EDA Employee Reviews - Google, Amazon, Apple and Microsoft.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# EDA: Google, Amazon, Apple and Microsoft Employee Reviews\n",
    "\n",
    "In this notebook, I will do some exploratory data analysis on [employee reviews](https://www.kaggle.com/petersunga/google-amazon-facebook-employee-reviews) data for some of the top tech companies in US and see if we can uncover any interesting trends.\n",
    "\n",
    "The idea is to first start with some simple summary statistics, then move to visualizing some of the data in order to get better context. At end, we will explore the reviews themselves to figure out what people are saying about each company."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from datetime import datetime\n",
    "import re\n",
    "import nltk\n",
    "#nltk.download(\"stopwords\") \n",
    "from nltk.corpus import stopwords\n",
    "from nltk.stem.porter import PorterStemmer\n",
    "from nltk.stem.wordnet import WordNetLemmatizer\n",
    "#nltk.download(\"wordnet\")\n",
    "from nltk.tokenize import RegexpTokenizer\n",
    "from wordcloud import WordCloud"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Getting the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>company</th>\n",
       "      <th>location</th>\n",
       "      <th>dates</th>\n",
       "      <th>job-title</th>\n",
       "      <th>summary</th>\n",
       "      <th>pros</th>\n",
       "      <th>cons</th>\n",
       "      <th>advice-to-mgmt</th>\n",
       "      <th>overall-ratings</th>\n",
       "      <th>work-balance-stars</th>\n",
       "      <th>culture-values-stars</th>\n",
       "      <th>carrer-opportunities-stars</th>\n",
       "      <th>comp-benefit-stars</th>\n",
       "      <th>senior-mangemnet-stars</th>\n",
       "      <th>helpful-count</th>\n",
       "      <th>link</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>google</td>\n",
       "      <td>none</td>\n",
       "      <td>Dec 11, 2018</td>\n",
       "      <td>Current Employee - Anonymous Employee</td>\n",
       "      <td>Best Company to work for</td>\n",
       "      <td>People are smart and friendly</td>\n",
       "      <td>Bureaucracy is slowing things down</td>\n",
       "      <td>none</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://www.glassdoor.com/Reviews/Google-Revie...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>google</td>\n",
       "      <td>Mountain View, CA</td>\n",
       "      <td>Jun 21, 2013</td>\n",
       "      <td>Former Employee - Program Manager</td>\n",
       "      <td>Moving at the speed of light, burn out is inev...</td>\n",
       "      <td>1) Food, food, food. 15+ cafes on main campus ...</td>\n",
       "      <td>1) Work/life balance. What balance? All those ...</td>\n",
       "      <td>1) Don't dismiss emotional intelligence and ad...</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2094</td>\n",
       "      <td>https://www.glassdoor.com/Reviews/Google-Revie...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>google</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>May 10, 2014</td>\n",
       "      <td>Current Employee - Software Engineer III</td>\n",
       "      <td>Great balance between big-company security and...</td>\n",
       "      <td>* If you're a software engineer, you're among ...</td>\n",
       "      <td>* It *is* becoming larger, and with it comes g...</td>\n",
       "      <td>Keep the focus on the user. Everything else wi...</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>949</td>\n",
       "      <td>https://www.glassdoor.com/Reviews/Google-Revie...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>google</td>\n",
       "      <td>Mountain View, CA</td>\n",
       "      <td>Feb 8, 2015</td>\n",
       "      <td>Current Employee - Anonymous Employee</td>\n",
       "      <td>The best place I've worked and also the most d...</td>\n",
       "      <td>You can't find a more well-regarded company th...</td>\n",
       "      <td>I live in SF so the commute can take between 1...</td>\n",
       "      <td>Keep on NOT micromanaging - that is a huge ben...</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>498</td>\n",
       "      <td>https://www.glassdoor.com/Reviews/Google-Revie...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>google</td>\n",
       "      <td>Los Angeles, CA</td>\n",
       "      <td>Jul 19, 2018</td>\n",
       "      <td>Former Employee - Software Engineer</td>\n",
       "      <td>Unique, one of a kind dream job</td>\n",
       "      <td>Google is a world of its own. At every other c...</td>\n",
       "      <td>If you don't work in MTV (HQ), you will be giv...</td>\n",
       "      <td>Promote managers into management for their man...</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>49</td>\n",
       "      <td>https://www.glassdoor.com/Reviews/Google-Revie...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0 company           location          dates  \\\n",
       "0           1  google               none   Dec 11, 2018   \n",
       "1           2  google  Mountain View, CA   Jun 21, 2013   \n",
       "2           3  google       New York, NY   May 10, 2014   \n",
       "3           4  google  Mountain View, CA    Feb 8, 2015   \n",
       "4           5  google    Los Angeles, CA   Jul 19, 2018   \n",
       "\n",
       "                                  job-title  \\\n",
       "0     Current Employee - Anonymous Employee   \n",
       "1         Former Employee - Program Manager   \n",
       "2  Current Employee - Software Engineer III   \n",
       "3     Current Employee - Anonymous Employee   \n",
       "4       Former Employee - Software Engineer   \n",
       "\n",
       "                                             summary  \\\n",
       "0                           Best Company to work for   \n",
       "1  Moving at the speed of light, burn out is inev...   \n",
       "2  Great balance between big-company security and...   \n",
       "3  The best place I've worked and also the most d...   \n",
       "4                    Unique, one of a kind dream job   \n",
       "\n",
       "                                                pros  \\\n",
       "0                      People are smart and friendly   \n",
       "1  1) Food, food, food. 15+ cafes on main campus ...   \n",
       "2  * If you're a software engineer, you're among ...   \n",
       "3  You can't find a more well-regarded company th...   \n",
       "4  Google is a world of its own. At every other c...   \n",
       "\n",
       "                                                cons  \\\n",
       "0                 Bureaucracy is slowing things down   \n",
       "1  1) Work/life balance. What balance? All those ...   \n",
       "2  * It *is* becoming larger, and with it comes g...   \n",
       "3  I live in SF so the commute can take between 1...   \n",
       "4  If you don't work in MTV (HQ), you will be giv...   \n",
       "\n",
       "                                      advice-to-mgmt  overall-ratings  \\\n",
       "0                                               none              5.0   \n",
       "1  1) Don't dismiss emotional intelligence and ad...              4.0   \n",
       "2  Keep the focus on the user. Everything else wi...              5.0   \n",
       "3  Keep on NOT micromanaging - that is a huge ben...              5.0   \n",
       "4  Promote managers into management for their man...              5.0   \n",
       "\n",
       "  work-balance-stars culture-values-stars carrer-opportunities-stars  \\\n",
       "0                4.0                  5.0                        5.0   \n",
       "1                2.0                  3.0                        3.0   \n",
       "2                5.0                  4.0                        5.0   \n",
       "3                2.0                  5.0                        5.0   \n",
       "4                5.0                  5.0                        5.0   \n",
       "\n",
       "  comp-benefit-stars senior-mangemnet-stars  helpful-count  \\\n",
       "0                4.0                    5.0              0   \n",
       "1                5.0                    3.0           2094   \n",
       "2                5.0                    4.0            949   \n",
       "3                4.0                    5.0            498   \n",
       "4                5.0                    5.0             49   \n",
       "\n",
       "                                                link  \n",
       "0  https://www.glassdoor.com/Reviews/Google-Revie...  \n",
       "1  https://www.glassdoor.com/Reviews/Google-Revie...  \n",
       "2  https://www.glassdoor.com/Reviews/Google-Revie...  \n",
       "3  https://www.glassdoor.com/Reviews/Google-Revie...  \n",
       "4  https://www.glassdoor.com/Reviews/Google-Revie...  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('Data/employee_reviews.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Cleaning and Transforming the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(67529, 17)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "amazon       39.138740\n",
       "microsoft    26.551556\n",
       "apple        19.176946\n",
       "google       11.578729\n",
       "facebook      2.354544\n",
       "netflix       1.199485\n",
       "Name: company, dtype: float64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Percentage of data points per company\n",
    "df[\"company\"].value_counts()/len(df[\"company\"])*100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>company</th>\n",
       "      <th>location</th>\n",
       "      <th>dates</th>\n",
       "      <th>job-title</th>\n",
       "      <th>summary</th>\n",
       "      <th>pros</th>\n",
       "      <th>cons</th>\n",
       "      <th>overall-ratings</th>\n",
       "      <th>work-balance-stars</th>\n",
       "      <th>culture-values-stars</th>\n",
       "      <th>carrer-opportunities-stars</th>\n",
       "      <th>comp-benefit-stars</th>\n",
       "      <th>senior-mangemnet-stars</th>\n",
       "      <th>helpful-count</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>google</td>\n",
       "      <td>none</td>\n",
       "      <td>Dec 11, 2018</td>\n",
       "      <td>Current Employee - Anonymous Employee</td>\n",
       "      <td>Best Company to work for</td>\n",
       "      <td>People are smart and friendly</td>\n",
       "      <td>Bureaucracy is slowing things down</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>google</td>\n",
       "      <td>Mountain View, CA</td>\n",
       "      <td>Jun 21, 2013</td>\n",
       "      <td>Former Employee - Program Manager</td>\n",
       "      <td>Moving at the speed of light, burn out is inev...</td>\n",
       "      <td>1) Food, food, food. 15+ cafes on main campus ...</td>\n",
       "      <td>1) Work/life balance. What balance? All those ...</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2094</td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>google</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>May 10, 2014</td>\n",
       "      <td>Current Employee - Software Engineer III</td>\n",
       "      <td>Great balance between big-company security and...</td>\n",
       "      <td>* If you're a software engineer, you're among ...</td>\n",
       "      <td>* It *is* becoming larger, and with it comes g...</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>949</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>google</td>\n",
       "      <td>Mountain View, CA</td>\n",
       "      <td>Feb 8, 2015</td>\n",
       "      <td>Current Employee - Anonymous Employee</td>\n",
       "      <td>The best place I've worked and also the most d...</td>\n",
       "      <td>You can't find a more well-regarded company th...</td>\n",
       "      <td>I live in SF so the commute can take between 1...</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>498</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>google</td>\n",
       "      <td>Los Angeles, CA</td>\n",
       "      <td>Jul 19, 2018</td>\n",
       "      <td>Former Employee - Software Engineer</td>\n",
       "      <td>Unique, one of a kind dream job</td>\n",
       "      <td>Google is a world of its own. At every other c...</td>\n",
       "      <td>If you don't work in MTV (HQ), you will be giv...</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>49</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
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      "text/plain": [
       "   Unnamed: 0 company           location          dates  \\\n",
       "0           1  google               none   Dec 11, 2018   \n",
       "1           2  google  Mountain View, CA   Jun 21, 2013   \n",
       "2           3  google       New York, NY   May 10, 2014   \n",
       "3           4  google  Mountain View, CA    Feb 8, 2015   \n",
       "4           5  google    Los Angeles, CA   Jul 19, 2018   \n",
       "\n",
       "                                  job-title  \\\n",
       "0     Current Employee - Anonymous Employee   \n",
       "1         Former Employee - Program Manager   \n",
       "2  Current Employee - Software Engineer III   \n",
       "3     Current Employee - Anonymous Employee   \n",
       "4       Former Employee - Software Engineer   \n",
       "\n",
       "                                             summary  \\\n",
       "0                           Best Company to work for   \n",
       "1  Moving at the speed of light, burn out is inev...   \n",
       "2  Great balance between big-company security and...   \n",
       "3  The best place I've worked and also the most d...   \n",
       "4                    Unique, one of a kind dream job   \n",
       "\n",
       "                                                pros  \\\n",
       "0                      People are smart and friendly   \n",
       "1  1) Food, food, food. 15+ cafes on main campus ...   \n",
       "2  * If you're a software engineer, you're among ...   \n",
       "3  You can't find a more well-regarded company th...   \n",
       "4  Google is a world of its own. At every other c...   \n",
       "\n",
       "                                                cons  overall-ratings  \\\n",
       "0                 Bureaucracy is slowing things down              5.0   \n",
       "1  1) Work/life balance. What balance? All those ...              4.0   \n",
       "2  * It *is* becoming larger, and with it comes g...              5.0   \n",
