{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "id": "7dZbT3ijl0Qh"
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# Imports for geopandas\n",
    "import geopandas as gpd\n",
    "from shapely import wkt\n",
    "from shapely.geometry import Point\n",
    "\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "plt.style.use('fivethirtyeight')\n",
    "import warnings\n",
    "warnings.simplefilter('ignore', FutureWarning)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Project for DATA 118 - Winter 2025\n",
    "\n",
    "Welcome to your project for DATA 118. This is not a group project. You may discuss the project with other students but you should code and write the report independently. You should acknowledge any help in writing (including any use of generative AI, but AI should not be used for general coding in this class). The score will be based on:\n",
    "-  Clarity and soundness of the arguments and conclusions;\n",
    "-  Use of data to back up arguments and analysis quality;  \n",
    "-  Insightfulness of the results;\n",
    "-  Quality of the data vizualizations, summaries used, and overall presentation. Make sure you use headings, captions for figures and tables etc. When you interpret a graph or data from a table, you should clearly specify which figure/table you refer to.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "\n",
    "### The Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "RdiytFTml0Ql"
   },
   "source": [
    "Option 1: You are welcome to find your own data set for this project, but keep the goals in mind. Here are some suggested sources.\n",
    "\n",
    "Suggestions for datasets \n",
    "- Github Collection of publicly available data: https://github.com/awesomedata/awesome-public-datasets\n",
    "- Google Dataset search: https://datasetsearch.research.google.com/\n",
    "- CDC: https://data.cdc.gov/browse\n",
    "- 500 cities: https://www.cdc.gov/500cities/index.htm\n",
    "- UN: http://data.un.org/\n",
    "- Kaggle: https://www.kaggle.com/datasets\n",
    "- FEC: https://www.fec.gov/\n",
    "- FiveThirtyEight: https://github.com/fivethirtyeight/data\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "Option 2:\n",
    "\n",
    "Use data from the \"National Wellbeing Survey, United States, 2021\",\n",
    "\n",
    "*\"The National Wellbeing Survey (NWS) is a population-based survey on the wellbeing of adults aged 18 to 64 in the United States. Specific survey domains include psychological well-being, social relationships and support, physical health, mental health, health behaviors, COVID-19 experiences and impacts, socioeconomic measures, political orientation, and demographic measures.\"*\n",
    "\n",
    "The data can be downloaded from the link below\n",
    "https://www.icpsr.umich.edu/web/ICPSR/studies/38879/\n",
    "\n",
    "\n",
    "   First, Click on 'Download' and then 'Delimited'.\n",
    "\n",
    "   Next, you will need to make an account and agree to the corresponding terms and conditions to have access to the data. Note you will get a folder called \"ICPSR_38879\". This folder contains the codebook that describes the study and the variables in detail. It has information on the survey that was administered. This folder is also how you will get the data itself.\n",
    "\n",
    "A few notes, hints, that may be helpful as you are working with this data.\n",
    "1. Take a look at the codebook. It has a lot of information about the survey itself and the variable names. We have put together a spreadsheet of selected variables to make it easier to see the variables present.\n",
    "2. The variable outcomes are encoded as numeric values. To see the corresponding outputs, you will need to look at  the codebook, including how missing data was handled in the survey.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Tl4X-SRBl0Qn"
   },
   "source": [
    "\n",
    "### The Report \n",
    "\n",
    "You must submit four files broken into 2 parts:\n",
    "\n",
    "Part 1: **Due Sunday February 16 at 11:59pm**\n",
    "\n",
    "1. The file you plan to use for your project. \n",
    "\n",
    "2. The introduction of the report. \n",
    "\n",
    "   A.  **Introduce the dataset**.  Describe the data. What is the being studied? Where does it come from? Why was it collected (what are the researchers interested in studying)?Was it an experiment? A retrospective observational study? A prospective observational study? How many variables are there in the full dataset? List a few. How many observations (i.e. rows)? Describe the sampling process. Using what you have learned about data collection is this a biased or unbiased sample? Why?\n",
    "\n",
    "\n",
    "Part 2: **Due Saturday March 8 at 11:59pm**\n",
    "\n",
    "1. The Jupyter Notebook that contains all the code you use for the analysis broken into the parts listed below as necessary. Make sure to RUN ALL CELLS IN YOUR NOTEBOOK before submitting.\n",
    "\n",
    "2. A report of your findings. **This report should be at most 4 pages (12 pt font 1.5 spaced) long including references.** Use data visualization and data summaries to justify your conclusions. Note that the page limitation means you will not show all analyses you will make - select carefully what you think is most relevant.\n",
    "\n",
    "   The report should address the following points broken into parts:\n",
    "\n",
    "    A. Same as above, but edited based on feedback.\n",
    "\n",
    "    B.  **Characteristics of sample**. Describe the unit (people, airbnbs, specific animals, etc) sampled in the dataset.  Summarize the distributions or ranges of 3 or more of the characteristics (variables). You should include a graph or table for each distribution. You should create at least one graph and at least one table (DataFrame).\n",
    "\n",
    "    C. **Relationships between variables.**  Now, shift focus from distributions of single variables to relationships between variables. Include two or more graphs or tables here that highlight interesting relationships between variables.\n",
    "\n",
    "    During your exploration you should create at least one new column in the DataFrame based on existing variables in the dataset. To do this, you need to write a function (or more than one if you like) and apply it to one or more columns of the dataset. Make sure to clearly mark in your code notebook where your function is located.\n",
    "\n",
    "    D. **Provide context and set up a Hypothesis Test.** To the best of your knowledge, what do you think the relationships you discovered imply?\n",
    "\n",
    "    Based on supporting evidence from your investigation, set up a hypothesis test centering around a question of interest. Formulate the hypothesis test by **clearly stating the null and alternate hypothesis, and the corresponding test statistic.** You are just setting up the hypothesis test here, **you do not need to carry out the hypothesis test**.\n",
    "\n",
    "    E. **Conclusion/Self-Assessment.** What did you learn from exploring this dataset? If you were to continue this project, what is one question you would want to continue to investigate?\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Qs8jgh62l0Qo"
   },
   "source": [
    "Your submission is to be uploaded to Canvas and Gradescope. **If you do not submit all four files you will automatically recieve a deduction of 20 points from your submission.**\n",
    "There are some minimum requirements for your submission:\n",
    "\n",
    "1. Upload your data to Canvas\n",
    "2. Upload Part A: Introdcution to the data set as a PDF to Canvas\n",
    "3. Upload your final report as a PDF to Canvas\n",
    "4. Upload the jupyter notebook containing your analysis code to Gradescope, in .ipynb format.\n",
    "5. The report should be 4 pages maximum, , contain no code, and including tables and figures.\n",
    "6. You must have a bibliography citing the dataset. This can be on a separate page.\n",
    "7. If your report uses additional outside results and/or data, proper citations must be provided.\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Josxqm3MeiSu"
   },
   "source": [
    "You may use the following code to help you load in the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 162
    },
    "executionInfo": {
     "elapsed": 415,
     "status": "error",
     "timestamp": 1739136430632,
     "user": {
      "displayName": "Kelly Smalenberger",
      "userId": "17455113318685349574"
     },
     "user_tz": 360
    },
    "id": "eDNtjpSBeiSu",
    "outputId": "c5c93771-390f-42d0-8ceb-1f1306d95958"
   },
   "outputs": [],
   "source": [
    "crimes_no_zip = pd.read_csv(\"chicagocrime.csv\")\n",
    "zipcodes_df = gpd.read_file(\"chizipcodes.csv\")\n",
    "income_df = pd.read_excel(\"illinoisincome.xlsx\")\n",
    "population_df = pd.read_csv(\"chipopulation.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
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       "4  11937967    JC567053  12/31/2019 11:46:00 PM  034XX W JACKSON BLVD  143A   \n",
       "\n",
       "        Primary Type                     Description    Location Description  \\\n",
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       "1   False     False  ...  16.0              68       04B     1169736.0   \n",
       "2   False     False  ...  27.0              24        06           NaN   \n",
       "3    True     False  ...  29.0              25        15     1144466.0   \n",
       "4   False     False  ...  28.0              27        15     1153587.0   \n",
       "\n",
       "  Y Coordinate  Year              Updated On   Latitude  Longitude  \\\n",
       "0    1859260.0  2019  01/07/2020 06:57:13 PM  41.769150 -87.627137   \n",
       "1    1862855.0  2019  01/08/2020 03:45:22 PM  41.779174 -87.653278   \n",
       "2          NaN  2019  01/07/2020 06:57:13 PM        NaN        NaN   \n",
       "3    1897452.0  2019  01/07/2020 06:57:13 PM  41.874624 -87.745053   \n",
       "4    1898480.0  2019  01/07/2020 06:57:13 PM  41.877268 -87.711537   \n",
       "\n",
       "                        Location  \n",
       "0  (41.769150218, -87.627136786)  \n",
       "1  (41.779173667, -87.653277703)  \n",
       "2                            NaN  \n",
       "3  (41.874623951, -87.745052647)  \n",
       "4  (41.877268465, -87.711536692)  \n",
       "\n",
       "[5 rows x 22 columns]"
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       "      <td>MULTIPOLYGON (((-87.78500237831095 41.90914785...</td>\n",
       "      <td>35</td>\n",
       "      <td>60707</td>\n",
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       "      <td>27288.6096123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>MULTIPOLYGON (((-87.6670686895295 41.888851884...</td>\n",
       "      <td>36</td>\n",
