01_global_income_distribution.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Global Income Distribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib import pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib import ticker as ticker"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "sns.set()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Amazing styling\n",
    "Credit goes to https://www.dataquest.io/blog/making-538-plots/ and _FiveThirtyEight_ and creator of the _matplotlib_ style"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.style as style"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "style.use('fivethirtyeight')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('DATA/figure5data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .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>midpoint</th>\n",
       "      <th>gdpc</th>\n",
       "      <th>a2003</th>\n",
       "      <th>a2013</th>\n",
       "      <th>c2003</th>\n",
       "      <th>c2013</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10.0</td>\n",
       "      <td>20</td>\n",
       "      <td>0.193099</td>\n",
       "      <td>0.092346</td>\n",
       "      <td>0.193099</td>\n",
       "      <td>0.092346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>30.0</td>\n",
       "      <td>40</td>\n",
       "      <td>0.279632</td>\n",
       "      <td>0.092270</td>\n",
       "      <td>0.472732</td>\n",
       "      <td>0.184616</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>50.0</td>\n",
       "      <td>60</td>\n",
       "      <td>0.354766</td>\n",
       "      <td>0.106717</td>\n",
       "      <td>0.827497</td>\n",
       "      <td>0.291334</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   midpoint gdpc     a2003     a2013     c2003     c2013\n",
       "0      10.0   20  0.193099  0.092346  0.193099  0.092346\n",
       "1      30.0   40  0.279632  0.092270  0.472732  0.184616\n",
       "2      50.0   60  0.354766  0.106717  0.827497  0.291334"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\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>midpoint</th>\n",
       "      <th>gdpc</th>\n",
       "      <th>a2003</th>\n",
       "      <th>a2013</th>\n",
       "      <th>c2003</th>\n",
       "      <th>c2013</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1396</th>\n",
       "      <td>850000.0</td>\n",
       "      <td>900000</td>\n",
       "      <td>5.432730e-07</td>\n",
       "      <td>1.313583e-06</td>\n",
       "      <td>99.999999</td>\n",
       "      <td>99.999998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1397</th>\n",
       "      <td>950000.0</td>\n",
       "      <td>1000000</td>\n",
       "      <td>3.014858e-07</td>\n",
       "      <td>6.997651e-07</td>\n",
       "      <td>99.999999</td>\n",
       "      <td>99.999999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1398</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Above</td>\n",
       "      <td>5.097248e-07</td>\n",
       "      <td>1.042394e-06</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      midpoint     gdpc         a2003         a2013       c2003       c2013\n",
       "1396  850000.0   900000  5.432730e-07  1.313583e-06   99.999999   99.999998\n",
       "1397  950000.0  1000000  3.014858e-07  6.997651e-07   99.999999   99.999999\n",
       "1398       NaN    Above  5.097248e-07  1.042394e-06  100.000000  100.000000"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.tail(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Drop the last row as it includes NaN!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.drop(df.tail(1).index,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .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>midpoint</th>\n",
       "      <th>gdpc</th>\n",
       "      <th>a2003</th>\n",
       "      <th>a2013</th>\n",
       "      <th>c2003</th>\n",
       "      <th>c2013</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1395</th>\n",
       "      <td>750000.0</td>\n",
       "      <td>800000</td>\n",
       "      <td>1.046824e-06</td>\n",
       "      <td>2.630042e-06</td>\n",
       "      <td>99.999999</td>\n",
       "      <td>99.999997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1396</th>\n",
       "      <td>850000.0</td>\n",
       "      <td>900000</td>\n",
       "      <td>5.432730e-07</td>\n",
       "      <td>1.313583e-06</td>\n",
       "      <td>99.999999</td>\n",
       "      <td>99.999998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1397</th>\n",
       "      <td>950000.0</td>\n",
       "      <td>1000000</td>\n",
       "      <td>3.014858e-07</td>\n",
       "      <td>6.997651e-07</td>\n",
       "      <td>99.999999</td>\n",
       "      <td>99.999999</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      midpoint     gdpc         a2003         a2013      c2003      c2013\n",
       "1395  750000.0   800000  1.046824e-06  2.630042e-06  99.999999  99.999997\n",
       "1396  850000.0   900000  5.432730e-07  1.313583e-06  99.999999  99.999998\n",
       "1397  950000.0  1000000  3.014858e-07  6.997651e-07  99.999999  99.999999"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.tail(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Graph earners under US poverty line"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "After 14,000 entries, the scale changes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2013 individual income poverty threshold: `$11,490`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "subset = df.loc[df['midpoint'] < 11490]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "my_line_color = [86/255,180/255,233/255]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
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6sAreVNA+IJkj8lyBU8qO1i8gyd55ll1DIyl2Sdkhrefu3uXRsV5Tfz4eHOC2vkWgAwAAAOItqUsuW1tbVVZWFrguLS3Vzp07A9dHjhxRaWmpbr/9du3Zs0cLFizQZz/72WQOMSWk6gmXknRhmV23X2iobUBaWGhof7el773uCTw/4JNuf9nD5kwAAAAgCZIa6Cwr/BREwxgOKz6fTy+++KLuvfdeVVdX68c//rE2btyo2267LeLrNTU1JWysZyJe43mjL19SSeA6y9Ojpqa2uLx2vGRJOtgq2SypyDZDnWbwVIp0PMqePU0yUiebJkyqzUtMDuYBJOYB/JgHkJgH8BuaB1VVVXF7zaQGuvLycu3YsSNw3dbWpvLy8sB1SUmJZs+ererqaknSe97zHm3YsCHq68XzEzFRTU1NcRvPjre8UvfwEsUFFYWqmlMS429MrnfnePXbg6MvqayYd46KXZmd6OI5D5C+mAeQmAfwYx5AYh7AL1HzIKkr41asWKHGxka1t7fL7XaroaEhsF9OkpYuXaqOjg7t2bNHkvTUU09p8eLFyRxiSmhJ4SWXkVwy064FhaOPsdVNnzoAAAAgnpJaoauoqFB9fb3q6+vl8Xi0Zs0a1dTUaP369Vq3bp2qq6v17W9/W9/4xjfU39+viooK3XHHHckcYkroGAwOPqUpHuicNkOfrnHq5mcHY97X4rZ0ztTrQAEAAAAkTNL70NXV1amuri7osY0bNwb+vGTJEv3sZz9L8qhSS483ONDFahWQKrJsksOQvDGKcFToAAAAgPjiMMIU1OcJvs5zpnaFTvIfbpPvjH1P6FJSAAAAABNDoEsxPstSX8j5InlpUKGTpPxReuW1DBDoAAAAgHgi0KWYPm/wda5dsqXJWf+jVehYcgkAAADEF4EuxfR6gkNP3ighKZXkj7I0tHtQMiP0IgQAAABwZgh0KaY3pEKXN8oyxlQyWoXOlNTvjX0PAAAAgLEj0KWYXm/6VujGEj67PVToAAAAgHgh0KWYntATLjOoQidJPVToAAAAgLgh0KWY0ArdaCdHppKxjJUKHQAAABA/BLoU4rMs7etK3yWXox2KIoVXIAEAAACcOQJdivCalr7zmkcvtZlBj2fakstf7PXq3t0eDfqo1AEAAAATRaBLETs7zLDqnJQ+TcWlsS8PfbHV1DPN5ug3AgAAAIiJQJciXj0VOeDkjWEZY6oYS4VuyNa3OB0FAAAAmCgCXYrIjVLdyk+jCp3LJuWGjPcdlZGnmIcCHQAAADBhBLoUMeiL/Hi0oJeKDMPQRdPtgetVFTb9baU96v0ek310AAAAwESkUf0ns4W2KxgynmWMqeD9cx2qLrbJtKRFRYZa3NHvPdFnaXZ++gRWAAAAINUQ6FJEb5QtZdnRC1wpa2HRcOE33xm9Cnekz9Ls/GSMCAAAAMhMLLlMET0RGm5X5hiyGeldwcqJEUiP9rLkEgAAAJgIAl2K6ItQofvA3DQsz4UwYgTSo72cjAIAAABMBEsuU0RPyB66b73NpZKs9K7OjWZftyWvaclhy+x/JwAAAJAoVOhSgGlZ6g+p0BW5JmcsibCiPPI0c/uk/d0suwQAAADOFIEuBfR5pZGxJtsu2dN879xIl822a3quoUgdGF5vD1926TUtmRZBDwAAABgNSy5TQGjLgnRqJj4W03NtuuNCf8lxe4tPP3lzuBz55+M+XT7bLpfdkGlZ+uker7a3mJqVZ+imaqemZfiyUwAAAGAiqNClgF5P8HWeM3NDTHWxTSP/dW6f9KlnB/WdVwfV2GJqe4u/Ynek19ITx6N0WwcAAAAgiUCXEkIPRMnLsArdSPlOQ9XTwgPrni5L9+8J3ki47QiBDgAAAIiFQJcCQpuK50XabJZBrlngVGnWZI8CAAAASH8EuhTQG9JUPM85SQNJkrJsQ/9nmUurKph+AAAAwEQkfXHftm3b9MADD8jj8ejqq6/WFVdcEfT8T37yE/33f/+3CgoKJEnvf//7w+7JNKEVuvwMr9BJUoHT0HULnZI8eqY5eoNxy7JiNicHAAAAprKkBrrm5mZt2rRJDz74oFwul66//notX75c8+fPD9yzc+dO3XnnnVq6dGkyhzapQk+5zOQ9dKHOK7HFDHT9PinLbul4n6Ucu6HSbMIdAAAAMCSp0WH79u2qra1VUVGRJGn16tVqaGgICnS7du3Sgw8+qGPHjumCCy7QzTffrKyszN5w1TkYfJ3Jp1yGqi62yWZIZpS2c0d7Lf3lhE/Pt5iyG9INixxaXmZP7iABAACAFJXUTUytra0qKysLXJeWlqq5uTlw3dfXp0WLFunTn/60HnzwQXV3d+v+++9P5hCTzrIs7e8OrlBV5kydQJfjMFQWo9fcf7zm0fOnWxn4LOnxo5x8CQAAAAxJaoXOssLLMCP3R+Xm5mrjxo2B62uuuUb/9m//pk984hMRX6+pqSn+g5yAMxlPh8+uzsGZgWuHTA0c36emE/EcWWrLMcsl5Yzp3v3dVsp93UOl+viQHMwDSMwD+DEPIDEP4Dc0D6qqquL2mkkNdOXl5dqxY0fguq2tTeXl5YHrEydOaPv27frHf/xHSf4A6HBEH2I8PxET1dTUdEbjea7ZJ7UOn4oyv9CuxQtT59+VDLObPDp4Mvo+ulCp9HUPdabzAJmFeQCJeQA/5gEk5gH8EjUPkrrkcsWKFWpsbFR7e7vcbrcaGhq0cuXKwPNZWVn64Q9/qKNHj8qyLG3dulUXXXRRMoeYdPu6goPMgsKpd5R/SYwll5F4o224AwAAAKaYpFboKioqVF9fr/r6enk8Hq1Zs0Y1NTVav3691q1bp+rqam3YsEG33nqrPB6Pli1bpmuuuSaZQ0y6vV3B4eScwqmzf25I6TgDXZ9XKnQlaDAAAABAGkn6Afl1dXWqq6sLemzkvrmLL75YF198cbKHNSm8pqVjfcGBbj4VulH1eS0VuqZe8AUAAABCTb30kEJa3JZGxrlil5Q3BZqKhxpvb7k+7+j3AAAAAFMBgW4SnewPrs6dNYXaFYxUPMryydKQNoR9IzoXvNLm0+8PedXcz746AAAATD0EukkUGkKmUv+5kRy22P/uufnB07TP6/+8Nbb4dPcurx495NO/7RgMPA4AAABMFaMGOq/Xq2eeeUZPPPGE3G63JGnbtm360Ic+pHe+85264YYb9OqrryZ8oJkotEJXMUUDXSxr59mV5wx+bGjJ5QN7htdeDvikJ47TdBwAAABTS8xDUdra2vTJT35Sb731liRp1qxZuuWWW3THHXfovPPO06pVq9TY2KhPfvKT2rx5s84999ykDDpThAa6qVqhk6R3VNr09IhedGvm2LWkxKa5+Tb914HgTXNDlbjQgtzhHip0AAAAmFpiVuh+9KMfyePxaNOmTbrvvvuUk5OjDRs26JJLLtHmzZt1yy236Be/+IWWLFmie++9N1ljzhgn3QS6IZfMtGva6b10S6bZ9N7Z9sBSyxx78L3RDkUhzgEAAGCqiRno/vrXv+oTn/iELrzwQi1dulSf//znNTAwoMsvvzxwj8Ph0FVXXaVXXnkl4YPNJG6vpc7B4WubMf5+bJlkeq5NX1vu0r+/zaWbqh2yGcOfi9yQkz/ZKwcAAAD4xVxy6fP5lJubG7hevHixpk+fHnaf3W6Xw5H0lnZpLbQ6V55tjHo4SKbLshvKsoc/nhcytWhbAAAAAPjFTGFLlizRz3/+c51//vnKzc2Vy+XSb3/726B73G63tmzZourq6oQONNO0DwQHurLsSRpIGsgZY4XOonAHAACAKSbmksubb75Ze/fu1WWXXaY333wz7PnnnntOH/jAB7Rz507V19cnbJCZqNsTfF3onNrVuVjGWqEjzwEAAGCqiVmhW7BggX7xi1/okUceUWVlZdjzNptNy5cv17XXXquqqqqEDTIT9XiC40cBgS6qnLBAZ8miHAcAAADEDnSSNH36dH3iE5+I+NyKFSu0YsWKuA9qKugKq9BNzjjSQdihKD5p0Ay/b9Ak5AEAAGBqGbWxOBKjO6RCl0+FLqrckF879Hsld4Qe4gP0FQcAAMAUQ6CbJKGBroAKXVR2I/j0S0tS52B4NS5SyAMAAAAyWcwll42NjeN6sbe97W0TGsxU0j0YfF3ookIXS54juAJ3tC880A34WHIJAACAqSVmoNuwYYN6enokKeohFIZhyLIsGYah5557Lv4jzFDdXg5FGY+ZuTadGhjeOPfXk+HluKEKXceApTc7Tc0vtKk8m88rAAAAMlfMQPfQQw/ppptuUnt7u26//XZlZ9MsLR5MywprW8CSy9iWldr0WvtwoNvTGalC5+/vd9tLg3L7pCybtGGZUzNyWVkMAACAzBQz0FVUVOgHP/iBPvrRj+qFF17QzTffnKxxZbR+rzTyQMZsu+S0UUmKZWmJTYZi95rzWtLvD3sDlboBU/rrCVNXzCfQAQAAIDON+k63srJSN998s7Zu3aqWlpZkjCnjdXEgyrgVuQydXTB66P3LieB+Bo8f46QUAAAAZK5R+9BJ0mWXXaaFCxey5DJOwpdbUp0bi1WVdu3v9o7r74w8HXN/l6lf7vPKZ0lXz3docTGVOwAAAKS3Mb2jNQxDCxcuVEFBQaLHMyWEtywg0I3FOyptes9M++g3jjCyh92WfV4d6bV0vM/Sg02eqAf9AAAAAOliTBU6SfJ6vTp8+LB6e3tlGIby8/M1c+ZMORxjfgmcxoEoZ8ZmGPrQ2Q795YRvzD3nejz+E1otSYd7hwNc64DU5/O3QwAAAADS1ahvZ3fu3Kn77rtPjY2N8nqDl7s5nU4tX75c69atU3V1dcIGmWmo0E1MkcuQu39s1TWP6Q9ukT7DHp/G8SsNAAAAIPXEfDu7fft2feYzn9GCBQt0/fXXa/bs2crLy5Mk9fT06PDhw/rzn/+sj33sY7rrrrtUW1ublEGnu67B4DBSSIVuXAqd0sn+sd/fOWApyx4e6QZMS5GjHgAAAJAeYga6TZs2adWqVfr2t78tw4j8xvdf/uVf9LnPfU733HOPfvrTnyZkkJmmYzD4uiiLUDEeha7RGhgEax+UilyR+9YBAAAA6SzmoSh79+7V2rVro4Y5yX9gytq1a7Vv374xfcBt27bpyiuv1Nq1a7V169ao9z399NNas2bNmF4z3XSEVOiKXQS68Sga5xLVjkFL/REOxyTQAQAAIN3FDHQlJSU6ePDgqC+yd+/eMZ2A2dzcrE2bNmnz5s3asmWLHnnkEe3fvz/svra2Nv3gBz8Y9fXSFYFuYgpd47u/Y8CS2xehQmdGuBkAAABIIzED3fve9z7dc889evjhh9Xc3Bz2fFtbm7Zu3ar77rtPdXV1o36w7du3q7a2VkVFRcrJydHq1avV0NAQdt/Xv/513XDDDeP4Z6QPn2WpK3TJ5TgDylRXOEqF7rLZwa0NTvRbauqKtOSStgUAAABIbzH30P3rv/6rurq69P3vf1933XWXsrKyAoei9PX1ye12S/IHv49//OOjfrDW1laVlZUFrktLS7Vz586gex5++GEtXrxYS5YsGfc/Jh10Dwbv/spzSE4bFbrxGK1CNysv+PP5fEvkUhxLLgEAAJDuYgY6m82mW265Rddcc40aGxt14MAB9fT0yLIs5efna+7cufqbv/kbVVZWjumDRWrkPHJ/3r59+9TQ0KC77747YkUwVFNT05g+brKMZTzHPS5JZwWuczWopqZDCRxV5un0OCVNj/p898kjGvk5jubIiWY1dfXEb2Cnpdq8xORgHkBiHsCPeQCJeQC/oXlQVVUVt9ccUxeuyspKXX755RP+YOXl5dqxY0fguq2tTeXl5YHrP/3pT2ptbdW1114rr9erlpYW3Xjjjbrvvvsivl48PxET1dTUNKbx9Lb5pFPDJ3RUFGSl1L8jHZQNWNKpwYjPLS2xadmCOXqoMfLzIxWWlqtqVvRgeCbGOg+Q2ZgHkJgH8GMeQGIewC9R8yDmHjpJ2rNnj+644w7ddNNN2rhxo06ePBl2z1tvvaV169aN+sFWrFihxsZGtbe3y+12q6GhQStXrgw8v27dOv3mN7/Rli1bdNddd6m8vDxqmEtXoS0LOBBl/Aqi9O3Lc0hr59pV5JIXSZvIAAAgAElEQVSy7JHvGWmQJZcAAABIczED3Z49e3T99dfrmWeeUUdHh37961/rqquu0tNPPx10X29vr1599dVRP1hFRYXq6+tVX1+va665Rpdeeqlqamq0fv36sL10mYoTLifOYTM0L3/481aaJX1lmVN31ro0I88mwzBUmT3655U9dAAAAEh3MZdc/uhHP1J1dbW+//3vKzs7W4cPH9btt9+uL3zhC/rWt76ld77zneP+gHV1dWEnYm7cuDHsvhkzZujRRx8d9+unuo4BAl08/HOVQw/v98pnSVec7dDs/ODfTZyVa+hQb+xTLAdMTrkEAABAeotZodu9e7f+6Z/+SdnZ2ZKk2bNn6+6779aSJUv05S9/WW+88UZSBplJOsMqdJM0kDQ3K8+mW89z6fNLXTq7IHwaV+ZQoQMAAEDmG3UP3chTKCUpOztb3/3ud1VZWalbb71VR48eTdjgMlHoWR7FWVToEoFABwAAgKkgZqBbtGiRtm7dKp8v+J1vfn6+vve978k0Td100006fPhwQgeZKfq8lk70BVfoSgl0CTGmQMeSSwAAAKS5mIHuxhtv1EsvvaQPfvCD+s///M+g52bNmqW77rpLnZ2d+trXvpbQQWaKfV1mUFPx6bmG8p0EukSgQgcAAICpIGagW7p0qe6//34tXbpUAwMDYc/X1NTopz/9qZYuXZqwAWaSpq7gitDCQsJcomTbR//c0rYAAAAA6W7UxuILFy4MqsC1tLRocHB4I5jNZtOtt96qp556KjEjzCBNnWbQdVXRqFsYMQGXz7brscPRU5ubJZcAAABIc6MGuiF79uzRl770paj75QzD0PXXXx+3gWWaAZ+lAz3BAaKqkECXSO+bY9fsPEObdnsjPj9ahe5Px7z6f0d9OivH0HVVTk1jvyMAAABSzJgTxQ9/+EP19fXp5ptv1oUXXqi3v/3t+uxnP6tVq1ZJkjZt2pSwQWaCVrcl34g8V5olAkKCGYahC8rsWlkReZp3eaRnTvpkWeGVula3pV/v96l9QNrVYWnbkcihEAAAAJhMYw50r7/+uj7+8Y/rIx/5iC655BL19fXpQx/6kL73ve/poosu0sMPP5zIcaa9vpA8UERD8aRxxZjlP2vy6vkWM+zxv570BR1g88Tx8HsAAACAyTbmQOfxeDRr1ixJ0pw5c7R3797Ac5dffrlee+21+I8ug7h9wVWgHPskDWQKitR4fKT/ORK+9rKfghwAAADSwJgDXWVlZaCJ+Jw5c9Tb26tjx45Jklwul7q6uhIzwgzRH5IZsh1U6JLlbeU2FbuiP3+8L3zJZXCDCQAAACA1jTnQXXzxxfrRj36kxx9/XOXl5Zo3b57uuecevfnmm9qyZUugeofIQis+VOiSx2kz9OVlLl159tg/6RG21UXcawcAAABMpjEHuhtuuEHLli3TH/7wB0nS+vXr9eSTT+raa69VY2OjbrzxxoQNMhP0hy65pEKXVIUuQ6tnOlSWFfn5Px71qmNw+Gs0GGHLXKTHAAAAgMk05rYFWVlZ+ta3viWv119qWrlypX71q19p165dWrx4MRW6UVChSw2tA5Ef//VbPv33IZ/+ucqh2jK7ejzh9/R5pSy+bgAAAEghYw50gb/gGP4rM2fO1MyZM+M6oEwVVqEjGKQct0/avNur/CWGerzhyyv7vBatJgAAAJBS6GydJGEVOpZcpqwXWn3q8UQKdJMwGAAAACAGAl2ShJ5ySYVuctTNGv0Tv7/LUm+EJZe9Eap2AAAAwGQi0CVJv5dDUVLBxTPsWlgY+3N/pM9SX3hrOip0AAAASDkEuiQJq9CNe/ci4qHYZeizS12qP3f8XwAqdAAAAEg1BLokcYeEgWyWXE6qkjM43IQKHQAAAFINgS5JwvfQseRyMpWdQaCjQgcAAIBUQ6BLAsuyIpxyOTljgV+e09AFpcPTv2ba6AGPCh0AAABSDbEiCQZNyRxx7TAkp40K3WS7cZFDO06ZctmkxUU2ferZwZj3b28xVZnjVaHTUJZdurDUJheVVgAAAEwiAl0SUJ1LTQ6bodqy4c2MxS6pI3am0+8ODa+dPTDdrqsW8MUEAADA5GHJZRL0+0JaFlDVSUnl2eP7ujQc92nQd2b76nyWpadO+PS/R7zqGmRvHgAAAM5M0gPdtm3bdOWVV2rt2rXaunVr2PNPPPGEPvKRj+jKK6/UHXfcIY8nQofnNEPLgvQw3kAnSfu7zyyMPXLAp1/s9eo3B3za+IZHHpNQBwAAgPFLaqBrbm7Wpk2btHnzZm3ZskWPPPKI9u/fH3i+v79f3/nOd/TDH/5QDz/8sAYHB/XYY48lc4gJEbbkkpYFKansDALdnk5z9JsieKltOOUf6bX05+MROpkDAAAAo0hqoNu+fbtqa2tVVFSknJwcrV69Wg0NDYHnc3Jy9Oijj6q0tFT9/f06deqUCgoKkjnEhAhbculgyWUqOpMK3WOHffr9Ya8sa3wVtlZ38PUfDvtkjvM1AAAAgKQGutbWVpWVlQWuS0tL1dzcHHSPw+HQM888o/e9733q7OzU29/+9mQOMSHcIRU6moqnpmgVutG+SR496NP2lrFX6iKFv16vtKuDQAcAAIDxSepurkhvZA0j/E30qlWr9Mc//lH33HOPvvWtb+nOO++M+HpNTU1xH+NERBvPod4CSdMC1wPdnWpqak/SqDBWvaZN0qygx96R16HqnF492lGmk96sqH/3zwe6VNLZKmn0eenvTz4n7PGXDzbL1do93mEjRaXazydMDuYBJOYB/JgHkIbnQVVVVdxeM6mBrry8XDt27Ahct7W1qby8PHDd2dmpXbt2Bapyl156qb70pS9Ffb14fiImqqmpKep4XtrvlXqG90jNrihW1eyyiPdi8liWJbUE9y1YMrtMF5ZVKrfD1MbXox/Qc8SXK1UsUONbzXr3wgpNz41e1+v2WFJzeH+E3OIyVc0768z/AUgZsX4eYOpgHkBiHsCPeQApcfMgqUsuV6xYocbGRrW3t8vtdquhoUErV64MPG9Zlm677TadOHFCkvSnP/1J559/fjKHmBCnBoIrk2VZ7KFLRYZh6Nzi4a9Nll1aXOz/Fjm3yNDF0+3KsklVhYbWzA1eNzvgk/7jNY/+3DNNd+7wqNUdffmkO8r5J70ellwCAABgfJJaoauoqFB9fb3q6+vl8Xi0Zs0a1dTUaP369Vq3bp2qq6u1YcMG3XLLLZKk+fPn64tf/GIyh5gQbSFv7ksIdCnrw2c79PMmr3q8ltbOdSj39AE2hmHoqgUOfXi+XbbTy4Sb+y092xy+d85jSs81+3T5nMjfXm5v5ODW6434MAAAABBV0jui1dXVqa6uLuixjRs3Bv580UUX6aKLLkryqBKrLbRCdwanKSI5ZubZ9H+WuaI+bxux57O62BYx0EnSK6dMlWf7dLDH0soKm2bnDxfDo1boogQ9AAAAIJqkNxafatw+K6jyYjOkouh5AWnk3OLo3z4Heyzdv8erPx7z6T9e86hnxHJKty9KhS76Fj0AAAAgIgJdgp0KXW7pCq7yIH0VugxV5oz+tXT7pBdahyt5A1ToAAAAECcEugQLXW5ZynLLjFJVOLav54Hu4UAXfcllPEYEAACAqYRAl2BtA8HXpRyIklHOKRzbt9DgiK12A1GWXA6aksekSgcAAICxI9AlWGjLAk64zCxjDXQn+0fuoYt+H/voAAAAMB4EugQL7UfGCZeZpTxbyrGPfl+L2/I3LtcogY59dAAAABgHAl2CjazMSFToMo1hGHr/3NG7f7h9Urdn6M/RQxv76AAAADAeBLoE8piWjvYFv3mfmUegyzQXTbfpS8uco943FO5jL7mkQgcAAICxI9Al0OFeSyPPuCjNkgqcBLpMYxiG5ubbNC8/9te2xT2WJZfxHBkAAAAyHYEugQ50B1db5hXw6c5k+aOE9eOnq7XRTrmU2EMHAACA8SFhJNDBHjPoerQKDtJb/ihb6Z484VPXoBWzQvebAz7d/OyAtr7llWklN9xZlqUBn5X0jwsAAIAzN/ppDjhjB3pCKnT55OdMNlqFzu2TNrwwKI8Z8za5fdLjR32yG9Laecn5Fh3wWbp7p0e7Oy0tKDT0qWqn8hz8AgIAACDVkTASxGNaOjHiQBRD0hwqdBktP8K5KO86K/hbbLQwN9K2Iz7t7BjHX5iAxhZTuzv983Vfl6Xnm5PzcQEAADAxBLoE6fVII+tzBU4ph4pHRrNF+PJ++GyHZk3gZNOnT8RYnxlH/3d/8Gksv9rP6SwAAADpgECXIP0hB18Q5qYml93QreeN3tIgmv3dpizLUvvAcGPyRDDZNgcAAJCWCHQJ0h9SWMm2T844kDwXlAZ/O62q8F/nOQzdsCjyXjiHIRW7or/mqQH/vrsvNA7qay97dKTX1MEeM+4HlxDoAAAA0hOHoiSIO2TFWg6BLuNV5ti0Kq9DL7mLVZlj6LI5w99ec6Psn8yyS3PybOoYjL5n7dSA/79H+yx97WWPJH9YvG7hmVf+QpHnAAAA0hOBLkFYcjk1/W1+l667oDLs8fJsQ9n28Kbi2XZpdr6hV9vH93GeaTa1eoap2TFOTh3wWXqx1VSRy1DNNIrxAAAAmYhAlyD9IRU6llxObTbD0Nx8Q292Bgf9QpehOWd4aEpja/RAZ1mWvvuaJ9A644qz7bpk5ti/3Yl/AAAA6YH3bQniDq3Q2anQTXVzI4SvS2bYNecM+xO+2OqLelDKoV4rqA/i1rfGd1pmpBM7AQAAkHoIdAkSurQuh1rolPe28uBvt7Xz7Kott6skS5qWNfx4niP2QSlDWtz+4BbJyf7wx8dzSiaBDgAAID0Q6BKEJZcINTffpk/XOHXxdLs+ca5DdbP8Kd8wDF0936Fch5Rlk65e4ND5JWP71ny9PfJhKr4I2a03Smu5SCdmGgQ6AACAtEDdKEFCD0XJZsklJNVMs0U8oGRZqV3fK7HJkD/guWzSkyein3w5ZF9X5Kpb92D446cGLOU7w+fhQITVmN7RPzQAAABSABW6BGHJJcbLZhgyTpfGFheP7Vtzf5e/J12b29LjR716s9OfxLo84feeGogc/kJ7Jkr+Cp+X5nQAAAApj5iRIGFtC1hyiXHIthtaWmLTq6eGS2Xvn2vXOYU23bPTo77TIazPJ33imcERjcGjH37SFi3QeSM/PuCTHPzKBwAAIKXxdi1BwvfQseQS43PVfIdm5xnKsUsfnGfXP8x2aGGRTQsKg79tx1pIG2pQHqovyt660CozAAAAUk/SK3Tbtm3TAw88II/Ho6uvvlpXXHFF0PNPPvmkNm/eLMuyNGPGDH31q19VYWFhsoc5YSy5xESVZRv6ygUumZYl24hTSs4pNPTaOBuRS7GWXEap0JmWJH4RAQAAkMqSWqFrbm7Wpk2btHnzZm3ZskWPPPKI9u/fH3i+p6dH//7v/6677rpLDz30kKqqqnTfffclc4hxE77kkjfGODO2kCMnx7q/LlTUQBelQhfpsBQAAACklqQGuu3bt6u2tlZFRUXKycnR6tWr1dDQEHje6/Xq85//vCoqKiRJ55xzjk6cOJHMIcZN2JJLKnSIk7MLbHr3dNu4v3nHcyiKRKADAABIB0mNGa2trSorKwtcl5aWaufOnYHr4uJiXXTRRZIkt9utn//85/rwhz+czCHGhWlZYW+G6UOHeLp6gVNr5lqBw3YGTf/JlD950xu1N13noOT2WWH7OaMdiuKOshQTAAAAqSOpgc6K2MA4fCliT0+PPve5z6mqqkqXX3551NdramqK6/gmamg8g6YhS7MDjztlav/evZM1LCTZZM7LdzsMvT5i7oXa9HK7LitsC2ocfrS7SFJR2L0Hj55Q3qm+BIxyaki1n0+YHMwDSMwD+DEPIA3