       "3  I live in SF so the commute can take between 1...              5.0   \n",
       "4  If you don't work in MTV (HQ), you will be giv...              5.0   \n",
       "\n",
       "  work-balance-stars culture-values-stars carrer-opportunities-stars  \\\n",
       "0                4.0                  5.0                        5.0   \n",
       "1                2.0                  3.0                        3.0   \n",
       "2                5.0                  4.0                        5.0   \n",
       "3                2.0                  5.0                        5.0   \n",
       "4                5.0                  5.0                        5.0   \n",
       "\n",
       "  comp-benefit-stars senior-mangemnet-stars  helpful-count  year  \n",
       "0                4.0                    5.0              0  2018  \n",
       "1                5.0                    3.0           2094  2013  \n",
       "2                5.0                    4.0            949  2014  \n",
       "3                4.0                    5.0            498  2015  \n",
       "4                5.0                    5.0             49  2018  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df.drop(['link', 'advice-to-mgmt'], axis=1)\n",
    "df = df.loc[~df['company'].isin(['facebook', 'netflix']), :]\n",
    "df = df.loc[df['dates'] != 'None', :]\n",
    "df['year'] = pd.to_datetime(df['dates'], errors='coerce').dt.year\n",
    "df.dropna(how='all', inplace=True)\n",
    "df.dropna(subset=['company', 'year', \"overall-ratings\", \"job-title\"], inplace=True)\n",
    "df['year'] = df['year'].astype('int64')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Exploratory Data Analysis (EDA)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>company</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>amazon</th>\n",
       "      <td>26428.0</td>\n",
       "      <td>3.587294</td>\n",
       "      <td>1.257326</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>apple</th>\n",
       "      <td>12949.0</td>\n",
       "      <td>3.958221</td>\n",
       "      <td>1.064073</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>google</th>\n",
       "      <td>7819.0</td>\n",
       "      <td>4.339430</td>\n",
       "      <td>0.920695</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>microsoft</th>\n",
       "      <td>17930.0</td>\n",
       "      <td>3.816564</td>\n",
       "      <td>1.036499</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             count      mean       std  min  25%  50%  75%  max\n",
       "company                                                        \n",
       "amazon     26428.0  3.587294  1.257326  1.0  3.0  4.0  5.0  5.0\n",
       "apple      12949.0  3.958221  1.064073  1.0  3.0  4.0  5.0  5.0\n",
       "google      7819.0  4.339430  0.920695  1.0  4.0  5.0  5.0  5.0\n",
       "microsoft  17930.0  3.816564  1.036499  1.0  3.0  4.0  5.0  5.0"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby('company')['overall-ratings'].describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### A. Distribution of Reviews by Company"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "reviews_count = df['company'].value_counts().sort_values(ascending=True)\n",
    "comp_labels = reviews_count.index.tolist()\n",
    "comp_index = np.arange(len(comp_labels))\n",
    "sns.set(style=\"whitegrid\")\n",
    "\n",
    "plt.figure(figsize=(12, 9))\n",
    "sns.barplot(comp_index, reviews_count, palette=\"rocket\")\n",
    "plt.xticks(comp_index, comp_labels)\n",
    "plt.xlabel('Companyies')\n",
    "plt.ylabel('Number of Reviews')\n",
    "_ = plt.title('Distribution of Reviews per Company')\n",
    "#plt.savefig(\"Plots/distribution_reviews.png\", dpi=900)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Observations:** We can clearly see that Amazon has the most reviews (25,000+) and Google has the least amount (less than 10,000). "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### C. Reviews per Year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "years_count = df['year'].value_counts().sort_index(ascending=True)\n",
    "years_labels = years_count.index.tolist()\n",
    "years_index = np.arange(len(years_labels))\n",
    "\n",
    "plt.figure(figsize=(12, 9))\n",
    "_ = sns.barplot(years_index, years_count, palette='rocket')\n",
    "_ = plt.xticks(years_index, years_labels)\n",
    "_ = plt.xlabel(\"Years\")\n",
    "_ = plt.ylabel(\"Number of Reviews\")\n",
    "_ = plt.title(\"Reviews per Year\")\n",
    "#plt.savefig(\"Plots/distribution_reviews_year.png\", dpi=900)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Observations:** We can clearly see that most of the reviews come from the past 3-4 years. But this tell us if all the companies had the most reviews in the past couple of years. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### D. Reviews per year per company"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "'''\n",
    "fig, axs = plt.subplots(2,2, figsize=(12, 9), facecolor='w', edgecolor='k')\n",
    "companies = ['microsoft', 'apple', 'google', 'amazon']\n",
    "axs = axs.ravel()\n",
    "\n",
    "for i, company in enumerate(companies):\n",
    "    \n",
    "    years_count = df[df['company'] == company]['year'].value_counts().sort_index(ascending=True)\n",
    "    years_labels = years_count.index.tolist()\n",
    "    years_index = np.arange(len(years_labels))\n",
    "\n",
    "    _ = axs[i].bar(years_index, years_count, tick_label = years_labels)\n",
    "    _ = axs[i].set_xlabel(\"Years\")\n",
    "    _ = axs[i].set_ylabel(\"Number of Reviews\")\n",
    "    _ = axs[i].set_title(\"{}: Reviews per Year\".format(company.title()))\n",
    "    \n",
    "fig.tight_layout()\n",
    "'''\n",
    "\n",
    "fig, axs = plt.subplots(2,2, figsize=(12, 9)) #, facecolor='w', edgecolor='k')\n",
    "companies = [['microsoft', 'apple'], ['google', 'amazon']]\n",
    "#axs = axs.ravel()\n",
    "\n",
    "for i in range(2):\n",
    "    for j in range(2):\n",
    "    \n",
    "        company = companies[i][j]\n",
    "        years_count = df[df['company'] == company]['year'].value_counts().sort_index(ascending=True)\n",
    "        years_labels = years_count.index.tolist()\n",
    "        years_index = np.arange(len(years_labels))\n",
    "\n",
    "        g = sns.barplot(years_index, years_count, tick_label = years_labels, ax=axs[i][j], palette='rocket')\n",
    "        g.set(xticklabels=years_labels)\n",
    "        _ = axs[i][j].set_xlabel(\"Years\")\n",
    "        _ = axs[i][j].set_ylabel(\"Number of Reviews\")\n",
    "        _ = axs[i][j].set_title(\"{}: Reviews per Year\".format(company.title()))\n",
    "    \n",
    "fig.tight_layout()\n",
    "#fig.savefig(\"Plots/reviews_year_company.png\", dpi=900)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Observations:** Most of the reviews are from the past 3 years (not including 2019). There are reviews from as far back as 2008\n",
    "\n",
    "* Google: Most reviews from past 4 years\n",
    "* Apple: Most reviews from past 4-5 years\n",
    "* Microsoft: Most reviews from past 4-6 years\n",
    "* Amazon: Most reviews from past 2-4 years\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Based on the observations above, ee will only consider reviews from the past 4 years (2015-2018) since they might be the most relevant in figuring out what makes each company good or bad"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([2018, 2015, 2017, 2016])"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df[df[\"year\"].isin([\"2018\", \"2017\", \"2016\", \"2015\"])]\n",
    "df[\"year\"].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### E. Rating over time\n",
    "How has the average rating of each company changed over the past two years"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(15,9))\n",
    "df.groupby(['year', 'company'])['overall-ratings'].mean().unstack().plot(ax=ax)\n",
    "_ = plt.xlabel(\"Years\")\n",
    "_ = plt.ylabel(\"Overall Ratings\")\n",
    "_ = plt.title(\"Overall Ratings per Year\")\n",
    "#plt.savefig(\"Plots/rating_year_company.png\", dpi=900)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Observations:** We can see that the average overall rating for each company has not decreased since 2015, expect for Apple. Google has the highest average overall rating\n",
    "\n",
    "* Google: Has increased but seems to be have decresed sligtly in the past two years\n",
    "* Amazon: Has increased dramatically since 2015. Doesn't seem to be decreasing.\n",
    "* Microsoft: Increasing slowly\n",
    "* Apple: Seems to be going down."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### B. Distribution of Reviews by type of employee (Current vs Former)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "current_employee_count = df['job-title'].str.split('-', expand=True)[0].value_counts().sort_values(ascending=True)\n",
    "employee_labels = current_employee_count.index.tolist()\n",
    "employee_index = np.arange(len(employee_labels))\n",
    "\n",
    "\n",
    "plt.figure(figsize=(12, 9))\n",
    "_ = sns.barplot(employee_index, current_employee_count, palette=[\"gray\", \"b\"])\n",
    "_ = plt.xticks(employee_index, employee_labels)\n",
    "\n",
    "_ = plt.xlabel('Types of Employee')\n",
    "_ = plt.ylabel('Number of Reviews')\n",
    "_ = plt.title('Distribution of Reviews by type of employee (Current vs Former)')\n",
    "#plt.savefig(\"Plots/reviews_employee_type.png\", dpi=900)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Obeservations:** Most of the reviews seem to come from current employees. Although this is good since it probably means that the reviews are relevant, it also begs the question of how much bias there is."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Average ratings for different feature (by company)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Unnamed: 0', 'company', 'location', 'dates', 'job-title', 'summary',\n",
       "       'pros', 'cons', 'overall-ratings', 'work-balance-stars',\n",
       "       'culture-values-stars', 'carrer-opportunities-stars',\n",
       "       'comp-benefit-stars', 'senior-mangemnet-stars', 'helpful-count',\n",
       "       'year'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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>company</th>\n",
       "      <th>amazon</th>\n",
       "      <th>apple</th>\n",
       "      <th>google</th>\n",
       "      <th>microsoft</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Work Balance</th>\n",
       "      <td>3.061221</td>\n",
       "      <td>3.354623</td>\n",
       "      <td>4.026761</td>\n",
       "      <td>3.647832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Culture Values</th>\n",
       "      <td>3.558759</td>\n",
       "      <td>4.105820</td>\n",
       "      <td>4.352470</td>\n",
       "      <td>3.781622</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Career Opportunities</th>\n",
       "      <td>3.644601</td>\n",
       "      <td>3.462711</td>\n",
       "      <td>4.081885</td>\n",
       "      <td>3.754100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Company Benefits</th>\n",
       "      <td>3.730545</td>\n",
       "      <td>4.113001</td>\n",
       "      <td>4.449680</td>\n",
       "      <td>4.055493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Senior Management</th>\n",
       "      <td>3.196000</td>\n",
       "      <td>3.467120</td>\n",
       "      <td>3.887694</td>\n",
       "      <td>3.348686</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "company                 amazon     apple    google  microsoft\n",
       "Work Balance          3.061221  3.354623  4.026761   3.647832\n",
       "Culture Values        3.558759  4.105820  4.352470   3.781622\n",
       "Career Opportunities  3.644601  3.462711  4.081885   3.754100\n",
       "Company Benefits      3.730545  4.113001  4.449680   4.055493\n",
       "Senior Management     3.196000  3.467120  3.887694   3.348686"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ratings_comp = df[[\"company\", \"work-balance-stars\", \"culture-values-stars\", \"carrer-opportunities-stars\", \"comp-benefit-stars\", \"senior-mangemnet-stars\"]]\n",
    "ratings_comp.set_index([\"company\"], inplace=True)\n",
    "ratings_comp = ratings_comp[~(ratings_comp[[\"work-balance-stars\", \"culture-values-stars\", \"carrer-opportunities-stars\", \"comp-benefit-stars\", \"senior-mangemnet-stars\"]] == \"none\").any(axis=1)]\n",
    "ratings_comp[[\"work-balance-stars\", \"culture-values-stars\", \"carrer-opportunities-stars\", \"comp-benefit-stars\", \"senior-mangemnet-stars\"]] = ratings_comp[[\"work-balance-stars\", \"culture-values-stars\", \"carrer-opportunities-stars\", \"comp-benefit-stars\", \"senior-mangemnet-stars\"]].apply(pd.to_numeric)\n",
    "group = ratings_comp.groupby(\"company\")[\"work-balance-stars\", \"culture-values-stars\", \"carrer-opportunities-stars\", \"comp-benefit-stars\", \"senior-mangemnet-stars\"].mean()\n",
    "group.columns = [\"Work Balance\", \"Culture Values\", \"Career Opportunities\", \"Company Benefits\", \"Senior Management\"]\n",
    "group = group.transpose()\n",
