change-over-time.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Change-over-Time\n",
    "Give emphasis to changing trends. These can be short (intra-day) movements or extended series traversing decades or centuries: Choosing the correct time period is important to provide suitable context for the reader."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "#ggplot equivalent: plotnine\n",
    "from plotnine import *\n",
    "#scales package equivalent: mizani\n",
    "from mizani.breaks import *\n",
    "from mizani.formatters import *\n",
    "import utils"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Line\n",
    "The standard way to show a changing time series. If data are irregular, consider markers to represent data points"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Order Date</th>\n",
       "      <th>Sales</th>\n",
       "      <th>Profit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2015 Mar</td>\n",
       "      <td>148895.5920</td>\n",
       "      <td>7622.4580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2015 Jun</td>\n",
       "      <td>173077.5192</td>\n",
       "      <td>22408.1384</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2015 Sep</td>\n",
       "      <td>287266.4246</td>\n",
       "      <td>25609.4436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2015 Dec</td>\n",
       "      <td>359255.4604</td>\n",
       "      <td>43447.9082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2016 Mar</td>\n",
       "      <td>137703.4772</td>\n",
       "      <td>18529.8832</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Order Date        Sales      Profit\n",
       "0   2015 Mar  148895.5920   7622.4580\n",
       "1   2015 Jun  173077.5192  22408.1384\n",
       "2   2015 Sep  287266.4246  25609.4436\n",
       "3   2015 Dec  359255.4604  43447.9082\n",
       "4   2016 Mar  137703.4772  18529.8832"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('data/column-line-timeline.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (-9223363305517434154)>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g = (ggplot(df,aes(x='Order Date',y='Sales',group=1)) +\n",
    "     geom_line(color='green') + theme_minimal() + \n",
    "     geom_point(df[df.index==df.index.max()],\n",
    "               aes(x='Order Date', y='Sales'),color='green') +\n",
    "     geom_text(df[df.index==df.index.max()],\n",
    "               aes(x='Order Date', y='Sales',\n",
    "                  label='Sales'), nudge_y=30000) + #nudge it a bit to the right\n",
    "     #formatting date x-axis\n",
    "     scale_x_date(breaks=date_breaks('1 year'), labels=date_format('%Y')) +\n",
    "     scale_y_continuous(limits=(0,600000),\n",
    "                        breaks=range(0,600000,50000),\n",
    "                        labels=utils.k_format()) +\n",
    "     ylab('Sales') + xlab('Order Date') \n",
    "    )\n",
    "g"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Column\n",
    "Columns work well for showing change over time - but usually best with only one series of data at a time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('data/column-line-timeline.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAlcAAAHHCAYAAACStX1aAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD+naQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvOIA7rQAAIABJREFUeJzs3X2cXHdd9//Xye40yHaSXcFLEqpwFZAKaVNbRaCa8hMQKlxfarkRLUoVEIugRdCLFjBFkHLBZcWWAi1FKhdRRCj2g9xIQdtwo6jFhhYoINBCmSCB7oZpgHR2e35/nBkyXXaze3bPZM7svp6PRx67c+72PSefbj/5njPnm+V5jiRJkqqxYdgBJEmS1hKbK0mSpArZXEmSJFXI5kqSJKlCNleSJEkVsrmSJEmqkM2VJElShWyuJEmSKmRzJUmSVCGbK0mSpArZXEmSJFXI5kqSJKlCNleSJEkVsrmSJEmqkM2VJElShWyuJEmSKmRzJUmSVCGbK0mSpArZXEmSJFXI5kqSJKlCNleSJEkVsrkaolartbHVap3farU2DjvLKOh0Ols6nc75nU5ny7CzjALrqxzra/msrXKsrXLWQn3ZXA3XRmBn96uWtoXifPkLanmsr3Ksr+WztsqxtsoZ+fqyuZIkSaqQzZUkSVKFbK4kSZIqZHMlSZJUIZsrSZKkCtlcSZIkVcjmSpIkqUI2V5IkSRWyuZIkSaqQzZUkSVKFbK4kSZIqZHMlSZJUIZsrSZKkCtlcSZIkVcjmSpIkqUI2V5IkSRWyuZIkSaqQzZUkSVKFbK4kSZIqZHMlSZJUIZsrSZKkCtlcSZIkVcjmSpIkqUI2V5IkSRWyuZIkSaqQzZUkSVKFbK4kSZIqND7sAGtBp9PZAmwpu9/U1NREu92m2Wxu73Q6BwYQba05rve10+kMNcgosL5Ks76Wydoqzdoq4UjWV6PR+OQgjpvleT6I464rnU7nfGDnsHNIkqTlazQa2SCOa3NVgZWOXM3Ozk602+3dzWZzx/j4uP/6W9pxwC7gTOCmIWepPeurNOtrmayt0qytEo5kfQ1q5MrLghVoNBp7gb1l99u3b98mgOnp6T1bt279duXB1pi+4fSbBvUfxFpifZVjfS2ftVWOtVXOWqgvb2iXJEmqkM2VJElShWyuJEmSKmRzJUmSVCGbK0mSpAqt6eYqpXR+Suntw84hSZLWj6E/iiGldAXwa8AdfYsfFBFf6a6/BngoMNtbGRFH9+2/DbgcOAH4EnB2RHxk4MElSZIWMPTmquvCiHjRYdafExFvnL8wpdQAArgUOBV4MnBVSul+ETE9mKiSJEmLq0tztVKPAO4OvCYi7gTellJ6PnAG8Ob+DVNKG4DXAw8EUkS0j3BWSZK0DtSlufrtlNJvA18F/iIi/nLe+penlP4U+CLw8oh4T3f5NuCGbmPVc313+fellI6imHqgAZwWEd8bxJuQJEmqQ3N1EfBCYBr4eeCdKaX9EfGu7vr/DXwW+B7weODtKaX/LyL+DTga2D/veDPA5r7XRwPvBb4GPCMi5qp+A61WayOwcQW7NntfW61WhYnWpsnJyYmxsTHm5uYmetMj6LCsrxKsr1KsrRKsrdKOWH0NanqdoTdXEdE/z9I1KaVLKO6deld3/Sf61l+ZUnoCxWW/fwNuB+YX6mag/5LfQ4AJ4PhBNFZd5wI7V7H/rVUFWctmZmZ63+4eZo4RZH0tg/W1ItbWMlhbK3Yk6isbxEGH3lwt4E4O/2b7198I/FFKaUPfpcETgTf0bf9PwL8A/5RSekRE3FxxXoALgAtXsF+ToniO4a4NoRYwOTm5fWxsbPfc3NyOmZmZPcPOMwKsrxKsr1KsrRKsrdJGvr6G3lyllJ4CvB84ADwceC7wvO66SeBhwDUUj2p4HPAU4Be7u19DcbnwBSmli4AnAscC7+7/GRHxF90b2v+522DdUuV72Lp160HgYNn9+oY726M68/eR1Ol0DgBs2LDhgOdradZXOdbX8llb5Vhb5ayF+qrDQ0SfS3Ej+36KRyq8NCJ6D/5sAC8DvgHcRnHp7Tci4mMAEdEBEvAkinutXgycHhG3zf8hEfHnwOsoGqwfH+g7kiRJ61aW5/mwM6xbrVZrE0VTuXlUu/MjqdPpnARcB5zcaDQ+udT26531VY71tXzWVjnWVjlrob7qMHIlSZK0ZthcSZIkVcjmSpIkqUI2V5IkSRWyuZIkSaqQzZUkSVKFbK4kSZIqZHMlSZJUoaFPf7MWdDqdLcCWsvtNTU1NtNttms3m9t70CDqs43pfO53OUIOMAuurNOtrmayt0qytEo5kfQ3qoa4+ob0CnU7nfIqpeSRJ0ohoNBrZII5rc1WBlY5czc7OTrTb7d3NZnPH+Pi4//pb2nHALuBM4KYhZ6k966s062uZrK3SrK0SjmR9DWrkysuCFWg0GnuBvWX327dv3yaA6enpPaM6f9KR1DecfpPzcy3N+irH+lo+a6sca6uctVBf3tAuSZJUIZsrSZKkCtlcSZIkVcjmSpIkqUI2V5IkSRVa081VSumalNLvDDuHJElaP4b+KIaU0hXArwF39C1+UER8pbv+x4A3A6cAXwf+MCKu7Nv/ScCrgR8FPgb8ZkR87ciklyRJuquhN1ddF0bEixZZ9zfAfwJPAH4OuDKldGNEfD6ldBzwFuCXKRqr/wv8NXDqEcgsSZL0A+rSXC0opfQA4CHA4yPiu8DVKaUPAr8OvLT79f0R8aHu9i8F/juldL+I+OK8Y/0w8D7goxSjXz6aXpIkVa4u91z9dkrptpTSnpTSb/Ut3wbcEhEzfcuu7y7vrd/TWxERtwFf6VsPQErpGOAjxSbxQhsrSZI0KHUYuboIeCEwDfw88M6U0v6IeBdwNLB/3vYzQLP7/VLrAR4I/BHwqoi4rOLsALRarY3AxhXs2svZbLVaFSZamyYnJyfGxsaYm5ub6E2PoMOyvkqwvkqxtkqwtko7YvU1qOl1ht5cRUT/PEvXpJQuAZ4MvAu4HZhfiJuBdvf7pdZDcbN8C3hrVZkXcC6wcxX731pVkLVsZub7A5i7h5ljBFlfy2B9rYi1tQzW1oodifrKBnHQoTdXC7iTQ2/2RuC+KaXNEdEboTqxu7y3fntvx5TSFPDjfesBXg7sAP4+pXR6RHxvAJkvAC5cwX5NiuI5hrs2hFrA5OTk9rGxsd1zc3M7ZmZm9iy9x7pnfZVgfZVibZVgbZU28vU19OYqpfQU4P3AAeDhwHOB5wFExBdSSv8O/ElK6UXd9Y8Bzuvu/jbgEymlXwD+BfgT4F/m3cw+SzF69Xbg3d0G62CV72Hr1q0HgdLH7BvubI/qzN9HUqfTOQCwYcOGA56vpVlf5Vhfy2dtlWNtlbMW6qsON7Q/F/gqxb1TlwIvjYi3961/KvAg4FvAm4CzIuLzABHxWeAZwOXd9Q+kaKTuIiJmu8f5LsWjHFZyf5QkSdKSsjz3g3PD0mq1NlE0lZtHtTs/kjqdzknAdcDJjUbjk0ttv95ZX+VYX8tnbZVjbZWzFuqrDiNXkiRJa4bNlSRJUoVsriRJkipkcyVJklQhmytJkqQK2VxJkiRVyOZKkiSpQjZXkiRJFRr69DdrQafT2QJsKbvf1NTURLvdptlsbu9Nj6DDOq73tdPpDDXIKLC+SrO+lsnaKs3aKuFI1tegHurqE9or0Ol0zgd2DjuHJElavkajkQ3iuDZXFVjpyNXs7OxEu93e3Ww2d4yPj/uvv6UdB+wCzgRuGnKW2rO+SrO+lsnaKs3aKuFI1tegRq68LFiBRqOxF9hbdr99+/ZtApient4zqvMnHUl9w+k3OT/X0qyvcqyv5bO2yhnl2spelg1zBGZ375t8Zz6QEaZB8YZ2SZKkCtlcSZIkVcjmSpIkqUI2V5IkSRWyuZIkSarQmm6uUkpXpJReNewckiRp/ajVoxhSSvcAPgf8V0Q8tLvsZuBHgbnuZrdExIP79jkVuAQ4FvgU8IyI+PSRzC1JktRTq+YK+DPgBuCH5i3/5Yj4wPyNu83YVcDvAu8E/gC4KqV0XETMDjqsJEnSfLVprlJKjwDuB/wl8Oxl7nYG8PmI2NU9xquBc4BTgQ/PO/7dgHcAB4DfiAgneJIkSZWrxT1XKaWNwOuA5wALPQ32r1JK+1JK16SUTulbvg3Y03sREXPAjd3l/cffDHwQuBU408ZKkiQNSl1Grs4F/jEibkgpnTxv3dOA67rfnwW8P6V0fETcAhwNTM/bfgZo9r2+F3At8A8R8ZLKkwOtVmsjsHEFu/ZyNlutVoWJ1qbJycmJsbEx5ubmJnrTb+iwrK8SrK9SrK0SrK3Va7VaAzlvg5q+aejNVUrpAcCvA9sXWh8RH+17+YaU0lOB04A3ArcD80/4ZqDd9/o0YBa4sKrMCzgX2LmK/W+tKshaNjMz0/t29+G20w+wvpbB+loRa2sZrK1K7B/QcQcyZ+HQmyvgFODewM0pJShGgO6WUvomcGxEzO8q7+TQybgReGZvRUppA3A8cEHf9m8BjgI+lFJ6VETcNoD3cAEra96aFL+cjuGuDaEWMDk5uX1sbGz33NzcjpmZmT1L77HuWV8lWF+lWFsljHhtDaqpKWvzsAOUUYfm6h3Ah/peP5liJCsBUyml7cAnuuueDvwMhxqqK4HXpJR+tfv9ORT/oV/b/wMi4g9SSq8Fru42WPMvJa7K1q1bDwIHy+7XN5zedmb5pXU6nQMAGzZsOOD5Wpr1VY71tXzWVjnW1uqN2nkb+g3tEfGdiLi194fiHqo7ut9PABcDtwFfp2iuHh8RX+zu+y3gdOAlFPdanQE8YaHHMETEOcDHKBqsySPw1iRJ0jqU5flCH87TkdC9QW8/sHnUuvJh6HQ6J1F8uOHkRqPxyWHnqTvrqxzra/msrXJGubayl2W1aBLynflA7o0alKGPXEmSJK0lNleSJEkVsrmSJEmqkM2VJElShWyuJEmSKmRzJUmSVCGbK0mSpArZXEmSJFWoDtPfjLxOp7MF2FJ2v6mpqYl2u02z2dzemx5Bh3Vc72un0xlqkFFgfZVmfS2TtVWatbVK3QexVm5QD3X1Ce0V6HQ65wM7h51DkqQqHfXKo4YdAYA7zrtjIMdtNBoDefK7I1fVuBSIsjvNzs5OtNvt3c1mc8f4+Lj/+lvaccAu4EzgpiFnqT3rqzTra5msrdJGubauG3aArpOHHaAMm6sKNBqNvcDesvvt27dvE8D09PQe5+daWt9w+k2jNj/XMFhf5Vhfy2dtlWNtrd6onTdvaJckSaqQzZUkSVKFbK4kSZIqZHMlSZJUIZsrSZKkCq3p5iqldHNK6bHDziFJktaPWj2KIaV0D+BzwH9FxEO7y7YBlwMnAF8Czo6Ij/Tt81zgXGAT8D7gWRHhR4MlSdJQ1G3k6s+AG3ovUkoNiodzvhuYAl4FXJVSmuqufzTFk9EfB9wb2AhcfIQzS5IkfV9tmquU0iOA+wFv7Vv8CODuwGsi4mBEvA34MnBGd/1ZwFsi4vruaNVLgV9JKd19gePfN6X0uZTS7w3uXUiSpPWuFs1VSmkj8DrgOUD/ZIfbgBsi4s6+Zdd3l/fW7+lbdyMwBjxg3vG3AdcCr4iIi6pNL0mSdEhd7rk6F/jHiLghpdQ/f9DRwP55284AmxdaHxF5SunbQLNv+4cDzwB+JyLeU3lyoNVqbaS4JFlWL2ez1WpVmGhtmpycnBgbG2Nubm6iN/2GDsv6KsH6KsXaKsHaWr1WqzWQ8zao6ZuG3lyllB4A/DqwfYHVt1PcqN5vM9A+zPpNfesBng38B/DeVYdd3LkU936t1K1VBVnLZmZmet/uHmaOEWR9LYP1tSLW1jJYW5WYP9BSlWwQBx16cwWcQnEz+s0pJShGgO6WUvomxYjT8SmlDX2XBk8E3tD9/kaKpuyv4fuX/+aAL/Qd/znA7wOXp5SeOe8SY1UuAC5cwX5Nil9Ox3DXhlALmJyc3D42NrZ7bm5ux8zMzJ6l91j3rK8SrK9SrK0SRry2BtXUlLV56U3qow7N1TuAD/W9fjLFSFYC/hv4HvCClNJFwBOBYyk+PQhwBbArpbSL4kb3lwN/GxHf6TveAeCXgA8Ab+o2WP33da3a1q1bDwIHy+7XN5zedmb5pXU6nQMAGzZsOOD5Wpr1VY71tXzWVjnW1uqN2nkb+g3tEfGdiLi19weYBu7ovu5QNFlPorjX6sXA6RFxW3ffqykaqg8Ae4EO8LwFfsbtwGnAccBlKaWBDANKkiRleV7pII5K6N6gtx/YPGpd+TB0Op2TgOuAkxuNxieHnafurK9yrK/ls7bKGeXayl6W1aJJyHfmIzUoMvSRK0mSpLXE5kqSJKlCNleSJEkVsrmSJEmqkM2VJElShWyuJEmSKmRzJUmSVCGbK0mSpArVYfqbkdfpdLYAW8ruNzU1NdFut2k2m9t70yPosI7rfe10OkMNMgqsr9Ksr2Wytkqztlap+yDWyg3qoa4+ob0CnU7nfGDnsHNIklSlo1551LAjAHDHeXcM5LiNRmMgT3535KoalwJRdqfZ2dmJdru9u9ls7hgfH/dff0s7DtgFnAncNOQstWd9lWZ9LZO1Vdoo19Z1ww7QdfKwA5Rhc1WBRqOxl2Li6FL27du3CWB6enqP83MtrW84/aZRm59rGKyvcqyv5bO2yrG2Vm/Uzps3tEuSJFXI5kqSJKlCNleSJEkV8p4rSRpx2cuyYX3se3/vm3xnPpBPXUmjyJErSZKkCq3p5iqldEVK6VXDziFJktaPWlwWTCldBjwOaAK3AZdFxCu7624GfhSY625+S0Q8uG/fU4FLgGOBTwHPiIhPH7n00tKGeNkGvHQjSUdUXUauXgvcPyI2AT8PPC2l9OS+9b8cEUd3//Q3VvcArgIuAKa631+VUqpF0yhJktafWjQhEfGZeYvuBB6wjF3PAD4fEbsAUkqvBs4BTgU+3L9hSuluwDuAA8BvRIQTPEmSpMrVZeSKlNIFKaUDwFeAo4G39a3+q5TSvpTSNSmlU/qWbwP29F5ExBxwY3d5/7E3Ax8EbgXOtLGSJEmDUouRK4CIODeldB7w08ATgOnuqqdxaG6js4D3p5SOj4hbKJqw6XmHmqG4d6vnXsC1wD9ExEsGkb3Vam0ENq5g117OZqvVqjDR2jQ5OTkxNjbG3NzcRG/6DZXTarU8b4uwvlbH2lqctbV6g6qvQU3fVJvmCiAicuDfU0qPBc4HXhARH+3b5A0ppacCpwFvBG4H5p/wzUC77/VpwCxw4aByA+cCO1ex/61VBVnLZmZmet/uHmaOEbd/6U3WJ+tr1aytRVhblRhUfQ3kQz61aq76jAP3X2TdnRw6GTcCz+ytSCltAI6nuMG95y3AUcCHUkqPiojbqo/LBayseWtSNFbHcNeGUAuYnJzcPjY2tntubm7HzMzMnqX3qJW6/I9n87AD1JX1tWrW1iKsrUqMVH0Nvbnq3g+VKD7pdzvwMOBs4OUppR8H7gN8orv504Gf4VBDdSXwmpTSr3a/P4eiSbm2/2dExB+klF4LXN1tsOZfSlyVrVu3HgQOlt2v71Jg25nll9bpdA4AbNiw4YDna2U8b4uzvlbHc7Y4a2v1Ru281eGG9pziXqpbKDrkNwN/BryO4p6qiymeffV1iubq8RHxRYCI+BZwOvASinutzgCeEBGz839IRJwDfIyiwZoc7FuSJEnr1dBHriLi28AjF1n9GeDEJfa/BnjwIuvOmvf698onlCRJWr46jFxJkiStGTZXkiRJFbK5kiRJqlBlzVWWZXfPsuz+WZY5MawkSVq3VtRcZVn2wizLdva9/nnga8DngC9kWXa/ivJJkiSNlJWOXD2Tuz5V/M+BT1NMW/NN4JWrzCVJkjSSVvoohh8D/gsgy7J7AycBp+Z5/pEsy8aBN1SUT5IkaaSsdOTquxya0++RFE9W/3j39Qwj9ph6SZKkqqx05OrfgBdlWXYn8IfA+/M8n+uuux/F/VfrRqfT2QJsKbvf1NTURLvdptlsbu9Nj6DDOq73tdPpDDXIqOp0OicNO0ONWV+rYG0dlrW1SoOqr0aj8clBHHelzdULgfd0/9xCMf1Mz69waBRrvXg2sHPJreYZHx9namoKnCm9rF3DDjDCrht2gBFgfa2MtbU0a2vlBlVfA3nCwYqaqzzPPwPcL8uye+R5/q15q19AMQ/genIpEGV3mp2dnWi327ubzeaO8fFxR66WdhzFL6czgZuGnKWsuvyP5+RhB6gx62t1rK3FWVurN1L1taq5BfM8/1b3uVZbgG/keT6b5/kN1UQbHY1GYy+wt+x++/bt2wQwPT29Z9Rm/B6GvuH0mwY1lLvWed4WZ32tjudscdbW6o3aeVvxQ0SzLHtMlmX/CnwP+ApwQnf5ZVmWnVlRPkmSpJGy0oeI/irwPor7rX5v3nG+CPzm6qNJkiSNnpWOXL0UeG2e578CXD5v3aeBbatKJUmSNKJW2lwdSzFytZAD+JwrSZK0Tq20ufo6h57bMd8JFJcLJUmS1p2VNld/DZyfZdkj+5blWZZtA/4IeNuqk1UgpXRzSumxw84hSZLWj5U+iuF84MHA1UDvOVfvB34E+AfgVWUOllK6DHgc0ARuAy6LiFd2122juK/rBOBLwNkR8ZG+fZ8LnEsxHc/7gGdFhI81kCRJQ7Gikas8z+/I8/wJFPMKvomi+bkCeEye50/I83y25CFfC9w/IjYBPw88LaX05JRSg+LhnO8GpiiatqtSSlMAKaVHUzwZ/XHAvYGNwMUreU+SJElVWO1DRP8Z+OfVhoiIz8xbdCfwAOARwN2B10TEncDbUkrPB84A3gycBbwlIq4HSCm9FPj3lNLZEfGd/gOmlO4L/CNwSURctNrMkiRJC1l2c5Vl2Q+XOXCe57eV2T6ldAHFM7PuTnFD/NuAJwI3dBurnus59KiHbdz1U4s3AmMUjdmevmNvA94LvCQi/l+ZXJIkSWWUGbn6JpCX2H6sTJCIODeldB7w08ATgGngaGD/vE1nOPSoh7usj4g8pfRtinu3eh4OPAP4nYh4T5lMy9VqtTZSXJIsq5ez2Wq1Kky0Nk1OTk6MjY0xNzc30Zs6SOW0Wi3P2yKsr9WxthZnba3eoOprUFPPlWmufotyzVVpEZFTXNZ7LMVN87dS3KjebzPQ7n5/+wLrN/WtB3g28B8UI1eDci7FvV8rdWtVQdaymZmZ3re7h5ljxM3/x4q6rK9Vs7YWYW1VYlD1lQ3ioMturvI8v2IQARYxDtwf+ADwRymlDX2XBk8E3tD9/kZgO8WjIXqX/+aAL/Qd6znA7wOXp5SeOe8SY1UuAC5cwX5NisbqGO7aEGoBk5OT28fGxnbPzc3tmJmZ2bP0HrVSl//x+IDfRVhfq2ZtLcLaqsRI1deqbmivQkppM5CAqyhGoh4GnA28HLiGYmLoF6SULqK4B+tYik8PQvEJxV0ppV3Al7v7/O28m9kPAL9E0ai9qdtgVToCt3Xr1oPAwbL79V0KbA9qaHIt6XQ6BwA2bNhwwPO1Mp63xVlfq+M5W5y1tXqjdt5W+hBRsiy7f5Zlr8iy7B1ZlsX8PyUOlVN86u8Wig75zcCfAa+LiA5F4/UkinutXgycHhG3AUTE1RQN1QeAvUAHeN78HxARtwOnUTxV/rKU0kCGASVJklY0cpVl2c8A11I0RD8BfIpiyO6+FJe5/mu5x+o+8PORh1l/A/Czh1l/MYs82yoi7tv3fRs4Zbm5JEmSVmKlI1evBv6O4lEIGfCMPM+PBX6O4hlV/6eaeJIkSaNlpc1V7yby3s3hdwPI8/zjwMsoOf2NJEnSWrHSG9pz4I48z/Msy74B3Af4eHfdrRSXCqUjLntZNtDHhSxXvjP3vj5Jy+bvrrVlpSNXnwHu1/3+X4AXZFm2LcuyBwIvAr5YRThJkqRRs9KRq8soRqsAzgM+yKHpZg5QfLpPkiRp3VlRc5Xn+f/r+/6zWZb9JMU0M3cD/jXP829UlE+SJGmkVPIQ0TzPb6cYvZIkSVrXln3PVZZl98yy7IQFlp+QZdk7syz7dJZlH8qy7H9VG1GSJGl0lBm5ugA4GTiptyDLsvsAHwHuTnHP1fHAu7Ms+4U8z9fNBJWdTmcLsKXsflNTUxPtdptms7m9Nz2CDuu43tdOpzPUIEvpdDonLb3VkVfXXDUxMvVVR9bWYY1MbdX173FQuRqNxicHcdwyzdUpFFPT9Hs+cDRwWp7nH8yy7IeAq4H/zfqa/fvZwM6yO42PjzM1NQXr61xVYdewAyzDdcMOsIi65qqTUaivOrK2ljYKtVXXv8dB5RrIoyfKNFf3Bm6ct+x/Adfnef5BgDzPv5tl2cXA/60o36i4FCgznyIAs7OzE+12e3ez2dwxPj7uyNXSjqP45XQmcNMi29TlF8PJ817XNZcOWU591VUd6svaWpy/u1ZvpOqrTHOVd/8AkGXZjwL/E3jtvO2+Btxz9dFGR6PR2EsxcXQp+/bt2wQwPT29Z9Rm/B6GvuH0mwY1lFuVuuara646GKX6qqNROWdDfljn90eu6vqwzrr+PdY112LKPET0c8Cj+l4/nqLZmv8pwS3AvlXmkiRJGkllRq4uAt6aZdkU8HXgbOC/gA/N2+4xwA3VxJMkSRoty26u8jzflWXZjwHPBSYprsM+J8/z2d42WZb9D4r7sErf3C1JkrQWlHqIaJ7nrwJedZj13wB+dLWhJEmSRtVKJ26WJEnSAiqZ/qauUkpXAF+PiBcNO4uk0TfkT5p9X10/aSapMPTmKqW0EbgEeCTFIxy+ArwyInZ1199McalxrrvLLRHx4L79T+3ufyzwKeAZEfHpI/YGJEmS+tThsuA40KJorjZTPO389Smlh/Vt88sRcXT3T39jdQ/gKoqpeaa631+VUhp60yhJktanoTchEXEA+OO+RR9NKX0MeDjwL0vsfgbw+b5RrlcD5wCnAh/u3zCldDfgHcAB4Dciot4TPEmSpJFUh5Gru0gpTQA/zV2n2vmrlNK+lNI1KaVT+pZvo5gwGoCImOvut23eMTdTPOz0VuBMGytJkjQoQx+56pdSyoC3AP/GoSe/P41DcxudBbw/pXR8RNwG6OMdAAAgAElEQVRCMWn09LzDzADNvtf3Aq4F/iEiXjKI3K1WayOwcQW79nI2W61WhYnWpsnJyYmxsTHm5uYmelMH1VWr1aplvrrmqgPra3XqmKnO6nq+1luuQU09V5vmqttYvZFiguhfjIgcICI+2rfZG1JKTwVO6257OzD/hG8G2n2vTwNmgQsHFB3gXFb34NRbqwqyls3MzPS+3T3MHMu0f9gBFlHXXENnfa1aHTPVWV3P13rLNZBP3taiueo2VpcAPwU8qnsf1mLu5NDJuBF4Zt9xNgDHU9zg3vMW4CjgQymlR0XEbVVm77qAlTVvTYrG6hju2hBqAZOTk9vHxsZ2z83N7ZiZmdmzyGZ1+cWwed7ruuZSl/W1aqNSW3U4V1DPv0MYnVy1VovmCngd8FDgkRHx/SG6lNKPA/cBPtFd9HTgZzjUUF0JvCal9Kvd78+haFKu7T94RPxBSum1wNXdBmv+pcRV2bp160HgYNn9+i4Ftgc1NLmWdDqdAwAbNmw4UPfzVdd8dc1VB9bX6tQxU53V9XyZqxpDv6E9pXQf4DnAg4CvppRu7/45j+KeqouB2ygmi3468PiI+CJARHwLOB14CcW9VmcAT4iI2fk/JyLOAT5G0WBNDv6dSZKk9WjoI1fdG9MPd83zxCX2vwZ48CLrzpr3+vdKxpMkSSpl6CNXkiRJa4nNlSRJUoVsriRJkipkcyVJklQhmytJkqQK2VxJkiRVyOZKkiSpQjZXkiRJFRr6Q0TXgk6nswXYUna/qampiXa7TbPZ3N6bekOHdVzva6fTGWqQpXQ6nZOGnWEhdc1VE9bXKtQxU53V9Xytt1yNRuOTgziuzVU1ng3sLLvT+Pg4U1NTALsrT7S27Rp2gGW4btgBFlHXXHVifa1MHTPVWV3P13rLdbgZYlbM5qoalwJRdqfZ2dmJdru9u9ls7hgfH3fkamnHUfyP70zgpkW2qcsvhpPnva5rLh1ifa3OqNRWHc4V1PPvEEYnV63ZXFWg0WjsBfaW3W/fvn2bAKanp/eM2ozfw9B3qeamQQ3lVqWu+eqaqw6sr9WpY6Y6q+v5Mlc1vKFdkiSpQjZXkiRJFbK5kiRJqpDNlSRJUoVsriRJkiq0ppurlNLNKaXHDjuHJElaP4b+KIaU0kbgEuCRwD2BrwCvjIhd3fXbgMuBE4AvAWdHxEf69n8ucC6wCXgf8KyI8LEGkiRpKOowcjUOtCiaq80UTzt/fUrpYSmlBsXDOd8NTAGvAq5KKU0BpJQeTfFk9McB9wY2Ahcf8XcgSZLUNfSRq4g4APxx36KPppQ+BjwcOBq4O/CaiLgTeFtK6fnAGcCbgbOAt0TE9QAppZcC/55SOjsivtP/c1JK9wX+EbgkIi4a7LuSJEnrVR1Gru4ipTQB/DRwI7ANuKHbWPVc311O9+uevnU3AmPAA+YdcxtwLfAKGytJkjRIQx+56pdSyoC3AP8GfBB4CLB/3mYzFJcPoRjZ+v76iMhTSt8Gmn3bPxx4BvA7EfGeQeRutVobKS5JltXL2Wy1WhUmWpsmJycnxsbGmJubm+hNHVRXrVarlvnqmqsOrK/VqWOmOqvr+VpvuQY19VxtmqtuY/VGinunfrHbKN1OcaN6v81Au/v9Qus39a2H4h6u/wDeW3noQ86luPdrpW6tKshaNjMz0/t29zBzLNP8fxTURV1zDZ31tWp1zFRndT1f6y1XNoiD1qK56jZWlwA/BTyqex8WFJf5/iiltKHv0uCJwBv61m8H/rp7nG3AHPCFvsM/B/h94PKU0jPnXWKsygXAhSvYr0nRWB3DXRtCLWBycnL72NjY7rm5uR0zMzN7FtmsLr8YNs97Xddc6rK+Vm1UaqsO5wrq+XcIo5Or1mrRXAGvAx4KPHLeYxSuAb4HvCCldBHwROBYik8PAlwB7Eop7QK+DLwc+Nt5N7MfAH4J+ADwpm6DlVcZfuvWrQeBg2X367sU2B7U0ORa0ul0DgBs2LDhQN3PV13z1TVXHVhfq1PHTHVW1/NlrmoM/Yb2lNJ9KEaXHgR8NaV0e/fPeRHRARLwJIp7rV4MnB4RtwFExNUUDdUHgL1AB3je/J8REbcDpwHHAZd1R8okSZIqN/SRq4i4hcNc84yIG4CfPcz6i1nk2VYRcd++79vAKSsOKkmStAxDH7mSJElaS2yuJEmSKmRzJUmSVKGh33MlSVp7spdllX4qe6XynbkfYNIR58iVJElShWyuJEmSKmRzJUmSVCGbK0mSpAp5Q3sFOp3OFmBL2f2mpqYm2u02zWZze2/qDR3Wcb2vnU5nqEGW0ul0Thp2hoXUNdd8R73yqOuG+OOvA7jjvDtOHmKGw6rj32MdM4G5ylpvuRqNxicHcVybq2o8G9hZdqfx8XGmpqYAdleeaG3bNewAyzDM5uBw6pqrjup8ruqYrY6ZwFxlrbdcA/k0qc1VNS4FouxOs7OzE+12e3ez2dwxPj4+UiNXQx5Z+L4FRhdqkQsYlVx1VYfztdC5qkMuqGd91TETmKusUclVazZXFWg0GnspJo4uZd++fZsApqen94zajN91Magh3dUy1+ir87mqY7Y6ZgJzlWWuanhDuyRJUoVsriRJkipkcyVJklQhmytJkqQK2VxJkiRVaE03VymlK1JKrxp2DkmStH7U4lEMKaXnAmcBxwPvjoin9q27GfhRYK676JaIeHDf+lOBS4BjgU8Bz4iITx+Z5JIkSXdVi+YKaAGvAB4F3HOB9b8cER+YvzCldA/gKuB3gXcCfwBclVI6LiJmB5hXkiRpQbVoriLiSoCU0oks3Fwt5gzg8xGxq7v/q4FzgFOBD/dvmFK6G/AO4ADwGxFR78npJEnSSBqVe67+KqW0L6V0TUrplL7l24A9vRcRMQfc2F3+fSmlzcAHgVuBM22sJEnSoNRi5GoJT+PQ3EZnAe9PKR0fEbcARwPT87afAZp9r+8FXAv8Q0S8ZBABW63WRmDjCnbt5Wy2Wq0KE60frVZr07AzLMRco6/O56qO2eqYCcxV1nrLNaip52rfXEXER/teviGl9FTgNOCNwO3A/BO+GWj3vT4NmAUuHGDMc4Gdq9j/1qqCrEP7hx1gEeYafXU+V3XMVsdMYK6y1luubBAHrX1ztYA7OXQybgSe2VuRUtpA8YnDC/q2fwtwFPChlNKjIuK2AWS6gJU1b02KxuoY7toQft+933TvoRf61571tc0LLB56rq752cx1eAv9XdZRHc6XdV9OHTOBucoalVy1VovmKqU0TpFlHNjQvfl8DtgC3Af4RHfTpwM/w6GG6krgNSmlX+1+fw5Fk3Jt//Ej4g9SSq8Fru42WPMvJa7K1q1bDwIHy+7XdymwPaihySqYrTxzjb46n6s6ZqtjJjBXWeaqRl1uaH8J8F3gxcCTu9+/ieKeqouB24CvUzRXj4+ILwJExLeA07v7z1B8evAJCz2GISLOAT5G0WBNDvoNSZKk9akWI1cRcT5w/iKrT1xi32uABy+y7qx5r3+vdDhJkqQS6jJyJUmStCbYXEmSJFWoFpcFJQ1H9rIsH3aGfGc+kI9CS9KwOHIlSZJUIZsrSZKkCtlcSZIkVcjmSpIkqUI2V5IkSRXy04IV6HQ6Wyim6illampqot1u02w2t3c6nQMDiFaJTqdz0rAzLKau2cy1fHXMBPXNBfXMVsdMYK6y1luuRqPxyUEc1+aqGs8GdpbdaXx8nKmpKYDdlSeq1nXDDnAYdc1mruWrYyaoby6oZ7Y6ZgJzlbXecg3kUTA2V9W4FIiyO83Ozk602+3dzWZzx/j4+GIjV3Uo9JMXWFaHXPCD2cx1eHXMVdf6qmsuGI2/xzpkAnOVNSq5as3mqgKNRmMvsLfsfvv27dsEMD09vafOM34Pati0CnXNZq7lq2MmqG8uqGe2OmYCc5Vlrmp4Q7skSVKFbK4kSZIqZHMlSZJUIZsrSZKkCtlcSZIkVWhNN1cppZtTSo8ddg5JkrR+1OJRDCml5wJnAccD746Ip/at2wZcDpwAfAk4OyI+Mm/fc4FNwPuAZ0VEbR9rIEmS1ra6jFy1gFcAb+pfmFJqUDyc893AFPAq4KqU0lR3/aMpnoz+OODewEbg4iMXW5Ik6a5q0VxFxJUR8ffAN+etegRwd+A1EXEwIt4GfBk4o7v+LOAtEXF9d7TqpcCvpJTuPv9npJTum1L6XErp9wb1PiRJkmrRXB3GNuCGiLizb9n13eW99Xv61t0IjAEP6D9I99LitcArIuKiwcWVJEnrXS3uuTqMo4H985bNAJsXWh8ReUrp20Czb/uHA88Afici3jOIkK1WayPFJcmyejmbrVarwkTVarVam4adYTF1zWau5atjJqhvLqhntjpmAnOVtd5yDWrqubo3V7dT3KjebzPQPsz6TX3rAZ4N/Afw3kEE7DqX4t6vlbq1qiADMr/BrZO6ZjPX8tUxE9Q3F9QzWx0zgbnKWm+5skEctO6XBW8Ejk8p9ec8sbu8t357b0X38t8c8IW+7Z9DMUJ0+bzjVOkCiqav7J9juvsfc5ht6qCuucBcZdUxV13rq665oJ656pgJzFXWqOSq6s9A1GLkKqU0TpFlHNiQUrobRZN0DfA94AUppYuAJwLHUnx6EOAKYFdKaRfFje4vB/42Ir7Td/gDwC8BHwDelFJ6ZkTkVebfunXrQeBg2f36LgW2BzU0WQWzlWeu5atjJqhvLqhntjpmAnOVZa5q1GXk6iXAd4EXA0/ufv+miOgACXgSxb1WLwZOj4jbACLiaoqG6gPAXqADPG/+wSPiduA04DjgspTSQIYBJUmSajFyFRHnA+cvsu4G4GcPs+/FLPJsq4i4b9/3beCUVcSUJElaUl1GriRJktYEmytJkqQK2VxJkiRVyOZKkiSpQjZXkiRJFbK5kiRJqpDNlSRJUoVsriRJkipUi4eIjrpOp7MF2FJ2v6mpqYl2u02z2dze6XQODCBaJTqdzknDzrCYumYz1/LVMRPUNxfUM1sdM4G5ylpvuRqNxicHcVybq2o8G9hZdqfx8XGmpqYAdleeqFrXDTvAYdQ1m7mWr46ZoL65oJ7Z6pgJzFXWess1kOnwbK6qcSkQZXeanZ2daLfbu5vN5o7x8fHFRq7qUOgnL7CsDrngB7OZ6/DqmKuu9VXXXDAaf491yATmKmtUctWazVUFGo3GXoqJo0vZt2/fJoDp6ek9dZ7xe1DDplWoazZzLV8dM0F9c0E9s9UxE5irLHNVwxvaJUmSKmRzJUmSVCGbK0mSpArZXEmSJFXI5kqSJKlCa7q5SimdlVL612HnkCRJ60ftH8WQUroC+DXgjr7FD4qIr3TX/xjwZuAU4OvAH0bElUc6pyRJEoxAc9V1YUS8aJF1fwP8J/AE4OeAK1NKN0bE549YOkmSpK5Raa4WlFJ6APAQ4PER8V3g6pTSB4FfB166wPYvBp4KPCYiWkc0rCRJWhdGpbn67ZTSbwNfBf4iIv6yu3wbcEtEzPRtez1wlwkeU0oZ8OcUjdiOiJg+ApklSdI6NArN1UXAC4Fp4OeBd6aU9kfEu4Cjgf3ztp8Bmn2vx4G3Aj8CPDoiFpvDb8VardZGYOMKdu3lbLZa9R1Ia7Vam4adYTF1zWau5atjJqhvLqhntjpmAnOVtd5yDWrqudo3VxHRP5/QNSmlS4AnA+8Cbgfmn/DNQLvv9bHA8cAjBtFYdZ0L7FzF/rdWFWRA5jewdVLXbOZavjpmgvrmgnpmq2MmMFdZ6y1XNoiD1r65WsCdHDoZNwL3TSltjojeiT+xu7zn88Crgb9PKZ02r1mrygXAhSvYr0nRWB3DXRvCfnUo9M0LLKtDLvjBbOY6vDrmqmt91TUXjMbfYx0ygbnKGpVctVb75iql9BTg/cAB4OHAc4HnAUTEF1JK/w78SUrpRd31jwHO6z9GRFyZUhoD3p9SemxE/GeVGbdu3XoQOFh2v75Lge1BDU1WwWzlmWv56pgJ6psL6pmtjpnAXGWZqxqj8BDR51LcyL4fuBR4aUS8vW/9U4EHAd8C3gSctdBjGCLi7yiasg+klLYPPLUkSVqXaj9yFRE7llj/VeDRi6y7Arii7/U7gHdUGE+SJOkuRmHkSpIkaWTYXEmSJFXI5kqSJKlCNleSJEkVsrmSJEmqkM2VJElShWyuJEmSKmRzJUmSVKHaP0R0FHQ6nS3AlrL7TU1NTbTbbZrN5vZOpzOoSaVXrdPpnDTsDIupazZzLV8dM0F9c0E9s9UxE5irrPWWq9FoDGK+YZurijwb2Fl2p/HxcaampgB2V56oWtcNO8Bh1DWbuZavjpmgvrmgntnqmAnMVdZ6y5UN4qA2V9W4FIiyO83Ozk602+3dzWZzx/j4+GIjV3Uo9JMXWFaHXPCD2cx1eHXMVdf6qmsuGI2/xzpkAnOVNSq5as3mqgKNRmMvsLfsfvv27dsEMD09vafOM34Pati0CnXNZq7lq2MmqG8uqGe2OmYCc5Vlrmp4Q7skSVKFbK4kSZIqZHMlSZJUIZsrSZKkCtlcSZIkVWhNN1cppUeklL4+7BySJGn9WBOPYkgpTQKXAacB3wb+NCJeP9xUkiRpPVoTzRXwOor3shW4P/ChlNJngXyoqSRJ0roz8s1VSmkCeDLwUxHRBv4zpXQF8FvAm+dt+3TgfOCXIuKzRziqJElaB9bCPVc/AWQR8Zm+ZdcD2/o3Sim9ADgXeISNlSRJGpSRH7kCjqa4z6rfDNDsvUgpXQA8BtgREd+oOkCr1doIbFzBrr2MzVarVWGiarVarU3DzrCYumYz1/LVMRPUNxfUM1sdM4G5ylpvuQY19VyW56N9W1JK6aeAT0TEUX3Lnga8AHg+8H6gA/x2RLx9EBlardb5wM5BHFuSJA3G1q1bs0Ecdy2MXH0eyFNKP9l3ue9E4Mbu9/uBJwJ/n1KaiYgPDCDDBcCFK9ivCdwKHAO0K020Bk1OTm4fGxvbPTc3t2NmZmbPsPOMAOurBOurFGurBGurtJGvr5EfuQJIKe2iuCz3m8CxwIeBpwB3Am+PiHullH4OeDdwZkR8cGhh+3SHOfcDmwc1NLmWdDqdk4DrgJNHbYb0YbC+yrG+ls/aKsfaKmct1NdauKEd4HcpHruwl+Iy4B9HxD/1bxARH6UYwfrrlNKjj3xESZK0HqyFy4JExAzF4xjmL78GuFff693APY9cMkmStN6slZErSZKkWrC5kiRJqpDNlSRJUoVsriRJkipkcyVJklQhmytJkqQK2VxJkiRVyOZKkiSpQmviIaLD1ul0tgBbyu43NTU10W63aTab2zudzoEBRFtrjut97XQ6Qw0yCqyv0qyvZbK2SrO2SjiS9TWo6YjWxNyCw9bpdM4Hdg47hyRJWr5Go5EN4rg2VxVY6cjV7OzsRLvd3t1sNneMj4/7r7+lHQfsAs4EbhpyltqzvkqzvpbJ2irN2irhSNbXoEauvCxYgUajsZdi0uhS9u3btwlgenp6z6jO/H0k9Q2n3+TM8kuzvsqxvpbP2irH2ipnLdSXI1eSJEkV8tOCkiRJFbK5kiRJqpDNlSRJUoVsriRJkipkcyVJklQhmytJkqQK2VxJkiRVyOZKkiSpQjZXkiRJFbK5kiRJqpDNlSRJUoVsriRJkipkcyVJklQhmytJkqQK2VxJkiRVyOZKkiSpQjZXkiRJFbK5kiRJqpDNlSRJUoVsriRJkio0PuwAa0VKaSNwCfBI4J7AV4BXRsSu7vptwOXACcCXgLMj4iN96/4MOBm4B/BDEfG9vmOfD7wYONj3I0/r7a+1bZC11d3mVOA1wIOANvCnEfG6I/DWVAMD/t31aeA+fT9uI/DZiDhh0O9Lwzfg2vph4PXAo4AM+GfgdyPiv4/Muzs8m6vqjAMtiiK6GXg48N6U0peA/wACuBQ4FXgycFVK6X4RMQ10gHcAFwPvWeT474qIpw70HaiuBlZbKaUHAn8H/Bbwj8Ddga0Dfj+ql4HVV0Q8uP91SukTC22nNWuQ/1+8gKJhu393278C/gKoxf8nba4qEhEHgD/uW/TRlNLHKIrpaIr/ab0mIu4E3pZSej5wBvDmiPgc8LmU0n2PcGyNgAHX1kuBN0XEP3Rf7+/+0TpxpH53pZQeDPw08KSK34JqasC1dSxwZUTMAKSU/gZ42WDeSXk2VwOSUpqg+EXyF8A24IZuAfVc312+XKellL4FfAO4gkMFqXWm4tp6GPDllNINwP8APg48LyJurTCyRsgAfnf1/CbwoYj46upTahRVXFuXAGenlP4WuAM4E3hfhXFXxRvaByCllAFvAf4N+CBFhz5/NGAGaC7zkH9HcT/MjwBPA54FPL+SsBopA6itHwOeDjwF+J/AbcCuSsJq5AygvnrHHaf43fWXFcTUCBpAbf07RQ+zr7vfvYE/rSRsBWyuKtYtoDdS/EX/SkTkwO3Apnmbbqa4eXhJEfHpiPhaRNwZEddRFNCTK4ytETCI2gK+A/xVRHw2Ir5DMYS/I6V0dEWxNSIGVF89jwOOAv5+tTk1egZUW+8EbgEmgQmKhu0fKwlcAZurCnUL6BLgpyg+zXegu+pG4PiUUv/5PrG7fCXupPh0hNaJAdbWp4B83rL5r7XGHYHfXb8F/HVEHFxyS60pA6yt44E3RsS3u58ivAj42ZTSPSuKvirec1Wt1wEPBR4ZEd/uW34N8D3gBSmli4AnUtyM9274fvFt7P4B2JhSovex05TS6cDuiLgtpXQCxWMZHF5fXwZSWxQfg355SumtwFcpRq7+OSJuH/D7Ub0Mqr5IKf0P4JeAnx30m1AtDaq2PgE8K6X0WYpPC/4u8LWI+OaA38+y2FxVJKV0H+A5FM+i+mpKqbfqlRHxylQsuBz4E4rneZweEbd1t7kP8OW+w810v/ZGp54CXJ5SuhvwdYrr1q8Z1HtRvQyytiLirSmlHwc+BjSAa4FfH+DbUc0M+HcXFPX06Yj45IDegmpqwLX1WxSjVbcAYxSj8KcP6K2UluW5VwAkSZKq4j1XkiRJFbK5kiRJqpDNlSRJUoVsriRJkipkcyVJklQhmytJkqQK2VxJkiRVyOZKkiSpQjZXkgYuy7JfybJsd5Zl386y7ECWZf+RZdnvZFm2qt9BWZa9LsuymyuKudjPOD/Lsrz7584sy/ZnWfap7s/+yRUe8xFZlp1XdVZJ9WBzJWmgsiy7EHg7xTQVTwWeQDHdzuuAv8mybBQmIf8u8DDg4cCTgCuARwHXZ1n2tBUc7xGAzZW0Rjm3oKSBybLs8cDzgf+T5/mL+lZ9KMuym4DXA/8MvPEwx7hbnuffW2x9RTmPAmbzPL9zkU3uzPP8X/teX51l2euB9wJvzrLs43mef2mQGSWNDkeuJA3S84H9wCsXWHcZ8EXgBb0F3Utwt2dZ9pAsy/4ly7LvAc/rrtuaZVlkWfadLMu+lmXZHy70A7MsOybLsrdlWfbNLMu+270cefK8bW7uXtb7wyzLbqEYmbpHmTfWbfieBxwFPLPv2L+RZdlHsyy7Lcuy6SzLrsmy7CH97xHYCUz0XW68pm/9T2ZZdlX38uOBLMvem2XZ/cpkkzRcjlxJGogsy8aBU4D35Xn+7fnr8zyfy7LsPcA5WZbdO8/zr3VXHQXsAv4cOBeY7i6/CjgGOBuY6a47Bpjt+5lTwEeB2ykan/3dr/+UZdkD8jz/Rl+EJwKfB34fmAO+U/Y95nn+mSzLvkZxybDnvsBbKRrHo4BfA3ZnWXZCnuefBy7v5v414Be6+3y7m/9Y4OPAjcBZwJ3Ai4EPZ1n2wDzPD5bNKOnIs7mSNCj3BDZS3Gu1mN66Y4Bec9UAzsvz/O96G2VZ9ljgp4FH5nn+T91lu4GvAt/sO945wCTwkF4jlWXZh4H/Al4I/FHftuPAaXmel26q5vkqcK/eizzP/6Qv9wbgauBnKJql8/I8vzXLslv5wUuNUIxoTQOP7l0KzbLs48CXgWdQXEaVVHNeFpRUB/m81++b9/pngf29xgogz/Np4J/mbfeLFPdw3ZZl2Xh39GwO+AhFg9PvmgoaK4CMvvzdy3rvzrLsv7s/uwM8EPiJZRzrFylG6Gb78k8DexbIL6mmHLmSNCjfBA4C9znMNr11X+tb9p08zw/M224LsG+B/f973ut7Ag/9/9u5Y9C66iiO499jHRJICEKrUjMJnbSz0sXgGkEcnHToUMShpdKlpCA4ZKggBisOLa4iujjEIZV0aEqpWmhpoaSVFIpIi4V2aAQlKMfhXOj1eSHP5L7g8P0s7917/+++/1seP/7n3D8VaAbdHji+3zFmK6ap8iIRMQl8R831GLUy9wdVChwb4l67qdW39zqu/d7HZCWNnuFK0khk5p8RcRGYiYjJzFxvX29KZrPAWqvfCv69igVwD9jTcf6ZgeOHwBLwfsfYwX6lru/5TyLiBeA5amsGqN6raeC1zLzWGjcF/DLELR9STyB2lf/WO85J+h8yXEkapQVgkWo+H9zX6RCwj2pQ38yPwFREvNrquXqKaghv91wtA28Dqx2rX72KiDHgUyq0fd6cHm9eN1rjDlBN7jdaH9+g+tEGLQMvAlcz86+epyxphxiuJI1MZn4bEQvAXETsBb6iSnazwGHga+D0ELdaAq4AX0TEceppwRPNa9vHwFvA+Yj4BPiZWvF6CbibmQtb/ClPRMTLzfsJYD/wDvA8cDAz7zTXvqeeVPwsIk5Sq1of8M+yJ8Aq8GREHKWeDnyUmbeohvbLwNmIOEOVPZ8FXgEuZOaXW5y/pB1kuJI0Upl5LCJ+4HGY2kWFiyPAmczctDyXmRkRr1ObjZ6mmrxP0ZTgWuMeNCFoHviQ2rvqPhV6vtnGzxgHLlGlxN+oXqpzwBuZebP1/b9GxJvAR1Rj+k/Au8DxgfstUqW/OeBpYAWYycy1Zk+s+eb6BFUSXQGub2P+knZQDPG/JkmSpCG5FYMkSVKPDFeSJEk9MpXPjQkAAABESURBVFxJkiT1yHAlSZLUI8OVJElSjwxXkiRJPTJcSZIk9chwJUmS1CPDlSRJUo8MV5IkST0yXEmSJPXIcCVJktSjvwFN6jCfJKJ15wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (-9223363305517425415)>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g = (ggplot(df,aes(x='Order Date',y='Sales',group=1)) +\n",
    "     geom_col(fill='green') + theme_minimal() +\n",
    "     #formatting date x-axis\n",
    "     scale_x_date(breaks=date_breaks('1 year'), labels=date_format('%Y')) +\n",
    "     scale_y_continuous(limits=(0,600000),\n",
    "                        breaks=range(0,600000,50000),\n",
    "                        labels=utils.k_format()) +\n",
    "     ylab('Sales') + xlab('Order Date') \n",
    "    )\n",
    "g"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## ~~Column + line timeline~~ Normalized line plot\n",
    "~~A good way of showing the relationship over time between an amount (columns) and a rate (line).~~ Using two axes of different scales is not an advisable visualization practice as detailed by [Hadley Wickham's answer](https://stackoverflow.com/questions/3099219/ggplot-with-2-y-axes-on-each-side-and-different-scales). We suggest using a line plot where all values are normalized by the first value instead."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('data/column-line-timeline.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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>Order Date</th>\n",
       "      <th>sales_one</th>\n",
       "      <th>profit_one</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2015 Mar</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2015 Jun</td>\n",
       "      <td>1.162409</td>\n",
       "      <td>2.939752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2015 Sep</td>\n",
       "      <td>1.929314</td>\n",
       "      <td>3.359736</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2015 Dec</td>\n",
       "      <td>2.412801</td>\n",
       "      <td>5.699987</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2016 Mar</td>\n",
       "      <td>0.924832</td>\n",
       "      <td>2.430959</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Order Date  sales_one  profit_one\n",
       "0   2015 Mar   1.000000    1.000000\n",
       "1   2015 Jun   1.162409    2.939752\n",
       "2   2015 Sep   1.929314    3.359736\n",
       "3   2015 Dec   2.412801    5.699987\n",
       "4   2016 Mar   0.924832    2.430959"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['sales_start'] = df['Sales'][0]\n",
    "df['profit_start'] = df['Profit'][0]\n",
    "df['sales_one'] = df['Sales']/df['sales_start']\n",
    "df['profit_one'] = df['Profit']/df['profit_start']\n",
    "df = df[['Order Date','sales_one','profit_one']]\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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>Order Date</th>\n",
       "      <th>variable</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2015 Mar</td>\n",
       "      <td>sales_one</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2015 Jun</td>\n",
       "      <td>sales_one</td>\n",
       "      <td>1.162409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2015 Sep</td>\n",
       "      <td>sales_one</td>\n",
       "      <td>1.929314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2015 Dec</td>\n",
       "      <td>sales_one</td>\n",
       "      <td>2.412801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2016 Mar</td>\n",
       "      <td>sales_one</td>\n",
       "      <td>0.924832</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Order Date   variable     value\n",
       "0   2015 Mar  sales_one  1.000000\n",
       "1   2015 Jun  sales_one  1.162409\n",
       "2   2015 Sep  sales_one  1.929314\n",
       "3   2015 Dec  sales_one  2.412801\n",
       "4   2016 Mar  sales_one  0.924832"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_m = df.melt(id_vars='Order Date')\n",
    "df_m.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (-9223363305517425271)>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g = (ggplot(df_m,aes(x='Order Date',y='value',group='variable',color='variable')) +\n",
    "     geom_line() + theme_minimal() +\n",
    "     scale_x_date(labels=date_format('%y-%m')) +\n",
    "     scale_y_continuous(labels=percent_format()) +\n",
    "     ylab('Times of Sales in 2015 Mar') + xlab('Order Date') +\n",
    "     theme(legend_title=element_blank())\n",
    "    )\n",
    "g"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Slope\n",
    "Good for showing changing data as long as the data can be simplified into 2 or 3 points without missing a key part of story"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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>Department</th>\n",
       "      <th>Color</th>\n",
       "      <th>Year</th>\n",
       "      <th>Sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Tools</td>\n",
       "      <td>False</td>\n",
       "      <td>2016</td>\n",
       "      <td>91303.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Tools</td>\n",
       "      <td>False</td>\n",
       "      <td>2017</td>\n",
       "      <td>85144.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Sports</td>\n",
       "      <td>False</td>\n",
       "      <td>2016</td>\n",
       "      <td>94912.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Sports</td>\n",
       "      <td>False</td>\n",
       "      <td>2017</td>\n",
       "      <td>80557.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Home</td>\n",
       "      <td>False</td>\n",
       "      <td>2016</td>\n",
       "      <td>91107.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Department  Color  Year    Sales\n",
       "0      Tools  False  2016  91303.0\n",
       "1      Tools  False  2017  85144.0\n",
       "2     Sports  False  2016  94912.0\n",
       "3     Sports  False  2017  80557.0\n",
       "4       Home  False  2016  91107.0"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('data/slope-2.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (8731337276985)>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g = (ggplot(df,aes(x='factor(Year)',y='Sales',color='Color',group='Department')) +\n",
    "     geom_point() + geom_line() + theme_minimal() +\n",
    "     xlab('') + ylab('') +\n",
