{ "cells": [ { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "# Multivariate Visualizations" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Up until now, we’ve discussed how to visualize single-feature distributions. Now, let’s understand how to visualize the relationship between more than one features.\n", "\n", "We will continue to use the World Bank dataset, which contains information from 2015/16 about countries around the world. We will use the same features as before: GDP per capita, life expectancy, and population. " ] }, { "cell_type": "code", "execution_count": 115, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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ContinentCountryPrimary completion rate: Male: % of relevant age group: 2015Primary completion rate: Female: % of relevant age group: 2015Lower secondary completion rate: Male: % of relevant age group: 2015Lower secondary completion rate: Female: % of relevant age group: 2015Youth literacy rate: Male: % of ages 15-24: 2005-14Youth literacy rate: Female: % of ages 15-24: 2005-14Adult literacy rate: Male: % ages 15 and older: 2005-14Adult literacy rate: Female: % ages 15 and older: 2005-14...Access to improved sanitation facilities: % of population: 1990Access to improved sanitation facilities: % of population: 2015Child immunization rate: Measles: % of children ages 12-23 months: 2015Child immunization rate: DTP3: % of children ages 12-23 months: 2015Children with acute respiratory infection taken to health provider: % of children under age 5 with ARI: 2009-2016Children with diarrhea who received oral rehydration and continuous feeding: % of children under age 5 with diarrhea: 2009-2016Children sleeping under treated bed nets: % of children under age 5: 2009-2016Children with fever receiving antimalarial drugs: % of children under age 5 with fever: 2009-2016Tuberculosis: Treatment success rate: % of new cases: 2014Tuberculosis: Cases detection rate: % of new estimated cases: 2015
0AfricaAlgeria106.0105.068.085.096.092.083.068.0...80.088.095.095.066.042.0NaNNaN88.080.0
1AfricaAngolaNaNNaNNaNNaN79.067.082.060.0...22.052.055.064.0NaNNaN25.928.334.064.0
2AfricaBenin83.073.050.037.055.031.041.018.0...7.020.075.079.023.033.072.725.989.061.0
3AfricaBotswana98.0101.086.087.096.099.087.089.0...39.063.097.095.0NaNNaNNaNNaN77.062.0
5AfricaBurundi58.066.035.030.090.088.089.085.0...42.048.093.094.055.043.053.825.491.051.0
\n", "

5 rows × 47 columns

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" ], "text/plain": [ " Continent Country \\\n", "0 Africa Algeria \n", "1 Africa Angola \n", "2 Africa Benin \n", "3 Africa Botswana \n", "5 Africa Burundi \n", "\n", " Primary completion rate: Male: % of relevant age group: 2015 \\\n", "0 106.0 \n", "1 NaN \n", "2 83.0 \n", "3 98.0 \n", "5 58.0 \n", "\n", " Primary completion rate: Female: % of relevant age group: 2015 \\\n", "0 105.0 \n", "1 NaN \n", "2 73.0 \n", "3 101.0 \n", "5 66.0 \n", "\n", " Lower secondary completion rate: Male: % of relevant age group: 2015 \\\n", "0 68.0 \n", "1 NaN \n", "2 50.0 \n", "3 86.0 \n", "5 35.0 \n", "\n", " Lower secondary completion rate: Female: % of relevant age group: 2015 \\\n", "0 85.0 \n", "1 NaN \n", "2 37.0 \n", "3 87.0 \n", "5 30.0 \n", "\n", " Youth literacy rate: Male: % of ages 15-24: 2005-14 \\\n", "0 96.0 \n", "1 79.0 \n", "2 55.0 \n", "3 96.0 \n", "5 90.0 \n", "\n", " Youth literacy rate: Female: % of ages 15-24: 2005-14 \\\n", "0 92.0 \n", "1 67.0 \n", "2 31.0 \n", "3 99.0 \n", "5 88.0 \n", "\n", " Adult literacy rate: Male: % ages 15 and older: 2005-14 \\\n", "0 83.0 \n", "1 82.0 \n", "2 41.0 \n", "3 87.0 \n", "5 89.0 \n", "\n", " Adult literacy rate: Female: % ages 15 and older: 2005-14 ... \\\n", "0 68.0 ... \n", "1 60.0 ... \n", "2 18.0 ... \n", "3 89.0 ... \n", "5 85.0 ... \n", "\n", " Access to improved sanitation facilities: % of population: 1990 \\\n", "0 80.0 \n", "1 22.0 \n", "2 7.0 \n", "3 39.0 \n", "5 42.0 \n", "\n", " Access to improved sanitation facilities: % of population: 2015 \\\n", "0 88.0 \n", "1 52.0 \n", "2 20.0 \n", "3 63.0 \n", "5 48.0 \n", "\n", " Child immunization rate: Measles: % of children ages 12-23 months: 2015 \\\n", "0 95.0 \n", "1 55.0 \n", "2 75.0 \n", "3 97.0 \n", "5 93.0 \n", "\n", " Child immunization rate: DTP3: % of children ages 12-23 months: 2015 \\\n", "0 95.0 \n", "1 64.0 \n", "2 79.0 \n", "3 95.0 \n", "5 94.0 \n", "\n", " Children with acute respiratory infection taken to health provider: % of children under age 5 with ARI: 2009-2016 \\\n", "0 66.0 \n", "1 NaN \n", "2 23.0 \n", "3 NaN \n", "5 55.0 \n", "\n", " Children with diarrhea who received oral rehydration and continuous feeding: % of children under age 5 with diarrhea: 2009-2016 \\\n", "0 42.0 \n", "1 NaN \n", "2 33.0 \n", "3 NaN \n", "5 43.0 \n", "\n", " Children sleeping under treated bed nets: % of children under age 5: 2009-2016 \\\n", "0 NaN \n", "1 25.9 \n", "2 72.7 \n", "3 NaN \n", "5 53.8 \n", "\n", " Children with fever receiving antimalarial drugs: % of children under age 5 with fever: 2009-2016 \\\n", "0 NaN \n", "1 28.3 \n", "2 25.9 \n", "3 NaN \n", "5 25.4 \n", "\n", " Tuberculosis: Treatment success rate: % of new cases: 2014 \\\n", "0 88.0 \n", "1 34.0 \n", "2 89.0 \n", "3 77.0 \n", "5 91.0 \n", "\n", " Tuberculosis: Cases detection rate: % of new estimated cases: 2015 \n", "0 80.0 \n", "1 64.0 \n", "2 61.0 \n", "3 62.0 \n", "5 51.0 \n", "\n", "[5 rows x 47 columns]" ] }, "execution_count": 115, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import pandas as pd \n", "import seaborn as sns \n", "from matplotlib import pyplot as plt\n", "\n", "sns.set_style('whitegrid')\n", "\n", "data = pd.read_csv('https://raw.githubusercontent.com/fahadsultan/csc272/main/data/world_bank.csv', index_col=0)\n", "data.head()" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Distribution of a numeric feature w.r.t a categorical features \n", "\n", "Let’s start by visualizing the distribution of a numeric feature, across the categories defined by a categorical feature. In other words, we want to visualize the distribution of a numeric feature, separately for each category of another categorical feature.\n", "\n", "### Overlaid Histograms (1 numeric, 1 categorical)\n", "\n", "We can use a histogram to visualize the distribution of a numeric variable. To visualize how this distribution differs between the groups created by another categorical variable, we can create a histogram for each group separately.\n", "\n", "In order to create overlaid histograms, we will continue to use `sns.histplot`. The only addition we need to make is to use the **`hue` argument to specify the categorical feature** that defines the groups." ] }, { "cell_type": "code", "execution_count": 116, "metadata": {}, "outputs": [ { "data": { "image/png": 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4+flh165dUFdXh1QqhYWFBZYuXVru+iwtLeHm5oYJEyZALpejQYMG2LNnT7lP1PTs2RNubm7cVT/lKbdbt274+eefMXPmTLi6un60rtDQULRp0wa9e/dWmD5t2jTY2toiMTFR6bg3btwIb29v2NvbQyKRwM7ODg4ODmV2Xbm4uODly5dwcnICYww9e/aEq6srmjdvDj8/P/j7+0MgEKB79+549uyZ0rEUGjVqFObMmYNdu3YBABo0aIBp06bBzc0NOjo60NDQgI+PDwDg8OHDSEhIwJo1axTK+PLLLxEQEIBNmzbBz88PderUgZaWFqZMmQJzc3MAwMqVKzFz5kzIZDLo6Ohg9+7d0NPTg4ODAy5cuIBhw4bB0NAQPXv25I4ue/fujQULFsDb2xvGxsYf3ZbDhw9jyJAhxb7gZ8yYgSlTpmDevHlKtYmWlhZ27tyJNWvWYN++fZBKpZgzZw5MTU1x5cqVUtebOXMm1qxZA0dHR8hkMgiFQgwbNgxpaWmYMWMG6tatC11dXZiZmZXrvdLS0sL27duxdu1a+Pn5QSAQYPv27WjYsCH8/f3h7e2NvLw8qKmpYd26dWjdujW++uormJmZwcbGBgYGBujVqxcePHjw0boGDRqEzZs3l/nLqqz26dixI65evQqhUIg6deqgadOmSn3OVE2NlfabhRBCCC98tl03hBDyuaBETwghPEeJnhBCeI4SPSGE8FyNu+pGLpcjOzsbAoHgozc9EEIIKcAYQ35+PurVq1fsirsal+izs7PLdckeIYSQ/zEyMoKenp7CtBqX6Avv1DMyMlK427IyJCQkoHPnzpVapqpRzKpX2+IFKOaqUptilkgkSExMLPFu5xqX6Au7a7S0tEocGfJTqaJMVaOYVa+2xQtQzFWltsVcUpc3nYwlhBCeo0RPCCE8V+O6bsqSmZmJ1NTUMsehKIumpibu3btXyVGpVnXGXK9ePbRo0aL6H5pACPkktSbRZ2ZmIiUlBc2bN0edOnUqdOlldnY26tWrp4LoVKe6YpbL5Xj58iXevHmj8AQuQkjtU2sO1VJTU9G8eXPUrVuXrq+vAurq6jA0NKzQM0sJITVLrUn0+fn53AMrSNUQCATlGg+dEFIz1ZpED5R82RBRHWpvQvihViV6VZHJZPj111/h5OQER0dHCIVCbNiwARKJpELliUQijB8/nnvt6OiIzMzMygq31HoIUYV8afFHVVZEWc8uLr3u8j01rLJU1jbXFLXmZKwqrVq1Cu/fv0dAQAD09PSQk5ODBQsWYOnSpdiwYUO5y3v//r3C4+eUeZ5sRXxYDyGqINBUx5KdFz+5HJFIVOzW/I9ZO92yUuour7XTLau8TlX67BP9ixcvEB4ejpiYGOjq6gIoeCDw6tWrcf36dYhEIqxevRr379+Hmpoa+vbti59++gmampro0qUL3N3dcfHiRaSmpmLy5Mn4/vvv4enpiby8PDg6OiIkJASdOnXCpUuXcPbsWURGRkJdXR1Pnz6Fjo4O1q9fjzZt2kAkEmHNmjVITExEfn4+zM3NsWjRIgBQuh4NDY3qbEpCSA312Xfd3LlzB23btuWSfCEDAwNYWVnBx8cH+vr6CA8PR3BwMB48eID/+7//A1AwtkT9+vURFBSEbdu2Yd26dRCLxVi3bh338OAPk29cXByWL1+OP//8E127dsXevXsBAGvXroWxsTFCQkJw/PhxZGRkcA/Srkg9hBBS6LM/oldXV4dcXnp/3Pnz53H48GGoqalBS0sLLi4uCAgIgLu7OwBg8ODBAABjY2NIJBLk5OSUWZ+xsTGaNGkCAOjUqRMiIyMBAGfPnsXt27dx7NgxAEBeXp7CeuWthxBCCn32id7ExASPHz9GVlaWwlF9SkoKli9fDrlcrnD1iVwuV7jksHDAo8JlPvasdR0dHe5/NTU1bnm5XA5/f3+0adMGQMENYkXrLW89hBBS6LPvujE0NIS9vT2WLFmCrKwsAEBWVhZWrVoFfX199OnTBwcPHgRjDBKJBH/88QcsLCzKLFNTUxMymaxcybhPnz44cOAAV8+0adNw8ODBSq+HEPL5+ewTPQCsXLkSbdu2hYuLCxwdHTFq1Ci0bdsWPj4+WLZsGdLT02Fvbw97e3u0bt0aU6dOLbM8AwMDmJiYwNbWFhkZGUrFsHTpUuTk5HD1GBkZYfLkyZVeDyHk8/PZd90ABUfGs2fPxuzZs4vN09LSwqZNm0pc78GDB6W+Lno0XjjdyckJTk5O3PSirxs0aFBiPRKJROl6CCGkJHRETwghPEeJnhBCeI4SPSGE8BwlekII4TlK9IQQwnOU6AkhhOco0RNCCM/V6kRf3jGjlX32qjLlvnjxAu3bt8fFi4pDqA4aNAgvXrz46PqzZs2Cvb29UvFUxO3bt7F06VKVlU8IqT1q9Q1T5R0nWyaTKTXKo7JjUQsEAixfvhxhYWHFRr8sS3p6Ou7evQsDAwNcv34d3bt3V3pdZXXp0gVdunSp9HIJIbVPrU701a1x48awsLDA+vXr4e3trfR64eHhMDMzg5GREYKCgrhEHxISgrNnz+Ldu3dITU2Fi4sLkpKSEB8fD319fezbtw/a2to4fvw4AgICIJfLYWxsjJUrV0JbWxu9e/dG586dkZaWhkWLFmH37t0IDAzEvXv3sGLFCuTl5eHLL7/Exo0b0ahRI6xatQoPHz7Emzdv0L59e2zevFlh0DVCCD/U6q6bmsDDwwMxMTHFunDKEhISAhsbG9jY2OCvv/7Cu3fvuHm3b9/Gzp07sX//fqxbtw6WlpYIDw8HAFy4cAEPHz7EH3/8gaCgIJw4cQINGzbE/v37AQAZGRn48ccfceLECWhq/u87fMGCBZg+fTrCw8MhFAoREBCAGzduQCAQ4MiRI4iMjIRIJMK5c+cqp1EIITWKSo/oT5w4wT1Yo1+/fli8eLEqq6sWurq68Pb25rpwPubevXt4/fo1LCwsIBAI0LFjRxw/fhxubm4AgO7du0NXV5frCurZsycAoHnz5sjMzMSVK1fw9OlTjB49GgCQn5+PTp06ceV37dpVob709HSkpaVh4MCBAIDvv/+em6evr49Dhw7h8ePHSEpKojHuCeEplSX63NxcrFmzBqdPn8YXX3yBMWPGIDY29qND/NZGffr04bpwPiY4OBgSiQRWVlYAgOzsbAQFBXGJXiAQKCxf9MgcKDjPYGNjg2XLlnHry2T/e4Dyh10vAoFAYVx7sViM1NRUJCYmYtu2bRg/fjycnJyQkZFBwx0TwlMq67qRyWSQy+XIzc2FVCqFVCrlHp7BR4VdOKmpqaUuI5FIEB4ejgMHDiA6OhrR0dE4c+YM0tLScOXKFaXq6dWrFyIjI/H27VswxrBq1SoEBASUuryenh4MDQ0RExMDoOBXlr+/Py5dugQbGxuMHDkSX3zxBa5cuaLwhUEI4Q+VHdHr6upizpw5sLGxQZ06dWBmZlauq0sSEhIUXmtqaiI7O1thmkBLRyVPa5fky5AvyStzmdzcXMjlci4mNTU1LF26FDNmzEBubi6ys7Ph4uKC7du3w8DAAAAQFRWFJk2aoG3btgrrDR8+HAcPHoSFhQWkUmmx7czOzoZUKoVYLMZXX32FH3/8Ea6urpDL5Wjfvj3Gjh3LrVP4Ny8vDzKZDNnZ2fDy8sK6deuwfv166Ovrw9vbG+/evcPSpUsRHh4OTU1NmJiY4MmTJ8XqlkgkiI+PL3cbVmSd6lTb4gWqLmZTU1OIRKJKKasi5VRW3eVV2L61cd/4kBpT0e/1+/fvw8PDA/v374eenh4WLFgAExOTjz5MQywWIyEhAZ07d1b4BXDv3j107Njxk2LKzs5W+lr6mqK6Y65Iu8fHx8PU1FRFEVW+2hYvUPUxl+cy5tKIRCLo6emVa5210y0rpe7yKjyArE37Rmm5E1Bh101MTAzMzc3RsGFDaGlpwcnJCVevXlVVdYQQQkqhskTfoUMHxMbGIicnB4wxREdH0w08hBBSDVTWR9+nTx/cvXsXTk5OEAgE6NKlC9zd3VVVHSGEkFKo9Dp6d3d3Su6EEFLN6M5YQgjhOUr0hBDCc7U60TNZfrmWV/YyRWXLPX36NJycnODg4AB7e3vs27dPqfWio6PRvn37YvcKVKYff/wRKSkpKiufEFJ71OrRK9U0BHh1cIXSy8tkcmhofPy7rdk4r48uk5KSgvXr1yMkJAT169dHdnY2XF1d0bp1awwePLjMdUNCQmBtbY0jR46gc+fOSsdfHr/88otKyiWE1D61+oi+OmVkZCA/Px95eQV30NarVw++vr5o27Ztmeulp6fj8uXLWLhwISIiIpCVlcXNs7S0xIoVKzB8+HBMnjwZERERmDRpEgYNGsTdg/D06VNMnDgRI0aMwJgxY3D37l0ABUMwTJ06FTY2NoiOjuYegCIWi7FkyRJYWVnBzs4Op06dAgBERERg9OjRcHBwgLW1Na5fv66KZiKE1ACU6CuoQ4cOGDx4MIYMGQJnZ2ds2LABcrkcrVq1KnO9sLAwWFpaokWLFujcubPCiJdv3rxBv379cPz4cYjFYkRFReH//u//MGvWLG48m8WLF2PhwoUIDQ2Ft7c35s2bx62vr6+PiIgIDBo0iJsWGBiInJwcRERE4Ndff8XPP/8MiUSCoKAg7N69G2FhYZg8eTI3yighhH9qdddNdVu9ejWmT5+OmJgYxMTEYPTo0di4cSOGDRtW6jqhoaGYOXMmAEAoFOLgwYMKQwf369cPQMGwxIW3Xjdr1gyZmZnIzs5GQkICPD09ueVzcnKQkZEBADAxMSlWX1xcHEaPHg11dXUYGBjg5MmTAICff/4Z0dHRePLkCa5evQp1dfrOJ4SvKNFX0NmzZ5GTkwOhUIiRI0di5MiR+OOPP3Ds2LFSE/2dO3eQmJiINWvWYN26dZDJZEhNTcXNmzfRrVs3AICWlha3/IePPZTL5dDS0sKJEye4aa9fv4a+vj6A4kMUAwWDwRUdpvjp06do2LAhnJ2d4eDgADMzM7Rv3x6HDh2qaFMQQmo4OoyrIB0dHWzatIl7EDhj7KMDgIWEhGD06NE4e/YsoqOjce7cOTg6OiIoKEipOvX09PD1119zif7ixYsYO3ZsmeuYmZnh1KlTYIzh7du3GDduHO7evQs1NTVMnTqVG/aYhigmhL8o0VdQ7969MXPmTEydOhVWVlawtraGhoYGZsyYAQDw9/fH4cOHueUlEgn+/PNPhW4aAHBzc0NERATev3+vVL0bNmzAsWPHYG9vj02bNmHLli0KR+wf+v7771G3bl04ODjAzc0Ny5cvh6mpKTp27AgbGxvY2tqifv36ePXqVQVagRBSG6hsmOKKKs8wxUyWDzUNwYdFfDJVlVsRNEyx6tW2eAEapljVaJjiGqS8yfjDh2pUVrmEEFKT1epETwgh5OMo0RNCCM/VqkQvl8urO4TPSg07fUMIqaBak+jr1auHly9fQiKRUAKqAoWXY5Z0bT4hpHapNTdMtWjRAm/evMHTp08hlUorVIZEIlG4Iak2qM6YdXR00KJFi2qpmxBSeWpNoldXV0fjxo3RuHHjCpcRHx+Prl27VmJUqlcbYyaE1Cy1puuGEEJIxVCiJ4QQnqNETwghPEeJnhBCeI4SPSGE8BwlekII4TlK9IQQwnOU6AkhhOco0RNCCM9RoieEEJ6jRE8IITxHiZ4QQniOEj0hhPAcJXpCCOE5SvSEEMJzlOgJIYTnKNETQgjPUaInhBCeo0RPCCE8p9JEHx0dDScnJ9jY2MDHx0eVVRFCCCmFyhL98+fPsXLlSuzcuRNhYWG4e/cuzp07p6rqCCGElEJTVQVHRkZCKBSiSZMmAIAtW7ZAW1tbVdURQggphcoS/dOnTyEQCDB16lQkJydjwIABmDt3rtLrJyQkqCSu+Ph4lZSrShSz6tW2eIGqi9nU1BQikahSyqpIOZVVd3kVtm9t3Dc+pLJEL5PJcO3aNQQGBqJu3bqYNm0aQkND4eTkpNT6nTt3rvRfAPHx8TA1Na3UMlWNYla92hYvUPUx6+npfXIZIpGoQuVURt0VYWpqWqv2DbFYXOoBssr66Bs1agRzc3M0aNAAOjo6GDJkCG7duqWq6gghhJRCZYl+4MCBiImJQWZmJmQyGS5cuABjY2NVVUcIIaQUKuu66dq1KyZPnozvv/8e+fn5sLS0xMiRI1VVHSGEkFKoLNEDgLOzM5ydnVVZBSGEkI+gO2MJIYTnKNETQgjPUaInhBCeo0RPCCE8R4meEEJ4jhI9IYTwHCV6QgjhOUr0hBDCc5ToCSGE5yjRE0IIzymV6JcsWVJs2uzZsys9GEIIIZWvzLFuVq5ciZSUFMTHxyM9PZ2bLpVK8fz5c5UHRwgh5NOVmeidnZ3x8OFDPHjwAFZWVtx0DQ0NdOvWTdWxEUIIqQRlJvouXbqgS5cusLCw4J79SgghpHZRapji5ORkLFy4EO/fvwdjjJseHh6ussAIIYRUDqUS/YoVK+Dk5IROnTpBTU1N1TERQgipREolek1NTUycOFHVsRBCCFEBpS6vbNeuHR48eKDqWAghhKiAUkf0z58/x8iRI9GsWTNoa2tz06mPnhBCaj6lEv28efNUHQchhBAVUSrRGxkZqToOQgghKqJUou/duzfU1NTAGOOuujEwMMD58+dVGhwhhJBPp1Siv3//Pve/RCLBn3/+iSdPnqgsKEIIIZWn3KNXamlpwcnJCRcvXlRFPIQQQiqZUkf079694/5njCEhIQGZmZmqiokQQkglKncfPQA0bNgQS5cuVWlghBBCKke5++gJIYTULkolerlcjv379+P8+fOQSqWwtLTE1KlToamp1OqEEEKqkVInYzdt2oTLly9jwoQJmDhxIm7cuAE/Pz9Vx0YIIaQSKHVIfuHCBQQHB0MgEAAABgwYAAcHhxIfMUgIIaRmUeqInjHGJXmg4BLLoq8JIYTUXEol+g4dOmDt2rV49uwZnj9/jrVr19KwCIQQUksolehXrlyJzMxMuLi4YNSoUcjIyMDy5ctVHRshhJBKUGail0gkWLx4MS5dugRfX1/ExsbCxMQEGhoa0NXVraoYCSGEfIIyE/22bduQlZWF7t27c9O8vb2RmZmJ7du3qzw4Qgghn67MRH/27Fls2rQJDRs25KYZGhrCz88PUVFRKg+OEELIpysz0QsEAujo6BSbrqurCy0tLZUFRQghpPKUmejV1dWRlZVVbHpWVhakUqlSFaxfvx4eHh4Vi44QQsgnKzPR29nZYdmyZcjJyeGm5eTkYNmyZRg2bNhHC7906RJCQ0M/PUpCCCEVVmainzBhAvT09GBpaYnRo0fD2dkZlpaW+OKLLzBjxowyC3737h22bNmCqVOnVmrAhBBCykeNFY49XIaXL1/izp07UFdXh4mJCRo3bvzRgmfPno0xY8YgOTkZV69eha+vr1IBicViJCQkKLUsIUT1TE1NMWv96Wqpe/P8YRBolvv5SJ8sP1+GW7duVnm9laFz587Q1tZWmKbUWDfNmzdH8+bNla7o6NGjaNq0KczNzRESElK+KP+/koL9VPHx8TA1Na3UMlWNYla92hYvUPUx6+npfXIZIpGo3OUINNXx6uCKT667vJqN84KpqWmt2jfKOkhWyTjDp06dQlpaGhwdHfH+/Xvk5ORg7dq1NAgaIYRUA5Uk+l9//ZX7PyQkBFevXqUkTwgh1aTqO78IIYRUKZU/IsrJyQlOTk6qroYQQkgp6IieEEJ4jhI9IYTwHCV6QgjhOUr0hBDCc5ToCSGE5yjRE0IIz1GiJ4QQnqNETwghPEeJnhBCeI4SPSGE8BwlekII4TlK9IQQwnOU6AkhhOco0RNCCM9RoieEEJ6jRE8IITxHiZ4QQnhO5U+YIoRUjnypHALNgmMzU1PTKqxXhrXTLausPsW65dVSL99QoieklhBoqmPJzosAAJFIBD09vSqpd+10S7w6uOKTy6lIzM3GeX1yvYS6bgghhPco0RNCCM9RoieEEJ6jRE8IITxHiZ4QQniOEj0hhPAcJXpCCOE5SvSEEMJzlOgJIYTnKNETQgjPUaInhBCeo0RPCCE8R4meEEJ4jhI9IYTwHCV6QgjhOUr0hBDCc5ToCSGE5yjRE0IIz6n0UYI7duxAREQEAKB///5YtGiRKqsjhBBSApUd0cfGxiImJgahoaE4fvw47ty5g8jISFVVRwghpBQqO6I3MDCAh4cHtLS0AABt2rTBq1evVFUdIYSQUqgs0bdr1477PykpCRERETh8+LDS6yckJKgiLMTHx6ukXFWimIvrZmICDYGgUsoyNTVVetl8qQwCTY1KqbciRCJRif9XZb1VXU5VbmehfKkcAk31cu0blSEnNw/37t6p9HJV2kcPAA8fPsSUKVOwaNEifP3110qv17lzZ2hra1dqLPHx8VX+xn0qirl0rw6uqJRyRCIR9PT0lFq22TgvLNl5sVLqLa+10y25OMsTc2WojLoqGnNVbmchgaY6luy8WOXtvHa6ZYU/O2KxuNQDZJVedRMfHw83NzfMnz8fI0aMUGVVhBBCSqGyI/rk5GTMmDEDW7Zsgbm5uaqqIYQQ8hEqS/T79++HWCyGr68vN83FxQVjxoxRVZWEEEJKoLJEv2zZMixbtkxVxRNCCFES3RlLCCE8R4meEEJ4jhI9IYTwHCV6QgjhOUr0hBDCc5ToCSGE5yjRE0IIz1GiJ4QQnqNETwghPEeJnhBCeI4SPSGE8BwlekII4TlK9IQQwnOU6AkhhOco0RNCCM9RoieEEJ6jRE8IITynsidMVRcml0FNXaPEeRV9uvqn1stX+VI5BJrFjxVU2c5F664O+VIZ1k63rJa6Cako3iV6NXUNvDq4osR5IpEIenp6Kqm32TgvlZRbkwk01bFk58Vi01XZzoWqK9kKNEvfv1Ttc9zHSOWgrhtCCOE5SvSEEMJzlOgJIYTnKNETQgjPUaInhBCeo0RPCCE8R4meEEJ4jhI9IYTwHCV6QgjhOUr0hBDCc5ToCSGE5yjRE0IIz1GiJ4QQnqNETwghPEeJnhBCeI4SPSGE8BwlekII4TlK9IQQwnMqTfTh4eEQCoUYNmwYDh06pMqqCCGElEJlz4xNSUnBli1bEBISAi0tLbi4uKBXr15o27atqqokhBBSApUl+tjYWPTu3Rv6+voAACsrK5w+fRozZ84scz3GGABAIpFUuG6poE6J0+Va8lLnfSqxWKySclVd9qeqq6VWbBrTUS9xemUSi8WV9l6WZ7+ozHrLSywWc+1aFW1ctN7K2OaKfP6qq70L27oq27mw3ooqzJmFObQoNVbS1EqwZ88e5OTkYN68eQCAo0eP4tatW/D29i5zPZFIhMTERFWERAghvGdkZAQ9PT2FaSo7opfL5VBT+983IWNM4XVp6tWrByMjIwgEAqWWJ4QQUpBj8/PzUa9evWLzVJbomzRpgmvXrnGv09LS0Lhx44+up66uXuzbiBBCyMfp6OiUOF1lV91YWFjg0qVLSE9PR25uLv7++2/069dPVdURQggphcqO6A0NDTFv3jyMHz8e+fn5cHZ2homJiaqqI4QQUgqVnYwlhBBSM9CdsYQQwnOU6AkhhOco0RNCCM9RoieEEJ5T2VU31W3r1q3Q0NDArFmzAACZmZlYsGABnj9/jgYNGmDr1q0wMDBQWIcxBj8/P/zzzz9QV1eHt7c3TE1Nqyzmt2/fYtKkSdxrkUiEjIwM3LhxQ2G5ly9fws7ODi1btgQANGrUCPv376+yOIsKDQ3Fpk2b0LBhQwDAgAEDuLuhC0kkEixduhQJCQnQ0dHBxo0b0aZNm+oIFwAQHx+PdevWIT8/H/r6+li7di2aN2+usExNaePw8HDs2rULUqkUEyZMwNixYxXm37t3D0uXLkV2djZ69OiB1atXQ1Ozej/WO3bsQEREBACgf//+WLRoUbH5wcHB+OKLLwAAo0ePLrZdVc3V1RXp6elc23l5eaFr167c/JrYzuXCeCYzM5N5enoyExMTtm3bNm766tWr2Z49exhjjIWGhrI5c+YUWzciIoL9+OOPTCaTscePH7OhQ4ey/Pz8qgpdgUwmY+PGjWNhYWHF5p0+fZotX768GqIqzsvLi4WHh5e5zL59+7h4r169ykaNGlUVoZVq4MCB7N69e4wxxo4ePcqmTp1abJma0MavX79mAwcOZBkZGSw7O5vZ29uzhw8fKixja2vLbty4wRhjzNPTkx06dKgaIv2fixcvsu+++46JxWImkUjY+PHj2d9//62wzJQpU9j169erKcLi5HI569OnT5mf9ZrWzuXFu66bM2fO4Ouvv8bEiRMVpp89exb29vYAADs7O5w/fx75+fkKy5w7dw5CoRDq6upo3bo1mjZtWuxouqoEBwejTp06XMxF3b59G4mJiXB0dMT48ePx4MGDaojwf7GEhobC3t4eCxYswPv374stc/bsWTg4OAAAzMzMkJ6ejlevXlV1qAAKfl3MmTMHHTp0AAC0b98eycnJxZarCW1cdGDAunXrcgMDFnr58iXy8vLQrVs3AICTk5PC/OpgYGAADw8PaGlpQSAQoE2bNsXe64SEBOzZswf29vbw8vKq9kH7Hj9+DACYNGkSHBwccPDgQYX5NbGdy4t3iX748OFwd3eHhoaGwvTU1FSuq0ZTUxO6urpIT08vtkzRYRoMDAzw+vVr1Qf9AZlMht27d2P+/PklztfW1oaDgwNCQ0Pxww8/YMaMGZ802uenMDAwwPTp0xEWFoamTZvCy8ur2DJF275wnepoVwDQ0tKCo6MjgILxmHbs2IEhQ4YUW64mtPGH7da4cWOkpKSUOt/AwEBhfnVo164dlxCTkpIQERGB/v37c/Ozs7PRsWNHLFy4EKGhocjMzMTOnTurKdoCmZmZMDc3x88//4wDBw4gKCgIFy9e5ObXxHYur1rUyaQoIiIC69atU5j2zTff4MCBA0qtzxiDurri91xJA7F9uExlKSv+Cxcu4Ouvv0b79u1LXLfwvANQ0Ae6adMmPH78mDtKrep4C02ePBlDhw4tti77YEA7VbZrUWXFLJFI4OHhAalUiilTphRbtzra+EMfGxiwogMHVoWHDx9iypQpWLRoEb7++mtuer169fDLL79wrydNmoQlS5YUO69Tlb799lt8++233GtnZ2ecO3cOlpaWAGp2Oyur1iZ6Gxsb2NjYKL1848aN8ebNGzRp0gRSqRTZ2dncWPmFmjRpgtTUVO71mzdvlBqIrSLKij8qKgpCobDUdQMDA2FnZ4f69esDKNjxVH1iqKR4RSIRDhw4ADc3Ny6OD39JAQXDYaSmpnInNlXZrh+LGSg4qpw2bRr09fWxa9cuCASCYstURxt/6GMDAzZp0gRpaWnc66pq14+Jj4/H7NmzsWTJEtja2irMe/XqFWJjY+Hs7Aygetr1Q9euXUN+fj7Mzc1LjKmmtnN58K7rpjT9+/fH8ePHAQCnTp1Cjx49in3A+/Xrh/DwcMhkMjx9+hRJSUno0qVLlcd68+ZN9OjRo9T5cXFxOHbsGADg6tWrkMvl+Oabb6oqPE7dunWxb98+/PvvvwCAgwcPlnhE379/f5w4cQJAwYdKW1sbzZo1q9JYi1q4cCFatWqFrVu3QktLq8RlakIbf2xgwObNm0NbWxvx8fEAgBMnTlT7wIHJycmYMWMGNm7cWCzJAwWjK27YsAHPnz8HYwyHDh0qcZ+pSiKRCH5+fhCLxcjKykJoaKhCTDWxncutWk4BV4Ft27YpXHWTkZHBpkyZwoRCIfvuu+/Y8+fPGWOMRUVFsSVLljDGCs6++/r6MqFQyIRCIbtw4UK1xG5iYsLy8vIUpv3+++9s69atjLGCqzHc3NyYra0tc3Jy4q4gqQ5xcXFs+PDhzNramk2dOpVlZmYWizcvL48tWrSICYVCNnz4cJaQkFBt8d65c4cZGRkxoVDIHBwcmIODA5s8eXKxmGtKG4eFhTFbW1s2bNgwtnfvXsYYY5MnT2a3bt1ijDF27949NnLkSGZlZcV++uknJhaLqyXOQt7e3qxbt25c2zo4OLDff/9dIebTp09z2+Th4VHtMTPG2JYtW5i1tTUbNmwYO3DgAGOsZrdzedGgZoQQwnOfTdcNIYR8rijRE0IIz1GiJ4QQnqNETwghPEeJnhBCeI4SfTU7duwYRo0aBaFQiCFDhmDixIncdenV6dtvv8WLFy+qrf6jR4/i0KFDAIDDhw9j79691RYLAJw+fRqurq4VXr/o9pTl33//hbW1NaytrXHu3Dlu+s8//4yjR49WuP7KcvbsWfj7+wMAQkJCSryruDzy8vLg6ekJOzs72NrawtPTE3l5eQAKhlAYO3YshEIhnJ2d8ejRI4V1JRIJJk6cqDDujEwmw/bt2zFixAhYWVlh7dq1oAsLKdFXq82bNyM4OBhbt27FqVOnEBUVBXd3d0yZMqXaBv2qKeLj47kP/JgxY+Du7l7NEX2aottTll9++QXr1q1DYGAgl1BfvXqFy5cvc3eTVqfbt2+XOHBdRe3atQsymQxhYWEICwuDWCzGnj17AAALFiyAi4sLTp06hVmzZmHOnDlc0r5x4wa+++47XL9+XaG83377DVevXsXhw4cRHh6Omzdv4tSpU5UWb21Va4dAqO3evHmDgIAAREZGKtxObW5uDg8PD+Tm5gIABg0aBBMTEzx48AA//fQTvv76a3h5eeHdu3dQU1PDpEmTMHz4cGRnZ8PT0xNPnz6Furo6jI2N4eXlhdzc3BKnfzjWzLVr1+Dt7Q01NTV06dIFcrmcm3fkyBEEBgZCXV0djRo1wvLly9G6dWt4eHhAR0cHiYmJePv2LQYNGgR9fX38888/SEtLg4+PD8zNzSGRSLBx40bExcVBJpOhU6dOWLZsGXR1dfH7778jKCgIAoEA2tra8PLywpMnTxAdHY2LFy9CR0cH6enpyMjIwIoVK/DkyROsWLEC6enpUFdXx7Rp04oNF7F9+3Y8ffoUr1+/RlpaGjp06IA1a9ZAV1dX6fYEAH9/f4SHh0NfXx+tWrXiyvfw8EC7du3www8/FHtdUnwCgUBhe4YMGQJ3d3fs3bsXhoaGCrFraWkhJycHIpGIu2vX19cXCxcuLHN8lfT0dHh6euLZs2fQ19eHgYEB2rVrh1mzZqFz584YPHgw7t+/j40bN0IsFsPPzw+5ubkQCASYO3cuLC0tYWlpiSNHjqBVq1bYs2cPgoKC8M8//wAA3Nzc0KNHDwQFBUEmk0FPTw+tWrVCWloa3N3dkZycDA0NDWzatKnEZw04OjrCx8en2J3mZmZmaN68Obc/duzYEf/99x9SUlLw+PFj7u7a/v37Y/Xq1bh79y6MjY0RGBiI+fPnc18KhY4fP47FixdDR0eH2xdKGuLis1O992t9viIjI9mIESM+utzAgQPZjh07GGOM5efns8GDB7O//vqLMVZw92bfvn3Z9evXWWhoKJs0aRJjjDGpVMqWLl3KkpKSSp1elFgsZhYWFiw2NpYxxlh4eDgzMjJiz58/Z7GxsWzIkCHs7du3jDHGgoODmY2NDZPL5Wzx4sVs1KhRTCKRsNTUVGZkZMR+++03xhhjBw4cYBMnTmSMMbZ9+3bm6+vL5HI5Y4yxTZs2sZUrVzKpVMqMjY1ZSkoKY6zgOQFBQUGMMcYWL17M9u3bxxgruMt59erVjDHGhg8fzg4ePMgYY+zVq1ds8ODBTCQSKWzPtm3bWL9+/VhaWhqTyWTsp59+Yr6+vuVqz8jISCYUCplIJGL5+fnM3d2djRs3rlhsH74uLb4P1ynNw4cP2XfffcecnJxYfHw8u3jxInfndlnmzZvH/Pz8GGOMpaSkMEtLS+7OcCMjIxYaGsoYYyw9PZ2Zm5uzmzdvMsYYS0xMZD179mTPnj1jHh4eLDAwkDHG2NixY5mlpSV7/Pgxy8zMZL169WJisVjhvQgODmY9evTg9idvb2/m6en50VhL8+LFC2Zpacmio6PZjRs3mJWVlcJ8FxcXFhUVpTBt3LhxLCIignttYmLCAgIC2Pjx45mdnR3bvHkzk0qlFY6JL6jrppqwD/oNs7Ky4OjoCEdHRwwdOhSbN2/m5hWOe5OUlASxWIxhw4YBKBgsbNiwYbhw4QJMTU3x33//wdXVFXv37sWECRPQqlWrUqcXlZiYCE1NTW5QJzs7O9SrVw8AcOHCBQiFQjRo0ABAwVjcKSkpXP/9wIEDIRAIYGBggLp166Jv374AgJYtW+Ldu3cACvp1o6OjMXz4cDg6OiIqKgqPHj2ChoYGrK2t4eLiAi8vL3zxxRdldk+8e/cO9+/fx6hRowAATZs2RVRUFHR1dYsta21tjUaNGkFdXR3Ozs6IiYkpV3teunQJQ4cOha6uLjQ1NTFy5MhS46pIfKVp27YtgoKCEBwcjC5dusDf3x/z58/H0aNH8eOPP2LZsmUlDpd87tw5fPfddwAKBvCztrZWmF+4zbdu3ULLli25pye1a9cO3bt3x9WrVzF06FCcP38eWVlZSEtLg52dHWJjY3Hu3Dn07du3xHGBTExMuP2pY8eOxYb+VlZCQgLGjh2LcePGYeDAgcVGjARKHzSvKKlUin///Re//PILDh8+jOvXryMwMLBCMfEJJfpqYmJigidPniAjIwMAoKurixMnTuDEiRNwcHBAVlYWt2zdunUBFJxoKmnnl0ql+OqrrxAZGQl3d3dkZWVh4sSJiI6OLnX6hz784ikcva9oF86HdQIo9uEvaSRCuVyOJUuWcNt39OhRrv9548aN2L17N1q2bIm9e/fip59+KrXNCssu2gaPHz8use+7aEKQy+UKXVXKtGfh/yWVp6ampjCv8AE25YlPGQEBAbC1tYW2tjYOHDiAPXv2oFmzZtwAcUVpamoqxPRh15wy22xpaYmEhAScO3cOvXr1goWFBWJiYhAdHQ0rK6sSYyz6fn/YLso6efIkJk2ahPnz52Pq1KkAgGbNmiEtLU2hvNTUVDRp0qTMsho3bgxbW1toaWlBV1cX1tbWuHnzZrlj4htK9NXE0NAQ48ePx5w5cxROvL58+RLXr18vcbz2b775Bpqamvj7778BACkpKfjrr79gYWGB33//HZ6enujTpw8WLlyIPn364O7du6VOL6p9+/ZgjHFXeZw5c4Y74da3b1+cOnWKO1ILDg4u1mf9MX369MGhQ4cgkUggl8uxfPlybN68Genp6ejfvz/09fXh5uaGuXPn4vbt2wAKEmthwi2kq6sLY2NjbhTS5ORkjBkzBiKRqFidZ86cgUgkglwuxx9//IGBAweWqz379euH06dPIzMzE3K5XCG51q9fHwkJCdw6V69e/Wh8JW1PWVJTUxEVFYWxY8eCMcaNga6url7iF0f//v250TYzMjIQFRVVYp9+t27d8PjxY9y6dQtAwbjxcXFx6NmzJ7S1tWFmZoYdO3bA0tISPXv2xM2bN3Ht2jXul1p5t+NjoqOj4ePjg/379ys8Ta1JkyZo2bIldyL1woULUFdXh5GRUZnlWVlZISwsDHK5HPn5+fjnn3+qZQTamoZOxlajefPmISwsDPPnz0dubi5EIhG+/PJLCIXCEh+WLBAIsHPnTvj4+GD79u2QyWSYMWMGevfuDRMTE1y9ehVCoRB16tRB06ZN4erqCoFAUOL0D8v9+eefsWrVKmzevBkdO3bkHvZtaWkJNzc3TJgwAXK5HA0aNMCePXvK9eCQ6dOnY/369RgxYgRkMhk6duwIDw8P6OrqYtq0aXBzc4OOjg40NDTg4+MDoGDIaF9f32Jlbdq0CatXr0ZgYCDU1NSwZs2aYg95Bwoe5v3jjz8iIyMDZmZm3JGisu0JAA8ePMDIkSPxxRdfoEOHDtyvL1dXVyxYsABWVlZo0aIFt3xZ8RXdnsKnoJV0MraQn58f5s2bBw0NDejq6mLIkCEYOnQoDA0NS3wik6enJ5YtWwZ7e3vo6+ujWbNm3AnJoho0aAB/f394e3sjLy8PampqWLduHVq3bg0AGDp0KP7++2/07t0bOjo66NChA7788ktoa2sDAHr37o0FCxbA29sbxsbGJcZektJOxq5fvx6MMSxbtoyb1r17d6xcuRKbN2/G8uXLsWvXLmhpacHf3/+j+93cuXOxceNG2NnZQSaTwcLCAhMmTFA6Tr6i0SsJ72zfvp27SudzcejQIXTq1AnffvstJBIJvv/+e8yaNUvhMX7k80VH9ITwQNu2beHt7c11WVhbW1OSJxw6oieEEJ6jk7GEEMJzlOgJIYTnKNETQgjPUaInhBCeo0RPCCE8R4meEEJ47v8BDU+6ABXLtqEAAAAASUVORK5CYII=", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "americas = data[data['Continent'].apply(lambda x: \"America\" in x)]\n", "\n", "col = \"Gross domestic product: % growth : 2016\"\n", "\n", "ax = sns.histplot(data = americas, x = col, hue=\"Continent\", multiple=\"stack\");\n", "\n", "ax.set(title=\"GDP of North American vs. South American countries\");" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Note the use of the **`hue`** argument to `histplot`. It adds a new dimension to the plot, by coloring the bars according to the value of the categorical feature.\n", "\n", "`multiple=\"stack\"` is an optional argument and is used to improve the visibility when bars are stacked on top of each other. \n", "\n", "\n", "These visualizations are arguably the most ubiquitous in science. The canonical version of overlaid histograms are where a new drug is tested against a placebo, and the distribution of some outcome (e.g. blood pressure) is plotted for the placebo group and the drug group.