Pg6qqqri9ZlIDXXl5uXbs2BG4bmtrU3l5edA9ra2tuvnmm1VbW6vPfOYzMV8vnp+IiWpqagqMp33AkloGA8/lumwpNVYkzsh5MGlaohxnKWmXO0/vPrtIy0r9pT3LsrR9n1fqC6/qTas4S1VnUVo+EykxDzDpmAeQmAfwYx5AStw8SOoeuhUrVqixsVHt7e1yu91qaGjQypUrA8/7fD7dcsstWr16tW655ZaI1bt0EHogCi0LkEp+d8gny7L08H6vPv3coJ48EXmJ5sAoSy7bBywd6jET0oD8eJ+pxw559UaU5aMAAADwS2qFrqKiQvX19aqvr5fH49GaNWtUU1Oj9evXa926dTp58qTefPNN+Xy+wGEp5557rr785S8nc5gT5g45EIWm4kimHHv0g04k6XCvpV/u9eqpk7HDUqxDUV5vN3XPTo+8lrR0mk311Q7Z4/QLmK5BS3fu8MhjSpJPnzzXofNL+SYCAACIJOlnL9bV1amuri7osY0bN0qSqqur9fzzzyd7SHEX+maaA1GQTB9Z4ND9e4Z/q/DRcxx6o93US23DAW60MCcF91Ls8ViyJDW2mHq22aeDPcNVuVfbTT170tQ74rQ884/HfKfDnN+WfV4CHQAAQBQcpp8AYT3oHCy5RPIsL7PpjXabXjll6txim1aU2zQ7zwgKdGMxtOTy6RM+bdnnVawVmA/u9eq8EpuKXBOf63u7gsfZMRjlRgAAABDoEqHHE3ydx2cZSeSwGfrXRc6gx+bk+yvF7nH0lhvw+Q9NeeRg7DA35AvbB7V+ifOMG58PSdavP9w+S70eqSQr8mm7AAAA6SCph6JMFR2Dwe9+41G1ACbCZhhaUDC+edjtsfRym6luz+j3SpIp6TcHvKPeNxpbEr5djvSa+sqLg9rwwqB+uNMrM0JLFQAAgHRAoEuAjoHgN4fFBDqkgAWF4/t2f6PD0o93jy+gHeyx1DXiFxon+03taPPJHaV5eSTJ+G75w2GfOk8v5Xy93dTuTgIdAABITwS6BOgMq9BN0kCAESIFuhy7dN40m2rLbLphUXzWBr/R4d8Dt7vD1G0veXTPLu/pUyvHFpoi3RXv1ggvtAbv03vm5DjWogIAAKQQdnclQOghDlTokArOLjBkk39p5JD6c4f3vB3pjU/Pt637vXqx1dSrp4Zfr9lt6fV2UxdEOa3y8aNePX7Up7NyDB3rCw9vvd7E/mKE71AAAJCuCHQJELqHjkCHVJBtN7Sq0qanT7csOL/EpkVFw3OzMscY98EpkrS0xBYU3nq8CroesqMtONAd6TX1YJNXB0a0QAj93gm8psdK6F5UvkMBAEC6ItDFmce01Dti25EhqZAll0gRVy9waGGRKdOSastsQac7Om2GasuGA99YLS+zaU+nOWoQzAopzv3ffcFhLpaeiZ+1EhOHXAIAgHTFHro46wxZblnk8p8wCKQCp83Q2yvsWlVpl8sePi//tnL8DbzLsgydO4ZWBV0jvjf6vZaausa+L67HE789dJFOtOQ7FAAApCsCXZyFH4jCW0Wkj/kFhmbkjm/OlmQZqpk2+o+SU6dPf7UsS292jq8KGNrbcSL6I1T7xrvMFAAAIFUQ6OKM/XNIZ4Zh6F8XOlSRPfZ5W+SSasZQoWsbsNTrtXTX6/6TL8ejdxxtD0Z/rfDH+sfSOR0AACAFsYcuzsID3SQNBDhDc/JturPWJa9p6RuveHSkN3rYmZVryGEzVJo9+ut2e6TPPDc4+o0RxLNC1xchHEaq2gEAAKQDAl2che+ho0KH9OSwGdpwvlO7Okyd6LP0mwO+QI84Q1K+U/rQ/OEfIZfMtOvxo4lZu7in09Sv93t1sMdUSZahD53tOOPvrb6IFboJDhAAAGCSEOjirGOAJZfIHE6boaUldi0tkRYW2XSsz9LSEpvyneHz+h9m2fXaKVMn+uO/fPFQr6VDvUOpy5Ilr25Y5Ay772CPqd8d9Mlhk9bOc6giJ3yckZZv9sdxSScAAEAyEejiLHTJZSKbIQPJNK/ApnkF0Z/Pcxq640Knujz+ynTHgKV7dnnG3JpgPF5pM+U1LTlsw4FtwGfpRzs9gSr5oOnVzTXhoS9ShS7SYwAAAOmAQ1HiLHTJJRU6TCWGYQSWQhZnGZqVFz7/S7Kk6xc6dPns8bdIGDJgSrc8P6inTwyvlXyu2Qz6/nu93YzYoiDSHjqv5e8hmQ68pqWGYz49dsir7ji2cwAAAOmJCl2chR2KkkWgw9RVGmH+f7PWFWho3uK29HzL+FoYDHH7pAf3ejUty1B1saG/nAjfCNc+oLADWyKdcin5D0ZxpkFFfetbXj1x3P85e6nN1JeXOel1CQDAFEaFLo4GfFbQ4Qp2Q8ojMmMKu7DMFtS0+4Pz7IEwJ0mXzrLLNYafQguLDF06M3JF77FDXu3qsHQ4wmmcrQNjq9BJ6dO6YCjMSdKRXkuHErCkFQAApA/iRhxF2j/Hb84xlU3PtenaKoeeOenT/EKbLgkJZbPybLrjQpcO9foPMznSF/w99A+z7VpeatOsPEPNbkv/G+EUzX3dlja+EbmvQavb0qKi4ev93aaePhm5IpgOrQsiLSE90mvF3NsIAAAyG4EujjrYPweEWVVp16rK6PvlSrMNlWbbtaDApi37vHq5zR+4ZuUaet8cu+ynfylSkS1Ny/Ivoxyrnzf595n9/Qy7er3S91+P3tDuG694NC1Lumy2Q+86K3i8pmXp5TZTAz5pTr6hWXnDZcVuj6W9XaYWFtqUF+H0z3jqjjD8eJwq6jUtvdhqKssunV9iC6qiAgCA1Eagi6POsAodb4qAsSp0Gao/16lWt6VWt6VzCo1AmJP8B668f45DP2vyajwR5r8O+PRfB8bWaK59QHpon1eLigxV5gyHti17vXpqRGXvglKbPrbYoW6PdMdLg+rxSll26WsXujQtgftmQ3/GSNLh3jPbgzjSj3d79eop/+vUzbJr7Tz+1wAAQLpgD10chfegm6SBAGmsLNvQ4mJbUEuCISsr7fp6rUtfvcCpi6fbFeGWCTMt6a+nw1vHoKXnm31BYU6SXm4z9Xq7qd8f9qrn9FLNAZ/0VISDWeIpUqA70mvJirAUc6w6BqxAmJOkbUfosg4AQDrh17BxRMsCIPHKsg1Jhq5aYNOHzrbLtKTj/ZZ6PP59q197OfqyyrHa1WHqeJ+pf3vZo2g9x19pM8OC3h+P+fSPcxP3YzX0Z4zkX4bZ6TnzXyC1uMP/gYM+Sy47P78AAEgHBLo4Cj8UhTdEQCINVfHm5vv/641TL7mDPZZ+c8AXNcxJCgtzklQwoo/5G+2mnjjmkylp7Tx70L670bx2yqcjvZZWlNtVmj38c6QzSt+5wz2mikvOrK9fe4SqX8egVJFzRi8HAACSjEAXR2E96Ah0QFJFWqbpMBQzmEUzchniWLlPr1b8c3exGk8OVwqP9Jr62GKnHj/qU5Zd+uA8hwqj/Hx4vtmn+/f413H+71GfvlHrUq7Df2+kJZeS9GanpfNKxj1cSf6TQEO1D1iqyBke32OHvPrTMZ/OyjF0wyJnUMhMRW6vpdfaTTltHPICAMh8Sd9Dt23bNl155ZVau3attm7dGvW+22+/XY899lgSRzZx4UsuJ2ccwFRWWxb8Y23D+U5deXZw9eoLS53653Pi//usbo/0SptPjX2FQY93DEr//qpHL7WZerbZ1MbXPUHVRJ9lqbnfvxfuscPDe9j6vNJzzcPBsivCkkvpzMLnkLYIgW7kL6eO95n670M+9Xr9LSK2HUnt/g6WZen+PV7d96ZX9+zy6tFD7AkEAGS2pFbompubtWnTJj344INyuVy6/vrrtXz5cs2fPz9wT0tLi775zW+qsbFRtbW1yRzehHgt6VTIoShFCTztDkBkl8+x61ifpVMDlt47y67Z+f4+dj5L2tNl6W1lNi0otKk021KOXeqP8/v9Rw+O/oJH+iw9ftSn9852qM1t6TuvDaptQDq7wNDJkDYEr7ebuniGP5BGq9Cd6PcHwpFVtZG8pqXXTpnq8UrLy2yBip8Uufn6C62mXmozI/5S6skTpq45Z9R/4qQ50GPplREB968nfXp/Avc1AgAw2ZL6f7nt27ertrZWRUX+Tr+rV69WQ0NDUKDbtm2b3vWudwXuSRfHPFlBy7qmZUl5DgIdkGwzcm267QKnTCnQ9sAwDL1nlkPvGXFfscvQzTVObXzdo4ExFrjm5vuD4ZHe6Gs4Q5ujR/PYYZ+Wl9n1Xwe8ajvdW++t7vC/+3q7qZ3tps4tNqIGOkl65ZRPl8yM/CP9D4d9gcrfC62G1tc4A8sQ29yRXmvirRAmy1AfwyGdg/4+gjaWXQIAMlRSA11ra6vKysoC16Wlpdq5c2fQPR/96EclSa+88koyhzZhBwezg67PLaIjBDBZDMPQWI4IWVBo0+eXOvX7w/69bZfMtOvbr3oCe+FC1c2ya1mpTUd6LZVkGerxWPrRTo9aIoSi0XhM6duvDqprDIdybnzDo8tm29UZ497tLaYumen/s9e09MRxn9rc0jvPsgUt49zVYelIr6XZ+YZMywpbWTAW/V5LOSn6C6tIy097PFIhS+ABABkqqYEuUq+kiWxWb2pqmshw4uq53jlB18XuZjU19U3SaDCZUmleYmxWn/5J2H9MOi+rOGwP3ByXW+/I61DBqUHtb/c/duL0c4vshWpRccTXLbMPqtUXPUmMJcwN+f3hSCnTkuT/GXqwx9Jfdh7UdOeg/tJdpOf7/KscGo57A/cMeXbfSblze9Tts8trzRz7IE57ac9BVTgn3h4i3tq9Dh3rmxH2+Bv7DqrMMTnj5ecBJOYB/JgHkIbnQVVVVdxeM6mBrry8XDt27Ahct7W1qby8/IxfL56fiIno91rSyeDTCi5aNEPF7KGbcpqamlJmXuLMlA1YamwM/n6+YUmBzsqNvAz8VLNPT+8JPyikMsfQv1Tl6VuvJiZIlGVLZ+XY9Xr7cEVqv2OGls116OUXRo4//OdQT3aZyuacpa5uU2od/yEnh7Nmaa9paX6BTX9baUuZ5Yx/OeGT2jtB36sAACAASURBVML/PSXT56iqOPmrJvh5AIl5AD/mAaTEzYOk/h9uxYoVamxsVHt7u9xutxoaGrRy5cpkDiEhsuzS8tyuwPX0HIMwB6SpaVmG/mH28ILNxUWGKqMcNiINNToPtrrglL56gVNzCww5E/RTdn6BTRdND37xZ5pNfXb7oAZH2QL3XIupLzYO6t7dZ3ZiZcNxn/560tQv9nq1vWXkKZxW3HoBnoljUfY2dp9J34pRbG/x6YdvePSHw175Iqw+AQAgWZJaoauoqFB9fb3q6+vl8Xi0Zs0a1dTUaP369Vq3bp2qq6uTOZy4sRmGfNbwm7p3zzizBr8AUsOaOXadnW+o9/SpkLGWhs/NN1SSJZ06fbDJOyptulA9cp7uiVfoVODQkyHZdkXdpzcW2Xbpstl2VeYYmpYltQ+M/ndCxSuCPH7Up9oymx7a59VfT5py2aX1NU4tKEx+Rex4f+Qk2x2l3cOZ2tNp6v43vbIkvdYuFToNveMsfu4DACZH0s9yrqurU11dXdBjGzduDLvvtttuS9aQ4mKWc0DFxUWqKrRpeRkHogDpzDAMnV86tjfoDpuhW5a49MRxn4pc0t/PsOutfcHPh8an6mKbXgo5jXE8DdD/6RyHpuf6f85cUGJXw/HJ67V2uNfSvbu9gZMxB3zSA3u8+tpy54SWYh7sMXWiz1LNNJvynWN7neNRThjt9sS3gvazPZ6gr+grp0wCHQBg0tCcJ07OzelT1QLnZA8DwCSoyDF05fzIP06Xldj0v0eHA9fsPEOLIwS6Dec79Y1XPPKNkj0KncHN088vtU040Lls0tISm15o9Y+pwCndsMipu14f2/6/0DYHzW5Ljx706dSApRm5hi6dZR9zuOsatLRlnzfQfmBalvTFpS4Vu6RHD/n0SpupJdNsWjvPHlQ57fNa6ohSieuJkJTdPksOYyhwj+5kv78pvCGpNaQims5tHtKRaVk61mdpeq4RaE0CAFMZgQ4AEujdM+z64zFfIKj9w2y7FhTatPUtf+sCSVo6zabZ+TZdvcChLXu9Mgzpw2c79O7pNn3sr8EpZXlZ8CEkVYWR39DOzjN0OMqesiy7/2POOb2sdEW5TTNyDZ1bbOrUgKV3VNo1LWti/+7/OTIcMh856NOMXEPvPMummbk2ZdmleflGIJB5TUuWJKfN0ObdHu3pGh53+4B0zy6P3l5h0x9On/R5tM//eisrh6ti0apzktQ9Ipd6TUu/2OvVs82mSrOkm2ucgWpnqOZ+S7/a71X7gKWjMV7fYdDrLln6vJa+vmNQLW7/wUBfXuZSboq20ACAZCHQAUAClWQZ+uL5Tr3QYursAkMXlPr35F1b5dDvDvk0zSVdvcD/o/hdZ9m1vNQmj+VvfC5J76y06amT/uTntCmsebjDZmhVhU3PNA9XiT5V7dDSErv2dZn6j1c9GnrmbWU2XTnfoXynIoaPdyZw2eCxPksP7/dJ8oeyi6bbdE6hTbs7TL3UZqrf6z8Z9ER/eHA62GPpYE9wFfKpk76gQHcsRuB6sdXUgW5TlTmGftY0XP1rG5AeO+TTjYsjB7qH9nm0s2P05ZpeS2p1SxU50e/pHLTU5rY0t2Dyqkp9XkuPH/Wp12tp9Qy7KnPSb3vAH4/6An0fW93SUyd8unQWb2UATG38FASABJubb9Pc/OA3zyvK7VpRHh6g8kL2i62Z69Cg6VWr29J7Ztkjnqr5gXkOHe3z6FifpYvOsuu8af6PtaDQpptqnPrDYa+KXIauONuhQtfYw8Rls+1R+t9N3J+Pm/rz8eClipHCXDR7uyy5fZay7Yas00vwYvnGK5GXj77R7q9Kur2Wth3xKdsh/eMch7LsGlOYG3Ky31RFjl3H+0z9cq9XvV7pb1w5qpL0YqtPP9vj1YDpX85aW2ZTnsPQ3023q2gcX4+J+uVeb2BZ7a4OS7dd4BzzktNka3Vb+t0hryxLet9ch8pPz/vHQuZjw3ECHQDwUxAAUlihy9D1i2Lvzy1yGfrSMpd8lhVW/amZZlPNtOjNzWO5eIZdr50ydajXUnWxoY7B2JWw/9/enUdXVV8LHP/+zjk38zwSQphnGgHF8KCCrbSIrQvqBFb7nGoRtUqtWm310Scq+vSh1qeCKFZfxaFWxYlCfaBWjBqUBsEwSSBMISEh83jP8P44yU1ubhISCAmB/VmLtUjudM69v3ty9vnt3953pnt4LddsM9Wzq936eT2RHv+Uys6qtuDuFn0HD1V7uWRQ5/48Lttukhhssb/Z+7O6Jo7YQjeYawxdK7zwUUMg+89DFjeO8hBmuMFWjQUXDzT4XmzXz5wdqXN8wRxAQY3D67kmP+yr07eNlNOe9Px2L7kV7nt5qMbLH8YFUV4v7SGEEKI1EtAJIcQpoqtT+SI9ij+M8+C13cIph2vd9WytBXWDIxXDojXuTPewMs/iqyKL8uPsqX7tcIONRXa7RUdaC+YC64p2zrYyh086WWimzsIvmAOocXReaKXpfKNyLzz5rZdwo6nQyjM5Xu4d72kzyDJth+I6h7hg5WuN0RFfFgbuzyeHbD45ZDMsShEXrDgnWWdEiwbspu106SxeboXNxiKbIVGK8W1Ukq02HV8wB7Cn0qG83uHb0sBxUG2C4zjtthYRQohT3cl3WU4IIcRJQ1OKYN0tYJIUqvjPM4P49ejAa4GN7VpCDMXlQwz+e2IwP03r2Jq8C/q1fr8xMRo3jjK4YohBWCcuP/5b0vH/aVtf0D2VK2ss/6qZpgP/udHL67kmdS1KnhbU2Cz8l5f/+NrLwn95KWyWouo4DnmVNpkFFusPWX6zWY7j8EVh2/uzs9zhy8M2T+V4OVLX9LhV+0xu/byeuzbUsa8y8PG241BvOWQWWGwssrCP0mD9cK3D4s1e/nHAYslWk03FFo7jUOl1cJo9trXU231VDt+WBG5DnQVl9eDtwob2luOw9oDJX3NNCtrobSiEECcTmaETQgjRKX1aKaZxVkJgUDazv86Z8RqWA2sPWmw4bNP89HhAhOKOdA/BuqLC6/gFUWEGvvV+P0jROSdZo9qEZ7d52Vne/sn7D1N0Pm8ngBkSpdh1lOfoaWsPWhTUOIyIVmQdtonwQG65Q13DbhXUODy+pZ6xcToHq212VzTdBhAdBL8e7aFvmCK/2iG/A+sT62z46rDF9H4GhTVu6wkHt9Losu2mb81deb3DUzle9lT6P+ePU3UuaydV9dNDlq+yK8DKPItV+y12VzgMjFDMH+Mh3KMoaGUGeG+l3WpAB/C7DfVoyi36c91wo9OzdWZDMFhvw/ZSmw1Fti899V/FFgvPCurUbKg4Nl7b4ZsjNgkhiv7hqttnXR3H4esim4PVDv+WpJMUKp+56D0koBNCCNEpCSHQL1yxv2Gt3Lg4jbjgwJMfpRRpEe7vfzlC46phDh5Nsb/KLUQyMlojSHdvn56q80Wh7Wuu/oMU/wDR0BRRDUHKlhKbCi9EBUHfUMVfdpm+AO2sBI2BkRpnxGp800YAcH6qzrIKs8ON3HvKlhKbLSVt315cR5s9CMvq4cFsLx4NYjtReOWzApsf9nXYUmL7pa0W1Dj885DNeX11Xs81A4I5gI/zLWb213GAT/ItaizoF6bYWGyTEqb4uMW2Nm8FsafS4Y3dJtcM97Q6Q/d2XvspsLYDXx62GRtvM6Hh4oLXdthYZKNrMDpGa7W9wddFFn/5zqTGbD1Nt7jODaRHxPT8yb1pu59LqK4YHt39Ac+J5DgOj232sqsh1faXww0mJnW+6u7BKpvMQpvUMMXEJK1TrUQ+LXALGgF8lG/x4ARpiSF6DwnohBBCdIqmFPNGevjHAZMwQ3F+asdOvBpnOfqFa/QL97+tT5jG3JEGH+db9A3T2kzDDDUUZ7eoDnpHuocvG2bkzk50Zw9npOnkVthUtrKEbVSMxox+ekDFxM7waHDTKA//862Xkzkpz2u7jd47Kr/G4ebM1ju0v51n0idU+do+tPZat3zeRnf3DsgstJmaYlPQiWqnLb2bZzEhQcdxHJ7J8fJtQ6VSjwaz+utMb6iIWV7vpqg+t93kaNma+TUOI2KOeZM67ZsjFjvLHN/FCYD8apul20xfv8WZ/XUu7N/1p3BfFlp8edhdVzmjn95tQWNepeML5gBW7DI7HdBVeR0e2uT1zVTX2wbnpnT8OdbsbzpYVJnweYHFtFQ5TRa9g4xUIYQQnZYUqvjF0Parb3bWuHidcW0UymiPrhSTk/0fNzRKY9HZQRyqdnj4G6/vpH1ktLsmcOYAg3HxGh/lW3x2DOvlfpKmMyZW44qhbjP4o4UgKQ2pj839OFXnwwNNQWWfUMW8kQaPbvZS1XYtleOiKVh4ZhAHq22e2dq5F6mz4Ilvj7PSzVG8tMM8rvVwjbN7B6odXzAHbrD5tz0WQ6M1PAoe2eylroPx/PEEmI0cxy304gCD2ulFuPmIxVM57uey5oBFcqhCV4HVZVftszinj05MkHLXIOIWMSqudVjdEJj8tL/h62fZ3nblVztEByuO1Dq8sMMdy1tK3F6Yjb0eD9c6vLXHpNZ0SIvQ2F/lkBqmmDVA9yuaU1TrUFLnMCRKdWp2rOWMb63lVmZtbea/LRuKbL+047/tNjsV0DX2N2z0TYnNtNQOP1yIHiUBnRBCiFNSiK4YGKm4eIA7GxcdpLh8cNOfvf4RGpcPVnxX7qWgxiFIg7kjDV7YYVLdEOs0BoDFtQ4TEjVf8ZfGptxT++gMj3JbOiSGKDYUWby1xz9S0IAf99X53++aAqhzkjUuGqBzqNphc4mNpuCiATp9wzV+MdTg2W2tB1vDohQ/H2LwYLaX5jVTBkcqZg0wGBypeH672WZl0FExbnGbpFCdSwc6/G3PiekzeKw6stbvaFbtM1nZRormW7tNUHQ4mAM3fXRqH40+oW6a8b4qh75hyjd7Vl7vsOGwhaYUQ6MU/cIVlgNbS20Kax1qa0PJ2mXyySH3M4kNhlHRGpOSdUZE+69HfW+v/4a1FUyaDryw3UtGos5ruSb1tjtrt6XE9lUI3VXu5Z7xHqpNMJQ7u92c7Tg8scXLtjKHMB1CDf+009dzTV9A98ouL9+WuLd+W+pu45YSN1C+fIj7ndpYZLG0Ydymx2r8enTH1zOW1AXu57ZSO+BCTUt1lsOOMpv4YMWucv8xX2e7+9iRwLK1gj6VJ/baxWlpf5XNF4U2qeGKf0vUTqm04Z4mAZ0QQohT2vR+Buf11dEVAScQwbpiwXgPuRUOaeGKMENx35kaueU2/SI0X0Pr9vQJ0+gT5v5/Rj+D4lrHd/IOcMkgnYlJGmsOKApqHII1936Gprh5tMG+KodIj/LNRpwZrzEwQvnNWvQJVZyTrPHDvjoeTTFnsMGru9zZlO8na1w1tOnk+ebRHuosh3UHrYC1Z5ObpbFN72dwVoLOgWqbZ3LMTqeOKuDBCUE8mF1/wmYUWzM40n0f23rNtoI5gB3HUAzHdOCPGwPP7m8YaVDhhTd3m34zQ6E6GFrzlhqJUNZ0h5I6N700s9Dm/FSdnw3U0ZXCdpxW1ya2ZVuZw7aypjfh3RbB4P5qhz9sqKe03k05vXa44Ve8aNMRm21l7utVW+6/5qotdwav3sYXzLW0Lt9iWqpOYojye/3NJTa7KhyGRnXshL21wHXrUQI6y3H4n2+97X6mRbWQFHr01y9rJVO4sMbpUEDY+B4F690TnOyttFmz3yLcAxemGb7iUSezkjqHI3XuBYTG74ppG0zp0/mMDNE6CeiEEEKc8trrpebRFCOim26PDlKMb6VqZ0f9KFUns9DGa0N8MExJdoOwP473sLvCoV+48s2WaEoxIMJ/25RSXDPc4LHNXsq9bqGXX40w/E4sf5CiMypGUWvRakXAYF1xQZrB8GiNzAKLQzUOY2I1JiT4zwjFhyjiQ3TmjYIvCm02trI+bmZ/PSBYABgapUgIUZyborPqONYjdkSYAXHBiggDfj7E4N29Fl8X9ezqxbZmUWssoINvx5oDli+1MvkEVFUsaQhU6m1Yvt0kOVTRL9wdA5vaWAvZXHFd67Nnza3cYzI5WQ9IC80uthkaFVgRd2eZzXflNrYDw6M1hkVrfi04GmUdthkZY5Eapthb5XCwymFSsoauIKfErUaad5QAeG+lTVJo03fZcRzK6t0qsM2/M0WtrDOts2F/lUP/iLY/l6Jat9pscS1MTdG4YkjXpqG35LUdlmz1UtzQ6qS83mTeqBP7msfrswKL/90ZmJb+3l5TArouJAGdEEII0YWSQzUeOTuIz7bv59xR/XxX7g1NMSy6YyftfcM0HskIosLrBphtvc7RDInSGNLKSXVLjesXD9c6PLfNy6Ead/3S95M1pvXV+SjfCmjiPjbOfd4L09y1XLvKbb483BQkDI9SXNjfIC1CsbvCbQ6eEqYYGKF4YYfpu29csDtj+cquwABpeqrOBWk6Ybr/CfioGKfDAZ2nYfe9HYz/5o00+Nsek6Lao9+3qxTUOB1aqzcqRrG19NjSUk0HFv7Ly4VpOgMiFJnttPZolFthU3qUgG5DkRtctfRduU2d5bBmv0X2EbeybXXAR2xx2SCdglYCKgd4aaf/A9qq6tqWjcU234vTCNEVNabDf2/2sq/KIS4YJibqDIpUDI/WKG5jHx/I9nLTKKPNtb2v5Zq+tXcf59ucnWAzLFqjvN5hT6XNoEiNSM/xBeqO47C9zEEB9bbjC+Ya96/GdALSaTurMRUyLVwdU3XRttiOu/aytXe3tN7dN0m77BoS0AkhhBBdLNyjGBRce1xpWJpSRAd14UZ1QGKI4g/jAl+0f7jyKzIC+E5yDU3xgxSdH6TofD/ZZs0Bk9ggxSWDDMIbTjS/F+v/Plw73GBolHuSf04fnWgPvJOHXxqlR4MZ/XTfczQ3OqbjzeN/NkBnUKTGU996A9IKWxoSpRgXr/F2nqL1RgZtC9bwS71sy7l9ND4rsDvdNmNqH40rhhjkVTp8esjya/PRGZ2p7vr89mPPpc2tcPiPr92Uz/a8sfvEze5+VWTzVVG9u3Y0RLGvodXKkTr4+373dXWF33rUlpZuNfnVSLfXpmk7mI67Pre83u2b19zKPJMZ/XRe2GH6xnL/cEWkBwbYYQy03dYtm4ot8mscxsRopEW4Y9lxHCpNiDCaLl7YjluoJutw2wNrc4mNriA+uGldZ3O241DhhQgPrRbj2XDY4oUdpu89KKhxGB+vkRKm2s1saJRXafN5gU1JvcPUPjoDIxUKCDMUB6udgAtBzZXWu2tKjya/2ua9vRaagpn9jaP2CCypc9h0xG1fMSy648eK3kwCOiGEEEK068wEnW9Lm07u44Jp9aRqZIzGyJijR6GaUgEVCKf00Vm9v+nk/rJBBhFtzG4khChSQpWviEqwBrMG6Kw96DZDTw5101EHR2r8MMWtxPgf44P4rMBCVzAoSmNktKLKdNe81dnuiezACLc64xmxGh/W+AcawRoMjFRsLws8+/9xX51LB+lkH7HZWmqTHKIYHaux4bDtF0ClhSuuHOrhnD427+VZ7K602z3hbfQ/k4J8FwcGRSoGRWrMGuDwXbmb2vvCjm5cxNgJRwvmusvWUoetbQTo7QVzADZuem1KmMWRWjegiw9WrbYD2VnusDPH/7PY2xBEfksCqzPr/daqvoVF3zCFhrvmEdzP95bRHmosePk771FnZJsH3eGG+z0aGKEYEqXxTp7J10U2NZb7nbg93UO0pylg/LbE5vnt/jNo7++zeH+fxagYdzsMTbGnwmZHmU1yqCKn1Kbedi+2fFnoP74bW5qE6G5qdLW3/W3fV2UTE+RWTVUKUsMC08cdx+HZbaYvpXdbaT13jQ1qc31zaZ3DQ5uaLiTcMNJ/7eipSgI6IYQQQrTrzASNd/KgvCH4uDCt608fLkzTKap1g5SJiTpT+7R/Zf0XQw2e2+6l1oJLBxlM7aPzo3b6hsWHuO0qmotsWH5kaG6xlUYZSRofHnRPVBVw2/c8DG9Il134L6/ferGkEMWF/d2ebePjdcY3S887r6/inwfqKLfd123srzggQuPXY9z9qzYdPjxgsXq/1WpwMTlJa3WmNzpI+U5U6218TbHBraL641SdraUOAyIUW0psPujCdY6GcmdQa06uIqknVPO2I53p7dhca/NsLdce7q5wuDOrHk11PE24UZWJ30WR5gpqHH6XVU+YAeck68zop/Pyd94256G3ljp8Xmizt9L2K/LUqL12L7UW/LkDFxn2VTlkF5usb3iu+GD3u5xb4bD5iLvOcny85vcelXvhiS313JEeRG6Fzd5Kh1ADoj2KatPh9RYzvu/mWZwZf+pX1FSlpceYjC387Ny5k2HDhvX0ZogeJuNAgIwD4TrVxsGhapusw27J8ZPlBMlx3BkTTwdSwzorp9Rm8xGbMbEa34ttCi4Latz0L6/tNqmfmKi1u4Zp47ZcyqMHkBKmAtoUNHeo2ubjfJsay6HKC1vLbPqGKX492tPmOspGjuOwMs/ik3yLlHDFDSM8xLTo4ba91OaxLYEn8GfGa5R5HXZ1sALo1D4aZyfoxATDY1u8lNQd/TFp4Yo+oYqvi2wc4NJBbiB6POmW0/rqfFti+3oPtnS0pNm08KYUzJYWjPewt9Lhf3d2vvqrOPncnu5p97vXnU7U3wWZoRNCCCHEUfUJ05g54OQ4KWqklOI4a060aXSM1upaveRQjetHdPx9iNQtzuxAg+s+YRqXD2l6XtN2OrSGCdz34aKBBhcNbPu0bkSMxrxRBqv3W8QGqYaUVrciam65zSObvdiOm/J3RUNvOUPBiztN8iodNOBXLdLXHp4QRK3lBr9/220Sqrs9+Fr2E7xmmEFahMaceje1LtKjMG2HT/Jtv9mumCD4aZrBilYK5DT30zSdWQ2zrdnFFs9tN32zWQpYeJaHpBDFF4U2f94Z+Fx3pnsYFq3x9h7Tt5auubhgtxpofIhi2TZvh9JixclrR5l90gR0J4oEdEIIIYQQJ5mOBnOd0TIltNHgKLcya0GNw5Ao5dci4/djPewqd4gOUgHrJpVShBpuwZDGQK+o1uGPG+t9AdZZCU2FP5r3TDM0xdyRBk9v9VJRDxmJGpcMMoj0KGKDYVe5w4hojbxK94lK6900vGHRGj9Na9qHcfE6iyZorC+wKKh2mJik+yrAZiRpfFqg+K7Z7OPERM3XH++CfjpbS22//n+N/SgBRkRr/O4MD49v8XKk2UxksA6DIhQjYjRigxQvf2f6CtQMjFAMjdLYW2Wzo8whRIebR3mwCnP5e11/3xrMjES3yM2ucpvsYrch/IHqwBnDc5I1Lh1ksKPMZnuZQ7XpEG4oNpfYfpVRR8Uo4oMVnxXYnSzn4wbSPx9i8OZu65jSSZNDVYeqtPaU/uE9n01woknKZRc51VJrxLGRcSBAxoFwyTgQcHqOg62lNv84YBIXpLh0kNFuSuqJTJsFqLUcvjrsFvIYHOn2fWyeLlxnuVVD/1Vsoym3GE//CP/ZnFrTYWOxTVywYmSMFtBwvKDGDcqGRGl+vfdK6x3CDXffdu7cyZChQ93XAcbGawFNy/dW2ryaa7Kr3G1TcH4/nYsG6K2mN9uOmyZ7pM5hSJRGQkORkNJ6hwVf11PbwWzWhGC4abSnWX9Ci6e3+s9qxgbDnelBFNU6vLnH9Ov/d3aCxrXDDZ7dZrLpiM2ACMXVwwxMG7aX2WQfsYnyKI7Uua05OrpdrYkPdluxNK/62T9c0SdMsb/KDZ6jgxTBGnzR7D4X9NPbnb3uTifqeCABXRc5HQ/YIpCMAwEyDoRLxoEAGQfC1ZlxUOl1sJy2e1AeTU6JzYpdXhSKXww1WHvQYlNDi4WfDdAZHKnxRaFFQojih30DW4Os2W+SWWhTbzn0CVNcPtjwzXoW1zo8srmekjq31+SvR3sIaXh8neW026qlMXj/8w6Tr5r1LpyUpDGzv8EzW90+gQMjFDeN9rC30ubpnKYqnJcO1Jnez6C0zp3NjPQQEHw3Kqlz+McBi3rbYWycxhlxJ0elS1lDJ4QQQgghxCmurXYdHTU6VuPBCU0N3oZGKbaW2oQZisGR7gzlyHZ6OZ7fz+D8fq3fFh+iWDQhiLJ6N1Wz+Szj0fpuNq55vX6EwVkJNoeqHcbEar7+eb8f66HKbOqZFxOn89vvKT4rsOgbrjivrxuUxQSrgKI/LcUGK+YMPn3CnNNnT4UQQgghhDjNGJoivQtnqHSliOtAQ/C2aEq12hvO0BTRLdpYjojRGNFO8Clc3f4OrV69mjlz5nDxxRfzxhtvBNy+Y8cOrr76ai655BIeeOABTPPkbJYphBBCCCGEED2tWwO6wsJClixZwrJly1ixYgVvv/02ubm5fvdZsGABd9xxB2+++abbV2Xlyu7cRCGEEEIIIYToNbo1oMvKymLChAlER0cTGhrKtGnTWLdune/2/Px86urqSE9PB+DCCy9k7dq13bmJQgghhBBCCNFrdGtAV1RUREJCgu/n+Ph4CgsLfT8fPnzY7/aEhAS/24UQQgghhBBCNOnWoiiOE9ghobXeGs1pWtsx586dO497m7rSybY9omfIOBAg40C4ZBwIkHEgXDIOBDSNg65sX9CtAV1iYiLZ2dm+n4uLi0lMTPS7vbi42Pdzyxm9lk6mvi7SZ0aAjAPhknEgQMaBcMk4ECDjQLhO1Djo1pTLjIwMNmzYQElJCbW1taxbt45Jkyb5bk9JSSEoKIhNmzYBsGrVKiZPntydmyiEEEIIIYQQvUa3ztAlJSVx4403cuONN+L1epk1axZjxozhN7/5DXPnzmX06NEsXLiQRYsWUV1dzfDhw5kzZ053bqIQQgghhBBC9Brd3lh8xowZzJgxw+93TzzxhO//w4cP58UXX+zmrRJCCCGEEEKI3keVlpYGVioRQgghhBBCCHHS69Y1dEIIIYQQQgghuo4EdEIIIYQQh+tTugAADI9JREFUQgjRS0lAJ4QQQgghhBC9lAR0QgghhBBCCNFLSUB3nFavXs2cOXO4+OKLeeONN3p6c8QJ8NxzzzFnzhzmzJnDk08+CUBWVhZXXHEFl1xyCUuWLPHdd8eOHVx99dVccsklPPDAA5imCcChQ4eYO3cul112GXfccQfV1dU9si/i+D355JPcd999QOc/74qKCm677TZmz57N3LlzKSoq6rH9EMfm008/5aqrruKyyy5j8eLFgBwPTkd///vffX8X/vSnPwFyPDidVFZWcvnll3Pw4EGg644BMiZ6l5bj4O233+byyy/n5z//OQsXLsTr9QLdMw4koDsOhYWFLFmyhGXLlrFixQrefvttcnNze3qzRBfKysriyy+/5OWXX2bFihVs27aNNWvWcP/99/Poo4/y+uuvk5OTQ2ZmJgALFizgjjvu4M0338RxHFauXAnAf/3Xf3HppZfyxhtvMGrUKJYvX96TuyWOUVZWFu+//77v585+3kuXLmXcuHH89a9/5Wc/+xmPPfZYj+yHODYHDhzg4Ycf5tFHH+XVV19l27ZtZGZmyvHgNFNbW8vixYt59tlnWbFiBdnZ2WRlZcnx4DSxZcsW5s6dy969ewF3PHTVMUDGRO/Rchzk5eXx8ssv8/zzz/PKK69g27Zvoqc7xoEEdMchKyuLCRMmEB0dTWhoKNOmTWPdunU9vVmiC8XHxzN//nw8Hg+GYTBo0CD27t1LWloaqampGIbBBRdcwNq1a8nPz6euro709HQALrzwQtauXYtpmmRnZ3Peeef5/V70LmVlZSxdupRrrrkG4Jg+7/Xr1/v6cE6fPp3PP//cd6VOnPw+/vhjfvSjH5GcnIxhGCxatIiQkBA5HpxmLMvCtm1qamowTRPTNDEMQ44Hp4mVK1dy5513kpiYCEBOTk6XHQNkTPQeLcdBUFAQd911FxERESilGDp0KIcOHeq2cdDtjcVPJUVFRSQkJPh+jo+PJycnpwe3SHS1IUOG+P6/d+9ePvzwQ+bMmeP3uSckJFBYWMjhw4db/X1paSnh4eEYhvt1i4+Pp7CwsPt2QnSJhx56iHnz5vk+u2P5vIuKioiPjwfAMAzCw8MpKSnx/UEQJ7d9+/bh8Xi45ZZbKC4uZsqUKQwePFiOB6eZ8PBwbrjhBmbPnk1wcDBnnnkmhmHI8eA0ce+99/r93NZ3Xf5GnNpajoOUlBRSUlIAKCkp4Y033mDBggXdNg5khu44OE5gT3alVA9siTjRdu3axS233MKtt95KampqwO1tfe6aprU6TjRNvnq9ycqVK0lOTiYjI6Pd+x3t85ZjRu9mWRZZWVksXLiQF154gZycHN/aiebkeHBq27lzJ++99x7vvPMOq1atQtM0vvzyy4D7yfHg9NCZz1HGxKmvsLCQm2++mZkzZ3LWWWe1ep8TMQ5khu44JCYmkp2d7fu5uLhYrqKcgjZt2sRdd93Fb3/7W6ZPn87GjRspLi723V5UVERiYiKJiYkBv09ISCA2Npaqqiosy0LXdYqLi/2u1oiT3//93/9RVFTElVdeSXl5OTU1NSilOv15N46R5ORkTNOkqqqKmJiYntot0Unx8fFkZGQQGxsLwLnnnsvatWv9AjI5Hpz6vvjiC84++2zi4uIAN1VqxYoVcjw4TSUlJXXZOYGMid5tz549zJ8/n9mzZ3PllVcCdNs4kMuCxyEjI4MNGzZQUlJCbW0t69atY9KkST29WaILFRQUcOedd3L//fczffp0AMaMGUNeXh779u3DsizWrFnDpEmTSElJISgoiE2bNgGwatUqJk+ejGEYjBs3jg8//BCADz74gMmTJ/fYPonOe+qpp3jttddYsWIFN9xwA1OmTGHBggWd/ry///3vs2rVKsANEseNG+dLtxAnv3POOYcvvviCiooKLMsiMzOT8847T44Hp5lhw4aRlZVFTU0NjuPw6aefMn78eDkenKa68pxAxkTvVVVVxS233MK8efN8wRzQbeNAlZaWBs7riQ5bvXo1L774Il6vl1mzZnHVVVf19CaJLrR48WLee+89vzTLiy++mLS0NJ544gnq6+uZPHkyt912G0opduzYwaJFi6iurmb48OG+k/78/Hzuu+8+SkpKSE5O5oEHHiAqKqoH90wcq/fff5+vv/6aP/7xj53+vMvKyli4cCH79+8nMjKShQsX0rdv357eJdEJ7777Lq+88gqmaTJx4kRuv/12vvrqKzkenGZeeukl3n//fQzDYPTo0fzud78jLy9PjgenkVmzZrFkyRL69u1LVlZWlxwDZEz0Po3j4OOPP+bpp59m4MCBvtumTp3KDTfc0C3jQAI6IYQQQgghhOilJOVSCCGEEEIIIXopCeiEEEIIIYQQopeSgE4IIYQQQggheikJ6IQQQgghhBCil5KATgghhOhhrTWSFUIIITpCAjohhBCnjFmzZrFgwYJ277NgwQJmzZrV5a/99ddfk5GRQVZWVqcet3z5cv7yl790+fYIIYQ4PUi3QiGEEKeMRx55hPDw8B557REjRrB8+XIGDRrU4ceYpsmzzz7L9ddffwK3TAghxKlMAjohhBCnjBEjRvTYa0dERJCent5jry+EEOL0JI3FhRBCnJRmzZrFT37yE2pra/nggw+or69nypQp3H333bz11lu8/vrrVFVVMWHCBO655x5iYmKYNWsWY8eOZeHChQCUlZXx+OOPs379egAuuugi8vPz2bx5M++88w4A8+bNIykpiSFDhvDqq69SV1fHWWedxW233UZqaqpve7Zu3crSpUvJycnBNE3GjRvHzTffzNChQwE35fLGG2/kqaeeIiMjg2XLlrF69WruvPNOnnnmGXbv3k18fDyzZ8/myiuvBCAjI8NvnzubrimEEELIGjohhBAnrddee419+/bxwAMPcO2117JmzRquueYaPvvsM37/+99z8803s379epYsWRLwWNu2mT9/Pp9//jm33norCxYsIDs7m3Xr1gXc97PPPuPdd9/l9ttv5+6772bHjh3ceOON1NTUAPDVV1/xy1/+EtM0uffee7nnnnsoLCzk+uuvJzc3t83tLyoqYtGiRVx00UU8/vjjpKen86c//YnMzEwAnnvuOQBmzpzJ8uXLu+ItE0IIcZqRlEshhBAnrdDQUB5++GEMwyAjI4MPPviAgoICli9fTlRUFACZmZls2rQp4LGZmZnk5OSwePFipkyZAsCECRNaLYhSXV3NSy+9RL9+/QAYOHAg//7v/857773H7Nmzefrpp0lNTeXJJ59E13UAJk6cyEUXXcTSpUt55JFHWt3+2tpaHn74YSZPngzA2LFj+eSTT/jnP//J5MmTGTNmDABJSUmSrimEEOKYyAydEEKIk9aoUaMwjKZrj3FxcaSlpfmCOYDo6GgqKysDHpudnY2u675gCiAsLIxJkyYF3Dc9Pd0XzIG7Fi81NZWNGzdSU1NDTk4O06ZN8wVzAJGRkUyZMoWNGze2uw9nnHGG7/9BQUHExMT4Zv6EEEKI4yUBnRBCiJNWaxUrQ0NDO/TY8vJyIiMj/YIwgISEhID7JiUlBfwuNjaW8vJyKioqcByH+Pj4gPvEx8e3Gkw2FxIS4vezpmnSd04IIUSXkYBOCCHEKSkmJoby8nJM0/T7fWlpacB9y8rKAn535MgR4uLiiIyMRClFcXFxwH2KioqIjo7uuo0WQgghOkkCOiGEEKekCRMmYNs2H330ke93dXV1rVaS/Oabb/wCva1bt3Lw4EEmTpxIaGgoo0aNYu3atViW5btPZWUl69evZ+zYsce8jS1nD4UQQojOkqIoQgghTkkZGRlMnDiRhx56iLKyMlJSUnjttdcoKysjLi7O7761tbXMnz+f6667jurqap555hmGDh3KjBkzALjpppuYP38+t956K3PmzMHr9fLSSy9RV1fHr371q2PeRqUUERERfPPNN2zcuJHx48ejlDqu/RZCCHF6kRk6IYQQp6xHHnmE888/n2XLlnHvvfeSkpLCzJkzA+6Xnp7O1KlTuf/++1m8eDFnn302zzzzDB6PB3CDw6eeegrTNLnnnnt48MEHSUxM5M9//jPDhg07rm287rrr2Lp1K7/5zW8oKCg4rucSQghx+pHG4kIIIU5r8+bNw7IsX084IYQQojeRGTohhBBCCCGE6KUkoBNCCCGEEEKIXkpSLoUQQgghhBCil5IZOiGEEEIIIYTopSSgE0IIIYQQQoheSgI6IYQQQgghhOilJKATQgghhBBCiF5KAjohhBBCCCGE6KUkoBNCCCGEEEKIXur/AeNXMhLMmxnuAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 900x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "chart = sns.relplot(\n",
    "  x=\"midpoint\", \n",
    "  y=\"a2013\", \n",
    "  kind=\"line\",\n",
    "  color=my_line_color,\n",
    "  data=subset, \n",
    "  height=5,\n",
    "  aspect=10/4\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The graph is too jaggedy, so we'll smooth it by grouping individuals into large buckets!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "bigger_buckets = pd.DataFrame(columns=['x', 'y'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "N = 5\n",
    "tempX = subset.groupby(subset.index // N).median()\n",
    "tempY = subset.groupby(subset.index // N).sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "bigger_buckets['x'] = tempX['midpoint']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "bigger_buckets['y'] = tempY['a2013']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>50.0</td>\n",
       "      <td>0.615695</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>150.0</td>\n",
       "      <td>1.558012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>250.0</td>\n",
       "      <td>2.420931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>350.0</td>\n",
       "      <td>3.038067</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>450.0</td>\n",
       "      <td>3.512602</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       x         y\n",
       "0   50.0  0.615695\n",
       "1  150.0  1.558012\n",
       "2  250.0  2.420931\n",
       "3  350.0  3.038067\n",
       "4  450.0  3.512602"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bigger_buckets.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(-900, -1, ' Data Source: Hellebrandt, Tomas and Mauro, Paolo - The Future of Worldwide Income Distribution (2015)           Licenced under CC-BY-SA by Boris Yakubchik (2019) ')"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "chart = sns.relplot(\n",
    "  x=\"x\", \n",
    "  y=\"y\", \n",
    "  kind=\"line\", \n",
    "  data=bigger_buckets, \n",
    "  color=my_line_color,\n",
    "  height=5,\n",
    "  aspect=10/4\n",
    ")\n",
    "\n",
    "# empty character placed above the title to give title more space above\n",
    "chart.axes[0][0].text(\n",
    "  x = -8,\n",
    "  y = 5, \n",
    "  s = \" \")\n",
    "\n",
    "chart.axes[0][0].text(\n",
    "  x = -700, \n",
    "  y = 4.7, \n",
    "  s = \"Global Income Distribution 2013\",\n",
    "     fontsize = 26, weight = 'bold', alpha = .75)\n",
    "\n",
    "# chart.axes[0][0].text(\n",
    "#   x = -700, \n",
    "#   y = 6,\n",
    "#   s = 'Individual income vs percentile of world population',\n",
    "#   fontsize = 19, alpha = .85)\n",
    "\n",
    "chart.axes[0][0].text(\n",
    "  x = -700, \n",
    "  y = 4.3,\n",
    "  s = 'Measured in 2013 PPP (Purchasing Power Parity) in United States Dollar units',\n",
    "  fontsize = 17, alpha = .85)\n",
    "\n",
    "chart.axes[0][0].axhline(y = 0, color = 'black', linewidth = 1.3, alpha = .7)     # horizonal line on bottom\n",
    "\n",
    "# chart.axes[0][0].set_title(\"Global Income Distribution 2013\", fontsize=30)\n",
    "chart.axes[0][0].set_xlabel(\"Individual income per year\",fontsize=14)\n",
    "chart.axes[0][0].set_ylabel(\"Number of individuals\\nat a given income level\",fontsize=14)\n",
    "\n",
    "xticks = chart.axes[0][0].get_xticks()\n",
    "xlabels = ['$' + '{:,.0f}'.format(x) for x in xticks]\n",
    "chart.set_xticklabels(xlabels)\n",
    "\n",
    "chart.set_yticklabels([])\n",
    "\n",
    "chart.axes[0][0].set_ylim(-0.1, N * 0.78)\n",
    "chart.axes[0][0].set_xlim(-40, 11490)\n",
    "\n",
    "# SIGNATURE BAR\n",
    "chart.axes[0][0].text(\n",
    "    x = -900, \n",
    "    y = -1,\n",
    "    s = ' Data Source: Hellebrandt, Tomas and Mauro, Paolo - The Future of Worldwide Income Distribution (2015)           Licenced under CC-BY-SA by Boris Yakubchik (2019) ',\n",
    "    fontsize = 12, \n",
    "    color = '#f0f0f0', \n",
    "    backgroundcolor = 'grey')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.collections.PolyCollection at 0x120f02828>]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.stackplot(bigger_buckets[\"x\"], bigger_buckets[\"y\"], alpha=0.5) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Percentile graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>midpoint</th>\n",
       "      <th>gdpc</th>\n",
       "      <th>a2003</th>\n",
       "      <th>a2013</th>\n",
       "      <th>c2003</th>\n",
       "      <th>c2013</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10.0</td>\n",
       "      <td>20</td>\n",
       "      <td>0.193099</td>\n",
       "      <td>0.092346</td>\n",
       "      <td>0.193099</td>\n",
       "      <td>0.092346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>30.0</td>\n",
       "      <td>40</td>\n",
       "      <td>0.279632</td>\n",
       "      <td>0.092270</td>\n",
       "      <td>0.472732</td>\n",
       "      <td>0.184616</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>50.0</td>\n",
       "      <td>60</td>\n",
       "      <td>0.354766</td>\n",
       "      <td>0.106717</td>\n",
       "      <td>0.827497</td>\n",
       "      <td>0.291334</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>70.0</td>\n",
       "      <td>80</td>\n",
       "      <td>0.505162</td>\n",
       "      <td>0.143204</td>\n",
       "      <td>1.332659</td>\n",
       "      <td>0.434538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>90.0</td>\n",
       "      <td>100</td>\n",
       "      <td>0.647129</td>\n",
       "      <td>0.181157</td>\n",
       "      <td>1.979788</td>\n",
       "      <td>0.615695</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   midpoint gdpc     a2003     a2013     c2003     c2013\n",
       "0      10.0   20  0.193099  0.092346  0.193099  0.092346\n",
       "1      30.0   40  0.279632  0.092270  0.472732  0.184616\n",
       "2      50.0   60  0.354766  0.106717  0.827497  0.291334\n",
       "3      70.0   80  0.505162  0.143204  1.332659  0.434538\n",
       "4      90.0  100  0.647129  0.181157  1.979788  0.615695"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x120f0de48>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "chart = sns.relplot(\n",
    "  y=\"midpoint\", \n",
    "  x=\"c2013\", \n",
    "  kind=\"line\",\n",
    "  color=my_line_color,\n",
