logistic_model.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "logistic_model.ipynb",
      "provenance": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/gandalf1819/SF-Opioid-Crisis/blob/master/logistic_model.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CikSCrtH8pl5",
        "colab_type": "code",
        "outputId": "bb1c4437-3842-4bac-d1ed-fa42b4cd42c7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 121
        }
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/gdrive')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Go to this URL in a browser: https://accounts.google.com/o/oauth2/auth?client_id=947318989803-6bn6qk8qdgf4n4g3pfee6491hc0brc4i.apps.googleusercontent.com&redirect_uri=urn%3aietf%3awg%3aoauth%3a2.0%3aoob&response_type=code&scope=email%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdocs.test%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdrive%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdrive.photos.readonly%20https%3a%2f%2fwww.googleapis.com%2fauth%2fpeopleapi.readonly\n",
            "\n",
            "Enter your authorization code:\n",
            "··········\n",
            "Mounted at /content/gdrive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pa34Z6CG8qY5",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt \n",
        "import seaborn as sns\n",
        "from sklearn.metrics import accuracy_score\n",
        "from sklearn.metrics import roc_curve, roc_auc_score\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from math import ceil\n",
        "import scipy.stats as stats \n",
        "%matplotlib inline"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "J8oKlSUE8qhw",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "d_crime = pd.read_csv(\"/content/gdrive/My Drive/SF dataset/Police_Department_Incident_Reports__Historical_2003_to_May_2018.csv\")"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "H8ulpGSCB9Kj",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "d_crime.head(3)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FJytOVYZ8quE",
        "colab_type": "code",
        "outputId": "139dccab-4b44-46a1-c7cb-50afb89a69ce",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 482
        }
      },
      "source": [
        "#examing the frequency of each type of crime occuring in a given day of week\n",
        "frequency_table = pd.crosstab(d_crime[\"Category\"],d_crime[\"DayOfWeek\"],margins=1)\n",
        "frequency_table"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Figure size 720x360 with 0 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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yatUqqlSp4jXt8OHDGTFiBN26dQNg61brup333nuPihUrurZ3796dZgn/5ORk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65NmhKztWVIHZbsQS8h2VilLqXyUGTcRPYCkTb1nv44gjJdSKcJKBwLcA9mMd4Rr34DJ3I6TNJX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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x360 with 0 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "S9fI1h4XCGaZ",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#visualizing different types of crime happening in different PdDistrict\n",
        "frequency_table1 = pd.crosstab(d_crime[\"Category\"],d_crime[\"PdDistrict\"],margins=1)\n",
        "frequency_table1.plot(kind=\"bar\")\n",
        "plt.title(\"Frequency of crime - neighborhood\")\n",
        "plt.xlabel(\"crime category\")\n",
        "plt.ylabel(\"neighborhood\")\n",
        "plt.ylim(0,300000)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RiSe3Shl8q6N",
        "colab_type": "code",
        "outputId": "7659f7d3-c6c6-4d7f-e800-edeb3ea01934",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "#Exploring resolution and crime types, and found that Narcotic drug crime frequently result in arrested\n",
        "pd.crosstab(d_crime[\"Category\"],d_crime[\"Resolution\"],margins=1)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "\n",
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              "\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>Descript</th>\n",
              "      <th>ABANDONMENT OF CHILD</th>\n",
              "      <th>ABORTION</th>\n",
              "      <th>ACCESS CARD INFORMATION, PUBLICATION OF</th>\n",
              "      <th>ACCESS CARD INFORMATION, THEFT OF</th>\n",
              "      <th>ACCIDENTAL BURNS</th>\n",
              "      <th>ACCIDENTAL LACERATIONS</th>\n",
              "      <th>ACCIDENTAL SHOOTING</th>\n",
              "      <th>ACTS AGAINST PUBLIC TRANSIT</th>\n",
              "      <th>ADVERTISING DISTRIBUTORS PERMIT VIOLATION</th>\n",
              "      <th>AEROSOL CONTAINER; SALE, PURCHASE OR POSSESSION OF</th>\n",
              "      <th>AFFIXING ADVERTISMENTS TO POLES</th>\n",
              "      <th>AGGRAVATED ASSAULT OF POLICE OFFICER, SNIPING</th>\n",
              "      <th>AGGRAVATED ASSAULT OF POLICE OFFICER,BODILY FORCE</th>\n",
              "      <th>AGGRAVATED ASSAULT ON POLICE OFFICER WITH A GUN</th>\n",
              "      <th>AGGRAVATED ASSAULT ON POLICE OFFICER WITH A KNIFE</th>\n",
              "      <th>AGGRAVATED ASSAULT WITH A DEADLY WEAPON</th>\n",
              "      <th>AGGRAVATED ASSAULT WITH A GUN</th>\n",
              "      <th>AGGRAVATED ASSAULT WITH A KNIFE</th>\n",
              "      <th>AGGRAVATED ASSAULT WITH BODILY FORCE</th>\n",
              "      <th>AGGRESSIVE SOLICITING</th>\n",
              "      <th>AID OR HARBOR FELON</th>\n",
              "      <th>AIDED CASE</th>\n",
              "      <th>AIDED CASE -PROPERTY FOR DESTRUCTION</th>\n",
              "      <th>AIDED CASE, DOG BITE</th>\n",
              "      <th>AIDED CASE, INJURED PERSON</th>\n",
              "      <th>AIDED CASE, MENTAL DISTURBED</th>\n",
              "      <th>AIDED CASE, SICK PERSON</th>\n",
              "      <th>ALCOHOLIC BEVERAGE, PROCURING SALE OF</th>\n",
              "      <th>AMMUNITION, POSS. BY PROHIBITED PERSON</th>\n",
              "      <th>ANIMAL, FIGHTING</th>\n",
              "      <th>ANIMAL, WITHOUT PROPER CARE OR ATTENTION</th>\n",
              "      <th>ANNOY OR MOLEST CHILDREN</th>\n",
              "      <th>ARMOR PENETRATING AMMUNITION, POSSESSION</th>\n",
              "      <th>ARSON</th>\n",
              "      <th>ARSON OF A COMMERCIAL BUILDING</th>\n",
              "      <th>ARSON OF A POLICE BUILDING</th>\n",
              "      <th>ARSON OF A POLICE VEHICLE</th>\n",
              "      <th>ARSON OF A VACANT BUILDING</th>\n",
              "      <th>ARSON OF A VEHICLE</th>\n",
              "      <th>ARSON OF AN INHABITED DWELLING</th>\n",
              "      <th>...</th>\n",
              "      <th>VEHICLE, DISABLED PLACARD VIOLATION</th>\n",
              "      <th>VEHICLE, RECOVERED, AUTO</th>\n",
              "      <th>VEHICLE, RECOVERED, BUS</th>\n",
              "      <th>VEHICLE, RECOVERED, CAMPER-HOUSE CAR-MOTOR HOME</th>\n",
              "      <th>VEHICLE, RECOVERED, MOBILE HOME-TRAILER</th>\n",
              "      <th>VEHICLE, RECOVERED, MOTORCYCLE</th>\n",
              "      <th>VEHICLE, RECOVERED, OTHER VEHICLE</th>\n",
              "      <th>VEHICLE, RENTAL, FAILURE TO RETURN</th>\n",
              "      <th>VETERAN OR EX-SERVICEMAN, FALSE REPRESENTATION AS</th>\n",
              "      <th>VIN SWITCH</th>\n",
              "      <th>VIN, ALTER OR REMOVE</th>\n",
              "      <th>VIOLATION OF CALIF UNEMPLOYMENT INSURANCE ACT</th>\n",
              "      <th>VIOLATION OF CIVIL GANG INJUNCTION</th>\n",
