binary-classification.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0cYxzysfferp"
      },
      "source": [
        "## Data understanding phase"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xAUltQuzfzsJ"
      },
      "source": [
        "### Collect initial data"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "91QXgtrkf2QC"
      },
      "source": [
        "Boilerplate code: importing modules and mounting Google Drive"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "TpcGy4JIfVlM",
        "outputId": "a6f3b6dc-aaf6-4766-99e5-114ac10fb335"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ],
      "source": [
        "import pandas as pd\n",
        "from sklearn import preprocessing, svm\n",
        "import numpy as np\n",
        "from datetime import datetime\n",
        "from google.colab import drive\n",
        "from sklearn.model_selection import train_test_split, KFold, cross_val_score, cross_validate, GridSearchCV\n",
        "from sklearn.utils import resample\n",
        "from sklearn.ensemble import RandomForestClassifier, AdaBoostClassifier\n",
        "from sklearn.tree import DecisionTreeClassifier\n",
        "from sklearn.naive_bayes import GaussianNB\n",
        "from imblearn.over_sampling import SMOTE\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "from sklearn.metrics import roc_curve, auc, confusion_matrix, classification_report\n",
        "\n",
        "# Mount Google Drive\n",
        "drive.mount('/content/drive')\n",
        "pd.set_option('display.max_columns', 50)\n",
        "pd.set_option('display.float_format', lambda x: '%.3f' % x)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "vyM9I8zigA8N"
      },
      "source": [
        "Load *COMPAS* dataset"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 722
        },
        "id": "JNatU-y_gG4B",
        "outputId": "c4f67c55-5cdd-4e15-a565-9f0524139a6d"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   id                name      first         last compas_screening_date  \\\n",
              "0   1    miguel hernandez     miguel    hernandez            2013-08-14   \n",
              "1   2        michael ryan    michael         ryan            2014-12-31   \n",
              "2   3         kevon dixon      kevon        dixon            2013-01-27   \n",
              "3   4            ed philo         ed        philo            2013-04-14   \n",
              "4   5         marcu brown      marcu        brown            2013-01-13   \n",
              "5   6  bouthy pierrelouis     bouthy  pierrelouis            2013-03-26   \n",
              "6   7        marsha miles     marsha        miles            2013-11-30   \n",
              "7   8       edward riddle     edward       riddle            2014-02-19   \n",
              "8   9      steven stewart     steven      stewart            2013-08-30   \n",
              "9  10    elizabeth thieme  elizabeth       thieme            2014-03-16   \n",
              "\n",
              "      sex         dob  age          age_cat              race  juv_fel_count  \\\n",
              "0    Male  1947-04-18   69  Greater than 45             Other              0   \n",
              "1    Male  1985-02-06   31          25 - 45         Caucasian              0   \n",
              "2    Male  1982-01-22   34          25 - 45  African-American              0   \n",
              "3    Male  1991-05-14   24     Less than 25  African-American              0   \n",
              "4    Male  1993-01-21   23     Less than 25  African-American              0   \n",
              "5    Male  1973-01-22   43          25 - 45             Other              0   \n",
              "6    Male  1971-08-22   44          25 - 45             Other              0   \n",
              "7    Male  1974-07-23   41          25 - 45         Caucasian              0   \n",
              "8    Male  1973-02-25   43          25 - 45             Other              0   \n",
              "9  Female  1976-06-03   39          25 - 45         Caucasian              0   \n",
              "\n",
              "   decile_score  juv_misd_count  juv_other_count  priors_count  \\\n",
              "0             1               0                0             0   \n",
              "1             5               0                0             0   \n",
              "2             3               0                0             0   \n",
              "3             4               0                1             4   \n",
              "4             8               1                0             1   \n",
              "5             1               0                0             2   \n",
              "6             1               0                0             0   \n",
              "7             6               0                0            14   \n",
              "8             4               0                0             3   \n",
              "9             1               0                0             0   \n",
              "\n",
              "   days_b_screening_arrest            c_jail_in           c_jail_out  \\\n",
              "0                   -1.000  2013-08-13 06:03:42  2013-08-14 05:41:20   \n",
              "1                      NaN                  NaN                  NaN   \n",
              "2                   -1.000  2013-01-26 03:45:27  2013-02-05 05:36:53   \n",
              "3                   -1.000  2013-04-13 04:58:34  2013-04-14 07:02:04   \n",
              "4                      NaN                  NaN                  NaN   \n",
              "5                      NaN                  NaN                  NaN   \n",
              "6                    0.000  2013-11-30 04:50:18  2013-12-01 12:28:56   \n",
              "7                   -1.000  2014-02-18 05:08:24  2014-02-24 12:18:30   \n",
              "8                   -1.000  2013-08-29 08:55:23  2013-08-30 08:42:13   \n",
              "9                   -1.000  2014-03-15 05:35:34  2014-03-18 04:28:46   \n",
              "\n",
              "   c_case_number c_offense_date c_arrest_date  c_days_from_compas  \\\n",
              "0  13011352CF10A     2013-08-13           NaN               1.000   \n",
              "1            NaN            NaN           NaN                 NaN   \n",
              "2  13001275CF10A     2013-01-26           NaN               1.000   \n",
              "3  13005330CF10A     2013-04-13           NaN               1.000   \n",
              "4  13000570CF10A     2013-01-12           NaN               1.000   \n",
              "5  12014130CF10A            NaN    2013-01-09              76.000   \n",
              "6  13022355MM10A     2013-11-30           NaN               0.000   \n",
              "7  14002304CF10A     2014-02-18           NaN               1.000   \n",
              "8  13012216CF10A            NaN    2013-08-29               1.000   \n",
              "9  14004524MM10A     2014-03-15           NaN               1.000   \n",
              "\n",
              "  c_charge_degree                   c_charge_desc  is_recid  num_r_cases  \\\n",
              "0               F    Aggravated Assault w/Firearm         0          NaN   \n",
              "1               O                             NaN        -1          NaN   \n",
              "2               F  Felony Battery w/Prior Convict         1          NaN   \n",
              "3               F           Possession of Cocaine         1          NaN   \n",
              "4               F          Possession of Cannabis         0          NaN   \n",
              "5               F           arrest case no charge         0          NaN   \n",
              "6               M                         Battery         0          NaN   \n",
              "7               F       Possession Burglary Tools         1          NaN   \n",
              "8               F           arrest case no charge         0          NaN   \n",
              "9               M                         Battery         0          NaN   \n",
              "\n",
              "   r_case_number r_charge_degree  r_days_from_arrest r_offense_date  \\\n",
              "0            NaN               O                 NaN            NaN   \n",
              "1            NaN               O                 NaN            NaN   \n",
              "2  13009779CF10A               F                 NaN     2013-07-05   \n",
              "3  13011511MM10A               M               0.000     2013-06-16   \n",
              "4            NaN               O                 NaN            NaN   \n",
              "5            NaN               O                 NaN            NaN   \n",
              "6            NaN               O                 NaN            NaN   \n",
              "7  14004485CF10A               F               0.000     2014-03-31   \n",
              "8            NaN               O                 NaN            NaN   \n",
              "9            NaN               O                 NaN            NaN   \n",
              "\n",
              "                    r_charge_desc   r_jail_in  r_jail_out  is_violent_recid  \\\n",
              "0                             NaN         NaN         NaN                 0   \n",
              "1                             NaN         NaN         NaN                 0   \n",
              "2     Felony Battery (Dom Strang)         NaN         NaN                 1   \n",
              "3     Driving Under The Influence  2013-06-16  2013-06-16                 0   \n",
              "4                             NaN         NaN         NaN                 0   \n",
              "5                             NaN         NaN         NaN                 0   \n",
              "6                             NaN         NaN         NaN                 0   \n",
              "7  Poss of Firearm by Convic Felo  2014-03-31  2014-04-18                 0   \n",
              "8                             NaN         NaN         NaN                 0   \n",
              "9                             NaN         NaN         NaN                 0   \n",
              "\n",
              "   num_vr_cases vr_case_number vr_charge_degree vr_offense_date  \\\n",
              "0           NaN            NaN              NaN             NaN   \n",
              "1           NaN            NaN              NaN             NaN   \n",
              "2           NaN  13009779CF10A             (F3)      2013-07-05   \n",
              "3           NaN            NaN              NaN             NaN   \n",
              "4           NaN            NaN              NaN             NaN   \n",
              "5           NaN            NaN              NaN             NaN   \n",
              "6           NaN            NaN              NaN             NaN   \n",
              "7           NaN            NaN              NaN             NaN   \n",
              "8           NaN            NaN              NaN             NaN   \n",
              "9           NaN            NaN              NaN             NaN   \n",
              "\n",
              "                vr_charge_desc v_type_of_assessment  v_decile_score  \\\n",
              "0                          NaN     Risk of Violence               1   \n",
              "1                          NaN     Risk of Violence               2   \n",
              "2  Felony Battery (Dom Strang)     Risk of Violence               1   \n",
              "3                          NaN     Risk of Violence               3   \n",
              "4                          NaN     Risk of Violence               6   \n",
              "5                          NaN     Risk of Violence               1   \n",
              "6                          NaN     Risk of Violence               1   \n",
              "7                          NaN     Risk of Violence               2   \n",
              "8                          NaN     Risk of Violence               3   \n",
              "9                          NaN     Risk of Violence               1   \n",
              "\n",
              "  v_score_text v_screening_date  type_of_assessment  decile_score.1  \\\n",
              "0          Low       2013-08-14  Risk of Recidivism               1   \n",
              "1          Low       2014-12-31  Risk of Recidivism               5   \n",
              "2          Low       2013-01-27  Risk of Recidivism               3   \n",
              "3          Low       2013-04-14  Risk of Recidivism               4   \n",
              "4       Medium       2013-01-13  Risk of Recidivism               8   \n",
              "5          Low       2013-03-26  Risk of Recidivism               1   \n",
              "6          Low       2013-11-30  Risk of Recidivism               1   \n",
              "7          Low       2014-02-19  Risk of Recidivism               6   \n",
              "8          Low       2013-08-30  Risk of Recidivism               4   \n",
              "9          Low       2014-03-16  Risk of Recidivism               1   \n",
              "\n",
              "  score_text screening_date  \n",
              "0        Low     2013-08-14  \n",
              "1     Medium     2014-12-31  \n",
              "2        Low     2013-01-27  \n",
              "3        Low     2013-04-14  \n",
              "4       High     2013-01-13  \n",
              "5        Low     2013-03-26  \n",
              "6        Low     2013-11-30  \n",
              "7     Medium     2014-02-19  \n",
              "8        Low     2013-08-30  \n",
              "9        Low     2014-03-16  "
            ],
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>name</th>\n",
              "      <th>first</th>\n",
              "      <th>last</th>\n",
              "      <th>compas_screening_date</th>\n",
              "      <th>sex</th>\n",
              "      <th>dob</th>\n",
              "      <th>age</th>\n",
              "      <th>age_cat</th>\n",
              "      <th>race</th>\n",
              "      <th>juv_fel_count</th>\n",
              "      <th>decile_score</th>\n",
              "      <th>juv_misd_count</th>\n",
              "      <th>juv_other_count</th>\n",
              "      <th>priors_count</th>\n",
              "      <th>days_b_screening_arrest</th>\n",
              "      <th>c_jail_in</th>\n",
              "      <th>c_jail_out</th>\n",
              "      <th>c_case_number</th>\n",
              "      <th>c_offense_date</th>\n",
              "      <th>c_arrest_date</th>\n",
              "      <th>c_days_from_compas</th>\n",
              "      <th>c_charge_degree</th>\n",
              "      <th>c_charge_desc</th>\n",
              "      <th>is_recid</th>\n",
              "      <th>num_r_cases</th>\n",
              "      <th>r_case_number</th>\n",
              "      <th>r_charge_degree</th>\n",
              "      <th>r_days_from_arrest</th>\n",
              "      <th>r_offense_date</th>\n",
              "      <th>r_charge_desc</th>\n",
              "      <th>r_jail_in</th>\n",
              "      <th>r_jail_out</th>\n",
              "      <th>is_violent_recid</th>\n",
              "      <th>num_vr_cases</th>\n",
              "      <th>vr_case_number</th>\n",
              "      <th>vr_charge_degree</th>\n",
              "      <th>vr_offense_date</th>\n",
              "      <th>vr_charge_desc</th>\n",
              "      <th>v_type_of_assessment</th>\n",
              "      <th>v_decile_score</th>\n",
              "      <th>v_score_text</th>\n",
              "      <th>v_screening_date</th>\n",
              "      <th>type_of_assessment</th>\n",
              "      <th>decile_score.1</th>\n",
              "      <th>score_text</th>\n",
              "      <th>screening_date</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>miguel hernandez</td>\n",
              "      <td>miguel</td>\n",
              "      <td>hernandez</td>\n",
              "      <td>2013-08-14</td>\n",
              "      <td>Male</td>\n",
              "      <td>1947-04-18</td>\n",
              "      <td>69</td>\n",
              "      <td>Greater than 45</td>\n",
              "      <td>Other</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>-1.000</td>\n",
              "      <td>2013-08-13 06:03:42</td>\n",
              "      <td>2013-08-14 05:41:20</td>\n",
              "      <td>13011352CF10A</td>\n",
              "      <td>2013-08-13</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.000</td>\n",
              "      <td>F</td>\n",
              "      <td>Aggravated Assault w/Firearm</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>O</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Risk of Violence</td>\n",
              "      <td>1</td>\n",
              "      <td>Low</td>\n",
              "      <td>2013-08-14</td>\n",
              "      <td>Risk of Recidivism</td>\n",
              "      <td>1</td>\n",
              "      <td>Low</td>\n",
              "      <td>2013-08-14</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>michael ryan</td>\n",
              "      <td>michael</td>\n",
              "      <td>ryan</td>\n",
              "      <td>2014-12-31</td>\n",
              "      <td>Male</td>\n",
              "      <td>1985-02-06</td>\n",
              "      <td>31</td>\n",
              "      <td>25 - 45</td>\n",
              "      <td>Caucasian</td>\n",
              "      <td>0</td>\n",
              "      <td>5</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>O</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-1</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>O</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Risk of Violence</td>\n",
              "      <td>2</td>\n",
              "      <td>Low</td>\n",
              "      <td>2014-12-31</td>\n",
              "      <td>Risk of Recidivism</td>\n",
              "      <td>5</td>\n",
              "      <td>Medium</td>\n",
              "      <td>2014-12-31</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>kevon dixon</td>\n",
              "      <td>kevon</td>\n",
              "      <td>dixon</td>\n",
              "      <td>2013-01-27</td>\n",
              "      <td>Male</td>\n",
              "      <td>1982-01-22</td>\n",
              "      <td>34</td>\n",
              "      <td>25 - 45</td>\n",
              "      <td>African-American</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>-1.000</td>\n",
              "      <td>2013-01-26 03:45:27</td>\n",
              "      <td>2013-02-05 05:36:53</td>\n",
              "      <td>13001275CF10A</td>\n",
              "      <td>2013-01-26</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.000</td>\n",
              "      <td>F</td>\n",
              "      <td>Felony Battery w/Prior Convict</td>\n",
              "      <td>1</td>\n",
              "      <td>NaN</td>\n",
              "      <td>13009779CF10A</td>\n",
              "      <td>F</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2013-07-05</td>\n",
              "      <td>Felony Battery (Dom Strang)</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>NaN</td>\n",
              "      <td>13009779CF10A</td>\n",
              "      <td>(F3)</td>\n",
              "      <td>2013-07-05</td>\n",
              "      <td>Felony Battery (Dom Strang)</td>\n",
              "      <td>Risk of Violence</td>\n",
              "      <td>1</td>\n",
              "      <td>Low</td>\n",
              "      <td>2013-01-27</td>\n",
              "      <td>Risk of Recidivism</td>\n",
              "      <td>3</td>\n",
              "      <td>Low</td>\n",
              "      <td>2013-01-27</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>ed philo</td>\n",
              "      <td>ed</td>\n",
              "      <td>philo</td>\n",
              "      <td>2013-04-14</td>\n",
              "      <td>Male</td>\n",
              "      <td>1991-05-14</td>\n",
              "      <td>24</td>\n",
              "      <td>Less than 25</td>\n",
              "      <td>African-American</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>-1.000</td>\n",
              "      <td>2013-04-13 04:58:34</td>\n",
              "      <td>2013-04-14 07:02:04</td>\n",
              "      <td>13005330CF10A</td>\n",
              "      <td>2013-04-13</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.000</td>\n",
              "      <td>F</td>\n",
              "      <td>Possession of Cocaine</td>\n",
              "      <td>1</td>\n",
              "      <td>NaN</td>\n",
              "      <td>13011511MM10A</td>\n",
              "      <td>M</td>\n",
              "      <td>0.000</td>\n",
              "      <td>2013-06-16</td>\n",
              "      <td>Driving Under The Influence</td>\n",
              "      <td>2013-06-16</td>\n",
              "      <td>2013-06-16</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Risk of Violence</td>\n",
              "      <td>3</td>\n",
              "      <td>Low</td>\n",
              "      <td>2013-04-14</td>\n",
              "      <td>Risk of Recidivism</td>\n",
              "      <td>4</td>\n",
              "      <td>Low</td>\n",
              "      <td>2013-04-14</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>marcu brown</td>\n",
              "      <td>marcu</td>\n",
              "      <td>brown</td>\n",
              "      <td>2013-01-13</td>\n",
              "      <td>Male</td>\n",
              "      <td>1993-01-21</td>\n",
              "      <td>23</td>\n",
              "      <td>Less than 25</td>\n",
              "      <td>African-American</td>\n",
              "      <td>0</td>\n",
              "      <td>8</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>13000570CF10A</td>\n",
              "      <td>2013-01-12</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.000</td>\n",
              "      <td>F</td>\n",
              "      <td>Possession of Cannabis</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>O</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Risk of Violence</td>\n",
              "      <td>6</td>\n",
              "      <td>Medium</td>\n",
              "      <td>2013-01-13</td>\n",
              "      <td>Risk of Recidivism</td>\n",
              "      <td>8</td>\n",
              "      <td>High</td>\n",
              "      <td>2013-01-13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>6</td>\n",
              "      <td>bouthy pierrelouis</td>\n",
              "      <td>bouthy</td>\n",
              "      <td>pierrelouis</td>\n",
              "      <td>2013-03-26</td>\n",
              "      <td>Male</td>\n",
              "      <td>1973-01-22</td>\n",
              "      <td>43</td>\n",
              "      <td>25 - 45</td>\n",
              "      <td>Other</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>12014130CF10A</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2013-01-09</td>\n",
              "      <td>76.000</td>\n",
              "      <td>F</td>\n",
              "      <td>arrest case no charge</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>O</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Risk of Violence</td>\n",
              "      <td>1</td>\n",
              "      <td>Low</td>\n",
              "      <td>2013-03-26</td>\n",
              "      <td>Risk of Recidivism</td>\n",
              "      <td>1</td>\n",
              "      <td>Low</td>\n",
              "      <td>2013-03-26</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>7</td>\n",
              "      <td>marsha miles</td>\n",
              "      <td>marsha</td>\n",
              "      <td>miles</td>\n",
              "      <td>2013-11-30</td>\n",
              "      <td>Male</td>\n",
              "      <td>1971-08-22</td>\n",
              "      <td>44</td>\n",
              "      <td>25 - 45</td>\n",
              "      <td>Other</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.000</td>\n",
              "      <td>2013-11-30 04:50:18</td>\n",
              "      <td>2013-12-01 12:28:56</td>\n",
              "      <td>13022355MM10A</td>\n",
              "      <td>2013-11-30</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000</td>\n",
              "      <td>M</td>\n",
              "      <td>Battery</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>O</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Risk of Violence</td>\n",
              "      <td>1</td>\n",
              "      <td>Low</td>\n",
              "      <td>2013-11-30</td>\n",
              "      <td>Risk of Recidivism</td>\n",
              "      <td>1</td>\n",
              "      <td>Low</td>\n",
              "      <td>2013-11-30</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>8</td>\n",
              "      <td>edward riddle</td>\n",
              "      <td>edward</td>\n",
              "      <td>riddle</td>\n",
              "      <td>2014-02-19</td>\n",
              "      <td>Male</td>\n",
              "      <td>1974-07-23</td>\n",
              "      <td>41</td>\n",
              "      <td>25 - 45</td>\n",
              "      <td>Caucasian</td>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>14</td>\n",
              "      <td>-1.000</td>\n",
              "      <td>2014-02-18 05:08:24</td>\n",
              "      <td>2014-02-24 12:18:30</td>\n",