\n", "\n", "Most common statistical tests are designed to answer the question: “Do these two groups differ?” This question is answered by comparing the distributions of the two groups." ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### Side-by-side box plots" ] }, { "cell_type": "code", "execution_count": 117, "metadata": {}, "outputs": [ { "data": { "image/png": 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Swr1793Rj4M3NysoKSKngi3PSCCGE0C8xMZErV67ozqH/pTc5HDt2jN27d2NlZcXRo0fx8fGhcOHC9O3bN8MJqMwltSvJ2to6w5lKhRBC6KevO15v31ChQoV085TY2dnpsoulpaXByaiEEELkbnqTQ+vWrRkxYgQnT56kTZs2zJgxg5CQECZPnoyTk5MpYxRCCGFieruVxo0bx8aNG/H09OTmzZtoNBrOnDlD+/btmThxoglDFEIIYWp6k4OFhQXDhw9n+PDhpoxHCCFEDpAzxqMKIYTIUfS2HA4dOpTpju3atcv2YIQQQuQMepODr68vZ8+epU6dOulWV1KpVJIcconDhw8bTPQvSl3nwc7O7qXKadeunW7JRiFE7qc3OXz11Vf079+f0aNHv9QKXCJ3e9XkIITIW/QmB2tra2bNmsXmzZslOeRibdq0eakr+unTpwPg6elprJCEeCUREREsWbIEd3d37O3tzR1OnpfpDel3331Xt5SeEEKYk7e3N2FhYfj4+Jg7lHzB4GilixcvcvToUX766Sfdur9CCGFKERERBAcHoygKQUFBREREmDukPE9vt9L169f5+OOPiYuLo0yZMiiKQnh4OGq1mjVr1lCjRg1TximEyMe8vb3RarVAyjT9Pj4+jBs3zsxR5W16Ww7u7u5MnTqVI0eO4O3tjY+PD4cPH2bmzJnZMiNrbGwsXbp04e7duwD88ssvuLq60q5dO7y8vF77+EKIvCMkJASNRgOARqPh6NGjZo4o79ObHOLi4mjRokW67c2bNychIeG1Cj137hwDBgzg5s2bAMTHx/Ppp5/yxRdfsH//fkJDQ/npp59eqwwhRN7RqlUrLC1TOjosLS1p3bq1mSPK+/QmBzs7O/bv359u+/79+7G1tX2tQv38/Jg9ezYODg4AnD9/ngoVKvDWW29haWmJq6srBw4ceK0yhBB5h5ubm26BMQsLCwYMGGDmiPI+vfccFi5cyJQpU5g1axYODg6oVCoePXpE+fLlX3sE08KFC9O8Dg8Pp1SpUrrXDg4OPHz48LXKEELkHfb29ri4uBAYGEjbtm1lKKsJ6E0OFSpUYNu2bTx8+JAHDx6g1WopV64cpUuXzvYgtFptmgUnFEV56fWgQ0NDszusfCkmJgaA06dPmzkSIdKqXbs2YWFh1KpVS76fJqA3OSQmJvL111/zzz//0KFDB1q2bKn72fz585k5c2a2BVGmTBkePXqke/3o0SNdl1NW1a5dW1aCywZ+fn4AODo6mjkSIdJr1aqVuUPIMxISEjK9qNZ7z2Hu3LncvHmTKlWq4OHhwfr163U/O3PmTLYGWa9ePW7cuMGtW7dITk5m7969Gd4MF0IIYRp6Ww7nz59n9+7dqFQqOnbsyKBBg3jzzTfp1KlTuon4XleBAgVYsmQJ//vf/0hISKBly5Z06NAhW8sQQgiRdXqTA/y78PQbb7zB2rVr+fDDD6lQocJL3w/Q58iRI7r/Ozk5sXv37mw5rhBCiNejt1upTp06uLu7c+vWLSClT3/WrFmMHDlSRhIJIUQepzc5zJ49mzJlynDv3j3dts6dO7NgwQKKFStmkuCEEEKYh95upQIFCjBx4sR0252dnXF2djZmTEIIIcxM1pAWQgiRjiQHIYQQ6UhyEELkChEREUybNk3WcjARg8khLCwsS9uEEMKYZCU40zKYHD777LMsbRNCCGORleBMz2By8Pf3z9I2IYQwloxWghPGJfcchBA5nqwEZ3qSHIQQOZ6sBGd6khyEEDmerARnepIchBA5XupKcCqVSlaCM5FMZ2UFuH79Ot9//z1PnjxJM1X3V199ZdTAhBDiRW5ubty+fVtaDSZiMDlMmTIFR0dH2rZtm21TdQshxMuyt7dn6dKl5g4j3zCYHJKSkuS5BiGEyGcMJody5cpx584d3nrrLVPEY3KHDx/m0KFDWX5/ZGQkAHZ2di9VTrt27WjTps1L7SOEEOaiNzmMHj0agEePHtG7d2/q1KmjG0oG+feew6smB5EzREREsGTJEtzd3eWmphCZ0Jsc2rdvb8o4zKZNmzYvdUU/ffp0ADw9PY0VkjCiF+fnGTdunLnDESLH0juUtUePHvTo0YNbt27p/p/6TybeE7mRzM8jRNbpbTmsWbOGp0+fsn//fmJjY3Xbk5KSOH78OB4eHiYJUIjsktH8PNJ6ECJjelsO9erVw9bWFgsLC2xtbXX/ypQpw/Lly00ZoxDZQubnESLr9LYcWrZsScuWLYGUm9Mv3owWIjdq1aoVhw4dQqPRyPw8uZAMJjAtg9NnnD59mhYtWjB9+nSOHDlCYmKiKeISItvJ/Dy5myz2Y1oGk8MPP/zAoUOHaNGiBfv27aNdu3ZMnjzZFLEJka1kfp7cSwYTmF6W+oqePHlCVFQUz58/JzExkaioKCOHJYRx5Kb5eV72AU14tedwcsMDmjKYwPQMthycnZ0ZNGgQd+/exc3NjaNHj/Ldd9+ZIjYhsl3q/Dx5tdUQGRmpSxB5iQwmMD2DLYd+/fpx/Phxjh49yrNnz3j+/DmNGzemaNGipohPiHzrZR/QhLz7kKYMJjA9gy2Hjz76iM2bN7Njxw4aNWqEl5cXjRs3NkVsQggByGACczDYcrhz5w7Hjh3j559/5sKFCzRs2FD6+szk66+/5vr160YtI/X4qVegxlK5cmU++ugjo5Yh8o7UwQSBgYEymMBEDCaHvn374uzsTL9+/VizZg3W1tamiEtk4Pr161z9K5QyNlZGK6OQNhmAmNuXjVbGg9gkox1b5F25aTBBXmAwOZw4cYL79+/z+++/ExAQQKNGjShfvrwpYhMZKGNjxYfvlTR3GK/lu7OPzR2CyIVksR/TMnjP4ZdffqFXr14EBwdz+PBh3f+FEELkXQZbDqtWrWLLli1UrVoVgKtXrzJ16lRcXFyMHpwQQgjzMNhySEpK0iUGgLfffpvk5GSjBiWEEMK8DCaHggULcuHCBd3rCxcuUKhQIaMGJYQQwrwMditNnTqV0aNHU6FCBVQqFdevX2f16tWmiE0IIYSZGEwOhQoVYt++fZw7dw6tVsu7774r6ycLIUQeZzA5TJkyhcDAQN3aDsY0ePBgIiIidGtHzJs3j3r16hm9XJE7ycR0QhiPweRQvXp19uzZg6OjI4ULF9Ztt7W1zdZAFEXh5s2bHD16VBYWEkbzKslBiPzI4Fk4ODiYAwcOpNmmUqm4ePFitgaSOm3DBx98QFRUFH379mXQoEHZWobIW2RiOiGMx2ByCA0NNUUcPH36FCcnJ2bOnElSUhJDhgyhUqVKNG3aNEv7h4aGsn//fu7fv2/UOFOPP3bsWKOWU7ZsWTp16pRmW0xMjFHLNKWYmBhOnz5tlnIBs5RtCnm9fsJ0DCaHzz//PM1rlUpFoUKFePvtt2nevHm2BfLee+/x3nvv6V737t2bn376KcvJoXbt2vj5+XHz9j3UBY3XZaBVUuaWuhP+zGhlJMdHUrRoURwdHdNs9/PzIyaPTNWfUf1Mwc/PD8AsZZtCXq+fyD4JCQmZXvwbTA5Xrlzh7NmztG/fHrVaTVBQEG+88QaBgYGcP38+22Zo/eOPP0hKSsLJyQlIuQfxKvce1AXtKFq5bbbEZC4x14PMHYIQIp8z+BDckydP2LlzJx4eHsyYMYMdO3agUqnYunVrunsRryMmJoalS5eSkJBAbGwsu3btom3b3H2SF0KI3MrgpXlUVBSlSpXSvbazsyMqKgpra+tsHVXUunVrzp07R/fu3dFqtbi5uaXpZhJCCGE6Bs/ub731FitWrKBv374AbN++nfLly3Pu3DndykzZZeLEiUycODFbjylETiGLNYncxGByWLRoEQsXLqRHjx5YWlrSqlUrFixYwP79+43+BRQiL7l+/TqXQ0MpqTbeczxWWi0ATy5eMloZj5M1Rjt2XvKyD2m+6jM4xnpI0+C31N7enhUrVqTb7ubmlu3BCJHXlVRb0tM2dy9xuTMqwtwh5Ek57QFNeRQ5F4mMjORRbFKuX0ntfmwSmsg8MiZXAK/WZRYZGak7IRqTnZ3dS59ws6Pb7GUf0sxpD2hKchBCvLbr16/z11+XKVIo662ixKTnJCUlGjGqFI81MTyNynpXWNxzaRmBJIdcxc7ODsuY8DyxhnTRHNJ0FtmnSCF76r7dyfAbc7jzV/ebO4QcIcvJISkpid27dxMfH0/Xrl0pWrSoMeN6JZGRkSTHR+b6h8iS4yOJjLQ2dxhCiHwsy8lh/vz5lC1bFgsLC8aOHcvmzZuNGZcQQuQY+XEYst7ksGPHDnr16qV7/eDBA+bNmwekPOuQE9nZ2XE/IjFPTJ+RU0YsCCFSTtwXw0KxKWS8Fr2SlAzAnetXjFZG7POs3+PRmxwePnzIkCFDmDZtGrVr16Zt27Z06dIFIN1soUIIkdfZFLKmQVUHc4fxWv74OzzL79WbHMaOHUv37t3x9PSkWLFifPLJJ3Tu3BmtVouNjU22BCqEECJnynT+i3LlyrF69Wo6derEmDFj2LVrF0WKFDFVbEIIIcxEb8vh2LFjrF69Gmtra6ZPn86WLVvYuHEjAwcOZNKkSTRs2NCUcYp8ID/e9MsrIiMjiXv2JE8MA4179oTISBnlr/cTWLJkCZs3byY6Oprp06ezbds2PvzwQ1xdXVm2bJkkB5Htrl+/TuilMCxtCxitDK1FysNQlx78bbQyNFEJRju2EKaiNzkoisK9e/eIjY1FrVbrtjs4OLBs2TKTBCfyH0vbAti1etPcYbyWyJC75g7B5Ozs7Lh/P+s3O19FYtJzAKytChm1HFQqGS1IJsnB09OTb775BmtraxYuXGjKmIQQuUzlypWNXkZql2CFSqUMvPN1lTJJfXI6vcmhbt26rF271pSxCCFyKVPcX8lpE9Plddm7Wo8QQog8QZKDEEKIdGS8lhAmEhkZyWONJtcvlvNYo8FC1uPI8wy2HB49epSlbUIIIfIOgy2HkSNH4u/vb3CbEK8rMjISTVRCrh8KqolKILJA+itrOzs7tA8e5ollQmWoZ95nMDmsX78+S9uEaTww8jKhsYkpM0PaWKsNvPPVPYhNIuetBiJM7fDhwxw6dCjL73/Vp9vbtWv3Ust1ihQGk0NwcDBubm5ptvn7+zNq1CijBSUyZoqx14/+/w+wbHnjlVWUjOtiZ2fHw4QneeIhOLmyzn7ymZqW3uTg4+NDfHw8GzZsICHh3+kAkpKS8PX1leRgBjKWXOQlbdq0kSv6HExvcrC0tOTKlSvEx8dz5cq/i0+o1Wrc3d1NEpwQQgjz0Jsc+vTpQ58+fQgODsbJyYkiRYqQkJBAbGwsJUqUMGWMQghhVpGRkcQ8T3ypxXJyopjniURmcRiywXsOiYmJ9OjRg0OHDvHPP//g5ubGwoULcXZ2fu1AhchvHicb9zmHZ1otAIUtjPd86+NkDXJ5mPcZTA5fffUVmzZtAqBSpUrs3LmTsWPHSnIQRmHsoaza+JQpuy0KGu/5T01UApRJv90UAwqi/39AQQkjllUC09QlJ7GzsyM28lGeWCY0qzf2Df6FaLVaypT595tetmxZtP9/dZITJcdHEnM9yGjH12pSpg22sDTetMHJ8ZFAaaMdP6cy5cyelcsYsawyGddFBhSI3MRgcrC3t8fX15fevXujUqnYtWsXJUuWNEVsL82kJ5fKxjx5l853V2YgJ08hchKDyWHevHl88sknzJs3D5VKRa1atVi+fLkpYntpcnIRQojsYTA5VKxYkZ07dxIdHY1arcbGxsYUcQkhhDAjg8nhhx9+yHD78OHDsz0YIYQQOYPB5PDiA3CJiYmcOnUKJycnowYlhBDCvAwmh8WLF6d5/fDhQz777DOjBSSEEML8XvpJmdKlS3Pv3j1jxCKEECKHeKl7DoqiEBoaKtNnCCFMLiIigiVLluDu7o69fe5eEyM3MNhyuHLliu7f1atXKVu2rNGGsu7Zs4dOnTrRrl07tm7dapQyhBC5k7e3N2FhYfj4+Jg7lHzhpe85GMvDhw/x8vJi586dWFtb079/fxo1akTVqlVNUr4QIueKiIggODgYRVEICgpiwIAB0nowMr3JYfDgwahUKr07ps63lF1++eUXGjdujK2tLQDt27fnwIEDjB8/PlvLEXnHy64kBq+2mpisJGZ+3t7euml7tFotPj4+jBs3zsxR5W16k8OgQYMACAoKIjY2ll69eqFWqwkICKBYsWLZHkh4eDilSpXSvXZwcOD8+fNZ3j80NDTbY8pITEwMAKdPnzZJeaaWm+p348YNXbxZVahQypxYL7PfjRs3csXnAbnr9/cyDh8+jEaTMmmiRqMhODiYxo0bm6z8l/2e5WQxMTFZ+n7oTQ7t27cH4LvvvsPX1xeL/58CuFWrVvTr1y+bwvyXVqtN01JRFCXTlst/1a5dmwIFCmR7XP/l5+cHgKOjo9HLyg4ve3X96NEj4N96ZpU5rq5zy+/AlHLb9zOr2rRpw6FDh9BoNFhaWuLi4mLSOvr5+RH16L7JyjOmokWL4ujoSEJCQqYX1QZvSEdGRqZZJjQuLo7o6OjsifIFZcqU0Z2YIOUk5eCQu6fHzY3s7OxkrV6R47i5uekuUC0sLBgwYICZI8r7DN6Q7tKlC3379qVt27YoisKBAwfo27dvtgfSpEkT1q5dS0REBIUKFeLQoUPMnz8/28vJb2SdXpEX2Nvb4+LiQmBgIG3btpWb0SZgMDl8/PHH1K5dm5MnTwLg7u5Oy5Ytsz2Q0qVLM2nSJIYMGUJSUhK9e/embt262V6OECJ3cnNz4/bt29JqMJEsLYdVsmRJihcvjkaj0d3QMwZXV1dcXV2NdnwhRO5lb2/P0qVLzR1GvmHwnoO/vz8TJkwgJiaGuLg4Jk+e/NI3K4UQQuQuBlsOGzZsYNu2bbqbwyNHjuTDDz80yn0HIcS/5DkOYU5ZWkP6xVFDpUuX1o0aEELkLDLSTGQXg8nB1taW4OBgXFxcAAgODqZ48eJGD0yI/E5GmglzMpgcZs2axZgxY5g/fz4qlQpLS0vWrVtnitiEEEKYicHkcPPmTQ4cOMDNmzdJTk6mcuXKWFpmaZCTEEKIXMrgzQMvLy/UajVVqlShWrVqkhiEECIfMHimr1atGl9++SUNGjSgcOHCuu21atUyamBCCCHMx2ByOHfuHOfOnWPbtm26bSqVisOHDxs1MCGEEOZjMDkcOXLEFHEIIYTIQQwmh7i4ONatW8fx48dRq9U4Ozvz0UcfYW1tbYr4hBBCmIHB5ODh4YGFhQUzZsxAURT8/PxYsGAB8+bNM0V8QgiRI8Q+T+SPv8ONdvzEpGQArK3URisj9nlilt9rMDn89ddfHDx4UPe6cePGdO7c+dUiE0KIXKhy5cpGLyN16pO3jFxWVutiMDk4ODgQERGhmz/92bNn8oi+ECJf+eijj4xeRup8WJ6enkYvKysMJocyZcrQq1cvOnTogFqt5vDhw5QsWZIFCxYAKd1OudnLTm72KhObgUxullNERESwZMkS3N3dZcEYITJhMDlUqFCBChUq6F7n9y4laTXlbt7e3oSFheHj48O4cePMHY4QOZbB5DB+/HhTxGE2MrlZ/hEREUFwcDCKohAUFMSAAQOk9SCEHjL3tsg3vL290Wq1QMpU9D4+PmaOSIicS5KDyDdCQkLQaDQAaDQajh49auaIhMi5spQc4uLiAEhMTOTJkydGDUgIY2nVqpVu4khLS0tat25t5oiEyLkMJof9+/fTo0cPAO7du0fnzp1lSg2RK7m5uaXpVhowYICZIxIi5zKYHL766is2bdoEQKVKldi1axdr1641emBCCCHMx2By0Gq1lClTRve6bNmyuqsvIXITb29vVCoVkDKzsNyQFkI/g8nB3t4eX19fNBoNycnJbN++nZIlS5oiNiGyVUhICMnJKfPXJCcnyw1pITJhMDnMnTsXPz8/6tatS926dfHz82P27NmmiE2IbCU3pIXIOoMPwVWqVImdO3cSHR2NWq3GxsbGFHEJke3c3NwIDg4GwMLCQm5IC5EJvcnhm2++YeTIkcyfP1/XT/ui3D6nksh/7O3tcXFxITAwkLZt28rT0UJkQm9yKFq0KCBzCYm8xc3Njdu3b0urQRhdbp/UU29y6N+/P5ByteXm5pbmZ+vXr8/2QIQwBXt7e5YuXWruMIRIJ6ddiOtNDj4+PsTHx7NhwwYSEhJ025OSkvD19WXUqFEmCVAIIXKj3D6pp97kYGlpyZUrV4iPj+fKlSu67Wq1Gnd3d5MEJ4QQwjz0Joc+ffrQp08fgoODcXFxMWVMQgghzMzgcw6VKlVi27ZtKIrCxIkTcXFx4ddffzVFbEIIIczEYHKYPXs2BQoUICQkhIcPH7Jw4UK8vLxMEZsQQggzMZgcEhIS6Nq1K8ePH6djx440atSIpKQkU8QmhBDCTAwmh8TERB4/fkxISAhNmjTh8ePHaUYvCSGEyHsMJod+/frRunVrHB0dqVq1Kr1792bo0KGmiE0IIYSZqBRFUQy9SavVYmGRkkciIyON8rDGrl27WLFiBSVKlABSJkmbNGmSwf0SEhIIDQ2ldu3aFChQINvjEiI3iYiIYMmSJbi7u8v0ICJThs6dBlsOcXFxLFiwgKFDhxIVFYWXl5du2dDsFBoairu7OwEBAQQEBGQpMQgh0vL29iYsLEzWqhCvzWByWLBgAUWLFuXJkycUKFCA2NhYZs2ale2BXLhwgV27duHq6sqUKVOIjo7O9jKEyMsiIiIIDg5GURSCgoKIiIgwd0giFzOYHC5evMikSZOwtLSkUKFCLF++nIsXL2Z7IKVKlWLs2LHs3r2bsmXLMm/evGwvQ4i8zNvbO80a2dJ6EK/D4HoOqfcaUiUnJ6fb9jICAwNZvHhxmm2VK1dmw4YNutcjRoygbdu2L3Xc0NDQV45JiLzg8OHDaDQaADQaDcHBwTRu3NjMUYncymByaNiwIcuWLSM+Pp6ff/6ZrVu30qhRo1cusGPHjnTs2DHNtpiYGDZs2MCwYcMAUBQFtVr9UseVG9Iiv2vTpg2HDh1Co9FgaWmJi4sLjo6O5g5L5FCpN6T1MdgEmDJlCoULF6Zo0aJ4eXlRvXp1pk2blq1BFi5cmG+//ZZz584BsGXLlpduOQiR37m5uela9bLSnXhdBlsOVlZWjBs3jnHjxhktCLVazapVq5gzZw7x8fFUrFhR5twX4iXJSnciOxlMDr/99hvr169PN3po+/bt2RpIgwYN2LVrV7YeU4j8Rla6E9nFYHLw8PBg8ODBlC9f3hTxCCFeg6x0J7KLweRQokQJhgwZYopYhBBC5BAGk4OzszNbt26lefPmWFr++/Zy5coZNTAhhBDmYzA5REZGsnLlSgoVKqTbplKpOHPmjFEDy6lk7hohRH5gMDkcPXqU48ePU7JkSVPEk+O9OHeNMUdwCSGEORl8zqFEiRJyhfz/ZO4aIUR+YbDlUK1aNdzc3GjdujXW1ta67cOHDzdqYDlRRnPXSOtBCJEXGUwO8fHxVKpUiZs3b5ognJwtJCQkzdw1R48eleQghMiTDCaH1Eny7t27h0ajoUKFCkYPKqdq1apVmrlrWrdube6QhBDCKAzec7h16xadO3eme/fu9OzZExcXF65du2aK2HIcNzc3VCoVkDJiS55CFULkVQaTw7x58xgxYgSnTp3i9OnTjBkzhrlz55oithzH3t6esmXLAinPeciNeiFEXmUwOTx58oQePXroXvfq1YvIyEijBpVTRUREcP/+fQD++ecfGa0khMizDCaH5ORkoqKidK/z8wnR29sbRVGAlDUnZKUtIUReZfCG9KBBg+jXrx8dO3ZEpVKxf/9+hg4daorYchwZrSSEyC8MJod+/fpRvnx5jh8/jlarZfbs2TRp0sQUseU4MlpJCJFf6E0O//zzj+7/FSpUSDOE9Z9//smXE++5ubkRHBwMyEpbQoi8TW9y6Ny5MyqVCkVRiI+Pp0iRIqjVap4+fUqJEiU4fvy4KePMEWSlLSFEfqE3OZw9exaAWbNm0ahRIzp37gzA4cOHdVfP+ZGstCWEyA8MjlYKDQ3VJQaANm3acOnSJaMGlZOlrrQlrQYhRF5mMDlotVp+++033etjx47pnhIWQgiRN2VpDemJEydiZWWFoigoisK6detMEZsQQggzMZgcGjRowNGjR7ly5QoA1atXT7NcqBBCiLwnS2d5KysratWqZexYhBBC5BAG7zkIIYTIfyQ5CCGESCdLyeHOnTtAytxC69atIyYmxqhBCSGEMC+DyWHWrFl88803XLt2DQ8PD+7evcunn35qitiEEEKYSZYegpszZw5BQUH06NGDxYsXc+/ePVPEJoQQwkwMJgdFUbCwsODEiRM0btwYgPj4eKMHJoQQwnwMJofy5cszcuRI7t69S8OGDZk8eTLVq1c3RWxCCCHMxOBzDosXLyYoKAhHR0esra1p0KAB3bt3N0FoQgghzMVgy6Fw4cLUr1+fN998k5CQECIiInSroQkhhMibZLSSEEKIdGS0khBCiHRktNJLioiIYNq0aURERJg7FCGEMJpXGq1Uo0YNU8SWI3l7exMWFoaPj4+5QxFCCKPJ8milBg0a5PvRShEREQQHB6MoCkFBQQwYMEBWhBNC5ElZGq1UsWJFdu3ahZeXF1WqVKFQoUKvXfCqVatYu3at7vXTp08ZNWoUHTt2ZODAgTx69Oi1y8hu3t7eaLVaIGWFPGk9CCHyKoPJwd/fnwkTJhAdHU1cXBxTpkzBz8/vlQuMiYnh008/5YcffkizfdWqVTRo0IDAwED69OnDwoULX7kMYwkJCdEN49VoNBw9etTMEQkhhHEYTA4bNmxg27ZtfPbZZ3h4eLBt2zY2bdr0ygUePnyYihUrMnz48DTbQ0JCcHV1BaBLly4cO3aMpKSkVy7HGFq1aqVbBc/S0pLWrVubOSIhhDAOg8lBq9Xi4OCge126dGksLF59GYju3bszatQo1Gp1mu3h4eGUKlUKSDnx2tjY5LgRQW5ubrq6W1hYMGDAADNHJITIK3LaSEiDN6RtbW0JDg7GxcUFgODgYIoXL27wwIGBgSxevDjNtsqVK7Nhw4YsBZY6hDarQkNDs/ze11GvXj3++OMP3n33XW7cuMGNGzdMUq4QIm/bvXs3YWFhrFmzRteLYk4Gk8OsWbMYM2YM8+fPR6VSYWlpybp16wweuGPHjnTs2DHLgTg4OPD48WPKlCmDRqMhLi4OW1vbLO9fu3ZtChQokOX3v6pKlSqxZMkSJkyYICOVhBDZIiIignPnzqEoCn/++adJzi8JCQmZXlQbTA43b97kwIED3Lx5k+TkZCpXrqzrd89OLVu2xN/fn9GjR7N//34aNGiAlZVVtpfzuuzt7Vm6dKm5wxBC5CEZjYQcN26cWWMy2G/j5eWFWq2mSpUqVKtWzSiJAeDjjz/mzz//pHPnznh7ezNr1iyjlCOEEDlNThwJafBMX61aNb788ksaNGhA4cKFddtr1ar1WgX/73//S/Pa1taWr7766rWOKYQQuVGrVq04dOgQGo0mx4yENJgczp07x7lz59i2bZtum0ql4vDhw0YNTAgh8gs3NzeCg4OBnDMS0mByOHLkiCniEEKIfMve3h4XFxcCAwNp27ZtjhjskmlyePDgAc+ePaNy5cp4eXkRFxeHWq3mk08+McnIICGEyC/c3Ny4fft2jmg1QCY3pM+fP0+PHj10Q50CAwOxtbXl6tWrbN261WQBCiFEfpA6EjIntBogk+SwevVqvLy86Nq1KwBFihRh/PjxzJ8/n3379pksQCGEEKanNzncuXNHt7gPpDyxDPDGG28QHR1t/MiEEEKYjd7kYG1tneb1i11JxYoVM15EQgghzE7vDenChQvz4MEDypQpA6R0KwHcv3+fggULmia6LEht0SQmJpo5EiGEyD1Sz5mp59D/0psc+vbty+TJk1mzZg0lSpQAIDo6mhkzZuDm5maEUF9N6rTeV65cMXMkQgiR+yQlJWV4wa83OfTu3Zvbt2/Tpk0bqlSpgkql4vr16wwZMoQuXboYNdiXUaRIEapVq4aVlRUqlcrc4QghRK6gKApJSUm6XqH/Uin62hT/78mTJ5w9exaAunXrplnbQQghRN5kMDkIIYTIf159STchhBB5liQHIYQQ6UhyEEIIkY4kByGEEOlIchBCCJGOJAchhBDpSHL4f1euXKF69eocPHhQt+2nn36iefPmTJ48Od37u3XrZsrwslVGdc2Ij48PPj4+Jooqa+7evUvt2rXp1q1bmn85fRr5u3fvUr16dU6cOJFmu7OzM3fv3jW4///+9z9cXV2NFR4XLlzgs88+M8qx4+LimDt3Lm3btqVr1664ublx8uRJo5T1XyNHjuThw4fZcqwDBw7Qs2dPunbtiqurK99++22W9jty5AjVq1fXLX9gDNlZTx1FKIqiKIsWLVImTJigDB8+XLfN3d1d8fX1NWNUxpFRXXOLO3fuKK1btzZ3GC/tzp07Sq1atZTWrVsrMTExuu2tW7dW7ty5k+m+T548UZydnZV+/fopp0+fNnao2Uqr1SqDBg1SFi5cqCQkJCiKoihhYWFK06ZNlV9//dXM0WXdgwcPlFatWikRERGKoihKbGys0qNHDyU4ONjgvuPGjVMmTJigeHh4GDvMbGVwmdD8ICkpiT179rB161b69+/P7du3+e233zh8+DAnT57EwsKC3bt3U7x4ca5evcqqVavo3r07ly9fJioqis8++4zr169jbW2Nu7s7Tk5ObNmyhYCAAJ4/f46VlRUrVqygcuXK5q5qhnUtX748np6enDhxAgsLC1xcXBg/fjxr164FUq5ac2p9XlS9enUuX74MwM6dO/n9999ZsmQJzs7O1K1bl4sXL+Lt7U1ISAg//PADKpWKWrVqMXPmTIoUKYKTkxNt27bl7NmzFClShOXLl/Pmm29y/vx5Fi9eTHx8PHZ2dsydO5e33nrrpeNzcHCgSZMmeHp6Mn/+/Czvt2fPHho2bEi1atXw9fWlfv36ujqGhIQQFRVFeHg4/fv35969e/z666/Y2try7bffUqBAAfz9/dm4cSNarZZatWoxe/ZsChQoQOPGjalduzaPHj1i2rRpfPXVV2zevJmLFy8ya9Ys4uPjKV68OMuXL6dkyZLMmTOHq1ev8vjxY6pXr87KlSsNTsL5+++/888//7Bp0ybd9DbvvPMOY8aM4YsvvqBYsWLpyipTpgzr168nMDCQ5ORkmjVrxtSpU1GpVHh5eXHy5Emio6NxcHDAy8uLkiVL0qxZM9q3b8/p06dRq9WsWrWKt956C2dnZzZt2oStrS2ffvopDx8+JDw8HCcnJxYuXJjlKXciIyNJSkoiPj4eSJm2Z8mSJQZXxIyIiODXX3/F39+f7t27M336dGxsbABo2rQpbdq04fz585QsWZJevXqxefNmHjx4wJIlS3j//fe5desWc+bMISoqioIFCzJz5kzeeecd3N3diYqK4tatW0ydOpUFCxawadMmSpUqxdy5czl9+jRWVlaMHTuWTp06ERgYyA8//EB8fDyJiYksWrRI9z3SR7qVSOk+KleuHJUqVcLFxYUff/yRPn364OzszIQJE+jTpw+AriumZs2aun1Xr15N+fLlCQwMZOnSpaxatYrY2FiCg4PZvHkze/fupVWrVjmm2yOjut67d49jx46xe/dufHx8+Pvvv0lISNDtk9PqEx4enq5bKTUp6NOiRQsOHjzI48ePdSfBPXv2UKhQIT7//HMg5Q/5vffeY8+ePXTu3JkFCxaQmJiIh4cHK1asYNeuXQwfPpyZM2e+cuzu7u4cP348XfdSZnbu3EnHjh3p2LEjBw8eJCoqSvezCxcu8MUXX/Ddd9+xePFiWrRowZ49ewD4+eefuXr1Kn5+fvj6+hIQEECJEiX47rvvgJQT3siRIwkICMDS8t/rxClTpjB27Fj27NlDp06d2LhxI2fPnsXKyooff/yRoKAgYmJi+OmnnwzGfuHCBWrXrp3uJNywYUMuXLiQYVnHjh0jNDSU7du34+/vz8OHD9m9eze3bt3i+vXr+Pr6cvDgQcqWLcvu3bsBePToEU5OTvj7+9OwYcN038+QkBBq1qzJjz/+yMGDBzl16hRhYWFZ/h3UqFGDNm3a4OLiQu/evVm2bBlarZYKFSpkut/u3btp2rQpb775JrVr19bFC/D48WNatGiBv78/CQkJBAcH4+3tzf/+9z82btwIwPTp05k6dSq7du1i/vz5TJo0Sbe/ra0tgYGBODs767Zt3ryZZ8+e6ZLBunXrSExMxNfXl6+++ordu3czYsQI1q9fb7DO0nIAduzYoZtMsFOnTkyZMoWPP/443fvq1q2bbtupU6dYvnw5kJI8fvzxRwBWrFjBvn37uHnzJj///HOahGJO+upaoEAB+vfvT+vWrZkyZUqaKyIbG5scVR8HBwcCAgJeap969eoBKb+v1q1bY2dnB0C/fv2YMWMGAAUKFKB79+4A9OjRg5UrV3Lz5k3u3LnDmDFjdMeKjY195dhtbGyYP38+M2fOTHOi0OfixYs8ePCAJk2aYGVlRc2aNfH392fYsGEA1K9fHxsbG93VqJOTE5CyKNfTp0/57bffuHXrFn379gVSWo7vvPNOus8lVUREBI8ePaJ169YAaWZgtrW1ZevWrVy/fp2bN2/y7Nkzg/GrVCqSk5PTbU9KSkKr1WZYlqenJ+fPn6dnz54AxMfHU65cObp168b06dPZtm0bN27c4M8//6R8+fK6YzZv3hyAt99+mz/++CNNeV26dOH8+fNs2LCB69evExUVlaX4XzR37lzGjh3L8ePHOX78OH379mX58uW0a9dO7z67du1i/PjxQMrf25YtW9J8pi1atABSfl+Ojo4AlCtXjqdPnxIXF0doaKju+wnw7NkzIiMjAf3no759+2JhYUGpUqV0q3auW7eOI0eOcOPGDX7//XcsLAy3C/J9cnjy5Ak///wzYWFhbNq0CUVRePr0KUFBQenem+G0tpaWaa6Krl27RsGCBRk6dCiDBg2iRYsWlCxZkosXLxq1HlmRWV23bdvG77//zrFjx+jfvz+bN2/W7Xf//n0GDx6c4+qTEUVRUKlUaDSaNNtTk51Wq033/tT3WlhY6H6XWq0WtVqNVqvlzTff1CWj5ORkHj9+/FoxNmvWTNe9ZMiOHTtITEykffv2QMrNXV9fX11ysLKySvP+F1sAqfF27NgRDw8P3f4vnqz/+53+7+zGCQkJhIeHc+XKFdasWcOQIUPo2bMnkZGRetcBeFG9evXYvHkzSUlJaWL9888/qVOnTpqp9lPLSk5OZujQoQwfPhyAp0+folarCQ0NZfLkyQwbNoz27dtjYWGRJobU37FKpUoX2+bNmzl48CB9+/alSZMmXLlyJUvxpwoJCeHZs2d06tSJXr160atXL/z8/Ni+fbve5BAWFsaVK1dYuHAhixcvJjk5mfDwcP7880/effddIO2iamq1Os3+Wq0Wa2vrNBdCDx48wNbWFsja+ejWrVuUKFGC3r1707VrVxo2bEj16tWz1PLP991KAQEBNG7cmGPHjnHkyBGOHj3K6NGj8fX1zdL+DRo00GXna9euMXLkSEJDQ6lQoQLDhg2jTp06BAcHZ3j1ZGr66jpr1iwGDRpEw4YNmT59