              "      <th>VIOLATION OF EMERGENCY PROTECTIVE ORDER</th>\n",
              "      <th>VIOLATION OF FEDERAL STATUTE</th>\n",
              "      <th>VIOLATION OF FIRE CODE</th>\n",
              "      <th>VIOLATION OF MUNICIPAL CODE</th>\n",
              "      <th>VIOLATION OF MUNICIPAL POLICE CODE</th>\n",
              "      <th>VIOLATION OF PARK CODE</th>\n",
              "      <th>VIOLATION OF RESTRAINING ORDER</th>\n",
              "      <th>VIOLATION OF RESTRICTIONS ON A FIREARM TRANSFER</th>\n",
              "      <th>VIOLATION OF STATE LABOR CODE</th>\n",
              "      <th>VIOLATION OF STAY AWAY ORDER</th>\n",
              "      <th>VISITING WHERE DRUGS ARE USED OR SMOKED</th>\n",
              "      <th>WARRANT ARREST</th>\n",
              "      <th>WEAPON, ASSAULT, POSSESSION, MANUFACTURE, OR SALE</th>\n",
              "      <th>WEAPON, ASSAULT, REGISTRATION OR TRANSFER VIOLATION</th>\n",
              "      <th>WEAPON, DEADLY, CARRYING WITH INTENT TO COMMIT ASSAULT</th>\n",
              "      <th>WEAPON, DEADLY, EXHIBITING TO RESIST ARREST</th>\n",
              "      <th>WEAPON, DEADLY, POSSESSION OF TO VIOLATE 136.1 PC</th>\n",
              "      <th>WEAPON, POSSESS OR BRING OTHER ON SCHOOL GROUNDS</th>\n",
              "      <th>WEAPON, POSSESSING IN PUBLIC BUILDING OR OPEN MEETING</th>\n",
              "      <th>WEAPON, TAKING OR ATTEMPTING TO TAKE FROM PEACE OFFICER</th>\n",
              "      <th>WEAPONS POSSESSION BY JUVENILE SUSPECT</th>\n",
              "      <th>WEARING MASK OR DISGUISE FOR UNLAWFUL PURPOSE</th>\n",
              "      <th>WEARING THE APPAREL OF OPPOSITE SEX TO DECEIVE</th>\n",
              "      <th>WILLFUL CRUELTY TO CHILD</th>\n",
              "      <th>WIRETAPS, UNAUTHORIZED</th>\n",
              "      <th>YOUTH COURT</th>\n",
              "      <th>All</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Category</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
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              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>ARSON</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1266</td>\n",
              "      <td>173</td>\n",
              "      <td>6</td>\n",
              "      <td>3</td>\n",
              "      <td>78</td>\n",
              "      <td>1476</td>\n",
              "      <td>515</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3931</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ASSAULT</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>391</td>\n",
              "      <td>15</td>\n",
              "      <td>56</td>\n",
              "      <td>16405</td>\n",
              "      <td>2556</td>\n",
              "      <td>6073</td>\n",
              "      <td>12522</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>296</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>194694</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>BAD CHECKS</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>925</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>BRIBERY</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>813</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>BURGLARY</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>91543</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>DISORDERLY CONDUCT</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>10040</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>DRIVING UNDER THE INFLUENCE</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>5672</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>DRUG/NARCOTIC</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>147</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>119628</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>DRUNKENNESS</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>9826</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>EMBEZZLEMENT</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2988</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>EXTORTION</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>741</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>FAMILY OFFENSES</th>\n",
              "      <td>206</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1183</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>FORGERY/COUNTERFEITING</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>23050</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>FRAUD</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>19</td>\n",
              "      <td>949</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>41542</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>GAMBLING</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>348</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>KIDNAPPING</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>5346</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>LARCENY/THEFT</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>480448</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>LIQUOR LAWS</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>4083</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>LOITERING</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2430</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>MISSING PERSON</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>64961</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>NON-CRIMINAL</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>9</td>\n",
              "      <td>1</td>\n",
              "      <td>26</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>14250</td>\n",
              "      <td>2317</td>\n",
              "      <td>3543</td>\n",
              "      <td>2688</td>\n",
              "      <td>56313</td>\n",
              "      <td>571</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>22</td>\n",
              "      <td>238323</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>OTHER OFFENSES</th>\n",
              "      <td>0</td>\n",
              "      <td>16</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>682</td>\n",
              "      <td>67</td>\n",
              "      <td>0</td>\n",
              "      <td>8</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>339</td>\n",
              "      <td>59</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>14</td>\n",
              "      <td>40</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>98</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>10</td>\n",
              "      <td>35</td>\n",
              "      <td>1</td>\n",
              "      <td>29</td>\n",
              "      <td>238</td>\n",
              "      <td>114</td>\n",
              "      <td>78</td>\n",
              "      <td>5489</td>\n",
              "      <td>4138</td>\n",
              "      <td>1044</td>\n",
              "      <td>13597</td>\n",
              "      <td>0</td>\n",
              "      <td>17</td>\n",
              "      <td>1020</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>13</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>309358</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PORNOGRAPHY/OBSCENE MAT</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>59</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PROSTITUTION</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>16701</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>RECOVERED VEHICLE</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>521</td>\n",
