AstroViz.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import altair as alt\n",
    "import matplotlib.cm as cm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "alt.renderers.enable('notebook')\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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>planet</th>\n",
       "      <th>mass</th>\n",
       "      <th>diameter</th>\n",
       "      <th>density</th>\n",
       "      <th>gravity</th>\n",
       "      <th>escape_velocity</th>\n",
       "      <th>rotation_period</th>\n",
       "      <th>length_of_day</th>\n",
       "      <th>distance_from_sun</th>\n",
       "      <th>perihelion</th>\n",
       "      <th>...</th>\n",
       "      <th>orbital_period</th>\n",
       "      <th>orbital_velocity</th>\n",
       "      <th>orbital_inclination</th>\n",
       "      <th>orbital_eccentricity</th>\n",
       "      <th>obliquity_to_orbit</th>\n",
       "      <th>mean_temperature</th>\n",
       "      <th>surface_pressure</th>\n",
       "      <th>number_of_moons</th>\n",
       "      <th>has_ring_system</th>\n",
       "      <th>has_global_magnetic_field</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Mercury</td>\n",
       "      <td>0.330</td>\n",
       "      <td>4879</td>\n",
       "      <td>5427</td>\n",
       "      <td>3.7</td>\n",
       "      <td>4.3</td>\n",
       "      <td>1407.6</td>\n",
       "      <td>4222.6</td>\n",
       "      <td>57.9</td>\n",
       "      <td>46.0</td>\n",
       "      <td>...</td>\n",
       "      <td>88.0</td>\n",
       "      <td>47.4</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.205</td>\n",
       "      <td>0.034</td>\n",
       "      <td>167</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Venus</td>\n",
       "      <td>4.870</td>\n",
       "      <td>12104</td>\n",
       "      <td>5243</td>\n",
       "      <td>8.9</td>\n",
       "      <td>10.4</td>\n",
       "      <td>-5832.5</td>\n",
       "      <td>2802.0</td>\n",
       "      <td>108.2</td>\n",
       "      <td>107.5</td>\n",
       "      <td>...</td>\n",
       "      <td>224.7</td>\n",
       "      <td>35.0</td>\n",
       "      <td>3.4</td>\n",
       "      <td>0.007</td>\n",
       "      <td>177.400</td>\n",
       "      <td>464</td>\n",
       "      <td>92</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Earth</td>\n",
       "      <td>5.970</td>\n",
       "      <td>12756</td>\n",
       "      <td>5514</td>\n",
       "      <td>9.8</td>\n",
       "      <td>11.2</td>\n",
       "      <td>23.9</td>\n",
       "      <td>24.0</td>\n",
       "      <td>149.6</td>\n",
       "      <td>147.1</td>\n",
       "      <td>...</td>\n",
       "      <td>365.2</td>\n",
       "      <td>29.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.017</td>\n",
       "      <td>23.400</td>\n",
       "      <td>15</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Mars</td>\n",
       "      <td>0.642</td>\n",
       "      <td>6792</td>\n",
       "      <td>3933</td>\n",
       "      <td>3.7</td>\n",
       "      <td>5.0</td>\n",
       "      <td>24.6</td>\n",
       "      <td>24.7</td>\n",
       "      <td>227.9</td>\n",
       "      <td>206.6</td>\n",
       "      <td>...</td>\n",
       "      <td>687.0</td>\n",
       "      <td>24.1</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.094</td>\n",
       "      <td>25.200</td>\n",
       "      <td>-65</td>\n",
       "      <td>0.01</td>\n",
       "      <td>2</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Jupiter</td>\n",
       "      <td>1898.000</td>\n",
       "      <td>142984</td>\n",
       "      <td>1326</td>\n",
       "      <td>23.1</td>\n",
       "      <td>59.5</td>\n",
       "      <td>9.9</td>\n",
       "      <td>9.9</td>\n",
       "      <td>778.6</td>\n",
       "      <td>740.5</td>\n",
       "      <td>...</td>\n",
       "      <td>4331.0</td>\n",
       "      <td>13.1</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.049</td>\n",
       "      <td>3.100</td>\n",
       "      <td>-110</td>\n",
       "      <td>Unknown*</td>\n",
       "      <td>79</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    planet      mass  diameter  density  gravity  escape_velocity  \\\n",
       "0  Mercury     0.330      4879     5427      3.7              4.3   \n",
       "1    Venus     4.870     12104     5243      8.9             10.4   \n",
       "2    Earth     5.970     12756     5514      9.8             11.2   \n",
       "3     Mars     0.642      6792     3933      3.7              5.0   \n",
       "4  Jupiter  1898.000    142984     1326     23.1             59.5   \n",
       "\n",
       "   rotation_period  length_of_day  distance_from_sun  perihelion  ...  \\\n",
       "0           1407.6         4222.6               57.9        46.0  ...   \n",
       "1          -5832.5         2802.0              108.2       107.5  ...   \n",
       "2             23.9           24.0              149.6       147.1  ...   \n",
       "3             24.6           24.7              227.9       206.6  ...   \n",
       "4              9.9            9.9              778.6       740.5  ...   \n",
       "\n",
       "   orbital_period  orbital_velocity  orbital_inclination  \\\n",
       "0            88.0              47.4                  7.0   \n",
       "1           224.7              35.0                  3.4   \n",
       "2           365.2              29.8                  0.0   \n",
       "3           687.0              24.1                  1.9   \n",
       "4          4331.0              13.1                  1.3   \n",
       "\n",
       "   orbital_eccentricity  obliquity_to_orbit  mean_temperature  \\\n",
       "0                 0.205               0.034               167   \n",
       "1                 0.007             177.400               464   \n",
       "2                 0.017              23.400                15   \n",
       "3                 0.094              25.200               -65   \n",
       "4                 0.049               3.100              -110   \n",
       "\n",
       "   surface_pressure number_of_moons  has_ring_system has_global_magnetic_field  \n",
       "0                 0               0               No                       Yes  \n",
