ranking.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Ranking\n",
    "Use where an item's position in an ordered list is more important than its absolute or relative value. Don't be afraid to highlight the points of interest."
   ]
  },
  {
   "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": [
    "## Ordered bar\n",
    "Standard bar charts display the ranks of values much more easily when sorted into order"
   ]
  },
  {
   "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>Region</th>\n",
       "      <th>Sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>West</td>\n",
       "      <td>725457.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>East</td>\n",
       "      <td>678781.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Central</td>\n",
       "      <td>501239.89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>South</td>\n",
       "      <td>391721.90</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Region      Sales\n",
       "3     West  725457.82\n",
       "2     East  678781.24\n",
       "1  Central  501239.89\n",
       "0    South  391721.90"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('data/ordered-bar.csv')\n",
    "df = df.sort_values('Sales',ascending=False)\n",
    "ordered_cats = df['Region']\n",
    "df['Region'] = pd.Categorical(df['Region'], categories=ordered_cats, ordered=True)\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: (8750236985064)>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g = (ggplot(df,aes(x='Region',y='Sales')) +\n",
    "     geom_col() + coord_flip() +\n",
    "     scale_y_continuous(limits=(0,900000),breaks=range(0,900000,100000),labels=utils.k_format())\n",
    "    )\n",
    "g"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Ordered column\n",
    "See before"
   ]
  },
  {
   "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>Region</th>\n",
       "      <th>Sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>West</td>\n",
       "      <td>725457.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>East</td>\n",
       "      <td>678781.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Central</td>\n",
       "      <td>501239.89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>South</td>\n",
       "      <td>391721.90</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Region      Sales\n",
       "3     West  725457.82\n",
       "2     East  678781.24\n",
       "1  Central  501239.89\n",
       "0    South  391721.90"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('data/ordered-bar.csv')\n",
    "df = df.sort_values('Sales',ascending=False)\n",
    "ordered_cats = df['Region']\n",
    "df['Region'] = pd.Categorical(df['Region'], categories=ordered_cats, ordered=True)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAlIAAAHHCAYAAAB0nLYeAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD+naQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvOIA7rQAAIABJREFUeJzt3XuUZWV57/vvhC4Qobptb2ChsiOSHAfueARFiALNRdPqzpOwFS8IJi0xkcR4C3A0YiRGPYgKOrxEkhxvJJ2t7I36xIwQ2ZAGucQmtKInJzEIeMECBEW6BMXq7nn+mLNgUXY39Ntz1Vo16/sZo8eaa853vfWuenpV/eqd75qrqusaSZIk7bhdRj0ASZKkxcogJUmSVMggJUmSVMggJUmSVMggJUmSVMggJUmSVMggJUmSVMggJUmSVMggJUmSVMggJUmSVMggJUmSVMggJUmSVMggJUmSVMggJUmSVMggJUmSVMggJUmSVMggJUmSVMggJUmSVMggJUmSVMggJUmSVMggJUmSVGjZqAeg/pienl4O3AWsmJqa2jjq8agb1rWfrGs/WdeF54yUJElSIYOUJElSIYOUJElSIYOUJElSIYOUJElSIYOUJElSIYOUJElSIYOUJElSIYOUJElSIYOUJElSIYOUJElSIYOUJElSIYOUJElSIYOUJElSIYOUJElSIYOUJElSIYOUJElSIYOUJElSIYOUJElSIYOUJElSIYOUJElSIYOUJElSIYOUJElSIYOUJElSIYOUJElSIYOUJElSIYOUJElSIYOUJElSIYOUJElSIYOUJElSIYOUJElSIYOUJElSIYOUJElSoWWjHsBiNDs7e9CoxzCOVq5cuefMzAyTk5NPm52dvXvU41E3rGs/Wdd+sq7bNzExsaHrPqu6rrvus/dmZ2f9pkmStMhMTExUXffpjFSZg0c9gHG0adOmPWdmZi6fnJw8YtmyZf4l1BPWtZ+saz9Z14XnjJQ6Mz09vRy4C1gxNTW1cdTjUTesaz9Z136yrgvPxeaSJEmFDFKSJEmFDFKSJEmFDFKSJEmFDFKSJEmFDFKSJEmFDFKSJEmFDFKSJEmFDFKSJEmFDFKSJEmFxuKz9iLiIOA9NOP5EfCazLw9Ip4OnAvsDlyQmecMPOZE4BSgAt6WmZe0+y/KzNUL/RwkSdLSMy4zUmcBx2fmUe32uyNiF+Bs4LjMPAw4MCIOBYiIJwEBHA4cC5wREXuNZuiSJGmpGnmQiog9gLsy88cAmXkN8ETgMODSzLyzbXoWcFK7/XLg3Mzckpn3AGuB5y/syCVJ0lI38iCVmT8FdouIX4uIXSLi9cDVwJHA5QPtrgf2b+8eAqwf6GYdzezUA0TEqoh43bDGLkmSlraxWCMF/BFwBfBw4GvAauAc4NZ57ba0t8syc/PA/luAvQcbRsRRwMnAmmEMWJIkaeRBKiJ2Bc4DXkQTol4OvBeYADbPa161t/Nn0ja17ef6PIYmQK3JzNmuxzw9Pb286z57YnLudnp6eqQDUaesaz9Z136yrtsxNTW1ses+Rx6kgKOAq9q1UQCfjoiXAf8CTAHfHmg7F6C2RMSuA7NS+9LMSkETqN4CXDmMENW6a0j99sXNox6AhsK69pN17SfrunXVgzfZMeMQpJbzi6fw7gAuA1YBVwFExAHADe3x9cCz5o4BR7ftoZmdWg28PyKOz8wLhjDmFUPosw8maV68jwdmRjwWdce69pN17SfrusDGIUitBz4ZEWsz8+6IeDKwH82aqbdHxHmZ+UPgrcBH2secTxOUXgTsAbwCeGF7rM7MOiJOAy6MiBsyc0OXAx7G1GAfDEwjz/g96g/r2k/WtZ+s68Ibh3ft3Qx8GPiniFhHE5ZOaU/bnQp8LiKuBr46d/ovM28ELqQJWxcDZ2bm3fP63UyzTuqciNhnoZ6PJElaOqq6rkc9hqGKiJXAxnnv8tMQtIvw7wJW+JdQf1jXfrKu/WRdF944nNobqoELekqSJHVq5Kf2JEmSFiuDlCRJUiGDlCRJUiGDlCRJUiGDlCRJUiGDlCRJUiGDlCRJUiGDlCRJUiGDlCRJUiGDlCRJUiGDlCRJUqHef9beMMzOzh406jGMo5UrV+45MzPD5OTk02ZnZ+8e9XjUDevaT9a1n6zr9k1MTGzous+qruuu++y92dlZv2mSJC0yExMTVdd9OiNV5uBRD2Acbdq0ac+ZmZnLJycnj1i2bJl/CfWEde0n69pP1nXhOSOlzkxPTy8H7gJWTE1NbRz1eNQN69pP1rWfrOvCc7G5JElSIYOUJElSIYOUJElSIYOUJElSIYOUJElSIYOUJElSIYOUJElSIS/IOUInnHBCXy/iddeoB9CltWvXdn4lXElSPzgjJUmSVMggJUmSVGjkp/Yi4snAX8/bfSgwBewHnAvsDlyQmecMPO5E4BSgAt6WmZe0+y/KzNULMXZJkrS0jXxGKjO/lZmr5v4BbwU+A/wYOBs4LjMPAw6MiEMBIuJJQACHA8cCZ0TEXiN5ApIkackaeZDaitOBNwOHAZdm5p3t/rOAk9rtlwPnZuaWzLwHWAs8f8FHKkmSlrSxClIR8Uzgu5l5C3AkcPncscy8Hti/vXsIsH7goetoZqfm97cqIl43tAFLkqQlbeRrpOb5beBD7fY+wK3zjm9pb5dl5uaB/bcAew82jIijgJOBNUMYpyRJ0tgFqadk5jfb7Qlg87zjc9fzmT+TtqltD0BEHEMToNZk5mzXg5yenl7edZ8aX9abybnb6enpkQ5EnbKu/WRdt2Nqampj132OTZBqF5DfOLDrFpp37n17YN9cgNoSEbsOzErt27aHJlC9BbhyGCGq1asLTupBWe/GzaMegIbCuvaTdd26zi+wPDZBCngqcN3A/cuAVcBVABFxAHBDe2w98Ky5Y8DRbXtoZqdWA++PiOMz84IhjHVFR/34C3px6Krei9UkzQ/lxwMzIx6LumNd+8m6LrBxClL7AXcM3L8CeHtEnJeZP6S5LMJH2mPn0wSlFwF7AK8AXtgeqzOzjojTgAsj4obM3NDlQIcxNajxtdTrPXB6YGapfy/6xLr2k3VdeOP0rr1JYO5SB7Sn7U4FPhcRVwNfzcxr2mM3AhfShK2LgTMz8+7BztrHrwHOiYh9FuYpSJKkpaSq675+bm4jIlYCG+e9y28s9PhDi3tlqX9ocbvY/i5ghX/h9od17SfruvDG6dTeUAxc0FOSJKlT43RqT5IkaVExSEmSJBXq/ak9aaH1eO1bry7XsdTXvknqhjNSkiRJhQxSkiRJhQxSkiRJhQxSkiRJhQxSkiRJhQxSkiRJhQxSkiRJhQxSkiRJhQxSkiRJhbyyeYHZ2dmDRj0GLRzr3U9Lva4rV67cc2ZmhsnJyafNzs7ePerxqBvWdfsmJiY2dN2nQarMtaMegBaU9e6nJV3XZcuWsXLlSoDLRz0Wdce6PqjOPxrKIFXm4I76WdI/yBeRHa23dV0cunodL0qbNm3ac2Zm5vLJyckjli1b5sxFT1jXhWeQKjCMqUGNL+vdT0u9rrfffvtygDvvvPO6qampjaMej7phXReei80lSZIKGaQkSZIKGaQkSZIKGaQkSZIKGaQkSZIKGaQkSZIKGaQkSZIKGaQkSZIKGaQkSZIKGaQkSZIKjdVHxETErsBLgOnMvCwing6cC+wOXJCZ5wy0PRE4heYDCN+WmZe0+y/KzNULP3pJkrTUjM2MVEQ8HlgHPAr4SkTsApwNHJeZhwEHRsShbdsnAQEcDhwLnBERe41k4JIkackaiyAVEQ8HLgTekJkfzsyfAYcBl2bmnW2zs4CT2u2XA+dm5pbMvAdYCzx/occtSZKWtrEIUsCbgY9l5rUD+44ELp+7k5nXA/u3dw8B1g+0XUczO/UAEbEqIl7X+WglSZIYgzVSEVEBLwWujojfAb4GnA7sA9w6r/mW9nZZZm4e2H8LsPe8fo8CTgbWdD3m6enp5V33qfFlvfvJujI5dzs9PT3SgahT1nU7pqamNnbd58iDFPDLwGOBczLz6xFxAvAuYALYPK9t1d7On0nb1LYHICKOoQlQazJzdghjvmsIfWp8We9+sq6Nm0c9AA2Fdd266sGb7JhxCFKPAj6dmV8HyMy1EfHbwJXAFPDtgbZzAWpLROw6MCu1L82sFDSB6i3AlUMKUQArOurHH+SLw47W27ouDl29jherSZpfto8HZkY8FnXHui6wcQhStwL3zttXA5cBq4CrACLiAOCG9vh64Flzx4Cj2/bQzE6tBt4fEcdn5gVdD3gYU4MaX9a7n5Z6XQdO+8ws9e9Fn1jXhTfyxeaZeSPwlIiYAoiII4HbgCuAYyPiUW3TtwKfaLfPB06LiF0iYk/gFcA/tMfqzKyB04ATI+KgBXoqkiRpiRl5kGqdDpwfEV8G3gSc1p62OxX4XERcDXw1M6+B+8LXhTRh62LgzMy8e7DD9vFrgHMiYp+FeyqSJGmpGIdTe2TmvwPHbGX/BuCIbTzmfJqZqfn7Vw9s/ygijgOc3pQkSZ0biyA1TAMX9JQkSerUuJzakyRJWnQMUpIkSYUMUpIkSYUMUpIkSYUMUpIkSYUMUpIkSYUMUpIkSYUMUpIkSYUMUpIkSYUMUpIkSYUMUpIkSYV6/1l7wzA7O3vQqMeghWO9+2mp13XlypV7zszMMDk5+bTZ2dm7Rz0edcO6bt/ExMSGrvs0SJW5dtQD0IKy3v20pOu6bNkyVq5cCXD5qMei7ljXB1V13aFBqszBHfWzpH+QLyI7Wm/rujh09TpelDZt2rTnzMzM5ZOTk0csW7bMmYuesK4LzyBVYBhTgxpf1ruflnpdb7/99uUAd95553VTU1MbRz0edcO6LjwXm0uSJBUySEmSJBUySEmSJBUySEmSJBUySEmSJBUySEmSJBUySEmSJBUySEmSJBUySEmSJBUySEmSJBUai4+IiYiTgTcBt7e7Pp2ZH4+I5wJvB3YFPpSZawcecxrwW8Bm4I8y87p2/0WZuXpBn4AkSVqSxmVGahJ4S2auav99PCKWA38MHAM8BzghIvYDiIjnAE/IzGcDLwY+EBGdf6KzJEnS9oxTkPrJvH2/AXwqM+/NzM3AB4GXtMdeCZwFkJk/AK4CnrFAY5UkSQLGK0jNzNt3JHD5wP0vA89ut/fNzOmBY+uAw+d3GhEvi4jjOxynJEnSfcZijRRNkDo3IrbQhKJ3AHsDt801yMyfRcRu23j8LcCxgzsi4gTgmZn5xqGMWJIkLXnjEqQ+T7Me6qfAG4E30yww3zKv3dw6qPkzaZuAibk7EXEScHBmvmEYg52enl4+jH41nqx3P+1oXU899dS7hjWWEevV83rf+963YtRjGLHJudvp6entNlyKpqamNnbd51gEqcz8p4G750TERcA0sE97S0TsDvy8bTN/Yfm+NLNSAPsBvwd8fGgD7tkPHj0o691P1rWfrGvj5lEPYEx1/sa0oiBVVdWTgZvqut7c3t8f+APgJuAjdV3XpQOKiIcBPwMuA1YBc5c8OAK4st2ejoh9M/P77f2jgS+02zcDzwPWRsQ3M/Oq0rFsR1d/8fiCXxx2tN7WdXGwrv3kjFTze/Dx/OLaYw1B6YzU3wD/DbijqqpJmlNz7wN+CTgbOO2hdhQRjwF+nJmz7azTR4BPAv8MXBgRF9KcunsjzUwTwCeAM4BTImIf4ND2PsDmzKwj4tXA5yPiVZn53cLnuVXDmBrU+LLe/WRd+2mp13XgdN7MUv9eLJTSd+1truv6jnZ7DfBXdV1/qq7rM4Fn7mBfvwpcFRGXAf8AXJyZn8/Mu4D3AJcAV9BcCuFmgMz8MnBTRFwJfBZ4fWY+YBYsM38CvBr4RETsWfQsJUmStqN0RmpzVVXLaM41vormUgVFfWbmJWwjfGXml4AvbePY2TSzX/P3rx7YvikiXpqZd+/ImCRJkh6K0iD1YWA9UAOfqev6LoCqqh7Z7hsbmXnHg7eSJEnacUVBqq7rz1ZVdQUwWdf1NwcO7UJz6QJJkqTeK778QV3Xv3CBinbdlDNAkiRpSShabF41XltV1TVVVV07sP+XqqryI1kkSdKSUPquvTcDB9Nc22nw7ZXTwGt2dlCSJEmLQempvf8O/Fpd17NVVd23uLyu63urqtrW5+FJkiT1SumM1Gxd17PbOGaQkiRJS0JpkNpSVdUvfF5NVVXLGfjwYEmSpD4rDVJ/A/zp4I6qqiZori91/s4OSpIkaTEoClJ1XX8MmKiq6hJg/6qq/gr4N2CmrutzuxygJEnSuNqZ60idUVXV3jQfGPww4D11XX+rs5FJkiSNueIgBVDX9W3AFwb3VVX1+rquP7hTo5IkSVoEdipIzVdV1f40l0bodZCanZ09aNRj0MKx3v1kXftpqdd15cqVe87MzDA5Ofm02dnZu0c9nnEzMTGxoes+H3KQqqrqz9n2BxLvATwROBA4qYNxjbtrH7yJesR695N17aclXddly5axcuVKgMtHPZYx9QtXHNhZOzIjtb31Tz8DPg98pa7rTTs3pEXh4I76WdIv+EVkR+ttXRcH69pPXf18XpQ2bdq058zMzOWTk5NHLFu2zBmpBfCQg1Rd158a5kAWk2FMDWp8We9+sq79tNTrevvtty8HuPPOO6+bmpra+GDttfN2ao1UVVW7A4/l/qmyPYF96rr+550dmCRJ0rgrClJVVe0HfApYCTwB+H+BRwKPB84CDFKSJKn3Sq9s/kHgo3VdPw24rq7rI+q6firwAeCWzkYnSZI0xkqD1L51XX+23R58J987gDU7NyRJkqTFoTRIzQ5s31RV1a8A1HW9ZSf6lCRJWlRKQ8/D2oXmAJ8D/hCgqqrHALt2MTBJkqRxVxqk/pLm3XrUdf1FYLeqqq4D/hX4s47GJkmSNNaK3rVX1/XH5rarqnokTYC6Efh4Xdd3dDQ2SZKksfaQZ6SqqvpwVVVPnLfvccBVNB8Pswz4p/ltJEmS+mpHZqSeWdf1d+ft+3Pg9LquE6Cqqi8C7wRe2dH4JEmSxtaOBKl7B+9UVbUCeHpd1787t6+u66+3s1RFIuKxwB8D52TmbRHxdOBcYHfggsw8Z6DticApNFdVf1tmXtLuvygzV5eOQZIk6aHakcXm89+Ntwb4u62026NkIBFxEPD3wLOAPSJiF+Bs4LjMPAw4MCIObds+CQjgcOBY4IyI2Kvk60qSJJXakSB1cVVV/xdAVVUHAb8P/NVgg6qqKprZox0SEY8APgr8Fs3HzQAcBlyamXe2988CTmq3Xw6cm5lbMvMeYC3w/B39upIkSTtjR4LUu4EnVVX1HZoAdWJd13fNa/Ni4OqCcbwReH9mDn68zJHA5XN3MvN6YP/27iHA+oG262hmpx4gIlZFxOsKxiNJkvSgHvIaqbquf04zC7U9lwKXFYzjeTQfLzNoH+DWefu2tLfLMnPzwP5bgL0HG0bEUcDJ+JE1kiRpSIquI7UtdV3/cEcfExFPBjbMC0YAE8D8fVV7O38mbVPbfq7PY2gC1JrMnKVj09PTy7vuU+PLeveTde0n68rk3O309PRIBzKOpqamNnbdZ6dBqtCvADdsZf8twBTw7YF9cwFqS0TsOhC+9m3bQxOo3gJcOYwQ1Zp/SlP9Zr37ybr2k3Vt3DzqAYyp6sGb7JhxCFLLgBMiItr7BwDPAP4RWEVzwU8i4gDuD1zrad7dd1V7/2juP6W4CVgNvD8ijs/MC4Yw5hUd9eMLfnHY0Xpb18XBuvZTVz+fF6tJmhD1eGBmxGNZEkYepDLzC8AX5u5HxIeB9wHfAy6OiPMy84fAW4GPtM3OpwlKL6K53MIrgBe2x+rMrCPiNODCiLghMzd0OeZhTA1qfFnvfrKu/bTU6zpwOm9mqX8vFsrIg9S2ZObmiDgV+FxETAD/IzOvaY/dGBEXAle0zf8kM+/eyuPX0ISpl2Xm/IXrkqQl7oQTTqhHPYYh6dUM6tq1azs/JdeVsQtSmfnage0NwBHbaHc+zczU/P2rB7Z/FBHHAaZySZLUubELUl0buKCnJElSp3bkgpySJEkaYJCSJEkqZJCSJEkqZJCSJEkqZJCSJEkqZJCSJEkqZJCSJEkqZJCSJEkqZJCSJEkqZJCSJEkqZJCSJEkqZJCSJEkq1PsPLR6G2dnZg0Y9Bi0c691P1rWfrGs/dVXXiYmJDV30M8ggVebaUQ9AC8p695N17Sfr2k9d1bXqqJ/7GKTKHNxRP77gF4cdrbd1XRysaz9Z137q6vdu5wxSBYYxNajxZb37ybr2k3Xtp3Guq4vNJUmSChmkJEmSChmkJEmSChmkJEmSChmkJEmSChmkJEmSChmkJEmSChmkJEmSChmkJEmSChmkJEmSCo3FR8RExDOBdwITwPeBNZm5KSKeDpwL7A5ckJnnDDzmROAUmg8gfFtmXtLuvygzVy/0c5AkSUvPyGekImIF8A7gxZl5NPBvwDERsQtwNnBcZh4GHBgRh7aPeRIQwOHAscAZEbHXSJ6AJElaskYepIB7gVdn5kx7/yDgRuAw4NLMvLPdfxZwUrv9cuDczNySmfcAa4HnL+CYJUmSRh+kMvNnmXkzQES8F7giM68HjgQuH2h3PbB/e/cQYP1AN+toZqceICJWRcTrhjR0SZK0xI3FGimAiDiXZqbp6xFxKbAPcOu8Zlva22WZuXlg/y3A3vP6Owo4GVjT9Vinp6eXd92nxpf17ifr2k/WtZ+6quvU1NTGLvoZNDZBCjgnM9/Yrn/6NPANYPO8NlV7O38mbRPNQnUAIuIYmgC1JjNnhzDWu4bQp8aX9e4n69pP1rWfuqpr9eBNdszYBKnM/F57e2NE3EozGzUFfHug2VyA2hIRuw7MSu1LMysFTaB6C3DlkEIUwIqO+vEFvzjsaL2t6+JgXfvJuvZTV793Ozc2QWqeR9Ose1oFXAUQEQcAN7TH1wPPmjsGHA1c1m5vAlYD74+I4zPzgq4HN4ypQY0v691P1rWfrGs/jXNdR77YPCImI2Jlu71LRLwDuAS4Ajg2Ih7VNn0r8Il2+3zgtLb9nsArgH9oj9WZWQOnASdGxEEL9VwkSdLSMvIgBTwG+NuIWAdcSjPN+u72tN2pwOci4mrgq5l5DTSn/4ALacLWxcCZmXn3YKft49cA50TEPgv1ZCRJ0tIx8lN7bSh6wTaObQCO2Max82lmpubvXz2w/aOIOA4Y2ylBSZK0eI08SA3bwAU9JUmSOjUOp/YkSZIWJYOUJElSIYOUJElSIYOUJElSIYOUJElSIYOUJElSIYOUJElSIYOUJElSIYOUJElSIYOUJElSIYOUJElSod5/1t4wzM7OHjTqMWjhWO9+sq79ZF37qau6TkxMbOiin0EGqTLXjnoAWlDWu5+saz9Z137qqq5VR/3cxyBV5uCO+vEFvzjsaL2t6+JgXfvJuvZTV793O2eQKjCMqUGNL+vdT9a1n6xrP41zXV1sLkmSVMggJUmSVMggJUmSVMggJUmSVMggJUmSVMggJUmSVMggJUmSVMggJUmSVMggJUmSVMggJUmSVGgsPiImIvYHPgLsDtwNvDYzvx0RzwXeDuwKfCgz1w485jTgt4DNwB9l5nXt/osyc/VCPwdJkrT0jMuM1AdpwtBRwCnA2RGxHPhj4BjgOcAJEbEfQEQ8B3hCZj4beDHwgYjo/BOdJUmStmdcgtQXM/N6gMz8HrAc+A3gU5l5b2ZupglbL2nbvxI4q23/A+Aq4BkLPmpJkrSkjUWQysyPzW1HxCOAGjgSuHyg2ZeBZ7fb+2bm9MCxdcDh8/uNiJdFxPGdD1iSJIkxCVLznA18DNgbuG1uZ2b+DNhtG4+5pW1/n4g4AXhWZl4wpHFKkqQlbiwWm8+JiN8BHp6ZX4iIVwNb5jWZWwc1PwBuAiYG+jkJODgz3zCMcU5PTy8fRr8aT9a7n6xrP1nXfuqqrlNTUxu76GfQ2ASpiDgKOBl4XrvrB8A+wHR7fHfg5+2x+QvL96WZlQLYD/g94ONDHO5dQ+xb48d695N17Sfr2k9d1bXzN6aNRZCKiKcC7wOen5k/bXdfBqwC5i55cARwZbs9HRH7Zub32/tHA19ot2+mCWNrI+KbmXnVEIa8oqN+fMEvDjtab+u6OFjXfrKu/dTV793OjTxIRcTjaMLSi9t34M35PHBhRFxIc+rujTQzTQCfAM4ATomIfYBD2/sAmzOzbk8Nfj4iXpWZ3+1yzMOYGtT4st79ZF37ybr20zjXdRwWm78EWAn8ZUSsm/tHs7D8PcAlwBU0l0K4GSAzvwzcFBFXAp8FXp+Z9WCnmfkT4NXAJyJizwV7NpIkackY+YxUZn6Q5hpRW/Ol9t/WHnc2zTv85u9fPbB9U0S8NDPv7mKskiRJg8ZhRmqoMvOOUY9BkiT1U++DlCRJ0rAYpCRJkgoZpCRJkgoZpCRJkgoZpCRJkgoZpCRJkgoZpCRJkgoZpCRJkgoZpCRJkgoZpCRJkgoZpCRJkgqN/EOLF6PZ2dmDRj0GLRzr3U/WtZ+saz91VdeJiYkNXfQzyCBV5tpRD0ALynr3k3XtJ+vaT13Vteqon/sYpMoc3FE/vuAXhx2tt3VdHKxrP1nXfurq927nDFIFhjE1qPFlvfvJuvaTde2nca6ri80lSZIKGaQkSZIKGaQkSZIKGaQkSZIKGaQkSZIKGaQkSZIKGaQkSZIKGaQkSZIKGaQkSZIKGaQkSZIKjc1HxETEPsCnM/N5A/ueDpwL7A5ckJnnDBw7ETiF5gMI35aZl7T7L8rM1Qs6eEmStCSNxYxURDwO+ATw2IF9uwBnA8dl5mHAgRFxaHvsSUAAhwPHAmdExF4LPnBJkrSkjUWQAn4J+D3g1oF9hwGXZuad7f2zgJPa7ZcD52bmlsy8B1gLPH+hBitJkgRjEqQy86rM/N683UcClw+0uR7Yv717CLB+oO06mtmpB4iIVRHxum5HK0mS1BibNVJbsQ8PnKEC2NLeLsvMzQP7bwH2HmwYEUcBJwNrhjZCSZK0pI1zkJoANs/bV7W382fSNrXtAYiIY2gC1JrMnO16YNPT08u77lPjy3r3k3XtJ+vaT13VdWpqamMX/Qwa5yB1CzAFfHtg31yA2hIz8amZAAAOSklEQVQRuw7MSu3btocmUL0FuHIYIap115D61Xiy3v1kXfvJuvZTV3WtHrzJjhnnIHUZsAq4CiAiDgBuaI+tB541dww4um0PzezUauD9EXF8Zl4whLGt6KgfX/CLw47W27ouDta1n6xrP3X1e7dz4xykrgDeHhHnZeYPgbcCH2mPnU8TlF4E7AG8Anhhe6zOzDoiTgMujIgbMnNDlwMbxtSgxpf17ifr2k/WtZ/Gua5j8a69iHhiRKwDDomIdRHx3Pa03anA5yLiauCrmXkNQGbeCFxIE7YuBs7MzLsH+2wfvwY4p73YpyRJUqfGYkYqM79Lcxpv/v4NwBHbeMz5NDNT8/evHtj+UUQcB4xtkpUkSYvXWASpYRq4oKckSVKnxuLUniRJ0mJkkJIkSSpkkJIkSSpkkJIkSSpkkJIkSSpkkJIkSSpkkJIkSSpkkJIkSSpkkJIkSSpkkJIkSSpkkJIkSSpkkJIkSSrU+w8tHobZ2dmDRj0GLRzr3U/WtZ+saz91VdeJiYkNXfQzyCBV5tpRD0ALynr3k3XtJ+vaT13Vteqon/sYpMoc3FE/vuAXhx2tt3VdHKxrP1nXfurq927nDFIFhjE1qPFlvfvJuvaTde2nca6ri80lSZIKGaQkSZIKGaQkSZIKGaQkSZIKGaQkSZIKGaQkSZIKGaQkSZIKGaQkSZIKGaQkSZIKGaQkSZIKLdqPiImIRwCfBFYC3wZeDfwacGhmnjW6kUmSpKViMc9IvQd4V2YeCVwCvHHE45EkSUvMogxSEbE78KjMvKbddT5w9AiHJEmSlqBFGaSAg4Gvzt3JzBq4A3jk3L6ImIiID0XEY0YwPkmStAQs1jVS+wC3ztt3C7A3QETsRrN+6rzMvL3rLz49Pb286z41vqx3P1nXfrKu/dRVXaempjZ20c+gqq7rrvscuoh4KbBHZn5yYN9ZwDTwCOApwMcy87JhfP3p6enF902TJGmJm5qaqrruc7HOSN0CPGfevn2Ba4FTgW8B1w/x668YYt+L2SRwM/B4YGbEY1F3rGs/Wdd+sq4LbLEGqWuAN83diYgKeCxwO3Ae8HfAxyPiuMz8addffBhTg30wPT09tznj96g/rGs/Wdd+sq4Lb1EuNm/D0e0RcVi7aw1wcbu9OTNvBN4L/OUoxidJkpaGRRmkWqcDb4mIy4EjgA8OHszMS4B/jYi3jmJwkiSp/xbrqT0y804g5u1e1/6ba/PBiHj0Ag5LkiQtIYt5Ruohycw7Rj0GSZLUT70PUpIkScNikJIkSSpkkJIkSSpkkJIkSSpkkJIkSSpkkJIkSSpkkJIkSSpkkJIkSSpkkJIkSSpkkJIkSSpU1XU96jFIkiQtSs5ISZIkFTJISZIkFTJISZIkFTJISZIkFTJISZIkFTJISZIkFTJISZIkFTJISZIkFTJISZIkFTJISZIkFTJISZIkFTJISZIkFTJISZIkFTJISZIkFTJISZIkFTJISZIkFTJISZIkFTJISZIkFTJISZIkFVo26gFoPEXENcCzMnNLe39P4HbgUZn503bfrsD6zDy4oP9JYEVm3tzhsLWDIuJHwNcHdt2UmWsK+nkMsCUzf9jZ4LRNEfHbwO8Cm4EK+I/M/P2d6O8pmfnvBY87E7goM/+l9Gtr6yLiCODtwK7ABPDOzPzHnejvAa9Ra9cdg5S2ZQPwq8DX2vuHAP8CHAxc0e47CFhf2P+LgJ8B/2Mnxqidtz4zV3fQzx8CFwEGqSGLiNOB/YDnZubP2n2P3sluzwW6+H+gDkTEcuDPgOMy88ftH6177mS3vkaHxCClbbkYWMX9Qeow4Jz2di5IrWrbSVoAEfFE4Fjg1zOzntufmXeMblQagl8GrszMHwNk5mZg42iHpG0xSGlbLgX+CvhAe/8A4P8GYqDNc9o2RMSTgPcDK4HdgNMz84r22HtoZrQeTvNX0a8DJwFbIuI1wFmZedGwn5Aeuoj4XeDlNOsoNwFvysxvtH8Z/zXNjMjDgJcBpwG/0TwsNgJvyMyvbb1n7aQXAx8dDFFzIqIC3gD8N2AP4Drg9Zn584j4C+BC4FSamY0fAq+iqeHfAr8aEeuAW2lem38NfBt4Hs3rfC3wGJrTiDcAr8nMTUN7lvoP4DkR8ajB0+Vtjd9G83N4E029/jAzvx8R/wV4c2a+ZqD9mTSzUK9g3mu0bfKkiPhTYDnt/wlPz+84F5trqzLzR8BeETH3f6Ruf3hXcN/6qIe10867Ax+n+WW7CvhN4F0RMRER/xVYnplHAc8GvpGZ7wLOAt6RmasMUSN1SESsG/g3d3rn/8nMY9q6vQQ4vd3/Apr1OEfTzIzcnJl/BHwS+IO2noao4TmAJiBtzauBR7Z1+zWaX8a/1x67A3gjcHxmzgWjt2bm99vX7Pq2di/LzFngacCdmXlYOxvyssw8uv3/8CXghKE9Q5GZP6EJO2sj4k8iYmV76PdpQvIzM/NQ4F3AJ9qAtb3+tvUaPYmmtvf9n+j+2fSfM1Lanmtp/lKdofkrFOA77emFvYGvtPteCHwmM28CyMzbI+J/0cxCfYvmr55HtuHMv2LHy7bWSO3Szkr9JvAIYJ92/3eAEyPi4Zl5z0INUg/Jf6d5Lc75EM1s04dpFqV/LDM3AmTmZyLiVdvpqwI+MnB/34h4I/AMmpnly7scuH5RG3Z+PSKOBf42It5FMyN532ndzLwmIq6lqcvtBV/mL3bg/4S2wSCl7ZlbJ3UHcHW772qadVJP5P71UfsDJ0TESwce+3Dg+sy8LSLeRDNDdSfwZ5l570IMXjvlg8A0cGJm/igiLgLIzK9HxAeAD0XEfwJnb+00k4bmP2jeBHLTVo49FbgkYvDsOz8Z2P7BvPbbq9ut7cwUEfEI4H/SnFI6HXgC8Oa23Wb8PTJUmfm/I+IqmlOzm9oZwkH/DvwXmvpud2ZqK3bk/4S2wReAtudKmrdY38H9U77rgTOBfbl//dQ08O7MvGBrnWTmvwGnRMQLgDfRrLXyBTveDszM1w7c32tuIzOvBq6OiD+gWSP1d1jPhfK/gL+OiNxKgL02M3+zo68z2PcxwN9k5sUAEbHXwLEfAo/q6GtqGzLznjYgL4uIXeeFqafQhKwfA/PfvfnYgW1fo0PiGiltU2b+vN1c0Z6zJzNnaE71bJr7ixX4e2BNRDxu7rERsVtEVBExGRET7e4fASva7dtoFixrPO3Wrn0jIl4E/J/tmrdHDKybs54LrL3u2peAj0bEw+b2t5c/uLwNtwzsfxgPUUTsto1DP6aZgaZ9Lb+Z+9+KfyXw0m08ToUi4lci4vED948GbqaZGXzn3JqoiHgmzWVo/jUz7wKeGBH7tMeeSrOOcY+2G1+jQ+KMlB7MtTQLXAfNMrDgNTM3tqfvPtZeaHMTzfn6k2lOQ5wdEfcCd3H/4tdLaGapLqF5p8h3hvs0tA2HtO/WmjN3Qc73AOvaun2Z5h2ZewPPBE6PiHuAW2hmLAE+C1wQEScDvzl30VZ1LzPPiYhXAv87IubWHP4H8AfAaRHxzzSzDz8FPkHzy/fB/AVNEPtiZr5z3rFLgZdExGU0p/L+DDixHct1EfGfEfGFDmfD1ISfc9ufpz+lWWv6BuBumlOs17S1v43m5+fcbNPpwBcj4m7gmzTvkp4LZA94jS7YM1kCqrp2tk+SJKmEp/YkSZIKGaQkSZIKGaQkSZIKGaQkSZIKGaQkSZIKGaQkSZIKGaQkSZIKGaQkSZIKeWVzSWOpqqrzaK6qXwO7t7v/Hji3ruufb/OBD63v/YB/BQ6q6/p7OzVQSUuaVzaXNJaqqloH/G5d199q7+8BvAN4TF3Xv9NB/4+p6/r2ne1H0tLmjJSkRaGu659WVfVm4Acd9WeIkrTTXCMlaTGZoPnwa6qq2rOqqnOqqvqXgX8P+DDWqqpeXVXVtVVV/X9VVW1p2/xye+zmeW2PqarqsqqqNlRV9fWqqi6squqAgeOvrKrqz6uqOrmqqquqqvpK2/4ZC/C8JY0pZ6QkLQpVVe0NfAA4q6qqXYELgY/Wdf2m9vgUkFVVfaeu669VVXU4cBLwnHY266XAoXVd/+dW+n4BzWnDl9Z1fUO777nAF6uqOrZdR3Ur8KfABW2fW6qqeibw2aqqDqzr+qfD/h5IGj/OSEkaZ39bVdW6qqq+AdwMXFDX9V8CvwWsr+v6C3MN67qeBt4MvKrdFcBH5gJOXdefAZ6+ja9zNvCKuRDVtr8YeC/w1nbXz4F7gT+p63pL2+Ya4CvAYV08WUmLjzNSksbZKwYWmwfwjqqqLgIOB45uZ50GLQP+vd3+Ob/4M+4X3u1XVdWjgYm6rr+5la//D8AbBu5/rf7Fd+jcCDzhoTwZSf1jkJK0KNR1nVVVHQK8FngY8N66rs/fzkM+DZxfVdUldV3fWlXVycD6bbSttrF/F5rLL9w3jK20maVZuyVpCfLUnqTF5Dzg5cA1wPO217CdYdoEXFBV1SXA44Azt9LuDuDeqqqespVufgO4bCfHLKnHDFKSFo120ffuwP8EDqyq6k1VVd33c6yqqke3i9Ln7ApEXdfH1HX9zrquN22j69Np1mM9eaCv59Gc1nt3509EUm94ak/SYvN14EDgaOCdwDeqqtoIbAZ+DJwB3Na2fR3wd1VV3QacV9f1VVvrsK7rf6yqahb4eFVVe9Gcqvsm8IJ2EbskbZVXNpfUe1VV/R/Ae4CL6rr+i1GPR1J/GKQkLQlVVe0GXFLX9fx3+klSMddISeqteQvI/ytwy6jGIqmfXCMlqZeqqpoE3lNV1eOAe4A7gT8c7agk9Y2n9iRJkgp5ak+SJKmQQUqSJKmQQUqSJKmQQUqSJKmQQUqSJKmQQUqSJKmQQUqSJKmQQUqSJKmQQUqSJKnQ/w/lYgF/tjB1yAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (8750236973432)>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g = (ggplot(df,aes(x='Region',y='Sales')) +\n",
    "     geom_col() + \n",
    "     scale_y_continuous(limits=(0,900000),breaks=range(0,900000,100000),labels=utils.k_format())\n",
    "    )\n",
    "g"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Ordered proportional symbol\n",
    "\n",
    "Use when there are big variations between values and/or seeing fine differences between data is not so important."