              "      <td>14002304CF10A</td>\n",
              "      <td>2014-02-18</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.000</td>\n",
              "      <td>F</td>\n",
              "      <td>Possession Burglary Tools</td>\n",
              "      <td>1</td>\n",
              "      <td>NaN</td>\n",
              "      <td>14004485CF10A</td>\n",
              "      <td>F</td>\n",
              "      <td>0.000</td>\n",
              "      <td>2014-03-31</td>\n",
              "      <td>Poss of Firearm by Convic Felo</td>\n",
              "      <td>2014-03-31</td>\n",
              "      <td>2014-04-18</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Risk of Violence</td>\n",
              "      <td>2</td>\n",
              "      <td>Low</td>\n",
              "      <td>2014-02-19</td>\n",
              "      <td>Risk of Recidivism</td>\n",
              "      <td>6</td>\n",
              "      <td>Medium</td>\n",
              "      <td>2014-02-19</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>9</td>\n",
              "      <td>steven stewart</td>\n",
              "      <td>steven</td>\n",
              "      <td>stewart</td>\n",
              "      <td>2013-08-30</td>\n",
              "      <td>Male</td>\n",
              "      <td>1973-02-25</td>\n",
              "      <td>43</td>\n",
              "      <td>25 - 45</td>\n",
              "      <td>Other</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>-1.000</td>\n",
              "      <td>2013-08-29 08:55:23</td>\n",
              "      <td>2013-08-30 08:42:13</td>\n",
              "      <td>13012216CF10A</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2013-08-29</td>\n",
              "      <td>1.000</td>\n",
              "      <td>F</td>\n",
              "      <td>arrest case no charge</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>O</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Risk of Violence</td>\n",
              "      <td>3</td>\n",
              "      <td>Low</td>\n",
              "      <td>2013-08-30</td>\n",
              "      <td>Risk of Recidivism</td>\n",
              "      <td>4</td>\n",
              "      <td>Low</td>\n",
              "      <td>2013-08-30</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>10</td>\n",
              "      <td>elizabeth thieme</td>\n",
              "      <td>elizabeth</td>\n",
              "      <td>thieme</td>\n",
              "      <td>2014-03-16</td>\n",
              "      <td>Female</td>\n",
              "      <td>1976-06-03</td>\n",
              "      <td>39</td>\n",
              "      <td>25 - 45</td>\n",
              "      <td>Caucasian</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>-1.000</td>\n",
              "      <td>2014-03-15 05:35:34</td>\n",
              "      <td>2014-03-18 04:28:46</td>\n",
              "      <td>14004524MM10A</td>\n",
              "      <td>2014-03-15</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.000</td>\n",
              "      <td>M</td>\n",
              "      <td>Battery</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>O</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Risk of Violence</td>\n",
              "      <td>1</td>\n",
              "      <td>Low</td>\n",
              "      <td>2014-03-16</td>\n",
              "      <td>Risk of Recidivism</td>\n",
              "      <td>1</td>\n",
              "      <td>Low</td>\n",
              "      <td>2014-03-16</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-370b33d4-c9c1-4ead-8002-1c8c1c7d8218')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-370b33d4-c9c1-4ead-8002-1c8c1c7d8218 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-370b33d4-c9c1-4ead-8002-1c8c1c7d8218');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
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              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 2
        }
      ],
      "source": [
        "df = pd.read_csv(\"/content/drive/MyDrive/MachineLearning/compas-scores.csv\")\n",
        "# df_debug = pd.read_csv(\"/content/drive/MyDrive/MachineLearning/compas-scores.csv\") \n",
        "df.head(10)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "evdhPhi5hiLz"
      },
      "source": [
        "### Data exploration (visualizzazione plot e creazione statistiche)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "iteC6vZGu5IB"
      },
      "source": [
        "#### Textual information - statistics"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DAJvUeKuiC7R"
      },
      "source": [
        "Get general information on the dataset, such as shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UQE1oZHPiH54",
        "outputId": "81ce8972-f74d-4dca-b9eb-c87994edfdb5"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(11757, 47)"
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ],
      "source": [
        "df.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3LkapiOkiKF6",
        "outputId": "de41c835-4b61-4e40-b084-d30dc30f2c37"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "552579"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ],
      "source": [
        "df.size"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xLslW7TliLG6",
        "outputId": "b18d059d-23fd-432d-8321-7dbaf2405eae"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 11757 entries, 0 to 11756\n",
            "Data columns (total 47 columns):\n",
            " #   Column                   Non-Null Count  Dtype  \n",
            "---  ------                   --------------  -----  \n",
            " 0   id                       11757 non-null  int64  \n",
            " 1   name                     11757 non-null  object \n",
            " 2   first                    11757 non-null  object \n",
            " 3   last                     11757 non-null  object \n",
            " 4   compas_screening_date    11757 non-null  object \n",
            " 5   sex                      11757 non-null  object \n",
            " 6   dob                      11757 non-null  object \n",
            " 7   age                      11757 non-null  int64  \n",
            " 8   age_cat                  11757 non-null  object \n",
            " 9   race                     11757 non-null  object \n",
            " 10  juv_fel_count            11757 non-null  int64  \n",
            " 11  decile_score             11757 non-null  int64  \n",
            " 12  juv_misd_count           11757 non-null  int64  \n",
            " 13  juv_other_count          11757 non-null  int64  \n",
            " 14  priors_count             11757 non-null  int64  \n",
            " 15  days_b_screening_arrest  10577 non-null  float64\n",
            " 16  c_jail_in                10577 non-null  object \n",
            " 17  c_jail_out               10577 non-null  object \n",
            " 18  c_case_number            11015 non-null  object \n",
            " 19  c_offense_date           9157 non-null   object \n",
            " 20  c_arrest_date            1858 non-null   object \n",
            " 21  c_days_from_compas       11015 non-null  float64\n",
            " 22  c_charge_degree          11757 non-null  object \n",
            " 23  c_charge_desc            11008 non-null  object \n",
            " 24  is_recid                 11757 non-null  int64  \n",
            " 25  num_r_cases              0 non-null      float64\n",
            " 26  r_case_number            3703 non-null   object \n",
            " 27  r_charge_degree          11757 non-null  object \n",
            " 28  r_days_from_arrest       2460 non-null   float64\n",
            " 29  r_offense_date           3703 non-null   object \n",
            " 30  r_charge_desc            3643 non-null   object \n",
            " 31  r_jail_in                2460 non-null   object \n",
            " 32  r_jail_out               2460 non-null   object \n",
            " 33  is_violent_recid         11757 non-null  int64  \n",
            " 34  num_vr_cases             0 non-null      float64\n",
            " 35  vr_case_number           882 non-null    object \n",
            " 36  vr_charge_degree         882 non-null    object \n",
            " 37  vr_offense_date          882 non-null    object \n",
            " 38  vr_charge_desc           882 non-null    object \n",
            " 39  v_type_of_assessment     11757 non-null  object \n",
            " 40  v_decile_score           11757 non-null  int64  \n",
            " 41  v_score_text             11752 non-null  object \n",
            " 42  v_screening_date         11757 non-null  object \n",
            " 43  type_of_assessment       11757 non-null  object \n",
            " 44  decile_score.1           11757 non-null  int64  \n",
            " 45  score_text               11742 non-null  object \n",
            " 46  screening_date           11757 non-null  object \n",
            "dtypes: float64(5), int64(11), object(31)\n",
            "memory usage: 4.2+ MB\n"
          ]
        }
      ],
      "source": [
        "df.info()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GBgj9DQHialx"
      },
      "source": [
        "Counting label occurrences. This is to validate the need for over/undersampling in the Modeling phase"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YihjIiTBikFW",
        "outputId": "c0e96e46-86ae-41f7-fb38-830e1a32438e"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              " 0    7335\n",
              " 1    3703\n",
              "-1     719\n",
              "Name: is_recid, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ],
      "source": [
        "df.is_recid.value_counts()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DDkxy-j7oO0M"
      },
      "source": [
        "Convert features of type object to categorical, to have maximum compatibility with plotting and modeling software"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "36OD_u9Nm7Ps",
        "outputId": "46dab96c-9bd5-48e6-ac49-9c7c1e479891"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 11757 entries, 0 to 11756\n",
            "Data columns (total 47 columns):\n",
            " #   Column                   Non-Null Count  Dtype   \n",
            "---  ------                   --------------  -----   \n",
            " 0   id                       11757 non-null  int64   \n",
            " 1   name                     11757 non-null  category\n",
            " 2   first                    11757 non-null  category\n",
            " 3   last                     11757 non-null  category\n",
            " 4   compas_screening_date    11757 non-null  category\n",
            " 5   sex                      11757 non-null  category\n",
            " 6   dob                      11757 non-null  category\n",
            " 7   age                      11757 non-null  int64   \n",
            " 8   age_cat                  11757 non-null  category\n",
            " 9   race                     11757 non-null  category\n",
            " 10  juv_fel_count            11757 non-null  int64   \n",
            " 11  decile_score             11757 non-null  int64   \n",
            " 12  juv_misd_count           11757 non-null  int64   \n",
            " 13  juv_other_count          11757 non-null  int64   \n",
            " 14  priors_count             11757 non-null  int64   \n",
            " 15  days_b_screening_arrest  10577 non-null  float64 \n",
            " 16  c_jail_in                10577 non-null  category\n",
            " 17  c_jail_out               10577 non-null  category\n",
            " 18  c_case_number            11015 non-null  category\n",
            " 19  c_offense_date           9157 non-null   category\n",
            " 20  c_arrest_date            1858 non-null   category\n",
            " 21  c_days_from_compas       11015 non-null  float64 \n",
            " 22  c_charge_degree          11757 non-null  category\n",
            " 23  c_charge_desc            11008 non-null  category\n",
            " 24  is_recid                 11757 non-null  int64   \n",
            " 25  num_r_cases              0 non-null      float64 \n",
            " 26  r_case_number            3703 non-null   category\n",
            " 27  r_charge_degree          11757 non-null  category\n",
            " 28  r_days_from_arrest       2460 non-null   float64 \n",
            " 29  r_offense_date           3703 non-null   category\n",
            " 30  r_charge_desc            3643 non-null   category\n",
            " 31  r_jail_in                2460 non-null   category\n",
            " 32  r_jail_out               2460 non-null   category\n",
            " 33  is_violent_recid         11757 non-null  int64   \n",
            " 34  num_vr_cases             0 non-null      float64 \n",
            " 35  vr_case_number           882 non-null    category\n",
            " 36  vr_charge_degree         882 non-null    category\n",
            " 37  vr_offense_date          882 non-null    category\n",
            " 38  vr_charge_desc           882 non-null    category\n",
            " 39  v_type_of_assessment     11757 non-null  category\n",
            " 40  v_decile_score           11757 non-null  int64   \n",
            " 41  v_score_text             11752 non-null  category\n",
            " 42  v_screening_date         11757 non-null  category\n",
            " 43  type_of_assessment       11757 non-null  category\n",
            " 44  decile_score.1           11757 non-null  int64   \n",
            " 45  score_text               11742 non-null  category\n",
            " 46  screening_date           11757 non-null  category\n",
            "dtypes: category(31), float64(5), int64(11)\n",
            "memory usage: 4.5 MB\n"
          ]
        }
      ],
      "source": [
        "for attribute in df.columns:\n",
        "    if df[attribute].dtype == object:\n",
        "        df[attribute] = df[attribute].astype('category')\n",
        "df.info()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NL3vtn4pt6Mu"
      },
      "source": [
        "Show statistics of attributes (such as mean, std, quartiles). First numerical, then categorical"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 595
        },
        "id": "HchFoJVYuFrp",
        "outputId": "736135c4-8890-4e10-eafc-3830ef745153"
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      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                            count     mean      std      min      25%  \\\n",
              "id                      11757.000 5879.000 3394.098    1.000 2940.000   \n",
              "age                     11757.000   35.143   12.023   18.000   25.000   \n",
              "juv_fel_count           11757.000    0.062    0.445    0.000    0.000   \n",
              "decile_score            11757.000    4.371    2.878   -1.000    2.000   \n",
              "juv_misd_count          11757.000    0.076    0.450    0.000    0.000   \n",
              "juv_other_count         11757.000    0.094    0.472    0.000    0.000   \n",
              "priors_count            11757.000    3.082    4.687    0.000    0.000   \n",
              "days_b_screening_arrest 10577.000   -0.878   72.889 -597.000   -1.000   \n",
              "c_days_from_compas      11015.000   63.588  341.900    0.000    1.000   \n",
              "is_recid                11757.000    0.254    0.558   -1.000    0.000   \n",
              "num_r_cases                 0.000      NaN      NaN      NaN      NaN   \n",
              "r_days_from_arrest       2460.000   20.411   74.355   -1.000    0.000   \n",
              "is_violent_recid        11757.000    0.075    0.263    0.000    0.000   \n",
              "num_vr_cases                0.000      NaN      NaN      NaN      NaN   \n",
              "v_decile_score          11757.000    3.571    2.500   -1.000    1.000   \n",
              "decile_score.1          11757.000    4.371    2.878   -1.000    2.000   \n",
              "\n",
              "                             50%      75%       max  \n",
              "id                      5879.000 8818.000 11757.000  \n",
              "age                       32.000   43.000    96.000  \n",
              "juv_fel_count              0.000    0.000    20.000  \n",
              "decile_score               4.000    7.000    10.000  \n",
              "juv_misd_count             0.000    0.000    13.000  \n",
              "juv_other_count            0.000    0.000    17.000  \n",
              "priors_count               1.000    4.000    43.000  \n",
              "days_b_screening_arrest   -1.000   -1.000  1057.000  \n",
              "c_days_from_compas         1.000    2.000  9485.000  \n",
              "is_recid                   0.000    1.000     1.000  \n",
              "num_r_cases                  NaN      NaN       NaN  \n",
              "r_days_from_arrest         0.000    1.000   993.000  \n",
              "is_violent_recid           0.000    0.000     1.000  \n",
              "num_vr_cases                 NaN      NaN       NaN  \n",
              "v_decile_score             3.000    5.000    10.000  \n",
              "decile_score.1             4.000    7.000    10.000  "
            ],
            "text/html": [
              "\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>count</th>\n",
              "      <th>mean</th>\n",
              "      <th>std</th>\n",
              "      <th>min</th>\n",
              "      <th>25%</th>\n",
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              "      <th>75%</th>\n",
              "      <th>max</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>id</th>\n",
              "      <td>11757.000</td>\n",
              "      <td>5879.000</td>\n",
              "      <td>3394.098</td>\n",
              "      <td>1.000</td>\n",
              "      <td>2940.000</td>\n",
              "      <td>5879.000</td>\n",
              "      <td>8818.000</td>\n",
              "      <td>11757.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>age</th>\n",
              "      <td>11757.000</td>\n",
              "      <td>35.143</td>\n",
              "      <td>12.023</td>\n",
              "      <td>18.000</td>\n",
              "      <td>25.000</td>\n",
              "      <td>32.000</td>\n",
              "      <td>43.000</td>\n",
              "      <td>96.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>juv_fel_count</th>\n",
              "      <td>11757.000</td>\n",
              "      <td>0.062</td>\n",
              "      <td>0.445</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>20.000</td>\n",
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              "    <tr>\n",
              "      <th>decile_score</th>\n",
              "      <td>11757.000</td>\n",
              "      <td>4.371</td>\n",
              "      <td>2.878</td>\n",
              "      <td>-1.000</td>\n",
              "      <td>2.000</td>\n",
              "      <td>4.000</td>\n",
              "      <td>7.000</td>\n",
              "      <td>10.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>juv_misd_count</th>\n",
              "      <td>11757.000</td>\n",
              "      <td>0.076</td>\n",
              "      <td>0.450</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>13.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>juv_other_count</th>\n",
              "      <td>11757.000</td>\n",
              "      <td>0.094</td>\n",
              "      <td>0.472</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>17.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>priors_count</th>\n",
              "      <td>11757.000</td>\n",
              "      <td>3.082</td>\n",
              "      <td>4.687</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>1.000</td>\n",
              "      <td>4.000</td>\n",
              "      <td>43.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>days_b_screening_arrest</th>\n",
              "      <td>10577.000</td>\n",
              "      <td>-0.878</td>\n",
              "      <td>72.889</td>\n",
              "      <td>-597.000</td>\n",
              "      <td>-1.000</td>\n",
              "      <td>-1.000</td>\n",
              "      <td>-1.000</td>\n",
              "      <td>1057.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>c_days_from_compas</th>\n",
              "      <td>11015.000</td>\n",
              "      <td>63.588</td>\n",
              "      <td>341.900</td>\n",
              "      <td>0.000</td>\n",
              "      <td>1.000</td>\n",
              "      <td>1.000</td>\n",
              "      <td>2.000</td>\n",
              "      <td>9485.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>is_recid</th>\n",
              "      <td>11757.000</td>\n",
              "      <td>0.254</td>\n",
              "      <td>0.558</td>\n",
              "      <td>-1.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>1.000</td>\n",
              "      <td>1.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>num_r_cases</th>\n",
              "      <td>0.000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>r_days_from_arrest</th>\n",
              "      <td>2460.000</td>\n",
              "      <td>20.411</td>\n",
              "      <td>74.355</td>\n",
              "      <td>-1.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>1.000</td>\n",
              "      <td>993.000</td>\n",
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              "    <tr>\n",
              "      <th>is_violent_recid</th>\n",
              "      <td>11757.000</td>\n",
              "      <td>0.075</td>\n",
              "      <td>0.263</td>\n",
              "      <td>0.000</td>\n",
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              "      <td>1.000</td>\n",
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              "    <tr>\n",
              "      <th>num_vr_cases</th>\n",
              "      <td>0.000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <th>v_decile_score</th>\n",
              "      <td>11757.000</td>\n",
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          "metadata": {},
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      "metadata": {
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            "text/plain": [
              "                       count unique                        top   freq\n",
              "name                   11757  11584                 john brown      4\n",
              "first                  11757   4058                    michael    264\n",
              "last                   11757   5921                   williams    145\n",
              "compas_screening_date  11757    704                 2013-03-20     39\n",
              "sex                    11757      2                       Male   9336\n",
              "dob                    11757   7800                 1989-04-27      6\n",
              "age_cat                11757      3                    25 - 45   6649\n",
              "race                   11757      6           African-American   5813\n",
              "c_jail_in              10577  10577        2013-01-01 01:31:55      1\n",
              "c_jail_out             10577  10517        2014-02-12 10:41:00      4\n",
              "c_case_number          11015  11015              00004068CF10A      1\n",
              "c_offense_date          9157   1036                 2013-03-20     29\n",
              "c_arrest_date           1858    802                 2013-01-10      9\n",
              "c_charge_degree        11757      3                          F   7232\n",
              "c_charge_desc          11008    531      arrest case no charge   1858\n",
              "r_case_number           3703   3703              13000349MM10A      1\n",
              "r_charge_degree        11757      3                          O   8056\n",
              "r_offense_date          3703   1090                 2014-12-08     12\n",
              "r_charge_desc           3643    352  Driving License Suspended    279\n",
              "r_jail_in               2460    984                 2014-05-27      9\n",
              "r_jail_out              2460    953                 2015-05-15     10\n",
              "vr_case_number           882    882              13001383CF10A      1\n",
              "vr_charge_degree         882      9                       (M1)    372\n",
              "vr_offense_date          882    599                 2015-08-15      6\n",
              "vr_charge_desc           882     88                    Battery    356\n",
              "v_type_of_assessment   11757      1           Risk of Violence  11757\n",
              "v_score_text           11752      3                        Low   7968\n",
              "v_screening_date       11757    704                 2013-03-20     39\n",
              "type_of_assessment     11757      1         Risk of Recidivism  11757\n",
              "score_text             11742      3                        Low   6607\n",
              "screening_date         11757    704                 2013-03-20     39"
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>count</th>\n",
              "      <th>unique</th>\n",
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              "      <th>name</th>\n",
              "      <td>11757</td>\n",