       "1                92               0               No                        No  \n",
       "2                 1               1               No                       Yes  \n",
       "3              0.01               2               No                        No  \n",
       "4          Unknown*              79              Yes                       Yes  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "planets_df = pd.read_csv('data/planets.csv')\n",
    "planets_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['planet', 'mass', 'diameter', 'density', 'gravity', 'escape_velocity',\n",
       "       'rotation_period', 'length_of_day', 'distance_from_sun', 'perihelion',\n",
       "       'aphelion', 'orbital_period', 'orbital_velocity', 'orbital_inclination',\n",
       "       'orbital_eccentricity', 'obliquity_to_orbit', 'mean_temperature',\n",
       "       'surface_pressure', 'number_of_moons', 'has_ring_system',\n",
       "       'has_global_magnetic_field'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "planets_df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "planets_subset_df = planets_df[['planet', 'mass', 'diameter', 'density', 'gravity', 'escape_velocity',\n",
    "                               'rotation_period', 'length_of_day', 'distance_from_sun', 'orbital_period', \n",
    "                               'orbital_velocity', 'orbital_eccentricity', 'mean_temperature','surface_pressure', \n",
    "                               'number_of_moons']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1254eb048>"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(12,10))\n",
    "ax.set_title('Analyzing Solar System Planets', y=1.05)\n",
    "sns.heatmap(ax=ax, data=planets_subset_df.corr())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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bT7JlZvGSSqS9uAE4VtLBwA4RcT/ZPH7fjYgD02fviLgs7b8hd+xmtow56DC9RUT8GvgAsB64SdIxZba3Uw5MZma1VZW0FxHxMnAbWdqLUkr1+cAnJe0EIGm8pN22c6qn6CC9haQ3Ak+kmctvIMuQWxXbDUySBkk6oloNMDMbULLRd9ukvShzVF7J1cA/pG8i4mbg18BfJS0hGySx83bO0Vl6iw8DS1MqjP3JkgFWRbfSXkhaGBGdJZXqF5z2wsx6yWkvKqy7t/JukfShUubDckn6QhqiuFTS1ZKGS5os6R5JzZKuyQ17HJbWm9P2SbnzfC2VP5J/uUzStFTWLOmsSrTZzMxqo7uB6Z+A3wAbJb0kaZ2kl3pToaTxwGeBxojYHxhMNoLkfODHEbE38CJwejrkdODFVP7jtB+Spqbj9gOmAT+TNFjSYLJ3BE4ApgKnpH3NzKwP6FZgioidI2JQRAyJiF3S+i5l1NsAjJDUQPbgbxVwDNn9T4ArgJPS8vS0Ttp+bOq5TQfmRsSGiHgSaCYbq38Y0BwRT0TERmBu2tfMzPqAbgUmZT4u6ZtpfaKkw3pTYUSsJHu49jRZQFpLNoZ+TUS0pt1WAOPT8njgmXRsa9p/13x5u2M6Kzczsz6gu7fyfga8HfhoWn+Z7HZZj0kaTdaDmUw2ZcaOZLfiak7SGZKaJDW1tLTUowlmZtZOdwPT2yLiTOA1gIh4ERjayzqPI3vjuCUiNgHXA/8IjEq39gAmACvT8kpgIkDaPhJ4IV/e7pjOyrcREbMjojEiGseNG9fLyzEzs0rqbmDalAYVBICkcUBbL+t8Gjhc0g7pWdGxwENkL4aVXuaaSfYCF8C8tE7afmtkY9znATPSqL3JZNNs3AvcB0xJo/yGkg2QmNfLtpqZ9QmSNqcJVkufHo1IlnRSfqBYfjLXWutu2osLgd8Bu0k6jyxAfLM3FUbEPZKuI5u3qZVsDqfZwO+BuZK+k8pK02ZcBvxSUjPZTLwz0nmWSbqWLKi1AmdGxGYASZ8he+N5MDAnIpb1pq1mZtXw1iveuk3aiyUzl5T7gu36NMFqj6W7UScBN5L9P7WuuvWCLYCkN5P1bgTcEhHLq9mwWvMLtmbWSz16vzMFpYvZMsN4aUqiM8sJTpJejoidOij/FvB+YARwF/BPERGSbgcWAe8g63h8kWxw2VqymcYvA+4B3gWMAk6PiDt7276e6O6ovF9GxMMRcXFEXBQRyyX9stqNMzPrhyqe9iIZ0e5W3kdS+UURcWh6b3QEcGLumKHpOft5ZI88vpwme308bW+IiMOAzwNnl9m+buvurbz98ivpedMhnexrZmadm0z2WCKvEmkvOruV9y5JXyHrmY0BlgH/lbZds51zXp++u5MWo2K67DGlKX/WAQfkZnxYBzzHlsEJZmbWfdVKe7ENScPJXvc5OSLeCvycXCoL4JXtnKKUGiOfFqPqugxMEfHdiNgZuCA348POEbFrRHytRm00M+tPqpL2ohOlIPR8Sn1xchf7rmP7M4/XRHeHi3+jUjM/mJkNZGmAwzZpLyowKq/9M6bvRcQasl7SUrKRyvd1cfxc4MuSFkp6U5ltKUt3015cQvbe0jER8ZY0e8PNEXFotRtYKx6VZ2a95LQXFdbde4Zvi4iDU+IoIuLFUloKMzOzSqrHzA9mZmad6m5gaj/zw5+Bf6taq8zMbMDq1q28iLhK0v1smfnhpP4284OZmRVDT8alPwvcyZYkfwdHxAPVaZaZmQ1U3QpMks4FTgMeJz1nSt/HVKdZZmY2UHW3x/Rh4E0pVbmZmRWMpACuioiPp/UGsnek7omIE7s8uGC6G5iWks0u+1wV22JmNiAsf/Nbtkl78ZaHl5f7gu0rwP6SRkTEeuDddJIktTOSGiKitcx2lK27o/K+CyyUNF/SvNKnmg0zM+uPUlC6GNiDbDLXPYCLU3m5bgLel5ZPAa4ubZB0mKS/ppkd7pK0byo/Lf0//VbgFkl7SLojzR6xVNKRFWhXj3S3x3QFcD6wBL+/ZGZWjo7SXpTKy+01zQW+JelG4ABgDlAKLA8DR0ZEq6TjyF75+VDadjBwQESslvRFYH5EnJfeX20/4WzVdTcwvRoRF1a1JWZmA0O10l4QEYslTSLrLd3UbvNI4ApJU8gGrw3JbVsQEaU23QfMkTQE+M+IWFRuu3qqu7fy7pT0XUlvl3Rw6VPVlpmZ9U/VTnsxD/gBudt4ybnAbSlh4PvpJP1FRNwBHEX2fOpySadWqF3d1t0e00Hp+/BcmYeLm5n13AVkz5hg69TqlUp7MQdYExFLJB2dKx/JlsEQp3V2sKS9gBUR8XNJw8hu811ZobZ1S3dnfnhXtRtiZjYQvOXh5X9c/ua3nEnlR+UBEBEryKaRa+/7ZLfy/i/w+y5OcTRZ+otNwMtAzXtM3Up7ASDpfWQp1l/v/kXEt6vUrppz2gsz6yWnvaiwbj1jknQp8BHgX8n+Ef4XsFcV22VmZgNUdwc/HBERpwIvRsQ5wNuBfarXLDMzG6i6G5jWp+9XJb0B2ET2UpiZmVlFdXdU3o2SRpGNGnmAbETef1StVWZmNmB1d1TeuWnxt+mN4uERsbZ6zTIzs4Gqy8Ak6ZiIuFXSBzvYRkRcX72mmZnZQLS9HtNRwK1kbwnnx5UrrTswmZkVhKSXI2KnXhz3abKp566UdBpwc0T8T8Ub2E3bC0zrJP0fsrQXwZbx+t17+cnMzLZx8adv3SbtxZmXHlORF2x7IyIuza2eRvb//G4Hpkqny9jeqLydgJ2BQ4B/JhuJ9wbg02TTVJiZWQ+koLRN2otUXjZJR6exAKX1i1IvCElPSfq+pCWS7pW0dyqfJelLkk4GGoGrUtqLEZIOkfQnSfen1Ed7pGNul/QTSU3A5yrR9pIuA1NEnJPeW5oAHBwRX4qIL5IFqj17W6mkUZKuk/SwpOVpctgxkhZIeix9j077StKFkpolLc5PHitpZtr/MUkzc+WHpB98czrWb2abWVF0lPZiQyqvhbUR8VbgIuAn+Q0RcR3QBHwsIg4EWoF/B06OiEPI5uE7L3fI0IhojIgfVrKB3X2PaXcgn1Z9YyrrrZ8Cf4yINwP/ACwHzgJuiYgpwC1pHeAEYEr6nAFcAiBpDHA28DbgMODsUjBL+3wqd1xF/hIxM6uAyWwJSiUVSXvRTVfnvt++nX33BfYHFkhaBPxfso5KyTWVb17332O6ErhX0u/S+knA5b2pUNJIskEVpwFExEZgo6TpZJMHQpaY8Hbgq8B04MrIJvW7O/W29kj7vp5DRNICYJqk24FdIuLuVH5lau8fetNeM7MKe5Ls9l0+OFUy7UUrW3c6hrfbHp0sd0TAsojoLIC90kl5WbrVY4qI84BPAC+mzyci4ru9rHMy0AL8IqX4/Q9JOwK7R8SqtM/f2dIjGw88kzt+RSrrqnxFB+XbkHSGpCZJTS0tLb28HDOzHrmALM1FKSdTpdNe/A2YKmlYmhjh2HbbP5L7/msHx68jG1sA8AgwTtLbASQNkbRfhdrZqe7eyiMiHoiIn6bPwjLqbCAbOHFJRBxEFnHPyu+QekdVH/kXEbPT/dHGcePGVbs6MzPS6LszgVXAmPR9Zrmj8iQ1ABsi4hngWrKRddcC7f9/PVrSYrIBC1/o4FSXA5emW3eDgZOB8yU9CCwCjiinnd3R3Vt5lbSCLAnVPWn9OrLA9KykPSJiVbpV91zavhKYmDt+QipbyZZbf6Xy21P5hA72NzMrhBSEKj08fD/gcYCI+ArwlU72uyAivpoviIhZueXfAr/NbV5E9viFdsccXV5zO9ftHlOlRMTfgWck7ZuKjgUeIksHXBpZNxO4IS3PA05No/MOJxtRsgqYDxwvaXQa9HA8MD9te0nS4Wk03qm5c5mZ9TvpBdmryQYn9Hn16DFBltfpKklDgSfInl8NAq6VdDrZPdIPp31vAt4LNJM9LPwEQESslnQucF/a79ulgRDAv5B1R0eQDXrwwAcz67fSC7KXdmO/SdVvTfm6ncG2v3MGWzPrJb8nWWE1v5VnZmbWFQcmMzMrFAcmMzMrFAcmM7N+QtI3JC1L84oukvS2LvY9TdIbatm+7qrXqDwzswHrhx85cZu0F1+85sZyX7B9O3Ai2YTbGySNBYZ2cchp1Dm9RWfcYzIzq6EUlLZJe5HKy7EH8HxEbACIiOcj4n8kfUvSfZKWSpqd3gntKL3FUymYIakxzTtaSonxS0l/AX6ZelrXS/pjyuzw/TLbvQ0HJjOz2qpW2oubgYmSHpX0M0nvTOUXRcShEbE/2budJ7ZPbxER67dz7qnAcRFxSlo/kGyuvbcCH5E0sdMje8GBycystqqS9iIiXibLlXcG2UTZ16QEge+SdI+kJcAxZFMX9dS8dsHrlohYGxGvkc3cs1c5bW/Pz5jMzGqramkvImIz2Zyht6dA9E/AAUBjRDwjaRbbpsEoyafLaL9P+/QWG3LLm6lwLHGPqUbWP7yaltmLWXX+vbTMXsz6h1dv/yAz64+qkvZC0r6SpuSKDiRLWwHwvKSdyGYKL8mntwB4iqzHBfChctpSLgemGlj/8GrWzHuc1nUb0YgGWtdtZM28xx2czAagNPpum7QX5Y7KA3YCrpD0UEprMRWYBfycbPTdfLbMLQq59BaSRgDnAD+V1ETWC6obz5WXVHOuvJbZi2ldt5FBQwe/Xta2cTMNOw9l3BkHVKVOM6sZz5VXYX7GVAOtL76GRmQ/6qc3PMvC15pZ1/YKO78ygqMfHc4+++xT5xaamRWHA1MNNIweTuu6jTwTz3PHq4sZjBgaQ3h10Eb+8IcsI4eDk5lZxs+YamCnoybA5mDh+scYjGigAUkM32UHBg0axF133VXvJpqZFYYDUw2MePMYRn3gTaxjPYPbBqHBomHkMDR8MEOGDGHNmjX1bqKZWWH4Vl6NjHjzGHaduBvr1q2jYeiW6as2bdrEqFGj6tgyM7NicY+pho444gja2trYuHEjEcHGjRtpa2vjiCOOqHfTzMwKwz2mGioNcLjrrrtYs2YNo0aN4ogjjvDABzMrm6RJwI1pTrxS2Szg5Yj4QZ2a1SsOTDW2zz77OBCZDXArzrpzm7QXE753ZLkv2HZLrVJXlMO38szMaigFpW3SXqTyqpB0u6SfpFkdPifp/Wli14WS/lvS7mm/WZLmpP2fkPTZVD5J0tLc+b6UemNI+mxptglJcyvRXveYzMxqq6O0F6XyavaahkZEI4Ck0cDhERGS/jfwFeCLab83A+8im0fvEUmXbOe8ZwGTU3LCiozkcmAyM6utyWQ9pbyy014Anc0vVyq/Jlc2gSwtxh5kWW7zM5v/PiUb3CDpOWD37dS7mCzh4H8C/9nzZm/Lt/LMzGrrSbbMLF5SibQXLwCj25WNAZ5Py/nUFf9OlkDwrWSpMfJpLjpKaZFPiUG7/d9HdmvyYOA+SWV3eByYzMxqqyppL1KiwFWSjgGQNAaYBvy5g91HAivT8sxunP5ZYDdJu0oaBpyY6hgETIyI24CvpvPuVM51gAOTmVlNpdF326S9qNCovFOBb0paBNwKnBMRj3ew3yzgN5LuZ0uPqlMRsQn4NnAvsAB4OG0aDPwqJSVcCFwYEWVPZeO0F0k1016YWb/mtBcV5h6TmZkVigOTmZkVigOTmZkVSt0Ck6TB6a3jG9P65PQmcrOkayQNTeXD0npz2j4pd46vpfJHJL0nVz4tlTVLOqvW12ZmZr1Xzx7T54DlufXzgR9HxN7Ai8Dpqfx04MVU/uO0H5KmAjOA/ciGRP4sBbvBZGPqTwCmAqekfc3MrA+oS2CSNIHspaz/SOsCjgGuS7tcAZyUlqenddL2Y9P+04G5EbEhIp4EmoHD0qc5Ip6IiI3A3LSvmZn1AfXqMf2EbG6mtrS+K7AmN+PtCmB8Wh4PPAOQtq9N+79e3u6Yzsq3IekMSU2SmlpaWsq9JjOzupEUkn6YW399otVenGuSpI9WrHE9VPO58iSdCDwXEfdLOrrW9edFxGxgNmTvMdWzLWY2cMyaNWubtBezZs0q9wXbDcAHJX03Irb70ux2TAI+Cvy6zPP0Sj16TP8IfEDSU2S32Y4BfgqMys2xNIEt02WsBCZClkc+drrzAAAQjElEQVSEbMqLF/Ll7Y7prNzMrO5SUNom7UUqL0cr2R/aX2i/QdI4Sb+VdF/6/GMqnyXpl5L+KukxSZ9Kh3wPOFLSIklfkHSapIty57ux1LGQ9LKk8yQ9KOnuXAqNDuvsjpoHpoj4WkRMiIhJZIMXbo2IjwG3ASen3WYCN6TleWyZy+nktH+k8hlp1N5kYArZdBn3AVPSKL+hqY55Nbg0M7Pu6CjtxYZUXq6LgY9JGtmu/Kdkg8sOBT5Eer6fHEDWQXg78C1JbyBLZXFnRBwYET/eTp07AndHxD8AdwCl4NZVnV0qUtqLrwJzJX2HbM6ly1L5ZcAvJTWT/XUxAyAilkm6FniI7C+FMyNiM4CkzwDzyeZxmhMRy2p6JWZmnatW2gsi4iVJVwKfBdbnNh0HTM3GjQGwi6TSZKs3RMR6YL2k28gGkPVkvruNwI1p+X7g3V3VmSab7VJdA1NE3A7cnpafIPuBtN/nNeB/dXL8ecB5HZTfBNxUwaaamVXKk2S3717NlVUi7UXJT4AHgF/kygaRJQZ8Lb9jChrtn6939Ly9q7QXm2LLpKulNBmd1tkdnvnBzKy2qpL2oiQiVgPXsuVdUICbgX8trUg6MLdtuqThknYFjiZ7HLKOLINtyVPAgZIGSZpIB52IDnRVZ5ccmMzMaiiNvtsm7UUFRuXl/RAYm1v/LNAoabGkh4BP57YtJnvGfzdwbkT8TyrbnAY0fAH4C1mP7iHgQrIe2fZ0VWeXnPYicdoLM+ulPpv2Ir3n9HJE/KDebclzj8nMzAqlSKPyzMyshiJiVr3b0BH3mMzMrFAcmMzMrFAcmMzMrFAcmMzMrFAcmMzM+gFJm9Okq0sl/UbSDql8u1MASfp8af8i8Kg8M7Mau+XWN22T9uLYYx4v9wXb9RFxIICkq8heaP1RN4/9PPArtp4mqW7cYzIzq6EUlLZJe5HKK+VOYO98gaSjJd2YW78opbP4LPAG4LY0iSuSTpG0JPW+zq9gu7rFgcnMrLaqmfailLfuBGBJd/aPiAuB/wHeFRHvSmkvzidLhXEgcKikkyrRtu5yYDIzq63JbHvLrBJpL0ZIWgQ0AU+zJXVQTx0K3B4RLRHRClwFHFVm23rEz5jMzGqrWmkvXn/G1ImuUlcUintMZma1VdW0F134G1nivmGSRgHH5rbl01zcC7xT0lhJg4FTgD9VuW1bcWAyM6uhNPpum7QXFRiV16WIeIYsT9PS9L0wt3k28EdJt0XEKrLU6rcBDwL3R8QN1Wxbe057kTjthZn1Up9Ne1FU7jGZmVmhODCZmVmhODCZmVmhODCZmVmhODCZmVmhODCZmVmhODCZmVmhODCZmVmhODCZmVmhODCZmVmhODCZmVmhODCZmVmh1DwwSZoo6TZJD0laJulzqXyMpAWSHkvfo1O5JF0oqVnSYkkH5841M+3/mKSZufJDUlrg5nSsJ1k0M+sj6tFjagW+GBFTgcOBMyVNJZtm/ZaImALcktYhSxE8JX3OAC6BLJABZwNvAw4Dzi4Fs7TPp3LHTavBdZmZWQXUPDBFxKqIeCAtrwOWA+OB6cAVabcrgFKO+enAlZG5GxglaQ/gPcCCiFgdES8CC4BpadsuEXF3ZDk9rsydy8zMCq6uz5gkTQIOAu4Bdk8JqgD+DuyelscDz+QOW5HKuipf0UF5R/WfIalJUlNLS0tZ12JmZpVRt8AkaSfgt8DnI+Kl/LbU06l6BsOImB0RjRHROG7cuGpXZ2Zm3VCXwCRpCFlQuioirk/Fz6bbcKTv51L5SmBi7vAJqayr8gkdlJuZWR9Qj1F5Ai4DlkfEj3Kb5gGlkXUzgRty5aem0XmHA2vTLb/5wPGSRqdBD8cD89O2lyQdnuo6NXcuMzMruIY61PmPwP8HLJG0KJV9HfgecK2k04G/AR9O224C3gs0A68CnwCIiNWSzgXuS/t9OyJWp+V/AS4HRgB/SB8zM+sDlD3OscbGxmhqaqp3M8ys7/F7khXmmR/MzKxQHJjMzKxQHJjMzKxQHJjMzKxQHJjMzKxQ6jFcvF+5c8WdXL7scla+vJLxO43ntP1O48gJR9a7WWZmfZZ7TGW4c8Wd/Nufv0nLqgfYZc1KWlY9wL/9+ZvcueLOejfNzKzPcmAqw+X3/Yghr7zAiLbNaNBgRrRtZsgrL3D5fT/a/sFmZtYhB6YyrFz7JMMFKP0YNYjhysrNzKx3HJjKML51M69p6x/haxrE+NbNdWqRmVnf58BUhtMaxrEp2lhPEATrCTZFG6c1OIWGmVlvOTCV4cgjvsbX18O4NniJ7Pvr67NyMzPrHQ8XL8c+7+ZIfsSRd/0U1jwNo/aEd38O9nl3vVtmZtZnOTCVa593OxCZmVWQb+WZmVmhODCZmVmhODCZmVmh+BlTGdbdcQerL5vDphUrGDJhAmNO/yQ7H3VUvZtlZtanucfUS+vuuINnv30urS0tDBo5ktaWFp799rmsu+OOejfNzKxPc2DqpdWXzUFDhzJoxAgkZd9Dh7L6sjn1bpqZWZ/mW3m9tGnFCl4dtiMtz7/CxtY2hjYMYtyOQ9lhxYp6N83MrE9zj6mXXh6zG8+/sJbWzW0MHiRaN7fx/AtreXnMbvVumplZn+bA1EvX7X00DW2bGda6EUUwrHUjDW2buW7vo+vdNDOzPs2BqZduH7U3Nxx1Cut2HMmIDa+wbseR3HDUKfxp1N71bpqZWZ/mZ0y9NHH0DixqmMqjkw54vezVja1M2Hl4HVtlZtb3OTD10j8d9UauuH0u79hjPqOHPc+LG8by51XvYeZRM+rdNDOzPs238npp/7HL+fhbfsPIoS/xyqYdGDn0JT7+lt+w/9jl9W6amVmf5h5TLz399Gx2GDaCnXcY8XrZ5s3refrp2Ywd+846tszMrG9zj6mX1r+2gkGDtn6eNGjQcNa/5veYzMzK4cDUSyOGT6Ct7bWtytraXmPE8Al1apGZWf/QbwOTpGmSHpHULOmsSp9/zz3PoK1tI5s3ryci2Lx5PW1tG9lzzzMqXZWZ2YDSLwOTpMHAxcAJwFTgFElTK1nH2LHvZN99zmHY0HG0tq5l2NBx7LvPOX6+ZGZWpv46+OEwoDkingCQNBeYDjxUyUrGjn2nA5GZWYX1yx4TMB54Jre+IpVtRdIZkpokNbW0tNSscWZm1rn+Gpi6JSJmR0RjRDSOGzeu3s0xMzP6b2BaCUzMrU9IZWZmVnD9NTDdB0yRNFnSUGAGMK/ObTIzs27ol4MfIqJV0meA+cBgYE5ELKtzs8zMrBv6ZWACiIibgJvq3Q4zM+uZ/norz8zM+igHJjMzKxQHJjMzKxQHJjMzKxQHJjMzKxQHJjMzKxRFRL3bUAiSWoC/9fLwscDzFWxOX6p/IF/7QK9/IF97vv7nI2JaHdvR7zgwVYCkpohoHIj1D+RrH+j1D+RrL0L9/Zlv5ZmZWaE4MJmZWaE4MFXG7AFc/0C+9oFe/0C+9iLU32/5GZOZmRWKe0xmZlYoDkxmZlYoDkxlkDRN0iOSmiWdVaU6Jkq6TdJDkpZJ+lwqnyVppaRF6fPe3DFfS216RNJ7KtCGpyQtSfU0pbIxkhZIeix9j07lknRhqn+xpIPLqHff3PUtkvSSpM9X89olzZH0nKSlubIeX6ukmWn/xyTNLLP+CyQ9nOr4naRRqXySpPW5n8OluWMOSf9mzamNKqP+Hv+8e/u70Un91+TqfkrSompcfxe/azX797ckIvzpxYcsAeHjwBuBocCDwNQq1LMHcHBa3hl4FJgKzAK+1MH+U1NbhgGTUxsHl9mGp4Cx7cq+D5yVls8Czk/L7wX+AAg4HLingj/vvwN7VfPagaOAg4Glvb1WYAzwRPoenZZHl1H/8UBDWj4/V/+k/H7tznNvapNSG08oo/4e/bzL+d3oqP52238IfKsa19/F71rN/v39yT7uMfXeYUBzRDwRERuBucD0SlcSEasi4oG0vA5YDozv4pDpwNyI2BARTwLNqa2VNh24Ii1fAZyUK78yMncDoyTtUYH6jgUej4iuZuco+9oj4g5gdQfn7cm1vgdYEBGrI+JFYAHQrZkBOqo/Im6OiNa0ejcwoatzpDbsEhF3R/Z/yitzbe5x/V3o7Ofd69+NrupPvZ4PA1d3dY7eXn8Xv2s1+/e3jANT740Hnsmtr6DrgFE2SZOAg4B7UtFn0i2EOaXbC1VqVwA3S7pf0hmpbPeIWJWW/w7sXsX6AWaw9f+QanXt0PNrreZ/G58k+yu9ZLKkhZL+JOnIXLtWVLj+nvy8q3X9RwLPRsRjubKqXH+737Ui/fsPCA5MfYSknYDfAp+PiJeAS4A3AQcCq8hucVTLOyLiYOAE4ExJR+U3pr9Kq/begaShwAeA36SiWl77Vqp9rV2R9A2gFbgqFa0C9oyIg4D/A/xa0i5VqLpuP+92TmHrP06qcv0d/K69rp7//gOJA1PvrQQm5tYnpLKKkzSE7Bflqoi4HiAino2IzRHRBvycLbesKt6uiFiZvp8DfpfqerZ0iy59P1et+skC4gMR8WxqR82uPenptVa8HZJOA04EPpb+50i6hfZCWr6f7LnOPqmu/O2+survxc+7GtffAHwQuCbXropff0e/axTg33+gcWDqvfuAKZImp7/oZwDzKl1Juq9+GbA8In6UK88/t/l/gdIopnnADEnDJE0GppA9CO5t/TtK