notebooks/4.1 Visualize.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 3.3 Visualizing data\n",
    "\n",
    "## Motivation\n",
    "\n",
    "`pandas`' API provides integration with the plotting functionalities provided by the `matplotlib` library.\n",
    "\n",
    "This seamless integration – which is very nice! – hides away from users some of the complexities of `matplotlib`.\n",
    "\n",
    "However, as there cases where advanced customizations are needed, it's useful to learn the high-level plotting functionalities of `pandas` or `seaborn` as well as being aware of how to perform more advanced customizations by means of `matplotlib`."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Digging into `matplotlib`\n",
    "\n",
    "Very useful [`matplotlib` cheatsheet](https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Python_Matplotlib_Cheat_Sheet.pdf)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Anatomy of a plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "# first we create the figure, which is the \n",
    "# container where all plots reside\n",
    "fig = plt.figure(figsize=(10, 10))\n",
    "\n",
    "ax1 = fig.add_subplot(2, 2, 1)\n",
    "plt.plot(np.random.randn(50), 'k--')\n",
    "\n",
    "ax2 = fig.add_subplot(2, 2, 2)\n",
    "ax3 = fig.add_subplot(2, 2, 3)\n",
    "ax4 = fig.add_subplot(2, 2, 4)\n",
    "#plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Each plot resides within a `Figure` object."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "matplotlib.figure.Figure"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(fig)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Each subsplot resides within an `AxesSubplot` object."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "matplotlib.axes._subplots.AxesSubplot"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(ax1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# plt.subplots?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "axes[0,0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(nrows=2, ncols=2)\n",
    "axes[0,0].plot(np.random.randn(50), 'y-')\n",
    "axes[0,1].plot(np.random.randn(50), 'r--')\n",
    "axes[0,1].plot(np.random.randn(50), 'b--')\n",
    "axes[1,1].plot(np.random.randn(50), 'k--')\n",
    "axes[1,0].plot(np.random.randn(50), '.')\n",
    "\n",
    "fig.set_size_inches(8, 8)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Let's plot\n",
    "\n",
    "- number of contracts by corporation\n",
    "- distribution of length of contract, colored by corporation\n",
    "- plot of annual salary against length of contract, colored by genre\n",
    "- plot of annual salary against age at entry, colored by genre/gilda\n",
    "- annual salary by corporation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import codecs\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_folder = \"../data/apprenticeship_venice/\"\n",
    "df_contracts = pd.read_csv(\n",
    "    codecs.open(os.path.join(data_folder,\"professions_data.csv\"),\n",
    "                encoding=\"utf8\"),\n",
    "    sep=\";\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {
    "scrolled": true
   },
   "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>page_title</th>\n",
       "      <th>register</th>\n",
       "      <th>annual_salary</th>\n",
       "      <th>a_profession</th>\n",
       "      <th>profession_code_strict</th>\n",
       "      <th>profession_code_gen</th>\n",
       "      <th>profession_cat</th>\n",
       "      <th>corporation</th>\n",
       "      <th>keep_profession_a</th>\n",
       "      <th>complete_profession_a</th>\n",
       "      <th>...</th>\n",
       "      <th>personal_care_master</th>\n",
       "      <th>clothes_master</th>\n",
       "      <th>generic_expenses_master</th>\n",
       "      <th>salary_in_kind_master</th>\n",
       "      <th>pledge_goods_master</th>\n",
       "      <th>pledge_money_master</th>\n",
       "      <th>salary_master</th>\n",
       "      <th>female_guarantor</th>\n",
       "      <th>period_cat</th>\n",
       "      <th>incremental_salary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Carlo Della sosta (Orese) 1592-08-03</td>\n",
       "      <td>asv, giustizia vecchia, accordi dei garzoni, 1...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>orese</td>\n",
       "      <td>orese</td>\n",
       "      <td>orefice</td>\n",
       "      <td>orefice</td>\n",
       "      <td>Oresi</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Antonio quondam Andrea (squerariol) 1583-01-09</td>\n",
       "      <td>asv, giustizia vecchia, accordi dei garzoni, 1...</td>\n",
       "      <td>12.5</td>\n",
       "      <td>squerariol</td>\n",
       "      <td>squerariol</td>\n",
       "      <td>lavori allo squero</td>\n",
       "      <td>lavori allo squero</td>\n",
       "      <td>Squerarioli</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 47 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       page_title  \\\n",
       "0            Carlo Della sosta (Orese) 1592-08-03   \n",
       "1  Antonio quondam Andrea (squerariol) 1583-01-09   \n",
       "\n",
       "                                            register  annual_salary  \\\n",
       "0  asv, giustizia vecchia, accordi dei garzoni, 1...            NaN   \n",
       "1  asv, giustizia vecchia, accordi dei garzoni, 1...           12.5   \n",
       "\n",
       "  a_profession profession_code_strict profession_code_gen      profession_cat  \\\n",
       "0        orese                  orese             orefice             orefice   \n",
       "1   squerariol             squerariol  lavori allo squero  lavori allo squero   \n",
       "\n",
       "   corporation  keep_profession_a  complete_profession_a  ...  \\\n",
       "0        Oresi                  1                      1  ...   \n",
       "1  Squerarioli                  1                      1  ...   \n",
       "\n",
       "   personal_care_master  clothes_master  generic_expenses_master  \\\n",
       "0                     1               1                        1   \n",
       "1                     0               0                        1   \n",
       "\n",
       "   salary_in_kind_master  pledge_goods_master  pledge_money_master  \\\n",
       "0                      0                    0                    0   \n",
       "1                      0                    0                    0   \n",
       "\n",
       "  salary_master female_guarantor period_cat incremental_salary  \n",
       "0             0                0        NaN                  0  \n",
       "1             1                0        1.0                  0  \n",
       "\n",
       "[2 rows x 47 columns]"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_contracts.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Oresi', 'Squerarioli', 'Battioro', 'Merzeri', 'Marangoni',\n",
       "       'Università dei Stampadori e Libreri', 'Specchieri', 'Tentori',\n",
       "       'Coroneri', 'Fabbri', 'Tiraoro', 'Da Colori', 'Cuoridoro',\n",
       "       'perleri', 'Tornidori', 'Pittori', 'Tagliapietra', 'Mureri',\n",
       "       'Libreri da carta bianca e da conti', 'Intagliatori',\n",
       "       'Merzeri . Stringheri . Teleroli', 'Merzeri . Stringheri', nan,\n",
       "       'Desegnadori', 'Carteri', 'Gioielleri', 'Latoneri',\n",
       "       'Musici e suonatori', 'Merzeri . Coroneri . Margariteri',\n",
       "       'Margariteri', 'Diamanteri', 'Tagliapietra . ', 'Sabioneri',\n",
       "       'Verieri', 'Cuoridoro . Merzeri', 'Indoratori', ' . ',\n",
       "       'Verieri da smalti', 'Varoteri', 'Merzeri . Teleroli',\n",
       "       'Teleroli . Merzeri . Bombasseri .  . Fustagneri',\n",
       "       'Merzeri . Teleroli .  . Fustagneri . Bombasseri', 'Specieri',\n",
       "       'Cereri', ' . Musici e suonatori', 'Oresi . Gioielleri',\n",
       "       'Strazzaroli . Merzeri', 'Merzeri . Carteri',\n",
       "       'Università dei Stampadori e Libreri . Miniadori',\n",
       "       'Capeleri . Merzeri', 'Università dei Stampadori e Libreri . ',\n",
       "       'Pittori . Indoratori', 'Merzeri . Merzeri',\n",
       "       'Merzeri . Bombasseri', 'Casseleri', 'Intagliatori . Marangoni',\n",
       "       'Miniadori', 'Teleroli . Merzeri . Stringheri',\n",
       "       'Merzeri . Margariteri', ' . Oresi', 'Cereri . Cereri',\n",
       "       'Teleroli . Merzeri', 'Stadierei . Latoneri', 'Merzeri . ',\n",
       "       'Tiraoro . Battioro', 'Terazzeri', 'Maschereri',\n",
       "       'Merzeri . Biavaroli', 'Tornidori . Intagliatori', 'Scultori',\n",
       "       'Battiargento', 'Margariteri . Margariteri',\n",
       "       'Arte della lana . Cereri', 'Marangoni . Mureri',\n",
       "       'Cereri . Specieri', 'Verieri da smalti . perleri',\n",
       "       'Merzeri . Stramazzeri', 'Battioro . Tiraoro',\n",