              "      <td>11584</td>\n",
              "      <td>john brown</td>\n",
              "      <td>4</td>\n",
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              "    <tr>\n",
              "      <th>first</th>\n",
              "      <td>11757</td>\n",
              "      <td>4058</td>\n",
              "      <td>michael</td>\n",
              "      <td>264</td>\n",
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              "    <tr>\n",
              "      <th>last</th>\n",
              "      <td>11757</td>\n",
              "      <td>5921</td>\n",
              "      <td>williams</td>\n",
              "      <td>145</td>\n",
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              "    <tr>\n",
              "      <th>compas_screening_date</th>\n",
              "      <td>11757</td>\n",
              "      <td>704</td>\n",
              "      <td>2013-03-20</td>\n",
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              "    <tr>\n",
              "      <th>sex</th>\n",
              "      <td>11757</td>\n",
              "      <td>2</td>\n",
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              "      <td>9336</td>\n",
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              "      <td>1989-04-27</td>\n",
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              "      <th>age_cat</th>\n",
              "      <td>11757</td>\n",
              "      <td>3</td>\n",
              "      <td>25 - 45</td>\n",
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              "      <th>race</th>\n",
              "      <td>11757</td>\n",
              "      <td>6</td>\n",
              "      <td>African-American</td>\n",
              "      <td>5813</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>c_jail_in</th>\n",
              "      <td>10577</td>\n",
              "      <td>10577</td>\n",
              "      <td>2013-01-01 01:31:55</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>c_jail_out</th>\n",
              "      <td>10577</td>\n",
              "      <td>10517</td>\n",
              "      <td>2014-02-12 10:41:00</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>c_case_number</th>\n",
              "      <td>11015</td>\n",
              "      <td>11015</td>\n",
              "      <td>00004068CF10A</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
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              "      <th>c_offense_date</th>\n",
              "      <td>9157</td>\n",
              "      <td>1036</td>\n",
              "      <td>2013-03-20</td>\n",
              "      <td>29</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>c_arrest_date</th>\n",
              "      <td>1858</td>\n",
              "      <td>802</td>\n",
              "      <td>2013-01-10</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>c_charge_degree</th>\n",
              "      <td>11757</td>\n",
              "      <td>3</td>\n",
              "      <td>F</td>\n",
              "      <td>7232</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>c_charge_desc</th>\n",
              "      <td>11008</td>\n",
              "      <td>531</td>\n",
              "      <td>arrest case no charge</td>\n",
              "      <td>1858</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>r_case_number</th>\n",
              "      <td>3703</td>\n",
              "      <td>3703</td>\n",
              "      <td>13000349MM10A</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>r_charge_degree</th>\n",
              "      <td>11757</td>\n",
              "      <td>3</td>\n",
              "      <td>O</td>\n",
              "      <td>8056</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>r_offense_date</th>\n",
              "      <td>3703</td>\n",
              "      <td>1090</td>\n",
              "      <td>2014-12-08</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>r_charge_desc</th>\n",
              "      <td>3643</td>\n",
              "      <td>352</td>\n",
              "      <td>Driving License Suspended</td>\n",
              "      <td>279</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>r_jail_in</th>\n",
              "      <td>2460</td>\n",
              "      <td>984</td>\n",
              "      <td>2014-05-27</td>\n",
              "      <td>9</td>\n",
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              "      <td>2460</td>\n",
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              "      <td>10</td>\n",
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              "    <tr>\n",
              "      <th>vr_case_number</th>\n",
              "      <td>882</td>\n",
              "      <td>882</td>\n",
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              "    <tr>\n",
              "      <th>vr_charge_degree</th>\n",
              "      <td>882</td>\n",
              "      <td>9</td>\n",
              "      <td>(M1)</td>\n",
              "      <td>372</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>vr_offense_date</th>\n",
              "      <td>882</td>\n",
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              "      <td>6</td>\n",
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              "    <tr>\n",
              "      <th>vr_charge_desc</th>\n",
              "      <td>882</td>\n",
              "      <td>88</td>\n",
              "      <td>Battery</td>\n",
              "      <td>356</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>v_type_of_assessment</th>\n",
              "      <td>11757</td>\n",
              "      <td>1</td>\n",
              "      <td>Risk of Violence</td>\n",
              "      <td>11757</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>v_score_text</th>\n",
              "      <td>11752</td>\n",
              "      <td>3</td>\n",
              "      <td>Low</td>\n",
              "      <td>7968</td>\n",
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              "      <th>v_screening_date</th>\n",
              "      <td>11757</td>\n",
              "      <td>704</td>\n",
              "      <td>2013-03-20</td>\n",
              "      <td>39</td>\n",
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              "    <tr>\n",
              "      <th>type_of_assessment</th>\n",
              "      <td>11757</td>\n",
              "      <td>1</td>\n",
              "      <td>Risk of Recidivism</td>\n",
              "      <td>11757</td>\n",
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              "    <tr>\n",
              "      <th>score_text</th>\n",
              "      <td>11742</td>\n",
              "      <td>3</td>\n",
              "      <td>Low</td>\n",
              "      <td>6607</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>screening_date</th>\n",
              "      <td>11757</td>\n",
              "      <td>704</td>\n",
              "      <td>2013-03-20</td>\n",
              "      <td>39</td>\n",
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            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ],
      "source": [
        "df.describe(include = 'category').T"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "N60mKG63Qd2S"
      },
      "source": [
        "#### Textual information - low variance columns"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fhoQ1BI3Qkuo"
      },
      "source": [
        "Analyzing in-depth the occurrences of the lowest variance columns. These are the columns where the histogram is strongly centered around the mean, with very little dispersion. They will be useful for modeling purposes."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lo8PXLPeQpMn",
        "outputId": "fa629cf9-65af-4f8e-e049-3924298ce7d7"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0    0.953\n",
              "1    0.033\n",
              "2    0.009\n",
              "3    0.003\n",
              "4    0.001\n",
              "5    0.001\n",
              "6    0.000\n",
              "8    0.000\n",
              "12   0.000\n",
              "7    0.000\n",
              "13   0.000\n",
              "Name: juv_misd_count, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ],
      "source": [
        "df['juv_misd_count'].value_counts(normalize=True).head(20)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "uKqX2iyiRHlQ",
        "outputId": "49ba439c-9765-4019-9bea-48b6aa922928"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0    0.964\n",
              "1    0.024\n",
              "2    0.007\n",
              "3    0.003\n",
              "4    0.001\n",
              "5    0.001\n",
              "8    0.000\n",
              "6    0.000\n",
              "10   0.000\n",
              "9    0.000\n",
              "20   0.000\n",
              "13   0.000\n",
              "Name: juv_fel_count, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ],
      "source": [
        "df['juv_fel_count'].value_counts(normalize=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Fx4QY890hk9Z",
        "outputId": "8a21b6f3-3188-473d-c3d9-1db437376966"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0    0.356\n",
              "1    0.187\n",
              "2    0.109\n",
              "3    0.073\n",
              "4    0.050\n",
              "5    0.040\n",
              "6    0.030\n",
              "7    0.027\n",
              "8    0.022\n",
              "9    0.017\n",
              "10   0.014\n",
              "11   0.011\n",
              "13   0.009\n",
              "12   0.009\n",
              "14   0.007\n",
              "15   0.006\n",
              "16   0.005\n",
              "17   0.004\n",
              "18   0.004\n",
              "19   0.003\n",
              "Name: priors_count, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ],
      "source": [
        "df['priors_count'].value_counts(normalize=True).head(20)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Qld4AIqhu89S"
      },
      "source": [
        "#### Graphical information - histograms (numeric)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "y7benY43wJ0G"
      },
      "source": [
        "Below there will be histograms of the columns that we deemed more important w.r.t. the problem scope. Specifically, columns with more than 60% of null values will not be plotted."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DjaxbbQjwj7y",
        "outputId": "79961dba-09d0-48f9-cfcf-1a250dcdd25b"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 11757 entries, 0 to 11756\n",
            "Data columns (total 10 columns):\n",
            " #   Column                   Non-Null Count  Dtype  \n",
            "---  ------                   --------------  -----  \n",
            " 0   days_b_screening_arrest  10577 non-null  float64\n",
            " 1   c_days_from_compas       11015 non-null  float64\n",
            " 2   v_decile_score           11757 non-null  int64  \n",
            " 3   age                      11757 non-null  int64  \n",
            " 4   juv_fel_count            11757 non-null  int64  \n",
            " 5   decile_score             11757 non-null  int64  \n",
            " 6   juv_misd_count           11757 non-null  int64  \n",
            " 7   juv_other_count          11757 non-null  int64  \n",
            " 8   priors_count             11757 non-null  int64  \n",
            " 9   is_recid                 11757 non-null  int64  \n",
            "dtypes: float64(2), int64(8)\n",
            "memory usage: 918.6 KB\n"
          ]
        }
      ],
      "source": [
        "numeric_cols_vector = ['days_b_screening_arrest', 'c_days_from_compas', \n",
        "                       'v_decile_score', 'age', 'juv_fel_count', 'decile_score', \n",
        "                       'juv_misd_count', 'juv_other_count', 'priors_count', 'is_recid']\n",
        "numeric_cols_df = df[numeric_cols_vector]\n",
        "numeric_cols_df.info()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "v_mAZ48ZyQeM",
        "outputId": "82f4fd94-5b48-4aca-8b39-6ec5055a521c"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1800x1080 with 12 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ],
      "source": [
        "plt.style.use('fivethirtyeight')\n",
        "# _: trick to avoid useless text printed\n",
        "_ = numeric_cols_df.hist(figsize=(25,15), bins=30)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "bcGOlWgJj9aY"
      },
      "source": [
        "Some distributions are skewed to the left, such as age, while many are strongly centered around one single value, such as *juv_count*."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "r2spPvqqiNZL"
      },
      "source": [
        "#### Graphical information - histograms (categorical)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "S8EORXGhixyI"
      },
      "source": [
        "Isolating the most relevant categorical columns, then plotting each one. We exclude dates (separately plotted), case IDs, univariate columns."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1x8NYGm_iZYe",
        "outputId": "7fbba011-018c-4254-bd84-97ae86cdf0be"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1440x720 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1440x720 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1440x720 with 1 Axes>"
            ],
            "image/png": 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iiy3y+OOPZ/r06dlqq61y0UUXtfcUAQD4EHDbOAAArdbc3Jzx48fnnnvuyfPPP5/XXnstnTp1ykEHHZTTTz89e++9d3tPEQCADwHxEgAAAAAoJM+8BAAAAAAKSbwEAAAAAApJvAQAAAAACkm8ZJMyf/789p4CbNKsIWgbawjaxhqC9Wf9QNtYQ5su8RIAAAAAKCTxEgAAAAAoJPESAAAAACikdo2XL7zwQr7xjW/kU5/6VKqrq3PAAQdk5syZpf3Nzc2ZMGFCevTokc6dO2fo0KGZN29ei2M0NTVl9OjRqampSU1NTUaPHp2mpqYWYx599NEMGTIknTt3zh577JG6uro0NzdvlHMEAAAAANZPu8XLpqamDBo0KM3Nzfntb3+bOXPm5MILL0xlZWVpzGWXXZYrr7wydXV1mTZtWiorKzN8+PC8+uqrpTGjRo3K3Llz09DQkIaGhsydOzcnnXRSaf8rr7yS4cOHp6qqKtOmTcsFF1yQyy+/PFdcccVGPV8AAAAAoHW2aK8P/tGPfpTOnTvnmmuuKW3r3r176b+bm5tTX1+f008/PcOGDUuS1NfXp7a2Ng0NDRk5cmSeeOKJTJ06NXfeeWf69OmTJLn00kszePDgzJ8/P7W1tZk0aVJWrlyZ+vr6lJeXp2fPnnnyySdz1VVX5dRTT01ZWdlGPW8AAAAA4P1ptysv77jjjuy7774ZOXJkdt111xxyyCG59tprS7dzL1iwIIsWLcqRRx5Z+pny8vIcdNBBmTNnTpKksbEx22yzTQ444IDSmL59+6ZDhw4txhx44IEpLy8vjenfv38WLlyYBQsWbIxTBQAAAADWQ7tdefnMM8/k+uuvz5gxY3L66afn4Ycfzvjx45Mko0ePzqJFi5KkxW3kq/++cOHCJMnixYvTqVOnFldPlpWVZccdd8zixYtLY3baaac1jrF63zuv9nyn+fPnt/0k2SD820DbWEPQNtYQtI01BOvP+oG2sYaKq7a2dq372i1evv322/nMZz6Tc889N0my99575+mnn851112X0aNHt9e0Stb1pdF+Vj8OAFg/1hC0jTUEbWMNwfqzfqBtrKFNV7vdNl5dXZ3dd9+9xbbddtst//jHP0r7k2TJkiUtxixZsiRVVVVJkqqqqixbtqzFm8Obm5uzdOnSFmPe7Rir9wEAAAAAxdRu8bJv37556qmnWmx76qmnsvPOOydJunXrlurq6kyfPr20f9WqVZk9e3bpGZd9+vTJ8uXL09jYWBrT2NiYFStWtBgze/bsrFq1qjRm+vTp6dKlS7p167bBzg8AAAAAaJt2i5djxozJ/fffn4svvjhPP/10br311lx77bUZNWpUkn89u/Lkk0/OZZddlsmTJ+exxx7LmDFj0qFDh4wYMSJJsvvuu+eoo47K2LFj09jYmMbGxowdOzaDBg0qXQo8YsSIlJeXZ8yYMXnssccyefLkTJw4MWPGjPGmcQAAAAAosHZ75mXv3r3zy1/+Mt/73vdy0UUX5ROf+ETOOeecUrxMktNOOy0rV67MmWeemaampuy77765+eabs+2225bGXHfddTnrrLNy7LHHJkkGDx6cCy+8sLS/Y8eOueWWWzJu3Lj069cvFRUVOeWUU3LqqaduvJMFAAAAAFqtrKmpqfm9h0ExeMAutI01BG1jDUHbWEOw/qwfaBtraNPVbreNAwAAAACsi3gJAAAAABSSeAkAAAAAFJJ4CQAAAAAUkngJAAAAABSSeAkAAAAAFJJ4CQAAAAAUkngJAAAAABSSeAkAAAAAFJJ4CQAAAAAU0hbtPQE2rIob/re9p/AB2zqZ+eE5p6aRXdt7CgAAAACF5cpLAAAAAKCQxEsAAAAAoJDESwAAAACgkMRLAAAAAKCQxEsAAAAAoJDESwAAAACgkMRLAAAAAKCQxEsAAAAAoJDESwAAAACgkMRLAAAAAKCQxEsAAAAAoJDESwAAAACgkMRLAAAAAKCQxEsAAAAAoJDESwAAAACgkMRLAAAAAKCQxEsAAAAAoJDESwAAAACgkMRLAAAAAKCQxEsAAAAAoJDESwAAAACgkMRLAAAAAKCQxEsAAAAAoJDESwAAAACgkMRLAAAAAKCQxEsAAAAAoJDESwAAAACgkMRLAAAAAKCQxEsAAAAAoJDESwAAAACgkMRLAAAAAKCQxEsAAAAAoJDESwAAAACgkMRLAAAAAKCQxEsAAAAAoJDESwAAAACgkMRLAAAAAKCQxEsAAAAAoJDESwAAAACgkMRLAAAAAKCQxEsAAAAAoJDESwAAAACgkMRLAAAAAKCQxEsAAAAAoJDESwAAAACgkMRLAAAAAKCQxEsAAAAAoJDESwAAAACgkMRLAAAAAKCQxEsAAAAAoJDESwAAAACgkMRLAAAAAKCQxEsAAAAAoJDESwAAAACgkMRLAAAAAKCQxEsAAAAAoJDESwAAAACgkMRLAAAAAKCQxEsAAAAAoJDESwAAAACgkMRLAAAAAKCQxEsAAAAAoJDESwAAAACgkMRLAAAAAKCQxEsAAAAAoJDESwAAAACgkMRLAAAAAKCQxEsAAAAAoJDESwAAAACgkMRLAAAAAKCQxEsAAAAAoJDESwAAAACgkMRLAAAAAKCQ2i1eTpgwIRUVFS3+7LbbbqX9zc3NmTBhQnr06JHOnTtn6NChmTdvXotjNDU1ZfTo0ampqUlNTU1Gjx6dpqamFmMeffTRDBkyJJ07d84ee+yRurq6NDc3b5RzBAAAAADWX7teeVlbW5snnnii9GfWrFmlfZdddlmuvPLK1NXVZdq0aamsrMzw4cPz6quvlsaMGjUqc+fOTUNDQxoaGjJ37tycdNJJpf2vvPJKhg8fnqqqqkybNi0XXHBBLr/88lxxxRUb9TwBAAAAgNbbol0/fIstUl1dvcb25ubm1NfX5/TTT8+wYcOSJPX19amtrU1DQ0NGjhyZJ554IlOnTs2dd96ZPn36JEkuvfTSDB48OPPnz09tbW0mTZqUlStXpr6+PuXl5enZs2eefPLJXHXVVTn11FNTVla2Uc8XAAAAAHj/2vXKy2eeeSY9evTIpz/96fzHf/xHnnnmmSTJggULsmjRohx55JGlseXl5TnooIMyZ86cJEljY2O22WabHHDAAaUxffv2TYcOHVqMOfDAA1NeXl4a079//yxcuDALFizYCGcIAAAAAKyvdrvycr/99stVV12V2traLF26NBdddFEGDhyY++67L4sWLUqSVFZWtviZysrKLFy4MEmyePHidOrUqcXVk2VlZdlxxx2zePHi0piddtppjWOs3te9e/e1zm/+/PltPsdi2Lq9J8A6fHh+z9iU+L2DtrGGoG2sIVh/1g+0jTVUXLW1tWvd127xcsCAAS3+vt9++2WfffbJr371q+y///7tNKv/37q+tE3KzP9t7xmwDh+a3zM2GasfqwGsH2sI2sYagvVn/UDbWEObrna9bfydttlmm/To0SNPP/106TmYS5YsaTFmyZIlqaqqSpJUVVVl2bJlLd4c3tzcnKVLl7YY827HWL0PAAAAACiuwsTLVatWZf78+amurk63bt1SXV2d6dOnt9g/e/bs0jMu+/Tpk+XLl6exsbE0prGxMStWrGgxZvbs2Vm1alVpzPTp09OlS5d069ZtI50ZAAAAALA+2i1efvvb387MmTPzzDPP5K9//Wu++tWv5rXXXssXv/jFlJWV5eSTT85ll12WyZMn57HHHsuYMWPSoUOHjBgxIkmy++6756ijjsrYsWPT2NiYxsbGjB07NoMGDSpdBjxixIiUl5dnzJgxeeyxxzJ58uRMnDgxY8aM8aZxAAAAACi4dnvm5fPPP59Ro0Zl2bJl2XHHHbPffvvl7rvvTk1NTZLktNNOy8qVK3PmmWemqakp++67b26++eZsu+22pWNcd911Oeuss3LssccmSQYPHpwLL7ywtL9jx4655ZZbMm7cuPTr1y8VFRU55ZRTcuqpp27ckwUAAAAAWq2sqamp+b2HsamquMELe4qsaWTX9p4CHzEeUg1tYw1B21hDsP6sH2gba2jTVZhnXgIAAAAAvJN4CQAAAAAUkngJAAAAABSSeAkAAAAAFJJ4CQAAAAAUkngJAAAAABSSeAkAAAAAFJJ4CQAAAAAUkngJAAAAABSSeAkAAAAAFJJ4CQAAAAAUkngJAAAAABSSeAkAAAAAFJJ4CQAAAAAUkngJAAAAABSSeAkAAAAAFJJ4CQAAAAAUkngJAAAAABSSeAkAAAAAFJJ4CQAAAAAUkngJAAAAABSSeAkAAAAAFJJ4CQAAAAAUkngJAAAAABSSeAkAAAAAFJJ4CQAAAAAUkngJAAAAABSSeAkAAAAAFJJ4CQAAAAAUkngJAAAAABSSeAkAAAAAFJJ4CQAAAAAUkngJAAAAABSSeAkAAAAAFJJ4CQAAAAAUkngJAAAAABSSeAkAAAAAFJJ4CQAAAAAUkngJAAAAABSSeAkAAAAAFJJ4CQAAAAAUkngJAAAAABSSeAkAAAAAFJJ4CQAAAAAUkngJAAAAABSSeAkAAAAAFJJ4CQAAAAAUkngJAAAAABSSeAkAAAAAFJJ4CQAAAAAUkngJAAAAABSSeAkAAAAAFJJ4CQAAAAAUkngJAAAAABSSeAkAAAAAFJJ4CQAAAAAUkngJAAAAABSSeAkAAAAAFJJ4CQAAAAAUkngJAAAAABSSeAkAAAAAFJJ4CQAAAAAUkngJAAAAABSSeAkAAAAAFJJ4CQAAAAAUkngJAAAAABSSeAkAAAAAFJJ4CQAAAAAUkngJAAAAABSSeAkAAAAAFJJ4CQAAAAAUkngJAAAAABSSeAkAAAAAFJJ4CQAAAAAUkngJAAAAABSSeAkAAAAAFJJ4CQAAAAAUkngJAAAAABSSeAkAAAAAFJJ4CQAAAAAUkngJAAAAABTSFu09AYAiq7jhf9t7Ch+wrZOZH55zahrZtb2nAAAAwAbkyksAAAAAoJDESwAAAACgkMRLAAAAAKCQChMvL7nkklRUVOTMM88sbWtubs6ECRPSo0ePdO7cOUOHDs28efNa/FxTU1NGjx6dmpqa1NTUZPTo0Wlqamox5tFHH82QIUPSuXPn7LHHHqmrq0tzc/NGOS8AAAAAYP0UIl7ef//9ufHGG9OrV68W2y+77LJceeWVqaury7Rp01JZWZnhw4fn1VdfLY0ZNWpU5s6dm4aGhjQ0NGTu3Lk56aSTSvtfeeWVDB8+PFVVVZk2bVouuOCCXH755bniiis22vkBAAAAAK3X7vHy5Zdfzte//vVcccUVqaioKG1vbm5OfX19Tj/99AwbNiw9e/ZMfX19li9fnoaGhiTJE088kalTp2bixInp06dP+vTpk0svvTR33XVX5s+fnySZNGlSVq5cmfr6+vTs2TPDhg3LaaedlquuusrVlwAAAABQYO0eL1fHycMOO6zF9gULFmTRokU58sgjS9vKy8tz0EEHZc6cOUmSxsbGbLPNNjnggANKY/r27ZsOHTq0GHPggQemvLy8NKZ///5ZuHBhFixYsCFPDQAAAABogy3a88N/+tOf5umnn8611167xr5FixYlSSorK1tsr6yszMKFC5MkixcvTqdOnVJWVlbaX1ZWlh133DGLFy8ujdlpp53WOMbqfd27d3/Xua2+cnPTt3V7T4B1+PD8nn2YWUNFZg3RHvzeQdtYQ7D+rB9oG2uouGpra9e6r93i5fz58/O9730vd955Z7bccsv2msZaretL26TM/N/2ngHr8KH5Pfsws4YKzRpiY5s/f77fO2gDawjWn/UDbWMNbbra7bbxxsbGLFu2LH379k2nTp3SqVOn3HvvvbnuuuvSqVOn7LDDDkmSJUuWtPi5JUuWpKqqKklSVVWVZcuWtXh2ZXNzc5YuXdpizLsdY/U+AAAAAKCY2i1eDh06NLNmzcqMGTNKfz7zmc/k2GOPzYwZM7Lrrrumuro606dPL/3MqlWrMnv27NIzLvv06ZPly5ensbGxNKaxsTErVqxoMWb27NlZtWpVacz06dPTpUuXdOvWbSOdLQAAAADQWu1223hFRUWLt4snydZbb53tt98+PXv2TJKcfPLJueSSS1JbW5tdd901F198cTp06JARI0YkSXbffSF4ytQAACAASURBVPccddRRGTt2bCZOnJgkGTt2bAYNGlS6FHjEiBGpq6vLmDFjMm7cuDz11FOZOHFizjrrrBbPygQAAAAAiqVdX9jzXk477bSsXLkyZ555ZpqamrLvvvvm5ptvzrbbblsac9111+Wss87KsccemyQZPHhwLrzwwtL+jh075pZbbsm4cePSr1+/VFRU5JRTTsmpp5660c8HAAAAAHj/ypqamprfexibqoobvGykyJpGdm3vKfAerKFis4bY2DzoHdrGGoL1Z/1A21hDm652e+YlAAAAAMC6iJcAAAAAQCGJlwAAAABAIYmXAAAAAEAhiZcAAAAAQCGJlwAAAABAIYmXAAAAAEAhiZcAAAAAQCGJlwAAAABAIYmXAAAAAEAhiZcAAAAAQCGJlwAAAABAIYmXAAAAAEAhiZcAAAAAQCGJlwAAAABAIYmXAAAAAEAhiZcAAAAAQCGJlwAAAABAIYmXAAAAAEAhiZcAAAAAQCGJlwAAAABAIYmXAAAAAEAhiZcAAAAAQCGJlwAAAABAIYmXAAAAAEAhiZcAAAAAQCGJlwAAAABAIYmXAAAAAEAhiZcAAAAAQCGJlwAAAABAIYmXAAAAAEAhiZcAAAAAQCGJlwAAAABAIYmXAAAAAEAhiZcAAAAAQCGJlwAAAABAIYmXAAAAAEAhiZcAAAAAQCGJlwAAAABAIYmXAAAAAEAhiZcAAAAAQCGJlwAAAABAIYmXAAAAAEAhiZcAAAAAQCGJlwAAAABAIYmXAAAAAEAhiZcAAAAAQCGJlwAAAABAIYmXAAAAAEAhiZcAAAAAQCGJlwAAAABAIYmXAAAAAEAhiZcAAAAAQCGJlwAAAABAIYmXAAAAAEAhiZcAAAAAQCGJlwAAAABAIYmXAAAAAEAhiZcAAAAAQCGJlwAAAABAIYmXAAAAAEAhiZcAAAAAQCG1Kl7W1dXlscceW+v+efPmpa6urs2TAgAAAABoVby84IIL8uijj651v3gJAAAAAHxQPtDbxpcvX54tt9zygzwkAAAAAPARtcV7DXjkkUfy8MMPl/4+e/bs/POf/1xjXFNTU37yk5+ktrb2g50hAAAAAPCR9J7xcsqUKaVbwcvKynLDDTfkhhtueNexFRUVufbaaz/YGQIAAAAAH0nvGS///d//PUcffXSam5tz5JFH5pxzzsmAAQPWGNehQ4fssssu2WKL9zwkAAAAAMB7es/S2Llz53Tu3DlJcvvtt2f33XdPZWXlBp8YAAAAAPDR1qrLJA855JANNQ8AAAAAgBZafY/3n/70p/z85z/PM888k6ampjQ3N7fYX1ZWlgcffPADmyAAAAAA8NHUqnj5ox/9KOedd16qqqrSu3fv9OzZc0PNCwAAAAD4iGtVvLz66qtz2GGHZdKkSdlyyy031JwAAAAAALJZawY3NTVl2LBhwiUAAAAAsMG1Kl7uu+++mT9//oaaCwAAAABASavi5cUXX5wpU6bkt7/97YaaDwAAAABAklY+8/LEE0/MG2+8kW984xsZO3ZsunTpks0337zFmLKystx3330f6CQBAAAAgI+eVsXLHXfcMZWVldl111031HwAAAAAAJK0Ml7ecccdG2oeAAAAAAAttOqZlwAAAAAAG0urrry8995739e4gw8+eL0mAwAAAACwWqvi5THHHJOysrL3HPfiiy+u94QAAAAAAJJWxsvbb799jW1vvfVWnn322fz0pz/N22+/nXPPPfcDmxwAAAAA8NHVqnh5yCGHrHXfCSeckMGDB2fmzJk5/PDD2zwxAAAAAOCj7QN7Yc9mm22Wz3/+8/n5z3/+vsb/+Mc/zkEHHZSdd945O++8cwYMGJC77rqrtL+5uTkTJkxIjx490rlz5wwdOjTz5s1rcYympqaMHj06NTU1qampyejRo9PU1NRizKOPPpohQ4akc+fO2WOPPVJXV5fm5ua2nzAAAAAAsEF9oG8bf+mll/Lyyy+/r7E77bRTvvvd7+Yvf/lLpk+fnsMOOywnnHBCHnnkkSTJZZddliuvvDJ1dXWZNm1aKisrM3z48Lz66qulY4waNSpz585NQ0NDGhoaMnfu3Jx00kml/a+88kqGDx+eqqqqTJs2LRdccEEuv/zyXHHFFR/kaQMAAAAAG0Crbht/7rnn3nX7yy+/nFmzZuXyyy/PgQce+L6ONXTo0BZ//853vpPrr78+999/f3r16pX6+vqcfvrpGTZsWJKkvr4+tbW1aWhoyMiRI/PEE09k6tSpufPOO9OnT58kyaWXXprBgwdn/vz5qa2tzaRJk7Jy5crU19envLw8PXv2zJNPPpmrrroqp5566vt6+RAAAAAA0D5aFS8//elPrzX4NTc3Z//998+ll17a6km89dZbufXWW7NixYr06dMnCxYsyKJFi3LkkUeWxpSXl+eggw7KnDlzMnLkyDQ2NmabbbbJAQccUBrTt2/fdOjQIXPmzEltbW0aGxtz4IEHpry8vDSmf//++f73v58FCxake/furZ4rAAAAALBxtCpeXnHFFWvEy7KyslRUVGSXXXZJjx49WvXhjz76aAYOHJhVq1alQ4cO+cUvfpFevXplzpw5SZLKysoW4ysrK7Nw4cIkyeLFi9OpU6cW8ykrK8uOO+6YxYsXl8bstNNOaxxj9b51xcv58+e36lyKa+v2ngDr8OH5Pfsws4aKzBqiPfi9g7axhmD9WT/QNtZQcdXW1q51X6vi5QknnNDmybxTbW1tZsyYkVdeeSW33XZbTj755EyZMuUD/Yz1ta4vbZMy83/bewasw4fm9+zDzBoqNGuIjW31o2mA9WMNwfqzfqBtrKFNV6vi5WpvvfVWHnrooTz77LNJkpqamuyzzz7ZbLPWvf9nq622yic/+ckkyT777JMHHnggV111VcaNG5ckWbJkSXbeeefS+CVLlqSqqipJUlVVlWXLlqW5ubl09WVzc3OWLl3aYsySJUtafObqv68eAwAAAAAUU6vfNn7zzTdnzz33zFFHHZWRI0dm5MiROeqoo9KrV6/ccsstbZrM22+/nTfeeCPdunVLdXV1pk+fXtq3atWqzJ49u/SMyz59+mT58uVpbGwsjWlsbMyKFStajJk9e3ZWrVpVGjN9+vR06dIl3bp1a9NcAQAAAIANq1VXXt5xxx0ZNWpUdtttt5xxxhnZbbfdkiRPPvlkfvKTn2TUqFH52Mc+liFDhrznsc4777wMHDgwXbt2zfLly9PQ0JCZM2fmt7/9bcrKynLyySfnkksuSW1tbXbddddcfPHF6dChQ0aMGJEk2X333XPUUUdl7NixmThxYpJk7NixGTRoUOky4BEjRqSuri5jxozJuHHj8tRTT2XixIk566yzvGkcAAAAAAquVfHyhz/8YfbZZ5/8/ve/z8c//vHS9sMPPzwnnnhijj766Fx88cXvK14uWrQoo0ePzuLFi7PddtulV69eaWhoSP/+/ZMkp512WlauXJkzzzwzTU1N2XfffXPzzTdn2223LR3juuuuy1lnnZVjjz02STJ48OBceOGFpf0dO3bMLbfcknHjxqVfv36pqKjIKaecklNPPbU1pw0AAAAAtINWxct58+bl3HPPbREuV/vYxz6W448/Pt/97nff17Hq6+vXub+srCxnn312zj777LWOqaioyLXXXrvO4/Tq1St/+MMf3tecAAAAAIDiaNUzL8vLy7Ns2bK17l+6dGnKy8vbPCkAAAAAgFbFy8MPPzzXXHNNZs2atca+++67L9dee22OOOKID2puAAAAAMBHWKtuG//ud7+b2bNn55hjjsnee+9dejHO/Pnz89BDD6W6ujrnnXfehpgnAAAAAPAR06orL2tqajJz5sx84xvfyPLlyzN58uRMnjw5y5cvz5gxYzJjxozU1NRsqLkCAAAAAB8hrbrycsWKFVm5cmV+8IMf5Ac/+MEa+5977rm89tpr2XrrrT+wCQIAAAAAH02tuvLynHPOyZe+9KW17j/hhBPyne98p82TAgAAAABoVbycPn16jjnmmLXuP+aYY/KnP/2pzZMCAAAAAGhVvFy0aFG6dOmy1v3V1dV54YUX2jwpAAAAAIBWxcsdd9wxjz/++Fr3P/744+nYsWObJwUAAAAA0Kp4OWDAgNx4443529/+tsa+Bx54IDfeeGMGDBjwgU0OAAAAAPjoatXbxs8+++zcfffdGTBgQAYMGJA99tgjSfLYY49l6tSpqaqqyre+9a0NMlEAAAAA4KOlVfGyuro606dPz7nnnps77rgjd955Z5Jk2223zRe+8IWce+65qa6u3iATBQAAAAA+WloVL5Okqqoq9fX1aW5uztKlS5P861mYZWVlH/jkAAAAAICPrlbHy9XKyspSWVn5Qc4FAAAAAKCkVS/sAQAAAADYWMRLAAAAAKCQxEsAAAAAoJDESwAAAACgkMRLAAAAAKCQxEsAAAAAoJDESwAAAACgkMRLAAAAAKCQxEsAAAAAoJDESwAAAACgkMRLAAAAAKCQxEsAAAAAoJDESwAAAACgkMRLAAAAAKCQxEsAAAAAoJDESwAAAACgkMRLAAAAAKCQxEsAAAAAoJDESwAAAACgkMRLAAAAAKCQxEsAAAAAoJDESwAAAACgkMRLAAAAAKCQxEsAAAAAoJDESwAAAACgkMRLAAAAAKCQxEsAAAAAoJDESwAAAACgkMRLAAAAAKCQxEsAAAAAoJDESwAAAACgkMRLAAAAAKCQxEsAAAAAoJDESwAAAACgkMRLAAAAAKCQxEsAAAAAoJDESwAAAACgkMRLAAAAAKCQxEsAAAAAoJDESwAAAACgkMRLAAAAAKCQxEsAAAAAoJDESwAAAACgkMRLAAAAAKCQxEsAAAAAoJDESwAAAACgkMRLAAAAAKCQxEsAAAAAoJDESwAAAACgkMRLAAAAAKCQxEsAAAAAoJDESwAAAACgkMRLAAAAAKCQxEsAAAAAoJDESwAAAACgkMRLAAAAAKCQxEsAAAAAoJDESwAAAACgkMRLAAAAAKCQxEsAAAAAoJDESwAAAACgkMRLAAAAAKCQxEsAAAAAoJDESwAAAACgkMRLAAAAAKCQxEsAAAAAoJDESwAAAACgkMRLAAAAAKCQxEsAAAAAoJDESwAAAACgkMRLAAAAAKCQ2i1eXnLJJenXr1923nnnfOpTn8rxxx+fxx57rMWY5ubmTJgwIT169Ejnzp0zdOjQzJs3r8WYpqamjB49OjU1Nampqcno0aPT1NTUYsyjjz6aIUOGpHPnztljjz1SV1eX5ubmDX6OAAAAAMD6a7d4OXPmzHzta1/LXXfdlcmTJ2eLLbbI5z73ubz00kulMZdddlmuvPLK1NXVZdq0aamsrMzw4cPz6quvlsaMGjUqc+fOTUNDQxoaGjJ37tyc9P+xd+9RWpWF/sC/A6JcTIerIBdRQQQSKVLMSydDTWx5iTDR8pgn0xOiZhqmgeYp7/46eQMzlY6hchQVUY9WOhwVUekmKKhQKEIQojAmKnGZ+f3halZzQBQ09n7p81mLtWaevRu+r82e2XzfZz/PKac0HP/LX/6SL37xi+nQoUNqampy6aWX5pprrsm11167WV8vAAAAALBxtirqL7777rsbff6Tn/wk3bp1y1NPPZXBgwenvr4+Y8eOzbe+9a0ceeSRSZKxY8emZ8+emThxYk488cS8+OKLefjhh/PQQw9l7733TpL853/+ZwYPHpy5c+emZ8+eufPOO/POO+9k7NixadGiRfr06ZM5c+ZkzJgxGTFiRKqqqjb7awcAAAAA3l9p1rxcsWJF6urqUl1dnSSZP39+lixZks997nMN57Ro0SL77rtvnn766STJ9OnTs+2222bgwIEN5+yzzz5p1apVo3M+/elPp0WLFg3nDBo0KIsXL878+fM3x0sDAAAAADZBYTMv/6/vfve72WOPPRpmUC5ZsiRJ0r59+0bntW/fPosXL06SvPrqq2nbtm2j2ZNVVVVp165dXn311YZzdtxxx3