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       "      <td>42527.9896789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MULTIPOLYGON (((-87.70655631674127 41.89555340...</td>\n",
       "      <td>37</td>\n",
       "      <td>60651</td>\n",
       "      <td>99039621.2518</td>\n",
       "      <td>47970.1401531</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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       "2  MULTIPOLYGON (((-87.78500237831095 41.90914785...       35  60707   \n",
       "3  MULTIPOLYGON (((-87.6670686895295 41.888851884...       36  60622   \n",
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       "      <td>NaN</td>\n",
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       "      <td>ZIP Code</td>\n",
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       "      <td>435</td>\n",
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       "      <td>53</td>\n",
       "      <td>10</td>\n",
       "      <td>...</td>\n",
       "      <td>1095</td>\n",
       "      <td>5</td>\n",
       "      <td>551</td>\n",
       "      <td>693</td>\n",
       "      <td>81</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>788</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ZIP_Code-60602-2018</td>\n",
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       "      <td>97</td>\n",
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       "      <td>601</td>\n",
       "      <td>573</td>\n",
       "      <td>115</td>\n",
       "      <td>NaN</td>\n",
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       "  Geography Type  Year Geography  Population - Total  Population - Age 0-17  \\\n",
       "0       Citywide  2018   Chicago             2705988                 548999   \n",
       "1       ZIP Code  2018     60601               14675                    820   \n",
       "2       ZIP Code  2018     60602                1244                    149   \n",
       "3       ZIP Code  2018     60603                1174                     56   \n",
       "4       ZIP Code  2018     60604                 782                     38   \n",
       "\n",
       "   Population - Age 18-29  Population - Age 30-39  Population - Age 40-49  \\\n",
       "0                  552935                  456321                  336457   \n",
       "1                    4606                    2792                    2190   \n",
       "2                     435                     462                     135   \n",
       "3                     561                     101                      97   \n",
       "4                     303                     104                      51   \n",
       "\n",
       "   Population - Age 50-59  Population - Age 60-69  ...  Population - Age 18+  \\\n",
       "0                  312965                  262991  ...               2156989   \n",
       "1                    1333                    1340  ...                 13855   \n",
       "2                      53                      10  ...                  1095   \n",
       "3                     197                      97  ...                  1118   \n",
       "4                     101                     130  ...                   744   \n",
       "\n",
       "   Population - Age 65+  Population - Female  Population - Male  \\\n",
       "0                349712              1386113            1319875   \n",
       "1                  2075                 7484               7191   \n",
       "2                     5                  551                693   \n",
       "3                   112                  601                573   \n",
       "4                    93                  413                369   \n",
       "\n",
       "   Population - Latinx  Population - Asian Non-Latinx  \\\n",
       "0               776661                       179841.0   \n",
       "1                 1274                            NaN   \n",
       "2                   81                            NaN   \n",
       "3                  115                            NaN   \n",
       "4                   34                            NaN   \n",
       "\n",
       "   Population - Black Non-Latinx  Population - White Non-Latinx  \\\n",
       "0                       784266.0                         899980   \n",
       "1                            NaN                           9677   \n",
       "2                            NaN                            788   \n",
       "3                            NaN                            707   \n",
       "4                            NaN                            479   \n",
       "\n",
       "   Population - Other Race Non-Latinx              Record ID  \n",
       "0                            119467.0  Citywide-Chicago-2018  \n",
       "1                                 NaN    ZIP_Code-60601-2018  \n",
       "2                                 NaN    ZIP_Code-60602-2018  \n",
       "3                                 NaN    ZIP_Code-60603-2018  \n",
       "4                                 NaN    ZIP_Code-60604-2018  \n",
       "\n",
       "[5 rows x 26 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(crimes_no_zip.head())\n",
    "display(zipcodes_df.head())\n",
    "display(income_df.head())\n",
    "display(population_df.head())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "fOlO6F1MeiSw"
   },
   "source": [
    "# Code for Part A"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A lot of cleaning and reorganizing needs to be done on the data in order for it to be usable. Unfortunatly the crime dataset does not include the zip code where the crime occured, though it does include the coordinates. I will use geopandas to map ZIP codes for each crime using the coordiates given in the dataset with a zipcode shapemap. I used the GeoPandas user guide for this section, which is cited in my bibliography. However, I'll admit that I don't understand a lot of the syntax, though it was a lot of fun making maps."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "id": "TBBTbXx8eiSw"
   },
   "outputs": [
    {
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         "name": "index",
         "rawType": "int64",
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         "name": "Primary Type",
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         "name": "ZIP",
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         "type": "string"
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       "      <td>60624</td>\n",
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       "      <td>OTHER OFFENSE</td>\n",
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       "      <td>BATTERY</td>\n",
       "      <td>60649</td>\n",
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       "</table>\n",
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      ],
      "text/plain": [
       "         Primary Type    ZIP\n",
       "0   WEAPONS VIOLATION  60621\n",
       "1             BATTERY  60621\n",
       "3   WEAPONS VIOLATION  60644\n",
       "4   WEAPONS VIOLATION  60624\n",
       "5       OTHER OFFENSE  60643\n",
       "6             BATTERY  60609\n",
       "7             ASSAULT  60625\n",
       "8       OTHER OFFENSE  60628\n",
       "9               THEFT  60601\n",
       "10            BATTERY  60649"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "zipcodes_df['geometry'] = zipcodes_df['the_geom'].apply(wkt.loads)\n",
    "zipcodes = gpd.GeoDataFrame(zipcodes_df, geometry='geometry', crs=\"EPSG:4326\")\n",
    "\n",
    "crimes_clean = crimes_no_zip.dropna(subset=['Longitude', 'Latitude']).copy()\n",
    "crimes_clean['geometry'] = crimes_clean.apply(lambda row: Point(row['Longitude'], row['Latitude']), axis=1)\n",
    "crimes_gdf = gpd.GeoDataFrame(crimes_clean, geometry='geometry', crs=\"EPSG:4326\")\n",
    "\n",
    "crimes_zip = gpd.sjoin(crimes_gdf, zipcodes, how=\"left\", predicate=\"within\").filter([\"Primary Type\", \"ZIP\"])\n",
    "display(crimes_zip.head(10))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next I will clean the population dataframe to get a population per zipcode count. I will exclude zip codes with less than 5000 people in them because they heavily skew the crime statistic (For example, O'Hare Airport's zipcode (60666) has zero residents but still has violent crime)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
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       "      <td>33735</td>\n",
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       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>60613</td>\n",
       "      <td>50761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>60614</td>\n",
       "      <td>71954</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      ZIP  Population\n",
       "61  60601       15083\n",
       "65  60605       29060\n",
       "67  60607       29293\n",
       "68  60608       80059\n",
       "69  60609       60939\n",
       "70  60610       40548\n",
       "71  60611       33224\n",
       "72  60612       33735\n",
       "73  60613       50761\n",
       "74  60614       71954"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "population = population_df[population_df['Year'] == 2019]\n",
    "population = population[population['Geography Type'] == 'ZIP Code']\n",
    "population = population[['Geography', 'Population - Total']]\n",
    "population.columns = ['ZIP', 'Population']\n",
    "population = population[population[\"Population\"] > 5000]\n",
    "population[\"ZIP\"] = population[\"ZIP\"].astype(str)\n",
    "\n",
    "display(population.head(10))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next I will eliminate irrelevent columnsi in the crime dataframe, isolate only violent crimes, and list the counts of each offense as well as the zip codes in order of frequency. See the documentation for the definition of a violent crime."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "id": "Lzm91TQxeiSw"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
       "columns": [
        {
         "name": "Primary Type",
         "rawType": "object",
         "type": "string"
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        {
         "name": "count",
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         "type": "integer"
        }
       ],
       "conversionMethod": "pd.DataFrame",
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         "BATTERY",
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        ],
        [
         "ASSAULT",
         "20601"
        ],
        [
         "ROBBERY",
         "7989"
        ],
        [
         "SEX OFFENSE",
         "1320"
        ],
        [
         "CRIM SEXUAL ASSAULT",
         "902"
        ],
        [
         "CRIMINAL SEXUAL ASSAULT",
         "682"
        ],
        [