       "       'Barbieri / barbieri chirurghi', 'Capeleri', 'Petteneri',\n",
       "       'Botteri', 'Boccaleri e pignateri', 'Caldereri',\n",
       "       'Calegheri e zavatteri', 'pelterri', 'Cordeleri', 'Pirieri',\n",
       "       'Barcaioli', 'Muschieri',\n",
       "       'Università dei Stampadori e Libreri . Università dei Stampadori e Libreri',\n",
       "       'Spaderi', 'Miniadori . Desegnadori', 'Fenestreri', 'Sartori',\n",
       "       'Calcineri', 'Conzacurami',\n",
       "       'Stazioneri da vero . Boccaleri e pignateri . Cesteri',\n",
       "       'Casseleri . Marangoni', 'Stazioneri da vero',\n",
       "       'Capeleri . Sartori', 'Margariteri . ',\n",
       "       'Biavaroli . Malvasioti . Verieri',\n",
       "       'Casseleri . Intagliatori . Marangoni', 'Mandoleri . Da Colori',\n",
       "       'Occhialeri', 'Gua cortellini . Spaderi', 'Gua cortellini',\n",
       "       'Frutaroli . Verieri',\n",
       "       'Biavaroli . Verieri . Boccaleri e pignateri',\n",
       "       'Gioielleri . Oresi',\n",
       "       'Miniadori . Università dei Stampadori e Libreri',\n",
       "       'Sartori . Teleroli . Merzeri', 'Partioro',\n",
       "       'Teleroli . Stringheri . Merzeri', ' . Ligadori',\n",
       "       'Bombasseri . Merzeri',\n",
       "       'Merzeri . Università dei Stampadori e Libreri',\n",
       "       'Bombasseri . Stringheri', 'Merzeri . Teleroli . Stringheri',\n",
       "       'Oresi . ', 'Luganegheri . Frutaroli', 'Malvasioti', 'Stramazzeri',\n",
       "       'Burchieri', 'Centurieri', 'Pelteri', ' . Salumieri . ',\n",
       "       'Segadori', 'Arte della lana', 'Tesseri', 'Fustagneri',\n",
       "       'pescatori', 'Passamaner', 'Biavaroli . ', 'Luganegheri',\n",
       "       'Manganeri', 'Masteleri', 'Forneri',\n",
       "       'Barbieri / barbieri chirurghi . Barbieri / barbieri chirurghi',\n",
       "       'Strazzaroli', 'Casaroli', 'Conzacordami', 'Frutaroli', 'Linaroli',\n",
       "       'Filacanevi', 'Frutaroli . ', 'Bronzeri', 'Biavaroli', 'Erbaroli',\n",
       "       'Arte della seta', 'Curameri', 'Barcaroli', 'Mandoleri', 'Cesteri',\n",
       "       'Cordeleri . Passamaner', 'Barileri', 'Feraleri',\n",
       "       'Caldereri . Fabbri', 'Acquaroli', 'Bombasseri',\n",
       "       'Mandoleri . Frutaroli', ' . Salumieri', 'Pistori',\n",
       "       'Frutaroli . Mandoleri', 'Stramazzeri . Bombasseri', 'Remeri',\n",
       "       'Stringheri', 'Guanteri', 'Bareteri', 'Naranzeri', 'Acquavite',\n",
       "       'Luganegheri . Frutaroli .  . Salumieri', 'Burchieri . ',\n",
       "       'Biavaroli . Salumieri', 'pelterri . Latoneri', 'Teleroli',\n",
       "       'Cordeleri . Teleroli', 'Fornaseri', 'Sartori . Strazzaroli',\n",
       "       'Erbaroli . Frutaroli', 'Barcaioli . Burchieri',\n",
       "       'Frutaroli . Luganegheri . ', 'Casaroli . Salumieri . ',\n",
       "       'Mastelleri', 'Bolzeri', 'Frutaroli . Erbaroli . Fiorer',\n",
       "       'Specieri . Mandoleri', 'Sartori . Sartori', 'Scatoleri',\n",
       "       'Burchieri . Barcaioli', 'Stadierei', 'Cerchieri',\n",
       "       'Barbieri / barbieri chirurghi . Musici e suonatori',\n",
       "       'Casaroli .  . Saonero . Salumieri . ', 'Biavaroli . Frutaroli',\n",
       "       'Teleroli . Bombasseri .  . Fustagneri . Merzeri . Stramazzeri . Strazzaroli',\n",
       "       'Frutaroli . Coroneri', 'Calafati', 'Saoneri . Salumieri',\n",
       "       'Salumieri . Saoneri . ', ' . Merzeri . Specieri', 'Salumieri . ',\n",
       "       'Cordeleri . Bombasseri . Teleroli', 'Casaroli . Salumieri',\n",
       "       'Bombasseri . Stramazzeri', 'Mandoleri . Frutaroli . ',\n",
       "       'Teleroli . Stramazzeri', 'Verieri . Sabioneri',\n",
       "       'Bombasseri . Arte della lana', 'Salumieri', 'Casaroli . ',\n",
       "       'Filacanevi . Cordeleri', 'Saoneri . Acquavite',\n",
       "       ' . Salumieri . Biavaroli', 'Arte della seta . ',\n",
       "       'Stramazzeri . Bombasseri . Teleroli', 'Barileri . Masteleri',\n",
       "       'Acquavite . ', 'Travasadori da vin', ' .  . ',\n",
       "       'Stringheri . Calegheri e zavatteri', 'Passamaner . Cordeleri',\n",
       "       'Calegheri e zavatteri . Acquavite', 'Salumieri . Luganegheri . ',\n",
       "       'Frutaroli . Erbaroli', 'Saoneri . Salumieri . ',\n",
       "       'Biavaroli . Frutaroli . ', 'Intagliatori . Tornidori',\n",
       "       'Biavaroli . Salumieri . ', ' . Salumieri . Merzeri',\n",
       "       'Muschieri . Varoteri',\n",
       "       'Bombasseri . Teleroli . Merzeri . Fustagneri . Bolzeri',\n",
       "       'Desegnadori . ', 'Marangoni . Casseleri', 'Frutaroli . Naranzeri',\n",
       "       'Barbieri / barbieri chirurghi . Merzeri',\n",
       "       'Stramazzeri . Specieri', 'Specieri . Stramazzeri',\n",
       "       'Arte della lana . ', 'Mandoleri . ', 'Conzacurami . ', 'Latoner',\n",
       "       'Pistori . ', 'Linaroli . Naranzeri',\n",
       "       'Merzeri . Biavaroli . Salumieri', 'Mureri . Mureri',\n",
       "       'Merzeri . Strazzaroli . Stringheri',\n",
       "       'Bombasseri . Stringheri . Merzeri', 'Merzeri . Arte della lana',\n",
       "       ' . Biavaroli', 'Bottoneri . ', 'Mureri . Marangoni',\n",
       "       'Specieri . Merzeri', 'Stringheri . Merzeri',\n",
       "       'Stadierei . Merzeri', 'Tagliapietra . Intagliatori',\n",
       "       'Indoratori . Miniadori', 'Marangoni . Segadori',\n",
       "       'Scaleteri . perleri', 'Merzeri . Passamaner',\n",
       "       'Da Colori . Mandoleri', 'Casseleri . Specchieri',\n",
       "       'Merzeri . Tornidori', 'Mureri . Tagliapietra',\n",
       "       'Marangoni . Intagliatori', 'Merzeri . Bombasseri . Stringheri',\n",
       "       ' . Merzeri', 'Merzeri . Fenestreri', 'Miniadori . Specchieri',\n",
       "       'Frutaroli . Biavaroli . Verieri', 'Linaroli . Biavaroli',\n",
       "       ' .  . Salumieri', 'Linaroli . ',\n",
       "       'Bombasseri . Stramazzeri . Teleroli .  . Fustagneri',\n",
       "       'Frutaroli . Merzeri', ' . Luganegheri',\n",
       "       'Casaroli .  . Biavaroli . Salumieri', 'Specieri . ',\n",
       "       'Strazzaroli . Sartori', 'Merzeri . Arte della seta',\n",
       "       'Scultori . Pittori', 'Bossoleri', 'Petteneri . Merzeri',\n",
       "       'Bossoleri . Carteri', 'Biavaroli . Verieri', 'Ligadori',\n",
       "       'Sartori . Desegnadori', 'Corieri Veneti',\n",
       "       'Frutaroli . Mandoleri . ', 'Passamaner . ', 'Merzeri . Sartori',\n",
       "       'Merzeri . Stringheri . Linaroli', 'Frutaroli . pescatori',\n",
       "       ' . Biavaroli . Salumieri', ' . Bottoneri',\n",
       "       'Luganegheri .  . Salumieri', 'Acquavite . Gua cortellini',\n",
       "       'Fustagneri . Tesseri', 'pettenadori', ' . Linaroli',\n",
       "       'Bombasseri . Stramazzeri . Teleroli . ',\n",
       "       'Barbieri / barbieri chirurghi . Barbieri / barbieri chirurghi . Musici e suonatori',\n",
       "       'Bottoneri'], dtype=object)"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_contracts.corporation.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(9653, 47)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_contracts.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [],
   "source": [
    "filter_corporation = [\n",
    "    \"Oresi\",\n",
    "    \"Specieri\",\n",
    "    \"Marangoni\",\n",
    "    \"Università dei Stampadori e Libreri\"\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [],
   "source": [
    "contracts_zoom_df = df_contracts[df_contracts.corporation.isin(filter_corporation)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1945, 47)"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "contracts_zoom_df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plot: number of contracts by corporation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "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>page_title</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Carlo Della sosta (Orese) 1592-08-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Andrea Manfredo (marangon) 1664-02-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Marcho de Zuane (all'arte della stampa) 1621-1...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Andrea Zangiardo (librer) 1645-07-28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Carletto Barbarigo (orefice) 1621-08-31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9611</th>\n",
       "      <td>Zamaria de Gasparo (stampador) 1645-11-28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9612</th>\n",
       "      <td>Girardo de Zuan Piero (marangon) 1593-04-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9631</th>\n",
       "      <td>Gierolimo Marchi (speciale da confesion) 1622-...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9637</th>\n",