W+xt+Ode/efb155s6d++FfVCm0LDoAG7DlfJ9tyVxDZeYaogi+7+DDcQ3BpnP9wIfjGiqvnj17vuexUpSX5513Xp566qk89NBDadq0adFxkmz4P1pFmfqnohOwAVvM99mWzDVUaq4hNre/LUsDbBrXEGw61w98OK6hylX4Y+Pnnntu7rrrrkyePLnRLMgddtghSbJ06dJG5y9dujQdOnRIknTo0CGvv/56o53D6+vr89prrzU6Z31f42/HAAAAAIByKrS8POeccxqKy912263RsZ122ik77LBDpkyZ0jC2cuXKPPnkkw1rXO69995ZsWJFpk+f3nDO9OnT89ZbbzU658knn8zKlSsbzpkyZUo6deqUnXba6R/58gAAAACAD6Gw8vLss8/Obbfdlp/+9Keprq7OkiVLsmTJkqxYsSLJu2tXfvOb38xVV12VyZMnZ/bs2Rk+fHhatWqVoUOHJkl69eqVgw46KGeeeWamT5+e6dOn58wzz8znP//5hqnAQ4cOTYsWLTJ8+PDMnj07kydPzo9//OMMHz7cTuMAAAAAUGKFrXl54403JkmOPPLIRuPnnHNOzj333CTJGWeckXfeeSff+c53UltbmwEDBuTuu+/Oxz72sUZfZ+TIkfnSl76UJBk8eHAuv/zyhuPbb7997rnnnpx99tk58MADU11dnVNPPTUjRoz4R79EAAAAAOBDKKy8rK2tfd9zqqqqcu655zaUmetTXV2dG264YYNfp2/fvnnwwQc3OiMAAAAAUJzCN+wBAAAAAFgf5SUAAAAAUErKSwAAAACglJSXAAAAAEApKS8BAAAAgFJSXgIAAAAApaS8BAAAAABKSXkJAAAAAJSS8hIAAAAAKCXlJQAAAABQSspLAAAAAKCUlJcAAAAAQCkpLwEAAACAUlJeAgAAAAClpLwEAAAAAEpJeQkAAAAAlJLyEgAAAAAoJeUlAAAAAFBKyksAAAAAoJSUlwAAAABAKSkvAQAAAIBSUl4CAAAAAKWkvAQAAAAASkl5CQAAAACUkvISAAAAACgl5SUAAAAAUErKSwAAAACglJSXAAAAAEApKS8BAAAAgFJSXgIAAAAApaS8BAAAAABKSXkJAAAAAJSS8hIAAAAAKCXlJQAAAABQSspLAAAAAKCUlJcAAAAAQCkpLwEAAACAUlJeAgAAAAClpLwEAAAAAEpJeQkAAAAAlJLyEgAAAAAoJeUlAAAAAFBKyksAAAAAoJSUlwAAAABAKSkvAQAAAIBSUl4CAAAAAKWkvAQAAAAASkl5CQAAAACUkvISAAAAACgl5SUAAAAAUErKSwAAAACglJSXAAAAAEApKS8BAAAAgFJSXgIAAAAApaS8BAAAAABKSXkJAAAAAJSS8hIAAAAAKCXlJQAAAABQSspLAAAAAKCUlJcAAAAAQCkpLwEAAACAUlJeAgAAAAClpLwEAAAAAEpJeQkAAAAAlJLyEgAAAAAoJeUlAAAAAFBKyksAAAAAoJSUlwAAAABAKSkvAQAAAIBSUl4CAAAAAKWkvAQAAAAASkl5CQAAAACUkvISAAAAACgl5SUAAAAAUErKSwAAAACglJSXAAAAAEApKS8BAAAAgFJSXgIAAAAApaS8BAAAAABKaauiAwAAW67qcX8qOsJHrGUydct5TbUndi46AgAAbJCZlwAAAABAKSkvAQAAAIBSUl4CAAAAAKWkvAQAAAAASqnQ8vKJJ57IsGHD0rt371RXV+fWW29tdLy+vj6XXHJJdt9993Ts2DFf+MIX8vzzzzc6p7a2NieffHK6deuWbt265eSTT05tbW2jc2bNmpXDDjssHTt2TO/evXPZZZelvr7+H/76AAAAAIBNV2h5+dZbb6VPnz659NJL06JFi3WOX3XVVbnuuuty2WWXpaamJu3bt88Xv/jFvPnmmw3nnHTSSZk5c2YmTpyYiRMnZubMmTnllFMajv/lL3/JF7/4xXTo0CE1NTW59NJLc8011+Taa6/dLK8RAAAAANg0WxX5lx9yyCE55JBDkiTDhw9vdKy+vj5jx47Nt771rRx55JFJkrFjx6Znz56ZOHFiTjzxxLz44ot5+OGH89BDD2XvvfdOkvznf/5nBg8enLlz56Znz5658847884772Ts2LFp0aJF+vTpkzlz5mTMmDEZMWJEqqqqNu+LBgAAAAA+kNKueTl//vwsWbIkn/vc5xrGWrRokX333TdPP/10kmT69OnZdtttM3DgwIZz9tlnn7Rq1arROZ/+9KcbzewcNGhQFi9enPnz52+mVwMAAAAAbKxCZ15uyJIlS5Ik7du3bzTevn37LF68OEny6quvpm3bto1mT1ZVVaVdu3Z59dVXG87Zcccd1/kafzvWvXv39f79c+fO/UheR/FaFh2ADdhyvs+2ZK6hMnMNVQLXUJm5hiiC7zvYdK4f+HBcQ+XVs2fP9zxW2vKyaBv6j1ZRpv6p6ARswBbzfbYlcw2VmmuoAriGSs01xOb2t6WdgI3n+oEPxzVUuUr72PgOO+yQJFm6dGmj8aVLl6ZDhw5Jkg4dOuT1119vtHN4fX19XnvttUbnrO9r/O0YAAAAAFBOpS0vd9ppp+ywww6ZMmVKw9jKlSvz5JNPNqxxuffee2fFihWZPn16wznTp0/PW2+91eicJ598MitXrmw4Z8qUKenUqVN22mmnzfRqAAAAAICNVWh5uWLFisycOTMzZ85MXV1dFi5cmJkzZ2bBggWpqqrKN7/5zVx11VWZPHlyZs+eneHDh6dVq1YZOnRokqRXr1456KCDcuaZZ2b69OmZPn16zjzzzHz+859vmAo8dOjQtGjRIsOHD8/s2bMzefLk/PjHP87w4cPtNA4AAAAAJVbompe///3vc/jhhzd8fskll+SSSy7Jsccem7Fjx+aMM87IO++8k+985zupra3NgAEDcvfdd+djH/tYw//mxhtvzMiRI/OlL30pSTJ48OBcfvnlDce333773HPPPTn77LNz4IEHprq6OqeeempGjBix+V4oAAAAALDRqmpra+vf/zQqVfU4GyWUWe2JnYuOwPtwDZWba6j8XEPl5hpic7NZAmw61w98OK6hylXaNS8BAAAAgH9uyksAAAAAoJSUlwAAAABAKSkvAQAAAIBSUl4CAAAAAKWkvAQAAAAASkl5CQAAAACUkvISAAAAACgl5SUAAAAAUErKSwAAAACglJSXAAAAAEApKS8BAAAAgFJSXgIAAAAApaS8BAAAAABKSXkJAAAAAJSS8hIAAAAAKCXlJQAAAABQSspLAAAAAKCUlJcAAAAAQCkpLwEAAACAUlJeAgAAAAClpLwEAAAAAEpJeQkAAAAAlJLyEgAAAAAoJeUlAAAAAFBKyksAAAAAoJS2KjoAAACwrupxfyo6wj9Ay2TqlvO6ak/sXHQEANjimXkJAAAAAJSS8hIAAAAAKCXlJQAAAABQSspLAAAAAKCUlJcAAAAAQCkpLwEAAACAUlJeAgAAAAClpLwEAAAAAEpJeQkAAAAAlJLyEgAAAAAoJeUlAAAAAFBKyksAAAAAoJSUlwAAAABAKSkvAQAAAIBSUl4CAAAAAKWkvAQAAAAASkl5CQAAAACUkvISAAAAACgl5SUAAAAAUErKSwAAAACglJSXAAAAAEApKS8BAAAAgFJSXgIAAAAApaS8BAAAAABKSXkJAAAAAJSS8hIAAAAAKCXlJQAAAABQSspLAAAAAKCUlJcAAAAAQCkpLwEAAACAUlJeAgAAAAClpLwEAAAAAEpJeQkAAAAAlJLyEgAAAAAoJeUlAAAAAFBKyksAAAAAoJSUlwAAAABAKSkvAQAAAIBSUl4CAAAAAKWkvAQAAAAASkl5CQAAAACUkvISAAAAACgl5SUAAAAAUErKSwAAAACglJSXAAAAAEApKS8BAAAAgFJSXgIAAAAApaS8BAAAAABKSXkJAAAAAJSS8hIAAAAAKCXlJQAAAABQSspLAAAAAKCUlJcAAAAAQCkpLwEAAACAUlJeAgAAAAClpLwEAAAAAEppq6IDAAAAwEetetyfio7wEWuZTN2yXlPtiZ2LjgBUADMvAQAAAIBS+qeZeXnjjTfm6quvzpIlS7L77rvnkksuyb777lt0LAAAAIDSMXu53P6ZZi7/U8y8vPvuu/Pd7343Z511Vh577LHsvffeOfroo7NgwYKiowEAAAAA7+Gfory87rrrctxxx+WEE05Ir169csUVV2SHHXbIzTffXHQ0AAAAAOA9VNXW1tYXHeIfadWqVenUqVNuuummHHXUUQ3jZ599dmbPnp3/+Z//KTAdAAAAAPBetviZl6+//nrWrl2b9u3bNxpv3759Xn311YJSAQAAAADvZ4svLwEAAACAyrTFl5dt27ZN06ZNs3Tp0kbjS5cuTYcOHQpKBQAAAAC8ny2+vNx6663Tv3//TJkypdH4lClTMnDgwIJSAQAAAADvZ6uiA2wOp556ak455ZQMGDAgAwcOzM0335w///nPOfHEE4uOBgAAAAC8h3+K8nLIkCFZtmxZrrjiiixZsiS9e/fOHXfckW7duhUdDQAAAAB4D1W1tbX1RYeADVm8eHGWLl2aurq6RuP9+/cvKBFUlrfffjvPPvvseq+jI444oqBUAGzJVq9enUMPPTTXX399evbsWXQcqFju42DT/eY3v8mjjz663uvn8ssvLygVm+KfYuYllWnGjBk55ZRTMmfOnNTXN+7Yq6qqsmzZsoKSQeX43//933z9619f7/XiOoL3t2rVqtTV1aV58+aNxleuXJkmTZpk6623LigZlFuzZs0yf/78VFVVFR0FKpb7ONh011xzTc4///zssssu6dixY6PfR343VR4zLymtAw88MG3atMnIkSPX+WGTxGP/8AHss88++cQnPpHzzz8/nTp1KjoOVJxjjz02++23X0aMGNFofMyYMZk6dWpuu+22gpJB+Y0eBXzmhQAAIABJREFUPTpJ8oMf/KDgJFCZ3MfBpuvbt2/OOOOMnHzyyUVH4SNg5iWl9eKLL+axxx5Ljx49io4CFeuVV17J7bff7oYXNtHTTz/dUMD8vQMPPDA/+tGPCkgElePtt9/OnXfemSlTpqR///5p2bJlo+Me2YMNcx8Hm+7NN9/MIYccUnQMPiJNig4A76VPnz5ZsmRJ0TGgog0cODBz584tOgZUrHfeeSdbbbXue71NmjTJihUrCkgElePFF19Mv379Ul1dnZdffjmzZ89u+PP8888XHQ9Kz30cbLovfelLefjhh4uOwUfEzEtKa/To0bngggsyatSo9OnTJ82aNWt0vHXr1gUlg8px4oknZvTo0fnzn/+cPn36rFPC2PgKNqxv376ZOHFizjvvvEbjd955Z3r37l1QKqgM999/f9ERoKK5j4NN17lz51xyySV5+umn07dv33Wun/+7JBDlZs1LSuvvy8m/X++yvr7eAtXwAW2o5Hcdwfv75S9/meOOOy5f/OIXc8ABByRJHnvssUyaNCnjx4/PoYceWnBCKL/XX389L730UvbYY49ss802RceBiuE+DjZdv3793vNYVVVVZsyYsRnT8GEpLymtqVOnbvD4/vvvv5mSQOV65ZVXNnjcxlfw/h5++OFceeWVmTlzZpJ3b4bPOuusHHzwwQUng3J78803M2LEiEyePDlVVVX53e9+l+7du+fMM89Mhw4dcu655xYdEUrNfRzAu5SXAADAR+6ss87Kc889lyuuuCKDBw/OE088ke7du+ehhx7KD37wgzzxxBNFRwQAKoA1Lym9xYsXZ+HChVm1alWj8f3226+gRFBZ1qxZk9/+9rfrvY6OPfbYglIBsKV78MEHM378+PTr16/REkC9evXK/PnzC0wGlcN9HGy6P/zhD7n33nvXe/1cd911BaViUygvKa3FixfnpJNOyrRp01JVVdWw1uXfWOMF3t+cOXMybNiwzJ8/P/X19WnatGnWrFmTZs2aZZtttnHTC+vRtWvXPPPMM2nbtm26dOnS6HfP/7VgwYLNmAwqS21tbdq0abPO+JtvvpkmTZoUkAgqi/s42HS/+MUv8q//+q/p169fnnnmmXzyk5/MSy+9lL/+9a/59Kc/XXQ8NpLyktI699xz07Rp0zz99NP53Oc+l4kTJ+bVV1/NJZdckosvvrjoeFARzj333PTv3z+PP/54evXqlccffzxvvPFGzjrrrIwaNaroeFBKl112WbbddtskyeWXX15wGqhcn/jEJ/I///M/GT58eKPxn/3sZxk4cGBBqaByuI+DTXfxxRfnnHPOybe//e106dIlP/nJT9KxY8eccsop2WuvvYqOx0ZSXlJaTzzxRO64447stttuqaqqSrt27bLPPvtkm222yUUXXZQDDzyw6IhQer/73e/ywAMPpFWrVmnSpEnWrFmT/v3758ILL8zIkSMzbdq0oiNC6Rx33HHr/RjYOOeff36+9KUv5YUXXsiaNWty3XXX5YUXXmj43QRsmPs42HR/+MMfMmTIkCTJVlttlbfffjvNmzfPyJEjc8wxx2TEiBEFJ2RjeF6D0lq5cmXDo0bV1dVZunRpknfXSZo1a1aR0aBi1NfXp2XLlkmStm3bZtGiRUmSzp0756WXXioyGlSc2traLF++vNEf4L0NHDgwv/jFL7Jq1arsvPPOeeyxx9KpU6f88pe/TP/+/YuOB6XnPg423bbbbpuVK1cmSTp27Jh58+YleXcd2dra2iKjsQnMvKS0evbsmblz52annXbKHnvskXHjxqVz58658cYb06lTp6LjQUXo3bt3nn322XTv3j0DBgzIVVddlaZNm+aWW27JzjvvXHQ8KL1XXnkl3/72tzN16tRGC73/bR1m6y/DhvXt2zfXX3990TGgIrmPg003YMCAPPXUU9l9991zyCGHZNSoUXnuuedy//33e2y8AlXV1tbWFx0C1ueOO+7I6tWr85WvfCXPPPNMhg4dmmXLlmWbbbbJ2LFjc9RRRxUdEUrvkUceyVtvvZUjjjgiL7/8cr785S9n7ty5adu2bcaNG5cDDjig6IhQaocffnjeeOONnHbaaenYseM6m/fsv//+BSWDyrF48eIsXbo0dXV1jcbNvoQNcx8Hm+7ll1/OihUr8vGPfzxvv/12Ro0alaeeeio9evTIRRddlK5duxYdkY2gvKRivP3225kzZ066du2atm3bFh0HKtby5ctTXV29wR2UgXd17tw5v/rVr9KnT5+io0DFmTFjRk455ZTMmTMn9fWN/8lh5jJsGvdxwD8jj41TWqtWrUpdXV2aN2+eJGnZsmX69++flStXZtWqVdl6660LTgiVqXXr1kVHgIqx0047NXpcHPjgvvWtb6Vz58656qqr1jtzGdh47uPgg5k6dWqSdZ+SmTp1aqqqqrLffvsVEYtNpLyktE444YTst99+6+wCdvPNN2fq1Km57bbbCkoG5TZs2LDccMMN2W677TJs2LANnjthwoTNlAoq0yWXXJILL7ww/+///b/ssssuRceBivLiiy/mscceS48ePYqOAhXDfRx8NM4777yMHDlynfE333wzl156aR599NECUrGplJeU1tNPP53Ro0evM37ggQfmRz/6UQGJoDK0adOmYXZLmzZtCk4Dle0rX/lK/vrXv+ZTn/pUttlmm2y1VeNbpwULFhSUDMqvT58+WbJkifISNoL7OPho/OEPf8jHP/7xdcZ79+6dP/zhDwUk4sNQXlJa77zzzjr/SEySJk2aZMWKFQUkgsowZsyY9X4MbLzLL7+86AhQUZYvX97w8ejRo3PBBRdk1KhR6dOnT5o1a9boXI+/wrrcx8FHo3nz5lmyZEm6d+/eaHzx4sXr/D6i/GzYQ2kddNBB+dznPpfzzjuv0fgPf/jDPPLII5kyZUpByaByvfPOO3n66aezyy67pFu3bkXHAWAL07p160ZrW/5to57/O2bDHth47uPgg/vGN76RhQsX5vbbb091dXWSd99gO+6447LjjjvmpptuKjghG8PMS0pr5MiROe644/LSSy/lgAMOSJI89thjmTRpUsaPH19wOqgM3/zmNzNgwICcdNJJWbVqVQYNGpTnn38+W2+9dcaPH5+DDz646IhQMZYsWbLO5j1du3YtKA2U03333Vd0BNhiuI+DTfeDH/wghx12WPr165e+ffsmSWbNmpV27drl5ptvLjgdG8vMS0rt4YcfzpVXXpmZM2cmSfr165ezzjrLL2r4gHr16pX//u//Tv/+/XPvvfdm1KhRqampyfjx43P//ffnkUceKToilNobb7yRc845J5MmTVrvruNmjsF7W7BgQbp06bLOLuP19fVZuHCh8h/eh/s4+HDefvvt3HnnnXn22WeTvNsnDB06NC1btiw4GRtLeQmwBdthhx3yu9/9Lp07d85pp52W7bbbLhdddFHmz5+f/fbbLwsXLiw6IpTa6aefnt/97ne58MILc/zxx+faa6/NokWLcv311+eiiy7KkUceWXREKK02bdrkxRdfTPv27RuNL1u2LD169FD+w/twHwfwLo+NA2zBOnTokOeffz4dO3ZMTU1NfvzjHydJ3nrrrfVuiAU09vDDD+fGG2/Mvvvum6ZNm6Z///4ZMmRIOnbsmHHjxikvYQP+trbl/7VixYo0b968gERQWdzHwcaZPHlyBg8enGbNmmXy5MkbPPeII47YTKn4KPiJR6l07do1zzzzTNq2bbvex4z+3oIFCzZjMqhMX/3qV/Nv//Zv6dixY5o0aZJ/+Zd/SZL85je/yW677VZwOii/N954o+HR1u222y7Lli3LLrvskr322iunn356wemgnEaOHJnk3U16LrzwwrRo0aLhWF1dXX77299mjz32KCoeVAz3cbBxTjjhhMyZMyft27fPCSec8J7n2TSu8igvKZXLLrss2267bZLk8ssvLzgNVL5zzjknu+++exYuXJijjjoqW2+9dZJkq622yhlnnFFwOii/7t275+WXX07Xrl2z22675a677sqAAQNy3333pXXr1kXHg1KaPXt2kndnXs6ZMyfNmjVrOLb11ltnzz33zGmnnVZUPKgYG7qPO/XUUwtOB+WzfPny9X5M5bPmJaW0Zs2a1NTU5FOf+lTatGlTdBwA/kldd911adq0af793/89jz76aIYNG5bVq1enrq4ul156aU4++eSiI0JpDR8+POedd16WLl2aJNl5551TXV1dcCqoXIsWLcqtt96a8ePHZ8GCBWaOwXtYvXp1Tj755Jx//vnZeeedi47DR0B5SWntsMMOmT59enbaaaeio0BFW7NmTX77299m4cKF6+yWfOyxxxaUCirTK6+8kmeeeSa77rpr+vbtW3QcKK0FCxbk7LPPzsMPP5z6+nf/uVFVVZWDDz44V1xxhZ3G4QNau3ZtHnjggYwfPz41NTXp27dvhgwZkiOPPDLdu3cvOh6U1k477ZRHH33UdbKFUF5SWoMGDcro0aPz2c9+tugoULHmzJmTYcOGZf78+amvr0/Tpk2zZs2aNGvWLNtss421YwH4yC1atCif+9zn0qRJk3z9619Pr169kiQvvPBCbrrppiRJTU1NOnXqVGRMKLW5c+fmlltuyYQJE9KyZcscffTR+fGPf5ypU6dm9913LzoelN6IESPSq1cvy5RsIZSXlNavfvWrfP/738+5556b/v37p1WrVo2OW2sM3t+XvvSlbL/99rnmmmvSq1evPP7443njjTdy1llnZdSoUTnwwAOLjgild//99+e6667Liy++mCTp1atXhg8fnsMPP7zgZFBOZ5xxRl544YVMmjSp0WY9SfL2229nyJAh2X333Rt2TgYaGzx4cGbPnp0jjjgixxxzTPbff/8kSbt27ZSX8AFdeumlGTNmTPbbb7984hOfSMuWLRsdHzFiREHJ2BTKS0rr78vJv991vL6+3u5g8AHtvPPOeeCBB9KnT59069YtjzzySHr27JmpU6dm5MiRmTZtWtERodSuueaa/OAHP8iwYcOy1157JUl+/etf54477sj3vvc97+bDevTp0yc33HBDQ+Hyfz3++OM55ZRTGjb2ARpr27ZtTjrppHzta19L7969G8aVl/DB9evX7z2PVVVVZcaMGZsxDR+W3cYprfvuu6/oCFDx6uvrG95lbNu2bRYtWpSePXumc+fOeemllwpOB+V37bXX5oorrsgJJ5zQMHb88cdnwIABufjii5WXsB6vvfbaBjdI2GWXXfLaa69txkRQWWpqavLzn/88hx56aLp165Zhw4Zl6NChRceCijJz5syiI/ARUl5SWu/1bj3wwfXu3TvPPvtsunfvngEDBuSqq65K06ZNc8stt9h5Dz6At956KwcccMA64wcccEDeeuutAhJB+bVv3z7z5s1L586d13v8j3/8Y9q3b7+ZU0Hl2HPPPbPnnnvmhz/8YSZNmpTx48fnggsuSF1dXX75y1+mY8eOqa6uLjomVIxXX3017dq1S5MmTYqOwiby/xylNmvWrHznO9/J0KFD8+c//znJu2uPmeINH8zZZ5/dsMvrqFGjsnDhwhx++OGpqanJZZddVnA6KL/DDjss99577zrjkydPzuDBgwtIBOV30EEH5aKLLspf//rXdY6tXLkyF198cQ4++OACkkFlad68eYYNG5b7778/06dPz+mnn54xY8Zkt912MxMT3sfq1atz/vnnp0uXLundu3deeeWVJMkFF1yQG2+8seB0bCxrXlJaNTU1OfbYY3PQQQflV7/6VaZPn57u3bvnmmuuyZNPPpnbbrut6IhQkZYvX57q6upGa8kC6/e3xd4/9alPNax5+Zvf/Ca//vWvc+qppzbaTM7C7/CuxYsX58ADD0zTpk3zjW98Iz179kySvPjii7npppuyZs2aTJkyJTvuuGPBSaHyrF27Ng899FDGjx+f22+/veg4UFo//OEPM3ny5FxwwQX5xje+kWnTpqV79+659957c9VVV6WmpqboiGwE5SWlNWjQoBx77LE56aST0qVLl0ydOjXdu3fPM888k2HDhuWFF14oOiKU3pIlS7JmzZp1Ht3705/+lGbNmqVDhw4FJYPKsKHF3v+ehd+hsfnz5+fss8/OI4880vAEQFVVVQYNGpQrrrgi3bt3LzYgAFu0/v3759prr83+++/fqE+YO3duBg0a1DATk8pgzUtK6/nnn1/vI0XV1dVZvnx5AYmg8px88skZMmRIo81GkuSRRx7JPffck3vuuaegZFAZLPYOm2annXbKnXfemdra2vzxj39M8u5GPa1bty44GQD/DP785z+na9eu64yvWbMma9euLSARH4Y1Lymt1q1bZ/HixeuMz5gxw2NG8AH9/ve/z7777rvO+L777pvf//73BSSCyjdv3rysXLmy6BhQEaqrqzNgwIAMGDBAcQnAZrP77rtn2rRp64zfc8892XPPPQtIxIdh5iWlNXTo0Jx//vkZN25cqqqqsmbNmkydOjWjR4/OV77ylaLjQUVYu3bte26YsGrVqgISQWX5j//4j/To0SPHHXdc6uvrc9RRR+Wxxx7Ldtttl4kTJzasgwkAQHmcc845OeWUU/KnP/0pa9euzaRJkzJnzpxMnDgxd9xxR9Hx2EhmXlJao0aNyk477ZQ99tgjK1asyMCBA3PEEUdkn332ydlnn110PKgIAwYMyM0337zO+I033phPfOITBSSCynLHHXc0bDbyq1/9Ks8991wefvjhDBs2LBdeeGHB6QAAWJ/Bgwdn3LhxqampSZMmTXLZZZdl3rx5mTBhQj772c8WHY+NZMMeSu+ll17KzJkzU1dXl379+mXXXXctOhJUjF//+tc54ogj0q9fvxxwwAFJkscffzwzZ87MpEmTMnDgwIITQrntsMMO+d3vfpfOnTvnO9/5Turr63PllVdm3rx5+exnP2uxdwAA+Afz2Dilt/POO2fnnXcuOgZUpL322iu//OUvc8011+T+++9P8u7uyVdeeWX22GOPgtNB+bVp0yYLFixI586dU1NTkwsuuCDJu4u9AwBQfitXrkxdXV2jsZYtWxaUhk2hvKTU7rvvvjz++ON57bXX1vlh87Of/ayYUFBh9thjj9xwww1Fx4CKdPjhh+ekk05Kjx49snz58gwaNChJ8uyzz3pjDQCgpF555ZWcc845mTp1at566611ji9btqyAVGwq5SWl9b3vfS833HBDBg4cmA4dOqRp06ZFR4KKs3z58g0et/MrbNjFF1+crl27ZuHChbnwwgvTqlWrJMmf//znfP3rXy84HQAA63PKKadk5cqVueyyy9KhQ4dUVVUVHYkPwZqXlNYuu+ySa665Jl/4wheKjgIVq3Xr1hv8Re0dRwAAYEvztyV/evXqVXQUPgJmXlJaLVu2zG677VZ0DKho9913X6PP16xZk5kzZ+amm27KqFGjCkoF5fbMM8+kX79+adKkSZ555pkNntu/f//NlAoAgA/q4x//eF577TXl5RbCzEtK68Ybb8wzzzyTH//4x9lqKz07fJTuvffe/PznP8/EiROLjgKl07p168yZMyft27dvmL1cX7/u7VJVVZXZywAAJfT888/nnHPOySmnnJI+ffqs0yl07dq1oGRsCo0QpXXCCSfkoYceSu/evdOjR491ftj83xllwAfXr1+/TJs2regYUEozZsxIu3btGj4GAKCy1NXVZenSpfnqV7/aaBmt+vp6b0BXIOUlpXXmmWfmqaeeyqBBg9KhQ4ei48AWY8WKFRkzZkw6d+5cdBQopW7dumXBggVJYnF3AIAK9M1vfjPt2rXLhAkTbNizBfDYOKXVuXPnjB8/PgceeGDRUaBidenSZZ13Gt9+++20atUqN9xwQwYPHlxgOiiv99vsyrv2AADl1alTpzz++OPp0aNH0VH4CJh5SWm1bds2nTp1KjoGVLTLL7+80edNmjRJu3bt8qlPfSrV1dUFpYLymzJlSsPH9fX1+cIXvpCf/vSnZiwDAFSAT37yk5k/f77ycgth5iWldfvtt+fBBx/MmDFjsu222xYdB4B/Yl26dMnUqVPTvXv3oqMAAPA+7r777lx66aUZMWLEejfs6d+/f0HJ2BTKS0pr3333zSuvvJK6urp06dJlnR82NhuBjbNkyZKsWrWq0Zhd9uCDUV4CAFSO1q1bv+cxS/9UHo+NU1pHHHFE0RGg4r3xxhs555xzMmnSpHWKyyR+aQMAAFucGTNmFB2Bj5DyktL67ne/W3QEqHijR4/Oc889l1tvvTXHH398rr322ixatCjXX399LrrooqLjAQAAfOS6dev2nsf+93//d4PHKR/lJRVlwYIFGT9+fG699dY899xzRceB0nv44Ydz4403Zt99903Tpk3Tv3//DBkyJB07dsy4ceNy5JFHFh0RSmnYsGGNPl+5cmXOOOOMtGjRotH4hAkTNmcsAAA2waJFi3Lrrbdm/PjxWbBggSfQKozyktJbvXp1Hnjggdxyyy159NFH06NHjxx33HFFx4KK8MYbbzSsa7nddttl2bJl2WWXXbLXXnvl9NNPLzgdlFebNm0aff7lL3+5oCQAAGyKtWvX5oEHHsj48eNTU1OTvn375t/+7d9M4KhAyktK64UXXsgtt9ySO+64I82bN8/ixYszYcKEHHzwwUVHg4rRvXv3vPzyy+natWt222233HXXXRkwYEDuu+++DS5iDf/sxowZU3QEAAA2wdy5c3PLLbdkwoQJadmyZY4++ujU1NTkJz/5SXbfffei47EJmhQdAP6vW265JQcddFAOPvjg1NbW5uabb87MmTNTVVVlZ2TYSMcdd1xmzZqVJPnWt76Vn/3sZ2nfvn1Gjx6dM844o+B0AAAAH53BgwfnoIMOSm1tbcaNG5cZM2Zk1KhRRcfiQ6qqra2tLzoE/L22bdvmzDPPzNlnn53mzZs3jLdr1y5Tp071Tgl8CAsWLMjvf//79OjRI3369Ck6DgAAwEembdu2Oemkk/K1r30tvXv3bhjXJ1Q2My8pna9//eu5+eabM3jw4Fx//fV57bXXio4EFedXv/pV9thjj/zlL39pNN61a9f8y7/8S4455phMmTKloHQAAAAfvZqamqxduzaHHnpoDjjggFx33XVZsmRJ0bH4kJSXlM7ll1+eF154IaeeemoefPDB9O3bN1/+8pdTX1+f1atXFx0PKsJPf/rTnH766dluu+3WObb99tvnW9/6VsaOHVtAMgAAgH+MPffcM1deeWVefPHFRp1CXV1dfvnLX6a2trboiGwCj41Tei+//HLGjx+f22+/PcuXL89BBx2Uo446KkOGDCk6GpRW3759M2nSpPTs2XO9x+fOnZsjjzwys2fP3szJAAAANp958+Y1bOCzbNmyfOYzn8nEiROLjsVGMPOS0uvevXtGjRqVZ599NuPGjcvatWvz7//+70XHglJ77bXX0qTJe/+Ir6qqyrJlyzZjIgAAgM1vl112yfe///3MmjUr48aNS7NmzYqOxEZSXlIRnnrqqaxevTqf//znc+uttzbsngys34477pjnnnvuPY/PmjUrnTp12oyJAAAAitO0adN84QtfyO233150FDaS8pKKcPTRR2fx4sUNn7dv377ANFB+hxxySC6++OK888476xx7++23c/HFF+eQQw4pIBkAAAB8cNa8pCJ06dIlU6dOTffu3YuOAhVh6dKl+cxnPpMmTZrkG9/4RsPal3PmzMlPf/rT1NfX59FHH02HDh0KTgoAAADvbauiAwDw0Wvfvn1+8Ytf5Kyzzsp//Md/pL7+3fepqqqqMmjQoFxxxRWKSwAAAErPzEsqwp133pnDDjssrVq1KjoKVJza2trMmzcv9fX12XXXXVNdXV10JAAAAPhAlJcAAAAAbFFmzZqVn/3sZ3nppZdy7bXXpmPHjrn//vvTtWvX7LnnnkXHYyN4bJzSWrlyZa6//vo8+uijWbp0aerq6hodnzZtWkHJAAAAgLKqqanJsccem4MOOiiPPfZYVq5cmSR56aWXctttt+W2224rOCEbQ3lJaZ111lm5//77c9RRR2XvvfdOVVVV0ZEAAACAkrvoooty0UUX5aSTTkqXLl0axg844IBcd911BSZjUygvKa0HHngg//Vf/5XPfvazRUcBAAAAKsTzzz+fgw8+eJ3x6urqLF++vIBEfBhNig4A76Vly5bp3Llz0TEAAACACtK6dessXrx4nfEZM2Zkxx13LCARH4byktI6/fTTc91116W+3p5SAAAAwAczdOjQnH/++fnTn/6UqqqqrFmzJlOnTs3o0aMzbNiwouOxkew2Tmkdc8wxefLJJ7Pddttl9913z1ZbNV7lYMKECQUlAwAAAMpq9erVGT58eO66667U19enSZMmqa+vz9ChQzN27Ng0bdq06IhsBOUlpTV8+PANHh8zZsxmSgIAAABUmpdeeikzZ85MXV1d+vXrl1133bXoSGwC5SUAAAAAW4z7778/n//859OsWbOio/ARUF4CAAAAsMXo1KlTmjdvnqOOOirHHHNM9tlnn6Ij8SEoLym18ePH56677srChQuzatWqRsdmzJhRUCoAAACgrN58883ce++9mThxYh5//PF06dIlRx99dL785S9nt912KzoeG8lu45TW1VdfnVGjRqV///555ZVX8oUvfCG9e/fO8uXL89WvfrXoeAAAAEAJfexjH8tXv/rVTJo0Kc8991y+8Y1v5OGHH84+++yTAw88sOh4bCQzLymtAQMG5Pzzz8+RRx6ZLl26ZOrUqenevXsuv/zyLFy4MFdffXXREQEAAICSW7VqVR588MFceeWVmTVrVpYtW1Z0JDaCmZeU1qJFi/LJT34ySdK8efP85S9/SZIMHTo0kydPLjIaAAAAUHKPPfZYTjvttPTs2TOnn3569txzz0yaNKnoWGykrYoOAO+lQ4cOef3119O1a9d07dqpRS+nAAALWklEQVQ1v/71r9OvX7/MmzcvVVVVRccDAAAASmj06NG5++67s3Tp0gwaNChXXXVVBg8enG222aboaGwC5SWl9ZnPfCYPPvhg+vfvn+OPPz7nnXde7rnnnsycOTNHHXVU0fEAAACAEpo+fXq+/e1vZ8iQIWndunXRcfiQrHlJadXV1aWuri5bbfVux3733XfnqaeeSo8ePXLiiSemWbNmBScEAAAA4B9JeQkAAABARZs8eXIGDx6cZs2ave8+GUccccRmSsVHQXlJad1www3Zfvvtc8wxxzQa/+///u+8+eabOemkkwpKBgAAAJRJ69atM2fOnLRv336Dj4pXVVXZbbzC2G2c0ho7dmw6d+68zni3bt0yZsyYAhIBAAAAZbR8+fK0b9++4eP3+qO4rDzKS0pr0aJF6dq16zrjO+64YxYtWlRAIgAAAKDsnnjiiaxZs2ad8bVr1+aJJ54oIBEfhvKS0urQoUOeffbZdcZnzJiRtm3bFpAIAAAAKLvDDz88y5cvX2f8jTfeyOGHH15AIj6MrYoOAO/l6KOPzne/+920atUq+++/f5Lk8ccfz3nnnZejjz664HQAAABAGdXX16eqqmqd8WXLlqVVq1YFJOLDUF5SWueee27mz5+fIUOGpGnTpkmSurq6HHXUUfne975XcDoAAACgTIYNG5bk3U15Tj755Gy99dYNx+rq6jJ79uzsvffeRcVjEykvKa1mzZrlpptuynnnndfw+Pgee+yRXXfdteBkAAAAQNm0adMmybszL6urq9O8efOGY1tvvXX22WefnHDCCUXFYxNV1dbW1hcdAgAAAAA+CpdeemlOO+00j4hvIZSXlMrIkSNzwQUXpFWrVhk5cuQGz7388ss3UyoAAAAAiuCxcUpl9uzZWb16dZJk1qxZ611gN8l7jgMAAACMHz8+d911VxYuXJhVq1Y1OjZjxoyCUrEplJeUyv3339/w8QMPPFBgEgAAAKASXX311fnRj36UE088MdOmTcvXv/71zJs3L9OmTctpp51WdDw2UpOiA8D6rF69Orvttluef/75oqMAAAAAFeS//uu/ctVVV+WCCy5Is2bNcvLJJ2fChAkZMWJEFixYUHQ8NpLyklJq1qxZmjVr5vFwAAAAYKMsWrQon/zkJ5MkzZs3z1/+8pckydChQzN58uQio7EJlJeU1sknn5wf/ehHWbNmTdFRAAAAgArRoUOHvP7660mSrl275te//nWSZN68eSZJVSBrXlJa06ZNy7Rp09K7d+/07t07LVu2bHR8woQJBSUDAAAAyuozn/lMHnzwwfTv3z/HH398zjvvvNxzzz2ZOXNmjjrqqKLjsZGqamtr64sOAeszfPjwDR4fM2bMZkoCAAAAVIq6urrU1dVlq63enbN3991356mnnkqPHj1y4oknplmzZgUnZGMoLymV22+/PUOGDMk222xTdBQAAAAACqa8pFTatGmTOXPmpF27dmnTpk1efPHFtG/fvuhYAAAAQMktX778A53XunXrf3ASPkrWvKRU2rVrl+nTp+ewww5LfX29hXQBAACAD2SXXXZ53x6hqqqqYTMfKoPyklI58cQT85WvfCVVVVWpqqrKbrvtts45fys1ly1bVkBCAAAAoIzuu+++9zz2yCOP5Prrr29YB5PK4bFxSuf555/PH//4xxx//PG56qqrsv3226/3vCOPPHIzJwMAAAAqyYwZM3L++efnySefzNe+9rWMHDky7dq1KzoWG0HdTOn07t07vXv3zjnnnJOhQ4emZcuWSZJFixbl1ltvzfjx47NgwQIzLwEAAID1evnll/PDH/4wkyZNyuGHH56nn346O++8c9Gx2ARmXlJqa9euzQMPPJDx48enpqYmffv2zZAhQ3LkkUeme/fuRccDAAAASmTZsmW57LLLMm7cuAwcODAXXnhhPvnJTxYdiw/BzEtKae7cufn5z3+e22+/PS1btszRRx+dmpqa/OQnP8nuu+9edDwAAACgZK688spcffXV6datW2677bYcdNBBRUfiI2DmJaUzePDgzJ49O0cccUSOOeaY7L///kne3Yl86tSpyksAAABgHa1bt06LFi1ywAEHbHDX8QkTJmzGVHxYZl5SOtOnT89JJ52Ur33ta+ndu3fRcQAAAIAKMGzYsA2WllQm5SWlU1NTk5///Oc59NBD061btwwbNixDhw4tOhYAAABQYmPHji06Av8AHhuntFauXJlJkyZl/Pjxeeqpp1JXV5fvf//7+dd//ddUV1cXHQ8AAACAfzDlJRVh3rx5ueWWWzJhwoQsW7Ysn/nMZzJx4sSiYwEAAADwD6S8pKKsXbs2Dz30UMaPH5/bb7+96DgAAAAA/AMpLwEAAACAUmpSdAAAAAAAgPVRXgIAAAAApaS8BAAAAABKSXkJAAAAAJSS8hIAAAAAKCXlJQAApfTWW28VHQEAgIIpLwEAKNwll1yS6urqzJ49OyeffHK6d++eT3/603nllVdy9tlnZ++9906nTp3SrVu3HHPMMZk1a9Y6X2PVqlW54oorstdee6VDhw7p2bNnjj322Dz//PMN59TX1+cnP/lJ9t133+ywww7p0aNHRowYkddff31zvlwAAD6grYoOAMD/b+9+QmF74ziOf/ynZuJayIKYGoqFZqGmKAtspDC7M9mIZrKiFKWwkDSRjQ1ZoEZh8i9ZjwWJDVOyxEqjRGehoSnjrky/+XG7XXHvWbxfdeo85/mep+fZfnrOcwAAb7q7u1VWVqaRkRHF43GdnZ3p6OhIbW1tKi0tVTQa1fLyslpbW3V8fKzi4mJJUiKRkGEYCofD6ujokN/vVywW08HBgSKRiKqqqiRJAwMDCgaD8nq98vl8urm50cLCgk5PTxUOh5Wbm/svlw8AAID/IbwEAACAZVRUVCgYDCbbT09Pam9vT6kxDENut1vBYFCDg4OSpNXVVYXDYY2Pj6uvry9Z29/fr9fXV0nSycmJlpaWNDc3J6/Xm6xpampSS0uL1tbW1NXV9Y2rAwAAwJ/is3EAAABYRk9PT0o7Ly8veR+LxfTw8CC73S6n06lIJJLs293dVUFBgXp7e9+NmZaWJkna3t6WzWZTc3Oz7u/vk1dlZaWKiop0cHDwTasCAADAZ7HzEgAAAJZRXl6e0n5+ftbk5KRCoZBub29T+goLC5P319fXcjqdys7O/uXYl5eXenx8VEVFxYf9d3d3n584AAAAvgXhJQAAACzjvzstJWloaEgrKyvy+/1yu93Kz89Xenq6hoeHlUgk/mjsRCKhwsJCLS4ufthfUFDw6XkDAADgexBeAgAAwLJ2dnZkGIYCgUDKc9M0U3ZeOhwOnZycKB6P/3L3pcPh0P7+vmpra2Wz2b513gAAAPganHkJAAAAy8rIyEj+cOfNxsaGotFoyrO2tjaZpqn5+fl3Y7y97/F4lEgkNDU19a7m5eVFpml+4cwBAADwFdh5CQAAAMt6+wu43W5XdXW1zs/PtbW19e5sTMMwFAqFNDY2prOzM9XV1en5+VmHh4fyeDwyDEP19fXy+XyanZ3VxcWFGhsblZOTo6urK+3u7mp4eFidnZ3/ZqEAAAD4EOElAAAALCsQCCgrK0vb29taWVmRy+XS5uamRkdHU+oyMjK0vr6umZkZbWxsaG9vTz9+/FBtba1cLleybnp6WjU1NVpaWtLExIQyMzNVUlKijo4ONTQ0/O3lAQAA4DfSTNN8/X0ZAAAAAAAAAPxdnHkJAAAAAAAAwJIILwEAAAAAAABYEuElAAAAAAAAAEsivAQAAAAAAABgSYSXAAAAAAAAACyJ8BIAAAAAAACAJRFeAgAAAAAAALAkwksAAAAAAAAAlkR4CQAAAAAAAMCSCC8BAAAAAAAAWNJPeozKHv+HFtUAAAAASUVORK5CYII=\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1440x720 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1440x720 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1440x720 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1440x720 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1440x720 with 1 Axes>"
            ],
            "image/png": 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z7LPP5rTTTlvj+gAAAACAdatBb07uueeemTVr1lq58NixY2v8+4Ybbkj79u0zbdq09OvXL9XV1Rk5cmTOOuusHHHEEUmSkSNHplOnThk9enROPvnkvPzyy5k0aVIeeOCBdO/ePUlyzTXXpF+/fpk1a1Y6deq0VmoFAAAAANa+Br05edVVV2XChAm555571nohS5YsycqVK0vTsd96663MnTs3Bx10UKlP8+bN06NHjzz55JNJkunTp2fzzTfP3nvvXeqzzz77pEWLFqU+AAAAAMCGqUFvTp500kn56KOPcvrpp+fss89O69at07hx4xp9ysrKMm3atAYXct5556Vr166lNyDnzp2bJKmoqKjRr6KiIu+++26SZN68edl6661TVlZW4/rbbLNN5s2b1+AaAAAAAID1p0Hh5DbbbJOKiorstNNOa7WI888/P9OmTcsDDzxQK+xcF9bW1PQ1s1nRBWyQNozvZkNjrNTFWNnw+Y6oL2OFhjBeqC9jhfoyVqgvY4X6MlZq+qJlFxsUTt53331rVExdhgwZkrFjx2b8+PHp2LFj6XhlZWWSZP78+WnXrl3p+Pz589OqVaskSatWrbJw4cJUV1eX3p6srq7OggULSn3qskGsRTl1TtEVbJA2iO9mQ2Os1MlY2bBZ95f6MlZoCOOF+jJWqC9jhfoyVqgvY6XhGrTm5No2ePDgjBkzJuPGjcvOO+9co61Dhw6prKzM5MmTS8eWLVuWJ554orTGZPfu3bNkyZJMnz691Gf69OlZunRpjXUoAQAAAIANT4PenHzsscfq1W+//fb7wj6DBg3K73//+9x5550pLy8vrTHZokWLbL755ikrK8sZZ5yRq6++Op06dcpOO+2Uq666Ki1atMgxxxyTJNlll11y8MEH5+yzz86IESOSJGeffXYOOeQQKTUAAAAAbOAaFE7279+/xuYzq/OPf/zjC/vcdNNNSZIjjjiixvHBgwdnyJAhSZIzzzwzH374Yc4999xUVVVlzz33zNixY7PFFlvUOM/Pf/7zHH300UmSfv365corr6z3PQEAAAAAxWhQODl+/Phax1asWJHZs2fntttuy8qVKzN06NB6nauqquoL+5SVlWXIkCGlsLIu5eXlufHGG+t1TQAAAABgw9GgcPKb3/zmatsGDhyYfv36ZerUqTnggAPWuDAAAAAAYOO21jbEadSoUb797W/njjvuWFunBAAAAAA2Ymt1t+733nsvixYtWpunBAAAAAA2Ug2a1v3222/XeXzRokV5/PHH8+tf/zr77rvvWikMAAAAANi4NSic3H333Ve7W3d1dXX22muvXHPNNWulMAAAAABg49agcPLaa6+tFU6WlZWlvLw822+/fTp37rxWiwMAAAAANl4NCicHDhy4ruoAAAAAAL5iGhROrrJixYo888wzmT17dpKkffv26datWxo1Wqv76wAAAAAAG7EGh5Njx47NBRdckLlz56a6ujrJp1O7Kysrc9lll+Woo45a60UCAAAAABufBoWT9913X0455ZTsvPPOOeecc7LzzjsnSV555ZXccsstOeWUU9KsWbMcdthh66RYAAAAAGDj0aBw8he/+EW6deuW+++/P5tuumnp+AEHHJCTTjophx56aK666irhJAAAAADwhRq0SOSLL76Y73znOzWCyVWaNWuW4447Li+++OJaKw4AAAAA2Hg1KJxs3rx5Fi5cuNr2BQsWpHnz5mtcFAAAAACw8WtQOHnAAQfkhhtuyOOPP16rbdq0abnxxhvTq1evtVUbAAAAALARa9CakxdffHGeeOKJ9O/fP1//+tfTqVOnJMmsWbPyzDPPpLKyMhdddNG6qBMAAAAA2Mg06M3J9u3bZ+rUqTn99NOzZMmSjBs3LuPGjcuSJUvy4x//OFOmTEn79u3XVa0AAAAAwEakQW9OLl26NB9++GEuu+yyXHbZZbXa33777XzwwQfZbLPN1lqBAAAAAMDGqUFvTp5//vk5/vjjV9s+cODAXHjhhWtcFAAAAACw8WtQODl58uT0799/te39+/fPQw89tMZFAQAAAAAbvwaFk3Pnzk3r1q1X215ZWZm///3va1wUAAAAALDxa1A4uc022+Sll15abftLL72ULbfcco2LAgAAAAA2fg0KJ/v06ZPf/va3+d///d9abU8//XR++9vfpk+fPmutOAAAAABg49Wg3bqHDBmSBx98MH369EmfPn3yta99LUnywgsvZNKkSWnVqlUuuOCCdVIoAAAAALBxaVA4WVlZmcmTJ2fo0KG577778sADDyRJtthii3znO9/J0KFDU1lZuU4KBQAAAAA2Lg0KJ5OkVatWGTlyZKqrq7NgwYIkn65FWVZWttaLAwAAAAA2Xg0OJ1cpKytLRUXF2qwFAAAAAPgKadCGOAAAAAAAa4twEgAAAAAohHASAAAAACiEcBIAAAAAKIRwEgAAAAAohHASAAAAAChEk6ILAGDtKL91TtElfMZmydQNo56qk9sWXQIAAACr4c1JAAAAAKAQwkkAAAAAoBDCSQAAAACgEMJJAAAAAKAQwkkAAAAAoBDCSQAAAACgEMJJAAAAAKAQwkkAAAAAoBDCSQAAAACgEMJJAAAAAKAQwkkAAAAAoBDCSQAAAACgEMJJAAAAAKAQwkkAAAAAoBDCSQAAAACgEMJJAAAAAKAQwkkAAAAAoBDCSQAAAACgEMJJAAAAAKAQwkkAAAAAoBDCSQAAAACgEMJJAAAAAKAQwkkAAAAAoBDCSQAAAP6/9u49Xss53x//q2IUodRqLSRJJRGLVIYpFI22SVJGchqGTOM0zGTLHttsY8s4jrFNY5zmIcygiWQbp+18NkNOQxpJadKJZWhKQ+v7h1/rZ02r3A267vR8Ph7r8bDuz+e+7/d13+/H5eq1rutzAUAhhJMAAAAAQCGEkwAAAABAIYSTAAAAAEAhhJMAAAAAQCGEkwAAAABAIYSTAAAAAEAhhJMAAAAAQCEKDScfe+yxDBs2LNtuu21atGiRG264od74yJEj06JFi3o/e++9d705H374YUaNGpUOHTpks802y7BhwzJr1qzVuRkAAAAAwL+g0HBy4cKF6dq1a84777w0a9aswTl77rlnpkyZUvdzyy231BsfPXp0Jk2alKuvvjp33nln3n///Rx88MH5+OOPV8cmAAAAAAD/onWKfPP+/funf//+SZLvf//7Dc5Zb731UllZ2eDYe++9l3HjxuXyyy/PXnvtlSS54oor0q1btzz44IPp16/fl1M4AAAAAPC5lf2ak0888UQ6duyY7t2756STTsq8efPqxiZPnpx//OMf6du3b91jbdu2zTbbbJOnnnqqiHIBAAAAgBIVeubkZ9l7770zcODAbLnllpkxY0bOOeec7L///nnwwQez3nrrZe7cuWnSpElatWpV73kVFRWZO3fuCl936tSpX3bpJVi/6ALKUnl8N+VGrzRErzRErzREr5Q/3xGrQr9QKr1CqfQKpdIrlEqv1NepU6eVjpd1ODlkyJC6/95uu+1SXV2dbt265e67787+++//L7/uZ30oq8WjbtrTkLL4bsqNXmmQXmmAXmmQXilvU6dO9R1RMv1CqfQKpdIrlEqvUCq9surK/rLuT9t0002z2WabZdq0aUmSNm3a5OOPP86CBQvqzZs3b17atGlTRIkAAAAAQInWqHBywYIFmT17dt0Ncqqrq7PuuuvmgQceqJsza9asTJkyJb169SqqTAAAAACgBIVe1v3BBx/UnQW5dOnSvPXWW3nhhRfSsmXLtGzZMuedd17233//VFZWZsaMGTn77LNTUVGRb33rW0mSjTfeOIcffnjOOuusVFRUpGXLlvmP//iPbLfddtlzzz0L3DIAAAAA4LMUGk4+99xzGThwYN3vY8aMyZgxY3LIIYfk4osvzp///Of87ne/y3vvvZfKysr07t071157bTbccMN6z2nSpEmOOuqoLF68OH369MmvfvWrNGnSpIhNAgAAAABKVGg42bt379TU1KxwfMKECZ/5Guutt14uuOCCXHDBBV9kaQAAAADAl2yNWnMSAAAAAPjqEE4CAAAAAIUQTgIAAAAAhRBOAgAAAACFEE4CAAAAAIUQTgIAAAAAhRBOAgAAAACFEE4CAAAAAIUQTgIAAAAAhRBOAgAAAACFEE4CAAAAAIUQTgIAAAAAhRBOAgAAAACFEE4CAAAAAIUQTgIAAAAAhRBOAgAAAACFEE4CAAAAAIUQTgIAAAAAhRBOAgAAAACFEE4CAAAAAIUQTgIAAAAAhRBOAgAAAACFEE4CAAAAAIUQTgIAAAAAhRBOAgAAAACFEE4CAAAAAIUQTgIAAAAAhRBOAgAAAACFEE4CAAAAAIUQTgIAAAAAhRBOAgAAAACFEE4CAAAAAIUQTgIAAAAAhRBOAgAAAACFEE4CAAAAAIUQTgIAAAAAhRBOAgAAAACFEE4CAAAAAIUQTgIAAAAAhRBOAgAAAACFEE4CAAAAAIUQTgIAAAAAhRBOAgAAAACFEE4CAAAAAIUQTgIAAAAAhRBOAgAAAACFEE4CAAAAAIUQTgIAAAAAhRBOAgAAAACFEE4CAAAAAIUQTgIAAAAAhRBOAgAAAACFEE4CAAAAAIUQTgIAAAAAhRBOAgAAAACFEE4CAAAAAIUQTgIAAAAAhRBOAgAAAACFEE4CAAAAAIUQTgIAAAAAhRBOAgAAAACFEE4CAAAAAIUQTgIAAAAAhRBOAgAAAACFKDScfOyxxzJs2LBsu+22adGiRW644YZ647W1tRkzZky6dOmSqqqq7LfffnnllVfqzampqcmIESPSrl27tGvXLiNGjEhNTc3q3AwAAAAA4F9QaDi5cOHCdO3aNeedd16aNWu23Pill16ayy+/PD/72c9y//33p6KiIoMHD877779fN+eYY47JCy+8kPHjx2f8+PF54YUXctxxx63OzQAAAAAA/gXrFPnm/fv3T//+/ZMk3//+9+uN1dbWZuzYsfnBD36QQYMGJUnGjh2bTp06Zfz48TnqqKMyZcqU3HfffbnrrrvSs2fPJMkll1ySAQMGZOrUqenUqdPq3SAAAAAAoGRlu+bkm2++mTlz5qRv3751jzVr1iy77bZbnnrqqSTJ008/nebNm6dXr151c3bddddssMEGdXMAAAAAgPJU6JmTKzNnzpwkSUVFRb3HKyoqMnv27CTJ3Llz06pVqzRq1KhuvFGjRmndunXmzp27wteeOnXql1Dxqlq/6ALKUnl8N+VGrzRErzRErzREr5Q/3xGrQr9QKr1CqfQKpdIrlEqv1PdZVzaXbTj5ZSqLy70fnVV0BWWpLL6bcqNXGqRXGqBXGqRXyptlWFgV+oVS6RVKpVcolV6hVHpl1ZXtZd2VlZVJknnz5tV7fN68eWnTpk2SpE2bNlmwYEFqa2vrxmtrazN//vy6OQAAAABAeSrbcHLLLbdMZWVlHnjggbrHFi9enCeeeKJujcmePXvmgw8+yNNPP1035+mnn87