OlWqVOHGjRu6/S5cuJAj6/NfdnZ2XL16FUVROHLkSIbvef/99zly5Iiua8bPz49GjRoB8Pz5c91+O3fupEWLFlSuXJno6GjdleiOHTuYMmXKa8ea2r0UHh6u9z2JiYns2bOHDRs2cOTIEY4cOcLhw4d59OgRv/32W5bKadSoEUFBQTx58gRFUZgzZ46uyyIjRYsWpXTp0hw/fhxI+c6sXr2akydP0rFjR3r16kWxYsX47bffsvQdaNCgAVWrVmXRokW6tVdCQ0P58ssvGT9+fIZlNW7cmICAAOLi4tBoNIwbN07XFfT+++8zYMAAKlasSEhISJa/hydOnKBfv3507dqVhIQELl26lO5CITMFCxZkxYoVupFliqJw8eLFTFvQO3fupG/fvoSEhHDkyBF++uknunXrluVzS9GiRalYsaIuOZw4cYKBAwdmuk/Dhg3Zv38/iqLw5MkTBg0axF9//YVKpWL06NG670NWPrd833LYtWtXmn48gIEDB/Ltt99SsmRJg/tPmDABDw8PunbtiqWlJUuXLqVmzZr4+vrSqVMnFEWhYcOGXL161VhVyLLM6lqqVCm6dOlCoUKFqF+/Pi1atND1yTZt2hQfH58cU5/Uew4vatiwIZMnT2b06NGULFkSR0dHXfP7RTVq1OCjjz5i8ODBJCUlUatWLebOnav7+YEDB/Dy8sLBwQFPT0+sra1ZvXo1CxcuJCEhARsbmyxd8RuS2r304Ycf6rZ169aN9evXU7p0aSBlCOQbb7yRpuvHxsaGPn364Ovrq+tGyUyNGjUYP348Q4cORavVUrNmTUaNGpXpPsuWLWPOnDksW7YMOzs7li5dSmRkJFOmTGHfvn1YWVlRv379LA3BBfj888/x8vKiS5cuqNVqihcvzrJly2jUqFGGZTk4OHDp0iX69u1LcnIyzZs3p0ePHoSHhzN+/HjdkN7atWtnOYahQ4cyZ84c1q9fj42NDe+9916W9wVo3Lgx48ePZ/To0bok17x5c8aNGwek3Ht0cHBgwIABQEpi37t3L5s2bUpznGHDhqXpyjQk9fP59ttvsbKywsvLK9Ob6G5ubixYsICuXbsCMHPmTBwdHalZsyYdO3ZEpVLRrFkzTp8+bbBsmbJbiP/34mgnIfK7fN+tJIQQIj1pOQghhEhHWg5CCCHSkeQghBAiHUkOQggh0pHkIPK95ORkfvjhB3r27Em3bt3o1KkTy5YtIzEx8ZWOFxMTw5AhQ3Svu3XrxtOnT7MrXL3lCJGdJDmIfG/OnDmcPXuWjRs3EhAQwPbt27lx48YrT2EdHR3NhQsXdK8DAgIoVqxYdoWrtxwhspOMVhL52t27d+nSpQvHjx/XzU8EKRO5nTlzhiZNmjB37lwuXbqESqWiefPmfPLJJ1haWlKnTh1GjRrFiRMnCA8PZ8SIEbi5uTF48GD++OMPqlWrxs6dO3nnnXc4efIkISEhBAUFYWFhwa1btyhYsCCenp5UqVKFmJgYFi5cyJUrV0hKSsLJyYlp06a9VDn/nX5BiNchLQeRr4WFhVG1atU0iQGgVKlStG/fngULFmBra8uePXvYsWMHly9f5vvvvwdSnoK1s7PD19eXNWvWsHjxYhISEli8eDEFCxYkICAg3Qn71KlTzJw5k71791KvXj3d7JiLFi2iVq1a7Ny5E39/fyIjI/nhhx9euRwhXle+nz5D5G8WFhaZzrFz7NgxfHx8UKlUWFtb079/fzZu3KibgqJNmzYA1KpVi8TERIMzfdaqVYsyZcoAKesapE7wGBISwoULF9i+fTuAbt2AVC9bjhCvS5KDyNfq1q3L9evXiY2NTdN6ePjwITNnzkSr1aaZy0ar1aaZ8fXFmUABgzN9vjiT5ouzh2q1WlavXk2VKlWAlJlIXyz3ZcsR4nVJt5LI10qXLo2rqyuffvqpbp2G2NhY5syZg62tLc2aNWPLli0oikJiYiJ+fn40adIk02NaWlqSnJz8UifwZs2asWHDBl05Y8aMYcuWLdlejhBZJclB5HuzZ8+matWq9O/fn27dutGnTx+qVq3KggUL8PDwICIiAldXV1xdXalUqRKjR4/O9HilSpWibt26dO7cOcOZYTPy2Wef8ezZM1051apVY8SIEdlejhBZJaOVhBBCpCMtByGEEOlIchBCCJGOJAchhBDpSHIQQgiRjiQHIYQQ6UhyEEIIkY4kByGEEOlIchBCCJHO/wFaL809k8IRwQAAAABJRU5ErkJggg==", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "col = \"Gross domestic product: % growth : 2016\"\n", "\n", "ax = sns.boxplot(data = data, y = col, x=\"Continent\", width=0.9);\n", "\n", "ax.set(title=\"GDP distribution of countries by continent 2016\");" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Visualizing Relationships\n", "\n", "In addition to visualizing the distribution of features, we often want to understand how two features are related. " ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "\n", "#### Scatter Plots (2 or more numeric features)\n", "\n", "Scatter plots are one of the most useful tools in representing the relationship between two numerical features. They are particularly important in gauging the strength (correlation) of the relationship between features. Knowledge of these relationships can then motivate decisions in our modeling process.\n", "\n", "In Matplotlib, we use the function plt.scatter to generate a scatter plot. Notice that unlike our examples of plotting single-variable distributions, now we specify sequences of values to be plotted along the x axis and the y axis." ] }, { "cell_type": "code", "execution_count": 118, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "wb = pd.read_csv('https://raw.githubusercontent.com/fahadsultan/csc272/main/data/world_bank.csv', index_col=0)\n", "\n", "ax = sns.scatterplot(data = wb, \\\n", " x ='Adult literacy rate: Female: % ages 15 and older: 2005-14', \\\n", " y = \"per capita: % growth: 2016\")\n", "\n", "ax.set(title=\"Female adult literacy against % growth\");" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "In Seaborn, we call the function sns.scatterplot. We use the x and y parameters to indicate the values to be plotted along the x and y axes, respectively. By using the hue parameter, we can specify a third variable to be used for coloring each scatter point." ] }, { "cell_type": "code", "execution_count": 119, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sns.scatterplot(data = wb, \\\n", " y = \"per capita: % growth: 2016\", \\\n", " x = \"Adult literacy rate: Female: % ages 15 and older: 2005-14\", \n", " hue = \"Continent\")\n", "\n", "plt.title(\"Female adult literacy against % growth\");" ] }, { "cell_type": "code", "execution_count": 120, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ax = sns.scatterplot(data = wb, \\\n", " y = \"per capita: % growth: 2016\", \\\n", " x = \"Adult literacy rate: Female: % ages 15 and older: 2005-14\", \n", " hue = \"Continent\", \\\n", " size=\"Population: millions: 2016\")\n", "\n", "ax.figure.set_size_inches(8, 6);\n", "\n", "ax.set(title=\"Female adult literacy against % growth\");" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### Joint Plots (2 or more numeric features)\n", "\n", "`sns.jointplot` creates a visualization with three components: a scatter plot, a histogram of the distribution of x values, and a histogram of the distribution of y values.\n", "\n", "A joint plot visualizes both: relationship and distributions. " ] }, { "cell_type": "code", "execution_count": 121, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sns.jointplot(data = wb, \n", " x = \"per capita: % growth: 2016\", \\\n", " y = \"Adult literacy rate: Female: % ages 15 and older: 2005-14\")\n", "\n", "# plt.suptitle allows us to shift the title up so it does not overlap with the histogram\n", "plt.suptitle(\"Female adult literacy against % growth\")\n", "plt.subplots_adjust(top=0.9);" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### Hex plots\n", "\n", "**Hex plots** can be thought of as a two dimensional histograms that shows the joint distribution between two variables. This is particularly useful working with very dense data. In a hex plot, the x-y plane is binned into hexagons. Hexagons that are darker in color indicate a greater density of data – that is, there are more datapoints that lie in the region enclosed by the hexagon.\n", "\n", "We can generate a hex plot using `sns.jointplot` modified with the kind parameter." ] }, { "cell_type": "code", "execution_count": 125, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sns.jointplot(data = wb, \\\n", " x = \"per capita: % growth: 2016\", \\\n", " y = \"Adult literacy rate: Female: % ages 15 and older: 2005-14\", \\\n", " kind = \"hex\")\n", "\n", "# plt.suptitle allows us to shift the title up so it does not overlap with the histogram\n", "plt.suptitle(\"Female adult literacy against % growth\")\n", "plt.subplots_adjust(top=0.9);" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Temporal Data: Line Plot\n", "\n", "If you are trying to visualize the relationship between two numeric variables, and one of those variables is time, then you should use a line plot.\n", "\n", "Line plots are useful for visualizing the relationship between two numeric variables when one of them is time.