    "     scale_y_continuous(limits=(78000,98000), breaks=range(78000,98000,2000),\n",
    "                        labels=utils.prettynum_format())\n",
    "    )\n",
    "g"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Area chart\n",
    "Use with care. These are good at showing changes to total, but seeing change in components can be very difficult."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "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>Date</th>\n",
       "      <th>Sales</th>\n",
       "      <th>Category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2015-03-01</td>\n",
       "      <td>22656.1390</td>\n",
       "      <td>Furniture</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2015-03-01</td>\n",
       "      <td>14528.6830</td>\n",
       "      <td>Office Supplies</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2015-03-01</td>\n",
       "      <td>37262.9740</td>\n",
       "      <td>Technology</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2015-06-01</td>\n",
       "      <td>28063.7496</td>\n",
       "      <td>Furniture</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2015-06-01</td>\n",
       "      <td>31243.7350</td>\n",
       "      <td>Office Supplies</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date       Sales         Category\n",
       "0  2015-03-01  22656.1390        Furniture\n",
       "1  2015-03-01  14528.6830  Office Supplies\n",
       "2  2015-03-01  37262.9740       Technology\n",
       "3  2015-06-01  28063.7496        Furniture\n",
       "4  2015-06-01  31243.7350  Office Supplies"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('data/area-chart.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (8731328762316)>"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g = (ggplot(df,aes(x='Date',y='Sales',fill='Category',group='Category')) +\n",
    "    geom_area() + \n",
    "    scale_x_date(breaks=date_breaks('6 months'),\n",
    "                labels=date_format('%m-%y')) +\n",
    "     scale_y_continuous(limits=(0,320000), breaks=range(0,320000,20000),\n",
    "                        labels=utils.prettynum_format())\n",
    "    )\n",
    "g"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you want to see how they appear by proportions you can plot:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "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>Date</th>\n",
       "      <th>Sales_x</th>\n",
       "      <th>Category</th>\n",
       "      <th>Sales_y</th>\n",
       "      <th>sales_per</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2015-03-01</td>\n",
       "      <td>22656.1390</td>\n",
       "      <td>Furniture</td>\n",
       "      <td>74447.7960</td>\n",
       "      <td>0.304322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2015-03-01</td>\n",
       "      <td>14528.6830</td>\n",
       "      <td>Office Supplies</td>\n",
       "      <td>74447.7960</td>\n",
       "      <td>0.195153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2015-03-01</td>\n",
       "      <td>37262.9740</td>\n",
       "      <td>Technology</td>\n",
       "      <td>74447.7960</td>\n",
       "      <td>0.500525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2015-06-01</td>\n",
       "      <td>28063.7496</td>\n",
       "      <td>Furniture</td>\n",
       "      <td>86538.7596</td>\n",
       "      <td>0.324291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2015-06-01</td>\n",
       "      <td>31243.7350</td>\n",
       "      <td>Office Supplies</td>\n",
       "      <td>86538.7596</td>\n",
       "      <td>0.361037</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date     Sales_x         Category     Sales_y  sales_per\n",
       "0  2015-03-01  22656.1390        Furniture  74447.7960   0.304322\n",
       "1  2015-03-01  14528.6830  Office Supplies  74447.7960   0.195153\n",
       "2  2015-03-01  37262.9740       Technology  74447.7960   0.500525\n",
       "3  2015-06-01  28063.7496        Furniture  86538.7596   0.324291\n",
       "4  2015-06-01  31243.7350  Office Supplies  86538.7596   0.361037"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_date = df.groupby('Date').sum().reset_index()\n",
    "df = df.merge(df_date,on='Date')\n",
    "df['sales_per'] = df['Sales_x'] / df['Sales_y']\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (8731329756175)>"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g = (ggplot(df,aes(x='Date',y='sales_per',fill='Category',group='Category')) +\n",
    "    geom_area() + \n",
    "    scale_x_date(breaks=date_breaks('6 months'),\n",
    "                labels=date_format('%m-%y')) +\n",
    "     scale_y_continuous(labels=percent_format())\n",
    "    )\n",
    "g"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Candlestick\n",
    "Usually focused on day-to-day activity, these charts show opening/closing and hi/low points of each day"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "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>date</th>\n",
       "      <th>open</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>close</th>\n",
       "      <th>close_on</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2009-06-01</td>\n",
       "      <td>28.70</td>\n",
       "      <td>30.05</td>\n",
       "      <td>28.45</td>\n",
       "      <td>30.04</td>\n",
       "      <td>high</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2009-06-02</td>\n",
       "      <td>30.04</td>\n",
       "      <td>30.13</td>\n",
       "      <td>28.30</td>\n",
       "      <td>29.63</td>\n",
       "      <td>low</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2009-06-03</td>\n",
       "      <td>29.62</td>\n",
       "      <td>31.79</td>\n",
       "      <td>29.62</td>\n",
       "      <td>31.02</td>\n",
       "      <td>high</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2009-06-04</td>\n",
       "      <td>31.02</td>\n",
       "      <td>31.02</td>\n",
       "      <td>29.92</td>\n",
       "      <td>30.18</td>\n",
       "      <td>low</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2009-06-05</td>\n",
       "      <td>29.39</td>\n",
       "      <td>30.81</td>\n",
       "      <td>28.85</td>\n",
       "      <td>29.62</td>\n",
       "      <td>high</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         date   open   high    low  close close_on\n",
       "0  2009-06-01  28.70  30.05  28.45  30.04     high\n",
       "1  2009-06-02  30.04  30.13  28.30  29.63      low\n",
       "2  2009-06-03  29.62  31.79  29.62  31.02     high\n",
       "3  2009-06-04  31.02  31.02  29.92  30.18      low\n",
       "4  2009-06-05  29.39  30.81  28.85  29.62     high"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('data/candlestick.csv')\n",
    "df['close_on'] = df.apply(lambda row: 'high' if row['open'] < row['close'] else 'low',1)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (8731329125068)>"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dow = ['Mon','Tue','Wed','Thu','Fri','Sat','Sun']\n",
    "g = (ggplot(df,aes(x='date',lower='close', middle='open', upper='open', ymin='low',ymax='high',\n",
    "                  fill='close_on')) +\n",
    "    geom_boxplot(stat='identity') + theme(legend_position='none') +\n",
    "    #customize date to show day of week\n",
    "    scale_x_date(breaks=date_breaks('4 days'),\n",
    "                 labels=lambda x: [f'{dow[i.weekday()]} {str(i)[8:11]}' for i in x])+\n",
    "    #manual fill\n",
    "    scale_fill_manual(values=['green', 'red']) +\n",
    "    xlab('Jun')\n",
    "    )\n",
    "g"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Fan chart (projections)\n",
    "Use to show the uncertainty in future projections - usually this grows the further forward to projection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "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>WeekDate</th>\n",
       "      <th>Projection</th>\n",
       "      <th>Close</th>\n",
       "      <th>Projectedli</th>\n",
       "      <th>Projectedho</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>2014-06-02</td>\n",
       "      <td>1</td>\n",
       "      <td>1354.68</td>\n",
       "      <td>1103.68</td>\n",
       "      <td>1584.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>2014-06-09</td>\n",
       "      <td>1</td>\n",
       "      <td>1341.61</td>\n",
       "      <td>1187.61</td>\n",
       "      <td>1575.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>2014-06-16</td>\n",
       "      <td>1</td>\n",
       "      <td>1348.23</td>\n",
       "      <td>1080.23</td>\n",
       "      <td>1624.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>2014-06-23</td>\n",
       "      <td>1</td>\n",
       "      <td>1337.97</td>\n",
       "      <td>1098.97</td>\n",
       "      <td>1606.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>2014-06-30</td>\n",
       "      <td>1</td>\n",
       "      <td>1334.89</td>\n",
       "      <td>1150.89</td>\n",
       "      <td>1540.89</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      WeekDate  Projection    Close  Projectedli  Projectedho\n",
       "69  2014-06-02           1  1354.68      1103.68      1584.68\n",
       "70  2014-06-09           1  1341.61      1187.61      1575.61\n",
       "71  2014-06-16           1  1348.23      1080.23      1624.23\n",
       "72  2014-06-23           1  1337.97      1098.97      1606.97\n",
       "73  2014-06-30           1  1334.89      1150.89      1540.89"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('data/fan-chart-projections.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (-9223363305525184284)>"
      ]
     },
     "execution_count": 124,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#when fan is defined\n",
    "g = (ggplot(df,aes(x='WeekDate',y='Close',group='Projection',\n",
    "                   ymin='Projectedli',ymax='Projectedho')) +\n",
    "     geom_line(color='green') + theme_minimal() + \n",
    "     #add ribbons\n",
    "     geom_ribbon(alpha=0.5) +\n",
    "     #formatting date x-axis\n",
    "     scale_x_date(breaks=date_breaks('3 months'), \n",
    "                  labels=date_format('%y-%m')) +\n",
    "     scale_y_continuous(limits=(0,2000),\n",
    "                        breaks=range(0,2000,200),\n",
    "                        labels=lambda x: [f'{round(i/1000,1)}k' for i in x])\n",
    "    )\n",
    "g"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "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>WeekDate</th>\n",
       "      <th>Close</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>2014-06-02</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>2014-06-09</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>2014-06-16</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>2014-06-23</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>2014-06-30</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      WeekDate  Close\n",
       "69  2014-06-02    NaN\n",
       "70  2014-06-09    NaN\n",
       "71  2014-06-16    NaN\n",
       "72  2014-06-23    NaN\n",
       "73  2014-06-30    NaN"
      ]
     },
     "execution_count": 140,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_df = df[['WeekDate','Projection']].merge(df[df['Projection']==0], on='WeekDate',how='left')\n",
    "new_df = new_df[['WeekDate','Close']]\n",
    "new_df.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting scikit-misc\n",
      "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/52/12/5a3f2148c131b3d9830ef3508e597cbfc790c3e704d7aa80cc1620485495/scikit_misc-0.1.1-cp36-cp36m-manylinux1_x86_64.whl (9.2MB)\n",
      "\u001b[K    100% |████████████████████████████████| 9.2MB 376kB/s \n",
      "\u001b[?25hRequirement already satisfied: numpy in /home/charin/anaconda3/envs/drlnd/lib/python3.6/site-packages (from scikit-misc) (1.16.2)\n",
      "Installing collected packages: scikit-misc\n",
      "Successfully installed scikit-misc-0.1.1\n",
      "\u001b[33mYou are using pip version 19.0.1, however version 19.1.1 is available.\n",
      "You should consider upgrading via the 'pip install --upgrade pip' command.\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "#install scikit-misc for loess smoothing\n",
    "!pip install scikit-misc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/charin/anaconda3/envs/drlnd/lib/python3.6/site-packages/plotnine/stats/smoothers.py:176: PlotnineWarning: Making prediction outside the data range, setting loess control parameter `surface='direct'`.\n",
      "  PlotnineWarning)\n",
      "/home/charin/anaconda3/envs/drlnd/lib/python3.6/site-packages/plotnine/geoms/geom_path.py:75: PlotnineWarning: geom_path: Removed 26 rows containing missing values.\n",
      "  warn(msg.format(n1-n2), PlotnineWarning)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (8731330092934)>"
      ]
     },
     "execution_count": 159,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#when fan is defined\n",
    "g = (ggplot(new_df,aes(x='WeekDate',y='Close',group=1)) +\n",
    "     geom_line(color='green') + theme_minimal() + \n",
    "     #add smoothing\n",
    "     geom_smooth(linetype='dashed',alpha=0.5,color='black',size=0.5,\n",
    "                 method='loess',se=True,fullrange=True,level=0.95)+ #method, show error band, fullrange\n",
    "     #formatting date x-axis\n",
    "     scale_x_date(breaks=date_breaks('3 months'), \n",
    "                  labels=date_format('%y-%m')) +\n",
    "     scale_y_continuous(limits=(0,2000),\n",
    "                        breaks=range(0,2000,200),\n",
    "                        labels=lambda x: [f'{round(i/1000,1)}k' for i in x])\n",
    "    )\n",
    "g"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/charin/anaconda3/envs/drlnd/lib/python3.6/site-packages/numpy/core/fromnumeric.py:2389: FutureWarning: Method .ptp is deprecated and will be removed in a future version. Use numpy.ptp instead.\n",
      "  return ptp(axis=axis, out=out, **kwargs)\n",
      "/home/charin/anaconda3/envs/drlnd/lib/python3.6/site-packages/plotnine/geoms/geom_path.py:75: PlotnineWarning: geom_path: Removed 26 rows containing missing values.\n",
