkyZWZmqlWrVu4up1SKjIxUly5d1L59e3eXUqr9/PPPCgoKUq1atfTII49o//797i6pVFq5cqVatGihhx9+WFWqVFHTpk317rvvurusEuXUqVNau3athg4dKm9vb6d9drtd/fr10/Lly1W5cmWVKVNGn3zyiXJzcws818cff6zs7GyNGzeuwP1mGHknAAM3iGEYGj16tO655x6FhIS4u5xSaceOHapQoYKsVqueeeYZxcfHq0GDBu4uq9RZtmyZtm3bptjYWHeXUqq1bNlSCxcu1Nq1a/Xuu+8qJSVFrVu3dpqLicLZv3+/5s6dqzp16mjt2rV65plnNGLECC1cuNDdpZUYP//8swzDUP369QvcX79+faWlpcnT01NvvvmmXnzxRVWsWFH333+//vnPfzr94+znn3+Wn5+fqlateqPKL3EIwMANMmzYMP34449aunSpu0spterWravk5GRt3rxZf//73zVw4EDt3r3b3WWVKkeOHNHIkSO1aNEilStXzt3llGqdO3fWQw89pNDQULVv316fffaZJGnBggVurqz0uXjxopo1a6aYmBg1bdpUQ4YM0VNPPaW5c+e6u7RSw/j/L/a1WCyKjIxUSkqKFi1apFatWunjjz9Ww4YNlZCQ4OhrsVjcWa7bEYCBG2D48OFauXKl1q9fr2rVqrm7nFLLy8tLt99+u1q0aKHY2Fg1btxYb7zxhrvLKlWSkpKUmpqq5s2bq2zZsipbtqw2bNigN998U2XLlr3in0xxbeXLl1doaKh+/vlnd5dS6lStWjXfX3Pq16+vw4cPu6mikuf222+XxWK54j/6f/rpJ1WsWFGVKlWSJPn6+qp79+569dVX9cMPP+jee+/VK6+8Ikm64447lJ6eruPHj9+w+ksaAjBQjAzD0LBhw7RixQp99dVXqlWrlrtLuqkYhqGsrCx3l1GqhIeHa8eOHUpOTnZ8WrRooX79+ik5OVkeHh7uLrHUysrK0p49e0z9Z+Xr1aZNm3xLRO7bt081atRwU0UlT0BAgDp06KA5c+bo/PnzTvtSUlK0ePFi9enTp8CRXYvFonr16jlWIOrdu7e8vLw0derUAr/r9OnTLq+/pCnr7gJQ8pw9e1a//PKLY/vAgQNKTk6Wv7+/qlev7sbKSp/IyEgtWbJE//73v+Xr66uUlBRJks1my/cQA65u4sSJ6ty5s4KDg3XmzBktW7ZMX3/9tdasWePu0koVX1/ffHPQy5cvr4CAAOamF9HYsWPVrVs3Va9eXampqXrllVeUkZGhgQMHuru0UmfUqFFq3bq1YmJiFBERoS1btmjevHmaN2+eu0srUWbPnq3WrVurU6dOeuWVV1SrVi3t2rVLzz77rG699Va9+uqrSk5O1qRJk9S/f381aNBAXl5e2rBhgz744AM999xzkqTg4GDNmDFDw4YNU0ZGhgYMGKCaNWvq6NGjWrhwoSpUqHDzL4XmziUoUDKtX7/ekJTvM3DgQHeXVuoUdB8lGfPnz3d3aaXOE088YdSoUcPw8vIyKleubISHhxvr1q1zd1k3BZZBuz59+vQxqlatanh6ehpBQUFGr169jF27drm7rFLrP//5jxESEmJYrVajXr16xrx589xdUol08OBBY9CgQYbdbjc8PT2N4OBgY/jw4cbvv/9uGIZhnDhxwhgxYoQREhJiVKhQwfD19TVCQ0ON119/3cjNzXU6V0JCgtGpUyejYsWKRrly5Yx69eoZY8eONY4dO+aOS7uhLIbx/2dNAwAAACbAHGAAAACYCgEYAAAApkIABgAAgKkQgAEAAGAqBGAAAACYCgEYAAAApkIABgAAgKkQgAEAAGAqBGAAAACYCgEYAAAApkIABgAAgKkQgAEAAGAq/w80XH8syMpGQwAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<Figure size 800x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(8,4))\n",
+    "plt.bar(DUI_count_zone['INCIDENTZONE'],\n",
+    "        DUI_count_zone['DUI_count'],\n",
+    "        0.8)\n",
+    "plt.title('DUIs by Zone in Pittsburgh')\n",
+    "plt.ylabel('Number of DUIs')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "id": "ba73c51e-0c68-4c2f-a50e-56a10760de46",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "property_df = arrest_pitt_df['OFFENSES'].str.contains(\"Property\", na=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "id": "d3eddaf3-e460-4a3d-b3f6-370454d6bacc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Create bar graph on Property Crime by Zone\n",
+    "property_count_zone = arrest_pitt_df[property_df].groupby(['INCIDENTZONE']).\\\n",
+    "aggregate(property_count = ('OFFENSES', 'count')).\\\n",
+    "reset_index()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "id": "db48cdf9-45f6-49cd-a88f-98e35c361863",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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lof0CAwN18uTJfO15Fype/vm6mrz+s2bNKnQ1h8KClzOVKVPmqt8/R+nevbu6d++uzMxM7dixQ3FxcerTp49q1Khh87Mo7Lv6189B2bJlC7zQr7C1pC//LlSoUEEWi8X6i8nl7wWUdkyBAP6hIiMjde7cOa1Zs8am/e2337Zu/6tPP/3U5h+73NxcrVy5UjVr1rQGyq5du2rfvn2qWbOmmjdvnu9xeQAuyNXOvjVr1kytWrXStGnT9M4772jAgAFFOus3fvx4GWM0ePBgZWVl5duenZ2ttWvXXnU/ztC1a1cZY/Trr78WOG4RERFF2s8777xj8/zdd99VTk5Ovqv9H3nkEXl6eqpv37768ccfi3yDgjfffFPz5s3TwIEDrdNRChMZGanPPvss38ocb7/9tnx8fOxekqx169a64YYb9P333xc4Rs2bN7f5U3xJdqXPeFHOPnt5ealNmzaaNm2aJOVb4WH58uUyxlifHzlyRNu2bbP5HNSoUUMHDx60WfHl9OnT2rZtW5GOwdfXV82bN9eaNWtsvk/nzp1jZQf8I3AGGPiH6t+/v1577TVFRUXp8OHDioiI0NatWzVlyhTdc889at++vU3/ihUr6q677tIzzzwjX19fzZkzRz/88IPNUmiTJ09WfHy8WrVqpejoaNWuXVsXL17U4cOH9fHHH+v111+/6tnXmjVrytvbW++8847q1q2rcuXKKSQkxCY8jxw5Ur169ZLFYtHQoUOLdLwtW7bU3LlzNXToUDVr1kyPP/646tevr+zsbH399deaN2+eGjRoUOj8RWdq3bq1Hn30UQ0cOFC7d+/WnXfeKV9fX508eVJbt25VRETEVQOnJK1atUru7u7q0KGD9u/fr2eeeUaNGjVSz549bfrdcMMN6t+/v+bOnauwsLAiHfPOnTs1fPhwBQcHq3///tqxY0eB/WrWrKlKlSpp4sSJ1jnhzz77rAICAvTOO+9o3bp1mj59uvz9/Ys2OP9fuXLlNGvWLEVFRenMmTN64IEHVLlyZZ06dUrffPONTp06pblz59q1z+Jypc943i8706ZNU+fOneXm5qaGDRvq+eef1/HjxxUZGalq1arpjz/+0CuvvCIPDw+1adPGZv8pKSn6v//7Pw0ePFhpaWmaOHGiypYtq/Hjx1v79OvXT2+88YYeeughDR48WKdPn9b06dPtmr4xefJkdenSRZ06ddLIkSOVm5urF198UeXKlSvyXRWBEqs4r8ADULjClkG7XGFLNRljzOnTp81jjz1mqlSpYtzd3U1YWJgZP368uXjxok0/SWbYsGFmzpw5pmbNmsbDw8PUqVPHvPPOO/