    "  data=subset, \n",
    "  height=5,\n",
    "  aspect=10/4\n",
    ")\n",
    "\n",
    "plt.title(\"Global Income Distribution 2013\", fontsize=30)\n",
    "plt.xlabel(\"Percentile\",fontsize=20)\n",
    "plt.ylabel(\"Income\",fontsize=20)\n",
    "\n",
    "ticks_x = chart.axes[0][0].get_xticks()\n",
    "xlabels = ['{:,.0f}'.format(x) + '%' for x in ticks_x]\n",
    "chart.set_xticklabels(xlabels)\n",
    "\n",
    "ticks_y = chart.axes[0][0].get_yticks()\n",
    "ylabels = ['$' + '{:,.0f}'.format(y) for y in ticks_y]\n",
    "chart.set_yticklabels(ylabels)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## All 100 percentiles"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### WARNING !!!\n",
    "\n",
    "Apparently if you don't restrict this, seaborn invents and plots values up to 1,000,000 - and it seems to divide all other y values by 10 in the process. No idea why.\n",
    "\n",
    "### BELOW GRAPH IS WRONG !!!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x120f2ed68>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "chart = sns.relplot(\n",
    "  x=\"c2013\", \n",
    "  y=\"midpoint\",\n",
    "  kind=\"line\", \n",
    "  color=my_line_color,\n",
    "  data=df,          # <----- NOTE THIS RESULTS IN AN INCORRECT GRAPH!!!\n",
    "  height=5,\n",
    "  aspect=1\n",
    ")\n",
    "chart.set(\n",
    "  xlabel='WRONG', \n",
    "  ylabel='WRONG',\n",
    "  title='WRONG',\n",
    ")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### SO WE NEED TO MANUALLY DO THIS:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_data = df.loc[df['midpoint'] < 100000]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we are ready to graph everything!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1238aac18>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "chart = sns.relplot(\n",
    "  x=\"c2013\", \n",
    "  y=\"midpoint\",\n",
    "  kind=\"line\", \n",
    "  color=my_line_color,\n",
    "  data=all_data, \n",
    "  height=5,\n",
    "  aspect=10/4\n",
    ")\n",
    "\n",
    "plt.title(\"Global Income Distribution 2013\", fontsize=30)\n",
    "plt.xlabel(\"Percentile\",fontsize=20)\n",
    "plt.ylabel(\"Income\",fontsize=20)\n",
    "\n",
    "ticks_x = chart.axes[0][0].get_xticks()\n",
    "xlabels = ['{:,.0f}'.format(x) + '%' for x in ticks_x]\n",
    "chart.set_xticklabels(xlabels)\n",
    "\n",
    "ticks_y = chart.axes[0][0].get_yticks()\n",
    "ylabels = ['$' + '{:,.0f}'.format(y) for y in ticks_y]\n",
    "chart.set_yticklabels(ylabels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x123ace518>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "chart = sns.relplot(\n",
    "  x=\"c2013\", \n",
    "  y=\"midpoint\",\n",
    "  kind=\"line\", \n",
    "  color=my_line_color,\n",
    "  data=all_data, \n",
    "  height=5,\n",
    "  aspect=10/4\n",
    ")\n",
    "\n",
    "chart.axes[0][0].yaxis.set_major_locator(ticker.MultipleLocator(10000))\n",
    "chart.axes[0][0].yaxis.set_major_formatter(ticker.ScalarFormatter())\n",
    "\n",
    "chart.axes[0][0].xaxis.set_major_locator(ticker.MultipleLocator(5))\n",
    "chart.axes[0][0].xaxis.set_major_formatter(ticker.ScalarFormatter())\n",
    "\n",
    "plt.title(\"Global Income Distribution 2013\", fontsize=30)\n",
    "plt.xlabel(\"Percentile\",fontsize=20)\n",
    "plt.ylabel(\"Income\",fontsize=20)\n",
    "\n",
    "ticks_x = chart.axes[0][0].get_xticks()\n",
    "xlabels = ['{:,.0f}'.format(x) + '%' for x in ticks_x]\n",
    "chart.set_xticklabels(xlabels)\n",
    "\n",
    "ticks_y = chart.axes[0][0].get_yticks()\n",
    "ylabels = ['$' + '{:,.0f}'.format(y) for y in ticks_y]\n",
    "chart.set_yticklabels(ylabels)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Get percentile based on income"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_percentile(income):\n",
    "  for j in range(len(df)):\n",
    "    if df['midpoint'].iloc[j] > income:\n",
    "      return(df.iloc[j]['c2013'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "90.0793196448814"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_percentile(14350)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "99.0006098631651"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_percentile(44000)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Find the location to confirm correct output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "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>midpoint</th>\n",
       "      <th>gdpc</th>\n",
       "      <th>a2003</th>\n",
       "      <th>a2013</th>\n",
       "      <th>c2003</th>\n",
       "      <th>c2013</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>700</th>\n",
       "      <td>14050.0</td>\n",
       "      <td>14100</td>\n",
       "      <td>0.074961</td>\n",
       "      <td>0.110552</td>\n",
       "      <td>94.112095</td>\n",
       "      <td>89.650085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>701</th>\n",
       "      <td>14150.0</td>\n",
       "      <td>14200</td>\n",
       "      <td>0.070657</td>\n",
       "      <td>0.099715</td>\n",
       "      <td>94.182753</td>\n",
       "      <td>89.749800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>702</th>\n",
       "      <td>14250.0</td>\n",
       "      <td>14300</td>\n",
       "      <td>0.068242</td>\n",
       "      <td>0.100089</td>\n",
       "      <td>94.250995</td>\n",
       "      <td>89.849889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>703</th>\n",
       "      <td>14350.0</td>\n",
       "      <td>14400</td>\n",
       "      <td>0.066581</td>\n",
       "      <td>0.103577</td>\n",
       "      <td>94.317575</td>\n",
       "      <td>89.953466</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>704</th>\n",
       "      <td>14450.0</td>\n",
       "      <td>14500</td>\n",
       "      <td>0.066530</td>\n",
       "      <td>0.125854</td>\n",
       "      <td>94.384106</td>\n",
       "      <td>90.079320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>705</th>\n",
       "      <td>14550.0</td>\n",
       "      <td>14600</td>\n",
       "      <td>0.070123</td>\n",
       "      <td>0.085146</td>\n",
       "      <td>94.454229</td>\n",
       "      <td>90.164465</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>706</th>\n",
       "      <td>14650.0</td>\n",
       "      <td>14700</td>\n",
       "      <td>0.062350</td>\n",
       "      <td>0.099690</td>\n",
       "      <td>94.516579</td>\n",
       "      <td>90.264155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>707</th>\n",
       "      <td>14750.0</td>\n",
       "      <td>14800</td>\n",
       "      <td>0.062717</td>\n",
       "      <td>0.099587</td>\n",
       "      <td>94.579296</td>\n",
       "      <td>90.363742</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>708</th>\n",
       "      <td>14850.0</td>\n",
       "      <td>14900</td>\n",
       "      <td>0.059377</td>\n",
       "      <td>0.085395</td>\n",
       "      <td>94.638673</td>\n",
       "      <td>90.449137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>709</th>\n",
       "      <td>14950.0</td>\n",
       "      <td>15000</td>\n",
       "      <td>0.062302</td>\n",
       "      <td>0.100137</td>\n",
       "      <td>94.700975</td>\n",
       "      <td>90.549274</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     midpoint   gdpc     a2003     a2013      c2003      c2013\n",
       "700   14050.0  14100  0.074961  0.110552  94.112095  89.650085\n",
       "701   14150.0  14200  0.070657  0.099715  94.182753  89.749800\n",
       "702   14250.0  14300  0.068242  0.100089  94.250995  89.849889\n",
       "703   14350.0  14400  0.066581  0.103577  94.317575  89.953466\n",
       "704   14450.0  14500  0.066530  0.125854  94.384106  90.079320\n",
       "705   14550.0  14600  0.070123  0.085146  94.454229  90.164465\n",
       "706   14650.0  14700  0.062350  0.099690  94.516579  90.264155\n",
       "707   14750.0  14800  0.062717  0.099587  94.579296  90.363742\n",
       "708   14850.0  14900  0.059377  0.085395  94.638673  90.449137\n",
       "709   14950.0  15000  0.062302  0.100137  94.700975  90.549274"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[700:710]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Add extra number at the end for the top-right of the graph to extend higher"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "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>midpoint</th>\n",
       "      <th>gdpc</th>\n",
       "      <th>a2003</th>\n",
       "      <th>a2013</th>\n",
       "      <th>c2003</th>\n",
       "      <th>c2013</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1287</th>\n",
       "      <td>97500.0</td>\n",
       "      <td>98000</td>\n",
       "      <td>0.001069</td>\n",
       "      <td>0.002731</td>\n",
       "      <td>99.965336</td>\n",