       "      <td>Piero Torella (librer) 1645-01-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9639</th>\n",
       "      <td>Alvise Padella (marangon) 1594-05-17</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1945 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             page_title\n",
       "0                  Carlo Della sosta (Orese) 1592-08-03\n",
       "5                 Andrea Manfredo (marangon) 1664-02-04\n",
       "6     Marcho de Zuane (all'arte della stampa) 1621-1...\n",
       "11                 Andrea Zangiardo (librer) 1645-07-28\n",
       "22              Carletto Barbarigo (orefice) 1621-08-31\n",
       "...                                                 ...\n",
       "9611          Zamaria de Gasparo (stampador) 1645-11-28\n",
       "9612        Girardo de Zuan Piero (marangon) 1593-04-07\n",
       "9631  Gierolimo Marchi (speciale da confesion) 1622-...\n",
       "9637                  Piero Torella (librer) 1645-01-02\n",
       "9639               Alvise Padella (marangon) 1594-05-17\n",
       "\n",
       "[1945 rows x 1 columns]"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "contracts_zoom_df[['page_title']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "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>female_guarantor</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>corporation</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Marangoni</th>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oresi</th>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Specieri</th>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Università dei Stampadori e Libreri</th>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                     female_guarantor\n",
       "corporation                                          \n",
       "Marangoni                                          20\n",
       "Oresi                                              42\n",
       "Specieri                                            4\n",
       "Università dei Stampadori e Libreri                13"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.pivot_table(\n",
    "    contracts_zoom_df,\n",
    "    index='corporation',\n",
    "    aggfunc={'female_guarantor': 'sum'}\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [],
   "source": [
    "corporation_size = pd.pivot_table(\n",
    "    contracts_zoom_df,\n",
    "    index='corporation',\n",
    "    aggfunc={'page_title': 'count'}\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\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>page_title</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>corporation</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Marangoni</th>\n",
       "      <td>748</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oresi</th>\n",
       "      <td>640</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Specieri</th>\n",
       "      <td>158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Università dei Stampadori e Libreri</th>\n",
       "      <td>399</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                     page_title\n",
       "corporation                                    \n",
       "Marangoni                                   748\n",
       "Oresi                                       640\n",
       "Specieri                                    158\n",
       "Università dei Stampadori e Libreri         399"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corporation_size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "# let's reshape the data\n",
    "# to make plotting easier\n",
    "\n",
    "corporation_size = pd.pivot_table(\n",
    "    contracts_zoom_df,\n",
    "    index='corporation',\n",
    "    aggfunc={'page_title': 'count'}\n",
    ").rename(columns={'page_title':'size'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "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>size</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>corporation</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Marangoni</th>\n",
       "      <td>748</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oresi</th>\n",
       "      <td>640</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Specieri</th>\n",
       "      <td>158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Università dei Stampadori e Libreri</th>\n",
       "      <td>399</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                     size\n",
       "corporation                              \n",
       "Marangoni                             748\n",
       "Oresi                                 640\n",
       "Specieri                              158\n",
       "Università dei Stampadori e Libreri   399"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corporation_size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# first try\n",
    "\n",
    "ax = corporation_size.plot.bar()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Legend"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# second try\n",
    "# remove the legend as it does not make much sense in this case\n",
    "\n",
    "ax = corporation_size.plot.bar(legend=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Label the axes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# third try\n",
    "# we rotate the tick labels on the x axis\n",
    "\n",
    "ax = corporation_size.plot.bar(\n",
    "    legend=False,\n",
    "    rot=10, # rotate tick labels on x axis\n",
    "    figsize=(6, 4),\n",
    "    fontsize=\"large\" # try changing to 9, 14, 26\n",
    ")\n",
    "\n",
    "# set a readable title for the plot\n",
    "ax.set_title('Number of contracts by corporation')\n",
    "\n",
    "# label the y axis\n",
    "ax.set_ylabel('Contracts')\n",
    "\n",
    "# remove the x axis as it clutters the plot\n",
    "xlabel = ax.set_xlabel('')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Save"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To save our plot, we need to get the `Figure` element that contains it:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "matplotlib.figure.Figure"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig = ax.get_figure()\n",
    "type(fig)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig.savefig('figures/plot1.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [],
   "source": [
    "# if you are publishing an article, they will\n",
    "# ask you images with min 300 dpi\n",
    "\n",
    "fig.savefig('figures/plot1_300dpi.png', dpi=300)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Exercise**: rename the \"Università dei Stampadori e Libreri\" to \"Stampadori e Libreri\" before plotting the data.\n",
    "\n",
    "(**Hint**: the renaming is easier if before pivoting the data you cast `corporation` to categorical data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plot: annual salary vs length of contract"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 1945 entries, 0 to 9639\n",
      "Data columns (total 47 columns):\n",
      " #   Column                    Non-Null Count  Dtype  \n",
      "---  ------                    --------------  -----  \n",
      " 0   page_title                1945 non-null   object \n",
      " 1   register                  1945 non-null   object \n",
      " 2   annual_salary             1633 non-null   float64\n",
      " 3   a_profession              1945 non-null   object \n",
      " 4   profession_code_strict    1945 non-null   object \n",
      " 5   profession_code_gen       1945 non-null   object \n",
      " 6   profession_cat            1945 non-null   object \n",
      " 7   corporation               1945 non-null   object \n",
      " 8   keep_profession_a         1945 non-null   int64  \n",
      " 9   complete_profession_a     1945 non-null   int64  \n",
      " 10  enrolmentY                1941 non-null   float64\n",
      " 11  enrolmentM                1942 non-null   float64\n",
      " 12  startY                    1924 non-null   float64\n",
      " 13  startM                    1927 non-null   float64\n",
      " 14  length                    1944 non-null   float64\n",
      " 15  has_fled                  1945 non-null   int64  \n",
      " 16  m_profession              1932 non-null   object \n",
      " 17  m_profession_code_strict  1932 non-null   object \n",
      " 18  m_profession_code_gen     1932 non-null   object \n",
      " 19  m_profession_cat          1932 non-null   object \n",
      " 20  m_corporation             1931 non-null   object \n",
      " 21  keep_profession_m         1945 non-null   int64  \n",
      " 22  complete_profession_m     1945 non-null   int64  \n",
      " 23  m_gender                  1912 non-null   float64\n",
      " 24  m_name                    1938 non-null   object \n",