2rm0TPYgfmmqpzTaaCZwQ67+U9OIpcOBtbnbIL211V/Ktbr2nJ5e63zgeEmj022v41NZr0iaBnwF+EBEvJorHydpcFp+I9n1PpHa8JKkw9N/P6fm2tyb+nv6867G78ZxwMMR8fotukpff2e/a9T5339Aqvfoi778IRuV8yjZX2rfqFId7yC7dbAYWJQ+7wV+CSxJ5fOAPXLHfCO16RG6ORqri/rfSDaq6kFgWek6gV2BW4DHgP8GxqRyARen+pcAjWXWvyPwAjAyV1a1aycLgKuATWTPBk7vzbWSPQtqTp9PlFl/M9kzi9K//6Vp3w+lf5NFwAPA+3PnaSQLII8DF5Fmeell/T3+eff2d6Oj+lP55cCn2+1b0eun89+1mv37+5N9PCWRmZkVim/lmZlZoTgwmZlZoTgwmZlZoTgwmZlZoTgwmZlZoTgwmZlZoTgwmZlZoTgw2YCjLI/Pw5Iul/SopKskHSfpLyl/zmHp89c0QehdkvZNx+4n6V5l+X8WS5qSZsf4vaQHJS2V9JF6X6NZX+YXbG3ASTNHN5PNHr2MbAqdB8lmOfgA8AmyaWxejYhWSccB/xwRH5L078DdEXFVmm5nMNnsANMi4lPp/CMjYm2NL8us32iodwPM6uTJiFgCIGkZcEtEhKQlZAnoRgJXSJpCNk3NkHTcX4FvSJoAXB8Rj6VjfijpfODGiLiz1hdj1p/4Vp4NVBtyy2259TayP9jOBW6LiP2B9wPDASLi12S9qvXATZKOiYhHybKuLgG+I+lbtbkEs/7JPSazjo1kS6qC00qFaRbrJyLiQkl7AgdIehhYHRG/krQG+N81b61ZP+Iek1nHvg98V9JCtv4D7sPAUkmLgP3J0na/Fbg3lZ0NfKfWjTXrTzz4wczMCsU9JjMzKxQHJjMzKxQHJjMzKxQHJjMzKxQHJjMzKxQHJjMzKxQHJjMzK5T/H7DOjX/I+AQTAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 438.625x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.lmplot(x=\"mass\", y=\"diameter\", hue=\"planet\",\n",
    "               truncate=True, height=5, data=planets_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x12d907a90>"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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WQtPIz0cY+cUI833zRKoitL6wlY5XddD63FYilZoIHgIKSj6goCR5G71zlP1/tp+ph6ZovbKV1W9cTaRKb8oiXrDWMvXQFMN3DDP6q1ESwwkqmipof1k7Ha/uoOnpTbqsS3DpL84HFJQkZ4nRBIfec4iTnztJrC3GmrevoeGiBq/LEpEMm7SM3zPOyH+OMPqbUVJTKeLdcTpf2UnHqzqoO79OQ+PBor8sH1BQkhVZa+n/Vj8H33GQub452l7cxqrXr9LV3EV8LDWTYvR/Rhn5zxHG7h6DBFRvq06Hpqs6qNmqofIAUFDyAQUlWdbIr0c4+I6DjO8ap3pLNWvesUZzkUQCJjGaYPTXowz/fJjJ3ZMA1F1QR8efdND+inaq11d7XKFkoaDkAwpKsqSJ+yc4fP1hTv/wNLH2GKtev4rmZzfrMiQiATc3MMfoL0cZ+cUIU/umAKjfWU/7y9tpf1k71RsVmnxEb7g+oKAkjzF21xhH//4op//tNJHaCB1XddD+snZN1hYJodmTs4z+apSRX48w/btpAOrOr6PtyjbaXtxG7RNqNafJW/rl+4CCkpBKpDj9b6c58f+dYOQXI0QborS/tJ3WF7dSUa91WUTKweypWUZ/PcrYb8aYfHASLFSeVUnbC9toeX4LTX/cRLRK8xJLTEHJBxSUythMzwy9X+7l5BdOMndijlhnjLYr22i9olUra4uUsfmhecb+Z4yx/x1j4t4JUjMpIjURmi5pouXZLTRf1kzNthp1m9ynX7APKCiVmfmheQa+N0Df1/sY/fUoWKj/g3paX9RKw1MbNAdJRB4jNZdiYvcEY3eOMbFrgtnjswDEu+M0X9JM4zMaafrjJqo3VSs4OU+/UB9QUCoDUwemOP3j05z+8WlGfzWKTVgq11bSdGkTzc9qprJbF68VkdzM9c4xvmuc8V3jTO6ZJDGcACC+Kk7DxQ00PrWRhj9soO78OnWmi6eg5AMKSiE0c3yGkV+NMPLL9G3m4AwAVeurqL+oPv1/f1v1f38iUhxrLbPHZpnYPcHkg5NM7Z1KX7gXIAq159ZSv7Oe+gvqqd1RS+0Taok16SK+edCbtA8oKAWYtZbZ47NMPjTJ+D3p/8Mb/+04c6fSb1TR+ii1T6il7oI6Gp7aQOVqdY5ExF3zQ/NM7Z1iav8U0w9PM/3wNImRxKP3x7vj1J5XS83ZNdRsq6Hm7BqqN1VTuaZSQ/+Pp1+IDygo+VxqLsXsyVlmj88yc3iG6UPTzBycYerhKab2TpGcSD762Mp1lVRvrabm7Brqzq+jakOV3nhExFPWWuYH55k5NMPMofR72Oyx9Htaajr16ONMzKTfwzZUU7muksq1lVStrSK+Ok58VZx4V5x4e7zc3tPK6sX6lYKSR5IzSUZ+PkJiOMH88DyJ4QSJoQRzA3PM988z1z/H3Mk55gfmH/tEA7GOGJWrK6lcX0nV+iqq1ldRvbGaaJ3mA4hIMCwEqNnjs8ydSr/fzZ6YZb5/nvmBeeZPzz/+XdpARXMFsfZY+tYaI9Yco6K5In1rrCDaEKWioYJoXZRobZRIbST9fXWUSHUkfauKBGXqQSCKDDsFJY/Mn57nN22/ecy2SHUk/Y+9Kf0PvqIl84bQln5TqOyqJNYZIxLX4o8iEm6p+RSJ0wnmT6dDU2Io/T+TidHMbSRBcjxJciJJcjz5mO5ULkzcEKmM/P5rzBCJp3/e8IENtL+43aVXlhcFJR8o26BkjPkZ0Faiw7UBgyU6VinpdQVHGF8T6HUFSRhfE7j7ugattZe7tG/JUdkGpVIyxuyy1u70ug6n6XUFRxhfE+h1BUkYXxOE93XJ72kMR0RERCQLBSURERGRLBSUSuMmrwtwiV5XcITxNYFeV5CE8TVBeF+XZGiOkoiIiEgW6iiJiIiIZKGgJCIiIpKFgpKIiIhIFgpKIiIiIlkoKImIiIhkoaAkIiIikoWCkoiIiEgWCkoiIiIiWSgoiYiIiGRR4XUBXrn88svtz372M6/LEBERycYU8iR9vuUsp99v2XaUBgcHvS5BRETEcfp8c1bZBiURERGRlSgoiYiIiGShoCQiIiKShYKSiIiISBYKSiIiIiJZuB6UjDFfMsb0G2MeXLStxRhzuzHmkczX5sx2Y4z5lDHmgDFmjzHmgkXPuTrz+EeMMVcv2v5kY8wDmed8yhhT0OmUIiIiImcqRUfpK8DlZ2x7F3CHtXYLcEfmZ4DnAlsyt2uBz0E6WAHXA08BLgSuXwhXmce8YdHzzjyWiIiISEFcD0rW2l8DQ2dsvgK4NfP9rcCVi7Z/1abdCTQZY7qA5wC3W2uHrLXDwO3A5Zn7Gqy1d1prLfDVRfsSERERKYpXc5Q6rbWnMt/3Ap2Z77uB44se15PZttz2niW2L8kYc60xZpcxZtfAwEBxr0BERMQn9PnmHs8nc2c6QbZEx7rJWrvTWruzvb29FIcUERFxnT7f3ONVUOrLDJuR+dqf2X4CWLvocWsy25bbvmaJ7SIiIiJF8yoo/QhYOHPtauCHi7a/NnP220XAaGaI7jbgMmNMc2YS92XAbZn7xowxF2XOdnvton2JiIiIFKXC7QMYY74J/DHQZozpIX322oeB7xhjrgGOAq/IPPynwPOAA8AU8DoAa+2QMeYDwN2Zx91grV2YIP5m0mfWVQP/nrmJiIiIFM31oGStfWWWuy5d4rEWuC7Lfr4EfGmJ7buA84qpUURERGQpnk/mFhEREfErBSURERGRLBSURERERLJwfY5SWehf+SEiIlIGOrwuQJymjpKIiIhIFgpKIiIiIlkoKImIiIhkoaAkIiIikoWCkoiIiEgWCkoiIiIiWSgoiYiIiGShoCQiIiKShYKSiIiISBYKSiIiIiJZKCiJiIiIZKGgJCIiIpKFgpKIiIhIFgpKIiIiIlkoKImIiITI9MFpDv7NQa/LCA0FJRERkRBJzaSY2j/ldRmhoaAkIiISIiZiSIwlvC4jNBSUREREwiQCyfGk11WEhoKSiIhIiJiIITGijpJTFJRERETCJIqCkoMUlERERELERNMdJZuyXpcSCgpKIiIiIWKiBlKap+QUBSUREZEQMVEDwPzpeY8rCQcFJRERkTCpSH+ZH1BQcoKCkoiISIgsdJTm+uc8riQcFJRERERCxFRkht761VFygoKSiIhIiCwEpbledZScoKAkIiISIsYYoo1RZk/Mel1KKCgoiYiIhEysNaag5BAFJRERkZCJtceY7VFQcoKCkoiISMjEO+PMHJnxuoxQUFASEREJmfiqOImhBIkxXfOtWApKIiIiIRPvigOoq+QABSUREZGQWQhK049Me1xJ8CkoiYiIhEzlukoApvZPeVxJ8CkoiYiIhEy0OkqsI8bU7xSUiqWgJCIiEkKVayuZ2qegVCwFJRERkRCq2lDF5EOT2KT1upRAq/C6AAmQPUU+f4cjVYiISA6qN1WTmk4x9cgUtdtqvS4nsBSUZHnFhqOV9qXwJCLiiurN1QBM7J5QUCqCgpIszcmAlM9xFJxERBxReVYlJmaYuGeCzqs6vS4nsBSU5LFKFZByOb5Ck4hIwSKxCNVbqhm7a8zrUgJNQUnSvA5IS1moSYFJRKQgNdtrGPrJEKn5FJGYzt8qhH5r4s+QtNieRTcREclZ7fZaUtMpJu6f8LqUwFJQKndBCx8KTSIiOas9Lz2Je/TXox5XElwKSuUs6GFDgUlEZFmx9hiV6yoZvmPY61ICy9OgZIx5mzHmIWPMg8aYbxpjqowxG4wxdxljDhhjvm2MiWceW5n5+UDm/vWL9vPuzPb9xpjnePV6AiVMAUOBSUQkq7on1TH661FS8ymvSwkkz4KSMaYb+Etgp7X2PCAKXAV8BLjRWrsZGAauyTzlGmA4s/3GzOMwxmzPPO9c4HLgs8aYaClfS+CENVQoMImIPE7dk+pITiR19luBvB56qwCqjTEVQA1wCngm8N3M/bcCV2a+vyLzM5n7LzXGmMz2b1lrZ621h4EDwIUlql/8SIFJRORR9U+uhwo4/ePTXpcSSJ4FJWvtCeAfgWOkA9IocA8wYq1NZB7WA3Rnvu8Gjmeem8g8vnXx9iWe8xjGmGuNMbuMMbsGBgacfUFBUU4BQoFJRMrE4s+3weHBx9wXrYtS98Q6Tv9QQakQXg69NZPuBm0AVgO1pIfOXGOtvclau9Nau7O9vd3NQ/lTuYYGBSYRCbnFn29tzW2Pu7/hDxuY+t0UU49MeVBdsHk59PYs4LC1dsBaOw98H7gYaMoMxQGsAU5kvj8BrAXI3N8InF68fYnniPyewpKIlKnGP2wEYPAHgys8Us7kZVA6BlxkjKnJzDW6FNgL/AJ4WeYxVwM/zHz/o8zPZO7/ubXWZrZflTkrbgOwBfhtiV6D5GL3MrdSU3dJRMpQfFWcmu019H+z3+tSAsezS5hYa+8yxnwXuBdIAPcBNwE/Ab5ljPlgZtstmafcAvyzMeYAMET6TDestQ8ZY75DOmQlgOustcmSvpggKFU4yDf8LPf484spZAW6PIqIlJmmZzZx8tMnmdw7Se32Wq/LCQyTbsqUn507d9pdu3Y5s7MgBHQ3g1IpOkNuhiaFJRFxSoejezOFPOmCcy+wd3zmjsdtnx+aZ+/L97Lu3evY+MGNRRcXAjn9fr1eHkCCrlTDZ24O2Wk4TkTKQKwlRv2T6+n9Si82WZ5NkkIoKJUDN0KAV3OM3Dy+ApOIhFzLC1qYOzHH0M+GvC4lMBSUJH9eBqQzudFlUlgSkZBq/MNGKloqOHnTSa9LCQwFJcmPn0LSmZwMTOouiUgImQpDy+UtnP7xaWaOzXhdTiAoKEnu/BySFnM6MImIhEjri1rBQM+nerwuJRAUlMLOqQ/6oISkxZwKTOouiUiIxDvjND2jiVM3nyIxllj5CWVOQUnCz8nAJCISAu2vaCc5luTUF095XYrvebbgpASIm92k5cKH0+sbLbyOYtZk2oPWXRKRwKs5u4