{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Phi_K basic tutorial\n",
    "\n",
    "This notebook guides you through the basic functionality of the phik package. The package offers functionality on three related topics:\n",
    "\n",
    "1. Phik correlation matrix\n",
    "2. Significance matrix\n",
    "3. Outlier significance matrix\n",
    "\n",
    "For more information on the underlying theory, the user is referred to our paper."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%capture\n",
    "# install phik (if not installed yet)\n",
    "import sys\n",
    "\n",
    "!\"{sys.executable}\" -m pip install phik"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# import standard packages\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import itertools\n",
    "\n",
    "import phik\n",
    "\n",
    "from phik import resources\n",
    "from phik.binning import bin_data\n",
    "from phik.report import plot_correlation_matrix\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# if one changes something in the phik-package one can automatically reload the package or module\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Load data\n",
    "\n",
    "A simulated dataset is part of the phik-package. The dataset concerns fake car insurance data. Load the dataset here:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv( resources.fixture('fake_insurance_data.csv.gz') )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Take a first look at the data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's use a simple data.head() to get an idea of what the data looks like and inspect the different types of variables."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>car_color</th>\n",
       "      <th>driver_age</th>\n",
       "      <th>area</th>\n",
       "      <th>mileage</th>\n",
       "      <th>car_size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>black</td>\n",
       "      <td>26.377219</td>\n",
       "      <td>suburbs</td>\n",
       "      <td>156806.288398</td>\n",
       "      <td>XXL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>black</td>\n",
       "      <td>58.976840</td>\n",
       "      <td>suburbs</td>\n",
       "      <td>74400.323559</td>\n",
       "      <td>XL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>multicolor</td>\n",
       "      <td>55.744988</td>\n",
       "      <td>downtown</td>\n",
       "      <td>267856.748015</td>\n",
       "      <td>XXL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>metalic</td>\n",
       "      <td>57.629139</td>\n",
       "      <td>downtown</td>\n",
       "      <td>259028.249060</td>\n",
       "      <td>XXL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>green</td>\n",
       "      <td>21.490637</td>\n",
       "      <td>downtown</td>\n",
       "      <td>110712.216080</td>\n",
       "      <td>XL</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    car_color  driver_age      area        mileage car_size\n",
       "0       black   26.377219   suburbs  156806.288398      XXL\n",
       "1       black   58.976840   suburbs   74400.323559       XL\n",
       "2  multicolor   55.744988  downtown  267856.748015      XXL\n",
       "3     metalic   57.629139  downtown  259028.249060      XXL\n",
       "4       green   21.490637  downtown  110712.216080       XL"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Specify bin types\n",
    "\n",
    "The phik-package offers a way to calculate correlations between variables of mixed types. Variable types can be inferred automatically although we recommend variable types to be specified by the user. \n",
    "\n",
    "Because interval type variables need to be binned in order to calculate phik and the significance, a list of interval variables is created."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['driver_age', 'mileage']"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_types = {'severity': 'interval',\n",
    "             'driver_age':'interval',\n",
    "             'satisfaction':'ordinal',\n",
    "             'mileage':'interval',\n",
    "             'car_size':'ordinal',\n",
    "             'car_use':'ordinal',\n",
    "             'car_color':'categorical',\n",
    "             'area':'categorical'}\n",
    "\n",
    "interval_cols = [col for col, v in data_types.items() if v=='interval' and col in data.columns]\n",
    "interval_cols"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Visually inspect pairwise correlations"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Bin the interval variables\n",
    "\n",
    "To get a feeling for the data, let's bin the interval variables and create 2d histograms to inspect the correlations between variables. By binning the interval variables we can treat all variable types in the same way.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# bin the interval variables\n",
    "data_binned, binning_dict = bin_data(data, cols=interval_cols, retbins=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'driver_age': [(18.030700817879673, 28.34523864121504),\n",
       "  (28.34523864121504, 38.659776464550404),\n",
       "  (38.659776464550404, 48.974314287885775),\n",
       "  (48.974314287885775, 59.288852111221146),\n",
       "  (59.288852111221146, 69.60338993455652),\n",
       "  (69.60338993455652, 79.91792775789187),\n",
       "  (79.91792775789187, 90.23246558122725),\n",
       "  (90.23246558122725, 100.54700340456262),\n",
       "  (100.54700340456262, 110.86154122789799),\n",
       "  (110.86154122789799, 121.17607905123334)],\n",
       " 'mileage': [(53.54305708442213, 30047.010932306846),\n",
       "  (30047.010932306846, 60040.478807529274),\n",
       "  (60040.478807529274, 90033.94668275169),\n",
       "  (90033.94668275169, 120027.41455797412),\n",
       "  (120027.41455797412, 150020.88243319656),\n",
       "  (150020.88243319656, 180014.35030841897),\n",
       "  (180014.35030841897, 210007.81818364142),\n",
       "  (210007.81818364142, 240001.28605886383),\n",
       "  (240001.28605886383, 269994.75393408624),\n",
       "  (269994.75393408624, 299988.2218093087)]}"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "binning_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1152 with 12 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot each variable pair\n",
    "plt.rc('text', usetex=False)\n",
    "\n",
    "n=0\n",
    "for i in range(len(data.columns)):\n",
    "    n=n+i\n",
    "    \n",
    "ncols=3\n",
    "nrows=int(np.ceil(n/ncols))\n",
    "fig, axes = plt.subplots(nrows, ncols, figsize=(15,4*nrows))\n",
    "ndecimals = 0\n",
    "\n",
    "for i, comb in enumerate(itertools.combinations(data_binned.columns.values, 2)):\n",
    "    \n",
    "    c = int(i%ncols)\n",
    "    r = int((i-c)/ncols )\n",
    "\n",
    "    # get data\n",
    "    c0, c1 = comb\n",
    "    datahist = data_binned.groupby([c0,c1])[c0].count().to_frame().unstack().fillna(0)\n",
    "    datahist.columns = datahist.columns.droplevel()\n",
    "    \n",
    "    # plot data\n",
    "    img = axes[r][c].pcolormesh(datahist.values, edgecolor='w', linewidth=1)\n",
    "    \n",
    "    # axis ticks and tick labels\n",
    "    if c0 in binning_dict.keys():\n",
    "        ylabels = ['{1:.{0}f}_{2:.{0}f}'.format(ndecimals, binning_dict[c0][i][0], binning_dict[c0][i][1])\n",
    "                   for i in range(len(binning_dict[c0]))]\n",
    "    else:\n",
    "        ylabels = datahist.index\n",
    "\n",
    "    if c1 in binning_dict.keys():        \n",
    "        xlabels = ['{1:.{0}f}_{2:.{0}f}'.format(ndecimals, binning_dict[c1][i][0], binning_dict[c1][i][1])\n",
    "                    for i in range(len(binning_dict[c1]))]\n",
    "    else:\n",
    "        xlabels = datahist.columns\n",
    "    \n",
    "    # axis labels\n",
    "    axes[r][c].set_yticks(np.arange(len(ylabels)) + 0.5)\n",
    "    axes[r][c].set_xticks(np.arange(len(xlabels)) + 0.5)\n",
    "    axes[r][c].set_xticklabels(xlabels, rotation='vertical')\n",
    "    axes[r][c].set_yticklabels(ylabels, rotation='horizontal')    \n",
    "    axes[r][c].set_xlabel(datahist.columns.name)\n",
    "    axes[r][c].set_ylabel(datahist.index.name)    \n",
    "    axes[r][c].set_title('data')\n",
    "    \n",
    "plt.tight_layout()\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Correlation: mileage vs car_size\n",
    "\n",
    "From the above plots it seems like there might be an interesting a correlation between mileage and car_size. Let's see what phik correlation is measured for this data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "phik         =  0.77\n",
      "significance = 49.22\n"
     ]
    }
   ],
   "source": [
    "x, y = data[['mileage', 'car_size']].T.values\n",
    "\n",
    "print('phik         =  %.2f'%phik.phik_from_array(x, y, num_vars=['x']))\n",
    "print('significance = %.2f'%phik.significance_from_array(x, y, num_vars=['x'])[1])\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Indeed there is a correlation between these variables and the correlation is also significant. To better understand the correlation, we can have a look at the significance of excesses and deficits in the 2-dimensional contingency table, so-called \"outlier significances\"."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>y</th>\n",
       "      <th>L</th>\n",
       "      <th>M</th>\n",
       "      <th>S</th>\n",
       "      <th>XL</th>\n",
       "      <th>XS</th>\n",
       "      <th>XXL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>53.5_30047.0</th>\n",
       "      <td>6.882155</td>\n",
       "      <td>21.483476</td>\n",
       "      <td>18.076204</td>\n",
       "      <td>-8.209536</td>\n",
       "      <td>10.820863</td>\n",
       "      <td>-22.423985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30047.0_60040.5</th>\n",
       "      <td>20.034528</td>\n",
       "      <td>-0.251737</td>\n",
       "      <td>-3.408409</td>\n",
       "      <td>2.534277</td>\n",
       "      <td>-1.973628</td>\n",
       "      <td>-8.209536</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60040.5_90033.9</th>\n",
       "      <td>1.627610</td>\n",
       "      <td>-3.043497</td>\n",
       "      <td>-2.265809</td>\n",
       "      <td>10.215936</td>\n",
       "      <td>-1.246784</td>\n",
       "      <td>-8.209536</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90033.9_120027.4</th>\n",
       "      <td>-3.711579</td>\n",
       "      <td>-3.827278</td>\n",
       "      <td>-2.885475</td>\n",
       "      <td>12.999048</td>\n",
       "      <td>-1.638288</td>\n",
       "      <td>-7.185622</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120027.4_150020.9</th>\n",
       "      <td>-7.665861</td>\n",
       "      <td>-6.173001</td>\n",
       "      <td>-4.746762</td>\n",
       "      <td>9.629145</td>\n",
       "      <td>-2.841508</td>\n",
       "      <td>-0.504521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150020.9_180014.4</th>\n",
       "      <td>-7.533189</td>\n",
       "      <td>-6.063786</td>\n",
       "      <td>-4.660049</td>\n",
       "      <td>1.559370</td>\n",
       "      <td>-2.785049</td>\n",
       "      <td>6.765549</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180014.4_210007.8</th>\n",
       "      <td>-5.541940</td>\n",
       "      <td>-4.425929</td>\n",
       "      <td>-3.360023</td>\n",
       "      <td>-4.802787</td>\n",
       "      <td>-1.942469</td>\n",
       "      <td>10.520540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>210007.8_240001.3</th>\n",
       "      <td>-3.496905</td>\n",
       "      <td>-2.745103</td>\n",
       "      <td>-2.030802</td>\n",
       "      <td>-5.850529</td>\n",
       "      <td>-1.100873</td>\n",
       "      <td>8.723925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240001.3_269994.8</th>\n",
       "      <td>-5.275976</td>\n",
       "      <td>-4.207164</td>\n",
       "      <td>-3.186534</td>\n",
       "      <td>-8.616464</td>\n",
       "      <td>-1.830944</td>\n",
       "      <td>13.303101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>269994.8_299988.2</th>\n",
       "      <td>-8.014016</td>\n",
       "      <td>-6.458253</td>\n",
       "      <td>-4.973240</td>\n",
       "      <td>-12.868389</td>\n",
       "      <td>-2.989055</td>\n",