    "group"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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cQ+ZArAd/l35lMmF+ojLJ678kYfpAbGeO4t9Nn9Kml6sbDrCmZG9Ovr2cGl+PdEurMlpMhNYuw/kvt7GtwRh+/XQTNb4chtHHTIUZPTn7ySZiT1+5b7tGXwuPdXiWn2evcpX5Zg+k/PTu/PD8G6wv/zJ7+79P1Y8GuOXHH5+8mFXFe3Ln8k3KTu3q1mZ466eoNKcvu3u8Q9L12494JjIApc14NpPJRJkyZTh27Bjbt2+nRo0a5MuXj6SkJGJiYjh06BCVK1fmwoULBAYGUrp0aQAaNmzIpUuXiItzfoz+3/L/6t69O9WqVaNgwftfZf83bebbb79l06ZNzJgxgwMHDhAeHs6IESNYunQpU6dO5fDhwyQkuH9E/tJLL5E7d24++eQTJk2aRGpqKomJzkhN2bJlCQgIwN/fn3z58hETE8O+ffto2LAhPj4+ZM6cmVWrVpEpUyaOHz/Oq6++SvPmzRkyZAgJCQlER0ffb7herVChAlSvVtH1+LPPFxEenpeQkGBX2aXL/yF37pyux2G/pdYkJCRy7VoEK1d9S1xcPKmpqSxcuJyqVf78RtJ8+fLw04+rsdls1K7bmpiYuzc3PVOzGtt/XM2CBUvp1/+vXQjIoxManpviFR53Pd62ZAs5wnKQOSjgL9Wp2eIZwosXcB0zGAxYrVaqNa6Br78vY+aP4+31syhUujCdRnWlXvsGREVGcSf2Dvs27wHg1yNniLwUSYESznbCixfgzdVvc+74Wab1nII11Zl68eTTZV0L/KSEJLav/pGCTxRKq6nJ0CyVamPMX4RMw97Bv+frYPEh07B3MATevcByRN9we4zRhCFzIPYY583LpsKlyDTwLVL3bSN56ft3z4uJIvXgj86UmuRErIe3YypQ/G7fZZ8idd82cDjczrGdP4Xj5jUAUndvwhRWECw+aTUFch+ZC+QiW6Wirsfnv/6ezHmzu1JaABIjoon79SpRh5wpTtc2HsBgMpK1bCGyVy5GkZ4NqbN5MiWHtyR75WJU/3KY69zQZ8tw+8RF7ly6+4lO9srFSbhy0xWJv7rhAHarjcCiechWsSgBBUMBZwT+4uIfCSn1mOvc0q+3p8TwVvz4whSu/3QibSZF/rW8YvEOd/Pejx49ypNPPukq27p1K8HBwWTJkuWeKBqAw+HAZnNuJ+Tn5+d2bPr06WzatImff/75T/vPmzcvZcuW5fDhwxw/fpyXXnoJu91O/fr1qVOnDo7fvZgDTJ06lQULFpAnTx769OlDSEiIq46v792rcoPBgMPhwGx2z2C6cuUKdrsdHx8fVq1a5fpZunQpwcHB/NvkDs3JV1/OJVu2EMC5C8zxE6fd8t43b/6BypXKUbiw8wWwV8+OrF6zCYBvlq+jVcsmrt9xs2b12bf/CA8TEhLMti3fsHLletp36EtSUpLrWNUqFVi29GO6dhvAjJnzHulzlb8mJGcIQ+YMI0tIFgCefq4ml09fIv523F+qk79YOG0Hv4jRaMTH14eGnRqzY812Vn+0kr5P93LdxHr26K98MfkzNn21gZ8PnCI1OYUKtZ0XkmGFwsgVHsrFUxcIDc/NhEVvsGT2Yj6b+Inb6021JjVoM7At4EypqdakBsd2Hv2npipDSZg5hIRp/Ul4awCJH46H1BQS3hqAI/buTlC2i6cxZM6C8beFt6VKXWwXfobEOxgLFHfeYPrVTFK/c89tth7ZgaVCLWe01mjCXLIStktnXMdNhZ/A9ov779V6bBemgo9jyJoLAHPpatiuXXTmzcs/xj9XMJXnvoxPVufFff6W1Yn5+bJb3nvEtiNkzpuD4NIFAMhepTgOh4Oow+dYV7b/3ZtS3/yGm3tOs6PDW65zc1QtzvXt7ovsmFOXCCyW17VIz1q2ECZ/H+LORpCzRgnKjO+AwWQEg4F8LatzfYfz/DITO5G9SjG2NniNmBMXkf+Rct49X5UqVRg0aBBFixZ1LXSrV6/O7NmzqVfPufVfwYIFuX37NkePHqV06dKsX7+ePHnyPHCxW7VqVYYMGcJrr73GkiVLHpiWARAbG8vJkyfp0KED+/bto1KlSrRr1464uDjGjRtHrVq13Orv2LGD8ePHU65cOXbv3k1kZOR9Ly7+q2LFinzxxRe0a9cOq9VK9+7dmTt3LgUKFGDVqlU0b96cHTt2MHbsWLZsecjHxV5q+469TJk6m61blmG12rh2NYKWrbpRvlxp5s2bToWK9bhx4xbdewxm8aIP8fGxcO7sRbp0c+72MfeD+WTNGszePd9iMpk4dOgYw4ZPeGifvXt1In/+MJo3b0jz5g1d5fXqt+H1sUMwGAxMmjSKSb/taHPhwiVate6edpMgbk7tO8myOUuZuHgyNquNqOtRTO05mUKlCtN3Wn+GNBr4wDoAi2d9TY+JvZm5aTYms5ld63awZdGmh/ZpTbEyoeM4uo/vSYcRnQB4b9hsoiKj6DO1Hz7+vjTu0oTGXZypFKkpqYx8bhifv/EpvSf1Ydamd3E4HOzdtId1n655WFfyiBkCs+Lf63US543HERtF4qeTnVtF+vjhSIgl6auZAPg2fBEw4Nu0MzR1pkLab0WS9Olkktd/iW/TLmQaMQeD0YT19GFSf7ibJmHMngd7VKRbv/b/nCd56Vz8XxoFRjOOxHiSPp/6jz1vcbq55zQ/v7OSmt+8hsNqJzEymp1dZxJS5jHKT+/BlrqjSL4Rw85uMyk3pSumTL7YU6zsemmW6ybThwl4LJToI7vcyuLPRXBwxKdU/XigM1CYmMKul2ZhjU/k5zlreHJCR+psnQJ2Bzf3nub45MX458lK4W51Sbhyk6cXvepq68zHG9xy4UUexuD4Y8jYg1WvXp2+ffvSvr1zK7i4uDiqVKnCggULKFfOmSJx6NAhJk+eTGJiIkFBQUyYMIFChQrRsWNH+vfvT+XKlQFn/vvp086bRzp27EidOnVcOe3g3Cpy0aJFZM+eHYPBwJ07d2jRogV9+/YlMjKS/v37k5SUhMVioXDhwtjtdqZPn+5qd+3atcyaNYvAwECyZctGVFQUQ4YMISIigr179zJ16lRX3/8d18yZM9m2bRt2u5327dvz4osvcvbsWdcNqxaLhXHjxt2T/vMgZp+wRzb38u/RLHf59B6CeKD5LbzmrUD+IRsXB6b3EMRDtbp27+YB/7Sknxb8eaW/ye+pjmnex//Cqxbv8v+jxbvcjxbvcj9avMsfafEuD6LFe/rymrQZEREREREAh8OW3kNIN15zw6qIiIiISEanyLuIiIiIeBcP3g0mrSnyLiIiIiLiJRR5FxERERHv4sHfgJrWFHkXEREREfESiryLiIiIiHdRzruIiIiIiHg6Rd5FRERExLso511ERERERDydIu8iIiIi4l2U8y4iIiIiIp5OkXcRERER8S4ZOOddi3cRERER8S4emjYzbdo0oqOjmTp1qlv5gQMHmDx5MlarleDgYCZPnkxYWBj79u2jf//+hIaGAlCiRAmmTJny0D60eBcRERER+Zt27drFihUreOaZZ+45NmzYMN5//32KFy/OsmXLeOONN5g7dy7Hjh2jW7du9OrV6y/3o8W7iIiIiHiXfyDyHhsbS2xs7D3lgYGBBAYGupXdvn2bmTNn0rt3b37++We3YykpKQwYMIDixYsDUKxYMb788ksAjh07xq1bt/j2228JDQ3l9ddfJ3fu3A8dlxbvIiIiIiJ/MH/+fObMmXNPef/+/Xn55ZfdysaOHcugQYO4du3aPfV9fHxo3rw5AHa7nTlz5lCnTh0AsmTJQuPGjalTpw5ff/01gwYNYtGiRQ8dlxbvIiIiIuJd/oEbVjt37kaLFi3uKf9j1H3p0qXkzp2bqlWrsnz58ge2l5KSwsiRI7Fara40mQkTJriOt2vXjrfffpu4uDiyZMnywHa0eBcRERER+YP7pcfcz/r167lx4wbNmzcnJiaGhIQEJk+ezKhRo1x17ty5Q58+fQgODmbu3LlYLBbsdjvz5s2jZ8+emEwmV12z+eHLcy3eRURERMS7eNBuM5999pnr38uXL2fv3r1uC3dw3rAaHh7OhAkTMBgMABiNRjZv3kx4eDiNGjVi5cqVlClTBn9//4f2p8W7iIiIiMgjNnr0aJ599lly587N1q1bKVy4MM899xwAOXPm5KOPPmLatGmMGTOG9957j6xZs/Lmm2/+absGh8PhSOvBS/ow+4Sl9xDEAzXLXT69hyAeaH4LvRWIu42L/zxdQDKmVte+Su8hkLjqzxe5f5d/8+Fp3sf/wpjeAxARERERkb9GaTMiIiIi4l08KOf9n6bIu4iIiIiIl1DkXURERES8yz+wz7unUuRdRERERMRLKPIuIiIiIt5FOe8iIiIiIuLpFHkXEREREe+iyLuIiIiIiHg6Rd5FRERExLs4Mu63QivyLiIiIiLiJRR5FxERERHvkoFz3rV4FxERERHvkoEX70qbERERERHxEoq8i4iIiIh3cSjyLiIiIiIiHk6RdxERERHxLsp5FxERERERT6fIu4iIiIh4F31Jk4iIiIiIeDpF3kVERETEu2TgnHct3v/F3gqtld5DEA/Uq68lvYcgHsjUsG16D0E8TNNucLrZnPQehoj8gRbvIiIicg8t3MWjZeDIu3LeRURERES8hCLvIiIiIuJd9A2rIiIiIiLi6RR5FxERERGv4rBrn3cREREREfFwiryLiIiIiHfRbjMiIiIiIuLpFHkXEREREe+i3WZERERERMTTKfIuIiIiIt4lA+82o8W7iIiIiHgX3bAqIiIiIiKeTpF3EREREfEuiryLiIiIiIinU+RdRERERLyLI+PesKrIu4iIiIiIl1DkXURERES8i3LeRURERETE0ynyLiIiIiLeJQN/SZMi7yIiIiIiXkKRdxERERHxLg7lvIuIiIiIiIdT5F1EREREvIty3kVERERExNMp8i4iIiIiXsWhfd5FRERERMTTKfIuIiIiIt5FOe8iIiIiIuLpFHkXEREREe+ifd5FRERERMTTKfIuIiIiIt5FOe8iIiIiIuLpFHkXEREREe+Sgfd51+JdRERERLyL0mZERERERMTTKfIuIiIiIt5FW0WKiIiIiIinU+RdRERERLyLct5FRERERMTTKfIuIiIiIl7FkYG3ilTkXURERETESyjyLiIiIiLeRTnvIiIiIiLi6RR5F49RpnNdynSsjcPhIObidTaP+ITEW7FudZ5+7UWKNK5E0u07AESfu8b6fnMAeHHdRMx+PthSrAD8vHInB+atw5LJl3rTe5K1SB4MRiMnFv/AgQ/Xk79GSZ4a/aKrbbOfD1kL5earxq9x/diFB7YXmDc7tSd3I0tYNlITkjkwbx2/rN3zT0xRhmUqUhafxj1InNX3gXUsNZ4DvwBSt3zpKjNXaYz5iepgNGI7sYvUHasAMGTPi1/H0Tiir7vqJq+eiyMqAmNYESy122EwmnDYUknd/CX2iAuAAcszrTAVKgMOB/aoSFI2zofEODD74NOwK8Zc+QEDqT8sxXbmUBrNhvzXtr1HGT1nAbu+eOueYxt3HuTDbzYBEJwlM2N7tSE8d04A2gx/k+SUVCxm51tgo6cq0LV5baJi4pj44WIuRdzEZrPxVLmSDOrQDKPxbpzrSuQt2o54i3lj+lKyUH5W/7CXBWu+cx2PS0jketRtNn8wgeAsAbw1fwU7j5zCZrPTudmzvFCvRlpOSYaWrVNjsnVoBA4HyZeucWXkHGy3YlzHg5+vRY7uz7kem7JkxhKajVNVu2KNiiVsQi8yV34CgLjvDnBt8qdu7Ye0rkNQ/apc6D7RVZa5UklCX+2C0c8XW+wdrgydRcrlSAy+PoRN7I1/6SIYjEYSDp/mP2M+wJGcgk94bsLe6IM5WxAGi5moxZu5+fHKNJ6df6EMHHn32MV7fHw8b7/9Nvv27cNkMhEYGMjIkSMpWbLkA8+5cuUKnTp1Ytu2bWzbto2LFy/StWvXRzqmp556ig0bNpArVy5X+d69e5kyZQorVqx44LnFihXj9OnTj2ws/zY5SxWgfM9GfNlgFClxiTw1uh3VhrZi66vuL565yxdhff/3uHbgjFu52d+XoPw5mVe2L3arze1Y+V6NsSalsKDuq/gE+NNpy1Su7P71iAb9AAAgAElEQVSZS9tP8FXD0a56TT54hV837OP6sQsPba/+jF5c3nWKFZ3exJLZj9aLRxF19ho3T116xLMiAIaQXFhqtQGD4f7Hs4Rgqd0OU8HSWI9ud5UbC5bGXLwiSfPHgd2O7wtDMN26iu3nfZjCCmM7udu5+P4Dn6Y9SVn/KfZLpzAVKYdP4+4kffIaptJPYcxVgKTPx4HNiuWZ1vg824aUdR9jqdEcUpJI+ng0hixZ8e34GvaICzjiotNoVuTiteu8/cVK7Pd5A791O5aJHy5h2fQRhGYP4etvf2TKJ8v44LW+JCQlcyXyFt9/MhmL2eR23lvzV1Awbygzh3UnOSWVXm+8z6rv99Di2aoAJKekMurdL0i1Wl3nNKtZiWY1KwGQarXRdew7vNSiLtmCA1m08ScuRdxg+YxXSUhMpsPoGTz+WD5KFQlPw5nJmPyfKESOni34peEr2OMSyD2qG6FDOvCfUe+56txe/h23l/92oWU2UWjJVK7PXYb15m1CWtXGt2AYv9R/GYwGCn/zFkGNqhOzfgemoABCh3cipEUt4ncdc7VnCc1G+LxRnO8wlsQTZ8nWtSlhb/ThfOdx5Oz/AgaTiTMNXwGDgfyzBpOzb2siZ35FvukDiV62lajFmzBmyUSRVTNIPHGOO7uO/tPTJl7KI9Nm7HY7PXr0ICgoiJUrV7Jq1Sr69etHjx49iI7+a2+GJ06cID4+/pGOKyAggLp167Ju3Tq38pUrV9KyZctH2ldGc/3YBT6vOZSUuERMvhYCQrOSFO3++zP5mMlZMpzyPRvRYcMkmnzwClnyZAMg9MmCpCYk89znQ+m4aQo1x7bH5GsBwGA0Ysnsh8FkxORrwWA0YEu1urVdvEV1AvNmZ+f0ZX/aXs5Sj3Fy6Y8ApN5J4vLOUxRuUCFN5yfDMvvg06QHqdsWPbCKqfTT2C+fwbpvo/upRcthPbkbUlPAZsV6bDumEs5FmDGsMIZsefDtOAbfjmMwFS1/90SDEYNfJue/ffzAmgqA4+Z/SPl+Cdicfzv2iAsYAp1/f6Yi5bEecf5NOOKisF84gal4xUcyBXKvxOQUXp29gKGdW9z3eLbgQL77eBKh2UOw2mxcvRFFUEBmAI7/ehF/Px/6T/mA5wdP4c3Pl5OUnALAs5VK067B0wD4+lgonC83V2/cfc+Z/PFSmj1TmZDAgPv2+9mqLWQNCqB13eoAbNtzlOdqVcZsMhEYkIkG1cux7qd9j2we5K7E42f5+Zle2OMSMPhasIRmxRYd+8D6OXu3xHrrNlELNzgLjEaMmfww+Fgw+lgw+Jix//Z3EdSkBqnXo7j6h0h8UKPqxH1/gMQTZwGIWriBqxM+BuDO3hNEzlkMDgfY7SSeOIclbw5nvSWbiF71AwD2uASSL17D57dj8v/gsKf9j4fyyMX7nj17uH79Oq+88grm3z7WrFKlClOmTMFut7Nnzx46duzoqj9y5EiWL1/uevzrr7+yaNEiFi1axDfffMO7777Lu+++6zr+7LPPcuXKFZYvX07Hjh1p2rQpM2bM4ObNm/Tt25fnn3+eli1bsnPnznvG1rJlS9auXet6nJyczPfff0/Tpk0BmDlzJi+88AL169enbdu23Lhxw+38B43FZrMxZcoUWrRoQbNmzfj8888BiIiIoEOHDjz//PO0atWKw4cP/42Z9Wx2q41C9crTY89s8lYuxoklP7gdz5wrhMs7T7Jj2hK+bDCaa4fO0uzjQQD4BPhzZddJ1vaezcKmY8mSJxs1RrYBYP8HawnMm4Oe+96l+65ZnF692y1KbrSYqDHiBb4f/yUOm/1P24s4fJaSLzjf4P2zZuGxZ8uQOWdwms9PRuRTvzPWwz9gv375gXWsO1ZhPbAZ/rBtmCFLVhxxUa7HjrhojFmyOv+dmozt5G6SF0wkZf3H+NTriCGXMxqa8u0n+DTugV/ft/Gp15GUzc40HPvVszgiLzob882EpVozbKf3O/sKzIo97pZbX4bf+pJHb+K8RbSuW42i4XkeWMdiNnHi7CXq9hrLN1t28mJD5//ZO4nJVCpZhLeHdOPrqUO5djOadxauAaBulSfJHhIIwKnzl/l2+wFqVyoNwDdbd5Jqs9GqTrX79hcdG8/8NdsY3uVuICfiVjS5st19bciVLZjIW7f/3pOXB7PaCKxXhcd3fU7mSk8QtXTLfauZQgLJ3qMFV8d/7CqLXrYVW0w8j+/5nMf3ziflwjXitjovtKK+2sD1dxbhSEpxa8fnsTDsicnkf3cYRdbNIv+c4ThSnBf78T8dIuX8VQAsYTnI3q0ZMet2OPtauhVHUjIAATXLkbl8ceK+P/ho50L+1Txy8X7y5ElKlSrllmcIULNmTbJly/an5xcuXJi2bdvStm3bP42IR0ZGsmLFCgYPHsykSZNo2bIly5cvZ+7cuYwdO/ae6H2lSpWIjY3l3LlzAGzZsoUqVaoQFBTExYsXOXfuHIsWLWLjxo3kz5+fNWvW/KXnvGTJEgBWrFjBsmXL2Lp1K/v372fZsmU888wzLF++nGHDhnHgwIG/1J63OrvpAB882YddM5fz/Jcj3FIlYi/fYGWX6USfuwbAgXnrCArPRWC+HJzbfJANAz8gJT4RW3Iqe99bTeH6zmj4s2905tJPx5hXvj+f1hhMgWdKU7jh3ahokUaVuH3xOlf3/eIqe1h7GwfNI2vhMDpumkLdt3pwbushV168PDrmsrXAYcN27Kf/rYH7pNk4foukpG5egPWw8+Nzx61rWH/eh7lIWcgUiE+DriR/PZWk94eQsvZDfJ7rBxafu80G58Cv/avYrpzBenDrA/v648WEPBqLNv6EyWRypbI8TMlC+fnu40m8OagL/abMI/ZOArUqlmLyK50IyOSPr4+FHi3qsm2ve7rCjsOn6D3xfUZ2a0nxx/Jy8txllm7awZiebR7Y17ItO6lVoRR5c919j3I47k3p+eP7mjxasZt2c7JceyJnLeSxLybc9/9m1nb1id28h9Qrka6yXAPaYb0Vy6kKHTlVtSum4ACy/y4//n4MZhOBdSsT8faXnGk8kPgdRwmfN8qtjv8ThSi0ZBo3568jbpv7py4hLZ8l/8whXOwzFesNpdj9v9kdaf/joTzyVcRoNN73RS8tlChRwhXd37lzJ7Nnz6Z58+b06NEDq9XK5cvuET+DwUCLFi1c0fdVq1bRqlUrAMLDwxkxYgRLly5l6tSpHD58mISEhL80jl27drFt2zaaN29O69atiYiI4PTp01StWpVPP/2UIUOGEBkZSYcOHR7hs/ccQeG5yFOxqOvxicU/kCUsO35BmV1l2Yvn4/Hnq7udZzCAPdVGwTplCatU7HflBleueuEGFTn61TZwOLhz/Ta/rNtLvqqPu+oWa1rFlQbzXw9rz+xnYeOQD1lQ71VWvzQDnwB/Yi5GIo+W6YkaGEMfw6/LeHxbDwKzD35dxmMI+GufcjhiozBkvlvXkCXEGYk3GDBXbeJMibl7FIfNhilfURwxN3+7QRXnTad2G8ZszgivMX9x/Dq8hvX4DlI3ffG7vm79oa9g5bunkdXf7eH42Uu0HjqNfpM/IDklldZDp3E96u6NidejYthx+JTrcY2yJQjI5MeViJt8v/8Y+0/+6jrmAMymu7nvX6zZxqh3FzBtYBea/pbLvuaHvdxJTKLT6Jmuvka+8wXf7bub/7xx50Geq1XZbayh2UO4+bvUjetRMW6ReHl0fMJzk6lCCdfjqCVb8AnLgSno3hSn4KZPEf2HqHxQg6pELd2MI9WKPS6B6G+2EVC19EP7tF6PIuHAKVIuOANKUYs34V+iIAZf58V+UNOneOzLiURMm8+N95e6nZt7dDdyDWrPuQ6vEb/jyP/0nCXj8sjF+xNPPMHJkyfvWcDPmDGD3bt3YzAY3I6lpqY+tL2H1ffzu/sGbrfbmT9/PqtWrWLVqlUsXryYokWL8kctWrRg/fr13Lx5k/Pnz1O1qjMCdPz4cV566SXsdjv169enTp069zyHB43FZrMxbNgwt75btmxJ+fLlWbduHTVq1GD9+vX07t37oc/VWwXkCqbRnP74hThfaIu3qM6t05dJun33kw+H3cEz4zsRmM+ZG1i6Yx1u/nyZ+IgoAkKz8vRrL7py2st1b8jpNbsBuH78AsWaVgGcN7YWqFmaa4fOutoNq1ycS9tPuI/nIe1VHdySMh1rAxD8WCiF6pXnzLfKY33UkhdMJOnTMSR9/jrJS2eCNYWkz1/HEf/X0g5sZw5iKlHFGTU3mTE/Ud25GHc4MBV+EnOZmgAYArNhLlYe2y/7sV+/jDFHXgwhzhvSjbkLYjD7YI+KwBhWGN8WL5O87iOsezf8oa9DmJ/8rb0sIZgeK4Xt7L83xS09LZw6lBUzXmXp9BG8N6o3vj4Wlk4fQc6sQa46KampDJ/5OZeuOdMW9x7/BavNxmN5Q4m8dZsZX6wkKTkFm83OF2u+o361coBz4b5o4098NXkwVUrfvXgf0bUla2aPYen0Ea6+pg7oRK2KpQCIjU/gUsRNyhQr6DbWWhVLseK73VhtNmLvJLBhx0Ge/e0cebTMOUPI/+4wTL+lPQU/V5OkXy5hux3nVs8UmBnf8NzcOXDKrTzx+FmCG/+2E5DZRGCdSiQc+vmhfcZs3EWm8o9jyet8vQhqUI2k0xdxJKcQ1LAaYa/35HzHsdxe7Z4Cmuf1nmSu9ARnmg0i6eT5v/O0MzSH3ZHmP57KI3ebqVChAtmyZWPOnDn07dsXk8nETz/9xPLly+nUqRPR0dFcvnyZ5ORkEhMTOXDgANWru0dkTSYTycnOnLKQkBD27HFu5Xf06NF78tD/q0qVKixcuJC+ffvy66+/0r59e7Zu3UpAgPuVe548eciTJ48rSm/47WO5ffv2UalSJdq1a0dcXBzjxo2jVq1abuc+aCxVqlRhyZIl1KpVi5SUFF588UXGjx/PDz/8QM6cOenSpQuVK1emRYv736Dl7f6z9zR7311F6yWjsVvt3ImMZnWPWeQq/Rh1pnXnq4ajufXLFb4b+wXNPx2MwWgkPiKK9f2dOwkc/WobQflz0n79GxjNJq7sOsmed5y7/2wc9AG1Jnah09YaOOx2flmzh59XOHMP/bNmwZLJl/iIKLfxPKy9Hyd9TYNZvSnR6insVhubhnxI/DX38yXtGAKC8W01iORlMx+6kLedPYIhR178Oo0Foxnbr4ewHXf+3lPWfIhP/U6YS9UAg4GUrV/juOWMnqVsnI9vi/7gcOCwppC8Yg6kJDm3ojSAT83WULM1APaYG6SsmEPq9pX41OuE30tvgMFIyndLcNy+/+uMpI3rUTH0m/wB743qTd5c2RnXpx2D3/4EAwayZPbn3ZE98ff1oXXd6lyJvEWbEW9hs9mpWLIIvVvXJzXVypzF6wnM5M+gtz5xtVu36pP0bFn/oX1firhBjuDAe3aveaFeDS5H3KT10GmkWm20qluNCiWLpMnzz+gS9p3k+ntLKLRoMg6bjdTIKC70mIR/qcLknfYyZxoNAMCnQB5Sr0fBH3YRuzrxY/KM70XRrXPBZid+xxGuf/DNQ/tMOnme/7w2lwIfjsJgNmOLiedi36kAhA7vDAYDeae97Kp/Z/8pbsxdRrbOjUn9zw0Kfnl3y8mbn60meunWRzUd8i9ncPxT+Sn/T1FRUUyZMoXjx49jNpsJCQlh5MiRlCjh/Fhs7Nix7Ny5k7CwMLJnz0716tWpVKmSa6vIffv2MWLECLp27UqTJk0YMGAAN2/epGTJkpw9e5bZs2ezd+9e9u7dy9Spzv9skZGRjB07lqtXnTeZDB06lJo1a953fGvXrmX48OFs3ryZsLAw1/n9+/cnKSkJi8VC4cKFsdvtTJ8+3bVVZHR09H3HkitXLqZNm8bu3buxWq08//zz9OzZk2vXrjFkyBDu3LmDyWSie/fuNGrU6C/N4cz8/84UG/l7evWzpPcQxAOZGrZN7yGIhzndbE56D0E8VOkLf+1+vrQU90qTNO8jy+y1f14pHXjs4l3+Pi3e5X60eJf70eJd/kiLd3kQLd7Tl0emzYiIiIiIPFAG3tFLi3cRERER8S4efENpWvPI3WZEREREROReWryLiIiIiHfx0C9pmjZtGiNHjryn/OrVq7Rv354GDRrQp08f7ty5A0BsbCw9e/akYcOGtG/f/oE7Iv6eFu8iIiIiIn/Trl27WLFixX2PjR8/nhdffJENGzbwxBNP8P777wMwa9YsKlSowLfffkvr1q2ZNGnSn/ajxbuIiIiIeBWHw5HmP/8ft2/fZubMmff9Ms3U1FT27dtH/frO74x4/vnn2bDB+WV/33//PU2bNgWgSZMm/Pjjj3/65aO6YVVERERE5A9iY2OJjY29pzwwMJDAwEC3srFjxzJo0CCuXbt2T/3o6GgCAgIwm53L7hw5chAZGQnA9evXyZHD+c3xZrOZgIAAoqKiyJUr1wPHpcW7iIiIiHiXf2C3mfnz5zNnzr3fd9C/f39efvnut+cuXbqU3LlzU7VqVZYvX35P/ftF8Q0GwwP7NRofnhijxbuIiIiIyB907tyZFi1a3FP+x6j7+vXruXHjBs2bNycmJoaEhAQmT57MqFGjAMiaNSvx8fHYbDZMJhM3btwgZ86cAOTMmZObN28SGhqK1WolPj6e4ODgh45Li3cRERER8S7/QOT9fukx9/PZZ5+5/r18+XL27t3rWrgDWCwWKlSowPr162natCkrV67k6aefBqBmzZqsXLmS3r17s379eipUqIDF8vBvQtcNqyIiIiIij9jo0aPZunUrAK+//jpLliyhUaNG7N+/n4EDBwIwYMAADh8+TOPGjVm4cCFjx47903YNjv/v7bTiNWbm75DeQxAP1Kvfw6/oJWMyNWyb3kMQD3O62b25viIApS+sSe8hENO1Tpr3EfTZljTv43+hyLuIiIiIiJdQzruIiIiIeJd/IOfdUynyLiIiIiLiJRR5FxERERHvYk/vAaQfRd5FRERERLyEIu8iIiIi4lUcynkXERERERFPp8i7iIiIiHgXRd5FRERERMTTKfIuIiIiIt4lA+82o8W7iIiIiHgV3bAqIiIiIiIeT5F3EREREfEuGThtRpF3EREREREvoci7iIiIiHgV5byLiIiIiIjHU+RdRERERLyLct5FRERERMTTKfIuIiIiIl7Foci7iIiIiIh4OkXeRURERMS7KPIuIiIiIiKeTpF3EREREfEqynkXERERERGPp8i7iIiIiHgXRd5FRERERMTTKfIuIiIiIl5FOe8iIiIiIuLxFHkXEREREa+iyLuIiIiIiHg8Rd5FRERExKtk5Mi7Fu//YnlTHek9BPFAr81NTO8hiAeamPxFeg9BPExyqpYI4sEchvQeQbpR2oyIiIiIiJfQZbWIiIiIeJWMnDajyLuIiIiIiJdQ5F1EREREvIrDrpx3ERERERHxcIq8i4iIiIhXUc67iIiIiIh4PEXeRURERMSrOLTPu4iIiIiIeDpF3kVERETEqyjnXUREREREPJ4i7yIiIiLiVbTPu4iIiIiIeDxF3kVERETEqzgc6T2C9KPIu4iIiIiIl1DkXURERES8inLeRURERETE4ynyLiIiIiJeRZF3ERERERHxeIq8i4iIiIhX0W4zIiIiIiLi8RR5FxERERGvkpFz3rV4FxERERGv4nBk3MW70mZERERERLyEIu8iIiIi4lUc9vQeQfpR5F1ERERExEso8i4iIiIiXsWunHcREREREfF0iryLiIiIiFfRbjMiIiIiIuLxFHkXEREREa+Skb+kSZF3EREREREvoci7iIiIiHgVhyO9R5B+FHkXEREREfESiryLiIiIiFdRzruIiIiIiHg8Rd5FRERExKvoG1ZFRERERMTjKfIuIiIiIl5F37AqIiIiIiIeT5F3EREREfEq2uddREREREQ8niLvIiIiIuJVMvJuM1q8i4iIiIhXycg3rGrxLh6jUNe6FOpcBxwO4i9c58DQj0m+FetWJ7B4PspO6oQlSyYcdjsHhn/C7aMX3OqUGd+BgMdC2dFpulu5wWKi1oqxXFm7h18+WA+AJTgzZSd1JrBIGCZ/H069s4pLy7YDEFr7SUqNaoPJx8ztU5fZP/gjrPGJrvb882Sl9trxbKrzKilR8WkwIwJQo1N9qnWog8MBty5FsmTkh8T/4e/iv56oV4EX3+7LqFLdXGWlG1Sidr/nMPtYiP7PDRYOfp+E2/FkzpqF1pN7kD08F0aziVPbDrF26kJyFspDh9kvu843Go3kLp6fz3q9zbGN+wAw+Zjp/slwdi3cytFv97iNIc/j+ek5/1XGVeqTBrMhv2cqVh7f5/qQMK37PceMYYXwadgFg8UXR3w0ySvm4oi/DYCl5vOYS1QBhx3btfOkrP0UbKl32y1YCkuddiR9OOp3fVXA55mWOBwOSLpD8pqPcERfB4MBn4ZdMIU/DoDt18OkbF7oPKdoWXyb98Yec8vVTtLnEyAlKU3mI6PL2aUhOTs1wOGA5IsRXBj2PtZbMa7j2Vo9Q2jPZq7HpiyZsOTOxpEK3bHejOHJo5+TGhHlOn5t7kqiVvx4t35QZkp8O50rk74get0ut77zDG2HOTiAS6995CrL/XJLsrV6BoPJxK3lP3B1xmIAzFkDeeydAfjmzYHD7uDiiPeJ33/6kc+H/Hv96eI9Pj6et99+m3379mEymQgMDGTkyJGULFnynxjffd28eZOpU6dy+PBh/P39yZkzJ0OGDKFEiRJp2u/ixYvJnDkzTZo0+X+fu3XrVo4fP86AAQOYPXs21apVo0KFCowePZq2bdtSqlSpNBix9wguXYBifRqzqfarWOMSKT32RUqOaMXB4Z+66pj8fXh60Qj2D/6IiG1HyFO/PJXf68fGp4a56uRtWpnwltW5dfDsPX08OaEjAQVyupVVmtWL2DNX2dvvffxzZ6Xetqnc2HESW0oqFWf15Ltm44k/H0mp0W0pNboNh179HIDw1jUoOawV/rmzps2ECAB5n3iMZ3o2YXrD4STFJdJ0VAcaDnmBpaM+vqdu9gKhNBvVAYPx7q08eUsV5PkJXXnn+bFEX7lB8zGdaDSsDctGf8JzYzoReeYKn/eegdnXQq8vRlGxVU32Lv2etxuNdLXRbHQHrp2+7Fq4h5crQsuJ3chVKIxdC7e66hlNRmp0aUDt3s3wyeSXhrMiAIasufCp+yIY7hN9M5rwbTWA5OVzsF/+BXP52vg07UHy129hDH8cc8mqJH44Cqyp+L4wEEuleqTuWgdmC5annsNSsS6O2LuLOMwWfFv0IXHeKBzRkZgrN8CnQSeSv56OufRTGLPlJvGDEWAw4tf1dUyPV8J2ai/GvEVJ3bWO1O2r/7mJyaAylSpIaO/nOFF3ELa4BPKN6UzY8HZcHPGBq86tZd9za9n3ABjMJoovn8S195ZjvRmDX6E82GLucKLe4Af2UfCdAZgDM7uVWXJnI//4bgQ9W56bi+6+HgQ9W46QJtU42WAoDrudol+9TsiZy0Sv2Un45J7E7z3JmY7f4F+yAEXnv8axGn2xJ6U82kn5l9MNqw9gt9vp0aMHQUFBrFy5klWrVtGvXz969OhBdHT0PzVGN0lJSXTq1InHH3+czZs3s2bNGrp160a3bt04d+5cmvZ96NAhUlL+t/9ctWvXZsCAAQDs27cPm80GwKRJkzL8wh3g9tELfFttCNa4RIy+FvxDQ0iJdo9m56pZijsXrxOx7QgAVzceYHfP2a7jWYrkoVi/JpycseKe9vO3qoElMBPXthx2lVmCM5Pr6VKcnLEcgMRrUWxtPJaU2/GE1ixF9OFzxJ+PBODs/C2EP18dAL9cweRpUIGfOrz1aCdB7nHl+HkmPzOQpLhEzL4WgkJDuBP9f+zdd3hTZRvH8W+apAsoLaVslCV7KqMMLUsQUEYZDmTLRhABrYgIiOwNojJUeBGVWUD2ElDBAipDoMieLZQWWroz3j8iwdoCDpDG/j5cuWjOec55npy0yZ373OdJ+rMcZk932k/rx6rR/0uzvGqrOvzw1XZiLlwFYOO0pWz7aA0Ahzbu5duFGwGwJKcScfw8foVyp9m+aLXSVGxSg6Vv3/6w8GTnZ1g/aQlnfz6Rpm2h8kUpUPoRPusz7Z8/cLk7kzserfqQsunzDFe7FSwOyYnYzh8HwPLTNxiLlgOv7ODmBiYzmNzBzQgmd+wWR9bdWLwiBrMHyavnpN2hwQ0MBgyeXo677p7w2zYYDODuAUYzGE2O229ZfGPhxzAWKYfnK6Px7PwObo+UfgAHQwASDp3iUJ0+WOMSMHiYMefzxxITd8f2+fq2IjXqBlcXbQIg+xOlsVttlFo6inKbp1LgtXaO35Xf5H+tLQlHz5Jw9Gya/QS80ICbPxwl8uNVaZb7PRNI9Mpd2BKTsSenErVkK/7BQWB0I2fDqlz9fDMAib+cIen0ZXLWe/x+HQrJAu6aef/hhx+4cuUK/fv3x+23X+LAwEDGjh2LzWbDYrEwYsQIfv31V6KioihatCizZs0iKiqKV155BT8/Pzw8PJg/fz4TJkwgLCwMq9VKcHAwnTt3BmDOnDmsX78eq9VKnTp1GDJkCBcvXkyz/WeffeYc07p16/D396dbt27OZbVr1yY4OJh58+YxZswY6tevT/369dm3bx8AY8aMoWzZsnTo0IFixYpx8OBBkpOTGTp0KHXq1CEqKoq3336bS5cuYTKZGDhwIE899RQzZ87k559/5vLly7zwwgts27aNPXv2EBAQwNq1a6levTrBwcEAlCpVivDwcGbOnElkZCRnz57l4sWLtG3blt69e7NixQrCwsIIDAzk8OHDDBs2jFmzZjF69Gj69etHjRo1MjwW8fHxvP7660RFRQHQt29fGjRocN9+ATITu8VKgWeeoOrk7tiSU/ll4rI063MUy0/SlRtUndydnOUeIY66v+YAACAASURBVPVGAgdHfwGA0duD6jN7s3fAx/hVKpZmO5/ShXnslcZ802o0j4/t7FyevUheEq9cp2TPpuSrVwk3DxPHP1zLzVMReBXwJ+HS7cxb4uVozD7emLJ7kRR5nd3dFKD9W2wWK+UbVaXduB5YUyxsmLI0XZu2Y7qz+/MtXDp2Ls3ygKL5uXTsHF3nDiZXoQAuHztH6HsLATi4IczZrmC5IjzeojYfvDAqzfbN336Z9ZO+Ivl35VKL+s8EoF7P59K0PXfgJOcOnMSvUMA/e8ByTx7PdsOyfxu2yHMZrjf45MIWe7tUBZsVe0Ichhx+2E7/gvXUYbxfmwFWC7Zrl7Hsd2RMreH7sYbvx+23Ehin1GRS1n6CZ5cR2BNvYjC4kfjpSAAsB3ZiLFsD74GzwM0N66lDWI//BIA94SaWg99iDd+HW+GSeD7/uiN7HxeN3H92ixXfxtUpMqkv9uRULk76IsN2Jr8c5OvRgl+eGfS7hUZid/7M+dELcPN057GFw7DeTCBy3tf4PFWJHIHlOP7SKEp9NTLNvi5NXQJAgdefT7PcvYA/sd8edN5PvXwN9/z+mHL5YDAYsETHpllnzu//Tx9+lpPZLlidPn06GzduxGAw0KZNG7p06eJcd/ToUUJCbp/RjY6OJmfOnHz99deEhoYyadIk/P0dvwN169Zl4MCBd+3rrsH7kSNHqFChgjNwvyUoKAhwZJDNZjNfffUVNpuNTp06sWPHDsqVK8fp06eZN28ehQoV4osvHH9AK1euJCUlhW7dulG+fHkSEhI4fPgwy5Ytw2AwMGTIEFavXs0TTzyRZvvfO3ToUIaZ6mrVqjFlyhTnfV9fX0JDQ9m2bRtvvvkma9Y4sm0pKSmsXLmSo0eP0r17d7Zt28Z7771HYGAgXbp04fz587z44ouEhoY6269bt855PKpXr86TTz7J2rVr73jcwsPD+fzzz4mLi6Nhw4a0b9/eua5ly5YsX76cfv36UapUKefynTt3ZngsbDYbBQsWZM6cOZw8eZJly5b9Z4N3gEsb9rN6w36Ktq/Hk1+EsL7m685zYwazkXwNKrGj9ftE/3SSAo2f4MlFQ1hbbQDVpvTgxPxNxIZfSBO8m3J4UWNmb/b0/QBrYnKavtzMJrI/mofUuES2txhJtiJ5qRf6DnGnIzC4ZfyiYLfaHtyDlzs6vGkfhzftI/CF+vRc+BZjgl5z1B4DtV5+GpvVStjSb9IFzm4mI+UaPM6H7UdzMyqWZ99qT7txPfi0x2Rnm1JPVaT91H6sePczLh25nVUr8nhJsvnl4MdV3/07D1L+FFPVhthtViw/78CQM3fGjQx3OKlst2GqHISbbwAJU/qC1YJH8564N2pPyoaFd+zTkKcw5qdakfjhG9hjrmCq3hiPtgNImjMUc1AwJMSRMLk3mN3xfP51TIFNsexZR/LS2x/ybeePY73wK8Zi5bEc2HnHvuSfub4xjJ83hpH7pacp+flwDtXuk66+IuDlRlzfFEbK+SvOZVGLNzt/tqZYiJyzmjxdnyVm3R4KD+9C+IsjwPYXXv/dMvgdtNru+N6C3ltcWlhYGHv27GH16tVYLBaaNm1KUFAQxYo54pEyZcqwapXj7ExiYiJt27ZlxIgRgCOuDQkJ+Usl2XcN3t3c3JxvkBmpVq0avr6+fP7555w6dYozZ86QkJAAgL+/vzPw3r17N0ePHmXPnj0AJCQkEB4ezoULFzh48KAze52UlESBAgV44okn0mz/ewaDwVly8nupqalp7rdr1w6A+vXrExISQnR0dJrlZcqUISAggPDwcPbs2cPo0aMBKFy4MJUqVeLAAUdpRsWKFe92iDJUo0YN3N3d8ff3x9fXl7i4O5+6u2X37t0ZHovWrVszZcoUIiMjqVu3Ln379v3L43EF2YrkxTNPTq6FOU5zn/7iG54Y3xV332zO8pmkiBjiTlwi+idHPfuljfupOvkVclUpTu4apchRPD8lezTB3S8b5hze1Fk0hDNf7cSc05vADxzHzbugP3mfKo85hxenv3S8gZ75yvF//JlIosKOk6tycRIuXiNXlRLO8Xnlz0VKzM10HwDkwcr9aF5yBPhy+reLuX5Ysp0277+CV85sJFx3/F5UbxOE2cuDQevGYTSbMHu6M2jdOOZ2Hk/slRguh58n7qrjorWwpd/QZ/Ew5/6DujWlfu8W/K//DH797nCavis/V5N9K3be9TVQ/n2mSk9hMLvj2WMMBqMJTI6fkxdPcF6Qar8RhSG77+2N3IwYvLNjj43B2KAalkPfOS8aTf1xGx5NOt21T2PxCljPH3dcoApY9m7CvdHL4JUdU+lqJG9YCDYrJCdiObALY5nqWH76BnO1hn+odzdgt6V//5J/zqNIPswBftzcexSAqC+3UmRcT4y+2bH+oXwmV/PanHtnfppl/q2DSDhyhsRbZTEGA3aLBb/nauHm5UGpz4c7+yk8rBOmXD5c/d/GO44n5eJVzHn9nPfN+fxJuXyN1CjHa5ExZzasN+Id6/LnIuXytQz3I3eWmWabqV69OgsXLsRkMhEZGYnVasXb2zvDth9//DHVqlWjatWqgCN4P3v2LHPmzKFkyZK888475MyZ86793TV4L1++PIsXL8Zut2P43UVBU6ZMoVatWsTHxzNjxgw6duxIcHAwMTExzjc6T8/bF2xZrVaGDBlCo0aNAMfpAm9vb6ZMmUKnTp2cpxZiY2MxGo3ExMSk2f73Klas6Mzk/95PP/2UJiNvMt1+aDabDaPRCOD8/9Zyk8mU7s3Zbrc7PyDcaRwGg8G53R8/OHh4eGTY7m6sVmuGxyJbtmysX7+eXbt2sX37dj755BPWr1+f5vn4L/DK60uN2f3Y/LRj5pZHW9fmxrHzaereL287QKV32+NbsQjXD54hd2Bp7HY70T+f4usq/ZztHm33FIWere6cbebCmtuzgVSb1pMbx847Z5uJOXiaIu2e5MQnm/DI7UPuqo8R/sHXJFyIotK77cleNC83T0dSrGMDLm7c/y8dDbklRx4/Osx4lclNQ4iPieOJlnWIOH7eGbgDTGt5Oxj3KxTAGxsnOi84PbDuB5oPfZkts1aScP0mFZ+pzrmDjmtjgro1pXbHxkxv9Q7Rv8vA3VK8RhlWDP/0AT9C+auS5g93/mzImRuv3uPTzAoDYLt4EoN3DtwKPYbtwq+YKgdhu3ACkhOwRZzGWKYaloPfOjLxpathvXDij92k3d/lM5irNYJsPhAfi7FUVezXr0DiTayXz2AqW4OUM0fAzYix5OPYLp6AlERMVZ/GFnUZ67G9uOV7FGPBYiSv+uiufcnfY87jR/HZr/PL069jiYnDP/gpEsPPpQvcjTmz4VEkPzf3HUuz3KvUI/g1rcmJ7hMwuJvI07kp11buJGrxZiI/vv0BrNTS97jy2bp0s838UcymMAoOfJ6rizZht1rJ3a4eUUu2g9XG9a37CXi5MREfrMCrzKN4PVaYuN2H77o/eThiY2OJjU0/u5mPjw8+Pj5plpnNZmbMmMEnn3zCM888Q968eTPc35IlS5zVIAABAQH06NGDihUrMmXKFEaNGsXkyZPTbft7d71gtWrVqvj7+zNr1ixnMLtr1y5WrFhBiRIl2L17N02aNKF169bkzp07zYWYvxcYGMiSJUtITU0lPj6el156iQMHDhAYGMiqVauIj4/HYrHQt29fNm688ydZgKZNm5KYmMjHH3/sDIq//fZbVqxYkaYO/lZZy+bNmylevLjzU8ytEphDhw4RGxtLyZIlCQwMZNkyR331+fPn+fHHH6lcuXK6vo1Go/Px+fr6cuKE4wV/y5Ytdx3z3fbz+2OU0bFYtGgRM2fOpEmTJrz77rtER0f/qUy+q4n6IZyj00Opu3wYT28eQ+EWNfmuy1T8KhXl6c1jAEi+eoPvuk7l8bFdaLR9HJVHvsz33aZhS069x97v7LuuU8kbVIFG34yn7ophHJm6kpgDp0i+Fsve1z6m5twBNN45gZylC3NgZMYXx8mDc3rvMbZ8EEqfL4czaN04qjxXi0+6T6JQhWIMWjfuntsf2fojOz9dT9+v3uWNzZMo8kRJlr41F6PZyDOD2mH2MNPl49cZtG4cg9aNo2Hfls5tcxfJR/RvF7pK5mfI7uvIxmf3BZuV5CVTcW/cAa9e4zFVqE3yqo8BSN21GvuNa3j1mYBXz3EYvLKRsvnuf9u2M0dI/X4tXh2H4dljDObqjUj6ylGmmbJpEQYPb7z6TMSrxxjssdGkfrcG7HaSv5qCuVYzvHqNw715T5KWz4JETSv7INwMO8qlGcsotWw05TZNIVfzOvzadRzeFYtTbtPtklrPIvlJjYzBbkn7HnxpyldYrt+k/NZplN8ylZv7j6UppfmrbmzeR8z6PZRdO4Hy26aTcPAk15ZuB+Ds0I/JUa005bZOp9jMgZzqPw1rXMLf7iurstkND/y2YMECGjRokO62YMGCDMfUv39/du/ezeXLl1myZEm69WvWrKFhw4bO+naADz74gEqVKmEwGHjllVfYufPeZXUG+z3SwtHR0YwdO5bDhw9jMpnw8/MjJCSEsmXLEh4ezuDBgzEajbi7u5M3b16KFStG27Zt6dixI9u2bQMcmenx48ezZ88eLBYLwcHB9OjRA4DZs2ezdu1arFYrTz75JEOHDuXixYtptv+jmJgYJkyYwI8//ojBYKBAgQIMHjzYOVVk/fr1qVSpEqdOncLLy4uxY8dStGhROnTogI+PD5cuXQLg3XffpXLlykRGRjJ8+HDn8gEDBtCwYUNmznRcmPbqq445n9euXcuUKVMYMmQI5cqV47XXXiMlJYXAwEDWr1/Pt99+m26b+vXrs3DhQsLCwggLC2PcuHHMnz+fL7/8kvHjxzN16lTnBasZHYtbF6xevnwZk8lEq1at6Nix4z2fWICl+dvfu5FkObs9dNpe0nuvq/HejSRLOfKxAkrJWLWL6Wd1+7f9UCD4gfdR5thnfyrzfvLkSVJSUihTxnGx++eff87JkycZPnx4mu26dOlCz549CQwMBCAuLo7ly5c7J3G5fv06TZo0Yffuu5/ZuWfw7opuBcx/rJnv0KGDM1DOChS8S0YUvEtGFLzLHyl4lzvJDMH7nn8heA+8tOJPtduxYwczZsxwlnX36tWL1q1b06xZM2cbu91OjRo12LVrl7O82mq1EhQU5My+z5o1iytXrjBq1KgM+7lF37AqIiIiIvI3BQUFceDAAVq2bInRaKRRo0Y0a9aM7t27079/fypUqEB0dDRmsznNdZFGo5Fp06YxYsQIkpKSKFKkCBMmTLhnf//JzLs4KPMuGVHmXTKizLv8kTLvcieZIfP+ff7WD7yPWpeXP/A+/o67XrAqIiIiIiKZh8pmRERERMSlZKZ53v9tyryLiIiIiLgIZd5FRERExKXYHvYAHiJl3kVEREREXIQy7yIiIiLiUuyo5l1ERERERDI5Zd5FRERExKXYsvC3FCl4FxERERGXYlPZjIiIiIiIZHbKvIuIiIiIS9EFqyIiIiIikukp8y4iIiIiLkVf0iQiIiIiIpmeMu8iIiIi4lJU8y4iIiIiIpmeMu8iIiIi4lJU8y4iIiIiIpmeMu8iIiIi4lKUeRcRERERkUxPmXcRERERcSmabUZERERERDI9Zd5FRERExKXYsm7iXZl3ERERERFXocy7iIiIiLgUm2reRUREREQks1PmXURERERciv1hD+AhUuZdRERERMRFKPMuIiIiIi4lK3/DqoJ3EREREXEpNoMuWBURERERkUxOmXcRERERcSm6YFVERERERDI9Zd5FRERExKVk5QtWlXkXEREREXERyryLiIiIiEuxZd3JZpR5FxERERFxFcq8i4iIiIhLsZF1U+/KvIuIiIiIuAhl3kVERETEpWiedxERERERyfSUef8PK2BPfthDkExodF+fhz0EyYTMXYY97CFIJlMmccjDHoLIHWm2GRERERERyfSUeRcRERERl6JvWBURERERkUxPmXcRERERcSmabUZERERERDI9Zd5FRERExKVothkREREREcn0lHkXEREREZei2WZERERERCTTU+ZdRERERFxKVs68K3gXEREREZdi1wWrIiIiIiKS2SnzLiIiIiIuJSuXzSjzLiIiIiLiIpR5FxERERGXosy7iIiIiIhkesq8i4iIiIhLsT/sATxEyryLiIiIiLgIZd5FRERExKXYNM+7iIiIiIhkdsq8i4iIiIhL0WwzIiIiIiKS6SnzLiIiIiIuRZl3ERERERHJ9JR5FxERERGXonneRUREREQk01PmXURERERciuZ5FxERERGRTE+ZdxERERFxKZptRkREREREMj1l3kVERETEpWTl2WYUvIuIiIiIS7Fl4fBdZTMiIiIiIi5CmXcRERERcSm6YFVERERERDI9Zd5FRERExKVk3Yp3Zd5FRERERFyGMu8iIiIi4lIyW8379OnT2bhxIwaDgTZt2tClS5c062fNmsXy5cvx8fEBoF27drRv356jR48ybNgwbt68SdWqVRk5ciQm093DcwXvIiIiIiJ/U1hYGHv27GH16tVYLBaaNm1KUFAQxYoVc7Y5fPgwU6ZMoUqVKmm2HTJkCKNHj6Zy5coMHTqUJUuW8NJLL921P5XNiIiIiIhLsRke/O3Pql69OgsXLsRkMnHt2jWsVive3t5p2hw+fJi5c+fy3HPPMWrUKJKTk7l48SJJSUlUrlwZgODgYDZs2HDP/hS8i4iIiIj8QWxsLBcuXEh3i42NTdfWbDYzY8YMmjVrRs2aNcmbN69zXXx8PGXKlOHNN99k5cqVxMbGMnv2bK5cuUJAQICzXUBAAJGRkfccl4J3EREREXEpNuwP/LZgwQIaNGiQ7rZgwYIMx9S/f392797N5cuXWbJkiXN5tmzZmDt3Lo8++igmk4muXbuyY8cO7Pb0c+YYDPdO+avmXURERETkDzp16kSrVq3SLb910ektJ0+eJCUlhTJlyuDl5UWjRo0IDw93rr906RLff/89bdq0AcBut2MymcibNy9RUVHOdlevXiVPnjz3HJcy7yIiIiLiUuz/ws3Hx4dChQqlu/0xeL9w4QLDhg0jJSWFlJQUtm7dyhNPPOFc7+npycSJEzl//jx2u53PP/+cp59+moIFC+Lh4cH+/fsBCA0N5amnnrrnY1fmXTKNfF2fIX+nxtjtdpLORHJy8IekRt2uKwtoG0SBns8675t8vHHP78++Kj2xJadSYmpvvEoUxOBm4MqSHVycFQqAZ9F8lJjaF3Ou7Fjjk/j11ZkknrgEQKl5g8lW7lGs8UkAxH73C6ff/SzNuErPH0JKZDSnhs4HwLv0I1Rc+z6JpyOcbY73nEriyUsP5LgIGEtUwb3pKyTO6HvHNubaLcEzG6lbP0+7wsMLzxdDSFn/KbbIMwAYAgrh/nQHDGYPsNtJ2bUC2+lDALgVq4j7U63BaMZ29TwpGz6FlCQwGDDXewFjkfLg5oZl70YsB75JO87ydTA99jjJK2fcz4cvd7B15/cMfW8SP2xeccc2h46E07HPYLaFLsLPN2eadf9bEsry1RsIXfQRADdi4xg1cRbhv57Ey8uTlk2fpn3bFs51Y6bM5uSZcyQnp9C90ws0f6YBAFt2fMcH8xfhZnDDJ0d2RoYM4JFCBbBarUyYOZfvf9iPxWql84uteb5Vswd0NOQWY9nqeLZ9lfiRHdKtcyv8GB7NX8Hg7oktNprkJdOxx10HwKvfBAwmd+xWCwCWn3eRumsVeHiT7e352K5edO4nZe1nWE8ddt43+OXBu98EEj95D9vFkwCYazbBXLMJ9tQUbFcvkrxqLiTeBA9vPFv3wRBQEIPBQOqP35C6M/RBHhJ5wIKCgjhw4AAtW7bEaDTSqFEjmjVrRvfu3enfvz8VKlRg1KhR9O7dm9TUVB5//HHnVJKTJk1i2LBhxMfHU7ZsWTp27HjP/h5I8H7z5k0mT57M3r17MRqN+Pj4EBISQrly5R5Edw9MqVKlKF26NACpqamUKVOG999/H09Pz/vaz1tvvcWPP/5I3759WbNmDXPnzmXbtm2cPXs23Tyh/1XZKhajYO/m/Fx/MNa4BIq825FH3niBk2/Mcba5unQHV5fuAMBgMlI+dBQXZoaSGnWDoqO7knLpGuGvTMbN24MqO6YSu/sIcfuPU3L2AC7NWUvUym/xrV+F0vOH8FPQQAB8qpbkQOM3SYmMyXBcBfu2wCewNFGrvncuy1GtFFdXfMvJIR8/wCMitxh882Cu2w7uUAdoyO6Huf6LGItVwHLo2zTr3IpWwL3+ixhy5k6z3KNZd1K/DcV64icMuQvi2f5tEme+Ch7eeDzTlaTFY7Bfv4L5qTaYn2pD6pZFmCrVxc0vL0mfvgPunni2fxtb5FlsEafBMxvmJ4Mxla2F7fyxB3Ys5Laz5y8yadY8bBnUjN4Sc/0G702aRWqqJd26Hw/+wieLlpLTJ4dz2fjpH+Pt7cmqzz/GZrPRP2QUBQvko27tGrw9ejLFihRm/Ig3ibhyleCOfaj+eEV8c/rw1qiJLF8wm0cKFWDhlysZO+0jPpw0iqWr1nPu/EVW/u8j4hMSeLnn65QtVYIKZUs9kGMiYPDPj0fTjhm/XhhNeL40mKQvp2A7G46pRmM8Wvcl6bP3weyBW658xI/uAjZr2s0eKYn1zBGSPnkv405NZjzbDQDj7ZDKWKw85qBWJM4OwR4bjalKEJ6tepG0eBLujV7AFnuNlMWTwOyB98BpWM8cwXbu+P08FP95mW2e9/79+9O/f/80y+bOnev8uXHjxjRu3DjddqVLl2bZsmV/qa/7XjZjs9no3r07OXPmJDQ0lFWrVtG3b1+6d+9OTEzGAVJmtmrVKlatWsXatWtJTk5m+fLl972PlStXsmbNGpo3b+58on/55Rdu3rx53/vKrOIPnuLHmq9ijUvA4GHGPV8uUmPu/PgL9mtJalQskf/bDMDpYZ9weuRCANzz+OHmbsYSl4B7vlx4lShIVOh3AFzf9hNu3h5kq1AUj0fyYMzuRfEJPai8bTIlpvXB5Jvd2UfO2uXwrVeZiAWb0/TtU60UXo8VouL6sVRcP5ZcTWvc78Mht5jccW/Wg9TtX92xibHik9guHMeyd1O6deYnGpKyfj72m9fTLE9aMBLriZ8AcPMNwJ6UAHYbxiLlsEWcxn79CgCWn7djKhvo6Oexxx0fDuw2SE7AeiwMY9majmGWqoY9/gapO+48Trl/EpOSCBk1kTde7XHHNjabjZBRExnQs3O6dVHRMbw/eTaD+nZLs/xI+Amea9wAo9GI2WzmqVrV2bz9W27ExrF770/07toegHx5Alg8Zyo5fXJgs9qw2yHuZjwACYmJeLi7A7Blx/e0bNYIk8lITp8cPNMwiDUbt92noyDpmN3xfL4/yWs/y3C1W6Hi2JMTsZ111CJb9m3FWLwCeGfHWPgx7ClJeHYeiteAKbg36wwmx/NofLQUBq/sePUcjderEzHVSBuAeTTvTuqP27EnxN3uq2AxrCcOYo+NdvR1eA/GMlXBaCJlzSekrHNc8Gjw8QOj2fEaJPIn3ffM+w8//MCVK1fo378/bm6OzwaBgYGMHTsWm83xOemjjz5i9erVGI1GateuzZAhQ7h8+TJ9+/alcOHCHD9+nPLly1O9enVWrlzJjRs3+OCDDyhevDj169enfv367Nu3D4AxY8ZQtmxZwsLCmDp1KklJSdy4cYMhQ4bQpEkTQkJCyJ49O7/88guRkZH07duXVq1a0bBhQ+bPn0/RokVJSEigSZMmbNq0CQ8PjwwfV2pqKomJieTO7cjgRUVFMXz4cCIiIjAYDAwaNIhatWoxc+ZMIiMjOXv2LBcvXqRt27b07t3bcfp0wgTCwsKwWq0EBwfTuXNnevXqhd1up23btrz33nu89tprzJkzhy+//BKAAgUKUKBAASZOnAhAzpw5mTx5Mrly5brfT91DZ7dYyfVMNUpM7o0tJZVzE77MsJ0pVw4K9nqOnxu9kXaF1cZjs/qT+9lArq0PI/HEJbJXLk5KRAz8LjuXcukaHvn9MZhMXN95kJMhc0mNiqXoe50pMbUPx7pMwD2vH0Xf68ovL7xHvo6N0naTkETUyl1ELNiE12MFKb9iJMkXrhJ/8NT9PiRZnnujjlgOfIPt6vk7trF8vxoAc60W6dYlL5ua8UZ2x2uRZ/dxGHxyk7ptMdjtGHLkwhYXfbtZXAwGD29w98SQIxf2362zxUVjDCjkGMNv5TPGcrX/0uOTv2fkhJm0bdGEkiWK3rHNrHn/o0KZktSu8USa5VarlTdHjGdQ327pvsWwQrlSrNm4lSoVy5Kaksrmb77DZDJy7sIlAnLnYuGXK9m1Zx8pKal0fimYIo84nv93hvTj5V6v4+vjg9VmY9FHkwGIvHKVfHlun/XJG5Cb4ydO36/DIH/g0aoXqT9sxnb5bIbr3XLmxn7j9sWBWC3Y42Nx8/EHD0+spw47SlusFjyffw33Z9qT8vWn2G1WLMf2kbptOYYcvnh1H4k9LgbrkTBMVRuA0Yhl7xbc67W+vevzJzDXaorBNwD79auYq9bHYDJj8M7uKNOx2fBo1x9T+ZpYjoRhv6qyy7/Kxp3Puv3X3ffM+5EjR6hQoYIzcL8lKCgIf39/duzYwbZt21ixYgUrV67k7NmzzkA1PDycPn36sGHDBg4dOsTFixf56quvePbZZ/nqq9sZLV9fX0JDQ+nfvz9vvvkmAIsWLWL06NGsXLmS999/n9mzZzvbR0REsHjxYj788EMmTJiAm5sbLVu2ZPVqx5v+pk2bqFu3boaBe4sWLWjRogVPPvkkV69epWZNR6bt/fffp3Xr1qxYsYIPP/yQ4cOHOzPl4eHhzJ8/n6VLlzJnzhxiY2OdUwatXLmSZcuWsXXrVvbt28dHHzlqLVetWuUMyEuUdP8eswAAIABJREFUKMELL7zACy+8QOvWrZk9ezYjRoxgxYoV1KtXjyNHjvzzJyqTit6wl7ByXTk/aSnlvnwnw1Of+V5+mmsb95J87kq6db/2m8EPZbti8s1O4UFtMLhl/Ctut9m4+dOvHOs6kdQrjhfS85OW4NfwcQzuJkp+NJDT73zqWPcHp0LmEbHAkeVN/PUiUau/J1fjqv/wkcsfmSrXA5sN6+Fv7934b0qaG0LSvBBMNZri9kjpO5bmYLdlvM6e2U7c/vd9ueJrTEYjwc+mP/18y47vwzj4Szh9ur2cbt20jz7jicoVqFX98XTrhvTrjgEDbTv3o/9b71GzWhXMZhOpFgsXLkWQLZs3iz6azKRRIUyYMYdfjv3K8ZOn+ejTxaxa9DHbV39Oj04v8Nrbo7Hb7RmW9BiNmifiQTAFNgarFcv+u5zZuNPft82G9eg+kpfMgOREsKSSsn05prKOs6qp25aRunUp2G3YY6NJ/WETpnLVcStQFHONRiSHpi+htJ05QsrWpXi+/AZefcdjt9uwJ8Q56+kBkpfMIH50Fwxe2XFv0PYfPX7JWu575t3NzS3DeStv2bNnD82aNXPWjbdu3ZrQ0FCCgoLInTs3ZcuWBSBfvnzOQLlAgQJcuHDBuY927doBUL9+fUJCQoiOjmbixIls376dDRs2cODAAeLj453ta9eujcFgoGTJkly/7gjGgoOD6dKlCwMGDGDlypW8/vrrGY531apVgOMU7OTJkxk4cCDz58/n+++/59SpU8yY4bgwzWKxcP68IztYo0YN3N3d8ff3x9fXl7i4OHbv3s3Ro0fZs2cPAAkJCYSHh1O16r2DvgYNGtCvXz8aNmxIgwYNqF37v5fd8yySD3MeX+LCHPXCkV9so/iE7ph8s2H5Q/lM7ha1ODXskzTLfOtWIuHoOVIiY7AlJBEV+i3+zQKJXLQF9zy+adq6589F8qVr+NQogylnNqI3Oc7iYDCAzU72SsXxfCQPRUZ2crTP44vB6Iabh5kTQ+ZQ6NWWXJ63znmRq8FgwJ6atkZS/jlj+doYTO54dhoBbib47efkZdOwx6f/UPWnuRkxlnwC67G9gB37jShsZ4/gludR7HHXcMt/++usDTn8sCfehNQU7HHRGLL7pl0X53qlgK4udN1mkpKSad2pL6mWVJKTU2jdqS8fThpFngB/AFZ+vYnIq1G07fKqc7uur4bw3tCBrNm4lVx+vmzd8T0JiYlcuXqN1p36snzBB8THJzCobzdnHfz8RUt4pGAB8uR27Ldl04YAPFKoAI9XLMeho+EkJiZRpUJZHilUAIAXg59lwow5XL8RS/68AVy9dvtszZWoa+QNSHv9hdwf5sfrgdkDr1cnYTCawOyO16uTSPrsfeffqe16FIYcfrc3cjNi8M6BLfYaxtJVsSclYDvzW3LMYACbI9A212yC5cje21l7gwGsVkyP18Xg6Y1XrzGOxTn88Hx+AMnrF2I9eRjr6V+w7NvqWJc9Jzz9IiTcxPhYZWwRZx3jSknCcuBbTOUD/50D9R+SdfPuDyB4L1++PIsXL8Zut6eZaH7KlCnUqlXLWTrzexaL4w/E/bc6wVuMRmOGffz+VKfNZsNoNPLSSy9Ro0YNatSoQc2aNRk8eLCzza2M+u/HU6hQIQoUKMCmTZu4du0alSpVuuvjcnNz47nnnmPx4sXOfhcsWICvr+PNPDIykty5c7Nly5Y0GXyDwYDdbsdqtTJkyBAaNXKUYERHR6f76tw76dy5M/Xq1WP79u1MnDiRgwcP0rt37z+1ratwz+tHyQ9f4+eGg7FExxHQ+kkSjp1PF7gbc2bDs2g+4vaGp1meu3kt7E1rcPKNORjcTfg3r8WNHQdJuRxN0pkIcreoTdSq7/CtWwm7zU7C0XP41qtM0THdiA07huX6TQr2acG1r/cQtzecfU/0cu678OB2mHPlcM42k6txNWzJqVz6aA0ehXLj3yyQw21GPPBjlNUkLxrt/Nng449nl/dIWjDin+/YZsVcpxUYDFiP/oAhmy9uhUtj+XEbtrhruNd9HoNvHuzXr2CqVBfriZ8BsP76E6bydRz33T0wla5OyqaF/3w88pd8OW+68+eLlyNp2aEXyxd8kKbNtDHD0twvX7sJn8wch59vTr5Zvdi5POzHg4yZMtu5/Veh64iPT+DtQX2Iio5h2eoNTBj5JoUK5KNsqRKsWreF9m1bEBUdw8+HjtKlfRsSEhL5YvkaoqJjyJ3Lj207d1Mwf178fHNSr04gK9duom7tQBISE1m/ZQfDh/R7gEcn60qcHeL82eAbgPdrU0mcOThNG9v5XzF458DtkVLYzoVjqlof67njkJSAIac/7vXbkDhnOFgtmOs8h+WgY6ICtyJlMOcuQMqa+eCVHXPVBiSvmY/1xEFSvv7UuX/vNz4k6avp2C6exJC7AF6vjCBh6gBITsRcvy2pBxxnEU0VakG5Go6MvdGEqWItrL8eePAHSf4z7nvwXrVqVfz9/Zk1axZ9+vTBaDSya9cuVqxYQceOHUlMTOTDDz/k+eefx2QysXz5cgID/9onzrVr19KhQwc2b95M8eLFsdvtnDlzhsWLF+Ph4cHMmTOxWu+dCW3dujWjR4/m5ZfTn1rNyO7du51nBgIDA1m8eDF9+vThxIkTtG/fnq1bt95x28DAQJYsWUK9evVISUnhpZdeYuTIkdSokfHFjkajkeTkZADatm3LyJEj6dy5M76+vnftx1XF/nCUC9OXU37FSOwWKymRMRztMoHslYpTfHIvDjQcAoBX0XykRMZgt6R9fk+PWEDxCT2p/M0UsNuJXr+XS3PXAhDeayolJvem0MDW2JNTCe8+Gex2rm/7icvz1lFh9WgMbgbij53jxKCP7jnW432mU3xCD/I8XxeD0Y3Twz8l8deL99xO7g9DNl882rz2jzLwyaGzcG/4MubqTcBuJ3XHUuc0ksnrP8GjRV8wGrFfv0ryunmA4+JVg28ePDuPBKPJUYt/QbNDZBZXrl6j9+DhaTLwf1X3Du14671JtHzZcS1Sn24vU6GMY2aY6WPeYfSUD1gSug6b3U6vLi8513V5qQ1d+r2J2WwiZ44czBz3LgDPt3qW8xcv07pTH1ItFtq2aEK1KhXvzwOWP8WQww/Pzm87M/BJiybg0fwVcPeEhDiSlvx29jxsE2658uL96kRwM2I9dZiUrY5y1+TV8/Bs2ROv16ZhMBpJ3b0e64mDd+3XHnWJ1B0r8e4zzpEoOHOM5NWO15LkdZ/h0bInXgOmAnasR8JI/X7tAz0O/0VZuWjRYL9bjcvfFB0dzdixYzl8+DAmkwk/Pz9CQkKcge/s2bNZu3YtFouFJ598kpCQECIiIujYsSPbtjnq1Tp06EC/fv2oUaMGK1asICwsjHHjxlG/fn0qVarEqVOn8PLyYuzYsRQtWpRx48axZcsWsmfPTuXKlVm/fj3bt29n1KhRVK9eneDgYMAx/eOtb71KSkqiRo0abNq0ibx586Z7HL+fKtJiseDn58fIkSMpXrw4kZGRDB8+nEuXHBeZDB48mKCgIGbOnAnAq686TtfWr1+fhQsXkjdvXsaPH8+ePXuwWCwEBwfTo0ePNGO6cOGC8xjs3buXN998ky5dulCiRAnGjh2LyWTCw8ODkSNHUrJkyXs+D9/la/O3n0P576oyyOfejSTLMXcZdu9GkqUkTx7ysIcgmVT2sfd/5r2/6vUiLzzwPqacyXjijIftgQTvD9KtYLhQoUL/aD92u52dO3fyxRdfOC8a/a9R8C4ZUfAuGVHwLn+k4F3uRMH7w5Vlv2F1zJgxbN++Pc0E+iIiIiKS+blU5vk+c7ng/VZZzT/19ttv8/bbb9+XfYmIiIiI/BtcLngXERERkawtK1+wqm+LEBERERFxEcq8i4iIiIhLsWfhqndl3kVEREREXIQy7yIiIiLiUlTzLiIiIiIimZ4y7yIiIiLiUmyqeRcRERERkcxOmXcRERERcSlZN++uzLuIiIiIiMtQ5l1EREREXIpq3kVEREREJNNT5l1EREREXIrmeRcRERERkUxPmXcRERERcSl21byLiIiIiEhmp8y7iIiIiLiUrFzzruBdRERERFyKymZERERERCTTU+ZdRERERFxKVi6bUeZdRERERMRFKPMuIiIiIi7FZlfNu4iIiIiIZHLKvIuIiIiIS8m6eXdl3kVEREREXIYy7yIiIiLiUmxZOPeuzLuIiIiIiItQ5l1EREREXIq+YVVERERERDI9Zd5FRERExKXoG1ZFRERERCTTU+ZdRERERFyKZpsREREREZFMT5l3EREREXEpmm1GREREREQyPWXeRURERMSlaLYZERERERHJ9JR5FxERERGXYrer5l1ERERERDI5Zd5FRERExKVk5XneFbyLiIiIiEvJyhesKnj/D+tsPf2whyCZ0HMfPPawhyCZ0Btruj7sIUgm0/tMjoc9BMmkVo592CPI2hS8i4iIiIhL0Zc0iYiIiIhIpqfMu4iIiIi4lKx8waoy7yIiIiIiLkKZdxERERFxKfqSJhERERERyfSUeRcRERERl5KV53lX5l1ERERExEUo8y4iIiIiLkXzvIuIiIiISKanzLuIiIiIuBTN8y4iIiIiIpmeMu8iIiIi4lI0z7uIiIiIiGR6yryLiIiIiEtRzbuIiIiIiGR6yryLiIiIiEvRPO8iIiIiIpLpKfMuIiIiIi7FloVnm1HwLiIiIiIuJeuG7iqbERERERFxGcq8i4iIiIhL0VSRIiIiIiKS6SnzLiIiIiIuRZl3ERERERHJ9JR5FxERERGXYs/CU0Uq8y4iIiIi4iKUeRcRERERl5LZat6nT5/Oxo0bMRgMtGnThi5duqRZv2XLFmbOnIndbqdQoUKMHTuWnDlzEhoayqRJk/D39wegbt26DBw48K59KXgXEREREfmbwsLC2LNnD6tXr8ZisdC0aVOCgoIoVqwYADdv3mTEiBEsX76cvHnzMn36dGbOnMmwYcM4dOgQISEhPPvss3+6P5XNiIiIiIhLsf8L//6s6tWrs3DhQkwmE9euXcNqteLt7e1cn5qayogRI8ibNy8ApUqV4vLlywAcOnSI0NBQmjdvzuDBg7lx48Y9+1PwLiIiIiLyB7GxsVy4cCHdLTY2Nl1bs9nMjBkzaNasGTVr1nQG6gB+fn40bNgQgKSkJObMmeO8HxAQwKuvvsqqVavInz8/o0aNuue4FLyLiIiIiEux2+0P/LZgwQIaNGiQ7rZgwYIMx9S/f392797N5cuXWbJkSbr1cXFxdO/endKlS9OqVSsAPvjgAypVqoTBYOCVV15h586d93zsqnkXEREREfmDTp06OYPs3/Px8Ulz/+TJk6SkpFCmTBm8vLxo1KgR4eHhadpcuXKFbt26ERgYyNChQwFHML98+XI6d+4MOD6QmEz3Ds0VvIuIiIiIS/k3Zpvx8fFJF6hn5MKFC8yYMYMvvvgCgK1bt9K6dWvneqvVSq9evWjSpAl9+vRxLvf29mbevHlUqVKFSpUqsWjRIp5++ul79qfgXURERETkbwoKCuLAgQO0bNkSo9FIo0aNaNasGd27d6d///5ERERw5MgRrFYrGzduBKB8+fK8//77TJs2jREjRpCUlESRIkWYMGHCPfsz2LPyV1T9xz0W8MTDHoJkQs9le+xhD0EyoTceiXjYQ5BMpveZHA97CJJJrTy35mEPgSr5aj/wPn6K+O6B9/F36IJVEREREREXobIZEREREXEpme0bVv9NyryLiIiIiLgIZd5FRERExKX8lW9A/a9R8C4iIiIiLsWWhedbUdmMiIiIiIiLUOZdRERERFxKVi6bUeZdRERERMRFKPMumcbL3drxUuc22O12zp25wNuvjyY6KibDtuNnjuD40ZPMn/0/AHL6+jBy4luUKV+SxIQkln+xmv/N+8q5bvjYNyhRqigenp58OHU+q5auA6Du03UY9HY/3D3MhB85wdABo7h5Mx43NzeGvvc6derVxGQyMv+D//HFguUAPFqsMGOnv4ufX07i4xN4o++7nDpx5sEfoCyqTsfG1Hq5IXY7XDsXyZKQOdy8Fpth2/KNqvLS5D4MrdDVuaziM9Vp0LclJnczMRevsvj12SRcv8mry0fh7uXubJenWAH2fLGVlSMXOJc9M7At3r7ZWfHupwAYDAaavfkiZetXwW6zc/VMBEuHziU+Og6zpzvPj+9JwXJFMBgMfD1+MYc37XtAR0W8g1vh1aI52MF66SKxEyZhu349TRuPJ+uQvWsXsNmxxcURO2Ei1kuXwM0Nn9cG4F65EgDJe34gbvaHGB99FN/h79zegdENc7FixAx7h+SduzBXqkiOXr0weLhjj4/nxphxWC9fxpAjBz6DBmIuUQJ7UhKJ69aTsGJlmrEY8+fDf+4cogcNwRIe/sCPT1bUpFMznunQFOx2Is5eZvabs7hx7cZfbvPmx28RHRnN3OEfA+CXNxevThqAb4Afbm4GVn64nB0rvwHgkVKP0n1UT7xzeGOz2fjwrQ84degkAM8PfJE6zz6JzWbj5KETfPjWB6Qmp+Lu4U6nt7tQumoZPL092fzFRkI/Tvv7Ivemmvc/acOGDQQHB9O8eXOee+455s2b97c7nj59Olu3bv1b2164cIFSpUoxfPjwNMuPHj1KqVKlWLFixd8eV2Y2Y8YM9u37bwYD5SqWplufDrRr2pVmTz3PmVPnGRjSO1274o8VYeGKj2jS/Ok0y4eOHkRCfAJNarel7TOdeKpBLeo9/STgCPQjLkXSon57OrfuzTtjhpAvfx5y+fsybvq79Os6hMY1W3P+zAUGv/MqAC90as2jxQrT7Ml2BD/dgU49X6JilXIATP5wNF98uowmddoyY8LHzPr03l9lLH9PofJFqdvjWWa0Hs7ExkO4ejqCJoPaZdg2d5F8NB/6Mga32y9rhSoUI3hUFz7rPdW5fdMhzwMws/VwJjcNYXLTEDZMWcq181dYP2UJADnz5aLT7IHU7fFsmj6qt6tLoQrFmPzsW0x85g2izkTQ/O0OADR+rQ3J8UmMbziIjzq8T+v3upIzX64HcViyPFPJkmR7/nmi+/TjWucuWC9cJPsrXdM2cncn57C3uT5sONe6vULyd9+RY4Dj79urUSOMjxQmqnNXorp0w71SJTzqBmE9e5Zr3V5x3lL27iVx8xaSd+7CLSAAv9HvETt1Kte6vkLSjp34vD4QAJ9X+2JPTCSqY2eu9eqDR2ANPGrWTDcWTOZ/6xBlOcUqFKdlj1a81WoIA57ux6XTl3lx8Mt/uU3LXsGUqV4uzbKX3+jIrz8d5/Vn+jOqw7v0fL83vgG+uHt68O7no1j50XIGNX2NpdO/YuD0wQCUCyxPneeeYlDT1xjwdD+8snvTrLPj9aTD0M5k983BkGdfZ8hzr9OkYzNKVin1AI+O/Nf86eA9MjKS8ePHM3/+fFavXs2XX37JunXr/nYAPmDAABo0aPC3tgXw9fVl165dWK1W57J169aRK9d/981y7969aR7vf8kvB4/xdI1W3Iy7ibuHO/nyBxATcyNdu/bd2rH8i9WsX705zfLyFUsTumQdNpuN1FQL32z+lmeaNyCnrw+1g2owc9JcACIuX6FN405cvx5Lnbo1OfTzEc6eOg/A4s+W0bxNEwAaNa3L8i/WYLVaib0Rx9qVG2nRtil58wVQ/LEifL1yIwA7t36Pl7cXZSuWfpCHJ8u6cPg0Y+q+RlJcIiYPMznz+REfczNdO7OnO+2n9WPV6P+lWV61VR1++Go7MReuArBx2lK2fZT2a729c2ajzfvdWPz6bJLiEgGo8Xw9Tu09xjdz16ZpG/HrBdaMWYQ1xQLA+UOnyFUoNwAVGldjz5eO18Prl64RvusQlZsF3oejIH9kOX6cqy+1xx4fD+7uuOXOje1G2rMxBqMRg8GAIVs2x30vL0hJcaw0umHw9ASzGYO7O5hNt9f9xlyxAp5BQcROngKAZ90gkn8Iw3L8VwASVq8hduYsAEwlS5G0cTPYbGCxkLx7D551g5z78hk4gMT1G7DfSP+aJvfHqUMn6RPUk4S4BMweZvzz5SIuJvYvtSlfswKPBz3OxkXr02znZnTD28cbAA8vD6xWG3abncpPVSHybAQ/bt8PQNjmH5jUZ7xzG3cPM+6e7pjMJtw93ElJTgWgbnA9vpj8OTabjYS4BN554W0unLzwwI7Nf5X9X/iXWf3pspmYmBhSU1NJSkoCIFu2bIwbNw4PDw8ADh48yNixY0lKSsLPz4+RI0dSuHBhOnToQIUKFdi/fz/R0dEMGzaMoKAgQkJCqF69OsHBwSxfvpxPP/0Ug8FAuXLleOedd8iWLRuBgYGUK1eOqKgoli1bhtl8O2uRLVs2Spcuzd69ewkMdLxBfvfdd9SqVcvZZtGiRaxatYrExEQMBgPTpk2jePHi1K9fn+bNm/Ptt9+SmJjI+PHjKV++PGFhYUydOpWkpCRu3LjBkCFDaNKkCREREQwePJgbN25QsmRJ9u7dy86dO4mPj2fUqFH8+uuvWK1WunfvzrPPPsuKFSv45ptvuHLlChEREXTq1IlLly6xZ88efH19mTdvHh4eHoSGhrJgwQJsNhvlypXj3XffxcPDgzp16tC4cWP279+P0Whk2rRp7N+/n8OHDzNs2DBmzZpFqVL/vU/pFouFhk3q8v7Ud0hJSWHa+I/StRkV4shy13qqeprlB348TMt2Tfkx7ADuHmYaP9sAi8XCo0ULczUyiq692/NUg1q4u7sz/4P/cebUOfIVzMvlixHOfURcukIOn+xkz56NfAXzEfH7dZevULrsY+QvmJfIiCjsvztdF3H5Cvny5+HIwWP3+5AIYLNYKd+oKu3G9cCaYmHDlKXp2rQd053dn2/h0rFzaZYHFM3PpWPn6Dp3MLkKBXD52DlC31uYpk393i04uv1nLhw65Vz2//buPD7Gc///+CuTFSGLfS8tQRxUkdgbnJLqaUSUUltPV1vbn1J6LKXCQaKW0KaK+MYaIii11d6eiqXa0tZWe4pokISEZDK5fn+kHVIc9NQy9X4+Hh6PzNz3dd3XNXOb+zOf+7quWTc5b4hU67c65Nv3+O5D9r8LFCnEU2+EsW3eegC8yxQl9fQ5+/a00+fwKl30D/Zabslmw71JE7zeGYixZnN+1qx8m83ly6RN+ICiH04lNz0dLBbO98nLvF9evQaPJ5+kREI8ODuTvXMnWV9ty1e+cO9eXPxkJiYzEwCXcuUwVy7j9d5wXMqXx3Y2mYtR0wCw7vsRj9Z/J3vvXpzc3HBv3gxy8r7gFWjbFidnFy6v/AzPbt3u9qvyULPl2GjwVCB9xvfDmm1lwYR5t72PT0lfXhrxCu93e4+nXmiTr8zcsf/H6PhxNGrbmCK+XswOn0XauTTKVC7DhV8u0Gd8Px6pUYmM9Axix8wGYO9/9vDdl98yPXEWOdYcTh3+mXXz1uBV1IsChQpQu2lt+ozvR6Eihdi4eD0rZ634fVNFbuq2M+/VqlWjZcuWtGrVig4dOhAREUFubi4VK1YkOzuboUOHMmHCBJYuXcqLL77IsGFXxw1arVbi4uJ49913mTx5cr56Dxw4QHR0NHPmzGHFihUUKFCAqVPzshkXLlzg1VdfZfny5fkC998EBwezdm1eBnTPnj34+fnZ97t06RLr169nzpw5rFy5klatWjF//nx7WW9vb+Lj43n++ef5+OO8cW1z584lPDycpUuXMnr0aD788EMARo8eTXBwMCtWrKBNmzYkJycD8NFHH+Hv709CQgLz5s0jOjqakyfzsrh79+5lxowZzJs3j7Fjx9KsWTNWrMj7z/nFF19w6NAhFi1axMKFC1m+fDlFixZl5syZAPzyyy80bNiQZcuWUb9+febNm0e7du2oWbMm4eHhf8nA/TfrV28moFpLosZPJyZuKk5OTrdV7t/DJ2IMLN84jw9nR/KfLduxZltxcXWh/CPluHQxg+fbvsRbr77Lv8Lfxr9WNSyWG9dty7XdcJstNzffkIxr5ebm3n4n5Y59v24Xw+u+ytpJ8bwW+26+86JR17+Ta7OxY/Hm68pZXJzxb1mXxf/6hAlPDyb9lzQ6jn3Vvt3F3ZXAzi1YP23ZHbWnaIWS9F30Hkd37efL2LzPICen688NY9N5cTdlffklZ58N4VLMbHwiI+Ca88KlciU8e/QgpXtPfmnfgYw5c/EeNRIAz549yE1N5WxIKL+EPYdT4SIU7HR1OJZrTX8sXl5cWb/+6sFcXHBv3IRLM2dy7uVXyP56N97howC4OO0jMFB05gy8w0eRvXMXxpqDS9UqFAx5lrRfs/dy9+1Yl0iPOi8QN3E+w+e+f8NryO/3cXFz4e2pA5k1cgYXzl4/z+r/TRnA0uglvFS/J2+07E1orzCq1K6Ci4sLTwTVY938tQx8pj+rYlYydPZ7uLi50LJjK0qUL8k/6/Xgn/W6k3wymZ5D/4mzizPOLs6UqlCa4c8PYWS392j9QjANntJdujuVa8xd//eguqMx7yNHjmTjxo107tyZU6dO0bFjR9atW8exY8c4efIkvXr1IiQkhMjISHsQC9C0ad7Y4ypVqpD6uwlFO3fuJCgoCB8fHwA6depEYmKifXvt2rVv2p6goCC2bt1Kbm4uq1evJjg42L7N09OTCRMm8NlnnzFhwgQ2bdpE5q8ZlJu1KSIigkOHDjFt2jRiYmLIyMgA8jL6ISEhAPz973+nSJEiAHz11VcsXLiQkJAQXnjhBTIzMzl0KC8zV7duXTw9PSlbtiwADX8d/1i2bFnS09PZvn07x48fp2PHjoSEhLBhwwaOHDlyw/alPQS3WitUKscTAXXsj+PnL6dM+dJ4eRe5rfKehT0ZP3IybZt1oudzfTC5uRw/epKzZ/KGSyQsyPvidOJoEl9v/5badWtyKukMxUsWs9dRsnRxUi+IRwcEAAAYPUlEQVSkcTnzyq/bil/dVqo4Z04lczrpDMVL5M+m/rZN/nzFKpakUr2rX1a3L9qET9niFPAqZH+uQYfmlK/1KG+vGssrMYNw9XDj7VVjKVLCh/SzF9i/dQ8Xf0nDGMOOxZt55PEq9rLVn6zDqR+Pc/7k2dtu02MNa/BGwvvsXLKV+CEz7c+nnkqhSAkf+2OvUr6knjn/R7su/4Vz2bK4/u1v9seXV63GuWRJnAoXtj/n1qAB1u/35k1QBTKXLsOlUiWcvLxwb9aMy6tWQU4OJiODK2vW4vb44/ayHi2CuLx2HVxz8c5NScH6w/fYkn7OO+Znq3Ct8hi4ueFUsCAXP4rmXM8XufD2ADAG288/U6B1a5wKFaToh9MoOnMGlmJF8R42BPfGV+8Qy5+jVMXSVK9fw/54Q9x6ipctjqeX5y33eaxWFUqWL8mLw17ig9WTaf1CMI3/0ZTe4/pR2KcI1epX5/MFeV/STx87zXdffEuNgJqcTz5H0k9JHPr2IJA3bMbibKFUhVIEBjdi69LNXMm4TE52Duvmr+FvjWqRfj4da7aVzQmbMMaQlpLKrg078Xvir5uUkz/fbQfvmzdvZtWqVZQsWZKwsDAmTpzI0KFDiY+PJzc3l3LlyrF8+XKWL19OQkJCviz3b0NrbvQN+PcZS2MMOb/ebgTw8PC4aZs8PT2pVq0aX3/9NYmJifmGzJw+fZpOnTpx8eJFmjVrRmhoaL6hDjdqU5cuXdizZw81a9bk9ddftz/v7Oycr+y1bY+IiLD3e9GiRfag+/d3Clxc8o9QstlsBAcH28suXrw43wTca9t3o2P/1ZQoWYxJ08fg4+sNwLMdgjm47zCpNxj3fiOde4bx5uC896xocV86dgtlxZI1JJ04xfff7SP0+Wfs2x6vX4u93/7Il5sTqfPE36hYufyvdXRgw5otAGxYs4UOXZ7F2dmZwkU8eSa0NetXb+bM6bOcOJZE23ZPAdAkqCEm13Dgx5/+1NdD8hQu4UO3qDco5JMXlD3RrglnDp4kM/XquPdJ7YYS0XogE54ezCcvjsN6JTsvy372At+t2k6NoMcp6J13Aa/VpgEn9lz9kvxoQHUO/uf7227PI3Wr8uLHb7Pg7Q/Z/MnKfNu+/3wXgZ3z5vF4lfKlWvPa/Lhh9x/uu9ycpagv3u8Nx8nLCwCPv7ci5+hRTPrV8cs5Bw/iVrsOll8TQ+5Nm2A7fQaTlkbOwYN4BAXl7ejsjHuTRlh//NFe1q12HbK/zv/eXfniS1xr1sS5dKm8+po1xXrkKGRnUzDkWTxfypswa/HxocAzz3B5/XouRk0l5YVu9gmwuSnnSB01mqz/fHXXXpuHlU9JH/pPHUhhn7yET7PQ5pw4cIKLqRdvuc/+Xft4JfCf9A9+k/7Bb7J23mr+s+ILPhwUxcUL6Zw7fY5GTzcGoLBPEWoE+HPw2wPs3vw1JcqXoPLfHgWgRgN/MIbkk8kc2XuYwOBGWJzzwqzA4EYc2H2AHGsOu9bv5MmwFgB4FPSgdtM6/PTd1SF5cns05v02eHh4MGrUKGrVqkW5cuUwxvDTTz9RvXp1KleuTFpaGrt27aJevXosWbKEFStWMGfOnFvW26BBA2JjY+nduzfe3t4sWrSIgICA2+5AcHAwEyZMoGbNmvkC5L1791KxYkV69uxJdnY20dHR/3Uya2pqKseOHWP+/Pm4u7sTFRVlnxzaqFEjVqxYQZcuXdiyZQvpv14gAgMDWbBgAeHh4Zw9e5Z27dqxcOHC22p3QEAAs2bNolevXvj6+jJixAgqVKhAv379blrG2dn5LzthdVfit3w0cRZzl32MzWYj+cwv9O7xNjVrV2fMpGE8G9Tlv5b/eFIMER+O4rOtcTg5OTFl/Mfs/TbvYty7xwBGjBtE5x5hWCwWpkV+Yt82+M2RRM0cj5ubKyeOJTGwT94XqPkx8VR4pBwrNi/A1c2Vhf+XwI6v8i7mb736LqM/GErv/i+RlZVNv5cHPRRfsO6Hozv3s37aMnovHE6uzUZ68gVmvRJJub9VptO4V5nw9OD/Wv7HDbvxLl2UPnHv4WRx4sLPKcS987F9e7FHSnHymmD+Vlr/vw5A3nKRbQd1BuD8ybPEvPYBayYupkP4y7yzLgInZwsrxszj3AndkbkbrHv2cmnOHHwnTwKbjdxzKaQOGYqLnx9e7wzMWylm9zdkLFyI75RJGKuV3PSLpP5rCADpU6dR5M03KDYnFpNrI/vr3WTMu5pwci5XFtuZM/mOmfPTT6R/MBHv8HBwccZcvETqe+8BkDF3Hl5Dh1B0dgw4waWY2eTs13KQ99K+HT8SH7WI8EVjsOXYOJ98nrGvjObRWo/RZ1w/+ge/edN9buXfL43i5fdf47k3n8fk5pIwbTH7duRdQ8a+PJrXwnvhUdADa7aVca/9G2uWlfhpi3hx2MtEbfgQa7aVYz8eZfqwvHlcHw6K4qWRrzJlwzQsFgtbl29h2yp9oZPb52TuIOpYunQpM2fOxGrNmzHdtGlT3nnnHdzc3Pjmm28YPXo0WVlZeHp6Mm7cOCpUqEC3bt3o27cvAQEBJCUl0b17dzZu3JhvwurixYuJjY3FarXi7+/PyJEj8fT0xM/PjwM3WA/32noyMjJo1KgR0dHRNGzY0F5v69at6du3L8nJybi5uVGrVi0OHTrEggULaNGiBbGxsZQrV47t27czdepU5syZw9ixY1m/fj2enp7UqVOH1atXs2nTJi5evMigQYNITU2lWrVqbNiwgZ07d3Lp0iVGjBjB/v37sdlsvPrqq4SGhpKQkMCOHTsYO3YsQL5+/L7fv01YrV69OmPGjMHd3T3f/tfWNXPmTBYuXMi4ceOoW7fuLd+vKsWfuN23Vh4i/yhU5dY7yUPnnQpnbr2TPFR6HSt8653kobT0xP2fYPtosVvHQf+rwykP5t3TOwreH1axsbE0atSIxx57jB9++IFhw4Y5xFryCt7lRhS8y40oeJffU/AuN6Pg/f7SL6zehooVK9K/f38sFgvu7u6MGjXqfjdJRERE5KH1II9Jv9sUvN+G5s2b07x581vvKCIiIiJyFyl4FxERERGHYszD+zsad7TOu4iIiIiI3D/KvIuIiIiIQ8l9iMe8K/MuIiIiIuIglHkXEREREYfyMK90ruBdRERERByKhs2IiIiIiMgDT5l3EREREXEoD/OwGWXeRUREREQchDLvIiIiIuJQcpV5FxERERGRB50y7yIiIiLiUIxWmxERERERkQedMu8iIiIi4lC02oyIiIiIiDzwlHkXEREREYeiX1gVEREREZEHnjLvIiIiIuJQNOZdREREREQeeMq8i4iIiIhD0S+sioiIiIjIA0+ZdxERERFxKBrzLiIiIiIiDzxl3kVERETEoWiddxEREREReeAp8y4iIiIiDkVj3kVERERE5IGnzLuIiIiIOJSHeZ13Be8iIiIi4lCMJqyKiIiIiMiDTpl3EREREXEoD/OwGWXeRUREREQchDLvIiIiIuJQtFSkiIiIiIg88JR5FxERERGHotVmRERERETkgafMu4iIiIg4FI15FxERERGRB54y7yIiIiLiUJR5FxERERGRB54y7yIiIiLiUB7evDs4mYf5voOIiIiIiAPRsBkREREREQeh4F1ERERExEEoeBcRERERcRAK3kVEREREHISCdxERERERB6HgXURERETEQSh4FxERERFxEAreRUREREQchIJ3EREREREHoeBdROQaLVq0ICkp6X43Qx5g3bp1Y/v27fe7GfI/CAkJuefHPHXqFG3atKF9+/bs2LGDiIiIe94G+WtQ8C4iIiIPleXLl9/zY+7YsQN/f38SEhJISkri3Llz97wN8tfgcr8bIHIzOTk5jBgxgkOHDpGSkkKlSpV499136d+/P+XLl+fgwYPUrFmTBg0asHTpUtLS0pg2bRqPPvooq1evJiYmhitXrpCVlUV4eDi1a9fmueees9eflJRESEgIw4cPJzo6mk8//RRnZ2caN27MwIEDOX36NH379qVKlSrs27ePokWLMnnyZLy9ve/jqyI3c7Pz5a233qJ8+fIcP36cMmXKEBERgbe3N4GBgQQFBfH9999TqFAhIiMjKVeunL0+m83G+PHj2bFjBzabjfbt29OzZ8/710G5IxMmTGDt2rX4+PhQvHhxWrRogTGGmJgYnJyc8Pf3Z9iwYRQqVIhNmzYxadIkcnNzKV++PO+//z7FihVj+/bthIeH4+zsTJ06dTh8+DBz5szJd5zp06ezevVqbDYbTZo0YeDAgTg5Od2nXgvA9u3biY6OxhjDiRMnaN26NYULF2b9+vVA3nvWuHFjDhw4QGpqKkOGDOHIkSO4ubkxePBgGjZsSGBgIP7+/qSkpBAfH8/MmTOvu0ZcvnyZ/v37k5KSAkCfPn1o2bIlR48eZfjw4aSmplKwYEGGDBmCq6srkyZNIjMzk+HDh7N161YyMzP56KOP6NWr1/18ucQRGZEH1I4dO8yIESOMMcbYbDbTtWtXM3PmTOPn52d++OEHY7PZTKtWrUxkZKQxxpioqCgzevRoY7PZTPfu3c25c+eMMcYsXrzYvPbaa/nq/uabb8xTTz1lzp07ZzZv3myee+45c/nyZWO1Ws3rr79u5s6da06ePGk/ljHG9O3b18TGxt7DV0DuxM3Ol6pVq5rExERjjDH//ve/zahRo4wxxlStWtUkJCQYY4yJjY21nyNBQUHm5MmTZv78+WbMmDHGGGOysrJM165dzc6dO+91t+QP2LBhg+ncubPJysoyqampJigoyMTGxppWrVqZ8+fPG2OMGTFihBk7dqxJSUkxTZo0MSdPnjTGGPPJJ5+Yfv36mezsbNOsWTOzb98+Y4wxo0aNMl27djXGGNO1a1eTmJhotmzZYvr162dycnKMzWYz/fv3N8uWLbs/nRa7xMRE8/jjj5tTp06ZzMxMU6dOHbNgwQJjjDGDBw82s2fPNlWrVjXGXD0PjDFm//79pmPHjsYYk+9z42bXiISEBPtnzk8//WSvJywszKxdu9YYk3etefLJJ01WVpZZsmSJGTRokDHG5Ptb5E4p8y4PrPr16+Pt7c28efM4cuQIx44dIzMzk2LFilGjRg0ASpUqRcOGDQEoU6YMSUlJWCwWpk2bxsaNGzl69Cg7duzAYrk6Qiw5OZkBAwYwZcoUfH19SUxMpG3btnh4eAAQFhbGsmXLaN68OUWLFrUfq0qVKqSlpd3jV0Fu183Ol0ceeYSAgAAA2rVrx4ABAwBwd3enXbt2AISGhvLBBx/kq2/btm3s27ePxMREADIzMzlw4AD16tW7h72SP+Krr74iODgYNzc33NzcaNWqFU5OTgQFBeHj4wNAp06dePfdd2nQoAG1atWy33Xp1KkT06dP5+DBgxQtWpRq1aoB0KFDB0aPHp3vONu2bWPPnj20b98egCtXrlCmTJl72FO5mapVq1K6dGkAfHx88l0n0tPT7fvt3LmTyMhIAPz8/IiLi7Nvq127NsBNrxEDBgzggw8+IDk5mSeffJI+ffqQkZHBiRMneOqppwCoU6cOXl5eHDly5O53Wh4aCt7lgbVhwwamTJlC9+7dad++PRcuXKBMmTK4ubnl28/Z2Tnf44yMDMLCwggJCaF+/fr4+fkxb948ALKysujduzf9+vWzB+W5ubnXHTsnJwfIC/B+4+TkhDHmT+2j/Hludr64uFz9mDPG2M8Xi8ViH96Qm5t73Xlks9kYOHCg/SJ8/vx5ChYseI96I/8Li8Vy3f/r3z82xpCTk3PT552dnW/42XAtm81Gjx49ePHFFwFIT0+/7jyS+8PV1TXf45u9L9d+PgAcPnyYSpUqAdiD9ZtdIx555BFWr17NF198waZNm5g1axaLFy++7jphjMFms/3hvoj8niasygNr27ZtBAcHExYWRrFixdi5c+dtfQAeO3YMi8XC66+/TmBgIFu3brWX+9e//kX9+vXzrTQQGBjIZ599xpUrV8jJyWHJkiUEBgbetX7J3XGz8+Xo0aPs27cPgCVLltCsWTMALl++zMaNGwFISEiwP/+bwMBAFi1ahNVqJSMjgy5duvDdd9/d207JH9K4cWPWrVtHdnY2ly5dYvPmzaSnp7Nx40ZSU1MBWLRoEQEBAdSuXZvvvvvOvsJQXFwcAQEBVK5cmfT0dA4cOADAihUrrjtOYGAgy5cvJyMjg5ycHPr06cPatWvvXUflf1avXj1WrVoF5AXur7zyynVzFm52jZg7dy5RUVEEBwfz3nvvcf78eYwxlC9fnnXr1gHw7bffkpKSQpUqVfLV6ezsbE8SidwpZd7lgfXcc88xYMAA1qxZg5ubG3Xq1Lmt5dmqVatG9erVCQ4OxsPDg/r163Pq1Cl2797NypUrqVmzJu3atcMYw2OPPcaECRPYt28fYWFh5OTk0LRpU7p27cqZM2fuQS/lz3Kz88XLy4spU6Zw4sQJ/Pz8CA8Pt5dZs2YNEydOpESJEowbNy5ffc8//zzHjx8nNDSUnJwc2rdvbx9+Iw+25s2bs3v3bkJDQ/Hy8qJEiRJUrlyZ1157jW7dumG1WvH392fkyJF4enry/vvv07dvX6xWK2XKlGH06NG4ubkxfvx4Bg0ahMVioVKlSvZM7G9atGjB/v376dixIzabjaZNmxIaGnqfei1/xBtvvMHQoUN59tlncXFxYfz48dcF70FBQTe8Rly5coX+/fvzj3/8AxcXF/r27UuRIkWIiIhgxIgRREVF4erqSlRU1HV3jGvVqsXUqVOJjIy0D+UTuV1ORuMAROQvKikpie7du9sz7Nfy8/OzZ1Xlr+Wbb77h2LFjhIaGYrVa6dSpE2PGjLGPX78dubm5REZG0rdvXwoWLEhMTAzJyckMHjz4LrZcROTWlHkXEZG/lEqVKjF16lRiYmIwxtCuXbs7Ctwhb9y8t7c3HTp0wNXVlbJly143YVVE5H5Q5l1ERERExEFowqqIiIiIiINQ8C4iIiIi4iAUvIuIiIiIOAgF7yIiIiIiDkLBu4iIiIiIg9BSkSIiDiI+Pp6YmBgsFgs+Pj6MGzeOrVu3MmfOHCwWC8WKFWPYsGFUqlSJwYMH4+7uzt69e0lJSSE4OBhfX182bdrEL7/8Qnh4OA0bNmTw4ME4OTlx+PBhzp8/T+PGjRk6dCiurq7Ex8cTFxeH1WolLS2NV155hS5dupCQkMDnn3+OxWLh+PHjuLq6Mm7cODw9PWnbti1bt26lcOHCGGNo06YNkydPvuOlGkVE5MaUeRcRcQD79+8nMjKSGTNmsGLFClq0aEHPnj2ZMWMGsbGxfPrppzzzzDP06dOH31YA3rdvH3FxcSxZsoTZs2dTsGBBFi5cSPfu3fnkk0/y1R0TE8OqVas4fPgwcXFxZGRksHjxYqZPn86yZcuYOHEiERER9jI7d+5k2LBhrFy5krp16zJz5kzKlClDw4YN+fTTTwFITEzE29tbgbuIyJ9IwbuIiAPYtm0bTZo0oXTp0gD07NmTli1b8vTTT+Pr6wtA+/btSU5OJikpCcj7WXdXV1eKFy9OwYIFadq0KQAVKlQgNTXVXndoaCiFChXCzc2NkJAQvvzySwoVKkR0dDRbtmxh0qRJREdHk5mZaS/j7+9PqVKlAKhRowZpaWkAvPDCCyxevBiAuLg4OnfufJdfGRGRh4uCdxERB+Ds7IyTk5P98ZUrV+xB+rWMMeTk5ADg5uaWb5uLy41HSjo7O+crb7FYOHPmDO3atePnn3/miSee4K233spXxsPDw/63k5OTPdvfqFEjLl++zLZt29i1axfBwcF32FMREflvFLyLiDiAgIAAtm3bxtmzZwFYuHAhmzdvZtWqVZw/fx6AJUuW4O3tTcWKFe+o7tWrV5OdnU1WVhZLly4lKCiI77//Hl9fX3r37k3Tpk3ZtGkTADab7b/W5eTkRJcuXRgyZAjPPPMM7u7uf6C3IiJyM5qwKiLiAPz8/Bg4cCAvv/wyAMWLF+fzzz9n/fr19OjRg9zcXHx9ffn444+xWO4sL+Ph4UGXLl1IT0+ndevWhIWFkZWVRXx8PG3atKFAgQLUqlULX19fjh8/fsv6QkNDGTduHJ06dfpDfRURkZtzMr/d6xQRkYfO4MGDqVKlCi+99NKfVudnn33G0qVLmTFjxp9Wp4iI5FHmXURE/jTdunUjJSWFqKio+90UEZG/JGXeRUREREQchCasioiIiIg4CAXvIiIiIiIOQsG7iIiIiIiDUPAuIiIiIuIgFLyLiIiIiDgIBe8iIiIiIg7i/wM9SPfp/0HO2QAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 864x648 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 9))\n",