baJ9Zy/OPHWf3m1USrol6X5FsKSrI8L88my/b4YoNKsYFJq3qLSAh0vraTQ+84RO8tvXRf1+11Ob6loTdxn9NzfPbgzD6LHZLTUJyIBFjdk+qo3VHL0Q8dJTmjK39lo6Ak7inFJGgnQpPCkoiUIWMMnVd3MndijlM3a65SNgpKkl3QAkQxoamY7pLOihORgKp7Uh1159dx9ANHdQZcFgpK4jw/hAavApOISIAYY+j68y7mB+Y59pFjXpfjSwpK4iy/hYVCu0wKSyJSJmrOrqHp0iZ6PtHDTI9W6z6TgpIsrZCg4PeQkG9gKrS7pKE4EQmYrj/rwqYsh9992OtSfEdBSZzhdDDYs8TNyX3nQ90lEQm5+Ko47a9op+9rfYz8esTrcnxF6yiJ93INFE6uq5TvWkiFrr2kBSpFJCA6X93J8O3DPPzmh9l5304iMfVSQB0lcUKhnROnOkXFdJ4KGY7LlzpLIhIAkaoI3X/RzdRDU5z49Amvy/ENBSUpPbfn8BQSmvJ5vMKSiIRUw8UN1D+lniPvO8LMMU3sBgUlKZZTlyVxSyGBKReFTPTWJG8R8TljDGv+ag02aXn4zx/GWut1SZ5TUJLS8TIk5BNS1F0SkTIWXxVn1TWrGPr3Ifq/0e91OZ5TUJLS8Es4cCMwKSyJSMi0XdlGzfYaHnnrI8z1zXldjqcUlOTxirl0SVDkG5hWUuhQnIiID5moYe3frCU5nmT/G/eX9RCclgeQwjkZNM4wcWAi/ydl1G2uy/3BuS4TkOtp/rvJbwkBLR8gIj5Vtb6Krmu6OPm5k/Te2kvX/+nyuiRPqKMkvlNMSFp4/sItZ7l0mNwailNnSUR8qu1lbdSeX8uBtx5g5mh5ngWnoBR2Xncr8ggBeYebPPaZ835zDUwrUVgSkRAwEcO6d67DJiz7rt6HTZbfEJyCkviC0wEp2zHyCkwr3b/SY/Kdt6SwJCI+FF8Vp/st3Yz+apRjHznmdTklp6Akj5fvZTqyyfGDvxQh6czj5RSavOguaa0lEfGh5uc00/TMJg6/7zCjd456XU5JKSiJp0odkpY6fk6BqZj7QUNxIhJoxhjWvG0N8Y44+165j8RYwuuSSkZBSQLp4OTBrLdCrBiYVur05DoUlw+FJRHVTK7WAAAgAElEQVTxkWhdlHXvWcfM8Rn2X1s+SwZoeQDxTD7dpHwC0FKP3VS7Keeall1eYKXT+Ve6X8sHiEiA1Z5Xy6rXr6L35l5OXXKK1W9c7XVJrlNHSTzhVkhabh+5dpwc6S4tR50lEQmwjqs6qL+wnkfe+ggT93s7faIUFJTKgRcdCYc+3J0ISUvtM5fQlFNgKuQ+UFgSkcAyEcO6d6+jor6Ch17+EInxcM9XUlAS33IjJC11jFwCU1bFhiUtHyAiAVTRVMG6965j+uA0+98Q7vlKCkriS6UISWceb7ljLttdWm4ozulJ3gpLIuITdU+sY9U1qxj49gAnP3vS63Jco6AkJbfS/KRSh6Qzj71SYMqqVENxCksi4hMdV3XQ8NQGDrztAGN3j3ldjit01psE3p48ksOOHCdsHZw8mPVMuYWwtOTZccudpebkGXE6G05EfMBEDGvftZZH3vgID738IXbeu5NYS8zrshyljpIszanVufOUazdpz6I/+cjneQV3l9RZEpEyUtFQwVnXn8XciTn2vXYfNhWu+UoKSuUiRN2HfMPRcvvJJTQtF5gKnre0HIUlEQmYmm01rL5uNUM/GQrd9eAUlCRQnApJS+03l8C0lBUneuezfYHCkogETOsVrenrwb33MMO/GPa6HMcoKIksslJgcnQoTmFJRELEGMOav15D5dpK9l61l9lTs16X5AgFJSnccsN5BQz1rTQ/ya1uUrZjZTtewUNx+WxfkO/ClCIiHopWR1l//XqSY0n2vnIvqUTK65KKpqBUTvINLx5N6F5KoSFpzxl/nDyu78KSukoi4gNVG6rofls3o78a5cj7jnhdTtG0PICEznLhZqn7VloyYOE5Sz1uISyduZRA1ovrZjut36mlA7RsgIj4QMtlLUzumeTYh47R+EeNtD631euSCqaOkoRGMV2jXJ6bb3dJnSURKWfdb+mmalMV+167j9kTwZ2vpKAkoeD0kgGF3J8tLC0ZmBSWRCTkIpURznrfWaQmUux9zV5sMpjrKykoie8V0+kp5pj5DuFBnvOWFJZEJOSq1lXR/dZuRn85ytEPHvW6nIIoKJUbpyd0h3w+zHKBKdt9JQlLuVJYEhGPtVzeQvOzmzlywxFG/nvE63LypqAk7ilBiCrVkgH5dpeyLSHgWFjSGksiEiDdf9VNfFWcfa/ZR2I04XU5eVFQkpJb8mywAFipu7QUhSUREYjWRFn3t+uY7Znl4b942Oty8qLlAaQs7M4xVZyfwzn4e9iz5FIB2bYfnDyY2/IBhSwdkOuyASIiHqvdXkvnn3bS95U+Wp/fSudVnV6XlBNPO0rGmCZjzHeNMb8zxuwzxjzVGNNijLndGPNI5mtz5rHGGPMpY8wBY8weY8wFi/ZzdebxjxhjrvbuFZUpj+Yp5TrslmtIWnjswp+Vjr3U8fOZt1TyzpK6SiLisc7XdFKzvYZHrnuE2d5gLBng9dDbJ4GfWWu3AU8E9gHvAu6w1m4B7sj8DPBcYEvmdi3wOQBjTAtwPfAU4ELg+oVwJVn4dIXuM7suTsgnJC313FwCU67bFZZEpNyZqGHtO9eSnEjy8Jsexlr/LxngWVAyxjQCTwduAbDWzllrR4ArgFszD7sVuDLz/RXAV23anUCTMaYLeA5wu7V2yFo7DNwOXF7ClyLL8fCsuGJC0pn7WW5fCksiIrmrWlfFqtet4vS/nqb/W/1el7MiLztKG4AB4MvGmPuMMV80xtQCndbaU5nH9AILg5jdwPFFz+/JbMu2/XGMMdcaY3YZY3YNDAw4+FIkX25P6HYqJOW6T4UlEfHS4s+3weFBr8tZUfvL29NDcH/xCHODc16Xsywvg1IFcAHwOWvtk4BJfj/MBoBN9+Qc68tZa2+y1u601u5sb293arfloczXU1qwXHdpuXlLZ1JYEhEnLf58a2tu87qcFZmoYe1fryU5luTQOw95Xc6yvAxKPUCPtfauzM/fJR2c+jJDamS+LvTlTgBrFz1/TWZbtu2ynAAFm5UuWuuFfLtLroQlEZEAq9pQRdtL2+j9Ui+jvxn1upysPAtK1tpe4Lgx5uzMpkuBvcCPgIUz164Gfpj5/kfAazNnv10EjGaG6G4DLjPGNGcmcV+W2SZ+4b+c44iVuku5bCsqLKmrJCIB13l1J7HOGA//+cOkEimvy1mS12e9vQX4ujFmD+nBnX8APgw82xjzCPCszM8APwUOAQeAm4E3A1hrh4APAHdnbjdktkkAuXHmWy72nPEnH26EpZwpLIlIgEWro6x+82omH5zk1M2nVn6CB0wQTs1zw86dO+2uXbuc2Zn/J+0vrZAPyJU+fPOcU7NU92Sp4JBr6FiQ62TuXEJRrkN/2RarXOr5S207MyQuOeE9WynLlZjr8g4h7fyJlFSHo3szhTzpgnMvsHd85g5HC3GTtZaDbzvI3Kk5nnLgKVTUl2wt7Jx+v153lMRLAf9gLHbuUq6do1y7TMV2ls6kyd0iUg6MMXRd28V8/zzHP3585SeUmIKSlEaRoczpCd2FXEw3l8BUTFhy9Uw4EREfq91eS+MzGjn+j8eZ6/PXcgEKSuKsPPPMUsNLXs1TytVKgcnTsJS9qNwobImIR7qu6SI1neL4jf7qKikoSX50AdZHORWWzqQz4USkHFWuraTx6Y2c/OxJ5kfmvS7nUQpKUjoBnxO1FCfCks6EExFJ63hVB8nxJCc/e9LrUh6loFTufBBech1+y/XssVJbbiiumLPvzgxLmq8kImFXs6WG+gvr6flkD6k5f6yrpKAkzvM+u2Q9Vd9N+YSlkpwJl426SiLiY20vaWO+f57BH/njmnUKSpK/YjKID0KUm5wOS5qvJCLlpn5nPbHOmG8WoFRQEl8I+vDbYp6FpaWLyU5hSUR8yEQNLZe3MHz7MNNHpr0uR0FJcKfL46/sUnLFhqUz5TS5W/OVRCQkWi5vAQv93/D+0hcKSlKYAAy/eTFPKRe5hCXNVxKRchZfFadmWw2D/+r9PCUFJfGNMA2/QWGrfy/3fM1XEpFy0nBxA+N3jzN7ctbTOhSUxD3+yy6PKlWw8mQILnsx2SksiYjPNF7cCMDpfzvtaR0KSuKNMhp+KyYsOb6+kohIQFSuryTWEWPklyOe1qGgJIVzIYOUcvitlMN1xQzDOTpfSV0lEQkIYww122sY/c2op3UoKEmaW5nBB8NvfugqZePkkgE5U1gSkYCoPbeW2eOzzPTMeFaDgpJ4J48QFeRJ3Qvcnq9U8iE4hSURcVntubUAjN817lkNCkriO0sNv7nFz8HqTL4bghMRcVnl+koApvZPeVaDgpIUx+NRrVy7Sn4ZftNZcCIiuYtWR4m1xZh+xLsVuhWUxH3LNW2y3JfrpG4nlLqrlE9YyvW5i2kITkTCJN4dZ+oRdZREXOeXrlI+AnEtOBERF8VXxZk5osncIjkJw1IBEKBrwWkITkQ8Fq2PkhhJeHZ8BSX5vUKzQi6NGoeG34oVxK7SUjQEJyLloqKhgtRkitR8ypPjKyhJ4ISlq5RNYCd2i4i4IFoXBSAx7E1XSUFJys5yXaWgrNad6/Pz6ippCE5EfMjEDACpOXWUJOxcHn7Lp6vk9yE4T7pKTlFYEhEn2fQXY4wnh1dQEmeUOHfks1RAUIfgcuHLrtJK+xERyUcmKOFNTlJQEv8rtquUjR+G4IodfltKzssFKMyISABYm0lKHiUWBSXxjzyziZtdpUKf46RCL5hbNHWVRMRHkpNJACoaKzw5voKSlFYJsodTXaUgc7WrpLAkIiWUnEhi4oZIlTeRRUFJAiHb8JsTXSU/DMHlw/OukohICaUmUlQ0VWgytwjgWMfJyYDjx7CUi5zPgNPEbhHxscRIglhrzLPjKyiJc1wexXJipe5ClwvwKizlcqHcfOR8DTinKSyJSIHm+ueoXFfp2fEVlKT0HM4c2Ybf8g03fg1LS8l1+M03XSURkQLN989TtbbKs+MrKIn/uJxHigk8fgpLhXK0q6QhOBFxUWouRWI4QeVadZREcpLvpO5swaaYFbvDEJaWVEhXyaljiIgsYe7kHADVm6o9q0FBSeQMpQxLToeuXIffPOsqgcKSiORs9vgsANVnKyhJuVkpHxSQH5zqKkHuYcnL7pIbq3qXpKskIpKj2Z50UKrZWuNZDQpKEjhOnP2Wi1wXoyw0LHk9hKeukoj43cyxGWKdMSoavFmVGxSUJGSc7Crlw+vu0kpyPvttOSuFG4UlEXHYzOEZap9Q62kNCkpS9oodgjtzX8uFppXud0LRQ3KlDDAKSyKShU1aZo7MUPeE0owiZKOgJM5yctHJZbJEIcNvhYaTQq8Ht2OJP36T9/Cb010lEZEs5nrnsLOW2vPUURJxVD7Xf1uwUogJw8Vz8xp+U1dJRDw2fXAaQENvUsY8aLAsF4jKISw5wo2uksKSiJxh5tAMRKD2XAUlkYIsN/xWSFcpF2EMS1mH34oJLwpLIlKk6YPTVG+uJloT9bQOBSXxNxe6TsV0laC0YanQY7myxtJjDxCs/YpI4MwcmqHuid5O5AYFJZHH8VtYcpIjywTkqtCJ3QpLImUvOZ1k7uQctTu8HXYDBSUJuEKH35w4A83tsFTKMFbQ8JsCjYi4ZPZIekVur894AwUlkSXlGqSC2lkqGXWVRKQA04czZ7wpKIl4Z6UwlE9YcjowhSqAKSyJSJ5mj8wSqYpQvcG7i+Eu8DwoGWOixpj7jDE/zvy8wRhzlzHmgDHm28aYeGZ7ZebnA5n71y/ax7sz2/cbY57jzSsR1xQxSubW2W9LcSrc+C4keTn8prAkUpZmjs9QvaUaEzVel+J9UALeCuxb9PNHgButtZuBYeCazPZrgOHM9hszj8MYsx24CjgXuBz4rDHG23MJpaSKuUiuU12lBcV2l7wMSY5eJPdMxazYrbAkUnbmeuao2VbjdRmAx0HJGLMGeD7wxczPBngm8N3MQ24Frsx8f0XmZzL3X5p5/BXAt6y1s9baw8AB4MLSvAIpWgkWnSy2q1TIxO98A1MhAavQCemOn/lWiiCjsCRSNlLzKWZPzVK91fthN4AKj4//T8D/BeozP7cCI9baRObnHqA78303cBzAWpswxoxmHt8N3Llon4ufI/naQdl9KO1gh2vrDi0VfnZn2iu+G2Jbzh6KD7W7Ke5agE7UICK+N98/D0mo3uSPoORZR8kY8wKg31p7TwmPea