       "      <td>99.890181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1288</th>\n",
       "      <td>98500.0</td>\n",
       "      <td>99000</td>\n",
       "      <td>0.000987</td>\n",
       "      <td>0.002654</td>\n",
       "      <td>99.966322</td>\n",
       "      <td>99.892834</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1289</th>\n",
       "      <td>99500.0</td>\n",
       "      <td>100000</td>\n",
       "      <td>0.001121</td>\n",
       "      <td>0.003759</td>\n",
       "      <td>99.967444</td>\n",
       "      <td>99.896593</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      midpoint    gdpc     a2003     a2013      c2003      c2013\n",
       "1287   97500.0   98000  0.001069  0.002731  99.965336  99.890181\n",
       "1288   98500.0   99000  0.000987  0.002654  99.966322  99.892834\n",
       "1289   99500.0  100000  0.001121  0.003759  99.967444  99.896593"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data.tail(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "last_row = {\"midpoint\": 105000, \"c2013\": 99.9}\n",
    "\n",
    "all_data = all_data.append(last_row, ignore_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "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>midpoint</th>\n",
       "      <th>gdpc</th>\n",
       "      <th>a2003</th>\n",
       "      <th>a2013</th>\n",
       "      <th>c2003</th>\n",
       "      <th>c2013</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1288</th>\n",
       "      <td>98500.0</td>\n",
       "      <td>99000</td>\n",
       "      <td>0.000987</td>\n",
       "      <td>0.002654</td>\n",
       "      <td>99.966322</td>\n",
       "      <td>99.892834</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1289</th>\n",
       "      <td>99500.0</td>\n",
       "      <td>100000</td>\n",
       "      <td>0.001121</td>\n",
       "      <td>0.003759</td>\n",
       "      <td>99.967444</td>\n",
       "      <td>99.896593</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1290</th>\n",
       "      <td>105000.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>99.900000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      midpoint    gdpc     a2003     a2013      c2003      c2013\n",
       "1288   98500.0   99000  0.000987  0.002654  99.966322  99.892834\n",
       "1289   99500.0  100000  0.001121  0.003759  99.967444  99.896593\n",
       "1290  105000.0     NaN       NaN       NaN        NaN  99.900000"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data.tail(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Get world percentile for poverty threshold in the US: "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2013 individual income poverty threshold: `$11,490`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "86.64021063473221"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_percentile(11490)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x124211e48>]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1024x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "chart = sns.relplot(\n",
    "  x=\"c2013\", \n",
    "  y=\"midpoint\",\n",
    "  kind=\"line\", \n",
    "  data=all_data, \n",
    "  color=my_line_color,\n",
    "  height=8,\n",
    "  aspect=16/9\n",
    ")\n",
    "\n",
    "chart.axes[0][0].yaxis.set_major_locator(ticker.MultipleLocator(10000))\n",
    "chart.axes[0][0].yaxis.set_major_formatter(ticker.ScalarFormatter())\n",
    "\n",
    "chart.axes[0][0].xaxis.set_major_locator(ticker.MultipleLocator(5))\n",
    "chart.axes[0][0].xaxis.set_major_formatter(ticker.ScalarFormatter())\n",
    "\n",
    "chart.axes[0][0].set_title(\"\", fontsize=30)\n",
    "chart.axes[0][0].set_xlabel(\"\",fontsize=16)\n",
    "chart.axes[0][0].set_ylabel(\"\",fontsize=16)\n",
    "\n",
    "# empty character placed above the title to give title more space above\n",
    "chart.axes[0][0].text(\n",
    "  x = -8, \n",
    "  y = 125000, \n",
    "  s = \" \")\n",
    "\n",
    "chart.axes[0][0].text(\n",
    "  x = -8, \n",
    "  y = 120000, \n",
    "  s = \"Global Income Distribution 2013\",\n",
    "     fontsize = 26, weight = 'bold', alpha = .75)\n",
    "\n",
    "chart.axes[0][0].text(\n",
    "  x = -8, \n",
    "  y = 113500,\n",
    "  s = 'Individual income vs percentile of world population',\n",
    "  fontsize = 19, alpha = .85)\n",
    "\n",
    "chart.axes[0][0].text(\n",
    "  x = -8, \n",
    "  y = 108000,\n",
    "  s = 'Measured in 2013 PPP (Purchasing Power Parity) in United States Dollar units',\n",
    "  fontsize = 17, alpha = .85)\n",
    "\n",
    "ticks_x = chart.axes[0][0].get_xticks()\n",
    "xlabels = ['{:,.0f}'.format(x) + '%' for x in ticks_x]\n",
    "chart.set_xticklabels(xlabels)\n",
    "\n",
    "ticks_y = chart.axes[0][0].get_yticks()\n",
    "ylabels = ['$' + '{:,.0f}'.format(y) for y in ticks_y]\n",
    "chart.set_yticklabels(ylabels)\n",
    "\n",
    "chart.axes[0][0].axhline(y = 0,     color = 'black', linewidth = 1.3, alpha = .7)     # horizonal line on bottom\n",
    "\n",
    "chart.axes[0][0].axvline(x = 0,     color = 'black', linewidth = 1.3, alpha = .7)   # vertical line on left\n",
    "chart.axes[0][0].axvline(x = 100,   color = 'black', linewidth = 1.3, alpha = .7)   # vertical line on right\n",
    "\n",
    "# poverty threshold 2013 - horizontal\n",
    "chart.axes[0][0].axhline(y = 11490, linestyle='dashed', color='#fc4f30', linewidth = 2, alpha = .3) \n",
    "# poverty threshold 2013 - vertical\n",
    "chart.axes[0][0].axvline(x = 86.64, linestyle='dashed', color='#fc4f30', linewidth = 2, alpha = .3) \n",
    "\n",
    "chart.axes[0][0].text(\n",
    "  x = 57.6, \n",
    "  y = 13600, \n",
    "  s = \"2013 Individual US Poverty Line - $11,490\",\n",
    "  color = '#fc4f30',\n",
    "  fontsize = 14, \n",
    "#   weight = 'bold', \n",
    "  alpha = .75)\n",
    "\n",
    "\n",
    "chart.axes[0][0].tick_params(labelsize=14)\n",
    "\n",
    "chart.axes[0][0].set_ylim(-400,104000)\n",
    "chart.axes[0][0].set_xlim(-0.3, 100.1)\n",
    "\n",
    "# SIGNATURE BAR\n",
    "chart.axes[0][0].text(\n",
    "    x = -10, \n",
    "    y = -12000,\n",
    "    s = ' Data Source: Hellebrandt, Tomas and Mauro, Paolo - The Future of Worldwide Income Distribution (2015)                                                        Licenced under CC-BY-SA by Boris Yakubchik (2019) ',\n",
    "    fontsize = 12, \n",
    "    color = '#f0f0f0', \n",
    "    backgroundcolor = 'grey')\n",
    "\n",
    "chart.axes[0][0].tick_params(axis='x', which='major', pad=15)\n",
    "chart.axes[0][0].tick_params(axis='y', which='major', pad=15)\n",
    "\n",
    "chart.axes[0][0].plot(86.64, 11490, 'o', color='#fc4f30', alpha=0.75) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Below US Poverty\n",
    "\n",
    "Let us examine what happens below the 2013 Indivisual US poverty line"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "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>midpoint</th>\n",
       "      <th>gdpc</th>\n",
       "      <th>a2003</th>\n",
       "      <th>a2013</th>\n",
       "      <th>c2003</th>\n",
       "      <th>c2013</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>574</th>\n",
       "      <td>11490.0</td>\n",
       "      <td>11500</td>\n",
       "      <td>0.023025</td>\n",
       "      <td>0.032066</td>\n",
       "      <td>91.932</td>\n",
       "      <td>86.608092</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     midpoint   gdpc     a2003     a2013   c2003      c2013\n",
       "574   11490.0  11500  0.023025  0.032066  91.932  86.608092"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[df['midpoint'] == 11490]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "86.64021063473221"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_percentile(11490)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "below_us_poverty = df.loc[df['midpoint'] <= 11490]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "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>midpoint</th>\n",
       "      <th>gdpc</th>\n",
       "      <th>a2003</th>\n",
       "      <th>a2013</th>\n",
       "      <th>c2003</th>\n",
       "      <th>c2013</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>570</th>\n",
       "      <td>11410.0</td>\n",
       "      <td>11420</td>\n",
       "      <td>0.020634</td>\n",
       "      <td>0.027809</td>\n",
       "      <td>91.847731</td>\n",
       "      <td>86.490842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>571</th>\n",
       "      <td>11430.0</td>\n",
       "      <td>11440</td>\n",
       "      <td>0.021899</td>\n",
       "      <td>0.034287</td>\n",
       "      <td>91.869629</td>\n",
       "      <td>86.525128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>572</th>\n",
       "      <td>11450.0</td>\n",
       "      <td>11460</td>\n",