              "      <td>0</td>\n",
              "      <td>48</td>\n",
              "      <td>1</td>\n",
              "      <td>44</td>\n",
              "      <td>8</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>8716</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ROBBERY</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>55867</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>RUNAWAY</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>4440</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>SECONDARY CODES</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>27</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>25831</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>SEX OFFENSES, FORCIBLE</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>371</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>11742</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>SEX OFFENSES, NON FORCIBLE</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>431</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>STOLEN PROPERTY</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>11891</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>SUICIDE</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1292</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>SUSPICIOUS OCC</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>80444</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>TREA</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>14</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>TRESPASS</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>19449</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>VANDALISM</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>52</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>116059</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>VEHICLE THEFT</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>16263</td>\n",
              "      <td>3</td>\n",
              "      <td>76</td>\n",
              "      <td>25</td>\n",
              "      <td>850</td>\n",
              "      <td>5091</td>\n",
              "      <td>29</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>126602</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>WARRANTS</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>56230</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>101379</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>WEAPON LAWS</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>488</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>37</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>179</td>\n",
              "      <td>12</td>\n",
              "      <td>186</td>\n",
              "      <td>79</td>\n",
              "      <td>4</td>\n",
              "      <td>280</td>\n",
              "      <td>37</td>\n",
              "      <td>23</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>22234</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>All</th>\n",
              "      <td>206</td>\n",
              "      <td>16</td>\n",
              "      <td>19</td>\n",
              "      <td>949</td>\n",
              "      <td>9</td>\n",
              "      <td>1</td>\n",
              "      <td>26</td>\n",
              "      <td>682</td>\n",
              "      <td>67</td>\n",
              "      <td>52</td>\n",
              "      <td>8</td>\n",
              "      <td>2</td>\n",
              "      <td>391</td>\n",
              "      <td>15</td>\n",
              "      <td>56</td>\n",
              "      <td>16405</td>\n",
              "      <td>2556</td>\n",
              "      <td>6073</td>\n",
              "      <td>12522</td>\n",
              "      <td>339</td>\n",
              "      <td>59</td>\n",
              "      <td>14250</td>\n",
              "      <td>2317</td>\n",
              "      <td>3543</td>\n",
              "      <td>2688</td>\n",
              "      <td>56313</td>\n",
              "      <td>571</td>\n",
              "      <td>2</td>\n",
              "      <td>488</td>\n",
              "      <td>14</td>\n",
              "      <td>40</td>\n",
              "      <td>371</td>\n",
              "      <td>4</td>\n",
              "      <td>1266</td>\n",
              "      <td>173</td>\n",
              "      <td>6</td>\n",
              "      <td>3</td>\n",
              "      <td>78</td>\n",
              "      <td>1476</td>\n",
              "      <td>515</td>\n",
              "      <td>...</td>\n",
              "      <td>98</td>\n",
              "      <td>16784</td>\n",
              "      <td>3</td>\n",
              "      <td>124</td>\n",
              "      <td>26</td>\n",
              "      <td>894</td>\n",
              "      <td>5099</td>\n",
              "      <td>29</td>\n",
              "      <td>1</td>\n",
              "      <td>10</td>\n",
              "      <td>35</td>\n",
              "      <td>1</td>\n",
              "      <td>29</td>\n",
              "      <td>238</td>\n",
              "      <td>114</td>\n",
              "      <td>78</td>\n",
              "      <td>5489</td>\n",
              "      <td>4138</td>\n",
              "      <td>1044</td>\n",
              "      <td>13597</td>\n",
              "      <td>37</td>\n",
              "      <td>17</td>\n",
              "      <td>1020</td>\n",
              "      <td>147</td>\n",
              "      <td>56230</td>\n",
              "      <td>179</td>\n",
              "      <td>12</td>\n",
              "      <td>186</td>\n",
              "      <td>79</td>\n",
              "      <td>4</td>\n",
              "      <td>280</td>\n",
              "      <td>37</td>\n",
              "      <td>23</td>\n",
              "      <td>27</td>\n",
              "      <td>13</td>\n",
              "      <td>2</td>\n",
              "      <td>296</td>\n",
              "      <td>4</td>\n",
              "      <td>22</td>\n",
              "      <td>2215024</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>40 rows × 916 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "Descript                     ABANDONMENT OF CHILD  ...      All\n",
              "Category                                           ...         \n",
              "ARSON                                           0  ...     3931\n",
              "ASSAULT                                         0  ...   194694\n",
              "BAD CHECKS                                      0  ...      925\n",
              "BRIBERY                                         0  ...      813\n",
              "BURGLARY                                        0  ...    91543\n",
              "DISORDERLY CONDUCT                              0  ...    10040\n",
              "DRIVING UNDER THE INFLUENCE                     0  ...     5672\n",
              "DRUG/NARCOTIC                                   0  ...   119628\n",
              "DRUNKENNESS                                     0  ...     9826\n",
              "EMBEZZLEMENT                                    0  ...     2988\n",
              "EXTORTION                                       0  ...      741\n",
              "FAMILY OFFENSES                               206  ...     1183\n",
              "FORGERY/COUNTERFEITING                          0  ...    23050\n",
              "FRAUD                                           0  ...    41542\n",
              "GAMBLING                                        0  ...      348\n",