0xZpcxZtfAwECpDish4OQFbd2Y/O25XHNmsRfN3ZPHsUTKyOLPt8HhQa/LKcp8/zwAVWdVeVxJmpdDbxcDLzLGHAG+RXrI7ZNAkzFmodO1BjiR+f4EsBYgc38jcHrx9iWe8xjW2pustTuttTvb29udfTXiqWLmKeXKybBULD/V4gmFJZHHWPz51tbc5nU5RZnrmwOgcm2lx5WkeRaUrLXvttausdauJz0Z++fW2lcDvwBelnnY1cAPM9//KPMzmft/bq21me1XZc6K2wBsAX5bopchAbHSPKVcg0fYA8qyE7pXCiel6irlezwRCZT5gXRHqXJNmQelZbwTeLsx5gDpOUi3ZLbfArRmtr8deBeAtfYh4DvAXuBnwHXW2mTJqxaR3CksiUgWidEE0boo0Wp/nMDui6Bkrf2ltfYFme8PWWsvtNZutta+3Fo7m9k+k/l5c+b+Q4ue//fW2k3W2rOttf/u1esQF5WgkROUrlIux/esxnyCi5NhSYFJJDSS40kqmr0+1+z3fBGURILGqyDidUjzdSDxc20ikrPkhIKSiCdKuUq35MiprtIChSWRwEtOJaloVFAS8aV8Ojal7u543k3KVb5hxY2wpMAkElwpMBXeX7pkgYKSPF5APo/PVIolAs4UmPCSB1cvZZKN02EJFJZEgiqFr9KJj0oRkWx81enKJYD4JaSouyQSONZaTEQdJZHQcDuYhLFrtSQ3ukoLFJhEAsNEDanZlNdlPCqnoGSMeaExRqFKchPwq3OUTTBxWyHBxM2wBApLIgEQrYuSGEms/MASyTX8/AnwiDHmo8aYbW4WJOImt858cytc+Ta0uRk4ShGWFJhEfCtaGyUxGrCgZK19DfAk4CDwFWPM/2YuwFfvanXiHZ9+PvuZ06HGtyEpH4UGErfDEigwifhUpC4SyI4S1tox4LukL2DbBbwYuNcY8xaXahORPIUiXC0oRVgChSURn4m3x0mOJkmM+yMs5TpH6QpjzA+AXwIx4EJr7XOBJwLvcK88kWBxKqiEKvAUE0R2o+6SSJmJr4oDMHN4xuNK0nLtKL0EuNFa+wRr7cestf0A1top4BrXqhPxiJdBJTAhKZ9gUWwIKWV3SYFJxFPxrnRQmj407XElabkGpV5r7a8XbzDGfATAWnuH41WJP5Tq8zoguUA8VqqwBApMIh6Kd2eC0v5gBaVnL7HtuU4WIiET8CUCiuH3jlAuZ/65sjq3E8GjlGEJFJZEPFBRX0F8dZzxe8a9LgWAZa86Z4x5E/BmYJMxZvFbRj3wGzcLEylHfg9ZvrAQlkoVxhfe+fRXI1Iy1VurGb/bH0FppY7SN4AXAj/MfF24PTmzZICIlLN8Oy5OdmhKNdF7gbpLIiVTc3YNM0dmmBuc87qUFYOStdYeAa4DxhfdMMa0uFua+IKf/i/aT7UE2MHJg94W4HTg0NwlkdCpPa8WgJFfjHhcSW4dJYB7gF2Zr/cs+llEJH9uhCUFJpHQqDmnhmhdlKHbhrwuZfmgZK19QebrBmvtxszXhdvG0pQogeXBhO66zXWlP6iD9gTx09dPJWs4TiQUTNRQ96Q6hm8bxlrraS25Ljh5sTGmNvP9a4wxnzDGrHO3NPGNUgx5hWhYLZBhxwtuXy9Oay+JBFr9H9Qz2zPL5IOTntaR6/IAnwOmjDELK3EfBP7ZtapEyphfgpYrSwScye2XWurAJCKOabi4ASLQ/+1+T+vINSglbLr3dQXwaWvtZ0gvESDlIkQdn1zWEZI8FRMSShEwdCkUkcCJtcSov6Ce/m/2ezr8lmtQGjfGvBt4DfATY0yE9DXfRJZXxgtPFsMvXaWSKdXLLWVgEpGiNV7SyMyhGcZ3ebemUq5B6U+AWeAaa20vsAb4mGtViQSU1wHH0+MXe+hSll6KwKSwJFK0pqc3YSoNvV/u9ayGnIKStbbXWvsJa+1/ZX4+Zq39qrulie+4PfyWy/5DNAS4EjdDj+drKWVT6nDhdmDSUJxIUaJ1UZr+uIm+f+4jMZ7wpIZcz3p7iTHmEWPMqDFmzBgzbowZc7s4CQkNvwVWSSZ0n8mLcFGKwCQiBWl9USvJiST93/BmUneuQ28fBV5krW201jZYa+uttQ1uFiY+FYCOTtDXUlqskK5SoIff3NpXrtwMTApLIgWpOaeGqs1VnPjMCU8mdecalPqstftcrUQEAhHEsnEroLi1X98Ovy3m1dCVW4FJQ3EieTPG0HZlG5MPTDJ8x3DJj59rUNpljPm2MeaVmWG4lxhjXuJqZRIuTg6/BThMFSrfsORkuMp7+M2NIBDGwCQiOWt+djMVrRUc/9jxkh8716DUAEwBlwEvzNxe4FZR4nNlGFQkT24FgTAFJoUlkZxF4hHaXtLG8H8MM767tEsF5HrW2+uWuL3e7eIkZHLtKpUgiAVx0Uk3ukq5Dr95Mql7OV4GJidpKE4kZ20vaiNSG+HYh4+V9Li5nvW21RhzhzHmwczPO4wx73W3NPE1n3eVwjShezGv12nKSylK3UPpw4a6SyKeiNZFabuijYHvDDC5t3TXf8t16O1m4N3APIC1dg9wlVtFiayoBEFth0/TYD5hyfOuUikDQKlDk9OBSWFJZEXtr2gnUhXh6AeOluyYuQalGmvtb8/Y5s3KT+IfheQIHw2/SYiVMjQpLImUTEVjBW0vbqP/2/0l6yrlGpQGjTGbAAtgjHkZcMq1qkRyUcZhSl2lPI/vdmhysrvk9e9LxOfaX9FOpDrCkb87UpLj5RqUrgO+AGwzxpwA/gr4c9eqkuBws6tUpJXmKQVxQvdimq9UALdDk5NhyS+/MxGfqWisoP2l7Qz8ywDj97p/BtyyQckY83ZjzNuBK4GfAn8PfB74PvBS16uT8lbGHaNc5RqWPO8qpYvwF7fCiLpLIq5rf0U70YYoh9972PVjrdRRqs/cdgJvApqBJtLdpAvcLU0Cw8uu0grHLvbsN79O6F7MybDkOh+U8DhudZkUlkRcE62L0nFVB0P/PsTIf424eqxlg5K19v3W2vcDa4ALrLV/ba19B/BkYJ2rlYmA612loA+/Oa0k6yr5+YPf6cDkVHfJz78zEY+0vbiNirYKDr37kKvXgMt1jlInMLfo57nMNpE0H3eVykGghuDShfibG4GpWH7/nYmUWKQqQuefdjL2mzGGfjrk3nFyfNxXgd8aY/7OGPN3wF3AV9wqSgLKrcBS5H7DuvjkmQI1BAfB+OB3MjApLIk4rvV5rcS74+muUsqdrlKulzD5e+B1wHDm9jpr7YdcqUjKS4nOgFvOSsNvQZintMCpEFSyS5sE5ewup+p0YiguCL8vkRIxFYZVr1vF5AOT9H+735Vj5NpRwlp7r7X2k5nbfa5UI8HnVVfJ5UndQZJLWPLNENyCcgxMxdYhIgA0XdJE1cYqjrzvCKlEyvH95xyURFzjg66SE4LUeQIfDcEt5sOSluREYFJYEnGEiaS7StMHpum7tc/x/SsoifPcmtjtYlcpTMNvEMAhuMW8uNBtoYqtU2FJxBENFzdQc04NR95/hNSss10lBSVxh0+H4MpJIIfgzhSU0KSwJOIpY9Jdpdnjs/R+pdfRfSsoiX+UYAjO7a6S3zpPToWlXLkSlhbsWeLmJ8XUVOwkb7/9LkQ8ULezjppzajj6oaOk5p3rKikoiXvUVQqNXLtKJbdUePI6RHnVXVJYkjJnjKHzTzuZPTpL39ecm6ukoCT+EoKukt+EYgiuEF6GqGK7S8UcV6SM1V9UT/WWao7+w1Fs0pl1lRSUxF0+ndjtJj+GqVANwTmhVMFJYUmkpIwxtF/VzsyBGU7/5LQj+1RQEvf5cMXuIHWVdjt0dVUnglA+Q3C+D0uLuRmcCt2nwpJIQZqe0USsM8bxG487sj/PgpIxZq0x5hfGmL3GmIeMMW/NbG8xxtxujHkk87U5s90YYz5ljDlgjNljjLlg0b6uzjz+EWPM1V69JnGQE0NwReSZYi+W61SYWghJuzN/3ObkEBwELCwt5kZoUlgSKQkTNbRd2cboL0cZ3z1e9P687CglgHdYa7cDFwHXGWO2A+8C7rDWbgHuyPwM8FxgS+Z2LfA5SAcr4HrgKcCFwPUL4Up8xIdDcMWs1u3V8FqxYanU85UgwGFpgZOBSWFJpCRaX9BKpCrCyc+cLHpfngUla+0pa+29me/HgX1AN3AFcGvmYbcCV2a+vwL4qk27E2gyxnQBzwFut9YOWWuHgduBy0v4UiRXIRuCW4lbYaoUYclpgQ9L4FxgUlgScV20Lkrj0xvp/04/yalkUfvyxRwlY8x64EnAXUCntfZU5q5eoDPzfTeweMCxJ7Mt2/aljnOtMWaXMWbXwMCAY/WLizweglt+t95N2nZ7GM7prhKEJCyBM4GpkH0oLMkyFn++DQ4Pel2OL7Rc3kJyLMngvxb3+/A8KBlj6oDvAX9lrR1bfJ+11gLOnN+X3t9N1tqd1tqd7e3tTu1W8hGwIbhiJ3a7GaaKCUteDMFBiMISOBeY8qGwJFks/nxra27zuhxfqH1iLfFV8aJX6vY0KBljYqRD0tettd/PbO7LDKmR+dqf2X4CWLvo6Wsy27JtF7/SEFzOzl8hJfohLOUrVGEJig9MpQxLImXERAxNz2xi+OfDzI/MF7wfL896M8AtwD5r7ScW3fUjYOHMtauBHy7a/trM2W8XAaOZIbrbgMuMMc2ZSdyXZbaJn+WbHXx8FpzX6yaV4my45RSyanfowhIEIyypqyRlpuGiBkjC8H8MF7wPLztKFwN/CjzTGLM7c3se8GHg2caYR4BnZX4G+ClwCDgA3Ay8GcBaOwR8ALg7c7shs03CJsBnwbnZVSqGV0NwEOKwVGgYUVgScVzN9hqiDdGiFp/08qy3/7bWGmvtDmvt+ZnbT621p621l1prt1hrn7UQejJnu11nrd1krX2CtXbXon19yVq7OXP7slevSfIUsvlKKwlyWMqFwtIiCksivmCihvo/qGfoZ0Okpz3nz/PJ3FLmQjRfKZcg5NewtBI3lxQIdVgq5NemsCTiqNon1DLfP8/s8dmCnq+gJN7TfKWcnZ/lT7G8HIKDEIclUFgS8Vj1lmoAxu8tbJVuBSUJpjKdrxQECktLUFgS8Uz1pmqIwsQ9hb3HKCiJP4RsvlIQw5JXywUsNnFgIryBqRRhSUQeJ1IZoXJNJZN7Jwt7vsP1iBQuZGFpJX4MS04ptKu0QGGpwOeoqySypFhLjLn+uYKeq6Ak/qLJ3Z5ysquksJRFIZO8FZZEilLRVMF8b2GLTiooif/4cHJ3OYWlXJTqwroaiivw8QpLIo9R0VShjpKUOZeH4EBhqRDFdpUWOBmYFvaVy811fgxLIiFk4gY7p3WUJEx8OF9pJWEJS7l2i0o1BLdYISGmmPBTkuDkty6O3+oRcYCds0SqC4s8CkriXz4MSystGxCWsBQEXnSFXAtM+YQTDcGJ5C01l8LETUHPVVASf1NY8jUvukp+4PncKYUlkbykZlNEq6MFPVdBSfxPYankSjVZO+gcDUyaryTimrmTc1RtqCrouQpKEgxeLRvgcVjyOjA5KWxdpcU8C0tu81s9IgWw1jLbM0vN2TUFPV9BScIr12UDfByW8nmcV9R9SnOsu6T5SiKOSo4mSY4lqT67uqDnKyhJcLg1BJfLvl0MS0EYinNKmLtKC0IZlkQCbGr/FAC159UW9HwFJQmWEIal9K7LbyguzEIXltRVkgAbv3ucSFWExosbC039yOoAAByqSURBVHq+gpIETxmHpXweV0r5DL+VQ1cJQngJFoUlCajxXeM0PqNRZ71JmVFY8mVgkscqOiz5qaskEkBzvXPMHp2l5TktBe9DQUmCy8dhqdDLnaR3nfsLcyswuR3CyqWrBCELS+oqScAM3TYEQNuVbQXvQ0FJgs2nYQkKvzZcetf5BSB1mPwtVMNwCksSEDZpGfrpEM2XNVO9obAz3kBBScIgwGHJye7SwuOLDUwKXD7kp66SSECM/3ac+f55Vr9xdVH7UVCScAhoWALnu0uLn6OulH+UtKvkdtdHXSUJgIHvDRBbFaP1ha1F7UdBScIjxGEpfYjCQsyOM/5ku1/cV1RYciucaCFKCaGJ3RNM3DPBur9eRyRWXNRRUJJwUVjKaR+FdJycVk4Tuh2jITiRFVlr6f1SL/HVcVa/ubhhN1BQkjDyOiwVeUacG0NxIq5QV0l8aPy340w+MMlZ7z2r4LWTFlNQknDyMizl8BinuksKTMETquUCRHwmNZfi5KdPUrWxiq5ruhzZp4KShFcZhKX0YRSYxEPqKomP9H+tn9meWbZ+fiuRuDMRR0FJwi0EYSmfwOQVBTUfU1dJysTMkRn6v9lPx