    "_ = sns.heatmap(group, annot=True, fmt=\"f\")\n",
    "plt.savefig(\"ratings_heatmap.png\", dpi=900)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Observations:** Overall, Google holds the best ratings for Work Balance, Culture Values, Career Opportunities, Company Benefits, and Senior Management. \n",
    "\n",
    "* Apple is second in Senior Management, Company Benefits, and Culture Values. \n",
    "* Microsoft is second in Work Balance and Career Opportunities."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "def rating_per_company(rating_type, title, color):\n",
    "    work_ratings = df[['company', rating_type]]\n",
    "    work_ratings = work_ratings[~(work_ratings[[rating_type]] == \"none\").any(axis=1)]\n",
    "    work_ratings[rating_type] = work_ratings[rating_type].apply(pd.to_numeric)\n",
    "    group = work_ratings.groupby(work_ratings[\"company\"].str.title())[rating_type].mean().reset_index()\n",
    "    group.sort_values([rating_type],inplace=True)\n",
    "    group.set_index('company').plot.barh(legend=False, figsize=(12, 10), color=color)\n",
    "    plt.title('{} Rating'.format(title))\n",
    "    plt.xlabel('Rating')\n",
    "    _ = plt.ylabel('Companies')\n",
    "    #plt.savefig(\"Plots/{}_rating_company.png\".format(title.lower().replace(\" \", \"_\")), dpi=900)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rating_per_company('work-balance-stars', \"Work Balance\", \"r\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rating_per_company(\"culture-values-stars\", \"Culture Values\", \"b\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rating_per_company(\"carrer-opportunities-stars\", \"Career Opportunities\", \"g\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rating_per_company(\"comp-benefit-stars\", \"Company Benefits\", \"#cdca04\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rating_per_company(\"senior-mangemnet-stars\", \"Senior Management\", \"#e06743\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### F. Who is reviewing\n",
    "Identify, who is reviewing, current or former employee, what title?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(2,2, figsize=(12, 9), facecolor='w', edgecolor='k')\n",
    "companies = ['microsoft', 'apple', 'google', 'amazon']\n",
    "axs = axs.ravel()\n",
    "\n",
    "\n",
    "for i, company in enumerate(companies):\n",
    "    current_employee_count = df.loc[df['company'] == company]['job-title'].str.split('-', expand=True)[0].value_counts().sort_values(ascending=True)\n",
    "    employee_labels = current_employee_count.index.tolist()\n",
    "    employee_index = np.arange(len(employee_labels))\n",
    "        \n",
    "    bars = axs[i].bar(employee_index, current_employee_count, tick_label=employee_labels)\n",
    "    bars[0].set_color('gray')\n",
    "    bars[1].set_color('b')\n",
    "    _ = axs[i].set_xlabel('Types of Employee')\n",
    "    _ = axs[i].set_ylabel('Number of Reviews')\n",
    "    _ = axs[i].set_title('{}: Reviews (Current vs Former)'.format(company.title()))\n",
    "    \n",
    "fig.tight_layout()\n",
    "#fig.savefig(\"Plots/reviews_employee_type_company.png\", dpi=900)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Obersevations:** We can clearly see that most of the reviews for each company come from current employees."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Anonymous Employee               21910\n",
       "Software Engineer                  930\n",
       "Specialist                         648\n",
       "Software Development Engineer      618\n",
       "Warehouse Associate                585\n",
       "Name: 1, dtype: int64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['job-title'].str.split(' - ', expand=True)[1].value_counts().head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Obeservations:** Most of the job titles is anonymous. Based on this, it many not be worth it to summarize the data based on the job title."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### G. Average Rating of Current vs Former Employee (per Company)\n",
    "\n",
    "Let's see what the average rating of current and former employees per company"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(2,2, figsize=(12, 9), facecolor='w', edgecolor='k')\n",
    "companies = ['microsoft', 'apple', 'google', 'amazon']\n",
    "axs = axs.ravel()\n",
    "\n",
    "for i, company in enumerate(companies):\n",
    "    \n",
    "        job_rating = df[df['company'] == company][['job-title', 'overall-ratings']]\n",
    "        job_rating['job-title'] = job_rating['job-title'].str.split(' - ', expand=True)[0]\n",
    "        job_rating_count = job_rating.groupby('job-title')['overall-ratings'].mean().sort_values(ascending=True)\n",
    "\n",
    "        bars = axs[i].bar([0,1], job_rating_count, tick_label = ['Current Employee', 'Former Employee'])\n",
    "        bars[0].set_color('gray')\n",
    "        bars[1].set_color('b')\n",
    "        _ = axs[i].set_title('{}: Avg. Overall Rating (Current vs Former)'.format(company.title()))\n",
    "        _ = axs[i].set_xlabel(\"Types of Employee\")\n",
    "        _ = axs[i].set_ylabel(\"Avg. Overall Rating\")\n",
    "\n",
    "fig.tight_layout()\n",
    "#fig.savefig(\"Plots/rating_employee_type_company.png\", dpi=900)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Observations:** Based on the plots above, we can see the Amazon has the biggest difference in the overall rating between current and former employees. One possible reason could be that former employees left the company because they had a negative experience."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What are Pros and Cons about\n",
    "Identify trend or top keywords in the pros and cons comments"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "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>pros</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>People are smart and friendly</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>You can't find a more well-regarded company that actually deserves the hype it gets.  You'll work on cutting edge projects / solve important issues that impact your community and the world  You'll meet interesting people who are your colleagues, managers, and senior management.  You'll open the paper and see your company in the news almost every day, and read about projects you're working on, which is a cool thing  You'll see Larry and Sergey at TGIF and you'll admire how they lead the company. They are brilliant, goofy, low key but intense, and likeable.  There are 22 cafes (more or less), the food is excellent, and it's free.  Your pay will typically be competitive, though it needs to be tweaked up a bit since the economy has improved.  Google cares about how it treats its employees.  The campus is like an academic campus in many ways.  There are tons of activities on campus, like authors speaking about their books, films after work, and gyms where you can work out - but you'll need to make sure to carve out time to do these things.  You'll get plenty of external validation from people who suddenly think you're smart and rich because you work there, even if you're not rich and you're as smart when you didn't work at Google.  If and when you leave, you'll never regret having that company on your resume. It opens doors.  The company is flexible - if you're lucky, you won't have a micromanager boss and you can be somewhat flexible in how you work - but don't get me wrong - you'll work a LOT. But you don't have to do all of it chained to your desk.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Google is a world of its own. At every other company, there were lots of people who had serious gaps in their skills. At Google, I could have a serious work conversation about technology with everyone and could trust that they have solid expertise. In that way, Google is a sheltered garden from the rest of the world.  There is a general sense of trust in the company. You can leave your valuables and laptops lying around, and they are safe. People joke that it's the only place where you use an expansive laptop to reserve a seat at the cafeteria, while walking away.  At other companies, teams are very protective of their own code. Trying to execute another team's code requires following a 50 step installation process that's out of date and was never complete to begin with. Google has almost all the code in the same source repository. An engineer can look at the code, easily execute the code because it comes with intelligent defaults and standard build process, and contribute enhancements/bug fixes. The other teams are generally grateful for getting improvements. They understand that it's better for the company if the bug is fixed rather than holding onto territory or insisting on their own strange ways.  Google takes care of you all around. From food, health care, generous vacation, onsite gym, and so on, you are well taken care off and can focus on work rather than dealing with life's hassles. There are cases where Google goes above and beyond tremendously. Here is an example that floats around internally. A Googler had worked at Amazon before. Amazon relocated him. Because of the relocation, he had to change his partner's health insurance for some critical and expensive life changing medication. Due to same sex partner and relocation, the health insurance company refused. Amazon was so unhelpful that the HR representative who was forced to deliver the news broke down crying and then quit over it. He switched to Google. The Google HR department negotiated an exception for him with the health insurance and included the necessary change for the following policy year for all employees.  A lot of Google products have a huge impact with over a billion users. Working there, you can feel that you change the world.  I was very happy with the compensation. There are also a lot of opportunities in the company to follow your interest. Pretty much anyone can get an intern, participate in setting coding standards (obviously you have to argue the case for your proposals), interviewing, supporting local schools with tech expertise. Google opened up a lot of opportunities in the community or in general in tech to volunteer in.  Google is considered the largest functioning anarchy. That has its good sides, like the glee of joy for operating without strict oversight. It also has its dark side, like a hands-off management tends to encourage politics.  Another beauty for engineers are internal tools. Your development environment is in the cloud. You can sit down at a loaner computer and be productive within seconds. There is a massive cloud compiling system that shards your compiles across many computers in the cloud. The search function across the codebase is powerful. You'll feel that downloading and compiling code on your own computer in your IDE is something of another epoch, like something from before the industrial revolution.  The Google badge is a wonderful thing to carry. It opens doors to a different world. The office spaces are beautiful with work, rest, and play areas. The MTV location is like a utopian city on its own. Everything in it, food, drinks, work spaces, swimming pools, gym, bowling alleys, showers, and so on are free (for employees). It is a whole world of its own.  Most companies have a one-over-one promotion model. Your boss has to decide to promote you. Your bosses boss has to sign off on it. At Google, the promotion is decided by a relatively impartial committee that due to promoting lots of people has experience in it. You can even get promoted in rare cases against the will of your manager. Rumor has it that managers won't hold a grudge if that happens but support it. The hiring committee looks at a promotion packet that includes reviews from peers. There can even be unrequested peer reviews. In general, it creates an environment that discourages bicycling - bowing to the higher ups and kicking the lower downs hard. However some people have realized that they can hurt colleagues with bad reviews and impunity. It's rare, but colleagues careers took a dive due to someone holding a grudge or simply writing a thoughtless review. (There is some concern about stack ranking, but I don't understand enough of the background to comment on it. There are plenty of discussions with insight elsewhere.)  