n2eerUKRMdHW3Cw8ONh4eHCQgIMM2aNTMTJkww586dM8b878ryF198scC6li9fburUqWM8PDyMJDNx4kSb7ZmZmcbLy8vcfffdVzz2giQmJpqoqChTvXp14+npaV0q7NlnnzUpKSnWfmFhYaZLly4F7qOwVSD+uiScMYX/jPJWHzh16pRN+1tvvWVatGhhfH19jbe3t6lZs6bp37+/2b179xWPKW9/e/bsMffee68pV66c8fPzMw8++KDNihl/tWXLFiPJTJ069Yr7vvw9rvb468oG3333nbn33nuNv7+/8fT0NI0aNcq38kFhY1fQqg3GGJOQkGC6dOliAgICjIeHh6latarp0qVLvtdf7kqrQFz+c8j7uSUlJV1xn1f6bv3V5Z8XYwr/jGdmZppHHnnEVKpUyVgsFmsdH330kencubOpWrWq8fT0NJUrVzb33HOP+eKLL6z7zBvLJUuWmOjoaFOpUiXj5eVl7rjjjgI/Q4sXLzZ169Y1ZcuWNfXq1TMrV64sdBWIwr6rq1evNhEREcbT09NUr17dTJ061URHR5sKFSrY9Mv7f0hRxgYoCSzG/OXvKABcksVi0bBhwzR79uziLkWStHbtWnXr1k3r1q3TPffcU9zllEpjxozR3LlzdezYsQIvTgKuRXZ2tho3bqyqVatq48aNxV0OcM2YAgGgxPj+++915MgRjRkzRo0bN7Yur4ai27Fjhw4ePKg5c+ZoyJAhhF/8LYMGDVKHDh1UpUoVJScn6/XXX9eBAwf0yiuvFHdpwN9CAAZQYgwdOlRffvmlmjZtqsWLF1+3VRr+SVq2bCkfHx917dpVzz//fHGXg1Lu7NmzGjt2rE6dOiUPDw81bdpUH3/8cb5rCIDShikQAAAAcCksgwYAAACXQgAGAACASyEAAwAAwKVwEVwRXbp0SSdOnJCfnx8X5gAAAJRAxhidPXtWISEhKlOm8PO8BOAiOnHihEJDQ4u7DAAAAFzFsWPHrnhnUgJwEfn5+Un6c0DtuZUkAAAAro/09HSFhoZac1thCMBFlDftoXz58gRgAACAEuxq01WL9SK4zz//XPfee69CQkJksVi0Zs0a67bs7Gw9+eSTioiIkK+vr0JCQtS/f3+dOHHCZh+ZmZkaMWKEKlasKF9fX3Xr1k3Hjx+36ZOamqp+/frJ399f/v7+6tevn/7444/rcIQAAAAoaYo1AJ8/f16NGjXS7Nmz8227cOGC9u7dq2eeeUZ79+7VqlWrdPDgQXXr1s2mX0xMjFavXq0VK1Zo69atOnfunLp27arc3Fxrnz59+igxMVHr16/X+vXrlZiYqH79+jn9+AAAAFDylJg7wVksFq1evVr33XdfoX127dqlW2+9VUeOHFH16tWVlpamSpUqacmSJerVq5ek/12s9vHHH6tTp046cOCA6tWrpx07dqhFixaSpB07dqhly5b64YcfVLt27SLVl56eLn9/f6WlpTEFAgAAoAQqal4rVesAp6WlyWKx6IYbbpAk7dmzR9nZ2erYsaO1T0hIiBo0aKBt27ZJkrZv3y5/f39r+JWk2267Tf7+/tY+AAAAcB2l5iK4ixcv6qmnnlKfPn2siT45OVmenp6qUKGCTd+goCAlJydb+1SuXDnf/ipXrmztU5DMzExlZmZan6enpzviMAAAAFDMSsUZ4OzsbPXu3VuXLl3SnDlzrtrfGGNz9V9BVwJe3udycXFx1ovm/P39WQMYAADgH6LEB+Ds7Gz17NlTSUlJio+Pt5nPERwcrKysLKWmptq8JiUlRUFBQdY+v/32W779njp1ytqnIOPHj1daWpr1cezYMQcdEQAAAIpTiQ7AeeH3p59+0qZNmxQYGGizvVmzZvLw8FB8fLy17eTJk9q3b59atWolSWrZsqXS0tK0c+dOa5+vvvpKaWlp1j4F8fLysq75y9q/AAAA/xzFOgf43LlzOnTokPV5UlKSEhMTFRAQoJCQED3wwAPau3evPvroI+Xm5lrn7AYEBMjT01P+/v4aNGiQxowZo8DAQAUEBGjs2LGKiIhQ+/btJUl169bV3XffrcGDB+uNN96QJD366KPq2rVrkVeAAAAAwD9HsS6DtmXLFrVr1y5fe1RUlGJjYxUeHl7g6zZv3qy2bdtK+vPiuCeeeELLli1TRkaGIiMjNWfOHJs5u2fOnFF0dLQ+/PBDSVK3bt00e/Zs62oSRcEyaAAAACVbUfNaiVkHuKQjAAMAAJRs/8h1gAEAAIC/q9SsAwygZKjx1LriLqFEODy1S3GXAAC4RpwBBgAAgEshAAMAAMClEIABAADgUgjAAAAAcCkEYAAAALgUAjAAAABcCgEYAAAALoUADAAAAJdCAAYAAIBLIQADAADApRCAAQAA4FIIwAAAAHApBGAAAAC4FAIwAAAAXAoBGAAAAC6FAAwAAACXQgAGAACASyEAAwAAwKUQgAEAAOBSCMAAAABwKQRgAAAAuBQCMAAAAFwKARgAAAAuhQAMAAAAl0IABgAAgEshAAMAAMClEIABAADgUgjAAAAAcCnuxV0AAAB/V42n1hV3CSXC4aldirsEoFTgDDAAAABcCgEYAAAALoUADAAAAJdCAAYAAIBLIQADAADApRCAAQAA4FIIwAAAAHApBGAAAAC4lGINwJ9//rnuvfdehYSEyGKxaM2aNTbbjTGKjY1VSEiIvL291bZtW+3fv9+mT2ZmpkaMGKGKFSvK19dX3bp10/Hjx236pKamql+/fvL395e/v7/69eunP/74w8lHBwAAgJKoWAPw+fPn1ahRI82ePbvA7dOnT9eMGTM0e/Zs7dq1S8HBwerQoYPOnj1r7RMTE6PVq1drxYoV2rp1q86dO6euXbsqNzfX2qdPnz5KTEzU+vXrtX79eiUmJqpfv35OPz4AAACUPMV6K+TOnTurc+fOBW4zxmjmzJmaMGGCevToIUlavHixgoKCtGzZMg0ZMkRpaWlasGCBlixZovbt20uSli5dqtDQUG3atEmdOnXSgQMHtH79eu3YsUMtWrSQJM2fP18tW7bUjz/+qNq1a1+fgwUAAECJUGLnACclJSk5OVkdO3a0tnl5ealNmzbatm2bJGnPnj3Kzs626RMSEqIGDRpY+2zfvl3+/v7W8CtJt912m/z9/a19AAAA4DqK9QzwlSQnJ0uSgoKCbNqDgoJ05MgRax9PT09VqFAhX5+81ycnJ6ty5cr59l+5cmVrn4JkZmYqMzPT+jw9Pf3aDuRvqPHUuuv+niXR4aldirsEAADwD1JizwDnsVgsNs+NMfnaLnd5n4L6X20/cXFx1ovm/P39FRoaamflAAAAKIlKbAAODg6WpHxnaVNSUqxnhYODg5WVlaXU1NQr9vntt9/y7f/UqVP5zi7/1fjx45WWlmZ9HDt27G8dDwAAAEqGvx2A09PTtWbNGh04cMAR9ViFh4crODhY8fHx1rasrCwlJCSoVatWkqRmzZrJw8PDps/Jkye1b98+a5+WLVsqLS1NO3futPb56quvlJaWZu1TEC8vL5UvX97mAQAAgNLP7jnAPXv21J133qnhw4crIyNDzZs31+HDh2WM0YoVK3T//fcXeV/nzp3ToUOHrM+TkpKUmJiogIAAVa9eXTExMZoyZYpq1aqlWrVqacqUKfLx8VGfPn0kSf7+/ho0aJDGjBmjwMBABQQEaOzYsYqIiLCuClG3bl3dfffdGjx4sN544w1J0qOPPqquXbuyAgQAAIALsjsAf/7555owYYIkafXq1TLG6I8//tDixYv1/PPP2xWAd+/erXbt2lmfjx49WpIUFRWlRYsWady4ccrIyNDQoUOVmpqqFi1aaOPGjfLz87O+5uWXX5a7u7t69uypjIwMRUZGatGiRXJzc7P2eeeddxQdHW1dLaJbt26Frj0MAACAfzaLMcbY8wJvb28dPHhQoaGh6t+/v0JCQjR16lQdPXpU9erV07lz55xVa7FKT0+Xv7+/0tLSrtt0CFaB+BOrQJQsfC7/xOeyZOFz+Sc+l3B1Rc1rds8BDg0N1fbt23X+/HmtX7/eelY1NTVVZcuWvfaKAQAAgOvA7ikQMTEx6tu3r8qVK6fq1aurbdu2kv6cGhEREeHo+gAAAACHsjsADx06VLfeequOHTumDh06qEyZP08i33jjjXr++ecdXiAAAADgSNd0J7jmzZurYcOGSkpKUs2aNeXu7q4uXZh3BAAAgJLP7jnAFy5c0KBBg+Tj46P69evr6NGjkqTo6GhNnTrV4QUCAAAAjmR3AB4/fry++eYbbdmyxeait/bt22vlypUOLQ4AAABwNLunQKxZs0YrV67UbbfdJovFYm2vV6+efv75Z4cWBwAAADia3WeAT506