ChQvrrUMJAAAAAJSfQi/r/uCDDzJt2rQkydKlS/PWW2/lhRdeSMuWLbPFFltk5MiRufjii9OpU6d07NgxF154YTbYYIMMHTo0SbLNNttk7733zimnnJKf//znSZJTTjkl3/zmN51CCwAAAABlrtBw8rnnnsvAgQPrfh8zZkzGjBmTQw45JGPHjs3JJ5+cRYsWZdSoUampqUn37t0zYcKEbLjhhnXPueqqq3LaaadlyJAhSZIBAwbk/PPPX+3bAgAAAACsmkLDyd69e6empmaF440aNcro0aMzevToFc5p0aJFfv3rX38Z5QEAAAAAX6KyXXMSAAAAAPhqE04CAAAAAIUQTgIAAAAAhRBOAgAAAACFEE4CAAAAAIUQTgIAAAAAhRBOAgAAAACFEE4CAAAAAIUQTgIAAAAAhRBOAgAAAACFEE4CAAAAAIUQTgIAAAAAhRBOAgAAAACFEE4CAAAAAIUQTgIAAAAAhRBOAgAAAACFEE4CAAAAAIUQTgIAAAAAhRBOAgAAAACFEE4CAAAAAIUQTgIAAAAAhRBOAgAAAACFEE4CAAAAAIUQTgIAAAAAhRBOAgAAAACFEE4CAAAAAIUQTgIAAAAAhRBOAgAAAACFEE4CAAAAAIUQTgIAAAAAhRBOAgAAAACFEE4CAAAAAIUQTgIAAAAAhRBOAgAAAACFEE4CAAAAAIUQTgIAAAAAhRBOAgAAAACFEE4CAAAAAIUQTgIAAAAAhRBOAgAAAACFEE4CAAAAAIUQTgIAAAAAhRBOAgAAAACFEE4CAAAAAIUQTgIAAAAAhRBOAgAAAACFEE4CAAAAAIUQTgIAAAAAhRBOAgAAAACFEE4CAAAAAIUQTgIAAAAAhRBOAgAAAACFEE4CAAAAAIUQTgIAAAAAhRBOAgAAAACFEE4CAAAAAIUQTgIAAAAAhRBOAgAAAACFEE4CAAAAAIUQTgIAAAAAhRBOAgAAAACFEE4CAAAAAIUQTgIAAAAAhSjrcHLMmDFp0aJFvZ/OnTvXjdfW1mbMmDHp0qVLqqqqst9+++WVV14psGIAAAAAoFRlHU4mSadOnTJlypS6n8cff7xu7NJLL83ll1+en/3sZ7n//vtTUVGRwYMH5/333y+wYgAAAACgFGUfTq6zzjqprKys+2ndunWST86aHDt2bH7wgx9k0KBB6dq1a8aOHZsPPvgg48ePL7hqAAAAAOCzlH04OX369HTp0iU77LBDjj766EyfPj1J8uabb2bOnDnp27dv3dxmzZplt912y1NPPVVQtQAAAABAqdYpuoCV2WWXXfLLX/4ynTp1yvz583PBBRekf//+efLJJzNnzpwkSUVFRb3nVFRUZPbs2UWUCwAAAACsgrIOJ/fZZ596v++yyy6prq7OjTfemB49evzLrzt16tTPW9oXYP2iCyhL5fHdlBu90hC90hC90hC9Uv58R6wK/UKp9Aql0iuUSq9QKr1SX6dOnVY6Xtbh5D9r3rx5unTpkmnTpuVb3/pWkmTevHnZYost6ubMmzcvbdq0WenrfNaHslo8OqvoCspSWXw33rv92gAAIABJREFU5UavNEivNECvNEivlLepU6f6jiiZfqFUeoVS6RVKpVcolV5ZdWW/5uSnLV68OFOnTk1lZWW23HLLVFZW5oEHHqg3/sQTT6RXr14FVgkAAAAAlKKsz5z88Y9/nH333Tdt27atW3Py73//ew455JA0atQoI0eOzMUXX5xOnTqlY8eOufDCC7PBBhtk6NChRZcOAAAAAHyGsg4n//rXv+aYY47JggUL0rp16+yyyy659957065duyTJySefnEWLFmXUqFGpqalJ9+7dM2HChGy44YYFVw4AAAAAfJayDievueaalY43atQoo0ePzujRo1dTRQAAAADAF2WNWnMSAAAAAPjqEE4CAAAAAIUQTgIAAAAAhRBOAgAAAACFKOsb4gAAX44W184quoT/z/rJo+VRS81RmxddAgAArHWcOQkAAAAAFEI4CQAAAAAUQjgJAAAAABRCOAkAAAAAFEI4CQAAAAAUQjgJAAAAABRCOAkAAAAAFEI4CQAAAAAUQjgJAAAAABRCOAkAAAAAFEI4CQAAAAAUQjgJAAAAABRCOAkAAAAAFEI4CQAAAAAUQjgJAAAAABRCOAkAAAAAFEI4CQAAAAAUQjgJAAAAABRCOAkAAAAAFEI4CQAAAAAUQjgJAAAAABRCOAkAAAAAFEI4CQAAAAAUQjgJAAAAABRCOAkAAAAAFEI4CQAAAAAUQjgJAAAAABRCOAkAAAAAFEI4CQAAAAAUQjgJAAAAABRCOAkAAAAAFEI4CQAAAAAUQjgJAAAAABRinaILAACgfLW4dlbRJXzK+smjxddTc9TmRZcAAPCV4cxJAAAAAKAQzpwEAAA+N2fZNsyZtgCwcs6cBAAAAAAKIZwEAAAAAAohnAQAAAAACiGcBAAAAAAKIZwEAAAAAAohnAQAAAAACiGcBAAAAAAKIZwEAAAAAAohnAQAAAAACiGcBAAAAAAKIZwEAAAAAAohnAQAAAAACiGcBAAAAAAKIZwEAAAAAAohnAQAAAAACiGcBAAAAAAKIZwEAAAAAAohnAQAAAAACrFO0QUAAACw9mhx7ayiS/iU9ZNHy6OemqM2L7oEgEI4cxIAAAAAKIRwEgAAAAAohMu6AQAAgLJjCYCGWQKArxpnTgIAAAAAhfjKhJNXXXVVdthhh1RWVmaPPfbI448/XnRJAAAAAMBKfCXCyQkTJuT000/PD3/4wzz88MPp2bNnDjrooMycObPo0gAAAACAFfhKhJOXX355hg8fniOPPDLbbLNNLrjgglRWVuaaa64pujQAAAAAYAUa1dTU1BZdxOexZMmSbLrpprn66qtzwAEH1D3+ox/9KH/+859z5513FlgdAAAAALAia/yZkwsWLMjHH3+cioqKeo9XVFRk7ty5BVUFAAAAAHyWNT6cBAAAAADWTGt8ONmqVas0adIk8+bNq/f4vHnz0qZNm4KqAgAAAAA+yxofTn7ta19LdXV1HnjggXqPP/DAA+nVq1dBVQEAAAAAn2Wdogv4Ihx//PE57rjj0r179/Tq1SvXXHNN3n777Rx11FFFlwYAAAAArMBXIpw88MAD88477+SCCy7InDlzsu222+bmm29Ou3btii4NAAAAAFiBRjU1NbVFFwEAAAAArH3W+DUnAQAAAIA101fism5WzdKlS/PII4/ksccey4wZM7J48eK0bt06O+ywQ/r27Zu2bdsWXSJlZPr06Xn00Ufr9cqOO+6YXr16pWnTpkWXRxnRK5RKr1AKxyusCv1CqfQKq8IxC6XSK5+Py7rXIosWLcrll1+eq6++Ou+++266deuWqqqqNGvWLO+++25eeeWVzJ49O3379s1pp52WHj16FF0yBbr55pvzq1/9Ks8991zatGlTr1feeOONNG3aNAcddFBOPvlk67uu5fQKpdIrlMLxCqtCv1AqvcKqcMxCqfTKF0M4uRbp2rVrevTokeHDh6dv375Zd911l5szY8aMjB8/Ptdcc01GjRqVI488soBKKVrv3r2zzjrrZPjw4RkwYMByf0H+8MMP8/TTT2fChAm5/fbbc9FFF+WAAw4oqFqKpFcolV6hVI5XWBX6hVLpFUrlmIVS6ZUvjnByLfLnP/85Xbt2LWnukiVLMnPmzGy99dZfclWUo3vuuSf9+/cvae78+fMzY8aM7Lzzzl9yVZQjvUKp9AqlcrzCqtAvlEqvUCrHLJRKr3xxhJMAAAAAQCHcrZt6Fi5cmMcee6zoMihjf/3rXzN9+vSiywC+gj766KPMnDmz6DJYAyxdulSvUGfy5MlFl8AaZsmSJfV+f/LJJ/PQQw8t9zgss3jx4tx222257LLLMnHixCxevLjokihz8+fPzz/+8Y+iy1hjCCepZ9q0aRk4cGDRZVAG/va3v+Xoo4/Otttum2OPPTYffvhhTjnllGy33XbZeeeds+++++a9994rukzKQG1tbS655JLstddeGTx4cO64445643Pnzs0mm2xSUHWsSV555ZXsuOOORZdBGVi8eHFOOeWUbL311unevXvGjh1bb3z+/Pl6hTp77bVXdt555/z85z/PvHnzii6HMjZ79uzsvffeqaqqyje/+c28++67GTp0aAYMGJADDjggvXr1yuzZs4sukzIwcuTITJo0Kcknd2Hu0aNHRo4cmWuuuSYjR45Mr169nLBBkuQ3v/lNPvzwwySf/LvooosuypZbbpnOnTtnyy23zBlnnJGlS5cWXGX5E04CDfrpT3+al156KT/4wQ8ye/bsfOc738lTTz2VP/zhD5k0aVJqampy6aWXFl0mZeCyyy7LxRdfnD59+mSrrbbKMccck5/+9Kf15tTWWkEEKN3555+fu+++O2eccUYOO+ywXHjhhRkxYkS9g3v7FT6tR48eueSSS7Lddtvl8MMPz//93/8VXRJl6KyzzkqTJk1yww03ZPPNN8+wYcOycOHCvPzyy3nhhRdSWVmZiy++uOgyKQP33HNPOnbsmCT58Y9/nK5du2bKlCl57rnn8tprr6W6ujqjR48uuErKwamnnpq//e1vST4JKi+++OL88Ic/zKRJk3LmmWfm+uuvz1VXXVVwleXPmpNrmVLPXnrnnXe+5Eood9tvv31++ctfpk+fPpk9e3a6du2a3/72t9l3332TJHfffXd+/OMf55lnnim4UorWo0ePnHHGGRk8eHCSTy6vGzZsWIYOHZpzzjknc+fOTZcuXexX+Mwz3f7xj3/k7bff1iukuro6F1xwQfbZZ58kn9xB96CDDsp2222Xq666KvPnz7dfoU7Lli3z2muvpXnz5pkwYUKuu+66PP3002nbtm0OP/zwHHroodl8882LLpMy0KVLl4wbNy49evTIu+++mw4dOuS2227LHnvskSR56KGHcvLJJ1sqgFRVVeXJJ59M+/bt07Vr19xwww3Zaaed6sZfffXVDBgwIG+88UaBVVIOlv0/qKKiIn379s2QIUNy/PHH141fd911ueKKKyyf9xnWKboAVq9mzZpl5MiR6datW4PjM2bMyFlnnbWaq6IczZs3Lx06dEiSbLrppmnWrFndXw+TZNttt82sWbOKKo8y8tZbb9W761x1dXUmTZqUgQMH5uOPP84pp5xSYHWUkzlz5mTYsGErvPvp7Nmz86tf/Wo1V0U5mjNnTjp37lz3e7t27TJp0qTsv//+Ofroo/Pf//3fBVZHuWrWrFkOPfTQHHrooXnllVfym9/8JmPHjs3555+ffv365aabbiq6RApWU1OTTTfdNMkngcL666+fLbbYom68Q4cOmTNnTlHlUUY6deqUP/7xj2nfvn022mij1NTU1Bt/77330qhRo4Kqo9ws64U333yz7o8dy/Tp0ydnnHFGEWWtUYSTa5lu3bqlZcuWGTRoUIPjL7744mquiHK1ySabZMGCBWnbtm2S5N/+7d+y8cYb140vXLgwX/va14oqjzLSqlWrvPXWW9lyyy3rHuvUqVNuv/32DBw40Ppf1Nl2222z3Xbb5dhjj21w/MUXXxROkiSprKzMG2+8UW+/0qZNm0ycODEDBw7M9773vQKro9w0FBBsu+22+dnPfpazzz47t912W6677roCKqPctG7dOnPmzKk7vj322GPTsmXLuvH33nsv66+/flHlUUZOOOGEnHnmmamoqMipp56a008/Peeff346d+6cqVOn5vTTT8/+++9fdJmUibvuuisbbbRRmjZtmoULF9YbW7RoURo3tqLiZxFOrmX22WefuvUQGtKyZcsMGzZsNVZEueratWuee+65ussw/3mdjMmTJ9c7q4W116677ppJkyZl9913r/d4586d64IESJJevXrlL3/5ywrHmzdvnt122201VkS56t27d2655Zbsueee9R6vrKzM7bffnv3226+YwihLK1t/dL311svBBx+cgw8+eDVWRLnq1q1bnnnmmXTv3j1J8pOf/KTe+JNPPpmuXbsWUBnl5uCDD867776b4cOHZ+nSpfn444/rljBKkgEDBjiLnzonnnhi3X8/8sgj6dWrV93vzzzzTNq3b19AVWsWa04CDVqwYEEaN25c76/Jn3b33XenadOmy522ztrnpZdeyuTJk3PYYYc1OP7KK69k4sSJOf3001dzZcCaasaMGZk6dWr69evX4Pjbb7+d+++/P8OHD1/NlVGObrzxxgwZMiTrrbde0aVQ5pYF2Su6HPeZZ55J06ZNV7gEFmuf9957Lw888ECmT5+epUuXprKyMrvuuusKl6iBf3bXXXdl3XXXXeExDZ8QTgIAAAAAhXDh+1pm8uTJJf3AYYcdVm8JgCeffDIffvhhgRVRrvQKpdIrlMrxCqvCvoVVNXHixBx++OH5+te/nq9//es57LDDcvvttxddFmXEfoVS6ZUvhjMn1zItW7asu4xhRevzNGrUKO+8887qLIsytMkmm2TKlCmpqKhIkmyxxRZ55JFHrJfBcvQKpdIrlMrxCqvCvoVS1dbWZsSIERk/fny23nrruvXTp0yZkjfeeCNDhgzJlVdeWXCVlAP7FUqlV74YboizlllvvfVSUVGRQw89NIMHD06zZs2KLoky9c//GFzZYvOs3fQKpdIrlMrxCqvCvoVSXXHFFbnnnnty/fXXL3djrUmTJuWEE07Ir3/964wYMaKgCikX9iuUSq98MVzWvZZ59dVXc9JJJ+XOO+/MPvvsk4suuijz5s1Lu3bt6v0AABTF8QrwZbj++utz9tlnLxdMJsnAgQPzX//1X7nuuusKqAxg7ebMybVMixYtcuyxx+bYY4/N888/n+uvvz5Dhw5NVVVVDjvssIwcOTKNG8us+cTLL7+cFi1aJPnkL0CvvPJKampq6s2prq4uojTKjF6hVHqFUjheYVXZt1CK119/PXvttdcKx/faa6+MHj16NVZEObNfoVR65fOz5iSZO3duvvvd7+axxx7L66+/npYtWxZdEmVg2XpfKzst3XpfJHqF0ukVPg/HK6yIfQulateuXe6555506dKlwfFXX301/fv3z4wZM1ZzZZQb+xVKpVe+GM6cXIs9/PDDuf766/O///u/2WGHHXLZZZfVpf3w/PPPF10Cawi9Qqn0Cv8Kxyt8FvsWSrXTTjvlpptuyllnndXg+G9/+1tnN5HEfoXS6ZUvhnByLTNr1qzccMMNufHGG/Phhx/m4IMPzkMPPZSOHTsWXRplZPr06SXfXay2tjazZs1K27Ztv9yiKEt6hVLpFVaF4xVKZd/CqjjppJPy7W9/O0uWLMlJJ52UysrKJMnbb7+dX/ziF7niiity0003FVwlRbNfoVR65YvT5PTTT/9J0UWw+nTo0CHTpk3LIYccklGjRqVr165ZsmRJ3n777Xo/VVVVRZdKgXr27JkpU6akdevW2XzzzRucU1NTkxtuuCHf+973suGGG6Z79+6ruUrKgV6hVHqFVeF4hVLZt7AqOnTokFatWuXCCy/ML37xi/zyl7/MpZdemosvvjiTJ0/Oueeem4MOOqjoMimY/Qql0itfHGtOrmU+vT5To0aNkix/q3vrIVBTU5OLLroo48aNS+PGjVNdXZ2qqqo0bdo0NTU1efXVV/Paa6+le/fuOe2009KvX7+iS6YgeoVS6RVWheMVSmXfwr/ir3/9a2699dZMmzYtSbL11ltn0KBBKwwXWLvYr1AqvfLFEU6uZUpd3Lldu3ZfciWsCRYtWpR77rknTzzxRGbOnJnFixenVatW6datW/r165euXbsWXSJlQq9QKr1CKRyvsKrsW4Avmv0KpdIrn59wci1iPQQAoNw5XgG+LJMnTy5pnpviAKxewsm1SOfOndO/f/8cccQR6dmzZ4Nzampq8vvf/z5XXHFFjjnmmIwYMWI1VwkArM0crwBflpYtW65wqYhlLBkBsPoJJ9ci1kMAAMqd4xXgy1JVVZWKiooceuihGTx4cJo1a9bgPEtGAKxewsm1kPUQAIBy53gF+KLV1NTklltuybhx4zJ9+vQMHjw4RxxxhLvnAhRMOAkAAMBa5fnnn8/111+f8ePHp6qqKocddlhGjhyZxo0bF10awFpHOAkAAMBaae7cufnud7+bxx57LK+//npatmxZdEkAax1/FgIAAGCt8vDDD2fEiBHZaaed8tFHH+Wyyy5LixYtii4LYK20TtEFAAAAwJdt1qxZueGGG3LjjTfmww8/zMEHH5yHHnooHTt2LLo0gLWay7oBAAD4ymvdunU23XTTDB8+PP3790+TJk0anFddXb2aKwNYuwknAQAA+Mr79HqSjRo1SpLU1tb/53CjRo3yzjvvrNa6ANZ2LusGAADgK+/5558vugQAGiCcBAAA4Ctt+vTpad++fUlza2trM2vWrLRt2/bLLQqAJO7WDQAAwFdc//79c8IJJ+Tpp59e4ZyamppcffXV6dWrV+68887VWB3A2s2akwAAAHyl1dTU5KKLLsq4cePSuHHjVFdXp6qqKk2bNk1NTU1effXVvPbaa+nevXtOO+209OvXr+iSAdYawkkAAADWCosWLco999yTJ554IjNnzszixYvTqlWrdOvWLf369UvXrl2LLhFgrSOcBAAAAAAKYc1JAAAAAKAQwkkAAAAAoBDCSQAAkiQtWrTIKaecUnQZq90jjzySFi1a5JFHHim6FACAtY5wEgAAAAAohHASAAAAACiEcBIAYA21cOHCoktYZUuWLMlHH31UdBlloba2NosWLSq6DACAQgknAQAKNHHixLRo0SIPPfTQcmM33XRT3VqII0eOTGVlZd58880MGzYsW2yxRb797W+X/D61tbW58sor841vfCNVVVXp0KFDDjjggDz++OPLzb3jjjvy9a9/PW3atMmuu+6a++67r974jBkz8qMf/Sg9e/bMpptumnbt2uXggw/Oyy+/XG/esrUcb7755owZMybbb799qqqqMmvWrLrxPffcM5WVlamurs61116bMWPGpEWLFsvVdMstt2SvvfZKVVVVttxyyxx55JGZPn16ydu/zKxZszJ8+PBsttlm6dixY0aPHp0lS5Y0OPfZZ5/NQQcdlHbt2qWqqir77rtvHn744eXmlbody9b0nDBhQnbbbbe0adMmEyZMSJK89957OeOMM7L99tunoqIiO+64Y84///x8/PHH9V6jtrY2V1xxRXbbbbdUVlamY8eOOeGEE7JgwYJV/iwAAMrBOkUXAACwNuvfv3823HDDTJgwIXvssUe9sQkTJmTTTTfN7rvvnhtvvDFLly7NgQcemO7du+fss89OkyZNSn6fk08+Odddd1369euX4cOHp7a2Nk8//XQef/zx7LbbbnXznn766dx11105+uij07x581xxxRU54ogj8tJLL2WTTTZJkjz33HN5/PHHs//++2eLLbbI7Nmz85vf/Cb77bdfnnzyyVRVVdV774svvjiNGzfOcccdlyRp3rx5nn/++QwdOjRt2rTJ6aefnqVLl+b888+ve49Pu+SSS3L22Wdn0KBBOfTQQ1NTU5Mrr7wy++67bx599NG0bt26pM9g0aJFGTRoUN56660cd9xxqaqqyi233NJg4Pjoo49myJAh6datW0aNGpV11103N910Uw488MDceuut6d27d5Ks0nYkyeOPP56JEyfm2GOPTWVlZTp37pxFixZl4MCBmTFjRo4++ui0a9cuf/rTn3Leeedl5syZueyyy+qef+qpp2bcuHE55JBDcuyxx2bWrFn59a9/nWeffTb3339/mjZtWtJnAQBQLhrV1NTUFl0EAMDabMSIEbnvvvvy2muvZZ11PvnbcU1NTTp37pyjjz465513XkaOHJnf/va3+f73v59zzz13lV7/kUceycCBA3PMMcfkwgsvrDdWW1ubRo0aJfnkzL511103Tz31VDp06JAkeemll/KNb3wj559/fkaMGJHkk5CvWbNm9V5n+vTp6dWrV370ox9l1KhR9d63bdu2eeqpp7LBBhvUzR82bFgefPDB/OlPf8rmm2+eJJk2bVp69uyZjz76KDU1NUmSmTNnZqeddsqoUaPy7//+73XPf+ONN7Lrrrvm+OOPz3/+53+W9DmMHTs2o0ePzrXXXpvBgwfXbUufPn0yderUTJo0Kb17905tbW169uyZzTbbLLfddlvd57NkyZL06dMnG220Ue65555V2o5ln2+jRo3y0EMPZYcddqh7/KKLLsqFF16Yhx56KJ07d657/MILL8w555yTZ555Jp06dcpTTz2Vb37zmxk7dmwOOeSQunlPPPFEBgwYkJ///Of5zne+U9JnAQBQLlzWDQBQsAMPPDDvvPNOHnzwwbrH7rjjjixZsiRDhgypN/eYY45Z5de//fbbkySjR49ebmxZ8LZM796964LJJNl+++2z0UYb1buE+tPB5N///ve888472XDDDdOxY8dMnjx5ufcYNmxYvWDy448/zkMPPZQBAwbUBXpJ0qFDh+y99971njtp0qR89NFHOfDAA7NgwYK6n4022ihdu3bNI488UuKnkNx7771p06ZNBg0aVG9bjjjiiHrzXnzxxUydOjVDhw7NO++8U/ee77//fvbcc8/88Y9/zN///vdV2o5levXqVS+YTJJbb701u+66a1q1alVvG/fcc88kn5zFuWxe8+bNs/fee9eb17lz57Rp02aVPgsAgHLhsm4AgIL169cvLVq0yO9///u6UGvChAlp165devToUTevcePGadeu3Sq//htvvJE2bdqkVatWnzm3bdu2yz228cYb1zsDcPHixTn33HNz88035+233643t6HLmdu3b1/v93nz5mXRokX1QtBl/vmx119/PUnqfQ4re+2VmTlzZrbaaqs0blz/7/Nbb711g+954okn5sQTT2zwtd55552ss846JW/Hyup9/fXX89JLLy1XxzLz5s2rm/fBBx+kU6dOK50HALAmEU4CABRs3XXXzcCBAzNx4sQsWbIk77//fh5++OGccMIJy81bdtn3l2VF61jW1v7/KwGddtppuf766zNixIj06tUrG2+8cRo3bpzRo0dn6dKlyz33ny8BXxXLXm/8+PENbvuXscbisvf8yU9+kurq6gbntG7dul5gW6qGPoulS5emT58+OfXUUxt8zrJAc+nSpdlkk01yzTXXNDivoRsJAQCUO+EkAEAZGDJkSMaNG5f77rsvc+bMqbuU+Yuw1VZb5b777sv8+fNLvnnMytx2220ZNmxYzjvvvHqP19TUrPBGMJ9WUVGRpk2bZtq0acuN/fNjW221VZJPzujs0qXL56g62WKLLfLSSy9l6dKl9c6eXHam5D+/Z/PmzesurW7IqmzHymy11Vb54IMPVvpey+Y98MAD2WWXXdK8efOSXx8AoJxZcxIAoAz07t07bdq0ya233poJEyakc+fOy61N+K/af//9k2S5MDGpf0ZkqZo0abLc88aPH5/Zs2eX/Pw99tgjf/jDHzJr1qy6x6dNm5b77ruv3tz9998/TZo0yfnnn99grQsWLCi57n322Sdz587NxIkT6x5btGhRrrvuunrzqqur06FDh1x++eV5//33l3ud+fPnr/J2rMzgwYPz7LPP1t1k59Pef//9fPjhh3Xzlt0N/J99/PHH/9KZnAAARXPmJABAGWjSpEkGDRqUG264IYsXL6674/UXoXfv3hk+fHiuuuqqvPHGG3XrWj7zzDPZbrvt8sMf/nCVXm/AgAH53e9+lw033DBdu3bNiy++mAkTJqzS+o+jR4/OAw88kH333Tff/e53s3Tp0lx55ZXp0qVLXnrppbp57du3z09+8pOceeaZmTlzZvbbb79svPHGefPNN3PnnXdm8ODBDd7opyFHHnlkrrzyyowcOTKTJ0/Opptumptvvjlf+9rX6s1r3LhxLrvssgwdOjS77rprDj300Gy++eaZPXt2HnvssdTW1uaOO+5Ype1YmZNOOil33XVXhg8fnkMOOSTV1dVZtGhRXnnllUycODGPPfZYttxyy+y+++459thj84tf/CIvv/xy+vbtm/XWWy/Tpk3L7bffntGjR+fQQw8t8RsAACgPwkkAgDJx4IEH5sorr0yS5e7S/Xn9z//8T7bbbruMGzcuZ511Vpo3b54dd9wxu++++yq/1nnnnZd11103t956a66//vpUV1fn97//fc4888ySX6O6ujq33HJLzjzzzJx77rnZfPPNM3r06Lz22mv5y1/+Um/uiSeeWHcm44UXXpilS5dms802S58+fXLAAQeU/J7rr79+Jk6cmNNOOy1XXnllmjVrloMOOij77LPPcp/37rvvnnvvvTcXXHBBrr766rz//vtp06ZNdt5553p3916V7ViRZs2a5Y477sgll1ySW2+9NTfddFOaN2+erbfeOqNGjUplZWXd3AsuuCA77LBDrr322pxzzjlZZ5110rZt2xxwwAHp06dPyZ8FAEC5aFRTU7Pq1/IAAMCXYPjw4Xn11Vfz7LPPFl3K5/JV2Q4AgC/DGsMWAAABL0lEQVSbNScBACjEokWL6v3++uuv59577803vvGNgir613xVtgMAoAjOnAQAWEMtWbIk77777krnbLDBBmV7Z+dtttkmw4cPT/v27TNz5sxcffXVWbJkSR5++OFsvfXWJb/OokWL8re//W2lczbaaKM0a9bs85bcoC9qOwAA1kbWnAQAWEM99dRTGThw4Ern/Pu//3vJN4xZ3fr165fx48dn7ty5WW+99dKjR4+ceeaZqxzoTZgwIccff/xK51x++eVf2s1ivqjtAABYGzlzEgBgDVVTU5PJkyevdE779u1X6S7aa6K33347r7766krndOnSJVVVVaupIgAASiWcBAAAAAAK4YY4AAAAAEAhhJMAAAAAQCGEkwAAAABAIYSTAAAAAEAhhJMAAAAAQCH+H7MAZ25fn7G/AAAAAElFTkSuQmCC\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "categorical_to_plot = ['sex', 'age_cat', 'race', 'c_charge_degree', \n",
        "                'r_charge_degree', 'score_text', 'v_score_text',\n",
        "                'vr_charge_degree']\n",
        "\n",
        "for category in categorical_to_plot:\n",
        "  counts = df[category].value_counts()\n",
        "  counts.plot(kind = 'bar', figsize = (20,10)) \n",
        "  plt.ylabel('count')\n",
        "  plt.xlabel(category)\n",
        "  plt.title(f\"Histogram of {category}\")\n",
        "  plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JHNhXICRwudC"
      },
      "source": [
        "#### Graphical information - plots (dates)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8rbsTKVfJ5Fa"
      },
      "source": [
        "Below there are some time plots of what we deemed to be some of the most significant date columns."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "cPVhc4bdyq-2",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "3fbea3da-f97d-49a2-f0fa-687a7ff45b76"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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gIhERyYX7zZGcjkuzew5npCIREckFzZE8mIpEREQsoiIREckFLf99MBWJiEguaGjrwVQkIiJiERWJiIhYREUiIiIWUZGIiIhFVCQiImIRFYmIiFhERSIiIhZRkYiIiEVUJCIiYhEViYiIWERFIiIiFlGRiIiIRVQkIiJiERWJiIhYJMcimTlzJk8//TQBAQFUq1aNHj16cPz4cXtkExGRAiDHItm7dy8DBw5k+/btfP3117i5udGlSxdu3bplj3wiIuLk3HK6wVdffZXt3wsWLKBy5cr8+OOPhIaG2iyYiBReGZmZLDqRyM8xKXR/zJvnAjzZdD6Zby4k06qCBy8FeWMwWOc7CU3pmfzvkdv85/IdUjOgfUUPRjcoTtEiLsSmwIIDRjIBf29XTsWl0rq8B8dupXLSmEZQCTdeqV2UV8JvcfRmqlXyFEY5FslfJSQkkJGRgY+Pjy3yiMgjYM3ZZMZFxAGwNiqZxW1K8Ur43VGONVHJlPV0IbSyl1W29e9D8cw8kmD+99GbqSSkZTIj2IcJJz34NT7xnmxZfrhqYtHJ7NfLvQxGozFP3yDZv39/zp49yw8//ICrq+sDbxcZGWlxOBEpnFrt98KU8eA9jiKGTPY/mfzA6/Oi6V7v+14e8WQSzffd/7rC6mCrpHzdLygo6KHX52mPZMKECfz4449s27btoSWSmw1bQ2RkpF22kx/Klj/Klj8FLZtp75WH3ic102C9n+cB2wp8rDrsu2qdbRQQtnqN5LpI3nrrLb766is2b95MlSpVbBJGRMReTBl5GoyRh8hVkYwbN44NGzawefNmatSoYetMIiI2l6oisZoci2T06NGsXr2alStX4uPjw7Vr1wAoWrQoxYoVs3lAESlc0pzkDfxOmnPkKAxyPI5k8eLF3L59m86dO1OzZk3zfx9//LE98olIIRN7JyNXt8vMtO0b/e1UFYm15LhHYjQa7ZFDRB4R15LTc3W7uJRMfDyscyzJ/RhTcldokjOda0tE7Coml3skN+7krnDyK05FYjUqEhGxq+vJuS0S277RG00a2rIWFYmI2NX1XA5t2bxItEdiNSoSEbGr3O6R5HZSPr80tGU9KhIRsasYZ9kjMalIrEVFIiJ2dS3XcyS2nmzXHIm1qEhExK5yu0cSa+M9Bg1tWY+KRETs6nouh6xsPUeiyXbrUZGIiN2kZWTmuiA0R1JwqEhExG5u3MkgtzMTtl+1pTkSa1GRiIjd5PYYErg72W7L821pjsR6VCQiYje5PYYE4E46JNrwDL06aaP1qEhExG7yskcCtp8nEevI01ft2sNJYyrfXLiTq9vGxrrhm3TbxonyR9nyR9nyp6Bki7huytN9P/k9gfLeD/9ab3E8g9FodKr9u6+ikvhH+C1HxxARKXSMAyra5HE1tCUiIhZRkYiIQ5RwNzC8rr6u215efMzLZo/tdHMkNXyKMLJ+7l5cN2/eonTpUjZOlD/Klj/Klj8FLVuxIi78PdCTaiXcaFrOnSOxKWQCXq4Giru7EHsng3QrLv2Nik/n4PUUgv3c8XYzUNbLxZwtzaskpvRMbqdmcvB6Cs9X9sTbzcCBayk0L+dOsSIGvr14h1NxaQysVZSdl+9wMeH+iwYCirly6QHXWYO7C+Rn1XKbCh4seMp2rw+nmyPJi8jISIKCghwd476ULX+ULX+ULX+UzTo0tCUiIhZRkYiIiEVUJCIiYhEViYiIWKRAT7aLiIjjaY9EREQsoiIRERGLqEhERMQiKhIREbGIikRERCyiIhEREYuoSPLBlt8jLVKQOPPfgjNnK2ycskhSU1MdHeGB4uPjs71AnenFmpyc7OgID3Tu3DnOnTsHQFpamoPTZHfmzBk++OADjh075ugo94iOjubSpUskJCQAkJHhPF89e+vWLVJSUsz/dqa/hdu3s39bpDNli4qK4tChQ4Bz5bKEU51GPiUlhSlTpnDjxg3Kli3LP//5T3x9fR0dC7hbbqNHj+bo0aOULl2aTp068fLLL2MwGBwdjZSUFN555x0uXryIl5cXPXr04Nlnn3WKbADh4eF06dKF2rVrs3//ftzcnONll56ezrhx41ixYgVhYWHExsY6OpJZamoqY8aM4T//+Q+lSpXCYDDw9ddf4+Pj4+hopKamMnLkSCIiIvD19aVly5aMGzcOd3d3R0cjJSWFiRMncvLkSby8vAgJCWHgwIG4uDjHZ+aDBw/y7LPPUqFCBY4ePYqra+H4GmHX8ePHv+foEADffPMNXbp0ISUlherVq7NkyRKOHTtGaGgoRYoUcWi2uLg4unfvTkxMDK+//jqRkZFs2LCB06dP06FDB4dm27JlCy+88AIpKSl06tSJ3bt3s3fvXtzd3Xn88ccdmi3Lzp07SUpK4vLlyxQrVoxGjRqRlpbm8D/u+fPns2/fPhYtWsTgwYMJDAwE7n5KdGQJX716lRdffJH4+HhmzZpFvXr1+P777zl9+jTPP/+8Q/MlJyfTr18/Ll++zLvvvktiYiKbNm3iwIEDtG/fHk9PT4fkAti+fTsvvvgiJpOJ/v37c+rUKXbt2kVSUhLBwcEO/70CHDp0iNjYWK5evYrJZKJVq1ZOkctSTvHR0GQysXz5cnr37s2kSZMAaNu2LWFhYU4xDPL7779z5coVVqxYQf369fnb3/7Gli1bGDBgAK1atSIsLMwhuc6dO8fq1avp3bs3b731FgaDgS5dujB06FAiIyMd/gLN2v6lS5eoWbMmwcHBTJ8+nT59+uDu7u6wfJmZmSQnJ/P111/Ts2dPmjZtyk8//cThw4epUaMGjRo1okSJEnbPleXAgQMkJCSwbNky/P39adq0KXv27DEXryN/p1FRUZw4cYLZs2fzzDPP0L59e3r16kVISAhLlixh6NCheHnZ7pv4HuTatWusX7+ezp07M2nSJFxdXQkNDeW9997jyJEjmEwmPDw87J4rS9Zr/eTJk/j7+xMWFsbYsWN56aWX8Pf3d1gua3HoR8Ks8cETJ06we/duWrdubb4uOjqaAQMGOMUY4s2bN/njjz+oX78+AC4uLnTu3JmXXnqJqVOncv36dYfkunPnDvXq1aN3794YDAbS09MpVerut6BduXLFKUoE7v4uQ0JCCAsLw93dnSlTpgCQlJTkkGwGg4Ho6GguXLhA+/btefvtt+nXrx8bNmxg4MCBvPDCC1y6dMkh2eDuPFxUVJT5DebatWv89NNPVKhQgb1799o9z5//Bo1GI5cvX6ZZs2bA3WGuhg0bMmLECObNm8eJEyccki0tLY2GDRvSp08fXF1dycjIoGjRoqSkpGA0GvHw8LD7e8mft5f1t5CUlESTJk3o1KkTlSpVYvLkycC9czoFjUOK5Ny5c9neaBo2bIivry+LFi1i+/btvP322wwbNox9+/bRrFkzFi5cSExMDGD7yam5c+fyySefsHv3bvNlJUqUwN/fnw0bNmTLMGHCBGJiYti8eTNg+4nQrGzh4eEA1K5dm3HjxlGlShXgbsGlp6eTlJRE48aNbZrlQdmynjeDwWB+nhISEjCZTDz22GOMGjWKzz77jEGDBvHuu+/aZV7ifr/TihUrUrJkSd5//30uXrzIpk2b+L//+z++++47oqKimDVrll2K7n7ZmjRpQsmSJXn66afp27cv9erVo0SJEoSHh9OjRw+mTZuGyWSyebbvv/8eyP66Ll++PP7+/qxatSrbbSdOnIiLiwtbtmwBbP93mpUtPf3u19pWrFiRYcOGUbNmzWzbT0hIoE6dOoD99uTu97xluXjxIsnJyfj4+DBjxgxWr15Nv379GDJkCBcvXrRLPluwa5GsWLGCevXqMWDAAEJCQli9erV5hdann35KxYoVmTFjBt9++y0bN25k1apVDB48mPnz57N9+3bAdi+G/fv3U6tWLdauXcu6det4+eWXGTNmDABBQUEEBASwa9cuEhISzG/Yfn5+9OjRg88//xzAZmP+f83Wv39/xo4dS2JiIvDfPyaDwUBqairR0dHUq1fPJllyyvbyyy8zduxYkpKSMBgMJCQkcPToUdq0aYOHhwfXrl0jPT2dTZs28dJLL9l0McWDsplMJtLS0mjatCmbN28mIyODoKAgihUrRmBgIO+//z5r1qyx6Sq4B73eTCYTjz/+ODt27OCdd94hKiqKjz/+mG+++YZNmzYxe/Zs5s6dy7Vr12yWbdu2bdSqVYtu3bpx4sQJXF1dzUPMJUuWpGXLlnz77bcYjUaKFCliLrXBgwezevVqwHZ/p3/N5ubmZn79w38LJGsS+8SJEzRp0iTbdbZyv+ftz9kyMjI4deoUoaGhABw/fhwPDw+2bt3KsGHDqFy5sk3z2ZLdimT+/PnMmjWLyZMnM336dNq1a8err77K8uXLSUlJoXXr1kydOpUSJUowevRo2rRpQ7Vq1Rg1ahSenp6cOXPGpvm++OILWrZsSXh4OBs2bGDhwoUsWbKEGTNm4O/vz7PPPsuhQ4fYtGkT8N8XaunSpfHy8uLWrVt2y7ZgwQKWLFnCp59+yu3bt8278gARERHExcVRq1Yt8/0vX75st2xZz9v8+fPNbzQNGzZk48aNtGrVikWLFtG1a1fc3d2Ji4sDbLcc+H7ZPvvsM+bMmYOXlxfPPfec+blzcXExv/nVrVsXFxcXzp49a5NcD8q2ZMkSPv74Y+Li4ggMDOTGjRsA9OzZ0/z7bd68OSkpKTZbqrx9+3Y+/vhjOnbsSHBwMCNHjgTAzc2NzMxMypQpQ9u2bYmLi2PRokUA5tVa5cqVw8vLy2afrB+U7c8rn/5cYL///jt//PEHTzzxhPm68+fPA9YfPcgpW9ZrrHr16qxZs4Y2bdowc+ZMBgwYgJubG9HR0TbJZS92KZKkpCR27NhBWFgY3bp1o3nz5rz11lsEBwfz0UcfsWPHDgBiY2P59ddfadmyJXD3SY2Pj8fDw4OiRYvaLN/169fZs2cPTZs2Be5+6goJCWHEiBGsXr2a8PBwBgwYQOXKlVm+fDmnTp0y3/fKlStUqlTJPDdhj2zPPvssb7zxBmvWrGHPnj3Af/eGNm/eTIsWLfD19eXIkSN06NCBvn37ZvtkZMtsISEh5mw///wzycnJbNmyhTFjxtCiRQsiIiKYMmUK7dq14x//+AeATZYDP+x3umbNGr7//ntCQ0Pp1asXW7du5YcffjD/0YeHh9OgQQMaNmxo9Vw5ZVu7dq35d2owGMjIyODatWvm3++OHTuoX7+++VO2tWR9Wq9YsSJPPfUU//znPxk9ejQHDx5k48aNAOZjRjp16kSLFi34/PPPOXDggPnN++TJk1SrVs3qn6xzk+1+H0a2bt1K7dq1CQgI4PDhw7Rr14727dtbdcVgbrO5uLhgNBo5cOAAc+bMoVmzZuzbt49p06bRt29fBg0ahMlkcvhKxvyyS2o3Nzd+++03goKCAMy7wmXLliUtLY3NmzcTExNDqVKlCAgIYNSoURw9epTLly8zceJEEhMTef75562W59ChQ+ZPw3D3k5TBYDDvVWTlGzt2LB4eHqxevZpixYoxYsQIihcvTvv27Rk3bhyDBg1iy5YtdOnSBbDOrnNesrm5ubF161aMRiNwt3j/+OMPGjRowNixY2nbti3VqlVjx44dVlmvntds69evx8fHh5UrV7J161ZmzJiBr68vvr6+9O/fn8GDB5OZmWn3583d3Z2vvvqKjIwMXnvtNV588UX69OlD3759eeWVV5g+fTqdO3c2ryyzZzY3Nze2bdtGamoq5cuXp1SpUnTp0oWlS5fy2muvMWXKFMLCwihbtqzFuf6cLasM6tWrx6hRowgMDKRp06b07NmTt956CwAPDw/S0tIoXrw4gwYNokWLFnTt2pUBAwYwcOBAli9fTteuXQHr/i3kJlvWHtOfnT17ltq1azNhwgSefvpp6tSpw7Fjx6zywSWv2VJTU/Hx8WHu3LnmvwU/Pz8MBgNDhgxhwoQJDj/MwRJWP45k48aNzJs3j/Pnz+Pt7U25cuVwdXXl999/Z/369YSGhuLr68uaNWuIiIigcePGREREEBISgr+/P7Vq1WLBggVs376dZcuWYTAY+Oyzz8yTaJbYtGkTYWFhbNmyhUWLFnHr1i1q1qxJsWLFuGjIN14AAA1MSURBVHr1KmvXrmXgwIF4enqSkpKCh4cHrq6uLFiwgL59+xIUFETnzp1JTU0lJiaG5ORkPvvsM1q0aAFYNi6c32wLFy6kf//+FCtWjCtXrjBy5Eh2795NkSJFWLduHf369bO4RCzJ1qdPHxo1amRegZS1yKJKlSq0atUKg8HgkOdtwYIF5qWXnTp1wtfXFxcXF1JSUvjkk08ICQkBHPM7/fTTT+nfvz+1a9emevXqnDx5kpMnT5KamsqSJUuscuzSX7MZjUZq1qxJ0aJFzT+zp6cn/v7+fPHFFyQlJdG6dWvS09NxdXWlVKlSdOrUiRIlSpCSkoLJZGLBggW0adPG6s9bbrNlDR/B3VVQb775JhEREbi5ubF27Vr69etncYlYks3V1ZXHHnuM8uXLZ3vM0qVL8+STTxboY0msViQ3b95k6NChLFu2jFq1apkP9CpdujSPP/44devWZfXq1axcuZKPPvqITZs2MWnSJEaMGMHEiRMJCQmhevXqBAQE0K1bN5555hm6devGqFGjrDJs9NtvvzF27FiGDBnCG2+8QcWKFZkzZw43b97kySefpESJEuzcuZObN2/y1FNPmf9gatSowdy5c3niiScICgrCzc2Np556iueff55u3bpZZbLYkmwff/wxTZo0ISgoiCtXrnDr1i2mTZvG22+/TZkyZRz+vDVu3Ni8Jwr/fYOxxh+Npdmynje4u3Kwbdu2PP/88w7/nc6dO5eGDRtSo0YNKlWqRFhYGB06dKBPnz42y/bRRx9x8+ZNmjdvjpeXF+np6bi4uODj40NGRgYffvghgwcPpmjRophMJtLT03Fzc6Nx48aEhISYy9iR2by9vTGZTLi6unLr1i0SExOZOHGiTf8W8vK8ZQ0NFtThq4exWpHs2LGD7du38/XXX9O9e3f69u1LREQE69evJyAggODgYDp16kTTpk1p0qQJixYtok6dOty4cYONGzfSunVr8wRxiRIlqFChAhUqVLA4V9Yn4Kxx8Dlz5lC5cmUaN26Mp6cnO3fuxGQyERYWxh9//MHy5csJCQkxf2o4dOgQW7dupUePHgQEBJgf1xpvhNbK9sILLxAQEEDZsmXp3LmzeTmwM2R78cUXsz1v1vAoZPvz681gMFjliPGcsn333XfEx8fz5JNPmt/s3NzcqFixIj/88AO//fYbNWvWZPjw4VSpUsWqz521sr322mtUrlyZ2rVr0759e6pWrepU2QIDA63+mnMGVqvGtWvXUqFCBfz9/c0nmAsNDeXixYvm40AqVqxI27Zt6dWrl3k8cM+ePbi7uxMcHGytKNlkveFfuHCBqlWrZiuAl156iUaNGrFx40bOnz/P0KFDadCgAb1792bFihWcOXOGFStWULFixWyroJwtW+3atZ02mzM/b8qWPVuDBg3YsWOH+aDCrAUaVapUoU+fPqxfv968EKZRo0ZOmc1gMDxS2ZxFvvZI9u7dy2+//UbVqlXNY46HDx/mxx9/ZPDgweblgBs2bMDd3R2TyYSnpycNGzbEYDBw48YNLl26xPr165k6dSrdu3c3n2TQ0k/6u3bt4pNPPuHEiROkp6ebV5AkJyczf/58evToQenSpcnIyMDDw4MiRYqwZ88ePDw8aNu2LaGhoURERLBt2zZWrFhBXFwcn3zyiVU+RSibsjl7tr179+Lh4UGzZs1wcXExzwO+++67tGzZki+//JJhw4ZZPNegbIVLnvZIbt68ybBhw+jUqRPTpk3j9OnT5usGDBiA0WgkNDSU2bNn8+yzz7J+/XpGjhxJYmJitmMZLl++zOTJk5k3bx7vvfce77zzDm5ubhaVSHR0ND179mTIkCEkJCSwfv16XnzxRXbt2kVmZibt2rUjMDCQjz76KNv92rVrh5ubG5GRkcDdYbVly5axbds2vvjiC3bv3m3xJ35lU7aCks3FxYWoqCjzZdevX2f//v3MnTuXLVu2KJuDsjm7XBdJWloaGzduJDo6msWLFxMbG8vGjRuJj48H7u7GrVy5kqCgIDZs2ECDBg3YtWsXbdq0oW7dutmOvWjYsCFjx47l8OHD9OjRw+IfIikpiX/96194e3uzc+dOPv30U3bv3k2DBg1Yvnw5BoOBIkWKMHLkSFatWsW+ffuyTXgFBARkK8UiRYqYFwkom7I9ytkCAwP5/PPP6dmzp7I5KFtBkOsicXNz4/HHH+eVV14hLCyM119/nZUrV3L48GHzbYKDg5kzZw47d+40HzMQExPD0aNHzSc8zDpwqEGDBlb7Iby9vXF3d6dXr15UqVLFvDqiQ4cOREZGmpcFdu3alY4dOzJixAjCw8PJzMzk2rVrREVF8cILL5gfz5rL8JRN2QpyNmtStsLLYDQac33k0F9P+92kSROeeOIJpk6dStmyZbNdf+fOHVxdXVmxYgXLli1j/vz51K1b1/o/wf+XmppqnsDPyjF8+HBSU1NZsGCB+bI7d+7QvXt3Tpw4Qf369Tl58iSVKlVi6dKlVKpUSdmUTdmUzemyObs8zfxklURKSgru7u689957DBkyhOeff57OnTubr7969Srffvstq1at4vz588yYMcOmJQJkOyr0z6ssso60hburKTw9Pc1fmvXrr7/Su3dvm3+SUDZlUzZlK8zytYQga1XW3/72N5o2bcqiRYto0KABVatW5caNG/j7++Pj40O3bt14/fXXrRo4ty5cuMDJkyfN485ZZ8Z1dXWlXLlylCtXjqefflrZlE3ZlK3AZXM2+T6OJGut9AcffMDRo0dZt24dY8aMoXv37hw/fpzu3bs7pESyzrcTERGBl5eX+cR4H3zwAQMHDsy2skLZlE3ZlK0gZXNW+V7UnHX+pho1alCnTh2mTZtGQEAAs2bNMn+RjCNk7ZL+/PPP/P3vf2fXrl2MGDECk8nEvHnzeOyxx5RN2ZRN2QpkNmeVp8n2vzp37hx9+vTh/PnzTJ8+nX79+lkzW77duXOHli1bcu7cOdzd3XnrrbcYMWKEo2MBypZfypY/ypY/zpzNGVl0mKWLiwudOnVixIgReHl5WSuTxTw9PalcuTLPPPMMU6dOxcPDw9GRzJQtf5Qtf5Qtf5w5mzOyaI/EmWWdTdUZKVv+KFv+KFv+OHM2Z1Noi0REROyj8J0YX0RE7EpFIiIiFlGRiIiIRVQkIiJiERWJyF+8//77+Pj4ODqGSIGhIhGxkrVr1zJv3jxHxxCxOxWJiJWsW7eO+fPnOzqGiN2pSERExCIqEnmkHThwgKeffho/Pz8aNmzI0qVL77nNqlWr6Ny5MzVq1KBcuXI88cQTzJw5k4yMDPNtOnbsyPbt27l06RI+Pj7m/7JkZmayYMECWrZsiZ+fH9WrV2f48OHExsba5ecUsSWLzrUlUpAdO3aMbt264evry/jx40lPT+ff//43vr6+2W63ePFiatSoQUhICJ6enoSHhzN58mTi4+N57733ABg9ejTx8fFcvXqVadOm3bOtkSNHsmLFCnr16sWgQYO4cuUKCxcu5Ndff2XXrl14enra40cWsQmdIkUeWX369OE///kPP//8MwEBAQCcOXOG4OBg0tLSMBqNACQlJeHt7Z3tvm+88Qbr1q0jKirKfEK/Hj16cPz4cY4ePZrtthERETz33HPMnz+fXr16mS8/cOAAoaGhzJ49m/79+9vwJxWxLQ1tySMpPT2dXbt2ERoaai4RgOrVq9OuXbtst80qkfT0dIxGI7GxsTz55JMkJiZy+vTpHLe1YcMGihUrRvv27YmNjTX/lzVUtmfPHuv+cCJ2pqEteSTduHGD5ORkqlWrds91f73swIEDTJ48mV9++YWUlJRs18XHx+e4rbNnz5KQkEBQUNB9r4+JiclDchHnoyIReYjz58/TpUsXqlWrxrRp06hUqRKenp4cPnyYSZMmZZtwf5CMjAxKly7NkiVL7nu9Dn6Ugk5FIo+kMmXK4OXlxdmzZ++57s+Xffvtt5hMJr788ksqV65svvzChQu53lbVqlX5/vvvadKkCcWKFbMsuIgT0hyJPJJcXV155pln2LZtG5cuXTJffubMGb777rtst4O7y3ezmEwmFi5ceM9jFi1alLi4uGy3BejatSsZGRl88MEH99wna95FpCBzHT9+/HuODiHiCDVr1uTzzz9nw4YNmEwm9u/fz+jRowkICCAmJobx48fj4+PDsmXL2LVrF+np6Rw4cIAxY8bg4uLC9evX6d27N4GBgQBcvHiRbdu2YTQaMRqNnDx5kjp16lC5cmViY2OZP38+Bw8e5MaNGxw5coR169bx5ptv4ufnR/369R38bIjkn5b/yiNt3759TJw4kePHj+Pv788bb7xBdHQ0//73v817Cjt37mTy5MlERkbi6+tLz549adWqFV27dmXz5s20bt0auLtMeOTIkWzfvh2j0UhmZma2vY0VK1awdOlSTpw4gZubG5UqVaJdu3YMGTIk28oxkYJGRSIiIhbRHImIiFhERSIiIhZRkYiIiEVUJCIiYhEViYiIWERFIiIiFlGRiIiIRVQkIiJiERWJiIhYREUiIiIW+X8NSb3hkhphcgAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "col_dates_to_plot = ['compas_screening_date', 'c_offense_date', 'c_arrest_date',\n",
        "                    'vr_offense_date']\n",
        "\n",
        "for c in df.columns:\n",
        "  if c in col_dates_to_plot:\n",
        "    c_counts = df[c].value_counts()\n",
        "    date_count_df = pd.DataFrame({'date': c_counts.index, 'count': c_counts.values})\n",
        "    date_count_df['date'] = pd.to_datetime(date_count_df['date'], \n",
        "                                             format='%Y-%m-%d')\n",
        "    date_count_df.set_index(['date'], inplace=True)\n",
        "    date_count_df.plot()"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "These plots do not give any particular insights."
      ],
      "metadata": {
        "id": "aN9bZM4CvvY1"
      }
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6HqFZniUldW8"