To underscore how Google is one of a kind, there is an internal database with legendary things that happened at Google. Someone parked his car for many years on the employee parking lot. When after years, he went looking for his car, it was gone. He went to security. He found out that it was simply moved because the parking lot had been repaved. Another Googler lived in the office fulltime to save money on rent. He wrote a guide on how to do that. As there are showers and other facilities, it is possible to do so. And Google let it happen. After a while of saving rent payment, he could afford the down payment on buying his own place. All these stories make Google a wonderful place to work at.  An important topic to bring up is work/life balance. Work/life balance is an amorphous topic that means a lot of different things to different people. Getting up to speed at Google is consuming. Depending on your work, it could take a year to become productive. Many colleagues reported no longer having a personal life after starting at Google. Some colleagues simply love technology and can't think of anything better than working until the AM hours on some tech that gets them excited. You can tell these people by physically looking at them. For them, it is a heaven. If you are a balanced person with personal interests and relationships, you are likely going to be challenged. If you signed up for one of the big five tech companies, you wanted challenge, right. If I would do something differently, it is to take advantage of all time saving things. Pay for a laundry service. Pay for a cleaning service. I've had a moral hangup about doing that because on a moral level, my time shouldn't be more worthy than that of another human being. If I could do it all over again, I'd pay for every possible service to save time. In the grander scheme of things, if you work at Google, your skill is so valuable to humanity that you should make use of it instead of standing in line at the grocery store. I don't mean that in an arrogant way. If you work on a service with a billion users, your ability to make life better for them with another hour of work is worth more than folding laundry. You've paid the price in education, training, and effort to be able to do that. Make use of your power for the great code. (The view that all those perks are only there to keep your nose closer to the grindstone is the wrong way of looking at it from a philosophical point, in my humble opinion.)  For full disclosure, there are some people who coast at Google. They probably don't have any complains about work/life balance or perhaps the worst complaints because they are all about coasting.  Many company mishandle projects. When the next time comes around, they mishandle it in the same way because the people responsible aren't the ones working late nights and weekends. Google does two things to get better: (1) There are honest and public postmortems. They are the pride of a lot of true engineers. (2) Zeitgeist is an annual survey about the work place and the company. The survey is quite exhaustive. Every manager from the CEO to the front-line manager reports on the result of his/her area. Then they take actions to attempt to improve areas that got low scores. Having worked at companies where now improvement effort is done, this annual and systematic process is very refreshing.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>People are not that busy, so they are nice to help our. They did make a suitable intern project that you can finish it in time and learn something.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Great working environment. Good work life balance</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              pros\n",
       "0  People are smart and friendly                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  \n",
       "3  You can't find a more well-regarded company that actually deserves the hype it gets.  You'll work on cutting edge projects / solve important issues that impact your community and the world  You'll meet interesting people who are your colleagues, managers, and senior management.  You'll open the paper and see your company in the news almost every day, and read about projects you're working on, which is a cool thing  You'll see Larry and Sergey at TGIF and you'll admire how they lead the company. They are brilliant, goofy, low key but intense, and likeable.  There are 22 cafes (more or less), the food is excellent, and it's free.  Your pay will typically be competitive, though it needs to be tweaked up a bit since the economy has improved.  Google cares about how it treats its employees.  The campus is like an academic campus in many ways.  There are tons of activities on campus, like authors speaking about their books, films after work, and gyms where you can work out - but you'll need to make sure to carve out time to do these things.  You'll get plenty of external validation from people who suddenly think you're smart and rich because you work there, even if you're not rich and you're as smart when you didn't work at Google.  If and when you leave, you'll never regret having that company on your resume. It opens doors.  The company is flexible - if you're lucky, you won't have a micromanager boss and you can be somewhat flexible in how you work - but don't get me wrong - you'll work a LOT. But you don't have to do all of it chained to your desk.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           \n",
       "4  Google is a world of its own. At every other company, there were lots of people who had serious gaps in their skills. At Google, I could have a serious work conversation about technology with everyone and could trust that they have solid expertise. In that way, Google is a sheltered garden from the rest of the world.  There is a general sense of trust in the company. You can leave your valuables and laptops lying around, and they are safe. People joke that it's the only place where you use an expansive laptop to reserve a seat at the cafeteria, while walking away.  At other companies, teams are very protective of their own code. Trying to execute another team's code requires following a 50 step installation process that's out of date and was never complete to begin with. Google has almost all the code in the same source repository. An engineer can look at the code, easily execute the code because it comes with intelligent defaults and standard build process, and contribute enhancements/bug fixes. The other teams are generally grateful for getting improvements. They understand that it's better for the company if the bug is fixed rather than holding onto territory or insisting on their own strange ways.  Google takes care of you all around. From food, health care, generous vacation, onsite gym, and so on, you are well taken care off and can focus on work rather than dealing with life's hassles. There are cases where Google goes above and beyond tremendously. Here is an example that floats around internally. A Googler had worked at Amazon before. Amazon relocated him. Because of the relocation, he had to change his partner's health insurance for some critical and expensive life changing medication. Due to same sex partner and relocation, the health insurance company refused. Amazon was so unhelpful that the HR representative who was forced to deliver the news broke down crying and then quit over it. He switched to Google. The Google HR department negotiated an exception for him with the health insurance and included the necessary change for the following policy year for all employees.  A lot of Google products have a huge impact with over a billion users. Working there, you can feel that you change the world.  I was very happy with the compensation. There are also a lot of opportunities in the company to follow your interest. Pretty much anyone can get an intern, participate in setting coding standards (obviously you have to argue the case for your proposals), interviewing, supporting local schools with tech expertise. Google opened up a lot of opportunities in the community or in general in tech to volunteer in.  Google is considered the largest functioning anarchy. That has its good sides, like the glee of joy for operating without strict oversight. It also has its dark side, like a hands-off management tends to encourage politics.  Another beauty for engineers are internal tools. Your development environment is in the cloud. You can sit down at a loaner computer and be productive within seconds. There is a massive cloud compiling system that shards your compiles across many computers in the cloud. The search function across the codebase is powerful. You'll feel that downloading and compiling code on your own computer in your IDE is something of another epoch, like something from before the industrial revolution.  The Google badge is a wonderful thing to carry. It opens doors to a different world. The office spaces are beautiful with work, rest, and play areas. The MTV location is like a utopian city on its own. Everything in it, food, drinks, work spaces, swimming pools, gym, bowling alleys, showers, and so on are free (for employees). It is a whole world of its own.  Most companies have a one-over-one promotion model. Your boss has to decide to promote you. Your bosses boss has to sign off on it. At Google, the promotion is decided by a relatively impartial committee that due to promoting lots of people has experience in it. You can even get promoted in rare cases against the will of your manager. Rumor has it that managers won't hold a grudge if that happens but support it. The hiring committee looks at a promotion packet that includes reviews from peers. There can even be unrequested peer reviews. In general, it creates an environment that discourages bicycling - bowing to the higher ups and kicking the lower downs hard. However some people have realized that they can hurt colleagues with bad reviews and impunity. It's rare, but colleagues careers took a dive due to someone holding a grudge or simply writing a thoughtless review. (There is some concern about stack ranking, but I don't understand enough of the background to comment on it. There are plenty of discussions with insight elsewhere.)  To underscore how Google is one of a kind, there is an internal database with legendary things that happened at Google. Someone parked his car for many years on the employee parking lot. When after years, he went looking for his car, it was gone. He went to security. He found out that it was simply moved because the parking lot had been repaved. Another Googler lived in the office fulltime to save money on rent. He wrote a guide on how to do that. As there are showers and other facilities, it is possible to do so. And Google let it happen. After a while of saving rent payment, he could afford the down payment on buying his own place. All these stories make Google a wonderful place to work at.  An important topic to bring up is work/life balance. Work/life balance is an amorphous topic that means a lot of different things to different people. Getting up to speed at Google is consuming. Depending on your work, it could take a year to become productive. Many colleagues reported no longer having a personal life after starting at Google. Some colleagues simply love technology and can't think of anything better than working until the AM hours on some tech that gets them excited. You can tell these people by physically looking at them. For them, it is a heaven. If you are a balanced person with personal interests and relationships, you are likely going to be challenged. If you signed up for one of the big five tech companies, you wanted challenge, right. If I would do something differently, it is to take advantage of all time saving things. Pay for a laundry service. Pay for a cleaning service. I've had a moral hangup about doing that because on a moral level, my time shouldn't be more worthy than that of another human being. If I could do it all over again, I'd pay for every possible service to save time. In the grander scheme of things, if you work at Google, your skill is so valuable to humanity that you should make use of it instead of standing in line at the grocery store. I don't mean that in an arrogant way. If you work on a service with a billion users, your ability to make life better for them with another hour of work is worth more than folding laundry. You've paid the price in education, training, and effort to be able to do that. Make use of your power for the great code. (The view that all those perks are only there to keep your nose closer to the grindstone is the wrong way of looking at it from a philosophical point, in my humble opinion.)  For full disclosure, there are some people who coast at Google. They probably don't have any complains about work/life balance or perhaps the worst complaints because they are all about coasting.  Many company mishandle projects. When the next time comes around, they mishandle it in the same way because the people responsible aren't the ones working late nights and weekends. Google does two things to get better: (1) There are honest and public postmortems. They are the pride of a lot of true engineers. (2) Zeitgeist is an annual survey about the work place and the company. The survey is quite exhaustive. Every manager from the CEO to the front-line manager reports on the result of his/her area. Then they take actions to attempt to improve areas that got low scores. Having worked at companies where now improvement effort is done, this annual and systematic process is very refreshing.\n",
       "5  People are not that busy, so they are nice to help our. They did make a suitable intern project that you can finish it in time and learn something.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            \n",
       "6  Great working environment. Good work life balance                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.set_option('display.max_colwidth', -1)\n",
    "df[['pros']].head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "pros_count = df['pros'].str.split().str.len()\n",
    "cons_count = df['cons'].str.split().str.len()\n",
    "#summary_count = df['summary'].str.split().str.len()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    47876.000000\n",
       "mean     18.542192   \n",
       "std      26.214323   \n",
       "min      2.000000    \n",
       "25%      7.000000    \n",
       "50%      11.000000   \n",
       "75%      22.000000   \n",
       "max      1416.000000 \n",
       "Name: pros, dtype: float64"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pros_count.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    47876.000000\n",
       "mean     26.863000   \n",
       "std      53.772301   \n",
       "min      1.000000    \n",