         "HOMICIDE",
         "509"
        ],
        [
         "STALKING",
         "224"
        ],
        [
         "KIDNAPPING",
         "172"
        ],
        [
         "INTIMIDATION",
         "163"
        ]
       ],
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       "      <td>7989</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SEX OFFENSE</th>\n",
       "      <td>1320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CRIM SEXUAL ASSAULT</th>\n",
       "      <td>902</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CRIMINAL SEXUAL ASSAULT</th>\n",
       "      <td>682</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HOMICIDE</th>\n",
       "      <td>509</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>STALKING</th>\n",
       "      <td>224</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KIDNAPPING</th>\n",
       "      <td>172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>INTIMIDATION</th>\n",
       "      <td>163</td>\n",
       "    </tr>\n",
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      "text/plain": [
       "                         count\n",
       "Primary Type                  \n",
       "BATTERY                  49474\n",
       "ASSAULT                  20601\n",
       "ROBBERY                   7989\n",
       "SEX OFFENSE               1320\n",
       "CRIM SEXUAL ASSAULT        902\n",
       "CRIMINAL SEXUAL ASSAULT    682\n",
       "HOMICIDE                   509\n",
       "STALKING                   224\n",
       "KIDNAPPING                 172\n",
       "INTIMIDATION               163"
      ]
     },
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     "output_type": "display_data"
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       "      <th></th>\n",
       "      <th>ZIP</th>\n",
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      "text/plain": [
       "     ZIP  Violent Crimes per Thousand Residents\n",
       "0  60601                                  29.50\n",
       "1  60605                                  24.26\n",
       "2  60607                                  28.81\n",
       "3  60608                                  20.85\n",
       "4  60609                                  37.25\n",
       "5  60610                                  23.31\n",
       "6  60611                                  29.80\n",
       "7  60612                                  65.84\n",
       "8  60613                                  12.67\n",
       "9  60614                                  10.97"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "crimes = crimes_zip[crimes_zip[\"Primary Type\"].isin([\"ASSAULT\", \"BATTERY\", \"CRIMINAL SEXUAL ASSAULT\", \n",
    "                                             \"SEX OFFENSE\", \"HOMICIDE\", \"ROBBERY\", \"CRIM SEXUAL ASSAULT\", \"KIDNAPPING\", \n",
    "                                             \"INTIMIDATION\", \"STALKING\", \"HUMAN TRAFFICKING\"])]\n",
    "\n",
    "type_counts = crimes[\"Primary Type\"].value_counts().to_frame()\n",
    "zip_freqs = crimes[\"ZIP\"].astype(str).value_counts().to_frame()\n",
    "\n",
    "zip_freqs = pd.merge(zip_freqs, population, on=\"ZIP\", how='right')\n",
    "zip_freqs[\"Violent Crimes per Thousand Residents\"] = round(1000 * (zip_freqs[\"count\"] / zip_freqs[\"Population\"]), 2)\n",
    "zip_freqs = zip_freqs.drop(columns=[\"count\", \"Population\"])\n",
    "\n",
    "display(type_counts.head(10))\n",
    "display(zip_freqs.head(10))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next I will clean and strip the income data and find average total income in US Dollars for each ZIP code."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "id": "GaIopai0eiSw"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
       "columns": [
        {
         "name": "index",
         "rawType": "int64",
         "type": "integer"
        },
        {
         "name": "ZIP",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "Average Total Income (USD)",
         "rawType": "float64",
         "type": "float"
        }
       ],
       "conversionMethod": "pd.DataFrame",
       "ref": "351cf700-ec7b-47b6-b489-0a3480be6a66",
       "rows": [
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         "0",
         "60601",
         "238.0"
        ],
        [
         "1",
         "60605",
         "155.0"
        ],
        [
         "2",
         "60607",
         "156.0"
        ],
        [
         "3",
         "60608",
         "38.0"
        ],
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         "4",
         "60609",
         "34.0"
        ],
        [
         "5",
         "60610",
         "215.0"
        ],
        [
         "6",
         "60611",
         "388.0"
        ],
        [
         "7",
         "60612",
         "53.0"
        ],
        [
         "8",
         "60613",
         "128.0"
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        [
         "9",
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         "253.0"
        ]
       ],
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>ZIP</th>\n",
       "      <th>Average Total Income (USD)</th>\n",
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       "      <td>60608</td>\n",
       "      <td>38.0</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>60609</td>\n",
       "      <td>34.0</td>\n",
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       "    <tr>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>60612</td>\n",
       "      <td>53.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>60613</td>\n",
       "      <td>128.0</td>\n",
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       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>60614</td>\n",
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      ],
      "text/plain": [
       "     ZIP  Average Total Income (USD)\n",
       "0  60601                       238.0\n",
       "1  60605                       155.0\n",
       "2  60607                       156.0\n",
       "3  60608                        38.0\n",
       "4  60609                        34.0\n",
       "5  60610                       215.0\n",
       "6  60611                       388.0\n",
       "7  60612                        53.0\n",
       "8  60613                       128.0\n",
       "9  60614                       253.0"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "income = income_df.iloc[:, [0, 18, 19]]\n",
    "income.columns = [\"ZIP\", \"Number of Returns\", \"Amount\"]\n",
    "income = income[pd.to_numeric(income[\"ZIP\"], errors='coerce').notnull()]\n",
    "\n",
    "income[\"Number of Returns\"] = pd.to_numeric(income[\"Number of Returns\"], errors='coerce')\n",
    "income[\"Amount\"] = pd.to_numeric(income[\"Amount\"], errors='coerce')\n",
    "income = income.groupby(\"ZIP\", as_index=False).sum()\n",
    "income[\"ZIP\"] = income[\"ZIP\"].astype(str)\n",
    "\n",
    "income = pd.merge(income, population, on=\"ZIP\", how='right')\n",
    "\n",
    "income[\"Average Total Income (USD)\"] = round((income[\"Amount\"] / income[\"Population\"]))\n",
    "income = income.drop(columns=[\"Number of Returns\", \"Amount\", \"Population\"])\n",
    "\n",
    "income.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Last I will combine the crime and income dataframes into one (by zip code) so it can undergo analysis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "id": "etMcpFA6eiSw"
   },
   "outputs": [
    {
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        {
         "name": "index",
         "rawType": "int64",
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         "name": "Zip Code",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "Number of Violent Crimes per Thousand Residents",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "Average Total Annual Income (Thousands of US Dollars)",
         "rawType": "float64",
         "type": "float"
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       "      <th>Average Total Annual Income (Thousands of US Dollars)</th>\n",
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       "      <th>7</th>\n",
       "      <td>60612</td>\n",
       "      <td>65.84</td>\n",
       "      <td>53.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>60613</td>\n",
       "      <td>12.67</td>\n",
       "      <td>128.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>60614</td>\n",
       "      <td>10.97</td>\n",
       "      <td>253.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Zip Code  Number of Violent Crimes per Thousand Residents  \\\n",
       "0    60601                                            29.50   \n",
       "1    60605                                            24.26   \n",
       "2    60607                                            28.81   \n",
       "3    60608                                            20.85   \n",
       "4    60609                                            37.25   \n",
       "5    60610                                            23.31   \n",
       "6    60611                                            29.80   \n",
       "7    60612                                            65.84   \n",
       "8    60613                                            12.67   \n",
       "9    60614                                            10.97   \n",
       "\n",
       "   Average Total Annual Income (Thousands of US Dollars)  \n",
       "0                                              238.0      \n",
       "1                                              155.0      \n",
       "2                                              156.0      \n",
       "3                                               38.0      \n",
       "4                                               34.0      \n",
       "5                                              215.0      \n",
       "6                                              388.0      \n",
       "7                                               53.0      \n",
       "8                                              128.0      \n",
       "9                                              253.0      "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
       "columns": [
        {
         "name": "index",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "Number of Violent Crimes per Thousand Residents",
         "rawType": "float64",
         "type": "float"
        },
        {
         "name": "Average Total Annual Income (Thousands of US Dollars)",
         "rawType": "float64",
         "type": "float"
        }
       ],
       "conversionMethod": "pd.DataFrame",
       "ref": "e07a40da-45e6-48c2-be92-de0db83a3647",
       "rows": [
        [
         "count",
         "54.0",
         "54.0"
        ],
        [
         "mean",
         "30.88240740740741",