      },
      "source": [
        "#### Graphical information - histograms by class label"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0oRMmln_rN-Z"
      },
      "source": [
        "Plotting number of priors"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 309
        },
        "id": "sSHuIpWjVUJc",
        "outputId": "57239d8c-d6db-4c19-825b-170d909bf09d"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "df_is_recid = df[df['is_recid'] != -1]\n",
        "sns.histplot(x=df_is_recid['priors_count'], hue='is_recid', kde=1, data=df_is_recid, binwidth=0.5)\n",
        "plt.xlabel(\"Number of priors\")\n",
        "plt.xlim(0 , 20)\n",
        "plt.ylim(0 , 3000)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-CG4C_jIljtg"
      },
      "source": [
        "Number of priors is a strongly discriminant column w.r.t. the class label."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "V12Qm77ArR73"
      },
      "source": [
        "Plotting juvenile crimes"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 309
        },
        "id": "eE0Ey2k1W0_3",
        "outputId": "73312977-7718-45c5-c0a7-47b5ccf390dc"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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/PDt37sTFxcVeYZTrJu+bADC5N8UtU5sIdc4u3OTdrMZf06upO4Gtb6rx61ZFaTN0YyT33vju3VHvOysriyZNmlRYpqCgoNIyDVnTpk1rZP5Vu/VWTUxMJCMjg/DwcLy9vfH29mb//v3Exsbi7e3NTTeVJImKxrr4+vqSkZGh6XmqqiqXLl3SlCnrGqXHKlPgWkazqnTIEUIIh2a35Dhy5EgOHDjA3r17zV89evRg3Lhx7N27l06dOuHn56cZ61JQUMDBgwfNzxh79epFbm4uiYmJ5jKJiYnk5eVpyhw8eFDTjJCQkEDLli0JDAysNM4iV71MAiCEEI2M3ZpVDQYDBoNBs8/d3Z3mzZsTGhoKwLRp01i+fDlBQUF06tSJV155BQ8PD8aPHw9Aly5dGDJkCHPmzGHlypUAzJkzh2HDhpmbTMaPH8/SpUuJiopi7ty5nDp1ipUrVzJ//vxKe6oCFLrq8VRlEgAhhGhM7N5btSKzZs0iPz+fefPmkZmZSc+ePYmPjzePcYSSBTHnz5/PuHHjABgxYgTLli0zH2/WrBlbt25l7ty5DBw4EIPBwPTp05kxY0aVYih0dcdbVuUQQohGpV4lx08//VSzrSgKCxcuZOHCheWeYzAYyuzter2uXbuyY8eOasVU6KqXSQCEEKKRqTfTx9VXha7uuFl1yLFTMEIIIeqEJMdKFLpIhxwhhGhs6lWzan1U6OouzapCCIfhXJiPkvN7nb2eqvcAz6ZVLr9//37WrFnDDz/8wIULF1i3bh0PPvhgLUZYNkmOlSh01UuzqhDCYejy83A5+N86e72rdw5HtSE55uXlERoayv33388TTzxRi5FVTJJjJcrukFMy2UBVhoIIIYSouoiICCIiIgCIioqyWxzyzLESha56dKg4WyRIk9QehRDCYUlyrESha8nSLpZTyBVLchRCCIclybEShS4lS11ZrukoNUchhHBckhwrYXR2odjJuYyao2RHIYRwVJIcq6BkrKNFzVHGOgohhMOS3qpVUOjqbjURgDxzFEKImpebm8vp06cBMJlMnDt3jqNHj9K8efMaWaexqqTmWAWFsqajEELUiSNHjtC/f3/69+9Pfn4+0dHR9O/fn5deeqlO45CaYxWU1BxlIgAhRMNn0ntw9c7hdfZ6qt7DpvL9+vUjMzOzlqKpOkmOVVDoqsfFMjlKd1UhRANU7KbHuVlze4dR70mzahUUuuhxU2VNRyGEaCwkOVZBoZs7riajZp8kRyGEcFySHKugzGWrJDkKIYTDkuRYBWWvzCHZUQghHJV0yCmHkpdj/r4InfXKHPkFKC4FNfuixS7IRyKEEPYnv4nLofvtF/P3RTm5uJk8NcfVjDR0mTmWp90QpUvV1zwTQghLzs7O5OXl4e7u3uiW1FNVlStXruDsXDNpTZJjFRQ6u+FabDG3Ko3rB08IUf95eHhQWFhIdnZ2uWWys7Np2tQx/xBv0qQJbm5uNXItSY5VUOTsWsYkAJIchRD1j5ubW4UJIi0trU6nYWuopENOFRQ6u+Fi2SFHao5CCOGwJDlWQaGTm/VQDjvFIoQQovZJcqyCQmc362ZVqTkKIYTDkuRYBYXObtarckhyFEIIhyXJsQqKnFzLmCFHkqMQQjgqSY5VUKxzxlk1afaZZIYcIYRwWJIcq0JRcLKoKKqSHIUQwmFJcqwiy0ZUVdZzFEIIhyXJsYp0FlMxqRbNrEIIIRyHJMcqUnSWydFOgQghhKh1khyryHISXxOSHYUQwlFJcqwiRdG+VTKUQwghHJckxypSddq3SvrjCCGE45LkWFUWyVFmyBFCCMdlt+T42muv0bdvX9q2bUvbtm0ZOnQon332mfm4qqpER0cTHByMv78/I0eO5Pjx45prZGZmEhkZSUBAAAEBAURGRpKZmakpc+zYMe6++278/f0JCQlh6dKl1RujqHPSbMp6jkII4bjslhxbtWrFc889x5dffklCQgL9+/fnwQcf5KeffgJg1apVrFu3jqVLl7Jnzx58fHwYM2YMOTk55mtMmTKFo0ePEhcXR1xcHEePHmXq1Knm49nZ2YwZMwZfX1/27NnDkiVLWLNmDWvXrrU5XtVJmxyNUukWQgiHZbfFjkeOHKnZ/vvf/87rr7/O119/TdeuXYmJiWH27NmMHj0agJiYGIKCgoiLi2PSpEmcOHGCXbt2sXPnTnr16gXAihUrGDFiBMnJyQQFBbFlyxby8/OJiYlBr9cTGhrKyZMnWb9+PTNmzLDqgVoR1Un7Vl1VJDkKIYSjsltyvJ7RaOSjjz4iLy+PXr16kZKSQmpqKoMGDTKX0ev19O3bl8OHDzNp0iQSExPx9PSkd+/e5jLh4eF4eHhw+PBhgoKCSExMpE+fPuj1enOZwYMH8+KLL5KSkkK7du3KjSk/P1+zXWjUDvovRrEqc6OuXr1KcnJyjV7TFvZ8bXuTe298Gut9Q+O896CgIJvK25Qcz549S4sWLTTJ5nr5+flcunSJtm3bVul6x44dIyIigoKCAjw8PNi0aRNdu3bl8OHDAPj4+GjK+/j4cOHCBQDS0tLw9vbW1P4URaFFixakpaWZy7Rq1crqGqXHKkqOlvfo1MRds31VcS73faguFxcXAmz8AGtKaW27MZJ7b3z33ljvGxr3vdvCprbBW265hU8++aTc4zt27OCWW26p8vWCgoLYu3cvu3fv5rHHHmPatGkkJSXZElKdMVk8cyyWZlUhhHBYNv2Gr6yXZ3FxsU3P8VxdXenQoQNhYWE8++yzdOvWjfXr1+Pn5wdAenq6pnx6ejq+vr4A+Pr6kpGRoYlJVVUuXbqkKVPWNUqP2cLo7KrZLlLqRYu0EEKIWmBz9ae85JeVlcWuXbusmkJtYTKZKCoqIjAwED8/PxISEszHCgoKOHjwoPkZY69evcjNzSUxMdFcJjExkby8PE2ZgwcPUlBQYC6TkJBAy5YtCQwMtCk2o5OLZrtI5yzzqwohhIOqNDkuWbKEm266iZtuuglFUYiMjDRvX//Vvn17tmzZwrhx46r0wosXL+bAgQOkpKRw7NgxnnvuOfbt28e9996LoihMmzaNVatWsX37dpKSkoiKisLDw4Px48cD0KVLF4YMGcKcOXNITEwkMTGROXPmMGzYMHN7+vjx49Hr9URFRZGUlMT27dtZuXIlUVFRNtVwAa46u+FsKtbsk3U5hBDCMVXaNtizZ08ee+wxAGJjYxk4cCAdO3bUlFEUBQ8PD8LCwvjTn/5UpRdOTU0lMjKStLQ0mjZtSteuXYmLi2Pw4MEAzJo1i/z8fObNm0dmZiY9e/YkPj4eLy8v8zViY2OZP3++OSGPGDGCZcuWmY83a9aMrVu3MnfuXAYOHIjBYGD69OnMmDGjSjFer9DZDdfCYoqve8uKUXCSCciFEMLhVJochw4dytChQwHIy8tj8uTJ3HbbbTf8wjExMRUeVxSFhQsXsnDhwnLLGAwGNm7cWOF1unbtyo4dO6oV4/WKdc64mYq5cn2/HJMRnKRjjhBCOBqbepWsX7++tuKo/xQFF9Wo2eVUfBWc3OwUkBBCiNpic5dLo9HI7t27OXPmDJmZmVY9WBVFYf78+TUWYH3iqmqfOeqMxYAkRyGEcDQ2JccjR47w8MMPc/78+XKHdThycrSsOZYkRyGEEI7GpuT41FNPUVBQwObNm+nTpw8Gg6G24qqXXFRt/1Qn41WM5ZQVQgjRcNmUHI8dO8YzzzzDiBEjaiuees3ZYvCGIjVHIYRwSDZ1tbScp7SxcbaoOSomqTcKIYQjsik5zpkzh7feeovs7Ozaiqdec7YY0yjJUQghHJNNzaq///477u7u3HrrrYwePZrWrVvjZDEht6IoPPnkkzUaZH1hOeBfkqMQQjgmm5Lj4sWLzd+/8cYbZZZx6OSoWPTQNcoEckII4YhsSo4//PBDbcXRIFjWHFVVkqMQQjgim5JjQEBAbcXRIOgsJys3SXIUQghHJBOD2sDyzTLJnONCCOGQbKo5du/evdKlnhRF4fvvv7+hoOorq1uXZlUhhHBINiXHO+64wyo5Go1Gzp49y+HDhwkJCaF79+41GmB9otNp711qjkII4ZhsSo4VLTP1448/Mm7cOP785z/fcFD1lqJtWJXkKIQQjqnGnjl269aNiRMn8uyzz9bUJesdRWeZHCU7CiGEI6rRDjm+vr6cOHGiJi9Zv1g0qxZT8fNXIYQQDVONJcfLly/zzjvvOPb8q4p2NiCTJEchhHBINj1zHDVqVJn7s7KySE5OpqioiA0bNtRIYPWRolO4fo2qYkWHzmTEpHMq/yQhhBANjk3J0WQyWfVWVRSFwMBA7rrrLh566CE6d+5cowHWJxatqhQpzrgVF5Lv6m6fgIQQQtQKm5Ljp59+WltxNAiWq3IU6lxwMxaSjyRHIYRwJDJDjg0s51Yt1DnjWlxkp2iEEELUFpuT4++//86iRYsIDw+nVatWtGrVivDwcBYvXszvv/9eGzHWG5bJsUhxpklxgZ2iEUIIUVtsSo7nzp2jX79+rFmzBr1ez6hRoxg1ahTu7u6sWrWKfv36ce7cudqK1e4su90U6lyk5iiEEA7I5vUcs7Ky+Pjjj7nzzjs1xw4cOMB9993Hc889x2uvvVajQdYXZdUc3YyFdopGCCFEbbGp5rhnzx6mTp1qlRgB+vbtS2RkJLt3766x4Ooby8WOC3UlvVWFEEI4FpuSY35+Pi1atCj3eIsWLcjPz7/hoOorq5qjJEchhHBINiXH4OBgtmzZQmGhdUIoKirigw8+ICQkpMaCq28sh3KUjnMUQgjhWGx65jh79mwmTpzIwIEDmTx5Mp06dQIgOTmZf/3rX/z888+89dZbtRJofWA9lMMFV6N0yBFCCEdjU3IcPXo0//znP1m0aBHz5s0zz5ajqiq+vr7ExMSUO8WcI5BmVSGEaBxsSo4AEyZMYNy4cRw5coSzZ88C0LZtW3r06IGzs82Xa1CsOuRIs6oQQjikamUzZ2dnbr/9dm6//faajqdeK7PmKEM5hBDC4VTaIefixYvcfvvtvPDCCxWWe+GFF+jVqxeXLl2qseDqm7KeOUrNUQghHE+lyXHDhg38/vvvzJo1q8Jys2bN4vLlyw69ZJXlDDlFisytKoQQjqjS5Pj5558zZswYvLy8Kizn5eXFuHHj2LFjR40FV99Yr8ohzapCCOGIKk2Ov/76KzfffHOVLhYaGsrp06erVHb58uUMHDiQtm3b0rFjRyZMmEBSUpKmjKqqREdHExwcjL+/PyNHjuT48eOaMpmZmURGRhIQEEBAQACRkZFkZmZqyhw7doy7774bf39/QkJCWLp0KaqqTXRVYf3M0QVXaVYVQgiHU2lyVBQFk8lUpYuVtRhyefbt28djjz3GZ599xvbt23F2duaee+7RrOyxatUq1q1bx9KlS9mzZw8+Pj6MGTOGnJwcc5kpU6Zw9OhR4uLiiIuL4+jRo0ydOtV8PDs7mzFjxuDr68uePXtYsmQJa9asYe3atVWK83qKAjqLBKkYjTZfRwghRP1WaW/VgIAAvv32WyZNmlTpxb777jsCAgKq9MLx8fGa7Q0bNhAQEMChQ4cYMWIEqqoSExPD7NmzGT16NAAxMTEEBQURFxfHpEmTOHHiBLt27WLnzp306tULgBUrVjBixAiSk5MJCgpiy5Yt5OfnExMTg16vJzQ0lJMnT7J+/XpmzJhR5WReygkVE9fOUQGdyYhJZ/lEUgghRENVac1x2LBhfPjhh5w8ebLCcidPniQuLo7hw4dXK5Dc3FxMJhMGgwGAlJQUUlNTGTRokLmMXq+nb9++HD58GIDExEQ8PT3p3bu3uUx4eDgeHh6aMn369EGv15vLDB48mAsXLpCSkmJznGWtzCGz5AghhGOptOY4c+ZMNm/ezKhRo3jxxRe55557NIP9i4uL+eijj3jmmWfw8vJixowZ1QpkwYIFdOvWzVwDTE1NBcDHx0dTzsfHhwsXLgCQlpaGt7e3pvanKAotWrQgLS3NXKZVq1ZW1yg91q5duzLjKW8CdZ1iAuVaLbFQ54yam0V+k6reafmuXr1KcnLyjV+omuz52vYm9974NNb7hsZ570FBQTaVrzQ5ent7s2XLFh566Nb7PZsAACAASURBVCEiIyN58skn6dSpE56enuTm5nLq1CkKCgpo2bIl7733Ht7e3jYH/de//pVDhw6xc+dOnJzqR/Pk9TXN6zlb9L8p0jnTzFmhsJzytnBxcSHAxg+wppQ2QzdGcu+N794b631D4753W1RphpywsDAOHDjAv/71L3bu3MnPP/9MTk4OXl5edO/enREjRjBx4kSaNWtmcwALFy4kPj6ejz/+WFOL8/PzAyA9PZ22bdua96enp+Pr6wuAr68vGRkZqKqqmef10qVLmjLp6ema1yzdLi1jC2dF5fqW1ULFRYZzCCGEg6nyklVNmzZl1qxZ7Nixg19//ZVLly7x66+/snPnTmbNmlWtxPj000/z4Ycfsn37djp37qw5FhgYiJ+fHwkJCeZ9BQUFHDx40PyMsVevXuTm5pKYmGguk5iYSF5enqbMwYMHKSgoMJdJSEigZcuWBAYG2hyz5Rsmk48LIYTjsWk9x5o0d+5c3n33XV577TUMBgOpqamkpqaSm5sLlDw7nDZtGqtWrWL79u0kJSURFRWFh4cH48ePB6BLly4MGTKEOXPmkJiYSGJiInPmzGHYsGHmZoPx48ej1+uJiooiKSmJ7du3s3LlSqKiomzuqQplTwQgs+QIIYRjsdsyGrGxsQDmYRqlnn76aRYuXAiUTEmXn5/PvHnzyMzMpGfPnsTHx2tm64mNjWX+/PmMGzcOgBEjRrBs2TLz8WbNmrF161bmzp3LwIEDMRgMTJ8+vdodh6zmV5VmVSGEcDh2S46Ws9iURVEUFi5caE6WZTEYDGzcuLHC63Tt2rXGprWTNR2FEMLx2a1ZtaGyXplDkqMQQjgaSY42slzw+KoseCyEEA5HkqONyqo5ygw5QgjhWCQ52qis6eOk5iiEEI5FkqONrIdyuEhyFEIIByPJ0UaWS1ZJb1UhhHA8khxt5KxYjnN0lnGOQgjhYCQ52shyWvRCnYvMkCOEEA5GkqONZBIAIYRwfJIcbWQ9fZw0qwohhKOR5GijsmqOrsarKKrJThEJIYSoaZIcbWQ5lKNIVzI9rTStCiGE45DkaCOdYj0JACCdcoQQwoFIcrRRWZMAAPLcUQghHIgkRxuVNbcqSLOqEEI4EkmONiprblWQ5CiEEI5EkqONypoEACQ5CiGEI5HkaKPyao6ybJUQQjgOSY42slzsuPSZo/vVK/YIRwghRC2Q5GijsiYBAGiWn2WPcIQQQtQCSY42spoE4I9m1aYF2fYIRwghRC2Q5GijcmuOBVJzFEIIRyHJ0UbW4xxLeqtKchRCCMchydFGVh1y/mhW9SjKw8lUbI+QhBBC1DBJjjYqr1lVh4pXQY49QhJCCFHDJDnaqLxmVZCmVSGEcBSSHG1kOUNOaW9VkOQohBCOQpKjjaxX5ZDkKIQQjkaSo42snzm6mPfIWEchhHAMkhxtpCglnW+ud1UpaWyVmqMQQjgGSY7VIBMBCCGEY5PkWA1WPVaVkh6r0qwqhBCOQZJjNVgP5/hjIoCrV3CRpauEEKLBk+RYDeU1q4LUHoUQwhFIcqwGZ6sp5GQiACGEcCSSHKvB8k2TmqMQQjgWuybH/fv3c9999xESEoLBYGDz5s2a46qqEh0dTXBwMP7+/owcOZLjx49rymRmZhIZGUlAQAABAQFERkaSmZmpKXPs2DHuvvtu/P39CQkJYenSpaiqtvZnC5kIQAghHJtdk2NeXh6hoaEsWbIEvV5vdXzVqlWsW7eOpUuXsmfPHnx8fBgzZgw5Odcm+J4yZQpHjx4lLi6OuLg4jh49ytSpU83Hs7OzGTNmDL6+vuzZs4clS5awZs0a1q5dW+24rZ45yhRyQgjhUJwrL1J7IiIiiIiIACAqKkpzTFVVYmJimD17NqNHjwYgJiaGoKAg4uLimDRpEidOnGDXrl3s3LmTXr16AbBixQpGjBhBcnIyQUFBbNmyhfz8fGJiYtDr9YSGhnLy5EnWr1/PjBkzUBTF5rhl8nEhhHBs9faZY0pKCqmpqQwaNMi8T6/X07dvXw4fPgxAYmIinp6e9O7d21wmPDwcDw8PTZk+ffpoaqaDBw/mwoULpKSkVCu28oZygDxzFEIIR2DXmmNFUlNTAfDx8dHs9/Hx4cKFCwCkpaXh7e2tqf0pikKLFi1IS0szl2nVqpXVNUqPtWvXrszXz8/PLz84pRiuq3Beva5ZtWl+VsXnVuDq1askJydX69yaYM/Xtje598ansd43NM57DwoKsql8vU2O9lbWM9BSrld1YLq2nefkdu08YyEGF4VC5yY2v6aLiwsBNn6ANaW0GboxkntvfPfeWO8bGve926LeNqv6+fkBkJ6ertmfnp6Or68vAL6+vmRkZGh6nqqqyqVLlzRlyrpG6bHqsGxWzXL10mxL06oQQjRs9TY5BgYG4ufnR0JCgnlfQUEBBw8eND9j7NWrF7m5uSQmJprLJCYmkpeXpylz8OBBCgoKzGUSEhJo2bIlgYGB1YrNcihHlps2OTbLl045QgjRkNk1Oebm5nL06FGOHj2KyWTi3LlzHD16lLNnz6IoCtOmTWPVqlVs376dpKQkoqKi8PDwYPz48QB06dKFIUOGMGfOHBITE0lMTGTOnDkMGzbM3Gwwfvx49Ho9UVFRJCUlsX37dlauXElUVFS1eqqC9ZJV2a6emm3psSqEEA2bXZ85HjlyhFGjRpm3o6OjiY6O5v777ycmJoZZs2aRn5/PvHnzyMzMpGfPnsTHx+Plda2mFhsby/z58xk3bhwAI0aMYNmyZebjzZo1Y+vWrcydO5eBAwdiMBiYPn06M2bMqHbcltPHZbt6aLYlOQohRMNm1+TYr18/q9lsrqcoCgsXLmThwoXlljEYDGzcuLHC1+natSs7duyodpyWnCy2c120yVGeOQohRMNWb5851meWHXJynbU9W6XmKIQQDZskx2qwSo4u7pptSY5CCNGwSXKsBsvkeMVJO6axWUEW3MDE5kIIIexLkmM1WK/K4UKhk6t528VUjPvVK3UdlhBCiBoiybEadBa9VY0oZDdpqtknnXKEEKLhkuRYDZY1RyMKWU2aafbJc0chhGi4JDlWg+UzR0mOQgjhWCQ5VoNlciwuo1lVkqMQQjRckhyrwXISgLJqjvLMUQghGi5JjtVg1ayqSrOqEEI4EkmO1eBURm9VSY5CCOE4JDlWg3WHHKyeOXoV5KCoJoQQQjQ8khyroayhHEXObuQ7X5spx1k14lGUV9ehCSGEqAGSHKuhrKEcgHXTqix6LIQQDZIkx2ooaygHWDetynNHIYRomCQ5VoNlhxyTWk7NUZKjEEI0SJIcq6G8mqOMdRRCCMcgybEaqvzMsQHVHGWFLSGEuEaSYzWUNUMONNxnjhuTchmeqGfwx2n8llts73CEEMLuJDlWQ1lDOaBhNqsezShi/uEsLl9V+PbSVWbvz7R3SEIIYXeSHKuhrGZVVS1jIoDCHHQmY12GZrN/JmnHYu45X8jpbKk9CiEaN0mO1aAooLNIkCag2MmFXFcP8z4dKl6FOXUcXdWl5RuJO33Fav/bJ2XyAiFE4ybJsZrK65TTkJ47/utEHkVlzHC3OfkKRUbpoSOEaLwkOVZTQx/OUWRUeePnsmuI6QUmdpwtqOOIhBCi/pDkWE0NfTjH1jP5pOaXPzH6myekaVUI0XhJcqymhtysqqoq/0zK1ey7K/uEZjvhfCFncqRjjhCicZLkWE3Olms6ljOFXODvKfVu6arEtCKOXLqq2RdzfAO9sk9p9knHHCFEYyXJsZos37jSmuP/mrbW7G+Zc5HuF47WUVRVkJfDxs9/1Oy6O+MIQfmpPH5+j2b/pp8uc7VIm0SFEKIxkORYTeVNBHDZw5sf/W/WHBuSvAtno52TjMmEy3/e4/Jfp/HRVV/NoZnndgLw57RDNC2+NrQjzeTK7ldWojtRj5K7EELUAUmO1WT9zPGa/wYNpVi5Nslcs4Js+qYcqKPIylB8FbeNL+H2/j+JuekOjNfFFpp3jkHqBc4PHEuTwHY8mLpfc+rrbjfj/tKTuP57PdTzCQ2EEKKmSHKspvKGcgBkujfncGBvzfF+p/fiUajtBFMn8q/QZPkCXA7u4orOldiWgzSHn2hZSP7L75J6xwjyF63nkZ6tNMf/e1N3fm3ig+vOD2iydjEUyhAPIYTjk+RYTZbJ0XRdcgT4ssMArrjozdtuxiIGndI+06ttStZl9NGzcT72LQCb/e7gdxdP83GDq8L40XeCq1vJDp0TISMi6Nlc+2Pxesu7AHD+di/6pXMg2zHmX1VVlQ9PX+GpJFee/TqLywVSMxZClHC2dwANlZOicn1+LFa1ybHARU9Cx4GM/Pk/5n09z33LocBw0j21z/xqg5J6Dv3L89GlnwdKQl3bZpimzKOdPXB3LkmELZq4oqRfAGBiW5Vvf79W7k3/ATx7Jh4X1YjTL8dxXzyVgilPo/q0rLF4Vb0HeDatvGANSc83MutAJv/5rQBw5qvLuWxLyefdwd6ENnepsziEEPWTJMdqKm+c4/W+aXsb4b8dwvvKZaBkrtVhJz5jU8+HazU23a8/0+TVBehySmp4xYqORe3u5ZhHW3MZJwWmhFybB9a5qBCXb0pqthNUJ/7KAHL++PG46NacT717cM+lb0qun5GKfsVCinsPQvWumUR/9c7hqHWUHD9OyWfOgUwuFWiH2JzJMRLxSTob+jdnZKC+nLOFEI2BJMdqqkpyNOqc+bxzBPd//555X+dLyXTI+IXT3h1rPCblchouuz7CZVc8yh/PBi+4GngwdDpfGUI1ZUcF6mnree3jv+J5E1md+5i3R5wx8UHatfLPdn6AjvmpdMs7W/JaRYU4HfgvaYP/TFbXcFQX1xuK3dPZA8MNXaESxcVk/+9/LPihkHczPMotllus8uCey/yti4654X4oOsd98lBkVDmXr+BbZKKZq+PepxDV0WiSY2xsLKtXryY1NZXg4GCio6Pp27dvta9nOZQjxaSnvS4fD0X73Oq4bwhnmgfS7vcU877hP+8kpu80VKUGfiGpKrpfknD5PA7nr79EMV2rDe02dOXh0OmkuWonJmjiBHNv8dLsyzXq+PCHa9nQ0+QKXKtpHnP1o+dtLzHx4pcs/jWOVkWZ6IzF+H/+Ls32xPNjy2581/pWzjdtVbJsiY3u821ds8mxMB+nU0noTv5I4ckkdl125ql2EzjbpIVV0bYFl6z2v3jCxM8HPua1gi9o0jEIY6eumDp1RW1ufX5DYVJVkn4v5ovzBXx5vpADqUXkFetx/u4Cg1q7Mba9OyMDm+DlIolSCCUzM9Phl1+Ij48nMjKSV199lfDwcGJjY3n33Xc5dOgQbdu2LfOcZe9+VeE1/3O1Bd+btElHh0on3RW667LpqLuC0x85olXW/3ji0AZN2eO+wfxmCCDV049ULz9y3Ly4L+JWAny0SctKYQFK9u8oWZfRXfgNlz3bcTp9XFPEiMIL7cbwQuAYqwTsp9cRO+Am+rV00+z/5fxlPvziJ82+zUUtSVHdrUJwNxbwl7P/Ye7ZT/A0FmqOXfT047s2t3L6pg5ccXXnios7Jp2T1TUs3Te0R+X3bslkQsm6jJKRii4jFeVSasn3v57gWHo+uwyhfN68O/sMXSjUWddsnU3FLDoTz/yzHxPbciCzOz1CsU7792K33N94IHU/Xa5coHP+edp5KDh1CMbUMQSTtz+q4SbUZiVf5o5N9mIshvw8lOxMcjKzSbl8hTNZRZzJVfm+sAlfGL1Jp0mFl2iCkRFuvzPOkEtECxW9lweqh1fJl7sXNNFX64+fOqGqUFSAciWv5H3Iz+Nqbh5Z+UWkFaikX1VIL4L0qzrOZBVS6OZJcxcIbGIi0F0h0NOJNs3ccNXrUZvoUd30Jffr4lp/77mKTCYTBUVGCoqu8nPyL7Rs3QZ3Zx3N3F1o4uoCTs4N/h5rWqNIjoMHD6Zr166sXr3avO/WW29l9OjRPPvss2WeU1ly/M7YlJ3FPuUed6eYlrpricM/+yKe1w3lKO2/o/7RHFusOIFbE3Q6ndUxVQXFeBWKi1H/qBmaj13381y675JLU457aGfqARjQ0o3XBjTHV2+drMpKjldUHfFX/flNLfv5m19RJjfnnjVvW/7TUv6oXZsUHSZFh1FxQlUUFK71ZSot4+bqjNN1/ziV0v+oJW+AqqqgmlBVFUVVUU0qFF9F/eN88/uBwjGPNlxwa15mzKVuzj3Lv36OoUfutRr9F4YQJnSdRYZL+UnaSTXSPj+ddgXpOKsWvVt1TuDsXPIHiflWlGu/dMw3xXX7dKg6XcmHbKZq/qfd/uN7k6mklcBkKhl/ajKhonLZ2ZNf9b4V3oMt9MZCvIwFNC3Ox8uYj5exAHeMKDqlJHZFB398j6JU/ResLb+IS98b8/9NoKol96+WvAeqqlKo6sh21pPtpCfL2Z1sJz0FTrY19+tUE60LL9Piag46VHSqqeT/ioJOp5T8n5I/hEu+QKeof3T7V659xkrpPVZ2n+X8+i1zt3rtZ0DVfl1FR77iTL7iTIHiTIHiQr7u2ldZfxyWamIswlCch8F4BUNxPk3UYlCUPz6iP/7/x2dbsktBuW5b+eOzvPYvkD+2//je8ue4KtTqllW1/07Ua/venTm46tekESTHoqIiWrZsyeuvv84999xj3j937lySkpL4z3/+U8HZQgghGiOHf7iQkZGB0WjEx0dby/Px8SEtLa2cs4QQQjRmDp8chRBCCFs5fHL09vbGycmJ9PR0zf709HR8fWt/ML4QQoiGx+GTo6urK2FhYSQkJGj2JyQk0Lt373LOEkII0Zg1inGO06dPZ+rUqfTs2ZPevXvzxhtvcPHiRSZNmmTv0IQQQtRDDl9zBBg7dizR0dG8/PLL9OvXj0OHDvHBBx8QEBBgLhMbG0v37t3x8/NjwIABHDhgxyWm6tD+/fu57777CAkJwWAwsHnzZnuHVCeWL1/OwIEDadu2LR07dmTChAkkJSXZO6xa99prr9G3b1/atm1L27ZtGTp0KJ999pm9w7KL5cuXYzAYmDdvnr1DqXXR0dEYDAbNV+fOne0dVp24ePEiTzzxBB07dsTPz4/evXuzb9++Ss9rFDVHgClTpjBlypQyj8XHx7NgwQLNJAH33ntvhZMEOIq8vDxCQ0O5//77eeKJJ+wdTp3Zt28fjz32GLfeeiuqqvLSSy9xzz33cPjwYZo3r3iMZEPWqlUrnnvuOTp27IjJZOLf//43Dz74IF988QU333xz5RdwEF9//TVvvvkmXbt2tXcodSYoKIhPPvnEvO3kVPnkHA1dZmYmw4YNIzw8nA8++ABvb29SUlKsRi+UxeHHOVZFdSYJcEStW7dm2bJlPPjgg/YOpc7l5uYSEBDA5s2bGTFihL3DqVPt2rXj2WefbTSPGbKyshgwYACrV69m6dKlhIaG8vLLL9s7rFoVHR3N9u3bOXjwoL1DqVPPP/88+/fvr1brSKNoVq1IUVER33//PYMGaRcBHjRoEIcPH7ZTVKKu5ebmYjKZMBhqdfrzesVoNPLhhx+Sl5dHr1697B1OnZk9ezajR4+mf//+9g6lTp05c4bg4GC6d+/O5MmTOXPmjL1DqnWffvopPXv2ZNKkSXTq1Ik777yTjRs3lsy4VYlG06xaHpkkQAAsWLCAbt26NYokcezYMSIiIigoKMDDw4NNmzY1mubFt956i9OnT7Nx40Z7h1KnbrvtNtavX09QUBCXLl3i5ZdfJiIigkOHDnHTTTfZO7xac+bMGV5//XWioqKYPXs2P/74I08//TQAkZGRFZ7b6JOjEH/96185dOgQO3fubBTPYYKCgti7dy/Z2dls27aNadOm8cknnxAaGlr5yQ1YcnIyzz//PDt37sTFpXEtaD106FDN9m233UZYWBjvvvsuM2bMsFNUtc9kMtGjRw/z47FbbrmF06dPExsbK8mxMjJJQOO2cOFC4uPj+fjjj2nXrp29w6kTrq6udOjQAYCwsDC+++471q9fz9q1a+0cWe1KTEwkIyOD8PBw8z6j0ciBAwd44403OH/+PG5udl5ZpY54enoSHBzM6dOn7R1KrfLz86NLly6afZ07d+bcuXOVntvonznKJAGN19NPP82HH37I9u3bG0239rKYTCaKiorsHUatGzlyJAcOHGDv3r3mrx49ejBu3Dj27t2Lq+uNLdjdkBQUFJCcnIyfn5+9Q6lV4eHhnDp1SrPv1KlTVRqF0OhrjtC4JwnIzc01//VoMpk4d+4cR48epXnz5g49jGXu3Lm8//77bNq0CYPBQGpqKgAeHh54enraObras3jxYiIiImjdujW5ubnExcWxb98+PvjgA3uHVutKx/ddz93dnebNmzt8k/IzzzzD8OHDadOmjfmZ45UrV7j//vvtHVqtioqKIiIigldeeYWxY8dy9OhRNm7cyN///vdKz5WhHH+IjY1l1apVpKamEhISwksvvcQdd9xh77Bq3d69exk1apTV/vvvv5+YmBg7RFQ3yuuV+vTTT7Nw4cI6jqbuTJs2jb1795KWlkbTpk3p2rUrTz75JIMH27bWnaMYOXJkoxjKMXnyZA4cOEBGRgYtWrTgtttu429/+xvBwcH2Dq3WffbZZzz//POcOnWKNm3a8PjjjzN16lTzOpTlkeQohBBCWGj0zxyFEEIIS5IchRBCCAuSHIUQQggLkhyFEEIIC5IchRBCCAuSHIUQQggLkhyFw9m7dy8Gg4EPP/zQ3qFUWUxMDGFhYdx0003ceeed5ZYrXbS2oZk2bRrdunXT7OvWrRvTpk2r0df58ssv6d+/P/7+/hgMBjIzM6t87ubNmzEYDKSkpNRoTJYMBgPR0dG1+hrixklyFNVS+ovE19eXs2fPWh2fMGGC1S9DUbaDBw+ycOFCevbsydq1a1m0aJG9Q2qQcnJyePTRR9HpdCxbtowNGzbg4eFh77BEAyXTx4kbUlRUxPLly1mxYoW9Q2mw9u3bB8Dy5ctp1qxZhWXnzZvHnDlz6iKsGrV69WpMJlOtvsZPP/1EZmYm8+bNY+TIkbX6Wjfi4sWLODvLr976TmqO4oZ069aNzZs3l1l7dHR5eXk1cp3SFWEqS4wAzs7ONGnSpEZety65uLjU+ooXpe9j06ZNa/V1blSTJk0kOTYAkhzFDfnLX/4CwKuvvlphuZSUFAwGA5s3b7Y6ZvkMpvS52okTJ4iMjCQgIIAOHTrw/PPPo6oq58+f54EHHqBt27YEBQWxevXqMl/TaDTy0ksvERwcTMuWLRk7diy//PKLVblTp04xceJE2rdvj5+fH/369WPbtm2aMqXNyF9++SXz588nKCiI1q1bV3jPRqORV155hR49euDr68vNN9/MokWLyM/P19x76cK7pRNjl/UeWb43Fb1/pa5/pnfkyBEMBgNvv/22VbmDBw9ave7FixeZOXMmnTt3xtfXl169evH6669rzit9thsXF8err75KaGgofn5+/OlPf7JaCqmsZ45lKSwsZMmSJdx66634+voSEhLCwoULuXLlSoXnjRw5kkceeQSAUaNGYTAYNM8zv/vuO+69914CAgLw9/dn+PDhfPXVV5XGA7Bt2zbuuusu/P39ad++PY899pjVH4PTpk3Dz8/P/LPZunVrOnbsyDPPPIPRaNSULevzysrK4q9//Ss333wzPj4+3HLLLSxbtszq3K1btzJw4EDatm1LmzZt6NWrF8uWLavSfQjbyJ8v4oa0adOGhx56iHfeeYennnqqRlfyeOyxx+jcuTPPPvssn3/+OcuXL6d58+Zs2rSJvn37snjxYrZs2cKiRYu45ZZbGDBggOb8lStXYjKZmDFjBpmZmWzYsIFRo0axf/9+mjdvDsCJEyeIiIjAz8+PWbNm4eHhwSeffMKjjz7Khg0bmDBhguaaTz/9NAaDgaeeeors7OwK4589ezbvvPMOo0aNYvr06Rw5coTVq1dz/PhxPvjgAxRFYcOGDbz33nskJCSwYcMGgFpZKq1Hjx506NCBrVu3mpNIqfj4eNzc3Pi///s/oKQGNmTIEEwmE4899hg+Pj58+eWXPPXUU1y+fJl58+Zpzl+1ahVOTk7MmDGD7OxsVq9ezeOPP87u3bttilFVVR566CH279/PI488QnBwMCdOnOD111/n559/Jj4+vtzJoufOncvNN9/Mhg0beOqpp+jcuTPt27cHSpqtx40bR7du3Zg3bx4uLi68//77jB07lq1bt9KvX79yY3r//feZOnUqYWFhLFq0iIyMDDZs2MChQ4f46quv8Pb2Npc1mUyMHz+eW2+9lX/84x988cUXrF271pxQy5Ofn8+oUaP47bffmDx5MgEBAXz77bcsWbKEs2fPsmbNGgC++OILJk+eTP/+/Vm0aBFOTk4kJydz6NAhm95nUTWSHMUN+8tf/sKmTZt49dVXWblyZY1dNywszLwA78SJE+nevTuLFi3ib3/7G3PnzgVg3LhxhISEsHnzZqvkmJ6eztdff22uafXr14/Ro0ezbt06nnnmGQAWLFhAy5YtSUhIQK/XA/D4448zZswYnnvuOf785z9rfiGXJs/KmsV++ukn3nnnHR544AHWr19v3t+mTRuWLl3KZ599xvDhw5kwYQLffPMNCQkJVom4po0dO5YVK1Zw6dIlWrRoAZT8Qt++fTuDBw82N+u+8MILFBUVceDAAXO5yZMn8+STT7J8+XIef/xxTe21sLCQffv2mddDNBgMLFiwgKSkJJuWgoqLi2PXrl18/PHHmh67PXr0IDIykoSEBAYNGlTmuQMHDiQ7O5sNGzZw1113mROeqqrMmTOH8PBwPvroI/NnWZpk/vGPf/D555+Xec2rV6/y97//nS5durBjxw7zz8ddd93FqFGjWLFiBS+88IKm/OjRo3n66ac1r/HOO+9UmBzXr19PcnIyX375pXld0YkTJxIYGMgLTwpOzgAACFhJREFUL7zAk08+SVBQEJ999hleXl7Ex8fj5ORU1bdVVJM0q4obVlp73Lx5M7/99luNXff6Go6TkxNhYWGoqsrDDz9s3m8wGOjUqRNnzpyxOv++++7T/BIfMGAAISEh7Ny5E4Dff/+dL774gnvuuYcrV66QkZFh/ho8eDDnz5+3Wij10UcfrdLzotJfuNOnT9fsj4qKwsnJqdxfyLVp7NixGI1Gtm/fbt63b98+UlNTGTduHFCSTLZt20ZERASKomjek0GDBpGfn8+3336rue59992nWSi4T58+AGV+JhXZunUrnTp1IiQkRPO6d9xxB4qisHfvXpvv+ccffyQ5OZnx48dz+fJl8zVzcnK46667+Oabb8ptsj1y5AhpaWlMnjzZnBih5I+ssLCwMj/DRx99VLPdp0+fSt+HrVu3Eh4ejre3t+a+77rrLuBah62mTZuSl5fHnj17bHgHRHVJzVHUiOtrj6tWraqRa7Zp00az3bRpU1xcXKxWL2/atKm5M8b1OnbsWOa+0mdNp0+fRlVVlixZwpIlS8qMIT09naCgIPN2u3btqhT72bNnURSFTp06afY3a9YMf3//Gv0joqpCQ0MJCQnhww8/ZPLkyUBJk6q7uzvDhw8H4NKlS2RmZrJp0yY2bdpU5nUs32vLz6n0DxJbxhgC/PLLLyQnJ5f5uZX1ulW9JsDMmTOZOXNmmWUuX76Mu7u71f7S54rXf/6lOnfurPkjA0o6Hfn7+2v2VWWs5S+//MJPP/1U6X1PmTKFbdu2ce+999KyZUsGDBjAn/70J0aMGFHp2oTCdpIcRY1o06YNDz/8MG+//TZPPfWU1fHy/vFadji4XllNRzpd2Y0dqmr7sqSlQwtKVwsvi2Wz4PU1iPqurKETY8eOJTo6mosXL9KiRQs+/vhjhg8fbh4PWHrO+PHjeeihh8q8ruUCueU18dn6mZhMJoKDg8v9Q8Uy8VT1mgCLFy8mLCyszDKlTcc3qryfzcqYTCb69+9v7txmqfQPMh8fH7766iu++OIL/vvf/7J7927ee+89hg0bxnvvvScJsoZJchQ15i9/+QvvvPMOr7zyitWx0tpEVlaWZn9tDgEpq2fqL7/8QkBAAHDtl46zs7O5CaumtG3bFlVVOXXqFF27djXvz87O5uLFiwwbNqzGXstgMFi9r0VFRVy8eNGq7Lhx43jxxRf56KOPCAoKIiMjg7Fjx5qPt2jRAi8vL4qLi2v8PalM+/bt+f777xkwYECN/aIv7ZTj6elp8/2Udi5LTk62etaZnJxs/jmqiRhzc3OrFJ+rqysRERFERESgqirPPfccK1eu5PDhw4SHh9dIPKKEPHMUNaZ169Y88sgj/Pvf/7ZKek2bNsXb25sDBw5o9sfGxtZaPO+9956mSevLL7/k+PHj5sTk4+NDv379eOuttzh//rzV+ZcuXar2a5fWRGNiYjT7//nPf2I0Gms0ObZv397qfX3zzTfLrJV36NCBsLAwtm7dSnx8PE2bNmXo0KHm405OTvzpT3/i008/5ccff7Q6/0bek8qMGTOGtLQ0qyEjUNLpJycnx+ZrhoWF0aFDB9atW1fm+RXdT+kQnDfffJOCggLz/gMHDnDkyJEa+wzHjBnDd999V+YzzJycHAoLC4GS5t/rKYpC9+7dAes/OsWNk5qjqFFz5szhnXfeISkpyWpYxyOPPMKKFSuYOXMmPXr04MCBA1YdXmqSj48Pw4cP56GHHiIrK4t//vOf+Pv7azrJLF++nGHDhnHHHXfw6KOP0r59e9LT0/nmm284ceIER44cqdZr33zzzTz88MO88847ZGdn079/f3744Qc2bdrEkCFDym3GrY5HHnmEOXPm8PDDDzNw4EB++ukndu/erRlmcL1x48axaNEijh07xqhRo6wG5y9evJh9+/YRERHBI488QkhICJmZmfz444988sknpKam1ljs15swYQLbtm1j7ty57N+/n/DwcHPte+vWrbz55psVDrsoi06nY82aNYwfP57w8HAefPBBWrduzYULF9i/fz/q/7dv/y6tg1EYx78KggEdFA3iUqHo1EHcWsHJDl0KXYq6dHBxqXSxIoIU0cE4ROjQoViHFlQQbLD+AClO/RscXHQUbKkoOHqnW++NdfDegCjPZ82b5LzTyck57+srlUql7b1dXV2sr6+zsLBAJBIhHo+3jnIMDw+TSqW82DaLi4tcXFwwNzfH7Ows4+PjvLy8cH19jeM41Go1fD4fyWSSRqPB1NRUaw/5fJ6hoSFCoZAnscgbJUfx1O/qMZ/Pv7uWTqd5eHjAcRzK5TLT09McHR29G1rxSiqV4ubmhmw2y+PjI8FgEMuy6O/vb60ZHR3l6uqKra0tDg4OqNfrDAwMEAgEWF1d/a/37+zs4PP5KJVKnJ+fY5omyWSSlZUVT/tDiUSCu7s7isUi1WqVYDBIuVwmGo22XR+LxVhbW+P5+bk1pfqnwcFBqtUqlmVxenpKoVCgr6+PsbGxv44ueK2zs5NSqUQul2N/f5+zszO6u7sZGRlhfn6eQCDwT8+dnJzk8vKS7e1tdnd3eXp6wjRNJiYm3p35dJuZmcEwDGzbJpPJYBgG4XCYTCbz4cfHZxmGQaVSwbZtjo+POTw8pKenB7/fz9LSUmsALR6PUywW2dvbo9lsYpom4XCY5eVlent7PYlF3nQ0m83PTzKIyJfY2NjAtm3q9fpXhyLyo6nnKPKN3N/fe1axiMjH9FtV5Bu4vb3l5OQEx3E8HeYRkfZUOYp8A7VaDcuyCIVCbG5ufnU4Ij+eeo4iIiIuqhxFRERclBxFRERclBxFRERclBxFRERclBxFRERclBxFRERcfgF6zb6ZhoIkuQAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "df_is_recid = df[df['is_recid'] != -1]\n",
        "sns.histplot(x=df_is_recid['juv_fel_count'], hue='is_recid', data=df_is_recid, kde=1, binwidth=0.5)\n",
        "plt.xlabel(\"Number of juvenile felonies\")\n",
        "plt.xlim(0 , 6)\n",
        "plt.ylim(0 , 5000)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 304
        },
        "id": "_dCw3MYlXz-0",
        "outputId": "330995a4-2d9d-46aa-9af8-c7e55770860b"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "df_is_recid = df[df['is_recid'] != -1]\n",
        "sns.histplot(x=df_is_recid['juv_misd_count'], hue='is_recid', data=df_is_recid, kde=1, binwidth=0.5)\n",
        "plt.xlabel(\"Number of juvenile misdemeanors\")\n",
        "plt.xlim(0 , 4)\n",
        "plt.ylim(0 , 7200)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Nsz62Ocolw-2"
      },
      "source": [
        "Juvenile felonies and misdemeanors are strongly discriminant as well."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "f5tFJoETf0T1"
      },
      "source": [
        "#### Graphical information - histograms of categorical attributes w.r.t. class label\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "a1g6fdI_Mdcs"
      },
      "source": [
        "Plotting race"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 314
        },
        "id": "kwz5E7qNbJxs",
        "outputId": "058d940c-2852-498e-9730-dc83db48af11"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "df_is_recid = df[df['is_recid'] != -1]\n",
        "sns.countplot(x=df_is_recid['race'], hue='is_recid', data=df_is_recid)\n",
        "plt.xticks(rotation=5)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nwQryPc8MfNH"
      },
      "source": [
        "Plotting age category"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 379
        },
        "id": "4Uvenp1DggLB",
        "outputId": "9fa4b632-4ccd-41a9-d1d9-b0d200176108"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "df_is_recid = df[df['is_recid'] != -1]\n",
        "sns.countplot(x=df_is_recid['age_cat'], hue='is_recid', data=df_is_recid)\n",
        "plt.xlabel(\"age range\")\n",
        "plt.xticks(rotation=45)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "uVt6qFHhMhVp"
      },
      "source": [
        "Plotting sex"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 335
        },
        "id": "EmigmuwZg-_V",
        "outputId": "85f22949-c810-47c5-fb38-24c392e85fe4"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "df_is_recid = df[df['is_recid'] != -1]\n",
        "sns.countplot(x=df_is_recid['sex'], hue='is_recid', data=df_is_recid)\n",
        "plt.xticks(rotation=45)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0yxmSO-JMkz5"
      },
      "source": [
        "Plotting charge degree"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 304
        },
        "id": "8dcK2FRej3Ds",
        "outputId": "08b94687-e50b-48ce-aee0-93adeaa20d56"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "df_is_recid = df[df['is_recid'] != -1]\n",
        "sns.countplot(x=df_is_recid['c_charge_degree'], hue='is_recid', data=df_is_recid)\n",
        "plt.xlabel(\"Felony, misdemeanor or other crime type\")\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "oRza0afppqcn"
      },
      "source": [
        "All the columns analyzed above seem to be discriminant at least in part w.r.t. the class label. "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7sPuk7VPmyQx"
      },
      "source": [
        "#### Graphical information - boxplots of numerical attributes"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 698
        },
        "id": "emN506yylTJC",
        "outputId": "43daff0d-5cdc-4a8c-d453-f2a8f6a334a6"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 11757 entries, 0 to 11756\n",
            "Data columns (total 10 columns):\n",
            " #   Column                   Non-Null Count  Dtype  \n",
            "---  ------                   --------------  -----  \n",
            " 0   days_b_screening_arrest  10577 non-null  float64\n",
            " 1   c_days_from_compas       11015 non-null  float64\n",
            " 2   v_decile_score           11757 non-null  int64  \n",
            " 3   age                      11757 non-null  int64  \n",
            " 4   juv_fel_count            11757 non-null  int64  \n",
            " 5   decile_score             11757 non-null  int64  \n",
            " 6   juv_misd_count           11757 non-null  int64  \n",