pcqVK+drP3/+vE0gBgAAAEoiuwPwLbfconXr/rfgeF7onT9/vlq2bOm4ygAAAAAnsHsKRFxcnO6++259//33ysnJ0SuvvKL9+/dr+/btSkhIcEaNAAAAgMPYfQa4VatW+vLLL3XhwgXVrFlTGzduVFBQkLZv365mzZo5o0YAAADAYa5pHeCIiAgtXrzY0bUAAAAATndNAViSUlJSlJKSokuXLtm0N2zY8G8XBQAAADiL3QF4z549ioqK0oEDB2SMsdlmsViUm5vrsOIAAAAAR7M7AA8cOFA333yzFixYoKCgIJY+AwAAQKlidwBOSkrSqlWrdNNNNzmjHgAAAMCp7F4FIjIyUt98840zagEAAACczu4zwG+++aaioqK0b98+NWjQQB4eHjbbu3Xr5rDiAAAAAEezOwBv27ZNW7du1SeffJJvGxfBAQAAoKSzewpEdHS0+vXrp5MnT+rSpUs2D8IvAAAASjq7A/Dp06c1atQoBQUFOaMeAAAAwKnsDsA9evTQ5s2bnVELAAAA4HR2zwG++eabNX78eG3dulURERH5LoKLjo52WHEAAACAo13TKhDlypVTQkKCEhISbLZZLBYCMAAAAEq0a7oRBgAAAFBa2T0HGAAAACjNinQGePTo0Xruuefk6+ur0aNHX7HvjBkzHFIY4Eg1nlpX3CWUCIendinuEgAAKHZFCsBff/21srOzJUl79+6VxWIpsF9h7QAAAEBJUaQA/Ndlz7Zs2eKsWgAAAACns2sOcE5Ojtzd3bVv3z5n1QMAAAA4lV0B2N3dXWFhYdzyGAAAAKWW3atAPP300xo/frzOnDnjjHoAAAAAp7J7HeBXX31Vhw4dUkhIiMLCwuTr62uzfe/evQ4rDgAAAHA0uwPwfffd54QyAAAAgOvD7gA8ceJEZ9QBAAAAXBdFngOcmpqqWbNmKT09Pd+2tLS0QrcBAAAAJUmRA/Ds2bP1+eefq3z58vm2+fv764svvtCsWbMcWhwAAADgaEUOwP/973/12GOPFbp9yJAhev/99x1SFAAAAOAsRQ7AP//8s2rVqlXo9lq1aunnn392SFEAAACAsxQ5ALu5uenEiROFbj9x4oTKlLF7WeErysnJ0dNPP63w8HB5e3vrxhtv1OTJk3Xp0iVrH2OMYmNjFRISIm9vb7Vt21b79++32U9mZqZGjBihihUrytfXV926ddPx48cdWisAAABKhyIn1iZNmmjNmjWFbl+9erWaNGniiJqspk2bptdff12zZ8/WgQMHNH36dL344os2c42nT5+uGTNmaPbs2dq1a5eCg4PVoUMHnT171tonJiZGq1ev1ooVK7R161adO3dOXbt25Y52AAAALqjIy6ANHz5cvXv3VrVq1fT444/Lzc1NkpSbm6s5c+bo5Zdf1rJlyxxa3Pbt29W9e3d16dJFklSjRg0tX75cu3fvlvTn2d+ZM2dqwoQJ6tGjhyRp8eLFCgoK0rJlyzRkyBClpaVpwYIFWrJkidq3by9JWrp0qUJDQ7Vp0yZ16tTJoTUDAACgZCvyGeD7779f48aNU3R0tAICAtSkSRM1bdpUAQEBiomJ0ejRo/XAAw84tLjbb79dn376qQ4ePChJ+uabb7R161bdc889kqSkpCQlJyerY8eO1td4eXmpTZs22rZtmyRpz549ys7OtukTEhKiBg0aWPsAAADAddh1I4wXXnhB3bt31zvvvKNDhw7JGKM777xTffr00a233urw4p588kmlpaWpTp06cnNzU25url544QU9+OCDkqTk5GRJUlBQkM3rgoKCdOTIEWsfT09PVahQIV+fvNcXJDMzU5mZmdbnrHEMAADwz2D3neBuvfVWp4TdgqxcuVJLly7VsmXLVL9+fSUmJiomJkYhISGKioqy9rNYLDavM8bka7vc1frExcVp0qRJf+8AAAAAUOI4dtkGB3viiSf01FNPqXfv3oqIiFC/fv00atQoxcXFSZKCg4MlKd+Z3JSUFOtZ4eDgYGVlZSk1NbXQPgUZP3680tLSrI9jx4458tAAAABQTEp0AL5w4UK+pdXc3Nysy6CFh4crODhY8fHx1u1ZWVlKSEhQq1atJEnNmjWTh4eHTZ+TJ09q37591j4F8fLyUvny5W0eAAAAKP3sngJxPd1777164YUXVL16ddWvX19ff/21ZsyYoYcffljSn1MfYmJiNGXKFNWqVUu1atXSlClT5OPjoz59+kj68zbNgwYN0pgxYxQYGKiAgACNHTtWERER1lUhAAAA4DpKdACeNWuWnnnmGQ0dOlQpKSkKCQnRkCFD9Oyzz1r7jBs3ThkZGRo6dKhSU1PVokULbdy4UX5+ftY+L7/8stzd3dWzZ09lZGQoMjJSixYtsi7lBgAAANdhdwCOjY3VwIEDFRYW5ox6bPj5+WnmzJmaOXNmoX0sFotiY2MVGxtbaJ+yZctq1qxZNjfQAAAAgGuyew7w2rVrVbNmTUVGRmrZsmW6ePGiM+oCAAAAnMLuALxnzx7t3btXDRs21KhRo1SlShU9/vjj2rVrlzPqAwAAABzqmuYAN2zYUC+//LJefPFFrV27VgsXLlTr1q1Vu3ZtPfLIIxowYID8/f0dXSsA/KPUeGpdcZdQIhye2qW4SwDgYv7WMmiXLl1SVlaWMjMzZYxRQECA5s6dq9DQUK1cudJRNQIAAAAOc00BeM+ePRo+fLiqVKmiUaNGqUmTJjpw4IASEhL0ww8/aOLEiYqOjnZ0rQAAAMDfZncAbtiwoW677TYlJSVpwYIFOnbsmKZOnaqbbrrJ2qd///46deqUQwsFAAAAHMHuOcD/+te/9PDDD6tq1aqF9qlUqZL1bm0AAABASWL3GWBjjCpUqJCvPSMjQ5MnT3ZIUQAAAICz2B2AJ02apHPnzuVrv3DhgiZNmuSQogAAAABnuaYzwBaLJV/7N998o4CAAIcUBQAAADhLkecAV6hQQRaLRRaLRTfffLNNCM7NzdW5c+f02GOPOaVIAAAAwFGKHIBnzpwpY4wefvhhTZo0yeZGF56enqpRo4ZatmzplCIBAAAARylyAI6KilJOTo4kqX379qpWrZrTigIAAACcxa45wO7u7ho6dKhyc3OdVQ8AAADgVHZfBNeiRQt9/fXXzqgFAAAAcDq7b4QxdOhQjRkzRsePH1ezZs3k6+trs71hw4YOKw4AAABwNLsDcK9evSRJ0dHR1jaLxWJdHo3pEQAAACjJ7A7ASUlJzqgDAAAAuC7sDsBhYWHOqAMAAAC4Luy+CE6SlixZotatWyskJERHjhyR9Oc6wR988IFDiwMAAAAcze4APHfuXI0ePVr33HOP/vjjD+uc3xtuuEEzZ850dH0AAACAQ9kdgGfNmqX58+drwoQJcnNzs7Y3b95c3333nUOLAwAAABzN7gCclJSkJk2a5Gv38vLS+fPnHVIUAAAA4Cx2B+Dw8HAlJibma//kk09Ur149R9QEAAAAOI3dq0A88cQTGjZsmC5evChjjHbu3Knly5crLi5Ob775pjNqBAAAABzG7gA8cOBA5eTkaNy4cbpw4YL69OmjqlWr6pVXXlHv3r2dUSMAAADgMHYHYEkaPHiwBg8erN9//12XLl1S5cqVHV0XAAAA4BTXFIAlKSUlRT/++KMsFossFosqVarkyLoAAAAAp7D7Irj09HT169dPISEhatOmje68806FhITooYceUlpamjNqBAAAABzG7gD8yCOP6KuvvtK6dev0xx9/KC0tTR999JF2796twYMHO6NGAAAAwGHsngKxbt06bdiwQbfffru1rVOnTpo/f77uvvtuhxYHAAAAOJrdZ4ADAwPl7++fr93f318VKlRwSFEAAACAs9gdgJ9++mmNHj1aJ0+etLYlJyfriSee0DPPPOPQ4gAAAABHs3sKxNy5c3Xo0CGFhYWpevXqkqSjR4/Ky8tLp06d0htvvGHtu3fvXsdVCgAAADiA3QH4vvvuc0IZAAAAwPVhdwCeOHGiM+oAAAAArotrvhHGnj17dODAAVksFtWrV09NmjRxZF0AAACAU9gdgFNSUtS7d29t2bJFN9xwg4wxSktLU7t27bRixQruCAcAAIASze5VIEaMGKH09HTt379fZ86cUWpqqvbt26f09HRFR0c7o0YAAADAYew+A7x+/Xpt2rRJdevWtbbVq1dPr732mjp27OjQ4gAAAABHs/sM8KVLl+Th4ZGv3cPDQ5cuXXJIUX/166+/6qGHHlJgYKB8fHzUuHFj7dmzx7rdGKPY2FiFhITI29tbbdu21f79+232kZmZqREjRqhixYry9fVVt27ddPz4cYfXCgAAgJLP7gB81113aeTIkTpx4oS17ddff9WoUaMUGRnp0OJSU1PVunVreXh46JNPPtH333+vl156STfccIO1z/Tp0zVjxgzNnj1bu3btUnBwsDp06KCzZ89a+8TExGj16tVasWKFtm7dqnPnzqlr167Kzc11aL0AAAAo+eyeAjF79mx1795dNWrUUGhoqCwWi44ePaqIiAgtXbrUocVNmzZNoaGhWrhwobWtRo0a1v82xmjmzJmaMGGCevToIUlavHixgoKCtGzZMg0ZMkRpaWlasGCBlixZovbt20uSli5dqtDQUG3atEmdOnVyaM0AAAAo2ew+AxwaGqq9e/dq3bp1iomJUXR0tD7++GPt2bNH1apVc2hxH374oZo3b65//etfqly5spo0aaL58+dbtyclJSk5Odlm7rGXl5fatGmjbdu2Sfpzubbs7GybPiEhIWrQoIG1T0EyMzOVnp5u8wAAAEDpZ9cZ4JycHJUtW1aJiYnq0KGDOnTo4Ky6JEm//PKL5s6dq9GjR+vf//63du7cqejoaHl5eal///5KTk6WJAUFBdm8LigoSEeOHJEkJScny9PTUxUqVMjXJ+/1BYmLi9OkSZMcfEQAAAAobnadAXZ3d1dYWNh1mzt76dIlNW3aVFOmTFGTJk00ZMgQDR48WHPnzrXpZ7FYbJ4bY/K1Xe5qfcaPH6+0tDTr49ixY9d+IAAAACgx7J4C8fTTT2v8+PE6c+aMM+qxUaVKFdWrV8+mrW7dujp69KgkKTg4WJLynclNSUmxnhUODg5WVlaWUlNTC+1TEC8vL5UvX97mAQAAgNLP7ovgXn31VR06dEghISEKCwuTr6+vzfa9e/c6rLjWrVvrxx9/tGk7ePCgwsLCJEnh4eEKDg5WfHy89VbMWVlZSkhI0LRp0yRJzZo1k4eHh+Lj49WzZ09J0smTJ7Vv3z5Nnz7dYbUCAFDa1XhqXXGXUGIcntqluEuAE9kdgLt3737V6QWOMmrUKLVq1UpTpkxRz549tXPnTs2bN0/z5s2T9OfUh5iYGE2ZMkW1atVSrVq1NGXKFPn4+KhPnz6SJH9/fw0aNEhjxoxRYGCgAgICNHbsWEVERFhXhQAAAIDrsDsAx8bGOqGMgt1yyy1avXq1xo8fr8mTJys8PFwzZ85U3759rX3GjRunjIwMDR06VKmpqWrRooU2btwoPz8/a5+XX35Z7u7u6tmzpzIyMhQZGalFixbJzc3tuh0LAAAASoYiB+ALFy7oiSee0Jo1a5Sdna327dvr1VdfVcWKFZ1Zn7p27aquXbsWut1isSg2NvaKwbxs2bKaNWuWZs2a5YQKAQAAUJoU+SK4iRMnatGiRerSpYt69+6t+Ph4Pf74486sDQAAAHC4Ip8BXrVqlRYsWKDevXtLkh566CG1bt1aubm5TCUAAABAqVHkM8DHjh3THXfcYX1+6623yt3dXSdOnHBKYQAAAIAzFDkA5+bmytPT06bN3d1dOTk5Di8KAAAAcJYiT4EwxmjAgAHy8vKytl28eFGPPfaYzVrAq1atcmyFAAAAgAMVOQBHRUXla3vooYccWgwAAADgbEUOwAsXLnRmHQAAAMB1UeQ5wAAAAMA/AQEYAAAALoUADAAAAJdCAAYAAIBLKVIAbtq0qVJTUyVJkydP1oULF5xaFAAAAOAsRQrABw4c0Pnz5yVJkyZN0rlz55xaFAAAAOAsRVoGrXHjxho4cKBuv/12GWP0n//8R+XKlSuw77PPPuvQAgEAAABHKlIAXrRokSZOnKiPPvpIFotFn3zyidzd87/UYrEQgAEAAFCiFSkA165dWytWrJAklSlTRp9++qkqV67s1MIAAAAAZyjyneDyXLp0yRl1AAAAANeF3QFYkn7++WfNnDlTBw4ckMViUd26dTVy5EjVrFnT0fUBAAAADmX3OsAbNmxQvXr1tHPnTjVs2FANGjTQV199pfr16ys+Pt4ZNQIAAAAOY/cZ4KeeekqjRo3S1KlT87U/+eST6tChg8OKAwAAABzN7jPABw4c0KBBg/K1P/zww/r+++8dUhQAAADgLHYH4EqVKikxMTFfe2JiIitDAAAAoMSzewrE4MGD9eijj+qXX35Rq1atZLFYtHXrVk2bNk1jxoxxRo0AAACAw9gdgJ955hn5+fnppZde0vjx4yVJISEhio2NVXR0tMMLBAAAABzJ7gBssVg0atQojRo1SmfPnpUk+fn5ObwwAAAAwBmuaR3gPARfAAAAlDZ2XwQHAAAAlGYEYAAAALgUAjAAAABcil0BODs7W+3atdPBgwedVQ8AAADgVHYFYA8PD+3bt08Wi8VZ9QAAAABOZfcUiP79+2vBggXOqAUAAABwOruXQcvKytKbb76p+Ph4NW/eXL6+vjbbZ8yY4bDiAAAAAEezOwDv27dPTZs2laR8c4GZGgEAAICSzu4AvHnzZmfUAQAAAFwX17wM2qFDh7RhwwZlZGRIkowxDisKAAAAcBa7A/Dp06cVGRmpm2++Wffcc49OnjwpSXrkkUc0ZswYhxcIAAAAOJLdAXjUqFHy8PDQ0aNH5ePjY23v1auX1q9f79DiAAAAAEezew7wxo0btWHDBlWrVs2mvVatWjpy5IjDCgMAAACcwe4zwOfPn7c585vn999/l5eXl0OKKkxcXJwsFotiYmKsbcYYxcbGKiQkRN7e3mrbtq32799v87rMzEyNGDFCFStWlK+vr7p166bjx487tVYAAACUTHYH4DvvvFNvv/229bnFYtGlS5f04osvql27dg4t7q927dqlefPmqWHDhjbt06dP14wZMzR79mzt2rVLwcHB6tChg86ePWvtExMTo9WrV2vFihXaunWrzp07p65duyo3N9dp9QIAAKBksnsKxIsvvqi2bdtq9+7dysrK0rhx47R//36dOXNGX375pTNq1Llz59S3b1/Nnz9fzz//vLXdGKOZM2dqwoQJ6tGjhyRp8eLFCgoK0rJlyzRkyBClpaVpwYIFWrJkidq3by9JWrp0qUJDQ7Vp0yZ16tTJKTUDAACgZLL7DHC9evX07bff6tZbb1WHDh10/vx59ejRQ19//bVq1qzpjBo1bNgwdenSxRpg8yQlJSk5OVkdO3a0tnl5ealNmzbatm2bJGnPnj3Kzs626RMSEqIGDRpY+xQkMzNT6enpNg8AAACUfnafAZak4OBgTZo0ydG1FGjFihXau3evdu3alW9bcnKyJCkoKMimPSgoyHpBXnJysjw9PVWhQoV8ffJeX5C4uLjrdowAAAC4fq4pAKempmrBggU6cOCALBaL6tatq4EDByogIMChxR07dkwjR47Uxo0bVbZs2UL7XX4LZmPMVW/LfLU+48eP1+jRo63P09PTFRoaWsTKAQAAUFLZPQUiISFB4eHhevXVV5WamqozZ87o1VdfVXh4uBISEhxa3J49e5SSkqJmzZrJ3d1d7u7uSkhI0Kuvvip3d3frmd/Lz+SmpKRYtwUHBysrK0upqamF9imIl5eXypcvb/MAAABA6Wd3AB42bJh69uyppKQkrVq1SqtWrdIvv/yi3r17a9iwYQ4tLjIyUt99950SExOtj+bNm6tv375KTEzUjTfeqODgYMXHx1tfk5WVpYSEBLVq1UqS1KxZM3l4eNj0OXnypPbt22ftAwAAANdh9xSIn3/+Wf/973/l5uZmbXNzc9Po0aNtlkdzBD8/PzVo0MCmzdfXV4GBgdb2mJgYTZkyRbVq1VKtWrU0ZcoU+fj4qE+fPpIkf39/DRo0SGPGjFFgYKACAgI0duxYRURE5LuoDgAAAP98dgfgpk2b6sCBA6pdu7ZN+4EDB9S4cWNH1VVk48aNU0ZGhoYOHarU1FS1aNFCGzdulJ+fn7XPyy+/LHd3d/Xs2VMZGRmKjIzUokWLbEI8AAAAXEORAvC3335r/e/o6GiNHDlShw4d0m233SZJ2rFjh1577TVNnTrVOVX+xZYtW2yeWywWxcbGKjY2ttDXlC1bVrNmzdKsWbOcWxwAAABKvCIF4MaNG8tiscgYY20bN25cvn59+vRRr169HFcdAAAA4GBFCsBJSUnOrgMAAAC4LooUgMPCwpxdBwAAAHBdXNONMH799Vd9+eWXSklJ0aVLl2y2RUdHO6QwAAAAwBnsDsALFy7UY489Jk9PTwUGBtrcTc1isRCAAQAAUKLZHYCfffZZPfvssxo/frzKlLH7PhoAAABAsbI7wV64cEG9e/cm/AIAAKBUsjvFDho0SO+9954zagEAAACczu4pEHFxceratavWr1+viIgIeXh42GyfMWOGw4oDAAAAHM3uADxlyhRt2LDBeivkyy+CAwAAAEoyuwPwjBkz9NZbb2nAgAFOKAcAAABwLrvnAHt5eal169bOqAUAAABwOrsD8MiRIzVr1ixn1AIAAAA4nd1TIHbu3KnPPvtMH330kerXr5/vIrhVq1Y5rDgAAADA0ewOwDfccIN69OjhjFoAAAAAp7umWyEDAAAApRW3cwMAAIBLsfsMcHh4+BXX+/3ll1/+VkEAAACAM9kdgGNiYmyeZ2dn6+uvv9b69ev1xBNPOKouAAAAwCnsDsAjR44ssP21117T7t27/3ZBAAAAgDM5bA5w586d9d///tdRuwMAAACcwmEB+P3331dAQICjdgcAAAA4hd1TIJo0aWJzEZwxRsnJyTp16pTmzJnj0OIAAAAAR7M7AN933302z8uUKaNKlSqpbdu2qlOnjqPqAgAAAJzC7gA8ceJEZ9QBAAAAXBfcCAMAAAAupchngMuUKXPFG2BIksViUU5Ozt8uCgAAAHCWIgfg1atXF7pt27ZtmjVrlowxDikKAAAAcJYiB+Du3bvna/vhhx80fvx4rV27Vn379tVzzz3n0OIAAAAAR7umOcAnTpzQ4MGD1bBhQ+Xk5CgxMVGLFy9W9erVHV0fAAAA4FB2BeC0tDQ9+eSTuummm7R//359+umnWrt2rRo0aOCs+gAAAACHKvIUiOnTp2vatGkKDg7W8uXLC5wSAQAAAJR0RQ7ATz31lLy9vXXTTTdp8eLFWrx4cYH9Vq1a5bDiAAAAAEcrcgDu37//VZdBAwAAAEq6IgfgRYsWObEMAAAA4PrgTnAAAABwKQRgAAAAuBQCMAAAAFwKARgAAAAupUQH4Li4ON1yyy3y8/NT5cqVdd999+nHH3+06WOMUWxsrEJCQuTt7a22bdtq//79Nn0yMzM1YsQIVaxYUb6+vurWrZuOHz9+PQ8FAAAAJUSJDsAJCQkaNmyYduzYofj4eOXk5Khjx446f/68tc/06dM1Y8YMzZ49W7t27VJwcLA6dOigs2fPWvvExMRo9erVWrFihbZu3apz586pa9euys3NLY7DAgAAQDEq8jJoxWH9+vU2zxcuXKjKlStrz549uvPOO2WM0cyZMzVhwgT16NFDkrR48WIFBQVp2bJlGjJkiNLS0rRgwQItWbJE7du3lyQtXbpUoaGh2rRpkzp16nTdjwsAAADFp0SfAb5cWlqaJCkgIECSlJSUpOTkZHXs2NHax8vLS23atNG2bdskSXv27FF2drZNn5CQEDVo0MDapyCZmZlKT0+3eQAAAKD0KzUB2Bij0aNH6/bbb1eDBg0kScnJyZKkoKAgm75BQUHWbcnJyfL09FSFChUK7VOQuLg4+fv7Wx+hoaGOPBwAAAAUk1ITgIcPH65vv/1Wy5cvz7ft8ls0G2Ouetvmq/UZP3680tLSrI9jx45dW+EAAAAoUUpFAB4xYoQ+/PBDbd68WdWqVbO2BwcHS1K+M7kpKSnWs8LBwcHKyspSampqoX0K4uXlpfLly9s8AAAAUPqV6ABsjNHw4cO1atUqffbZZwoPD7fZHh4eruDgYMXHx1vbsrKylJCQoFatWkmSmjVrJg8PD5s+J0+e1L59+6x9AAAA4DpK9CoQw4YN07Jly/TBBx/Iz8/PeqbX399f3t7eslgsiomJ0ZQpU1SrVi3VqlVLU6ZMkY+Pj/r06WPtO2jQII0ZM0aBgYEKCAjQ2LFjFRERYV0VAgAAwJFqPLWuuEsoMQ5P7VLcJeRTogPw3LlzJUlt27a1aV+4cKEGDBggSRo3bpwyMjI0dOhQpaamqkWLFtq4caP8/Pys/V9++WW5u7urZ8+eysjIUGRkpBYtWiQ3N7frdSgAAAAoIUp0ADbGXLWPxWJRbGysYmNjC+1TtmxZzZo1S7NmzXJgdQAAACiNSvQcYAAAAMDRCMAAAABwKQRgAAAAuBQCMAAAAFwKARgAAAAuhQAMAAAAl0IABgAAgEshAAMAAMClEIABAADgUgjAAAAAcCkEYAAAALgUAjAAAABcCgEYAAAALoUADAAAAJdCAAYAAIBLIQADAADApRCAAQAA4FIIwAAAAHApBGAAAAC4FAIwAAAAXAoBGAAAAC6FAAwAAACXQgAGAACASyEAAwAAwKUQgAEAAOBSCMAAAABwKQRgAAAAuBQCMAAAAFwKARgAAAAuhQAMAAAAl0IABgAAgEshAAMAAMClEIABAADgUgjAAAAAcCkEYAAAALgUAjAAAABcCgEYAAAALoUADAAAAJdCAAYAAIBLcakAPGfOHIWHh6ts2bJq1qyZvvjii+IuCQAAANeZywTglStXKiYmRhMmTNDXX3+tO+64Q507d9bRo0eLuzQAAABcRy4TgGfMmKFBgwbpkUceUd26dTVz5kyFhoZq7ty5xV0aAAAAriP34i7gesjKytKePXv01FNP2bR37NhR27ZtK/A1mZmZyszMtD5PS0uTJKWnpzuv0Mtcyrxw3d6rJHPEmDOWf2IsHYexdBzG0nH+7lgyjv/DWDrO9cxOee9ljLliP5cIwL///rtyc3MVFBRk0x4UFKTk5OQCXxMXF6dJkyblaw8NDXVKjSic/8ziruCfg7F0HMbScRhLx2EsHYexdJziGMuzZ8/K39+/0O0uEYDzWCwWm+fGmHxtecaPH6/Ro0dbn1+6dElnzpxRYGBgoa/5p0lPT1doaKiOHTum8uXLF3c5pRpj6TiMpeMwlo7DWDoOY+kYrjqOxhidPXtWISEhV+znEgG4YsWKcnNzy3e2NyUlJd9Z4TxeXl7y8vKyabvhhhucVWKJVr58eZf68jgTY+k4jKXjMJaOw1g6DmPpGK44jlc685vHJS6C8/T0VLNmzRQfH2/THh8fr1atWhVTVQAAACgOLnEGWJJGjx6tfv36qXnz5mrZsqXmzZuno0eP6rHHHivu0gAAAHAduUwA7tWrl06fPq3Jkyfr5MmTatCggT7++GOFhYUVd2kllpeXlyZOnJhvKgjsx1g6DmPpOIyl4zCWjsNYOgbjeGUWc7V1IgAAAIB/EJeYAwwAAADkIQADAADApRCAAQAA4FIIwAAAAHApBGDk8/nnn+vee+9VSEiILBaL1qxZU9wllVpxcXG65ZZb5Ofnp8qVK+u+++7Tjz/+WNxllUpz585Vw4YNrYu6t2zZUp988klxl1XqxcXFyWKxKCYmprhLKXViY2NlsVhsHsHBwcVdVqn166+/6qGHHlJgYKB8fHzUuHFj7dmzp7jLKnGOHTumQYMGKSQkRJ6engoLC9PIkSN1+vRpa59ffvlFDz74oEJCQlS2bFlVq1ZN3bt318GDB232tXnzZt1zzz3WMa9Xr57GjBmjX3/99Xof1nVHAEY+58+fV6NGjTR79uziLqXUS0hI0LBhw7Rjxw7Fx8crJydHHTt21Pnz54u7tFKnWrVqmjp1qnbv3q3du3frrrvuUvfu3bV///7iLq3U2rVrl+bNm6eGDRsWdymlVv369XXy5Enr47vvvivukkql1NRUtW7dWh4eHvrkk0/0/fff66WXXnLZO7AW5pdfflHz5s118OBBLV++XIcOHdLrr7+uTz/9VC1bttSZM2eUlZWlDh06KD09XatWrdKPP/6olStXqkGDBkpLS7Pu64033lD79u0VHBys//73v/r+++/1+uuvKy0tTS+99FIxHuV1YoArkGRWr15d3GX8Y6SkpBhJJiEhobhL+UeoUKGCefPNN4u7jFLp7NmzplatWiY+Pt60adPGjBw5srhLKnUmTpxoGjVqVNxl/CM8+eST5vbbby/uMkq8u+++21SrVs1cuHDBpv3kyZPGx8fHPPbYY+brr782kszhw4cL3c+xY8eMp6eniYmJKXB7amqqI8sukTgDDFxHeb99BwQEFHMlpVtubq5WrFih8+fPq2XLlsVdTqk0bNgwdenSRe3bty/uUkq1n376SSEhIQoPD1fv3r31yy+/FHdJpdKHH36o5s2b61//+pcqV66sJk2aaP78+cVdVoly5swZbdiwQUOHDpW3t7fNtuDgYPXt21crV65UpUqVVKZMGb3//vvKzc0tcF/vvfeesrKyNG7cuAK3u8KZdwIwcJ0YYzR69GjdfvvtatCgQXGXUyp99913KleunLy8vPTYY49p9erVqlevXnGXVeqsWLFCe/fuVVxcXHGXUqq1aNFCb7/9tjZs2KD58+crOTlZrVq1spmLiaL55ZdfNHfuXNWqVUsbNmzQY489pujoaL399tvFXVqJ8dNPP8kYo7p16xa4vW7dukpNTZWHh4deffVVPfvss6pQoYLuuusuPffccza/nP30008qX768qlSpcr3KL3EIwMB1Mnz4cH377bdavnx5cZdSatWuXVuJiYnasWOHHn/8cUVFRen7778v7rJKlWPHjmnkyJFaunSpypYtW9zllGqdO3fW/fffr4iICLVv317