      "  warn(msg.format(n1-n2), PlotnineWarning)\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAlMAAAHHCAYAAACbXt0gAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD+naQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvOIA7rQAAIABJREFUeJzs3Xd4W+XdPvD70bA8JFse8orjGWeQOA6BJLyMEEgCpcChQCmhQAmjbim8HfTtgr51/BYIlDJLaREt8KNllFkOpOwVEkICAUzIIMOxY1se8pAsb43z++NIwXbsYPtYlpzcn+vSJcs+Pv76GyW59ZxHzyMURQERERERjY8u0gUQERERTWUMU0REREQaMEwRERERacAwRURERKQBwxQRERGRBgxTRERERBowTBERERFpwDBFREREpAHDFBEREZEGDFNEREREGjBMEREREWnAMEVERESkAcMUERERkQYMU0REREQaMEwRERERacAwRURERKQBwxQRERGRBgxTRERERBowTBERERFpwDBFREREpAHDFBEREZEGDFNHAYfDYXI4HGscDocp0rWMxOv1Znm93jVerzcr0rUMhz3Ujj3ULpp7yN5pxx5OXQxTRwcTgPLgfbTKglpjVP4jAvZwIrCH2kVzD9k77djDKYphioiIiEgDhikiIiIiDRimiIiIiDRgmCIiIiLSgGGKiIiISAOGKSIiIiINGKaIiIiINGCYIiIiItKAYYqIiIhIA4YpIiIiIg0YpoiIiIg0YJgiIiIi0oBhioiIiEgDhikiIiIiDRimiIiIiDRgmCIiIiLSgGGKiIiISAOGKSIiIiINGKaIiIiINGCYIiIiItKAYYqIiIhIA4YpIiIiIg0YpoiIiIg0YJgiIiIi0oBhioiIiEgDhikiIiIiDRimiIiIiDRgmCIiIiLSgGGKiIiISAOGKSIiIiINDJEuYCryer1ZALIiXcdoJScnJ3g8HlgsllKv19sV6XpGMDt07/V6I1rIcNhD7dhD7aK8h+ydduxhmBmNxk/CcV6hKEo4zntE83q9awCUR7oOIiIiGj2j0SjCcV6GqXGYaiNTPp8vwePxrLdYLEsNBkO0vpqYDeBxAJcC2BXhWg7BHmrHHmoX5T1k77RjD8MsXCNTvMw3DkajsQFAQ6TrGC2n05kIAO3t7ZXZ2dkdka5nOAOGtHeF68muBXuoHXuoXTT3kL3Tjj2cujgBnYiIiEgDhikiIiIiDRimiIiIiDRgmCIiIiLSgGGKiIiISAOGKSIiIiINGKaIiIiINGCYIiIiItLgiAlTkiStliTpw0jXQUREREeXiK+ALknS9QBWAygB8IIsy6sOc+x3AKwBMB3qCuS/l2X5H5NQJhEREdGwomFkygHgZgAPHe4gSZKmA/gngF8BSARwNYAHJUk6JuwVEhEREY0g4iNTsiw/DwCSJC0AkHaYQ3MBuGRZfin4+H1JkvYBOAbAjqEHS5J0E4BVAM6UZdkxsVUTERERqSIepsZgM4DdkiSdD+BFAKcCyACwceBBkiQJAHcDWAxgqSzL7ZNdKBERER09pkyYkmXZJ0nSIwAeAxAHIADgGlmWGwYcZgh+3QZgpSzLXeGoxeFwmACYwnHuMLGE7h2O6Byks1qtCXq9Hn6/PyG0M3mUYQ+1Yw+1i9oesnfasYfhl52d3RGO806ZMCVJ0pkA/gjgDKijVHMAvCxJUqssy+uChxVCnci+LFxBKug3AMrDeP5wqYt0ASNxuVyhD9dHso5RYA+1Yw+1i7oesnfasYeTQoTjpFMmTEENSRtlWd4UfLxdkqT/ADgLQChM7QbwBwD/liTpLFmWPwlTLWsB3BWmc4eDBeqTPweAJ8K1DMtqtZbq9fr1fr9/qcvlqox0PcNgD7VjD7WL2h6yd9qxh1NXxMOUJEmGYB0GADpJkmIB+GVZ9g45dAuAGyVJWiTL8keSJM0C8E0Atw48SJbl5yVJ0gN4RZKkb8iy/OlE15ydnd0HoG+izxsuA4ZjPeEa4tTK6/V2AYBOp+uKxhrZQ+3YQ+2iuYfsnXbs4dQVDUsj/BZAD4CbAFwU/PghAJAkqVOSpFMAQJbl9QBuBPC4JEkeAG8AeBLA34eeUJblZwD8N4BXJUkqnYxfgoiIiI5OER+ZkmV5DdSFOIf7mnnI478C+OsIxz4K4NEBj58G8PTEVElEREQ0vGgYmSIiIiKashimiIiIiDRgmCIiIiLSgGGKiIiISAOGKSIiIiINGKaIiIiINGCYIiIiItKAYYqIiIhIA4YpIiIiIg0YpoiIiIg0YJgiIiIi0iDie/NNRV6vNwtAVqTrGK3k5OQEj8cDi8VSGtqVPArNDt17vd6IFjIc9lA79lC7KO8he6cdexhmRqPxk3CcVyiKEo7zHtG8Xu8aAOWRroOIiIhGz2g0inCcl2FqHKbayJTP50vweDzrLRbLUoPBEK2vJmYDeBzApQB2RbiWQ7CH2rGH2kV5D9k77djDMAvXyBQv842D0WhsANAQ6TpGy+l0JgJAe3t7ZXZ2dkek6xnOgCHtXeF6smvBHmrHHmoXzT1k77RjD6cuTkAnIiIi0oBhioiIiEgDhikiIiIiDRimiIiIiDRgmCIiIiLSgGGKiIiISAOGKSIiIiINGKaIiIiINDiiwpQkSWskSXoq0nUQERHR0SMqVkCXJOl6AKsBlAB4QZblVYc5NhbA7QAuARALYA+AZbIseyahVCIiIqJBoiJMAXAAuBnACgBpX3PsXwEkQA1ezuB9f1irIyIiIhpBVIQpWZafBwBJkhbgMGFKkqSZAC4AkCvLsiv46coRjtUBeADALAASR66IiIgoHKIiTI3BEgA1AMolSboc6sjU3bIs2wceJElSDNSdt40AzpJluXfSKyUiIqKjwlQLU9MBzAMgA5gGYD6ANyRJ2iPL8jvBY8wA1gGoB3C1LMv+iS7C4XCYAJgm+rxhZAndOxyOiBYyEqvVmqDX6+H3+xNCO5NHGfZQO/ZQu6jtIXunHXsYftnZ2R3hOO9UC1PdAPwAKmRZ7gfwkSRJzwD4JoBQmFqM4JyqcASpoN8AKA/TucOpLtIFjMTlCl21xfpI1jEK7KF27KF2UddD9k479nBSiHCcdKqFqc9HcczbADYBeFuSpGWyLFeHoY61AO4Kw3nDxQL1yZ8DICrnjlmt1lK9Xr/e7/cvdblcw86DizD2UDv2ULuo7SF7px17OHVFRZiSJMkAtRYDAF1w+QO/LMveIYeuB1AF4CZJkn4P9Z183wZw3sCDZFm+NzgB/Z1goKqZyHqzs7P7APRN5DnDacBwrCdcQ5xaeb3eLgDQ6XRd0Vgje6gde6hdNPeQvdOOPZy6omXRzt8C6AFwE4CLgh8/BACSJHVKknQKAMiy7AMgATgdgBvA0wBukGX5kCFRWZbvBnA/1ECVOxm/BBERER19omJkSpblNQDWjPA185DHuwCccpjzDHx8J4A7J6JGIiIiouFEy8gUERER0ZTEMEVERESkAcMUERERkQYMU0REREQaMEwRERERacAwRURERKQBwxQRERGRBgxTRERERBowTBERERFpwDBFREREpEFUbCcz1Xi93iwAWZGuY7SSk5MTPB4PLBZLaWgjzSg0O3Tv9Q7d3zry2EPt2EPtoryH7J127GGYGY3GT8JxXqEoSjjOe0Tzer1rAJRHug4iIiIaPaPRKMJxXoapcZhqI1M+ny/B4/Gst1gsSw0GQ7S+mpgN4HEAlwLYFeFaDsEeasceahflPWTvtGMPwyxcI1O8zDcORqOxAUBDpOsYLafTmQgA7e3tldnZ2R2Rrmc4A4a0d4Xrya4Fe6gde6hdNPeQvdOOPZy6OAGdiIiISAOGKSIiIiINGKaIiIiINGCYIiIiItKAYYqIiIhIA4YpIiIiIg0YpoiIiIg0YJgiIiIi0uCIClOSJK2RJOmpSNdBRERER4+oWAFdkqTrAawGUALgBVmWV43ie1YDeATAtbIs/zWsBRIRERGNICrCFAAHgJsBrACQ9nUHS5KUCuDXAL4Ic11EREREhxUVYUqW5ecBQJKkBRhFmAJwJ4A/ArhspAMkSdIBeADALACSLMueCSiViIiIaJApN2dKkqRlAGYC+PthjokB8C8AmQDOYpAiIiKicImKkanRkiTJBODPAC6TZVmRJGm4w8wA1gGoB3C1LMv+ia7D4XCYAJgm+rxhZAndOxyOiBYyEqvVmqDX6+H3+xNCO5NHGfZQO/ZQu6jtIXunHXsYftnZ2R3hOO+UClMAfgXgTVmWPz3MMYsBJAAoCUeQCvoNgPIwnTuc6iJdwEhcLlfow/WRrGMU2EPt2EPtoq6H7J127OGkEOE46VQLU6cDWCBJ0qXBx0kAjpck6URZlr8X/NzbADYBeFuSpGWyLFeHoY61AO4Kw3nDxQL1yZ8DICoveVqt1lK9Xr/e7/cvdblclZGuZxjsoXbsoXZR20P2Tjv2cOqKijAlSZIBai0GADpJkmIB+GVZ9g459CIMvrz2DIAXATw08CBZlu8NTkB/Jxioaiay3uzs7D4AfRN5znAaMBzrCdcQp1Zer7cLAHQ6XVc01sgeasceahfNPWTvtGMPp65omYD+WwA9AG6CGph6EAxIkiR1SpJ0CgDIsuyUZbkudIMaaFyyLLcOPaEsy3cDuB9qoMqdpN+DiIiIjjJRMTIly/IaAGtG+Jr5MN+3bJjzDHx8J9RlFIiIiIjCIlpGpoiIiIimJIYpIiIiIg0YpoiIiIg0YJgiIiIi0oBhioiIiEgDhikiIiIiDRimiIiIiDRgmCIiIiLSgGGKiIiISAOGKSIiIiINGKaIiIiINIiKvfmmGq/XmwUgK9J1jFZycnKCx+OBxWIpDe1KHoVmh+69Xm9ECxkOe6gde6hdlPeQvdOOPQwzo9H4STjOKxRFCcd5j2her3cNgPJI10FERESjZzQaRTjOyzA1DlNtZMrn8yV4PJ71FotlqcFgiNZXE7MBPA7gUgC7IlzLIdhD7dhD7aK8h+ydduxhmIVrZIqX+cbBaDQ2AGiIdB2j5XQ6EwGgvb29Mjs7uyPS9QxnwJD2rnA92bVgD7VjD7WL5h6yd9qxh1MXJ6ATERERacAwRURERKQBwxQRERGRBgxTRERERBowTBERERFpwHfzERERUUTY7XY9ABuATKhLDmUCMJeVlf0pooWNEcMUERERhZ3dbjdhcGjKhBqk9EMOnXJrWDFMERER0YSy2+2JODQ4WQGEZQXySDuiwpQkSWsAzJZleVWkayEiIjrS2e12HYBUDA5NmQDiI1nXZIuKMCVJ0vUAVgMoAfDCSGFIkqQTAFQAOD74qQ8B/FSW5T2TUScREdHRyul0GsxmM7Zs2bLQ4/FYoIamdADGCJcWcVERpgA4ANwMYAWAtMMclwzgYQDfAdAD4PcAZABzwl0gERHR0cJutydgyGiTXq/PLiwsRHd395kA+iJaYJSJijAly/LzACBJ0gIcJkzJsvzKwMeSJN0J4JeSJKXKstw65Gs6AA8AmAVAkmXZM+GFExERTWF2u10ASMHgS3SZACzDHH5EzneaCFERpjQ4FUDjMEEqBurO20YAZ8my3BuJ4oiIiKKF3W43QL0sNzA0ZQAwRbKuQCCA+vp6S39/v76oqMj1wQcfTC8rK4tkSWM2ZcOUJEmFAO4H8N9DvmQGsA5APYCrZVn2T/TPdjgcJkT4yTdGoVcYFofDEdFCRmK1WhP0ej38fn9CaGfyKMMeasceahe1PWTvtJvIHtbU1MQ2NDRk9Pb2pnu93sxAIJBhMBhSFUUZ92LdBoMhZuD9WAUCAdTV1VkyMjK6TCZT4N57713R2NiY5XK5Ur1eb2xhYeGOG2+8UTaZTMYdO3YkWq3W8ZY6ouzs7I4JPymmaJiSJCkHwBsAbpNl+ekhX14MIAFASTiCVNBvAJSH6dzhVBfpAkbicrlCH66PZB2jwB5qxx5qF3U9ZO+0G28PvV4v+vr60Nvbi76+PvT19cHr9SI5OXniiwSQm5t7w+G+HggE0NXVBYvFgn379uG5555DTU0Nampq0N3djT//+c8oLCxEaWkpFi1ahPz8fOTl5SE7O/sYvV5/zMyZM2G1Wn8YluLDdKlyyoUpSZKmAXgHwEOyLN89zCFvA9gE4G1JkpbJslwdhjLWArgrDOcNFwvUf0ByAETl3DGr1Vqq1+vX+/3+pS6XqzLS9QyDPdSOPdQuanvI3mn3dT3s7u4WX375ZZrH48nwer2Zfr8/PRAIZCiKEjsZ9RkMhpjc3NwbDhw4cJfP5+v3+/3w+/26mJiYwDPPPDO/qqoqt7W1Nc3tdqempKQ0r1279h+fffZZxt69exfZbLbWefPmOQsLC1v0er27qqpKWbZs2cFze71e1NTUAACEEF1FRUX3TcbvNFGiIkxJkmSAWosBgE6SpFgAflmWvUOOywbwLoB/yrJ820jnk2X53uAE9HeCgapmIuvNzs7uwxR6J8OAIW1PuIY4tfJ6vV0AoNPpuqKxRvZQO/ZQu2juIXun3cAevvzyy31Q5zMNXS18uP+3w/r/USAQgE6ng8PhSHj//ffx7rvvntna2prq8XjSzj777OfPPvvsnQ0NDUmBQMA3a9asbdOmTXMWFRU1+/3+vvnz5x+YP3/+gaHn9PsPe+GoL1r/jEYSFWEKwG8x+LLZRQD+H4DVkiR1Qp1E/j6A7wOYAeAXkiT9YsDxx8iyPOgPS5blu4cEqkP+MImIiCLNbrdbAGTNmDHj2JycHGzbtu0SAJ2I0LvnNm7cmLtjx478lpYWW3t7u83v9xvuvPPO+3t7ew2bNm2CwWDwzZ07tzI7O7ultLS0HgCuu+66NyNRa7SIijAly/IaAGtG+Jp5wMcVUBftPNx5Bj6+E8CdE1EjERGRFiOsFp4BdZ4vnE5nltlshs/nS0SY96fr7u42vPXWWzMbGhpswdCUvnDhwi2XXHLJx59//vmMurq6vJSUFGdJScmnOTk5TgAoLCx033///aiqqnrF7/dPmaszkyEqwhQREdGRxG63x0ANSgOXIZj01cKrqqqs27Zty2loaLC1trba3G53yi233GJXFAVvvPHGNxMTE1tSUlKcCxYs+Hj+/PnVAHDttde+PZk1HgkYpoiIiDSw2+1mHLo3XQom6TJdIBDAZ599lllTU2NrbGy0tbS02HJzcw9cccUVm9555515lZWVS6xWqzMlJcVZUFBQ5fV6dQkJCb777rvvj5NR3zgokS5grBimiIiIRiG4WngqDl0t3Hy475sonZ2dxl27dtlCoam1tdVWVlb2YmZmZvcjjzxyuU6n84dC07Rp05wAcMUVV2w0GAwbJqO+MfIDcAFoG3JrDX5+SmGYIiIiGsJutxsx+DJdRvA2rgUrx6Kjo8O4ZcuWaTU1Nbampiab2WzuWr169QevvfbaMa+//vq34uLiOkKhye/36wBg7dq195jNZu/QcxkMhkiO8vhwaFhqA9AOwF1WVhaIYG0TimGKiIiOasFNfYeONqUCGPdq4aPR1tYWu3v37rQDBw7YmpqabN/5zndqCgoKcOONN0otLS2p8fHxbqvV2my1WjsA4IwzztixfPnyXVar9ZDJ38MFqUnSDzUcDReaOsrKyqbcJbvxYJgiIqKjgqIo2LZtW/LLL788HV+NNmVh+E19J4zT6YzbvXu3rba21ubz+fSXXXbZlg0bNuT94x//WA0ACQkJ7Var1dnd3e0AgBtuuOH1mJiY/RaLZVBAGvp4EvUBaDMYDD2pqaloampa19HRcQBAW1lZWWeEaooqDFNERHTEGbqpb0xMTH5hYSHq6+t/iDAtctnY2Bi/Z88eW21trW3evHkH5s+f33zbbbddsH///hIAitlsbs/MzKwBgNLSUkdCQsKDM2fObElISPABQFJSUhYAFBYWetxu92QHpx4MP7rUVlZW1gUADocjEQCWLl36+VRbVDPcNIcpIYSAmuybFUXxaS+JiIjCTVQIIwCTUq5M+ZEFu90ej0Mv06VhwGU6v99v+ppVt0clEAigoaHBvHfvXltLS0vihRdeWFldXZ145513/qC/vz9eCBEwm81tVqu1c/78+c1nnnnmBzqdbmNxcXFrfHz8wf8jLRaL99hjj23UXNDYdGHkwNQzybUcUcYdpoQQZ0JdQPNYAHqoGwx/IoSwA3hPUZTHJ6ZEIiKaKKJCxAG4CsCvAGSKCrEOwD8ArFPKlaheiDH4brpkHBqcEif6ZwUCAdTX11v27t1rS0lJ6SotLW165JFHTtq6detJXq83TggRSExMdJ533nmfT5s2rfOMM874T35+fnNxcXFbbGzswdQWgcDkwciBKar/fKeycYUpIcQlAP4J4FkAjwD4y4Av7wNwJQCGKSKiKCEqhBnADwD8D9QXwHcB+BTAdwE8BqBfVIingx9vUsqViE4cHnqZDl/NcTJN5M8JBAI4cOBA4r59+2zLli2r8vv9Ys2aNVe63W6bz+cz6XQ6//HHH/9eaWlp0zHHHFOdnp7eVlBQ4JwxY0ZbTExM6N1oyrnnnrt9Ius6DAWDA1PrgI/by8rK+iepDhpgvCNT/wvgHkVRfi6E0GNwmNoO4GeaKyMiIs1EhUgCcD3Uf5f7ANwG4CGlXOkOHvKaqBA/AvAtAN8D8D7UF8SPTVaNo7lMp5Xf70djYyO+/PLL5BkzZjS+8sors9avX39KR0eHzefzxeh0Ot/MmTPvmz59umfOnDlfpKWluQoLC52FhYUuo9EYAIAlS5bUA6ifqJpGIoRQMPwaTKHAFKmJ6DSC8YapQgD/GeFrXQCSxnneKcHr9WZBnSc2JSQnJyd4PB5YLJbS0K7kUWh26N7rjb5/J9hD7dhD7cbaw5f3vGyNM8T9LaAETMdmHvvXx8577KV8a74XQ36//hv7AWAngN888cUTd85KndXl9XoXjrG8r+1dIBCAw+FIdDqdqR0dHWk9PT2pfX19qUlJSRO26KXP5xPV1dWWadOmdcXFxfnvuOOOk2prazPa2tqsPp8Pc+bMOaO8vPyNGTNmmDweT31ubu62oqIiV35+vsdgMJgBmK+//voDwdOZoI6GTTghRECv13cajUa3yWTqiI2NdWdlZXVkZWWhpKTkfYPBsHPIt8QHbzmRem5Okb/Dh2U0Gj8Jx3mFMo6RXCFENYA7FEX5c3BkygvgeEVRPhFC/ATAtYqizD7sSaYwr9e7BkB5pOsgIhqJp8+DM584EwoUvP7d12ExhfXd/4cIBALo7e1Fd3c3enp60NPTg97eXkzEJHAA8Pl86OjoQEpKCnbv3o3HH38cVVVVqKmpQV9fH+x2O0pLS/Hwww8jJiYGhYWFKCgoQEZGBnS6sC4fdZAQAjExMTCZTAdvoccxMTGTVgd9xWg0hmWLn/GOTD0BYI0QYheAd4OfU4QQ8wD8EoMv+x2JHgQgR7qI0fL5fAkej2e9xWJZajAYovXVxGyo8+wuBbArwrUcgj3Ujj3UbrQ9rHZVGxc/vPi+Xl9v+hPnP3G1xWQJ6/Yc7e3tsR0dHYtjY2Pv3r9//z1Op7PP5/MlKYqiOS309/frFEWByWQKPPnkk3O+/PLLbKfTmdze3m612Wwt995777937dqV0tDQMK+goKB92bJl7cXFxe1ms7lr//79OO200wAAOp3OaLVar6ytrX0kEAhM2NCOEMJnMBg8RqOxw2QyuWNjYzvMZrM7NTXVnZ6e3jnGFciPiOff0Wi8YWoNgLkA3oA6+Q0AXgFgA/Ay1GvyRyyj0dgAoCHSdYyW0+lMBID29vbKaF0bZMCw9a5wDcNqwR5qxx5qN5oeigqhB/A01KkIJ51/zPm1E/Xzg++mS8Gh85ssSUlJWQUFBXA4HPFut9sNoHcs5/b5fMJgMCj19fXmdevWHe90Om0ul8vm8XhSzz777OfPPffc7bW1tbMURXHNmTNnT05OjrO4uLjZ7XZ35ubmNvzoRz8aNAHc4/EMOr9erzelpaWho6Ojye/3j/VdbT6oq3wPnOwdurknapXvI+H5d7QaV5hSFKUfwHlCiNMArIQ6UbANwJuKorw5gfUREdEoiQohAPwVwFIApyjlyriDVLj3plu/fn3+jh07ClpaWmwul8vm9/uNd9999z0+n0934MCB/JSUFGd+fv7HOTk5zpKSkgYA+MEPfvDuRPzsEXgxwpICOIq2RaHx0bRop6Io7wB4Z4JqISKiIYIBaQaAbxh1xrPjDfHo9Ha+7Vf8bwN4D8AGpVxxBw9fC2AVgNOUcmXUl4nsdrsFg4NTaG86TfNLuru7Da+99tqchoaG9NbWVpvL5bIde+yxWy677LLNu3btynM4HNNTUlKchYWFVbm5uU4AyMvL67j55psf1fJzR6LT6aDT6Zr8fr8DQ5YWKCsr8xz+u4lGNt51pvIAJCqKsi342AR17ZI5UEenHp2wComIjjKiQugAfDN4+waAAgB79UL/9tqT1+KX7//ylU5v5wkArgMQKyrEZwD2AzgXwFlKufLxcOe12+06qCFp6NpNmt5Nt3fv3uTq6uriuLg4bNiw4RvNzc0Ja9eufUAIobz33nvLk5KSWlNSUpzFxcV7FixYUA0AZWVl72n5mYfRh8GjSq0A2oqLi70zZsz4dXFx8cO8REUTbbwjUw8B+AzqZHMAuB3AjwB8DuA7Qoh4RVEemID6iIiOKqJCpEFd42kZgDcB/BHAa0q5si+4N1rZeUXn3ZGdnd0hKkQMgOMAnAp1F4oLlXLlbQCw2+2ht/UPDE3pAIzjqSsQCOCjjz6aduDAAVtjY2N6a2urLTc3t+aqq67asHHjxtmff/75opKSEthsNldBQcFnPp9PFx8f77vnnnvu0dSQ4fVi5FW+h90eJ7SvHFE4jDdMlQL4EwAIIQwArgDwK0VR7hZC3AjgWgAMU0REYyAqxEkAngLQDKBEKVf2He54pVzpB7DJbrfvBPBvABl2u/1iqOHJinFcpuvo6IjZvn17Rm1tra2xsdHW1tZmu+aaa/6dk5PT+cQTT6zS6XQ+q9XqTEtLay4oKHAAwOWXX74pOTm5uqCgoGz//v0fut3uiXiDzkgb77aWlZV1H+4biSbbeMNUIoDQNfolwcdPBR9vAHCTxrqIiI6nnYfyAAAgAElEQVQawct6/wPgFqhLr/x8uH3y2tra9PHx8diyZcv8jo4OM74acYob689sbm6O27Nnj622ttbW1NRkM5vNXVdfffX7b7/99qxXXnnlgoSEhHar1epMT08/GIxuv/32ewbuOxeiYb2kgYFp0DvlGJhoKhlvmKoDcAKA9QAuALBDUZTQX7hkAPxLQEQ0CqJCpAL4f1DfgXepUq48DQB2uz0BQyaFGwyGaQUFBejq6job6tygr9XY2Bi/e/fu9Lq6OltTU5PtjDPO2DJ37tyWu+666/L29vZMs9ncbrVam9PS0loBYOXKlTtXrlx5S0JCgm/ouYYLUqPQg0OXFAhN+u4Zx/mIos54w9TfAdwshLgIwLEYvBffCVC3JZh0kiQ9CqBRluVfR+LnExENJSrEIgC/BrAQ6nZbncFbF4BOAXGKRWdxnWM+Z9WpCaf22e32SxFcu2nouUZaBDMQCKChocG8Z88eW11dnc3n8xlWr179wcaNG3Mfe+yxK4UQAbPZ3JacnNzc399vAIBrr732qfT09K64uLhBAWm4EDUKPSaTqSk5ORkej+djt9v9Ib4aYWJgoiPeeNeZuk0I4QCwCOrcqEcHfDkZwN/Gcj5Jkq4HsBpACYAXZFledZhjTwXwZ6j7A34O4GpZlidrt24iOoqJCjEdwPlQ32W3H8BLAN5RypWeIccJqJPCb4S6Ft+/AfxfnIgzZxuyM1L0KRlJ+qQ0s848LVWfuufY2GM3GYVx8df9/EAgAKfTiXfeeSe/pqbGOnfu3JqFCxc23n777RdWV1fPE0IELBZLS2ZmZh0AlJaWNlx//fUPFBcXtw0dVcrLyxvrO9q6MfIluZ7gXn7/m5+fv3X58uXbxnhuoilt3OtMKYryGIbZVVxRlB+O43QOADcDWAF1AdBhSZKUCuBFqG8HfhbADQBelCRptizL43k1RUR0WKJCFEOdznAh1BeQVVB3eigE8ByAgKgQb0INVv+BOgJ1Y7yIX5xlyFp3esLpVx4fd3wvvpoU7gNQH7wNKxAIoKamJmnfvn22lpaWpFWrVm09cOCA5Q9/+MN1Xq8XOp3uIovF0pKWluYG0Hjuueeu1+v1786YMaPdaDQGQucxm83ekpIS5xh+3YGX5A4JTGM4D9FRZdxhSggRA3VxuFOgbi/QBnUO1b+CK6SPmizLzwOAJEkLcJgwBfUftN2yLD8ePP4PAH4K9RXgWwMPlCQpFuqWCl0AvifLcvRtAU9EERccRZoLIPfEnBNPWF6wHI9WPnpTbUdtDNTFMmcD2A7geQDfB/C5Uq7uEC8qRHyciFuZrE++yCRMtyboEh5K0iX5CmIKts41zf1zij6lHUD+SD/b7/eL6urqpH379tnS0tI6Fy5c2PDwww+f9PHHHy/1+/0xer3el5iY6Lzwwgs/zc7O7pQk6eXzzjvvwu7u7j8KIQ5u1zJv3ryxBqahYYlzmIg0GO+inelQw8tcADUAGqG+GrsawC+EECsURWmesCq/Mg9AZeiBLMt+SZK+CH7+YJiSJCkJ6qvELwBcL8tyYOiJiIiCVgB4HUDXJ42ftBh1RngD3lioAep1AK8r5cqXAGC325MAzLTb7RkAMh7MejAT6ovJvYqi7G3yN2XEi/iuRH3ioLWOfD6fqKqqSq6qqrKtWLFit6Io4ne/+93Vbrfb5vf7jXq93nvcccetX7hwYcOCBQuqpk2b5iwqKnIWFBS49Hr9wW1MzjrrrD05OTmoqqpS/P7DzgXvxfAjTK0MTEQTb7wjU3+EuoruiYqifBj6pBBiCdRh7zugrj010cxQN5scyIXBEzUzoW6x8LIsy78NQw1wOBwmAKZwnDtMQv2xOByOiBYyEqvVmqDX6+H3+xNCm2lGGfZQu6jsYZwh7lyv3/tO5eWV38rPyC/V6/Xru7q67tiwYYOjq6srw+fzzXv00UdPCwQC6Xq9/rBLEKQr6e6qqiqrw+dInDt3buurr75a/NZbb53sdrtTA4GAwWAw9JeUlDyUm5vrWbhw4edpaWkdRUVFLbm5uR16vR4ATIsWLQoFH2DIPngGgyEmdC+E6BNCtOl0una9Xt9mMBja4+Li2tLS0toLCgpGCkxGh8MxrkU7vw6ff9qxh+EXrtXvxxumvgngZwODFAAoirI5uGjnXZorG14n1DWtBkoCMHBPpbOgzkkIVw0A8BsA5WE8f7jURbqAkbhcrtCH6yNZxyiwh9pFVQ9nJc6ClCvB3+l372jdgb6+Pni93ncsFgsslkPeUAcA8Pl8qK+vR0ZGBmJjY3H33Xdj+/btqK2thdfrxbJly3Duuedi5cqVsNlsyM/PR35+PtLS0mKEENcBwI033vi1tel0OsTExMBoNA66LyoqusFg0LS16oTj80879nBSaNpvciTj/dsYD3XoeDitwa+HwxcArgk9kCRJB/UdgGsHHPMI1Fdzb0qStEKW5TZMvLUIb1ibaBaoT/4cDA6eUcNqtZbq9fr1fr9/qcvlqvz675h07KF2Ee2h0+k01NTUpAVHm9L9fr/N7XXn5/Tn/MrYYHx0S8uWxsTExIzc3NwrHQ7HIx0dHU29vb16p9MZN3369M7Kysr0l1566cT29va0jo6OFEVRdFdeeeU/TzrppLr29vbFubm5/pNOOqllxowZLVlZWV1VVVXQ6/U47rjjAAAejwcez6G/thDCK4Ro1+l07Tqdrs1gMLTHxsa2JScntxcXFw/dGiVqn4d8/mnHHk5d4w1TWwH8RAjxmqIoBy/cCyH0AH4S/PqoSZJkCNZiAKALTh73DzNp/HkAd0iSdEnw459C/QMdtGGmLMs3SJJ0D4A3goFq6KVBTbKzs/swygXzosGA4VhPtG7w6fV6uwBAp9N1RWON7KF2k9lDu91uhbrgZegWmts06FXpgb4DRXroe+N74us7ejpgNpu9zz33HF544YXTGhsbLV1dXSlWq7XxtttuswshemJjYz2lpaVV06dPdxYXFzszMjK6/H4/Lr/88vcHnldRFAyZ0+THocsKhO47ysrKFIxCND8P+fzTjj2cusYbpm4E8AaAKiHEv6FOQM8A8K3g/coxnu+3GHzZ7CKoKwKvliSpE8BZsiy/L8tyqyRJ34K6ztTDUNeZOm+4ZRFkWf6pJEn34atA5Rp6DBFNbcHNfNMxODilA4gd7vje3l59bGysv76+3vziiy8uae5pLulo6dC92PbijWedddYLV1xxRUtnZyesVmtnTk7O9pycHOfMmTOdADB37tyWuXPn/ucw5QSgzuEMBaXQrQ2Aa7SBiYimnvEu2vm+EOIkqHvwXQJ1oc42qPvy3aIoyidjOZ8sy2sArBnha+Yhj9+F+i7C4Y5dPeTxj8dSBxFFJ7vdLqCOLGVicHgadjPfQCAAnU6Hd999t2D79u1Fra2ttvb29vRAIGC4995771QUBU1NTdnxRfGxecV5u2amztw6b968RgCpq1evxqmnnvrBCJv1KlBHw4eGpVYA7WVlZePZboWIpjgti3ZuhbruExHRhBmwJ11olCkDgA3AsO9C6+7uNqxbt66ksbHR1traanO73bbS0tItq1ev/qCqqmqa0+nMSE1Ndc6ZM2fX9OnTnYFAADk5OZ0/+d1PXt7YvfHH/xX3X++lGdIGza3U6/U9AA5gcFgKrcXENeuIaJDoejsIER017Ha7EWpIGhia0qEugXKIL7/8MqWysjI/FJo6OjrSbr311j8ZDIbAhx9+eHJiYmKrzWZrKikp+WL+/PkHAOCqq67aAHXE/BC13trp3YHu9hR9ynoEw1JJSUlWQUFB2bHHHvuY0Wgc0wg7ER29Rh2mhBDyGM6rKIpy3jjqIaIjTOgSndVqLZg9ezY+/fTT8/v6+hIxzIRwANi4cWNubW2trampydba2mqbPn36ge9///vvffTRR8WffPLJYqvV6szIyGhYsGDB54qiiJiYGP+dd975pxF+vB/q2nStQ28PtD/wEIB/v/WLt54NHez1evkCk4jGbCz/cCRCnS9ARDQsu91uwVcjTKHRpjQARo/HY2ptbYXP55vd3t6Obdu2ZdXV1dmamppsbW1ttmuuueaFvLy8jmefffZ8nU7nT05OdmZlZdXPnDnzAABcdtllmy+77LLNI/zoDhwamFqgTvw+ZAcEUSF0AJZDfUcwEZEmow5TiqIsC2MdRDSF2O32OAy+RBe6DVohvL6+3rxnzx5bXV2draWlJXPRokVYunQpNmzYMGPdunUXmM3mtuTk5OacnJwavV4fAIA77rjjPoPBMNwLtz4MDkoHg1NZWdmY9gOFuj5dGobs6UlENB5jucxXCHU5hB8rirJuhGPOBnAfgG8qirqXFRFNXXa7PQZqaEofcju4NHggEEBtbW3ivn37bHV1dTan02lbuXLl5vnz5zfff//9q1wuV6bZbG5NTU1tTUlJAQCsWLFi18qVK2+NjY0d+u63gMFgcOGrsHQwNJWVlU3kIoErAGxXypXGCTwnER2lxnKZ7+cA9o8UpABAUZR1Qoj/Dh5bprU4IpocwcngaVCD0sDwlITgvKZAIICampqkffv22err621er9d4zTXXrN+8efP0Rx999CqdTue3WCwtycnJTr/frwOAH//4x0+mpaX1GI3GgF6vNxUWFs6pqqpCXFxcJwYHptDHbZO0vMByAG9Ows8hoqPAWMLU2VAX1/w6/wBw8/jKIaKRiAoxE4BbKVeaxnsOu91ugBqaQoEpdJ+MYGjy+/2iuro6ad++fTaHw2GbO3du9aJFixy33377hdXV1fP0er3PYrE4MzIy6gGgtLS04ec///mfCgsL24dcngtkZWXVIhiW4uPje3Jzc39tMBjuPeWUUyI2IiQqRAyAUwH8JVI1ENGRZSxhKgtA9SiOqwGQPa5qiGhYokKsBvBXAJ2iQlyllCuHfXftkNA0MDglA9ABgM/nE1VVVclVVVW2lpYW62WXXba5rq7OfOutt/7E7/cb9Hq9NykpyZmRkdEGwHH++ee/azAY3i4oKHDp9fqDoSk+Pr5r5syZNfhqhCl0GzTK5HA4EgGgqKioe6L6Mk5LAJgwZBsqIqLxGkuY8kD9B/nrpIMbIBJNCFEhjADuBPBDqO88swF4XlSIBwH8z4NZD/qCn0srLCxcNH36dHzxxRerAJyDYGjyer26vXv3Ju/fv9+WlpbmWbx4cf3DDz988kcffbQsEAjoDQZDX1JSkrO3t/fjrKysrgsuuOBfRUVFzry8PLdOpztYy+zZs6sBODEkNJWVlU21PbpWANiilCtTrW4iilJjCVMfQd065vmvOe6S4LFEUUFUiO9D3a7oSqVceT3C5YyaqBDpAJ4GMDtFn/KNtelr9wBI29i90b2vf99NifrECxp9jS9kGjKbAcDhcExraWnBunXrFixZsuRDnU6n3HTTTWUdHR22QCCgNxqNvQsXLtxYuLCwJ+uErASpSHr5mPxjqqZPn94xIDQFVqxYsRlqUHIOvC8rK5sym3t/Dc6XIqIJNZYw9ScALwshfg9gjaIogyaJCiH0UDcrvgDqq+IjltfrzYJ62XNKSE5OTvB4PLBYLKWhXcmj0OzQvdc7Mbt17G3bG3PG42f8UkCckxaftr6lu+Wl8586/xdPX/j0sCtiH85k9bClpSWuubk5+YUvXzj2uLjjfpZqSO26MPNCOUmfdHHomNNNp+uy9mRt2NG347itmVvLvF9492yWN2e4XC5rIBBAXFzcqSUlJc68vLzO5cuX78rIyPi4uLi4PcmW5Nvq3rrww54PrzPkGbraprUt2Wrcusub4P3P+cXnf5iWmtaenZ3tjomJGbgukw7BrV20/rmMtYe/eutXs57f9fx5DZ0NSwusBevevfxde2p8qqbJ6Vvqt8QDWHJ5yeWPer3ehcMcMuHPw4kU5X+X2Tvt2MMwC9fOBkJRRr8OpxDiZgA3AmiE+squFupCnrlQh84zANyqKMr/Tnyp0cPr9a6BGhwpStV21OLi5y5GU1cTnrrgKSzKXoRbN9yKWzbcgifOfwLnzYrcAv2KoqC/vx+9vb0Hb319feq9tw/bmrbh1apXMStpFmYbZiM/Nx/x8fG49dZb8dlnn6Gurg5+vx8rVqzAd378Hfzr/X+hp7YHC2YvwIklJ2LGtBkQQl1YXKfTIcYUgw8bP8RD2x6CMAr88pRf4tw552Jr41bct+U+PLfrOcxJm4MfL/oxLp57MWINsRHrTWt3K57c/iQerXwUnzd/jlNzT8XKwpW4Z/M9KE4txmPnPYa8pLxxn/8/e/+D777wXTT9rAkmg2kCKyeiqcBoNB6y68JEGFOYAgAhxDcA/A+AEwGE/tXthbr/1Z2Korw2oRVGoak2MuXz+RI8Hs96i8Wy1GAwROuridkAHgdwKYBdWk50xYtXLHpm5zO3mY3mPQ+d89Cvz5t1niv0tUV/W/S9yubK684oPOOml1e9POpLPePpYU9Pj8HhcFhdLpe1q6vL2tvba+3v77d6vd4kRVEOjgp3dnUatjm25fYk9+Ts3re7aNdruwxdDV19na5Ok6Io4vrrr3/p5JNPbnjsscfmGo3GQG5ubvvMmTNdNputFwDavG2W7Z7tM/b37S+q761PgR5tCaaE9+dmzX2rV9fb8/yXz9/Q4+vJLbGV/O2Zbz/zZL41f9BL3kc+eyT9jx/+8TtV7VUXCiF8357z7RsfO++xCb9UP1IPH/j4gaxndj6zaHfr7pNbuluWGvXG1gJrwctXL7j6pZ8u+WkdAPxz2z/Tbnj9hps9/Z45ywuW/34sf3YDzXpg1s9dva6Cphuarh/hkAl7HoZDlP9dZu+0Yw/DLCpGpgZ9o3pZLxXq26lbhl72o+gRfBeVG0BSdnZ2VE66DV5y2QrguPE+2UWFEFDXOLsNwF0AblTKFd8wx/0E6qTu7ynlyhOjOXeoh7WeWusJT53QqZR/9XwPbqGSNuSWGlACVnfAneQJeJIEhNLt6dYbdAZ/gjmh/9XnXp1bvbc6z+12Z3R3dJsSMxNx9i/O3iMcouqzVz5LzszIbJo+fbpz5syZzrS0tN4BpfQBaIY6jyl0ay4rK+vwer0L97v2b/3uC9+9Y2vD1oVQ3/6vB/AIgJu+boFKUSESAPwO6kT3y5Vy5enR9Ga0Qj380Vs/Kn6x6sVFUOcunQ6gAIAD6mj34wDeGtjfAfXpAfwCwO+h/k4/U8qVMf2DLirE5wAeU8qVPw739Yl4HoZTNP9dZu+0Yw+nrnFv6hkMT80TWAvRuAX/o/0LgO8CuEQpV54Z6VilXLlXVIh+AI+JCmFUypX/d5jzxgNYbDVal5+QfgI+b/q8tjimOH7J7UtaUvQp7an6VI9ZZ/bE6+JdOuh8nYHOtI7eDpvP6Etzu91pe9/da/Q0edDZ1IkeVw8WrFqAnONz4Ip3Ia4gDllpWe3ZadlbF+Yv/GhawjQXioFTi08F1NB0MCxhQGg6XB8KrAXYdOWmp4xG4y9FhbACSFbKlf2j6WEwmPxKVIh6AE+ICmFTypU/j+Z7R8PV54J9mx0vVr24B+rE9ncA/AHA2wD2KOWHf2UXDFi3iQrxLoAnAHwsKsT9UKcb1AVvLUq5cshefAAgKkQG1G1kuIUMEU0o7pBOU15wEcZ/QB3pOFUpV7Z+3fco5cpfgoHqYVEh7oS6Ua47XsR3WvXWvmR9stckTAVL4pbMMAuzSDGkNB5jOgbzk+e/YQgYPJ1Kp7XL15XcL/qt27dtz3N86bB6mjwGT6NHCfgCuGrtVW+n6FM6vtj/xcLM5ExH5qJMZ25ebmvxrOLW+IR4f+DsgA6AEqc7uBJ484CbE4C7rKxM08biSrniAuD62gMP/b77RIVoAfBo8B2Fa4YLOqJCmACcCaD+63ouKoTRpDc9YNAZkJWQdXFDV8OzI4WeUdT3oagQx0INYj8EkAPAGvxyfzAMugD4g7dA8N4CdZX1yvH8XCKikTBM0ZQWHDl6FkApgKVKubLj674nuN9c6oNZD27e0rPl+31K36wYEZNuhDEVgNkHX5xP8VljRWx9qiF1U5YhyyF8wrj3k72/ePPNN/OcTmeK2+22zZ8/f/PVV1/9wr6d+/6rr6YvLzst25l1UpYzLy/PWWoqbdBl6rDwtwu/CP5YP9T/yJuH3Nq1hqZwUMqVJ0SFaAXwHIAMUSGuU8oVv6gQOgAnAbgMwHcAxACIFRXiL1Avqx4yciYqhBnAs/3+/gWyJGNe2rxXs7OzxxWkBtTnBvCDIT9jGtRgNR1AItRLnLoh95XjDXFERCNhmKIpS1SIJAAvQf1P9OSBl7PsdrsO6mhF6oBbWvDeguDWKYvjFgNAD9SV+2t27tyZ+sknnxQ2Nzfb2traCt1u95Jbb7313oSEhIAsy/D7/ebs7Oza44477pN58+bVAcAVV1yxCcCm4I9WoI6KhMJSU/C+dZL2nJswSrnymqgQpwP4DwCbqBA7oU6MnQ7gdQDXAXgRwGIADwL4lqgQ1yvlyr9D5wheWlsHwLx02tIV89LmbQtTrZ0AvgzeiIgmFcMUTUmiQqQBeC1WxMadbzn/4mUJy5LtdvsMfBWcUqCORAzrvffeK6itrU0PhibbtGnTaq699tq3Kysr8z/99NPFycnJzdOnT69ZvHjxx0IIxWAwKH/7299QVVX1gt/vDy1e2YWvwlIoODnLysr6w/rLTyKlXNkiKsTJAF4AkAfgXgBPDtkf8B1RIeYDuAnAM6JCyAD+G4AZwKsAGgCc+cQ3n4i+hXOIiCYAwxRFPbvdbsKAEaY6b13x8vjlFRa9xbc0fumTCbqEYReJbWlpia2srJxWX19vC4Wma6655vnCwkKXLMtn63Q6f3JysjMvL68quFUKVq1atXXVqlVD5//063Q6T1JSEuLi4t7o7OzcD3Uy+JR8a/BYKeXKLgBzvuaYXgD/KyrEvwA8BGAnAC+A9wF8VylXekJ78xERHWkYpigq9Pf36wKBAHbt2pX/6aefxmHwCJMldFxfoC9mZ9/Oq9IMab0nxp34RKwutr+6ujpx79696cHQlB4fH9913XXXvblly5b8l1566UKLxdKakpLSXFRUtMdkMvkA4I477rh/4L5zQQqANqgjTKERpyYA7WeeeaYFwH2ZmZkf8y3BI1PKlS9EhTgJ6nymTAD/N9wyB0RERxKGKZo0wXlMSRg8jykFQKrVap2dn5+P/fv3nwn1stAgfr9f7KvaZ93cvPmCNmebpXdPr9O63JqycOHCxoceeujb7e3tmYmJiS1Wq9Vps9naAGDFihW7zzjjjFsNBsMhE7x1Ot3AS3Sh8OQsKysb9lKUw+GYmCYcBYITvP8S6TqIiCbLERWmJElaA2C2LMurIl1LNDrxqRNPqfHU3AxgO4DblXJlwicD2+12AXUk6WBQGnBLxgjzmBRF0QGAz+cTu3fvTtm3b5/N4XDYvF6v8Yc//OE7W7duzf773/9+jT5Gj8TExKaUpBR/aMuUn/70p0+mpKT06vX6QaEpuMecD+rSA00Db2VlZZ0T/bsTEdHRKSrClCRJVgB2AGdBXe/nFlmWHxjh2OsB3ADABqAKwK9kWX51smqdiv6585+xe117UeOpkQH8DepE4s9FhVgH4DalXBnzxr92u92Mr8LSwNCUAsD4dd/f39+v27t3b8r+/fttDQ0NtpNOOqmjoKAAt9xyy2k7d+6cYTAY+pKSkpzp6ekOAIifE5+6/KblyvEZx/+z0FRYNfBcNputJ/ihG4deomspKyvjW+GJiChsoiJMAbgfai3ZAGYAeFOSpJ2yLL8z8CBJkv4LwO0ATgPwEYBvA3hOkqTpsiy3TXLNU4KoEMfphO7xzPhM5Fnyzqu+ofrl4OePBfArAO+JCrEJ6hYsrwzZJiUehwam0P2odont7e3V79mzJ6W6utrW0tKSfOWVV25saGhIqKiouEFRFJ3RaOxNSkpyzp07dwcAXHbZZR91d3fLOTk5ntCcpnpv/bRqVEuz02e/GgxSXgy+PBcabeoZoQwiIqKwiXiYkiQpAcBFAI6VZdkD4FNJkh4FcBXU7SYGKgSwXZblLcHHz0iS9HDw84PClCRJOgAPAJgFQAqe+6ghKoQBwG8A/M6oMz7z1rffmpUYk7g+9HWlXPkUwKrsW7L/T1GUX+uF/vkEXYJu8e2L26x6a0eyPrnLrDN3m4SpwyiMvVAnZw+SIBLc+TH5+wGgp6dHv2fPntTq6mpbWlpax4knnlj78MMPn7xly5bTFEXRxcTE9CQlJTX39PR8mJGR0XXJJZf8c8aMGc6srKxOnU6HpKSkLAAoKiryuN3ug39Wrb5W5fWu178N4JWzzGf9GkAjgLZoXOiSiIiOThEPUwBmAhCyLA9cufozqJfyhloH4BeSJJ0IYDOAi6GGqO0DD5IkKQbqhqlGAGfJstw79ERHGlEhjFB7WRK8fRPqatAXf/DND96LCcRcsmHDhtkulysW6uhSCoDUNbY1CQCqOgOd97T6W9O7A92WXqU3sS/Ql9gb6LV6FE+uH/7Y0M/x9fvgafLoOxo79BkLMuLr++s/+/f//Xt6h7sjDYAwmUxdCxYs2HTiiSfWLlmyZFdxcXFtcXGxMzMzs3tgvaeeeuqg/eKEEN74+HgkJSXtcLvdmwA0PdvxbMcbXW+8AfX5cMGmX27iOkVERBR1oiFMmaHOkxrIhQFvhx+gA8DTAN6Fuj1ED4ALZVkeeHnHDDV01QO4WpblCX9btsPhMGGUl7nC4Sfv/iRtc+PmEnefe16vv7fEF/DN1UM/M0GXEGPRWdpsBlt1ljGr9nTL6U+l6FPmbNu27aTc3Fz09PRcrNfrh11QMkmf5E8yJjUg+E46j8dj3L1ndyoAHHfccY2vvPJK8WuvvXZ6Z2dnMgDExsZ2Li5c/EJjauOKWd+cJWYkzHhpftH8KpvNFgqupvnz53sAhEaZDvZLCOHW6/XNrYHWztfdr+dt69k2B12giEsAACAASURBVB7klfaXYnP95ivcfe7LFSjxiqKkCoiuS2dfeuHtp9we53A44sLV01EIPR8t0frOPqvVmqDX6+H3+xOcTmc0runEHmoXtT1k77RjD8MvXEvbREOY6oS6j9ZASfjqP+GBvh+8LQCwC8AJAF6QJOlMWZY/Cx6zGEACgJJwBKmg3wAoD9O5D1IUBXWddah0VmJb6zbsbNmJ/e370dPXA6vBigVJC1BkLsK0uGmwmWxIi0tDvCE+NOq0EMC5A8+Xm5t7yGhfd3c3ampqkJubi4SEBPzhD39AZWUlGhsboSgKTj/9dFx00UU455xzkJ+fj7y8POTl5cFisZgBXNjr78UbSW+guqNaMk83ozC18OC5dTodYmJiYDKZYDKZoDPqsMO9A+83vI/369/HZ87PEGeIwwmZJyDXkot4Yzzmzp17bJwhDvGGeMQb43Fy9snITMisDm+nx6Qu0gWMxOU6uKfx+sMdFwXYQ+2irofsnXbs4aQQ4ThpNISp3QAUSZLmyLK8M/i5BQC+GObYEgDrBlwS/ECSpI8BrIB6KQgA3oa6T9rbkiQtk2W5Ogw1rwVw10Sf9PWa141rNq75hs6vO0EExHEGGObGitjERF1il81gaygwFLQuiFvQnGpJbUo1pLbpoQ/AC8AL+OBDIxqHPa/BYIhJSUm54cMPP3y4sLCwubKyMv35559f1t7entbd3Z0IAN/73veeWLp06QGfz7dg/vz5gXPOOafl/7d3/3FyVfX9x18nmyHYZMlGpMiIkWINIEjgoUUrNQVL+yiVHq019gfWb2JraktrrdofKBIUeYjaWlsUEduHqUp/INV6sNIKgo0Gf7VArPwQkdaUbsAFsmETQpjd3O8fd1bGyWyyyZm7M5O8no9HHrtz75mTcz9Mhvece+7c44477sGRkZHH7723vHjuhBPKL8EeGxtjbGzsB/2fyInsmL/jxE/c+4mz5//3/C/98pG//I6hJw09cMXmK466/9H7n7NjcsfJjV2Nk6eKqROBQ4bC0DcOnX/oF3/ssB+78Z2nv/M/VzxtxeTIyMjyoaGh9VNTUyvGx8c3dru2XTBM+QZyNJ2Dfs9Zw3zWcP9Zu3zWcHD1PEyllLbHGK8BLo4xrqZcTL6K8o707b4GvD3GuCyldHeM8TTghcD72/r8y+YC9Juagep73RxzvV7fCezca8N9tPojq2svXfTSDx96yKFji+YtGl08b/Hnj5h/xOiSeUu2TH+n0g9MwRS7T7w9+OCDh9ZqtV2LFy9+/OMf//jz77nnnmVbt249YseOHSxevDi+5z3v+eCTnvSkicMPP3zziSee+M2lS5eOHXfccQ8edthhj09NTbFy5cqv/dBfM7Xb3zEFjFFeQXf/9M8P/f6HHm1eIfiPG/57w6cpZxvnAd+hDLqfAt4G3Dx54eRu06yNRmM7lF+m2Y/fMN4ypT3Rj+MDa9gN1nD/Wbt81nBw9TxMNZ1HeT+vzZTroi5MKd0YY1wK3AE8O6W0CfgEZdj6fIzxcMr/kb89pXR9e4cppb9oC1Sb5upg9lextmh8+MMf/rPdglMH4+PjC0ZGRnaOjo4uvPrqq1c8/PDDR4yPjx+xc+fORWeddVZauXLlrSGE4sgjjxx93vOed/s555zzi4899tg6gGc+85nj55133g2zGNKjPBGapoPT2Jo1azqePi3WFreGt4fnAr9E+R1gG4u1hZ9eJEkHtL4IUymlccqvR2jfvolyQfn04wJ4e/NPp34uanv858Cfd3OsVWsNUrt27WJycnLeIYccsuuGG2748f/6r/9a9vDDDx+xdevWI6ampuZfdtlll9ZqtV3btm0brtfr//vc5z73lmOOOWbsWc961kMAr3rVq74OMDQ0tODYY4/9xXvvvXeyw0wTPHFPutbQdP+aNWv2+ZNHMzx9bJ8PXJKkAdUXYUqlEMKCF73oRc///ve/f8RDDz10xNatW49Yvnz5V1/72teuf+CBB5786KOPLnz605/+vdNOO+0/jjnmmO9D+e3fF1xwwdX78Nc8TtspOsovvPRrByRJ2g+Gqf7SuP32208eHh7ecswxx3y3Xq9/9dnPfvYowLnnnvt14Ot7eX67rcADCxYseKRer7Nz584rNm3atMkvvJQkqXsMU32kKIpdV1555Uf246nti8LvpzxNtwNgdHT0MICTTz55y8///M8bpCRJ6iLD1ODZQVtoYg+LwiVJUrUMU/2roPwm+NbQdP+aNWu29nRUkiTphxim+s/neGJReNe/y0qSJHWXYarPrFmzZl8XmUuSpB6a1+sBSJIkDTLDlCRJUgbDlCRJUgbDlCRJUgYXoO+HRqNxFHBUr8cxW0uWLFk4MTHB8PDw8um7kveh46d/Nhr9d2cba5jPGubr8xpau3zWsGK1Wu2WKvoNReEXYu+rRqNxEbC21+OQJEmzV6vVQhX9Gqb2w6DNTE1OTi6cmJhYPzw8vGL+/Pn9+mnieOAq4Fzgrh6PZTfWMJ81zNfnNbR2+axhxaqamfI0336o1Wqbgc29HsdsjY2NHQawZcuWjfV6/ZFej6eTlintu6p6seewhvmsYb5+rqG1y2cNB5cL0CVJkjIYpiRJkjIYpiRJkjIYpiRJkjIYpiRJkjIYpiRJkjIYpiRJkjIYpiRJkjIcUGEqxrguxnhpr8chSZIOHn3xDegxxhHgSuBs4BHgkpTS5TO0fTLwF0CkDIP/kVL6mbkaqyRJUqt+mZn6AGWwqwPnABfHGM+coe2ngK3AjwGHA38yJyOUJEnqoOczUzHGhcBK4NSU0gRwa4xxHfAa4Ka2tmdRhqifSSlNNTf/xwz9HgpcDWwHXp1SanRqJ0mSlKMfZqaWASGldEfLttuAkzq0/Ung28DfxhgfijHeFmN8aXujGONi4PPAfcC5BilJklSVns9MAYso10m1GgeGO7R9OvCzwO8Aq4GzgH+KMZ6SUrq72eapwL8Dn00pXVDFgEdHRxcAC6rouyLTtRweHR3t6UBmMjIysnBoaIipqamF03cm7zPWMJ81zNe3NbR2+axh9er1enve6Ip+CFPbgPYXzWJgokPbR4H7UkpXNB9fF2PcQBmwpsPU2cAk8L4KxjrtfGBthf1X5b5eD2Am4+Pj07+u7+U4ZsEa5rOG+fquhtYunzWcE6GKTvshTN0NFDHGE1JKdza3nQJ8q0PbbwIv30t/HwUOAW6IMZ6VUnq4e0P9gXdRbVjrtmHKF//RdA6pPTcyMrJ8aGho/dTU1Irx8fGNvR5PB9YwnzXM17c1tHb5rOHg6nmYSiltjzFeQ3kF32rgWGAV8MoOzT8NvDfG+FuUoenFlOuofqetzzfGGN8PXN8MVFu6OeZ6vb4T2NnNPqvUMh07UdUUZ65Go7EdYN68edv7cYzWMJ81zNfPNbR2+azh4OqHBegA5wEFsBm4DrgwpXRjjHFpjHFbjHEpQDMU/WKz/SOUs0O/klK6p73DlNIbgA2UgWpkjo5DkiQdZHo+MwWQUhqn/HqE9u2bKBeot267GTh1hn5WtT1+ffdGKUmStLt+mZmSJEkaSIYpSZKkDIYpSZKkDIYpSZKkDIYpSZKkDIYpSZKkDIYpSZKkDIYpSZKkDIYpSZKkDIYpSZKkDH1xO5lB02g0jgKO6vU4ZmvJkiULJyYmGB4eXj59I80+dPz0z0aj0dOBdGIN81nDfH1eQ2uXzxpWrFar3VJFv6Eoiir6PaA1Go2LgLW9HockSZq9Wq0WqujXMLUfBm1manJycuHExMT64eHhFfPnz+/XTxPHA1cB5wJ39Xgsu7GG+axhvj6vobXLZw0rVtXMlKf59kOtVtsMbO71OGZrbGzsMIAtW7ZsrNfrj/R6PJ20TGnfVdWLPYc1zGcN8/VzDa1dPms4uFyALkmSlMEwJUmSlMEwJUmSlMEwJUmSlMEwJUmSlMEwJUmSlMEwJUmSlMEwJUmSlOGAClMxxnUxxkt7PQ5JknTw6ItvQI8xjgBXAmcDjwCXpJQu38tzLqK8P97ZKaV/rXyQkiRJHfTLzNQHKINdHTgHuDjGeOZMjWOMy4CXM0C3dJEkSQemns9MxRgXAiuBU1NKE8CtMcZ1wGuAm2Z42hXAm4CP7KHfQ4Grge3Aq1NKjZnaSpIk7a9+mJlaBoSU0h0t224DTurUOMa4ChhLKV0/U4cxxsXA54H7gHMNUpIkqSo9n5kCFlGuk2o1Dgy3N4wxHg5cCPzUHvp7KvDvwGdTShd0a5CtRkdHFwALqui7ItO1HB4dHe3pQGYyMjKycGhoiKmpqYXTdybvM9YwnzXM17c1tHb5rGH16vV6e97oin4IU9uA9hfNYmCiQ9v3ApellPb0X/FsYBJ4X3eG19H5lIvfB819vR7ATMbHx6d/Xd/LccyCNcxnDfP1XQ2tXT5rOCdCFZ32Q5i6GyhijCeklO5sbjsF+FaHti8GXhZjfGvz8RLgH2OMl7XMQn0UOAS4IcZ4Vkrp4QrG/C6qDWvdNkz54j+aziG150ZGRpYPDQ2tn5qaWjE+Pr6x1+PpwBrms4b5+raG1i6fNRxcPQ9TKaXtMcZrKK/gWw0cC6wCXtmh+Qv44TF/hXKW6Nq2Pt8YY3w/cH0zUG3p5pjr9fpOYGc3+6xSy3TsRFVTnLkajcZ2gHnz5m3vxzFaw3zWMF8/19Da5bOGg6vnYarpPMor8zZTrp+6MKV0Y4xxKXAH8OyU0qaU0v2tT4oxTgEPppS2tneYUnpDjPGveCJQjbe3kSRJytUXYaoZdFZ22L6JcoH6TM87pu3xqrbHr+/OCCVJkjrrh69GkCRJGliGKUmSpAyGKUmSpAyGKUmSpAyGKUmSpAyGKUmSpAyGKUmSpAyGKUmSpAyGKUmSpAyGKUmSpAyGKUmSpAx9cW++QdNoNI4Cjur1OGZryZIlCycmJhgeHl4+fVfyPnT89M9Go9HTgXRiDfNZw3x9XkNrl88aVqxWq91SRb+hKIoq+j2gNRqNi4C1vR6HJEmavVqtFqro1zC1HwZtZmpycnLhxMTE+uHh4RXz58/v108TxwNXAecCd/V4LLuxhvmsYb4+r6G1y2cNK1bVzJSn+fZDrVbbDGzu9Thma2xs7DCALVu2bKzX64/0ejydtExp31XViz2HNcxnDfP1cw2tXT5rOLhcgC5JkpTBMCVJkpTBMCVJkpTBMCVJkpTBMCVJkpTBMCVJkpTBMCVJkpTBMCVJkpThgApTMcZ1McZLez0OSZJ08OiLb0CPMY4AVwJnA48Al6SULu/Q7iXAnwLPAR4HvgC8IaX0wBwOV5Ik6Qf6ZWbqA5TBrg6cA1wcYzyzQ7vFwKXA04BjgSlg3RyNUZIkaTc9n5mKMS4EVgKnppQmgFtjjOuA1wA3tbZNKf1d23P/inJ2qlO/hwJXA9uBV6eUGp3aSZIk5eiHmallQEgp3dGy7TbgpFk896eBb7VvjDEuBj4P3Aeca5CSJElV6fnMFLCIcp1Uq3FgeE9PijGeBrwVeEnbrqcC/w58NqV0QbcG2Wp0dHQBsKCKvisyXcvh0dHRng5kJiMjIwuHhoaYmppaOH1n8j5jDfNZw3x9W0Nrl88aVq9er7fnja7ohzC1DWh/0SwGJmZ6QozxZCABv5VS2tC2+2xgEnhfNwfZ5nxgbYX9V+W+Xg9gJuPj49O/ru/lOGbBGuazhvn6robWLp81nBOhik77IUzdDRQxxhNSSnc2t51Ch9N3ADHGkyhP4b0ppXRNhyYfBQ4BbogxnpVSeriCMb+LasNatw1TvviPZg8htZdGRkaWDw0NrZ+amloxPj6+sdfj6cAa5rOG+fq2htYunzUcXD0PUyml7THGayiv4FtNeZXeKuCV7W1jjCcCNwDnp5Su2kOfb4wxvh+4vhmotnRzzPV6fSews5t9VqllOnaiqinOXI1GYzvAvHnztvfjGK1hPmuYr59raO3yWcPB1Q8L0AHOAwpgM3AdcGFK6cYY49IY47YY49JmuzcDPwpc1ty+Lca4rVOHKaU3ABsoA9XIHByDJEk6CPV8ZgogpTRO+fUI7ds3US5Qn368Gli9h35WtT1+ffdGKUmStLt+mZmSJEkaSIYpSZKkDIYpSZKkDIYpSZKkDIYpSZKkDIYpSZKkDIYpSZKkDIYpSZKkDIYpSZKkDIYpSZKkDIYpSZKkDH1xb75B02g0jgKO6vU4ZmvJkiULJyYmGB4eXj59V/I+dPz0z0aj0dOBdGIN81nDfH1eQ2uXzxpWrFar3VJFv6Eoiir6PaA1Go2LgLW9HockSZq9Wq0WqujXMLUfBm1manJycuHExMT64eHhFfPnz+/XTxPHA1cB5wJ39Xgsu7GG+axhvj6vobXLZw0rVtXMlKf59kOtVtsMbO71OGZrbGzsMIAtW7ZsrNfrj/R6PJ20TGnfVdWLPYc1zGcN8/VzDa1dPms4uFyALkmSlMEwJUmSlMEwJUmSlMEwJUmSlMEwJUmSlMEwJUmSlMEwJUmSlOGAClMxxi/GGF/X63FIkqSDR198aWeMcQS4EjgbeAS4JKV0+QxtXwG8BzgS2ACsTin931yNVZIkqVW/zEx9gDLY1YFzgItjjGe2N4oxHg98FFgDPAX4DvB3czhOSZKkH9LzmakY40JgJXBqSmkCuDXGuA54DXBTW/PfAK5LKd3QfO7bgAdijM9MKX23rd8nA58Dvgz8UUrJmxBKkqSu64eZqWVASCnd0bLtNuCkDm1PAjZOP0gpPQxsam8bYzwa+FLZJL3ZICVJkqrS85kpYBHlOqlW48DwDG237qXtccAfA5emlK7s1iBbjY6OLgAWVNF3RabrMzw6OtrTgcxkZGRk4dDQEFNTUwunb6bZZ6xhPmuYr29raO3yWcPqVXWD5n4IU9uA9hfNYmBiP9v+OjAKfKxbA+zgfGBthf1X5b5eD2Am4+Pj07+u7+U4ZsEa5rOG+fquhtYunzWcE6GKTvshTN0NFDHGE1JKdza3nQJ8q0PbbwHLpx/EGJcAS9vaXgysAP45xviylNJjFYz5XcD7Kui3KsOUL/6j6RxSe25kZGT50NDQ+qmpqRXj4+Mb9/6MOWcN81nDfH1bQ2uXzxoOrp6HqZTS9hjjNZRX8K0GjgVWAa/s0PwTwNdijC8GvgK8A/hK2+LzScrZqX8APt0MVDu7OeZ6vb4T6GqfVWqZjp2oaoozV6PR2A4wb9687f04RmuYzxrm6+caWrt81nBw9cMCdIDzgALYDFwHXJhSujHGuDTGuC3GuBSgOXP1m8BfAw9Rro/69fbOUkqTwK8CO4BPxRgHaX2TJEkaID2fmQJIKY1Tfj1C+/ZNlIvOW7d9EvjkDP2c0fL7JPDyrg5UkiSpTb/MTEmSJA0kw5QkSVIGw5QkSVIGw5QkSVIGw5QkSVIGw5QkSVIGw5QkSVIGw5QkSVIGw5QkSVIGw5QkSVIGw5QkSVKGvrg336BpNBpHAUf1ehyztWTJkoUTExMMDw8vn74reR86fvpno9Ho6UA6sYb5rGG+Pq+htctnDStWq9VuqaLfUBRFFf1KkiQdFDzNJ0mSlMEwJUmSlMEwJUmSlMEwJUmSlMEwJUmSlMEwJUmSlMEwJUmSlMEwJUmSlMEwJUmSlMEwJUmSlMEwJUmSlMEwJUmSlMEwJUmSlMEwJUmSlMEwJUmSlMEwJUmSlMEwJUmSlMEwJUmSlMEwJUmSlMEwJUmSlGF+rweg2Ykx/h6wCngO8OmU0q82ty8CPgc8GzgEuBdYm1L6zB76GgGuBM4GHgEuSSld3tx3LPD3wLMow/YdwB+nlL5czZHNnbmqYXP/ocC7gV8DDgW+A5yRUpro/pHNnTmu4W8AFwBPA24BXptS+nYFhzVnuly/jn019y0D3gP8JLAA+CbwppTSN7p/VHNnT8fc0uYM4Cbg3SmlP91DX74PVljD5v4D8n2wE2emBsco8E7gI23bdwKvA45MKR0G/C7wiRjj0/bQ1wcog3QdOAe4OMZ4ZnPfGHAu8BRgCfBnwLUxxlq3DqSH5qqGAFc09z0HGAFeAzzejYPosTmpYYzxp4D3A79CWb8bgRRjHPQPgN2s30x9QVmzzwEnAocDnwQ+F2NcmDf8ntvTMRNjXAD8JfCVWfTl+2AHXawhHLjvg7sZ9Demg0ZK6VMAMcZTKP+BT29vUH5qIsYYgF1ADXgG8H/t/TTfTFcCpzY/HdwaY1xH+SK/qbltotl2HjBF+Y/gCMp/hANrrmrYnBV4ObA0pTTefNrGig5rTs1VDYGXAv+UUrqt2f6dwFuAFzX3D6Ru1W9PfTX3fR34esumy2KM7waOB/6zS4cz5/Z0zE3nA9cCR++pH98Hq6/hgfw+2IkzUweIGOOXgMcoP018CfjaDE2XASGldEfLttuAk9r6+x7lp+V/BtallAb6DWQ2uljD5wPfA9bGGB+MMd4ZY1xT0bD7ShdrOA8ILfumfz+5e6PtP/tQv33t9ycoa3pPN/rrR83/ef8qcMksmvs+2EGXa3hQvQ8apg4QKaUXAcPAy4DrUkpTMzRdRHluu9V487mt/T2juW018MWuDrZPdbGGT6d8Q3mUcr3Pq4H3tE1/H5C6WMPPAa+IMT4vxngIsJZyJv1Huj/q/rEP9Zu1GOPhwCeAt6WUtub218euAP4opbRjFm19H+ysmzU8qN4HPc13AEkpPQ58Jsb4hRjjd1JK18YYb6c8VQDw25SnEg5re+pimlPabf09BqyLMd4TY7w1pfTNKsffD7pUw0cpTwu8vdnfN2KMnwR+gQE+RTVb3ahhSukLMca3AFdRrvn52+Zz7puLY+il2dQvpXTVbPqKMS4GrqMMZu+taMg9F2N8NTCRUrp2hv2+D+5FBTU8qN4HDVMHpvnAjwOklE5s3dE8z13EGE9IKd3Z3HwK8K299PdMyiuCDhY5NTyY6rQnWa/DlNKHgA812y+hfANvXQd0oJuxfrMRYzwM+DfglpTSG7o8tn7zYuDFMcYHm48XAbtijM9PKZ3p++CsdLuGB2qdOjJMDYjmVUzTf+Y1LzmdorxKYjFwM1AAv0F5OXTHN8+U0vYY4zWUV12sBo6lvEz2lc2/5wxgO3Ar5SXab6KcGejK2o1emqsaAuspL21/a4zx4mb/r6BcVD3Q5vB1uAA4jvKN+UeBDwKfOgC+GqEr9dtTXymlRkuQugP4neqOaG7toX5/SPk1GtPeR3lF3ts79eP7YPU15AB+H+zEMDU4LqBcNzJtJeWpjw9RXra7DJgEvg28IqV06x76Oo/ystjNlOe8L0wp3djcN0z5P65nUC683AicfYAsvJyTGqaUJmOMsbn/zZRX/7wxpbS+u4fTE3P1OjwE+BjlzMwO4B+AP+7eYfRMN+s3U1+rgF8CXkC5YP+V5csRKP8tfyn7KHqn4zGnlFYBW6Y3xhgfpTxl9f099OX7YKmSGh7g74O7CUVR9HoMkiRJA8ur+SRJkjIYpiRJkjIYpiRJkjIYpiRJkjIYpiRJkjIYpiRJkjIYpiRJkjIYpiRJkjIYpiR1XQjh/4UQihDCs9q2/25z+yVt2xeFECZDCG/r8jguCiFsm0WbovlnVwhhawjhmyGED4QQTtjPv/eMEMJb9m/UkgaNYUpSFb7c/Hl62/YXUt5Nvn37C4AhYEPF45rJDsp74b2Q8v5h64CzgNtCCK/aj/7OAAxT0kHCMCWp64qi+C5wP7uHptMpg8ppIYRa2/ZJencj2V1FUXy1+ef6oijeB5xCGQr/JoRwbI/GJWkAGKYkVeVmWsJUCKEOHAP8FeUs1KktbU8Hbi2KYnuz7QkhhM80T7ltDyH8Swjhma2dh9KbQwh3hxB2hhDuDSH84d4GFUJ4awhhRwjhnD21K4riMeD3KW+6/Fstz391COHLIYSHQwhbQghfDCGc1rL/IsobyS5sOX34xZb9ez02SYPFMCWpKl8Gjg8hPLn5+HRgtCiKbwO3NB8TQphHeZpvQ/PxsZRB7MnAKuDXgSOAL4QQFrT0/5fAO4C/BV5COeP17hDC62YaUAjhUuBPgZcURfHZvR1AURR3AP9HeQpw2jHAx4CVzbH9L7A+hLCsuf+vgb/hiVOHPwn87j4em6QBMr/XA5B0wNoABMrQdC3leqSbm/tuBn4K+AvgOcAwT6yzWgtsAX62OTtECOFm4L+B3wQub87k/B7wuqIormw+74YQwiJgbQjhyqIodk0PJIQQgA8Cvwb8XFEUX9mH4/hf4KnTD4qieEdLv/OA64GfoAxHbymK4r4Qwn00Tx229bXXY9uHcUnqE85MSarKrfzwYvPTeWKB+c1t22nZ93PAZ4DJEML8EMJ8ygCykTK0QLk4HOCfpts0232BMvg8vWUcgXL26peBM/cxSE0/v/jBg/I03adDCA8AU0ADOA5YNsPzW83m2CQNGMOUpEoURdEAvg6cHkL4EcoF3a0zU0c2Z5hOB75bFMX9zX1PAd5AGVJa/7yQJ0LSUyhDzoNtbf61ub81TB0CvJRy5uub+3EoR1MupieEMAx8HngG8EbgRZQhaCNw6Cz6ms2xSRownuaTVKUNwJsoT+lNUs5WURTF5hDC/1AGqdOBL7Y852HgX+h8ymuipU3R7PfxDu2+3fL7TuAXgH8Drggh/HZRFEWH5+wmhHAi8DTK9VhQrn86GjinKIqNLe0WA/fNosvZHJukAWOYklSlDcBbgdcD32jOVk27mXIR9zN4Yr0UwA3ASZRX903N0O8Xmj8PL4ri2r0NoiiKDSGESBlkdgB/sLfnhBAOBS6jDGN/3dz8pObPx1vavZByUfrtLU9/HOi0oHw2xyZpwBimJFXpZmAX5czQuzvsu6z5e+uXda4FvgH8WwjhSuABynVQPw18qSiKvy+K4u4QwgeBj4cQ3kv5/VQ1ynVLZxZF8bL2gRRFcWMI4eXAP4cQHiuK4k9ads8LIbyg+fsiykXxa4BjgVVFUfxPc99XgW3AB5tXHIQ1cwAAAPdJREFUBj4NuIjyir9WdwLzQwh/0DzOR5pXMe712DoVUVJ/M0xJqkxRFFtDCLdThpOb23bfTLnu6SHgrpbn3NP83qZ3Up4OWwRsBtbzw2ueXk95Ou+3gQuB7c3HV+9hPNeFEH4F+GQIYUdRFBc1dz0J+ArlqcNtwPcoZ79+qSiK1rE9EEJYCfwZ5ULyu4HXAa3BDMqrFy8Hzgd+tDn2M/bh2CQNkDDLpQOSJEnqwKv5JEmSMhimJEmSMhimJEmSMhimJEmSMhimJEmSMhimJEmSMhimJEmSMhimJEmSMhimJEmSMhimJEmSMhimJEmSMhimJEmSMvx/iCRjaEhRXoMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (-9223363305517489071)>"