              "KIDNAPPING                                      0  ...     5346\n",
              "LARCENY/THEFT                                   0  ...   480448\n",
              "LIQUOR LAWS                                     0  ...     4083\n",
              "LOITERING                                       0  ...     2430\n",
              "MISSING PERSON                                  0  ...    64961\n",
              "NON-CRIMINAL                                    0  ...   238323\n",
              "OTHER OFFENSES                                  0  ...   309358\n",
              "PORNOGRAPHY/OBSCENE MAT                         0  ...       59\n",
              "PROSTITUTION                                    0  ...    16701\n",
              "RECOVERED VEHICLE                               0  ...     8716\n",
              "ROBBERY                                         0  ...    55867\n",
              "RUNAWAY                                         0  ...     4440\n",
              "SECONDARY CODES                                 0  ...    25831\n",
              "SEX OFFENSES, FORCIBLE                          0  ...    11742\n",
              "SEX OFFENSES, NON FORCIBLE                      0  ...      431\n",
              "STOLEN PROPERTY                                 0  ...    11891\n",
              "SUICIDE                                         0  ...     1292\n",
              "SUSPICIOUS OCC                                  0  ...    80444\n",
              "TREA                                            0  ...       14\n",
              "TRESPASS                                        0  ...    19449\n",
              "VANDALISM                                       0  ...   116059\n",
              "VEHICLE THEFT                                   0  ...   126602\n",
              "WARRANTS                                        0  ...   101379\n",
              "WEAPON LAWS                                     0  ...    22234\n",
              "All                                           206  ...  2215024\n",
              "\n",
              "[40 rows x 916 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zlElIlAH8q1a",
        "colab_type": "code",
        "outputId": "9e817046-5a0c-4b02-8870-5392b364f5d8",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 118
        }
      },
      "source": [
        "#The following test correlation between variables. Specificly how associated 1 variable is to another\n",
        "#Trying to find the best predictor x for y variable, also checking how independent each x variables are\n",
        "#This will run a little longer, please be patient\n",
        "def association_test(column1,column2): #reference https://stackoverflow.com/questions/20892799/using-pandas-calculate-cram%C3%A9rs-coefficient-matrix\n",
        "    frequency_matrix = pd.crosstab(column1,column2)\n",
        "    chi2 = stats.chi2_contingency(frequency_matrix)[0]\n",
        "    sample_size = frequency_matrix.sum().sum()\n",
        "    return np.sqrt(chi2/(sample_size*(min(frequency_matrix.shape)-1)))\n",
        "interested_columns=[\"Category\",\"Descript\",\"PdDistrict\",\"Resolution\",\"Address\",\"DayOfWeek\"]\n",
        "association_table=pd.DataFrame(index=interested_columns,columns=interested_columns)\n",
        "for x in range(0,len(interested_columns)):   #loop for each column name \n",
        "  for i in range(0,len(interested_columns)):\n",
        "    if x==i:                                #this is for building the output table, meaning variable A is 1 associated with itself \n",
        "      association_table.at[interested_columns[x],interested_columns[i]]=1.0\n",
        "    else:                                   #test association score, put them in the association table\n",
        "      scores=association_test(d_crime[interested_columns[x]],d_crime[interested_columns[i]])\n",
        "      association_table.at[interested_columns[x],interested_columns[i]]=scores\n",
        "print(association_table)\n",
        "print(\"It looks like DayofWeek data aren't very good predictor of Y,this makes sense because crimes occure all the time\")\n",
        "print(\"Category is highly associated with description\")\n",
        "print(\"Overall x variables aren't very good predictors of Y\")"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "            Category  Descript PdDistrict Resolution   Address\n",
            "Category           1  0.992322   0.121316   0.278839  0.217532\n",
            "Descript    0.992322         1   0.173501   0.377362  0.121085\n",
            "PdDistrict  0.121316  0.173501          1  0.0816598  0.993779\n",
            "Resolution  0.278839  0.377362  0.0816598          1   0.21391\n",
            "Address     0.217532  0.121085   0.993779    0.21391         1\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "M8PUcV8t8qd_",
        "colab_type": "code",
        "outputId": "49e06830-4da5-4407-f4df-587fcc5ad9b1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 134
        }
      },
      "source": [
        "# Select those narcotic crimes, and run correlation test on them see if theres difference \n",
        "cat=d_crime[d_crime['Category']=='DRUG/NARCOTIC']\n",
        "newinterested_columns=[\"Descript\",\"PdDistrict\",\"Resolution\",\"Address\",\"X\",\"Y\"]\n",
        "association_table2=pd.DataFrame(index=newinterested_columns,columns=newinterested_columns)\n",
        "for x in range(0,len(newinterested_columns)):\n",
        "  for i in range(0,len(newinterested_columns)):\n",
        "    if x==i:\n",
        "      association_table2.at[newinterested_columns[x],newinterested_columns[i]]=1.0\n",
        "    else:\n",
        "      scores2=association_test(cat[newinterested_columns[x]],cat[newinterested_columns[i]])\n",
        "      association_table2.at[newinterested_columns[x],newinterested_columns[i]]=scores2\n",
        "print(association_table2)\n",
        "print(\"one significance is that the correlation between address and descript raises, so is resolution and address\")\n",
        "print(\"so it looks like for narcotic relatied crimes, the address is more correlated with resolution\")"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "            Descript PdDistrict Resolution   Address\n",
            "Descript           1   0.186657   0.156092  0.343304\n",
            "PdDistrict  0.186657          1  0.0495451  0.993057\n",
            "Resolution  0.156092  0.0495451          1  0.413896\n",
            "Address     0.343304   0.993057   0.413896         1\n",
            "in all the crime cases that involve drugs, comparing to the above association analysis\n",
            "one significance is that the correlation between address and descript raises, so is resolution and address\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MOVsvfzw9JHH",
        "colab_type": "text"
      },
      "source": [
        "Logistic regression"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "t_wSm-qK8qb_",
        "colab_type": "code",
        "outputId": "846b6f17-12d8-4cf3-f670-e6efb580b8e5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 296
        }
      },
      "source": [
        "#copy d_crime, make a memo to store True and False, transform non-narcotic crime to 0 and narcotic to 1\n",
        "log_crime=d_crime.copy()\n",
        "memo=log_crime['Category']=='DRUG/NARCOTIC'\n",
        "log_crime[\"Category\"].where(memo,other=np.zeros(shape=len(log_crime),dtype=int),inplace=True)\n",