   ]
  },
  {
   "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>State</th>\n",
       "      <th>Burglary Rate</th>\n",
       "      <th>Murder Rate</th>\n",
       "      <th>Population Size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>California</td>\n",
       "      <td>693.3</td>\n",
       "      <td>6.9</td>\n",
       "      <td>3420.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Texas</td>\n",
       "      <td>961.6</td>\n",
       "      <td>6.2</td>\n",
       "      <td>2782.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>New York</td>\n",
       "      <td>353.3</td>\n",
       "      <td>4.5</td>\n",
       "      <td>2490.77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Florida</td>\n",
       "      <td>926.3</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2415.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Illinois</td>\n",
       "      <td>606.9</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2026.50</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        State  Burglary Rate  Murder Rate  Population Size\n",
       "0  California          693.3          6.9          3420.53\n",
       "1       Texas          961.6          6.2          2782.72\n",
       "2    New York          353.3          4.5          2490.77\n",
       "3     Florida          926.3          5.0          2415.39\n",
       "4    Illinois          606.9          6.0          2026.50"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('data/ordered-proportional-symbol.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "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: (8750229750469)>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g = (ggplot(df,aes(x='Murder Rate',y='Burglary Rate',size='Population Size')) +\n",
    "     scale_size(range=(1,10)) + #scaling size\n",
    "     geom_point(alpha=0.5,color='blue') + theme_minimal() +\n",
    "     #x and y axis scales\n",
    "     scale_y_continuous(limits=(300,1400), breaks=range(300,1400,100), \n",
    "                        labels=utils.prettynum_format()) +\n",
    "     scale_x_continuous(limits=(0,12), breaks=range(0,12,2), \n",
    "                        labels=lambda x: [i if i%2==0 else '' for i in x]) \n",
    "    )\n",
    "g"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Dot strip plot\n",
    "Good for showing individual values in a distribution, can be a problem when too many dots have the same value."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "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 of Order Date</th>\n",
       "      <th>Sub-Category</th>\n",
       "      <th>Sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>January</td>\n",
       "      <td>Accessories</td>\n",
       "      <td>5477.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>February</td>\n",
       "      <td>Accessories</td>\n",
       "      <td>5369.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>March</td>\n",
       "      <td>Accessories</td>\n",
       "      <td>8766.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>April</td>\n",
       "      <td>Accessories</td>\n",
       "      <td>7951.71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>May</td>\n",
       "      <td>Accessories</td>\n",
       "      <td>9613.10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Month of Order Date Sub-Category    Sales\n",
       "0             January  Accessories  5477.91\n",
       "1            February  Accessories  5369.28\n",
       "2               March  Accessories  8766.64\n",
       "3               April  Accessories  7951.71\n",
       "4                 May  Accessories  9613.10"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('data/dot-strip-plot.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "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: (-9223363286625224034)>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g = (ggplot(df, aes(x='Month of Order Date',y='Sales')) + \n",
    "     geom_point(alpha=0.5,color='red',size=3) + #points with decorations\n",
    "     theme_minimal() + coord_flip() +\n",
    "     scale_y_continuous(limits=(0,45000),breaks=range(0,45000,5000),\n",
    "                       labels=utils.k_format()) \n",
    "    )\n",
    "g"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Slope\n",
    "Perfect for showing how ranks have changed over time or vary between categories."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "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>Color</th>\n",
       "      <th>Names</th>\n",
       "      <th>State</th>\n",
       "      <th>Value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>False</td>\n",
       "      <td>% w/ BA or Higher</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>22.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>False</td>\n",
       "      <td>% Obese</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>25.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>False</td>\n",
       "      <td>% w/ BA or Higher</td>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>25.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>False</td>\n",
       "      <td>% Obese</td>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>26.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>False</td>\n",
       "      <td>% w/ BA or Higher</td>\n",
       "      <td>West Virginia</td>\n",
       "      <td>15.3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Color              Names          State  Value\n",
       "0  False  % w/ BA or Higher        Wyoming   22.5\n",
       "1  False            % Obese        Wyoming   25.1\n",
       "2  False  % w/ BA or Higher      Wisconsin   25.6\n",
       "3  False            % Obese      Wisconsin   26.3\n",
       "4  False  % w/ BA or Higher  West Virginia   15.3"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('data/slope.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjMAAAGyCAYAAAARVkUiAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD+naQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvOIA7rQAAIABJREFUeJzs3XmcW3W9//HXyTL73n26QZuWLVAoO8gmCoIYFESDiI7rdb/+7qZeN/Re13tFRVwA0V7laq6I4hEXBATZKVC2QBFC96Z7O519Jsv5/fE5YdJhWmamM03Tvp+PRx4zk5OcfJNJcj7n+/18vl/H8zxEREREylWg1A0QERER2RsKZkRERKSsKZgRERGRsqZgRkRERMqaghkREREpawpmREREpKwpmBEREZGypmBGREREypqCGRERESlrCmZERESkrCmYERERkbKmYEZERETKmoIZERERKWsKZkRERKSsKZgRERGRsqZgRkRERMqaghkREREpawpmREREpKwpmBEREZGypmBGREREypqCGRERESlrCmbkgJJOpyvT6fRV6XS6stRtETkY6TMopaBgRg40lcAX/Z8isu/pMyj7nIIZERERKWsKZkRERKSsKZgRERGRsqZgRkRERMqaghkREREpawpmREREpKwpmBEREZGypmBGREREypqCGRERESlrCmZERESkrCmYERERkbKmYEZERETKmoIZERERKWsKZkRERKSsKZgRERGRsqZgRkRERMqaghkREREpawpmREREpKwpmBEREZGypmBGREREypqCGRERESlrCmZERESkrCmYERERkbKmYEZERETKmoIZERERKWsKZkRERKSsKZgRERGRsqZgRkRERMqaghkREREpawpmREREpKyFSt2AschkMjOAGaVuh+x/mpubazs7O6mvr1+UyWS6S90ekYONPoOyJ+FweNlE7NfxPG8i9juhMpnMVcAXS90OERERGblwOOxMxH7LNZhRz4wMK5vN1nZ2dt5bX19/ZigU0lmhyD6mz6DsiXpmREYgnU43ADuBxtbW1o5St0fkYKPPoJSCEoBFRESkrCmYERERkbKmYEZERETKmoIZERERKWsKZkRERKSsKZgRERGRsqZgRkRERMqaghkREREpawpmREREpKyNaqHJWCy2BHgHMFB09ZGu667xt98DnAJkCxtd163b61aKiIiI7MZYVs2+2nXdT+9h+ydd1/3RWBskIiIiMhoaZhIREZGyNpaemQ/GYrEPAmuB77qu+5Mh2/8jFot9BXgJ+A/XdX+/t40UERER2Z1RrZodi8UWA2uAHcAZwK+Bf3Bd9xZ/+8nAcqAPuAj4OXCO67pLx7PR6XS6Eqgcz33KAaMeWAfMAjpL3BaRg5E+g7JbE7WS+qiCmaFisdiXgMNc143vZvv/ABteJcdm1NLp9FXAF8dznyIiIjKxWltbnYnY71iGmYrlgT017NW2j9XXgKsnYL9S/nRWKFJa+gzKPjfa0uy3AX8CuoHTgI8BH/e3NQGnAvdgpdtvBN4GnDd+zTWtra39QP9471fKXzqdLvzaOVHdmSKye/oMSimMtmfmY8D1QBDLnfm867oJf1sY+BJwBNYjkwLe5bruA+PUVhEREZFX2KucGZH9TTqdbgB2Ao06KxTZ9/QZlFLQPDMiIiJS1hTMiIiISFlTMCMiIiJlTcGMiIiIlDUFMyIiIlLWFMyIiIhIWVMwIyIiImVNwYyIiIiUNQUzIiIiUtYUzIiIiEhZUzAjIiIiZW20C03uFzKZzAxgRqnbIfuf5ubm2s7OTurr6xdlMpnuUrdH5GCjz6DsSTgcXjYR+y3LhSYzmcxVwBdL3Q4REREZuXA47EzEfss1mFHPjAwrm83WdnZ23ltfX39mKBTSWaHIPqbPoOyJemZERiCdTjcAO4HG1tbWjlK3R+Rgo8+glIISgEVERKSsKZgRERGRsqZgRkRERMqaghkREREpawpmREREpKwpmBEREZGypmBGREREypqCGRERESlrCmZERESkrI1qoclYLLYEeAcwUHT1ka7rrvG3zwZuBE4HNgL/6rrub8anqSIiIiKvNJZVs692XffTu9n2S+AJ4GLgNcBvYrFY0nXdF8baQBEREZE9GbdhplgstgA4Cfi867q9ruveAfwFuHK8HkNERERkqLH0zHwwFot9EFgLfNd13Z/410eB1a7rthfd9klg8V62UURERGS3RhvMXAP8C7ADOAP4dSwW2+m67i1AHbZSarF2oH6vWzlEOp2uBCrHe79yQCi83+rT6XRJGyJykNJnUHZrolZSH1Uw47rusqI/74nFYt8HLgNuAbqAhiF3aQQ696qFw/sM8MUJ2K8cONaVugEiBzl9BmU4zkTsdCzDTMXyDDYsCRwSi8UaXdct9NAc618/3r4GXD0B+5XyV499ic5iYgJpEdkzfQZln3M8zxvxjWOx2NuAPwHdwGnAb4GPu66b8Lc/ADwGfNrffitwvKqZZF9Jp9MN2HBn40R1Z4rI7ukzKKUw2p6ZjwHXA0FgDVa5lCjaHgd+AmzD5plpUyAjIiIiE2lUPTMi+zudFYqUlj6DUgpazkBERETKmoIZERERKWsKZkRERKSsKZgRERGRsqZgRkRERMqaghkREREpawpmREREpKwpmBEREZGypmBGREREypqCGRERESlre7tqdklkMpkZwIxSt0P2P83NzbWdnZ3U19cvymQy3aVuj8jBRp9B2ZNwOLxsIvZblmszZTKZq4AvlrodIiIiMnLhcNiZiP2WazCjnhkZVjabre3s7Ly3vr7+zFAopLNCkX1Mn0HZE/XMiIyAVuwVKS19BqUUlAAsIiIiZU3BjIiIiJQ1BTMiIiJS1hTMiIiISFlTMCMiIiJlTcGMiIiIlLWynAFYRET2P/FkakqNw5XnVIV5tD970jWt3FnqNsnBQT0zIiKy1+LJ1Dwg2ePxtdt7M2zOe3+JJ1MfL3W75OCgYEZERMbDtUAzUJG1vx3gO/FkamYJ2yQHiTEPM8VisUnA34GU67qn+NetAqYBOf9mq13XPWpvGykiIvu9KBAecl0AiADr931z5GCyNzkz3wKeAaqHXP8W13X/vBf7FRGR8rO7pQvW7dNWyEFpTMFMLBY7G5gP/AT4h/FskIiIlI94MlUL/DdwONYr7zkQ8uz3axPRyEslbaAcFEYdzMRisUpsbPRy4PhhbvI/sVgsADwLfNZ13Qf2rokiIrI/iidTJwI3YcNLZwLtYfjocRXBjzyXyX2ky+OG0rZQDhZj6Zn5DHC767rPxGKxocHMO4HH/d/bgD/FYrGjXdddvRdtfIV0Ol0JVI7nPuWAUV/4mU6nS9oQkQPVqkwueF1n/z8DnwrBL8+tDn/6/Opwl7/5q8BHgD+gz6EMMVErqY8qmInFYguAK4FFw213Xff+oj9/GIvF4sAFwI/G3MLhfQb44jjvUw4sGqcXmQBbc3nc3gwhBy6vreCYitCV2HFhKH0GZTjOROx0tD0zpwMzgVWxWAysd6QqFottBea5rjs04sozMQ3/GnD1BOxXyl899iU6C+gscVtEDhg9eY+v7ey9stvjG0F4MFoR/OgxFaFNw9xUn0HZ50YbzPwKdpnR8TIsIo8BzbFYbBHwiL/t3cCJwPv3tpFDtba29gP9471fKX9FXdqdE9WdKXKwiSdTU4DrgTcA/5yDH35m4aHecLfVZ1BKYVTBjOu6PUBP4e9YLLYDGHBdd10sFjsS+B42p8AA8Bxwkeu6ymQXESlT8WTqQqxydR1wXCIaeb7ETRJ5Bcfzhg2uRcpSOp1uAHYCjTorFBm7eDJVg5VcfxD4OvDlRDQy8Gr302dQSkELTYqIyC7iydQJwP9iJddnJaIRTbEh+zUFMyIiAkA8mQoBn8aqRX8OfDIRjah3RfZ7CmZERIR4MjUfC2AWAm9PRCO/KXGTREZMwYyIyEEsnkw5wHuA7wIPAEcnopENpW2VyOgomBEROUjFk6nJwA1YyfW/At9PRCOqCpGyo2BGROQgFE+mLsBKrtPA4kQ0srzETRIZMwUzIiIHEb/k+r+ADwHfAK4aScm1yP5MwYyIyEEinkwdj5VcV2Il1/e/yl1EyoKCGRGRA1w8mQpiJddXATcB/6iSazmQKJgRETmAxZOpeVjJ9eFAPBGN3FLiJomMOwUzIiIHIL/kug24hsGS6/Qe7yRSpsoymMlkMjOAGaVuh+x/mpubazs7O6mvr1+UyWS6S90ekVJY1tXTVB8MfK4rlz/t0KqK73x+zvRfhRxneiaTmT7Rj63PoOxJOBxeNhH7LcuFJjOZzFXYdNsiIlLk6e5ert+wjaZQkA/PmMTMyopSN0nkZeFw2JmI/ZZrMKOeGRlWNput7ezsvLe+vv7MUCiks0I5aKztH6i6et3mT2zN5i6bHg4t+czsade1hEPZfd0OfQZlT9QzIzIC6XS6AdgJNLa2tqpaQw4K8WRqMVZyXQ1cmYhG7itVW/QZlFIoy5wZERF5ueT634AvA78APpGIRnaWtlUi+56CGRGRMhRPpg4FfgYcBVyeiEZ+XeImiZSMghkRkTLil1y/C/ge8DBWcr2+tK0SKS0FMyIiZSKeTE0CrgMuwoaXrk1EI/nStkqk9BTMiIiUgXgydT7wU2ATcHwiGnm2xE0S2W8omBER2Y/Fk6lqbHXrj2KrXX9Bq1yL7ErBjIjIfsovub4JqAHOSUQj95a4SSL7JQUzIiL7maKS6y8BCeDjKrkW2T0FMyIi+5F4MnUItsr1UcAViWjk5tK2SGT/N+ZgJhaLTQL+DqRc1z3Fvy4K/Bg4BlgBfNh13ZLNRCkiUi6GlFw/gkquRUYssBf3/RbwTOGPWCwWBlzgt0Az8HXgd7FYrHmvWigicoDzS65/hZVdfx44X4GMyMiNKZiJxWJnA/Ox2ScLzsaS1P7Ldd1+13VvAlYCl+xlG0VEDljxZOo87MRwAVZy/V3NHSMyOqMeZorFYpXAtcDlwPFFm6LAM67rFn8In/SvFxGRIn7J9deBjwH/jZVc95e2VSLlaSw5M58Bbndd95lYLFYczNRhK6UWawcax9q43Umn05VA5XjvVw4I9YWf6XS6pA0R2Z3/3tl7jAM3ALWTAs5F/95U/QBQ6X+3lTt9BmW3Jmol9VEFM7FYbAFwJbBomM1dQMOQ6xqBzrE1bY8+A3xxAvYrB451pW6AyFB5z+Puviybch