      ]
     },
     "execution_count": 160,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#linear extrapolation\n",
    "g = (ggplot(new_df,aes(x='WeekDate',y='Close',group=1)) +\n",
    "     geom_line(color='green') + theme_minimal() + \n",
    "     #add smoothing\n",
    "     geom_smooth(linetype='dashed',alpha=0.5,color='black',size=0.5,\n",
    "                 method='glm',se=True,fullrange=True,level=0.95)+ #method, show error band, fullrange\n",
    "     #formatting date x-axis\n",
    "     scale_x_date(breaks=date_breaks('3 months'), \n",
    "                  labels=date_format('%y-%m')) +\n",
    "     scale_y_continuous(limits=(0,2000),\n",
    "                        breaks=range(0,2000,200),\n",
    "                        labels=lambda x: [f'{round(i/1000,1)}k' for i in x])\n",
    "    )\n",
    "g"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Connected scatterplot\n",
    "Usually used to show how the relationship between 2 variables has changed over time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Year</th>\n",
       "      <th>Bottom 90%</th>\n",
       "      <th>Top 0.01%</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1917</td>\n",
       "      <td>0.205</td>\n",
       "      <td>0.094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1919</td>\n",
       "      <td>0.206</td>\n",
       "      <td>0.069</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1921</td>\n",
       "      <td>0.226</td>\n",
       "      <td>0.049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1923</td>\n",
       "      <td>0.207</td>\n",
       "      <td>0.052</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1925</td>\n",
       "      <td>0.177</td>\n",
       "      <td>0.067</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Year  Bottom 90%  Top 0.01%\n",
       "0  1917       0.205      0.094\n",
       "1  1919       0.206      0.069\n",
       "2  1921       0.226      0.049\n",
       "3  1923       0.207      0.052\n",
       "4  1925       0.177      0.067"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('data/connected-scatterplot.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (8731330341047)>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g = (ggplot(df,aes(x='Bottom 90%',y='Top 0.01%')) +\n",
    "     geom_point(color='brown') + \n",
    "     geom_path() + #use geom_path to connect in order\n",
    "     theme_minimal() +\n",
    "     #annotate\n",
    "     geom_label(aes(x=df.iloc[0,1],y=df.iloc[0,2]),\n",
    "               label=df.iloc[0,0],nudge_y=0.01) +\n",
    "     geom_label(aes(x=df.iloc[-1,1],y=df.iloc[-1,2]),\n",
    "               label=df.iloc[-1,0],nudge_y=0.01) +\n",
    "    scale_y_continuous(limits=(0,0.12), breaks=[i/100 for i in range(0,12,1)]) +\n",
    "    #axis labels\n",
    "    xlab('Bottom 90%') + ylab('Top 0.01%')\n",
    "    )\n",
    "g"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Calendar heatmap\n",
    "A great way of showing temporal patterns (daily, weekly, monthly), at the expense of showing precision in quantity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "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>Month</th>\n",
       "      <th>Year</th>\n",
       "      <th>Number</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Jan</td>\n",
       "      <td>2010</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Feb</td>\n",
       "      <td>2010</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Mar</td>\n",
       "      <td>2010</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Apr</td>\n",
       "      <td>2010</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>May</td>\n",
       "      <td>2010</td>\n",
       "      <td>93</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Month  Year  Number\n",
       "0   Jan  2010      35\n",
       "1   Feb  2010      25\n",
       "2   Mar  2010      35\n",
       "3   Apr  2010      48\n",
       "4   May  2010      93"
      ]
     },
     "execution_count": 161,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('data/calendar-heatmap.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (8731329479800)>"
      ]
     },
     "execution_count": 169,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g = (ggplot(df,aes(x='Year', y ='Month', \n",
    "                   label='Number', fill='Number')) +\n",
    "     geom_tile() + geom_text(color='white') +\n",
    "     scale_fill_gradient(low = \"#254117\", high = \"#99C68E\") + #custom gradient\n",
    "     theme_minimal() + theme(legend_position='none')\n",
    "    ) \n",
    "g"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Priestley timeline\n",
    "Great when date and duration are key elements of the story in the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "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>Name</th>\n",
       "      <th>variable</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Berlioz</td>\n",
       "      <td>Died</td>\n",
       "      <td>08-03-1869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Schubert</td>\n",
       "      <td>Died</td>\n",
       "      <td>19-11-1828</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Beethoven</td>\n",
       "      <td>Died</td>\n",
       "      <td>26-03-1827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Mozart</td>\n",
       "      <td>Died</td>\n",
       "      <td>05-12-1791</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Haydn</td>\n",
       "      <td>Died</td>\n",
       "      <td>31-05-1809</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Name variable       value\n",
       "11    Berlioz     Died  08-03-1869\n",
       "12   Schubert     Died  19-11-1828\n",
       "13  Beethoven     Died  26-03-1827\n",
       "14     Mozart     Died  05-12-1791\n",
       "15      Haydn     Died  31-05-1809"
      ]
     },
     "execution_count": 192,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('data/priestley-timeline.csv')\n",
    "df_m = df.melt(id_vars='Name')\n",
    "df_m.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 216,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (8731330140792)>"
      ]
     },
     "execution_count": 216,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g = (ggplot(df_m, aes(x='Name',y='value',group='Name')) +\n",
    "     geom_line(size=10,color='green') + coord_flip() +\n",
    "     geom_text(df_m[df_m.variable=='Born'],aes(x='Name',y='value',label='Name'),\n",
    "               nudge_y=6500,color='white') +\n",
    "     scale_y_date(breaks=date_breaks('20 years'), labels=date_format('%Y')) +\n",
    "     theme(axis_text_y=element_blank())\n",
    "    )\n",
    "g"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Circle timeline\n",
    "Good for showing discrete values of varying size across multiple categories (eg earthquakes by contintent)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 217,
   "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>Date</th>\n",
       "      <th>Sales</th>\n",
       "      <th>Category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2015-03-01</td>\n",
       "      <td>22656.1390</td>\n",
       "      <td>Furniture</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2015-03-01</td>\n",
       "      <td>14528.6830</td>\n",
       "      <td>Office Supplies</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2015-03-01</td>\n",
       "      <td>37262.9740</td>\n",
       "      <td>Technology</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2015-06-01</td>\n",
       "      <td>28063.7496</td>\n",
       "      <td>Furniture</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2015-06-01</td>\n",
       "      <td>31243.7350</td>\n",
       "      <td>Office Supplies</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date       Sales         Category\n",
       "0  2015-03-01  22656.1390        Furniture\n",
       "1  2015-03-01  14528.6830  Office Supplies\n",
       "2  2015-03-01  37262.9740       Technology\n",
       "3  2015-06-01  28063.7496        Furniture\n",
       "4  2015-06-01  31243.7350  Office Supplies"
      ]
     },
     "execution_count": 217,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('data/area-chart.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 231,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (-9223363305525095869)>"
      ]
     },
     "execution_count": 231,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g = (ggplot(df, aes(x='Category',y='Date',size='Sales')) +\n",
    "     geom_point(alpha=0.5, color='green') + \n",
    "     scale_size(range = (1, 15)) + #size scaling\n",
    "     coord_flip() +\n",
    "     scale_y_date(breaks=date_breaks('1 year'), labels=date_format('%y-%m')) +\n",
    "     guides(size=False)\n",
    "    )\n",
    "g"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Vertical timeline\n",
    "Presents time on the Y axis. Good for displaying detailed time series that work especially well when scrolling on mobile"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 232,
   "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>Order Date</th>\n",
       "      <th>Sales</th>\n",
       "      <th>Profit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2015 Mar</td>\n",
       "      <td>148895.5920</td>\n",
       "      <td>7622.4580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2015 Jun</td>\n",
       "      <td>173077.5192</td>\n",
       "      <td>22408.1384</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2015 Sep</td>\n",
       "      <td>287266.4246</td>\n",
       "      <td>25609.4436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2015 Dec</td>\n",
       "      <td>359255.4604</td>\n",
       "      <td>43447.9082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2016 Mar</td>\n",
       "      <td>137703.4772</td>\n",
       "      <td>18529.8832</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Order Date        Sales      Profit\n",
       "0   2015 Mar  148895.5920   7622.4580\n",
       "1   2015 Jun  173077.5192  22408.1384\n",
       "2   2015 Sep  287266.4246  25609.4436\n",
       "3   2015 Dec  359255.4604  43447.9082\n",
       "4   2016 Mar  137703.4772  18529.8832"
      ]
     },
     "execution_count": 232,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('data/column-line-timeline.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 258,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAlcAAAHHCAYAAACStX1aAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD+naQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvOIA7rQAAIABJREFUeJzs3Xd8VfX9x/HXJ8llhTAEB0HELW5UcNRWcFvHdY+624q1Ko5qh9Vfr9e2jjrqbK2rraPOOo5KFVsFtwgKojIcoJCLGIRARMCb8P398T0hl5hAxk3Ozb3v5+NxH4F7b07eFzG88z3f+znmnENEREREsqMo6gAiIiIi+UTlSkRERCSLVK5EREREskjlSkRERCSLVK5EREREskjlSkRERCSLVK5EREREskjlSkRERCSLVK5EREREskjlSkRERCSLVK5EREREskjlSkRERCSLVK5EREREskjlSkRERCSLVK5EREREskjlSkRERCSLVK5EREREskjlSkRERCSLVK5EREREskjlSkRERCSLVK5EREREskjlqh2k0+kB6XT68nQ6PaAtx0mlUl1TqdTlqVSqa65kKoRcuZgpV3PlYqZCyJWLmQohVy5mKpRcnY3KVfsYACTCj23RNTxOm/+Sk71MkP+5cjET5GauXMwE+Z8rFzNB/ufKxUxQGLk6FZUrERERkSxSuRIRERHJIpUrERERkSxSuRIRERHJIpUrERERkSxSuRIRERHJIpUrERERkSxSuRIRkQ5jZj3NbK6ZOTMbFt63cfj7VbcuXbpM6tKlC127dn0z43OHm9ndZvaRmX1jZh+b2fVm1qvB19jczG43s8lmVjNo0KA3G+YIn9fFzK4xs5SZLTOzCWa2b4PnnN4wU5cuXSaF9z23ltd6ecPXFd7OauS5F5vZbDNbbmZvm9nIZh7LbbbZZr9t8NxiM/ulmc0wsxXh67t9TVklu1SuRESkI/0fUNLgvnnAHpm3UaNGnd67d2/69ev3asbzjge2Aq4DDgb+BJwMjDWzzH/PtgUOAT4GPlxDlhuBc4BrgCOAT4ExZrZzxnOerct05plnnv7KK68wYsSI/wsf+08zXu+yhq8NeDzzCWZ2MXAlcGv4uj4G/mNm22c87a5GjvNrgB133PG1Bl/zbuDC8PUdEP66uhlZJUsa/gUXERFpF2Y2BF9mLgJWraQ451YAq60unXLKKdsvXryYAw44IHN16BrnXGXG78eZ2RfAU8APgPHh/U87554Kv+Y/gF0byTIQOBO40Dl3S3jfWGAKfqr44WG2SqASIJ1Ofwswf/78QUAt8HAzXvZK59x3Vs5SqVQvgCAIugCXATc6564Lc4wHpgKXAieEOeYCcxu8hrOARTfffPNrGfcdAJwE7OicyyyWzckqWaKVKxER6Sg340vVjLU9cdy4cQf16tWLG2+88eW6+xoUqzrvhh/LM563shlZdgCKgeczPs8BY4EDzaxLU584e/bsA4EXnXNfNOPrrNHVV1+9G9AbeDAjR11xO9jMrLHPM7NuwJHAYxtuuGFNxkM/DbOtacVO2pnKlYiItDszOwbYEbiiGc+NzZs3b9/DDz+czTff/Nu1PP0H4cdpLYzULfzY8Pgr8NfV26SxT5o0aRLLly8fDPyrmV+nu5lVmlmNmX1oZqMyH1y8ePFW4S+nN/i8D4EyYGATxz0U6NVIjt2BmWZ2k5ktDveSPWNmjb4eaR8qVyIi0q7MrAdwA3CJc25JMz7lh7W1tb1POOGEtR23D/BH4H/OucktjDUz/NjwlOHu4cd1Gvukhx56CDNbQYN9U034GL8v6gT8acZ3gTvCPVYA1NTU9AFWOOeWNfjcRWvKAZwIVAAvN7h/A+B0/Ov6EXAqMAS/l0xbgTqI/qBFRKS9XQbMB/7RzOefVFJS8tU+++zTr6knmFkx8ABQij8V1iLOuQ/MbBxwjZnNxZ+q/DEwInzKd04tfvPNN/boo4/Sv3//V7/88su1lkTn3P0N7no2PN142csvv3zPXnvtteqpjXy6NfWYmfXGb3y/1Tm3Mp1ON/y8IuAw59yC8PmfAJOAo4BH1pZb2k4rVyIi0m7MbDB+A3sC6BWuNvUMH+5pZj0bPL8ncOiGG244tri4eE2HvgNfhA5xzn3Wynin4zervwYsAM6l/rTld/ZTnXXWWcNSqRTDhw9vzrsEm/II0Pu6667bFKCkpKQK6BbuocrUJ/y4iO86Bn/q8oFGHlsETK0rVgDOuXeAxfh3UUoHiHzlKh6PdwVuA/YF+gOfA1cGQfBA+Ph2+Leg7oB/m+zPgyB4JeOx64FdgH5A9yAIlmccex3gL8B++Db/EnBOEATzO+bViYgUvE2ALviRBg29BLxF/ak48Ju0exx00EHP4U9rfYeZ/Ql/uutw59zbrQ0WlrJdzWxjoAd+9eoXwLzGCtsrr7zyw969e3PjjTe+2vCxFlhtg3rv3r1nVFVVAWxN/eZ8gG3w4xMqGjnGicB059y7jTw2jfr9ZA01Z6O/ZEEurFyVACl8ueoN/Az4Szwe3yMej8eAAHgC6AtcDTwVj8f7hp+bxv8UcHoTx74KX9g2BzYK77upHV6DiIg0bjKwd4PbheFjZwFnN3j+icAnN9988/uNHczMfgVcDJzhnBuTjYDOudnhu+u64E8x3tXI1+36xRdf7HPkkUey8cYbp79zkOY7Hqi6+OKLPwX4zW9+8xZ+Ven4jK9VDBwHjAnfwZiZYwAwkqY31D8D7GBm62Z8zjD8v69T2pBbWiDylasgCJYCv8u469V4PP4a8D380nEP4NogCFYC98fj8Qvx543vDoJgBjAjHo9v3MThNwUeD4KgCiAejz8IJNvnlYiISEPOuSpgXOZ9GdMFJoWnrOruXxd/puHqxo5lZifiB34+BMwws8wVr7nhLKi6DfQHh/cPds6VPfPMM/zud787fP78+c/VjXQws3PxxWYOsDF+1Wp5+DUaOri2trasqU32ZnYqcA+wr3NufHjfROCf+BWx7vj5U0cBF+y11141APF4/Nuf//znfwCuNLNK4B3gDPy/X419sRPwCyNNlas7gNHAM2b2R/y/oVeGxw2a+BzJssjLVUPxeLwUGIZfYdoOmBoWqzqTw/ub4zbg5/F4/GH8221PArLyk46IiGTdcfh/l/6FLyMNHRB+PIHvFo8kcHn46/WAR+secM7xs5/9DOBe/MrZuPChruHnbAh8hX8H4P8555Y28rVPjMViC0aOHNm/iexF+LlZmaf9PsEXtg3wG9OnAic75x6oGyIauj78vPOA9cPnHeycm9pYDmCCc+6TxkI455aY2T74f0P/hR92+h/8sFSdFuwgOVWu4vG4AX8HJuAHue2K/6kiUxV+ebM53sZPA67E/8WeiH83SNalUqmu+P9R6dOnT2lxcTG1tbWllZWVvdbyqWtSVvcxlUq1KV8WM+V9rlzMlKu5cjFTgeTKxUzNzlVRUfEO4ffxzJJRUVFxH3AfQDqd3rFhroqKivPwBaRRdceqqKhYyOr/TpThp5tvCFRnPO9O4M6mjtMg80/79OmzI/ByOp3+zp9VRUXF44TjGTKOP6rhcTIeX/VnVVFRAfC38La2HPs2fKzhf8OKiopKfAlb6+tqRK7+3Wo35eXlzRkP0iI5U67CYnU7fmDaAUEQuHg8/jV+SFqm3jT/GkmPAR/g33XxLf5SAs+z+ubJbLkE/24Yws2J8N35I601d+1PWbN2yAR5misXM0Fu5srFTFBQuXIxE+RprlzMBAWXqz00OgW/LXKiXIXF6jZgJ2C/cB8WwPvAr+LxeFHGqcGhwF+beejtgdFBECwJv87NwGXxeLx/EAQL1vypLXYVfkgeffr02bG4uPjl2travaqqqtqygXC1n7baEi6LmfI+Vy5mytVcuZipQHLlYqa8z5WLmQooV6eSE+UKfyXw3YF964pQaBx+c+FFYTE6Gr/J7wlYVcpWnY4DusbjcTLGMbwFjIrH49Pw7yw8B6hoh2JFeXn5CvxlE0in00sBioqKlrZluTFjSba6rcuW2cpUCLlyMVOu5srFTIWQKxczFUKuXMxUKLk6m8jLVTweH4x/K+4KYE48Hq976MogCK6M+zvuwg92+xQ4IgiCheFzBgOzMg5XtwZZt8T3E/yFQj/DbzR8DziinV6KiIiISPTlKgiCz1jD+c4gCKYCuzXx2Oy1fO5n+Os5iYiIiHSIXBgiKiIikhMsaYOiziCdn8qViIgIYEkrBz61pN1mSSuNOo90XipXIiIigEu4FH7o5hnAdEvaiIgjSSelciUiIlJvJf4ag+XAS1rFktZQuRIREfmuIvwbps7Anyo8KOI80omoXImIiACWtLpClakL/lqFT82umh3r+FTSGUU+ikFERKSjWdIMGAQMD2+7ArsA3Ro8tQb4Ejhx4z4bpzs0pHRaKlciIpL3Fi5fyA+f+OF+c7+euy2+SA0H1scPn34beAM/dPpBfMFaiV/F+hvwa5dwS9Pp9M6RhJdOR+VKRETySrgBfWfCFSnDdnU4gAeAd4EJwEPhx09cwq3M+FwDvsWvVp3sEm58B8eXPKByJSIinZYlLQZsz+qn97YFHPABMKFP1z43PnTIQzctXL5w4AnDT1i4hmOV4y+Vtmq1qt1fgOQllSsREekUwg3nW7B6kRqKP433CX4l6u/hx3ddwn0DkEqlegE34fdPNcklXMqStqlLuDnt9iKkIKhciYhITqqoruCc/5yz95iPxxyDL1LDgN7AF/gC9SxwOTDRJdxX2fiaKlaSDSpXIiISOUtaX+pXpIbHimJ7plemKbbiy/FFagLwl/BjhUs4F1lYkbVQuRIRkQ5lSesO7ET9u/Z2BTYHVgCTgQnfG/S9ibcedOvvB/UaNLJ3j96Toksr0nIqVyIi0m4saSX4DeaZRWo7/JiDD/ErUdeHH993CfctQDj24Pf4jekinYrKlYiIZEXViioWLV/EEU8fceyCZQu2w5epnYHuwCx8gboPP1fqHZdwX0eXVqT9qFyJiEirWNIGUL8aVbdfCsOuwhepscAfgbddwi2IKqdIR1O5EhGRtbKk9ca/Wy/z9N5AoBqYBExYv8f69z99+NP3lsZKN99mk22WRJdWJFoqVyIishpLWjf8/KjMIrUlfnL5FPyq1KX403szXMLVwqp5UiIFT+VKRKSALV6xuOjzxZ9z3vPnxV+b89qZ+DK1A35S+TR8gbop/PieS7gV0aUV6RxUrkRECkR43bxNyNgnVWRFw1e6lXQp7nIm8Br+mnsXAZNcwlVHl1ak81K5EhHJU5a09fnuhvN+wAL8StSL8S3jj9160K03rVe63qGxWOyd6NKK5A+VKxGRPGBJ6wXswuplaiNgKeGGc/x1994GZtdNOA/nSYlIFqlciYh0MsEnQZdBZYM4+bmTR1WtqNoBX6SG4C9M/B6+QF0efpxWt+FcRDqGypWISA6zpBXji1PmitSOAEVWdCbwFv6ae28DU1zCLY8oqoiEVK5ERHJEuOF8MPX7o3bFn+rrCczBF6jHBpcNTj531HNP9+rSa3h5ebnmSYnkGJUrEZGIWNLWZfUiNRxYF1iIL1Iv46+797ZLuC/qPk/zpERym8qViEgHsKT1PGX7U3bedt1tueHNG67+8psvtwA2Br4B3sGXqbrr7n1at+FcRDoflSsRkSyzpHXBD+LMXJHa+r6p97mh6w+la0nXauAP+CL1oUu4mujSiki2qVyJiLSBJa0If2mYzEvFDAW6ADPxBeoO4O33znyPIf2HvA78UTOlRPKXypWISDOFG843ZPUitQvQC6jAF6mn8Nfdm+QSblHm52umlEhhULkSEWmCJa3fhj03HHHCVidw07s3PQTsDKwPVOGL1BuE191zCZeKMKqI5BCVKxERwJJWCuzE6qtSm879eu7ycXPHUVJUMju9Mn0/vlR9rA3nItIUlSsRKUjhKb6TgJH4IrUt4ID38QXqauDtBw9+8PO9Bu71FfAbzZQSkeZQuRKRQnUAcA/wGP6aexOAd13CfZP5JM2UEpGWUrkSkUI1CnjcJdyJUQcRkfyiciUiBceStj5wOHBg1FlEJP8URR1ARCQCpwOfAeOijSEi+UjlSkQKSriR/QzgLpdwK6POIyL5R+VKRArNSPw1/f4RaQoRyVsqVyJSaM4EApdwX0QdRETykza0i0jBsKT1B47Cb2YXEWkXWrkSkUJyCvAF8ELUQUQkf6lciUhBCDeyj8JvZK+NOo+I5C+VKxEpFHsCW+GnsYuItBuVKxEpFKOAMS7h5kYdRETymza0i0jes6T1BY4Djo86i4jkP61ciUghOAlYCIyJOoiI5D+VKxHJaxkb2e9xCVcTdR4RyX86LSgi+W44sD2abSUiHUQrVyKS70YBL7iEmx11EBEpDFq5EpG8NaFiQg/gR8BpUWcRkcKhcpUl6XR6ADAg/O2Quo/pdLrVx+zbt29pdXU1ZWVlO6bT6aVtjJiVTAWSKxcz5WquXMy0KtfNb998eklRyYqZZ8+ck06nd86VXOh7Q2fNlYuZCiJXe4rFYu9k+5jmnMv2MQtSOp2+HEhEnUNE6u3x9z0YOXgkV+1zVdRRRCRHxWIxy/YxtXKVPX8DgvDXQ4AH8G//nt7aA9bU1JRWV1e/XFZWtldJSUk2foJoc6YCyZWLmXI1Vy5mAhjy7hfvPjBp3iSOHnL0EcCcXMmFvjd05ly5mKkgcnU2KldZEovF5gHzADKWP6e3ZbmxsrKyF8CiRYumlJeXL2lLvmxlKoRcuZgpV3PlYqa6XPdMvofeXXu/fclelzyVS7lC+t7QCXPlYqZCydXZ6N2CIpJ3psyf0u3BDx5k2IBhT0SdRUQKj8qViOSdX4z9xf4lRSXcctAtL0WdRUQKj8qViOSdyfMnH3nydiez+Tqbfxt1FhEpPNpzJSJ5xZK2LbDjT4b+JOooIlKgtHIlIvlmVK8uvSZvs+42UecQkQKlciUiecOS1g04ZegGQ7WRXUQio3IlIvnkKKD4xgNu/G/UQUSkcGnPlYh0epa0cuA84Czg79utt93yiCOJSAFTuRKRTsuSth1wEfUToEcDDwHbR5lLRAqbypWIdCqWNAP2AS4GDgJeAA4FXnAJf7HUXL5IrIjkP5UrEekULGkx4Fh8qdoev0K1k0u4yZEGExFpQOVKRHKaJa0MOAO4AOgL3AEc7hKu1RdjFhFpTypXIpKTGmxS/xq4CbjDJdziSIOJiKyFypWI5JSDnzx46ymVU85i9U3qD7uE06VsRKRTULkSkchZ0myjso1GbNZ7M6ZUTnmTRjapi4h0FipXIhKZzE3qn1d/vv2w9Yexbb9tv//+ue+/FnU2EZHWUrkSkQ7X2Cb1/Tba76Rb9r7lQ2BqpOFERNpI5UpEOowlbSB+D9V3NqmnUqlekYYTEckSlSsRaXfhJPWLgRPRJnURyXMqVyLSLpozSV1EJB+pXIlIVmmSuogUOpUrEckKTVIXEfFUrkSkTSqqK9j//v1HA0eiSeoiIipXItI6lrTtynuWX175TSWx4tieaJO6iAigciUiLdBwk/qymmVvPnnck4wcPPKEHt16vBNxPBGRnKByJSJr1dQm9fm/mF8ETIoym4hIrlG5EpEmrW2Tejqd3jnCeCIiOUnlSkS+I5ykfh7wM7RJXUSkRVSuRGQVTVIXEWk7lSuRAqdJ6iIi2aVyJVKg0ivTDPvXsGOBc9AkdRGRrFG5EikwlrSyXl16nV3WpYwFyxb8GU1SFxHJKpUrkQKRuUm9+tvqpecNPY9FKxZtc+sRt86NOpuISD5RuRLJc41tUr/ngHvGHDD4gAXAkkjDiYjkIZUrkTy0tk3qqVSqV5T5RETymcqVSB5papK6NqmLiHQclSuRPGFJ6wJ8AGwOzMefBnzaJdzySIOJiBQYlSuR/JEGfg+MBHYDHgZqLGlTgLfC2wTgo4pRFVFlFBHJeypXInkiHPh5b3jDktYLGIYvWrsBRwMbAFWD7x486dwdz+WRmY8ckFqaGu8SrjKq3CIi+UblSiRPuYRbArwY3uo2uW8I7NalqMsP3pj3xr6ppal/Aj0sabNYfXXrXZdwyyKKLiLSqalciRSIcGVrDjAnlUqNBc6bOH/ihocHh29E/erWT4EbgNqM04kTwo8zXcKtjCa9iEjnoXIlUsCGrT+s1iXcFGAKflI7lrQy6k8n7gpcCZQDiy1pdUVrAvDWt7/V9ZxFRBpSuRKR1biEqwZeCm8AWNI2pL5s/QC4ECgtu6YsFd8yzkcLPzpp8vzJ3YF3dDpRRAqdypWIrJVLuLnAXODfAJa0EmCbnQfsfGxZ17LLZi6ceRhwAbDSkvYe9acS3wJm6HSiiBQSlSsRaTGXcDXAe+l0ugS47PaDbz+hy5VdZuJPJ+6KX+X6AzAQWGJJe5v6svWWS7j5EUUXEWl3KlcikhUu4b4GxoU3YNXFouvK1vfwF47uaUn7jNVXt97R7C0RyRcqVyLSblzCVQBPhDcsacXA1tS/O/FU4E+AG3TXoA9O3OpExswec9LC5QvHA9N1OlFEOiOVKxHpMC7haoH3w9vdAJa0UmCX0ljpXgtXLNxh0fJFlwJ/AaobOZ34RUTRRUSaTeVKRCLlEm4p8HIqlZqMv3zPNgPvHNiT+tOJuwOj8acT55BRtvDvTlwaTXIRkcapXIlIznEJlwKeDG91pxOHUH868STg6vCx91l9uvw0zd8SkShFXq7i8XhX4DZgX6A/8DlwZRAED4SPbwfcBewAfAr8PAiCVzIeux7YBegHdA+CYHnGsT8ABmd8ua7AtCAIdmjv1yUi2ROeTvwgvN0Dq04n7kz9/K0EsBFQve71604/c+cz+aDyg73HfDzmi7CsiYh0iMjLFT5DCl+uZuPfUfRsPB7/FJgIBMDfgBHAscBT8Xh8syAIFgFp4BHgFuDphgcOgmDbzN/H4/G3GnueiHQ+4enAV8IbAJa0DYDd1i9dPz5p3qTh4z8bfzlwnSVtLquvbk0K390oIpJ1kZerIAiWAr/LuOvVeDz+Gr5k9QR6ANcGQbASuD8ej18IHAXcHQTBDGBGPB7feG1fJx6Pb4ufwXNMll+CiOSIcMP7U+l0eg7wk2/S34zsc22fZdSvbv0IuAqwjNOJdSMhPgxXyERE2iTyctVQPB4vxZegm4DtgKlhsaozOby/pX4M/DcIgjltTykinUGPWA/nEu5D4EPg7wCWtB7404l1G+Yvw28f+NqSNpGM+VvhKAkRkRbJqXIVj8cN/w1wAjAW/81vcYOnVQG9W3jcEuBk4PwsxBSRTswl3DfAq+ENAEva+tSXrd2As4BelrSKWFFs0i93+SX/mvGv789eMvtlnU4UkbXJmXIVFqvb8ZfLOCAIAhePx78GejV4am+guoWHPwToQvjOo/aQSqW64jfM06dPn9Li4mJqa2tLKysrG+ZvibK6j6lU2/bjZjFT3ufKxUy5misXM7UmV8WoimXA+PDGnOo5du5L524+a/GsYTWu5ntPz3qa2UtmPwUUFV9RPC1WFJvUo6THxA3LNpz45xF/nrb1Ols3a9ipvjd07ly5mKmAcrWb8vLyJdk+pjnnsn3MFguL1W3404H7BUGwJLx/f+BeYGDdqcF4PD4R+GsQBHdnfP7GwCwavFsw4/GngDlBEJzbXq8hlUpdjn+3kojkoWU1y3j/q/d598t3V93mfD2HHiU92KH/Duy03k7+tu5OlPcsjzquiDRTeXm5ZfuYubJydSt+UOC+dcUqNA5YDlwUj8dvBo4GNiW8lEZYylatGAFd4/E4DcYxrAccjF/qb09XATcA9OnTZ8fi4uKXa2tr96qqqprShmOWAXOBDWn5at1qspgp73PlYqZczZWLmdorV/eS7hsOX3949fD1h6964Pxx5/d/PfX6LlO/mjps4pcTh9WsrNkF6G3YvJKikkndirtNXKfbOhOP2fKYd3+x8y++1veGzp0rFzMVUK5OpVXlysxiwE+B4cAg4Bzn3EdmdjzwnnNuWnOPFY/HBwNnAyuAOfF4vO6hK4MguDLu77gLuAI/5+qIIAgWhs8ZjF+xqlNVFzHjvlOAD4IgeKclr7GlysvLV+BfA+l0eilAUVHR0rYsN2YsyVa3ddkyW5kKIVcuZsrVXLmYqSNzPXrio0vw35ceBbCkFQFbONxu6ZXp3dIr04dWp6svu37S9cXXT7r+w4FlAz++9PuX8umiT8uve/O6N1zC1WQ7U0sV+n/Dzp6pUHJ1Ni0uV2a2KfBfYF1gCrAH9edo9wIOwr8zr1mCIPiM1ctQw8en0sSqUxAEs9f0ueFzrscPGhURaVfhhaZnhLd7ASxp3YCdgN1qVtYceN0b1/Fp1acPAd9Y0iax+vytOS6RA3s1RKRNWrNydTNQiX9nTRWQeZ2J8fjTYyIiAriEWw68AbyRTqdfBg56asZT+x7772O7U/8OxZ8CfYEvLGmZZettl3AF9RO/SD5oTbkaCfzIObfAzIobPPYFMKDNqURE8tjhWx1e5RLuReBZAEuaAVtQX7aOBJJAiSVtGqsPO51aMUrjt0RyWWvKVQ1Nn4pbH9AMGBGRFghPBc4Mb/fDqtOJQ6kvXBcDmwHLNrpro8lnbHcGT3z8xJFfLvtyHPC5TieK5I7WlKvxwEVm9h+gbraLMzMDzgT+l61wIiKFKjyd+GZ4A8CS1h8Y3q2k214zF83c48tlX/4Zfzpxfng6sW51622XcA0HMItIB2lNufo18DowDXgKcMA5+EvS1C1ri4hIlrmEWwD8J5VKvQb8pmpF1cbb3rvtetRPlo/jr9Uas6RNp75s/c8l3MyocosUmhaXK+fcdDPbBbgcfxHUWuBQ/DsIT3LOfZLVhCIi0qg+XfvgEu5j4GPgAQBLWldgR2AUfqP8afhxEZtFlVOk0LRqzpVzbhb+f1gREckR4TUSTwJOxResV4F/Es7hEpGO0Zo5Vy8CZzvnpjfy2JbA7c65fbIRTkRE1izc+H4Y/gfeg4DP8TO2jnYJnUkQiUJrRzE0dQHGXvhBoiIi0k6qVlTxcdXHHP/s8X8GjgKK8atT+wCvhsNMRSQirb22YFNv+f0e8GUrjykiImtgSdsIOKWIotMxKLKiwfg3FD3pEu4D4IF2AAAgAElEQVSbiOOJSKhZ5crMLgEuCX/rgJfMrOFPRl3D4/0le/FERAqbJa0n/qL1p+HPHEwr7VJ670vHvHTFgNIBRxXaNdtEOoPmrly9jr8+n+Hf5vsg/qrZmb7Fj2d4OmvpREQKUHgB6JH4QnU0sBz/ffdXwKTpp00vw1/MXkRyULPKlXNuPH54KGbmgDudc6k1f5aIiLSEJW0r/Dv9TsFfSuwZ4GRgjEu4VddxTaX07Vckl7VmzlWyPYKIiBQiS1pf4AR8qdodmAhcCzwYDg0VkU6mVRvazWxz4HRgS6Bbw8edc/G2xRIRyV9ffP1FyUY3b3Qo/rRfHFiAv6bgGS7hPog0nIi0WWvmXA3HnyL8DF+u3gN6Axvj92F9nMV8IiJ54zf/+82WNStr+Mukv/wH6A48gS9X/3UJVxttOhHJltasXP0JP0/lJ0Aa+Klz7h0z+x7wL+CaLOYTEenULGkbACfiV6l2+P6g77Nb+W63vjb3tetdwumdfiJ5qDXlakfgaqBuFEM3AOfc62aWDB97PjvxREQ6n3BqehxfqA7Er/Tfe91+11123q7nBcBTsVhMxUokT7WmXDngW+ecM7MvgcH4UQ3gTwtuma1wIiKdhSXNgD3wG9OPx09NfwTYGz813aXT6Z0jjCgiHaQ15epD/NXVXwLeAC4ys6n4U4S/AXQtKxEpGJa0wfjRCafivze+AJwNPKWp6SKFqTXl6g78ahXAb4GxwJTw90uBY7KQS0QkZ4VT04+hfmr6B8CdwAMuoRmAIoWuNXOu7sv49TQz2xp/TcFuwJvOOV1bUETyzrSF04oG3jlwX+qnpi/Dv4nnYuAdl3BNXXNVRApMay/cvIpz7mv86pWISN45Ijhi890G7MZtk297H1gPPzX9ROA/mVPTRUTqtKhcmdnGwBn4TZsb4De3fwG8BtztnPs8y/lERDqcJW0d6qem75ZemaZX1143Ll6x+B+ami4ia9PscmVmJwJ3A12BCmAO/kLOWwH7AL80s9Odc4+0R1ARkfZkSYsBB+FP+x2Gn5p+307r7TT6mcOfmQDcUV5ervEJIrJWzSpXZjYEuAd4FRjtnJvW4PFtgVuAf5rZZOfczKwnFRHJsnB8wlB8oToR6Ak8DhwKvOgSrjaVSvWKMKKIdELNXbk6B/gUONi57+4xcM59YGY/BN4Nn3t+9iKKiGSXJW0A9VPTtwdexo+SeUxT00WkrZpbrvYC7misWNVxzq0wszuAH2clmYhIFoVT0w+nfmr6LOBe4HCXcLOizCYi+aW55WowMLUZz5tK/QwsEZFIpWvTdLmyy574QnUcfp/ow8AI4DWNTxCR9tDcclUGVDfjeV/j9yyIiETmLxP/MmDR8kVc/drVTwID8eNizsJPTV8WbToRyXfNLVeGH7vQ3OeKiHQoS1oZfmr6qcDIbdfdliH9h/x7yvwpf3IJNy/ieCJSQFoy5+olM1u5lucUtSWMiEhLWNKK8RdGPg04CvgG+Nf5u55/55/2/dMDZnZfLBZTsRKRDtXccpVs1xQiIi1gSRuCL1QnA+sDTwM/wk9NT6fT6Z2jzCciha1Z5co5p3IlIpGypPUGTsKXql2BCcBVwMMu4b6KMpuISKY2X1tQRKQ9WdLWBy4Azsa/seY+4HSXWH2YsYhIrlC5EpGcZEnbGPgl8BPgE/yA4oddwqUjjCUislYqVyKSUw558pAhkysnj8bvoZoIHA884xJubW+oERHJCSpXIpIT9n5071026b0JkysnvwW8AOwPjNOgTxHpbFpUrszMgHWAb5zTID4RaZvwwsn7AZcAIzfvuzlD+g4ZOe28aeMjjiYi0motXbkqAb4AjgCezX4cESkElrQi/PeRS4ChwP3D1h82/M797pyIvwC8iEin1aJy5ZxLm1kFUNxOeUQkj1nSYvhxCr/GX4f0TuBol3Cfp1KpXpGGExHJktbsuboVuNDMnnfOrch2IBHJP5a0HsAZwMVAL/z3kZtcwlVGGkxEpB20plwNBrYCPjezccCXrH7dQeecOz8L2USkk7Ok9cGPULgAqAVuAG53Cbck0mAiIu2oNeXqUKBuxWrXRh53gMqVSAGzpG0AXAj8HFgA/A74u0u45ZEGExHpAC0uV865TdojiIh0fpa0Tagf/PkRvlw97BKuJtJgIiIdqCjqACLS+SXGJzazpN2PL1Q7AccCO7qEe0DFSkQKTauGiJpZf/zG1OHAIOBI59wHZnY+8JZz7s0sZhSRHHXOf87ZPvV1imc/evYRYCx+ZtV4Df4UkULW4nJlZjsD/8NfQPUVYCTQNXx4IH6fxfFZyiciOSYc/Lk/fkbViKOGHMXo4aNPvvngmx+IOJqISE5ozcrVn4E3gMPxm9d/lPHYW6hYieQlS1oxcCTwG2BH4L4rRlxx82/2/M3jwLRIw4mI5JDWlKvhwFHhQNGGw0QrgfXaHktEcoUlrQv1gz83Au4AjnQJNyedTu8caTgRkRzUmnK1FD8EsDEbAV+1Po6I5ApLWin1gz974gd/3qzBnyIia9aacvU8cJmZ/Q+oCu9zZtYdP99qTLbCiUjHs6T1Bc7F//+cxg/+/JsGf4qINE9rytWvgdfwb7l+Cb/v6g/ANuGvL8taOhHpMJa0AdQP/qwELgX+qcGfIiIt05ohohVmNhT/TXh/4BOgH/AAcINzbmF2I3YO6XR6ADAg/O2Quo/pdLrVx+zbt29pdXU1ZWVlO6bT6aVtjJiVTAWSKxcztVuu61+7vs9NE246zbDDuse6f7b7wN2veuCIB17o16NfLbDNWr5WQf1Z5UquXMxUILlyMVNB5GpPsVjsnWwf05zG0WRFOp2+HEhEnUOkud778j2uff1aHp32KLsN3I1f7fErDt78YMws6mgiIh0mFotl/ZueylWWNLJy9QD+HVbTW3vMmpqa0urq6pfLysr2KikpycZPEG3OVCC5cjFT1nKdPebsHYKZwagvv/nye/179J9w8OYH3/HXH/713VhxLLJMkJt/VrmaKxczFUiuXMxUELnaU3usXDXrtKCZzcLvp2oW59ymrU7UScVisXnAPICM5c/pbfmPVllZ2Qtg0aJFU8rLy9u0mThbmQohVy5mamuucPDnAcBvgR90Kery5HNHPsf2/bffX39WnS9XLmYqhFy5mKlQcnU2zd1z9Syrl6sjgD7Ai8B8YH1gH2AR8GQ2A4pI64WDP4/CT1PfDrgPOHPWT2fNww8EFRGRLGtWuXLOnVv3azO7GJgLbO+cq8q4vy9+DMPcbIcUkZYJB3+eAvwK2BA/+DPuEm4uQCqVampWnYiItFFrRjGcD5ydWawAnHOLzOwq4C/An7IRTkRaJhz8eSZwEVAK3Azc4hJuQaTBREQKSGvK1TpA7yYe6w30bX0cEWkNS9o6+MGf5wHfUj/4szrSYCIiBag15ep/wDVmNsc5N77uTjMbCVwdPi4iHcCSVg78AvgZfv/jb4F7NfhTRCQ6rSlXPwMC4EUzW4yf5LwuftXqXeCs7MUTkcZY0jbD76c6Hf8W51HAYy7haqLMJSIirZvQPg8YbmYHAbviZzvNAyY4557Lcj4RaeD7//j+sfhi9Qb+nYBjXEID60REckWLypWZdcXv6xgbFimVKZEOdMObNzAhNeFi4FSXcA9EnUdERL6rReXKObfCzH4PvN1OeUSkEZY027r/1qM+WfQJh2x+yK+fOekZFSsRkRzVmj1Xk4FtgJeznEVEGhFOV79q+oLpPw6ODzhwswPHRZ1JRESaVtSKzzkfuNDMjjKz7tkOJCL1LGlFwE3AuSdtf9LoAzc7MOpIIiKyFq1ZuXoR6AI8CmBm37D6pXGcc66pOVgi0kzhpWtuB44D9r/nsHtWRBxJRESaoTXl6npacBFnEWk5S1oJ8E/gIGAfl3CT0un0zhHHEhGRZmjNKIbL2yGHiITC6wI+COwJjHAJ937EkUREpAVas3KFmQ3AXwzWARXh7CsRaSNLWnfgMWBHfLGaEXEkERFpoRZtaDezM81sBjAXeBN4C5hrZjPMbFR7BBQpFOFFl5/Bvxv3BypWIiKdU7NWrszMgH8BxwOf4N+99Fn48GDgEOB2M9vbOXdiewQVyWeWtN7As/hLSf3AJdzciCOJiEgrNfe04JnAMcDZwB3OuZWZD5rZRfhrm91qZi855+7MbkyR/GVJWwd4HuiGPxX4RcSRRESkDZp7WvAM4Fbn3O0NixX42QvOuTuA2/BFTESawZK2HvAS/v/FvVWsREQ6v+aWq62Bp5vxvGfC54rIWljSBgLjgaXAvi7hFkQcSUREsqC55aoWPzh0bWLhc0VkDSxpG+MvIfUFcIBLuKpIA4mISNY0t1xNBk5oxvOOD58rIk2wpG2BL1YfAYe4hPs64kgiIpJFzS1XfwFONbM/mlnPhg+aWamZ/QE4Fbg1mwFF8oklbVt8sXoHONwl3DcRRxIRkSxr1rsFnXMPm9luwCXAz83sRVYfxTAS6Avc6Jx7tD2CinR2lrSdgLHA/4BTXMKlI44kIiLtoNkT2p1zvwhL1YX4uVZdw4dWAK8Bf3bOPZv9iCKd396P7r0L8DjwJHCGSzjtTRQRyVMtuvyNc+4Z4BkzKwb6h3cvcE7/UIg05c15bzKzamYA3Aec6xLfHWciIiL5o1XXFgzL1PwsZxHJO7s/uPs+lcsq6V7S/e/Lapad7xLORZ1JRETaV6vKlYisnSXtMODhC3a6gFHbj7psm022UbESESkALbpws4g0jyXtOODxsljZlb8c9kv6dO0TdSQREekgKlciWWZJOxV/ofOLpp8+/c9R5xERkY6lciWSRZa0nwH3AGe7hLs56jwiItLxtOdKJEssaRcA1wGnu4S7P+o8IiISDa1ciWSBJe1S4FrgBBUrEZHCppUrkTawpBnwB+Ai4EiXcM9EHElERCKmciXSSmGxugH4GXCoS7j/RhxJRERygE4LirTeZcAFwFNArSVt3YjziIhIDtDKlUjrTQAeBLYDngdilrT5wPvAVOD9Lftu+ekzhz9Daaw0wpgiItKRVK5EWskl3PP4UoUlrQuwBbA9vmxtDxw+c9HMTbb8x5YYNtnhphKWrvDjTJdw6WjSi4hIe1G5EskCl3DfAh+Et1UuGXPJgD3L90yd9vxp1y9cvnALYHdgFLAekLakTSdjpSv8+Lku7iwi0nmpXIm0o9FDRy8FmHrK1PvKy8uX1N1vSVsPv8JVt8oVB34L9AS+tqQ1LFzvf/vbbzs4vYiItIbKlUgEXMJ9CbwY3gCwpBUBG7H6qcUzgCFArMfVPb7aa6O9mFU166JZVbNexJeuD13Cfd3hL0BERJqkciWSI8JTgbPD29N199ft5xoxeMRhwwcMv+q9+e8NBC4FNgkf/5TvnlrUfi4RkYioXInkuLr9XOl0uitw1RUjr/hFLBZ7x5LWE9iG+pWu3fErXeuj/VwiIpFRuRLppMLTgRPC2yrhvK3MU4vf2c/Vrbjb9N/u+lvufv/uH3xW/dkEl3CVHRxfRCRvqVyJ5JmwKK1xP9dKt3KnB2c8yGfVnz1BI/O50H4uEZFWU7kSKQAN93OlUqlewLFjPxs74Mdjf7wB313p2hS0n0tEpDVUrkQK2AGDD0i7hPvOfK7m7ufabt3tvrpi5BV8vvjzAReMvaBI+7lERFSuRKQRzd3P9dniz0ac+tSpfP3t189QP59rtZUu7ecSkUKjciUizdZwP1c6nd55pVs56fZJtx96wdgLimhkPpcl7UtWP62o/VwiktdUrkSkTYqsiLOHnT3v/D3Of4dG5nOx+n6uw2hiP9fQdYd++mT8SWJFsY5+CSIiWRV5uYrH412B24B9gf7A58CVQRA8ED6+HXAXsAPwKfDzIAheyXjsemAXoB/QPQiC5Q2OPwK4Fr9/pBr4YxAEt3bASxMpaE1db7Gp/VyTKyevv8Xft6DW1b6+0q18D83nEpFOKvJyhc+Qwper2cD3gGfj8finwEQgAP4GjACOBZ6Kx+ObBUGwCEgDjwC3kPETc514PL4V8CjwE+B5oAdQ3s6vR0TWoKn9XMc/ePwmx2xxzKejXhj1z8XfLt6Cxq+3qP1cIpLzIi9XQRAsBX6Xcder8Xj8NXzJ6okvRNcGQbASuD8ej18IHAXcHQTBDGBGPB7fuInD/x9wZxAEz4S/XxzeRCTH/HnEn78C+PC0D/9Wd5HrjPlcdacVm7WfSxe5FpEoRV6uGorH46XAMOAm/DfUqWGxqjM5vL859gBmxePxqcB6wOvA6CAI5mYxsoi0kwbzuep+SMKSFgO2pIn9XGXXlM3df9P9mfnVzLNnLpz5XzSfS0Q6UE6Vq3g8bsDf8acLxgK78t2VpiqgdzMPOQg4DTgQ+Ax/+vAB/CnGrEqlUl2BrgB9+vQpLS4upra2trSysrJXGw5bVvcxlUq1KV8WM+V9rlzMlKu5ospUMaoCYE54G1N3/y2Tbyl9/OPHhwzqPejATXpv8us35r4x1LDDHG49IF18RfHMEiv5sGtx1w97dun54ZZ9tvzwmh9cM2dQ2SCXjVxro+8NnTtXLmYqoFztpm6lPJvMuTV9T+k4YbG6Hf9T6AFBECwNTwH+MAiCAzKedxdQHQTBhRn3bQzMosGG9ng8XgXcEgTB/4W/HwjMBcqCIMjq28BTqdTlQCKbxxSR7Phq2VdMXzSd6QunM2PRDKYtnMaMRTNYml5KaayUrfpuxZC+QxiyzhC26rsVW6+zNf2694s6toh0gPLycsv2MXNi5SosVrcBOwH7hfuwwO+j+FU8Hi/KODU4FPhrMw/9HtCwPbZXm7wKuAGgT58+OxYXF79cW1u7V1VV1ZQ2HLMMXwY3xL/TsdWymCnvc+ViplzNlYuZGsvVr3s/9uy+J3uW77nqOXOq59ivX/n1oI+qPtr6o0Ufbfv+gve3qXE126x0K7cEYoZVFlvxB2Vdyj6+dNdLz3h61tOH7TFgj0mjh45e2vRXblmuNrzEvP57lau5cjFTAeXqVHKiXAG34t+OvW8QBJnLc+OA5cBF8Xj8ZuBo/J6KJ2BVKVt1Og7oGo/HyVi9ugv4fTwevxd/+uB3wEvZXrUCKC8vXwGsAEin00sBioqKlrZluTFjSba6rcuW2cpUCLlyMVOu5srFTM3NVU4547Yatxj/Q9yjdffX7edyuO1rXM12X6e/3umWybfwWfVnT4+fO56r3756Fqtvon8fmNGc/Vz63tC5c+VipkLJ1dlEXq7i8fhg4Gx8MZkTj8frHroyCIIr4/6Ou4Ar8HOujgiCYGH4nMH404F1qsKPBhAEwb3xeHwj4DUgBowHTmnHlyMinVxYklbN5wovcr34lsm3lF/99tWDqN9EvxvwUxpcbxHN5xIpeJGXqyAIPiMsQ008PhX/Tayxx2av6XPD5/wB+EMbIoqIMHro6KVXHXxVU9dbrHvH4nasYT7Xj7b90Yrr9ruOdUvX7djwItKhIi9XIiKdWTjI9KXwBoAlzfAr65ml64yHPnho6wc/eJCSopIXalbWvMvqK10f6HqLIvlB5UpEJMtcwjkamc81Z9GcXb9a9tVbv/zvL6/976z/9sSXrszrLbZ6P5eI5A6VKxGRDrJBzw1qNui5AWN+NGZsLBZ7p+7+Rq63uMb9XCMGjph1/w/vp8iKOv5FiMhaqVyJiESsqestNrWfa3zF+J5D/jmE5TXL/1vraqeg6y2K5BSVKxGRHNXUfq4RA0ds++Ntfzx19Eujx1Snq7fgu9dbfN4l3KnRpBYRlSsRkU7EJZxLpVKfA0w/ffoN5eXlS8IN9Efir3LRAyiogY0iuUYn7EVEOjFL2p7AK8BDwL+ATV3CXR9tKpHCppUrEZFOaPrC6Rz0xEEPAQcB9wMnu4SbHW0qEQGVKxGRTsWSNrhrcdcr0yvTFFtxETDUJdx7UecSkXoqVyIinYAlrT9+8vs5NStrJj92yGPsNmC34wrtmm0inYHKlYhIDrOklQIXAr8E5gLHvXfKey/16dpncbTJRKQpKlciIjnIkhYDRgG/A74FLgDudQlXG15MWkRylMqViEgOsaQVAcfhLzjfF7gSuM0l3PJIg4lIs6lciYjkgHBW1f7A1fiBoH8GrnUJVxVpMBFpMZUrEZGIWdKG40vVCOBO4BCXcPOiTSUiraVyJSISEUvalsAfgaOBR4GtXcJ9FG0qEWkrTWgXEelg90+9v78l7W/Ah0AfYFeXcMerWInkB61ciYh0kHGzx/V8YdYLXPfGdU8BHwAHuYT7b9S5RCS7VK5ERNqZJa07cG6xFV+2SZ9N2G+T/S5/YdYL17qEWxl1NhHJPpUrEZF2YkkrAU4DLgdKhpUPu/XFk1/8baw49kIsFlOxEslT2nMlIpJlljSzpB0JvAfcAPwV2PyV0175d6w4Fm04EWl3WrkSEckiS9oI/FiFnYBbgatcwn0FkE6no4wmIh1E5UpEJAssaTsCVwEHAv8EjncJ93m0qUQkCipXIiJtYEnbBPg9cCIQADu4hPsg2lQiEiWVKxGRVrCkrQdcBpwFvAl83yXc69GmEpFcoHIlItIClrQy4KLwNgs4EhjjEs5FGkxEcobeLSgi0gzBJ0EXS9p5wCfA6cDZwE4u4Z5VsRKRTFq5EhFZgznVc2zCFxM4f9z5E4FS4A/A7S7hVkQcTURylMqViEgjLGkG/LDIiq7pVtyNHrEeDy5NL73KJdySqLOJSG5TuRIRacCStjtwDbBHl6Iu97x+/Ovbrdtj3avKy8tVrERkrVSuRERClrStgSuBw4EHgSGf/OSTBcDPIg0mIp2KypWIFDxL2iD89f9OB8YCO7uEmwyQSqV6RZdMRDojlSsRKViWtHWAS4DRwBRgX5dw4yINJSKdnsqViBQUS1oRsAdwPHAq8AV+uvoTGqkgItmgciUieS98598w4ATgOKAceBE4D/iXS7iaCOOJSJ5RuRKRvOSc49KXLt3iujevOxZfqDYBXsFvWP+3S7gvIw0oInlL5UpE8oolbZsh/Yb8bKVbycyFMx/CX/fvZuAxl3AVEccTkQKgciUinZ4lbXP8Hqrjge3nLJkz7bIfXEZprPSQ0buPHhNxPBEpMCpXItIpWdIG40/3HQ/sArwPPAQcveiXi8qASfjN6iIiHUrlSkQ6DUtaOXAsvlDtAczEF6pTXcJ9WPe8dDq9czQJRURUrkQkx1nS1gOOxheqvYDZwMPA2cAUjU8QkVyjciUiOScc7nkkvlDtgz+99zDwK+BtFSoRyWUqVyKSE/408U9lm/belItfvvgRfKFaCDwKXAG87hJuZaQBRUSaSeVKRCJjSSsFDsWvUB3cp2sfiq04lSZ9EDDeJVxttAlFRFpO5UpEOpQlrRvwQ3yhOgxIA09s2HPDE189/tV/x4piF5SXly+JNKSISBuoXIlIu7OkdQH2xxeqI4Ai4CngR8DzLuFWpFKpXhFGFBHJGpUrEWkXlrQSYG98oToK6A48A/wEGOMS7psI44mItBuVKxHJGktaMfB9fKE6BugNPAecCzztEq46wngiIh1C5UpE2sQ5x7nPnbv9ne/eeSp+Yvp6wAv4sQlPuoSrijSgiEgHU7kSkRazpBmw82Z9NzsvXZvm8yWf3wOMAy4HHncJtyDKfCIiUVK5EpFmCQvVdtRfIHnzym8q371ixBX0697voJOHnvxCtAlFRHKDypWIrJElbSt8mToB2BqYAPwVeHTBRQvWxV8g+avoEoqI5BaVqyxJp9MDgAHhb4fUfUyn060+Zt++fUurq6spKyvbMZ1OL21jxKxkKpBcuZipQ3Pd+vat5X