       "      <td>0.017632</td>\n",
       "      <td>0.025032</td>\n",
       "      <td>91.887261</td>\n",
       "      <td>86.550161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>573</th>\n",
       "      <td>11470.0</td>\n",
       "      <td>11480</td>\n",
       "      <td>0.021714</td>\n",
       "      <td>0.025866</td>\n",
       "      <td>91.908975</td>\n",
       "      <td>86.576026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>574</th>\n",
       "      <td>11490.0</td>\n",
       "      <td>11500</td>\n",
       "      <td>0.023025</td>\n",
       "      <td>0.032066</td>\n",
       "      <td>91.932000</td>\n",
       "      <td>86.608092</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     midpoint   gdpc     a2003     a2013      c2003      c2013\n",
       "570   11410.0  11420  0.020634  0.027809  91.847731  86.490842\n",
       "571   11430.0  11440  0.021899  0.034287  91.869629  86.525128\n",
       "572   11450.0  11460  0.017632  0.025032  91.887261  86.550161\n",
       "573   11470.0  11480  0.021714  0.025866  91.908975  86.576026\n",
       "574   11490.0  11500  0.023025  0.032066  91.932000  86.608092"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "below_us_poverty.tail(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "29.1832129048416"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_percentile(1000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x124808748>]"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1024x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "chart = sns.relplot(\n",
    "  x=\"c2013\", \n",
    "  y=\"midpoint\",\n",
    "  kind=\"line\", \n",
    "  data=below_us_poverty, \n",
    "  color=my_line_color,\n",
    "  height=8,\n",
    "  aspect=16/9\n",
    ")\n",
    "\n",
    "chart.axes[0][0].yaxis.set_major_locator(ticker.MultipleLocator(1000))\n",
    "chart.axes[0][0].yaxis.set_major_formatter(ticker.ScalarFormatter())\n",
    "\n",
    "chart.axes[0][0].xaxis.set_major_locator(ticker.MultipleLocator(5))\n",
    "chart.axes[0][0].xaxis.set_major_formatter(ticker.ScalarFormatter())\n",
    "\n",
    "chart.axes[0][0].set_title(\"\", fontsize=30)\n",
    "chart.axes[0][0].set_xlabel(\"\",fontsize=16)\n",
    "chart.axes[0][0].set_ylabel(\"\",fontsize=16)\n",
    "\n",
    "# empty character placed above the title to give title more space above\n",
    "chart.axes[0][0].text(\n",
    "  x = -1, \n",
    "  y = 14000, \n",
    "  s = \" \")\n",
    "\n",
    "chart.axes[0][0].text(\n",
    "  x = -6.6, \n",
    "  y = 13500, \n",
    "  s = \"Global Income Distribution 2013\",\n",
    "     fontsize = 26, weight = 'bold', alpha = .75)\n",
    "\n",
    "chart.axes[0][0].text(\n",
    "  x = -6.6, \n",
    "  y = 12700,\n",
    "  s = 'Individual income vs percentile of world population',\n",
    "  fontsize = 19, alpha = .85)\n",
    "\n",
    "chart.axes[0][0].text(\n",
    "  x = -6.6, \n",
    "  y = 12000,\n",
    "  s = 'Measured in 2013 PPP (Purchasing Power Parity) in United States Dollar units',\n",
    "  fontsize = 17, alpha = .85)\n",
    "\n",
    "ticks_x = chart.axes[0][0].get_xticks()\n",
    "xlabels = ['{:,.0f}'.format(x) + '%' for x in ticks_x]\n",
    "chart.set_xticklabels(xlabels)\n",
    "\n",
    "ticks_y = chart.axes[0][0].get_yticks()\n",
    "ylabels = ['$' + '{:,.0f}'.format(y) for y in ticks_y]\n",
    "chart.set_yticklabels(ylabels)\n",
    "\n",
    "chart.axes[0][0].axhline(y = 0,     color = 'black', linewidth = 1.3, alpha = .7)     # horizonal line on bottom\n",
    "\n",
    "chart.axes[0][0].axvline(x = 0,     color = 'black', linewidth = 1.3, alpha = .7)   # vertical line on left\n",
    "chart.axes[0][0].axvline(x = 86.64, linestyle='dashed', color='#fc4f30', linewidth = 2, alpha = .3)   # vertical line \n",
    "\n",
    "# ======================== DASHED LINES\n",
    "\n",
    "# US poverty\n",
    "chart.axes[0][0].axhline(y = 11480, linestyle='dashed', color='#fc4f30', linewidth = 2, alpha = .3) \n",
    "\n",
    "# poverty threshold MEDIAN - horizontal\n",
    "chart.axes[0][0].hlines(y = 2010, linestyle='dashed', color='#fc4f30', linewidth = 2, alpha = .3, xmin = 0, xmax = 50) \n",
    "chart.axes[0][0].vlines(x = 50, linestyle='dashed', color='#fc4f30', linewidth = 2, alpha = .3, ymin=0, ymax=2010) \n",
    "\n",
    "# poverty threshold $1,000\n",
    "chart.axes[0][0].hlines(y = 1000, linestyle='dashed', color='#fc4f30', linewidth = 2, alpha = .3, xmin = 0, xmax = 29) \n",
    "chart.axes[0][0].vlines(x = 29, linestyle='dashed', color='#fc4f30', linewidth = 2, alpha = .3, ymin=0, ymax=1000) \n",
    "\n",
    "# 75%\n",
    "chart.axes[0][0].hlines(y = 6000, linestyle='dashed', color='#fc4f30', linewidth = 2, alpha = .3, xmin = 0, xmax = 75) \n",
    "chart.axes[0][0].vlines(x = 75, linestyle='dashed', color='#fc4f30', linewidth = 2, alpha = .3, ymin=0, ymax=6000) \n",
    "\n",
    "# ========================== TEXT\n",
    "\n",
    "chart.axes[0][0].text(\n",
    "  x = 49.1, \n",
    "  y = 2300, \n",
    "  s = \"2013 World Median Income $2,010\",\n",
    "  color = '#fc4f30',\n",
    "  horizontalalignment = 'right',\n",
    "  fontsize = 14, \n",
    "  alpha = .75)\n",
    "\n",
    "chart.axes[0][0].text(\n",
    "  x = 85.25,\n",
    "  y = 11100,\n",
    "  horizontalalignment = 'right',\n",
    "  s = \"2013 US Individual Poverty Line $11,490\",\n",
    "  color = '#fc4f30',\n",
    "  fontsize = 14, \n",
    "  alpha = .75)\n",
    "\n",
    "chart.axes[0][0].annotate(\n",
    "  '29% have income below $1000', (29, 1200), \n",
    "  fontsize=14, color='#fc4f30', alpha=0.75, horizontalalignment = 'right')\n",
    "\n",
    "chart.axes[0][0].text(\n",
    "  x = 74.25,\n",
    "  y = 6200,\n",
    "  horizontalalignment = 'right',\n",
    "  s = \"75% have income below $6,000\",\n",
    "  color = '#fc4f30',\n",
    "  fontsize = 14, \n",
    "  alpha = .75)\n",
    "\n",
    "# ===================================== AXES LIMITS\n",
    "\n",
    "chart.axes[0][0].tick_params(labelsize=14)\n",
    "\n",
    "chart.axes[0][0].set_ylim(-50, 11490)\n",
    "chart.axes[0][0].set_xlim(-0.3, 86.7)\n",
    "\n",
    "# SIGNATURE BAR\n",
    "chart.axes[0][0].text(\n",
    "    x = -7.6, \n",
    "    y = -1600,\n",
    "    s = '  Data Source: Hellebrandt, Tomas and Mauro, Paolo - The Future of Worldwide Income Distribution (2015)                                                    Licenced under CC-BY-SA by Boris Yakubchik (2019)  ',\n",
    "    fontsize = 12, \n",
    "    color = '#f0f0f0', \n",
    "    backgroundcolor = 'grey')\n",
    "\n",
    "chart.axes[0][0].tick_params(axis='x', which='major', pad=15)\n",
    "chart.axes[0][0].tick_params(axis='y', which='major', pad=15)\n",
    "\n",
    "# =============================== POINTS PLOTTED\n",
    "\n",
    "chart.axes[0][0].plot(50,2010, 'o', color='#fc4f30', alpha=0.75) \n",
    "chart.axes[0][0].plot(86.5,11480, 'o', color='#fc4f30', alpha=0.75) \n",
    "chart.axes[0][0].plot(29,1000, 'o', color='#fc4f30', alpha=0.75) \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    0.092346\n",
       "1    0.184616\n",
       "2    0.291334\n",
       "Name: c2013, dtype: float64"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_data['c2013'].head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_ppp_from_percentile(percentile):\n",
    "  return all_data[all_data['c2013'] > percentile]['midpoint'].iloc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2010.0"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_ppp_from_percentile(50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5950.0"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_ppp_from_percentile(75)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "custom_ticks = [n * 5 for n in range(1, 20)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[310.0, 470.0, 610.0, 730.0, 890.0, 1050.0, 1230.0, 1430.0, 1690.0, 2010.0, 2410.0, 2950.0, 3650.0, 4630.0, 5950.0, 7790.0, 10410.0, 14450.0, 21950.0]\n"
     ]
    }
   ],
   "source": [
    "final_values = []\n",
    "for p in custom_ticks:\n",
    "  final_values.append(get_ppp_from_percentile(p))\n",
    "\n",
    "print(final_values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80, 85, 90, 95]"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "custom_ticks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[310.0,\n",
       " 470.0,\n",
       " 610.0,\n",
       " 730.0,\n",
       " 890.0,\n",
       " 1050.0,\n",
       " 1230.0,\n",
       " 1430.0,\n",
       " 1690.0,\n",
       " 2010.0,\n",
       " 2410.0,\n",
       " 2950.0,\n",
       " 3650.0,\n",
       " 4630.0,\n",
       " 5950.0,\n",
       " 7790.0,\n",
       " 10410.0,\n",
       " 14450.0,\n",
       " 21950.0]"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_values"
   ]
  }
 ],
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