r1q2TJC1evLiYKyt9Ll26pKZNm2rKlClq0qSJhgwZosGDB2vu3LnFXVqpYf7/jX0tFouGDRum5ORkLV26VC1bttR7772n+vXrKz4+3trXYrEUZ7nFjgAMXAcjRozQhx9+qM2bN6tatWrFXU6p5enpqZtuuknNmzdXXFycGjVqpFdeeaW4yypV9uzZo5SUFDVr1kzu7u5yd3dXQkKCXn31Vbm7uxf6J1Ncna+vryIiIvTTTz8VdymlTpUqVfL9Nadu3bo6evRoMVVU8tx0002yWCyF/tL/ww8/qEKFCqpYsaIkyc/PT926ddMLL7ygb775RnfccYeef/55SdLNN9+stLQ0nTx58rrVX9IQgAEnMsZo+PDhWrVqlT777DOFh4cXd0n/KMYYZWZmFncZpUpkZKS+++47JSYmWh/NmzdX3759lZiYKDc3t+IusdTKzMzUgQMHXPrPyteqdevW+ZaIPHjwoMLCwoqpopInMDBQHTp00Jw5c5SRkWGzLTk5We+884569epV4Jldi8WiOnXqWFcgeuCBB+Tp6anp06cX+F5//PGHw+svadyLuwCUPOfOndOhQ4esz5OSkpSYmKiAgABVr169GCsrfYYNG6Zly5bpgw8+kJ+fn5KTkyVJ/v7++S5iwJX9+9//VufOnRUaGqqzZ89qxYoV2rJli9avX1/cpZUqfn5++eag+/r6KjAwkLnpdho7dqzuvfdeVa9eXSkpKXr++eeVnp6uqKio4i6t1Bk1apRatWqlKVOmqGfPntq5c6fmzZunefPmFXdpJcrs2bPVqlUrderUSc8//7zCw8O1f/9+PfHEE6patapeeOEFJSYmauLEierXr5/q1asnT09PJSQk6K233tKTTz4pSQoNDdXLL7+s4cOHKz09Xf3791eNGjV0/Phxvf322ypXrtw/fym04lyCAiXT5s2bjaR8j6ioqOIurdQpaBwlmYULFxZ3aaXOww8/bMLCwoynp6epVKmSiYyMNBs3bizusv4RWAbt2vTq1ctUqVLFeHh4mJCQENOjRw+zf//+4i6r1Fq7dq1p0KCB8fLyMnXq1DHz5s0r7pJKpMOHD5sBAwaY4OBg4+HhYUJDQ82IESPM77//bowx5tSpUyY6Oto0aNDAlCtXzvj5+ZmIiAjzn//8x+Tm5trsKz4+3nTq1MlUqFDBlC1b1tSpU8eMHTvWnDhxojgO7bqyGPP/Z00DAAAALoA5wAAAAHApBGAAAAC4FAIwAAAAXAoBGAAAAC6FAAwAAACXQgAGAACASyEAAwAAwKUQgAEAAOBSCMAAAABwKQRgAAAAuBQCMAAAAFwKARgAAAAu5f8BGOA5HAXFd1oAAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 800x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(8,4))\n",
+    "plt.bar(property_count_zone['INCIDENTZONE'],\n",
+    "        property_count_zone['property_count'],\n",
+    "        0.8)\n",
+    "plt.title('Property Crime by Zone in Pittsburgh')\n",
+    "plt.ylabel('Number of Property Crimes')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
+   "id": "634fe4c0-8f28-42db-8bda-cbb4976c68b8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "weapon_df = arrest_pitt_df['OFFENSES'].str.contains(\"Robbery\", na=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "id": "d92eec3d-8120-4dac-ab2a-9af55dee7e75",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Create bar graph on Weapons Violation by Zone\n",
+    "weapon_count_zone = arrest_pitt_df[weapon_df].groupby(['INCIDENTZONE']).\\\n",
+    "aggregate(weapon_count = ('OFFENSES', 'count')).\\\n",
+    "reset_index()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "id": "7a47d99c-d94f-464f-b5d2-12a593e09ed7",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(8,4))\n",
+    "plt.bar(weapon_count_zone['INCIDENTZONE'],\n",
+    "        weapon_count_zone['weapon_count'],\n",
+    "        0.8)\n",
+    "plt.title('Weapons Violation by Zone in Pittsburgh')\n",
+    "plt.ylabel('Number of Weapons Violations')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "id": "550d3b68-2954-4085-97d1-850d5fe8fe2a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Create a pie chart on portion of each type of arrests"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 80,
+   "id": "da526ba8-ee4b-4c69-846d-311d35416f04",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "labels = ['Assault', 'Theft', 'Disorderly Conduct', 'Possession of Controlled Substance', 'DUIs', 'Weapons Violation', 'Property Crimes']\n",
+    "sizes = [18339, 8581, 2340, 16856, 3975, 2165, 5660]\n",
+    "\n",
+    "# Create the pie chart\n",
+    "fig, ax = plt.subplots()\n",
+    "plt.title(\"Proportion of Arrests by Offense Type 2017–2023\")\n",
+    "ax.pie(sizes, labels=labels, wedgeprops={'edgecolor': 'black'}, startangle=50, autopct='%1.1f%%')\n",
+    "ax.axis('equal')  # Equal aspect ratio ensures a circular pie chart\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "id": "c0e71878-46fd-4219-8385-5decb44f7d39",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Create of line graph on each type of offense over time (2017-2023)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.12.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

From e103cf4670ce3d54a15509c3a866d6695e27e6e2 Mon Sep 17 00:00:00 2001
From: BBarr-PDAP <barrbr3891@gmail.com>
Date: Mon, 7 Jul 2025 23:54:06 -0400
Subject: [PATCH 3/3] 2024 Pittsburgh Arrest Data

---
 .../2024 Arrest Data Pittsburgh.ipynb         | 379 ++++++++++++++++++
 1 file changed, 379 insertions(+)
 create mode 100644 Arrest_Records/2024 Arrest Data Pittsburgh.ipynb