            " 7   juv_other_count          11757 non-null  int64  \n",
            " 8   priors_count             11757 non-null  int64  \n",
            " 9   is_recid                 11757 non-null  int64  \n",
            "dtypes: float64(2), int64(8)\n",
            "memory usage: 918.6 KB\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1440x720 with 10 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "numeric_cols_df.info()\n",
        "\n",
        "numeric_cols_df.plot(kind='box', subplots=True, sharex=False, sharey=False, notch=True, patch_artist=True, figsize=(20,10))\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "uSqs5LCYoGPA"
      },
      "source": [
        "#### Graphical information - scatterplots of numeric attributes"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 783
        },
        "id": "9-qziJxPoP3W",
        "outputId": "b1dfbb93-0c37-4232-d8c1-62162ad84fa0"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1684.2x1620 with 90 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "# numeric_cols_df.info()\n",
        "sns.pairplot((numeric_cols_df[numeric_cols_df['is_recid'] != -1]).sample(1000), hue=\"is_recid\")\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GtFgys1DvFpH"
      },
      "source": [
        "#### Graphical information - correlation matrix "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "35GY508sMyDM"
      },
      "source": [
        "Correlation matrix between attributes"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 796
        },
        "id": "fk9vX2mwsBq1",
        "outputId": "e1ff4e47-98bb-4c77-a541-0d76571fb151"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x720 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "plt.figure(figsize = (10, 10))\n",
        "sns.heatmap(numeric_cols_df.corr(), annot=True, fmt='.2f')\n",
        "plt.show()\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LDsLp6XSstwl"
      },
      "source": [
        "### Data quality"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "QMfZwpsDtO4a"
      },
      "source": [
        "#### Checking for inconsistencies"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rKPWj1UIwUBT"
      },
      "source": [
        "The *ProPublica* article suggested a discrepancy between the *name* column and *first* + *last* column. Let's check."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xkpKow-3xjlz",
        "outputId": "5c4953bc-5fc8-4352-de94-d0743f50c58c"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "11757\n"
          ]
        }
      ],
      "source": [
        "full_names = pd.Series(df['first'], dtype=\"string\")\n",
        "first_names = pd.Series(df['first'], dtype=\"string\")\n",
        "last_names = pd.Series(df['last'], dtype=\"string\")\n",
        "error_count = 0\n",
        "for i in range(len(full_names)):\n",
        "  if full_names[i] != first_names[i] + \" \" + last_names[i]:\n",
        "    error_count += 1\n",
        "\n",
        "print(error_count)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "btynMJon_ECW"
      },
      "source": [
        "We could not prove the discrepancy suggested by the article."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4HuxRlurCl9e"
      },
      "source": [
        "Let's check how many cases there are with arrest dates or charge dates within **more** than 30 days of a COMPAS assessment being conducted."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1pf0DufcDSAz",
        "outputId": "6f1552ea-ab46-424c-b3cb-960b304b9d87"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Count: 1181\n",
            "Percentage: 10.045079527090243\n"
          ]
        }
      ],
      "source": [
        "c_upper_bound = len(df[df['days_b_screening_arrest'] > 30])\n",
        "c_lower_bound = len(df[df['days_b_screening_arrest'] < -30])\n",
        "\n",
        "print(\"Count: {}\".format(c_upper_bound + c_lower_bound))\n",
        "print(\"Percentage: {}\".format((c_upper_bound + c_lower_bound)/len(df)*100))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4ECfxdeBwLYN"
      },
      "source": [
        "Checking if the jail-in and jail-out dates are coherent (i.e., if jail-out > jail-in for each row)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HOIQu6-CwbrY",
        "outputId": "093b08a8-5311-408c-bc22-a8838bf0659f"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Count: 302\n",
            "Percentage: 2.5686824870290037\n"
          ]
        }
      ],
      "source": [
        "jail_out_dates = pd.to_datetime(df.c_jail_out)\n",
        "jail_in_dates = pd.to_datetime(df.c_jail_in)\n",
        "\n",
        "c = 0\n",
        "for in_date, out_date in zip(jail_in_dates, jail_out_dates):\n",
        "  if (in_date > out_date):\n",
        "    c += 1\n",
        "\n",
        "print(\"Count: {}\".format(c))\n",
        "print(\"Percentage: {}\".format(c/len(df)*100))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "bYZ3oBHEABmz"
      },
      "source": [
        "#### Duplicate columns"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "85XOp_0rAoXA",
        "outputId": "05324879-d781-4956-8713-642e3d6a6e3d"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "metadata": {},
          "execution_count": 30
        }
      ],
      "source": [
        "df['compas_screening_date'].equals(df['screening_date'])"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UMvvUhMOAFvi"
      },
      "source": [
        "*compas_screening_date* is a duplicate of *screening_date*."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dBWq9ptVA-F5",
        "outputId": "9586d201-cfed-456d-a33f-8c67786267ff"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "metadata": {},
          "execution_count": 31
        }
      ],
      "source": [
        "df['decile_score'].equals(df['decile_score.1'])"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nueHn7YvA3pW"
      },
      "source": [
        "*decile_score* is a duplicate of *decile_score.1*."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "__o1w5j1tTg4"
      },
      "source": [
        "#### Null values"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3XuP-EcRtHQR"
      },
      "source": [
        "Calculating the percentage of null values"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "sIJQHAtMtHQR",
        "outputId": "57111d4a-6ea2-4cc1-f6cd-52c19dc37dbf"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                    columns  percentage\n",
              "34             num_vr_cases     100.000\n",
              "25              num_r_cases     100.000\n",
              "38           vr_charge_desc      92.500\n",
              "37          vr_offense_date      92.500\n",
              "36         vr_charge_degree      92.500\n",
              "35           vr_case_number      92.500\n",
              "20            c_arrest_date      84.200\n",
              "31                r_jail_in      79.080\n",
              "32               r_jail_out      79.080\n",
              "28       r_days_from_arrest      79.080\n",
              "30            r_charge_desc      69.010\n",
              "29           r_offense_date      68.500\n",
              "26            r_case_number      68.500\n",
              "19           c_offense_date      22.110\n",
              "17               c_jail_out      10.040\n",
              "15  days_b_screening_arrest      10.040\n",
              "16                c_jail_in      10.040\n",
              "23            c_charge_desc       6.370\n",
              "18            c_case_number       6.310\n",
              "21       c_days_from_compas       6.310\n",
              "45               score_text       0.130\n",
              "41             v_score_text       0.040\n",
              "39     v_type_of_assessment       0.000\n",
              "40           v_decile_score       0.000\n",
              "42         v_screening_date       0.000\n",
              "43       type_of_assessment       0.000\n",
              "44           decile_score.1       0.000\n",
              "33         is_violent_recid       0.000\n",
              "0                        id       0.000\n",
              "27          r_charge_degree       0.000\n",
              "24                 is_recid       0.000\n",
              "2                     first       0.000\n",
              "3                      last       0.000\n",
              "4     compas_screening_date       0.000\n",
              "5                       sex       0.000\n",
              "6                       dob       0.000\n",
              "7                       age       0.000\n",
              "8                   age_cat       0.000\n",
              "9                      race       0.000\n",
              "10            juv_fel_count       0.000\n",
              "11             decile_score       0.000\n",
              "12           juv_misd_count       0.000\n",
              "13          juv_other_count       0.000\n",
              "14             priors_count       0.000\n",
              "22          c_charge_degree       0.000\n",
              "1                      name       0.000\n",
              "46           screening_date       0.000"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-84136c17-7b7f-4d9d-90cd-9b29f7af3e55\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>columns</th>\n",
              "      <th>percentage</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>34</th>\n",
              "      <td>num_vr_cases</td>\n",
              "      <td>100.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>num_r_cases</td>\n",
              "      <td>100.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>38</th>\n",
              "      <td>vr_charge_desc</td>\n",
              "      <td>92.500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>37</th>\n",
              "      <td>vr_offense_date</td>\n",
              "      <td>92.500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>36</th>\n",
              "      <td>vr_charge_degree</td>\n",
              "      <td>92.500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>35</th>\n",
              "      <td>vr_case_number</td>\n",
              "      <td>92.500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>c_arrest_date</td>\n",
              "      <td>84.200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>31</th>\n",
              "      <td>r_jail_in</td>\n",
              "      <td>79.080</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>32</th>\n",
              "      <td>r_jail_out</td>\n",
              "      <td>79.080</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>r_days_from_arrest</td>\n",
              "      <td>79.080</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30</th>\n",
              "      <td>r_charge_desc</td>\n",
              "      <td>69.010</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>r_offense_date</td>\n",
              "      <td>68.500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>r_case_number</td>\n",
              "      <td>68.500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>c_offense_date</td>\n",
              "      <td>22.110</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>c_jail_out</td>\n",
              "      <td>10.040</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>days_b_screening_arrest</td>\n",
              "      <td>10.040</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>c_jail_in</td>\n",
              "      <td>10.040</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>c_charge_desc</td>\n",
              "      <td>6.370</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>c_case_number</td>\n",
              "      <td>6.310</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>c_days_from_compas</td>\n",
              "      <td>6.310</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>45</th>\n",
              "      <td>score_text</td>\n",
              "      <td>0.130</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>41</th>\n",
              "      <td>v_score_text</td>\n",
              "      <td>0.040</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>39</th>\n",
              "      <td>v_type_of_assessment</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>40</th>\n",
              "      <td>v_decile_score</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>42</th>\n",
              "      <td>v_screening_date</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>43</th>\n",
              "      <td>type_of_assessment</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>44</th>\n",
              "      <td>decile_score.1</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>33</th>\n",
              "      <td>is_violent_recid</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>id</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>r_charge_degree</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>is_recid</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>first</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>last</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>compas_screening_date</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>sex</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>dob</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>age</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>age_cat</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>race</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>juv_fel_count</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>decile_score</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>juv_misd_count</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>juv_other_count</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>priors_count</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>c_charge_degree</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>name</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>46</th>\n",
              "      <td>screening_date</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-84136c17-7b7f-4d9d-90cd-9b29f7af3e55')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
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              "\n",
              "    .colab-df-convert {\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
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              "      <script>\n",
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              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-84136c17-7b7f-4d9d-90cd-9b29f7af3e55');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
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              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 32
        }
      ],
      "source": [
        "n_of_points = len(df)\n",
        "percentages = []\n",
        "for attribute in df.columns:\n",
        "  nan_value_sum = df[attribute].isna().sum()\n",
        "  percentages.append(round((nan_value_sum/n_of_points)*100, 2)) \n",
        "\n",
        "# We will get rid of columns which have a >60% null value percentage\n",
        "null_counts = pd.DataFrame({\"columns\": df.columns,\n",
        "                            \"percentage\": percentages})\n",
        "null_counts['percentage'].astype(float)\n",
        "null_counts.sort_values(by=['percentage'], ascending=False).head(50)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HCJSJB6ytHQS"
      },
      "source": [
        "Barplot of each column w.r.t. its null values percentage"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 506
        },
        "id": "QtoPsL4wtHQS",
        "outputId": "8daf2e10-b661-4d9c-b60d-0cd999b8d29c"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1440x720 with 1 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ],
      "source": [
        "_ = null_counts.plot(x=\"columns\", y=\"percentage\", kind=\"bar\", figsize=(20,10))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "knoC7s3xFej-"
      },
      "source": [
        "Calculating null percentage of class label"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5eJPhnk6Fl_7",
        "outputId": "6ef4fea8-9ae2-4fa0-b147-9807cc1fc7ec"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Count: 719\n",
            "Percentage: 6.115505656204815\n"
          ]
        }
      ],
      "source": [
        "c_null_is_recid = len(df[df['is_recid'] == -1])\n",
        "print(\"Count: {}\".format(c_null_is_recid))\n",
        "print(\"Percentage: {}\".format((c_null_is_recid)/len(df)*100))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xnYHF-gTAzyb"
      },
      "source": [
        "## Data preparation"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "o4X8CZ03BWeC"
      },
      "source": [
        "### Problems"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HDW1i2vpE4dQ"
      },
      "source": [
        "#### Dropping duplicate columns"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": true,
        "id": "P6c4dfKVE4Fx"
      },
      "outputs": [],
      "source": [
        "duplicates = ['decile_score.1', 'screening_date', 'v_screening_date']\n",
        "df.drop(columns=duplicates, inplace = True)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pMFDC-ofBhzU"
      },
      "source": [
        "#### Dropping columns with high null value percentage (> 60%)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": true,
        "id": "Jd1EzI_fEUvU"
      },
      "outputs": [],
      "source": [
        "null_cols = ['num_vr_cases', 'num_r_cases', 'vr_charge_desc', \n",
        "          'vr_offense_date', 'vr_charge_degree',\n",
        "          'vr_case_number', 'c_arrest_date',\n",
        "          'r_jail_in', 'r_jail_out', 'r_days_from_arrest',\n",
        "          'r_charge_desc', 'r_offense_date', 'r_case_number']\n",
        "df.drop(columns=null_cols, inplace = True)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NMokay04FRQM"
      },
      "source": [
        "#### Dropping univariate columns"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "XxP5eDplFTom"
      },
      "outputs": [],
      "source": [
        "univariate_cols = ['v_type_of_assessment', 'type_of_assessment']\n",
        "df.drop(columns=univariate_cols, inplace = True)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "L0gk--E4FyB1"
      },
      "source": [
        "#### Dropping excessively discriminant columns "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "2W24O6u6HWPz"
      },
      "outputs": [],
      "source": [
        "for c in df.columns:\n",
        "  if c.startswith('v_') or c.startswith('vr_') or c.startswith('r_'):\n",
        "    df.drop(c, axis=1, inplace=True)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qwUKKs-iKXm1"
      },
      "source": [
        "#### Dropping IDs"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "AYcm9z-cJ55e"
      },
      "outputs": [],
      "source": [
        "id_cols = ['id', 'c_case_number']\n",
        "df.drop(columns=id_cols, inplace = True)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2GLUhthcMEXe"
      },
      "source": [
        "#### Dropping useless columns"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3ynB0wKRC6DN"
      },
      "source": [
        "Dropping *is_violent_recid*, which is a class label outside of our scope. Dropping also categorical variables with too much levels"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": true,
        "id": "Uq3oDNhvyg7W"
      },
      "outputs": [],
      "source": [
        "df.drop(columns=['is_violent_recid', 'compas_screening_date', 'name', 'first', 'last', \n",
        "                 'c_offense_date', 'c_days_from_compas', 'score_text'], inplace=True)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "V5vnKaF-C8AL"
      },
      "source": [
        "#### Dropping redundancies"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Ghqy_tlGX1hq"
      },
      "outputs": [],
      "source": [
        "redundancies = ['dob', 'age_cat']\n",
        "df.drop(columns=redundancies, inplace = True)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "sUL4yU06vqAO"
      },
      "source": [
        "#### Dropping dirty data"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "E15YhMOUW2VF"
      },
      "source": [
        "Removing rows where days before the screening arrest is <-30 and >30"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "IXdrBuVrV73i"
      },
      "outputs": [],
      "source": [
        "df.drop(df.loc[df['days_b_screening_arrest']<-30].index, inplace=True)\n",
        "df.drop(df.loc[df['days_b_screening_arrest']>30].index, inplace=True)\n",
        "df.drop(df.loc[df['is_recid'] == -1].index, inplace=True)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HfH13F_dFd_a"
      },
      "source": [
        "Removing rows with at least one null value"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "pr_oN6fSFZ24"
      },
      "outputs": [],
      "source": [
        "df.dropna(inplace=True)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ESV9PIFtpv8r"
      },
      "source": [
        "### Transformations"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Y8dI4P4bvi_n"
      },
      "source": [
        "#### New column creation"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0bdEn5qsiTxE"
      },
      "source": [
        "Deleting the columns containing the jail_in and jail_out dates and creating a new one containing the amount of days in jail."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "dMP1YY7hXArc"
      },
      "outputs": [],
      "source": [
        "days_in_prison = pd.Series(index=df.index, dtype='int')\n",
        "\n",
        "for ind in df.index:\n",
        "    jail_out_date = pd.to_datetime(df['c_jail_out'][ind])\n",
        "    jail_in_date = pd.to_datetime(df['c_jail_in'][ind])\n",
        "\n",
        "    if(jail_out_date < jail_in_date):\n",
        "      df.drop(ind, inplace=True)\n",
        "    else:\n",
        "      days_in_prison[ind] = (jail_out_date - jail_in_date).days\n",
        "\n",
        "df['days_in_prison'] = days_in_prison\n",
        "\n",
        "# Now these columns are redundant, thus we drop them\n",
        "df.drop('c_jail_in', axis=1, inplace=True)\n",
        "df.drop('c_jail_out', axis=1, inplace=True)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8UBhhs6uwro4"
      },
      "source": [
        "#### Unifying column values"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gUPc7BdNwveP"
      },
      "source": [
        "The *charge_desc* column contains way too many values for it to be useful in modeling. Thus, we categorize crimes in 7 macro-buckets."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Gb7vupKaeeSp"
      },
      "outputs": [],
      "source": [
        "charge_desc_col = df['c_charge_desc'].astype(str)\n",
        "\n",
        "for ind in charge_desc_col.index:\n",
        "  if(type(charge_desc_col[ind]) is str):\n",
        "    x = charge_desc_col[ind].lower()\n",
        "    if('assault' in x):\n",
        "      charge_desc_col[ind] = 'Assault'\n",
        "    elif ('robbery' in x):\n",
        "      charge_desc_col[ind] = 'Robbery'\n",
        "    elif ('poss' in x):\n",
        "      charge_desc_col[ind] = 'Possession of drugs'\n",
        "    elif ('battery' in x):\n",
        "      charge_desc_col[ind] = 'Battery'\n",
        "    elif ( 'burgl' in x or 'theft' in x ):\n",
        "      charge_desc_col[ind] = 'Burglary'\n",
        "    elif ( 'del' in x):\n",
        "      charge_desc_col[ind] = 'Drug delivery'\n",
        "    elif( 'dui' in x or 'driv' in x):\n",
        "      charge_desc_col[ind] = 'DUI'\n",
        "    else:\n",
        "      charge_desc_col[ind] = 'Other'\n",
        "\n",
        "df['c_charge_desc'] = charge_desc_col"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7KLkJE3ETZFX"
      },
      "source": [
        "#### Binarization of columns"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gmYXe5mkTdQt"
      },
      "source": [
        "Binarizing columns where the distributions are very strongly skewed towards one single value. "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "bmQ6r6n2TxNK"
      },
      "outputs": [],
      "source": [
        "df['priors_count'] = df['priors_count'].apply(lambda x: 'less than 10' if (x < 10) else '10 or more')\n",
        "df['juv_misd_count'] = df['juv_misd_count'].apply(lambda x: '0' if (x == 0) else '> 0')\n",
        "df['juv_other_count'] = df['juv_other_count'].apply(lambda x: '0' if (x == 0) else '> 0')\n",
        "df['juv_fel_count'] = df['juv_fel_count'].apply(lambda x: '0' if (x == 0) else '> 0')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "b_nG_PegUYPF"
      },
      "source": [
        "Checking final form of the dataset."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "i-n9MSdTUWsw",
        "outputId": "0a6c9d0e-f5d2-4538-ba8c-992af08d622f"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "Int64Index: 9123 entries, 0 to 11756\n",
            "Data columns (total 13 columns):\n",
            " #   Column                   Non-Null Count  Dtype   \n",
            "---  ------                   --------------  -----   \n",
            " 0   sex                      9123 non-null   category\n",
            " 1   age                      9123 non-null   int64   \n",
            " 2   race                     9123 non-null   category\n",
            " 3   juv_fel_count            9123 non-null   object  \n",