+f8vcDPln0yYHAlqWx0hmb9t107Gk7nPbr83Y9ryJ82rodmamF8jpXLmYqkFy5mKkgcrWnWCz2TraPaU6X6MqKdDp9OZCIOodIa81ZMod/T/s3j3z4CBPnTWRIvyEct81xHLvNsWzVb6uo44mItItYLGbZPqbKVZY0snL1AHASML21x6ypqSmtrq5+uaysbK+SkpJs/ATR5kwFkisXM7VLrpfnv3zENW9cs8fMr2YeuOTbJUO7FnedM7j34LFHDjly7O9+8LuPY8WxDs+Uq39WuZQrFzMVSK5czFQQudpTe6xc6bRglsRisXnAPICM5c/pbfmPVllZ2Qtg0aJFU9p6OZBsZSqEXLmYKZu5LGn9+3bte+LW62zN6/NefxyYCzwM/HRF7Yp3Z4ye0eyfuPL9zypXc+VipkLIlYuZCiVXZ6NyJVIALGl98JedOQHYr2pF1Zdb99uaymWV+39U9dFLLqElbBGRbFG5EslTlrQyII5/p9+BwGLgMWCfN054Y8qgskFVwMTy8nIVKxGRLFK5EskjlrQewMH4FapDgGXA4+Gvx7mEqwHQRZJFRNqPypVIJ2dJ6wochF+higMrgSfx1/Z7wSXctxHGExEpOCpXIp2QJS0G7ItfoToCiAFPAycDz7mEWx5hPBGRgqZyJdJJLF6xuOidee/w06d/eikwAugJjAHOBJ51CdfWt02LiEgWqFyJ5LhwH9WVJUUlJxvG/7d393FyVfUdxz8nBBGIwSj4hA+0IAoEFJUoUAWLAgIeHwCLIBJFERHbFGoVlCwrFhELCgTkSUFFi9oGOWnlUQgKLxW1CmIRrBoUhaAJBglgIJz+ce7qdbo7u9m9s3eWfN6v17yyO/fOne+cmTn7m3PO3Mxcb+YmwDwg5YE8oa9KS5KaZ3El9b/5wP4v3fSlCxbut3Bg1vqz5q1t54yRpKlkWtsBJI0sDIbZwNHA4dcefG2atf6stiNJkkZhcSX1qTAYpgHnAIvyQF7Udh5J0tg4LSj1r0OB7YCt2g4iSRo7R66kPhQGw1OAjwHH5YF8Z9t5JEljZ3El9adTgCXAgpZzSJLWkNOCUp8Jg2E34EDgZUP/XY0kaepw5ErqI2EwPB74FHBWHsjfbTuPJGnNWVxJ/eX9lDOvf6jtIJKk8XFaUOoTYbCGmAwAAA8dSURBVDBsCRwLHJwH8oq280iSxseRK6kPhMEQKNOB1wBfaTmOJGkCHLmS+sNBwE7ANnkg57bDSJLGz5ErqWVhMDwJOBX4cB7IP287jyRpYiyupPadBPyWcm4rSdIU57Sg1KIwGHam/Dc3u+SBvKrtPJKkiXPkSmpJGAzrAmcDF+SBfH3beSRJzbC4ktpzFPA0yrmtJEmPEU4LSi0Ig+GvgAHg8DyQl7WdR5LUHEeupElWndNqAfBt4PMtx5EkNcyRK2nyvRF4FbCd57SSpMceR66kSRQGw0zgdOBjeSDf1nYeSVLzLK6kyXUC8ABwYttBJEm94bSgNEnCYHgxcCSwRx7ID7WdR5LUG45cSZPg1uW3TgPOAS7OA/nqtvNIknrHkStpEuy7aN93ApsDe7edRZLUWxZXUo/dtfIuVqxacRzwvjyQl7adR5LUW04LSj02/1vzWSescytwXttZJEm958iV1EM7fHGH3Zc+sJStn7z1vJvfc/OjbeeRJPWeI1dSj4TBsOFdK+865bBtD+PyN1z+47bzSJImh8WV1DurZzxuxvlHveiotnNIkiaRxZXUI3kgP/STQ35y2gbrbtB2FEnSJLK4kiRJapDFlSRJUoMsriRJkhpkcSVJktQgiytJkqQGWVxJkiQ1yOJKkiSpQRZXkiRJDbK4kiRJapDFlSRJUoMsriRJkhpkcSVJktQgiytJkqQGWVxJkiQ1yOJKkiSpQSHn3HYGSZKkxwxHriRJkhpkcSVJktQgiytJkqQGWVxJkiQ1yOJKkiSpQRZXkiRJDbK4kiRJapDFlSRJUoMsriRJkhpkcSVJktQgiytJkqQGWVxJkiQ1yOJKkiSpQRZXkiRJDbK4kiRJapDFlSRJUoMsriRJkhpkcSVJktQgiytJkqQGWVxNATHGXWOMd7edYzQxxrkxxm+3naObGOOSGOOebeeoizFeGGM8qe0cnfqxrcD2WhO21dj1cVstjjEe3naOuhjj8THGi9vO0c+mtx1AfxZjfCJwLvAa4D7gX1JKZ01yhguBA4FVtau3Tin9str+LODTwM7A3cD7UkoLe5DjSGAusC1wSUrpgNq22cD5wHbAz4F3p5S+2XHbY4CZwNeAd6aU7utxpiXAU4HV1VV3pJS2qW3fBTgT+GvgZuDQlNKPG8i0XnXc3YCNgV8CJ6aUvlBtb6utRsu1hBbaqzr2ucDewBOA5cC5KaUTq21ttVe3TEtoqa1q9/Fk4Dbgf1NKL6uua6WtRsm0hHbehxcygX4zxrgfcHKV/QbgbSmlX/c402LgZcAjQxtTSjNqt+/6/Ko7R676ywJKwfsMYB/ghBjjK1vIcWpKaUbt8svatn+jdGgbA4cDn40xbtmDDL8BPgKcV78yxrgukIBLgFnAScClMcZZ1fZXAwOUP1SbAusBZ/QyU80bam1W79CfDFwKfLTKfGmVuYkPN9OrXLsBGwHvAs6KMe7YcluNmKu2TxvtBfBJYIuU0kzg5cBbYoz7t9xew2aqbW+rrYacAvyodr9tttWwmWraaqtx9ZsxxucDFwCHVdt/CnxxEjIBzKtvH7pytOdXo3Pkqk/EGDcE9ge2Tyn9AfhB9cnj7ZRPPPV9DwGOB/ZKKd06iRmfC8wB9kkpPQhcFWO8EjgYOG6Y/T8IHADskVL6zZrc19CnuhjjCykdzpBdgQ2Aj6eUHgUuijH+I/BGSjvNBS5IKf2wuv1xwHdjjO9OKT3QkW8z4ArgzJTS6RPINJo3ArfXRm1OBuYBuwBf78j0eODLwErgrSmlh0fJtBKYX7vq+hjjDcBOwAzaa6tuub41ys171l5Vtv/puOpR4Lm0+9oaKdNoetpW1e12BTYHPkMpkqHFtuqSaTQ9b6sRso7Wbx4MXJZSurra/zhgaYxx85TSzzqO9STKKOD1lNGvPN5co9iV7s9vPdM04CzgeUCs/n6t9Ry56h9bAqGjk/0hMLu+U4zxaMpQ+649LKwOizEujzHeFGN8e+362ZRh9t+PkjHEGD9J+dT6ijUtrEYxG/hR9YYfLsNs4KbatluAdej4Q1UNeV8HfGSsHfoYfDbG+NtqjcTOHZn/lCmltLrK1dluGwFXAncCB42nQ6+K9JfUjt8XbdWRa0hr7RVj/GiMcSVlunIGcBEtt9cImYa00lbV9O4C4Aig/oe8tbbqkmlIW6+r8fabnbmWU14DnbmeCXyz7JL+aYyF1UiZhpwQY1wWY7wxxvjajszdnt+hTI8DvgQ8DXiNhdWfWVz1jxmUdVZ1v6eswQBK5wscRClY7uhRjtMphd4mwD8AJ8cY961lXNEtI2U09HPA84FXp5TubTjfaBn+YnvVAd3XkXEnyiflI1NKn28o11uAzYBnUzqby2KMzxljZiid03XAN1JKR3R0amMSYwyU6YUbKX8c+qKthskFLbdXSumY6n7mUIqYe8dwvz1trxEyQbttdQxwRUqpc/qtzbYaKRO011YT6TfHkut5wDeA01K1Fm+CmQDeTxn9ezpl2u/iGOOcNcg0A/gvyujevimlh8aYa63gtGD/uJ+y8LNuI+APtZ/fAxyWUrqnVyFSSv9d+3VxjPFMynTlf4whI5SFottSRtZW9iDiaBmG2z6zI+O7gO9ROoZGpJSur/36qRjjAZQvJpw9hsxU+z4CnDqe+68KmLMp61t2TynlGGPrbTVcLmi/vaoMmTJVtSdlmv3OUe635+01TKaj22qrajrrYOAFw2xu5bU1SqbWXlcT7DfHkutAyhrGzzWUiZTSd2rbF8YYX0eZ9rtxjJnmABsC21ajgKpx5Kp/3A7kGONWteteyJ+nUVZQ3vhnxMn9CvOjQKh+vgXYrBo2H1LPCOVxvBn4aozxRT3IcwuwbTXPP1yGW6h1vNW0w2rKItEhR1A+gZ3fcZwmdbZbPdM0SgFab7cLKJ+0r67WVYxZVcCcCWxPGZofKmpbbasuuYYzae01jOnAFvTXa2so03Amq612phTFS2KMv6MsSH9x9fPPaaetRswUY+wsBqC919Wa9JuduWZRRt7quU6gtN1Xq/VgE800lszdnl+Aa4BjgWuqdXOqceSqT6SUVsYY/50yB/42ygjQXOBNtX1uiDG+AbgkxnhQSunK4Y82fjHGNwGXUYZ6dwKOBN5b3f9PY4zfBT4cY/xAtX0Pyhus/lgWxhjXoQzJ75lS+sE4ckynvD6nA9OqDmU1sBh4CDg6xng6sC+lrS6pbnoh8IUY4xeAX1A6pS91LKJdCewFXA6cF2N8x1jWL3TJ9HTgOcDQJ8FDgB2Ad1S/LwQ+HmN8c/XzPMonwOvqx08pHVWtVbsqxviqNZhSXUD5SvVu6S+/6r6YltqqW64Y47Npqb2qP3CR8k2x+4EdgXdXj30xLbRXt0xtthVlQffVtd/3p4waRWAp7by2umWaFWN8Ae28ribSb14EfCfG+LeUL3t8GPhWx2L2RyijVxdT+v/Xp5T+ON5MsZz2Z0fKa34VZX3sm4Ddq5svpvvzO9RWp1UF2LUxxl17uFxlynHkqr+8h7JA8y7Km2J+Suma+g7VsPe+wBdj+bpz044EfkUZKTsHOC6lVD9Z3AHA1sAyyikJ5qaUbu88SErpK5Q38uVVh7emPgQ8CHyQ0oE+CJxXLS6NwH6UNQAfBF5fLQIlpXQVpSO/nNKOD1c5OvPdTxkJfD5wbjXKMq5MlLUHZ1DOT3Q3pVPfZ6hzTCktA15f3f73lKH316WUHum8g5TSPMp5bq6qOsCuqvUkR1Cek1/FGO+vLse22VbdcrXZXpT311zgDspr/NOUr/QvaLG9RsxEi22VUnogpXTn0IWyBmxV9XsrbdUtE2WKqq3X1bj7zVS+mHQo5ZxSyyjrqw4cJtMj1XEepEzjrTeBTOsCg8A9lPYaoHwr8obqvro+vx25PkF5rV5bfRgQEHLu1Tc5JUmS1j6OXEmSJDXI4kqSJKlBFleSJEkNsriSJElqkMWVJElSgyyuJEmSGmRxJUmS1CCLK0mSpAZZXEmakkIIB4UQbgwhrAgh3BdCuDWEcH4I4SlreJy5IYQcQti4V1klrV0sriRNOSGEDwCfB74J/F11+QzwEuAZLUaTJP/7G0lTTwjh18AVOee3D7NtWs750TU41lzgAmCTnPPvmkspaW3lyJWkqeiJlP8Q+P+pF1YhhLeGEK4PISwPIdwbQlgcQpgz2sFDCOuFEE4MIdwRQvhjNeV4YMc+24QQvhZCWBZCeCCEcFsI4Z8n/MgkTXnT2w4gSePwfeDwEMIvgP/MOd89wn6bAZ8DfgY8DjgQ+EYIYbuc8+1djv9l4G+AQeBWYC/gohDCvTnny6p9EnAPcCiwAtgCeOaEHpWkxwSnBSVNOSGE2cAllIIG4BfAIuATOeclI9xmGmW0/hZgYc752Or6udSmBUMIrwSuAfbIOV9Zu/2Xgc1yznOqxe+/BWLOeVEPHqKkKcxpQUlTTs75FmAbYG/gNMrI0d8DN4cQXji0XwhhqxDCJSGEpcBq4GHgecCWXQ6/O7AcuCaEMH3oAnwd2D6EsA6wDLgD+GgI4ZAQgiNWkv7E4krSlJRzXpVz/lrOeV7OeXtgT2ADYD5ACOEJwJXAc4CjgJcDOwA3AY/vcuiNgSdRCrH65WzKUoqn5zLkvwdlyvBM4FchhO+HEF7R+AOVNOW45krSY0LO+YoQwk3AVtVVO1LWQO2Tc75paL8QwkbAnV0OtZwy5bfXCNvvqe7vNmD/EMK6wE7AicCiEMKmOef7J/RgJE1pjlxJmnJCCE8d5rr1gWcBQ4vb16/+XVXbZyfKIvdurgY2AVblnL83zGVVfeec88M55+uAk4CZeJ4taa3nyJWkqehHIYRFwBWUUzI8A3gvZUrvtGqfbwP3A2eGEE4CNgWOB37d7cA556uqY18eQjgZuBnYkLLGa4uc8ztCCNsBpwBfonwTcSPgGGBJ9buktZjFlaSp6HjgtcCplFGm31GKoN1yztcC5JyXhhD2B/4VuBS4HTgceP8Yjr8f8AHgCMqarRWUbxleUG2/u7ocQynaVlDOFv+WnPPqiT88SVOZp2KQJElqkGuuJEmSGmRxJUmS1CCLK0mSpAZZXEmSJDXI4kqSJKlBFleSJEkNsriSJElqkMWVJElSgyyuJEmSGmRxJUmS1CCLK0mSpAZZXEmSJDXo/wA4bTTF/kQ62QAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (8731329068250)>"
      ]
     },
     "execution_count": 258,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g = (ggplot(df,aes(x='Order Date',y='Sales',group=1)) +\n",
    "     geom_line(color='green') + theme_minimal() + coord_flip() +\n",
    "     geom_point(df[df.index==df.index.max()],\n",
    "               aes(x='Order Date', y='Sales'), color='green', shape=5,size=3) + #change shape\n",
    "     geom_text(df[df.index==df.index.max()],\n",
    "               aes(x='Order Date', y='Sales',\n",
    "                  label='Sales'), nudge_x=50) + #nudge it a bit to the right\n",
    "     #formatting date x-axis\n",
    "     scale_x_date(breaks=date_breaks('1 year'), labels=date_format('%Y')) +\n",
    "     scale_y_continuous(limits=(0,600000),\n",
    "                        breaks=range(0,600000,50000),\n",
    "                        labels=utils.k_format()) +\n",
    "     ylab('Sales') + xlab('Order Date') \n",
    "    )\n",
    "g"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Seismogram\n",
    "Another alternative to the circle timeline for showing series where there are big variations in the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 265,
   "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>Order Date</th>\n",
       "      <th>Sales</th>\n",
       "      <th>half_sales</th>\n",
       "      <th>max_half_sales</th>\n",
       "      <th>high_sales</th>\n",
       "      <th>low_sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2015 Mar</td>\n",
       "      <td>148895.5920</td>\n",
       "      <td>74447.7960</td>\n",
       "      <td>236098.7538</td>\n",
       "      <td>310546.5498</td>\n",
       "      <td>161650.9578</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2015 Jun</td>\n",
       "      <td>173077.5192</td>\n",
       "      <td>86538.7596</td>\n",
       "      <td>236098.7538</td>\n",
       "      <td>322637.5134</td>\n",
       "      <td>149559.9942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2015 Sep</td>\n",
       "      <td>287266.4246</td>\n",
       "      <td>143633.2123</td>\n",
       "      <td>236098.7538</td>\n",
       "      <td>379731.9661</td>\n",
       "      <td>92465.5415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2015 Dec</td>\n",
       "      <td>359255.4604</td>\n",
       "      <td>179627.7302</td>\n",
       "      <td>236098.7538</td>\n",
       "      <td>415726.4840</td>\n",
       "      <td>56471.0236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2016 Mar</td>\n",
       "      <td>137703.4772</td>\n",
       "      <td>68851.7386</td>\n",
       "      <td>236098.7538</td>\n",
       "      <td>304950.4924</td>\n",
       "      <td>167247.0152</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Order Date        Sales   half_sales  max_half_sales   high_sales  \\\n",
       "0   2015 Mar  148895.5920   74447.7960     236098.7538  310546.5498   \n",
       "1   2015 Jun  173077.5192   86538.7596     236098.7538  322637.5134   \n",
       "2   2015 Sep  287266.4246  143633.2123     236098.7538  379731.9661   \n",
       "3   2015 Dec  359255.4604  179627.7302     236098.7538  415726.4840   \n",
       "4   2016 Mar  137703.4772   68851.7386     236098.7538  304950.4924   \n",
       "\n",
       "     low_sales  \n",
       "0  161650.9578  \n",
       "1  149559.9942  \n",
       "2   92465.5415  \n",
       "3   56471.0236  \n",
       "4  167247.0152  "
      ]
     },
     "execution_count": 265,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#mutate to reorder the plot\n",
    "df = pd.read_csv('data/column-line-timeline.csv')\n",
    "df = df[['Order Date','Sales']]\n",
    "df['half_sales'] = df['Sales']/2\n",
    "df['max_half_sales'] = df.half_sales.max()\n",
    "df['high_sales'] = df.max_half_sales+df.half_sales\n",
    "df['low_sales'] = df.max_half_sales-df.half_sales\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 268,
   "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>Order Date</th>\n",
       "      <th>variable</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2015 Mar</td>\n",
       "      <td>high_sales</td>\n",
       "      <td>310546.5498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2015 Jun</td>\n",
       "      <td>high_sales</td>\n",
       "      <td>322637.5134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2015 Sep</td>\n",
       "      <td>high_sales</td>\n",
       "      <td>379731.9661</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2015 Dec</td>\n",
       "      <td>high_sales</td>\n",
       "      <td>415726.4840</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2016 Mar</td>\n",
       "      <td>high_sales</td>\n",
       "      <td>304950.4924</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Order Date    variable        value\n",
       "0   2015 Mar  high_sales  310546.5498\n",
       "1   2015 Jun  high_sales  322637.5134\n",
       "2   2015 Sep  high_sales  379731.9661\n",
       "3   2015 Dec  high_sales  415726.4840\n",
       "4   2016 Mar  high_sales  304950.4924"
      ]
     },
     "execution_count": 268,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_m = df[['Order Date','high_sales','low_sales']].melt('Order Date')\n",
    "df_m.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 285,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (8731329850723)>"
      ]
     },
     "execution_count": 285,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g = (ggplot(df_m, aes(x='Order Date',y='value',group='Order Date')) +\n",
    "     geom_line(size=10,color='green') + coord_flip() +\n",
    "     scale_x_date(breaks=date_breaks('1 year'), labels=date_format('%Y')) +\n",
    "     theme(axis_text_x=element_blank()) + ylab('')\n",
    "    )\n",
    "g"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Streamgraph\n",
    "A type of area chart; use when seeing changes in proportions over time is more important than individual values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 318,
   "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>Date</th>\n",
       "      <th>Sales</th>\n",
       "      <th>Category</th>\n",
       "      <th>steam_pos</th>\n",
       "      <th>steam_neg</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2015-03-01</td>\n",
       "      <td>22656.1390</td>\n",
       "      <td>Furniture</td>\n",
       "      <td>22656.1390</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2015-03-01</td>\n",
       "      <td>14528.6830</td>\n",
       "      <td>Office Supplies</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>-14528.683</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2015-03-01</td>\n",
       "      <td>37262.9740</td>\n",
       "      <td>Technology</td>\n",
       "      <td>18631.4870</td>\n",
       "      <td>-18631.487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2015-06-01</td>\n",
       "      <td>28063.7496</td>\n",
       "      <td>Furniture</td>\n",
       "      <td>28063.7496</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2015-06-01</td>\n",
       "      <td>31243.7350</td>\n",
       "      <td>Office Supplies</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>-31243.735</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date       Sales         Category   steam_pos  steam_neg\n",
       "0  2015-03-01  22656.1390        Furniture  22656.1390      0.000\n",
       "1  2015-03-01  14528.6830  Office Supplies      0.0000 -14528.683\n",
       "2  2015-03-01  37262.9740       Technology  18631.4870 -18631.487\n",
       "3  2015-06-01  28063.7496        Furniture  28063.7496      0.000\n",
       "4  2015-06-01  31243.7350  Office Supplies      0.0000 -31243.735"
      ]
     },
     "execution_count": 318,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('data/area-chart.csv')\n",
    "#select category to half in the middle\n",
    "pos_cats = ['Furniture']\n",
    "mid_cat = 'Technology'\n",
    "neg_cats = ['Office Supplies']\n",
    "\n",
    "def steam_pos(row):\n",
    "    if row['Category']==mid_cat:\n",
    "        return row['Sales']/2\n",
    "    elif row['Category'] in pos_cats:\n",
    "        return row['Sales']\n",
    "    else:\n",
    "        return 0\n",
    "def steam_neg(row):\n",
    "    if row['Category']==mid_cat:\n",
    "        return -row['Sales']/2\n",
    "    elif row['Category'] in neg_cats:\n",
    "        return -row['Sales']\n",
    "    else:\n",
    "        return 0\n",
    "df['steam_pos'] = df.apply(steam_pos,1)\n",
    "df['steam_neg'] = df.apply(steam_neg,1)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 322,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (-9223363305526088311)>"
      ]
     },
     "execution_count": 322,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g = (ggplot(df) +\n",
    "    #one for positive and one for negative y-axis\n",
    "    geom_area(aes(x='Date',y='steam_pos',fill='Category',group='Category')) +\n",
    "    geom_area(aes(x='Date',y='steam_neg',fill='Category',group='Category')) +\n",
    "    scale_x_date(breaks=date_breaks('6 months'),\n",
    "                labels=date_format('%m-%y')) +\n",
    "    theme(axis_text_y = element_blank()) + ylab('Sales')\n",
    "    )\n",
    "g"
   ]
  }
 ],
 "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": "3.6.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}