      " 25  m_surname                 1490 non-null   object \n",
      " 26  m_patronimic              456 non-null    object \n",
      " 27  m_atelier                 146 non-null    object \n",
      " 28  m_coords                  1944 non-null   object \n",
      " 29  a_name                    1945 non-null   object \n",
      " 30  a_age                     1891 non-null   float64\n",
      " 31  a_gender                  1908 non-null   float64\n",
      " 32  a_geo_origins             1385 non-null   object \n",
      " 33  a_geo_origins_std         984 non-null    object \n",
      " 34  a_coords                  1938 non-null   object \n",
      " 35  a_quondam                 1620 non-null   float64\n",
      " 36  accommodation_master      1945 non-null   int64  \n",
      " 37  personal_care_master      1945 non-null   int64  \n",
      " 38  clothes_master            1945 non-null   int64  \n",
      " 39  generic_expenses_master   1945 non-null   int64  \n",
      " 40  salary_in_kind_master     1945 non-null   int64  \n",
      " 41  pledge_goods_master       1945 non-null   int64  \n",
      " 42  pledge_money_master       1945 non-null   int64  \n",
      " 43  salary_master             1945 non-null   int64  \n",
      " 44  female_guarantor          1945 non-null   int64  \n",
      " 45  period_cat                1629 non-null   float64\n",
      " 46  incremental_salary        1945 non-null   int64  \n",
      "dtypes: float64(11), int64(15), object(21)\n",
      "memory usage: 729.4+ KB\n"
     ]
    }
   ],
   "source": [
    "contracts_zoom_df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='annual_salary', ylabel='length'>"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "contracts_zoom_df.plot.scatter(x='annual_salary', y='length')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Meet `seaborn`\n",
    "\n",
    "`seaborn` is a library built on top of `matplotlib` which complements and extends its functionalities.\n",
    "\n",
    "- themes\n",
    "- color palettes\n",
    "- customizing `seaborn` plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.scatterplot(\n",
    "    x='annual_salary',\n",
    "    y='length',\n",
    "    data=contracts_zoom_df,\n",
    "    hue='corporation'\n",
    ")\n",
    "\n",
    "ax.set_xlabel('Annual salary (ducati)')\n",
    "ax.set_ylabel('Contract length (years)')\n",
    "\n",
    "fig = ax.get_figure()\n",
    "fig.set_size_inches(10,8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.scatterplot(\n",
    "    x='annual_salary',\n",
    "    y='length',\n",
    "    data=contracts_zoom_df,\n",
    "    hue='corporation'\n",
    ")\n",
    "\n",
    "ax.set_xlabel('Annual salary (ducati)')\n",
    "ax.set_ylabel('Contract length (years)')\n",
    "\n",
    "fig = ax.get_figure()\n",
    "fig.set_size_inches(10,8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 1945 entries, 0 to 9639\n",
      "Data columns (total 47 columns):\n",
      " #   Column                    Non-Null Count  Dtype  \n",
      "---  ------                    --------------  -----  \n",
      " 0   page_title                1945 non-null   object \n",
      " 1   register                  1945 non-null   object \n",
      " 2   annual_salary             1633 non-null   float64\n",
      " 3   a_profession              1945 non-null   object \n",
      " 4   profession_code_strict    1945 non-null   object \n",
      " 5   profession_code_gen       1945 non-null   object \n",
      " 6   profession_cat            1945 non-null   object \n",
      " 7   corporation               1945 non-null   object \n",
      " 8   keep_profession_a         1945 non-null   int64  \n",
      " 9   complete_profession_a     1945 non-null   int64  \n",
      " 10  enrolmentY                1941 non-null   float64\n",
      " 11  enrolmentM                1942 non-null   float64\n",
      " 12  startY                    1924 non-null   float64\n",
      " 13  startM                    1927 non-null   float64\n",
      " 14  length                    1944 non-null   float64\n",
      " 15  has_fled                  1945 non-null   int64  \n",
      " 16  m_profession              1932 non-null   object \n",
      " 17  m_profession_code_strict  1932 non-null   object \n",
      " 18  m_profession_code_gen     1932 non-null   object \n",
      " 19  m_profession_cat          1932 non-null   object \n",
      " 20  m_corporation             1931 non-null   object \n",
      " 21  keep_profession_m         1945 non-null   int64  \n",
      " 22  complete_profession_m     1945 non-null   int64  \n",
      " 23  m_gender                  1912 non-null   float64\n",
      " 24  m_name                    1938 non-null   object \n",
      " 25  m_surname                 1490 non-null   object \n",
      " 26  m_patronimic              456 non-null    object \n",
      " 27  m_atelier                 146 non-null    object \n",
      " 28  m_coords                  1944 non-null   object \n",
      " 29  a_name                    1945 non-null   object \n",
      " 30  a_age                     1891 non-null   float64\n",
      " 31  a_gender                  1908 non-null   float64\n",
      " 32  a_geo_origins             1385 non-null   object \n",
      " 33  a_geo_origins_std         984 non-null    object \n",
      " 34  a_coords                  1938 non-null   object \n",
      " 35  a_quondam                 1620 non-null   float64\n",
      " 36  accommodation_master      1945 non-null   int64  \n",
      " 37  personal_care_master      1945 non-null   int64  \n",
      " 38  clothes_master            1945 non-null   int64  \n",
      " 39  generic_expenses_master   1945 non-null   int64  \n",
      " 40  salary_in_kind_master     1945 non-null   int64  \n",
      " 41  pledge_goods_master       1945 non-null   int64  \n",
      " 42  pledge_money_master       1945 non-null   int64  \n",
      " 43  salary_master             1945 non-null   int64  \n",
      " 44  female_guarantor          1945 non-null   int64  \n",
      " 45  period_cat                1629 non-null   float64\n",
      " 46  incremental_salary        1945 non-null   int64  \n",
      "dtypes: float64(11), int64(15), object(21)\n",
      "memory usage: 729.4+ KB\n"
     ]
    }
   ],
   "source": [
    "contracts_zoom_df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plot: annual salary by corporation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x576 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "axes = contracts_zoom_df.hist(\n",
    "    column='annual_salary',\n",
    "    by='corporation',\n",
    "    sharex=False,\n",
    "    sharey=True,\n",
    "    figsize=(8,8),\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Combining hue and size of data points to add information to the scatter plot:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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jRo3o1atXlcbLzMxkzJgx5OXlYa3llVdeAUoXyF9yySXUrVuXIUOGsG3btkrPrUrNYT179qROnTpcf/31J/CqHTNV/faAN8XGxtq4uLhqGXvqDzN55N5nKCkpYdjIgTz+7P2ER4Q5rC0pKeGLj7/jhafeAOCxf/+dS64cXT7derSc7Fxeff4dvpw4maDgIF57/9/06d+zWl5HVcycOpeH7nyaoqJi/jLhAu7/v9upHRpy7CeKiMgpb8OGDbRv397bbZxS9uzZw+DBg0lISMDHx/HqLEfvqzFmubU21lH9GT3jBXD+mGE0axFNVlY2bTu0dhq6AHx8fLjsmnF079kZ42No26GV09AFEBwSxN0P/Y3R40dSOzSE5i2bVsdLqLLhowbTtHkUOTm5tG4Xo9AlIiLixCeffMKjjz7KK6+84jR0nYgzfsZLRETkTHCqzniNGzeu0unA559/nhEjRnipo4o04yUiIiKnjcmTJ3u7Bbc64y8nISIiIuIpCl4iIiIiHqLgJSIiIuIhCl4iIiLiETfccAMNGjSgU6dO5fuefPJJoqKi6NatG926dWPq1Kle7LD6KXiJiIiIR1x33XVMnz690v57772X+Ph44uPjGTVqlBc68xx9q1FEREQqycvLY9q0aaxdu5ZOnTpx/vnnExgYeFJjDhw4sMINtc9EmvESERGRCvLy8rjmmmt4+eWX+fHHH3n55Ze55pprqnQD6xPxxhtv0KVLF2644QbS0tKq5Rg1hYKXiIiIVDBt2jT27NlTHrTy8vLYs2cP06ZNc/uxbr31VrZs2UJ8fDyNGzfmvvvuc/sxahIFLxEREalg7dq1lWa38vLyWLdunduP1bBhQ3x9ffHx8eGmm25i6dKlbj9GTaLgJSIiIhV06tSp0nquwMBAOnbs6PZj7d27t/znyZMnV/jG4+lIi+tFRESkgvPPP58vv/yy/HRjYGAgTZo04fzzzz+pcS+//HLmzp3LwYMHiY6O5qmnnmLu3LnEx8djjKFFixa88847bnoVNZOCl4iIiFQQGBjIJ598wrRp01i3bh0dO3Z0y7cav/zyy0r7brzxxpMa81Sj4CUiIiKVBAYGMm7cOMaNG+ftVk4rWuMlIiIi4iEKXiIiIiIeouAlIiIi4iEKXiIiIiIeouAlIiIi4iEKXiIiIuIReXl59O7dm65du9KxY0eeeOIJALZt20afPn1o1aoVEyZMoKCgwMudVh8FLxEREfGIgIAA5syZw6pVq4iPj2f69OksXryYhx56iHvvvZfNmzdTt25dPvjgA2+3Wm0UvERERKSSGTNmMHr0aHr37s3o0aOZMWPGSY9pjKF27doAFBYWUlhYiDGGOXPmMH78eACuvfZafvjhh5M+Vk2l4CUiIiIVzJgxg3/+85/s2bOHkpIS9uzZwz//+U+3hK/i4mK6detGgwYNGD58OGeddRbh4eH4+ZVe0z06OpqkpKSTPk5NpeAlIiIiFbz55pvk5eVV2JeXl8ebb7550mP7+voSHx/P7t27Wbp0KQkJCSc95qlEwUtEREQq2Ldv33HtPxHh4eGce+65LFq0iPT0dIqKigDYvXs3UVFRbjtOTaPgJSIiIhU0atTouPZXVXJyMunp6QDk5uYyc+ZM2rdvz7nnnsukSZMAmDhxImPGjDmp49RkCl4iIiJSwe23305gYGCFfYGBgdx+++0nNe7evXs599xz6dKlC7169WL48OFceOGFPP/887zyyiu0atWKlJQUbrzxxpM6Tk3m5+0GREREpGYZMWIEULrWa9++fTRq1Ijbb7+9fP+J6tKlCytXrqy0PyYmhqVLl57U2KcKBS8RERGpZMSIEScdtKQynWoUERER8RAFLxEREREPUfASERER8RAFLxEREREPUfASERER8RAFLxEREfGo4uJiunfvzoUXXgjAddddR8uWLenWrRvdunUjPj7euw1WI11OQkRERBxKSEhg165dNG3alHbt2rlt3FdffZX27dtz6NCh8n0vvvgi48ePd9sxaiqvBC9jzL3AXwELrAGut9bmuX6WiIiIeMLBgwe566672LlzJ76+vhQXF9OsWTNee+016tevf1Jj7969m19++YVHH32UV155xU0dnzo8fqrRGBMF3AXEWms7Ab7AZZ7u40Tt23uASZ//xKQvfiZ5f8ox61NT01k0fxnrVm+s0vjxy9fw3Zc/s+SP5VWqnzXtdz77cBJ/zF1yzNrc3FymTP6VLz/+nhVL449Zv2PbLr7+9Ae+/fwn9u9LPmb90kUr+HLi90z7eXZVWicxYSu//vIba1edWXemFxGp6e666y62bNlCXl4e2dnZ5OXlsWXLFu66666THvuee+7hhRdewMenYgR59NFH6dKlC/feey/5+fknfZyaylunGv2AIGNMIRAM7PFSH8clI+0Qb/93It9/NQWACVeP5e6H/0bt2sEO69NTM3j6oReZ8+sf+Pr68uKbTzDs/EFOx1+yYAXPPfEqWxK3E1G/Lo/9616X9T99N51nH3+V7KwcWrZqTlFRMYOH9XNaP+nzKbz877coKSlh8LB++Pj60a1nJ4e1qQfT+PB/XzD566kAXHn9xdz98M2V7t112LLFK3n/jc9Y/Mdy/Pz9yMzI4tKrnN/kdN3qBP521f0cysikVkAt3vjwOfoO6Om0XkREPOPw6cXi4uIK+4uLi9m5cycJCQknfNpxypQpNGjQgJ49ezJ37tzy/c8++yyNGjWioKCAm2++meeff57HH3/8ZF5GjeXxGS9rbRLwErAT2AtkWGt/9XQfJ2Lrlh388M3U8u3vvprC9i07nNZvSdzOnF//AEp/w37/9S8ux1+1Yi1bErcDpcFnZdwal/WrV6wnOysHgG2bd7BxXaLT2pKSEmZMmUNJSQkAc2ctZOf23U7rEzduLQ9dAJO++JnEhG1O67dv2cXislm6osIi5s1e5LL3lcvWcCgjE4CC/AKWLFzhsl5ERDxj165dlWajDvP19WXXrl0nPPaCBQv46aefaNGiBZdddhlz5szhqquuonHjxhhjCAgI4Prrrz+t79vojVONdYExQEugCRBijLnKQd3Nxpg4Y0xccvKxT3N5QlhYKI2aNCjfjm7WmLDwUOf1desQEFCrfPus1i1cjl+/QT2MMeXb9erXdVlft154+c/GGOo3qOe01sfHh+hmTcq3a4eGEF43zGl9aJ3aNGwUWb7dtHkUYWHOX2tEvXACAwPKt6OiG7nsPeKo11Y/0vVrFRERz2jatGml2a7DiouLadq06QmP/eyzz7J79262b9/OV199xZAhQ/jss8/Yu3cvANZafvjhBzp1cnw25nTgjVONw4Bt1tpkAGPM90A/4LMji6y17wLvAsTGxlpPN+lITOsW/P2RW5kxZQ4+Pj6cd+G5NG0e7bS+VZuWvPr+M0z9cRaNoxoy9tJRLscfccG55GTnsn7NRpq1iGbEhee6rO87oCeFBYVs37qLnr27MvT8c1zWDxs1iNCw2qSnZHDOkD4MHHK209oOndty7z9uYdaM3/Hz9WXIiAE0a+n8tQ4dOZCHn76bRb8vo36DevQZ0MNlLwOHnM3fH7mVmVPn0ndAT0ZcOMRlvYiIeEa7du1o1qwZW7ZsqRDAfH19adasmVu/3XjYlVdeSXJyMtZaunXrxttvv+32Y9QUxlrPZhpjTB/gQ6AXkAt8DMRZa1939pzY2FgbFxfnmQZFREROQxs2bKB9+/ZVqq3ObzWebhy9r8aY5dbaWEf1Hp/xstYuMcZMAlYARcBKyma2RERExPvq16/PF198UW3X8TqTeeVbjdbaJ4AnvHFsERERqZp27dopcLmZbhkkIiIi4iEKXiIiIiIeouAlIiIi4iEKXiIiIiIeouAlIiIiHpOens748eNp164d7du3Z9GiRaSmpjJ8+HBat27N8OHDSUtL83ab1UbBS0RERCrZuXMnr7zyCnfddRevvPIKO3fudMu4d999NyNHjiQhIYFVq1bRvn17nnvuOYYOHUpiYiJDhw7lueeec8uxaiKPX0D1ROgCqiIiIifneC6gOnnyZF566SWKi4spKirCz88PX19f7r//fsaNG3fCPWRkZNCtWze2bt1a4RZ5bdu2Ze7cuTRu3Ji9e/cyePBgNm7ceMLH8aTjvYCqZrxERESk3M6dO3nppZfIz8+nqKgIgKKiIvLz83nppZdOauZr27ZtREZGcv3119O9e3f++te/kp2dzf79+2ncuDEAjRo1Yv/+/W55LTWRgpeIiIiUmzRpksubZE+aNOmExy4qKmLFihXceuutrFy5kpCQkEqnFY0xFWbDTjcKXiIiIlJu+/bt5TNdRysqKmL79u0nPHZ0dDTR0dH06dMHgPHjx7NixQoaNmzI3r17Adi7dy8NGjQ44WPUdApeIiIiUq5Fixb4+Tm+o6Cfnx8tWrQ44bEbNWpE06ZNy9dvzZ49mw4dOjB69GgmTpwIwMSJExkzZswJH6Om88q9GkVERKRmGj9+PN99953DWS9fX1/Gjx9/UuO//vrrXHnllRQUFBATE8NHH31ESUkJl156KR988AHNmzfnm2++Oalj1GQKXiIiIlKuWbNm3H///Q6/1fjAAw/QrFmzkxq/W7duOLpSwezZs09q3FOFgpeIiIhUMG7cOHr27MmkSZPYvn07LVq0YPz48ScdukTB65RWXFzMkgUrSNq1h45d2tGhc1tvtyQiIqeJZs2a8fe//93bbZx2FLxOYfPnLObumx7FWkudsFA++vY1WreN8XZbIiIi4oS+1XgK25SwhcN3HjiUkcmOrbu83JGIiIi4ouB1CmvT/qzyi8zVCQulecumXu5IREREXNGpxlPYwCFn8/anL5G0cw8du7ajdTudZhQREanJFLxOYT4+Ppx9jsN7cIqIiNQ4GzduZMKECeXbW7du5emnnyY9PZ333nuPyMhIAJ555hlGjRrlrTarlYKXiIiIVJCXl8dXX33F119/TXp6OuHh4UyYMIHLLruMwMDAEx63bdu2xMfHA6XfzI+KimLcuHF89NFH3Hvvvdx///1uegU1l4KXuE16agabErYQFl6Hth1aebsdERE5AXl5edx0001s3bqV/Px8AJKTk3nvvfeYPXs277333kmFr8Nmz57NWWedRfPmzU96rFOJFteLW2SkZfDPR1/hr5ffy+Wj/8a82Qu93ZKIiJyAr776qkLoOiw/P5+tW7fy9ddfu+04l19+efn2G2+8QZcuXbjhhhtIS0tzyzFqIgUvcYvNm7Yzc+pcAIoKi/jpuxnebUhERE7I119/XSl0HZafn++W4FVQUMBPP/3EJZdcAsCtt97Kli1biI+Pp3Hjxtx3330nfYyaSsFL3CIsPJRaAbXKt1vo0hYiIqek9PR0l4+7YzZq2rRp9OjRg4YNGwLQsGFDfH198fHx4aabbmLp0qUnfYyaSmu8xC1atY3h1ff+zZTJM2narDHjJpye30YRETndhYeHk5yc7PTxunXrnvQxvvzyywqnGffu3Uvjxo0BmDx5Mp06dTrpY9RUCl7iNv0H9ab/oN7ebkNERE7ChAkTeO+99xyebgwICKhwOYgTkZ2dzcyZM3nnnXfK9z344IPEx8djjKFFixYVHjvdKHiJiIhIucsuu4zZs2dXWmAfEBBATEwMl1122UmNHxISQkpKSoV9n3766UmNeSrRGi8REREpFxgYyHvvvcfNN99MgwYN8Pf3p0GDBtx88828//77BAQEeLvFU5pmvERERKSCwMBArr32Wq699lpvt3La0YyXiIiIiIcoeImIiIh4iIKXiIiIiIcoeImIiIh4iIKXiIiIOJSUlER8fDxJSUluG/PVV1+lU6dOdOzYkf/+978ApKamMnz4cFq3bs3w4cNP63s16luNNUx2VjapB9OoXac2dSPCq+UY1lqMMcesWxm3hrSUNIqLS2gc1YhOXdsd8znFxcX4+vq6o00REfGS9evX88wzz7Bt2zb8/f0pLCykZcuWPPLII3To0OGEx127di3vvfceS5cupVatWowcOZILL7yQd999l6FDh/Lwww/z3HPP8dxzz/H888+78RXVHApex2n9mo1M/noqxsC4yy6kfcfWLuun/TSbebMWUj8yggvGDaN9p7ZOa1euWEPcgpWsWLaG1u1i6H12Nwace7bT+oW/L2XBvKVsTdxJ7/7dGXXREBo2aei0/tdf5vLH3CWkpaYzZMQ5jLvU+W195s5aSHZWNtN/moOvnw/nXXAuWZnZ9B3Q02F9fn4+k774mak/zKRxVCNGXjSEYecPcjr+9u27mT11HqtXrKNV2xgGnNub7rFdnNanp6bz03cz2Lh+M4OG9WPY+YPw8fHehO0fc5cw/ec5RDdtzNhLR9GoSQOv9SIi4k7r16/n5ptvJi8vD6D8IqoJCQncfPPNvPvuuyccvjZs2ECfPn0IDg4GYNCgQXz//ff8+OOPzJ07F4Brr72WwYMHK3gJHMrI5JF7n2Fr4nYAVq/cwAdf/YeQ2iEO65cvXc1TD79ITnYuAIVFRS6D1/r4jbz+0gcALJi3lMCgQGLP7kFgoOOL1S1fsopP3/+2rH4JISHBXHrVGIe1eXn5TP9pNrOm/w7A0oUrCQ8P49zz+jusDwoK4KmHXyQlORWALZu283/P3u+091lTf+fFp9+kpKSENfEJFBcVM3TkQKczawt+W8Krz78LwG8zF1ArsJbL4DXjl7m89K+3AJgyeSYffP0qsX26Oq2vThs3bOaemx+jIL8AgBJrue3e673Si4iIuz3zzDPloetoeXl5PPvssyd8pflOnTrx6KOPkpKSQlBQEFOnTiU2Npb9+/eX36uxUaNG7N+//4T7r+kUvI5DTnYuO7ftKt/etnkHuTl5ToNX6sG08tAFkLRzr8vxDx5MrbCdnnaInJxcp8ErPe1Qhe2Ug87PiRcXFbFr557y7dycXDLSMxzWlpSUUJBfUB66AJJ278OWlDgdPyUljZIjHt+5M4m8vDyCgoIc1qemVOw1LSXd6dgAB4/oxVpLWqrr+uqUkXaoPHQB7Ni6y0W1iMipIykpiW3btrms2bp1K0lJSURFRR33+O3bt+ehhx7ivPPOIyQkhG7dulVanmKMqdJymFOVFtcfh/oNIvjbXX9exfdvd19LRH3nd2nv2LUtg4b1A8C/lj/Dzh/ocvwOHdvQOKr0VGHt0BA6d2tHhIt1Xl26dyAouDTYNG8ZTdv2ZzmtDakdwqixw8p/M/cf1Jsm0Y0c1vr4+FBQWMToi0eW7xt/+UXk5OQ6rAeIad2c1u1iyrcvHHue09AF0KFTG6Kalh6/TlgoXbq7nrY+e0BPgkNKx+vYtR0dOrdxWV+dWrWLKf9c/fz9GDVmmNd6ERFxp+TkZPz9/V3W+Pv7k5ycfMLHuPHGG1m+fDm///47devWpU2bNjRs2JC9e0snJ/bu3UuDBqfv8g3NeB0HPz8/rrvlMmL7dgUMnbu1d7nOqElUIx564i5GXjiE8Igw+g3s5XL8c4aejY+vD0m79tKoSQN6n93DZf2YS84nKDiQfXsP0LxlUwYN7eeyfsSFg6lXvy6H0jNp1bYlvfs5H79zt/YYoGOXtvj6+hIRGUH3np2d1g8Y1AcDJCZspW5EOENGnOOyl6EjB+Lv78+uHUk0imrI0GPU9+jdlS9+fJsDB1JoGdOMho0jXdZXp4iIcJ564UE2JWwlLLzOMdf5iYicKiIjIyksLHRZU1hYSGTkif8ZfODAARo0aMDOnTv5/vvvWbx4Mdu2bWPixIk8/PDDTJw4kTFjHC+bOR0Ya623ezim2NhYGxcX5+02zki7d+7BGENU08bebkVERE7Chg0baN++/THrrrrqKhISEpw+3r59+xNe4wVwzjnnkJKSgr+/P6+88gpDhw4lJSWFSy+9lJ07d9K8eXO++eYbIiIiTvgYnuTofTXGLLfWxjqq14yXuBTdrIm3WxAREQ965JFHKnyr8UiBgYH84x//OKnx58+fX2lfvXr1mD179kmNe6rQGi8REREp16FDB959913at29PQEAAtWvXJiAggPbt25/UpSSklGa8REREpIIOHTrw6aefkpSURHJyMpGRkSf0LUapTMFLREREHIqKilLgcjOdahQRETlDnApfqDuVnMj7qeAlIiJyBggMDCQlJUXhy02staSkpBAYGHhcz9OpRhERkTNAdHQ0u3fvPqmLn0pFgYGBREdHH9dzjhm8jDENgP5AEyAXWAvEWWud3z9GREREahR/f39atmzp7TbOeE6DlzHmXOBhIAJYCRwAAoGxwFnGmEnAy9baQ87GkDPLoYxMNm/aRmidUFq31f/cIiIiR3M14zUKuMlau/PoB4wxfsCFwHDgu2rqTU4hhzIyefaJV/ll8kxqBdTi1ff+Rf9BfbzdloiISI3idHG9tfYBR6Gr7LEia+0P1lqFLgFg86Zt/DJ5JgAF+QX8NGmGlzsSERGpeY75rUZjzN3GmDqm1AfGmBXGmPM80ZycOkLrhFIroFb5dnRz3WpIRETkaFX5VuMN1tpXjTEjgLrA1cCnwK/V2pmcUlq3bcmr7/2LnybNILp5E8ZffqG3WxIREalxqhK8TNmvo4BPrbXrjDHG1RPkzNR/UB+t6xIREXGhKhdQXW6M+ZXS4DXDGBMK6FISIiIiIsfJ5YxX2czW40AksNVam2OMqQdc74nmzkSFhUUcSj9EaJ3aFdZMucuunUnkZOfSum0MPj7Hzt1rVyVgfKBj53bHrM3KymLzxu3UDg2hVZtjX04iPz+f9NRD1AmrTVBwUJX6FxEROZW5/JvXlt5XYKq1doW1Nr1sX4q1drUnmjvTpKcf4qV/vskFg67gwTufJmn3XreOP33KHG66/O9cPfY23n51Inl5eS7rv/n0B+644WHuvvFRJn/9i8vaA/uT+d9/PuaGCXdz142PMPXHWS7rUw6m8a9H/sP5AyZw321PsmvHnuN+PSIiIqeaqpxqXGGM6VXtnQhLFizny4nfk5Ody5wZ85n76wK3jV1SUsKXH33Pnt37yMvL5+3/fsyCuUud1i9ftor/Pv8uqQfTOLD/IG/95yM2rN3ktH7+nCV8+v63FBUWsXvnHqb+4Dp4LZy3lB8nTaOoqJg/flvMbzP/OOHXJiIicqqoyuL6PsCVxpgdQDali+2ttbZLtXZ2JjrqxqUlJe5dSldcUnzUtvPxrbUUF//5eElxCSUubqx69E1Xi4uLnVQ6ri8p1rJBERE5/VVlxmsEcBYwBLiI0ivWX1SdTZ2pevXrwdhLR+Hr68vZ5/Ri0LD+bhvbx8eHK667mIh64fj4+HDDrVfQf2Bvp/Wxvbtx94M3ERwSRGid2txyz3V07NzWaf3Z58Ry6VVjMMZQv0EEF/7F9aXezj6nF8MvGAxAj15dOPe8ASf0ukRERE4l5uiZB6eFpTfLDjy87eyq9tUhNjbWxsXFeepwXpWfn09aagZ16oQSHOL+BeebN20jOyuHth3OIjAw8Jj1K5auxvgYusd2PmZtamo6iQlbqR0STMeux16Mn5OTS+rBNMLC6xBap3aV+hcREanpjDHLrbWxDh87VvAyxowGXgaaUHqj7ObABmttR3c36syZFLxERETk1OYqeFXlVOM/gb7AJmttS2AosNiN/YmIiIicEaoSvAqttSmAjzHGx1r7G+AwxYmIiIiIc1X5VmO6MaY2MB/43BhzgNJvN4qIiIjIcajKjNcYIAe4B5gObEHfahQRERE5bsec8bLWZhtjmgOtrbUTjTHBgG/1t3ZmyszM4sDeZOrWr0tERLi32xERERE3OuaMlzHmJmAS8E7Zrijgh2rs6Yy1f18yD9/1L8YNv46br/g7WxK3e7slERERcaOqnGq8HegPHAKw1iYCDaqzqTNV3KKVzJ+zCIBNG7aU/ywiIiKnh6oEr3xrbcHhDWOMH1C1q67KcQk46oKmgYEBXupEREREqkNVgtc8Y8wjQJAxZjjwLfBz9bZ1Zuo7oCc333UNjZo0YNyECzh3xDnebklERETcqCpXrvcBbgTOo/QG2TOA921V7zXkBmfaletzsnMICg7CGOPtVkREROQ4ubpyfVWu43UB8IG19j33tiXOBIcEe7sFERERqQZVOdU4AUg0xrxgjDn2nY9FRERExKFjBi9r7VVAd0ovnPqxMWaRMeZmY0xotXcnIiIichqpyowX1tpDlF7L6yugMTAOWGGMubMaexMRERE5rRxzjZcxZjRwPdAK+AToba09UHYF+/XA68d7UGNMOPA+0InSS1PcYK3VRatOA4cyMgkIDCAgoNYxa7dt2UHSrn00aFifVm1b4uNTpX8HuJ21lg1rE1m7egO+xocuPTrSul2MV3oREZHTW1UW118M/Mda+/uRO621OcaYG0/wuK8C0621440xtYDTdjX5mpXrSVi3mbC6dRh2/sBjhou5sxawZ/c+GjWO5Jwh/fD3d/4RrV+dwMaEraQkpxIV3Yje/XpQLzLCef2aBOIWryI7O5cOndswaGg/l72sXZXAxvWb8fH1oUOn1rTt0Npp7fatu9mXtJcd23YTVjeMHr0606BRpMPa4uJivv3sR17+9//Izy/A19eXG267gr/ediVBwUEOn5OWms7yJas4sP8gTZs1YcC5fV1+63Pf3v2sXLaW7Mxsmp/VjF59uzmtnfbjLOpH1qOkuAQfPx/SUtOYN3uhy/fnj7mL2bJpBxH1whh83jmEhoY4rS0sKGT+b4tJ2rWXxlEN6TewN8Ehjl/niSgpKWHB3KVkZWUT27crkQ3qu21sgH17DrBxwxbC69ahS/cOx/y27c7tu9m1Yw9NohrRslUzt/ZSUlLChrWJ5OXm0bZDK2q7eN9FRGoip3+rG2OMLXWti+fPOd4DGmPCgIHAdQBlF2ctcPWcU9Walet5+9WPmf/bEvxr+ZOeegeXXj3Waf3MafN45d//I2nXXkLr1Obhp+7ior+McFibk53Lirg1vPXKR2RlZhPTujlFxSVc9JfzHNbvSdrHpx9M4pfJMwGIbBDBE889yMChZzus37RhMz98M5VvPvsRgGtvvoyQ0GCim0Y5rN+3Zx+fvP8tf8xdQkBALR54/A46dmlHxy5tK9WuXrmeZx5/tXy7uLiY917/lI6d2zLEybXLfp+9iBeefoPMQ1m07dCKouJizh0+wGEtwKxpv/PKv/9HUVExIy8ago+PoWfvrpXqdm7fTb0GEUz9cRbff/ULANf97TJ69O7MwQOp1G9QOcjO/20xr7/4PgnrEvHx8eG+Rw9x1Y2XOA0ks3+dz8v/eov9e5MJC6/Dw0/eyQXjHH9OJ+KzDyfx8r/ewlrL0BHn8Ngzf6defecB/HjsTdrP/bc9wZr4Dfj4+PD8648z4sJzndZvXL+ZO65/iP37DhIWXoc3P36eLt07uKUXgF9+mMljf38Way0Trh7Dvf+41a0hVkSkurmafvnNGHOnMabCP1mNMbWMMUOMMRMBV6HMmZZAMvCRMWalMeZ9Y8xp+c/WhPWbmf/bEqB01uPXX+ZSWFjotH7dqgSSdu0FIPNQFqtWrHdau2njZtat2khWZjYAWxN3sHF9IlmZWQ7rDyanlocugOQDqWzcsNnp+MkHUstDF8CXE7/nwN4Uh7Vpqels27qTP+aWvtb8/ALmzlpAy1ZNHdavjU9wuH/Nqg0O96ekpBC/fC2Zh0pf28b1m0lY57z3A/sO8PN3MygqKgZg+s9zSNq512Ht5k3byczILg9dAF9/8gOBAQFs3bzd4XMSE7aQsC4RKJ2BmTL5VzLSM5z2s37VRvbvTQYgI/0Qq+M3kJeb57T+eOTm5PLlx99z+LJ6s2fMZ93qjW4ZG2Dd6o2siS/9XEpKSvj8o0ku6+MWx7N/30Gg9LUuXbjCbb3k5eXzv/98XP5av/70R3Zu2+228UVEPMFV8BoJFANfGmP2GGPWG2O2AonA5cB/rbUfn8Ax/YAewP+std2BbODho4vKvjkZZ4yJS05OPoHDeF9YeCj+tfzLtxs0jsTf399pfXjdOhW269Sp7bQ2OCSEkNCKZ2jDw8OoVcvx2qqAwIBKp2XqhDn/YmpwSCB1I8LKtyMb1CMw2PEtjAIDAwgPq1PhtUY2qE9xcbHD+jphjl+Xs9cbHBRc6TnhdcMc1gLUCgygUVTDP58fEkSok9caEhJMcEggYeF/vvcNGtXHP7AWIbUdnwE/+tgNGzcgwMXtnY5+n0NDQ/BzcQr5eNQKqEXjJg0rbB/5Wk7W0e97sxbRLuvDjvo97M5eatXyp8VZf4b5oOAggkM12yUipxanf/pba/OAt4C3jDH+QH0g11qbfpLH3A3sttYuKduehIPgZa19F3gXSq9cf5LH9Iph5w8iPTWDGVN+o2GTBgw/f6DL+u6xnbjxtitZsmA57Tu1oVvPzk5r27SNoVefbmRn5bBrexJde3SkbafW1HKyqL11m5Y89MSdvPSvt8jKzGbC1WPo2beL0/E7dG7LA4/fweSvpuLn78uY8SNp3fYsh7VBwUHE9uvK/Y/dzm8z/6BBw/oMGNyb9NRDhIZWDjy9+nUnumkTdu/aU74vtE5t+g/u43T87rFdyLoymy2bdtBvYC+6x3Zy2nt4eBijLhpKcFAgqSnpjLxoCOcO7++wtlPXtrz87/9x32O38eO306gV4M+FY0fwy6Rp/OOf9zl8zsChfbnrgZv46fsZRDVtzIXjhhMU5DwAdO7RgWtuupS4xfF06tqerrGd8PNzT/Dy9fXllnuu49MPviEtJZ3LrhlH1x4d3TI2QPdeXXjiuQf45P1vaNWmBdffcrnL+kHD+nHH/X9l1rR5nDOkL0OP8Xv+ePj4+HDvw7dQNyKclORUrr35Mpo1dx0ERURqmmPeMqhaDmrMfOCv1tqNxpgngRBr7QPO6k/1WwYVFha6nOk6Uk5OLoUFhfj4+BDqYsYLoKioiE0bNpObW0CdOiG0buc4GB1mrWVL4jaKi0po2LhBpRk2R/Ly8rDWugwWh21Yu5HmMU0pKbakpqS5nB1JTNjKT9/NYOG8pXTr1Zkx40fQpbvrwJCTk4O1lqKiYsLCjt17YWEhRYVFThfsH7YlcTvff/Ez4664qPTU4aQZXHr1GKKbNXH6nOLiYg4eSCGkdjC1Q11/TgDp6RlkHcomJCSYuvXCj1lf0xzP72Eo/b2mW16JyJnK1S2DvBW8ulF6OYlawFbgemttmrP6Uz14iXM15S/okpIS9uzeh4+PD02iG3m7HREROYWd7L0a3c5aGw84bEjOLDUhdEHpaSxXM1wiIiLu4J0rVoqIiIicgY4ZvIwxfzHGJBpjMowxh4wxmcaYQ55oTkREROR0UpVTjS8AF1lrHV9kSURERESqpCqnGvcrdImIiIicPFe3DPpL2Y9xxpivgR+A/MOPW2u/r97WRERERE4vrk41XnTEzznAkTeXs4CCl4iIiMhxcHXl+usBjDH9rbULjnzMGOP4MuAiIiIi4lRV1ni9XsV9IiIiIuKCqzVeZwP9gEhjzN+PeKgO4FvdjYmIiIicblyt8aoF1C6rOfJOx4eA8dXZlIiIiMjpyNUar3nAPGPMx9baHR7sSUREROS0VJULqL5hjDn6TtoZQBzwjrU2z/1tiYiIiJx+qrK4fiuQBbxX9t8hIBNoU7YtIiIiIlVQlRmvftbaXkds/2yMWWat7WWMWVddjYmIiIicbqoSvGobY5pZa3cCGGOaUbroHqCg2jqTYyoqKmLxguUk7dpLx85t6dS1vcv6rZu3M2f6H2RlZdOjVxcGDj3bZf2CuUtYvnQ1vr4+9OzTjb4Derqs/23mAlYuW03diHDOGzWIqGZNjvs1OZORfohfJs9k354DdOjchpGjh7qsP5SRye9zFpGdlUPvs7vTslVzl/W7d+zhj7lL8PX3ZeC5Z9OwcaTbehcRETmsKsHrPuAPY8wWwAAtgduMMSHAxOpsTlz77dcF3Hfr4wCE1A7mw29eo33H1k7rv/7kR76cWHrDgVnTfickNJievbs6rN24YTMfvPU5cUtWATBwSCJNmzchqmljh/WL/1jOM4/9h/37kgFIT8vg3n/ccsKv7WiTv57KK8/8D4Cg4CB8/XwZPmqw0/qP3/mK99/8DIBWbVryv09fpGEjx2EqI+0Qj93/LCuWrgZg+AWD+dfL/yAoKNBt/YuIiEAV1nhZa6cCrYF7gLuBttbaX6y12dba/1Zve+JKwrrE8p+zs3LYsmmb09rc3DyWLFxevr1z+252bN3ltD5538Hy0AWwcP4y9u054LR+6+bt5aELYMWy1RQVFR3zNVTV5o1by3/Ozcll86btTmvz8vKZ/vOcP5+7aRt7du1zWn/gwMHy0AUwa+o80lMzTq5hERERB6qyuB6gJ9AR6Apcaoy5pvpakqqKaf3n6TP/Wv40axHltDYoKJAu3TqUb0c2qOfyVGBEvXDaHTF71q1HR+pFRjitb9Y8mrDwOuXbHTq3xc+vKhOqVdO0RXT5z37+fi5fa2BgAOec26d8u1HjSJenDuvVq0vrdjHl230H9KROWKjTehERkRNlrD36ShFHFRjzKXAWEA8Ul+221tq7qre1P8XGxtq4uDhPHe6UkZ+fz9xfF5C0ex+durand7/uLuvXxG9g7qwFZGfl0LN3F5en6gBmT5/PyrjVGB8fevbqwuDhrm/ROf3nOcTHraFOeB2GjTyHNu1bHe9Lcmrfnv1MmTyTA/sO0r5Ta8ZNuMBlffKBFOZM/53MzGz6D+pD+07OT8ECbN64jbmzFuDr58fQEQNodkTQExEROR7GmOXW2liHj1UheG0AOthjFVYjBS8RERE5VbgKXlU51bgWaOTelkRERETOPFVZhFMfWG+MWQrkH95prR1dbV2JiIiInIaqEryerO4mRERERM4Exwxe1tp5xpjmQGtr7SxjTDDgW/2tiYiIiJxejrnGyxhzEzAJeKdsVxTwQzX2JCIiInJaqsri+tuB/pTeHBtrbSLQoDqbEhERETkdVSV45Vtry+/JaIzxA7x2aQkRERGRU1VVgtc8Y8wjQJAxZjjwLfBz9bYlIiIicvqpSvB6GEgG1gB/A6YCj1VnUyIiIiKno6p8q7EEeK/sPxERERE5QU6DlzFmDS7Wcllru1RLRyIiIiKnKVczXhd6rAsRERGRM4DT4GWt3eHJRqT6FRYUsnzJKrKycujcvT0NG0V6uyUREZEzSlVuGSSnie+++oVn/u8/APQd0JNnX/0/6tWv6+WuREREzhwKXmeIwsIivvl0MrF9uxESEszKuDXs2LbLrcHLWkvKwTSCggIJqR18zPo9SfvYv+cAEfUjaN4y2m19iIiI1FTHDF7GmLutta8ea5+4x/atu9iUsIXoZk3o0KnNMeu3bt5B8oEUWsQ0dXnqMDcnl0HD+tOhS1vCI2rTPCaKkuISp/X5+fnMn7OYfXsPYC1EN23MgMF98K/l77B+zaoNpB5Mo6SomBJr8fEx9O7fk5CQygEsNzePLz76js8//I4xl4xkyne/cv7YodxwyxWER4Q5HD9uSTxzps8nNSWdFjFNuWDscJq2iHL53pSUlFBcXIy/v+Oej5SYsJUN6xLxMYZO3drTIqap09rcnFwW/bGcrZt3EBwcRJ9+3TmrTctjHkNERMRY6/oi9MaYFdbaHkftW2mt7V6tnR0hNjbWxsXFeepwbmOt5bsvpvDTd9Np1KQBV15/MV17dnJaP3PqXF7855vs23OA0Dq1uf//bmfcpaOc1k/5YRZbN23jwP6DtGrTgrYdW3P2gFiHtZ9/9B2RDeuxfMkqMtIPcfaAWIqKixk05GzqN6hXqf77r35h6+bt7NyehK+vD02iG9O2w1mMvnhkpdqkXXvYsG4zBw+ksGTBcupHRtAttgtBQYEMGTGgUv03n/1IrVr+pKcfYnPCVqKaNqZN+7PYlLCFW++5vlL9ymWrees/H9GoSUMO7EumeUxT9ibt518v/4Ow8DoOX++MKXP4cuJk0lIzGH/FRVx5/cX4+Di+bN3ShStZ+PtSVq9cj6+vLx27tGXoiHPo3L2Dw/pP3vuaPbv3s2PbLsIjwijIL+CWu6+ldbuzHNYf2J/CFx9NYtmilXTu1p7LrhlLi7OaO6wF2LN7H59/9B1rV23ggrHDGXPJSAICApzW7965l6k/zCQjI5PhowbTrWdHp7UiImeivLx8Zkz5jcSELXTu2p4hIwfi7199J/2MMcuttQ7/QnZ1OYnLgSuAlsaYn454KBRIdW+Lp6ff5yziX4+9QklJCSyHQxmZvDXxBYcBID8/n0lf/My+PQcAyDyUxVsvf0jPPl1p1rzyzM6uHXvYnrid99/8DABfX1/ue+xWYnt3rTQrtW/PAWL7duG91z/n119+A2DerIX8+z//YGXcWoaPGlShPvlACoUFhUz7cTbJB1IAaN4ymphWzcjIyCQsLLRC/dbEnWRlZvHiP9+ksKAQgJycPM67YBCpKelE1Asvry3IL+CHb6Zy0cXn8cq//1e+/84HbuKLj77n0ivHUC8yosL4v81aSJPoRkz+eioAi+bHMW7CKP6Yu4QLxg6v9N4kH0jh1efeZfeuvQC89M83qVcvnFEOagESE7bwzWc/kpWZXfZ6thPVrLHD4LV9yy42b9rOlO9nUFRUDMDwUYNZsmCF0+A15fvpfPi/LwBYE7+B2qG1ueP+Gx3WAnz7xU98+v43AKxctobIhvU5d3h/p/XvvfFJ+Xvzy+Rf+eLnd2gS1chpvYjImeb32Yv4v/ueLd9+a+ILDBjcxyu9uIp7C4G9QH3g5SP2ZwKrq7Op08WBfQdLQ1eZbVt2kpeXT3BwUKXazEPZbNm0vcK+/fuSSTmQ4jB4paWmk5aWUb5dXFzMwQOp5OXlVwpemZlZ+ODDts1/flE1OyuHtIPpOJrwzDqURXZ2dnnogtKgV1hYRHZmdqXgVWJLSEvJKA9dADu27sLP15/srOwKwSsvL589u/dxYH9KhTFSklM4lJFJdnZOpeCVkXqIrKzsCvvy8wo4eMBx/k9NSWNP0v7ybWstB5Od/1vh0KHM8tAFpcEtPy/fYW1GegYF+QXloQtg3579ZGY6P9V4dJ8pB13/u2Xzxm1HPT/FSSUUFRWxNj6hfDs1JZ2MtEwFLxGRI+zfl1xh+8BR257k9JZB1tod1tq5wJXAEmvtPGvtPGADoJXQVdC5e3uaRP/5F+AFY4Y5DF0A9SMjGH7B4Ar7Bpzbl3YdWjusb3lWM2JaNycoKBCAZi2jaNYyitA6tSvVNolqyMGDKRXG79G7Cw0bN+SsNi0q1TeKakB43Tr0H9S7fN+55/UnMCCASAenJQMCAmgc1YA27WPK9w0c2o+CwgIaHLXuLLRObc4+J5a27VuVr0mrHRpC+85t6NytPZENK48f06Y59SIj8PX1BaBeZAQlJSV06trO4XvTIqYp5114bvl2w0b1ad0uxmEtQP36EXQ94vRcv4G9CA2t/D4CNItpiq+vDy3Oala+r0OXtjRt1sTp+J17dKBWQC2gdGbS2SnMw0ZeOKT859A6teno5HUC+Pn5ccX1F//53NFDaNrceS8iImei7rGdqFM2adCwUeQx/xyuTlVZ4xUH9LPWFpRt1wIWWGt7eaA/4NRd4wWli86XL44nrG4YIy4YTLCDxeaHJW7cytQfZrFs0Uo6dGrDiIvOpWefbk7rE9YnsmblBpL3H6RxdCP6D+xVKegctmj+MvwC/Ni+eReZGZm0ahvDpg1buOavl5aHgiPFLYln4/otbFyXiPExdOjclg6d2jj8zZqTncuiP5ZRWFDIjq27Catbh/oN61GnTjC9z658invpwhU88cAL3PfYrezcvpvGUQ2Z9OUULrt6LMNHDa5UfzA5lRf/+Sa1avlTWFBIcXExbTu04vpbLi8PY0fbtnkHc2bMJzs7h26xXRg4pK/T93H/3gP8OnUeG9dvxtfXh3ad2nDBmGHl/5MebdnilXz3xc+AoVZALSLqhXP93y4jrK7jLwYAzJ4xn8SELTRv2ZSRFw3BGOO0tqioiKULV3Bg30HadWxNu46Ow/eR9auWryMnO4dO3TpQ18kXFEREzmRbEreTtGsfzVtGV/s36V2t8apK8Iq31nY7at8qa21X97Xo2qkcvDyhsLCoSosEE9YlsmLpavLzC2jdLoaevbsQ5GQGDkpPoSVu3IaPrw9t2sUQ2aC+09qszGxWr1xHQUERPsbQoHEk7Tq0clq/Mm4NM6b8xvo1G4lp1ZzhowbRf5Dz8+25ObksXbiSfXv2075zGzp1be90sfyJ2rUjCV8fH5o0bXzM2oPJqWxJ3EadOqG0bheDn5+uzCIiIqVONnjNBF631v5Utj0GuMtaO9TtnTqh4CUiIiKnihP6VuMRbgE+N8a8ARhgF3CNG/sTEREROSMcM3hZa7cAfY0xtcu2s6q9KxEREZHTUJUWphhjLgA6AoGHFwVba5+uxr5ERERETjvHXJ1sjHkbmADcSempxksA55fdFhERERGHqvK1sH7W2muANGvtU8DZwLFvIigiIiIiFVQleOWV/ZpjjGkCFALH/r69iIiIiFRQlTVePxtjwoEXgRWABd6rzqZERERETkcug5cxxgeYba1NB74zxkwBAq21Ga6eJyIiIiKVuTzVaK0tAd48YjtfoUtERETkxFRljddsY8zFxtXN5URERETkmKoSvP4GfAvkG2MOGWMyjTGHqrkvERERkdNOVa5cH+qJRkREREROd1W5gOrsquwTEREREdeczngZYwKBYKC+MaYupVetB6gDRHmgNxEREZHTiqtTjX8D7gGaAMv5M3gdAt6o3rakuuzZvY+83HyimjUiICDArWPv3rWHPTv3EhAcSJu2MQQFB7msz8zMYv+eZOpHRhAeEebWXkRERGoip8HLWvsq8Kox5k5r7ese7EmqyW8zF/Dg7U+Sn1/AlddfzO333Ujt0BC3jJ2wIZG5Mxbw03czaBLVkFHjhjH64pH4+Tn+LbY1cQevPv8u8+cupkv3Dvz9H7fQpUdHt/QiIiJSUx1zjZe19nVjTD9jzBXGmGsO/+eJ5sR90lLSefz+58jPLwDg84++Y8Wy1W4bf92qjbz96kR279zD0kUrWbF0NTu27nZaP2v67/w28w+KCotYsXQ1s6b/7rZeREREaqpjfqvRGPMpcBYQDxSX7bbAJ9XXlrhbcXExBQWFFfYVFRa5bfzCgiJKSkrKt/PzCykuLnZRX1BhuyC/wEmliIjI6aMq1/GKBfpba2+z1t5Z9t9d1d2YuFf9BvV46Ik7OHwd3MHD+tO1Zye3jd+6XUsuu2YcPj4+NGrSgL79e9A8pqnT+oFD+9G2YysAGkc3ZNCw/m7rRUREpKYy1lrXBcZ8C9xlrd3rmZYqi42NtXFxcd46/GmjpKSEdas3kpuTS5t2Z7l9Qfva+A3sSdpHYFAgHbu0pV79CJf1u3YksXNbEo2jGhDTuoVbexEREfEWY8xya22sw8eqELx+A7oBS4H8w/uttaPd2KNLCl4iIiJyqnAVvI65xgt40r3tiIiIiJyZqnLLoHnGmIZAr7JdS621B6q3LZGTs23zTr77agopB9MYM34kfQf09HZLIiIiVfpW46XAi8BcSi+i+rox5gFr7aRq7k3khBQVFfHf597mt5kLAJgz/Xe++PkdztI6MhER8bKqnGp8FOh1eJbLGBMJzAIUvKRGys8rYP2aTeXbubl5pB5MU/ASERGvq8rlJHyOOrWYUsXniXhFSO1gJlwztny7a8+OtIhp5r2GREREylRlxmu6MWYG8GXZ9gRgWvW1JHLyrrxhPK3atiQnK5duvToR2bCet1sSERGp0uL6B4wxfwEGlO1611o7uXrbEjk5QUGBDNZFWUVEpIZxGryMMa2AhtbaBdba74Hvy/YPMMacZa3d4qkmRURERE4HrtZq/Rc45GB/RtljIh6Tn5/PzKnz+OT9r1m+1H039xYREfEkV6caG1pr1xy901q7xhjTovpaEqls6o+zeeKB5wGoFVCL97/8D93ceK9JERERT3A14xXu4rEgN/ch4tLi+X/eMqogv4DEhK1e7EZEROTEuApeccaYm47eaYz5K7C8+loSqaxj13blPxtjiG7a2IvdiIiInBhXpxrvASYbY67kz6AVC9QCxlVzX3IKmjVtHp9/+B0tWzXj2psn0LxlU7eNPfov5+Hv78fuHXvo3qsLvfv3cNvYIiIinuI0eFlr9wP9jDHnAocX0/xirZ3jkc7klLJ+zUYeuP0piouLWb50Ff61/PnHU3e7bfzwiHAuv/YvbhtPRETEG6pyHa/fgN/cfWBjjC8QByRZay909/jiWZmZ2TSPiaZdx9bk5+VzYN9Bl/U52TksWbCC7Vt30ahxJP0G9SYsvI7TemstWxO3k5qSTrMW0TRsHOly/MKCQhI3biU3N49WbVq6HFtERMRTqnLl+upyN7AB0N+IR0hYl8jmjduIbt7E7d/a27dvP3ELV5GVlU2LmKb0HRDrsn5L4lbWrtqEj4+hW4+ONG0R7bTWz8+XG2+7koL8QkLr1OZgcgq5ObkEBVf+HkZKShrPPv4q9SMjqFOnNombtvHN5z/x5AsP0LxF5dOT2Vk5LPx9GdaWkHIwjczMbDauT2Tg0H4Oe9m75wDffPI9jaIakZubx7JFK+k7INbl+7k3aT+LF8Th5+vHOUP7EB4e7vK9ObD/IJs2bCEsLJRO3dpjjHFZLyIiAl4KXsaYaOAC4N/A373RQ020fMkqHrn3X+xNOkDt0BD+9co/GHLeOW4ZOy83j2k/zOG/z72DtZZ+g3pjjKFP/54O63ds3cUP30xn4rtfY4zhb3dfy6VXj6V+/bqVanOyc9mzex8zf5nL3FkLCQwM4OEn72LGL3MZe8n5lep/nfIbLWKaMv2nOezcvpuIeuFce/Nl/PL9LG77+/WV6pcuXEFWVjYv/fNNMg9l0bZDK26+8xoSN26jdduWlepnT5tLcO0Qnvm//2KtZcDgPgC0PKs5YeGhleoP7j/I//77MT98MxWAa2+ewC13X0tI7RCH782+Pft58M6niY9bi4+PD8+++hjnjx7qsFZERORI3rrZ9X+BB4ESLx2/Rlo0fxl7k0rvR56Vmc0fc5e6beydO5L46pPJWGsBWDhvKVsTd7is//T9b4HS03wT3/mKbYnbHdZu3byDrEPZzJ21EIC8vHym/jSLkJBAh/Vr4jeQk53Dzu27AUhNSWf3zj3M+XV+eX9HCg0LYeXS1WQeygJg4/rNbNywmYR1iZVq83LzMD4+fP3JD+Vj/TF3CYGBgWxJ3Oa4n9UJ5aEL4LMPJrHJxeUqVq9cT3zcWgBKSkp497VPKCwsdFovIiJymMeDlzHmQuCAtdblJSmMMTcbY+KMMXHJycke6s67QkJrV9gODXU843IiAgIDqBsRVr5tjCHExfiBgbUIrfNnPxH1w6kVUMthbVBwICGhwfj4/PnbqX79emQfynVYXzskmKCgiqcgg4KDiIgId3jKLjsnl5DawRX2hYaGEBRcOdj5+vlSVFhE3Xrh5ft8fHwIDglyeNoTIKR2CIGBAeXbdcJqE+KkFiA4pGIvDRpH4ufnzbP2IiJyqvDGjFd/YLQxZjvwFTDEGPPZ0UXW2nettbHW2tjISNcLqU8XIy88l3ETRhHZoB6Dh/dn5EVD3DZ28xbRXH3jpXTo3IaGjSO568Gb6N2/m9P6Xmf34P7/u41OXdvRtWdHbvv7jXTt0dFhbcuzmpGZkcm9j/yN1m1jGDSsHwOG9CWqRROH9X0H9mLLpm1ccsVFNGsRxfmjh5KVlc1IJ6fr6oSG0j22C8NGDqRZiyiu/usltGrb0mE//v7+NGzcgAlXj6V9p9Y0bBzJnQ/+lT1J+2nVpvJpSYDeZ3fnwSfupFmLKGJaN+f+/7udNh1auXhvunHPw38jvG4Ynbu1564HbtIaLxERqRLj6NSOxw5uzGDg/mN9qzE2NtbGxcW5KjltWGtJS00nvG5YhRkkd9mxdRd5efk0axlNUJDjU4FHOrD3ANbHh4YN67usS0vNYO6v84lsFEl2Vg5h4aFOF++XlJTw03cz+PbzH4lu1oRd2/cw8qIhTLhmDAEBAQ6fs2TBcmrXqU1BXgEYqF07hNbtYhzWFuQX8NvMP9ibtB9fPz98jGHY+YOO+U3IA/uS8fPzI8LBOrajWWvJSD9EQGBAld5HERE5cxhjlltrHf4lqOAlXpOWlsHe3fuJbFiPyAb1jllfUlJCQX4BgVUMOoWFRRQXF1c4jSgiIlLdXAUvry5MsdbOBeZ6swfxnrp1w6hbN+zYhWV8fHyqHLoA/P398PfX2isREak5vPWtRhEREZEzjoKXiIiIiIcoeImIiIh4iIKXiIiIiIcoeImIiIh4iIKXiIiIiIcoeImIiIh4iIKXiIiIiIcoeImIiIh4iIKXiIiIiIcoeImIiIh4iIKXiIiIiIcoeImIiIh4iIKXiIiIiIf4ebsBOX3Mm72Q5YtXUSc8lFFjh9EkqpHL+pnT5rFxXSLNWzZl5Ogh+Pv7O609cCCZXybPInnfQdp1bM3o8SNdjp2efoj5cxaTk51Dr7O7E9Oqucv6jesTmTd7EX5+fgwZcQ4tYpq6rBcRETkRCl7iFov/WM5Ddz5NTnYuADu27ebpFx/CGOOw/tdf5vLwXU9TVFQMQH5+AeOvuMjp+N9+9jPvvDoRAD8/X4yP4aK/jHBYa63l/Tc+5ZP3vgGgeUxT3vnsJadBcN+e/fzrsf+wavk6AOLj1vLv/z5CaGjtKrxyERGRqtOpRnGLhPWJ5aELYMG8JaSlZjitX79mY3noAkhYt8nl+HGL48t/LioqJjFhq9PazIxMpnz/a/n2jq272Lltt9P6HduTykMXwO9zFrE3ab/LfkRERE6Egpe4RXSzJtQKqEWrNi2JbFCPdh1aExYe6ry+eZMK202iG7scv027mArbjaMaOq0Nrh1Mzz5dy7drh4YQ2TDSaX3DRvVp0vTP2bD2nVoTUS/cZT8iIiInQqcaxS3OHd6fux+8iZ++m0HHru247Oqx+Pr6Oq2/cOxwCvILSVi3ieYtmzL6EtdrtsZccj7+tfzZuT2JHr06c8G485zW+vn5cc9Df6Ndx9ZkpB/i3PMGcFZr52u8WsQ044lnH+C3X//Az8+XoecPpH5kvWO/aBERkeNkrLXe7uGYYmNjbVxcnLfbEBfi49Zy7fg7OPz76cK/nMcz/3nUy12JiIh4njFmubU21tFjOtUobpF5KJMjQ/yOrbs4FUK9iIiIJyl4iVu069iG3v16AODj48PVf73U6TcaRUREzlRa4yVuEdmwHs/+9zE2bthMnbDadO7WwdstiYiI1DgKXuI2kQ3rEdlQi9JFRESc0alGEREREQ9R8BIRERHxEAUvEREREQ9R8BIRERHxEAUvEREREQ9R8BIRERHxEAUvEREREQ9R8BIRERHxEF1AVbxm+9ZdbN+6k6joRrRud5a32xEREal2Cl7iFYkJW7n1mgc4sP8gwSFB/G/ii3Tv1dnbbYmIiFQrBS/xivjlazmw/yAAOdm5LFu88pjBq7CgkNzcfELrhFTLDbizs3IwxhAcEuT2sWuK/fuSWbpwBWvjN+Dn50fXnp2IPbsbERHh3m5NROSMoOAlbpGaksHSBXHUr1+XjMwsQuuE0vvs7k7rGzSqz/2P3UrzmGYk7z9IrYBaTmuLi4uZ/tNsFi9cTkREOJmHMjl/9HB6uRgfICM9g4L8omPeP3LvngP88v0M1q3ZiLWW2D7dOH/MMOrVr+vyedbaKgfAvNw8Ug6mElY3nNq1g6v0HHfbvnUn/7jn36xblVC+79MPvmXgkLP5v2fuo2HjSK/0JSJyJlHwqmaL/1jO3FkLqB8ZwQVjh9M4qqHbxk5NTWfKdzPYuH4z/Qf3Yfiowfj7u+8jnTtzAfNmL8THGM4dcQ4DBvdxWFdYWET8ijUkH0jhlx9mEVE/nLMHxPLHvCUMGOT4OUVFRfzyw2w2rN1EdLPG3PngTU6DzPSfZpOVlU0tP39Wr1xPn349mDd7ISG1g+nQua3D8af9NJs5v84nPTWD4aMGM2zUQCIiKgep/PwCXn3uHXr07kJKchr+tfwJCAzg3Tc+4aHH78THp/L3TwoKCvnuy5+ZP2cxDRs3YMSF59J3QE+n72PcongWzF/KulUbadMuhrMH9qT/oL5O6/fvS+b7r6awccMWho44h5EXDsG/lr/T+uk/z2b2tPmkp2dw3oXncskVox3WffPZTxVC12G/z1nEjClzuOamCZUeKykpYfb035n20xyatYhi/BUXEd2sidNeRETENQWvarQpYQt33fgP8vLyATh4IIWHn7rbbeP/MnkmL/3rLQB+/v5X6tSpzYBznf+FfjwSN27hP8+9w7bNOwDYuGEzLVpGE908qlLtulUbSDmQyn+ee4eiwiIADqVncsWN4x2OnXwghSnf/cqGtZsA2L1zL++/+Tmt2sTQum3LCrWFBYUsnB9HYGAg337xMwDLl6zmvkdv5fffFjsMXutXb2Liu1+zfs1GAFYsW0NwSBAXjjvPQW0C3WI78fK/3iI3N6/0tSds5a+3X8Xmjdto077yov9ff/mN5598nZKSEgAy0jLo2buL03C0fNkqPnjzcwAW/xFHrYBa9Okfi5+f4//9Jn3xM++8OhGAOdPnExZeh4FDznZYuyVxOx/+7wsS1m0GYGXcWmrXDuH80UMr1O3euYdvPvvR4RgAn30wiTGXjiIsLLTC/hXLVnP/bU9irQUgPe0QTz7/gNNxRETENV1Oohod3J9SHrqg9C/Fw3+BucPhUHTY3j0H3DZ2WmpGhfETE7aRmprhsDblYDoHD6SWhy4o/caij5PTcIcyMklYn1hh3+aErWRnZVeqzcvLp25EGNu37Kyw/2ByKhmphxyOn5WVxdbE7eXbhQWFHDyQ4rA2LTWDgvyC8tAFkJ6WQUCAP2lp6Q6fs2/PgfLQBZC4cSvZ2TkOawFSklMrbCcfSCErs/JrPSxhbcX3Zv9e559rRtohtiT++TkV5BeQ7OC1ZmflUJBf4HScA/sPkpudW3n/3oMVfs+uWr6WoqKiSnUiIlI1Cl7VqGWr5rRpF1O+PfbS8926KPzI01vBIUG079TGbWM3bdaEISMGlG8PGTGAqKaNHNa2OKspLWKiK6wR6t2/B1mZlf8iB2jYOJIhIwZW2Dfs/IE0atygUm3t0BByc3Po1e/P9Vy1AmoR06o5zVpWnn0rHb8+g4b3q3C8pg5m6gCatYgiOzuH5i2jy/d17NqOnTuSaNrM8XPadWhFRL3w8u1Bw/pR56iZoiO1ahuDn58vAMYY2rSLIbxumNP6Yef/+d4EBbv+XKObN+bcYf3LtxtHNaR5i+hKdfUjI4hs4HytW9ceHQmrW6fS/jbtz6rwWsdeer7TmToRETk2484ZmOoSGxtr4+LivN3GCdm1I4lVy9dRJzyUPv17EBAQ4Laxi4uLWbpwBXuT9tO2Q2s6dnG83ulEbUrYwsJ5y/D19WHA4D60bNXcae2s6fPIy81n4/ot1AkL5azWzYhuFuXwVB3A6hXr+G3mApYsWE6nbu0ZMnwAfc+JdVi7bFE8c2f+QYNGkSQfOEhM6xYsnh/HvY/cSuMmlcMawKL5y4hfvo7c7Fw6dWvP8FGDHIZeay0T3/0KX19f9u9NxsfPl9DaIUQ2qsfYS0Y5fb2/zVzA6pXrqFs3jOGjBrtcu3dgXzLzZi9ix7bdRDVtRJ/+PYlx8V4W5BewcP4y9u9LpkOntnTu1t5pLcDypatYunAFuTl5dO3RkaEjBzqs+3LiZJ59/L8OH3vhjccZedFQh48lrNtc+lrrhTNgUG+Cgk/fb32KiLiDMWa5tdbhX2oKXuIW1lrWrd5IYsJWQkJD6NGrM/UjI1w+Jy8vn/TUdELr1CakdojL2g1rNzF/ziLS0w7RtEUUQ84bQEMHM2QnoiC/gGWL4olfsRY/X1+69+pMzz5d8fX1dcv4NcWhjEw+evtLPn7nK4qLi4HS2cO7HryJCVePces/CkREzmQKXiIClH5LcdOGLWxK2Iqvrw/tO7VxOfsmIiLHz1Xw0mINkTOIj48P7Tq2pl3H1t5uRUTkjKTF9SIiIiIeouAlIiIi4iEKXiIiIiIeouAlIiIi4iEKXiIiIiIeouAlIiIi4iEKXiIiIiIeouAlIiIi4iEKXiIiIiIeouAlIiIi4iEKXiIiIiIeouAlIiIi4iEKXiIiIiIeouAlbpWbk0dxcXG1jL1zRxKrV6wjNSW1SvX79yWza0cShQWFx6wtLi4mfvka1sSvP9k2vSIjI5ODyalYa90+dkF+AUm79pKWmu72sQEy0jJI2rWX/PyCahlfRKQmUfAStyguLmby178wbvi13HnDP0hM2OLW8X+fs4i/XnYPV427jYfu/CebNmw9Zv2YIVdzwcArePu1ieTm5jmtzc/P54O3PueGCfdw44R7+OzDSW7tvbotW7ySS8+/kQsHXcHXn/7o1uCbeSiT/zz7NqPOuZwJo25iZdwat40NsHbVBq6++A5GnXM5/3rkFVIOprl1fBGRmkbBS9xi3eqNPPnQi+zZvY8/5i7h84++d+v4X378Pfv2HABgyYIVzJ7xu9PalINp/OPuf5GTnQvAe69/yoqlq53W/z57MW++/CFFhUXk5eXzyjP/Y8nC5W7tv7pkZ+XwxAMvsDdpPznZuTzzf/9h3eqNbht/8R8r+Pyj77DWsm/vAV7655sUFRW5bfwP3vqC7Vt2Yq3lx0nTWDB3idvGFhGpiRS8xC3ycvMrnOZKTXHvzEVmZtZRx3M+g1VYUFhphisvL99pfW5OboXeiwqLyM91Xl+TFBYWknmo4nuT7+K1Hq+jx0pPO0RxcYnbxk9LSa+wnZvn/HMVETkdKHiJW3To3IZLrxoDQEjtYK66Ybxbx//LhAvw8/cDILJBPfqd08tpbYNG9bnnoZvLt88+J5Yu3To4re/WsxPnXTC4fHv8laPp1LX9yTftAeF1w7j/sdswxgAwZvz5tOvU2m3j9+jdhc7dSt8LX19f7nzgRgICarlt/Otvubz8c41p1Yw+Z/dw29giIjWRqY7FuO4WGxtr4+LivN2GHENOdi47t++mdmgI0c2auH38+XMWs2/vAdq0P4uuPTq6rC0sKGTVinXk5uTSvlMb6jeo57J+2+YdLF24El8/X84ZcjYNG9V3Z+vVqqSkhIR1ieTl5tO6fQyhobXdOv7+vcls3rSNsLBQOnZtVx7y3GX92k2kpaTRslVzmkQ1cuvYIiLeYIxZbq2NdfiYgpeIiIiI+7gKXjrVKCIiIuIhCl4iIiIiHqLgJSIiIuIhCl4iIiIiHqLgJSIiIuIhCl4iIiIiHqLgJSIiIuIhCl4iIiIiHqLgJSIiIuIhCl4iIiIiHqLgJSIiIuIhCl4iIiIiHqLgJSIiIuIhCl4igLWWpF372Ldnv7dbERGR05ifpw9ojGkKfAI0BCzwrrX2VU/3Id61N2k/i+bHsXtnEpEN63P2Ob1oEdPU5XPS0zI4lJFJg0aRBAYGuK2XhfOW8suPM/l1ylx8fH0ZNWYYo8YOo1ffbm47RnXbsW0X+fkFNG/ZlICAWt5uR0REnPB48AKKgPustSuMMaHAcmPMTGvtei/0Uu1SU9PZsnEbIaEhdOjUxtvtsDdpP7k5eTRt3gT/Wv4ua3dt382KuLX4+PjQs08XmkQ1clqbeSiT6T//xvSfZtO0RRRjLx1Ft56dHNZuSdzOfbc8ztbNO8r31atfl9c+eJbO3dpXqi8pKWHGL3NJ2pFEWtohGjVpQPtOrYnt081pP8sWxZOelkF+Xh5hYXWIPbsbQcFBleoWzV/GA3c8ReahrPJ93335M3/8tpiX/vcUXXt0dDj+ymVrWLViHXUjwjh7YG8aNKzntJeSkhJmT/+dzRu30bxFNEPOH+i24JiaksbEd77i0w8nUVRYRP9Bvbn3H7fQpv1ZTp+TfCCFVcvX4evnQ8/eXakTFuqWXk7Upg1bSE1Jo0VMMxo1aeDVXo7X5o3b2L1rD1HRjWjdzvl7LiJymMeDl7V2L7C37OdMY8wGIAo47YJXSnIqTzz0Ar/PXoSvry/PvvoYIy8a4rV+Fv+xnHtufpSc7Fxuu/d6brj1Cmo5mR3Zm7SP99/6gslf/wLAFdf9hRvvuIrISMcB44dvpvHiP98EYNnieH79ZS6f/fA/Ylo1r1T747fTKoQugJSDaXz09pe88Mbj+PlV/G25bNFKtmzcxruvfwJArYBa3HHfjbSIaUb9yIhK429Ys4ltW3bw8r/eIjc3j0uuGgMGzhlydqXaWdN+rxC6Dtu/L5l5sxY6DF5LFi7n1qsfoKioGIDhowbz7/884jRM/fDNNJ7+x0uUlJQA8GDanVx1w3iHtcdr2k+z+eidr8q3F8xbSnFxMa998KzDflIOpvF/9z3Lwt+XATD20vN56Im7CKkd7JZ+jtcfc5dwz82PUZBfQJsOrXj5rado3jLaK70cr/i4Ndx+/cNkHsoiKDiINz9+zuU/BkREwMtrvIwxLYDuwBJv9lFdVsev5/fZiwBK/zJ84T3y8vK91s+H//ucnOxcAN76z0dsSdzutHbd6o3loQvgy4mT2bRus8PanOwcvvz4+wr7sjKzWb2icpbOyszil8kzHY4ze/rv7NtzoNL+g8mpfP/1lPLtgvwCtm/dybrVGxyOk5mVxfdfTSE3Nw+Abz/7keTkVKy1lXqZO3OBwzEAFsx1/Nty0e9x5aELYObUuWzeuM3pOLNnzC8PXQDffzmF7Kwcp/VVVVhYxPdf/VJp/+I/lrN9y06Hz1m/ZmN56ILSUHh0CPakzz74loL8AgA2rd9M3OKVXuvleM2bs7g8tOfm5DJr6jwvdyQipwKvBS9jTG3gO+Aea+0hB4/fbIyJM8bEJScne75BNwg4asahbkQYvr6+Xuqm9HTeYX7+fi7XAgUGBlaYDQsKDnQ6O+br50doeOXTVYFBlWdcfH39nM6u1KrlX2m2C0oXvofWCT2qthaBgYEOxzEY6oTVKd/28/cjKDAAY0ylXgIc9HhYUEjlU5MAwUft9/X1rfRZH6n2Ua83LDwUP/+T/33g6+tDeN0wB/t9qVXL8Wd19GdujDnmKefqVDcivMJ2YJDjz7QmCjrq907t0Npe6kRETiVeCV7GGH9KQ9fn1trvHdVYa9+11sZaa2MjIyM926Cb9OjVhTvu/yu1AmrRtHkTHnj8Dvz9vbGsrtR1t1zBoGH9aN02hhffeIKY1i2c1naN7cit91xHRL1wIhvU4/a/30Cnru0c1gYE1OKm26+qEGzadWxNj16dK9UGBQcy/sqLqB0awvgrLmLUmGGMv+IiGjSsz/grRztc49Om3Vn8ZcKo8sDTIqYpTaIb0alr5fVgAA0aRXLBuOH06N2FFjFN+fs/biGifuVTkkHBgZw/epjT92DwsH4O9w8a2o/GUQ3Lt2/7+/Wc1bryKdXDRlw4hPoNSo8fWqc2l149loCAk1/j5ePjw6VXjam0/9KrRtPiLMdfVOjSoyN/u/va8uc/+q97adMu5qR7OVHX3HQpbTu0wsfHh/FXXET/gb291svxGj5qMD16dQGgU9d2nD96qJc7EpFTgTn69Eu1H7D0b+eJQKq19p6qPCc2NtbGxcVVa1/Vpbi4mNSD6QQEBlAnzPv/IrbWUlRUXKUAmJeXT2LCFnyMD63bxTid8YLSBeTLl6xiTfwGwuvWoc+AnkRFN3ZYm3Iwje+/+oU3X/6g/BTcX2+/ir9cdgHRzZo4fM7yJavYsW0XGemZ1K0XRs/eXWnaPMppP9u27CR5fzK2BAKDg+jao4PDuo0btvDkg8+zbvXGCvvPPieWR/91L81aOF5vtH/PATasSyS8bhgdOrdx+d4AbE3czqYNW2jWMpoOndu6rD0eBfkFzPn1D76c+D2pB9P4y2UXcuG484h0sdi/sKCQHdt34+vrQ/OWTfHx8e5VZTIzs8jOzCGiXvgx38eaJvNQFqkH06hbL9zrX1IQkZrDGLPcWhvr8DEvBK8BwHxgDXB44csj1tqpzp5zKgcvcezzDyfx/FOvl2/fdOfV3Hn/X73Sy7bNO/l9zkJWLFuDr58vPXp1YfCwfk5DYE1UWFhEcXGxWy+zISIiJ8ZV8PLGtxr/AMwxC+W0dlbblvj4+JTPeLXx4lfxW7ZqRstWzbj25su81sPJ8vf38+ppbBERqRr9SS1e0adfD9746Dk2rt9M85bRDHRwqQcREZHTjYKXeIUxhgGD+zBgcB9vtyIiIuIxulejiIiIiIcoeImIiIh4iIKXiIiIiIcoeImIiIh4iIKXiIiIiIcoeImIiIh4iIKXiIiIiIcoeImIiIh4iIKXiIiIiIcoeImIiIh4iG4ZJAKUlJSwN2k/xsfQuElDjNF93EVExP0UvOS0dSgji4L8fOo3qOeybu2qDXz58WSWLFhOiS1h8PABXHbNWNq0O8tDnYqIyJlCpxrltFNcXMy0n2Zx6agbGXXO5bz2wnscTE51WLslcTsP3fk0zVtG07ZDKzp360CDhvV48M6nSdq118Od10yrVqzjk/e/4afvZpCRnuntdkRETmma8ZLTzqrl63j4rn9hrQXg/Tc/I6J+Xa66YXyl2gVzl3L+mGH8778fU1xcDMDCeUu5/PqLWbpwBeMmXODR3muatasSuPmKv5ObmwfAjbddwd0P/c3LXYmInLo04yWnnU0JW8pD12FzZsx3WLt+zUays3LKQxdAfn4BtriEnduTqrXPU8GmDZvLQxfAT5NmkJWZ5cWORERObZrxktNOg0b1K+3r2KWtw9rG0Y3w9am8kD4wKJDaoSFu7+1UE9mw4nvZoUtbgoKDvNSNiMipTzNectrp1bcbF19xUfl2y1bNuegvIxzW9hvYi9/nLOaya8fhX8ufoKBArr/lcqb+OIteZ3fzUMc1V9/+PXnqxYfo3L0DYy8dxT0P/w1fX19vtyUicsoyR5+SqYliY2NtXFyct9uQU0h+fgEb1mwiNyeXth1bEVGvrsM6ay3TfpzNay++R/9BvSkqKmLpghU89ORdDB7e38Ndi4jI6cAYs9xaG+vwMQUvEdizex8J6zfj6+ND+05tHJ6uFBERqQpXwUtrvESAJtGNaBLdyNttiIjIaU5rvEREREQ8RMFLRERExEMUvEREREQ8RGu8RIDlS1cx9YdZ+Pn5ctHFI+jUtb23WxIRkdOQgpec8RITtnLH9Q+TnZUDwOzp85n43RtENW3s5c5EROR0o1ONcsZL2r23PHQBHNh/kL17DnixIxEROV0peMkZr3FUQwIDA8q360aE01DX8RIRkWqgU41yxmvbvhWvffAs33z2I7Vq+XPZteNo2jzK222JiMhpSMFLBOg7oCd9B/T0dhsiInKa06lGEREREQ9R8BIRERHxEAUvEREREQ9R8BLxgIL8ApIPpJCbm+ftVkRExIu0uP4Ms3P7bnJy8og5qxm1Amp5ux2yMrMIDgnGx+fY/wZIS00nLSWdxtGNCAoKdFsPmZlZzJu5ELBQYvEPqMXAYf3cdow/5i7hk/e+ZsWyNbTr0Irr/nYZg4f3x89P//uJiJxpNON1higsKOTzj77j4vOu59Lzb+TBu55m9649bj1G3OJ4Xn/xfT77cBLJ+w+6rN235wAv//stxgy5hicffIFtm3e6rF80fxmXXXgzY4ddyz03PcrmTdvc0rO1lqk/zCTlYCrvvvEZH733Nakp6fw6Za5bxl+yYDl33vAPFv+xnIL8AlavXM/fb3mc32cvcsv4IiJyalHwOkOsXZ3A80++Rn5+AQBzps9n9rTf3TZ+YsIWbr/+Yd5741NeeOp1vvj4e5f1U3+cxcR3vyb5QAo/fDuNTz/4Bmutw9qDyak89vdn2Zu0H4BF8+P4+pMf3NL3lk3bAcMrz7zN9i07SUzYysvP/I+ioiL2JO076fF/+WEWxcXFlfZ/8fH3FBQUnPT4IiJyalHwOkMcDi1HStzonlkjgH17k8nNyS3fXrpopcv6Nas2VNheND+uPBQeLXl/CskHUirsW7poJUVFRSfY7Z9SDqZyMDm1QugryC8oO62ZcVJjW2tZtzrB4WObNmwhJ1vrvUREzjQKXmeIs1q3wM+/4pqi7rGd3TZ+i5imRDX786bSo0YPdVk/YFDvCtujx4+scNueI0U3a0zbDq0q7Dt/9BC3rJGKatqYxlENK6znqhsRRv3ICBo1aXBSYxtj6Dew9HW2atOSUWOG0bFLOwD6nhNLaJ2QkxpfREROPcbZ6Z2aJDY21sbFxXm7jVPe3FkLeOvlD9m/L5mr/3op468cTXh4HbeNvyVxO/FxawivG0a/Qb1dLk7Pysxm1rR5LFscT4fObRhx4RDqR0Y4rV+/ZiOfvPcNK5at5qKLR3DpVWNo2CjSLX3/Mnkm2dk5xMetxdfPh649OhFRL4whIwae9NjrVm/knVcnknkok+VLV9O+Uxuimzbm8uv+QmzfbiffvIiI1DjGmOXW2liHjyl4nVlyc/LIzy8gvK77ApenlJSUkJeXT3BwkFvHLSoqYuWyNezckQQllrPatqRrj44YY9wy/ifvf8NL/3yzfPvWe67j1nuvd8vYIiJS87gKXvo++xkmKDiQoGD3XYrBk3x8fNweugD8/PzodXZ3ep3d3e1jAwQcddmOo0/5iojImUNrvESq2YDBfejVtzTUte3QmiHnDfByRyIi4i36p7dINYtq2phX3v0nB/cfpG79ukREhHu7JRER8RIFLxEPCAsLJSws1NttiIiIl+lUo4iIiIiHKHiJiIiIeIiCl4iIiIiHKHiJiIiIeIiCl4iIiIiHKHiJiIiIeIiCl4iIiIiHKHiJiIiIeIiCl4iIiIiHKHiJiIiIeIiCl4iIiIiHKHiJiIiIeIiCl4iIiIiHKHiJiIiIeIiCl4iIiIiHKHiJiIiIeIix1nq7h2MyxiQDO7zdh4fVBw56uwlxO32upyd9rqcffaanJ099rs2ttZGOHjglgteZyBgTZ62N9XYf4l76XE9P+lxPP/pMT0814XPVqUYRERERD1HwEhEREfEQBa+a611vNyDVQp/r6Umf6+lHn+npyeufq9Z4iYiIiHiIZrxEREREPETBy8uMMR8aYw4YY9YesS/CGDPTGJNY9mtdb/Yox88Y09QY85sxZr0xZp0x5u6y/fpsT2HGmEBjzFJjzKqyz/Wpsv0tjTFLjDGbjTFfG2NqebtXOX7GGF9jzEpjzJSybX2upzhjzHZjzBpjTLwxJq5sn1f/HFbw8r6PgZFH7XsYmG2tbQ3MLtuWU0sRcJ+1tgPQF7jdGNMBfbanunxgiLW2K9ANGGmM6Qs8D/zHWtsKSANu9F6LchLuBjYcsa3P9fRwrrW22xGXkfDqn8MKXl5mrf0dSD1q9xhgYtnPE4GxnuxJTp61dq+1dkXZz5mU/mEehT7bU5otlVW26V/2nwWGAJPK9utzPQUZY6KBC4D3y7YN+lxPV179c1jBq2ZqaK3dW/bzPqChN5uRk2OMaQF0B5agz/aUV3Y6Kh44AMwEtgDp1tqispLdlIZsObX8F3gQKCnbroc+19OBBX41xiw3xtxcts+rfw77efJgcvystdYYo6+enqKMMbWB74B7rLWHSv8RXUqf7anJWlsMdDPGhAOTgXbe7UhOljHmQuCAtXa5MWawl9sR9xpgrU0yxjQAZhpjEo580Bt/DmvGq2bab4xpDFD26wEv9yMnwBjjT2no+txa+33Zbn22pwlrbTrwG3A2EG6MOfwP2WggyVt9yQnpD4w2xmwHvqL0FOOr6HM95Vlrk8p+PUDpP5R64+U/hxW8aqafgGvLfr4W+NGLvcgJKFsf8gGwwVr7yhEP6bM9hRljIstmujDGBAHDKV2/9xswvqxMn+spxlr7D2tttLW2BXAZMMdaeyX6XE9pxpgQY0zo4Z+B84C1ePnPYV1A1cuMMV8Cgym9Y/p+4AngB+AboBmwA7jUWnv0AnypwYwxA4D5wBr+XDPyCKXrvPTZnqKMMV0oXYzrS+k/XL+x1j5tjImhdKYkAlgJXGWtzfdep3Kiyk413m+tvVCf66mt7PObXLbpB3xhrf23MaYeXvxzWMFLRERExEN0qlFERETEQxS8RERERDxEwUtERETEQxS8RERERDxEwUtERETEQxS8RMQtjDFjjTHWGOPVK7kbY7oZY0YdsT3aGOP0JrjGmOuMMW84eWzq4et2uXj+3LLbQomIHJOCl4i4y+XAH2W/usURVw0/Ht2A8uBlrf3JWvvciRzfWjuq7Ar1IiJuoeAlIiet7J6UA4AbKb3y9+H9g40xvxtjfjHGbDTGvG2M8Sl7LMsY8x9jzDpjzGxjTGTZ/rnGmP8aY+KAu40xPY0x88pucjvjiFt9zDXGPG+MWWqM2WSMOccYUwt4GphgjIk3xkw4ckbLGHOJMWatMWaVMeb3I15CE2PMdGNMojHmhSP6326MqW+MaWGMSTDGfG6M2WCMmWSMCS4rSwWKy26e/XHZ+GuMMfc6eJ8uMsYsMcasNMbMMsY0LNsfaYyZWfZevG+M2WGMqV/22FVlrzHeGPOOMcbXTR+biHiBgpeIuMMYYLq1dhOQYozpecRjvYE7gQ7AWcBfyvaHAHHW2o7APErv2nBYLWttLPAa8Dow3lrbE/gQ+PcRdX7W2t7APcAT1toC4HHga2ttN2vt10f1+TgwwlrbFRh9xP5uwASgM6WhramD19gWeMta2x44BNwGYK39i7V2V9kYUdbaTtbazsBHDsb4A+hrre1O6RXRHyzb/wSlt6npCEyi9IraGGPal/XV31rbDSgGrnQwroicIhS8RMQdLqc0SFD265GnG5daa7daa4uBLymdGYPSWykdDkafHbGfI/a3BToBM40x8cBjlN6s+LDDNx9fDrSoQp8LgI+NMTdRetufw2ZbazOstXnAeqC5g+fustYucNIvwFYgxhjzujFmJKXh7GjRwAxjzBrgAaBj2f4BlL1/1trpQFrZ/qFAT2BZ2esfCsRU4XWKSA11IusnRETKGWMigCFAZ2OMpTTQWGPMA2UlR9+XzNl9yo7cn314eGCdtfZsJ885fN+8Yqrw55m19hZjTB/gAmD5ETNzR95/z9lYLl+HtTbNGNMVGAHcAlwK3HDUc14HXrHW/lR2T8Anj9GyASZaa/9xjDoROUVoxktETtZ44FNrbXNrbQtrbVNgG3BO2eO9jTEty9Z2TaD0dBuU/vkzvuznK47Yf6SNQKQx5mwAY4y/Maajg7ojZQKhjh4wxpxlrV1irX0cSAYcnVJ0ptnhPhz1W7Ymy8da+x2lM3M9HIwRBiSV/XztEfsXUBrUMMacB9Qt2z8bGG+MaVD2WIQxxtFsnIicIhS8RORkXQ5MPmrfd/x5unEZ8AawgdJAdrg2m9JQtpbSGbOnjx64bM3WeOB5Y8wqIB7od4x+fgM6HF5cf9RjL5YtfF8LLARWHfvlldsI3G6M2UBpMPrfUY9HAXPLTgl+BjiapXoS+NYYsxw4eMT+p4Dzyvq6BNgHZFpr11Ma4n41xqwGZgKNj6NnEalhjLXOZv1FRE5O2em0+621Fzp4LMtaW9vjTZ2Asut0TbHWdqqm8QOAYmttUdms2v/KFtOLyGlGa7xERLyvGfBN2enYAuAmL/cjItVEM14iIiIiHqI1XiIiIiIeouAlIiIi4iEKXiIiIiIeouAlIiIi4iEKXiIiIiIeouAlIiIi4iH/D2xnzwfPcPj1AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.scatterplot(\n",
    "    x='a_age',\n",
    "    y='length',\n",
    "    size='annual_salary',\n",
    "    data=contracts_zoom_df,\n",
    "    hue='a_gender'\n",
    ")\n",
    "\n",
    "ax.set_xlabel('Apprentiship\\'s age')\n",
    "ax.set_ylabel('Contract length (years)')\n",
    "\n",
    "fig = ax.get_figure()\n",
    "fig.set_size_inches(10,8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig.savefig('figures/plot2.png', dpi=300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1293c5720>"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.lmplot(\n",
    "    x=\"a_age\",\n",
    "    y=\"length\",\n",
    "    data=contracts_zoom_df,\n",
    "    fit_reg=False,\n",
    "    col='corporation',\n",
    "    col_wrap=2\n",
    ")\n",
    "ax.set_xlabels('Apprentice age')\n",
    "ax.set_ylabels('Contract length')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x12d5a1ea0>"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 774.625x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.lmplot(\n",
    "    x=\"a_age\",\n",
    "    y=\"length\",\n",
    "    data=contracts_zoom_df,\n",
    "    fit_reg=False,\n",
    "    col='corporation',\n",
    "    hue='a_gender',\n",
    "    col_wrap=2\n",
    ")\n",
    "ax.set_xlabels('Apprentice age')\n",
    "ax.set_ylabels('Contract length')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Controlling aestethics with seaborn\n",
    "\n",
    "See this tutorial http://seaborn.pydata.org/tutorial/aesthetics.html"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.0"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": false,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {
    "height": "calc(100% - 180px)",
    "left": "10px",
    "top": "150px",
    "width": "288px"
   },
   "toc_section_display": true,
   "toc_window_display": true
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}