diff --git a/Arrest_Records/2024 Arrest Data Pittsburgh.ipynb b/Arrest_Records/2024 Arrest Data Pittsburgh.ipynb
new file mode 100644
index 0000000..f0a25b4
--- /dev/null
+++ b/Arrest_Records/2024 Arrest Data Pittsburgh.ipynb	
@@ -0,0 +1,379 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "id": "b60cd4ea-5989-4584-9edc-7d573c1b281c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Import essential libraries\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import seaborn as sns\n",
+    "from matplotlib import pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "id": "3e58ebbb-3fc9-4d54-8fb5-2e1895983520",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Import arrest data\n",
+    "filepath = \"https://docs.google.com/spreadsheets/d/1rOvIKw4w_GWkDtYhFZysdcgPSTzzWPi3tVl2KsS2g7E/export?format=csv&gid=1515840702\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "id": "10ec26c2-432b-45be-809e-8d91dc7e0093",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "arrest_pitt_df = pd.read_csv(filepath)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "id": "89b525dd-a7bf-4001-9408-7e4d6496e78b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Reduce columns to only necessary ones\n",
+    "arrest_columns = ['AGE', 'GENDER', 'RACE','OFFENSES', 'ARRESTTIME','INCIDENTZONE','INCIDENTNEIGHBORHOOD','X', 'Y']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "id": "465851be-6083-4c8d-b3d7-87e628e4e994",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Create new dataframe to reference new columns\n",
+    "arrest_pitt_df = arrest_df[arrest_columns]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "id": "bb1ae733-d640-44d6-89ab-dfe9933518a2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Change DATE to datetime in order to make a line graph of arrests by year\n",
+    "arrest_pitt_df = arrest_pitt_df.rename(columns={\n",
+    "    'ARRESTTIME': 'DATE',})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "id": "0838e67e-9236-48fc-98a2-ba50c3130156",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "arrest_pitt_df['DATE'] = pd.to_datetime(arrest_pitt_df['DATE'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "id": "8a42f0ed-2eb6-47e2-9880-b6fac1edbfad",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "arrest_pitt_df['YEAR'] = [x.year for x in arrest_pitt_df['DATE']]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "id": "89b730ac-bda8-47d9-8777-320d0c85ec94",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "arrest_pitt_by_year = arrest_pitt_df.loc[(arrest_pitt_df['YEAR'] >= 2017) & (arrest_pitt_df['YEAR'] <= 2023)].\\\n",
+    "                    groupby(['YEAR']).\\\n",
+    "                    aggregate(Offenses = ('OFFENSES','count')).\\\n",
+    "                    reset_index().\\\n",
+    "                    set_index('YEAR').\\\n",
+    "                    copy()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "id": "0a3f68d4-3334-43b9-b218-aa65f2cb498b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(12,6))\n",
+    "sns.lineplot(data=arrest_pitt_by_year, x=\"YEAR\", y=\"Offenses\")\n",
+    "plt.title('Arrests in Pittsburgh by Year')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "id": "9263dbbf-4978-4a1c-b775-063b0dec8f8e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Plot a bar graph of the total numbers of arrests by zone\n",
+    "arrests_by_zone = arrest_pitt_df.groupby(['INCIDENTZONE']).\\\n",
+    "aggregate(arrest_count_zone = ('OFFENSES', 'count')).\\\n",
+    "reset_index()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "id": "d8259d6c-8795-44ec-ac04-b235867ffacc",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(8,4))\n",
+    "plt.bar(arrests_by_zone['INCIDENTZONE'],\n",
+    "        arrests_by_zone['arrest_count_zone'],\n",
+    "        0.8)\n",
+    "plt.title('Pittsburgh Arrests by Zone')\n",
+    "plt.ylabel('Number of Arrests')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "id": "819c284f-17d1-401b-9674-1c8bfbc4f735",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Create a condition to filter out only certain type of offense to create new DF \n",
+    "#Theses can be used to with groupby function to produce sizes for each offense type \n",
+    "# Example: theft_count_zone = arrest_pitt_df[theft_df].groupby(['INCIDENTZONE']).\\\n",
+    "# aggregate(theft_count = ('OFFENSES', 'count')).\\\n",