       "      <td>20.992824</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "y                          L          M          S         XL         XS  \\\n",
       "53.5_30047.0        6.882155  21.483476  18.076204  -8.209536  10.820863   \n",
       "30047.0_60040.5    20.034528  -0.251737  -3.408409   2.534277  -1.973628   \n",
       "60040.5_90033.9     1.627610  -3.043497  -2.265809  10.215936  -1.246784   \n",
       "90033.9_120027.4   -3.711579  -3.827278  -2.885475  12.999048  -1.638288   \n",
       "120027.4_150020.9  -7.665861  -6.173001  -4.746762   9.629145  -2.841508   \n",
       "150020.9_180014.4  -7.533189  -6.063786  -4.660049   1.559370  -2.785049   \n",
       "180014.4_210007.8  -5.541940  -4.425929  -3.360023  -4.802787  -1.942469   \n",
       "210007.8_240001.3  -3.496905  -2.745103  -2.030802  -5.850529  -1.100873   \n",
       "240001.3_269994.8  -5.275976  -4.207164  -3.186534  -8.616464  -1.830944   \n",
       "269994.8_299988.2  -8.014016  -6.458253  -4.973240 -12.868389  -2.989055   \n",
       "\n",
       "y                        XXL  \n",
       "53.5_30047.0      -22.423985  \n",
       "30047.0_60040.5    -8.209536  \n",
       "60040.5_90033.9    -8.209536  \n",
       "90033.9_120027.4   -7.185622  \n",
       "120027.4_150020.9  -0.504521  \n",
       "150020.9_180014.4   6.765549  \n",
       "180014.4_210007.8  10.520540  \n",
       "210007.8_240001.3   8.723925  \n",
       "240001.3_269994.8  13.303101  \n",
       "269994.8_299988.2  20.992824  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "phik.outlier_significance_from_array(x, y, num_vars=['x'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The values displayed in the matrix are the significances of the outlier frequencies, i.e. a large value means that the measured frequency for that bin is significantly different from the expected frequency in that bin.\n",
    "\n",
    "Let's visualise for easier interpretation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "outlier_signifs = phik.outlier_significance_from_array(x, y, num_vars=['x'])\n",
    "\n",
    "zvalues = outlier_signifs.values\n",
    "xlabels = outlier_signifs.columns\n",
    "ylabels = outlier_signifs.index\n",
    "xlabel = 'x'\n",
    "ylabel = 'y'\n",
    "\n",
    "plot_correlation_matrix(zvalues, x_labels=xlabels, y_labels=ylabels, \n",
    "                        x_label=xlabel,y_label=ylabel,\n",
    "                        vmin=-5, vmax=5, title='outlier significance',\n",
    "                        identity_layout=False, fontsize_factor=1.2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# $\\phi_k$ functions for dataframes\n",
    "\n",
    "In our data we have 5 different columns, meaning we have to evaluate 4+3+2+1=10 pairs of variables for possible correlations. In a large dataset, with many different variables, this can easily become a cumbersome task. Can we do this more efficient? yes! We have provided functions that work on dataframes, to allow you to calculate the phik correlation, significance and outlier significance for all different variable combinations at once.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The functions are by default available after import of the phik package."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# $\\phi_k$ correlation matrix\n",
    "\n",
    "Now let's start calculating the phik correlation coefficient between pairs of variables. \n",
    "\n",
    "Note that the original dataset is used as input, the binning of interval variables is done automatically."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>car_color</th>\n",
       "      <th>driver_age</th>\n",
       "      <th>area</th>\n",
       "      <th>mileage</th>\n",
       "      <th>car_size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>car_color</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.389671</td>\n",
       "      <td>0.590456</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>driver_age</th>\n",
       "      <td>0.389671</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.105506</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>area</th>\n",
       "      <td>0.590456</td>\n",
       "      <td>0.105506</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mileage</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.768589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>car_size</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.768589</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            car_color  driver_age      area   mileage  car_size\n",
       "car_color    1.000000    0.389671  0.590456  0.000000  0.000000\n",
       "driver_age   0.389671    1.000000  0.105506  0.000000  0.000000\n",
       "area         0.590456    0.105506  1.000000  0.000000  0.000000\n",
       "mileage      0.000000    0.000000  0.000000  1.000000  0.768589\n",
       "car_size     0.000000    0.000000  0.000000  0.768589  1.000000"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "phik_overview = data.phik_matrix(interval_cols=interval_cols)\n",
    "phik_overview"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "When no interval columns are provided, the code makes an educated guess"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "interval columns not set, guessing: ['driver_age', 'mileage']\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>car_color</th>\n",
       "      <th>driver_age</th>\n",
       "      <th>area</th>\n",
       "      <th>mileage</th>\n",
       "      <th>car_size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>car_color</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.389671</td>\n",
       "      <td>0.590456</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>driver_age</th>\n",
       "      <td>0.389671</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.105506</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>area</th>\n",
       "      <td>0.590456</td>\n",
       "      <td>0.105506</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mileage</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.768589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>car_size</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.768589</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            car_color  driver_age      area   mileage  car_size\n",
       "car_color    1.000000    0.389671  0.590456  0.000000  0.000000\n",
       "driver_age   0.389671    1.000000  0.105506  0.000000  0.000000\n",
       "area         0.590456    0.105506  1.000000  0.000000  0.000000\n",
       "mileage      0.000000    0.000000  0.000000  1.000000  0.768589\n",
       "car_size     0.000000    0.000000  0.000000  0.768589  1.000000"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.phik_matrix()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x396 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_correlation_matrix(phik_overview.values, x_labels=phik_overview.columns, y_labels=phik_overview.index, \n",
    "                        vmin=0, vmax=1, color_map='Blues', title=r'correlation $\\phi_K$', fontsize_factor=1.5,\n",
    "                        figsize=(7,5.5))\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Global correlation: $g_k$\n",
    "\n",
    "The global correlation coefficient is a measure of the total correlation of one variable to all other variables in the dataset. They give an indication of how well on variable can be modelled in terms of the other variables. A calculation of the global correlation coefficient is provided within the phik package."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "car_color 0.6760316805291614\n",
      "driver_age 0.41913014836289686\n",
      "area 0.6057526929030086\n",
      "mileage 0.7685888294891848\n",
      "car_size 0.7685888294891848\n"
     ]
    }
   ],
   "source": [
    "global_correlation, global_labels = data.global_phik(interval_cols=interval_cols)\n",
    "for c, l in zip(global_correlation, global_labels):\n",
    "    print(l, c[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 252x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_correlation_matrix(global_correlation, x_labels=[''], y_labels=global_labels, \n",
    "                        vmin=0, vmax=1, figsize=(3.5,4),\n",
    "                        color_map='Blues', title=r'$g_k$',\n",
    "                        fontsize_factor=1.5)\n",
    "plt.tight_layout()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Statistical significance of the correlation: $Z$-score\n",
    "\n",
    "When assessing correlations it is good practise to evaluate both the correlation and the significance of the correlation: a large correlation may be statistically insignificant, and vice versa a small correlation may be very significant. For instance, scipy.stats.pearsonr returns both the pearson correlation and the p-value. Similarly, the phik package offers functionality the calculate a significance matrix. Significance is defined as:\n",
    "\n",
    "$$Z = \\Phi^{-1}(1-p)\\ ;\\quad \\Phi(z)=\\frac{1}{\\sqrt{2\\pi}} \\int_{-\\infty}^{z} e^{-t^{2}/2}\\,{\\rm d}t $$\n",
    "\n",
    "Several corrections to the 'standard' p-value calculation are taken into account, making the method more robust for low statistics and sparse data cases. The user is referred to our paper for more details.\n",
    "\n",
    "As a result, the calculation may take a few seconds."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>car_color</th>\n",
       "      <th>driver_age</th>\n",
       "      <th>area</th>\n",
       "      <th>mileage</th>\n",
       "      <th>car_size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>car_color</th>\n",
       "      <td>85.454073</td>\n",
       "      <td>19.839441</td>\n",
       "      <td>37.584186</td>\n",
       "      <td>-0.622065</td>\n",
       "      <td>-0.620222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>driver_age</th>\n",
       "      <td>19.839441</td>\n",
       "      <td>84.331822</td>\n",
       "      <td>1.814443</td>\n",
       "      <td>-0.679303</td>\n",
       "      <td>-0.509666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>area</th>\n",
       "      <td>37.584186</td>\n",
       "      <td>1.814443</td>\n",
       "      <td>72.420956</td>\n",
       "      <td>-0.666399</td>\n",
       "      <td>-0.361338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mileage</th>\n",
       "      <td>-0.622065</td>\n",
       "      <td>-0.679303</td>\n",
       "      <td>-0.666399</td>\n",
       "      <td>91.229648</td>\n",
       "      <td>49.233473</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>car_size</th>\n",
       "      <td>-0.620222</td>\n",
       "      <td>-0.509666</td>\n",
       "      <td>-0.361338</td>\n",
       "      <td>49.233473</td>\n",
       "      <td>69.041094</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            car_color  driver_age       area    mileage   car_size\n",
       "car_color   85.454073   19.839441  37.584186  -0.622065  -0.620222\n",
       "driver_age  19.839441   84.331822   1.814443  -0.679303  -0.509666\n",
       "area        37.584186    1.814443  72.420956  -0.666399  -0.361338\n",
       "mileage     -0.622065   -0.679303  -0.666399  91.229648  49.233473\n",
       "car_size    -0.620222   -0.509666  -0.361338  49.233473  69.041094"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "significance_overview = data.significance_matrix(interval_cols=interval_cols)\n",
    "significance_overview"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x396 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_correlation_matrix(significance_overview.fillna(0).values, x_labels=significance_overview.columns, \n",
    "                        y_labels=significance_overview.index, vmin=-5, vmax=5, title='significance', \n",
    "                        usetex=False, fontsize_factor=1.5, figsize=(7,5.5))\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Outlier significance\n",
    "\n",
    "The normal pearson correlation between two interval variables is easy to interpret. However, the phik correlation between two variables of mixed type is not always easy to interpret, especially when it concerns categorical variables. Therefore, functionality is provided to detect \"outliers\": excesses and deficits over the expected frequencies in the contingency table of two variables. \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Example 1: car_color versus area\n",
    "\n",