6LK4JcUlNBdcD5Y6nbNUH0GZThOBOx09H2zJwOzARWxWIxsN6RqlgsthV4H3B0LBYLFA01HQv8cLwaW+RrwNUTsF8pf/XYl+gsJiaQFhmT6zr65ryYzV+XhyPrHf7fFXWVvyl1myaIPoOyz402mPkVcGfR35dhPTUxbL2QPuCfY7HYNcClwDysumlctba29gMaW5ZXKOrW7pyo7kyR0fBLrt8JfB9YChx9w1GRA7bXQp9BKYVRBTOu6/YAPYW/Y7HYDmDAdd11/t8xbJ6ZL2PzzLzZdd3t49dcEZHyEU+mWoAfYSd8nwauUaWSyPhzPM8rdRtExk06nW7AEtEbdVYopRRPpl4PLAG2YjP5Jkvbon1Dn0EpBS1nICIyjvyS668BH8cmF/28Sq5FJpaCGRGRcRJPpo4F/hdLgj03EY3cU9oWiRwcFMyIiOwlf5Xrfwb+EyuU+FgiGmkvbatEDh4KZkRE9kI8mZqLLe1yDHBlIhr5vxI3SeSgo2BGRGQMikqurwUew1a5PmBLrkX2Z3uzaraIyEHJL7lOYEsSXAW8XoGMSOmoZ0ZEZBTiydTrsJLr7cCJiWjkmdK2SEQUzIiIjEA8marCSq4/gS2n8jmVXIvsHxTMiIi8ingytQgruW4AXpeIRu4ucZNEpIiCGRGR3fBLrv8J+ApwM/BRlVyL7H8UzIiIDMMvuf4f4Fjg3Ylo5JclbpKI7EZZBjOZTGYGMKPU7ZD9T3Nzc21nZyf19fWLMplMd6nbI+Un63n817rNFzjw6eqAszw+pfnyc5rqN2UymcWlbls50GdQ9iQcDi+biP2W5UKTmUzmKuCLpW6HiBxYunM5frppO4939XDZ5Gbe0FxPwHFK3SyRA0Y4HJ6QD1S5BjPqmZFhZbPZ2s7Oznvr6+vPDIVCOiuUEftBeuuJSzu7vxx0nJ3nNdd//u1Tml8sdZvKUX8mU9vV2XlvY0ODPoPyCuqZERmBdDrdAOwEGltbWztK3R7Z//kl118F/hH4DvDZRDTSV9pWlR9/RuTPAZ9yoNaBh/LwNk0mKPtCWebMiIiMB7/k+iagCZvF968lblI5+3/AF4CQB3hwAnBnPJk6JhGNDJS2aXKg03IGInLQiSdTgXgy9S/AUuAZ4BgFMnvtA+x6ghwGDgMWlaY5cjBRz4yIHFTiydQcrOT6OOA9iWjkFyVuUtnzX9Opu9ms44xMOL3JROSgEU+m3gH8AHgC641ZU+ImlS1/QsHzgA8DbwS2ATkg6N8kB2wCnipJA+WgomBGRA548WSqGQtiLgH+Hfh2IhrJl7ZV5SmeTE0F3gv8A9AK/Ao4Exuy+wHwfgAH1nlwYSIa6SlVW+XgoWBGRA5o8WTqtdiwUju2yvXTJW5S2fErlc4EPgRcCqzBApefJqKRrUU3/cDPXlr9hZMrQ+kgHBOZNVMVhbJPKJgRkQOSX3L9FeCTqOR6TOLJVBNwJRbEHAa4wEXAnbvr2XpddVhzy8g+p2BGRA448WTqaGyV6xbgvEQ0cleJm1RW4snUCVgAczmwA7gB+HEiGlm/h/s4wMeBL4SBHNyS3556RyIa2bIv2iwHt1EHM7FY7Hos2ase2A5c77ruV/1tq4BpWOIXwGrXdY8an6aKiOxZPJkKYPOdfBX4LfDhRDSyo7StKg/xZKoWiGNBzAnAX4ArgNsS0Uh2BLv4BNYDRsb+fh3wYDyZOmKE9xcZs7H0zHwH+EfXdXtjsdhs4PZYLPai67o3+9vf4rrun8eviSIiry6eTM3GcmMWYwmqv0hEI5ri/FXEk6kjsQDmXUAW+AkQT0QjL41yV1cNc10EeA1wz140UeRVjTqYcV33uSFX5YEF49McEZHRiydTl2MJqU+hkutXFU+mKoG3YGXVZwL3Ax8FbhlLXlE8maoGGnez+UgUzMgEG1POTCwW+xrWpVgDrMamAy/4n1gsFgCeBT7ruu4De91KEZFh+AmqPwDeCnwWuDoRjeT2fK+DVzyZOhT4IPA+oAr4GfCxRDTyzBj3txhLsj4X2N1qyEoIlgk35oUmY7GYg42rXgx8w3Xdzlgs9hrgcf8mbcA3gKNd1109Dm19WTqdrgQqx3OfcsCoB9YBs4DOErdFJtBX2nvP2J73fgR0tgad9/9zY3Wy1G3aH6Wz+cANnf3nd3ne+3LwOgeerna48eyq8K9HW3nUk/e4rrN/4cZc/kMZ69lpwXIkt2AzAL9iiZzJAef8f2+qfnhcnoyUvYlaAHivV82OxWKfB5pc1/3nYbb9Dfil67o/2qsHGSKdTl8FfHE89yki5SHrefyxN8Pf+rKcURnijTVhws7uOgUOXh15j0f6szzUn6Ur73FcRZDTqkLMCQZwRvF65T2P1dk8Tw9keWwgR7d/yHAADzt7mF8RpDOf56XsrseTKge+0FRNlf4/4mttbZ2QN8N4lGaHsCSv4eTZfdfj3vgacPUE7FfKn3pmDmBX7+w7cn0uf4MHLS0B58Nvrq24p9Rt2p/05D2u7ug7a2fee28OLnJgZZXDjSdXhhKX1laMuKrrob5s1e29mdd2e94VOXgtllJQ0BmEv1Y53D49GHjoPXWVK2oCDp/d3vNe4NvF++nzWLk95y1uDTmabVkm1Kh6ZmKxWCMQA34HdAGnYuWP/+FfNxd4xL/5u7E39iLXdUebFS8yJul0ugHYCTROVHem7Ht+yfUnsROZW7GS6+2lbdX+I55MtWBD+/8AzMO+l38I3DPSiq54MjUDSwJ+M3A4g2sseUAH8Bvg64lo5IXd3H8bNuw01JmJaOS+ET8ZkTEYbc+Mh31grvHvux74FnAtcATwPayXZgB4DrhIgYyI7A2/5HoJlqP3PuB/VXL98iR1J2MVSW/HFnW8HrgxEY1sHMH9a7G8lyuBk4Amf1MndkLQAtyBfcffsbsZf/3KqNcBzbt5qCigYEYm1KiCGdd1O7Cs9eE8Bxy71y0SGYNUW7wZC6bPcma0Qnf3G7nmul+Wul2yd+LJVBzrYXgaK7ke12KCchRPpuqBd2BBzDHAH7Fqrj/tqZLLX2zzdOAy7Ht8pr+pF6s+3YR9hzcCvwC+t4demDrgDdg6TRdhBRm7SylYMYqnJzIme50ALFJqqbZ4GBvePAqo8K/OAxdHliRuK1nDZMz8kuvvYwfezwHfOthLruPJ1DHY5HbvxAKQHwM3JKKRVbu5/XTgDOBsLPCYh/WuO1he2R+wnpcLsJl+09gJwU8T0cjOYfbXjAUul/j7Ayu7ngQ84++/dpimaJhJJpzWZpIDwanYGWXxmWEA+DdAwUyZiSdTZ2Pzn3QCJyWikSdL26LS8RfLvAwLYk7DJp/7APDbRDQyUHQ7B8tZPNO/nMXgkH8A+2w8iM0J9ntsyO4TWI7NXcDbgD8ODRjjydRULIfmEqw3pw9bq6kCSzP4BfB3f39H7OZpdI39FRAZGQUzciCox+a6GPp+np1qi4cjSxKZErRJRsnPvfhP4J+wHoLPJKKR3tK2qjTiyVQECzTeg72vlwDvT0Qjy/3tTjyZOgILXM7wf87GEnV7gCn+77/HijP+jCX0vg/LX5kG/Bz4RCIa2WV+Hj9H6RL/8hoseNmKLXWQBW4HlmOraL8Xy7W509/fuxhMHB7AZmR+erxeF5Hd0TCTlL1UW3wGNi5fVXR1HgtwtmJJkTdEliR2u+KvlFY8mYpiq1xPBtoS0cgdJW7SPhdPpkJYteiHgNcDj2L5Qv8H9GP5MYWelzOwgGUdNmFdM3AIsAYLXn4H3JuIRjLxZOpwbDXrd2OLA1+LJQlvK3rsBVjwcilwItbrshE4FKjDhqSexQKmN/nX3Q78Gvh9YTHPeDL1QQc+W+Mwp8/j1hy8Vwt9yr6gYEYOCKm2+BuBm4FqAALBO8jnrsC6zz+CnUXeik19f3dkSUJv/P2AX3L9j1jJtQt86GAruY4nU7OwoaP3Y70cv8DyYYIMBi+nAw1YocWLWG9NFBtaepLBAObJRDTi+a/r+dhrez7WG3MNcGsiGsn6w1JHM9gDczTwApY3c6i/33uxXpUpWI5MJfAnLIC5LRGNDDv1gaZHkFJQMCMHjFRbfJIzacoJlVe8+89OY1PjzPn2ZZtqizvYAeEj2Bd3CgtqfhZZknhFoqPsG/5BfAlWFvxR4KaDpeTaDzZej1UkvQnLO7kTGyI6GTgFy0t5Ast16cYCjPOwgOdeLDh3ixOA/Uqnd2M9MYcAvwSuSUQjy/wA5kSs9+USLKfmSaw3ZzZwHNb7sgwLnM7F8m1uwwKYPyWikT3mv8STqVgA/n1qwDl5W977fgb+9WAdKpR9S8GMHFBe7azQH5J6P5aP0IwlRP4wsiRx0CaZlkI8mXo78COsCuZdu6vIOdDEk6kpWB7Mh7FZql/EhkQP838uZbBHZBLWq3IeNmT6ZyyA+ePQ3qt4MjUf+BiWw9KDBevXAduwvJdLsTllZgIPYQH9TCxReDM2pFXt3zaH5dr8Grg9EY30jPC5vcW/T2F9pgEsYfkNB0uQKqWjYEYOKCPt4k61xQv5CR/BzkAfxA4Av44sSfTvi7YejOLJVCOWs/F24PPAfx/oJdd+j8ibgH/FKu9yQBgrr34QC17uxfK7LsAW7z0Ny4VxsQDmr4lopG+Y/b4WG0q6CAtIvosNN52B9b68GQva78aGqGYAF2KB0zJsuOoELCfnd1gwcsfQxxrh83yC4ecaO2asq3KLjJSCGTmgjGW8PtUWPxxLumwDMli+wnWRJYlVE9TMg1I8mToLK7nuBq5IRCNPlLhJEyaeTM3FelXejQULFdh763FsWYC/YUM8x2LBy5uBI4HnsaDiVmDpcLPuxpOpGmyumU9gPTo3Y71ck7AA5k1YMvzt/uNN9/c/GesJy2PJxF3+4/wauKu41HuEzzHkt/kk/9KGBWlDaZ4ZmXAKZuSAkGqL1wBfxnHODUQWHutt33bB/G9d++dR7qMWuBzL31iEVXD8ALg9siShhfLGyC+5/jLwL1ivzKcPpDwKv4fkMAaTdc/FAggP6/G4G1sY96/Ywf4cLIC52L/dQ/gJvIlo5O97eJw5WE/iB7CA5CdYvss5WI9OHnvP3gdMxZLfD8cSezN+G3dg6zb9Glu3aUTTFvjPcQ6DgcvJwPHYApQrseGx+VhwVjxFQi8wu7hySmQiKJiRspdqiwexib9OZdcZgM+NLEncM4b9Fda8+Qg2HLIOO/P9aWRJYut4tPlgEU+mjsJKrqdiJdd/KXGT9lo8mQoyfJn0FmxyusnAA1gA83tsVtwLseDlAuw9egcWwPw+EY1s2sNjOVgeyyewnJflWODQig0xdfv7uQPrmXk7Vvm0wd92qN+uW7AA5v5ENJIdwXNsxpKFT2YwgJmKlXYv9S+PAI8mopEt/n3ehpWRF1sKnKKcGZloZRnMZDKZGdjYrwjbfnbjoq777rmRXWcA9pzqmsfmXHPdh/Zm3z1PPNbU7v42ltmYvoxsbnKwqfEv1ccef3PL29+ZdEKac3J3+vN55z/XbLp8df/Ax+uDgXs/MH3SV4+tqynLyrHtmWzo1m07j0z19S/ekckd153PH+tBXYXjrKgKOC/mPOp78vljHMhNDofccxrrbqkNBgbu2dl11saB7Nk9+fzxAehuCAXvm1tZcc+lkxsfPrSqco89U1sy2fD1G7aev7Jv4PJ+z1tY6TgvAvl+z1sYhPamUPDuQ6sq7u3N5evWDGTO78zlT3egLwhdWZgWhC0t4dCdR9ZU3fWOKc1P1wQDu+1Z3DiQqfjzjo6FK/oGojsyuaO68/loxvPmODBQGXCerw8Gk1PDoeSi2upnX99cvy7kDL8E0/tfWPO//Z53+NDrL25pfNtbpzRpwWEBIBwOL5uI/ZZrMHMV8MVSt0P2D91PPMbWH3z3FdcHWiYx+xs/nLIiAAAgAElEQVTfGZfH8PJ5epNP03XPnfQmn6Zi9lzqzj6X2pNOJVBZOS6PcaDYnsly/cZtvNTXz7untnB6Qy3Obg6A+6O+fJ6Xevv5e28/z/f28VLvABnP45DKChbWVLKgqpKefJ6HOrpZ3tvPgqpKzmmspbWygqe7e1nW1cuq/gEmh4McX1fD8XU1LKyuJDiC16A9m+Wu9i7u3NFBvwe1gQDtuRyTQ0FOqK/h+LpqMnmPhzp7WNrZTQ6oCQToyOWZHApyYn0tJ9XXMK+qgsAwj5f3PDYMZFnR189Lff2s6BtgTd8AeaC1Isz8qgrmVVcyv6qCWZUV7C5wKejJ5Un19fNibz9/2L6TzDCHk8/OnsbhNVWv3CAHpXA4PCFfBuUazKhnRl626ZpvndP3zJP/PcwmLzxj5nUt73rvL6oiC7vH6/E67vjzzM577rw0u3XLxUAwNGmyW/eas3/deOGb1ozXY5Srb67d9Ppne/r+vTLgvHTZ5KbPv765YUOp2/Rqnuvpq7tjR8exa/szi3fmcov78t4RANUBJ9kYDC6bU1mx7PyW+qdX9w00/GVH5yVbMtmL81DdHAz8cVJF+Ln2bC6yI5s9O+vRWuk4yyeHQ/ccV1f9t0snN734asFAwZKN2456uLPnA935/OkOZD2oCDvOmkmh4J1H11b/NQS5x7t7L9yayV6Yh+YAdOehPuSwflIodMei2uo7L5/avHzo492/s2vyI5090Y0DmaM6cvlobz5/pAd1QdhUEww82xQKJudUVjz72qa65Qurq/b4Gcl6Hne1d7Yu6+o9dtNAZlFnLr9owPMiDgxUBZznsp7XmPGYQ1HOjAMDn5w55YLFdTXto/7HyAFJPTMiu5Fqi78JS2oMDtnUieUNVADfBK6NLEmMW1CTaosXFgH8CDbJ2R1YwvBtkSWJV81LOJAMKbn+AvBf+2vJdTyZmsbgekZnYvkvQ8uklyaikV4/P+YN2LwwFwJJ/3YNWLVSAzaXSmECu7WjaEcYK9f+CDbnC8BL2ESCv8Heu+/A5o6JYNVHddjcNL/CcmCeKuSjxJOpBiwptzhJdya2RtOjDOa6LE1EI+kRtu84LAfndKxcfAawCcsJesB/LZYlopGBeDI1CavSOtIBx7Ok48sS0cjvRvqaiIyVghkpe6m2+FzsIFAczOSwL91pWEWJg325fhO4OrIkMa7VNKm2+GLsgHcFNlHZdcCPI0sSG8fzcfZH8WTqTGyRwW7gnYloZELOvMbKL5MuTtY9DGjHqn7u9X8uK67siSdT07Eg4oNYxdEyLKn8BGwyuD9hAcyfEtHIiHsd/Jl/LwQ+jQXAQSxZ93+AG/x2XYZN7FiY/6USq0j6JVaG/RzW+3E0uwYuR2ALQT7Frkm6LwxX4j1M21qwJPpC8HIiVuL9LLsGLyuGS+iNJ1Mz/O2zgxDM2ev17kQ0ctNIXx+RsVIwIweEVFv8U8DXi67aiB20AtgMqjFsro1aBg9GXwaeGM91mlJt8SZsbpGPAPOwKpIfAPcdaOtBDSm5/j7wqVKXXA8pky70vszB3g+FwOVeIDn0AO/f92xszqFLsMCiC1tGYAM2gd3vgLsT0ciIJ1b0ezjOxkqqL8Jm2u3Fyqg/B6z2r/+wf7s8Fqz8HQsSb8EC8ULQchLWY1KF9dIUgpalWE/Nq0545z/XCIOBy+lYMNTj76sQvDw80mAtnkz9Fngju841k8FKs3dbsSUyHhTMSNlLtcUbsDPXKQxOpZ4F/imyJPG9otsFsQPc57CDRhArNb0ZK6H963j12Pjl3a/FgpqLscnQfgDcFFmSKPvF9/yS65uwnq/3JKKR20vUjkKZdPGw0RRgFYNDRvcCqd2VB/tlyG3YTLpzsACmHuuRKCzg+NhIejeK9lmFrb30ViwwqsV6B58FvoINE52JlVwXyrUd7H38KyzAmc1gz0sLtuxAceDy2EgX5fQDz+PZdchoCrY69gNFl6dHOvdM0b4drAR8KVYePtRZiWjk3tHsU2S0FMxI2Uu1xc/HelqGZlu+EFmSOGw396nHptP/qH9VCBuaugs7Y/5DZElixPkPr9K+wqrIH8RyHn4O/CCyJJEcj/3vS/4wyceBb2ALEP7DvpwQLZ5MVWAH5ULg8hosb2U5g4HLfa+Wu+IfgE/H8ntei713HOyAfDM2gV1qlG2rxwKTS7AeikqsZyKIzbXzLex99i9YL2G9f9e12FpMHnAUFhj0AI9RlOcCrBnpfC3+GlCnMRi8nOA/9tPsGrysHe0cMP7/4Lgh+5/uP9fhZgA+IhGNPD+axxAZLQUzUvZSbfGPA9fsZvN6LN9hGTa1+zIgXRjy8YeF/gn4JDassBybNXUO9sV/GxbcPBJZktirhNZUWzyMHcQ+ii3wdx/WW/ObyJLEqKaSL4V4MjUT+CmW6/Fx4GcTPRmaP3X/KQwGL6dgQcKTDAYv9xcmbhvB/mYBX8ICjiZsSOdRLF/FHel+ivbXjA1hXoIlBA9gQ1pzsJyt7wF/wRY2fRs2oR5YUm43NhGdgy0zUBy4PDeSye38NgSw92xxcLEAS4B/mMHA5ZFENNI5mufn77/F33dh/ydh/4NCMnRh/3Owlb8drIc0CySwhUR1oJEJpWBGyl6qLf527EtzqD7szLsVO5s/DusZ2cxgYFMIcrqwypKPY8nEP8aman8j9iW+A+v9uQ1b3mCvSk1TbfGjsByJd2Fn4TcA149Xb9B4iydTl2FJzc8BVyaikZUT9DhN2AGzkPNyItZjUVhN+j7gwUQ0MuIJ+OLJ1CFYMHElVt3jYQfia4GbRroqdNH+CmsdXYItJbADex9NARZjFT03+s/jMmyICP9xHawn5iEGA5dliWhkxFV2foB3IoPBxWnYYpKr2bXXJTnaijK/x2pB0X4LuTTd2PBWIXgZNpcmnkydFYD/nB50XrM15/3XAHxmf61qkwOLghkpe6m2+OeA/9jDTf6OJW+62MrEx2EHncKlCatAWobltszD8h2ewYKhR7Dy3Ddiwwj1wP1Yj81twPNjTe71h7uuwHJrjvLb+APgrv1hPSi/5PoarET4C8A3x/PgVFQmXch5WcRgmXQhWfeR0SQW+wfkY4FLsQUZ5/qb1mFBxjdGm6jsV0S9xd/n6ViP321YT8yFWH7L34BGrMqoxr9rHsvf+S1Wwr00EY1sHuVjz2DX4GKxv+kJBoOLBxPRyPrR7NffdxWDuTSF3pcp2GtVqF56AEss3mNPkT+09TdgYQCCeeuZiSeikVtG2y6R0VIwI2Uv1Ra/FUuyHc4d2JnzodiX9jbsIFRYz6bX37bY3174OQk7UIWxYYMl2IrPL2FDHRdhwc1R2EJ7t/mXv0WWJEZc6VL0HAo5HB/BkkZXAT8ElkSWJHaMdn/jIZ5MnYHl9/RiJdePj8M+57Jrsm6hTPp+BoeNlo0hCTXs7+9iLOBoxQ6mOWw+lq8lopFnR7nPw7Del0ux98RLWGXRMiywuRjrbcljCb4FXf7z+BK2dtGIv2T9hOaj2DV4ORR7jR5kMLh4dDS9OUX7n8quPTqFXJqnKApeEtHIqCeAjCdTCey9WzxFQj9WzTSq4TuR0VIwI2Uv1Rb/CfCeEdw0h/XMdDM4Sdkd2Hwht0WWJDb5+3OwM+3FWHLom/2/wQ7shSGqxxksAb8QG3LI+vv8A/DHyJLEq05ONszzmQa8DysRnozNL/KDyJLEXgcTI+EneH4J+Desl+hTox2K8ffjAAsZDFwKZdKb2LXS6BVl0iPcfz3WY3YxFljWYQf9yVi+0zVAYqQHfb+9x2DByyVYUPGM38Y0VhZ9JtaTB5bwGsKGjrZhQdN/jKaHJJ5M1fn7LQQXp2IJzSl27RlZPtrXqCiXpriCqZBL81DR/seUSzPksWqx8vX6YTa/LhGN3LU3+xd5NaMOZmKx2PXYF0c9VtZ6veu6X/W3RbFcg2OAFcCHXde9b1xbLDJEqi1+BVYmPFQhR8HDgozCgQfsbDrgb8v521ZieTE/Bp4sHjpKtcUjwNewg9xKbJhhHjALC3Cewg6g/VivwKn+z2UMJhE/Npqho1RbPIQFSR/BkkuXYsHFr8Z70r+CeDJ1JPZazsBKrv88ivsGsSGW4gnqprJrmfR9wItjTQj1h1xiWABzLvZ6r8KC02os8PthIhp5bIT7C2AJrYUAZh42d8s6LMn1KGzoKIv1OPRi87sEsO+/3wNfTkQjK0b4eLPZNbhYhL0XH2MwuHhwLPOyFOXSFPZ/KpZLs4pdA6NR59IM81h1/mOchU1zcCJFyxgMvXkiGhm6mrbIuBpLMHMksNJ13d5YLDYbuB1b9PFWLDfhOuA7WOLbNcB813VL0k0uB4dUW/yfsLLXoXJYmW0QO2ufjPUMFCpICgENWFDjFf2dwc6O78LyHZZFliTaU23xI4CrsPf3H4BvY3OEFA9THYINUb2IJfdO9q/bzGAS8R2jmW8m1RZfgCWxvtdv543AdZEliXFZjdg/qH8UmyH5j1jJ9dZXuc/QMunTsQN/oUz6PqxMesxrVvm9JUdgwcvFWC/GOixILMxY+wLwI6y66lUTs+PJVAgLtN6OBTGTsJ6VIHbw78R6ZMLYiVmAwUC4C3t9vpKIRp4eweMcw67By2z/sYqDi8dGMtHdMPsv5NIULsf5m55g1yGjUfcODvNYDVgZ/Fn+5QTs87MGC/AaGey9HOrURDTy8N62QWRP9mqYyQ9m/gT8Aitv/DnQ6rpu3t/+OPAD13VvHIe2igwr1Rb/N2zek6E87Eu9DzsYtWAHrhbsLH60OrADxaPYsMPrsWGO3wJfLMwbk2qLtzCYXFwIcCJYcNWJ5VcEsAPyzcCtkSWJF0fSgFRbvBo7CH/U3/efsd6aP421dDyeTLViJdenYZO4LdnNdPWFMulCzsupDJZJF5J17x9tguswjxP0910IYBZgwcXt2P/xIiyp9zdYXtG9r9bT4w+DvAeIY69bYRnnHIMlxkuxAOYD2MG60IvXj5Ucfx0LDnY3+V4j9voUgouTsf/18+wavLwwhrldinNpCpdDGMylKVQwPTqWIcFhHq8J+z+fhQ2fHou9Vtux/8EkrLcqiQ23Po71zrybwRMCsGHY+ePRJpE9GVMwE4vFvoZ96dVg5YBnYmc4F7qu+/qi290IdLiu+//Gp7kir5Rqi1+CJWYO1c/gcFAndrB6CPvyfxI7WBWCm6nYweIYbKikMGzxagoJoIXZhB/Feia2+X9v938fwIZu5vmP8xqsl6igAwtubgV+HlmSeNWZXVNt8ROxIag4lofyI+AnkSWJEQcT8WTqrVhv6nJsPpAVRdsaGSyTPhM7wOM/x8Kw0ajKpPfQjmrgdVh+0puw/8t92OuxDgtqLsMOjtcBP9ndUEzRjLRnYAmppzA4v0s3Nhz4O6zy5kksR+U/sYqtQiJvzn/8q7H1l3ap5PEf4xB2DS6i2HvuUXYdMhr1pIJ+PtBJRfs+hV1zaQr7H3UuzW4erwV7vc7DgvQI9r7ux77nC0HfYwwGL08X9yjFk6lPY0OxxTYAc0eb0C0yWmPumYnFYg725XYxdlb8SWCR67pvLbrNt4BG13XfPw5tfVk6na7EzghF6P36ly7wOnb+gl3PCAHSFW++7Ljcypfq8ytfOtHr6z2JbPZk8vnjgGoc5wWCwaVUVCwNtEx+pOLyd/090Nzy8gcivzEd6E/cdKy3Y9ulZLNn4HkLGCy5HSrHYBWHhw1H9PvX1bDr+zWHVVi14zj9QBWe14QdrAozqPbhOKsJBh+gqvr+wMzZD1e+7R3rnepXPvzArTc3Z59+4gr6+9+H580iGLrVaWm5oepDn1g63O0B/tQzUH93X/abWXhblcNXP1Zf9e17+jItL2Typ/V63ulZOM2zoK43AEvD8GB9wHngjKrQ42dUhcclX+f/uvtbnh3Ind/rcVHOEq0Jwl3VDrfNDAYeWJvLn9fr8T4PjgjC7fUB58b311Xe1RoK5Ifu54VM/vievHdCBk7OWw9Bnb8558DzYfjjvFBgyQcbqtYB/LZ7oOmxgezlvR4fpWh4xIFkDVx7VnXYfV11+OXE4eRANvzH3swxO/PeyQMep+Ss12U6sDkID1c4PNzgOI+8sSb8VLQiNOoD9w2dfbPWZfMn93mcnIVT/Nc+G4AnQ/BwteM8vCAceOQddZV7HPobKp3NBzbl8qFteS/cmffCfZ4X7PcIb8vnJ2/LeWcPwLl5C+AnM5hjlgc2OLA8BCuDsCYEGxwHPAh6EPYvISDk/wz3eXyKYb6XWwLOmz7XVK3lDASA1tbWCVnOZa+rmWKx2Oex7P51wAWu655XtO3HQOd498yk0+mrsDwdEfJbN9N39ddfuSEQgFCY4JFHETz6WIILDscJhfByOfIb0uTXrHr54rXvgKoqArPnEpg9l+DcQwnMnoNTtWvnTL6zg1zyaXLLk+TXrob+PVRhO45d8nkIhXCmTCMwZSpOUzPU1uFUhKGvD6+3B6+nB3p6yHd24O3YDj3ddr+hgiGoqsSpqYOmRgL1jTjVNTjVNVBdjdexk/yKlLVtylTCJ51G8PiTCFRVvbyLFZkcv+gewPE8TqwM0e55rMjk2Zz3qHJgXijAvFCQ+eEAs4IBgs7QVSLGblsuTzKT45mBHCuzeWodOKoiSDQcYkE4wJacx4P9WZb1Z6lw4JTKEKdUhmgOWpw64Hmsz+ZZk8uzJmuXbXmPIFDhQJ9n0eAR4QAnVIRYWBEk7Le/K++RHMjyQH+W9bnB77064PTKIMdVhqkJOOSBrpw9xtpcnrXZPBtzHllgUsBhetBhWjDA1ECAWgfyjkWnec//CeQ8r+h3/yeQ92w/HXmP9rzHzrxHR95jAIt6ax2HGgeqAw6VDGan77p/b9jHy7/idnb/sQj6l4BT+N15+fcAEHTA8Sz2KTzu1vzwj3ZpTZjTq4Zb5UAORq2treP3hVJkPIKZL2Hjqddi83DMLMqZeQz44XjnzKhnRor1fvebi3Z2d9/76wsuZd2M2VT29/PaB//Kic88ttypb/iK19P9FnK5C4AsodAfndq6W8KxS+4OHRF9+Qy6/xf/My2/euVJXl/fSeSyJ5PPHwtU4DjPEwwupbLykcCkKUsr3v7OVHHvTf/Pb2zNrVl9Br09byafP5PBHoFiOQaneB/AjjNVQAbH+TvB4GOEK55y6uufCp925rOhk07tA8jv2O70/fRHJ7Oj/c3ksm/Ahk76seTkGn9/3dgQWr//GJXYycXQz0dvNhjavrV5Um17Y1NTX2VVtru6NtRfUdkdgBcr8rlnm3u6ly7YtunJitra7YFZc3aEX3NW546KKiedy4e25Lxwt+eFuj0v1OcRznheKOMRzkIw5xHO4YXyEM55dqae98/cc54X6vdYmIGTctaTOxPYHIBnQvBcANIeVGbh2Jz1qMwE1gRtSGMd0OzBDA+mejaZWxODibhZLPm6xn9NdgA7gT7H7y3wbHu9/38ZryOq5z9e1v+ZAzLO4HXZom1ZBzzP/t91nrWlAYsLuhzY4sBmBzY6sN3x7+sM3jcD5ByHjP8Y2eLbFP52cOx3h0ze8yr7PI7KWi/V4dgQaqHSqMuBFUF4uM7hL7NCgWcmBQO9DY6TaQo42bmhQKYlGPAAevIef+jNNK/M5g7tznuHZGBu1uOQPMz14BDPerRCfrvWelbZVzH0xZoWcM75VFP1snF67aXM7Rc9M7FYrBEri/wd9mVyKpb8+B/YeP0LWDLiNVgOzbVAxHXdEa3sKjIWz/xD21d++M4P/3t7QxNH/T1J7E6XnupaKgb6vfre7p9jB7hurFT6SKxbfQCbkfV3WBLt1siSxMvj/6m2eCUWpJ/qX07Dvqx3YOvdPAQ82FtZtfQrH/9cPxCq6usNv/n2W+fP3rD2DTW9PW8J5bJHO1BZ9Al7eV4Sz5KSw/5MqTkcJxfwvAoPvL7Kqs3tDU0rt0yasm5N65wNy+cfsXlnY1O2rruzefqWjUc0dHYsrOnpnlfT2xOo6etpb+jqGGjZuaOiaWd7UyifC3ZX1fRua27p2NoyJbutsTlU391ZP3/NiuopO7Y52xpb2DJpSravsmqgpq/Hq+rrC1b39war+vqC1X29gVB+MIc4FwjQW1VNT1UNvdX+z6K/h91WXcNAuAIcp5BjEsSCjwxW2dWJVb9ksGCsmcEhjs1Y7lAFdsBv8l+vbmALluwa9m8/zf+/LscCn1X+/zSD5b0chSVeL2Qwp8nDyuoTWI7R4f7tjvbbsQnLW3oUy696Gvs/FQcu2T2VNRfl6xRPelfIpVnKYLLuQ+OxQKefqLsYS9I9138+Df7mHLZ0wlLsff7boTMf+zMAH4Llcs3z2178szBvzEbstVvhX1YW/VyfiEZyfv7VzUOa+ABwhtZmkok22mCmAQteFmNfMuuxKohvuq7rxWKxo3nlPDMaK5UJ9dPvX/vtv5xx3ie9QICZ6TVM2b6NyoE+gvk8uWAwNxCu6MsFg5lsMOR5jhMEKjycCi/gBPKBALlAEP+nlw2FcrlgMJcLBvPZYMjLBwJeLhAkFwxS19XpzNy4PjR747rArA1rgzM2b3QCXp5Nk6extnU2a1rnsLZ1NtuaJtnwkucxbetGTnjqMaIvPEtdT5efkODQUV/vddbUedX9/bTs3B4IeB6ZQNBzPM8JeXnyOOSCwXwolw04QGdNXf+mydM6Nk6d3r5+2sz2Na2zd+A4NY2dO6fWd3W2hrKZuu6qmo4A9DV2tFdM2b6lvnXLhuCMTRu8ysyA01VTS3t9U299V8eOup6uqdlgqGf1zLl333PqOXevmTV3C5B18vlMQ1dHYMbmDdVTtm+pbuzYWVvf3VlT29tdV9XXV1c50F8XzmYaQtlsQyCfbwjmc02O5zU5ntfcX1FZ8cKhC1keOYIX5i0kGwoxZ/2argUrX9wYfSG5omXnjjSwPRcItD8///BZz887/DUbp047srumbmNvZdXWTLhiKo4zFQtYihdc7MAqai7FvleWY8nevwGeLBwk/flbLsUSfk/DAqZK/B4QbIbhF7DeoYlYQbo4eJmOBUbF+34iEY3s1WKiRYHLCVgC+clYr0tBH7Z21l3A/2GVd2BBfCE4GRqwtPq36WbXIKX491UjrUaKJ1NvcuBzUwKctD3PtVn417GUnYuMlmYAlrL3lZt/84/Jw6Lf8QIBgtks4WyGvqpqanq68jV9vUvruzon1/V0TasYGKgHevsqq9Z119Subm9oWp0LBHtnblofaWnfflhdT9ccx/OymVB47UC4Ip0PBDoqMgPhcCZTVZEZqA5nM9XhTKY6nM3UhLLZ2nB2oLa6ry9U1d9L5cAAFZkBgvk8ecfxssFgTy4Y3Jlzgpu9gLM24HnbggMD7RW57CkOLHZ27Y7fgfUuLMd6MY7DegsqsQNUYfioUF1SAQSzgWD7tuZJW1bMPjS0Ys68melpM8Ph7ED3glWp2jnr1/TU9nTd+9s3vGVmMJebf8oTj9x08pOPdDq7rkeVw3pHXsAOfj8DVox0nSl/BeoYnncxcI6D11Pb033/oWtXPvq6++98aVL79hqgpT9cMfWFQxdE18yce8yWlslTtjVPDuxoaiGYzTJj8wZmbVzHrA3rmLVxXaZlx7bta2bO7XnqiEXhv88/rKmjvrGusaN98+z02qeO/vszDx714nPP4VeK/emsN9Q+dswJZ/VXVL4JxzkZC4QKw06F17UPqyIb7xWkC8FL8QrSxeXXK/emN8JfjbtQ2n88FrjMxd4DheG1TmzdsDuwpRbglT0rh/i3LfTSDO1VKQQuW8er9ySdTjdgvWaNEzWkIDKUghkpe3d/5l+u+Olb224aqKhg/poVvOfmJfRUVpMJh7KNXZ23YF/0L2Fn+TOx4aNzsINDGrjbvzyGBRFvw+aPacd6AX4F3Dt0Hhd/2YMqbMKwJv/nAuzgczS2zEErFoy8nM/h330KVhI+tAILBquhOrAehmDOceodaA54XjDnOOQDQUI5G8nJBwK5QD6Pn5+5E3g6PWVG5UOLT1k8EK7g/HtvD7R0tD/E4MKYSQbXo3oLNjwxzX/sXv91WMrgquIvRJYk8v4QylFY+fTFWA/BGqx8+ndYKXMOK+s92b+8zn9NAlgg9gQ2FHFvy45tT//Tjd8Od9bUTb79rPPPTU9rvXBHY/NZmVB4UlNH+5oFq15ceeJTj25u3byh0n+tWrY0T5763MIjW55dcFQwPX0mk7dv4cgXnmPe6peo7+6kt9qGuwbCFT0O3upQNvtiQ1fH09M3b0yG8rmtDJbKbwe69xS4DVlBuhC8jHgF6ZEaJnA5AQtEcth7sBLL+dmJlWZvw94jk/3bNfu72sbww0ArsF6nfVIerWBGSkHBjJS9VFv8iNWtc5676S3vJBMOM2nHNo5/+jHvlCceeSaA9yAw37/MxQ74fdgXfBo7023CDgqTsbPXu7GDVRV2oD+PwbV3fgU8MNIJ6lJt8RrsAFXIuzkVGxrYjPUUZLA5XELYgXE6cExXTW141cxDWDXrEGflnEMzmyZPCwez2fzCVS/sPPLF5dm561aHmzrbqwKeV8ng5G4vK3yqncE/ixOEu7BJ6B73n+cWLBflEixQqcPmB6kFJuUdp3d7U8v2lbMPrVs9c27j5klTn988eerN2VD4N1guxUlFlxP917PTf60r/dfzv4A7ioaFwlhAean/mJP82/0GuDURjWwoPJd4MnU4Nnz0VmARnrc9kM+Fanp7Gmp7uqnt66GmpyfbsnP7yrnrVj81a+O6rbW9PS8HQAzOJTSJXZOAMxQFN3nHad9Z3+hsbZlcv7Vl8pStTZNnd9XW1Q2EK7bkgsFluWDwoUw4fBceD1/9urP2uIL07viBy/FDLvP8thRyaBqxOY4KOUA1/v+uD8sNGi5gWZmIRvaLwEHBjJSCghk5IKTa4o9kg8GT2huaqOrvo66n2wPOiMTvEssAACAASURBVCxJPFB0mzA2Ud38okvE/zkPO2h4WKJqGOue3471ZGzFelNOwwKRQmDz4CjXWyokiBYnFh/jWVKwlw8GvefmH9F912vObdxZ1zhwyPrV3vw1L1XOXb+6t3VjujKUzw1g+R9/ZbA3aRpw2uaWKW/prap6y9RtW8LV/X2FhNeM/1wcdq2qKla8rAMDoTCpQyLe8sgRzrrpM2lp384RqeW9Mzeuz/TU1Famp7VWrps+y1vbOjvfUd8YDGazmbruzhWe46zurappyYTDi4A1OM51wE8LyyL4E+OdhwVNMf/1/gvW+/X7QkJsUQ/QZdhEdhEsAKtgcHiuDws2n8Bm5r3l1dYb8l/7WvwgJz11xvwNU2ec3FdZdWw+EDgskM/PrOrvCzR1tHc0dHb01PV05SoH+isCntfMrkHQAIMTIhb39Ozy+9oZs/ofPP60GWta5xzSUVt/hBcIHI/jzGKwx8XBgpbi+v8erIoria33VRywbByPCfImmoIZKQUFM1L2Um3xY7Av/mIe8PvIksTFI9yHg/WKFAc6x2KVKDMZPIjmsGGGPHYG3Y4dkH8G/HkkgU3R8MWZwJkVA/1nzdy4fs681S91Hffck/nGzp0N/uqYOx0LWlZgFSon+m3qwA7mU4CuvOPcvyy6uOKRY08+e+OU6dd7gcC//ud/f64Sy705Djv7PwkLosCGkiqw3qBCD0PIA9obmrxVM+eyYeqM3I7GprTjEQ7lclM3TpnubJk0JQB4Le3bO2ZtXJeZu351cFZ6bVVTR3tVTX+fkw0G2VnfSCibpb6rgwAM9IUr2p89LJpLLoxWrpx9aCMOzNy4fk1kVeq545OPP9XQ1bkJ2Jl3nJ1/OeO8WU8eeeyF3TW1p3iBQDOel8dxAgxOmbIeC4DqsMUwr0lEI8+M5P87zArSp2NB0quuID0kCCr08uzy+/aGptbnFhy5cO2M2TO3TprS2F7fWNVfVe3geQTyefJBm08xkM/ZImCBIOGBgUxD184dk7dtXb1gderJRcufeqq6v28TrwyMekaax7Q/UDAjpaBgRspeqi1+JRZMDJXHDlQbsCGlDcNcto3kQJFqizdi07xfgAUGC7AhlKEz/24FnsV6TF4CXuqpql75nfd+sqGnprZ4aYCp2FIg9xZdXkxEI16qLV6PLWb5ISzY2IkFVFl/3zuwg+iRecjtbGgKBPL5cGNXR8Dfdg/Wa/NX4LnC80u1xeuwiqDFwOJMMHRGMJ+b73ies2rmXFbOPpTtTZPY2jKZTVOmkQlX0LJjGzM2b+ifvnXjlkPWrqqatXHdpHA2+5enDzv6Dze/8bJFXiBwObCjuX37TW+77f+SszeuX5gJhk7JBYPHVw30t+QCAba0TMl31dRur8hkVk/fsmFlRTbbB9RvaZo09fGjj5/7wryFk7e1TK7IBUPgeTR2tLNg1YssXPkiMzan8xWZTKanuqaiP1yZqcz0r2rqaH82nM0WSrV3Fl1e/nvNjNn9t5170fyNU6cflw8EC8N7xStIF4KXEa0g7Qegk7CA8GisR+1oLMG2hcF5XDws2NyK53XieRXAbAKB+lBmID2pffvzc9etXnPcc09snr1hXWG9sOGCpOIVqAs9QcP2AO3h930eBKXa4k7gkHmLKt745idyK16cMfftV2zcl48vBy8FM1L2Um3xj/1/9t48zo7rrhP9nlN73X3rvVtba7EkW14S49hObCcenEBGISQhTdg0A7wZIA/eMDxgBh5k5jHMhw+TNwEmDA8IKA8SmgBJaMg+ieM1jmMrXiRZS0vd6r1v332r9Zzz/jh11Vetlm3F9oCZ+/18zqfWW3XqVN36feu3Avi9bTYxSFOQAqnKz0FGtgxjs9CgD+n30UtwtiM+G71+MrPHpiik1qab3+NeyJwcPgd0zzADTmho+q6pcE4YpWjEk4FjWOuCkjO20/lGplF7GpLwXJw8Pn1V6Ovssak0gH8TtbXoWjwAbxLAHQTIdEwLnNBOzGmTKELqBUihPgJpOisiIjaerj/4Gx/81aygdArS1DNBOG8TCIVTxdR9zx1ZX/F3Lc7FxlcWldG15SDmdmg0fogS2dJIa4RQUVjHtJ+POZ0PP3HrHae+9JYH7hCUvicai3K81fzcXU89dupN3/4GpZzfzBTlThqyHYvD43j6yBvE2T37ace0YXhukynqYqiquhoEk3Gn/Xy6UXtBDcPdBOIN6Ubt7J5LFx66YfaFOYXzBK50uE4BSHNCsoKQDOXc7nUgkv1UfUFIQ+FsQ+G8jC3Ep7vcjMU7Z/YcsObHdibW84OZRjxZcA1zB6d0MjIPGVsOXYEkR89DElMKSXDeAklKzkESy4cAPDR9eHJ56z3eDpEmKI6rSc41NUM9870kyMPLMIdtM+98JyRo9tiUXcrk/v7U3kP3ebqBHcuXWvvnzj0weXz68es9Vh99XC/6ZKaP1z1mj039LIDf2WaTgDQjdJOI+ZDCfQWbSdja0XoBKaxykFqTIUjSc7nGD2TukK0kZ6Vt2eUnj7xxYHlw7E2lTO67aunM7lBRleHiKnYuzmHPwgVnbHXpmbjT6Y326ZqyUtHxVyGJzSw2o6+6DQB+AbK468X13MB//W8/+jPvy9fKb7nrqcf+8rbnn2ZEah4OYjN01wCw2DTtFx5/410jFyb27C3mB41QVQFCQARnlPHTTFW/gs2cLvORZkiFjMS6BcCtnqbfq3B2k8qYEhIKAgFFCPiKCs8wZFh6GKBt2qIZTywBeMj03K9+5e5/hucO3rRbEHoXZP8sCBECUFPNenH/hbPuTaefzY2vLcWo4GjbsUo1lVk5u2v/wMLoRKaYG/jrVjzx4enDk0/33tSogvRhbIZIX64gTTh/PNlqPLVj+dLJ+x5/cL5QLXUzIqcYpenVwvBYMT8wUUumh+uJVKEZT2SasUSyEU9a7VhcBQCFhVDDEIxShJoOyhjSjRobKK274yuL1fHVxfVA1Vqzu/bGLo3uyBVzA8OhppmW01lNNevPF8obTx2cPf3ojWdPXsQmWXJfay1JDwm6FuF5MTJ0LRL0srVB8yMTf/Rn7/nRD4SKPBSnFPc9/qD71iceHJw8Pt03N/XxmqJPZvp43eNFNDMCMjpJh9TEGJCOnOo2+14L4ZYmQqqQth3TAlXVqBCq5TrU8tzLJ2RUCajgbSrE5ZI70bm7Trjr2MwGyyAJTRYymqoA6dA7hM1Kzy3IEOiVjmHuMQJ/V8uOu65u/MZgZeO3AQSTx6fFY//2ZzMXJ3a/t5LKvquRSN5dTmdTxfwgBCFIN2rI1irNwY218/vnzhV3Ls0fUTgfhiRLXZPUg5PHp9cAYOrkrAEZtv1TAN4CIR7df/Hs39xx4gmFU/o+w3eP5KtlM95pI6QUTFGgBwFCRUXbsoXKQlLMD+K5AzeJU/sOCdcwSbLVOKsF/olKOmtxRX0A0u/nU8lm/dHxlcXvSbSb7x5dW8buhYu1ZKuRJ/JeXQip8tzy0Gjp+QM3Gqf2HRpvxpO34eoK0o8BOAOpHbtWNtud0bPAIZ1sK9E9tSAJbAGAByGe0wP/ZLpRO7t37vz8Hd9+onJy/+GbLo3ueGMpmz9cS6b3hKpmJpv16vjKYmXPwoX2/gtnw1SrEcOmxmizGJaEj2uYxPAi5rLe5cnj069JaHVEghJ4+dqf3uWuiRUhVdCxbHQsG5965w+gmB8EhMB7vvA373nfL/7yp1+LvvfRRxd9MtPH6x6zx6Z+BrJ0xnYIIIWmC+n42p16PS2EfCl3SY8J6WgaAxBvW3Z8fmwnnR/bibnxXXw9P0gVzsRQca05trZU2rF0aXly/vyS5XsBpGDs1gJKRlO7p21HpLpEqTfaSMFL1BISABzTwunJg3jm4BEsD40h0HWoQQA1DJBu1NxD5061b3/mST/mOd1+dIWPDykkm9F5BgCY5XS2+thtd3nPHjySCRWVjK0ufmtsdens2sDw0MrQyM2OaY+YrrOQbDVeUIKwobFgZ7LVOFyolKydi3PwNR1n9xzA6b0H4Rom9ly6gEPnTmHfxTPM8lxFYwyMUO7pxnzbjp1+9uCRsXO79h0p5gdOhKr2EUhT2pDldN4ysbzwznyt9KZcpTw+sr6CoY01ACDFXKGyVhieXRoZW1saGvM2cgUz0PSuWW1rzpU5SE0covsyCpkrZkd075+FDFHvtlPRvrdBZh6+F1Lzk4DMGPwQpOnokenDkxvXujdROYzUlpa+juVuKYdeOLgO8rPNcuPlphS4FqZOztqQYzhGOB9LtJuTsU57t+U6EwpjbzZ8j9hOByf3H0bHjgFC4ObTz/zEL7//fa9qfb4++tiKPpnp43WP2WNTPw3go9ts8gD8KqRTbFdod8mKtWV6eX4jm8+c37l3eGF0orA8OJqtprOm4bl8fGUx2LU0J3YtztGRtRVV5Wy7hHe9CCFJgwsZctuKpgySOA1DCl9ty284NsOpwQnxi7mCMj+6g5cz+fLq4AjW84Mpw/es+x7/mrjl9DOkmCtgaWAkHC6tO8MbawaVjqciuvauSaAGSe7GIQXS5aR9vqoFiyPj4tTeg3rbssNsvUID1aBnJg+IWipDstVyGG+3Al/TlFK2oIeqioFykY+tLML0XFpPpnFxYjd8Tcfe+fM4dO4UDlw4g67GCriygjPBlblwpEaLclc3UMnk6Ea2wKqpTLuRSLnNeILV4ymlFYvHHMuyBaFECUORbtZYrlpWMvUqSTdqbqLVXLed9oqrG6XZnXsxN75roBVP7Ao0fYAIHui+f95yndOJVvPkcHH12Td/65EXMo1aZ2loVHz6ge8/VE1n7ghUTSbHI8QG8AyuJC//02rMRdoSCy9Odl6KGCVxdRh+C9fQCgWq2qknUqKazKjVdMaopLKxWiqdaMST2WYske9Y9rCv6xlBKCCf02VIzecSgKVYu/mTbctOgSpXnDDRakz+0R23XkAffbyG6JOZPl73mD02dR9kPZqtyeO6ieK6poVFbMmMygmZm7n/KJ6+8bZDgtK3AHgzpDmiiM0oo0cAPL816mX22JSCTSI0hk2TxkS0PAZpLhrAZi4RB1KANLBJbgikiWMUQDykClsvDCqLw2NibnwXFkYmSDORgsJCFEpFFCobGCytY2J5AeMri9Ci4pACVyTJYz2tG9rc1fZokCv9ZizBN7J5nSkKTTfriLfbIuZ2iKfpWCsMsaWhUXFxxx51tTCEXK2C4eJqKVsrP1PMDVw8tf/wUNuK3QtAp5x/2fC9rxmumxYKfReAW0zXOXfHiSeKN7/w7KTKwqFAUVDMDQrHNITCOXcNS62lMiilc6il0qilMqimMgg0HURwJJpNpJs1lmw22slWo5Fq1qvZWqVUKG+0s/UKb8XisfmRHblmIjEgCEmZrmfmayVleH0VRuDD03W4uskoZ8J2OlCEUAEgVBQsDY1hbnwX5sZ3YXFkHKGiYqS4gp2L89i1NCcmlhZ823N8SDLa27xt1n2n+73SY7EX88Pp8aFJrQwMj5Sy+UlPN3ZxSschMEIgBinneZWFaSVkcT3wddN3YbqusFyHm54LPQyuYCaRE3gTQI1sIUNt0z564sZbkx3TwrM3HEEznsQ933wI9z/21Zsnj09vTZ3QRx+vKl6XZCYIgm5ESh99wLs4a6/95//wtQvju7XFkXFYroObzjyHRCr1p8O/9p8+2nnqm3n3/NmxsLQxEjbqY03GDwRBsFtznYItM8UiUDXRicVbzDBXTVU5n9LUF9R0dlkfG1+2b3vjsj6+4xUVy3PPnI47J58dCdZWh1mtNsw77WHuOiPc94c34snR5YGR5NLwGJaGx8XqwBBhiopUo4Z8pYR4uxl0TFtdHB0nvm6KgXplecT3HnlDMj5zi9ss+wvz+bC4Phisr90Qlsv3I/B3g9IKVLUMIQwwlgTncURmC0GIcA2Tt01LEYQIKoQgnFPD92C5DiiAgFAwVYXCOVQWIlA1nN+1F6f2HcKZPQcgCMH+i2cjE9I5GIEPDoCpKhhV/VYi0amkc8FGNm8UM3m7lkypbTuORjwpzQ8AdM9DqtUI0626k6lX/XylZORLRTtbr9B0oxaqjBFE1a45pSERQiVCkJYdD1YGR8TCyLi+NjAcVgpDszyTfS6nay9MWsYLD8TMefr1/zHsnjl1Q1gqHXA95+ClTOHgpZEJ+8KOPeHS8JjCKUW601nNhv6zY4I9dXdlfXawVQ+472siCDSEgSqCUBMs1EQY6mBME4ypgjENjGmCcw2caeBcE5yr0VSH4Bq4UCG4JrjQIIQGwTUIoQkuVAihy3VCE3KqAt39ovbyfboEQAJBSSgIYVxROKOKCBWVhKpKAlVVAlVTfFXTAlVVooKpnBB4FKRDgY4qRFuFaOmcN03B6jZjdYuzJqWKB4WGIDSEEBScK/I6o2tnXBec6eBcF4xb4MwIm437lwdHKBUCf/2O96KczeNH/+bjOJxM/MLgz/3Cg6/k/9PHPx1omnbitTju65XMfAjAr/9D96OPfxzoPPNtfPLEM3jozvsQbzWw59JFAATvfOphTPyrD2KFKJgFwQuc4kzA0BECI7qKfZaJAyrFXqeFRK2CsFREWNpAsLGBcKOIsFSEcCWHoYkk1MIA1HzhctMKA1ALA1AyWRD6UhYniXrIcMH1cNH1cdGR0zbnSCkUu4jADrcDr7SBS6022okUVnIDUFiIfXPncGD2DPbNn4cVBkAYApRCzeagT+yEsf8GWIduhJovIFhdQW3m03CeeRrWzbchffT74Q0N4/H1Er65uAzWrCPbasFsNZBoN5FoN5Fpt5DttGA1G6C+BwDwNB3n9uzHqb0HcXb3fhAhcODCGRw8dwpjq0toxhMoZfOoJjOoJ1KoprOoZvOoxxLglIJwDj3wYbkOMr6HEd/FqOdgZGMNybOnoBfXAEoBzgFCQGMxQDfgGCZqqo5AcGiug3S9BiPw0TYtNGMJEAiYngvbcaCycFMdRwigaQhtG4tjuzA3tgNzg2NYyBYgCMF4vYLdxVXsWl3ExMIFaNUKRBAAqgY1k4GSy0PND0AbHISSH4Bi6ICqgWgaqK6DaBqI1p3KeagqCLmqmsQrghACCEPwMEDHD1H1XNRcH3XPQ8P30fQ8ND0fbT9Ax/fAwhAKYzA4RxICCchpXAjYgiMmOGzOYQoutXghg2AhRCgbWAgRMogwiJbZlm0hRLQOYSj3Ywxg13a/+f0f/imsDI6ACI4P+zUUjtz6qo5RH69faJr26v5hIrxeyUxfM9PHZTz8ex/5xT/67ne/HwCOnPo23vWVGVDBoTB2ld1JAAKUOoSQFqG0BUVpEUWJpmqbqGqHqGqbaFqLaHpbEAgEgcWDIC58Pyl8LyeCIC/8YAgsHEI3i66qrVFdWyamuUzt2LKSSi83x3duPHrgSOK8ndhZY+xQh/PDocAwAToWJacTinJqSFdP3ha3T9VCZn6j0f6e9SB8PwcSFGhmVOWLeyzjoalC5inls3+1s/P0k+9itdq9YOEwKC2BKh0IboOxFHr9bihtElVb4Zpaaqj6gWS9mnt+/2F87U1vFaX8AAEABSjFFHpir2l87p251IlJy+gAwJmOG59ZXnvbkhe8vapqt1DORbrTrqQaVVUJgkQzFjdqyTQ8QwbrxNtNZGpVZOoVZOtVZLqtVkGi1RCgSl3T9TNqvvCN+Jvv+UrizfetE1UqHpoPPzg4//ijP7gC5ftWBwatxZEd/lp+wGokUtInxmkVbUV9NpZOPXH73LnyDc88mSAbxRtYq3VQeO4+CBEDwHxNYwsjE3pkNhLLQ6MEAEZXl8XE2lJrYn2luHt9adXkog6FekIIA5wbYEwHYwnBwhQJWRKC2+DcJACN3oocAMj2xUA3nydCAkGpD0IDQakvaO9UCYSiBJzSQCiqzxUl5IoScEUNPF0nHcNUHcM0OrphtA3TdHTT6ui67WiG7ep6PFA1PVRVhIoaCFWtCVVtCE2rCl2vKopa1wmpG5TUTUobGiEuZFkMEk1p9H6X85EVUq4HERDd/YiIrlEABELuy4UgAkJjAjqDMJiAzgGDC2FwQBNc6BDcBOcGONcdzg93/2+cUjBVPpI3txu/+29vvfHj1/m37uOfKPqamT76uAY+9JmZT52ZvOF9IAS5agm3P/MkTM+F6XRQqJQuxZw2UVloKYxblDOL9oSTAtIPgBMaCgIGQoSI3E+IACEQChFCoUIoW8/LCQkZVXxGaRgqKt/IFZSVwVF1dWBYWx0cVou5ARAIDGwUMVha8/OVUjvdqNW0wC/WUpnq4si4ujCyI9uKx3cJQjOyK2hD+unMQQoYgs0IJwKAxNvNbK5a3p1oN3epYZh0DbMUKMry6NqysFx3uBlPZM/v2qdtZPMApRhfvoT7H/sqdi3OoZTOwfQc37HszurAsL86MMJWC0Mo5gftjmVbnFIdV2oaODazHFNwHgyUN/jeuXPKkdPPqCOldVSTabGaH+KhqiiZRk1ka1VheQ6lQvT68XTHGowq8AwDLTuGeiKFSiqLejLFFcYwtLFGQ0UJZ3fu5Wd371cEpYogRDBFCTmljBPKQAiFEIru+woVnHq6QYgQGF1bxuSlWexYnMdwcRWWJ01mIVUgCKAxhlBRsJ4bxOLwGFYHR7AyOIJibgBM3bTsJFoNjKyvXNFSrQYCVUUxO4CNXAGlTB6VVAbNeAJUCGhhADUM5TTKU9Ndd9VytO6K32xZ113/Yp+wjFKEiipCVRXRFJ6qc8eyhGuaomPawjMMuLopPMOEpxvwdEP4mg5f1+GrGkJVI4GqIlRVwhSVMEUhjFLKKaWCUIrttE5CMBDS9cfaTFsgRGG7/U2n81PH33jTH7zIpfTRxytGn8z08brHb3/yL77w9E1vfDsADK6v4N4nHoJrmnBMC4GmN13D5K5hMse0uGuYoa9qXBDCSSSETM8jlucQ03Wp5TnE9FxqeB41PZeavqsYvkcN11UM31MM31O0wFcayTSWhsewNCTbytAIAk1Hul7F8PoqHy6u8NG1ZTG8sQLD94nCOSFcUCr4Va97AUAQAkYVwRTFD1Qt8HTdd03LdUzL9XTD9zU98HXd93TDd3XT93TD71gWXN0cDDR9tG3b6VoyrYSKTIonDyx4vrLRnrx0QUm2mjYRnE3OXyCD5XV64tCtePDO+1BPyJx9lHNkaxVMrCxgfGUhMDzPZ4qitu2Y0UikwloqjWoyo9aS6YZjWhdByBwAdaC0fuu+i+dGbzz7fGdkfcUOVK1RzA889+yBm87Mj++iY6tLh0bXlnaOri3nCuUNVREcvqoBBFA4B2WcE4jLWYVJz5gAEIwqrVoyVb8wMWktD49klobG6EZuAACYGgbnA03/Jgj5NoDTALw9l2YTN73w3N6hjbW9yVbjgOU6B1XGhgQgBOARQCOAIqJQeAIYAmChos57hvFM24qd2sgVTj1xyx2n58d3daKu8Dufeix7+NzJQ6lG/bDKwlu1ILhRD4MhTgirJ1KltcJQa2FkAvNjO83VweF8qGrdbMF1yKifZcion8We6WK0XkCGfl/ZhEioLEyrYZihnKeJEN0IpaQgJCEIiQtCYpxSm1NqM6pYgtKr/G0oY0wLg0ALg1ALAmb4HtcDXxieJ0zfJYbnEdNzqem5ium5qum5WvSsw/A96L6P7rwWBKAQApvpDi6nPCilcwfadoyGqoqZ+4+inMmBCIEf/8uPfff9/+m3vnK9/+s++rge9MlMH697PPILP/f3H/2xD34vCMH9D38J9z75yBVhv8DWxSvQrSzdjRrpvqA7UWs3YglvduekOT+2M74yOJItZ3JDgabH1DBoJ5uN+UJlY2HH8qWVg+dPF/PVMoOMXLIB2L6iptux2E5PM8YIRMbwfWI7baaFoUJ6+hMJ8m7Rx67ja3dTKIBQgAhOCRWEqgAUIUAayRSqqQyqaRkJVE5nUU1lUU2l4Zo2AMDw3CDRbrbi7VYohDCy9Ur89mefosPFVVwanXBcw3w41ah96fHb7ro90LR79CAYjrebSLUaKFQ2moXyhhdvtyyVsxgAhFTxK+ksraXSRICcpow9dGHnZHNhdGLUNcxbWnZ8smPHLDUIkKlXK4bvnWjGE3+rcPb4T/9/v2+avnc7ZAmIOyHDw7tVu9sAlltWrHZh557c4vD46MLIhLk6MAyVhZhYWRA7F+f5rsU5Ora2RFTps9GthbQAWT5gGVdnaW5CRpjdAlmX6rsga2tRbFZI1yKCE0BGpxHXMMsb2UJxaXjMnRvfpVwa25HqWLFhREVHLafTmFhZaI6vLLLRtWV9sLQeT7abcU4Ib8STlXImV1wZGKnOj+/szI/tDD3DjOFq0mJv80wGUZ9fbmu92Pbpw5MhrhNbIvW2TWGwdd3JvQc/vDI4GlNZiCeP3I5WLA7TdfATf/mxN9/9X37n0evtQx99XA/6ZKaP1z1mj0197OlDt/7Lz7z93dhz8RweeOTL0IMA2XoFVIZha1uaAenr0ms6EgB4oKh8dWAYS8NjdGl4jCwNjdFKJgc1CDBSXMHY6pJsa0vI1KsvagbYDiIiToGqUdcwLJWxluU6JbKZX0YAEBxQAlVNNGLJeC2dMeuJtFJLpkg9mYrISgaNeBKCUqhhcNlXJV2v8UyjGmTq1TBbq0DzfePCzkn15P7D/NLoDhrrtNn+i2eah888z3YuzcdUzk3gmiyvQ6RAbPiaFtSS6WzLjg9wQkJBaKtj2bSWTMca8aQWqipsp4Nks450oxbmauX1XLVcVWS+m1FIof0cgBkAn5g8Pn02undjq4WhfzY/tvMDxdzAG5dGxlJrhSFoQYDx1cVwuLi6OLay9Pz+i2dTGgvvhgwFnou63Jskr3sPu4kRBYCEAPRQUeHqhu+YVqUZT7RqibTfjCdAhLBNz40n2k07V6uYuWqZqpyhZdlo2XH4miyUbnkOsvUqFM5RTaaxgvSkNgAAIABJREFUMjiC1YFhrERmqlYswRERCsvptMdXF/nE8oIyur5sDZSKyWSrkQQgWnZ8o5FIXqqksrPrhcEXTu07dHIjN1DE1eTDu87H6h8MUydnLci8RRNq4H861PTEFTsIAdNz33z8DTf2yUwfryn6ZKaP1z1mj039BoBf2cjkUI8nsGdxHsBlAb2Ezbwc3S9vBoBxQrBWGIpdGt2RWhkcSawMjtgb2YLOKUWhvMHH1pb42OoSxlcXMVhapwrn2zqCCgCrhSGc2XMA53ftRSlbQL68gf0Xz2Lv/CyGiyvX9CD1NB3VVEaU01lRzuRQzuRJJZUhtVQazXgSoaoBQiDebol4u4mY00G83SLpehX5ygYfXV8Jc9UyVyAUSHJGaokUOb33IE7uO4zF0XGkGnUcOncKh6IoJIqX95+PzF+cUUoYVYigVAhCiAAEFYJRzkLKOVM4Z0QIEpUf0PEiDrMA0LZszI3tEnMTu/jc+C5RzA+qWuCzQnljdbC0fm7P/IVLuxdmcyDkcKBpY55m6K5hwjEtt2PHOoGqWb6mqxu5wuml4bFZTzN0PfAntDAYE0CCKaoeqBoCTYOnG+DKVe5OUIMAeugL3feF6TrE9D1iug7ylZLIV0tBrlYJ040aTbQauso5DSnlvqZzEKJSzoXCQk9lrGuyKhNZJf0pACeidmlLtfIjkFmFb43awWiczkFmHu7+7tuTx6drL+sGvcaYOjlLIfMkTURtvGe+u1yIdvcgBAUh22Wtvn368OS3/id0uY//hdEnM3287jF7bOrnVwaGP/zn3/fDSDbreOCRLyPVqCHTqHEi09XrAAxX1+1GPBWvJ5JWPZHWqqlMVCjRQ6LVDFPNeifdqFVz1XJRD4MyZPbc3mJ6G5A+EMzVdOvE4VtvnxvfdefqwPARx7JTqUatNHlptnTTmeed0bVlkwBZRmi2kUhqlVQW1bRMEFfO5HgpV2D1RErxdYMCAGUhbNdBstkIsrWKn69suEQIUcwNWJfGdlitWIKOryzgxrMnccPsC8g0Lss7BiCopDLB8/tvVE7tO6StDI1q6XqVH5h9gR04d5qMFFdVKjhUzgTlnHSZRtcvhQA8IEQEqkZ1xigVvNtP6EGAmNOG5TrSZyIMQDm/QpPDQaRDqa5LJ1NNR6BoYKoCpqhoWTaKhUGs5wdRzA2gkUxDC3wMlIoY3FjDyPoqBsrrMAIfWhDACDwYnvTV2Eq8Qqog0DQEqoYoygdMoQipilBTwYgiBCVMAJwICJWFihYEqhb4oe57HdP3PCPwKZW+JxqkNqwCmSSxmyW5t/hoAjL54QhkrSwDV6JrIgMkWe6aCDsATkLW3/oWJFE53y0nMHtsygJwEySx6ZKcw1GfLkT7XyY5k8enyy/6J/gOMHVyNomryUnv8ig2o+TWIE15C5C+PgtbljcoYz8nCPmwoJQAAGUMVPALoaodnD486b/a/e+jj170yUwfr3s89Es//67j7z32Wdcwka1VcMe3n4AShhgoFz2Vs9OebhQCVcsDMFUWhpbrNE3PbZmu65u+yxTOVUgh1S1E2U1cJiN4trfCXBMCAKdUMEVBSFXCFYooYRk4oYIpCmFSW8AUFgaG7weW2+FaENC2HTfqiaRWS2WIp+kgQsDTDeiBzwfLxdbgxlpZY6wDwG3E4mRpaCyzMjAy0EwmY5ofhIlWQ6QaNS3VbIQxt9NWw4BQzk2Vhbrhe1xjjLYMC6VcAZVkGh0rJkJNI5Qz6L4PLfCRadYxUlyFwhgu7Njtn957sNGMJVmgaWqgagZTFDNQNdU1TO4ZhghV7WrVB+eCCsEFIVRQSgjnwvA9Fu+0wlSjztL1KqzI4dTwXdXocTI1fA9q4EP3POhBIJc5uxzWBQA84mJdv6MtDsRbKye8FhA9p7yec3BslrhoQ/r7tCHNVB6k/0m3rlcmagokiV7BZhbrWUgC5kJqGwNsah7DtmXzU/sOZRaHxwvldK7QjsUGpLO4Nhwq6jCndBSESJOQEN1CpgsgZDuysvxyTF/nj0195OHb3/Jzj9z+ZgSahonlBbz3839dS7Uao5PHpzvXMUZ99HHd6JOZPl73+MknThxt2fG/FVsT1wkBEPItyArVTwL4JoDz04cn+cs99tTJ2WEA76Es/AHK+ZsUFoaG5xVN3wsUzu1QVXMCRFc4g91p++lmPYx12kRhocYpVR3TRsc0oQUB8rUyy1fLnVy13MhWy2Uz8FshVfz1/GCilM0XWrH4MBGCGp7bBGASQE8162uF8sZGvNNinNKYq5uptm2nA003BAjRQins9cAH5RwQQmozBEAFB+X8Kk3KS6EbPg0IKFwOVaiqCBRNZiaJQKIx5pTCj5LddeyYcAyLEAhueF7b8N2O4XltKoTnmKbqmLbetmyzY9mxjhWLBZpGOCVCC8KG6Tr14eIqHygXrWSrkVE41xilZUHIImVsUZEkIA3pNJyGFPoxSAJwNaHavJwAUuNSBFCCJKs5SI1LHFIjswSpfehAktp4z3m653gxExpHVFW9Z3jUF9n/WrhuIhaRZwSKCqYoCDQdgaZFWisFAgREcFAuoHAGhYXQotBvPfC35mPqLYHRLX7aWzW+lzR1Hef9aP5ubH8f3jl5fPpz1zUKffRxnXi5abP76OMfLZrxpAMhetX9XXxr+vDk7S/1+8g3oFt1eReA2wG8CTLiJQ4AXFHBFbihpl/wTPtCY7PG0wKkoNsB4I2QFZaHABQhuKv5/liy1fzKvrlznw9VLb86MDw4P7pjuJgbmKyms4fqiWSSCMByO4ITSh3TgsJZ2vJcUM6Fp+lDvqaPiG38PsA5o0J0ANQEIQGESFLBs0R+oPicKgpXFI1wxmLtVjtXqziDpfVwZG1ZGdpYsyzXSRqBT/QggBYGEECbAlUChCpnFqRWQAXQ0MLQ0sKQAXiiFk+W1gtD+5uxxGjbttOhqqmG53aT5pGRtWXYrkMBJAQhia45i0q/misQ5fRhZDMypmcTmMp5DtK8c8tL3cctvwU2tSY6ZH2sgW3249F1ZiHNPleMMDaj3Oq4suJ615ykR+1yBBvkc8ix6YzMIcdRx6bz+bVAuuMlgBCEQAgQKsPXCQAwQhComvQFEoIrnAktCKjJfcJC4iuMVTTfW6RCXNR9f0GBcKL+WdH5u9NuJFJXK6lvaVrP1Ir6/bII2l+88/1wTRM/9OlPQOfh2Evt30cfrxR9zUwfr3tEtv8qrn7J/vn04ckfifZJQxKV3T3T7vxOyJd2t0CjCqn+vwDp9zALKZgA6fC4L/rNCOQXPoUUWl2/gO5X/FZ0v9y16DzV6LgpyLwicwpjc6bbgcLYbq4oo55h6oGmI9Zu+eOri9XDZ54rTl664Puqll8dHBlYLwxZK4MjWB4cRTORhBb4KJQ32oXKRmWwtL40trp0cWJ54ZzK2QaAjbO792mP3XbXO9bzg+92DaOZaLf+5IGHv/R3N549SQHkXd0Yadnx3YGmTQAYMTx3p6cbhdXCsKlyRiYvzSLQNHzjljehEU9gpLgqBjfW/GSr0WSKWucgFS0MmjG3o5iuk1Y4HyByzFRcmUqmCGk22YDUmjQhSUIQ7Zve0nKQpGPruPrRveoW7mxHzYnGeCy6X3FIQqJBalqATeuUF92bbqTb1nvWDdkPsJnAkGLTJKn0tFeM7iBdo8o4791ENvvzUuhqWlzIcapDjlkNUjPVwmaIdyOaditrd32Ies1ZveelAJSnDt785JO3fJeqMI71gSH4mo5ks45/88cfue+GP/nzr1/XIPTRx3XiusjM0aNHDQAfhcwRkYf8Kv3NmZmZT0Tb5wEMQr5EAODSzMzMoVezw330sRVTJ2d/HMAfb7OJQQrNDDa/+rtf2iGk0Oz6yWyn0meQL/IQ8oXd/aplkEJ4CVI7czZa7gB4AMB7IEOQ/wjSufN+SI1NCcBnIJ2SbwPwg1FfTkIKwluj4wfYdAT9q+g3AwDeAKnKvx3SMRUQomF47nMD5Y2v33Tmubk3PPeUo7EwD0kg8gAKAsj7ur6TEzqi+76uCGk6EoAINM3vmHbYtmNoxhJaMxbXS9k81gpDvJrO+o1YUgk1TSOcdZLNxsqNLzzH7nr6sV1xp6MDcAnwdQCfgyQIXS3K1tYbPh2dGiS6TrfnXsR71q8AmIckkmeisZiLxjwL4CiAd0DmqqHRPt08MzquJkODkKRxK+HYmquPRPekDPmsGNHv7Oi+d32oeHSuS1E/LwG4VE2ka/PjO/XlwZFkqGo7FM52UMZG1DAc0gI/b7tOOtmq00S7hVinFZquK7QwJApnCn35vjccm1qnAJukpBvezbGpienNZ6Nvc/2vOjgI/vR9xzC3Yw8A4O5vPvzhD/74v/yF1/q8ffyvjes1M6mQL5m3Qf6B7wTwuaNHj16cmZn5RrTPu2dmZr746nWxjz5eEjsi/5gr1wqhgJA2pADsagAykFqVSUjh9QyARwA8GO2zAzKq5BYAd0CSgmUAj/W056YPTwa9p5o6ObsPwJ9Dans+DuAApJC/BODTAP4jJBn5SQD/GvIr2IYkLbshHT5NbEaxtCDNXD8G4JchBawX7bcMSd7+2/SNey9G508sjk6Mfe5t7xyHFGIZSEF8IDqOAQBEcJiu6yfazfVUs15O16sNNQxFK5ZIV1PpXDmTzzuWbcbbzXDH0iV296VHye6Fi8jVyjaRY+ZA+paEkETl7VFbBPAFAF+K+leKxrOrMctgk9wMALgZkrwdgIyi0SDJIIvmd0Ttnu7dxKaw9yE1BmUAT0AK9BSAt0bneSoa878FcKYbIg0As8em9gH4aQA/Eo3JV6L9xyHNTDdgk/wIbGqUAgH0JjqkAMY5IWOc0js5ISACNNWs45bTz+CW08/AV1XuaYbv63ozULVSoOlPM0U5JwhOmJ77aLZRn588Pu339M2OnoVDkKHb+6P+TAggRSITVE/tqK6WLwdJ8LYteSkAEVLFCzWt5auaHyoqIwQKZUzTg8DQA99QOaOcEOGrGgtUlXNCCRWC6L6nGCwkQGRzUzUEuo5AUcGpIo1f3YJOXNZDU1mIQIuCoIRAI5Hsm5n6eM3xis1MR48e/TyAr87MzHw40sz86z6Z6eN/Jv7d5770fXMTuz9zxatcCMRbjUYrkboVwLuidjekkJ2BFHTPQQrUOyE1J2+AFF7PoYe8TB+eXLjWuadOzhLICu7/HlLQJyE1NZ+B1BbcAKmp2QMpCNsATkESk4OQwncBkrwUIIVoG5Jk1SALqt4ISQoeiX4rIM0nY5BCeCw6LyA1HWuQwnYIknQ8BOBT0XUtQQq/ewDcG02HIEnXQ5CalocAzE0fnuzmSbGxSUQKPdNCdP63QprctpOlHJth7aUt0+58OTrmQUiN1d2QhOx5AN+OxnE56vckJMkZic7f1Zpsl98EkOSoHl3fyWisS9HY3gCpSTsigIcq6ezH//AH/7fTQ6W1g/svnL13sLR+y8DG+u6E0455mi48XSeW50ILQzRjcV5JZVjHtKmvaYqgSlML/JLu+2Xb7YSW5ya1IEipYRBTOTMo4zoVXNmulAWjCg9Vlfu6zhzD4m07xhvxpGjG4sSxbMUxLdXRTVVhDGaUwC9fKSFbryDZakIP/G3NUowQARCiCA5GqWjGEkEzlvAd02KergumKEQPAtXwPdVyOkrM6SiG7xI9CEC3yAUBIKQKD1WFcaKEhIARIRjlHApnlHKuUSEu+zx97H3/QmpmhMAHPvuJ/3z0//rQv7/G/emjj1cFr4jMHD16NAap+v2RmZmZL0VkxoJ8kZ4C8CszMzOPvRod7aOPa+F//Mov/dYfT/3EL4IQZKtl3Pn0YwhUDb6moxVLIFDVFS0MHyYQz8vigMlbfE2/jVO6iwjRUsPwhOF7T6cbtafe8PxT3947P9t+sfOFioK/f+s7b1weGv1+x7SmBCE25XxNC4LHCYQbKureUFVvRlfACrHBKT3jGpYeaNqN6JqSCNEhREdl4QUtCFa0wK8pjGcFwaSgdBybjqQqABAhXCLEisLZqsLYmsLYqh74K6bnriWbjdVGIjlcTufe6+v62xXGXkg3an/y1se++vffuvn2icXh8TvaduwOX9O/S1Cap4wt6IH/RKLVfGLf3LlvvuOhLy69wtuQA/AzAH4UUsNiRn1/GpKUrEASj67vS+80iyt9VdoAWkL+3oQkapSDbISaOtc27bOlXOFsOZ1rVNJZt5bKME6Ima+UBgfKxR2pRn0s5rQHYk67YLpuWmWh2TXhCACcRK7IQhBVbAa2dWOtO6aFWjIt2rE4OqZNOKWwXAeJVgO5agm276OjG3BNC1oYINFpI1BUFPMDYj03QDayeb5WGGq1YolaoGkVENKBgEcgfN3zgmytrAyW1u1srWKnmg0r5nTihufYehBYahiYSvTcCIBHGaO7ULcWSQ0JDUJVDQJF4QREoYKrCmOqyhhRBL9CncUIAacURAionIMTIhzTajZiicVaMn2+lkyfLeYGnlcELw5urDVumD2TijvtGyHJ9AFIQp6HJIglbPra+AAQUHpXO5aA4bv45D+fwtyOSbzpxOP43ge/8B8mj09/6PofqT76ePn4jsnM0aNHCYC/hPwq+uczMzPi6NGjd0O+vADgGIDfAnDjzMzMpVehr5exsrLS9b7vow/MfOGLH/v67W9+LwjB4MYa3v930xiolP5B+iIANOMJLA6N4fTeQ5gf34l6IgkQCsIZMrUq9ixcwI7lBYyuLyNXLV/1FfxKwEFQzA9gbnwX5sZ3YX5sJzp2DLlKCTuX5rFrcQ47l+aRbtZftXP20cdWnJ/YDQpgz8JFwDR/3v613/zYP3Sf+vjHgZGRkcZrcdzviMxEROYPIH0LvntmZmbbL9mjR48+BOAvZmZmXtXy7ysrKx+CVO330Qceqjbwt1y57DFgeC5MzwWEwIiqYJwSTDAPo76LmOdBOB0IpwN0oqnjROscwNlc1wvXMNExLXimhY5hoWOa8EwLxJZ1fEpWDFU7jlYsgY4dg2OYEJSCcA4jDJELfRQgkKIESUqgAKhwgUXGUeECYwrFTTrFAVWBTglYVPUwFEKm+BUAg0Ao5Gdxk3OcCzguhBwhVWBrGpiqokIVBIQgxjnSnCHJQyQYgxL9NoQAiz73OUR0XFyxrTdZyrXQDd1RCaASsjkPOZ9sNnDwxDew48zzqA8MoTy+C4lqCfm5C+CKguruvajvvQHOjp2gigKNkMvhQQpIdCx5TCaAjhBwhEBHAO0ggLa8hNT8BWRXFpArbwACaCST6NgJMNOEQils34XputA6bSiuA8J70gupKkAVIAwAzgHDBFIpkHhCbms0IGoVwHU3f0MpSDIFJFMgsTiEZcEzTHQYRysI0Q58dATgaDoUCNiOg2SrjkytimS7CV9VsVYYxnJU02l1cBhcUWGFAWzGYAoOCwI2IbAUBZaqwtY12IYBW1VhEcCmBGoYAs06RL0O0aiDR1NRr0E06kAzkhWEAMkkSDIlWyoNmBbgexDttty/VASaTRkI/p1AVeXYKQpEow5fk770f/3270czkcLU300jf89bod/55u/s+H38k8PIyMhrksjyuslMRGQ+CulfcP/MzMw1WdbRo0cfBPCpmZmZ//6KerkFfc1MH7349Urne5tCfPJq90ex/v9kY/tezjE6XGCJcfWbXpg+7bMfCjj/AdN1DthuR7WdDmyng3inFVqOo9hOh9iuXBdz2uhut91NAiQAeLoReLrhuablO6YVti1bNOJJoxlPWC07bnQsO+yYttex7KBtxxTXNE1B6LV8P3oPzSG5RG8+FQ9Ag0T+KTQKdSZRWDGJ5kkUQk7I5joqt/sUxFUIPAp4CuCqBJ5GiGcAnkmJlyTEG1Kou1+jXlahL+vF4X7sv+/kl+Z+CWE4BUofIan0fxFhkEOn824w9kBIFac4OPz1F244cuLEzW8seYo6zATGODDOgTEhU+p3/YFaBFikwBIFlijBkgYsFhq10tse+lJufH72BsX37gLntwFgoPRJaNojJJ58WHvbdz/F11YtvngpL1qtLHwvL4IgDxbmOOM3OLp+xDHMCcew4h3bZh3TFh3LVjumDdcwIIgkEUbgc8t1RLzdoulGjWTrFcQ78lvO1Q3RSCSDVizuts1YEGiawgmJA1CIEMvpZr2ZrVdjsXYrr4WBHT2tPoAqCNmArG9kQprd8rjSD6gFQmRZDULKILQCSsqgtAyqVKCqZaJpZWJZZcTideF5JprNYeG54wiDCTA2Ac7HIYRs8tgCwBoIWQIhtWjZhhBDEGICMvqp66DcTV3QffZ64QGotUxrsJTJg2kaPn/vO7CRG0CmUcVP/dXx/zP7y7/2hy/neenjnz7+0Whmjh49+lHIhGJvm5mZqfasn4B0zPtmtOrHAPxXAEdmZmYuvDrd7aOPqzF1cvZdAD67zSYXwJdxZXKweNSsnnVbK2i/FLamAhEAKpSx1XintZFq1lmy1UCi1VTi7ZaqB35BYWxIC4N0vNNiqWa9E2+3mOF5ZpScrnsQzimtc0prnNAKp7QiCClXUxk6N75r/0ausLdpJ+yObcPVzUVPN77QisW/Iih9ePrwZPH6Ru21R+QcnQcwceTUM3fc/dSj/2JoY+22paGxtS/d80BpfmxnHsAgCCGEcyRbDa4HfjFQtdP1ROpbgtJLuDK1fr3rlPwi59T3zp0b2zd37m26799DhHgjU5TJthVj5UxupZTJlyvpbKdtxxQQksWmz87lXC0KC13LcZBsNQzTcxnlvAiC5Xi7hcgnZ8DwvYrheyuxTrudbNXThu/nifQB6s350hvKDWyGVAPSobsBSRJy2Pw48yCdv78cTS9E++Rx7dD33vW9EapNSN+Wra0MqYBTIP8DiWgMBrEZRWb1HKMdHTcFQBNAyCjljCq6IARU8FBlTKFCEEYoOCX4y3e+H2f2HgQAvPfzf/XR9/7iv/vgi923Pvp4pbjePDM7IEOyu3k6uvhNSGHySchoAx/AaQC/OjMz8/VXqa999LEtpk7O/u8AfnebTQzAecgcKAlEjqTRtu4XZ2+OGRfSeVWL9m9BRiaNR791IV/o3cywnwXw1wC+OH148nLtmSij8D0AfgjAeyGFxt8A+ASAr00fnuzmYcLssSkNm1/ieV/VBpeHRm9rxeJHAlU7SDkftVyHxpw2Eq2mH+u0ucpZb6bcEFI49Qqqawmw7nyzN1z5O8XUyVkbVxYn3K6qcrevZQALE8uXau/4+hcmxlaXdldTmadPHLr1d79+530PfvD477WGSuvvBPADAB4QQKNtx2bO79z71Zn7j84Gut51Fu4K7tw1WryniwxAhXBetVwnTDXrerZWSacbtZzlOgGBOB8q6olGPPnY6b0Hn3Asex1ApVsUcfbYVBoyl81RAN8TXcvXID/YxgC8D/Jd+McA/l9I4pXGZqRXN+prJ2RyxnHIyLEC5DO5XWqMXqLcfS5LkM/hswC+ARlKvgGgOnl8+rLtbPbYFIF8TrcjOXkAeQHkfU0vOKY14BlGztONtGuYimNYcE0TbSvmtq2Y27Hs0DEtuIap+Lquerqh+aqmWq6jDpXWMVJcwfD6KkaKK0i0W/AVBdVUFr5ugAqOR2+9E88fuhkA8IHPfuLvjv7qrx/d5lr76ONVQz8DcB+ve0ydnP1BSCK9FT6Av8BmLo7d2AyR7iY+CyG/fJvYzPHyNKTA+FcAfg6bWhsXwN9B5pP58vThyR6HCmDq5OxNkATmA5BC64uQBGaml+xs+Y0BWQbhnqjdBSk0q5CCcR2SqP3+9OHJJgDMHpvqfs1f6+t8uy/3XiEf4NpEpwSgFCpK5cLEHpzee9C8sGNPop5MDQpCt5KVXHQ8D9tXU+6uW4mu6TLpuPX5p2+5+6lHf6BQ3rjh0uiOuS/e8/YLSyPjBoAchMgTIXKC0svaMoWFIRGiEirqCggpR31+sVYC0NiuDldEUt4M4L6oHYEkrg9DhqY/COCZboXrnjF/C2SI/9Ho+k9E19fN5fM5AL8P4Mu9JOPFMHtsahjAFGSunpsgnxuOTXPOVf4FMiKLwNd00bZjnY1MvtJIpVtNO+G2YnG/FYuzthWDY1nUNUzN13QjVFSbUxoHIWlszaIsRIty3lIY6+ih7xqe51uew22nI2KdthJvt9R4p2XEOy071mnHbaeTNF2XWJ4Dw/OgCO4AYCGlcSIEqBD43L3vwDdvvQOJdgs/+6e/+xeH//DjH3g549FHH98p+mSmj9c9pk7Ovh/A9DabuvWaessIAFKYn4QUWk9BkpfZ6cOTfOrk7CiA34b86lYhv+4fBPARAF/pfrX3nHsckrz8EGQI6zcgyc6npg9PXhVSNXVy1oTM4HsvJHl5E6SJ4WlIoT8JmTTtywB+B1Lr87ILY14Ls8emumQiDyDfiCXGm/HEZKioOwUho5TzAZWFGS0MErrvW5brKHq4GRUcUkV4uuEGmtYOVbUZqFrd1/SGr+uNthXr1JJpUkumtVoqrdcSabuRSCZ83ehqU1I9XRGQRK0MoDw5d5599yNf3j1cXB1aGhp79mt3vvXT53fvO9PdftMLz4bf8+Dn74p32u+GzKRcgtSGfQrAYy+XNLzE2GSxmXfnPsj7WIMkNw9G7fnuuSINyBFsEptbAaxC5rPZA0ni/gDAn04eny5vPd/UyVkLV2coTgNIm64zmKuWD1ues48yPq6wMK2FATc8j8edlpKpVchgqYhMowbTdUCxWWjSMUzeiCdYNZUN6vGkCDWdCAJDYUwxPQ+W50D3/Y7he1XD90qW66zbTmdN5axbgLM39093Wt+qxZs9NqVE/b2CRHOQP76wYzdpxFN48M77QDnHj3zmz1ColH508vj0n73S+9RHHy+GPpnp43WPqZOzvw3gxdKlO5DkZQayPMAVlbOnTs7mAfwUgJ+A/OIGpLnpQwA+sk223zSk+ei5/YWRAAAgAElEQVSHIb/Wz0MSmE9OH568sGVfCzKTcFdY3gFJkp6C1AI8Dfll/xOQQuHjAH5v+vDkCy9/BK7E1MlZHZsJ9baafbrziWj3NqT2p5szxEFUg8jwXCPeaSVtp5OzXCdrem7Schyt6/Qcc9o83m4FsU5b2G6HWK6jKZxf9hnhhPihojYEIVVByAblfE0Nw1UK0RWUvVqh3QD+D8gEhscB/N+Tx6evSOkwe2wqB+DdkKaot0b9/itIYvPEq0FsovMUIO9XV3NzQzQ+DwF4cCObf+yjP/IzK6GmpQGkx5cXJsdXF99quc53UcH3O4YlXNOEq5u0ks6ulzO5smeYGjZJy9bghTYkedraqpbT8cbWlvIj6ysThcrGvkSrOWr4Xsf0XNfutNOG57YVmVQwgDRXTkCmy+gtvOpCapDWcGVuGA5J8LeaxtI9fevV4m2X8LB3OgNgZ6CqCFQNlut01Urjk8enX2keoz76eFH0yUwfr3tM/f/t3XmcW3W9//FXMsnMdDrTBQp0AVsgVMBhqQjIKlvZ+cpaghck/PSiiIBXvCqCsnmFq6ICsiiKuQgSUMF+ZZO1LFKBFhGGPbJ3oCyl7UyXWZL8/vicMGmYmc50kkkzfT8fjzw6k+Sc85005+Sd79qSvhQ4vZeHctiyBE8XdxyNt6Q3wgLJV7EpBqBnsreLgfMKQ0zQHHQwFmAOxWoXUliImZ/ff9CPZFd6mo12xj5UHsc+DB8EHsU+dE7DJplbCPwSuDbVHPuoU30ff2uInpl388FkU6xGID8z7nr0NKPlA0p+ccAI1rkzvw5SXn55gMHclhW+rkGNReFswQPpsDqBVZs9VtKz0vVbWOh7k4+HnwxWw3VQ8DovoCfYPN5fn6CgdqzXmpHebjWZ7g0i3d0TgfHdNZH6TCSyStNPKJddniP0IaHQ4nAm0zamfWnt+os/WG/9Dz+YMmrliuiolSuIdHcvamtsum1+8w43tzc2LaQnsCwpDsv9CZql9sbC3L5Yf5wV2HusFgvH99GzNMeeWE1fTfC6tQfPLWx6XEjPKvCvYrMlfxA8N4u9n4pnfi6eDbq/pXH2jCVTDw/0bxRZEwozUvXiLekDsXWBir2eao5NK3jeZOBILJDsRDBLO/AI1rzTBZyQao7NDZ4fxvpW/AfW7BTF1vy5Abgv1RzrjrekG7Hwshf2obpjsN/H6Akvc1PNsWXB/g7Bgtd+WM3MZVifmkwQVCZhHz6fpCegTME+MNbDPoDyfUnyNRHFI2iWYB9cCxlYKFk0mA/UUgoCUCMfDzl7YE04G2Afsu9izVUTcjAhVPDhmQmFV3RHIt1dkWi0s7a2fkVdfdeyhsbFS5rGLlk8ZmxHW+OY2rbGpvq20U0N7Q2NjctHNdRla1YZvNZXzUivt+mvvBj9zNPztpr07tszxrQv3aUmm90cq/WYQ0+zVBor4x7YOlBHYp1zM1iwvRj461A7YqcT8Wn0hJsDgterEws2HwC3YR3VF2PTaewS3CYFjz+Lhcb2oLybYLVkU4Pfu7Fwkw86rxT9nA/fY7EgtVkvxdwmlky1DOXvFFkdhRmpevGWdARr6plW9NCh2HpER2G1MLtinVXrsar5n2MX7e8AvwP+K9Uca4+3pJuxwPMFrKbjb1gNjMeCxG70NBvZnCa24OEcLLz8A/sQyHd43SQ4vsOG776OVfc3YAGlKShT8bfbXFDeZfQElHewmorXsH4axcFk6eqGL1daUMu1+lqRXG7cDs/Mn77n4w9tOaZ96ajHt91p+YOf/VzN8lEN9XWdHRTM/9PRuKx9edOyts4xbUuzTcva6huXtTeMWrm8rr6zI1vb2ZmJdndFChaJJBsKtQEfhHK590I9TSX9jQhbFEumCkdwfiSdiH+Cnv42e2PvqQVYqJkT/Psq9l75LtbZdzRWC3UfcDnwQOGik2siCIYxLNgcEpSpiWAJKOxcuBGbuT2MnQ/5cLM99vrkR0w9FpQ5itX8bVb070bBYZfSE272pKdTeKFYLJnS9BxSVgozUvWCTruvsGpzRQ6rmZiIfXuMBI/fAFyFhYPfY7UfX8a+VR6H1cJsh13Mr8dGJM3AalJ2w/pPZLCL9wIslOT7K2xITw3KR/PH9GEF9m05H1DeCv6Gl7FpDV5KNcc6Bv9qlN+Aw0jft/qiXS6nn5qQcDaz5MA5d23+6ZYnD6nt6lzv/fUm/OGe3Wde+fwWW7+JNdP0GgLSifgULMgei31wv4IF00eDfa+uOWyV+Wfo+f9a3dD3Oqx2bUcsUGyMdQp+oOC2NXAOFiTCWGi9A2squzOWTC3u/dUfuCDcfArYHwvTn6anv877WNC6BgtUdaxac7ML9n5eiIWb/G1eLJlakU7ER2OhpjDgnEzv7/u9YsnUg0P9e0T6ozAjVS/eko5j3ziL5YfWvoSNLrkeq1k5BTgLeB6rodkR+0a7FKvtCNEzCqe4tqQLq5LvoKeTZS3WVJIPUx3BsRuw5pEHsFD0KvahtqCvD+DhEHQQHkoYKf7AygezXjux9vNYvs/IgF6LYBTNF7CO2esBlwCXxpKptgFsm68dm4V1wn4J619zE/Bsb8096UQ8TM+ondX1+8nfxtNTA5QfubWEnkUz80F3EdbE8zT23jko2D4/md0cbGV3X9wRek0Fr9922Gt4KPaerwmO+SJW83hFLJlaEAShTVm19mbb4G/6J6sGnDdiyVQunYjfg/XjKexTlAM+oQ7AUm4KM1L14i3pX2IrNvfmOexb5/qsOkojL4OFmA4sfOT7NSzGmndy9HRqDQWPvcWq86i8gX2DnYH1rdkM+5C8LNUce2LIf2CRYQ4jq7stGe4apGCiwROB72PNNT/GPoT7Xe28YPup2P/TLCzIPo8Fm5tjydRzQyxbDRZo+gs/07CmqPzkeb2tVZOhZ7TRIux9PA9rBiquFfrY8OkBljWKNUn9P6zZtLDp6Ams5vKmWDK1Mnh+I1Z7Uxhw1semFJiLhaPtig7TAUyKJVP9dmwXGSqFGal68Zb0BdgHW7Es1h+mHatqPwSraclhQaWWjzd5LMGaI4rDSv72TuEMvvGW9DTg68CXsI6XVwG/SjXH3u6nvLVYrU9/gWN8P49VdRgplXQiXoe97udgNWQXAb/Kf/gOcB+bYqFmFtYM00JPsHmx5IX++PFD2Lw2B2PBYmcsULdjITyM/T/VYv1furH3dWGTaobe+/n0Nxv00l7mjxkNnIRN4jcDC/E5rDn1PmzagEdiyVRXQdlj9ISbkyiekM/sEUumHlmDl0dkwBRmpOrFW9InANf18lAW+2ZY/OHfjTUnvYB11v071qH2zb5m6i06Xi3WLPA1rC/Nv7G+GM9hTQarqxlpKNrlSoYWRgb84T0SpRPxUdgQ++9izYA/BK4dbIfadCIeo6fGZnusCSgfbF4uaaH7LkMYCzd70TP8enTw8DtBmfKj7Lqw9+48rNlsFP3XCOXnFgI7B1bX92cU9v7+LNaJPV8z+TzWBPYX4J/5mZLTifiLQG8Lu24fS6b+taavichAVGWY6erqmoQNLRThzH+/ddq73ZlEf8+pC4Wem1gbvXPrhvr5+4xrfLW1s6uhtaOraVF3pqktk2lals02rczkmjpy2abObK6pO5dr7MrRlMnlmjLkmjL285hMsNhe4b6DlafbwqFQe02IthpCbZEQbZFQqC0aCrVFw6G2ulCorT4cbm+oCbc11YTbxkcibROjkbap9bXtE2ujFes/M5J0vvl6/fvX/urYrtYFJxIOL6vbdPNrNvjaGbfXNDZlVr/1qpbcPnvqssf/sV/3++/OzHV2bhGqq3shssGG9zTuuuc9Y2YeuKAc5e9NdsXy8OK/3jp9+VNPHpBZtGgmmW677oXDi0J19S8D4VzHyulks42hUQ1PRjfc6MHRu+z24Jh9D2gt3lf3++9FV7784tiutxeMz3z44dhM29Jx2eXLx+U6Vo7LdXaOy3V1jst1d9stkxlHJjOOXK7wi0AmuBWuZ5alpmZheFTD89n2tp1YddkMAMYecczh4w52b5b6tZHqFI1GnyzHfqs1zJwHnFvpcsja4dK3FjJvWe+VE2NqwkyI1NCRg+XZLMszWTqK3vOREIwOh2moCdMQDm414Y/uA3hjZScvruggBOzQNIo9xzQypa6WUeEwteHeujxIpWRXrGDpvXex9J47qWkaw9jDjmD0TrsQCodXv3Evut5ewLInHmP5vMfoeruV2qmb0rDjzozeYSciEzYocen7l1nWztI7b6N97iNkly6BcBiyWWo2nEjNqFFkFn9IZsliolM2YdR2M2jYfgdqp05b478929lJtr2d7LI2Mu3tZNvbyLS10bXgLTpee4Xuhe+Q6+i/YnDcsf/B2P0OXKPjy8gTjUbLcsGs1jCjmhn5yOnpN8/6MJM9urfHNopGkrU9NSNtDeFwW2Mk3D4+UtO2UTTatml9bVtvNSPduRy/X7hom/nty7+wJJPdpzYUem1afe2NX9po/Tsn10Wrso/JumbFcy1Ni2687oTuhe98IRSJvlM3/ZNXb3DKGfeF6+rW+KK3ePafN1s27/GZmQ/e2z/X1TUtVFffEtlwo3uaPrfPvU2f2+edUpa/P7nubj64/nczVjzz1Kzs0qX7Eg63Ea5ZTHfXRCBKTc37QJhMZgI1NR/UjB33YN20zeaMO2rWvOiGE0taE7hs/hPj2+6/e7eOl144v7fHI5OnXDHl/IuvLeUxpXqpZkakD/GW9BexzonFFqeaY+MHua9arM/E6djIDY8t+DhnbZ+MTnoXrLX0bWzE20tYra4fyuy7BR13Z2Hz2MSwET03A38azqHI6UR8ItYR+qtYH5l7sRF3W2KdcyPYCKUmrJ/N37CZrO/obSHMIZRjMasuKpq3eyyZ+nupjiPSG4UZqXrBjL3PFN2dA2anmmNHDHAfG2EfBl/FOj7+Frgi1Rx7pZRllcoJ1jX6LvZ//DQ2Au5vJVhSIL+Kdj7YbIZ1zL0J+HMsmfpY/5VySCfiEWzE3qnATKxz+zVYsNkV60z8WawDcQYLOU9jE0neMtRZetOJ+P/DzptCzwAz8p2ERcpFYUZGhHhL+hLgDCBbA9GMzc3xmVRz7NXVbLcDVgsTxya1uwy4LtUcay93maUyggn0zsZqMx4HzoklUw+UaN8hbIh3frj3VOBhrMbmz7FkaliaotKJ+HQstJ2EBZffAr/CRkTtgo2UOgybITgU3N4F7sYmmJy7JquQpxPxLxIKnUfD6E1ZueKPZDJfjiVTS0vxN4n0R2FGRoRgkcbDa2HP/UZFv/F2JrvFd6Zvmu7juRHgCCz87IYtUnkZcHeqOTboC7hUp2COme9jE/A9CHy/lM0hQbDZkZ5gMyU4zs1YTci7pTpWP2VowIL6qdjcMXcCVwJ3xZKpTDAR3q7Ysg8HYquwg82Z9C+sdunXA5llOa+1tXUMNl/T2MmTJyvIyLBQmJERpb8LabwlvT7wn9iFfTyQBC5PNcfKPjmarL2CWoxzsbW57sZCTUlnbg7mj9mJnmAzCVvm4ibg1lgy9X4pj9fL8fPB6mtYuHkbq4G5NpZMvVfwvDFYU9UXsSap/KzZC4GHsGarB/padBPg1Z/8aHp0/4NfzL7/7oRP7Lt/yfrkiPRHYUZGjHhLer86+NwhDdFzFmZy007bYtrrwf3bYE1Jx2MX8cuBa1PNsSUVLK6sZdKJ+KewdZ+OAv4K/KAck70FwWYXLNQcgy3oeB9WY3NrLJlaVOpjFh1/faz56RRsEcybsNqax3qZFXhS8LwjsA7FEazZ6iVs4rw/Av8Kannqg98PDTZfDOwXS6bml/PvEQGFGRkh4i3pc4EfAJ01UJ+xvgHfwwLMPsD92Kik2wuXIxAplk7EtwcuwD6U/wycO9Q1m/o5VhjYHQs2R2Ojke7Bgs3scq5pFBx7f6y25lDgKSzU3NjbOlfB8/cDvoLNULxe8FAH1veoFluOodAybG2mATdTiawJhRmpevGW9FbYUgLFMsC1WFNS8WgnkX6lE/GdsFCzP/AH4PxyLmsQLFK5BzYi6iisiedvWLDxsWSqbDWJ6UR8GnAy8GUslCSBq/pbnyqdiG+BNc3FsVqbviZDOzyWTM0uZXlFiinMSNWLt6Q/j1VvR4seej7VHNu6AkWSESSdiO8OXIgFjeuAC2LJ1GtlPmYEW8l6FhZsmoC76Ak2ZanpCBbvPAqrrdkNa/66Mjhmn/1k0on4BKw2tKaXh0+OJVPXlKG4Ih9RmJGqF29JzwCKZ5XsBu5MNcdcBYokI1A6Ed8HCzU7Ab8B/mc4JsdLJ+JRYG8s2ByJLVR6BxZsboslU2WZRiCdiG+HhZrjgQ+BXwPXxJKpXleETyfiL2OTBxabPlwLdcq6a1BhxjlXB1yBTb40AXgD+JH3/obg8WbsJN8WeAU4xXv/cKkLLVIoGJb9G2wERrgGwhlrq98x1Rx7vrKlk5EkGBV0INb8tA02d8tFwzh/TBS7/h6LdcqtBW7Hgs0dvfV1KcExx2Ln1tewsHIrVlvzYGGH4XQi/mlsor58DWkOa6o6tdRlEik22DAzGvgO1p76GjY/we3YyT0PeBE7uX+B9dK/DNjce1+2Tmwi8FGgSURhj93rIyct6M5ue8GWm6mfjJRFEGocFmq2wL7k/bhwmPMwlKEWm+l3FnA4NtLoNizY3BlLppaX+HghrOPv17Ag9RIWan6f78+TTsR3JBz+UXjjT+yXXfj2hXR0nDvUGZZFBmLIzUzOuTuwdtWngd8Dk7332eCx+cCV3vviKa5FykITdslwCkb4HA2cjw1zvhS4pJyjkPooRz3WUXkW8HmsM67Hgs1dsWSq/6WtB3+8KVhn4ZOx9Ziux9Z7SgLrE4nU0t2dBU6JJVO/LuWxRXozpDAT1NS8CpwAbA0c7L2fWfD4b4Gl3vv/GmpBRQZCYUYqIRiJdBw2+d4GwCXApZWYyj+diI8CDsCaog4DsliwuQm4O5ZMlWzV96DZy2G1NftgTUuFo5oywCeGa30qWXetcZhxzoWwk6MBO2HOAbbz3h9d8JxLgLHe+y+XoKwfaW1trQPqSrlPGTGasIX1NgY0t4UMq8zrr9V0/P63x7Fi+XfI5Zqoq/9FdJ+Zv47usXdJm3wGquvRh0d1P3jfzNzyZUeQyRwIdBOJ3B4a3XhL1B35QGSr5q5SHWv59775IjCx+P7Q+hMOHnXm97RqtgBQri+ZkTXZKAgyV2Nrjezvvc8559qBMUVPHUt5PlDOwr4BifSl7KNMRIrVTJ1GwzkXkuvupnveY3TPuef8roceOJ9QmMjOuxCK1g5reaK77kF01z0AyHV2kHnheTLPPHVc5sXnjuv8441kPrUNkW22I7z5dEI1vY2qHrjwJ6aSffMNKPqCXHfif94xpB3LSNPXfERDMugwEwSZK7BFy/bz3ud7z7cA33bOhfN9ZoDtgatKUtJVXQT8rAz7leqnmhmpuFAkQvSzuxEKh+s777rtpK47Zp/ZdcfsbkY1/LT280ddF9l2Ruewl6m2jsi22xPZdnu65tw7uuvRhw/KPDX/iMz8x2cCy4lE/hpqGnNL7azjH6qZOm3Qs2TnVqzYkVzuTiCMzTeTIRK5Ljxhg2+U+m8RKTboZibn3BXYuiL7Fo5Scs5F6endfhk28dIvgZj3vqxrjYjkqc+MrI3SifhobIHTb2PTBlwI/F8smSpZM8+aChaXPAzrPHwgsBTrzHszNvy6z8nyetnXdkQip9Vsvc2XMukXz2D58ss1mkmGw2CHZk/FhmR3YJOS5f3Ie/8j59w2fHyemYdKV1yR/inMyNosCA6nA98C3sdGQf0hlkytFeuFBXPKfB4LNvtjk+X9GQs2Dw+knDoHpRI0A7CMKLqQSjVIJ+LjgW8C38CaRc8D/hhLprL9bTecgjJ+HhsVtR8Wvv6EBZu/91VWnYNSCQozMqLoQirVJFjT6L+B04CXsYENs9e2ppl0Ir4+NjHfLGwG4oX0BJu5+WCTTsR3pabmzPBmsSOzb75+DitXXry21DrJyKYwIyOKwoxUo3QiPhH4LvBVbDDFD7BZfNe6C3QQwI7Egs3eQCu20Gsa6y8ZxkasdGFh54S18e+QkUVhRkYUhRmpZulEfGPge9jsuvOA7wP3r61hIJ2Ib4gFm2OxpQ56s1UsmXph2Aol6ySFGRlRFGZkJEgn4tOwIHMi8Ajw/VgytVYv2ptOxN/EpkQotlcsmXpwuMsj65ZwpQsgIiKriiVTr8WSqS8BWwFvAg+mE/G704n4zhUuWn+ewJqWCnUBqpWRslOYERFZS8WSqZdjydQJQDOwGJibTsT/mk7EZ1S4aL05FQteXUQiYOsynRRLphZWtFSyTlAzk4woamaSkSydiG+HzU3jsIntzo0lU89WtlQ90ol4Y6hpzBHR/Q++rvvxuTtuduH/zqt0mWTdoDAjI4rCjKwL0on4jsAF2OrYKeC8WDL1UmVLZXQOSiWomUlEpMrEkqknYsnUQcAewEbA8+lE/HfpRHzTChdNpCIUZkREqlQsmfp7LJnaF5uhdwvgpXQi/qt0Ir5JhYsmMqwUZkREqlwsmXoAq6U5FJgBpNOJ+OXpRHxSZUsmMjyqss9MV1fXJEAnqXxMd3f36La2toeampr2jEQiyypdHpHhluvu5r2rL99z5fPPnpLr6pwambDBzeOPOS7ZMOMzi4fj+DoHpT/RaPTJcuy3WsPMedgaJiIi0otcNsvyf85jyexb6F70Pk377M+YAw6mZnRjpYsm67BoNBoqx36rNcyoZkZ6pW+FIqvKrlgefu/KSw9YmX75K2S6x0cnTrphveNP+kP99C3by3E8nYPSH9XMiAyAhoWK9C6diEeAE7BFLMcCPwEujyVTJQ01OgelEhRmZETRhVSkf+lEvBY4CVv7qRa4GLgqlkytKMX+dQ5KJSjMyIiiC6nIwKQT8XrgZGyV7izwI+CaWDLVMZT96hyUSlCYkRFFF1KRwUkn4g3YukrfAZYDFwLJWDJVvGjkgOgclEpQmJERRRdSkTWTTsSbgNOBbwGLsOUSboglU92D2Y/OQakEhRkZUXQhFRmadCI+Dvgm8A2gFTgPuDmWTGUHsr3OQakEhRkZUXQhFSmNdCK+PvDfwGnAK9jcXrfGkql+PzR0DkolaDkDERH5mFgy9UEsmfousBlwD/AHYH46ET8knYiXZeIzkTWlMCMiIn2KJVMLY8nUN4HNgbnArcDcdCI+U6FG1hYKMyIislqxZGpBLJk6FVuduwW4E5iTTsT3zD8nnYiHVl579dTs2610Pz63vlJllXXPoPrMOOe+DiSAbYBbvffxgsdeAzYCMsFdr3vvP1WykooMgNrrRYZHOhGPYbMJ/wdwP/BDbCTUocFTFgEHx5KpxypTQlmXRAb5/FbsDbsfMKGXx4/w3t815FKJiMhaLZZMpYEvphPxi7ART3OwyffyxgN3pBPxTWPJlL5YSFkNqpnJe3+L9/4vwPtlKo+IiFSRWDL1fCyZOhZYwKqfKSFgPawmX6SsBlszszr/55wLA88CZ3vv/17i/YuIyNppCTCll/tLsuaTSH9KGWaOB+YHPyeAO51z23jvXy/hMQBobW2tA+pKvV8ZEZry/7a2tla0ICLrlIbRV7J82WX01M50EQq11J182qtBXzYRytWXsWRhxnv/SMGvVznn4sBBwNWlOkaBs7AJnET68lalCyCyLhl19gV0Pz6X7jn3kuvspGazzaO1R8yaEWoYvajSZZO1SlmG85e6malQljIVGrgI+FmZ9i3VrQkLMhsDbRUui8g6IxQKEd15V6I776pzUIbdoMKMcy4SbBMBws65emwo9iRgKpAfgncisCPw5dIVtcfkyZM7gCEtUy8jU0HTUpuGZosMP52DUgmDnTTvHKwz19nAMcHP1wCNwOXYvALvYGHmUO/9v0tXVBEREZGP00KTMqJo0jyRytI5KJWg5QxERESkqinMiIiISFVTmBEREZGqpjAjIiIiVU1hRkRERKqawoyIiIhUNYUZERERqWoKMyIiIlLVFGZERESkqinMiIiISFVTmBEREZGqNqhVs9cWXV1dk7CVukVWMX78+NFtbW00NTVt19XVtazS5RFZ1+gclP5Eo9Eny7Hfqlxosqur6zzg3EqXQ0RERAYuGo2GyrHfag0zqpmRXnV3d49ua2t7qKmpac9IJKJvhSLDTOeg9Ec1MyID0NraOgZYAoydPHny0kqXR2Rdo3NQKkEdgEVERKSqKcyIiIhIVVOYERERkaqmMCMiIiJVTWFGREREqprCjIiIiFQ1hRkRERGpagozIiIiUtUGvTaTc+7rQALYBrjVex8veKwZ+A2wLfAKcIr3/uHSFFVERETk49akZqYV+CFwTeGdzrko4IFbgfHAxcBs59z4oRZSREREpC+DDjPe+1u8938B3i96aC+gAfiJ977De3898Cpw5JBLKSIiItKHUvaZaQae8d5nC+57KrhfREREpCwG3WemH43Y4mKFFgNjS3gMAFpbW+uAulLvV0aEpvy/ra2tFS2IyDpK56D0qVyLj5YyzLQDY4ruGwu0lfAYeWcB55ZhvzJyvFXpAois43QOSm9C5dhpKcNMC/Bt51y4oKlpe+CqEh4j7yLgZ2XYr1S/JuwiujHlCdIi0j+dgzLsQrlcblAbOOciWAg6B5gOfBHIBA+/BFwJXAYcBfwSiHnvF5WqwCL9aW1tHYM1d44tV3WmiPRN56BUwpp0AD4HWAGcDRwT/HyN974LcMDRWF+Zs4HDFWRERESknAZdMyOyNtO3QpHK0jkolaDlDERERKSqKcyIiIhIVVOYERERkaqmMCMiIiJVTWFGREREqprCjIiIiFQ1hRkRERGpagozIiIiUtUUZkRERKSqKcyIiIhIVVOYERERkaoWqXQB1kRXV9ckYFKlyyFrn/Hjx49ua2ujqalpu8uSEfgAAAgRSURBVK6urmWVLo/IukbnoPQnGo0+WY79aqFJERERqWpqZhIREZGqpjAjIiIiVU1hRkRERKqawoyIiIhUNYUZERERqWoKMyIiIlLVFGZERESkqinMiIiISFVTmBEREZGqpjAjIiIiVU1hRkRERKqawoyIiIhUNYUZERERqWoKMyIiIlLVFGZERESkqinMiIiISFVTmBEREZGqpjAjIiIiVU1hRkRERKpapNIFECkl51wO2Mp7/0KlyyIi5eOc2wNIeu83H8BzpwGvAqO89yvLXTYZfgozMmycc78ATgReAI723i8I7t8d+Kb3/sjVbP9J4CJgH+y9+zRwgff+rrIWXKRMhnpODPJYNwO3eu9vLLo/AfwWWBHctRj4jff+vKLnRYFW4DXv/Y6lKlcfZU0AX/Xef7bo/n8AV3vvk977h4HVBhlZN6iZSYaFc24n4CBgE+Ah4Kzg/ijwU+CM1Wy/KfAo9u1qC2Aj4NfAn5xzR5Sv5CLlMdRzYpDHigL7An0F/ye8943e+0bgc8B/OueOLnrOoUAU+LRzrrnEZasazrka55w+O9cyqpmR4bIpMN973+6cu5+eC/WZwM3e+zdXs/35wfZnFtyXdM5NAX7unPuL9z4X3D/TOXcbsB7wZ+Dr3vsOAOfcgcD/YN/oXgHOCL7h4Zw7ETgX2AD4ADjfe/+74LETgO8CU4BnsG+Nz67piyHCEM4J51wtVoMy3Xv/lnPuq8BVQMx7/+/g/fpF7/3MYJM9gGe99x+urlDB9n8Hti566CTgBmDL4Oczi7ctKN904EpgB+Bd4CLvfTJ47DxgW2ApcDhwcXAbFOfcXkDKez8x+H1brIZpS+BB4C2g3nufKNjsGOfcBcA4rInqvwr21+c57px7DbgaOBbYCpgGvDPYMkv5KF3KcHkW+IxzbgywN/Bs0I7tgMsGsP1MINXL/TcCU4HpBffFgV2xi9r2wPcAnHPbYRfjM7Cg833gL865Cc650cDlwEHe+yZgZ2BesN1hwIXAccD6wPXAX4MPFJE1tcbnhPe+E5gL7BXctRcWzvcu+H1OwSaHArcNpFBBENkN+EfBfRthtUg3YO//4/uqUQnuvw2rSd0Ia0b7hXPucwVPOwyrJVoPuHQg5VpNmaPAbOBPwT5/Bhzfy1P3AZqxkHWSc26fYPuBnOPHA0cBY4D3hlpmKS3VzMiw8N63OOeuAh7G+gecAvwO+CZwlHPua9g3zVO992/1sosJWHt9sbcLHn8x+Pli7/27AM65HwKXYDUuX8H6AjwSPO9259xTwMFYDU4WaHbOveG9XwgsDJ53CvC/3vung99/5Zz7NvBZrHlAZNBKcE7MwULL9VjNyw+wMPOb4P5rC557KFYL0pfPOOcWAzVAI/BH4L6Cx08A3vDeP+qcewa4AjtvZveyr52xQHG+9z4D/MM5lwz28WDwnPne+/yXkxUf38UqZSrU2MdzdwEagJ9477PA/c653prUzvfeLwNecc49BHwauJ+BneO/9N6/0sfxpcIUZmTYeO9/DvwcwDl3FLAAeAm7cH4K+0b6U6xmpdj7wORe7p9U8HjeGwU/v45VG4NVDe/lnPtKweNR4B7v/TLn3CzgW8Bvg46G3/LetwTb/cQ5d1HBdrUF+xVZI0M8J+ZgTa2fxGoKbgXOc85tAkwEHg/2GwMi3vvn+inKvHxn26AW5g/BcfPNMAmsVgbvfZtzbjbW1NRbmJkCvBkEmbzXgAMKfn+D1fuoTHnBedmbyUBrEGTy3gTGFz2vsGloOT3haBqrP8cHUmapEIUZGXbOuUass+N+wCexC99S59wTBE1CvbgXmMWq3zbB2rDfwD4A8j4B/Kvg5wXBz28APy4epZHnvb8buNs5V4/10fkdsGPBdskB/okig7KG58RjWJg/AZjjvV/knFsEnAw86r3vCp53GHD7QMvivV/onLsFq63Id1T+FDDFOXdy8LQGYJRzbsN8LWiBBcDGzrmagkAzjZ7zEKwWtJRagcnOuXBBoNkEaB/g9gM5x0tdZikhhRmphAuBS7z3i51zbwCfdM5NxKrI+6rGPQ+Y55z7MfBj7FvVUdiF/qSCzr8A3y74Bnc21q8GbPTTbc65e7H2/DqsGvlloAurHr8Pq/ZeDuQvxFcB/+uc+yc2HHx0UNY53vu2NX4VRHoM+pzw3nc65+YCp2H9UsBqa07HzpG8Q4t+75dzbn3gCKAluOskrKnl2IKnhbA+O8dj/VMKPYY1j50VnK/bB+Ur2TDzXszFztsznXM/B3YHDsT60AyEzvEqpw7AMqycc9sDW+bnuvDev42NZGjBLsJn9bad9/7fWKfe6cC/sWr1U4FjvffFF6ybsYvbS8F+/yfYx5PYRfWn2Gil17ERGeHgdib2DW8R9g355GC72VhNzf9hF+mXsW/DIkO2pudE4AGgiZ5+HQ9gHVTnBPseA8xg1c7AvdnROdfunGsHnsfOr9ODWso41l/knYLb21gAOKl4R0GN0GFYZ9t3sT493/LeP7CaMqyx4JiHY4FrMfDfwE1AxwC31zle5UK5XG71zxIRkarjnDsG+IL3fp2biyno1/OE9/6HlS6LlJ+amURERq4lWE3kiOec2xOrtX0HOARrZuqvVktGEIUZEZERKujUvq7YAmtaGoM1IZ+4mhFcMoKomUlERESqmjoAi4iISFVTmBEREZGqpjAjIiIiVU1hRkRERKqawoyIiIhUNYUZERERqWoKMyIiIlLVFGZERESkqinMiIiISFX7/05rOJgKmmGrAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (-9223363286618014513)>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g = (ggplot(df,aes(x='Names',y='Value',color='Color',group='State')) +\n",
    "     geom_point() + geom_line() + theme_minimal() +\n",
    "     xlab('') + ylab('') + guides(color=False) +\n",
    "     scale_y_continuous(limits=(10,60), breaks=range(10,60,5))\n",
    "    )\n",
    "g"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Lollipop\n",
    "Lollipop charts draw more attention to the data value than standard bar/column and can also show rank effectively"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Region</th>\n",
       "      <th>Sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>West</td>\n",
       "      <td>725457.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>East</td>\n",
       "      <td>678781.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Central</td>\n",
       "      <td>501239.89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>South</td>\n",
       "      <td>391721.90</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Region      Sales\n",
       "3     West  725457.82\n",
       "2     East  678781.24\n",
       "1  Central  501239.89\n",
       "0    South  391721.90"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('data/ordered-bar.csv')\n",
    "df = df.sort_values('Sales',ascending=False)\n",
    "ordered_cats = df['Region']\n",
    "df['Region'] = pd.Categorical(df['Region'], categories=ordered_cats, ordered=True)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "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: (-9223363286624914649)>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g = (ggplot(df,aes(x='Region',y='Sales')) +\n",
    "     geom_col(width=0.1) + geom_point(size=5) + \n",
    "     coord_flip() +\n",
    "     scale_y_continuous(limits=(0,900000),breaks=range(0,900000,100000),labels=utils.k_format())\n",
    "    )\n",
    "g"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Bump\n",
    "\n",
    "Effective for showing changing rankings across multiple dates. For large datasets, consider grouping lines using colour."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Year</th>\n",
       "      <th>Country</th>\n",
       "      <th>Ranking</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1998</td>\n",
       "      <td>United States</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1999</td>\n",
       "      <td>United States</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2000</td>\n",
       "      <td>United States</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2001</td>\n",
       "      <td>United States</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2002</td>\n",
       "      <td>United States</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Year        Country  Ranking\n",
       "0  1998  United States        1\n",
       "1  1999  United States        1\n",
       "2  2000  United States        1\n",
       "3  2001  United States        1\n",
       "4  2002  United States        1"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('data/bump.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "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: (-9223363286625093828)>"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g = (ggplot(df,aes(x='Year',y='Ranking',group='Country',color='Country')) +\n",
    "     geom_point() + geom_line() +\n",
    "     scale_x_continuous(breaks=range(1988,2012))\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
}