+    "# reset_index() then type \"theft_count_zone\" to produce results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "id": "1aa8393c-b8d0-4da3-8e82-e79e13cbe754",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "theft_df = arrest_pitt_df['OFFENSES'].str.contains(\"Theft|Robbery\", na=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "id": "70bcc91e-1b5d-4c89-b218-cc1685f956ac",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "assault_df = arrest_pitt_df['OFFENSES'].str.contains(\"Assault\", na=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "id": "34bb6553-cbdd-46ed-9fde-9cd4e3f4e6d2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "possession_df = arrest_pitt_df['OFFENSES'].str.contains(\"Possession\", na=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "id": "28902f4c-a6f6-4ae1-b85b-9af8ae15d111",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "disorderly_df = arrest_pitt_df['OFFENSES'].str.contains(\"Disorderly Conduct\", na=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "id": "26530d7b-35fd-427a-9236-c3c886368871",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "DUI_df = arrest_pitt_df['OFFENSES'].str.contains(\"DUI\", na=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "id": "984aaabd-e829-413a-aee9-e5075b17235c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "property_df = arrest_pitt_df['OFFENSES'].str.contains(\"Property\", na=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "id": "ee6c4e9d-4cda-415b-abc9-53ac88cef2f9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "weapon_df = arrest_pitt_df['OFFENSES'].str.contains(\"Robbery\", na=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "id": "d61b231f-7480-49ce-b913-b17a235f56ab",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Create a stacked bar plot on portion of each type of arrests"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "id": "57701813-8373-4eaa-a20a-0c58e16b3a65",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#Create stacked bar plot\n",
+    "x = ['1', '2', '3', '4','5','6', 'OSC']\n",
+    "y1 = np.array([1405, 1573, 1462, 1265, 1990, 864, 15])\n",
+    "y2 = np.array([3768, 2731, 3917, 1852, 3548, 2474, 16])\n",
+    "y3 = np.array([4485,2608, 2829, 1360, 4083, 1261, 208])\n",
+    "y4 = np.array([484, 563, 622, 240, 263, 165, 1])\n",
+    "y5 = np.array([738, 459, 1168, 503, 552, 537, 11])\n",
+    "y6 = np.array([1002, 871, 1171, 768, 1057, 587, 183])\n",
+    "y7 = np.array([401, 337, 415, 261, 474, 275, 1])\n",
+    "\n",
+    "# plot bars in stack manner\n",
+    "plt.bar(x, y7, bottom=y1+y2+y3+y4+y5+y6, color='darksalmon')\n",
+    "plt.bar(x, y6, bottom=y1+y2+y3+y4+y5, color='mistyrose')\n",
+    "plt.bar(x, y5, bottom=y1+y2+y3+y4, color='wheat')\n",
+    "plt.bar(x, y4, bottom=y1+y2+y3, color='darkorange')\n",
+    "plt.bar(x, y3, bottom=y1+y2, color='indianred')\n",
+    "plt.bar(x, y2, bottom=y1, color='red')\n",
+    "plt.bar(x, y1, color='firebrick')\n",
+    "plt.xlabel(\"Zone\")\n",
+    "plt.ylabel(\"Offenses\")\n",
+    "plt.legend([\"Weapon\", \"Property\", \"DUI\", \"Disorderly\", \"Posession\", \"Assault\", \"Theft\"])\n",
+    "plt.title(\"Portion of Arrests by Offense type 2017-2023\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "id": "765d4366-dfcc-462f-ad6f-21f35a9a1846",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Create a Pie Chart for portion of arrests by Offense Type"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "id": "651d598e-3c3c-409f-8252-4ae26f7fdd1a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "labels = ['Assault', 'Theft', 'Disorderly Conduct', 'Possession of Controlled Substance', 'DUIs', 'Weapons Violation', 'Property Crimes']\n",
+    "sizes = [18339, 8581, 2340, 16856, 3975, 2165, 5660]\n",
+    "\n",
+    "# Create the pie chart\n",
+    "fig, ax = plt.subplots()\n",
+    "plt.title(\"Proportion of Arrests by Offense Type 2017–2023\")\n",
+    "ax.pie(sizes, labels=labels, wedgeprops={'edgecolor': 'black'}, startangle=50, autopct='%1.1f%%')\n",
+    "ax.axis('equal')  # Equal aspect ratio ensures a circular pie chart\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "id": "19547e02-1f08-4285-9dfd-d0fc600ede3e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Fin"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.12.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}