        "log_crime[\"Category\"].where(~memo,other=np.ones(shape=len(log_crime),dtype=int),inplace=True)\n",
        "log_crime[\"Category\"].value_counts()\n",
        "sns.countplot(x=\"Category\",hue=\"DayOfWeek\",data=log_crime) \n",
        "print(\"For non-narcotic crimes and narcotic ones, there is no a particular day that has more crimes\")"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7efc6a566c50>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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XVioUETlHYZYOl7Rhw4YxaNAgIiMjiYyMpHnz5gBERUURExNDo0aNqFevHm3bnv3spT59\n+nDgwIFrchdoJRcRkUt0/Pjx78UGDhzIwIEDg58jIiLYunUrEJijSU5OLrCupKSk87azZs0ahgwZ\nckV9LSlKLiIiV6HmzZtToUIFXn755ZLuymVRchERuQqlpaWVdBeuiCb0RUTEd0ouIiLiOyUXERHx\nXZElFzOrZ2Yfmdl2M9tmZr/w4uPMbI+ZpXuv+/Kd82sz22lmn5lZp3zxe7zYTjN7Jl+8vpn9w4u/\naWY/8OJlvM87veMRRXWdIiLyfUU5oX8a+KVzbpOZVQLSzGypd+x/nXMv5S9sZrcDvYDGQG1gmZk1\n9A7/Cbgb2A1sNLP3nXPbgf/x6ko2sz8DjwBTvJ/fOOduNbNeXrmeRXitIlJC2r7a9uKFLsHaUWsv\nWsbM6NOnD7NnzwYCuyDXqlWL+Ph4Fi5ceMV9GDduHBUrVuTJJ5+84rpKSpHduTjn9jrnNnnvjwGZ\nQJ0LnNIFSHbOfeec2wXsBFp6r53OuS+ccyeBZKCLmRnQAcjb03om8GC+umZ67+cDHb3yIiJXrEKF\nCmzdujW4u/HSpUupU+dCf95uPMUy5+INS8UA//BCI80sw8ymm1moF6sDfJXvtN1e7Hzx6sBh59zp\nc+Jn1eUdP+KVP7dfQ80s1cxSDxw4cEXXKCI3lvvuu4+//e1vAMybN4+HH344eOzQoUM8+OCDNGvW\njFatWgW3exk3bhyDBw8mISGBW265hVdeeSV4zsSJE2nYsCHt2rXjs88+C8Zfe+01WrRoQVRUFN26\ndePbb7/l2LFj1K9fn1OnTgGBbWTyf74aFHlyMbOKwDvAaOfcUQLDVj8GooG9QIl9Q8g5N805F+ec\niwsPDy+pbojINahXr14kJydz4sQJMjIyiI+PDx4bO3YsMTExZGRk8Pzzz9O/f//gsU8//ZQlS5aw\nYcMGxo8fz6lTp0hLSyM5OZn09HQWLVrExo0bg+UfeughNm7cyObNm4mMjOSNN96gUqVKJCQkBJNb\ncnIyDz30EKVLly6+X8BFFGlyMbPSBBLLHOfcXwGcc/ucc7nOuTPAawSGvQD2APXynV7Xi50vng1U\nNbNS58TPqss7XsUrLyLii2bNmpGVlcW8efO47777zjq2Zs0a+vXrB0CHDh3Izs7m6NGjANx///2U\nKVOGsLAwatSowb59+/j444/p2rUr5cuXp3LlynTu3DlY19atW7njjjto2rQpc+bMYdu2bQA8+uij\nzJgxA4AZM2ZcdZtbFuVqMQPeADKdc7/PF6+Vr1hXYKv3/n2gl7fSqz7QANgAbAQaeCvDfkBg0v99\n55wDPgK6e+cPAN7LV9cA7313YIVXXkTEN507d+bJJ588a0jsYsqUKRN8HxISwunTpy9QOrBn2eTJ\nk9myZQtjx44Nbsnftm1bsrKyWLlyJbm5ucGnXl4tivLOpS3QD+hwzrLjF8xsi5llAHcCjwM457YB\nbwHbgb8DI7w7nNPASGAJgUUBb3llAZ4GnjCznQTmVN7w4m8A1b34E0Bw+bKIiF8GDx7M2LFjadq0\n6VnxO+64gzlz5gCwcuVKwsLCqFy58nnrad++PQsWLCAnJ4djx47xwQcfBI8dO3aMWrVqcerUqWCd\nefr370/v3r2vursWKMKlyM65NUBBK7QWXeCcicDEAuKLCjrPOfcF/xlWyx8/AfS4lP6KyLWpMEuH\ni0rdunV57LHHvhfPm7hv1qwZ5cuXZ+bMmQWc/R+xsbH07NmTqKgoatSoQYsWLYLHnnvuOeLj4wkP\nDyc+Pp5jx44Fj/Xp04ff/OY3l3TnVFy0caWIyCUqaMv9hIQEEhISAKhWrRoLFiz4Xplx48ad9Tlv\nS36AMWPGMGbMmO+dM2zYMIYNG1ZgP9asWUP37t2pWrXqJfS+eCi5iIhcg0aNGsXixYtZtOi8g0El\nSslFROQa9Oqrr5Z0Fy5IG1eKiIjvlFxERMR3Si4iIuI7JRcREfGdJvRF5Jq2qv1PfK3vJ6tXXfB4\ndnY2HTt2BODrr78mJCSEvL0JN2zYwA9+8ANf+9OuXTsmT55MdHS0r/UWNSUXEZFLUL16ddLT04Hr\n47krRUXDYiIiPti5c+dZdxeTJk1iwoQJAOzYsYNOnTrRvHlz2rdvz+effw4EdjNu0qQJUVFR3Hnn\nnQB8++239OjRg8jISLp16xbcSwxg6NChxMXF0bhxY5599lkAPvzwQ7p37x4ss3jxYnr0KPkNSnTn\nIiJSxIYOHcrrr7/Oj3/8Y9auXcvIkSP58MMPGT9+PCtXrqRmzZocPnwYgMmTJxMaGkpmZiaffPIJ\ncXFxwXomTZpEtWrVOH36NHfeeSfdu3fnrrvuYuTIkWRnZ1O9enVmzJjB4MGDS+pSg3TnIiJShA4f\nPsz69evp1q0b0dHRjBgxgn/9619AYGfj/v378/rrr3PmzBkAVq9eTd++fQGIiYmhcePGwbrmzZtH\nbGwssbGxZGZmsn37dm666Sb69OnD3LlzOXToEGlpaSQmJhb/hZ5Ddy4iIj4oVapUMEEAnDhxglKl\nSuGcIywsLDhPk99rr73GP/7xDxYuXEhsbCyffPLJeevfsWMHf/zjH9mwYQNVq1alb9++wSGzwYMH\n061bNwB69uxJSEiIz1d36XTnIiLigx/+8If861//4ptvvuHEiRPBp0SGhoZSq1Yt3n33XQDOnDnD\n5s2bAfjiiy9o1aoVzz33HKGhoezZs4f27dszd+5cADZv3hx8ONjRo0epVKkSlStXZu/evSxZsiTY\ndr169QgLC2PSpEkMHDiwGK/6/HTnIiLXtIstHS4uZcuW5b//+7+Ji4ujTp063H777cFjycnJDBs2\njHHjxnHy5En69u1LVFQUjz/+OLt27cI5R2JiIk2aNOGWW25hwIABREZG0rhxY2JiYoDAtvy33347\njRo14uabb6Zt27Zntd+7d2+OHj1Kw4YNi/W6z0fJRUTkMp27hf4TTzzBE0888b1yt9xyy1l3Gnne\nf//978XKly/P22+/XWB7f/nLX87blzVr1jBkyJCL9Lj4KLmIiFzjoqOjCQ0N5ZVXXinprgQpuYiI\nXOMKWixQ0jShLyIivlNyERER3ym5iIiI75RcRETEd5rQF5Fr2uRffuBrfSNffqBQ5SZOnMjcuXMJ\nCQnhpptuYurUqcTHxxdYNikpicTERGrXrn1FfUtISOCll146a7+xq1WR3bmYWT0z+8jMtpvZNjP7\nhRevZmZLzWyH9zPUi5uZvWJmO80sw8xi89U1wCu/w8wG5Is3N7Mt3jmvmJldqA0RET+sW7eOhQsX\nsmnTJjIyMli2bBn16tU7b/mkpKTgfmKFdfr06SvtZokqymGx08AvnXO3A62AEWZ2O/AMsNw51wBY\n7n0GuBdo4L2GAlMgkCiAsUA80BIYmy9ZTAGG5DvvHi9+vjZERK7Y3r17CQsLo0yZMgCEhYVRu3Zt\nnn32WVq0aEGTJk0YOnQozjnmz59Pamoqffr0ITo6mpycHCIiIjh48CAAqampJCQkAIEvZfbr14+2\nbdvSr18/cnJy6NWrF5GRkXTt2pWcnJxgH4YNGxbcfn/s2LEArFixggcffDBYZunSpXTt2rWYfitn\nK7Lk4pzb65zb5L0/BmQCdYAuwEyv2Ewg7zfRBZjlAtYDVc2sFtAJWOqcO+Sc+wZYCtzjHavsnFvv\nnHPArHPqKqgNEZErlpiYyFdffUXDhg0ZPnw4q1YFtqAZOXIkGzduZOvWreTk5LBw4UK6d+9OXFwc\nc+bMIT09nXLlyl2w7u3bt7Ns2TLmzZvHlClTKF++PJmZmYwfP560tLRguYkTJ5KamkpGRgarVq0i\nIyODO++8k08//ZQDBw4AlOj2+8UyoW9mEUAM8A+gpnNur3foa6Cm974O8FW+03Z7sQvFdxcQ5wJt\nnNuvoWaWamapef9jiIhcTMWKFUlLS2PatGmEh4fTs2dPkpKS+Oijj4iPj6dp06asWLEiuOnkpejc\nuXMwAeXffr9Zs2Y0a9YsWO6tt94iNjaWmJgYtm3bxvbt2zEz+vXrx+zZszl8+DDr1q3j3nvv9eei\nL1GRT+ibWUXgHWC0c+6oNy0CgHPOmZkryvYv1IZzbhowDSAuLq5I+yEi15eQkBASEhJISEigadOm\nTJ06lYyMDFJTU6lXrx7jxo076ymS+eXfnv/cMhUqVLho27t27eKll15i48aNhIaGMnDgwGA9gwYN\n4oEHHqBs2bL06NGDUqVKZt1Wkd65mFlpAolljnPur154nzekhfdzvxffA+SfEavrxS4Ur1tA/EJt\niIhcsc8++4wdO3YEP6enp3PbbbcBgfmX48ePM3/+/ODxSpUqcezYseDniIiI4BDXO++8c9528m+/\nv3XrVjIyMoDA9vsVKlSgSpUq7Nu3j8WLFwfPqV27NrVr12bChAkMGjTIh6u9PEWW0ryVW28Amc65\n3+c79D4wAJjk/XwvX3ykmSUTmLw/4pzba2ZLgOfzTeInAr92zh0ys6Nm1orAcFt/4NWLtCEi15nC\nLh320/Hjxxk1ahSHDx+mVKlS3HrrrUybNo2qVavSpEkTfvjDH9KiRYtg+YEDB/Lzn/+ccuXKsW7d\nOsaOHcsjjzzCb3/72+BkfkGGDRvGoEGDiIyMJDIykubNmwMQFRVFTEwMjRo1ol69et/bfr9Pnz4c\nOHCAyMjIIrn+wrDAXHgRVGzWDvgY2ALkPZ7tvwkkgreAHwFfAj/1EoUBkwms+PoWGOScS/XqGuyd\nCzDROTfDi8cBSUA5YDEwyhsGq15QGxfqb1xcnEtNTb2ia27+q1lXdH5+71Z60be6Hg6t7Ftdz7/t\n33+PbGnxpG91Hdk38+KFCumhyOG+1QUQOaaDr/Xd6DIzM0v0j+a1YOTIkcTExPDII4/4Wm9Bv3sz\nS3POfe+LN0V25+KcWwPYeQ53LKC8A0acp67pwPQC4qlAkwLi2QW1ISJyvWvevDkVKlTg5ZdfLtF+\n6Bv6IiLXkfzLlUuS9hYTERHfKbmIiIjvCpVczGx5YWIiIiJwkTkXMysLlAfCvKXAeRP0lfnPt+FF\nRETOcrEJ/Z8Bo4HaQBr/SS5HCSwbFhEpURP7dve1vjGz51+0zOOPP87NN9/M6NGjAejUqRP16tXj\n9ddfB+CXv/wlderU4YknnrhoXePGjaNixYo8+aR/S/PzS0pKIjU1lcmTi/dP9gWHxZxzf3TO1Qee\ndM7d4pyr772inHNKLiJyQ2rbti0pKSkAnDlzhoMHD561j1hKSgpt2rQpqe5dFQo15+Kce9XM2phZ\nbzPrn/cq6s6JiFyN2rRpw7p16wDYtm0bTZo0oVKlSnzzzTd89913ZGZmEhsby4svvkiLFi1o1qxZ\ncFt8COxo3LBhQ9q1a8dnn30WjCckJPD000/TsmVLGjZsyMcffwxAbm4uv/rVr4J1TZ06FQhs/d++\nfXuio6Np0qRJsPyMGTNo2LAhLVu2ZO3atcH6P/jgA+Lj44mJieGuu+5i3759nDlzhgYNGgR3Uj5z\n5gy33norV7qZb6G+52JmfwF+DKQDuV44b5t7EZEbSu3atSlVqhT//Oc/SUlJoXXr1uzZs4d169ZR\npUoVmjZtysqVK9mxYwcbNmzAOUfnzp1ZvXo1FSpUIDk5mfT0dE6fPk1sbGxwWxcIPCRsw4YNLFq0\niPHjx7Ns2TLeeOMNqlSpwsaNG/nuu+9o27YtiYmJ/PWvf6VTp06MGTOG3Nxcvv32W/bu3cvYsWNJ\nS0ujSpUq3HnnncTExADQrl071q9fj5nx+uuv88ILL/Dyyy/Tt29f5syZw+jRo1m2bBlRUVGEh4df\n0e+osF+ijANud0W1V4yIyDWmTZs2pKSkkJKSwhNPPMGePXtISUmhSpUqtG3blg8//JAPP/ww+If9\n+PHj7Nixg2PHjtG1a1fKly8PBLbYz++hhx4CAt+0z8rKAuDDDz8kIyMjuBnmkSNH2LFjBy1atGDw\n4MGcOnWKBx98kOjoaJYvX05CQkIwOfTs2ZPPP/8cgN27d9OzZ0/27t3LyZMnqV+/PgCDBw+mS5cu\njB49munTp/uy4WVhv+eyFfjhFbcmInKdyJt32bJlC02aNKFVq1asW7cuON/inOPXv/416enppKen\ns3PnzkLt9ZX3dMuQkJDgo46dc7z66qvBunbt2kViYiLt27dn9erV1KlTh4EDBzJr1oUHk0aNGsXI\nkSPZsmULU6dODW7TX69ePdu3yZ8AABEzSURBVGrWrMmKFSvYsGGDL8+AKWxyCQO2m9kSM3s/73XF\nrYuIXKPatGnDwoULqVatGiEhIVSrVi34gK42bdrQqVMnpk+fzvHjxwHYs2cP+/fvp3379ixYsICc\nnByOHTvGBx98cNG2OnXqxJQpUzh16hQAn3/+Of/+97/58ssvqVmzJkOGDOHRRx9l06ZNxMfHs2rV\nKrKzszl16hRvv/12sJ4jR45Qp07gWyQzZ5692eujjz5K37596dGjByEhIVf8+ynssNi4K25JRKQI\nFGbpcFFo2rQpBw8epHfv3mfFjh8/TlhYGImJiWRmZtK6dWsg8PTK2bNnExsbS8+ePYmKiqJGjRpn\nbc1/Po8++ihZWVnExsbinCM8PJwFCxawcuVKXnzxRUqXLk3FihWZNWsWtWrVYty4cbRu3ZqqVasS\nHR0drGfcuHH06NGD0NBQOnTowK5du4LHOnfuzKBBg3x7BkyRbbl/rdGW+4WjLfcvnbbc95e23C8a\nqampPP7448EVZwXxfct9MztGYHUYwA+A0sC/nXP+/dUSEZESMWnSJKZMmcKcOXN8q7NQycU5Vynv\nvfdQry5AK996ISIiJeaZZ57hmWee8bXOS94V2QUsADr52hMREbluFHZY7KF8H28i8L2XE0XSIxER\nueYVdnb2gXzvTwNZBIbGREREvqewcy7+rE0TEZEbQmGHxeoCrwJtvdDHwC+cc7uLqmMiIoWROXGF\nr/UVdun4xIkTmTt3LiEhIdx0001MnTqV+Pj4K2q7qLffL06FHRabAcwFenif+3qxu4uiUyIiV7N1\n69axcOFCNm3aRJkyZTh48CAnT54s6W5dVQq7WizcOTfDOXfaeyUBV7ZlpojINWrv3r2EhYUF9wEL\nCwujdu3aREREcPDgQSDwpcSEhAQgcEcyePBgEhISuOWWW3jllVeCdZ1v+/3XXnuNFi1aEBUVRbdu\n3fj22285duwY9evXD24Dc/To0bM+X00Km1yyzayvmYV4r75A9oVOMLPpZrbfzLbmi40zsz1mlu69\n7st37NdmttPMPjOzTvni93ixnWb2TL54fTP7hxd/08x+4MXLeJ93escjCnmNIiKFkpiYyFdffUXD\nhg0ZPnw4q1atuug5n376KUuWLGHDhg2MHz+eU6dOkZaWFtx+f9GiRWzcuDFY/qGHHmLjxo1s3ryZ\nyMhI3njjDSpVqkRCQgJ/+9vfAEhOTuahhx6idOnSRXatl6uwyWUw8FPga2Av0B0YeJFzkoB7Coj/\nr3Mu2nstAjCz24FeQGPvnP+bl8iAPwH3ArcDD3tlAf7Hq+tW4Bsgb7vRR4BvvPj/euVERHxTsWJF\n0tLSmDZtGuHh4fTs2ZOkpKQLnnP//fdTpkwZwsLCqFGjBvv27ePjjz8Obr9fuXLls7bf37p1K3fc\ncQdNmzZlzpw5wSddPvroo8yYMQMIPBTMr73A/FbYOZdngQHOuW8AzKwa8BKBpFMg59zqS7hr6AIk\nO+e+A3aZ2U6gpXdsp3PuC6/dZKCLmWUCHYC8HeNmEthcc4pX1zgvPh+YbGamZ9GIiJ9CQkJISEgg\nISGBpk2bMnPmTEqVKsWZM2cAgtvZ58kbQss7N287/fMZOHAgCxYsICoqiqSkJFauXAkEtvrPyspi\n5cqV5Obm0qRJE38vzCeFvXNplpdYAJxzh4CYy2xzpJlleMNmoV6sDvBVvjK7vdj54tWBw8650+fE\nz6rLO37EK/89ZjbUzFLNLPVKH+kpIjeOzz77jB07dgQ/p6enc/PNNxMREUFaWhoA77zzzkXrudD2\n+8eOHaNWrVqcOnXqe3t+9e/fn969e1+1dy1Q+DuXm8ws9Jw7l8vZHncK8ByBTTCfA17mAnc/Rc05\nNw2YBoFdkUuqHyJy+Upi1+njx48zatQoDh8+TKlSpbj11luZNm0amZmZPPLII/z2t78NTuZfyIW2\n33/uueeIj48nPDyc+Ph4jh07FjzWp08ffvOb3/Dwww8XxeX5orAJ4mVgnZnlPXWmBzDxUhtzzu3L\ne29mrwELvY97gHr5itb1Ypwnng1UNbNS3t1J/vJ5de02s1JAFS6y+EBE5FI0b96clJSU78XvuOOO\n4COF8xs3btxZn7duDa5zYsyYMYwZM+Z75wwbNoxhw4YV2P6aNWvo3r07VatWvcSeF5/CfkN/lpml\nEpjnAHjIObf9Uhszs1rOub3ex64EHp8M8D4w18x+D9QGGgAbAAMamFl9AkmjF9DbOefM7CMCCwuS\ngQHAe/nqGgCs846v0HyLiFwvRo0axeLFi1m0aFFJd+WCCj205SWTQicUM5sHJABhZrYbGAskmFk0\ngWGxLOBnXt3bzOwtr/7TwAjnXK5Xz0hgCRACTHfObfOaeBpINrMJwCfAG178DeAv3qKAQwQSkojI\ndeHVV18t6S4Uin+PFTyHc66gwcA3CojllZ9IAUNt3nLl76VobwVZywLiJ/jPTgIich1yzhF4tJQU\nl0sdALrk57mIiJSksmXLkp2dfcl/7OTyOefIzs6mbNmyhT6nyO5cRESKQt26ddm9ezf6+kDxKlu2\nLHXr1i10eSUXEbmmlC5dmvr165d0N+QiNCwmIiK+U3IRERHfKbmIiIjvlFxERMR3Si4iIuI7JRcR\nEfGdkouIiPhOyUVERHyn5CIiIr5TchEREd8puYiIiO+UXERExHdKLiIi4jslFxER8Z2Si4iI+E7J\nRUREfKfkIiIivlNyERER3ym5iIiI75RcRETEd0WWXMxsupntN7Ot+WLVzGypme3wfoZ6cTOzV8xs\np5llmFlsvnMGeOV3mNmAfPHmZrbFO+cVM7MLtSEiIsWnKO9ckoB7zok9Ayx3zjUAlnufAe4FGniv\nocAUCCQKYCwQD7QExuZLFlOAIfnOu+cibYiISDEpsuTinFsNHDon3AWY6b2fCTyYLz7LBawHqppZ\nLaATsNQ5d8g59w2wFLjHO1bZObfeOeeAWefUVVAbIiJSTIp7zqWmc26v9/5roKb3vg7wVb5yu73Y\nheK7C4hfqI3vMbOhZpZqZqkHDhy4jMsREZGClNiEvnfH4UqyDefcNOdcnHMuLjw8vCi7IiJyQynu\n5LLPG9LC+7nfi+8B6uUrV9eLXShet4D4hdoQEZFiUtzJ5X0gb8XXAOC9fPH+3qqxVsARb2hrCZBo\nZqHeRH4isMQ7dtTMWnmrxPqfU1dBbYiISDEpVVQVm9k8IAEIM7PdBFZ9TQLeMrNHgC+Bn3rFFwH3\nATuBb4FBAM65Q2b2HLDRK/escy5vkcBwAivSygGLvRcXaENERIpJkSUX59zD5znUsYCyDhhxnnqm\nA9MLiKcCTQqIZxfUhoiIFB99Q19ERHyn5CIiIr5TchEREd8puYiIiO+UXERExHdKLiIi4jslFxER\n8Z2Si4iI+E7JRUREfKfkIiIivlNyERER3ym5iIiI75RcRETEd0ouIiLiOyUXERHxnZKLiIj4TslF\nRER8p+QiIiK+U3IRERHfKbmIiIjvlFxERMR3Si4iIuI7JRcREfFdiSQXM8sysy1mlm5mqV6smpkt\nNbMd3s9QL25m9oqZ7TSzDDOLzVfPAK/8DjMbkC/e3Kt/p3euFf9ViojcuEryzuVO51y0cy7O+/wM\nsNw51wBY7n0GuBdo4L2GAlMgkIyAsUA80BIYm5eQvDJD8p13T9FfjoiI5LmahsW6ADO99zOBB/PF\nZ7mA9UBVM6sFdAKWOucOOee+AZYC93jHKjvn1jvnHDArX10iIlIMSiq5OOBDM0szs6FerKZzbq/3\n/mugpve+DvBVvnN3e7ELxXcXEBcRkWJSqoTabeec22NmNYClZvZp/oPOOWdmrqg74SW2oQA/+tGP\niro5EZEbRoncuTjn9ng/9wPvEpgz2ecNaeH93O8V3wPUy3d6XS92oXjdAuIF9WOacy7OORcXHh5+\npZclIiKeYk8uZlbBzCrlvQcSga3A+0Deiq8BwHve+/eB/t6qsVbAEW/4bAmQaGah3kR+IrDEO3bU\nzFp5q8T656tLRESKQUkMi9UE3vVWB5cC5jrn/m5mG4G3zOwR4Evgp175RcB9wE7gW2AQgHPukJk9\nB2z0yj3rnDvkvR8OJAHlgMXeS0REikmxJxfn3BdAVAHxbKBjAXEHjDhPXdOB6QXEU4EmV9xZERG5\nLFfTUmQREblOKLmIiIjvlFxERMR3Si4iIuI7JRcREfGdkouIiPhOyUVERHyn5CIiIr5TchEREd8p\nuYiIiO+UXERExHdKLiIi4jslFxER8V1JPYlSROSGMbFvd9/qGjN7vm91FSUlFxG5Lqxq/xNf6/vJ\n6lW+1nejUXIRuQE0/9Us3+pKe7G/b3XJ9UvJRUQuyT+fbepbXQ+HVvatruf15+yqogl9ERHxnVK9\niEgBJv/yg5LuQoEyJ67wra7IMR18q+tcunMRERHfKbmIiIjvlFxERMR3Si4iIuI7JRcREfHddZtc\nzOweM/vMzHaa2TMl3R8RkRvJdZlczCwE+BNwL3A78LCZ3V6yvRIRuXFcl8kFaAnsdM594Zw7CSQD\nXUq4TyIiNwxzzpV0H3xnZt2Be5xzj3qf+wHxzrmR55QbCgz1Pt4GfFasHb2+hQEHS7oTIgXQv01/\n3eycCz83eEN/Q985Nw2YVtL9uB6ZWapzLq6k+yFyLv3bLB7X67DYHqBevs91vZiIiBSD6zW5bAQa\nmFl9M/sB0At4v4T7JCJyw7guh8Wcc6fNbCSwBAgBpjvntpVwt240Gm6Uq5X+bRaD63JCX0REStb1\nOiwmIiIlSMlFRER8p+QivtK2O3K1MrPpZrbfzLaWdF9uBEou4httuyNXuSTgnpLuxI1CyUX8pG13\n5KrlnFsNHCrpftwolFzET3WAr/J93u3FROQGo+QiIiK+U3IRP2nbHREBlFzEX9p2R0QAJRfxkXPu\nNJC37U4m8Ja23ZGrhZnNA9YBt5nZbjN7pKT7dD3T9i8iIuI73bmIiIjvlFxERMR3Si4iIuI7JRcR\nEfGdkouIiPhOyUXER2b2QzNLNrP/Z2ZpZrbIzBqep2xVMxte3H0UKQ5KLiI+MTMD3gVWOud+7Jxr\nDvwaqHmeU6oCRZ5czOy6fJy5XN2UXET8cydwyjn357yAc24z8ImZLTezTWa2xczydoqeBPzYzNLN\n7EUAM/uVmW00swwzG59Xj5n91ntOzhozm2dmT3rxaDNb75V/18xCvfhKM/uDmaUCY8xsl5mV9o5V\nzv9ZpCjov2hE/NMESCsgfgLo6pw7amZhwHozex94BmjinIsGMLNEoAGBRxcY8L6ZtQdygG5AFFAa\n2JSvnVnAKOfcKjN7FhgLjPaO/cA5F+fVHQHcDywgsC3PX51zp3y8dpGzKLmIFD0DnvcSxRkCjyEo\naKgs0Xt94n2uSCDZVALec86dAE6Y2QcAZlYFqOqcW+WVnwm8na++N/O9fx14ikByGQQM8eG6RM5L\nyUXEP9uA7gXE+wDhQHPn3CkzywLKFlDOgN8556aeFTQbXUDZwvh33hvn3FozizCzBCDEOadH/UqR\n0pyLiH9WAGXMbGhewMyaATcD+73Ecqf3GeAYgbuSPEuAwWZW0Tu3jpnVANYCD5hZWe/YfwE4544A\n35jZHd75/YBVnN8sYC4w4wqvU+SidOci4hPnnDOzrsAfzOxpAnMtWcA44BUz2wKkAp965bPNbK2Z\nbQUWO+d+ZWaRwLrAwjOOA32dcxu9OZoMYB+wBTjiNTsA+LOZlQe+IDDkdT5zgAnAPB8vW6RA2hVZ\n5BpgZhWdc8e9JLIaGOqc23SJdXQHujjn+hVJJ0Xy0Z2LyLVhmpndTmCuZuZlJJZXgXuB+4qicyLn\n0p2LiIj4ThP6IiLiOyUXERHxnZKLiIj4TslFRER8p+QiIiK++//nUtXrSIb2WwAAAABJRU5ErkJg\ngg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WER8kSZJCgGo",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#Visualize crimes in terms of non-narcotic vs narcotic, across district\n",
        "sns.countplot(x=\"Category\",hue=\"PdDistrict\",data=log_crime)\n",
        "print(\"Southern has the most of non-narcotic crimes, and Tenderloin has the most of narcotic crimes\")"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "w4R3Bcw29LjJ",
        "colab_type": "code",
        "outputId": "7c417984-d41d-4a3b-bc97-a7f54ed4fce6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 186
        }
      },
      "source": [
        "log_crime.head(3)#shows the transformed dataframe"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>IncidntNum</th>\n",
              "      <th>Category</th>\n",
              "      <th>Descript</th>\n",
              "      <th>DayOfWeek</th>\n",
              "      <th>Date</th>\n",
              "      <th>Time</th>\n",
              "      <th>PdDistrict</th>\n",
              "      <th>Resolution</th>\n",
              "      <th>Address</th>\n",
              "      <th>X</th>\n",
              "      <th>Y</th>\n",
              "      <th>Location</th>\n",
              "      <th>PdId</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>91092616</td>\n",
              "      <td>0</td>\n",
              "      <td>YOUTH COURT</td>\n",
              "      <td>Thursday</td>\n",
              "      <td>10/15/2009</td>\n",
              "      <td>08:00</td>\n",
              "      <td>NORTHERN</td>\n",
              "      <td>NONE</td>\n",
              "      <td>2200 Block of PACIFIC AV</td>\n",
              "      <td>-122.432295</td>\n",
              "      <td>37.793715</td>\n",
              "      <td>(37.7937145536167, -122.43229520935)</td>\n",
              "      <td>9109261629130</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>100480883</td>\n",
              "      <td>0</td>\n",
              "      <td>YOUTH COURT</td>\n",
              "      <td>Friday</td>\n",
              "      <td>05/21/2010</td>\n",
              "      <td>13:00</td>\n",
              "      <td>INGLESIDE</td>\n",
              "      <td>NONE</td>\n",