    "For the categorical variable pair car_color - area we measured:\n",
    "\n",
    "$$\\phi_k = 0.59 \\, ,\\quad\\quad \\mathrm{significance} = 37.6$$\n",
    "\n",
    "Let's use the outlier significance functionality to gain a better understanding of the significance correlation between car color and area.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "c1 = 'car_color'\n",
    "c0 = 'area'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>car_color</th>\n",
       "      <th>black</th>\n",
       "      <th>blue</th>\n",
       "      <th>gray</th>\n",
       "      <th>green</th>\n",
       "      <th>metalic</th>\n",
       "      <th>multicolor</th>\n",
       "      <th>red</th>\n",
       "      <th>white</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>area</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>country_side</th>\n",
       "      <td>-5.636485</td>\n",
       "      <td>-5.277175</td>\n",
       "      <td>-1.688032</td>\n",
       "      <td>5.824664</td>\n",
       "      <td>6.506020</td>\n",
       "      <td>0.092630</td>\n",
       "      <td>-2.282290</td>\n",
       "      <td>-1.193468</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>downtown</th>\n",
       "      <td>-16.444319</td>\n",
       "      <td>-8.209536</td>\n",
       "      <td>3.450521</td>\n",
       "      <td>14.176441</td>\n",
       "      <td>12.238785</td>\n",
       "      <td>2.582260</td>\n",
       "      <td>-3.863796</td>\n",
       "      <td>-4.400847</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hills</th>\n",
       "      <td>-8.209536</td>\n",
       "      <td>3.054306</td>\n",
       "      <td>9.244711</td>\n",
       "      <td>-2.097600</td>\n",
       "      <td>-3.022553</td>\n",
       "      <td>4.789665</td>\n",
       "      <td>2.695864</td>\n",
       "      <td>-1.092375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>suburbs</th>\n",
       "      <td>19.533221</td>\n",
       "      <td>8.315558</td>\n",
       "      <td>-8.209536</td>\n",
       "      <td>-8.209536</td>\n",
       "      <td>-8.209536</td>\n",
       "      <td>-6.529846</td>\n",
       "      <td>1.667814</td>\n",
       "      <td>3.964555</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unpaved_roads</th>\n",
       "      <td>13.043553</td>\n",
       "      <td>-1.776804</td>\n",
       "      <td>-6.095289</td>\n",
       "      <td>-5.532779</td>\n",
       "      <td>-4.566500</td>\n",
       "      <td>-3.829519</td>\n",
       "      <td>-1.339881</td>\n",
       "      <td>1.074386</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "car_color          black      blue      gray      green    metalic  \\\n",
       "area                                                                 \n",
       "country_side   -5.636485 -5.277175 -1.688032   5.824664   6.506020   \n",
       "downtown      -16.444319 -8.209536  3.450521  14.176441  12.238785   \n",
       "hills          -8.209536  3.054306  9.244711  -2.097600  -3.022553   \n",
       "suburbs        19.533221  8.315558 -8.209536  -8.209536  -8.209536   \n",
       "unpaved_roads  13.043553 -1.776804 -6.095289  -5.532779  -4.566500   \n",
       "\n",
       "car_color      multicolor       red     white  \n",
       "area                                           \n",
       "country_side     0.092630 -2.282290 -1.193468  \n",
       "downtown         2.582260 -3.863796 -4.400847  \n",
       "hills            4.789665  2.695864 -1.092375  \n",
       "suburbs         -6.529846  1.667814  3.964555  \n",
       "unpaved_roads   -3.829519 -1.339881  1.074386  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "outlier_signifs, binning_dict = data[[c0,c1]].outlier_significance_matrix(retbins=True)\n",
    "outlier_signifs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "zvalues = outlier_signifs.values\n",
    "xlabels = binning_dict[c1] if c1 in binning_dict.keys() else outlier_signifs.columns\n",
    "ylabels = binning_dict[c0] if c0 in binning_dict.keys() else outlier_signifs.index\n",
    "xlabel = c1\n",
    "ylabel = c0\n",
    "\n",
    "plot_correlation_matrix(zvalues, x_labels=xlabels, y_labels=ylabels, \n",
    "                        x_label=xlabel,y_label=ylabel,\n",
    "                        vmin=-5, vmax=5, title='outlier significance',\n",
    "                        identity_layout=False, fontsize_factor=1.2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The significance of each cell is expressed in terms of Z (one-sided).\n",
    "\n",
    "Interesting, owners of a green car are more likely to live in the country side, and black cars are more likely to travel on unpaved roads!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Example 2: mileage versus car_size"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For the categorical variable pair mileage - car_size we measured:\n",
    "\n",
    "$$\\phi_k = 0.77 \\, ,\\quad\\quad \\mathrm{significance} = 46.3$$\n",
    "\n",
    "Let's use the outlier significance functionality to gain a better understanding of this significance correlation between mileage and car size.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "c0 = 'mileage'\n",
    "c1 = 'car_size'\n",
    "\n",
    "tmp_interval_cols = ['mileage']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>car_size</th>\n",
       "      <th>L</th>\n",
       "      <th>M</th>\n",
       "      <th>S</th>\n",
       "      <th>XL</th>\n",
       "      <th>XS</th>\n",
       "      <th>XXL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>53.5_30047.0</th>\n",
       "      <td>6.882155</td>\n",
       "      <td>21.483476</td>\n",
       "      <td>18.076204</td>\n",
       "      <td>-8.209536</td>\n",
       "      <td>10.820863</td>\n",
       "      <td>-22.423985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30047.0_60040.5</th>\n",
       "      <td>20.034528</td>\n",
       "      <td>-0.251737</td>\n",
       "      <td>-3.408409</td>\n",
       "      <td>2.534277</td>\n",
       "      <td>-1.973628</td>\n",
       "      <td>-8.209536</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60040.5_90033.9</th>\n",
       "      <td>1.627610</td>\n",
       "      <td>-3.043497</td>\n",
       "      <td>-2.265809</td>\n",
       "      <td>10.215936</td>\n",
       "      <td>-1.246784</td>\n",
       "      <td>-8.209536</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90033.9_120027.4</th>\n",
       "      <td>-3.711579</td>\n",
       "      <td>-3.827278</td>\n",
       "      <td>-2.885475</td>\n",
       "      <td>12.999048</td>\n",
       "      <td>-1.638288</td>\n",
       "      <td>-7.185622</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120027.4_150020.9</th>\n",
       "      <td>-7.665861</td>\n",
       "      <td>-6.173001</td>\n",
       "      <td>-4.746762</td>\n",
       "      <td>9.629145</td>\n",
       "      <td>-2.841508</td>\n",
       "      <td>-0.504521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150020.9_180014.4</th>\n",
       "      <td>-7.533189</td>\n",
       "      <td>-6.063786</td>\n",
       "      <td>-4.660049</td>\n",
       "      <td>1.559370</td>\n",
       "      <td>-2.785049</td>\n",
       "      <td>6.765549</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180014.4_210007.8</th>\n",
       "      <td>-5.541940</td>\n",
       "      <td>-4.425929</td>\n",
       "      <td>-3.360023</td>\n",
       "      <td>-4.802787</td>\n",
       "      <td>-1.942469</td>\n",
       "      <td>10.520540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>210007.8_240001.3</th>\n",
       "      <td>-3.496905</td>\n",
       "      <td>-2.745103</td>\n",
       "      <td>-2.030802</td>\n",
       "      <td>-5.850529</td>\n",
       "      <td>-1.100873</td>\n",
       "      <td>8.723925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240001.3_269994.8</th>\n",
       "      <td>-5.275976</td>\n",
       "      <td>-4.207164</td>\n",
       "      <td>-3.186534</td>\n",
       "      <td>-8.616464</td>\n",
       "      <td>-1.830944</td>\n",
       "      <td>13.303101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>269994.8_299988.2</th>\n",
       "      <td>-8.014016</td>\n",
       "      <td>-6.458253</td>\n",
       "      <td>-4.973240</td>\n",
       "      <td>-12.868389</td>\n",
       "      <td>-2.989055</td>\n",
       "      <td>20.992824</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "car_size                   L          M          S         XL         XS  \\\n",
       "53.5_30047.0        6.882155  21.483476  18.076204  -8.209536  10.820863   \n",
       "30047.0_60040.5    20.034528  -0.251737  -3.408409   2.534277  -1.973628   \n",
       "60040.5_90033.9     1.627610  -3.043497  -2.265809  10.215936  -1.246784   \n",
       "90033.9_120027.4   -3.711579  -3.827278  -2.885475  12.999048  -1.638288   \n",
       "120027.4_150020.9  -7.665861  -6.173001  -4.746762   9.629145  -2.841508   \n",
       "150020.9_180014.4  -7.533189  -6.063786  -4.660049   1.559370  -2.785049   \n",
       "180014.4_210007.8  -5.541940  -4.425929  -3.360023  -4.802787  -1.942469   \n",
       "210007.8_240001.3  -3.496905  -2.745103  -2.030802  -5.850529  -1.100873   \n",
       "240001.3_269994.8  -5.275976  -4.207164  -3.186534  -8.616464  -1.830944   \n",
       "269994.8_299988.2  -8.014016  -6.458253  -4.973240 -12.868389  -2.989055   \n",
       "\n",
       "car_size                 XXL  \n",
       "53.5_30047.0      -22.423985  \n",
       "30047.0_60040.5    -8.209536  \n",
       "60040.5_90033.9    -8.209536  \n",
       "90033.9_120027.4   -7.185622  \n",
       "120027.4_150020.9  -0.504521  \n",
       "150020.9_180014.4   6.765549  \n",
       "180014.4_210007.8  10.520540  \n",
       "210007.8_240001.3   8.723925  \n",
       "240001.3_269994.8  13.303101  \n",
       "269994.8_299988.2  20.992824  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "outlier_signifs, binning_dict = data[[c0,c1]].outlier_significance_matrix(interval_cols=tmp_interval_cols, \n",
    "                                                                          retbins=True)\n",
    "outlier_signifs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that the interval variable mileage is binned automatically in 10 uniformly spaced bins!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "zvalues = outlier_signifs.values\n",
    "xlabels = outlier_signifs.columns\n",
    "ylabels = outlier_signifs.index\n",
    "xlabel = c1\n",
    "ylabel = c0\n",
    "\n",
    "plot_correlation_matrix(zvalues, x_labels=xlabels, y_labels=ylabels, \n",
    "                        x_label=xlabel,y_label=ylabel,\n",
    "                        vmin=-5, vmax=5, title='outlier significance',\n",
    "                        identity_layout=False, fontsize_factor=1.2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Correlation report"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A full correlation report can be created automatically for a dataset by pairwise evaluation of all correlations, significances and outlier significances. \n",
    "\n",