         "85.37037037037037"
        ],
        [
         "std",
         "25.582880252613602",
         "75.89026245645283"
        ],
        [
         "min",
         "4.99",
         "20.0"
        ],
        [
         "25%",
         "12.885",
         "36.0"
        ],
        [
         "50%",
         "22.62",
         "55.5"
        ],
        [
         "75%",
         "39.62",
         "96.0"
        ],
        [
         "max",
         "107.75",
         "388.0"
        ]
       ],
       "shape": {
        "columns": 2,
        "rows": 8
       }
      },
      "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>Number of Violent Crimes per Thousand Residents</th>\n",
       "      <th>Average Total Annual Income (Thousands of US Dollars)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>54.000000</td>\n",
       "      <td>54.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>30.882407</td>\n",
       "      <td>85.370370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>25.582880</td>\n",
       "      <td>75.890262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>4.990000</td>\n",
       "      <td>20.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>12.885000</td>\n",
       "      <td>36.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>22.620000</td>\n",
       "      <td>55.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>39.620000</td>\n",
       "      <td>96.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>107.750000</td>\n",
       "      <td>388.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Number of Violent Crimes per Thousand Residents  \\\n",
       "count                                        54.000000   \n",
       "mean                                         30.882407   \n",
       "std                                          25.582880   \n",
       "min                                           4.990000   \n",
       "25%                                          12.885000   \n",
       "50%                                          22.620000   \n",
       "75%                                          39.620000   \n",
       "max                                         107.750000   \n",
       "\n",
       "       Average Total Annual Income (Thousands of US Dollars)  \n",
       "count                                          54.000000      \n",
       "mean                                           85.370370      \n",
       "std                                            75.890262      \n",
       "min                                            20.000000      \n",
       "25%                                            36.000000      \n",
       "50%                                            55.500000      \n",
       "75%                                            96.000000      \n",
       "max                                           388.000000      "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "crime_vs_income = pd.merge(zip_freqs, income, on=\"ZIP\", how=\"left\")\n",
    "crime_vs_income.columns = [\"Zip Code\", \"Number of Violent Crimes per Thousand Residents\", \"Average Total Annual Income (Thousands of US Dollars)\"]\n",
    "crime_vs_income.set_index(crime_vs_income[\"Zip Code\"])\n",
    "display(crime_vs_income.head(10))\n",
    "crime_vs_income.describe()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "3kYMdGsReiSw"
   },
   "source": [
    "# Code for Part B"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "id": "1DB_24FQeiSx"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(income[\"Average Total Income (USD)\"], bins=10)\n",
    "plt.xlabel(\"Average Total Annual Income (Thousands of US Dollars)\")\n",
    "plt.ylabel(\"Number of ZIP Codes\")\n",
    "plt.title(\"Income Distribution in Chicago by ZIP Code (2019)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(population[\"Population\"], bins=10)\n",
    "plt.xlabel(\"Population per Zipcode (Thousands)\")\n",
    "plt.ylabel(\"Number of ZIP Codes\")\n",
    "plt.title(\"Population Distribution in Chicago by ZIP Codes (2019)\")\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "id": "5rW0P_lyeiSx"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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OjJVf0v4S3/9AP336hFu3buHWrVvYtWsXjhw5AisrK7nsMy9GjRqFpUuXIjY2FpcuXUJKSkq2x02WM2fOYNKkSUhMTMw0/ePHj/j48SMCAgJw7NgxGBgYoGvXroWOVyKRZDsaV0EcOHAAs2fPzvRbCwsLw/Hjx3H69Gn8/fffGDdunFz2VRS8vLzg6OiY5Sbz/fv3eP/+Pc6cOYO+ffti+/btuT4xun37NkaOHInIyEhhWkJCAm7cuIEbN27gxx9/zPS0S1G+ffuGgQMH4vr165mmP3/+HM+fP8f58+fh6uoKfX39fG87JiZGuBkwNTWV2+9d6o8//siSyL9//x7//PMPzp07hxMnThT4BiA6OhqTJk2SeWMlLe/Lly8jIiIiU5+m1NRU1K1bV2ZC8eHDB3z48AEXL17E/v37sX///mxH/IuNjcXAgQNx586dTNP9/f3h7++PkydPYt26dbl+jqdPn2Lo0KFZbmLDw8Nx+fJlXL58Gbt37xYeTBSWm5sbxo4dm+kGJyEhARcvXsTFixfx888/Z2leOmzYMCxZsgQJCQk4cOBAjmWWkJAg3Ij06NEDhoaGhY45o4CAAMydOxdA+giE+/btk8txyU3GVhmpqan5WjdjsimPTsCAfM51p06dwpQpUzJdv96/fy+c/2U9hMtuOzNmzMj0YA1Iv5ZcuHABFy5cQM+ePbFz584sD5tTU1MxceJEISnI6OvXrwgJCcGdO3dw5MgRvHjxIk/xfE/60KJp06YFWj+jjNdKWc2O3rx5Izzsbdu2bY7bat++PTw8PJCQkIAHDx4oZNCUT58+AQAqV66c471Nxt/prVu3ctxmixYt4OPjAz8/P0RHR+f795evhCM2NlYYmahGjRpyvUF88OABjh49iipVquDHH39E06ZNIZFI4Ofnl+OIALJ8+/YNo0aNQlJSEv773/+ibdu2UFdXx9WrV7F27VrEx8dj8uTJOH36NEaNGgUdHR0sXLgQzZo1Q0pKCs6ePQtnZ2dER0fjp59+wtWrV2XuZ8yYMbh48SIAoHPnzhg0aBAsLCygpaWFhw8fwtnZGS9evMCMGTNgYGAAW1vbQh+n7Dx79kz4t7m5ucxlUlNTYWxsjN69e6N58+awsLBA2bJl8f79e/j5+WHXrl2Ii4vDxIkT4enpiVq1agnrTpgwAf369cPSpUtx4cKFLB3tZAkODkbPnj0RExODChUqYOzYsWjRogXMzMwQGxsLd3d3bN++HS9fvsSgQYNw/fr1IhsKsHz58mjVqhWuXLmC+Ph4PHz4MM8npY8fP2LatGlITEyEvr4+xo8fj5YtW0JPTw+JiYkIDg7G7du34erqmmk9JycnfP36FQMHDsSHDx/Qq1evLBf48uXLy9yns7Mznj59ipYtW2L8+PGwtrbGly9f8PLly3x/9sePH+P48eOoVKkSZs+ejebNmyM5ORkeHh7YvHkz4uPjMXfuXJiZmWV6+iEPJiYmuHXrFu7fvy80y9m8eXOmp4jS5fLqyZMnGDx4MBITE6Guro6xY8eiT58+0NHRQUBAAJycnBAQEICzZ89CTU0Ne/fuzXZb4eHhGDFiBADg119/RZs2bVCuXDncv38ff//9N8LCwrB582Z069YtX7W7BTFz5kz4+flhyJAh6N+/P0xMTBAWFobt27fj2rVreP78ORYuXJhjB8bs+Pr6CjdP3bp1k+vIgS4uLrh9+zZatWqFcePGwdraGvHx8Thz5gx27tyJL1++YNKkSbhz506+m9gmJCSgX79+QpOaunXrYty4cahfvz60tLQQFhYGPz8/nDp1Ksu60tqCH374Ad26dUPdunWhp6eHuLg4BAcHw8XFBX5+frh+/Tp+/vlnbN26VWYM48ePF5KNZs2aYerUqahevToiIyNx9OhRHD16FHPmzMnxc3z48AF9+vQRbgoGDx6MIUOGwMDAAEFBQdi+fTt8fX3h4+ODIUOG4OLFizk2w8lNWFgYJkyYAJFIhIULF+KHH36AhoYGfH19sX79ekRGRmL16tUwMTHJ9KBBLBajb9++OHr0KE6dOoUVK1Zke446f/68cBMs7wdsX758gaOjI75+/Qog/eFZbs3/5CVjk1vpgCR5Jb2Bq1ChQqba6IKSx7nu/v37mDhxIlJSUqCpqYkpU6agR48e0NLSwr1797B27VrMnTs30/VfljNnzmDcuHGQSCQwNTXFpEmThNrMDx8+4Pjx4zhx4gQuXryI6dOnZ4ll9+7dQrLRsmVLODg4wNLSEhUrVsTnz5/x77//wsPDA0+ePCnQsXr//r3QnEoeCUfG0cVkHZvnz5/nOD8ja2vrTOspIuGQJnjfJ4Pfy1hT/ubNG3z9+jXb37j0OKampsLX1zff97T5SjgCAgKEi1SjRo3ytaPcPHv2DLVr18bFixdRqVIlYXpBnoJFRkZCIpHA3d0dlpaWwvRmzZpBT08P8+bNw9u3b9G9e3cYGhri8uXLmZ4StmrVChoaGti4cSPu3r2Lhw8fZjm5ubi4CBeBffv2oXfv3pnmN2nSBMOGDcOgQYNw8+ZNoUNSfp6i58fmzZuFf/fv31/mMg4ODliwYEGWi3yjRo1gZ2eHSZMmoVu3bggNDcWaNWsy3cgYGBjAwMBASAhkdbT73tSpUxETE4M6derg9OnTWZpsdOjQAfb29rCzs0NQUBA2bdpUpB24GzRoIDwlffXqVZ5PSpcvXxba5J45cwb16tXLNL9FixYYMmQIVqxYkam5mLR6XPod0NXVzfUYSj19+hSDBw/Gtm3bMt0cSqtm8+PJkyeoWrUq3NzcMt3Yt27dGr169UKvXr0QHx+POXPm4MGDB3L9zkpH3IiKihKmVatWLc/HQZZZs2YhMTERIpEoy2+xcePGGDhwIPr37w8fHx+cPn0aFy5cQK9evWRu69WrVzA1NcWlS5eEtttA+m/khx9+QNu2bZGYmIjt27crPOG4ffs2nJycMjXDaNiwIbp164b+/fvD09MTp06dwvLly6Gnp5evbWcc0lre53JpDdGmTZsyfVfbtWsHfX19LF++HMHBwbhy5Uq+h6ZetmyZkGw4Ojpi3bp1WW7EbW1tsXjx4ixD/Kqrq+Pu3bsyH5S1a9cOo0aNwrJly/D333/jyJEjmDdvHqpXr55pOVdXV6Gdc48ePfDPP/9k2n/Xrl1hY2MjNNnMzsKFC4VkY8WKFZgyZYowr1GjRrC3t8eECRNw8uRJ+Pn5YceOHZmWya/AwEDo6Ojg8uXLmX5r0nerdOvWDeHh4fjtt99gb2+PypUrC8s4Ojri6NGj+PLlC06fPi0k5N87cOAAgPSbcnk/qPjpp5/w6tUrAMDQoUMxZswYuW4/O+fPnxce5llaWmY6J+QmNDRUqCWtX79+oRJGKXmc6+bOnYuUlBSoq6vj6NGj6NixozCvadOm6NOnD7p27Zrjjf6nT5/w008/QSKRYNCgQdiyZUumB8ONGjVCz5490aZNG8ydOxenT5+Gp6dnpnOmNNlo2rQpXF1ds1xnOnTogClTpgi/k/zK2ASwsMlpWlpaplpLWfdYoaGhwr+rVq2a4/Yyfo+yawJfWLVq1cLjx4/x5csX+Pv7Z3uez1irIZFIEBoaiho1ashcNuM2/P39851w5OuxVsaCNzAwyNeO8mL16tWZko3CWLRoUaZkQ2rUqFFCNWNkZCRWrlwps0lCxqc8Pj4+meZJJBJhBImxY8dmSTakypUrJwwf9vbtW7m/OffTp0/w8fHB4MGDhars1q1bZ5twVKtWLccnilWrVhU64F26dKlQ7Yd9fHyE4+bk5JRt+/DGjRtjwoQJAFCoNxQXRMaLan5G3ZG2TRaLxVmSjYzKlCkjt+GJdXR0sGbNGrk9if7rr79k1iI0bNgQM2bMAJDeT0dag6eq7t+/j7t37wJIvxGR9VvU0tKCs7OzcEHLrUZg5cqVMm8satSoIdwg51b1LA92dnYy23yrqakJv9Pk5GTcvn0739tW5LncyMgo2+/q1KlThXPQzZs387XdmJiYTKOurFmzJtubODU1tSzfb5FIlGut/IIFC6Cnp5epPXZGe/bsAZA+UMeGDRtk7l/aBzE7YWFhOHfuHID0l2rJSiTU1NSwbt064XpYkFqs7/38888yE3tzc3MsWbIEQPrT0O+bbbZr105IvKRJxfdCQkKEtvbDhw+Xy8211JYtW4S+U3Xq1MlTc7XCSE1NxZs3b7B27Vrh2gSk1zjmh7x/Y/I4192/f19o2z9y5MhMyYZUlSpVcm0yumvXLsTGxkJfXx8bN27MthXK+PHjhdrr77870utoy5Ytc3yolfE6nR8Zb+QLe/w3btwo9G3p27evzJv3jE0Vv28+9r2M8xXVhyPjw5w//vhDZlPS+Ph4/P3335mm5RRPxuMYHByc75jydfeSMZDsqlwKytTUVC5VjkD6hSW7m+5y5coJFx2xWIwuXbrIXM7CwkK4Wfz+wD579kzo+NivX78cY6ldu7bwg8lLp7ucrFy5MlPHWisrK/Ts2RNubm7Q1NSEg4MDjh07lucn0rGxsQgODsa///4rvARGWq6xsbE5dtDNjfRibWZmlqW5zPekw8J9+PAh207ripCxjXZ+fvTSavXo6OgszaYUxdbWVm4jlojF4myTZCA9KZdS9RHPMvZvcHR0zHY5CwsL4eLq4+OTpe+NlI6OTo4vQJK+K+Dz588Kf19ETqOqZHxnQUFO/Pm5OOZX3759s207rqOjIzw9y2/cN27cEGoWJ02aVOgRD9PS0vDhwwe8fPlSOP89f/5cSFS+f8KbkpIiJEkdOnTItnmNSCTC0KFDc/wcKSkpAHL+zurq6grXsaCgoEKdj0UiUY4dlvv37y98D2T95qVx3rp1S2an/4MHDwo3NBnPH4Xl5+eH3377DUD6+Xrfvn1yv/f4fgAUPT09NGzYEH/88YdQQz1+/Ph816rI+35JHue6jGWb0/ehd+/eOTZvll7fu3Xrlutnk17fv7//kf5+Ll26lKnGW14ybrMwD7KvX7+OP//8E0D6w5Ts+rd8+/ZN+Hdu56aML/xT1KA5Gd/h4u7ujgEDBsDX1xcJCQmIi4vD1atX0bNnTzx79ixTwpjxc3yvXLlywrm9IINC5KutRMYbNGlbSnnJ6Ulxfunp6eX4BZP+kKysrHJ8Q6muri6+fPmS5WZU+oQAQL46Wypi1A6pGjVqYOrUqdl2dJR6+/YtNm3ahEuXLuV6cx8VFZXtKBm5kR4j6ck8rz5+/Fjgt1jmV8a2jfmpiejVq5cwetqoUaPQtm1b2Nraok2bNmjQoIFCms3J8+3xucVYtWpVGBsbIywsTOWHDJaOOPf9aDKyNGvWDFevXkViYiJevXol85xTo0aNHGuRMn6X4+LiFNppNad2wBnPbwV5QpbxPCG9iZeX3NovS49ZfuOWNqUCUOD3LkgkEhw9ehT79+/HvXv3cry4ft+U4/Xr18LyuTXRyOkldhlHSczuRVtSzZo1E95fFRAQIPMdQ3lRrVq1HJvdaWlpoV69evDz85P5mx8xYgSWLl2K5ORkHDhwAP/973+FeRKJRBiCs02bNlmaoRVUVFQUxo4dK3TW3bBhA2rWrCmXbeeFtrY2WrduLTQ1Lsj6UvK4X5LHuU76Hgc1NbUcm1KWKVMGDRo0kNkqIzU1VWiSeejQoTwPZPL9/c+IESNw8+ZNBAUFoXHjxujduzc6duyIVq1aZdsPNT8y/n4L2jfU398fo0ePRmpqKsqVK4d9+/ZlO0hHxjfC5zbwUcYksKDD3uZGXV0dBw4cwIABA/Dq1St4eHjIfJjQo0cPaGpqCrWuud1DVqpUCR8+fCjQdzpfd0YZq7byOx51buTZWThjwcsivaHIbTlpMvL9yBQZR6/Jj8KedDK+aTwlJQVhYWG4ePEiDhw4gICAANjZ2eHKlSuZOiRl5ObmhtGjR+c5jpwuxrlR1jHKj4wnpPw8AalUqRKOHDmC8ePH4927d/D29hY6lEk7Bw4bNgz9+vWTWxMoef4+8lK9bGBggLCwsAK3ny0q0qZwFStWzPXEnbFZX3ZN6PJ67gDyP2JNfuUUS2HjUOS5PK/HML9xZ3ximdchfDNKSEiAg4NDjmPNZ/T9+S9jjVZuI4PlND/jdy+37eTlO5sXef3NA1kTLem8nj174uzZszh8+DAWLVokNJvy8vISOufKq3YjLS0NEyZMEJrFTJw4EQMHDpTLtr/3/QAoGhoaqFixIoyMjAp1/pb3b0we57qM28j4lF2W7EYZ+/z5s1BDlx/f/55GjhyJN2/eYN26dYiNjcU///wjJK5mZmawtbXF2LFjC9y/L+PD5MTExHw3b37+/DkGDhyI2NhYlClTBi4uLmjVqlW2y+fnIU7G+bnd4BeGubk5rl+/DicnJxw6dChTLamFhQUmTZqEKVOmZKpNz+0hmrQcC/JgNV9r1K1bF+rq6khNTc1xrP6CkGebT0XLeKF0cXHJtoPN9wr7NPT7N403aNAA3bt3h62tLYYPH47Pnz9jwoQJcHd3z3I8o6KiMGHCBHz9+hXa2tr48ccfhXGzdXR0hCo1T09PoZlYYfpwSI9RzZo1cxwV6HsFfYJXEBmfmGaXpGWnZcuWuHfvHlxdXXH58mXcunULISEhiI+PF4a0bNq0KY4cOVKgYUu/J8/fR061esVVSfxMipSxxkz6FK+kW716tZBstG3bFhMnTkTDhg1haGiIcuXKCTeXPXv2hI+Pj9zfgSFLUX1v5bEfR0dHnD17FqGhobh27Zrw1m1p23wdHR3Y29sXej9A+juFpE2ImjRpgr/++ksu25UlLwOgFISJiQn09fURGRmJJ0+eIDU1VS7ncXmUZWG2kfH+Z+jQofnu25LRwoUL4ejoiBMnTsDT0xN+fn6Ii4tDSEgIduzYgZ07d2L+/PmZhrfOq4wP6T5//pyv6/Dr169hb2+PqKgoqKurY+fOnbnWcmXsM5ZbR/CMQ2Hn1sG8sCpWrIhffvkFv/zyCz59+oRPnz5BV1c300OIwMBAAOm/4ZwGRkhLSxNeIVGQh6D5Sjh0dHRgY2MDf39/vHr1CoGBgXKrPi1OMlZN6+joKORklR89evTAuHHjsHPnTjx8+BAHDx7M0sbzzJkzwvBnBw4ckNlZDIDc2qXr6enh5cuXiIuLU/rxkSU+Pl5oU6qtrS20dcyPsmXLYsCAARgwYACA9JPI1atXsXPnTjx58gT37t3DrFmzsu1oqSx5adonfSL3fYe9jE/8cntBWlHUVklrpmJjY5GQkJDjk7+M7+SR1+AUxVWrVq2Eh0dubm5IS0uT69C4ipDxuxgeHp6vBzgSiQT79+8HkN4c69y5c9l+3uzOgRn3l1sNbk7zM373IiIicuybJa/vbGF+81KdO3eGqakp3r17h/3796N79+6Z3ucyYMAAufRVuHr1qjDYSqVKlbB37958D42vKtq0aYOzZ88iPj4eN27cyPa6mxfyONdJv8OxsbFITEzMsZYju+9M5cqVIRKJIJFIIJFICn19NzU1xcyZMzFz5kzhYfa5c+ewe/duxMbGCkMgZzeyYHYyNs3Oz33Nu3fv0LdvX3z48AEikQibN2/Ota8ukLkpacYhcmXJOJx9bk1Q5aly5cpZft+fPn0Saj4aN26cYzIaGxsrXPfzM2KbVL6vMNKORhKJJNtxyku6jDen349gpSwLFiwQOv39/fffSEpKyjRf2v6zUqVKOZ70MvZPkSWvT0akT1BDQ0ML1dlRUQ4cOCBk6j179pTLkydTU1OMGTMG7u7uwkn40qVLWaqSlf00/tGjRzlWiYeGhgpDin5/MclY/ZvTSTwqKirHjoDyOgbSl3KmpaXl+t29d+8egPREMa+1kiWVrq6uMHDAu3fvhPa7qixjm/P8jhL2+fNn4SbM3t4+22QjLi4u23fbWFpaCjd5GWtHZcnpu5jxRbLSUYeyI/3OAll/i/nx5s2bHH+PiYmJQt+N7PajpqYmvF9D2tH3+PHjwvlNHs2pQkJCMGnSJKSlpUEkEmHr1q1yac+vLBk7Zjs7OxdqW/I410nLNi0tLcdWKikpKZmGzs6oTJkyQiy+vr5yrQlUV1dH06ZNsWTJkkxvs5aOUpYftWvXFv4tHVI5N+Hh4ejXr5/Qv3XNmjUYPnx4ntatVq2aUMuR2wh80ibYZcuWzbG/V1E4d+6ckETk1mwx47kxuxdi5yTfCceoUaOE0QV27doFT0/PPK975swZuXdQVIYGDRoI2d3+/fsVNqxZfhgYGAijaLx79y5LRy5pNWhiYmK2T6a/fv2KI0eO5Lgf6QX3+4TmexmHZNuyZUuOyxa1Fy9eCKNOiEQizJo1S67b19TUFDq1pqSkZHqLPZD3Y6gouY2ulbFG5vvkNGOTt5wueseOHcsxhoxP5wpzHDp16iT8O6eapDdv3ghNNFq3bp1r++XSYPbs2cKN9/z58zM9Fc1JWlparucJRWjfvr3wUGXHjh35akeecdmcat5cXFyy3a6GhoYw4o6np2eW93xISSSSHI9P+/bthfbPOX1nY2NjhRcYWllZFaq5acaO3bKcOnVKuDbn9EBq1KhRUFdXR3JyMg4fPizEX6dOHTRr1qzA8QHp54GxY8cKfUhmz56NHj16FGqbyta9e3fhAeXly5fzNfT7zZs3M43kJo9zXcayzamzd8aXOMoirW14+/atUMMlby1atBBqzAoyilXDhg2F35l0SNucREVFwd7eXmhetHTp0kyvR8iNSCQS7ntevXqV7cPot2/fCkNId+zYUaF9OHLz7ds3rF69GkD6w+jcEo6MD0gK8jLFfCcc5cqVw/bt26Guro60tDQMHz5c5qvpM4qMjMTPP/+M0aNH59p7vzhQU1PD3LlzAaQ/DR4/fnyOF7GEhARs375dYcOfSc2YMUO4kVu7dm2mC6d0KOCvX7/KfAtvamoqZsyYgQ8fPuS4D2lntIiIiBzfYNmxY0dhBJbt27fneqINDg7O9SZVHs6dO4cePXoISeLcuXPzPULatWvXcjxOCQkJwsmmYsWKWUaHkR7D169f52u/8rRo0SKZN0yPHz/Gxo0bAaTX2Hw/RKxYLEb9+vUBpA+FKetCEBAQgGXLluW4/4ydGgtzHJo0aSKc+A4dOiS8yDGjxMRETJ8+Xfg9TJo0qcD7K0kaNWqEBQsWAEh/stejR49cn9w/ffoU9vb22LRpU1GEmImurq5wAxAQEIA5c+Zk+/BEOuStlL6+vtDm+Pjx4zKHRb5//36u31vpQ52kpCShCcj3Nm/enONxNDY2FkY3vHHjhjAKVUYSiQRz584Vbr7l8Z1dtWqV8BK7jN69e4fff/8dQHoNZnYv9gPS25t37doVQPq7CaQPHeRRu7Fo0SLhhqZdu3ZYtGhRobepbCKRCDt27BAS5RkzZmDr1q05Dpjw5csXLFu2DP369cv0sEoe57qmTZsKI6zt379fuPHNKDw8PNcX8E6ZMkVoCjhr1qxc+/TeunUr05u6AeDw4cM53g/6+PgI91UFSbYrVqwo3IPklnDExMRgwIABQkuQhQsX4scff8z3PqdOnSokOQsWLMjygD0lJQVz5swRyl/6zitFyek+JT4+HmPGjBFqc5YtW5brEOnS42hoaCjcB+RHgcbv/OGHH7B582bMnDkTX79+xbhx44R2bg0aNEClSpUQHx+PkJAQuLu748KFCypRCyBPY8aMgYeHB86cOYPLly+jRYsWGDt2LJo3bw6xWIz4+HgEBgbCx8cH58+fR0xMTI4ncnkwMjKCg4MDduzYgTdv3uDo0aPCPvv3748///xTOCE9fvwYnTp1go6ODv79919s374d/v7+aNWqFXx9fbPdR8uWLQGkX9DnzJmDSZMmZbqhzvhirR07dqBLly6IiorC9OnTceLECQwaNAg1a9aEhoYGPn36hCdPnsDNzQ03b95E7969MXjw4EIdg8DAQOFHnpaWhi9fviAiIgIPHjzAxYsXM11wx48fX6CL2vHjx3H8+HF06NABnTt3Rt26dVGpUiV8/foVL1++xK5du4ThBx0dHbOM5tCyZUvcuHED9+/fx7p169C1a1fhh66lpSXzhXzyVL9+fTx//hwdOnTA7Nmz0bx5c6SkpMDDwwObNm1CXFwcRCIRVq9eLXM88UmTJmHGjBmIiIiAra0t5s2bh1q1aiE2NhbXr1/H9u3bYWRkBE1NzWzbspuZmaFq1ap4//49Nm3aBBMTE1hbWwtN2wwMDPI8qsiGDRvQpUsXJCYmYsSIERg/fjzs7OyE7/amTZuE8rC3t893W+CSbN68eYiIiMDOnTsRHByMjh07wtbWFj169ECNGjVQsWJFfP78GS9evMCVK1fg7u6OtLS0Al1s5GHhwoW4fv06njx5AhcXF9y7dw/jxo2DjY0NypYti/DwcNy5cwcnTpzA4MGDhc6mampqGDJkCHbs2IGnT5/C1tYW06dPR/Xq1REbG4srV65g165dqFChAoyNjbNtgtG3b1907twZ7u7uuHz5Mnr06IFp06bBysoKUVFROHLkCI4ePYqmTZsKzVpkNR9ctmwZPD098enTJ8ydOxd+fn4YPHgw9PT0EBwcjG3btgkPLVq0aIGJEycW6rhVr14dERER6N69O2bMmIH27dtDXV0dt2/fxvr164X+G7/99luuL1pzcHDA5cuXhRoxTU1NDBs2rFDxnTx5Ejt27ACQ/s6Kn3/+Odd28BlpamqqbDPJWrVqYf/+/RgzZgxiY2Pxyy+/YPfu3RgwYACaNWsGfX19JCQkIDQ0FJ6enjh37ly2owPK41y3Zs0a2NraIiUlBYMHD8bUqVPRvXt3aGlp4d69e1i7di0iIyNRv379bN82rq+vD2dnZzg4OCAqKgrdu3fHkCFD0KNHD5iZmSE1NRVhYWF48OABXF1d8e+//+Lvv//O9K61KVOm4Ndff4WdnR1atmwJKysraGlpISoqCrdu3RK+DxoaGgUe1KJ3797w8fHBo0eP8PnzZ5n9oBITEzF06FDhIUHv3r3Ru3dv4TjKkt33zcrKCrNmzcLq1avx6NEjdOvWDbNnz0aNGjXw7t07bNmyRfhdDx06FG3bts12H98/pM3YxO3atWvCyHBA+r2f9EFARmvXrsWNGzfQr18/NG/eHAYGBvjy5Qvu3buHXbt2CdsYP358rk3H0tLShGGS7ezsCtQsusAvDBg+fDgsLS0xf/58PHr0CPfv388xi9TT08OCBQvk9vIyZROJRNi1axeMjY2xY8cOvHv3TmimI0uFChWKZCSumTNnYt++fUhKSsLatWsxbNgwqKmpoWrVqlizZg1mzJiBhIQErF+/XnhbutSAAQMwevToHDtI/fDDD2jevDnu3LmDY8eOZamVyFgNa2FhATc3Nzg6OuLJkydwd3eHu7t7ttuWx1u5pR24c1K3bl0sWrQoU7Ov/EpOTsbVq1dx9erVbJext7fPNF691Lhx47Br1y58/vwZv//+u/B0EUgfPUfRLxO0sbHBpEmTMGfOHPzyyy9Z5qurq2PFihWwtbWVub6DgwOuXbuGM2fO4OXLl1meopmbm+Pw4cO5lsWcOXMwd+5cvHnzJksy7uTklOOLqTKqX78+jh49itGjRyM6Ohrbtm3Dtm3bsizXt2/fUtvvLDtqampYvXo1GjZsiKVLlyI8PBwXL17M8Q3zdevWzfFcp0jlypXDuXPnMGbMGHh6euLp06dCbXNuFi9eDF9fXzx+/BgPHjzI9BZpIL1JgYuLC5YtW5Zjm+/du3dj4MCBuHfvHu7evZul2UWDBg2wZs0aofmKrM69VapUwdmzZzF06FC8f/8ehw8fxuHDh7Ms17p1axw6dKjQ1w5jY2MsX74cY8eOzfYt0rNmzcpTYmNrawsjIyMh4bC1tc3xHR95kbGW5+vXr/ke7crMzCzbPgeqoHPnzrhy5Qp+/vlneHt748WLF1ixYkW2y2tra+Onn37K0qFYHue6Zs2aYevWrZg2bRoSExOz3AtoaGhgzZo18PX1zTbhANJvOo8ePYrJkycjKioKBw4cyLGpl6zre0REBPbu3ZvtSJblypXDhg0bcn3vTXYGDRqE3377DcnJyTh9+jTGjh2bZZmwsLBMD1nPnz+fazOxnL5vixYtwqdPn7B7924EBATI/E316tVLaEmQnenTp2c77/t7t7Zt28pMOID0F1XLqtkE0hOn2bNny7wP+N6NGzeEVhEFfcBQqDeUtWrVCp6ennBzc8Ply5fh6+uL8PBwREdHo3z58qhSpQoaNWqEHj16wM7OrsS1m9bQ0MDKlSsxduxY7Nu3D97e3ggJCcGXL19QoUIFVK1aFTY2NujcuTPs7OxyHZ9eHkxNTTF8+HDs27cPr169wsmTJzFo0CAA6dXe1tbW2LhxI27fvo2YmBjo6emhfv36GDlyJPr37y/zRT8Zqamp4eTJk9iwYQMuXbqE4OBgxMfHZ9txzMrKCl5eXjh79izOnDmDe/fuISIiAikpKRCLxahevTqaN2+Onj17Cu2j5UVTUxMVK1aErq4urK2t0ahRI3Tp0gUtWrQo1HaXL1+OTp064caNG3j69CnCw8MREREBdXV1GBsbo1mzZhg2bFi2b7E3MTGBu7s71q5di5s3byI0NFThze2+5+joiHr16sHZ2Rk+Pj6IiIhApUqV0LZtW8yYMSPHl0KJRCLs3r0b+/fvx8GDB/Hs2TOkpqbCzMwMffr0wY8//pinEYTGjx8PAwMD7N27F48fPy7w+O5A+puf79+/j61bt+LKlSsICgpCQkIC9PX10axZM4waNUoYxpOycnBwwKBBg3Dy5Em4u7vD398fkZGRiI+Ph46ODqpVq4ZmzZqhX79+aNu2rVIHPqhUqRLOnDmDS5cu4dixY/Dz80NERAQkEgkMDAxgY2MDW1vbLAmvrq4uLl++DCcnJ5w6dQpBQUHQ0NBA1apV0b17d0yZMiVPQ1SKxWJcunQJO3bswNGjR/Hq1SuIRCJYWFhgwIABmDp1Kl68eCEsn91Dtvr168PPzw+7d++Gq6srnj9/jri4OFSuXBkNGzbE4MGDMWjQILkd6+7du+P69evYvHkzPDw8EB4eDm1tbTRv3hxTpkzJ8whKGhoaGDhwoNA3T9qRvDCKYghiZatduzbOnz+PW7duwdXVVTj3f/78GVpaWjAwMEDDhg3RuXNn2NvbZ/sATh7nukGDBqF+/fpYt24dvLy8EBUVBX19fbRs2RLTp09Hs2bNcmzpINW1a1c8fPgQ+/fvx5UrV/Dvv//i06dPUFNTg76+PmrVqoW2bduiT58+WYae9/HxgZubG3x8fBAcHIyPHz8iJiYG5cuXR/Xq1dGxY0eMGzeuUC8CNjIyQp8+fXDq1CkcPXpUZsIhbyKRCGvXrkWfPn2wZ88e3L17F5GRkahUqRJsbGwwatQouQ0fnZsxY8ZAV1cX3t7eePv2LaKiolCuXDmhaaSDg0OeawaPHj0KIP2BpbSlS36JoqOjS/4vnYiIqIgcOXIEkydPBpDe7jljU9OSwN7eHh4eHqhatSoeP36s8kMqU+n14MEDdOrUCSKRCH5+fvl+5xal93GxsbFBbGwsduzYUeCm7zxLEBERyZH0zdV6enqwtLRUcjTy9ebNG2F0yuHDhzPZIJXWuHFj9OzZExKJBKtWrVJ2OMXS1q1bERsbi9q1a+c6klVOeKYgIiLKow8fPuQ6tK50BKGhQ4cq/b078rZp0yZIJBKoq6uXijfUU/H3xx9/oEyZMjhx4kS279kh2WJjY4V3yPz555+FesBQqD4cREREpYmXlxcWLlyIAQMGoF27dqhWrRrS0tLw+vVrnDp1Suhwqq+vjzlz5ig52sL79u2bkGRduXJF6OA9ZMiQQrWvJyoq1tbW2Lp1K168eIHQ0FA2q8qHt2/fYvLkydDT00O3bt0KtS324SAiIsqjjP0zsmNkZIQjR47kOPhCcXHjxg3hvSFShoaGuHHjRqb36RAR5YQ1HERERHnUrVs3rFu3DlevXsXz588RGRmJuLg46OrqombNmrC1tcW4cePkMsy3qjE2Nkbbtm3x66+/MtkgonxhDQcRERERESkMO40TEREREZHCMOEgIiIiIiKFYcJBREREREQKw4SDqAgkJCQgKCgICQkJyg6lVGM5qA6WhWpgOagOlgWVZEw4iIpIamqqskMgsBxUCctCNbAcVAfLgkoqJhxERERERKQwTDiIiIiIiEhhmHAQEREREZHCMOEgIiIiIiKFYcJBREREREQKw4SDiIiIiIgUhgkHEREREREpDBMOIiIiIiJSGCYcRERERESkMEw4iIiIiIhIYZhwEBERERGRwjDhICIiIiIihWHCQURERERECsOEg4iIiIiIFEZD2QFQ8Sfe817ZIchN9Niqyg6BiIiIqERhDQcRERERESkMEw4iIiIiIlIYJhxERERERKQwTDiIiIiIiEhhmHAQEREREZHCMOEgIiIiIiKFYcJBREREREQKw4SDiIiIiIgUhgkHEREREREpDBMOIiIiIiJSGCYcRERERESkMEw4iIiIiIhIYZhwEBERERGRwjDhICIiIiIihWHCQURERERECsOEo4gdOXIEs2bNQseOHWFoaAixWIyDBw/muE5wcDBmzJiB+vXrw9DQENbW1ujduzdOnz5dNEETERERERWQhrIDKG2WLl2KkJAQ6OnpwcjICCEhITkuf/36dYwcORIAYGtrCwsLC0RHR+Pp06fw8PCAvb19EURNRERERFQwTDiK2KZNm2BlZQVzc3OsW7cOv//+e7bLhoSEYPTo0ahSpQpOnz4NMzOzTPNTUlIUHS4RERERUaEw4ShiHTt2zPOya9euRWxsLPbv358l2QAADQ0WHxERERGpNt6xqiiJRILTp0+jcuXK6NChA/z9/eHt7Q2JRAIbGxv88MMPUFNjFxwiIiIiUm1MOFTUmzdv8PnzZzRu3BizZs3C3r17M81v0KABDh06hKpVq+ZpewkJCQqIsuRR1HFKSkrK9H9SDpaD6mBZqAaWg+oorWWhpaWl7BCoCDDhUFEREREAgEePHuHly5dwcnKCnZ0dYmJisHbtWuzbtw+jR4/G1atX87S90NBQpKamKija8grabtEzPhSlwK2XB/BFgdv/f3fafS2S/RRX4eHhyg6B/odloRpYDqqjNJWFuro6rKyslB0GFQEmHCoqLS0NAJCamoqFCxcKI1WJxWJs2LABT58+xd27d+Hj44PWrVvnuj0TExMFRqvIm3QqCFl9fij9yWF4eDiMjIygqamp7HBKNZaFamA5qA6WBZVkTDhUlI6OjvDvXr16ZZlva2uLu3fv4sGDB3lKOFhlWbqwvHOmqanJY6QiWBaqgeWgOlgWVBKx17GKsrS0hLq6OgBAV1c3y3zpNPbNICIiIiJVxoRDRWlpaaFFixYAgGfPnmWZ//z5cwCAubl5kcZFRERERJQfTDhU2Pjx4wEAK1asQGJiojD9xYsX+Oeff1CxYkV07dpVWeEREREREeWKfTiKmIuLC3x8fAAAAQEBAID9+/fD29sbANC6dWs4OjoCAAYOHIhz587hzJkzaNeuHTp37ozY2FicO3cOCQkJ2Lp1K8RisVI+BxERERFRXjDhKGI+Pj44dOhQpmm+vr7w9fUV/pYmHCKRCLt27UKLFi1w4MAB7N27F2XLlkWLFi0wZ84ctGvXrkhjJyIiIiLKL1F0dLRE2UFQ8Sbe817ZIdB3osfm7YWQpU1CQgJCQkJgZmbGUWCUjGWhGlgOqoNlQSUZ+3AQEREREZHCMOEgIiIiIiKFYcJBREREREQKw4SDiIiIiIgUhgkHEREREREpDBMOIiIiIiJSGCYcRERERESkMEw4iIiIiIhIYZhwEBERERGRwjDhICIiIiIihWHCQURERERECsOEg4iIiIiIFIYJBxERERERKQwTDiIiIiIiUhgmHEREREREpDBMOIiIiIiISGGYcBARERERkcIw4SAiIiIiIoVhwkFERERERArDhIOIiIiIiBSGCQcRERERESkMEw4iIiIiIlIYJhxERERERKQwTDiIiIiIiEhhmHAAiIyMhKenJ169epVl3p49e9C2bVtYWVlh8ODBePnypRIiJCIiIiIqnphwANi6dSv69++PO3fuZJq+d+9ezJ07FwEBAfj8+TOuXr2KPn364NOnT0qKlIiIiIioeGHCAeDGjRtQV1dHnz59Mk1fu3YtAOCnn37CgQMH0Lp1a3z8+BFbtmxRRphERERERMUOEw4AISEhMDIygra2tjDt8ePHCAkJQcuWLfHHH3/Azs4Oe/bsgbq6Oi5fvqzEaImIiIiIig8mHAA+ffoEY2PjTNN8fX0BAL169RKmGRkZwcrKCsHBwUUZHhERERFRscWEA4Camhri4uIyTfPz84NIJEKrVq0yTdfR0UFSUlKB93XkyBHMmjULHTt2hKGhIcRiMQ4ePJindYODg1G1alWIxWLMnj27wDEQERERERUVDWUHoArMzc0RFBSEz58/o1KlSkhOToa7uzvKlSuHxo0bZ1o2KioKenp6Bd7X0qVLERISAj09PRgZGSEkJCRP66WlpWHq1KkF3i8RERERkTKwhgNA586dkZycjPHjx+PixYv46aef8OnTJ3Tp0gUaGv+fk8XExAi1DAW1adMmPHr0CIGBgRg3blye13NycsKdO3ewaNGiAu+biIiIiKiosYYDwKxZs3Dy5Elcv34dHh4ekEgk0NLSwoIFCzItd+nSJUgkErRu3brA++rYsWO+13nx4gX++usvzJ49GzY2NgXeNxERERFRUWMNBwBDQ0O4u7tj8uTJ6Ny5M8aMGQMPDw/Uq1cv03I+Pj6oX78+evToUWSxpaamYurUqbCyssK8efOKbL9ERERERPLAGo7/MTExwYoVK3JcZv369UUTTAZr167Fw4cPcfXqVWhqahZ4OwkJCXKMilQdy1s26YAPhRn4geSDZaEaWA6qo7SWhZaWlrJDoCLAhEOFPX78GH///TdmzJiBRo0aFWpboaGhSE1NlU9gWZRX0HapoPI6GEFpFR4eruwQ6H9YFqqB5aA6SlNZqKurw8rKStlhUBFgwvGdBw8ewNPTE+/fv8e3b9+wefNmYV5YWBiSk5NhZmam8DiSkpKEplTf9yUpCBMTEzlElZ0oBW6bCqIovqPFUVJSEsLDw2FkZFSoGkMqPJaFamA5qA6WBZVkTDj+Jzw8HJMnT4aXlxcAQCKRQCQSZUo4li5din/++QeXL19G8+bNFRrP2rVrERAQgCtXrqBs2bKF3h6rLEsXlnfONDU1eYxUBMtCNbAcVAfLgkoidhoHEBcXhz59+sDT0xNVqlTB8OHDZQ59O2zYMEgkEly4cEHhMT169AhpaWno2rUrxGKx8F+fPn0AAHv27IFYLMaIESMUHgsRERERUUGxhgPp77h4+fIlunfvjl27dkFbWxs9e/ZEaGhopuVat26NsmXLwtPTU+ExderUSeYLBsPDw3HlyhXUrFkTLVu2RIMGDRQeCxERERFRQTHhAHD27FloaGhg06ZN0NbWznY5aeem169fKzymiRMnypx+48YNXLlyBW3btsW6desUHgcRERERUWEw4QAQHBwMKysrGBoa5rqstrY24uLiCrwvFxcX+Pj4AAACAgIAAPv374e3tzeA9FoUR0fHAm+fiIiIiEiVMOEAIBKJ8rxsdHQ0KlSoUOB9+fj44NChQ5mm+fr6wtfXV/ibCQcRERERlRRMOACYm5sjKCgIX79+Rfny2b9T4uPHjwgMDETTpk0LvC9nZ2c4OzsXeP327dsjOjq6wOsTERERERUljlIFoGvXrkhKSsr1TeLLli2DRCJB9+7diyYwIiIiIqJijgkHgOnTp0NbWxurV6/GwoUL8erVq0zznz59ismTJ2Pfvn3Q09PDhAkTlBQpEREREVHxwiZVAIyMjLB//344ODhg69at2Lp1qzBPT08PEokEEokEFStWxN69eyEWi5UXLBERERFRMcIajv/p0KEDPD09MWjQIJQrV05IMtLS0qCpqYm+ffvC3d0dbdu2VXaoRERERETFBms4MrC0tMT27duRkpKCwMBAYUSqGjVqQEtLS9nhEREREREVO0w4ZNDQ0ECtWrWUHQYRERERUbHHJlVERERERKQwpa6G4/uX7hXU8OHD5bIdIiIiIqKSrNQlHNOmTcvXm8Wzw4SDiIiIiCh3pS7haNOmTbYJh5+fH5KTk6GhoQETExMYGhri48ePCA0NRUpKCjQ1NdG8efMijpiIiIiIqPgqdQmHq6trlmlpaWkYM2YMNDQ08Msvv2DChAnQ0dER5sfGxmLnzp1Ys2YNKleujH379hVlyERERERExRY7jQNwcnLC+fPnsXv3bsyZMydTsgEAOjo6mDNnDnbt2oXz589jy5YtSoqUiIiIiKh4YcKB9I7kZmZmsLW1zXE5W1tbmJmZ4eDBg0UUGRERERFR8caEA0BwcDD09PTytKyenh6Cg4MVGxARERERUQnBhAOAlpYWXrx4gbi4uByXi4uLw/Pnz/nWcSIiIiKiPGLCAaB169b4+vUrZs6ciaSkJJnLJCcnY9asWfj27RvatGlTxBESERERERVPpW6UKll++eUXXL16FadOncKtW7cwevRo1KlTBwYGBoiIiMCzZ8+wb98+hIWFoUyZMliwYIGyQyYiIiIiKhaYcACwsbHBgQMHMHnyZISFheHvv//OsoxEIoGuri62bdsGGxsbJURJRERERFT8MOH4n27duuHOnTvYtWsXrl69KvTp0NbWRs2aNdG1a1eMGzcO+vr6yg6ViIiIiKjYYMKRgZ6eHubPn4/58+crOxQiIiIiohKBncaJiIiIiEhhWMPxneTkZNy9excvX77Ely9fULFiRdSsWRNNmzZFmTJllB0eEREREVGxwoQjg82bN2PDhg2IiorKMk9PTw+zZ8/GtGnTlBAZEREREVHxxITjf6ZNm4bDhw9DIpFAXV0dVapUgbGxMcLCwvDhwwdERkZi8eLFePLkCbZs2aLscImIiIiIigX24QBw9uxZHDp0CGXKlMHPP/+MV69e4fHjx3Bzc8Pjx4/x6tUrzJs3D5qamjh8+DDOnTun7JCJiIiIiIoFJhwA9u3bB5FIhC1btmDRokUQi8WZ5ovFYixcuBBbtmyBRCLBvn37lBMoEREREVExw4QDgL+/P6pUqYKBAwfmuNyAAQNgYmKCBw8eFFFkRERERETFGxMOAHFxcTA2Ns7TssbGxoiLi1NwREREREREJQMTDqSPQPX69WukpqbmuFxKSgqCgoKgp6dX4H0dOXIEs2bNQseOHWFoaAixWIyDBw9mWS45ORlnzpzBlClT0KJFC1StWhWmpqbo0qULdu3alWusRERERESqgAkHgJYtWyI6OhqrV6/OcbnVq1cjOjoarVq1KvC+li5dir179yIkJARGRkbZLvf69WuMHj0a58+fR40aNTBhwgQMHjwYoaGhmDt3LkaMGAGJRFLgOIiIiIiIigITDgDTp08HAKxcuRLDhg2Dl5cXIiMjAQCRkZHw8vLC0KFD8ffff0NNTU1YviA2bdqER48eITAwEOPGjct2OW1tbaxevRrPnz/HP//8g99//x3r1q3D3bt30bhxY1y+fBlnzpwpcBxEREREREWBCQeAZs2a4c8//wQAXLlyBfb29qhZsyb09fVRs2ZN2Nvb48qVKwCAP/74A02bNi3wvjp27Ahzc/NclzMxMcGECRNQoUKFTNMrVKggJDw3b94scBxEREREREWBCcf/TJ8+HadPn0a7du2gpqYGiUSC1NRU4UWAHTp0wJkzZwpVuyEvZcqUAQCoq6srORIiIiIiopzxTeMZ/PDDD/jhhx/w9etXBAUFIS4uDtra2rCyskL58uWVHZ7gwIEDAIDOnTvneZ2EhARFhUMqiOUtW1JSUqb/k/KwLFQDy0F1lNay0NLSUnYIVASYcMhQvnx51K9fX9lhyLR37164ubnhhx9+QPfu3fO8XmhoqAJHtlKdZIzShYSEKDsElRYeHq7sEOh/WBaqgeWgOkpTWairq8PKykrZYVARKLUJR3BwMN6/fw8dHR3Y2NjkuvyTJ08QExMDU1NTVKtWrQgizOrSpUuYN28ezMzMsH379nyta2JioqCoACBKgdumgjAzM1N2CCopKSkJ4eHhMDIygqamprLDKdVYFqqB5aA6WBZUkpXKhCM5ORn9+/fH27dvcejQoTwlHKGhoRg2bBhq1KgBX19fqKkVbfeXK1euYPTo0TA0NMS5c+fy/KJCKVZZli4s75xpamryGKkIloVqYDmoDpYFlUSlstO4q6srgoOD0bt37zw3S+revTv69euHV69ewdXVVcERZnb58mU4ODhAT08P586dg4WFRZHun4iIiIiooEplwnHu3DmIRKJ8jzg1ffp0SCQSnD17VkGRZXX58mU4OjqiUqVKOHfuHNs6EhEREVGxUioTjgcPHkBXVxctWrTI13pNmzaFWCzG/fv3FRRZZm5ubnB0dIRYLMa5c+dQvXr1ItkvEREREZG8lMo+HOHh4QWqKRCJRDA1NcXr168LvG8XFxf4+PgAAAICAgAA+/fvh7e3NwCgdevWcHR0xIsXLzBq1CgkJiaiXbt2OH78eJZtmZubY+TIkQWOhYiIiIhI0UplwpGamiq8PC+/NDQ0kJKSUuB9+/j44NChQ5mm+fr6wtfXV/jb0dER4eHhSExMBACcOHFC5rbatm3LhIOIiIiIVFqpTDgqV66M0NDQAq374cMHVK5cucD7dnZ2hrOzc67LtW/fHtHR0QXeDxERERGRKiiVfTjq1KmDjx8/4vnz5/la79mzZwgPD0ft2rUVFBkRERERUclSKhOOTp06QSKRYM2aNflab/Xq1RCJROjcubOCIiMiIiIiKllKZcLh6OgIXV1dHD9+PM9Jx+rVq3HixAno6OjA0dFRwRESEREREZUMpTLh0NHRwd9//w2JRIK//voLdnZ2OHfuXJY+E9HR0Th79ix69eqFZcuWQSQSYcWKFdDR0VFO4ERERERExUyp7DQOAEOGDEFkZCT++9//wsfHRxiqVkdHB9ra2oiLi0NsbCwAQCKRQF1dHUuWLMGwYcOUGTYRERERUbFSKms4pKZNm4ZLly4JfTokEgliYmLw/v17xMTECNM6d+6Mixcv4scff1R2yERERERExUqpreGQatasGU6cOIGoqCj4+PggNDQUX758QcWKFWFiYoLWrVtDT09P2WESERERERVLpT7hkNLT00Pv3r2VHQYRERERUYlSqptUERERERGRYjHhICIiIiIihWHCQURERERECsOEg4iIiIiIFIYJBxERERERKQwTDiIiIiIiUhgmHEREREREpDBMOAB8+vQJnz59UnYYREREREQlTqlNOOLj4/Gf//wHNWrUEP6rXr06Fi5ciPj4eGWHR0RERERUIpTKN42npqaif//+uHv3LiQSiTD906dP2Lp1K+7du4cLFy5AXV1diVESERERERV/pbKGw8XFBXfu3IFIJMK4ceOwd+9e7N27F+PGjYNIJMKdO3ewf/9+ZYdJRERERFTslcoajlOnTkEkEmHNmjUYM2aMML1fv36oV68e5s6di5MnT2aaR0RERERE+VcqazgCAgKgq6srM6EYO3YsdHV1ERAQUPSBERERERGVMKUy4YiOjoalpaXMeSKRCJaWloiJiSniqIiIiIiISp5SmXCkpqaibNmy2c7X0tJCampqEUZERERERFQylcqEg4iIiIiIikap7DQOAJGRkTh06JDMeREREQCAw4cPZxo2N6Phw4crLDYiIiIiopKi1CYcgYGBmD59eo7LTJs2TeZ0kUjEhIOIiIiIKA9KZcJhamoKkUik7DCIiIiIiEq8UplwPH78WNkhEBERERGVCuw0TkRERERECsOEo4gdOXIEs2bNQseOHWFoaAixWIyDBw9mu3xsbCwWLlyI+vXrw9DQEDY2Nvj1118RFxdXhFETERERERVMqWxSpUxLly5FSEgI9PT0YGRkhJCQkGyXjY+Ph52dHR4/fozOnTtj0KBBePToETZt2oSbN2/iwoUL0NLSKsLoiYiIiIjyp1QmHLmNTpUbkUiEzZs3F2jdTZs2wcrKCubm5li3bh1+//33bJfdsGEDHj9+jFmzZmHJkiXC9CVLlmD9+vXYsmUL5syZU6A4iIiIiIiKQqlMOP755x+IRKJs37GRHek6hUk4OnbsmKflJBIJ9u/fD21tbcybNy/TvHnz5mHnzp1wcXFhwkFEREREKq1UJhzDhg1T+WFxAwMD8eHDB3Tp0gUVKlTINK9ChQpo2bIlrl27hnfv3sHU1FRJURIRERER5axUJhzOzs7KDiFXgYGBAAArKyuZ862srHDt2jUEBgbmKeFISEiQa3yk2ljesiUlJWX6PykPy0I1sBxUR2ktC/ZFLR1KZcJRHMTGxgIAdHV1Zc7X0dHJtFxuQkNDkZqaKp/gsiivoO1SQeU0GAEB4eHhyg6B/odloRpYDqqjNJWFurp6tg9WqWRhwpFPERERSEhIgJmZmbJDyRcTExMFbj1Kgdumgihu38+ikpSUhPDwcBgZGUFTU1PZ4ZRqLAvVwHJQHSwLKslKZcLRsGFDVKpUCZs3b0b9+vXzta6joyP8/PwQFaXYm2xpDUZMTIzM+dKaDelyuWGVZenC8s6ZpqYmj5GKYFmoBpaD6mBZUElUKl/89/btWzx69Ag9evTA0aNH871+fke3Kojq1asDAIKCgmTOl06XLkdEREREpIpKZcIh9fXrV0yZMgULFixQYP+GgqlevTqqVKmC27dvIz4+PtO8+Ph43L59G9WqVeMIVURERESk0kptwtG0aVNMmDABEokEO3bsQJ8+ffDx40dlhyUQiURwcHBAXFwcVq1alWneqlWrEBcXh9GjRyspOiIiIiKivCmVfTgAQENDA6tWrUKTJk0wd+5c+Pr6olOnTti7dy+aN2+usP26uLjAx8cHABAQEAAA2L9/P7y9vQEArVu3hqOjIwBg5syZuHDhAtavX49Hjx6hYcOGePjwIdzd3dGkSRNMnTpVYXESEREREclDqU04pIYPH466devCwcEBISEh6N27N5YtW4bx48crZH8+Pj44dOhQpmm+vr7w9fUV/pYmHBUqVICrqytWrFiBc+fO4caNGzAyMsKPP/6IBQsWoFy5cgqJkYiIiIhIXkp9wgGkj1rl5eWFcePG4fr165g3bx7u37+PtWvXomzZsnLdl7Ozc75ePKirq4vly5dj+fLlco2DiIiIiKgolNo+HN8Ti8U4ceIE5syZAwA4dOgQbG1t8e7dOyVHRkRERERUfDHhyEAkEuHXX3+Fi4sLtLW14e/vjw4dOsDT01PZoRERERERFUtMOGTo3bs3rl27hpo1a+LTp08YOHAg1q9fr+ywiIiIiIiKHSYc2bC2toa7uzv69u2L1NRU/PHHH8IwtURERERElDdMOHJQoUIF7Nu3D0uWLIGamhpcXV3x5MkTZYdFRERERFRsMOHIg5kzZ+LEiROoXLmyskMhIiIiIipWSuWwuAsWLICpqWm+1unQoQM8PDywYMECxMTEKCgyIiIiIqKSpVQmHL/88kuB1jM1NcXBgwflHA0RERERUcnFJlVERERERKQwTDiIiIiIiEhhmHAQEREREZHCMOEgIiIiIiKFYcJBREREREQKw4SDiIiIiIgUptQlHDdv3sTjx4+VHQYRERERUalQ6hKO3r17Y8GCBZmm9enTp8Dv5iAiIiIiouyVyhf/SSSSTH97e3sjJSVFSdEQEREREZVcpa6Go2LFiggNDVV2GEREREREpUKpq+GoX78+fH19MX/+fHTv3h3lypUDAMTGxuLmzZt53k7btm0VFSIRERERUYlR6hKOmTNnwtfXFzt37sTOnTuF6f/++y/69OmTp22IRCJERUUpKkQiIiIiohKj1CUcPXr0wKlTp7B79248f/4c3759w9u3b6GpqQlDQ0Nlh0dEREREVKKUuoQDADp06IAOHToIf1eqVAmNGzfGxYsXlRgVEREREVHJU+o6jctiamoKY2NjZYdBRERERFTilMoaju/xRYBERERERIrBhEOG9+/f4+XLl/jy5QsqVqyImjVrwsTERNlhEREREREVO0w4Mjh79ixWrlyJf//9N8u8evXqYf78+XkeyYqIiIiIiNiHQ7Bs2TKMGTMGAQEBkEgkUFNTg4GBAdTU1CCRSPDkyROMHj0ay5YtU3aoRERERETFBhMOAF5eXli1ahUAYMiQIfD29kZ4eDieP3+O8PBweHt7Y+jQoQCA1atX48aNG8oMl4iIiIio2GDCAWDbtm0QiURYunQptm3bhnr16kFdXR0AoK6ujnr16mHr1q3466+/IJFIsH379iKNTyKR4OzZs+jduzdq1aqFKlWqoFmzZpg1axaCg4OLNBYiIiIiovxgwgHg7t270NPTw9SpU3NcbsqUKdDX14efn18RRZZu8eLFcHR0xKtXr2BnZ4dJkyahWrVq2LdvH9q3b4+AgIAijYeIiIiIKK/YaRzA58+f0aBBA4hEohyXE4lEMDc3L9JhdMPDw+Hs7AwzMzN4e3tDV1dXmOfk5IRFixbByckJTk5ORRYTEREREVFesYYDgFgsRkhISJ6WfffuHcRisWIDyuDt27dIS0tDq1atMiUbAGBrawsAiIyMLLJ4iIiIiIjygwkHgCZNmiAiIgL79u3Lcbm9e/fi48ePaNq0aRFFBlSvXh2amprw9fVFbGxspnmXLl0CAHTo0KHI4iEiIiIiyg82qQIwYcIEXL58GT///DOePn2KadOmwcLCQpgfHBwMJycn7N27FyKRCBMmTCiy2CpXrozffvsNixcvRosWLdCrVy9UrFgRT548gZeXFyZMmIBJkyblup2EhIQiiJZUBctbtqSkpEz/J+VhWagGloPqKK1loaWlpewQqAiIoqOjJcoOQhX88ssvwmhVAFCuXDkYGBggIiIC3759A5A+WtTUqVOV8i6OU6dOYcaMGfjy5YswrXXr1vjtt9/QqlWrXNcPCgpCamqqQmJr7l1eIdulgrvT7quyQyAiIsqRuro6rKyslB0GFQEmHBn8888/WLVqlcyhZq2srPDzzz9j+PDhRR7XypUrsXr1aixcuBBDhgyBrq4uHj9+jIULF+Lx48dwcXFBr169ctyGIp94Gx+KUti2qWDChuspOwSVlJSUhPDwcBgZGUFTU1PZ4ZRqLAvVwHJQHaW1LFjDUTow4ZDh5cuXePnyJeLi4qCtrY2aNWuiRo0aSonFw8MD9vb2mDZtWpaalfDwcDRq1AhVqlTB/fv3lRIfAIj3vFfavkm26LFVlR2CSkpISEBISAjMzMx4kVMyloVqYDmoDpYFlWTswyGDtbU1rK2tlR0GAMDNzQ0A0L59+yzzjIyMYG1tjUePHgnJERERERGRKuEoVSpO2nksu6Fvo6KioKamhjJlyhRlWEREREREecKEQ8VJO4Rv2bIFMTExmebt3r0b79+/R4sWLVC2bFllhEdERERElCM2qVJx9vb22LVrF27duoVmzZqhZ8+e0NXVxcOHD+Hl5YVy5crhr7/+UnaYREREREQyMeFQcerq6jh16hS2bNmCU6dO4fjx40hKSoKhoSGGDBmCuXPnolatWsoOk4iIiIhIJiYcxUDZsmUxe/ZszJ49W9mhEBERERHlC/twEBERERGRwjDhICIiIiIihWHCAaBBgwZo06YNEhMTlR0KEREREVGJwoQDQEREBMqWLcuhZYmIiIiI5IwJBwBTU1MkJCQoOwwiIiIiohKHCQeAXr164cWLFwgODlZ2KEREREREJQoTDgBz586FhYUFRo8ejXfv3ik7HCIiIiKiEoPv4QDg7OyMLl26YPfu3WjWrBk6dOiA2rVro3z58tmus2DBgiKMkIiIiIioeGLCAWDFihUQiUSQSCRITU3FlStX4ObmJnNZiUQCkUjEhIOIiIiIKA+YcAAYNmwYRCKRssMgIiIiIipxmHAgvUkVERERERHJHzuNExERERGRwjDhICIiIiIihWHCkUFQUBDmzZuHFi1aoGrVqtDT08s038XFBStXrkRcXJySIiQiIiIiKl7Yh+N/Tp06henTpyMhIQESiQQAsnQkj46OxsqVK1GrVi3Y29srIUoiIiIiouKFNRwAnjx5gsmTJyMxMRETJ07E+fPn0ahRoyzL9e3bFxKJBBcuXCj6IImIiIiIiiHWcADYuHEjUlJSsGzZMkyZMgUAoKWllWU5CwsL6Ovr4969e0UdIhERERFRscQaDgDe3t7Q1tYWko2cVK1aFWFhYUUQFRERERFR8ceEA0BkZCSsrKzytKy6ujpSUlIUHBERERERUcnAhANAxYoVERERkadlQ0JCsoxeRUREREREsjHhAFCvXj18+PABz58/z3E5X19fREREoEmTJkUUGRERERFR8caEA8CQIUMgkUgwZ84cfPnyReYykZGRmDVrFkQiEYYMGVLEERIRERERFU8cpQrAiBEjcPDgQdy6dQvt2rXDwIEDhSZW//zzD54+fYrDhw/j06dP6NSpE/r27avkiImIiIiIigcmHADU1NRw6NAhTJw4EVevXsX69euFeT/++CMAQCKRoHPnzti9e7eSoiQiIiIiKn6YcPyPWCzGsWPH4OnpiZMnT+LJkyeIjo5GhQoVULduXfTv3x89evRQdphERERERMUKE47vdOjQAR06dFB2GEREREREJQI7jRMRERERkcKwhuM7kZGRcHd3x4sXL/DlyxdUrFgRNWvWRKdOnWBgYKDs8IiIiIiIihUmHP/z7ds3/Pe//4WLiwuSk5OzzC9TpgwcHR2xZMkSVKhQQQkREhEREREVP0w4ACQmJqJ///7w8/ODRCKBkZERrK2tYWhoiI8fP+LVq1cICwvDrl278OjRI5w9exZly5Yt8jjPnTuHXbt24eHDh/j69SuMjIzQvHlz/P777zA1NS3yeIiIiIiIcsOEA8DGjRtx+/Zt6OnpYcWKFRgwYADU1P6/e0taWhpOnjyJhQsX4s6dO9i4cSPmzZtXZPFJJBLMnj0be/fuhaWlJQYOHAhtbW18+PABN2/eREhICBMOIiIiIlJJTDgAHDt2DCKRCAcPHkTLli2zzFdTU8OgQYNgZmYGW1tbHDt2rEgTjq1bt2Lv3r2YMGECVq5cCXV19UzzU1JSiiwWIiIiIqL84ChVAN6+fQsrKyuZyUZGLVu2RPXq1fH27dsiiiy9b8nKlSthYWGBFStWZEk2AEBDg3kjEREREakm3qkC0NXVRcWKFfO0bMWKFaGrq6vgiP6fu7s7oqOjMXLkSKSmpuLChQsIDAyErq4uOnbsCCsrqyKLhYiIiIgov5hwAGjdujUuX76MmJiYHJOJ6OhoPHv2DLa2tkUWm7+/PwBAXV0dbdu2xatXr4R5ampqmDZtGpYuXZrrdhISEhQVIqkglrdsSUlJmf5PysOyUA0sB9VRWstCS0tL2SFQEWDCAWDBggVwc3PDlClTsGvXLpQvXz7LMt++fcO0adOgpqaGBQsWFFlskZGRAAAnJyc0bNgQ7u7uqFmzJh49eoRZs2Zh8+bNsLS0xPjx43PcTmhoKFJTUxUUZdbjRcoVEhKi7BDkprm3vL9f5QF8kfM2c3en3dci32dxEB4eruwQCCwHVVKaykJdXZ0tNUqJUpdw3Lx5U+b0+fPn46+//oKNjQ0cHBxQp04dYVjcZ8+ewcXFBXFxcVi0aBGioqKKLN60tDQAgKamJg4ePIgqVaoAANq0aYO9e/eiXbt22Lx5c64Jh4mJiQKjLLrjQXljZmam7BDkqGR8v0pWmRReUlISwsPDYWRkBE1NTWWHU2qxHFQHy4JKslKXcPTu3RsikSjb+Z8+fcLGjRuzTJdIJBCJRFiyZAlEIlGRJR06OjoAgEaNGgnJhlTdunVhYWGBoKAgREdHQywWZ7sdVlmWLixv1cMykU1TU5PHRgWwHFQHy4JKolKXcJiamuaYcKgaa2trAMi2b4l0OtvsExEREZEqKnUJx+PHj5UdQr60b98eAPDixYss85KTkxEUFIQKFSpAX1+/qEMjIiIiIsoV38Oh4iwtLdG5c2cEBQXBxcUl07x169YhJiYGdnZ2fBcHEREREakk3qUWA2vWrEH37t0xY8YMuLq6wtraGo8ePYKXlxfMzMzw559/KjtEIiIiIiKZWMNRDFhaWuL69esYMWIE/P39sW3bNgQFBWHixIlwd3eHkZGRskMkIiIiIpKJNRz/Ex0dDScnJ1y5cgWvX79GXFxctssW5ShVUqamptiyZUuR7pOIiIiIqLCYcCD9JWk9e/ZEaGgoJBJJrsvnZRkiIiIiImLCAQD47bff8P79e5iammLmzJlo3Lgx9PX1i9XwuUREREREqogJB4Dr169DU1MT586dg4WFhbLDISIiIiIqMdhpHOnvs7C2tmayQUREREQkZ0w4ANSoUYNv6iYiIiIiUgAmHABGjx6NoKAg3L17V9mhEBERERGVKEw4AIwdOxb9+/eHg4MDzp49q+xwiIiIiIhKDHYa/59du3Zh9OjRGDNmDMRiMSwtLVG+fHmZy4pEIiYmRERERER5wIQDQFJSEsaMGYNLly5BIpHg8+fP+Pz5c7bLc7hcIiIiIqK8YcIB4O+//8bFixehoaGB3r17o1GjRnwPBxERERGRHDDhAHDs2DGoqanh6NGj6NSpk7LDISIiIiIqMdhpHMDHjx9RrVo1JhtERERERHLGhAOAkZERtLW1lR0GEREREVGJwyZVAHr37o1t27YhLCwMxsbGyg6HqNDEe94rOwQqweT3/SoPIEpO2yqY6LFVlbp/IqLSgDUcABYsWIDq1atj7Nix+PDhg7LDISIiIiIqMVjDAWDLli3o3Lkzdu7ciaZNm6JLly6wsrLK9j0cQHqSQkREREREOWPCAWDFihUQiUSQSCRITk7G+fPnsx0SVyKRQCQSMeEgIiIiIsoDJhwAhg0bxnduEBEREREpABMOAM7OzsoOgYiIiIioRGKncSIiIiIiUhgmHEREREREpDBsUgUgJCQk3+uYmZkpIBIiIiIiopKFCQeAhg0b5mt5kUiEqCjlvqyKiIiIiKg4YMKB9KFuFbk8EREREVFpxT4cAD5//pztf+/fv4enpyccHBygpaWFLVu24PPnz8oOmYiIiIioWGANRy7Kly+PBg0aYOPGjahXrx5++uknWFhYoHXr1soOjYiIiIhI5bGGIx8mTpwIHR0drFu3TtmhEBEREREVC0w48kFNTQ0WFha4c+eOskMhIiIiIioWmHDkU0hICBISEpQdBhERERFRscCEIx82bdqEyMhI1KhRQ6lxrF+/HmKxGGKxmLUtRERERKTS2GkcwMqVK7OdJ5FIEBERgTt37uDJkycQiUQYM2ZM0QX3nYCAACxfvhwVKlRAfHy80uIgIiIiIsoLJhwAVqxYAZFIlO186Xs3RCIRpk2bhvHjxxdVaJkkJydj6tSpsLGxgZWVFY4ePaqUOIiIiIiI8ooJB4Bhw4Zlm3CIRCKUL18e1atXh62tLSwsLIo2uAxWr16NZ8+ewdPTExs2bFBaHEREREREecWEA4Czs7OyQ8iVv78/1qxZg4ULF6J27dr5Xp8d3YmUi79B1VTayyUpKSnT/0l5SmtZaGlpKTsEKgJMOIqBxMREoSnVzJkzC7SN0NBQpKamyjkyqfIK2i5RyRESEqLsEOSo5PzmS1a5FFx4eLiyQ6D/KU1loa6uDisrK2WHQUWACUcxsGzZMgQGBsLDwwPq6uoF2oaJiYmco8ooSoHbJioZzMzMlB2CHJWc33zJKpf8S0pKQnh4OIyMjKCpqanscEo1lgWVZKUy4ZDHE62iukj5+flh06ZN+OWXX1C3bt0Cb4dVlkTKxd+gamK5pNPU1OSxUBEsCyqJSmXC0bBhw0KtLxKJEBWl+Cd8KSkpmDp1KurVq4fZs2crfH9ERERERPJWKhMO6TC3qi4uLg6BgYEAAAMDA5nLdOvWDQBw4MAB9O7du8hiIyIiIiLKi1KZcDx//jxfy8fGxmLDhg04dOiQAjteZ1W2bFk4ODjInHfr1i0EBgaiZ8+e0NfXh7m5eZHFRURERESUV6Uy4TA0NMzTcklJSdi+fTvWrVuHz58/QyKRoE2bNliyZIliA/yfcuXKYdOmTTLnTZ06FYGBgZgzZw6aN29eJPEQEREREeVXqUw4ciORSHDw4EGsWLECoaGhkEgkqF+/Pn777Td07dpV2eERERERERUbTDi+c+7cOfz111948eIFJBIJLCwssGjRIgwaNEjZoRERERERFTtMOP7H29sbv//+O+7duweJRAJDQ0PMmzcPY8aMgYaG6h0mZ2fnYvGGdCIiIiIq3VTvTrqIPXr0CH/88Qfc3d0hkUhQsWJFzJgxA9OmTUP58iXnbbpERERERMpQahOO4OBgLF26FKdOnUJaWhrKli2LCRMmYO7cuahUqZKywyMiIiIiKhFKZcIxd+5c7N+/HykpKVBTU8OoUaPwyy+/oGrVqsoOjYiIiIioRCmVCcfu3bsBABoaGhg8eDBq1KiB48eP52sbM2fOVERoREREREQlSqlMOABAJBIhJSUFhw8fLtD6TDiIiIiIiHJXKhOONm3aQCQSKTsMIiIiIqISr1QmHK6ursoOgYiIiIioVFBTdgBERERERFRyMeEgIiIiIiKFYcJBREREREQKw4SDiIiIiIgUhgkHEREREREpTKkcpYqIiIhI0cR73udzjfIAohQRSqFEj62q7BComGMNBxERERERKQwTDiIiIiIiUhgmHEREREREpDBMOIiIiIiISGGYcBARERERkcIw4SAiIiIiIoVhwkFERERERArDhIOIiIiIiBSGCQcRERERESkMEw4iIiIiIlIYJhxERERERKQwTDiIiIiIiEhhmHAQEREREZHCMOEgIiIiIiKFYcJBREREREQKw4RDxYWGhmLLli3o378/6tevDwMDA9SsWRMODg64e/eussMjIiIiIsqRhrIDoJxt374d69evh6WlJTp16gR9fX0EBgbC1dUVrq6u2LlzJwYMGKDsMImIiIiIZGLCoeKaNGmC8+fPo127dpmm37p1C/369cOcOXNgZ2eHsmXLKilCIiIiIqLssUmViuvbt2+WZAMA2rRpg/bt2yM6OhoBAQFKiIyIiIiIKHdMOIqxMmXKAADU1dWVHAkRERERkWxsUlVMhYSEwMPDA8bGxqhXr16uyyckJBRBVESUHf4GVVNpL5ekpKRM/yeSRZG/Ey0tLYVtm1QHE45iKDk5GZMnT0ZiYiKWLFmSpxqO0NBQpKamKiii8graLlHJERISouwQ5Kjk/OZLVrkUXHh4uLJDKKFKxm9FUb8TdXV1WFlZKWTbpFqYcBQzaWlpmDZtGm7duoXRo0dj2LBheVrPxMREgVFFKXDbRCWDmZmZskOQo5Lzmy9Z5ZJ/SUlJCA8Ph5GRETQ1NZUdTglUMn4rpf13QoXHhKMYSUtLw/Tp03Hs2DEMGTIE69aty/O6rLIkUi7+BlUTyyWdpqYmjwVli98NKiwmHMWEtGbj8OHDGDRoEJydnaGmxj7/RERERKTaeMdaDGRMNgYMGIBt27ZxZCoiIiIiKhaYcKg4aTOqw4cPw97eHtu3b2eyQURERETFBptUqbiVK1fi0KFD0NbWRo0aNbBq1aosy9jZ2aFBgwZKiI6IiIiIKGdMOFTc27dvAQBxcXFYvXq1zGXMzc2ZcBARERGRSmLCoeKcnZ3h7Oys7DCIiIiIiAqEfTiIiIiIiEhhmHAQEREREZHCMOEgIiIiIiKFYcJBREREREQKw4SDiIiIiIgUhgkHEREREREpDBMOIiIiIiJSGCYcRERERESkMEw4iIiIiIhIYZhwEBERERGRwjDhICIiIiIihWHCQURERERECsOEg4iIiIiIFEZD2QEQEZUG4j3vlR0ClWCF+36VBxAlr1AKLXpsVWWHQERyxhoOIiIiIiJSGCYcRERERESkMEw4iIiIiIhIYZhwEBERERGRwjDhICIiIiIihWHCQURERERECsOEg4iIiIiIFIYJBxERERERKQwTDiIiIiIiUhgmHEREREREpDBMOIiIiIiISGGYcBARERERkcIw4SAiIiIiIoVhwkFERERERArDhIOIiIiIiBSGCUcxcf/+fQwePBjm5uYwMTFB165dcerUKWWHRURERESUIw1lB0C58/LywsCBA6GlpYUBAwZAW1sbZ8+exdixY/Hu3Tv89NNPyg6RiIiIiEgmJhwqLiUlBTNnzoSamhpcXV3RoEEDAMD8+fPRpUsX/Pnnn+jXrx/Mzc2VHCkRERERUVZMOFScl5cXXr9+jZEjRwrJBgDo6upizpw5mDZtGg4dOoQFCxYoLUa9smyZR0SkTDwPqyaWC1E6JhwqztvbGwDQuXPnLPO6dOkCALh582aRxvS9wBFVlLp/IqLSjudh1cRyIUrH1FvFBQYGAgCqV6+eZZ6RkRG0tbURFBRU1GEREREREeUJEw4VFxsbCwDQ0dGROb9ixYrCMkREREREqoYJBxERERERKQwTDhUnrdnIrhbjy5cv2dZ+EBEREREpGxMOFSftuyHty5FReHg44uLiYGVlVdRhERERERHlCRMOFde2bVsAgLu7e5Z5165dy7QMEREREZGqEUVHR0uUHQRlLyUlBc2aNcOHDx/g5uYmvIsjJiYGXbp0wdu3b3Hnzh1Uq1ZNyZESEREREWXFGg4Vp6GhgY0bNyItLQ12dnaYOXMmFi1ahHbt2uHVq1f49ddfZSYb9+/fx+DBg2Fubg4TExN07doVp06dUsInKNlCQ0OxZcsW9O/fH/Xr14eBgQFq1qwJBwcH3L17V+Y6sbGxWLhwIerXrw9DQ0PY2Njg119/RVxcXBFHX/KtX78eYrEYYrEYd+7cyTKfZaFY586dg729PSwtLWFkZIQGDRpg/PjxePfuXablWA6KI5FIcPbsWfTu3Ru1atVClSpV0KxZM8yaNQvBwcFZlmdZFM6RI0cwa9YsdOzYEYaGhhCLxTh48GC2y+f3eKelpWHbtm1o06YNjI2NUb16dYwfP15mWRKpEtZwFBP37t3D8uXL4efnh+TkZNStWxfTp0/HgAEDsizr5eWFgQMHQktLCwMGDIC2tjbOnj2LkJAQ/Pnnn/jpp5+U8AlKpiVLlmD9+vWwtLREu3btoK+vj8DAQLi6ukIikWDnzp2Zyig+Ph62trZ4/PgxOnfujAYNGuDRo0dwd3dHkyZNcOHCBWhpaSnxE5UcAQEB6NSpEzQ0NBAfHw83Nzc0b95cmM+yUByJRILZs2dj7969sLS0RJcuXaCtrY0PHz7g5s2b2LFjB1q3bg2A5aBoixYtgpOTE4yNjdGrVy9UrFgRT548gbu7O7S1tXH58mXUrVsXAMtCHmxsbBASEgI9PT2UL18eISEhcHJywsiRI7MsW5DjPWPGDLi4uKBOnTro3r07Pnz4gNOnT6NChQq4evWqzHd2EakCvmm8mGjatCmOHz+e63IpKSmYOXMm1NTU4OrqKjTBmj9/Prp06YI///wT/fr1g7m5uaJDLhWaNGmC8+fPo127dpmm37p1C/369cOcOXNgZ2eHsmXLAgA2bNiAx48fY9asWViyZImwvDRx2bJlC+bMmVOUH6FESk5OxtSpU2FjYwMrKyscPXo0yzIsC8XZunUr9u7diwkTJmDlypVQV1fPND8lJUX4N8tBccLDw+Hs7AwzMzN4e3tDV1dXmOfk5CQkI05OTgBYFvKwadMmWFlZwdzcHOvWrcPvv/+e7bL5Pd5eXl5wcXFBmzZtcPr0aWhqagIABg8ejMGDB2PevHk4efKkwj4bUWGwSVUJ4+XlhdevX2PQoEFCsgEAurq6mDNnDpKSknDo0CElRliy9O3bN0uyAQBt2rRB+/btER0djYCAAADpT333798PbW1tzJs3L9Py8+bNg7a2NlxcXIok7pJu9erVePbsGTZv3pzlZhdgWSjSt2/fsHLlSlhYWGDFihUyj7+GRvqzLpaDYr19+xZpaWlo1apVpmQDAGxtbQEAkZGRAFgW8tKxY8c8PdAryPGW/r1o0SIh2QCAbt26oV27dnB3d0dISIgcPgWR/DHhKGG8vb0BAJ07d84yr0uXLgCAmzdvFmlMpVWZMmUAQLjhCgwMxIcPH9CyZUtUqFAh07IVKlRAy5YtERwcnKV9O+WPv78/1qxZgwULFqB27doyl2FZKI67uzuio6NhZ2eH1NRUnD17FuvWrcPu3bsRFBSUaVmWg2JVr14dmpqa8PX1zfIup0uXLgEAOnToAIBlUdQKcry9vb1RoUIFtGrVKsv2eH0nVceEo4SRvq9DVjtOIyMjaGtrZ7nok/yFhITAw8MDxsbGqFevHoD/L5vs3psinS7rnSuUN4mJiUJTqpkzZ2a7HMtCcfz9/QGkJ9pt27aFo6Mjfv/9d8yZMwfNmjXD4sWLhWVZDopVuXJl/Pbbb3j37h1atGiBOXPm4LfffsPAgQOxZMkSTJgwAZMmTQLAsihq+T3e8fHxCAsLQ7Vq1WTWGrJ8SNWxD0cJI32Kld3bxytWrJjtW8tJPpKTkzF58mQkJiZiyZIlwsVBety/b9ogldtb5Sl3y5YtQ2BgIDw8PGRelKVYFoojbaLj5OSEhg0bwt3dHTVr1sSjR48wa9YsbN68GZaWlhg/fjzLoQhMnz4dJiYmmDFjBnbv3i1Mb926NQYNGiQ0b2NZFK38Hu/cru0sH1J1rOEgkqO0tDRMmzYNt27dwujRozFs2DBlh1Rq+Pn5YdOmTfj555+FUXeo6KWlpQEANDU1cfDgQTRp0gTa2tpo06YN9u7dCzU1NWzevFnJUZYeK1euxKRJkzBnzhw8ffoU7969w8WLF5GQkIDevXvjwoULyg6RiEoBJhwlTG5POb58+ZLtExIqnLS0NEyfPh3Hjh3DkCFDsG7dukzzpcc9JiZG5vq5PcGi7KWkpGDq1KmoV68eZs+enevyLAvFkR6zRo0aoUqVKpnm1a1bFxYWFnj9+jWio6NZDgrm4eGB5cuXY+LEiZg9ezaqVq0KbW1ttG7dGocPH0aZMmWEJm4si6KV3+Od27Wd5UOqjk2qShhp343AwEA0atQo07zw8HDExcWhSZMmSoisZJPWbBw+fBiDBg2Cs7Mz1NQy5/PSssmuD410OsdRz7+4uDih7bKBgYHMZbp16wYAOHDggNCZnGUhf9bW1gCybyoinZ6QkMDfhIK5ubkBANq3b59lnpGREaytrfHo0SPExcWxLIpYfo93hQoVYGxsjDdv3iA1NTVLk1GWD6k6JhwlTNu2bbF27Vq4u7tj4MCBmeZdu3ZNWIbkJ2OyMWDAAGzbtk1m/4Hq1aujSpUquH37NuLj4zONTBIfH4/bt2+jWrVqMDU1LcrwS4SyZcvCwcFB5rxbt24hMDAQPXv2hL6+PszNzVkWCiS9uX3x4kWWecnJyQgKCkKFChWgr68PIyMjloMCJSUlAfj/fjXfi4qKgpqaGsqUKcPfRBEryPFu27YtTpw4AV9f3yzXcen1vU2bNkXzAYjyiU2qSpgOHTrAwsICx48fx6NHj4TpMTExWLt2LTQ1NdmvQI6kzagOHz4Me3t7bN++PdvOyiKRCA4ODoiLi8OqVasyzVu1ahXi4uIwevToogi7xClXrhw2bdok878WLVoAAObMmYNNmzahQYMGLAsFsrS0ROfOnREUFJTlPQLr1q1DTEwM7OzsoKGhwXJQMOnwqVu2bMnSdGf37t14//49WrRogbJly7IsilhBjrf077/++ktIJoH0mixvb2907tyZL/UllSWKjo6WKDsIki8vLy8MHDgQWlpaGDBgALS1tXH27FmEhITgzz//xE8//aTsEEuM5cuXY+XKldDW1saUKVNkJht2dnbCSxjj4+PRo0cPPHnyBJ07d0bDhg3x8OFDuLu7o0mTJnB1dUW5cuWK+mOUaFOnTsWhQ4fg5uaG5s2bC9NZForz+vVrdO/eHREREejRo4fQdMfLywtmZma4evUqjIyMALAcFCk1NRV9+vTBrVu3YGBggJ49e0JXVxcPHz6El5cXypUrh/Pnz6Np06YAWBby4OLiAh8fHwBAQEAAHj58iFatWsHS0hJA+uhgjo6OAAp2vGfMmAEXFxfUqVMH3bt3R1hYGE6dOoUKFSrAzc0NNWrUKNoPTJRHTDhKqHv37mH58uXw8/NDcnIy6tati+nTp2PAgAHKDq1Ekd7M5sTJyQkjR44U/o6JicGKFStw7tw5hIeHw8jICPb29liwYAEqVqyo6JBLnewSDoBloUjv3r3DsmXLcO3aNXz69AlGRkbo2bMn5s+fn6WfDctBcRITE7FlyxacOnUKr169QlJSEgwNDdGuXTvMnTsXtWrVyrQ8y6JwcrsmDB8+HM7OzsLf+T3eaWlp2L59O/bt2yc0T+zYsSN+/fVXIakhUkVMOIiIiIiISGHYh4OIiIiIiBSGCQcRERERESkMEw4iIiIiIlIYJhxERERERKQwTDiIiIiIiEhhmHAQEREREZHCMOEgIiIiIiKFYcJBREREREQKw4SDiIiIiIgUhgkHlXg3btyAWCyGjY2N3LZ58OBBiMVi2NnZyW2bpYVYLIZYLMabN2+UHQoVAZZ30VPEOU+VLF++HGKxGFOnTs33ulOnToVYLMby5csVEBkRZYcJB6m0adOmQSwWo2vXrnlep2vXrhCLxZgxY4YCI1Mt58+fx/Lly3Hjxg25bO/mzZuYPXs2WrVqhWrVqkFfXx9WVlawtbXF0qVLERgYKJf9kGqT3tjl97+SeqNb0kkfpHz/n4mJCZo0aYIpU6bg3r17yg6zRFm+fDmWL1+O6OhoZYdCpFAayg6AKCcjR47EP//8g7t37+LFixeoWbNmjss/f/4cd+/eBQCMGjUKAFC+fHlYW1ujSpUqCo9XWVxdXXHo0CEAQPv27Qu8nU+fPmHSpEm4evUqAKBMmTKwtLRExYoVERUVhdu3b8PX1xdr167FnDlzsHjx4nzvw9raWtg2qTZTU1O0atUqy/R3797h3bt3KFu2LBo3bpxlvpGRUVGERwryfbl+/PgRb9++RVBQEI4ePYqVK1di4sSJSotPT08P1tbWMDY2VloM8rJy5UoAwIgRIyAWi5UbDJECMeEglda2bVtYWVkhKCgI//zzD5YsWZLj8gcPHgQA1KpVCy1atAAANG3aFHfu3FF0qMXep0+f0KVLF7x+/RrGxsZYvHgx7O3toa2tLSwTERGBEydOYMOGDfDx8SnQflgWxYeDgwMcHByyTF++fDlWrlwJQ0NDXLp0SQmRkSLJKtfQ0FD8+OOPcHd3x3/+8x9069YNFhYWSolv0qRJmDRpklL2TUQFwyZVpPJGjhwJADhy5AhSU1OzXS41NRVHjhzJtA7l3dSpU/H69WuYmZnh2rVrGDVqVKZkAwAMDAwwZcoU3L59G71791ZSpERU1ExMTLBz505oaWkhJSUFZ8+eVXZIRFSMMOEglTd8+HCoq6vjw4cPcHd3z3Y5Nzc3hIeHQ0NDA8OGDROm59aBMjk5Gbt27YKtrS2qVasGIyMjNGzYEDNnzkRQUFCB4z579iyGDh0Ka2trGBgYwNraGiNGjMDNmzdlLp+xI2RqaiqcnJzQpk0bVKlSBdWqVcPQoUPh7++faZ03b95ALBYLzalWrlxZoLb0d+7cweXLlwEAmzZtQtWqVXNcXkdHJ0uHTRsbG4jFYty4cQMvX77ElClTULduXejr62daNrtOxBk/f1JSEv7++280b94cxsbGqFu3LubNm5epnfPp06dha2sLc3NzmJmZYfDgwXjy5EmOcXt5eWH06NGoU6cODAwMYGlpiQEDBsDV1TXbdTw9PTFy5EjUrl0b+vr6MDc3R6NGjTBy5Ejs378/x/19z87ODmKxGAcPHsS7d+8wffp01K1bF4aGhmjQoAEWL16ca1vuwnyvEhMTsWbNGrRp0wZVq1Yt8iYcT58+xdixY2FtbQ1DQ0M0a9YMK1euRFJSUrbrvHv3DvPmzUPTpk1hbGwMc3NzdO7cGZs2bUJCQoLMdXLrqJ7ToA/h4eFYuHAhWrZsiSpVqsDIyAh16tRB9+7dsXTpUnz8+DHT8u/fv4ezszMGDhyIRo0awdjYGGZmZujQoQNWrVqFL1++yIyhIL/3jJKTk7Fhwwa0atUKRkZGsLa2hqOjI54+fZrtOoVVuXJl1KhRAwAQHBwsc5no6GisXLkSHTp0gLm5OYyMjNCsWTMsXrwYERERMteJjY3FsmXL0K5dO1StWhUGBgaoVasWOnbsiEWLFmU5D+fWaTw4OBiTJ09GzZo1YWRkhKZNm2Lp0qX49u1brp+xIPFnPPeFhITgxx9/RJ06dWBoaAgbGxssWrQIsbGxMj+DVMOGDTOduzN2as/v8SFSRWxSRSrPxMQEnTt3hpubGw4ePIhu3brJXE7anKpbt24wNDTM07a/fPmCIUOGCM2DLCwsIBaL8eLFC+zbtw9Hjx7F7t270bNnzzzHm5iYiIkTJwpPAPX19VGnTh2EhITgwoULuHjxIv744w/89NNPMtdPTU3F4MGD4e7uDisrK1SvXh0vX77E5cuX4eXlBVdXVzRp0gQAoKWlhVatWiEwMBAREREwNTWFqampsK28tqWX1gzVqVMHHTt2zPNnleXOnTtYvXo1UlNTUatWLYjFYqip5f3ZRkpKCvr3749bt26hVq1aMDc3x6tXr7Bjxw7cuXMHV65cwbJly7B+/XqYmpqiWrVqePnyJdzc3HD79m14eHjAysoq0zYlEgkWLFiA7du3A0i/Ia1Tpw7CwsLg7u4Od3d3TJw4EatWrcq0nouLizD4gK6uLmrXrg2JRIL379/D1dUVDx48kNnkKDdv3rxBhw4dEB0djTp16kBHRwfPnz/H5s2bcenSJbi6umYpu8J+rxITE9G7d2/cuXMHlpaWqFmzZpF2/r9+/Tp++eUXaGhooEaNGtDQ0MCrV6+wfPlyPH36FC4uLlnW8fb2xogRIxAbGwtNTU3Url0b3759w/3793H//n0cO3YMJ0+ehL6+vlxifP/+Pbp06YKwsDBoaGjAysoK2traCA8Px7179+Dn54d27dplOr84Oztj8+bNKFeuHAwNDVG3bl18+vQJT548wcOHD3HixAlcunQp2+QuP793qcTERAwdOhQeHh4AgGrVqqFSpUq4cuUK3NzcMH/+fLkcD1mkN+3ly5fPMu/x48cYOnQoQkNDoaGhATMzM5QrVw6vXr3C5s2bcfz4cZw8eRJ169YV1vny5Qu6deuG58+fQyQSwdLSEmKxGBEREXj69Cn8/f1Rq1atLL/p7Pj7+6Nv376IjY1FmTJlUKdOHXz9+hWrV6+Gh4dHjs3AChJ/Rk+fPsWoUaOQkJCA2rVro0yZMggJCYGTkxP8/Pxw8eJFaGik33ZJ+0f5+voCABo3boyyZcsK25Kex+V9fIiUhTUcVCxIO4BfvHhR5hPgqKgooc2xdNm8WLBgAXx8fKCvr4+LFy/C398fHh4eePbsGQYNGoRv375h4sSJ+RrSc+HChTh79izq1KmDS5cu4dWrV/Dy8sLr16+xfft2lCtXDv/973/h7e0tc/1Tp07h1atX8PDwwP379+Ht7Y2AgAC0bNkS3759y9RR28jICJcuXRJG8Ro5ciQuXbok/Ldv3748xSxNuArT4Vzqr7/+gp2dHZ4/fw4vLy/cunULq1evzvP6p0+fxsePH+Hr6wtfX1/4+fnB3d0durq68Pf3x4QJE7Bz504cOnQIT548wY0bN/DkyRM0aNAAsbGxWLFiRZZtbty4Edu3b0fVqlVx+PBhBAcHw8vLCy9evMCJEydgYGCAHTt24PDhw8I6qampQp+hlStXIjAwEN7e3rh58yaCg4Ph5+dX4JHQ1q1bBwsLCzx8+BDe3t7w9fXFrVu3YGlpiVevXslMGgr7vTpz5gw+fPiA69ev48GDB7h+/TqeP39eoPgLYt68eZg8ebLw3f7333+xY8cOiEQinD17Fl5eXpmWj4qKwpgxYxAbG4sePXrg2bNn8PLywp07d+Dh4QFTU1M8evQI06dPl1uMmzZtQlhYGDp06IBnz54J372nT5/i9evXcHJygomJSaZ1unXrhvPnz+Pdu3d4+PAh3N3d4e/vj4cPH6Jnz5549uwZfv/992z3mZ/fu9SqVavg4eGBihUr4uTJk3j48KFw3vrhhx+wbNkyuR2TjJ48eYLXr18DSH8in9Hnz58xbNgwhIaGYvTo0Xj27BkePHiAW7du4eXLlxg2bBjCwsIwevRopKSkCOvt378fz58/R926deHv74/79+/D3d0djx8/RkhICPbu3YvatWvnKb7ExESMGzcOsbGxaNu2LZ48eQIvLy/cvXsXV65cQXBwMM6cOSNz3YLGn9Gvv/4KW1tbvHjxAp6ennj06BFOnz6N8uXL486dO5nOLw4ODpn6yezduzfTuVv6IEOex4dImZhwULHQs2dP6OnpITExEcePH88y/+jRo0hOToahoSF69OiRp22+efNGuACsXr0arVu3Fubp6Ohg69atqFatGuLi4rB58+Y8bfPly5fYs2cPdHR0cOTIkSwj/AwZMgQLFy6ERCLBhg0bZG4jOTkZW7duRaNGjYRpenp6wmgmPj4+iImJyVM8eRUaGgoAcukEam1tDWdn50xPdMuVK5fn9VNSUrB161bUqlVLmNaoUSOMHj0aQHqTovnz52eqddLX18eiRYsAQGgaJhUdHY1Vq1ZBXV0dBw4cgK2tbab5Xbp0wZo1awCkJwJSkZGR+PTpE3R1dTF58mThyaRUzZo1MWXKlDx/rowkEgn27NmTqTaqTp06cHZ2BgBcuXIlU3MaeXyvUlNTsWvXrkyjD+WnXAqrTZs2+P3336GlpSVMGzx4sPB7/b6T8q5duxAZGQl9fX3s2bMHlStXFuY1atQITk5OANLLO6emR/nx8uVLAOmdkr+vNdHR0cHIkSOzjJTXoUMHtGvXDurq6pmmm5qaYteuXShTpgyOHTuWbf+z/P7e4+PjhZq6hQsXonPnzsI8sViMXbt2oUKFCvn85DmLiIjAmTNnMHLkSKSlpaFWrVqwt7fPtIyTkxPev3+PXr16YcOGDZmOn66uLpycnNCgQQO8fPkS586dE+ZJj7mDgwOqVauWaZtaWlqwt7cXBgDJzalTpxAUFAQtLS3s2bMnUy1hixYtsHz5ciQnJ8tct6DxZ2RpaYnNmzdDV1dXmNahQwfhIVhBBliQ5/EhUiYmHFQsaGpqYvDgwQD+v+lURtJpQ4cOzXJjmJ1r164hLS0Npqam6Nu3b5b5GhoaQhvhK1eu5GmbZ86cQVpaGrp27Qpzc3OZy0j35e3tLfMmpF69emjTpk2W6Q0bNkTZsmUhkUiEp4zyIm1n/n0n8YIYPnx4nstAlvr166Np06ZZpme8IZMmHxlJb6RjYmLw6dMnYfqVK1cQFxeHxo0byxzCFUhPaMuUKYPnz58jLCwMQHoH+XLlyiE2NjbP5Z9XvXv3lvn9aNWqldB8JuM+5fG9qlWrFlq2bCmP8AtkwoQJMqdLb5a+b4cu/fxjxoyR2XynQ4cOaNCgAYCsSWZBmZmZAUg/3jn1K/lebGws9u3bh2nTpmHAgAHo2bMnbG1tMWDAAKipqSEuLi7b5mv5/b37+voiNjYW5cr9X3t3G9PU2cYB/F8wiArqQlE0VYrKxssIagigM6kZ7g03ZSQiA0cVw8KUBUERR2YcQ0bQJUskCHFCMOkmYyBuMkURmLgCgQ0GTFa2qWBhDNbwNoQNgT4fyDme0hZ6aPv04cn1+8bpOYfT+9xtz/1yXfciREREaB1nZ2enczsfSqVSI57A1dUVUqkUSqUSu3fvxrVr17TSWl+5cgUAEBkZqfOc1tbWCAwMBDAVF8Vgyry0tBTDw8NGXXdZWRkAICgoSOe02uDgYL3TTOd6/VxSqVRnum99ddwQpiwfQiyJYjjIvBEeHo7s7Gw0Njbil19+gbu7OwCgqamJDRbmk52K6Tlyc3PTG2PAzNXt6OjA2NgYbGxsZjwncx11dXVaPekMtVoNYGoudF9fHxwdHTVeZ4IypxMIBHB0dERnZ6fJf3js7e3R399vkvMaO7yvby4y0+Po4OCg0YPI4Jbj8PAw2yPO3JOOjg699wSYKl9gah6/k5MTrKysEBMTg7NnzyIkJAQeHh6QSCTw9fXF1q1bjVprgqm7uri5uaGhoQG//voru80U9crS0y701WvmOqfXPebzqW++PPNac3Mzu6+xoqOjkZ+fj4KCAty+fRsvvvgifH194e/vDy8vL7aOcMnlcuzfv19vQDGD2wjm4vt5Z+rF2rVr9Y5kGHuvuetwPHnyBEqlEr29vbCxscHGjRu1HuYfP37MPkynpqbqnULJBNx3dXWx2/bt24fMzEzcuXMHbm5u2L59O/z8/NjG9/SRo5kwZaPv82VtbQ1XV1f09PSY7Pq5+NZxQ5iyfAixJGpwkHnDy8sL3t7eaGpqwueff47Tp08DeDq64ePjw+uHlvnynynAnLuwFPchVh8mvoRZGG02IyMjWtt09eYymAce5uHSVFavXo3+/n69mWf4mOn6jTmeee+zvQ5olg9zT/76669ZHwoBzXuSlJSENWvW4MKFC/j555/R2tqKrKwsCAQCSCQSpKSkzGlV7ZnqHPMaN7uRuevVf4O+/8809qfXaT6fT32ZoPhyc3NDWVkZ0tPTUV5ejsLCQnYK55o1axAfH48DBw6w+w8NDUEqlUKlUkEikSAuLg6enp5Yvnw529P9/PPPo7OzU+9UHr6fd6ZcpjcouQxNmjHT8dzpP2q1Gl9//TWio6ORnJyMJUuWaKyDwZ3y1djYOOv5ufVzxYoVKC8vR3p6Or799luUlJSgpKQEANgMd7GxsQaNms61bIy5fi6+ddwQpiwfQiyJaiiZV/bt24empiYUFBTgww8/xOTkJPtAwCdYHHg6fWh6mksuZnoNd/+ZMD2Ox48fR1JSEq/rsaQtW7bg3r17egOO5zPmnoSGhiI7O5vXsQKBABEREYiIiIBKpUJtbS3kcjmKi4vx3XffYdeuXZDL5VqBxLOZqc4xr9nb22u9h/lWr4xhZ2eHwcFBgz6f3LLi0veAp++BEZjq2JDJZBgbG0NjYyNqa2tx48YN1NbWIi4uDpOTkzh48CCAqSk8KpUKIpEI+fn5WjExarV61jTHfDHfQzM1nmcqs7kQCAQICgpCX18f4uPjcerUKQQGBrIxSNyRlp9++ol3LJhYLEZWVhYmJibQ0tKC2tpalJWVoaKiAikpKRgaGpox8J4x17Ix9vrNzVTlQ4glUQwHmVf27NkDW1tb9Pb2oqysDDdu3EBfXx8WL16M4OBgXudigj8VCgUmJyd17tPa2gpg6gt/tulUwNPpH+bMha+LrqkefISEhACYer9Mqs3/F6a6J0KhEK+//jrS0tJQX18PZ2dn9Pf3o6ioiPe5FArFrK9xg5MtVa8siXn/zGdQF+a16YHczAOkvgfP33//fdb/b2NjAz8/P8TGxqK0tJTNHJaTk8Puw2Sv27Rpk84A/NbWVpNPf2Te66NHj/Q2nGaqX8bYv38/PDw8MDo6itTUVHb7smXL2MaHMXXU2toaGzduRHR0NIqKinDmzBkAQG5urkGjA9zvdF0mJiZ03ntTXb+5GVs+hFgSNTjIvMJdrOuLL75gp1O98cYbWLp0Ka9zBQQEwMrKCp2dnTpXzWWyJQHAyy+/bNA5g4KCIBAIcOvWLbP96OvCDOUbsrCVLr6+vuz6Ju+9957eOcqMoaEh3qMFlvLqq69i0aJFaGlpQWVlpUnOaW9vD09PTwBAd3c37+NLSkqgVCq1ttfV1aGhoQGAZp2zVL2yJOb95+Xl6XywrqqqQnNzs8a+DCYOqK6uTuu4gYGBOTUSmYB7JqMb8DTL1/SYAMa5c+d4/5/Z+Pv7w97eHqOjozoXnhweHua9IKWhrKyskJiYCGAqMyA3EJ7JWpWZmak3IxdfTJn//fffBk2bY9KDFxcX62xsFhcXa4xac5nj+g1hzHc33/IhxJKowUHmHWbq1M2bN1FeXq6xjY+1a9eyK5InJCSwa1EAU1/ghw4dQnt7O+zs7AzO9e/p6YmIiAg8efIEwcHBKC0t1ep56u7uxsWLFzVSsBrLxcUFwFQKTT7ZdbiysrLg7OwMpVKJgIAAyGQyPH78WGOfvr4+XLx4Ef7+/npTQ/6vcXR0xLFjxwBMZZG5fPmyVh79/v5+XL58GSdPnmS3KRQKxMTEoKamRmsErLKykl03YvqibIY6ePCgRsOura2NzYq2Y8cOjaxclqpXlhQZGQmhUAiVSoXIyEiNoGvu+huvvPKKRlkBYFMmZ2RkoKWlhd3e09ODqKgovWmlY2NjkZ+frzUNqqenB+fPnwegeb+Z7FJ1dXXIy8tjt4+NjeH06dP46quvDBoZ5YMbP5GamqoxIjkwMIB33nnHrNmMdu3aBQ8PD0xMTLA97ABw5MgRrFq1CtXV1Xj77be14sHUajUaGhpw4sQJtlENAMnJycjJydGa6jQwMMDW5Q0bNhjUofTmm29CLBbjn3/+QWRkpEajo76+Hu+//77OLFLGXL+xmO9ufSPLpiwfQiyJYjjIvCORSCASidjgWRcXF2zbtm1O50pPT8fDhw9RU1OD1157DevWrcOyZcvQ1taGkZERLFq0CJ999plW/vOZnD17FqOjoygoKEBoaCiWL1/O/qj8+eefbI/4W2+9Nadr1mX37t1ITU1FfX09PDw8sH79eixYsAArV65Ebm6uQecQCoUoLy9HVFQUKisrERMTg/j4eLi4uMDOzg59fX3o6OjA5OQkrK2t59TIs5T4+HgMDg7i3LlzePfdd5GQkMCWUW9vLzo7O6FWq/HCCy+wx4yNjUEmk0Emk2Hx4sVwcXHBwoUL0d3dzd7DwMBA3lP5ACAuLg45OTnw9vaGu7s7xsfHoVAooFarsW7dOmRkZGgdY4l6ZUkODg7Iy8tDWFgYSktL4e7uzq40zmQj8vLyYtfj4Dp8+DAKCgrQ3t4OiUSC9evXY+HChVAoFHByckJiYiKbdILrxx9/xKVLlyAQCCAWi+Hg4IChoSE8ePAA4+PjcHR0RFpaGru/t7c39u7diy+//BJHjhxBeno6nJyccP/+fQwNDeGDDz7ApUuXdI5mGSMhIQF1dXW4e/cugoKCIBaL8cwzz7CjX0lJSWab0y8QCJCYmAipVIrCwkIkJCRgw4YNEAqFKCwsRFhYGK5fv47r169DLBZDKBRiZGQEHR0dbAcGM0oNTDW0P/30Uxw9ehQikQgrV67EyMgIHjx4gH///RdLlizRu7bMdLa2tsjNzUVQUBDu3r0LT09PdqXx3377DT4+PpBIJDrXcprr9RsrNDQUJ0+exIkTJ5CbmwuhUAiBQICwsDCEh4ebtHwIsSQa4SDzjpWVFcLCwti/w8LC5hzDYG9vj2+++QaffPIJ/Pz8oFKpcO/ePTg4OCAiIgLff/+9xgJzhrCxscGFCxdw9epVBAcHw87ODq2trWhtbcWCBQuwc+dOZGRk6HzgmSuRSIQrV67gpZdeglqtRn19PeRyOerr63mdRygUori4GNeuXYNUKoWLiwu6u7vR1NSEwcFB+Pr6IiEhAT/88MO8Cl4WCAT46KOPUFFRgfDwcDg6OqKtrQ3Nzc0YHx9HQEAAzpw5wy6oBkz1GmZkZGDPnj0QiUTo6upCc3MzxsbGsH37dmRnZ0Mmk+lNqTwTZ2dn3LlzB3v37oVKpcL9+/chEolw6NAhVFRUYNWqVVrHWKJeWdq2bdsgl8sRFRWF1atXQ6FQ4I8//sCmTZuQkpKCW7duaS3QB0zNyb958yakUilWrFiB9vZ2DAwM4MCBA6iqqtJZvgCQlpaGmJgYbN68GaOjo2hqakJXVxeee+45xMXFoaamRmNBSgA4f/48kpOT4erqCpVKhYcPH8Lb2xsymYwdWTM1W1tbFBUV4dSpU3j22WfR3d0NpVKJHTt24Pbt2/Dx8THL/2XoG+Xw9PREdXU1Pv74Y2zduhWDg4NobGyEUqmEWCxGVFQUrl69qrHI6vHjx3Hs2DFs2bIFarUaLS0taG9vh7OzM6KiolBdXa3RETCbzZs3o6qqCiEhIVi6dCkUCgUmJiZw9OhRneuHcM3l+o11+PBhpKSksNnMqqurIZfL8ejRIwCmLx9CLEUwMDBAkUaEEPJfsHPnTsjlcmRmZvJaM4YQQgiZz2iEgxBCCCGEEGI21OAghBBCCCGEmA01OAghhBBCCCFmQw0OQgghhBBCiNlQ0DghhBBCCCHEbGiEgxBCCCGEEGI21OAghBBCCCGEmA01OAghhBBCCCFmQw0OQgghhBBCiNlQg4MQQgghhBBiNtTgIIQQQgghhJgNNTgIIYQQQgghZkMNDkIIIYQQQojZ/AdwDTPPS51KEQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(zip_freqs[\"Violent Crimes per Thousand Residents\"], bins=10)\n",
    "plt.xlabel(\"Violent Crimes per Thousand Residents\")\n",
    "plt.ylabel(\"Number of ZIP Codes\")\n",
    "plt.title(\"Crime Rate Distribution in Chicago by ZIP Codes (2019)\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "id": "woCiUovleiSx"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "crime_heatmap = zipcodes.merge(crime_vs_income, left_on='ZIP', right_on='Zip Code')\n",
    "fig, ax = plt.subplots(1, 1, figsize=(5, 5)) \n",
    "crime_heatmap.plot(column='Number of Violent Crimes per Thousand Residents', ax=ax, legend=True,\n",
    "                   legend_kwds={'label': \"Violent Crimes per Thousand Residents\",\n",
    "                                'orientation': \"horizontal\"})\n",
    "ax.set_title('Chicago Crime Heatmap by ZIP Code (2019)')\n",
    "ax.set_axis_off()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "population_heatmap = zipcodes.merge(population, left_on='ZIP', right_on='ZIP')\n",
    "fig, ax = plt.subplots(1, 1, figsize=(5, 5)) \n",
    "population_heatmap.plot(column='Population', ax=ax, legend=True,\n",
    "                        legend_kwds={'label': \"Population\",\n",
    "                                     'orientation': \"horizontal\"})\n",
    "ax.set_title('Chicago Population Heatmap by ZIP Code (2019)')\n",
    "ax.set_axis_off()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "income_heatmap = zipcodes.merge(income, left_on='ZIP', right_on='ZIP')\n",
    "\n",
    "fig, ax = plt.subplots(1, 1, figsize=(5, 5)) \n",
    "income_heatmap.plot(column='Average Total Income (USD)', ax=ax, legend=True,\n",
    "                   legend_kwds={'label': \"Average Total Income (Thousands of USD)\",\n",
    "                                'orientation': \"horizontal\"})\n",
    "ax.set_title('Chicago Income Heatmap by ZIP Code (2019)')\n",
    "ax.set_axis_off()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "E2Y8GplveiSx"
   },
   "source": [
    "# Code for Part C"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "id": "86XH7FSneiSx"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(crime_vs_income[\"Average Total Annual Income (Thousands of US Dollars)\"], crime_vs_income[\"Number of Violent Crimes per Thousand Residents\"])\n",
    "plt.xlabel(\"Average Total Annual Income (Thousands of US Dollars)\", fontsize=12)\n",
    "plt.ylabel(\"Number of Violent Crimes per Thousand Residents\", fontsize=12)\n",
    "plt.title(\"Income vs Crime in Chicago (2019)\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "id": "IWhZ2TefeiSx",
    "vscode": {
     "languageId": "ruby"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pop_vs_crime = pd.merge(population, zip_freqs, on='ZIP')\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.scatter(pop_vs_crime['Population'], pop_vs_crime['Violent Crimes per Thousand Residents'])\n",
    "\n",
    "plt.xlabel('Population Size')\n",
    "plt.ylabel('Violent Crimes per Thousand Residents')\n",
    "plt.title('Population vs. Violent Crime Rate by ZIP Code in Chicago (2019)')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "EAyICwH4eiSx"
   },
   "source": [
    "# Code for Part D (if any)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "8IoI_Pu2eiSx"
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "dTDXGRFoeiSx"
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "Q-dVw5rAeiSx"
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "Lm-k-rt3eiSx"
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "colab": {
   "provenance": [
    {
     "file_id": "1Fap_8QQ_6g4RYoWKeljJn7ptbHlk5kVd",
     "timestamp": 1739134226191
    }
   ]
  },
  "kernelspec": {
   "display_name": "3.12.9",
   "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": "3.12.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}