              "      <td>1000 Block of CAYUGA AV</td>\n",
              "      <td>-122.440007</td>\n",
              "      <td>37.721805</td>\n",
              "      <td>(37.7218048835547, -122.440006611531)</td>\n",
              "      <td>10048088329130</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>80497251</td>\n",
              "      <td>0</td>\n",
              "      <td>YOUTH COURT</td>\n",
              "      <td>Monday</td>\n",
              "      <td>05/12/2008</td>\n",
              "      <td>13:30</td>\n",
              "      <td>MISSION</td>\n",
              "      <td>ARREST, BOOKED</td>\n",
              "      <td>3700 Block of 18TH ST</td>\n",
              "      <td>-122.427242</td>\n",
              "      <td>37.761412</td>\n",
              "      <td>(37.7614118083919, -122.427242380192)</td>\n",
              "      <td>8049725129130</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   IncidntNum Category  ...                               Location            PdId\n",
              "0    91092616        0  ...   (37.7937145536167, -122.43229520935)   9109261629130\n",
              "1   100480883        0  ...  (37.7218048835547, -122.440006611531)  10048088329130\n",
              "2    80497251        0  ...  (37.7614118083919, -122.427242380192)   8049725129130\n",
              "\n",
              "[3 rows x 13 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eqM1maeN9Lm7",
        "colab_type": "code",
        "outputId": "dfd906d2-e05f-4542-d0b1-6e4d71048c5c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 67
        }
      },
      "source": [
        "#count number of 1s vs 0s\n",
        "print(\"There are \"+str(log_crime[\"Category\"].value_counts()[0])+ \" non-narcotic crimes and \"+ str(log_crime[\"Category\"].value_counts()[1]) +\" narcotic ones\")"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0    2095396\n",
              "1     119628\n",
              "Name: Category, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "o5R8jro19Lw8",
        "colab_type": "code",
        "outputId": "6837be85-26b7-4c3a-89f2-297745120e3f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 136
        }
      },
      "source": [
        "#Drop columns that aren't very relavant\n",
        "#Drop nan \n",
        "#create dummy variable representing district so later can trace back\n",
        "log_crime.drop([\"IncidntNum\",\"Descript\",\"DayOfWeek\",\"Date\",\"Time\",\"Resolution\",\"Location\",\"PdId\",\"Address\"],axis=1,inplace=True)\n",
        "log_crime.dropna(inplace=True)\n",
        "neighborhood=pd.get_dummies(log_crime[\"PdDistrict\"])\n",
        "log_crime=pd.concat([log_crime,neighborhood],axis=1)\n",
        "log_crime.drop(\"PdDistrict\",axis=1,inplace=True)\n",
        "log_crime.head(3)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Category</th>\n",
              "      <th>X</th>\n",
              "      <th>Y</th>\n",
              "      <th>BAYVIEW</th>\n",
              "      <th>CENTRAL</th>\n",
              "      <th>INGLESIDE</th>\n",
              "      <th>MISSION</th>\n",
              "      <th>NORTHERN</th>\n",
              "      <th>PARK</th>\n",
              "      <th>RICHMOND</th>\n",
              "      <th>SOUTHERN</th>\n",
              "      <th>TARAVAL</th>\n",
              "      <th>TENDERLOIN</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0</td>\n",
              "      <td>-122.432295</td>\n",
              "      <td>37.793715</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0</td>\n",
              "      <td>-122.440007</td>\n",
              "      <td>37.721805</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0</td>\n",
              "      <td>-122.427242</td>\n",
              "      <td>37.761412</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  Category           X          Y  ...  SOUTHERN  TARAVAL  TENDERLOIN\n",
              "0        0 -122.432295  37.793715  ...         0        0           0\n",
              "1        0 -122.440007  37.721805  ...         0        0           0\n",
              "2        0 -122.427242  37.761412  ...         0        0           0\n",
              "\n",
              "[3 rows x 13 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1p51027s9RzM",
        "colab_type": "code",
        "outputId": "122adcc4-c2cc-4950-fb83-d18353509bb2",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 296
        }
      },
      "source": [
        "#very imbalanced distribution, minority class is drug related crime. Majority is non-drug crime.\n",
        "sns.countplot(x=\"Category\",data=log_crime) "
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7efc6a736e80>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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d+EjbONJzSJL6meuTC7YkmQB+qZVeVlX3zqHfhbMcOmuGtgVcMss4m4BNM9QngNNnqO87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\ngg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "th--wnf89R2t",
        "colab_type": "code",
        "outputId": "137e6ebd-f955-490c-a795-1e0438179508",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 154
        }
      },
      "source": [
        "#The initial trial for logistic regreeion\n",
        "x=log_crime.drop(\"Category\",axis=1)\n",
        "y=log_crime[\"Category\"]\n",
        "x_train,x_test,y_train,y_test = train_test_split(x,y,test_size=0.3)\n",
        "logreg=LogisticRegression()\n",
        "y_train=y_train.astype('int')\n",
        "logreg.fit(x_train,y_train)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/sklearn/linear_model/logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
            "  FutureWarning)\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "LogisticRegression(C=1e+30, class_weight=None, dual=False, fit_intercept=True,\n",
              "                   intercept_scaling=1, l1_ratio=None, max_iter=100,\n",
              "                   multi_class='warn', n_jobs=None, penalty='l2',\n",
              "                   random_state=None, solver='warn', tol=0.0001, verbose=0,\n",
              "                   warm_start=False)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZZ5f1Qac9R6W",
        "colab_type": "code",
        "outputId": "e758d309-c09b-4b1a-96d4-898041ca6cfa",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 50
        }
      },
      "source": [
        "#calculating accuracy score\n",
        "prediction=logreg.predict(x_test)\n",
        "y_test=y_test.astype('int')\n",
        "model_score = accuracy_score(y_test,prediction)\n",
        "model_score  #too good to be true"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[0 0 0 ... 0 0 0]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.9464324679800212"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "D21slS0VCzFP",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#print the probability of whether a crime is narcotic related or not, given geo data\n",
        "proob=logreg.predict_proba(x_test)\n",
        "print(proob)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "P_1AEjhZ9R_2",
        "colab_type": "code",
        "outputId": "adf380a5-b05a-4fe0-a04d-cb15d5a2e006",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 521
        }
      },
      "source": [
        "#I made a graph for the first trial of logistic regression\n",
        "#a 0.68 AUC means the model is 0.68 capable of distinguishing 1s or 0s, not bad but not so good\n",
        "#still better than 0.5\n",
        "proob=proob[:,1]\n",