    "Note that for a dataset with many different columns the number of outlier significances plots can grow large very rapidly. Therefore, the feature is implemented to only evaluate outlier significances for those variable pairs with a significance and correlation larger than the given thresholds."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "interval columns not set, guessing: ['driver_age', 'mileage']\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x396 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 252x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x396 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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cyLkIdmw6zaN9GhWqfnlGbHdO9W6N/l0LfCUiJsAP49irFgAiUhFwBfZZZLsAjQF3YCewEFiWvjGlVGsRUUA9pdQJSzsNgWlAV4zzKvsDC0SkmlIq41+sIf8c8BxAuXLlbqtzsxfu5YVRCwBo1ag8S6Y8dVvtpef959sQERVHg8cm4+hgx+Cejdh9+AIlvGzHqPh260KVTz8E4Nq2ndgX9+TUqE8gOeeAmlJP9SX68FGidu2xWp4cHYPZ1TUtnfo++XrWJ/uiYvb83bzwgbGXbKvAAJZMG5jruq4uDkRm+kGNjIrDrZgjAO+/1JaIyDgaPPKN8f0/3pjdh0Io4e1qrTmbIEWlsP3SYR6r0oananZg2sHFGcon7p6Lh2MxlvcYT3xyIr8eWUEt7wpcjruGm70zAD8fWEJo7FUApu5fwGsNevH59tmF3pf8xrmYA9FRN77vaIvHoZirYwa5Bb/vpGHTAMqU9ypU/fKKiOglNYWJUuqUiEQB9YGqwL9AfRGpDjQD1iulUiyD0k+VUhFAhIisttRZlk3T6XkW+EEptdWSniEiw4GmGEY9s05TgCkAgYGBt3XeXr+u9ejXtd7tNJEtzk72TBrRhUkjugAwZc52GtUqhdlsO3/AYf8sIuyfRQCY3d1otn8r1SePB0AsUb/3bVvD4ReHErkt4/yRR8umeNzXGK8HWgNg5+mBa60auNaqwckPRhNz7ATFalbn8iLjT6BYzWokhIaRFJFx7rUo6fdoA/o92iBPdWtV8WP8T+tRSqW5x/YdvchL/ZsBlu9/1KNMGvUoAFN+30qjWqVt6vvPDjuTyeqcalxyAiM2TmXExqkA9Kv+EPsvnyJFpXAtIZqQ65dR3J1HYFau7sfRAxfo0M1woh05cAHvEq54ZnpIXjBnN4OHtCkKFfOMrS6puSuNqoW1wP1AZcv7CKANhlFNb/QupnsfgzGKzQ3lgadFJH1oqANQKo/65hmlFPEJSSRYlj7ExSciIjg6WP96ExKSSFEKpSAxKYW4+EQc7M2YTCbOX4pEBPx93di67xwff7+GH0fbbqBOcmQUWwNbp6UdS5WkwaK57O7cg8QrV7PIH3tjGCbHG0/pNadM5PKSf7n4+1wAQv/6h6rjxhI2byEJoWGUe+1FLv05r+A7chtY/f4RHK0Eot1/X0XMZhPfzNjIC080Zeof2wBo26wSAOcvXkNE8C/hxtY9wXw8aRU/js05qriw8XbyoEXpOqw8s4O45ARala7Lo5Va8cqqr7LIlnTxQqG4FHOVhiWqMqTh47y1dlJa+Zyjq3imVifWBO8mKSWJQbW7svKsbQZnpZKUlExyUgopyYqUZEV8XCJmOxN2maLfH+ndkPdf+ZPOPevjW9KNH8atolsmF+/ubWcIvXCNhx+5s2avtFEtfNZiuGYrAJ9gGNV+GEZ10k3q5ZZgYIxSakw+tHVbnAmJoOJD49PSLg0+onwpT06vfBOATs/9QstG5Rn+vPEk+vCzM1i7PQiATbvP8vzI+ayaPpD7m1TgZHA4T7/3F6Hh0ZQt6c7Y19vTvoVNBj2nkZguOCnVYCaEXUlzB9f6ZQqR23YSPOkHkiOjSObGnGlKYiJJUdfT5k6vrtnAue9/os4fMzA5OXF56XLOjJ9YiL25dc6cv0rF+z9PS7vU+oDypT05vdZYs9pp4DRaBlZg+EsP4OBgx7zvnuTZ4X8z7Itl1KhUgnnfPYmD5QHs5NkrPP32HEKvRFPW34Oxb3egfauqRdKvm6FQPFWjA2NbvoBJhPPXwxi1eRrLz2yjVDEfVj/+DQ/MeY2Q6MuUdy/J1w8MwcfZg5Drlxm7bSbrzu9Na+vrXXMo7uTGut6TiU9OYNGpjUzcPbcIe5czP4xbxbef/5eWXvjnbl5650G692vMI83Hs2DTG5Qq40mrB6sx8NU2DOw2lbjYRB7qWptX3nsoQ1vzf99Ju861KebmmPk2tosNb/4gykqwxt2AiFTFmCO9pJSqLCLuQBDGg0RxpVSyZZ60Srp50unAOaXUCBEZAAxWSrW0lF0EnlJKLbekA4F5QE9gG+CCMTJep5S68atthcDAQKXPU7330Oep6vNU7+HzVHcqpW6+qPYWsC/nqYq/2SpHubChi3J1XxExY8TGnFdKdbkd3Wx/oiSPKKWOAdeB9ZZ0JHAK2KiUyssWMaMw5k0jRORxpdQOjHnVScBV4AQwIB9U12g0Gk0O5POSmiHA4fzQ6252/6KU8s+UDsyUlkzpAeneTwemp0t/D3yfSX4ZuQtq0mg0Gk0+kl/uXxEpA3QGxgBv3G57d7VR1Wg0Gs1dSP7OqX4NvAO45Udj2qhqNBqN5o5CEMx2uTKqPiKSPpR7imV5o9GOSBcgVCm1U0Tuzw/dtFHVaDQazR2FCJhzN2d6OYdApRbAIyLSCXAC3EVkllKqf151u2sDlTQajUZz92I2SY5XTiilhimlyiilAoA+wKrbMaigR6oajUajucMQAQezba5T1Ua1iEhds3kvkrpe814ldc3mvUjqes17lZpe9+53n58Iklv3b65RSq0B1txuO9qoajQajeaOQsj1nGqho41qEZH44xNFrUKhYz/4NwBONKtdxJoUDZU3HwBg2KbniliTwmdscyPgctmZd4pYk6KhQ3ljG0m1+4Mi1qTwkQajC6BRcjVnWhRoo6rRaDSaOwpBz6lqNBqNRpMvaPevRqPRaDT5hEjulswUBdqoajQajeaOw0a9v9qoajQajebOwlinapt7F2mjehfwy6bTTP7vGCdCo3B3sqf3feX5uHtd7Kz80R27GMl7c/ey5eRlklMUgQFejH+iIdVKugOglGLkP/v5ZdNprscnUb+sJxP6BlKrtEdhdyvXuLbriNfglzB7+6ASEojZsoGwcZ+gYqKtyjs3aoL3q2/hUKYcyRFXuTrzJyLn3ziU2q5UGXzfGIZz/UBUYgKRi+ZxZfJ4q20VJUkJySwft4Gg7SHERcbjWcadNs83plKzsllkl32+noPLT6SlU5JSMNuZeWPlAABiI+NYMnYdQdvO4+zhRJsXGlOrvW0fTr9gxi5Wzj3A6aOXub9rdd4c1ylb2QtnI/h+1H/s3xqMvYMd7R+vzaBh9wPQvebXGWQT4pLo/GR9XvqwXUGqny8cOBHKW+NXsvPIBa5ExJKyK/v175evxtDtjTkcCbpCcnIKNSr48MXr7WhRP+vfy4PPzWT1jjMkbBuOnZ3tGS89p3oPICKjgMq3u8VVXohNSGJc7wY0qehNWFQ8j01az/hiR3inY80sstdiE+larxQ/PtMEN0d7Pl50gB6T13NgdGcA5u4IZsbGU6x+tx3lvV343z/7eWbaFrZ98HBhdyvXxO3bzbnnnyTlWgTi7EyJd0fi/fxrXP5qbFZhsx0lP53AlcnjifznTxxr1Kb0pGnEHdxPwomjYGdH6QlTufbXb1wc8RakJGNfNqDQ+5QbUpJTcCvhSt/JXfDwc+Xk5rPM/+A/Bs7sgad/xgM3OrzTig7v3DjUedHHazKc8rF83CbMdmZeXdifS8evMPftZZSo7IVvRa9C68+t4u3nSp9XmrFz3WkS4pKylUtMSGZ4/zl0faoBwyZ1xWQycf50eFr5vEND097HxSTwROC3tOpUrUB1zy/s7cz0al+DFx9vRPc3/ryprKuLAz+N7EqVcl6IwPw1x3hk6B9cWvlGBsM5e8l+kpJTClr120IAGx2o6r1/7waev78KLauWwMHOTOniLjxxX3k2nbhsVbZxBW+eaVUJr2KO2NuZGPJQNY5djOLK9XgAgi5H07yyLxV9XTGbTPS9L4DDIdcKszu3TFLoRVKuRaSlVUoK9mWyPn0DmN09MLu6EbV0IQDxhw+QEHQKhwoVAXDv3I2ky6FE/P4LKi4WlZBAwsljBd+JPODgbE+rQY3w9HdDTELlFuXxKOXGxSPWv/tUEmITObYmiDodq6alj645TetnG+HgYk/ZeiWp3LI8B/89cdN2ipoWHarS/OEquBd3vqncirkH8PZz5bHBjXFyccDByY4KNUpYlV2/5Bie3i7UblKmIFTOd6oFeDOoWwNqVfTNUdbJ0Y5qAd6YTIJSxjrPq5FxhEfGpslci4rjoynr+WzIgwWpdr5gFsnxKgr0SDUbRMROKZX9468Ns/54GDVL5c5du/5YGCU9nPB2dQTg8Sbl+HPHWY5djKSCjyszN5+mfW3/HFopepzqNsB/3LeYXd1IiY3hwntDrcolX71C1PLFuHfpxrV5c3CqWQe7kv7E7d1ttFO7HokXQvAf/x1ONWqTcOoEYeM/IeHk8cLsTp6IDo8hPPgavhWL31Tu6JrTOBd3omz9kgCEB1/DZBK8ynmmyZSo7M3ZPRcKVN/C4sjuEPzKePDB03M5tu8i5av68OKHD1KhelZD9N9fB3nwsVqIjboW84N6j0/hSNBlEpNSGNS9PiW8iqWVDZ+0mhd6NqKkj2sRapgzJhGbnVO1Ta2KCBEJEpF3RWQfEC0iLUVkk4hEiMje9OftiUgFEVkrIlEisgLwKTLF0zFj4yl2BYXzRvvqOcqeC49hyK87+bxXg7Q8fw8nWlbxpfYHS3B/+U/+3hHMl483uEkrtkHcvt2cfqgZpx9pS8Ts6SRdOJ+tbNSKJRQf+CKV1u6i9HczCP/hG5JCLwJg5+uH20MduDZnNqe7PkD0pnX4f/YN2Nn282dyUgoLPlxNnY5V8C7veVPZA0uPU7tDlTTDkRiTiKOrQwYZR1cHEmISC0zfwuTyxSjWLjzCIwMaMmvrizRpW5GPnp1HYkJyBrnQ85Hs3xpMu561ikjTwmHvnOe4tv4dZn/SjZbp5lN3HAph095zvNqncRFql3vMppyvokAb1aw8AXQGKgLzgY8BL+At4C8RSX28/RXYiWFMRwNP36xREXlORHaIyI6wsLDbUvDXLUEUf2UuxV+ZS9cJa9Py5+8+x/t/7WXBkDb4uDnetI2wqDg6fb2G5++vTJ/7yqflj154kB1BVzj12SNEfduLEV1r8fC41cTE286g3bV9Zyr+t42K/23Df/x3GcqSw0KJ3rIBv9FfWK1rX74CJUd/SehHwzjZugFn+3XDs/9AXJq3BiAlPo7YvbuJ2bIBkpKImP0zJg9PHAIqFXi/8opKUSz6aDVmOzMPvdHiprKRl65zds8F6nSokpZn72JPfHRCBrn46AQcXOwLRN/CxtHRnlqBpWn8QEXsHcz0eK4xkRGxBJ+4kkHuv78PUjOwNCXL3vyhpCiZvWQ/bi0+w63FZ3R65bc8t+PkaMcTHWrz2c+b2HvsEikpipfHLuPrt9vbZGBSZlLPU9Xu3zuDb5RSwSLyLrBEKbXEkr/CcoJ8JxFZDTQG2iml4oF1IrLwZo1aTpufAhAYGKhuR8G+TQPo2zQgQ96/By7w4i/bmf9aa+qUufmPwtXoBDp9tYYu9UozrHPGp/L9wRH0CixHGS8XAJ5qUZE3/9jN4QuRNAqwjaCV68sXc3354mzLxWzGvrT1OVWHipVJPBtEzNZNAMb7TetwadaSmE3rSDh5DKc6tj8yT0UpxZKx64gOj6XXuA6Yc/hBPLDsOKVr++FZ2j0tz6usBynJivDga3iVNaYNQk9cwbfCzd3IdwoVavhyaEf2notU/vv7IL1evK8QNMo7/TrVoV+nOvnWXmJSCqfOXaW8vwc7DoXQ572/AUhONn6iynacwJzPetCqYbl8u2d+YGxTaJvG3za1KlqCLa/lgV4W12+EiEQALQF/oBRwVSmVfs3GmULWM43Vhy/x9I+b+ePFFjSu4H1T2cjYRDp/vYbmlX35pEe9LOWNArz4a2cwlyLjSElRzNp8msTkFCqVsN05Ftf2nbHzM+YH7Ur64/3Ca8Tu2GpVNv7YEezLlMe5URNDvnRZXFq0IeH4UQCili3CqXZdnBs3BZMJjz5PkhIRQULQycLpzC3y7xcbuBIUQc/PH8beMedn5ANLj1OnU9UMeQ7O9lRrE8D6H3eSEJvIuX0XObH+DLUetu0lNclJKSTEJZGSrEhJUSTEJZGclDVqtW23mhzZHcLuDUEkJ6fwz087cS/uTNnKN/6vHNp5nssXr98xUb+pKKWIi08iIclwZcfFJxGfYN2rtGXfOTbsPkE/pEcAACAASURBVEtCYjKxcYl8Nn0Tl8Kjua9OaTxcHTn/71B2//Ysu397lsUT+wCwY/Yg7qtTutD6k1tEbNf9q0eqWUkdRQYDM5VSz2YWEJHyQHERKZbOsJZLV7dQ+WTxQa7FJvLIN+vS8lpW8WXhkDYAdJ2wlhaVfXivcy3+2X2OHUHhHAq5xi+bTqfJ7/2wI+W8i/F2xxqERcXR+KNlRMcnUamEG3+82BJPF4cs97UVHCpUwufl1zG5uZMSFUn0pvVc+e7G2kP/8d8Rt3cXV2dMJel8MKGffIDP68OwL1mKlOgoov5dTORC4wk98WwQl0YNw/ed/2FX3Iv4o4e58M4rkGQ77u9Url2MYs/8I5gdzEx8ZFZafoe3W1GmXkl+7P8ng2f1wqOk8UB0/sAlosKiqf5AhSxttX+rBUs+WcfELrNw9nCk/VstbXo5DcBvEzcze8KmtPSqeYfoN6Q57R+vw/MPTeOHFQMpUdqdMpW8ePvrzkx8fwURV2KoXMuPUT8+hr2DOa3uyrkHaNGhCi6utvt3bo0zF65RscuktLRLs08p7+/B6cWvAtDpld9o2aAswwe1JD4xmSGf/8up8xHY25moU7kEiyb0ppSvsfwqfXBSnMUw+3m52qg7uOjcuzkhShWJHbBJRCQIGKyUWikiZYHtGHOlKwF7oClwQil1TkS2ABuA4UATYAmwIDfrVAMDA9XmF6rkJHbXoY9+00e/6aPf7s2j30Rkp1IqML/aLFHNV/X8/tEc5b5r+1O+3jc32OIjiE2glAoGHsUwmmEYI9e3ufGZ9QXuA8KBkcAvRaCmRqPR3HMIYG+SHK+iQLt/06GUCsiU3gq0yUb2FNDKWplGo9FoChABGz2kRhtVjUaj0dxZGHv/FrUW1tFGVaPRaDR3HCYbHapqo6rRaDSaOwoRsLfRiCBtVDUajUZzR6HdvxqNRqPR5CMmG12nqo1qEZG6ZvNeJHW95r1K6prNe5HU9Zr3KtJgdFGrcFdgLKkpai2so42qRqPRaO4oUjfUt0W0US0iklJWFLUKhY6d6SEARm19vog1KRpG3fcDAA5v3HvLmxPGrwfgV7mz9tbNL/oqY2/pe3E3sYLyTNlo8K82qhqNRqO5s9CBShqNRqPR5BMigr2NWlVtVDUajUZzx6HdvxqNRqPR5APa/avRaDQaTT5iqyNVG13po9FoNBqNdYxtCm//6DcRKSsiq0XksIgcFJEht6vbHTdSFZFRQOXsDgMXkX7A00qp9rdxj/uBWUqpMnltozAJD4/kucHjWbFiJz4+Hnw8ZiBP9G1rVfbrr//iy8/nEBsbT/fHWjH521dxdHQA4PDhs7z26kR27TyOr68nn342mG7dWxZmV26JpIRkFn+xgdPbzxMbGY9XGXfavtCYKs3LZZHds+goCz5Zh52jOS2v75cdCGhUCoCIkCgWf7GBcwcuYbY3U7NtBToMbY7J7s547qzsU4Zdb0/n731rGTA76wYDk3q+Sd9GN/5L2JvtSEhKwnv4wwBUL1GeCT1ep2GZaoRFRzBs4bfM37++0PS/HYpVKEPgNyMo0aYJyfEJnJr2F3ve/cKqbF91lKToGJRSAJz5fQnbnh0BQPnenajz4Ws4lfQhJT6BkKXr2PHqaJKiogutL7eKa7uOeA1+CbO3DyohgZgtGwgb9wkqxrrOzo2a4P3qWziUKUdyxFWuzvyJyPlz89RWUZKP7t8k4E2l1C4RcQN2isgKpdShvDZ4xxnV9IhIAHAasFdKJQEopWYDs4tQrULntVcm4eBgz/kLc9iz5ySPdh1B3XoVqVUrIIPc8n938MVnf7B85eeUKuVNzx4f8uGomXwydhBJScn06D6SZ5/vzLJ/P2Xd2n10e/R/bN8ZQNWqtvlskZKcgkeJYgz4tiseJV05vuksc0f8x4uzeuJZyi2LfJnaJRg45VGrbS3+YgPFijvz5qL+xF1PYOZri9n+1yHu631nrCuc0ON1dgQfybb8lbnjeGXuuLT0j32Gk6JSADCbzPw1cCxTNs+n4/dv0LpSfeYN+pQm4wdxPCy4wHW/HUz29rRd8TPHJ89mQ+/XUcnJuFetcNM6S+o9yvWTZ7Pkh23cxYoWTxB/5Sp2xVxo8sNH1Pt4KDuHjCko9W+buH27Off8k6Rci0CcnSnx7ki8n3+Ny1+NzSpstqPkpxO4Mnk8kf/8iWON2pSeNI24g/tJOHH01tqyAfJjm0Kl1AXgguV9lIgcBkoDeTaqd8Zj+B2EiJhzlso/oqNj+fvvDYz66GlcXZ1p2bI2Xbo2Y/as/7LIzvxlBc8M7ECtWgEUL+7G++/345cZywE4cuQsISFXGDq0B2azmQfaNqB581rMnrWyMLtzSzg423P/s4F4lnJDTELVluXx9Hcj5EjYLbcVERJFrXYVsXO0w9XbhUpNyxJ6OrwAtM5/Hq//INdir7P6+M5cybs4ONG9bhtm7lgGQPUS5fD38GbC2j9IUSmsObGLTUH76dcoz86eQqPCgO7EhoRy5KvpJMfEkhKfQMT+o3lqK+bcReKvXE1Lq+Rk3CqXzy9VC4Sk0IukXItIS6uUFOzLlLUqa3b3wOzqRtTShQDEHz5AQtApHCpUvOW2ihpjm8JcuX99RGRHuuu5bNs0BmkNgK23o1uhGVURCRKRt0Vkn4hEi8hPIuInIktFJEpEVopIcRG5X0TOWanbzkqz6yyvESJyXUSaicgAEdmQrm4tEVkhIuEicklEhlvyHUXkaxEJsVxfi4hjNrrXEJE1IhJh8bs/kq5suoh8JyJLRCQaeOC2P6xb4Nix85jNpgyjyXr1KnLoYFAW2YOHzlC3bsW0dN16Fbl06SpXrkRi8YZlQCnFwQNZ27FVrl+J4UrwNUpU9LJafvHYFT5/eAYTe/3B2mm7SElKSSu7r3dtDqw4SWJcEpGh0ZzYHEzlprb5g5IeN0cXRnYYxDsLJue6zmN12xAWHcH6k3sAY81fZgShln/FLPm2hk/T+kQHnef+JVN5LGwLD67+BY/aVW9ap9262XS/sIFWf02kWPnSGcp8WzSiZ8QOHr++m7I92nPk6xkFqX6+4FS3ARVWbKbSqu243t+OiD9mWZVLvnqFqOWLce/SDUwmnGrXw66kP3F7d99yW0WNiDFSzekCLiulAtNdVjfeFhFX4C9gqFIq8nZ0K+yRag/gIaAq0BVYCgwHfCy6vHaL7bW2vHoqpVyVUpvTF1p85CuBZUApoDKQOoR7H2gK1AfqAU2AEZlvICL2wEJgOVACeBWYLZJhv7W+wBjADdiQuQ1LO8+lPi2Fhd36SCo7oq/H4uFRLEOeu3sxoq7H5iib+j4qKobq1ctSooQn4778k8TEJFYs38G6dfuJiYnPN10LkuSkFP4euZp6nargE+CZpbx8A39e/LUnby99isfHPsSB5SfYOHtvhvKwU1cZ++DPfPXIbEpV96V6m4BC7EHeGNVxMD9vW8S5iNBc1+kf2JHZllEqwJFLZwi9HsGbD/TFzmSmXdXGtK5UH2d7p4JQOV9xKeNH+T6dOPrNTP4p1YqQxWtpM/9bTPb2VuVXtO7HgoC2LKrekdiQUNos+h4x33AuhW3cyVzPQOaVbsXhL34iOuh8YXUlz8Tt283ph5px+pG2RMyeTtKF7HWOWrGE4gNfpNLaXZT+bgbhP3xDUujFPLVVtORsUHPrHrb8xv8FzFZK/X27mhW2UZ2olLqklDoPrAe2KqV2K6XigXkYQ+/8pAtwUSk1TikVp5SKUkqlDu37AR8ppUKVUmHAh8CTVtpoCrgCnyqlEpRSq4BFwBPpZOYrpTYqpVKUUnHWFFFKTUl9WvL19c23DhZzdSYyMiZDXlRUDG6uzjnKpr53c3PB3t6OuX+PYsmSrZQp1Zuvxv9Fz16tKV3GJ990LShUimLeqFWY7U10est6YFXx0u4UL+WOmAS/yl60GdSQw6tOp9WfNXQJ1e8PYPjqgbz971PERcWzctJteYEKnHqlKvNg1UAmrJ2T6zplPEvQulI9Zm2/YVSTUpLpNW04HWs2I/jD+Qy9vw9z967m/LXcG+rCIqBvV3pF7aJX1C7uXzKV5Nh4wjbs4sKydaQkJnL4y59w8PbEvYb1UXbY+h2kJCaSeC2KnUPG4FqhDO41KmWRiw0JJWTZelr8Pr6gu3RLuLbvTMX/tlHxv234j/8uQ1lyWCjRWzbgN9p6kJZ9+QqUHP0loR8N42TrBpzt1w3P/gNxad46i2xObRU1ApjElOOVYzuGm+Yn4LBSKl++7MIOVLqU7n2slbRrPt+vLHAym7JSwJl06TOWPGtywUqplEyy6f1GRRbNUbVqaZKSkjl+/DxVqhgq7d17ipqZgpQAatUsz759p+j1eBsA9u09iZ9fcby93QGoW7ciq1bfCGZp1XIoTz5pzetuOyilWDBmLdHhsfQd3xFzrqN1JS0CNDYynshL0TTpVRs7BzN2Dmbqd6nGqh+289CrTQtO+dukdeUGlC9ekpMfWKI3HZ0xm8zU8AvgvvGDrNbpH/gwm4MOcDr8Qob8/RdO0m7yq2npta9+mzbnaksE/bqQoF8XpqXrfjQEnxYN89yeUsqq+xvAZGeHa6WskeRFyfXli7m+fHG25WI2Y1/a+rSFQ8XKJJ4NImbrJgDj/aZ1uDRrScymdVnkb9aWLWBnypcxYQuMwdR+EdljyRuulFqS1wZtMVApGnBJTVgCf7Ib2lmZCcxAMJD1MdQgBEgfhVDOkmdNrqxIhseeckB6v0hOehQYxYo50717Cz4cOYPo6Fg2bjzIwgWb6Nf/wSyy/Z9sx8/TlnHo0BmuXo3ik09+5amnbwSj7Nt3iri4BGJi4hg/7k8uXrjC0wNsO1hl8ecbCAuK4IkvO2DvlP0z4vFNZ7l+xRiZXw6KYN3Pu6jWOgAAF08nPEu5sePvQ6QkpRAXFc/eJccoWdm7MLqQZ37cvIDqn/Sh8biBNB43kCmb5rP00GY6//BmtnX6B3bgl+1Ls+TX8a+Eo50DzvaOvH5/H0q6e/PLtqxytsbpWQvwaVoPvwebISYT1YY+Tfzlq0QePpVF1qNmZTzrVUdMJuyKudBg3HvEng/l2mHjuTugb1dcyvoD4FKuFHXHDOXSf5uztGNLuLbvjJ1fSQDsSvrj/cJrxO6w7mGJP3YE+zLlcW7UxJAvXRaXFm1IOH70ltsqaiQXrt/cuH+VUhuUUqKUqquUqm+58mxQwTaX1BwDnESkM8Y85nDAagAREAakABUt9TKzCBgvIkOB7wAHoKbFBfwbMEJEtmMYxf8B1mblt2IY+ndEZBzGk01XoHHeupf/TJz8Ks8OGkepko/j7e3OpMmvUatWAGfPhlK39mD2HfiRcuVK8HCHxrz5di8eevBtYmMT6P5YS0aOuuHxnj1rJdN+WkZiYhItW9Zm6b+fpq1htUUiLkSxc95hzA5mvuw8My2/y7utKF/fn8lPzOHl3x7Ho6Qrp3eEMH/0WhJiEynm5UzdDlVoNeDGbEPvTx9i2Veb2ThzD2ISKjQqxcNDmxVFt3JNbGI8sYk35ryjE2KJS0rgcnQEZT1LsPfdmdT77EmCLfOt95WvRWkPX/7auzpLW30DH2bgfV2wN5vZcGofnX54g4TkxELrS16JOnaaTf3fpsn3H+JUwpvwXQdZ98iLpCQaut+/ZCqh63dwaOwPOPn50Pi7UbiU8SMpOpawTbtZ2+V5VFISAO41K1H/s7dwKO5OwtVIQpasZc8w23L/ZsahQiV8Xn4dk5s7KVGRRG9az5Xvvk4r9x//HXF7d3F1xlSSzgcT+skH+Lw+DPuSpUiJjiLq38VELvw7V23ZGiabHBOCKGthnwVxI5EgYLBSaqUlPQs4oZQaZUkPBvoopdqJyABgLGAGPgdeSa2befMHEfkIeBGwBzoA1S2yLS3ltYEJQEMgHvhaKfWpiDhZ2u5lUfFP4B2lVFzmzR9EpBbwLUZQ03ngfaXUPEvZdOCcUipLkFN2BAYGqi3bbHPtV0Giz1PV56nq81TvjHXP+UnlzQcQkZ1KqcD8arNq3ZLqm4VP5SjXMeCLfL1vbii0kapSKiBTun+m9I/Aj5b304Hp6Yq/TCc3KlO9/2GMMlPZkr6uUuoAkMUXagkoeg0rEcdKqTVAmXTpg0AbK91CKTXAWr5Go9FoCgrBzlSoWwLkmlwZVct8YnXgjFLK9vas0mg0Gs09gxH9a5s76ufWKa2APYB/Aeqi0Wg0Gk3O5H7zh0InVyNVpZQSkZOA9a1qNBqNRqMpJMSG3b+3Ej41EvhMRErnKKnRaDQaTQFiQnK8ioJbCVQag2XDBBG5hLHMJA2l1M033NRoNBqNJh+w5TnVWzGqtrmz8h1K6vKSe5HUpSX3KqnLS+5FUpeW3KtU3nygqFW4S5BcbUNYFOTaqCqlPixIRTQajUajyQ0i+bZNYb5zy+tURaQlUAsjIviAUmpTvmt1DyAv2u6esgWF+m4LcG/2HW70//orWbeQvNtxnWQcDnWvb/6wssS91/92oQXjnbjjR6oi4gvMBVoB1yzZHiKyDuiplLpcAPppNBqNRpMBoeiWzOTErZj6rwFPoL5SqrhSqjjGUW3Fga8KQjmNRqPRaKxxN0T/dgS6KKX2pWYopfaKyMvAgnzXTKPRaDQaKxhzqra5TvVWjKoTEGEl/yrZnyKj0Wg0Gk0+c3e4f7cDw0QkzRBb3g+zlGk0Go1GU+AIIGLK8SoKbmWk+i7wL3BKRLZgRP82A9wB2z7JWqPRaDR3FbZ6nuqtrFPdIiJVMc42rWnJng5MUkqFFoBuNkH681tFpBxwCPBQSiUXrWYZ6R3YjpGdBlPOy4+LkVcY8MtoNpzYm0Hm6aad+enJ4cQm3DjYusu3b7H2+C4AXm7TkwHNOlOnVCV+27GCZ34ZXah9yA3Z6XhfhVqM7vo8jcpVIzklhTXHdvHanPFcjLySpQ0HO3u+7fM27ao3xquYOyfCzjF8/vcsO7g5i+z/Og/iwy7P0m7Cq/x3xDYdMnOPX2LMttOExsTjYDbxUDlvvmxdFXcH6/+994VF8fLqIxy9Gk214sWY/EB16vq6ATD7yAW+33eOkxExuDnY0auqH6OaVrTZNYEAdUcPpeIzj2Hn6sLV3YfY8fJHXDt0IoucW5UAGnzxDj7NGyBmE+Hb97PjtTFEHTsNgEetKjQc9y7FG9XGyaf4Hbf8p+FfM/Bq1ZT//Guikq3/PLULPUpydAwK4xztS/OWcPgN4yjo6l98SMmeXdNkTXb2pCQmsqZiw4JX/hYREcymQju59Ja4Ja2UUpeADwpIl0JBRNZgHED+463WVUqdBVzzXanbpF31JnzW7WV6/zSCbUGH8Hf3yVZ286kDtBpn/ZDwkGuX+XjpzzxcsynO9rY5TZ6djsVd3Jmy4R/+PbSFpORkJvV5i5+fGkHHSa9nacPOZCb4aihtxr/E2asX6VSrOXMGf0yd0f05E34hTa6iT2l6NniAkIiwQulbXmla0oMVjzXEx9mB6wlJDFlzlNFbTvFF66w7hyYkp9BnyT5eqleWZ+uUYdqB8/RZso89/ZvhYDYRm5TMpy2r0NjPncuxifReso8Ju8/yZqOAwu9YLijXqyMVB/ZgRcsniDkTQt2Ph9Js5ucsa/RYFlkHTzfOLVjFlmeGkRgVTZ3/vUzr+d+yuEZHAFISkzgzZxnHvv2NNvO/Leyu3BYle3RF7HIXuLOl7aPEnj6bJf/I2yM58vbItHTNb8ZCiso3HfMXQWx0pHpTrUSkVG6vwlJYk5UPuwzmoyXT2Hr6IEopQq6FEXLt1g3BvD1rmL93HVeir+UsXERkp+Oyg5uZu2sVUXExxCbGM2nNXFpUqmu1jZiEOD5c/CNnwi+glGLxgY2cvnyBRuWrZ5Cb1Oct3p03mYTkpALrT35Qxs0JH2eHtLTZJJy6FmtVdv35qyQpxcv1yuJoNvFivbIoYO25qwAMrl2GFqU8cTCbKOXqyONV/dhy0Xb/HopVKEPYhp1Enz6HSkkhaNYCPGpWtip7Zft+Tk2bS8LVa6ikJI58NR2P6hVx8PIEIOrYaU5Nm8u1g8cLswu3jdnNlQpvvczxj77ItzZNLs6U6PIwIX/My7c28xuTmHK8ikSvHMrPAcE5XKkyBYqIBInI2yKyT0SiReQnEfETkaUiEiUiK0WkuEW2qYhsEpEIEdkrIvdb8sdgbF4xSUSui8gkS/4EEQkWkUgR2SkirbLRIUBEVGqwloh4icjPIhIiIldF5J+C/hwyYxITgeVr4OvqyfEP/yT4kwVM7P0mTtmMNBuUrUrYF8s4OmoOIzo+g9lGw9Jvl9ZV6nPwwulcyZZw86KqX1kOhpxKy+vZsC0JSYksteIStkU2hURQeupa/KeuY/7JUF6qV8aq3OHwaGp7uyLpIidrebtyODzaqvzGkAhqeBUrEJ3zgzO/L8atcjncqgQgdnZUeLo7Ictyt7dyidaBxF4IJSHc2qKGO4fK77/B+em/kRCau/13AufPptWBDdT9eSJOZa0fOubXpT0JV8KJ2GybUx6CYBa7HK+iIKe7PlAoWuSeHsBDGHrvxth8YhDGPOdS4DUR+RFYDDwJLAMeBP4SkepKqfdFpAVZ3b/bgY8wdooaAvwpIgFKqbgc9JkJXMfYtvE60Dx/upl7/Ny9cLCzp2fDtrQa9wKJyUnMf/ELRnR8hhELvs8gu+7EbmqP7suZ8IvU8q/IH4M/JiklmU///aWw1S5Q6pSuzP86DeTR79/JUdbOZGb2wA+ZsWUJRy+dAaCYozOfPPoi7b95raBVzTeal/Lk/LNtCLkez/RD5ynn7mxVLjoxOctcq4eDHdcTs47GZx4OYXdoFJMeqJ6lzFaIuxBG2PqddD32LylJScQEX+S/tk/nWM+5tB+Bk0ey641PC0HLgsOtXm08mzTk2PtjcCxVMkf5HY/049rOvZidnag0bCj1Z33P1rbdsszB+j/enYtzCn2McEsUVXRvTtzUqCql1haWIrlkomVeFxFZD4QqpXZb0vMwDGh/YIlSaomlzgoR2QF0AmZYa1Qplf4EnnEiMgKoBuy1Jm+5nz/GhhjeSqmrluxsPy8ReQ54DqBcuXKAfw5dzR2xiUbQ0cQ1f6YF5Yz/7zdGdByQxaievhyS9v5AyEk+WvITbz/U/64yqpV8y7D0lfEMmfNVlkCtzIgIM58ZRUJSIq/8/mVa/oddnmXm1qUEXblwk9pFxx9HLzJkjbGfavNSHvzdtX5aWSlXR9qV8+aZfw+woXeTLHWL2ZuJSsj4AxqZmISrfcafgoWnwhi5+SQLH22QwbVc1AT07UrjH4yzPcLW7yR810G8GtdmXpnWxF28TED/R3hw1QwW1+pMcqz1Z2JHn+K0XT6N49/+ypnfFxem+rdNyR5dqf6l0f+ILTuxL+7J0ffHZBuYlJmILTsASEpM5Oj7Y3jg5E5cqlYi+vCxNBnHUiXxbN6Yw2+OyP8O5Bty50f/Qtq61D6k21AfmKOUKqxJp0vp3sdaSbsC5YFeItI1XZk9sDq7RkXkTWAwxnmxCmOZUPbRPgZlgfB0BvWmKKWmAFMAAgMDVdYwgbwRERNFcPgllLr1gAKlDDfK3UI5r5KsHDKR0Ut+Zta2ZTnK/9T/ffzcvOg0+Q2SUm78KD1YLZAyxUvwUuseAPi6eTJn8Md8tnwWny+fWWD655be1UrSu1r2o5KkFMXpSOtzqjW8ijFxTzBKqTQX8MHL13mu9g138YozV3h19RHmdqlHLW/bissL+nUhQb8uTEu3Wfg9Z/9YSux546fg9Ix5NPp6OB41KxO+M+sxa/ae7jywfBrnFqzi4CffZym3dS7+tZCLfxn9t3N3o82xbdSZauwSK5apnJZ717J/0BAitu7MsT2FyjAVAOD/eDeubd9N7Jlz+ax9/pG6TtUWuZUN9SthuFjLAEcx+jUUGCkiHZVSp25WvxAJBmYqpZ7NpjyD9bHMn76LMco9qJRKEZGrkKO1CQa8RMRTKVWkkzI/b17Eq/f3YtmhLSQmJzG0bW8W7d+YRa5DrWbsOnuU0KhwqvmV54NOz/DnrlVp5WaTGTuTGbOYMJtMONo5kJSSTHKK7aweyk5HPzcvVg2dxOS1c/lhfc7BFd898Q41/ANoN+FV4hLjM5Q9OOEV7M03/mtsf/dn3vhrgs3Or/5x9CLNS3lSxtWR4Kg4Ptp6ijZlvKzKtipdHLPAd/vOMah2aaYfNLwXbcoUB2DtuXAGrTjIr53qEOjnXmh9yCtXtu+nbK8OnPl9MXFh4QT0ewSTvR1RJ85kkbVzK0bbf3/i8sZd7B02zmp7JkcHTA72ae9RipSExALtQ15Jioxifd0b4R9Opfxpsnwu29o9RsKVrM/6xapVRuztuH7omOH+fW8o8RdCiT52MoOc/+PdODNxaoHrf1uIYBb7otbCKrcyUv0KIyipZeq6VBHxA363lD2a/+rliVnAdhF5GFiJMUptCpxQSp3DGN1WTCfvBiQBYYCdiLyHMVK9KUqpCyKyFPjWsv/xdaCZUmpdvvYmF4xeMg0fV0+OjZpDXGICc3b9x5il0ylb3I9D//uNmh89QfDVSzxYLZDpT32Aq6Mzl6LCmbV1GZ8snZ7WzoiOzzCqy+C09JP3dWTUoh/5cPEtrz4qMLLTUaGo5FuGkZ0GMbLToLRyt9fbAjCsw9O0qlyfTpNep5xXSV5o/RhxifFc/PSG++/5Xz/j1+3/Eh4dmeGeySqFqzFRRMdbH/0VNUeuRvO/zSeJiE/E09Ge9uW9GdWsUlr5Ywv30Mzfk7cDA3Awm/itU11eWX2EkZtPUq24C791qouD2Xjq/2xHEJEJyfRcmLbFdxYXsy1x6LOpOJXwpuOef7Ar5kLUiTOs7/EaideiALh/yVRC1+/g0NgfKNv9Ibyb1MWjVmUqDOie1sbimp2JCb5AsfKleTToxkNmn7j9XA86x4IK19M8/QAAIABJREFUtntUX/rgJJOjEZyYEHYlzR1c/7epRGzZQdCEH3Dw9aH656Nw8vcjOSaWiB272dPveVTSDUejR2B9nPz9uLQgZ09PUSI2fEi55NZtKCJRQOvUOcx0+Y2A1UqpAn2sFZEgYLBSaqUlPQvDUI6ypAcDfZRS7UTk/+zdd1yV5fvA8c/FElFAcCsKKm5zotlwpGaOzFxlltke2rdv89suNbX1M1uaacs0U8tMc6VpudJypLk3JIqKiIhsONfvj3NAZAjI4Rzk3O/X67w6z/Pc5znXTcL93Pta4F3gGiAD+At4XFX/FZHrsPatVsU60OhprM2yQ4AErA8IIzO/K8fiDyHAUcBTVdNFJNCWvhfgZfs55J4gl0NYWJhubV86Jy6XJLOfqtlP9WpbUMFeXH0/VRHZqqph9rpnm3YN9Lc/Ch5kFuB9h12/tzCK+pc9rxLYYo9ACvxi1ZAcx/fkOP4c+Nz2/k+gSz732QjknBX/oO2V6d1s6Udnex9OtmZhVT0LFDzU0DAMw7Cr0lpTLUpUa4H3MueCgnWeJtYCyOFNnoZhGIZruprnqWb3NLASOCYie7DWWpsDZ7DOHTUMwzAMB5Crf/Svqh4QkcbA3VxcUP8zYHYhFkkwDMMwDLsQKb3Nv0VdUD8Z+KKEYjEMwzCMQhC7Ne+KSC/gQ8Ad+FxVi7XMVqGLehF5UUQezOP8gyJS8HpwhmEYhmEngluBrwLvIeIOTMa6Ol4z4C4RaXb5T11eUYr6R4B78zi/F+vUlHfzuGbkI3N6hSty5bzDxeklrihzaomr6nHatfNvL3acp9oB69TMIwAiMgfrmgt7rvSGRSlUa2Fd/CGnE0DeWx0YhmEYRgko5EClKra13zNNsy0Zm6k2l+6yFglcW5y4ilKonsa6mEJ4jvMtgZjiBOGKXHEBBLP4gzX/GXNdb2qz+53WvSxcffEHV8x/SbVOiKVQSyScKWDxh7yWoy3WzuxFqT//CEwSkTZZ0Yi0BSYCPxQnCMMwDMMoPAW1FPwqWCTWzVEyBWFtfb1iRampvgK0BrbYFpxXIBBYD7xcnCAMwzAMo9CUwhaaBdkMNBSResBxrLuwDSvODYsyTzUB6Coi3YG2ttNbVXX1ZT5mGIZhGHamdilUbWu4PwH8gnVKzZequrs49yzyRB9VXQXkO3xRRHYCfVT1WH5pDMMwDKNYMuyzjbeqLgWW2uVmXEGhWgghWLdbMwzDMAz7U/vUVEuC6+0/ZhiGYVz9TKFqlJTfnp5Cx3rNSbdtTHw8Lpomo+/MM+2btz3K/df1pWI5H/4+doBRc95jT9RRvDw8mTL0eXo0aU9gBT8ORUfy8sKpLN+90ZFZKdCoLoO577q+XFOrAd9tWcn937yZK83rfR9kzK0P0+PD/7Bq3+Yrus+Qtt0Zc+vDBAVU5VjsaV5e+CkLd5TOzZi+WXOYT5bv5eDJePzKezL0hnqMH9oGD/e8B/c/Nm0ja/ee4uDJ83z+6PWM6Bp6yfUPluzhvUW7SErNYOC1dZn8YEfKebo7IitXpOWbT1H//oF4VPQh9u89bBk1lrg9h3Kl820YQpv3/keV69sg7m6c3byTLU+OJ/7AUQD8mzek7cQXCGjXAu8qAVfF9Jd6IwZw7RfjyUi6uPz6mlsf4/Sav/JMP0z3k56QSOY+2hFzlvLXw68CEHxnH64Z8yTeNapgSUnlxLK1bPnPm6THJ5R8RopM7db8a2+lc0Vio8iemDsR36e74ft0t3wL1CFtu/PAdbfSaeJjBD7bk41HdjLzvtEAeLi5cyz2NF3eH4n/Mz14bdE05j00juDAmg7MRcFOxJ1h3LKv+HLj4jyv169Sm8FtbuLEuegrvk8t/6rMun80z8z/EL+nu/P8jx8z+4GxVPUNyONOzpeYks7Ee9tzavod/DGuD7/timLi4vzHWrQMDuDjB66lbb3Kua79suM47y7axYpXe3L444EcOXWB0d9vL8nwi6XukN7Uf2AQKzsNY35gB85s3M51M/Ne3M2rki+Ri1azuHEvfqx+AzF/7aTzwilZ1y1p6UTMW86fD77iqPDt4szG7Xzv2zbrlV+Bmmlpq/5ZaTMLVIDoDdtYecNd/FApjEX1e+Dm4UGrcU+VdPhXJnP0b/Gn1NidyxaqIk7abM+J6lWpxfrDOzh65gQWtTDrr+U0qxkCQGJqMmOWfE7E2ShUlSW7NnD0TBTtgps4N+gcFmz/nYU71hKTEJfn9U+GPscLCyaTWsBT7OXuExRQjXNJ8Vm19KW7/iAhJYkGVUrnwmGP9WxMp6bV8fJwp3agD3fdWJ8/9uf/UDHyliZ0v6Ym5Txz//rPXHOY+7uG0rxOJQIqluOVgS35Zs3hkgy/WCrUCyJ6/VYSjkaiFgvhsxbh3yw0z7Qxm3dy5MsfSI2NQ9PT2Tfpa/yb1McrsBIA8QeOcuTLH4jbfdCRWSg1EiNPkhITm3WsGRn4hgY7MaLLsds8Vbsrc4WqiLQVkb9FJF5EvheRuSIyTkS6ikikiLwgIieBr0TEzbZRwGERiRGRebaN1zPv1VFE/hCRcyKyQ0S6Zrv2u4i8KSIbbN+1QkSqOCPPAG/1f5zo95az/rlpdGnYNs80c7asJLRqHRpWq4OHmzsjOvZl+e681+Gt5htIo+p12H3iSEmGbVeD23YjNT2NZcVsst4SsZe9UeH0a9kJN3Gjf6vOpKSn8c/x3E2KpdG6vadoFuR/RZ/dExlHq+CLNfJWwQGciksmJr507u4YMWcJvqF18W0Ygnh4UG/EAE4sX1eoz1brHEZS1GlSz54r4ShLVmCbpgyM3sSt+5fT4tWRiPvlm+p7rP2WAVHr6TT/YyoEX/qgWPWGdgw+t4U7LvxNnUE92ffBjJIMvVhUMwp8OUOhamsi4gmMByarakQByWcB54sb2JUQES9gAfA+MAXoB8zh4mL/NbAuWBGM9YHiSeB2oAsQDXyEdceCu0SkNrAEGA4sB7oD80WkiapmVgOGYd3d4BiwDHgOeLFkc5nbCwsmsyfqKKkZaQwNu5mfR75H6/H3cuTM8UvSRcWdYd2h7RwY8z3pGekciz1Ntw9G5bqfh5s73z4whhmblrL/VEH/u0uHCuXKM6H/4/T86Mli38uiFr75cxmz7x+Dt6cXqRnpDJn+MomppbNgye7r3w+x9UgM0x657oo+fyE5DT8fr6xjf9v7+KR0KvvaJUS7So6KJnrdVvod+AVLejqJx06yqlvBy0CWr12dsMlvsO2ZYu3y5XSn125mSYt+JEQcx795Q26cOwlLejp73p6WZ/qVne8mZtMO3H28aTXuKbosnsqy1rejtvEY0Ru28kOlMMrXqkbow3eQEH48z/s4nV7lfaqqmgaMJO91EnOmfVxVzxQ3sCvUEeuDwkeqmqaqPwLZOxgswBuqmqKqScCjwCuqGqmqKcBoYLCtafgeYKmqLlVVi6quBLYAfbLd7ytVPWC71zysK07lSUQeEZEtIrIlOvry/X1F9Vf4bi6kJJKansY3m5ay4fA/9Glxfa50b/R9iPbBTQl6qR/eT3ZhzJIvWP3UZMp7lsseJzPvH01qehpPzPk/u8ZZksbc+jAz/1xGeExUse/VvUl73h3wBF0njcTrP53o8v7jfH7Py7QKamiHSItv9voj+I+Yjf+I2fR969es8ws3/8vL321j8YvdqeLnfUX3rujtSXxSWtbx+aRUAHzLl47ekpBh/RgSv40h8dvounQ6Ld4YRWD7FiwI6sxc75bsHPMJ3VfPwL18/vkvVyWAbiu+5OCU2UTMWeLA6IsvZ/4TjkaSEB4JqsTtOsCusZOpO/iWfD8fvW4LlrQ00uLi2frf8VSsF4Rf0wa50iWdOM2J5eu4Yc77JZmdYii9zb9F+U1ZA1xP7gX1S5NawHHNHNpmlX0RimjbRuuZgoEFIpL9p58BVLddGyIi/bJd8wR+y3Z8Mtv7RKBifoHZdkaYBhAWFqb/FiIzV0qxFo45tQoKZe7WXzluG8QzY9MSPhjyFM1q1mPrv/sA+OKeV6juG0ifyc+QbnFO88mV6N44jKCAaozsPAiAqr6VmPfQON5ZMYt3V8ws0r1aBzVk7aG/s34mWyL28ufR3fRo0p4dkc7vbxt2Y32G3Vj/knPLtx/n0WkbWfRCd66pe+UDqpoF+bMjIpYh14UAsCMilur+3lT2vbJC2t7CZ/9M+Oyfs467/DyVf+cuI+n4KQCOzlhAuw9exr9ZKGe37sr1ec9Kfty04ksiF61m94SpDovbXnLmPydVhTx+9y+XPq+/FQBuHh5UbFC3yDE6TCmdUlOUPtVvgbdF5GURuVlErs/+KqkAiygKqC2X/ivJvlhyzt0HjgG9VbVStpe3qh63XZuZ41qF4u4Kb2/+5SvSs+m1lPPwwt3NnWHtb6FzaGt+2ZO7r3RzxF6GtO1ONd9ARIR7OvTC092DQ9HWHf0+vet/NK0ZQr9PnyM5LcXRWSkUdzd3a17FDXc3t6x8d//wCVq8OYzWE4bTesJwTpw7w6Oz32Hymrz3esjvPmD9OXUKbZ1VM20d1IhOoa1LbZ/q6l1R3PvJOuY905UOoQV366emZ5CcmoEqpGVYSE7NwGKx/mrc07kBX/12kD2R54i9kMKEBTu5t0vumkxpEbN5J3WG9MK7WmUQIeSe/rh5ehB/KHe3hYdvBbr98gVnNmxjx0sT87yfWzkv3Lw8c70vrWr26mzNO+DXuD4tXhtJ5MK8F7zzbxZKpVZNEDc3PCr40GbiiyQdP03cXutAtJBh/fCpYx3t71O3Fi3HP8WpVaVrSt1FZaOmOsv233F5XFOs6yY620asNc0nRORToC/WTWh/zyf9VGC8iIxQ1QgRqQpcr6oLseZ3s4jcAvyKtZbaEeuGtnntK+sUnu4ejLvtUZrUCCbDYmHfqQhun/oCB079S52A6ux5/Tuajb2LY7GneOeXmVTzDWD7K99Qwas8h6IjGTTtJeKSLlA3sAaPdR5IcloKJ9++2CT26Ox3mL35Fyfm8FKv9r6f0bc+lHU8/NrejF78OWOWfH5Jugy1EJsYT0JKEgAv9RpBp9DW9Pnk6QLvs/bg34xe/Dk/PDyB6n6BRF84x4TlM1i59/JTFZxl/I//EJeYRr+3L/4xvbFJNZa81AOAvm/9yo1NqvPSgGsA6DX+V9butdbsNh6I5rHpm/j1tZ50bV6DXq1r89xtLejx5grrPNUOdRk9JN9eDafb8850vKtVpvf2n/Co4EP8oQjWDXqStLh4ALounc7pdVvY89Zn1BlwM5U7tMS/eSj17huQdY8lzfqSeCyKCsG16R9+cSnzock7uRAeyaJ63R2er8Kq0b0jHb9+C8+KPiSfiuHorEXsnvBZ1vXs+feuXoX2n47GJ6g66QlJRP/xN2tufRRNt/ZN+jVrQOt3nsMrwI/U2POcWLqG7S+V0uZfpdT2qcqlLaWXSShy2bHVhRjA5BAiEgZ8DoRiHTzkDvwNrANmqWpQtrRuwFNY+1ZrYd0zdq6qvmy7fi3WQU7XYC2s/wIeV9V/ReR32/0+t6W9D3hIVW8sKMawsDDd2r509FE5ktlP1eynejUsqFASXH0/VRHZWsC+pkUS1qqubl72vwLTudX+j12/tzCKsktNqSg0C6KqW8g2YEhE/gR+VtXfse6Vlz2tBetI4Twfx1T1T6wjg/O61jXH8dfA11ccuGEYhlF4pbRPtUjVJduo2PZYB/F4Zb+mqt/YMa4rJiJdgP3AGeBuoCXWKTGGYRhGWVCKp9QUulAVkYZY522GcnHAj2CdpmIBSkWhCjTGOr2lInAYGKyqxZ9nYRiGYZQepbSmWpTRv5OAPUAVrNNHmgE3AtuwLoxQKqjqNFWtbhup21JVr66JaIZhGMblqYLFUvDLCYrS/Hst0ENVz4qIAqjqHyLyEvAB0K4kAjQMwzCMXCyFG2TraEUpVD25uPzgGaxL/u0HjgJN7RyXYRiGYeRNFdKv8j5VYB/WwvMosB34j21h+ie5dNUioxAyp1e4IlfOO1ycXuKKMqeWuCpXz79dlYGa6odAVdv7scAvWPtYU7GOsjUMwzCMkqc4rc+0IEWZp/pdtvfbRSQEa801QlVj7B9a2WZZXfzdVK42bt0+AqD7fNd8Bls16FvANRe/yGydcMXFD8As/mB/WmoL1UKP/rXtNfpy5rGqJqnqNuBhEZlbItEZhmEYRk4KpGcU/HKCokyp6QIszeP8MqCzfcIxDMMwjIKotU+1oJcTFKVP1R+4kMf5RODK95oyDMMwjKIoC32qWFcnuhnIuf/VzVhHBBuGYRiGAyiaUTr3ey5KoToFeEdEvIGVWJ8VbgFGA6/YPzTDMAzDyENZqKmq6mQRqQaMB/7PdjoFmKiqH5dEcIZhGIaRp6u9UAVQ1TdE5B2gue3UHlVNsH9YRlHsOhrDc1PXs+3AaWLOJ5Ox6j+XTZ+RYWH0jD/5avle4hNTCa3tz6qJA6lUsRwpqRm89PkfzPv9IEkp6Qzt1ogPRnXC06M07EGf2+4P/yB250kyUtLxqlSe4P5NqdUj9LKf2TZ6Fed2naLr3KG4uVvH6m17/VfOHzyD2I7LBZan40f9Sjz+4mpSI4TJQ5+jXd0mRMfH8vyPn/DTjjW50t3bsQ9P3nQHDavW4XxyArM3r+DlhZ+SYbm0CS20ah12vjaLH7b9xvCvRzsoF8XT8s2nqH//QDwq+hD79x62jBpL3J6cvVTg2zCENu/9jyrXt0Hc3Ti7eSdbnhxP/AFr75V/84a0nfgCAe1a4F0l4KqZ/lKhXhBhH71KtS4dyEhJ5ciX89n+wnt5pu3w2ViqdemAb8NgNj3wMkdnLLjkeuOnRtDshYdxL+/Nsfkr2Pz4G1hS0xyRjSJy3kCkghRl9C8AqpqoqpttL1OglgKeHm4M6RLK9OcKt6/B6Bl/snH3STZ8PJhzPz/KjBd74u1lLTTfmbOFrftP8c/nw9g3Yzh/HzzN+FmbSzL8Ygke2IzrP+1Pl5l30PLFzhyZ8w/nD5/NN/3JtUfRjLyfcBs9GEaXWXfQZdYdV0WB6u7mzsLH3mXxzg0EPtuTR2a/zaz7R9OwWp1caX28vHnq+0lUef4Wrn3nQbo3CeO5HsNypZs89Dk2R+x1RPh2UXdIb+o/MIiVnYYxP7ADZzZu57qZ7+aZ1quSL5GLVrO4cS9+rH4DMX/tpPPCKVnXLWnpRMxbzp8PXj29WW6ennRb+RWnVm/ixxo38FNQZ8JnLco3feyOfWweOZqz2/bkulaz5400e/ERVne/j4Uh3ahYP4hrxpTS+fSKdZnCgl5OUORC1Sh9GtcJ4ME+zWkeElhg2tj4ZD6cv4PPnu1GcHU/RIQW9Srj7WVttFi8MZwnBrYi0M+bqpXK88SAVny1vPT+ka1YpxJunpm1aAEg6VR8nmnTE1I5+v0uQoe3cVB0JatJjWBq+Vdh0qrvsKiF3/ZvZcPhfxh+be9caaeu/ZH1h3aQlpHOibhovv3rF25o0OqSNHeG9eBcUjyr9m1xVBaKrUK9IKLXbyXhaCRqsRA+axH+zfJuqYjZvJMjX/5Aamwcmp7Ovklf49+kPl6BlQCIP3CUI1/+QNzug47MQrHUu28ASSdOs2/S12QkJmFJSeXczvwXWzg4ZTanVm8iIzkl971G3M6RL34gbs8h0s6dZ9ebU6h/34CSDP/KaemdUmMK1XzYNmQvc3YejcHDXZi/5hC1Bn9Bk3tnMuWnf7Kuqyqa7d+iKkRGXyDuQu5fwtJi//TN/D5sLn/+dzFeAeWp3KZWnukOz95B7Z4N8arkne/1dffPZ+srK4jddaokQ7YLsT1EXHJOhBa16hf42c6hrdkddSTr2Nfbh7G3PsKz8z+ya4wlLWLOEnxD6+LbMATx8KDeiAGcWL6uUJ+t1jmMpKjTpJ49V8JRlpwqHVuTEH6crkunMzB6E91/+wb/Fo2u6F7+zRsSu2Nf1vG5HfspX6Nq1kNHqVNKt35zuUJVRNqKyN8iEi8i34vIXBEZJyJdRSRSRF6wbRTwlYgEiMhiEYkWkVjb+yDbfYaIyNYc935WRH5ySsYKKTL6AnEJqRyIPMfhb0cw743ejPnmT1Zu+ReAXh2C+fjHHUSfS+Lk2QQ+WbADgMSU0rkjBEDjh9vTZeYQ2r7Zg6rX1slWc73o/KEY4vZHE9Qn7z84De5pzXWTb+OGabdT6+ZQ/nl7DYkn867xlhb7ToZz+kIsz998Dx5u7tzctANdGrbBxyvvh4ZM913Xl7Dgpvzfym+zzr3Z71G++ONnImNPl3TYdpUcFU30uq30O/ALdybtoO6QXmx7+q0CP1e+dnXCJr/BtmfedkCUJccnqDrBQ/uw/6OZ/FSrEyeWrKHLwim4eXoW+V4eFX1Ii7u4FEFqnPXfv6dvBbvFa1clXKiKyHsisk9E/hGRBSJSqKcLlypURcQLWAB8DQQC3wHZ2zdq2M4HA49g/fl8ZTuuCyQBn9jSLgLqiUj2be/uAWbm892PiMgWEdkSHR1drHx8++t+/PpOxa/vVPq8uLBIny1fzloBf+3e9pQv50HLBlW486ZGLPsrAoCX725P69AqtH3kO2588gf631AfTw83qlUqX6yYS5q4u1GpaTVSYhI5/sulzXdqUfZ/vpmG97fLGpiUk3+jKniU98TN052aXevj36QqMdtOOCL0K5ZuyeD2qS/Qt8X1nHxnKc/2GMa8rasuWzD2b9WZt28fRe9PniYmIQ6AVkEN6dGkPZNWfZfv50qLkGH9GBK/jSHx2+i6dDot3hhFYPsWLAjqzFzvluwc8wndV8/AvXz+DxblqgTQbcWXHJwym4g5SxwYffHlzH9GUgrR67cRtXwtlrQ09v7fF3hVroRf04JbK3JKv5CIp1/FrOPM92nxpXDojKojlilcCbRQ1ZbAAeClwnyoTDZxXkZHrHn+SFUV+FFE/sp23QK8oaqZbZ1JwPzMiyIyHvgNQFVTbGse3wO8IiLNgRBgcV5frKrTgGkAYWFhxWrsv7tHY+7ucWUjE1vWrwLk3XQI1kL34ye78vGTXQGYtngX7RpWwz2fwqi0UYvm6lNNT0oj/vBZdk/akJUG4I9Hf6LFMzdSqVm1fG5WoqHaxc7jh+g6aWTW8YbnpjFjU16ricItzToy/e6X6Dv5WXadOJx1vmujtoRUrsm/460PaBXLlcfdzY1mNWfQ7q0RJZuBIgqf/TPhs3/OOu7y81T+nbuMpOPW5vqjMxbQ7oOX8W8Wytmtu3J93rOSHzet+JLIRavZPWGqw+K2l5z5bzn2v1S5oa1d7h23+yCVWjXm3++XARDQqglJJ6NLZ/O4A+apquqKbIebgMGF+dzV8ZfSfmoBx20Faqbse8FGq2py5oGI+IjIZyISISLngbVAJRHJbF+cAQwTEQGGA/OyFcgOo6okp6aTmmb9R5acmk5Kat5PaQ1q+dPpmlpM+HYzKakZ7I04y7zfD9K3YwgAx6MvcOLMBVSVTXtOMn7WZt6471pHZaVIUuOSObU+nPSkNDTDQsz2E5xaH05AixqXpPPw8eSGaQNo/15v2r/Xm1YvdwWg/Tu98GtYmbSEVGK2nyAjNQNLhoWTa49ybu9pAlvXdEKuiuaa2qGU8/CivGc5nu0xjJr+Vfh6U+7a102N2/Ht/WMYNO0lNkdcOvJz2rqfaPD6IFpPGE7rCcOZum4BS3b9wS0f/9dR2bhiMZt3UmdIL7yrVQYRQu7pj5unB/GHInKl9fCtQLdfvuDMhm3seGlinvdzK+eFm5dnrvel1dFZi6jSsRXVu1+HuLnR+KkRpJyJ5fzeI3mmd/P0xK2cFyKCm6cHbuW8QKwP2Ee/WUiDBwfj17QBnpX8aP7q4xz5ekGe93G+Qg9UqpLZQmh7PXKFX/gA1nXuC+RqNdUooLaISLaCtQ7WJRghd93kWaAxcK2qnhSR1sDf2IaZquomEUkFOgHDbC+HizgVT4O7L258XaH3pwRX9+XI7PsA6PPiQjpdU4uX7m4PwLev3MJDE1dRdcB0qgWUZ8x9Hene1joN43BUHPe9vZLT55KoU7UiEx66np5hdR2ep8I6vuIQ+6dtRlXxrlqBhve1o2qHIJKjE/jz6SVcO6kv3lUrUC7gYvO1Jc36wOFZyRs3dzfSE9M48t0/JB4/j7gJPrX9aPm/zlSo7eesbBXa8Gt78dANt+Hp5sG6wzu4+aMnSU1Po05Adfa8/h3Nxt7FsdhTvNb7AfzLV2DpqPezPrvu8A76fPI0SWkpJKVdfBa8kJJEcloqZy6UwhpKDnvemY53tcr03v4THhV8iD8UwbpBT5Jm6w/sunQ6p9dtYc9bn1FnwM1U7tAS/+ah1Ms2qnVJs74kHouiQnBt+oevzjo/NHknF8IjWVSvcFPVnCH+wFH+uOd5Okwdg3e1ypzdtpu1tz2OJc06tzR7/gFuWvEF1btaH5Kr3tCWa6eP49euwzm95i+iflnH3nc/p/tv3+BR3pt/5//CzjdK8cC1wtVUz6hqWH4XReRXrN1+Ob2iqgttaV4B0oFv80iX+56XVtrKNluf6iHgPeBToC/wPfAu8CswS1WDsqV/F7gGa7+rD/AFcDvgqarptjSvAHcCFVW1UB0ZYWFh+te719srW1cNs5+q2U/1allQwd5cfT9VEdl6ucKtqMIaVNE/J/QtMJ3H0G+K9b0iMgJ4DOiuqomF+YxLNf+qaiowEHgQOIe1P3Qx1uUW8/IBUB44g7VNfXkeaWYCLchngJJhGIZhZ6qQUYhXMYhIL+AF4LbCFqjges2/qOoWoHXmsYj8Cfysqr8DQTnSngC65rjFZzmOo4EEYJa9YzUMwzByUy4OOCxBnwDlgJXWYTNsUtXHCvqQyxWqItIF2I+19nk30JK8a6CF9TiwWVWvnmVYDMMwrmYWIJ/BmPaiqpdfRDwfLleoYh14NA+oiHWA0mBVjbqSG4lIONYxMyOeAAAgAElEQVRBS7fbLTrDMAyjAOqImuoVcblCNft8UTvcK8Qe9zEMwzCKQCl2n2lJcblC1TAMwygDTE3VyC5zeokrypxa4qoyp5e4osypJa7K1fNvN6poWsn2qV4pU6gahmEYVxfT/Gvk5KqTwME18w4X83//ygedHInjfXXzF4BrLnwBF1snLCtGOTkSx3PrOblE7msGKhmGYRiGPZiaqmEYhmHYiSqa5pxNyAtiClXDMAzj6pNhClXDMAzDKDZV06dqGIZhGPahCqb51zAMwzDsQ81AJaOk1BsxgGu/GE9GUnLWuTW3PsbpNX/lSuvbMIQ27/2PKte3QdzdOLt5J1ueHE/8gaNZaVq++RT17x+IR0UfYv/ew5ZRY4nbc8gheblShY25oPz7N29I24kvENCuBd5VAkr99J+1b68havsJ0pPTKR9QnhZ3XEOj3nnHvHv+LnbO20lGSjrBnUK47j/X4+7lDsCy55YSvTcaN3cBwKeKDwO/HOywfFyJ4MCaTLnrea6r34KUtDR++Hs1T33/ARmWSxcFuDOsB2NufZgafpVJSU9l2e6N/GfuROKTE/Hy8GTK0Ofp0aQ9gRX8OBQdycsLp7J890Yn5apodoXH8Ny0P9h2MJqY88lk/DIy37Trdp6g76uLLzmXkJzOvFdvYVCnBqgqr8/4i69X7ONCUhptQqvw8ajONA8JLOlsFJ1SaldUcqn9VDOJSLiI9MjjfFcRiXRGTMV1ZuN2vvdtm/XKq0AF8KrkS+Si1Sxu3Isfq99AzF876bxwStb1ukN6U/+BQazsNIz5gR04s3E7181811HZuCJFibmg/FvS0omYt5w/H3zFUeEXyzVDWzL4mzu4+6fhdBvTg21fb+PMgTO50h3fEsnOuf9wyzu9GDzzDuKj4vl75rZL0nR8oiP3LLqXexbdW+oLVIApdz3P6fhYar5wK60nDKdLwzaM7DIoV7oNh//hhvceodIzPaj/2iA83DwYd5t1By8PN3eOxZ6my/sj8X+mB68tmsa8h8YRHFjT0dm5Ip7ubgzp3IDpT99UYNpO19Ti/MJHsl6LxvalYnlPerWvC8D3aw/z1S97WTPxds788AAdm1ZnxHu/lnQWrpBaByoV9HIClyxUXVnM5p0c+fIHUmPj0PR09k36Gv8m9fEKrARAhXpBRK/fSsLRSNRiIXzWIvybXdEOSA5TlJgLyn/8gaMc+fIH4nZfHTv5BYQEZNU2RQQRiI86nyvdoZWHaNirEQEhAZTzLUeru1tzaEXpbn0oSL3KtZi39VdS0lM5df4sy/dsonnNernSRcaeJiYhLus4w5JBaFXr1smJqcmMWfI5EWejUFWW7NrA0TNRtAtu4rB8FEfjOgE82KsZzYOLXpv8ZuV+Bt3YgArengCEnzzPDc1rUr+mP+7ubtzdrTF7ImLtHbJ9KGiapcCXM5hCtYwIbNOUgdGbuHX/clq8OhJxdy/U56p1DiMp6jSpZ88BEDFnCb6hdfFtGIJ4eFBvxABOLF9XkqEXW3Fizpn/q9HGj/5gZr8ZLHhwPuUDfQjqUCdXmnMRsQTWv/iHN7B+IMmxSSSfv9hlsPXLrXw3+FuWPrWYqB1XtBuiQ33421yGht1Mec9y1PKvSu/m17F8d97rKt/QoBXn3v+VCx/8xqA2N/HB6jl5pqvmG0ij6nXYfeJISYbudInJacxff5h7b77YVXBn14YcjorjQOQ50tIz+ObXfdwSVteJUV6GbfRvQS9ncOU+1fYi8hFQE/gJ62bjlxARBRqq6iHb8ddApKq+aju+FRgHhAB7gMdU9R+HRJ/N6bWbWdKiHwkRx/Fv3pAb507Ckp7Onrcvv8Nd+drVCZv8BtueeTvrXHJUNNHrttLvwC9Y0tNJPHaSVd1GlHQWiuVKY84r/1ej6568nmtHdSR672lO7jiJu2fuB6r0pHQ8K3hlHXvZ3qclpuHt503Yg2FUCg7AzcONo78fYdXrK7nt09vxq+XnsHwU1ZqDf/Pwjf05P2kVHu4efL1xCT/tWJNn2g2Hd1DpmR7U8q/Kwzf2Jzwm90ODh5s73z4whhmblrL/VERJh+9U89cfoYqfN11a1so6VzPQhxtb1KTpg7NxdxPqVK3Ir+/2d2KUl1daByq5ck31buAWoAHQCHi1KB8WkbbAl8CjQGXgM2CRiJTLJ/0jIrJFRLZER0cXK/CQYf0YEr+NIfHb6Lp0OglHI0kIjwRV4nYdYNfYydQdfMtl71GuSgDdVnzJwSmziZizJOt8izdGEdi+BQuCOjPXuyU7x3xC99UzcC/vXayY7Sln/q8k5vzyf7Vyc3ejeosaJJxJYN/Pe3Nd9yjvQVpiatZxqu29p4+16a9q02p4+nji7uVOaM+GVGteneN/ld7hBSLCL//5gB///p0KT91E5ed6EuDjyzsDnrjs507ERbN8z0bmPDgu1/1m3j+a1PQ0npjzfyUZerF8u/oAfv2n4dd/Gn1eWVzwB/Ixc+V+hvdojIhknRs7azNb9p8mYta9JC5+lNfuaU+P/y0kMTnNHqHblWrBtVRn1VRduVD9RFWPqepZYDxwVxE//zDwmar+qaoZqjoDSAHyXDFcVaepapiqhlWtWrVYgYfP/jlrQNLvfR7O67sg2y9LTp6V/LhpxZdELlrN7glTL7kW0KoJ/85dRtLxU2hGBkdnLMArwK9U9avmzH9RY75c/q92mqHER8XnOl8pOIDYI2ezjmMPn8U7oDzefnk/eAi2f0elVKCPH3UDa/DJ79+Tmp7G2YTzfLVxMX1aXFfgZz3cPGhQtfYl57645xWq+wYyaNpLpFtK55ZiAHd3a5Q10Gjp+Fuv6B7HTsfz+z/HGd7j0lHiO47EcEeXUIKqVsTD3Y37ejYh9kIKe/4thf2qChlplgJfzuDKheqxbO8jgFr5JcxHMPCsiJzLfAF1ruA+xVazV2e8q1UGwK9xfVq8NpLIhavyTOvhW4Fuv3zBmQ3b2PHSxFzXYzbvpM6QXtb7iRByT3/cPD2IP1R6m8OKEnNB+QdwK+eFm5dnrvelTVJsEkd+O0JaUhqWDAvHt0Ry9Lcj1Gyde+Rqgx6hHFh+kHMRsaTEp7Bj9g5Ce1ofOlIupHB8SyTpqelYMiwcXnWYUztPUTssyNFZKrSYhDiOnDnO450H4u7mjn/5iozo2IcdkbkHXw1rfwt1AqoDUDewBuNve5RV+7ZkXf/0rv/RtGYI/T59juS0FIflwR5UleTUdFLTrQ8CyanppKRe/qFg1qoDXN+sBg1q+V9yvn3javyw7jCnYhOxWJSZv+4nLd1CaI50pYECarEU+HIGV+5TzT6aoy5wIo80iYBPtuMaQGab2DFgvKqOL5nwCq9G9450/PotPCv6kHwqhqOzFrF7wmdZ17sunc7pdVvY89Zn1BlwM5U7tMS/eSj17huQlWZJs74kHotizzvT8a5Wmd7bf8Kjgg/xhyJYN+hJ0uJy135Ki4JiLkr+KwTXpn/46qzzQ5N3ciE8kkX1ujs8XwURgf2L97Hxoz9AlQrVKtLh8Wupe30wF05f4KeHfuT2zwdSsVpFgtoHcc2Qa1j+/DIyUjMIvjGENsPbAqDpFrZ9vY24Y+cQNzf86/jTbXR3/OuUvj+m2Q387EU+GPI0L9wynAyLhd/2b+XpHz6gTkB19rz+Hc3G3sWx2FM0q1mPdwaMIsDHl9jEeJbu+oOXbNOo6gbW4LHOA0lOS+Hk2xe7AR6d/Q6zN//irKwVWsSpeBqMmJV1XKHfNIKr+3Lkm+EA9HllMZ1a1OSlu9plpZn5636eHdI6173+d0cbTp9Lou3IeSQkpxFay5/vX+tFpYp59mg5l2qp7VOV0tzEU1JEJByIB3pjLTgXAuuAFcAsVQ2ypdtgO/8KcDOwAJioqq+KSJjteDDwF9bCtyuwVlUvWwKFhYXpM1tLbyFVUsx+qmY/VbOfqmvupyoiW1U1zF73bB1YUVf2bFlgumpzN9r1ewvDlZt/Z2MtRI/YXuPySPNfoB9wDuvApp8yL6jqFqz9qp8AscAh4L4SjdgwDMMAzJSaUkVVQ2xv38px6XcgKFu6LUDzy9xnObDczuEZhmEYl6EKllK6TKFLFqqGYRjG1az09qmaQtUwDMO4uihY0s3Wb4ZhGIZRbKqld0UlU6gahmEYVxl12jzUgphC1TAMw7i6mJqqkVPmnEVX5Mp5h4tzNl1R5nxNV+XWc7KzQygTVCHD9KkahmEYhn2YmqpxCVdcVcisqOS6+c/Mu6uvqOSK+S+R1gl13OIOIvIc8B5QVVXPFJTeFKqGYRjG1UXB4oBdaESkDtYlav8t7GdceZlCwzAM4ypk3aXGIcsUTgL+Z/vKQjE1VcMwDOPq4oDRvyJyG3BcVXfIZfanzskUqoZhGMZVRgu79m8VEdmS7Xiaqk7LPBCRX7Fu6ZnTK8DLQM+iRmYKVcMwDOOqogrp6YVKeuZyW7+pao+8zovINUA9ILOWGgRsE5EOqnrycl9oClXDMAzjqlOSCyqp6k6gWuaxbQ/usMKM/i3TA5VEJFxEcj2JiEhXEYksqfs7Wr0RAxiavoch8duyXtW6dMg3vbi50fLNp7j9+DqGnN9Gr20L8PT3zZWu26oZDNP9iLt7SYZfZP7NG3LT8s8ZGL0p34Ukgu/sQ989S7njwt/0O7SSqje2K/C+l8uvb2gwdyb9w3Uz3yt2/CWh5ZtPcXvkWgaf20L3377Bv1lonul8G4bQ+acpDDy9kUExf3LT8s/xbVQv63phfrbOMqrLYDa/+BXJH63lq3tfu+TagzfcxsEx3xM/aTXLnphETf8q+d7nt6enkPTRGuInrSZ+0mr2jZ6bda1pjRA2v/gVZyeu4OzEFaz878c0rRFSUlkqkvzyX9SYA3z8+PHRt7nwwW+Ej1vAXe3zbuF8ve+D6Keb6N6kvb2zUmwKWLTglzOYmmoZcWbjdn7tNKxQaa8Z8yRVrm/DiuvuJPHfE/g3b0hGcsolaUKG9cPNo3QVppksaelEzFvOgSnf0WXhlFzXa/S4ntbvPMf6O58m5q9/KF+zaoH3LCi/YZNfJ2bzzmLFXVLqDulN/QcGsfLGu0iMOEHLcU9x3cx3Wd5uYK60XpV8iVy0mk33v0RafALXvD6KzgunsKRpb6Dgn60znYg7w7hlX3FLs46U9yyXdb5zwzZM6P8YN00axcHTx/jwjmf47oGxdJ00Mt97PTF3Il9sWJTndwye9jIRZ6NwEzdGdR3MnAfH0Wr8PSWSp6LIL/9FjXny0OdITU+n+gt9aB3UiCWjJrIj8iB7oo5mpalfpTaD29zEiXPRJZ6vK6IlW1PN9XUX9+AuUJmuqRq5eVbyo/FT9/LXw6+S+O8JAOJ2H8SSknoxjV9FWrwxir//VzprZfEHjnLkyx+I230wz+vXjPkPO8dOIebPHaBK0onTJJ04ne/9Cspv8J19SD0Xz6lVG+0Sv71VqBdE9PqtJByNRC0WwmctyremGrN5J0e+/IHU2Dg0PZ19k77Gv0l9vAIrAQX/bJ1pwfbfWbhjLTEJcZec73fNjXy/bTV7oo6SlpHOm0u/pEujttSvUrvI3xGXdIGIs1EAiAgZlgxCqwXZJf7iyi//RYnZx8ubQW1u4rWfPyMhJYkNh3ew6J91DL+29yXpPhn6HC8smExqRuE6Lh0ts0+1oJczuEKh2l5E9ohIrIh8JSLeOROIyIsiclhE4m1pB+S4/rCI7M12vW0e92giIkdFZGhJZiY/gW2aMjB6E7fuX06LV0fm22Rb6ZpGaHoGdQb3YkDUem7dv5yGIy+t4baa8AwHP/2O5JMFdh+UOuLmRmBYC7yrBtDv4ApuP7aGsI9fw927XL6fuVx+PXwrcM3YJ/n72bdLMuxiiZizBN/Quvg2DEE8PKg3YgAnlq8r1GerdQ4jKeo0qWfPlXCUJUdEEC5Oech836JW/Xw/81b/x4l+bznrn5tGl4a5fp2JnbiS5I/W8PEdzzJh+Qz7B10CChNzo2p1ybBkcPD0saxzOyIP0rzmxZ/V4LbdSE1PY9nu0vkQmcliKfjlDK7Q/Hs3cAuQAPwMvAr8miPNYaATcBIYAswSkVBVjRKRIcBo4HZgC9AASMv+YVsh+xMwUlUX5xWEiDwCPAJQt25dIFfZfsVOr93Mkhb9SIg4jn/zhtw4dxKW9HT2vD0tV1qfoBp4VfLDr1EIi+p1x7dhCN1WfU38gXBO/voHge1aUPWGtmz973h8gvIaaV66eVevgruXF3UG92Jlp7vRtHQ6L5xC81cf559XP8iVvqD8tnrzKQ5/MZ/EyMsO+HOq5Khootdtpd+BX7Ckp5N47CSruo0o8HPla1cnbPIbbHum9D4wFMbSXX8w96FxTF23gIOnj/F63wewWCz4eOX9O/bCgsnsiTpKakYaQ8Nu5ueR79F6/L0cOXM8K03Aszfj4+XNiI59s2qBpV1hYq7oXZ64pIRLzsUlJeDr7QNAhXLlmdD/cXp+9GSJx1scivMKzYK4Qk31E1U9pqpngfHAXTkTqOr3qnpCVS2qOhc4CGSO9HkIeFdVN6vVIVWNyPbxTsAiYER+BartO6apapiqhlWtWnAf3+WEDOuXNSCp69LpJByNJCE8ElSJ23WAXWMnU3fwLXl+NiMpGYCdYyeTkZzCuZ37iZizhFp9uoAI7ae8wdb/jkczMooVoz3lzO/lpNvyd+DjmSSfjCYlJpZ9739lzV9OBeS3UqsmVO9xHfsnfW2PbNhNzp9HizdGEdi+BQuCOjPXuyU7x3xC99UzcC+f/4NbuSoBdFvxJQenzCZizhIHRm9/q/dv4Y3F05n/yFtEjF9AeEwU8SmJRJ7Lu8n/r/DdXEhJJDU9jW82LWXD4X/o0+L6XOkSU5OZuu5HvhnxBlV9A0o6G3ZRUMwXkpPwK1/hknN+3hWIT04EYMytDzPzz2WEx5TuB4nS3PzrCjXVY9neRwC1ciYQkXuBZ4AQ26mKQObwwTpYa7L5eQxYo6q/FTvSQgqf/TPhs3/O97qqQj4rgJz7Z39molzXPP0qEhjWghvmTgLIakK+PXIN64f8l+j1W4sZ+ZUpKL/ZpZ07T8KxqDzzl1NB+Q1s14KKIbXp/6/1f61HRR/E3R3/Zg3yHATkKDl/Hl1+nsq/c5eRdPwUAEdnLKDdBy/j3yyUs1t35fq8ZyU/blrxJZGLVrN7wlSHxV2SpqyZz5Q18wFoWK0Or/a+n10njhTqs4q1CTkvbuKGj1c5avtXJTo+1l7hlqjLxXzg9L94uLkTWrUOh6KtfxpbBYWyO8r6s+reOIyggGqM7DwIgKq+lZj30DjeWTGLd1fMdGxGLsfBA5WKwhUK1TrZ3tcFTmS/KCLBwHSgO7BRVTNEZDtkddIcw9rkm5/HgBdEZJKqPm2/sAuvZq/OxG7bTfLpGPwa16fFayP59/vleaa9cOQYp9dupvkrj7H1yXFUrF+H4Dv7sOGuZ0iLi2dBrU5ZaX3q1KTX5h9Y3m4gKdGl6w+KWzkv3Lw8s96jiiXV2ip/5KsfafSf4ZxYvg5LWjqNnxrBicW/57pHQfk9u3X3JbW4ps89QIWQ2mx+fHSJ5q2oYjbvpM6QXkTMWUJy9FlC7r4NN08P4g9F5Err4VuBbr98wZkN29jx0sQ873e5n60zubu54+Hmjru44e7mRjkPL9ItGdZColoQu08coU5Adabd/RIf/jaXc4nxue7hX74i14Y0Z83Bv0m3ZHBnux50Dm3NU99bH6x6NOnAmQvn+Of4ISqU82bcbY8RmxjP3pPhDs5tbvnl/6ZG7Qodc2JqMj9u/52x/R7moVkTaB3UiP6tOnP9ew8D0P3DJ/B0v1gsbH7hK56Z/2Gp7F/VQjw4O4MrFKqjRGQxkIh12am5Oa5XwPqwGg0gIvcDLbJd/xx4X0TWA9uw9almawKOB3oBq0TkbVV9scRyko8a3TvS8eu38KzoQ/KpGI7OWsTuCZ9lXe+6dDqn121hz1vWcxvueoZrv5jAoJg/STl9ln9e+5BTq63bMyWfujhYJ3NwT/KpmFLVHFwhuDb9w1dnHQ9N3smF8EgW1esOwK43p1CuSgD9DvxCRnIK/85bxq7xnwLWgrPvniUsadaXxGNRl89vWlpWczlA+oVEMpJTSTlTuh4w9rwzHe9qlem9/Sc8KvgQfyiCdYOeJC3OWqhk//9fZ8DNVO7QEv/modS77+J4vMyfR0E/W2d6tff9jL71oazj4df2ZvTiz/lg9Rxm3z+WBlVrE5+cyFcbF/PaoovjCV7qNYJOoa3p88nTeLp7MO62R2lSI5gMi4V9pyK4feoLHDhl3YSkkk9FPr7zGYIqVSMpLYXNEXvp9cnTpKSn5orH0fLL/+6oI5eNOXv+AUZ+9x5fDn+F0+8uIyYhjse/ezdrOs3ZhPOXfGeGWohNjCchJclBuSyc0tynKqW1tLcH2yoYnwHDsTb7LgQex9pfOktVg2zpxtvOW4BvgHbATFX93Hb9MeBpoDYQDgxX1b9t939IVX8VkUDgN2CRql46Mz2HsLAwfWZr7qfoss6V9xMF186/2U/VtfdTFZGtl1susKgaeXjrR37BBabrHXvArt9bGGW6ppptwu5bOS79jnUtx8x0r2BdQDm/+0wFcnU+ZZ8QbBsI1eqKgzUMwzAKpTTXVMt0oWoYhmGUQWagkmEYhmHYh6mpGoZhGIa9KKSXnrGTlzCFqmEYhnFVMTVVwzAMw7AX06dq5FTa9qp0JFfOO7h2/jOnlrgqV8+/vZTmmmqZnqdaWolINNYlE52hCnD1bT9jP66cf1fOO7h2/p2d92BVLd6i59mIyHIuLiV7OWdUtZe9vrcwTKHqYkRki6MnQ5cmrpx/V847uHb+XTnvjuYKu9QYhmEYhkOYQtUwDMMw7MQUqq4n987lrsWV8+/KeQfXzr8r592hTJ+qYRiGYdiJqakahmEYhp2YQtUwDMMw7MQUqoZhGIZhJ6ZQNQzDMAw7MYVqGSci5URkvIgcEZE427meIvKEs2NzBBGpJyKzRWSPiPyb/eXs2IySJSLNRKS67X1FERkjIq+LiI+zY3MGEblJRDo7O46yzoz+LeNEZApQG3gbWKaqlUSkNrBCVZs7N7qSJyIbgcPAt0Bi9muqusYpQTmQiFQFklT1goi4A/cCGcAsVS2lq6fah4hsB+5U1f0iMhVoDCRjXbpuuHOjK3kisgZ4WVU3iMgLwDNAOjBZVSc4N7qyyxSqZZyIRAGhqpogImdVNdB2/pyqVnJyeCVORM4Dlcp6AZIfEfkTeExV/xaRt4F+QBrwm6o+7dzoSlbmv3EREeAk0BxIAo6qajXnRlfyRCQGqKaqGSJyCOv/+wvABlWt69zoyi7T/Fv2pZJjNyJb7SXGOeE43FqgjbODcKJGwHbb+3uA3kA3YKjTInKcFBHxBToAx1T1DJACeDs3LIdxA1REGmCtQO1V1WNAgJPjKtPM1m9l3/fADBF5GkBEagIfAHOcGpXjhAO/iMiPWGsrWVT1dadE5FgZgJeINALiVPVfEXEDKjo5LkeYDawGfIFPbOfaAkedFpFjrcea75rAAgBbAeuqO/U4hClUy76XgXeBnYAPcBCYDoxxZlAOVAH4GfAE6mQ77yr9HsuAeUBlLj5INQOOOy0iB1HVp0WkJ5Cmqr/ZTluAMt3snc19wLNANPCe7VwT4ENnBeQKTJ+qC7E1+55R8z/dZYhIOWAE1n7UmaqaLiJdgRqq6hKtFbaBebWAE6pa5h8mDOcyhWoZJCL1C5NOVY+UdCzOJiLvA78D61X1rJPDMRxIROpiHfXdEYgFAoFNwN2qGuHM2EqKiIwtTDoX6fpwCtP8WzYdwtq8KVxs5hTbf7M/Rbk7MignScDaBDZHRA4Ca2yvtaoa7dTISoiIzKQQzduqeq8DwnGmGcBWoJdt9HtF4E3b+a7ODKwEZe/i8AYGAZuBCKAu1kFb850Ql8swNdUyTkTuB3oAo7H+YgUDrwOrVPVr50XmWLZm0I5AX+BRoKKqlsmHChF5ozDpVLVM96vbplNVVtW0bOe8gBhV9XVeZI4hInOA71V1frZzA4EhqnqX8yIr20yhWsaJSCTQUFWTsp3zAQ6oapDzInMMW+3kBqAL1tpJXeAPYI2qTnZiaEYJE5EVwBhV3ZDt3PXAaFXt6bzIHMO2glqgqmZkO+cOnFVVf+dFVraZ5t+yzw0IAfZmOxeMazT9grUvLRz4CHhAVfc5N5ySJyLdCpNOVVeXdCyOlqNP8TCwVESWAMewNo32wTrVxhUcAkZh/befaSTWn4tRQkxNtYwTkeexLk/2FRf/sNwHfKCq7zoxNIcQkVeBTkBL4B8u9qn+lb1ZsCwRkcLMw1RVLdSAtquJiHxViGSqqg+UeDBOJiJtsM5P9cA6hao21mUKB6rqNmfGVpaZQtUFiEgvYAjWaQVRwDxVXe7cqBzL1uzVFhiA9endXVVdYQEEl2Rb4KIr1iX5UpwcjtOIiCdwHdYFIKKAjWX1YbK0MIWqUaaJSCDW/tQuwE1YF1XfirVP9WVnxmaULBGJd4UBSUbpYvpUyyAReUVVx9ve5ztvzUXmqkUCf2FdA/gZ4I/sg7bKIhHZq6pNbe+PkXt6jWBtAi3ri6qvFZGOqrrJ2YE4g4j4YR313wWowsVpdbjA/3unMYVq2ZR9VG+dfFO5hgAXbP57ONv7e5wWhfNFAMtEZCHW8QRZDxcu8kA5BevfgrHALKz/Fp7HzFMtUab51yjzROQmYDjWgRrHse4lWuZGvubFNi/zPqA1ORbRL+uLP1xu0JKq3u/IWJxBRE4DTVU1Jts2eLWBn1W1rbPjK6tMTbWME5FmWCe7n7LN2Xwe684l/6eqiZf/9NVPRB4CJgCfA39inac6W0ReU9XpTg3OMWYArbBuKnDKybE4lCsUnAVwA+Js7y+ISCWsg5VCnRdS2WdqqmWciGwH7hGLtiMAAA7FSURBVFTV/SIyFetAnWSsC+sPd250JU9EDmBdQWZHtnMtgfmq2tB5kTmGiMQC9VT1nLNjcbTLrYHtIuterwImqOoqEfkO6w49F4B2qhrm3OjKLlOolnHZmn0E636izYEk4KiqVnNudCVPRGKw7siSfam6clh3LKnsvMgcQ0R2AD1V1aVqqQAiYuHiGtiZFKCsLlGZne2hQlT1sG2HqrexdgGMUdU9zo2u7DLNv2Vfioj4Yt1D85iqnhERD6yLbbuC9cD7IvKCqiaKSAXgLaxLFZZJOVZU+gZYKCIfkqP5t6z3K6uqW/ZjEakBvAGsc05EjpW9Nm7bPOJBJ4bjMkxNtYwTkUnAjYAv8ImqfiIiHYDpqtrKudGVPBGpiXVz7uuBs1i3//oDGFZW99Z05RWVCmJrpTigqsHOjsURbBtqZB+kN1NVC7PqlHGFTKHqAkSkJ5Cmqr/ZjsMAv7JeU8lORIK4uFF1pLPjMZzD1p++SlWrOjuWkiYirwD3AhO5uEPV01hHv493ZmxlmSlUDUTkvKr6OTuOkiAif6tqmzzObzGDNco2EVnHpQtf+GAdUzBWVd9yTlSOY2ux6Jp9Q3YRCca6l7BL1NSdwfSpGnDpQI6yJtf0AdugLZdr+nRB/9/evQfbWZV3HP/+CCQQpCEQhBBzEDA6g6LotGmxHRBvUDreUCoRxEttpwVEnA7UUooWhylhHHFAUSuRAgbwgrGKAt5AIRKJLQaqQzEpDSEQhCQmJCBJ4Okfax3zZpMLM+73XZz1/j4zZ3b22pd59uQkz37X5XkuG7i/HlgUEb8qEUwBuwOPDIytBHYrEEtvOKkaPLOM3Zgn6cr8x/GNP496IfCLbiOyrkXEFaVjKOxGYK6kjwD3k6Z/zwduKhpV5Xba8VPMxqQlbO4buaTxsxiYC7ylUFzWEUnjJZ0n6VeS1ufbj0vqy87304DHgEWk86k/J12tf7BkULXzmqrVvqZ6dET4m3kPSZpDKnZyPps36vwjsLj2fqq51eFHSdXENpAK6j8aEU8XDawHnFSt+hZZkl5CKtU3WPv2i2Uisi7kwh8HN6tJ5VaAiyNir3KRdSN//n2cSLvlNdXKSXoz8J2I2LSdp/15V/F0TdLZwLmkKbBmreMAnFTrtoK047dZonE3Uv3bPrgC+FtStxrriK9UK5fL1O0PfJl08PunhUPqVO7U8fqIuKt0LNa+gWpSM4F3AZeQ+upOB04Fro6I2QXC65Sk24A/JhV9GGx9d0SpuGrnpNoDkl5B6qU4i7RR4SrSAfD/KxlXFyQtBWZExIbSsVj7XE1qM0nv2dZj3hndHifVHsnnM19HqrDyMmA+8HngmlrXXSSdDPwp8DGeWfu2ys9s9mxJujQiTikdR02cVHtC0sGkq9WTSC2griSdXTsFeCgijisYXmtypxLY8iyuSFcr1XcqMduemnf+l+KNSpWTdBopkb4I+Arw7ohY0Hj8OuDXhcLrwoGlA7AyJG2xjtgUESMdh/NcVXM1tSKcVOt3DGm69z+2tq6Y26FVeZWa/SYi1pQOwoo4aeD+VOBDpK5Flniqcsg8/VuxfAD8B8DREfFk6XhKkPQEcA/wo/zz44hYWTYqKyX3VL0xIg4rHctzgad/h89lCisWEU+Rpj/7PMUzGfh70lnF04Glku6W9OmyYVkhT+IlgaY+/9/QCl+pVk7S+4EjSCXLHmDLs2q92f0qaSKpWfvRwAeAJyJiv7JRWZsknTcwNBE4FrgrIk4oENJzjqTPRsTflY6jJk6qlev77ldJFwBHAtOAnwA/Bm6JiF8WDcxaJ+nygaHRovJfqnU5JH+J3iGX6GyPk2rlclPirWo2L66VpHWkcnVzgFuAhTso2WiVkHQUsDQi/lfSVGA2sAk4OyJWlI2uHZJubt4lndFeQaqoNB3YF5gfEUcVCK8XvKZav+MjYungD/D20oF1ZE/g3aSzueeQ1lS/J+mcsmFZBy4lJVFIO+B3Js3Y/FuxiFoWEUeN/gB3A2dGxPSIeHVETAfOzOPWEl+pVm5bu/skrepDp45RkiYDrwFeC5wM7BoRE4oGZa0a/d2XtDPpLPYIqQ3agxExpWx07ZO0GpiSNyyOjo0jtYCbXC6yuvmcaqUahcXH5Wmw5i6/g0jNi6sn6WLSmuoM4GekNdV3kNZXrW5rJe1LKsn5i4hYJ2k8sEvhuLqyAngzMK8x9ibqLvZSnJNqvebk213ZssVZkP6xfbDziMpYBZwB3B4Rvy0djHXqEmAhMJ70OwBpjfGeYhF163Tga5LOJK2pjgCHAMcXjapynv6tnKQrI+Lk0nGUJmmEtAN4eUTcXzoe64akFwNPRcSSxv0JEdGLdUVJU0j9kvcn9ZH9touftMtJtUckbbExrQ/nVHMFnS8DhwMrgb2BBcAJEfFgydjMuiBpOjCtWfPb2uPdv5WT9CpJt0taD2zMP5vybR98DlgETI6IqaQKS3fmcbNqSRqRNJ803f39PPYOSZeVjaxuvlKtnKS7gW+RGpM/3nysJ+dUHwWmRsTGxtgE0jRw9TtArb8k3QDcClwArIyIyZImkSpKbfP8uv1+vFGpfgcA/xT9/fa0mrQ5Y1Fj7CWkWsBmNZsJ/EVEPC0pACJiTU6s1hIn1frNA94I3FQ6kEIuBL4vaQ6wFHgh8F7gnwvGZNaFh0l9lO8dHZB0COCNei1yUq3frsA8SbeRjtL8Th92BUfEFyQtBk4EXg4sB2ZFxA/LRmbWuk8A10v6V2BnSbOAs0nTwdYSr6lWTtJHt/VYRPxLl7F0ZSvdSX73EFt26Tm3m4jMypD0VuBvSMtA9wOfj4hvlI2qbk6qVp2B7iS7kuocLyRN/46Q1pqui4hZBcIz64Skcc0ShdYNJ9XKNcoVPkMfpkAlXQt8NSKua4wdR2o04KRq1ZL0CPBVYG5EzC8dT184qVZO0n0DQ/uQyrY9EBEHFQipU5LWAHttpaj4qojwLkirlqRXArOAE0hdmq4Bru5LNalSvFGpchFxYPN+Tijn0JOC+sBi4FTg4sbYKcCSMuGYdSMi7iQVOjlL0pGkBPsDSSsi4uVlo6uXr1R7KLfCeiAi9isdS9vyt/V5pC+Qy0n1fzcBx0XEf5WMzawruVznO0ltD2dsrR2kDYevVPvpDaTpoOpFxJ2SZgB/wuai4rc3KyyZ1UjSnqRNeu8i/f5/F5gNfLNkXLVzUq2cpGU0jpEAE0k7Yk8pE1H3cgK9tXQcZh17kNQ3+GrSzMyawvH0gqd/K5fXUprWA/dGxNoS8ZhZNyRNjYiHSsfRN06qPZHbvu0LPNyHlm9mBpLGk2pdTyEVPwH6cZyuFE//Vk7SHsBnSJsUdgE25rObp3s6yKxekv6MdE51AvAHwFpgD2AZUP1xulLcT7V+lwC7A4cCu+XbiWx5xMTM6nMRcGFE7AU8lm8/DlxaNqy6efq3cpJWAAdFxOONsecBSyJi33KRmVmbcuGTybn12+rcT3U8cF9ETCsdX618pVq/35KqKDVNAZ4sEIuZdWcNadoX4KHc9m0y8LxyIdXPa6r1uwz4nqRPkgrKHwB8GPhC0ajMrG1fB44lHamZA9wMbCSts1pLPP1bOUkiNeU+kVT84EHgmoiYUzIuM+tW3ri0B3CTTwC0x0m1cpIuBq6NiJ80xl4N/GVEnFEuMjPrgqRp5C/UEbG8dDy1c1KtXG7/NC0iNjTGJgDLIuL55SIzszZJGgHmAocDq4C9gAXAiRGxtGRsNfNGpfoFMG5gbBz+uzer3RXAfwKT8hfoPYGFedxa4ivVykm6DrgPOCtvrd8JuIDUqeJtZaMzs7ZIWgvs3WwekY/UrIyIPcpFVjfv/q3fh4DrSVvqlwIjpE4tbyoalZm1bQEwE5jfGPtD4PYy4fSDr1R7IF+dzgSmk0qU3eHdf2Z1k/RZUtu3b5P+3U9n8xGbR0efFxHnFgmwUk6qZmYVknT5s3haRMT7Ww+mR5xUzczMhsRrqmZmlZI0idT6bYvShG791h4nVTOzCkl6L6nt4zrg8cZDgVu/tcbTv2ZmFZK0HPhARNxQOpY+cVI1M6uQpIeB/SPiqdKx9Imr6piZ1Wk2cE4+Umcd8ZWqmVmFJC0D9gM2ACubj0XESJGgesAblczM6nRS6QD6yFeqZmZmQ+IrVTOzCkk6b1uPuTRhe5xUzczqNH3g/n7AkcC8ArH0hpOqmVmFIuJ9g2OSjgFmFQinN7ymambWE/l4zeqImFQ6llr5StXMrEKSBksRTiS1gltWIJzecFI1M6vTYlKdX+X7jwN3Au8pFlEPePrXzMxsSFy+yszMbEicVM3MzIbESdXMzGxInFTNzMyGxEnVrHKSxpeOwawvnFTNxhhJb5B0i6RVktZI+pGkmY3HQ9Lpkq6WtAaY23jdfElPSFou6XJJezde9ypJN0j6taR1khbmCjxm9iz5SI3ZGCPpbaQz5ouAXYAPA8cBMyJipaQAVgEfA74DjANeAFwP/ANwI7AncGF+7MiICEmvAQ4AFgKbgJOBs4CXRcS9XX0+s7HMSdVsjMul51YCp0XE3JxUvxgRf9V4zi3Agoj4SGNsBFgKvDIifr6N914EfCUizm/zM5jVwtO/ZmOMpAMlXSVpsaS1wFpgEukqc9QdAy/7I+CMPK27TtI64Jf5sRn5ffeRdKmkeyT9Jj/npQPva2bb4TKFZmPP9cCjwKmkOq4bgNuA5oak9QOv2QmYDVy1lfdbkW//HRghTfneBzwBXDvwvma2HU6qZmNI3lh0CHBsRNyUx14APH8HL/0Z8NKIWLyd5xwBnBUR38zvuztwEPDfv3fgZj3h6V+zsWU18Ajw15JeLOlw4BrSVeX2nAu8RdJFkg6TdLCkYyTNkbRbfs7/ACdKOlTSYfl9x7X1Qcxq5KRqNoZExNPA8cDBwF2kKdtPAQ/t4HU3A68FDgVuza+9CHgM2Jif9j7S/wl3AN8g7RJeOOzPYFYz7/41MzMbEl+pmpmZDYmTqpmZ2ZA4qZqZmQ2Jk6qZmdmQOKmamZkNiZOqmZnZkDipmpmZDYmTqpmZ2ZD8P89eJQXvRVtHAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 504x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from phik import report\n",
    "rep = report.correlation_report(data, significance_threshold=3, correlation_threshold=0.5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Recap"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To summarize, the main functions in the phik correlation package working on a dataframe are:\n",
    "\n",
    "- `df[twocols].hist2d()` or `series.hist2d(other_series)`\n",
    "- `df.phik_matrix()`\n",
    "- `df.global_phik()`\n",
    "- `df.significance_matrix()`\n",
    "- `df[twocols].outlier_significance_matrix()` or `series.hist2d(other_series)`\n",
    "- `df.outlier_significance_matrices()`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "interval columns not set, guessing: ['driver_age', 'mileage']\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>mileage</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>10</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>driver_age</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>54.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>61.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>51.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>75.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>65.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>66.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>49.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>53.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>41.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>39.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>21.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "mileage       1     2     3     4     5     6     7     8     9     10\n",
       "driver_age                                                            \n",
       "1           54.0  30.0  13.0  29.0  57.0  61.0  36.0  11.0  36.0  61.0\n",
       "2           51.0  41.0  13.0  17.0  64.0  41.0  35.0  12.0  30.0  75.0\n",
       "3           65.0  29.0  21.0  24.0  53.0  54.0  35.0  14.0  27.0  66.0\n",
       "4           49.0  23.0  17.0  30.0  50.0  54.0  21.0  17.0  25.0  53.0\n",
       "5           41.0  28.0  19.0  15.0  33.0  45.0  27.0  11.0  23.0  39.0\n",
       "6           21.0  12.0   5.0  12.0  26.0  25.0  10.0   8.0  10.0  15.0\n",
       "7            7.0   8.0   2.0   3.0   8.0   9.0   4.0   2.0   3.0  10.0\n",
       "8            5.0   2.0   0.0   1.0   6.0   1.0   1.0   1.0   1.0   3.0\n",
       "9            0.0   0.0   0.0   0.0   1.0   0.0   0.0   0.0   0.0   1.0\n",
       "10           0.0   0.0   0.0   1.0   1.0   0.0   0.0   0.0   0.0   0.0"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[['driver_age', 'mileage']].hist2d()\n",
    "# Alternatively: data['driver_age'].hist2d(data['mileage'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "interval columns not set, guessing: ['driver_age', 'mileage']\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "    }\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>car_color</th>\n",
       "      <th>driver_age</th>\n",
       "      <th>area</th>\n",
       "      <th>mileage</th>\n",
       "      <th>car_size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>car_color</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.389671</td>\n",
       "      <td>0.590456</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>driver_age</th>\n",
       "      <td>0.389671</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.105506</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>area</th>\n",
       "      <td>0.590456</td>\n",
       "      <td>0.105506</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mileage</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.768589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>car_size</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.768589</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            car_color  driver_age      area   mileage  car_size\n",
       "car_color    1.000000    0.389671  0.590456  0.000000  0.000000\n",
       "driver_age   0.389671    1.000000  0.105506  0.000000  0.000000\n",
       "area         0.590456    0.105506  1.000000  0.000000  0.000000\n",
       "mileage      0.000000    0.000000  0.000000  1.000000  0.768589\n",
       "car_size     0.000000    0.000000  0.000000  0.768589  1.000000"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.phik_matrix()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "interval columns not set, guessing: ['driver_age', 'mileage']\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(array([[0.67603168],\n",
       "        [0.41913015],\n",
       "        [0.60575269],\n",
       "        [0.76858883],\n",
       "        [0.76858883]]),\n",
       " array(['car_color', 'driver_age', 'area', 'mileage', 'car_size'],\n",
       "       dtype=object))"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.global_phik()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "interval columns not set, guessing: ['driver_age', 'mileage']\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>car_color</th>\n",
       "      <th>driver_age</th>\n",
       "      <th>area</th>\n",
       "      <th>mileage</th>\n",
       "      <th>car_size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>car_color</th>\n",
       "      <td>85.468302</td>\n",
       "      <td>19.787607</td>\n",
       "      <td>37.609394</td>\n",
       "      <td>-0.634132</td>\n",
       "      <td>-0.586560</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>driver_age</th>\n",
       "      <td>19.787607</td>\n",
       "      <td>84.314315</td>\n",
       "      <td>1.857272</td>\n",
       "      <td>-0.586955</td>\n",
       "      <td>-0.532817</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>area</th>\n",
       "      <td>37.609394</td>\n",
       "      <td>1.857272</td>\n",
       "      <td>72.400210</td>\n",
       "      <td>-0.593527</td>\n",
       "      <td>-0.334542</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mileage</th>\n",
       "      <td>-0.634132</td>\n",
       "      <td>-0.586955</td>\n",
       "      <td>-0.593527</td>\n",
       "      <td>91.221584</td>\n",
       "      <td>49.249503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>car_size</th>\n",
       "      <td>-0.586560</td>\n",
       "      <td>-0.532817</td>\n",
       "      <td>-0.334542</td>\n",
       "      <td>49.249503</td>\n",
       "      <td>69.047125</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            car_color  driver_age       area    mileage   car_size\n",
       "car_color   85.468302   19.787607  37.609394  -0.634132  -0.586560\n",
       "driver_age  19.787607   84.314315   1.857272  -0.586955  -0.532817\n",