6s7aHl24Stxn0lBScLP7bDkwCTvcuwu5fqawqikw2+l4Ld6pOzYpKXn4z1EG6Js/sRmR/etoCTlodCwVKJJ3uB8d6lUgSkowayslaKrpLAkHur7ah+TD06y5VNbiHfEHd23gpKUj0I/z0s8FOdGYHIrzCgkeUjBRARIr5nU97U+Ol/bSeerOx3fv4KSlJcAhCVYubsE+Q9dOR2aFJJCTF0lCYjEaIJj/3CM6o3VbPnMFleOUeHKXkX8bAeFvaGfT24fIAv5Yblj5PCYus11K85lWQhL+S7euDjk7Mnjl+FUOCrn+Ume2UPh/6Mg4kM2aTn298dIjCTY8bMdVNS5E2kUlKQ8uR2Wcj3GCo9Z6Cy5FZjSJYTv0zNbR66k11tbRi4dQ8/tJvdO6mIKZFIip24+xfjd42y9aSv1F9S7dhwNvUn5cnsYLtdjODQUB+XdqVmY37Xc7yqXxwRKvmFfQ2MSEkP/McTAtwdYfd1qVr+h+MuULEdBScpbMWHJ6XlLDkz0hvwme3vBjdoKCT6hC01+okAmLpraN0XPx3touqSJzTc6uxTAUhSURIoZJnByvaUcawlyYHK6HqeCTilDU6CCmRagFJ+ZPTHL4b89TOXqSrZ/ZzuRmPsxRkFJBEoTlnI9To6hKp/hOD+EJjdCkhvcDE2BCknFUldJHDY/PM+hdx6CCOy4bQfxNmfXS8pGQUlkQa5dn6U4HZZyfFy+H+heBaaghKSljuNk18oX8g0w6iqJDySnkxx5zxESpxM84d+eQM3WmpIdW2e9iZypmDPiwLklBPJ4XK5nxy1YHFwKOVMuH0ENSSsdN5fftW/CkUiApeZTHLvhGFMPT3He98+j8amNJT2+gpLIUgoNS+D8EgJ5PC6XtZfO5FZo8sukbbf4qRbf0lIBUiSbtBz7h2OM3TnG1i9spe2KtpLXoKAkkk0pwxI5HMul7tJiZ4abfIOTm8N6CiYeKnRNJZEiWGvp+UQPo78cZePHNrL6WneXAchGQUlkOcWGJfC0uwTFLbLo9QTwBQpJDitlp0ddJSmAtZaTnz3J0E+HOOu9Z7Hur9d5Vosmc4uspJhJ3uDeRO8cHxvktYKCXLuIFMZaS+8tvQx+d5Dut3Sz/ob1ntajoCSSq1KGJQWmQNUqIs7pu7WP/q/30/WGLjb/02aMMZ7Wo6Akko9iw5Ib3aU8HxuEFan9XJuvlHJIq5hlArSmkuSo72t99N3ax6rXrWLr57diIt6GJFBQEslfsR9OPuguLfBbYPJbPSJSOv3f7Kf3ll46/7STs28+2xchCTSZW6QwuZ6plk0+Z8Xle7wCalscToqZ/F0ohSOR8tb3jT56b+6l45UdbPvyNkzUHyEJ1FESKU4ph+LyPV6Bk9BLfd0zhaQCBe1MMg2/SRZ9X8+EpFd1sO2r/gpJoI6SSPGKWUIA3O0uFfL4RQpZjTrffYpI+er7Wh+9t2RC0q3biFT4r3+joCTiBCfCEuQfmPI5ZrHDhawcciYOTCgIlYJX3SQtPCkOejQkvbqDc249x3edpAX+i24FMsZcbozZb4w5YIx5l9f1SBkqdr0lKGwoLt9jOlFnFgpJJRC0IbfFNPwmGb239qYnbr+m09chCULSUTLGRIHPAM8GeoC7jTE/stbu9bYyKUtedZfI87gOdJgC5cyAEcTXHeSQJJLR+5Ve+m7to/O1nWz7kv/mJJ0pFEEJuBA4YK09BGCM+RZwBaCgJN4oNixB/nOXFo5Lnsde/OEbxPBwpnyWU8jGj78HJ0OSApd4wFpL35f76PvnPlb9n1Wc/cWzfR+SIDxBqRs4vujnHuApZz7IGHMtcC3AunXeXTdGyoQTHZtCuksLxy7kuEHtMjn9wb/U/rz8nSjYyAoWf76t7VrrcTWP95iQ9PpVvlonaSWhmaOUC2vtTdbandbane3t7V6XI+XCiQ+5QibQFjMXaQeuzmVyRKlr3IF3xwyToIXwgFj8+dbW3OZ1OY/xmJB0TbBCEoSno3QCWByh12S2ifiD192lYo7tl6E5vwWGbPUU8zvy22sUKdLjQtJNwQpJEJ6gdDewxRizgXRAugp4lbcliSzBqblLUPrAtHgfC9wOTkEMDn6v2e/1SagEPSRBSIKStTZhjPkL4DYgCnzJWvuQx2WJLM2peUCFTPZ28viL97WYOioiAvR9NfghCUISlACstT8Ffup1HSI587K7tHB8HKgh237Ff/R3IyXS940+er/cS+fVnYEOSVBmk7lFfMepD65Crhu3uIYwThoW/9KE7lDr/07/76/ddsu2QIckUFAS8Z6TIaWYwOR0LeIv+nuVEhj810FOfe4U7a9oZ9ut/l9MMhcKSiJ+4XRgKoYCU7jo71JKYOg/hjjxyRO0vrCVc752ji8vcFuIcLwKkTDxS3cJNCwXBk7+3emCuJLF6H+Ncvyjx2l6ZhPbv7OdSCw88SI0k7lFQsXJidbFTPhezC/rKUnuFHClBMbvGefoB45S/+R6zvvheUSrol6X5KjwRD6RMHK6G+BUR0CdJv/T342UwNT+KY78vyPUnF3Djn/fQUVd+Pov4XtFImHj9Gn8TnWYFpR6EcpcOREU/PJa8qWQJCUwe2KWw+8+TKwjxo7bdhBriXldkisUlESCwol1lxZzOjAtKOUFZd0OBG5cpsRNbv4+ND9JFpkfnufQOw9BBJ542xOpXF3pdUmuUVASCRI3Fol0KzAtFrYORynDYC7C9vsVX0tOJzn8nsMkhhI88edPpObsGq9LcpWCkkgQBTUwhVmpw1Mpw5G6SZJhU5bjHzrO9MPTnPfD82i8qNHrkv7/9u49yM66vuP4+5vdsAkhcZNwMXK3gBipKEZKre14GwRLi53SKVYHvNVetLdpR0E6ajvaViu145XiYAWrRaU6YkdF8FJqpyBIDRcViVwkMSEhIYGEhN3sfvvH+UUP6z6bJTnnPOc8+37NPLNnf89zzvP7nicn57O/59Z1BiVpkHV6dxw8/kvR0LR/ZgozT3S7OWqkPrDhsg1s++9tHPfPx3HwWQfX3Z2eMChJg65b92wDR5m6aVCCj6NJKrZ8ZQsbP7WRFX+wgsP/9PC6u9MzXh5Aaopunq7fyUsLSBo4O763g7UXr2X0xaMc/4HjiRj8W5PMliNKUtP0YoQJHGWaCwzHAsa3jHPf2+9j5MgRnvGZZzTqqtuzYVCSmqobxy+1MzQ1myFJQE4k9/3tfUzsmODk605u7LWSZmJQkpqsm6NL7QxNzdLtkDQox2eJ9ZeuZ8fqHZz4iRM56OSD6u5OLQxK0lzQq8AEhqZB50iSiof/92E2fWYTT3njU3jyq55cd3dqY1CS5pJeBib4+S9dg1N/MySpGN88zv3vuZ9FJy/iuIuPq7s7tTIoSXNRrwPTHtN9ERue+oMhSUVOJj/++x8z+dgkK69cybyRuXXw9lQGJWkuqyswtZvpC3p/Q9T+fvnPlRDXy5Dk8Ul9b9NVm9j+ne2ccOkJLDpxUd3dqZ1BSVJ/BKbp1D3K0c0Q1w/qfn/Vd3b9eBcbLtvA8rOXs+L1K+ruTl8wKEn6mX4NTP2oKmQMQoAyIGkaOZmsfe9ahg4c4oSPnDCnLio5E4OSpJ9nYNp3/XwcVt0Byd1ufW3zFzaz47YdnPjxExlZMVJ3d/qGQUlSNQNTZ9QZnuoORxoI45vGWf/R9Sw9YymHnXdY3d3pKwYlSXtnYOq8bhz/1M+hyNGkvvaTS35CTiYnfNhdblMZlCTNXvuXnaGpe/o58Khxtq/eztavb+Xotx3NwmMX1t2dvjO3L44gad89E0cJNDv+O+lbOZGse/86Ro4a4ai3HFV3d/qSI0qS9o+jTNLAeuirD7Hr7l2s/OxKhg4cqrs7fckRJUmd4yiTpvLfQ9+aHJtkw+UbWLxqMYf89iF1d6dvOaIkqfMcZRIYkvrc5qs3M/7AOE//t6d7APcMDEqSusvQJPWdyV2TbPzURkZfNMqylyyruzt9zaAkqXcMTXOHo0l9bcuXt7D7od0c8zfH1N2VvmdQklSPqV+kBqfmMCT1tZxINn12E0uet4TR54/W3Z2+Z1CS1B8MTs1gSOp7W7+xlbH1Y5xwyQl1d2UgGJQk9aeqL1wDVP8yJA2ETVdtYuHTFrL8rOV1d2UgGJQkDZa9fRkbpHrPgDQwHr3zUXbeuZPjPnAcMc8z3WbDoCSpWTr9pW3wmpkhaaBs/uJm5i2cx2Gv8sa3s2VQkqSZzDYIzLVAZUAaOBM7Jtj69a0c+opDmT86v+7uDAyDkiR1wlw6psqQNJC2Xb+NyZ2TrHj9irq7MlAMSpLUTdOFikENTwakgbb161tZcOwClpy2pO6uDBSDkiT12iCFJ8NRI4xvGeeRWx7hqAuP8nYlT5BBSZL6Qb+FJwNSo2z7r20wCYf9ngdxP1EGJUnqVzOFlU6GKENR4237n20sfNpCFq1cVHdXBo5BSZIGkeFGszSxY4Idq3dwxF8cUXdXBtK8ujsgSZK655GbHyF3p1fi3kcGJUmSGuyRGx9heHSYJc/zbLd9YVCSJKnBtq/ezugLRpk37Ff+vvBdkySpocY2jDH2kzFGXzhad1cGlkFJkqSG2v7d7QAGpf1gUJIkqaF23L6D4aXDLHqGlwXYV7UEpYj4x4j4QUTcGhGfj4jRtnkXRsSaiLgzIl7a1n5GaVsTERe0tR8bETeW9k9HxAG9rkeSpH706A8eZfGpi4l5Xo17X9U1onQtcFJmPhP4IXAhQESsBM4FngGcAXw4IoYiYgj4EHAmsBJ4RVkW4N3A+zLzOOAh4HU9rUSSpD40sXOCXffsYsmpnu22P2oJSpn51czcXX69AdhzFayzgSsz87HMvAdYA5xapjWZeXdmjgFXAmdH64Y1LwKuKs+/HHh5r+qQJKlf7bxrJ0zC4lMX192VgdYPxyi9FvhyeXw4cH/bvLWlrap9ObC1LXTtaZ9WRLwhIm6OiJs3bdrUoe5LklSv9u+3Bx96EIBdP9oFwOJnG5T2R9eCUkRcFxG3TzOd3bbMRcBu4JPd6ke7zLw0M1dl5qpDDjmkF6uUJKnr2r/fDl56MAA7797J8NJhDniKh+7uj67d6y0zXzLT/Ih4NXAW8OLMzNK8DjiybbEjShsV7ZuB0YgYLqNK7ctLkjRn7bpnF4ueuYjWUSraV3Wd9XYG8GbgNzPz0bZZVwPnRsRIRBwLHA98G7gJOL6c4XYArQO+ry4B6xvAOeX55wNf6FUdkiT1o8xk1727WHSSlwXYX10bUdqLDwIjwLUl6d6QmX+YmXdExGeA79HaJffGzJwAiIg3AdcAQ8DHMvOO8lpvAa6MiHcC/wdc1ttSJEnqL7sf2s3kjkkOPOHAursy8GoJSuVU/qp57wLeNU37l4AvTdN+N62z4iRJEvDYuscAWHj8wpp7Mvj64aw3SZLUQWNrxwCDUicYlCRJapix9WMwDxYcvaDurgw8g5IkSQ0z9sAYI08ZYd58v+b3l++gJEkNM7ZxjJGjR+ruRiMYlCRJapjxjeMsOMrdbp1gUJIkqWHGN48zcrgjSp1gUJIkqUFyIsnHkgOe7K1LOsGgJElSg+Tu1l3BDlhhUOoEg5IkSQ3y06B0mEGpEwxKkiQ1SE60gtL8g+fX3JNmMChJktQgBqXOMihJktQkE60fw8vruu99sxiUJElqkJxI5i2cx9CCobq70ggGJUmSGiQnkuEnOZrUKQYlSZKaZAKGRw1KnWJQkiSpQXIyGRp1t1unGJQkSWqQnEyGFzui1CkGJUmSmmQShg5yRKlTDEqSJDVITiZDiw1KnWJQkiSpSSZhaJFBqVMMSpIkNckkzDvQr/dO8Z2UJKlBMpOhAx1R6hSDkiRJDTNvoV/vneI7KUlSg8xfNp+DnnlQ3d1oDIOSJEkNsuDYBSz/9eV1d6MxDEqSJEkVDEqSJEkVDEqSJEkVDEqSJEkVDEqSJEkVDEqSJEkVDEqSJEkVDEqSJEkVDEqSJEkVDEqSJEkVDEqSJEkVDEqSJEkVDEqSJEkVDEqSJEkVhuvuQCMcWncHJElSNziiJEmSVMGgJEmSVMGgJEmSVMGgJEmSVMGgJEmSVMGgJEmSVMGgJEmSVMGgJEmSVMGgJEmSVMGgJEmSVMGgJEmSVKHWoBQRfxkRGREHl98jIt4fEWsi4taIOKVt2fMj4q4ynd/W/pyIuK085/0REXXUIkmSmqe2oBQRRwKnAz9uaz4TOL5MbwA+UpZdBrwd+CXgVODtEbG0POcjwO+3Pe+MXvRfkiQ1X50jSu8D3gxkW9vZwBXZcgMwGhErgJcC12bmlsx8CLgWOKPMW5KZN2RmAlcAL+9tGZIkqalqCUoRcTawLjNXT5l1OHB/2