        "fpr,tpr,thresholds = roc_curve(y_test,proob)\n",
        "score_log=roc_auc_score(y_test,proob)\n",
        "plt.figure(figsize=(10,8))                          \n",
        "plt.title(\"AUROC\")                                 \n",
        "plt.xlabel(\"FPR\",fontsize=\"xx-large\")              \n",
        "plt.ylabel(\"TPR\",fontsize=\"xx-large\")\n",
        "plt.plot(fpr,tpr,color=\"blue\",label=\"Logistic regression\")    \n",
        "plt.plot([],[],\"\",label=\"AUC of LR model=\"+str(score_log))        \n",
        "plt.legend(loc=\"best\",fontsize=\"large\")                       \n",
        "plt.show()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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ZM2faoUOHLD4+3v7zn/9Yv3790n3fxo0bW48ePSw+Pt5+/fVXO/vss1MGXp9s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\n0iRJkhro/wDfeUPRbjjKbwAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 720x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2w9XrMuuiMhv",
        "colab_type": "text"
      },
      "source": [
        "Oversampling to get a more balanced split"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bE8YE3OPiLco",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#This part starts oversampling, and does transformation first\n",
        "os_data=d_crime.copy()  #copy d_crime into os_data, this dataframe holds data for oversampling\n",
        "memo=os_data['Category']=='DRUG/NARCOTIC'    \n",
        "os_data[\"Category\"].where(memo,other=np.zeros(shape=len(os_data),dtype=int),inplace=True)\n",
        "os_data[\"Category\"].where(~memo,other=np.ones(shape=len(os_data),dtype=int),inplace=True)\n",
        "os_data.drop([\"IncidntNum\",\"Descript\",\"DayOfWeek\",\"Date\",\"Time\",\"Resolution\",\"Location\",\"PdId\",\"Address\"],axis=1,inplace=True)\n",
        "os_data.dropna(inplace=True)\n",
        "neighborhood=pd.get_dummies(os_data[\"PdDistrict\"])\n",
        "os_data=pd.concat([os_data,neighborhood],axis=1) \n",
        "os_data.drop(\"PdDistrict\",axis=1,inplace=True) "
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "s0npWV39iTXk",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from imblearn.over_sampling import SMOTE #import SMOTE from imblearn\n",
        "#Reference: https://imbalanced-learn.readthedocs.io/en/stable/generated/imblearn.over_sampling.SMOTE.html\n",
        "os = SMOTE()\n",
        "x=os_data.drop(\"Category\",axis=1)\n",
        "y=os_data[\"Category\"]\n",
        "x_train,x_test,y_train,y_test = train_test_split(x,y,test_size=0.3) #split first before oversampling\n",
        "columns=x_train.columns\n",
        "os_x,os_y = os.fit_sample(x_train,y_train)\n",
        "os_x = pd.DataFrame(data=os_x,columns=columns)\n",
        "os_y = pd.DataFrame(data=os_y,columns=['y'])\n",
        "print(\"number of non-drug crime is\",len(os_y[os_y[\"y\"]==0]))\n",
        "print(\"number of drug crime is\",len(os_y[os_y[\"y\"]==1]))\n",
        "print(\"propotion of of non-drug crime is \",len(os_y[os_y[\"y\"]==0])/len(os_x))\n",
        "sns.countplot(x=\"y\",data=os_y)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-jAJNSmODBd6",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#Now i have a more balanced split, run logistic regression again\n",
        "logistic_model = LogisticRegression().fit(os_x,os_y.astype(int))\n",
        "predictt=logistic_model.predict(x_test)\n",
        "new_result = accuracy_score (y_test.astype(int),predictt)\n",
        "print(new_result)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sAtj9e7YDD3f",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#Print the new likelihood of whether a crime is narcotic related or not given geo data\n",
        "new_prob=logreg.predict_proba(x_test)\n",
        "output_table = new_prob\n",
        "print(new_prob)\n",
        "new_prob=new_prob[:,1]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1WB6r5fuDENi",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#Graph the new oversampled LR model\n",
        "fpr,tpr,thresholds = roc_curve(y_test.astype(\"int\"),new_prob)\n",
        "score_log=roc_auc_score(y_test.astype(\"int\"),new_prob)\n",
        "plt.figure(figsize=(10,8))                          \n",
        "plt.title(\"AUROC\")                                 \n",
        "plt.xlabel(\"FPR\",fontsize=\"xx-large\")              \n",
        "plt.ylabel(\"TPR\",fontsize=\"xx-large\")\n",
        "plt.plot(fpr,tpr,color=\"blue\",label=\"Logistic regression\")    \n",
        "plt.plot([],[],\"\",label=\"AUC of LR model=\"+str(score_log))        \n",
        "plt.legend(loc=\"best\",fontsize=\"large\")                       \n",
        "plt.show()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "H6dxrbo5DH2I",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#Trying to tune the class_weight parameter, see if it can give a better result\n",
        "logistic_model = LogisticRegression(class_weight='balanced').fit(x_train,y_train.astype(int))\n",
        "predictt=logistic_model.predict(x_test)\n",
        "new_result2 = accuracy_score (y_test.astype(int),predictt)\n",
        "new_result2"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9Jsm_0HXDH6b",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#Create an output table, that stores the likelihood\n",
        "output_table = pd.DataFrame(output_table, columns=[\"Non-drug_related\",\"drug_related\"],index=x_test.index)#set the same index so can trace back"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UzNdf3YjDH9i",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "output_table"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "M5qaoGIXDMyM",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "print(\"the highest likelihood of a narcotic crime given geo data is \" + str(output_table.max()[1]))"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YukcaiIdDM11",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#So get the index of rows that have a probability > 0.1 \n",
        "significant_index = output_table.query(\"drug_related > 0.10\")\n",
        "significant_index"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PMVs713VDM4d",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#make a list \n",
        "significant_index = significant_index.index.to_list()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "09yVJlQrDM7F",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "significant_index"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Xbg0NLhYDM9u",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#Trace back to the table, so what geo location has higher likelihood of narcotic crimes than others\n",
        "output_df = x_test.loc[significant_index]\n",
        "output_df"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "StP3yIlnDb9J",
        "colab_type": "text"
      },
      "source": [
        "So based on the analysis and prediction, Tenderloin and its X,Y geo cordinates are most likely to have narcotic crimes happening. If we can build safe injection site and allocate more police resources in that area, we can eliminate narcotic drug distribution and thus help solve the opioid crisis "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "t7MjXjHaELk7",
        "colab_type": "text"
      },
      "source": [
        "Reference lists:\n",
        "1. https://stackoverflow.com/questions/20892799/using-pandas-calculate-cram%C3%A9rs-coefficient-matrix\n",
        "\n",
        "2.https://imbalanced-learn.readthedocs.io/en/stable/generated/imblearn.over_sampling.SMOTE.html"
      ]
    }
  ]
}