       "25%      7.000000    \n",
       "50%      13.000000   \n",
       "75%      27.000000   \n",
       "max      1940.000000 \n",
       "Name: cons, dtype: float64"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cons_count.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Observations:** We can that the word count between comments varies by a lot. We have reviews with just a few words and others that are multiple paragraphs. 50% of comments (pros and cons) are between 12-15 words long."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Clean and Transform Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'d', 'on', 'and', 'hadn', 'before', 'off', 'now', 'to', 'what', 'out', 'hasn', 'mightn', 't', 'into', 'as', \"needn't\", 'myself', 'both', 'mustn', 'at', 'him', 'doing', 'or', 'for', 'most', 'was', 'ourselves', 'in', 'such', \"she's\", 'the', 'same', \"mightn't\", 'them', 'that', 'needn', 'doesn', \"you'd\", 'with', 'i', 'these', 'herself', 'don', 'ain', 'themselves', 'until', 'did', 'will', 'its', 'have', \"aren't\", 'above', 'yourself', 'hers', 'of', 'which', \"it's\", 'yours', 'under', 'than', 'shan', 'o', 'had', \"shan't\", 'those', 'again', 'aren', 'his', 'other', \"hasn't\", 'my', 'himself', 'her', 'being', 'some', 'ours', 'after', 'isn', \"won't\", 'below', 'nor', \"didn't\", 'won', 'but', 'not', 'between', 'can', \"haven't\", 'shouldn', 'only', 'by', 'where', \"shouldn't\", 'through', 'further', 'an', 'very', 'from', 'microsoft', 'apple', \"weren't\", 'any', 'so', \"isn't\", 'couldn', 'itself', 'it', 'about', 'he', 'few', 'if', 'once', 'when', 'here', 'while', 'up', 'll', 'then', 'wouldn', \"mustn't\", 'y', 'over', 'she', 'this', 'how', 'there', 'amazon', 'are', 'me', 'why', 'having', 'too', 'during', \"couldn't\", 'against', 'ma', 'own', 'didn', 'down', 'should', 'all', 'whom', \"you've\", 'wasn', 'am', 're', 'm', 'who', 'does', 'our', 'were', 'theirs', 'been', 'google', 'no', \"wasn't\", \"should've\", \"wouldn't\", 'just', \"you'll\", \"that'll\", 've', \"doesn't\", 'be', 'you', 'we', \"you're\", 'their', 'a', 'more', 'haven', 'each', 'weren', 'has', 'is', \"hadn't\", 'your', 'they', 'do', 'yourselves', 'because', 's', \"don't\"}\n"
     ]
    }
   ],
   "source": [
    "stop_words = set(stopwords.words(\"english\"))\n",
    "stop_words = stop_words.union(df[\"company\"].unique()) # Include Company names\n",
    "print(stop_words)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "def top_words(company, review_type, stop_words, top=20):\n",
    "    \n",
    "    corpus = df[df['company'] == company][review_type].str.lower()\n",
    "\n",
    "    # Remove punctuations\n",
    "    corpus = corpus.str.replace(\"[^a-zA-Z]\", \" \")\n",
    "\n",
    "    # Convert to list from string\n",
    "    corpus = corpus.str.split()\n",
    "\n",
    "    # Remove stop words\n",
    "    corpus = corpus.apply(lambda x: [word for word in x if word not in stop_words])\n",
    "\n",
    "\n",
    "    # Lemmatisation\n",
    "    lem = WordNetLemmatizer()\n",
    "\n",
    "    def lemmatize_text(text):\n",
    "        return [lem.lemmatize(word) for word in text]\n",
    "\n",
    "    corpus = corpus.apply(lemmatize_text)\n",
    "\n",
    "    corpus = corpus.apply(pd.Series).stack()\n",
    "    \n",
    "    return set(corpus.value_counts()[:top].index.tolist())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'benefit',\n",
       " 'company',\n",
       " 'culture',\n",
       " 'environment',\n",
       " 'good',\n",
       " 'great',\n",
       " 'lot',\n",
       " 'opportunity',\n",
       " 'people',\n",
       " 'work',\n",
       " 'working'}"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "google_pros = top_words(\"google\", \"pros\", stop_words)\n",
    "micro_pros = top_words(\"microsoft\", \"pros\", stop_words)\n",
    "apple_pros = top_words(\"apple\", \"pros\", stop_words)\n",
    "amazon_pros = top_words(\"amazon\", \"pros\", stop_words)\n",
    "\n",
    "company_common_pros = set.intersection(google_pros, micro_pros, apple_pros, amazon_pros)\n",
    "company_common_pros"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'company', 'get', 'lot', 'management', 'manager', 'people', 'time', 'work'}"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "google_cons = top_words(\"google\", \"cons\", stop_words)\n",
    "micro_cons = top_words(\"microsoft\", \"cons\", stop_words)\n",
    "apple_cons = top_words(\"apple\", \"cons\", stop_words)\n",
    "amazon_cons = top_words(\"amazon\", \"cons\", stop_words)\n",
    "\n",
    "company_common_cons = set.intersection(google_cons, micro_cons, apple_cons, amazon_cons)\n",
    "company_common_cons"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "to            43006\n",
      "the           40329\n",
      "and           31526\n",
      "a             27092\n",
      "of            24277\n",
      "you           23134\n",
      "is            22275\n",
      "in            15984\n",
      "are           14621\n",
      "for           14306\n",
      "not           13961\n",
      "work          12606\n",
      "be            12216\n",
      "i             9968 \n",
      "on            9928 \n",
      "that          9479 \n",
      "it            8992 \n",
      "they          8901 \n",
      "with          8569 \n",
      "no            8506 \n",
      "can           8392 \n",
      "have          8379 \n",
      "your          8343 \n",
      "at            7610 \n",
      "-             6874 \n",
      "as            6782 \n",
      "very          6760 \n",
      "if            6611 \n",
      "get           6590 \n",
      "but           6275 \n",
      "or            5458 \n",
      "people        5342 \n",
      "there         5293 \n",
      "management    5072 \n",
      "will          4934 \n",
      "so            4743 \n",
      "company       4720 \n",
      "this          4596 \n",
      "time          4551 \n",
      "too           4222 \n",
      "from          4217 \n",
      "was           4148 \n",
      "some          3945 \n",
      "do            3763 \n",
      "more          3736 \n",
      "like          3693 \n",
      "hours         3610 \n",
      "much          3599 \n",
      "all           3572 \n",
      "their         3441 \n",
      "working       3427 \n",
      "hard          3420 \n",
      "long          3406 \n",
      "up            3317 \n",
      "many          3250 \n",
      "about         3231 \n",
      "don't         3194 \n",
      "lot           3123 \n",
      "my            3056 \n",
      "an            2879 \n",
      "it's          2868 \n",
      "job           2849 \n",
      "life          2829 \n",
      "other         2816 \n",
      "good          2753 \n",
      "when          2752 \n",
      "than          2732 \n",
      "managers      2708 \n",
      "employees     2696 \n",
      "out           2602 \n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "pd.options.display.max_rows = 4000\n",
    "cons_common = pd.Series(' '.join(df['cons'].str.lower()).split()).value_counts()[:70]\n",
    "print(cons_common)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "cons_except = {\"hours\", \"hard\", \"time\", \"life\"}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "cons_stop = set(cons_common.index.tolist())\n",
    "cons_stop = cons_stop - set(cons_except)\n",
    "cons_stop = cons_stop.union(company_common_cons)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "and              33737\n",
      "to               29449\n",
      "the              25593\n",
      "work             17717\n",
      "great            17626\n",
      "of               17303\n",
      "a                17044\n",
      "good             14674\n",
      "you              14573\n",
      "is               13826\n",
      "for              10281\n",
      "are              9585 \n",
      "in               9309 \n",
      "with             8442 \n",
      "people           7225 \n",
      "-                6926 \n",
      "i                6436 \n",
      "benefits         6292 \n",
      "company          6207 \n",
      "on               5894 \n",
      "very             5615 \n",
      "your             4767 \n",
      "that             4580 \n",
      "pay              4181 \n",
      "working          4155 \n",
      "have             4040 \n",
      "it               3984 \n",
      "at               3908 \n",
      "as               3721 \n",
      "get              3680 \n",
      "can              3562 \n",
      "if               3475 \n",
      "be               3418 \n",
      "environment      3368 \n",
      "they             3311 \n",
      "place            3279 \n",
      "benefits,        3130 \n",
      "lot              3117 \n",
      "from             3050 \n",
      "opportunities    3016 \n",
      "smart            3014 \n",
      "lots             2799 \n",
      "learn            2777 \n",
      "culture          2763 \n",
      "time             2756 \n",
      "best             2715 \n",
      "there            2599 \n",
      "amazon           2586 \n",
      "really           2522 \n",
      "will             2427 \n",
      "was              2381 \n",
      "not              2359 \n",
      "team             2263 \n",
      "job              2261 \n",
      "new              2261 \n",
      "amazing          2215 \n",
      "nice             2186 \n",
      "all              2182 \n",
      "my               2132 \n",
      "an               2083 \n",
      "but              2067 \n",
      "some             2019 \n",
      "life             1916 \n",
      "people,          1900 \n",
      "about            1883 \n",
      "opportunity      1862 \n",
      "so               1853 \n",
      "flexible         1841 \n",
      "like             1838 \n",
      "this             1815 \n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "pros_common = pd.Series(' '.join(df['pros'].str.lower()).split()).value_counts()[:70]\n",
    "print(pros_common)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "pros_except = {\"culture\", \"learn\", \"smart\", \"opportunities\", \"environment\", \"amazing\", \"team\", \"flexible\", \"opportunity\"}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "pros_stop = set(pros_common.index.tolist())\n",
    "pros_stop = pros_stop - set(pros_except)\n",
    "pros_stop = pros_stop.union(company_common_pros)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_cloud(company, review_type, new_stop):\n",
    "    # Convert to lowercase\n",
    "    corpus = df[df['company'] == company][review_type].str.lower()\n",
    "\n",
    "    # Remove punctuations\n",
    "    corpus = corpus.str.replace(\"[^a-zA-Z]\", \" \")\n",
    "\n",
    "    # Convert to list from string\n",
    "    corpus = corpus.str.split()\n",
    "\n",
    "    # Remove stop words\n",
    "    new_stop = stop_words.union(new_stop)\n",
    "    corpus = corpus.apply(lambda x: [word for word in x if word not in new_stop])\n",
    "\n",
    "\n",
    "    # Lemmatisation\n",
    "    lem = WordNetLemmatizer()\n",
    "\n",
    "    def lemmatize_text(text):\n",
    "        return [lem.lemmatize(word) for word in text]\n",
    "\n",
    "    corpus = corpus.apply(lemmatize_text)\n",
    "\n",
    "    corpus = corpus.str.join(\" \")\n",
    "\n",
    "    # Remove Tags\n",
    "    #text = re.sub(\"&lt;/?.*?&gt;\",\" &lt;&gt; \",text)\n",
    "\n",
    "    # Remove special characters and digits\n",
    "    #corpus = corpus.str.replace(\"(\\\\d|\\\\W)+\", \" \")\n",
    "    \n",
    "    return WordCloud(width=3000, height = 2000, max_words = 50, random_state = 42, background_color = \"white\", stopwords = new_stop).generate(\" \".join(corpus))\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Note:** All companies seem to have a few words in common for pros and cons reviews. These words are so frequent that they make other insightful words difficult to get noticed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i, company in enumerate(df[\"company\"].unique()):\n",
    "    #ax = fig.add_subplot(1,4,i+1)\n",
    "    word_cloud = create_cloud(company, \"cons\", cons_stop)\n",
    "    \n",
    "    fig = plt.figure()\n",
    "    plt.imshow(word_cloud)\n",
    "    plt.title(\"{}: Company Cons\".format(company.title()))\n",
    "    plt.axis('off')\n",
    "    #fig.savefig(\"Plots/{}_cons_wordcloud.png\".format(company), dpi=900)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Note:** Aside from stop words, the following words were common (and very frequent) among all 4 companies, but were not included in the wordclouds: 'benefit','company', 'culture', 'environment', 'good', 'great', 'lot', 'opportunity', 'people','work', 'working'\n",
    "\n",
    "These words are all important in trying to figure out what makes these companies good, but I decided to leave them out in order to make room for other frequent keywords that may be more insighful about each company."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Observations:**\n",
    "\n",
    "* Google: Team, Hard word, , the project, politics and life balance\n",
    "* Amazon: Lack of life-balance, the hours, the culture.\n",
    "* Apple: The life-balance, retail, customers, the pay\n",
    "* Microsoft: Politics, the work-life balance, team, the hard work, the culture"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i, company in enumerate(df[\"company\"].unique()):\n",
    "    #ax = fig.add_subplot(1,4,i+1)\n",
    "    word_cloud = create_cloud(company, \"pros\", pros_stop)\n",
    "    \n",
    "    fig = plt.figure()\n",
    "    plt.imshow(word_cloud)\n",
    "    plt.title(\"{}: Company Pros\".format(company.title()))\n",
    "    plt.axis('off')\n",
    "    #fig.savefig(\"Plots/{}_pros_wordcloud.png\".format(company), dpi=900)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Observations:**\n",
    "\n",
    "* Google: Perks, smart people, Free Food, salary. \n",
    "* Amazon: Learn, the team\n",
    "* Apple: Discount, the products, the team, fun, training\n",
    "* Microsoft: Smart people, product, the salary, technology, the team. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conclusion\n",
    "\n",
    "Through the analysis we found out that Google not only has the highest overall rating at just below 4.4 stars (as of 2018), but it also comes first when it comes to work-life balance, benefits, culture values, senior management and career opportunities. Microsoft comes second. More information can be found in the article associated with this project."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.7.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}