            " 4   decile_score             9123 non-null   int64   \n",
            " 5   juv_misd_count           9123 non-null   object  \n",
            " 6   juv_other_count          9123 non-null   object  \n",
            " 7   priors_count             9123 non-null   object  \n",
            " 8   days_b_screening_arrest  9123 non-null   float64 \n",
            " 9   c_charge_degree          9123 non-null   category\n",
            " 10  c_charge_desc            9123 non-null   object  \n",
            " 11  is_recid                 9123 non-null   int64   \n",
            " 12  days_in_prison           9123 non-null   int64   \n",
            "dtypes: category(3), float64(1), int64(4), object(5)\n",
            "memory usage: 1.0+ MB\n"
          ]
        }
      ],
      "source": [
        "df.info()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "bxK-bS0Ob_yA"
      },
      "source": [
        "## Modeling "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "R7tRJDYfgiUY"
      },
      "source": [
        "### Preprocessing"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cl04OgNPgnWY"
      },
      "source": [
        "Encoding categories as numbers"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "8Ialgkbagl3O"
      },
      "outputs": [],
      "source": [
        "number = preprocessing.LabelEncoder()\n",
        "for attribute in df.columns:\n",
        "  if df[attribute].dtype == object:\n",
        "    df[attribute] = df[attribute].astype('category')\n",
        "  if df[attribute].dtype == 'category':\n",
        "    df[attribute] = number.fit_transform(df[attribute])"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SqykKeLj3c4K"
      },
      "source": [
        "### Resampling"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fghTA8RZ4JZq"
      },
      "source": [
        "Class labels are not balanced, as we can see from the cell below."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "z0LQFvyU4WQu",
        "outputId": "a5f56e47-5cfc-4963-9afe-d401a9873601"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0    6005\n",
              "1    3118\n",
              "Name: is_recid, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 49
        }
      ],
      "source": [
        "df.is_recid.value_counts()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "K-gvCcsvW_ca"
      },
      "source": [
        "#### Oversampling"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "N9ir02rzhIVq"
      },
      "source": [
        "Let's try an oversampling strategy called SMOTE."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "OYWPRXwD-1mz"
      },
      "outputs": [],
      "source": [
        "X = df.drop('is_recid', axis=1)\n",
        "y = df['is_recid']\n",
        "\n",
        "seed = 131\n",
        "split = 0.2\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=split, random_state=seed)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ueES30dnGL3b"
      },
      "source": [
        "Let's use the SMOTE oversampling strategy and check class balance. As we can see from the cell below they are exactly balanced now."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5aAjI3X6Pe2V",
        "outputId": "0408e5f1-6e2c-45f0-f1b3-933c9a873b0f"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0    4782\n",
              "1    4782\n",
              "Name: is_recid, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 51
        }
      ],
      "source": [
        "X_train_over, y_train_over = SMOTE().fit_resample(X_train, y_train)\n",
        "training_set_over = pd.concat([X_train_over, y_train_over], axis=1)\n",
        "training_set_over.is_recid.value_counts()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "oc0YDFaKXDRp"
      },
      "source": [
        "#### Undersampling"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7aDeAuuBYbL1"
      },
      "source": [
        "Let's create an undersampled version of the dataset."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "_B__yTDoALI-"
      },
      "outputs": [],
      "source": [
        "temp_set = pd.concat([X_train, y_train], axis=1)\n",
        "recidives = temp_set[temp_set.is_recid == 1]\n",
        "non_recidives = temp_set[temp_set.is_recid == 0]\n",
        "\n",
        "non_recidives_resampled = resample(non_recidives, \n",
        "                       replace=True, \n",
        "                       n_samples=int(len(recidives) * 1.1),\n",
        "                       random_state=seed)\n",
        "\n",
        "training_set_under = pd.concat([recidives, non_recidives_resampled])\n",
        "X_train_under = training_set_under.drop('is_recid', axis=1)\n",
        "y_train_under = training_set_under['is_recid']"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HnBBMLRSYd-T"
      },
      "source": [
        "Checking balance."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dXYgYKXwAvXK",
        "outputId": "2c938f9e-8702-4f37-fd06-40c70273976f"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0    2767\n",
              "1    2516\n",
              "Name: is_recid, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 53
        }
      ],
      "source": [
        "training_set_under.is_recid.value_counts()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Gvh1Gn0fCap_"
      },
      "source": [
        "### Grid search "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6gd-4ifKZ4WI"
      },
      "source": [
        "#### Searching for best parameters: Random Forest"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "WSsChtvP4NYN",
        "outputId": "b374fe92-cc50-4716-def7-12e06adb803c"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Fitting 5 folds for each of 54 candidates, totalling 270 fits\n",
            "Fitting 5 folds for each of 54 candidates, totalling 270 fits\n"
          ]
        }
      ],
      "source": [
        "param_grid_rf = {'max_depth': [3, 5, 10],\n",
        "              'min_samples_split': [2, 5, 10],\n",
        "              'criterion': ['gini', 'entropy'],\n",
        "              'max_leaf_nodes': [5, 10, 15]}\n",
        "\n",
        "rf_grid_search = GridSearchCV(\n",
        "    estimator=RandomForestClassifier(),\n",
        "    param_grid=param_grid_rf,\n",
        "    cv=5,\n",
        "    verbose=1,\n",
        "    scoring='f1'\n",
        ")\n",
        "\n",
        "# Getting best parameters for oversampled set\n",
        "rf_grid_search.fit(X_train_over, y_train_over)\n",
        "best_params_rf_over = rf_grid_search.best_params_\n",
        "\n",
        "# Getting best parameters for undersampled set\n",
        "rf_grid_search.fit(X_train_under, y_train_under)\n",
        "best_params_rf_under = rf_grid_search.best_params_"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VgIpuTNNCfiM"
      },
      "source": [
        "#### Searching for best parameters: Naive Bayes"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dd059ngVCfiN",
        "outputId": "777c2e0e-0faf-47b6-b07c-4680ddcc22ea"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Fitting 5 folds for each of 100 candidates, totalling 500 fits\n",
            "Fitting 5 folds for each of 100 candidates, totalling 500 fits\n"
          ]
        }
      ],
      "source": [
        "param_grid_nb = {'var_smoothing': np.logspace(0,-9, num=100)}\n",
        "\n",
        "nb_grid_search = GridSearchCV(estimator=GaussianNB(), \n",
        "                 param_grid=param_grid_nb, \n",
        "                 cv=5,    \n",
        "                 verbose=1, \n",
        "                 scoring='f1') \n",
        "\n",
        "# Getting best parameters for oversampled set\n",
        "nb_grid_search.fit(X_train_over, y_train_over)\n",
        "best_params_nb_over = nb_grid_search.best_params_\n",
        "\n",
        "# Getting best parameters for undersampled set\n",
        "nb_grid_search.fit(X_train_under, y_train_under)\n",
        "best_params_nb_under = nb_grid_search.best_params_"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LOXer364Cfwf"
      },
      "source": [
        "#### Searching for best parameters: AdaBoost"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VCuhKr6cCfwg",
        "outputId": "07c9080b-903a-4024-9624-e56e4632d8b2"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Fitting 5 folds for each of 96 candidates, totalling 480 fits\n",
            "Fitting 5 folds for each of 96 candidates, totalling 480 fits\n"
          ]
        }
      ],
      "source": [
        "param_grid_ab = {'base_estimator__max_depth':[5, 10],\n",
        "              'base_estimator__min_samples_leaf':[2, 5],\n",
        "              'base_estimator__criterion': ['gini', 'entropy'],\n",
        "              'base_estimator__max_leaf_nodes': [5, 10], \n",
        "              'n_estimators':[10, 20, 50],\n",
        "              'learning_rate':[0.01, 0.1]}\n",
        "\n",
        "ab_grid_search = GridSearchCV(AdaBoostClassifier(DecisionTreeClassifier()), \n",
        "                              param_grid=param_grid_ab, \n",
        "                              cv=5,\n",
        "                              verbose=1, \n",
        "                              scoring='f1')\n",
        "\n",
        "# Getting best parameters for oversampled set\n",
        "ab_grid_search.fit(X_train_over, y_train_over)\n",
        "best_params_ab_over = ab_grid_search.best_params_\n",
        "\n",
        "# Getting best parameters for undersampled set\n",
        "ab_grid_search.fit(X_train_under, y_train_under)\n",
        "best_params_ab_under = ab_grid_search.best_params_\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0wDQW2EZbfja"
      },
      "source": [
        "### Fitting"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "K1GvEf32b9lZ"
      },
      "source": [
        "Below are the best parameters found from grid search."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3h0P67MRfKpJ",
        "outputId": "4c81f7cc-a232-4b5b-9770-9938d9f5e450"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "{'criterion': 'gini', 'max_depth': 3, 'max_leaf_nodes': 10, 'min_samples_split': 10}\n",
            "{'criterion': 'gini', 'max_depth': 5, 'max_leaf_nodes': 15, 'min_samples_split': 10}\n",
            "{'var_smoothing': 0.0004328761281083057}\n",
            "{'var_smoothing': 0.0008111308307896872}\n",
            "{'base_estimator__criterion': 'entropy', 'base_estimator__max_depth': 5, 'base_estimator__max_leaf_nodes': 5, 'base_estimator__min_samples_leaf': 2, 'learning_rate': 0.1, 'n_estimators': 10}\n",
            "{'base_estimator__criterion': 'gini', 'base_estimator__max_depth': 5, 'base_estimator__max_leaf_nodes': 5, 'base_estimator__min_samples_leaf': 2, 'learning_rate': 0.01, 'n_estimators': 50}\n"
          ]
        }
      ],
      "source": [
        "print(best_params_rf_over)\n",
        "print(best_params_rf_under)\n",
        "print(best_params_nb_over)\n",
        "print(best_params_nb_under)\n",
        "print(best_params_ab_over)\n",
        "print(best_params_ab_under)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Yp9kTEmoYBRu"
      },
      "source": [
        "#### Creating models"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1jO7ZInyULIE"
      },
      "source": [
        "Creating models with the best parameters found by grid search."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "JB0uBhYgBFwl"
      },
      "outputs": [],
      "source": [
        "models_over = []\n",
        "models_over.append((\"Random Forest\", RandomForestClassifier(criterion='entropy', \n",
        "                                                       max_depth=3,\n",
        "                                                       max_leaf_nodes=10,\n",
        "                                                       min_samples_split=2)))\n",
        "\n",
        "models_over.append((\"Naive Bayes\", GaussianNB(var_smoothing=0.0008111308307896872)))\n",
        "models_over.append((\"DT AdaBoost\", AdaBoostClassifier(DecisionTreeClassifier(criterion='entropy',\n",
        "                                                                             max_depth=5, \n",
        "                                                                             max_leaf_nodes=10,\n",
        "                                                                             min_samples_leaf=2),\n",
        "                                                      learning_rate=0.1,\n",
        "                                                      n_estimators=50)))\n",
        "\n",
        "models_under = []\n",
        "models_under.append((\"Random Forest\", RandomForestClassifier(criterion='entropy', \n",
        "                                                       max_depth=10,\n",
        "                                                       max_leaf_nodes=5,\n",
        "                                                       min_samples_split=2)))\n",
        "models_under.append((\"Naive Bayes\", GaussianNB(var_smoothing=0.0008111308307896872)))\n",
        "models_under.append((\"DT AdaBoost\", AdaBoostClassifier(DecisionTreeClassifier(criterion='gini',\n",
        "                                                                             max_depth=5, \n",
        "                                                                             max_leaf_nodes=5,\n",
        "                                                                             min_samples_leaf=2),\n",
        "                                                      learning_rate=0.01,\n",
        "                                                      n_estimators=50)))\n",
        "\n",
        "metrics = ['accuracy', 'recall', 'precision', 'f1']"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "RGGFYrBtYKKP"
      },
      "source": [
        "#### Fitting models on oversampling data"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "PuXojYNWXZQT"
      },
      "source": [
        "Now fitting the models on oversampling data."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JJvTz81YXdNx",
        "outputId": "d99616ce-9c1a-498d-9e4a-41f3e3ff2523"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Model: RandomForestClassifier(criterion='entropy', max_depth=3, max_leaf_nodes=10)\n",
            "test_accuracy - mean: 0.65, std: 0.02\n",
            "test_recall - mean: 0.68, std: 0.02\n",
            "test_precision - mean: 0.64, std: 0.02\n",
            "test_f1 - mean: 0.66, std: 0.02\n",
            "\n",
            "Model: GaussianNB(var_smoothing=0.0008111308307896872)\n",
            "test_accuracy - mean: 0.62, std: 0.01\n",
            "test_recall - mean: 0.74, std: 0.02\n",
            "test_precision - mean: 0.59, std: 0.02\n",
            "test_f1 - mean: 0.66, std: 0.01\n",
            "\n",
            "Model: AdaBoostClassifier(base_estimator=DecisionTreeClassifier(criterion='entropy',\n",
            "                                                         max_depth=5,\n",
            "                                                         max_leaf_nodes=10,\n",
            "                                                         min_samples_leaf=2),\n",
            "                   learning_rate=0.1)\n",
            "test_accuracy - mean: 0.69, std: 0.02\n",
            "test_recall - mean: 0.66, std: 0.01\n",
            "test_precision - mean: 0.71, std: 0.02\n",
            "test_f1 - mean: 0.68, std: 0.01\n",
            "\n"
          ]
        }
      ],
      "source": [
        "for name, model in models_over:\n",
        "    kfold = KFold(n_splits=10, random_state=seed, shuffle = True)\n",
        "    cv_results = cross_validate(model, X_train_over, y_train_over, cv=kfold, scoring=metrics)\n",
        "    print(f'Model: {model}')\n",
        "    for key in cv_results.keys():\n",
        "      if 'test' in key:\n",
        "        mean_metric = np.array(cv_results[key]).mean()\n",
        "        std_metric = np.array(cv_results[key]).std()\n",
        "        print(f'{key} - mean: {round(mean_metric, 2)}, std: {round(std_metric, 2)}')\n",
        "    print('')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DVlnGXEeYM8l"
      },
      "source": [
        "#### Fitting models on undersampling data"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cofE6FLKXhdZ"
      },
      "source": [
        "Now fitting the models on undersampling data."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xCmMhCV2Xm92",
        "outputId": "192001e5-d474-4a90-cb91-3ed68e15e508"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Fitting\n",
            "Model: RandomForestClassifier(criterion='entropy', max_depth=10, max_leaf_nodes=5)\n",
            "test_accuracy - mean: 0.65, std: 0.02\n",
            "test_recall - mean: 0.65, std: 0.02\n",
            "test_precision - mean: 0.63, std: 0.03\n",
            "test_f1 - mean: 0.64, std: 0.02\n",
            "\n",
            "Model: GaussianNB(var_smoothing=0.0008111308307896872)\n",
            "test_accuracy - mean: 0.62, std: 0.02\n",
            "test_recall - mean: 0.71, std: 0.03\n",
            "test_precision - mean: 0.58, std: 0.03\n",
            "test_f1 - mean: 0.64, std: 0.02\n",
            "\n",
            "Model: AdaBoostClassifier(base_estimator=DecisionTreeClassifier(max_depth=5,\n",
            "                                                         max_leaf_nodes=5,\n",
            "                                                         min_samples_leaf=2),\n",
            "                   learning_rate=0.01)\n",
            "test_accuracy - mean: 0.64, std: 0.02\n",
            "test_recall - mean: 0.69, std: 0.04\n",
            "test_precision - mean: 0.61, std: 0.03\n",
            "test_f1 - mean: 0.65, std: 0.03\n",
            "\n"
          ]
        }
      ],
      "source": [
        "print('Fitting')\n",
        "for name, model in models_under:\n",
        "    kfold = KFold(n_splits=10, random_state=seed, shuffle = True)\n",
        "    cv_results = cross_validate(model, X_train_under, y_train_under, cv=kfold, scoring=metrics)\n",
        "    print(f'Model: {model}')\n",
        "    for key in cv_results.keys():\n",
        "      if 'test' in key:\n",
        "        mean_metric = np.array(cv_results[key]).mean()\n",
        "        std_metric = np.array(cv_results[key]).std()\n",
        "        print(f'{key} - mean: {round(mean_metric, 2)}, std: {round(std_metric, 2)}')\n",
        "    print('')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1uhscZPeU0C7"
      },
      "source": [
        "## Evaluation "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_ZCeCoErnrQ2"
      },
      "source": [
        "### Choosing the best models"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "t8qS1uvye9sR"
      },
      "source": [
        "We keep the two best models according to metrics."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "uTt2nPUqW70F"
      },
      "outputs": [],
      "source": [
        "rf_final_model = models_over[0][1]\n",
        "rf_final_model.fit(X_train_over, y_train_over)\n",
        "rf_predictions_final = rf_final_model.predict(X_test)\n",
        "\n",
        "ab_final_model = models_over[2][1]\n",
        "ab_final_model.fit(X_train_over, y_train_over)\n",
        "ab_predictions_final = ab_final_model.predict(X_test)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "guUidb_pU7wv"
      },
      "source": [
        "### Comparing the best models chosen"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VBZKqDPcL0YO"
      },
      "source": [
        "#### Plotting confusion matrix"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "s50NTivTL90U"
      },
      "source": [
        "Creating the function"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "fxyLk5bKXSTx"
      },
      "outputs": [],
      "source": [
        "def make_confusion_matrix(cf, categories='auto', cbar=True, cmap='Blues', title=None):\n",
        "    group_counts = [f'{value}\\n' for value in cf.flatten()]\n",
        "\n",
        "    box_labels = [f'{v1}'.strip() for v1 in group_counts]\n",
        "    box_labels = np.asarray(box_labels).reshape(cf.shape[0],cf.shape[1])\n",
        "    sns.heatmap(cf, annot=box_labels, fmt='', cmap=cmap, cbar=cbar, \n",
        "                xticklabels=categories, yticklabels=categories)\n",
        "\n",
        "    plt.ylabel('True label')\n",
        "    plt.xlabel('Predicted label')\n",
        "    \n",
        "    if title:\n",
        "        plt.title(title)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "sOBNE4WzMEKZ"
      },
      "source": [
        "Plotting for AdaBoost"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jx378AZCXUch",
        "outputId": "5bec4014-5cfb-4baf-b4a4-488f7ae039e5"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "categories = ['0', '1']\n",
        "\n",
        "make_confusion_matrix(confusion_matrix(y_test, ab_predictions_final), \n",
        "                      categories=categories, cmap='YlGnBu', \n",
        "                      title='Confusion Matrix AdaBoost')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LanbhnWeMJ5-"
      },
      "source": [
        "Plotting for Random Forest"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qaoR_N76MMe4",
        "outputId": "6164e879-5d81-46b2-ee03-d137c721cbda"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "make_confusion_matrix(confusion_matrix(y_test, rf_predictions_final), \n",
        "                      categories=categories, cmap='YlGnBu', \n",
        "                      title='Confusion Matrix Random Forest')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hIhEGAayM_I6"
      },
      "source": [
        "#### Summary of metrics"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "PpwW_bAcNE2k"
      },
      "source": [
        "Summary for Random Forest"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "d_mHiONbX3Mh",
        "outputId": "0c8da3ad-2108-4764-b6cf-872d3a43950f"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.78      0.60      0.68      1223\n",
            "           1       0.45      0.66      0.53       602\n",
            "\n",
            "    accuracy                           0.62      1825\n",
            "   macro avg       0.61      0.63      0.60      1825\n",
            "weighted avg       0.67      0.62      0.63      1825\n",
            "\n"
          ]
        }
      ],
      "source": [
        "print(classification_report(y_test, rf_predictions_final))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cuxn3RadNG5f"
      },
      "source": [
        "Summary for AdaBoost"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Dqi8hQCGNLyr",
        "outputId": "57d233e1-becd-4518-d772-8298f4b7664f"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.77      0.72      0.74      1223\n",
            "           1       0.50      0.57      0.53       602\n",
            "\n",
            "    accuracy                           0.67      1825\n",
            "   macro avg       0.64      0.64      0.64      1825\n",
            "weighted avg       0.68      0.67      0.67      1825\n",
            "\n"
          ]
        }
      ],
      "source": [
        "print(classification_report(y_test, ab_predictions_final))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "U_z0WbhnNYBD"
      },
      "source": [
        "#### Plotting the ROC curve"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "v93e-soWX-KS",
        "outputId": "afbcde57-eae7-4fbe-af92-e907ea4bfa2a"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "one_hot_encoding = np.array(pd.get_dummies(y_test, columns = ['is_recid']))\n",
        "probs = []\n",
        "del models_over[1]\n",
        "\n",
        "for _, model in models_over:\n",
        "    probs.append(model.predict_proba(X_test))\n",
        "    \n",
        "fpr = dict()\n",
        "tpr = dict()\n",
        "roc_auc = dict()\n",
        "\n",
        "for i in range(len(np.unique(y))):\n",
        "    plt.figure()\n",
        "    m = 0\n",
        "\n",
        "    for name, _ in models_over:\n",
        "        fpr[i], tpr[i], _ = roc_curve(one_hot_encoding[:, i], probs[m][:, i])\n",
        "        roc_auc[i] = auc(fpr[i], tpr[i])\n",
        "\n",
        "        plt.plot(fpr[i], tpr[i], lw=2, label=name + f' (area = {roc_auc[i]:.2f})')\n",
        "        m += 1\n",
        "\n",
        "    plt.plot([0, 1], [0, 1], lw=2, linestyle='--')\n",
        "    plt.xlim([0.0, 1.0])\n",
        "    plt.ylim([0.0, 1.0])\n",
        "    plt.xlabel('False Positive Rate')\n",
        "    plt.ylabel('True Positive Rate')\n",
        "    plt.title('Class = ' + str(np.unique(y)[i]))\n",
        "    plt.legend(loc='lower right')\n",
        "\n",
        "    plt.show()"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "collapsed_sections": [
        "N60mKG63Qd2S",
        "r2spPvqqiNZL",
        "JHNhXICRwudC",
        "6HqFZniUldW8",
        "f5tFJoETf0T1",
        "7sPuk7VPmyQx",
        "uSqs5LCYoGPA",
        "QMfZwpsDtO4a",
        "bYZ3oBHEABmz",
        "__o1w5j1tTg4",
        "HDW1i2vpE4dQ",
        "pMFDC-ofBhzU",
        "NMokay04FRQM",
        "qwUKKs-iKXm1",
        "2GLUhthcMEXe",
        "V5vnKaF-C8AL"
      ],
      "name": "Progetto DM",
      "toc_visible": true,
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
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