+9rS9tM7Wunaa9a7xsi4uaIuHnTpk37UYEkSf3D77fuGe7WC0fEdcCTp5l1EfBWWrvdeiozLwUuBVi1alXuZXFJkgaC32/d07WglJkvma49In4ROBZYXY67PgK4JSJOBdYBR7YtfkRpWwe8YEr7N0v7EdMsL0mStN96vustM2/LzEMz85jMPIbW7rJTMnMDcDVwXjn77TRgW2auB64BTo+IpeUg7tOBa8q8hyPitHK223nAF3pdkyRJaqZoHQNdYwci7gVWZeaDJex8kNaZa48Cr8nMm8tyr6W1yw7gXZn5r6V9FfBxYCHwZeBPchZFRcQm4L7OVlPpYODBHq2rl6xrcDSxJrCuQdLEmqC7dT2YmU/4TO6I+Mq+PE/Tqz0ozQURcXNmrqq7H51mXYOjiTWBdQ2SJtYEza1LP+OVuSVJkioYlCRJkioYlHrj0ro70CXWNTiaWBNY1yBpYk3Q3LpUeIySJElSBUeUJEmSKhiUJEmSKhiUZikifici7oiIyXLtpvZ5F0bEmoi4MyJe2tZ+RmlbExEXtLUfGxE3lvZPR8QBpX2k/L6mzD9mb+vocI3viIh1EfHdMr2slzXWraqWfhIR90bEbWX77LnG2LKIuDYi7io/l5b2iIj3l3pujYhT2l7n/LL8XRFxflv7c8rrrynPjS7V8bGI2BgRt7e1db2OqnV0ua6B/lxFxJER8Y2I+F60/g/8s9I+0NtrhroGenupCzLTaRYT8HTgabRunbKqrX0lsBoYoXVrlh8BQ2X6EfBU4ICyzMrynM8A55bHlwB/VB7/MXBJeXwu8OmZ1tGFGt8B/NU07V2vse5pplr6aQLuBQ6e0vYe4ILy+ALg3eXxy2hdhDWA04AbS/sy4O7yc2l5vLTM+3ZZNspzz+xSHb8GnALc3ss6qtbR5boG+nMFrKB19wSAxcAPS98HenvNUNdAby+nzk+OKM1SZn4/M++cZtbZwJWZ+Vhm3gOsAU4t05rMvDszx4ArgbPLX0ovAq4qz78ceHnba11eHl8FvLgsX7WOXulFjXWbtpaa+zRb7e/p1Pf6imy5ARiNiBXAS4FrM3NLZj4EXAucUeYtycwbsvU/+BVtr9VRmXk9sKWGOqrW0c26qgzE5yoz12fmLeXxI8D3gcMZ8O01Q11VBmJ7qfMMSvvvcOD+tt/Xlraq9uXA1szcPaX9ca9V5m8ry1e9Vje8qQyXf6xtmLsXNdatl+/x/kjgqxHxnYh4Q2k7LFv3PQTYABxWHj/R7XZ4eTy1vVd6UUfVOrqtEZ+rsovo2cCNNGh7TakLGrK91BkGpTYRcV1E3D7NNCgjC3u1lxo/AvwC8CxgPXBxrZ3VdJ6fmacAZwJvjIhfa59Z/iIf+Gt+9KKOHr5XjfhcRcRBwH8Af56ZD7fPG+TtNU1djdhe6pzhujvQTzLzJfvwtHXAkW2/H1HaqGjfTGsoerj8JdG+/J7XWhsRw8CTyvIzreMJmW2NEfFR4D+n9Gu69Xeqxrp17D3upsxcV35ujIjP0xr2fyAiVmTm+rIbY2NZvKqmdcALprR/s7QfMc3yvdKLOqrW0TWZ+cCex4P6uYqI+bTCxCcz83OleeC313R1NWF7qbMcUdp/VwPnlrMYjgWOp3Vg4k3A8eWshwNoHbB3dfmr6BvAOeX55wNfaHutPWeCnAN8vSxftY6OKv8R7fFbwJ4zd3pRY92mraXmPj1ORCyKiMV7HgOn09pG7e/p1Pf6vGg5DdhWdmNcA5weEUvLboXTgWvKvIcj4rRyvMR5ba/VC72oo2odXTPon6vyHl4GfD8z/6lt1kBvr6q6Bn17qQuyD44oH4SJ1gdmLfAY8ACtD/ieeRfROuvhTtrOEqJ19scPy7yL2tqfSusDtgb4LDBS2heU39eU+U/d2zo6XOMngNuAW2l9kFf0ssa6p6pa+mUq7+nqMt2xp4+0jm34GnAXcB2wrLQH8KFSz208/mzN15ZtsAZ4TVv7KlpfDD8CPki5en8Xavl3Wrs1xsvn6nW9qKNqHV2ua6A/V8Dzae3yuhX4bpleNujba4a6Bnp7OXV+8hYmkiRJFdz1JkmSVMGgJEmSVMGgJEmSVMGgJEmSVMGgJEmSVMELTkpzXES8A9gOLAGuz8zruriut2bm33Xr9SWp07w8gDTH7QlKmfneHqxre2Ye9ASfM5SZE93qkyTNxF1v0hwUERdFxA8j4lvA00rbxyPinPL4bRFxU7kP4KXlKsZExDcj4n0RcXNEfD8inhsRn4uIuyLinW2v/6qI+HZEfDci/iUihiLiH4CFpe2TVcuV9u0RcXFErAZ+ucdvjyT9lEFJmmMi4jm0brPwLFpXFH7uNIt9MDOfm5knAQuBs9rmjWXmKuASWrdkeCNwEvDqiFgeEU8Hfhf4lcx8FjABvDIzLwB2ZuazMvOVVcuVdSwCbszMkzPzW519ByRp9jxGSZp7fhX4fGY+ChAR093T7oUR8WbgQGAZrVumfLHM27P8bcAd2bpXFxFxN60bfT4feA5wUxmIWsj0NzN98QzLTdC6Wakk1cqgJOlxImIB8GFa9+i6vxzDtKBtkcfKz8m2x3t+H6Z1r6/LM/PCva1qhuV2eVySpH7grjdp7rkeeHlELIyIxcBvTJm/JxQ9GBEH8bO7n8/W14BzIuJQgIhYFhFHl3njETF/FstJUl9wREmaYzLzloj4NLCa1q6um6bM3xoRH6V1N/cNU+fP4vW/FxF/DXw1IuYB47SOY7oPuBS4NSJuKccpVS0nSX3BywNIkiRVcNebJElSBYOSJElSBYOSJElSBYOSJElSBYOSJElSBYOSJElSBYOSJElShf8H4ZRvGVugdnMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 576x576 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.jointplot(planets_df.diameter, planets_df.density, kind='kde', color=\"m\", title='Hello', height = 8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1257d59b0>"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x324 with 9 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "grid = sns.FacetGrid(planets_df, col=\"planet\", hue=\"mass\", palette=\"tab20c\",\n",
    "                     col_wrap=4, height=1.5)\n",
    "grid.map(plt.plot, \"mass\", \"diameter\", marker=\"o\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "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>planet</th>\n",
       "      <th>name</th>\n",
       "      <th>gm</th>\n",
       "      <th>radius</th>\n",
       "      <th>density</th>\n",
       "      <th>magnitude</th>\n",
       "      <th>albedo</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Earth</td>\n",
       "      <td>Moon</td>\n",
       "      <td>4902.801±0.001</td>\n",
       "      <td>1737.5±0.1</td>\n",
       "      <td>3.344±0.005</td>\n",
       "      <td>-12.74</td>\n",
       "      <td>0.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Mars</td>\n",
       "      <td>Phobos</td>\n",
       "      <td>0.0007112±0.0000010</td>\n",
       "      <td>11.1±0.15</td>\n",
       "      <td>1.872±0.076</td>\n",
       "      <td>11.4±0.2</td>\n",
       "      <td>0.071±0.012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Mars</td>\n",
       "      <td>Deimos</td>\n",
       "      <td>0.0000985±0.0000024</td>\n",
       "      <td>6.2±0.18</td>\n",
       "      <td>1.471±0.166</td>\n",
       "      <td>12.45±0.05</td>\n",
       "      <td>0.068±0.007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Jupiter</td>\n",
       "      <td>Io</td>\n",
       "      <td>5959.916±0.012</td>\n",
       "      <td>1821.6±0.5</td>\n",
       "      <td>3.528±0.006</td>\n",
       "      <td>5.02±0.03</td>\n",
       "      <td>0.63±0.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Jupiter</td>\n",
       "      <td>Europa</td>\n",
       "      <td>3202.739±0.009</td>\n",
       "      <td>1560.8±0.5</td>\n",
       "      <td>3.013±0.005</td>\n",
       "      <td>5.29±0.02</td>\n",
       "      <td>0.67±0.03</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    planet    name                   gm      radius      density   magnitude  \\\n",
       "0    Earth    Moon       4902.801±0.001  1737.5±0.1  3.344±0.005      -12.74   \n",
       "1     Mars  Phobos  0.0007112±0.0000010   11.1±0.15  1.872±0.076    11.4±0.2   \n",
       "2     Mars  Deimos  0.0000985±0.0000024    6.2±0.18  1.471±0.166  12.45±0.05   \n",
       "3  Jupiter      Io       5959.916±0.012  1821.6±0.5  3.528±0.006   5.02±0.03   \n",
       "4  Jupiter  Europa       3202.739±0.009  1560.8±0.5  3.013±0.005   5.29±0.02   \n",
       "\n",
       "        albedo  \n",
       "0         0.12  \n",
       "1  0.071±0.012  \n",
       "2  0.068±0.007  \n",
       "3    0.63±0.02  \n",
       "4    0.67±0.03  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "satellites_df = pd.read_csv('data/satellites.csv')\n",
    "satellites_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x124ee1828>"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sat_planet_df = satellites_df.groupby('planet')\n",
    "sat_planet_df['name'].count().plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}