       "area        37.609394    1.857272  72.400210  -0.593527  -0.334542\n",
       "mileage     -0.634132   -0.586955  -0.593527  91.221584  49.249503\n",
       "car_size    -0.586560   -0.532817  -0.334542  49.249503  69.047125"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.significance_matrix()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "interval columns not set, guessing: ['mileage']\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>53.5_30047.0</th>\n",
       "      <th>30047.0_60040.5</th>\n",
       "      <th>60040.5_90033.9</th>\n",
       "      <th>90033.9_120027.4</th>\n",
       "      <th>120027.4_150020.9</th>\n",
       "      <th>150020.9_180014.4</th>\n",
       "      <th>180014.4_210007.8</th>\n",
       "      <th>210007.8_240001.3</th>\n",
       "      <th>240001.3_269994.8</th>\n",
       "      <th>269994.8_299988.2</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>area</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>country_side</th>\n",
       "      <td>-0.178204</td>\n",
       "      <td>0.192584</td>\n",
       "      <td>0.099073</td>\n",
       "      <td>-1.818924</td>\n",
       "      <td>0.103907</td>\n",
       "      <td>0.888225</td>\n",
       "      <td>0.251480</td>\n",
       "      <td>1.491532</td>\n",
       "      <td>0.016080</td>\n",
       "      <td>-0.869129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>downtown</th>\n",
       "      <td>0.625586</td>\n",
       "      <td>-2.141106</td>\n",
       "      <td>0.541785</td>\n",
       "      <td>0.931452</td>\n",
       "      <td>-0.926177</td>\n",
       "      <td>0.582585</td>\n",
       "      <td>0.917301</td>\n",
       "      <td>-0.729204</td>\n",
       "      <td>-0.978248</td>\n",
       "      <td>0.610302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hills</th>\n",
       "      <td>-0.826807</td>\n",
       "      <td>1.346029</td>\n",
       "      <td>-0.841090</td>\n",
       "      <td>0.008498</td>\n",
       "      <td>0.071356</td>\n",
       "      <td>1.028940</td>\n",
       "      <td>0.107051</td>\n",
       "      <td>0.080217</td>\n",
       "      <td>-0.397630</td>\n",
       "      <td>-0.904236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>suburbs</th>\n",
       "      <td>0.972621</td>\n",
       "      <td>0.098196</td>\n",
       "      <td>0.712079</td>\n",
       "      <td>-0.059975</td>\n",
       "      <td>0.975536</td>\n",
       "      <td>-1.759184</td>\n",
       "      <td>-0.716170</td>\n",
       "      <td>-0.603623</td>\n",
       "      <td>0.059615</td>\n",
       "      <td>-0.050745</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unpaved_roads</th>\n",
       "      <td>-1.469438</td>\n",
       "      <td>0.518041</td>\n",
       "      <td>-0.915745</td>\n",
       "      <td>-0.475005</td>\n",
       "      <td>-0.679357</td>\n",
       "      <td>-0.545607</td>\n",
       "      <td>-0.808321</td>\n",
       "      <td>0.901333</td>\n",
       "      <td>2.175620</td>\n",
       "      <td>1.339934</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               53.5_30047.0  30047.0_60040.5  60040.5_90033.9  \\\n",
       "area                                                            \n",
       "country_side      -0.178204         0.192584         0.099073   \n",
       "downtown           0.625586        -2.141106         0.541785   \n",
       "hills             -0.826807         1.346029        -0.841090   \n",
       "suburbs            0.972621         0.098196         0.712079   \n",
       "unpaved_roads     -1.469438         0.518041        -0.915745   \n",
       "\n",
       "               90033.9_120027.4  120027.4_150020.9  150020.9_180014.4  \\\n",
       "area                                                                    \n",
       "country_side          -1.818924           0.103907           0.888225   \n",
       "downtown               0.931452          -0.926177           0.582585   \n",
       "hills                  0.008498           0.071356           1.028940   \n",
       "suburbs               -0.059975           0.975536          -1.759184   \n",
       "unpaved_roads         -0.475005          -0.679357          -0.545607   \n",
       "\n",
       "               180014.4_210007.8  210007.8_240001.3  240001.3_269994.8  \\\n",
       "area                                                                     \n",
       "country_side            0.251480           1.491532           0.016080   \n",
       "downtown                0.917301          -0.729204          -0.978248   \n",
       "hills                   0.107051           0.080217          -0.397630   \n",
       "suburbs                -0.716170          -0.603623           0.059615   \n",
       "unpaved_roads          -0.808321           0.901333           2.175620   \n",
       "\n",
       "               269994.8_299988.2  \n",
       "area                              \n",
       "country_side           -0.869129  \n",
       "downtown                0.610302  \n",
       "hills                  -0.904236  \n",
       "suburbs                -0.050745  \n",
       "unpaved_roads           1.339934  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[['area', 'mileage']].outlier_significance_matrix()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "interval columns not set, guessing: ['driver_age', 'mileage']\n"
     ]
    }
   ],
   "source": [
    "os_matrices = data.outlier_significance_matrices()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['car_color:driver_age', 'car_color:area', 'car_color:mileage', 'car_color:car_size', 'driver_age:area', 'driver_age:mileage', 'driver_age:car_size', 'area:mileage', 'area:car_size', 'mileage:car_size'])"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os_matrices.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>53.5_30047.0</th>\n",
       "      <th>30047.0_60040.5</th>\n",
       "      <th>60040.5_90033.9</th>\n",
       "      <th>90033.9_120027.4</th>\n",
       "      <th>120027.4_150020.9</th>\n",
       "      <th>150020.9_180014.4</th>\n",
       "      <th>180014.4_210007.8</th>\n",
       "      <th>210007.8_240001.3</th>\n",
       "      <th>240001.3_269994.8</th>\n",
       "      <th>269994.8_299988.2</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>car_color</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>black</th>\n",
       "      <td>0.366425</td>\n",
       "      <td>1.387093</td>\n",
       "      <td>-1.320194</td>\n",
       "      <td>-1.274558</td>\n",
       "      <td>1.908010</td>\n",
       "      <td>-0.880578</td>\n",
       "      <td>-1.260293</td>\n",
       "      <td>-0.498607</td>\n",
       "      <td>-0.449794</td>\n",
       "      <td>0.492858</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>blue</th>\n",
       "      <td>-0.409760</td>\n",
       "      <td>-1.676495</td>\n",
       "      <td>-0.515491</td>\n",
       "      <td>1.969650</td>\n",
       "      <td>0.474818</td>\n",
       "      <td>-1.260466</td>\n",
       "      <td>-0.505987</td>\n",
       "      <td>-0.575699</td>\n",
       "      <td>1.675451</td>\n",
       "      <td>0.601026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gray</th>\n",
       "      <td>0.267888</td>\n",
       "      <td>-0.338430</td>\n",
       "      <td>-1.148378</td>\n",
       "      <td>0.048682</td>\n",
       "      <td>-0.238285</td>\n",
       "      <td>1.522769</td>\n",
       "      <td>1.282298</td>\n",
       "      <td>-0.812279</td>\n",
       "      <td>-0.589854</td>\n",
       "      <td>-0.887127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>green</th>\n",
       "      <td>-0.195906</td>\n",
       "      <td>0.399471</td>\n",
       "      <td>1.306739</td>\n",
       "      <td>-0.918723</td>\n",
       "      <td>0.373229</td>\n",
       "      <td>-0.859866</td>\n",
       "      <td>-0.862544</td>\n",
       "      <td>0.772096</td>\n",
       "      <td>-0.169912</td>\n",
       "      <td>0.471057</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>metalic</th>\n",
       "      <td>0.697184</td>\n",
       "      <td>-0.385806</td>\n",
       "      <td>0.672620</td>\n",
       "      <td>0.205599</td>\n",
       "      <td>-1.543500</td>\n",
       "      <td>1.168147</td>\n",
       "      <td>0.249471</td>\n",
       "      <td>0.513459</td>\n",
       "      <td>-0.174870</td>\n",
       "      <td>-0.952009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>multicolor</th>\n",
       "      <td>-0.478862</td>\n",
       "      <td>-0.591987</td>\n",
       "      <td>0.893783</td>\n",
       "      <td>0.050843</td>\n",
       "      <td>-2.104857</td>\n",
       "      <td>0.994621</td>\n",
       "      <td>0.109020</td>\n",
       "      <td>0.578461</td>\n",
       "      <td>-0.506460</td>\n",
       "      <td>1.287415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>red</th>\n",
       "      <td>-0.551106</td>\n",
       "      <td>0.548949</td>\n",
       "      <td>1.370043</td>\n",
       "      <td>-0.050064</td>\n",
       "      <td>-1.822748</td>\n",
       "      <td>0.055521</td>\n",
       "      <td>2.208175</td>\n",
       "      <td>0.921955</td>\n",
       "      <td>0.219336</td>\n",
       "      <td>-1.556492</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>white</th>\n",
       "      <td>-0.055025</td>\n",
       "      <td>1.219026</td>\n",
       "      <td>-0.596627</td>\n",
       "      <td>-0.427730</td>\n",
       "      <td>1.888206</td>\n",
       "      <td>-0.471175</td>\n",
       "      <td>-0.851352</td>\n",
       "      <td>-0.393054</td>\n",
       "      <td>-0.697834</td>\n",
       "      <td>-0.323899</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            53.5_30047.0  30047.0_60040.5  60040.5_90033.9  90033.9_120027.4  \\\n",
       "car_color                                                                      \n",
       "black           0.366425         1.387093        -1.320194         -1.274558   \n",
       "blue           -0.409760        -1.676495        -0.515491          1.969650   \n",
       "gray            0.267888        -0.338430        -1.148378          0.048682   \n",
       "green          -0.195906         0.399471         1.306739         -0.918723   \n",
       "metalic         0.697184        -0.385806         0.672620          0.205599   \n",
       "multicolor     -0.478862        -0.591987         0.893783          0.050843   \n",
       "red            -0.551106         0.548949         1.370043         -0.050064   \n",
       "white          -0.055025         1.219026        -0.596627         -0.427730   \n",
       "\n",
       "            120027.4_150020.9  150020.9_180014.4  180014.4_210007.8  \\\n",
       "car_color                                                             \n",
       "black                1.908010          -0.880578          -1.260293   \n",
       "blue                 0.474818          -1.260466          -0.505987   \n",
       "gray                -0.238285           1.522769           1.282298   \n",
       "green                0.373229          -0.859866          -0.862544   \n",
       "metalic             -1.543500           1.168147           0.249471   \n",
       "multicolor          -2.104857           0.994621           0.109020   \n",
       "red                 -1.822748           0.055521           2.208175   \n",
       "white                1.888206          -0.471175          -0.851352   \n",
       "\n",
       "            210007.8_240001.3  240001.3_269994.8  269994.8_299988.2  \n",
       "car_color                                                            \n",
       "black               -0.498607          -0.449794           0.492858  \n",
       "blue                -0.575699           1.675451           0.601026  \n",
       "gray                -0.812279          -0.589854          -0.887127  \n",
       "green                0.772096          -0.169912           0.471057  \n",
       "metalic              0.513459          -0.174870          -0.952009  \n",
       "multicolor           0.578461          -0.506460           1.287415  \n",
       "red                  0.921955           0.219336          -1.556492  \n",
       "white               -0.393054          -0.697834          -0.323899  "
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os_matrices['car_color:mileage']"
   ]
  }
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