\n", "\n", "In seaborn, we can create a line plot using the function **`sns.lineplot`**. We use the `x` and `y` parameters to specify the variable to be plotted along the x and y axes, respectively." ] }, { "cell_type": "code", "execution_count": 130, "metadata": {}, "outputs": [ { "data": { "image/png": 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FX+GCbqJ92CfDSM8/RSLiv3nzZg466CBUVaW+vp4PP/yw0wT3scceC8CYMWNoaWnpC3MlEkkv4l3/XxAm7okz221XVAtFZyyk8NizqHrmdioevYLKp24hVLMT0WZGV2+MVPOMiL8Zs0pwOhmwnn/OlO906Z2nO89/2rRpLFq0iBUrVnDEEUcwaNAg3nrrLXRdp7S0tN2xkfUKiqJk/BcskUh6H8/aT7ANKsNePLLTPkVRqX3td9HFX3pzLdX/XELZxfdizS4A9qV5RsXfMLudI+htpOefIlarlSlTprB06VKOOOIIjjzySB577DFmzZrV16ZJJJI0orc2EtixBvfEmTEFWxh6u1W/EH4BCGPfqn2tcQ+KIws1KxeAkG5ikeI/cJg1axZ+v5/Ro0dzxBFHUF9fz3e+852+NksikaQR7/pPAUH2xGNi7k9k8Ze2N80z8vLQdBNVlRO+A4bTTz+d008/HYDc3FzWrl0b3Rer3POwYcN4/fXXM2qjRCLpXTxrP8ZePBL74GEx91vceZQsWNSu4FvR3KswtWD0GL1xD/aSA6I/a5qBqiqyk5dEIpH0R/TmWoK7NlDwnfPjHqMoKvbiEZRdfG841CMEdW8+jtZQSdlF92LJykFrqsE9/qjoOVHPP4OrfGXYRyKRSBLEs24FQNyQTwRFUbFmF2DLK8KWX0zBrPMwPE00/PtZ9OY6Ss+/A/fEmdEMIN0QGY/5S89fIpFIEsSz5hMcpaOjWTqJ4iw7iJJzFqMIg6pn7+hU/18zTOy21NYlpcqA8vxNM8OVj/oAmQoqkfRPtIYqQnu2dMrtTxT74DJqX/99pxRQw9sMQpBhx3/giL/b7Wb37t2EQqFvrUAKIaivr8fp7FkzB4lE0rsIYWIGfZT+4C7cE45qt2Ar4WvESwHV9Qy2bd/HgAn7DBs2jLq6Onbs2JFQl6tQKITdbs+AZcnRnV1Op5Nhw2JnEUgkkswTbdf4wgMptWuMEEkB7dj5S1isQCgNlnfNgBF/VVUpLi6muDh+l5u2lJeX90k3rO7or3ZJJJLYGN7maNomxF6xmwixUkBLFixCt7lBSPGXSCSSfkUiK3YToWMKaKTgm8ffN/260xrzf//995k/fz6nnHIKd999dzqHkkgkkrSQartG0xSdqnW2TQG1ZhegKCqGITJdzRlIo/hXVFRwxx138Pvf/55XXnmFtWvX8sEHXde4lkgkkv6GxZ1H0anXtGvXWLJgUbftGps8Qeqauu/qlenevRHSFvZ55513mD17drSN40MPPRStbimRSCQDBaGFwu0a598Qrssfoz5/LAIhHU3vXth13cj4Ai9Io+e/Y8cODMPgiiuuYN68efztb38jLy+xxsYSiUTSXwhWbSZYuRHT19wuXNPteSEDfzCBzETdRMlwUTcARaQpaX7x4sV8/fXXLF26lKysLH784x9z6qmnMn/+/C7PCwaDrF69Oh0mSSQSSdI4tq4ga+N/aPru9Qh7Vvcn7KWiLoimCw4c0vW6ncqGECHdxGZRCIQEo0t7ts5n8uTJCUVZ0hb2GTx4MEcddRSFhYUAnHDCCaxatapb8Y+Q6AeIR3l5OdOnT0/5/HTRX+0CaVuqSNtSo7/a1tGuPVvfQSss5dCjjk3qOrbNtYQ0k6njirF04dm7dzRgGgKrVcUb0Jg2Nn46e1f3LFnHOW1hn+OPP56PP/6YlpYWDMPgo48+YtKkSekaTiKRSHodIQTB3RtxDB2X9HmabqLQ/YSu3ge1/CGNnv8hhxzCpZdeyvnnn4+maRxzzDGceeaZ6RpOIpFIeh29uQbD24xz6JjkzjMECEAJl2t2dFG0TdMzX9QN0rzI66yzzuKss85K5xASiUSSNoK7NwIk7fmHe/KG9V/vIuPHNAVCCFRFwcxwzbIBU9hNIpFIMk1g10YUmwN78YikztNNgRCgohDQjLjHGXuP6wuk+EskEkkcgrs34ig9CEVNLiyj6yYoYLEoBEPx0z0N0+yT1b0gxV8ikUhiYmpBgtXbcA4bm/S5umGgoGC1qASC8T3/TPbs7YgUf4lEIolBaM82MA0cZcmLfzBkYFEVLBaVQBcLvaT4SyQSST8jEJ3sTV78A9pe8VcVdMPsVOAtQrztmUCWdJZIJAMCIUwMb3O7csjJNFNJluDujVjzi7Fm5yd9bihkoFr2BvOVcK6/Jca8gRR/iUQi6YJoN60OjVCS7aaVDIHdG3COmJjSuSHNxOXYJ6/xcv1DuonaB0XdQIZ9JBLJACBeNy3D25yW8fSWeozWBpxJ5vdDOI6vG+1X7cbL9dd1o09W94IUf4lEMgDorW5aiRLYvQFILd5vmO2FXkUhGCfXX9Ok5y+RSCRxSbWbVqoEd29EsdpxlIxM+lxNb5+7b7EoBOLk+mt9VNcHEhB/0zT585//zM0334zH4+Hxxx/HMOLnrUokEklvk2o3rVQJ7N6IfciBKBZb0ud2nMS1WlSCcXL9Q4bZJ41cIIEJ3/vvv5+Ghga++eYbAD766CNqa2tZvHhx2o2TSCQSADPgpeH9pZSceWM068daOCQ9k72mQahqK7mHnZLS6bphhov67MViUeM2ddF1A7sj+RdMb9Dtnfv0009ZsmQJDoeD7OxsnnzyST755JNM2CaRSCQABCrWE6zchKkFELpG9bJ78az8T1rGsrRUIwwtpXg/QLBDHD9err8Q4Qbv/TbsY7VaUdV9h9ntdqxWmSEqkUgyR6BiLVisOMrG4Bw+AUfZGJo/ewVh9n4I2tq0GwBniuIfCun7cvwjKJ3r+vdljj8kIP5jx47l2WefxTAMtm7dyu233864ccmnP0kkEkmqBHauw1k2BtVqR1EU8o86Hb2pGu+Gz3p9LGvTbiw5g7DmDkrp/JBmYFU7S2vHdM9+L/633XYba9asob6+nvPOOw+fz5dwvP+CCy5gzpw5zJs3j3nz5rFy5coeGyyRSPYvzJCfYNWWdguussYejrVgCM2fvkxvtSEXwkT3NDLyxPMpPv16hOi6A1c8gpoZs22j1lH8u+nwlW66jd9s3bqVX/7yl+22rVixgqOPPrrL84QQbN++nX//+98yTCSRSFImsHsjCLOd+CuqhfwZp1H31h8J7FyLa2TPWsT25grikGbgdrWfxFVRCHXI9TdN0W5iONPE/VRr165lzZo13HzzzdF/r1mzhpUrV3LnnXd2e+GtW7cCcMkll3DaaafxzDPP9JrREolk/yGwcy0oaqfVttlTvoOalUvTpy/1eIzeWkFsGCamKTot3LJYFPwdcv0NU/RZLX/owvN/7rnn+OSTT6ipqeHqq6/ed4LVyoknntjthVtaWjjqqKP42c9+hqZpXHjhhYwaNYpjjjmmdyyXSCT7BYGd63AMGYXqcLXbrtoc5B12Co0f/oNQ7U7sRcl122pLb60g1k1BrLR9S4xcf9MUfen4o4huAmYPPfQQCxcu7PFATz31FJWVldx6661dHhcMBlm9enWPx5NIJN8CTJ38d39FcMR0/ONP6LRbCfko3vgv8o47B9VdgC6gqqEVr8+X1DAHlQ2m+YV7270ArHlF5C1YzOZd1QlfJ6CZVNQGcTvbF3EzTYGmC0YNcUa3NXl16lp0shzhAIwQgkBIMLrUSU+YPHkyDoej2+O6DcYvXLiQN954g48++ghN05g5cyann356txf+8ssv0TSNo446Cgh/sGRi/4l+gHiUl5czffr0lM9PF/3VLpC2pYq0LTUSsS1QsY5K02DkYcfjHtf5WCFMgsOLqHnpN9FY/agFi7CPH5dwrN4MBah983GK5l5F7Wu/6xDzL2N6ybCEP1OzJ4hzVxN57s7a1ewJMnVccXQyeHeNh7omf3R+wBQCb0Bj2tjiuNfv6p4l6zh3e3eefPJJHn/8ccaNG8ekSZP4y1/+wu9///tuL9za2sr9999PMBjE4/GwfPnyhMJFEolEEsG/cy0AzuETYu43vM1R4YfkY/VCmNS88jDeNR+DxUbZxfdS8qOHKbv43pQme42uQjkdcv1DutFnRd0gAc9/+fLlPPfcc2RnZwNw1llncfbZZ3PllVd2ed7xxx/PypUrOf300zFNk/PPP59p06b1jtUSiWS/ILBzLbaiEViycmLuTyVW37YpjOFtwmhtYNAJF+EaPh6AlRu2pvxtKRTSsXYh6Hqbuv4dyz5nmoTiMBHhB8jJyUk4fHP99ddz/fXXp2SYRCIZ+PSk+5YwDQK7NpBz8Ky4x0SqfXaM1cer9hkrpbN43vXYh45J7oPFIdy+Mf7na5vr35cVPSGBsM/QoUN5+umn0TQNTdN46qmnKCsry4RtEolkABMR2sqnbqHi0SuofOoWQjU7E148Farejgj5u+ymZXHnUbJgUbtqn8WnL4xb7TNWSmfNy7/B9LUk+eni2BwyO5d22IvSIddf0/q5+P/85z/n3XffZerUqUydOpW3336bO+64IxO2SSSSAUxPc+e7i/cDKIqKvXgEZRffy/CrH6PotOuof/dptNqKmMenuylMcG/j9lhY29T1F0KgmyZ9qP3dh328Xi9Lly7F7/djmiZutzsTdkkkkgFOT4U2sHMt1oIhWHMKuzxOUVSs2QVAOPdfa6yi9vU/UHbRPSgdmqYLXUsqTJQMQgg0w8Rp79yrF8K5/oG9uf7m3ro+Sh9O+Hbr+V988cV8//vf5+2335ZlGiQSScL0pPuWECaBinU4hyfXQN2SlcvgEy8hWLmJli/fbLfPt20lta//nqJTr05LUxjDFAhTxBV0q0UloOnRY/t0hRcJeP7/+c9/+Oijj1i+fDkPPPAAJ510EmeffTbjx4/PhH0SiWSAYnHnUTz/BmpefLBd7nwiQqvV7cL0t+IaET/kEw/3pJm4Vn+AZ8PnZI2dAQoILUTjh/9EhLzYisJholQmobtC79C+sSMWVUHTwuUfjDgrgTNJt+KvqiqzZs1i1qxZbNmyhVtuuYXnnnuOdevWZcI+iUQyQFEUlVDdLgad+EOsBUPQG/cgFBIS2sDOsL50Ndkbf1yFojlXotXvpuqZn0VfPEWnXoOteCRWV3b3F0kBPZESzQpoexu79LHj333YR9d13n77ba644gouuOACpkyZwksvvZQB0yQSyUAnsP0b6t76M7a8YmpeeZiWz15L6Dx/xVosOYVY80tSG1hRoqt1ITzXUPvqI2BoqV0vARIq0SzC3xD6upwzJOD5z5w5kzFjxnDWWWfx8MMPY7fbM2GXRCL5FqDVVWAvGobqcJE96Vg833yAceIPsThjJ45E1gXkTv8euYeeTDgwnnx8JN1ZPbHoWK8/JntX+ZpiAMT8//73v3PAAQdkwBSJRPJtQgiTUN0ucqaGC7LlTjuJ1q/fwfPNB+QdPjv28b1UUz/ZxV+9QTDU9QIvCOf6B0MGitK3mT6QQNhHCr9EIoF9na605lp0T2O3i7X05jqEFsQ+OFwYzVF6II7S0bR8/XbM7lu9VVMfYi/+6q2snniEusjxjxDJ9df6uLQDJFjeQSKR7N+k4pVrdeGFVm3r7OdMO4m6N/5AcNeGzmP0Yqim7eKv3s7qiUdQN7DEWd0bIZLr7wAs/d3zr6ury4QdEomkH5OKVx7au8rWNnhfSeTsSceg2F20fP125xOEmfK6gFhEFn/Z8oqwZhekVfghsbCPVVUIaDqaZpBmc7ql2+F/8IMfZMIOiUTSj0nFKw/V7cKSXYClTWqlaneRM/k4vGtXoIT80e2Gr5W6d5+maO5VGQ3V9BamKdCN2I3b22KxqOi6SaiP6/pAgoXdvvrqK0yz71OTJBJJ35DKal2ttiIa729LzqEnIQwNe+U3QPjFUv3ig/g3l6O4sqN1elKtqd8XGEnooyBcy7+vwz7dfp/asmUL559/PlarFbvdjhDh5ctfffVVJuyTSCT9AIs7j5Kzbqb6+fsSWq0rhAhn+hzy3U77HCUHkD3luxSPPwKtuRajtR6hBSma82OcJaNSsq/ZE8TtsmG19M2LQjeSyNsU4fIOfe35dyv+zz77bCbskEgk/RhFUdGaqsOrdfemUKqu7Lheud5Si9AC2IuGd9onhEnuoSdRs/xX+2rqn74QR4o19f1Bnc0VTRw0PJ+87NRbv/aEpBZtKYAYAKmeQ4cOpbm5maqqKiorK6moqOCTTz5JeID77ruPRYsW9chIiUTS93i++YD6t58ERaX6+fsJ7oxf4kWr3QW0n+yNYHibo8IPe2vqv/RQSimdQgh2VbcS1Ay8gfSt3u0OLQnxV1JYtJYOuvX8Fy9ezHvvvUcwGKS4uJidO3cyffp0zj777G4v/umnn7J8+XK+853v9IatEomkjxCGhn/7KrInHYe9aDiK3Ulg13qyJx8b8/hQJM1zcAzPvxdTOptagzR5guRnO2jxhigbnPQlegVNMxMWdYtFwR80uj8wzXTr+a9YsYL33nuPE088kT/+8Y/85S9/wel0dnvhpqYmHnroIa644opeMVQikfQdgYr1iFCArIMORVEtOMvGEIiRqx8hVLsLizs/Zu/dnpR6botumOysbiHbZcdmVfH5tWid/EwTSiDHP4LTZsFp7/slVt1aUFRURFZWFgceeCAbN27khBNO4O677+72wrfffjsLFy6kqqoqJcNWr16d0nltKS8v7/E10kF/tQukbanybbfNtf49HIqF9Y06lJfjtOTirFlN+WefgrVzva+cHesRjryYY7uzshh+xg3UL99X6nnQGTewuWIPXt/WhG2qb9Fo8Oi4neHmKV6/QaBpJw5bzyd9k71nlQ0hQrqJ3Zr62EIIAiGB2Rq7C1mqtsWjW/G32Wx88cUXjB49mg8//JAZM2bg8/m6POef//wnpaWlHHXUUbz44ospGTZ58mQcjtQnb8rLy5k+fXrK56eL/moXSNtSZX+wraJ8KdaRExk94ygAfHkKe7Z8wsSSbFwHHNzuWCEE299/iJwp32FcnLGFMNEXLCbL6Yiuvh0/NHHh9Ad11myt5wC3HXXvxGmzN8joofnk5/Rs0jeVe+baVo+Cgq0H4m8KgTegMW1scUq2BYPBpJzmbi294YYb+Pvf/86sWbNYv349Rx55JKeddlqX57zxxht88sknzJs3j4cffpj333+fX/7ylwkbJZFI+g96cy1abQWugw6NbnMMHQtAYPfGTscbrfWIkD9mvD+Coqhs3lWd0upbIQQV1S3YrWpU+AGsqorHH0r4Or1JV717+yvdev6Rxu0Ay5Yto7W1lZycznG8tvzlL3+J/vvFF1/k888/59Zbb+2ZpRKJpE/wbfkagKzR+8Tf4srGNnhYzBo90bIORZ0zfXqDxtYAzd4QBdnt5x5tNpVWb8/FP6mcfcI5+6bR93n7yRJX/LubqH3sscd63RiJRNL/8G35CmteEbZBQ9ttdw4dh3fjZ9GFnxG6yvTpKbphUlHdSraz8zyDzaLS4g1hmCJlL1zTDXbVBZnk18h22RI6xzC6bt/YX4kr/ieffHKvDDB//nzmz5/fK9eSSCSZRega/m3fkH3wcZ0WJTmGjaN15XtoDZXY27wYtNoKLO48LFm5vW5PdYMP3RC4nZ3DRIqigALBkE6WMzHh7khIMwlogk07Gxl/QCEuR/dZOXo/6MqVCnE/2RlnnJFJOyQSST8kULEOoQXahXwiOIeNAyC4a0M78Q/V7Yq5uKunGKagut5LTlb8boIK4eqaKYu/bmBRw98iNu59AThsli7P0Y2+78qVCt2+1qZNmxZzGbKs7SORfPvxbfkaLNZOGT0AtkFlqM5sArs2RGv4RGv6TD6u120JBHUEtJvk7YjFotLqC1GQ2/1apFgEgzqqquB0WPEGNDZXNDF2REGXWTzfurBPhNde29dwORQK8frrr+NyudJqlEQiST+RfrldNTvxbfkK14iJqPbOYqooKo6hYwjs3jfpa7Q2III+bGmI9/sSKN/gsFpo8aVe5sEb1InUhnM7bbT6Q2zd3cRBw/KxxCkaF9SMLl9I/ZWEavtE/hs1ahRXX301b731ViZsk0gkaSLSmavyqVuoePQKKp+6hVDNznatGbXmGrS6XbhihHwiOIeNR6utwAh4gTaTvTEKuvWUZk8Qh7XrEIzVqhIM6skVWmuDP6C3myzOcdnx+nW2V7W0Wz2s6SYt3hC7azzsqfdi66Nqoj0haYu3bNlCfX19OmyRSCQZIpHOXP7NkRTPaXGv49yb7x/cm+8fSfOMVce/J5imoNWnYbd3Lf4QDr8HQsnXzjFNEbMPb67bTmNrgIrqFiprPazZWs+qTbVs2tlIbaMPh82KM4GJ4f5GUjF/IQSapnHjjTem3TCJRJIehBCYfk/s4mp6KBoOspceSMk5t2EtLI17LUfZGFBUArs2kDV6GlrdLtSs3F7vvhXUDExTJBReURQIhHTcCaZqRtAMM+68bZ7bQX1zAFVRcNitfVY6ujdJKuavKAq5ublkZ2d3cYZEIulPtI3tYxo0fvoS7tHTonX5I1jzitCa6zA8TdS89FBCjdpVhwt70Yh2nn868vv9AY1Ew+p2i4UWb4hBecnNTWqaETdrR1EUct0DX/DbklDMf/PmzfzlL3/h6aefZs2aNZmwSyKR9ALurKx2sf2qZ+8kZ+IxYM+iZMGi9v1yz7wJ1WqLCj8k1qjdOWwcgd0bEaaBVhe7dWNPafaGsFm6D/lAeKWvJ4VJX00fmFk7qdKt+D/yyCMsWbKEnJwcnE4nt99+O3/9618zYZtEIukhpYU5nWL7ta/9DkfRMOzFI9r3yx1yAEpWfsxwkKHFF1PHsLGIkB//tlWYQR+2Xp7sFULQ4gklFO8HsFpUQpoRFvMk8AV0LOrAm7hNlW7DPq+88govvvhitJ7PJZdcwrnnnsuFF16YduMkEknPsCrEbZyiKCrW7IJ2+0zFEjMcZCrxhdc5bDwArf97F+j9yd6gZqCbZnIlG5TweclU2fQHtQGZtZMq3X7S/Px83G539Ofc3FyysrLSapREIukddEFSjVNCNjfuOT9pFw5yz/kJIZs75vEA1vwSLO48vBu/AMBeNKKXrA8TSLHrlT/Jto6+oI41wYYs3wa69fynT5/OlVdeyTnnnIPFYuGVV16hrKyMt99+G4CTTjop7UZKJJLUqGpoZeS866h9+bftJnDjZePkuBxUuYfgP2ER2Q4FT1CgZhVQ5oo/2akoCu7Js3ANH4/qykUIEyHMpMo0d0WrL4g1yXCM3WrB49MoKuj+WAiv0tU0kyxHamUhBiLdin9kgvfJJ59st33p0qUoiiLFXyLpx3i9Xpr+9xZFp10b9fhjreSNoKoKQwZl82WNF9XtpMETYMuWBoaVxE/dFMIke8JR1Cz/dUIZQsnS1Brqtr5OR+y2cMZPouxvk72QgPgvXboUAF3XEUJgs+0/b0aJZKCjeuvxb/0a94QjcY2YmNA53oDO3X/5nP932mS+3lhDRXUr3zvygLj16g1vc1T4YV+GUNnF93aaU0gWTTcIakZC1TXbYlEVdNNE0w1s3awKhnCO/0AsztYTun0t19fXc+mllzJ16lSmTJnChRdeSHV1dSZsk0gkPcRWvx0gZmG2eNQ0htu0Fhe4+O704dQ2+lmzNf6qfmHocSeVe4o/aPTIIU90pW8wZOx3nn+34n/XXXcxdepUVqxYwYoVKzjssMO48847E7r4b3/7W2bPns2cOXPadfeSSCSZwdqwA2teMbb8koTPqY2KfxYzJg/B5bDy/pfxm4orFmtSk8rJ4PGHUm7MoqDgCyT2AvIFNKz7UaYPJCD+27dv5+qrryY3N5eCggKuvfZadu7c2e2FP//8c/773//yyiuv8MILL7B06VK2bt3aK0ZLJJLuEcLE2rAD1wGTkzqvptEPQFGBC6fdysxDyvhk1W4CwdhCanHndV4w1sWkcjI0twYTzu/viN2m0uoNJnRsIGjsd+Lf7atZ13WCwSAOR3i23+/3x6zv35EjjjiCv/71r1itVqqrqzEMQ6aISiQZJFS9HVUL4Ewi5APhsI/DbiHXHW6a8t3DhvPO5zv57+oqvjO98wIuRVGxF4+g8Ly7UYWOJlRqDAdDDLD1wPnXDRNfQE+5jo7daqHVr3VqMxkLb1DDvR9l+kAC4j979mwuvvhi5s+fj6IovPDCCwm3eLTZbDz88MM8+eSTfO9736OkJPGvnhKJpGf4t68GwDUyOc+/ttFPcYErKpgTRw2iuDCL97+siCn+EH4BVHos6IaC3Wah1Rek2asxelh+0pO1EQJBvUdxeFVVwpU6dbPLbCHdMMNF4wZYA/aeogghup3jfuGFF/joo48wTZNjjz2Ws846KyHvP4Lf7+eKK65g9uzZnHPOOV0eGwwGWb16dcLXlkgkscku/weqr4mWYy9P6rzH36zG7VT5wfH74vjvr2rmozWtLJxXSm5WbCHdVRfEFEQXSoU0E90UlBbYcDuTfwE0tmrUe3SyHKmFfQC8AZOhg2xdXiOomeysDeJ2pj5ObyCEIBASjC5NrQtZhMmTJ0cjNV3R5W9k48aNbN++nZkzZ3LmmWcmZcCWLVsIhUJMmDABl8vFSSedxIYNG7o/cS+JfoB4lJeXM3369JTPTxf91S6QtqVKf7RNGDrb3/81/iETk7bN89KbHDK+lOnTD4luKx3h4cPV79GoF3D89DExz8vZ0YhumNjbeNmabuIJhBgzojAaRorQ3X3buKORUt3EkWLMH8Dj1xic72JYcfxKxM2eII5dTeTtrdq5bv06JoyfkPKYqWIKgTegMW1scdxjurpnyTrOcWc4XnjhBX7wgx/wpz/9idNOO42PP/444YsC7Nq1i8WLFxMKhQiFQrz33nv97g9EIulrhDDRPY1ozbXonsZ2nbR6QrBqCyIUQC88IKnzAkGdVl+I4oL25ZDLirIZP7KA976sIIFgQRSbVSXLbmN3rSep8wxT4PGHsNt6Ngnrsluob/J3OXYwZKDsb3medOH5L126lFdffZWSkhK+/vprHnroIWbOnJnwhWfNmsWqVas4/fTTsVgsnHTSScyZM6dXjJZIvg1EWilGqm62XRkLdNtftyv8278BQC9Mrs5OJMe/qKBzcsYZs0ajqCqVdV6ynFby3I6E4uQOu4UmTwBvQCc7wQYrwZCOmcBEbXdYLCqGqeEP6mQ5Y4/tD+1fNX0idBn2iUzQTps2jcbGxqQvfs0113DNNdekZplE8i0nXivF0ot+ielriflSSPQF4N+xGnvJKIQ9uQy7SJpnR8/fNAVDBmdzz18+o2bvhPDiS2YwckhuQi8Au9VCdZ2X7OH5CdnhC+g9Fv4IAmjxaXHF3+fXsCZR/fPbQtxP3PHGWxJspCCRSBIj7srYUKDb/rpdYeohghXr2+X3+4M6/jh5+m1pu8CrLc3eYFT4IfySuPvJz2hOMI/e5bDS6AkmZENkvO6atSeKy2Glsdkfc194knX/y/GHJBq499ZbWCKRhIm3MpYuavAnQnDXBoSh4Rq5L7+/ss7DN1vq2FHVQiAU/zo1jX4sqkJBbvuME003o8Lf9thEG6YoioJVVahr8nV7bLR5S5LF3OJht1rwBnSCWudSD7phYorEegN/24gb9tmwYQOHHnpo9OdAIMChhx4aXTDx1VdfZcRAieRbixAUzbmK2td/1y68o9pdMRuqGK0NqK5sRCjQ5VyAf/tqUFScIybA6nUAeH0auVl2GloD1DX5KRnkpqTQ1anoWU2jj8H5rk4lFWxWleICV7sXQHGBK6lmKVkuGzWNfkoK3V0Ke2NrAN0wezXvXlHA6wvh6NDXV9NNkpiH/lYRV/zfeeedTNohkex3NH74D0J1uyi94BcAUTEHKFmwqF3Mv/j062n5+l1yDp5F7WuPdjkX4N/xDY6yg1Ad4dCNpptoukmW00aOy44pBNUNXmoafJQOzqK4IAvL3rBHeIFX53mCPLeDxZfM4O4n98X8b/vhEdH0yERQlXBOTUOznyGDY6de+gIa23a3kJNlj7k/VRxWC/UtAQo7iH9IMxNuDJ9O7DY1nBnltNLYGkh4Mr0nxBX/oUOHpnVgiWR/RmuopHXl++Qe9j1sHUI/QLS/blsPPz8rlz1/u6vL0slm0E+wcjP5R86LXivUIdyhKgp5bgeGKaio9qCqKiWFYcGvafRxyJjO9qiqwsghuTx43XEEgjrbq1rZVtnCgUPzk/rcbpedqgZfzGwi3TDZursZh83S6zF4h91CiyeEbpjtrh3QjD4P+dhtKiHd5Od//m9Kk+mpsv/Nckgk/YDGj/6JYrGSf/T8mPsj/XVteUVYswtQFBXFYoszF7CvXWGgYh2YRrsSzrFi3RCueW+zqtEceE03aWgJxPT8IfwCKMhxUjo4m5c/3MKydzcmlbsfGdM0BQ0t7SeKhRDs2NNCSDNwplgOoisic5Zef/vWjn5/31fztFlV7n3q85Qn01NFir9EkmFCNTvxrP6I3MNnJ9XsJN4EsVa3G9+mckzTQHVlU3rBL7ANHhZdMObxhRJKZaxv9iNE5zTPWJx4xAgq67xd1vmPR5bDRlW9B7PNi6O60U9jc4DcJMJIyWK1qjS2thdUX1Dv86btpqBHk+mpIsVfIskwDR/+HcXuJP/I05M6L1bp5OL5N9Dyv3dp/PifBHdtoGb5r6la+jMqn76VUM1O3FlZeP1aQhOzNXHSPGNxzJQyXA4r73zefXn3jtisKiHNxB8Mi1urL0RFdUtahR/AZbfS1BrANMMvnXCap46ljxd4qUrnF26yk+kpjZvWq0skknYEq7bg2/AZeTNOxZKVk9S5kdLJZRffy/CrH6Ps4ntxlB5IyenXM/iUy6l95eFO8wFDCnLwJ+jd1jTsXeBV2L34Ox1Wjps2lI9XVnYKpSSCy26lvjWcfrllVxNuhy3tE5yqqqAbAt/etQaaHm7d2Ndp7JpucstFR0RfAJGYfzKT6anQ+8E1iUTSCSHMcLkGYVJy9iKcwxPrp9uRyFxAOywqqis75nyAVQ2vcE1E4GobfSgKDM7vPuwDcNKMkfzrvzv48H+7OeWoAxL8BGEcdgtBzWRLRRMKSq/l9HeHRVVo8QbJdtkI9ZOm7SHNpK7Jz6XzDmbIoCzycxwZyfaRnr9EkmYiNXwqn7qFyr8sov5fT4QnanupiBvEnw8IGYlPyNY0+inIcSYcbhgzPJ+RQ3J457MdSdkawWZVCIR03AnW++kNXHYrdU3hbziabvSbpu3/21TLL5/6nN21HgpynBnpLSDFXyJJM/Fq+CRarqEtpilobA1Q0+ijsU38Ol4rxc2VTagJurc1jb6EJnsjKIrCiTNGsqmiie1VLUl/FrtVTXucvyNWq0pINwjsLXeRan/g3mZbZTPFBa6Mvghl2Eci6UWi4Z29+fmKzYHhbUqpXIMQAt0QUU/cNMPpkG0XWu3LB1djrg2oXvUZo/JLE7K9ttHPmAQLr0X4zqHDeOq1tbzz2Q5mTRuW1Ll9hYJCqy8UbtreDwq6mUKwvbKFyQcNzui4ff/JJZJvCW3DOxWPXkHlU7cQqtqC4W2JGZJRLF37Xo2tAarqvNGfm73BqPBD53zwWGsDAiGzUwmHWJimoLbJT1ESnj9AXraDIycP4d/lFehpTk3sLZx2K/UtAfyB/lHQrbrBhy+oM6osN6Pj9v0nl0i+JcQK79S+9jtsg8pihmQipRxiIYSgqs6HYewT1GSLq2m6gW6IhEIbkXo6iWT6dOTEGSNp9WmsTiHnvy9w2Cx4fRohLX3ib7epuF1WXE4rbpe1y6Y02yrD4b8Dy+I/D+kgrWGfRx99lDfffBMIN3e56aab0jmcRNKnxCvRDLHLNXRVm9/j12j2BMlqs9o12eJqwSTq1kTTPBPI8e/I1DFFHDGphDEj88nLtqOqCppuEtL68TeBNIb6Y5VruOXiI8LbY9yTbZUtZGfZGJTnjKahZoK0ef4rVqzg448/Zvny5bz00kusWbNGFouTfKuJl3GjWKwxQzJdUVXn7ZSbHymulmg+eLCL0s0d2dfBK7mwT4QF3x3Lo8v+xxX3vc/ix1YQ0s0et2BMJ05b+vzeWOUa7n3q87gv6a27mzmwLC/j6w3S9tspKipi0aJF2O12bDYbo0ePprKyMl3DSSR9jqlrFM25MqnwTix8AY0Wb7BTjRtVVXA6rFw672DuvfIYrjv30C6Lf3n9WsLZLMms7u1IszfIA898mbDY9QccdkvaFlHFK9cQqwxSsydIQ0sg4/F+SGPYZ8yYMdF/b9++nTfffJPnnnsuXcNJJH1Oy6cvEazZQekFdwMipd67EM66saqxEzRXbarj0X/+jwPL8vCHdP54ywlxr+Pxawn3pq1t9JOTZcOVQlG1eHMR+2ud/Ei5ho7huViO/bbKcIrsqAzH+wEUkWxZviTZtGkTl19+Oddccw1nnHFGt8cHg0FWr16dTpMkkl5HCfnI+8+jhEon4Tt4TsrX0QzB9uoAWQ4VzRA4bSpDCvbVtl/+aQObKgMcdpCbj9a2ctvZQ2MKvGkKtu4J4nIoXYYT/EGTgmwLb3zZjCdgcMUpJUnbXFx2AHc+Ud5J7G67aBpr1m9O+nrxyM91M7SsFNVixTR0dldW0dTi7f7EDJOf66ZgcCkPPfd1NOZ/0w8Opaa6spO9K9a1sq7Czw9PKEJRIBASjC51xrlyYkyePBmHo/tvNWmd8C0vL+faa6/l1ltvZc6c5P4gEv0AXY09ffr0lM9PF/3VLpC2pUp5eTmjjGoaTZ3Rcy7GXjQi5WvtqfNgz/WS63YQCIZXv44aus8rfOxf73DI2BIOO7iUD9d8xdADxjGsuHONIH9QR82up3LXViaMnxB3vFZfiNLBbpZ//hkHDM1P6R6bpujU6OWWi47AalO7HHvd+nVd7m9LZBL1nr2x9Mgk6siRsSdRe0IydsVCCMFzb6/nmrOnkp/jpKrOy64aHyPLRlBa1v7YN74qZ1RZHpMmTsQUAm9AY9rY4rjX7urvIFnHOW1BuaqqKq666ioefPDBpIVfIhlQmDotX76J68CpPRJ+wzCpavDhdsXuYlXf7GdPvY+JowYxtCjcCWt3jSfmsSHNSDijRQhBbaMvpXg/7Gv0cvcVR/PIDcdz6byD2VTR2KuinOwkal9S0+jni3U1rNxURyhk8IcXVvL6im2djguGDCprPX0S8oE0ev5PPPEEwWCQJUuWRLede+65nHfeeekaUiLpE+yVazG8TeTNOK1H12lsDWKa8fPy125tAGDiqELKBrsB2F0bO+zhD2gJd6jy+jUCISNmd61EUVWFVq+Gphv89Y21BEMGiy48vNdq1CQzidrXrN0WXu8wcVQhqqpw1MGlvLFie3gRXZuieTv2tGCKzOf3R0ib+C9evJjFixen6/ISSb9ACIFj+2fYi0fgGjUl5euYpqCqzkuWI35tl7Xb6nHaLYwemofFopKXbaeyLrbn3+rXsCewshegviUAJNbEpTsUReH/Dh/B06+vZdWWOqbGaAmZCslMovY1a7bWUzbYTUFOOHZ/xMQhvPXpdj79ppLTjh0dPW5rZTMKMLI085k+IFf4SiQ9wr9tFVZPLXlHnNqjPO1WX4igpncZxlizrZ7xIwujzdbLBmezuza2+HsSbOACUN8cEf/UPf+2TBk9mKJ8F+9/WZF0m8d4NDQFuPacae3WOCy66Ii0d7tKFl9AY1tlM5MOHBTdlpftYNKBg/l8bXW7EhjbKpspHexOKcOqN5DiL5HEQQgT3dOI1lyL7mmMWYK5+bNXMR1usicd26Oxquq8OO3xRcDr19he1cLEUYXRbcOKs6mMIf6abmCaIuGQS8Ne8U91gVdHVFXh+OnDqahuZVNFU69c87N11Sx9Yx13XHokv7sxPK+walNNv1tFvH57I6aAiaMGtdt+9MGleP0aq7bUAWCYgh1VrX0W7wcp/hJJTGIWaavZiRDmvpdCQxW5h56IOnUOijW1UrxCCJo9QTx+rUvxX7e9ASFgYhuPsqwom4aWIL5A+05awVByderrm/047BZy3bEnmlPh8Akl5LrtvPdl8m0eY7F6Sx1NniAhLVw24pUPt/D3dzbiSaGLWDpZs62ebJeNESXtM7DGjiygMNfJp9+EF7pW1nkIakafxftBir9EEpO4Nfh9rfteCn+4mvp3/kLJhEOTbsziD+rsqfPwzZY6Nu1s7Par/9pt9VhUhXEj9nXxGloUnvSt7DDpGwglnukD4bBPOH7eewF0q1Vl1rRhbNzZREV1a4+u5Q/obNndPpQy55hRBDWDdz9PrZFMOjBMwfrtDUw4oLDTty5VUThqcimbdzVT0+hj2+5wMbdRQ/sm3g9S/CWSmMQr0mYGfZ1eCvXLf5VQY5aQZlDb6GfdtnrWbK2jst6H3WohP8eJo5s2hmu3NTB6WF67kg9lkXTPDqEfj19LqGdvhPqWQI8yfeJx9MGlTD6wkMI8Z0LVLeOxbnsDpik4uI34Dxnk5oiJQ/h4VSUNeyes+5rtVc34gnq7b2dtOWLSEFRV4dNvqthW2UJ+jiM6KdwXyGYuEkkMIkXa2r4ArHlFIMyEG7OYpsAf1Gn1hWhoCeAL6ChKuJVgfnbif/SabrBxZyNzjhnVbnvpIDeKQqe4vyeJTB8Ix/wnjYotWD0hN9vOBbMn8qtnyxOqbhmP1VvryM6yMWJIey/55CNHUr6+mjc/3c73Tx7f6Ty7TcVmVTFFOFso3ZVG125tQFUVxrf5dtaWXLedU44aybRxxWS77BimmfS96E2k+EskMbC48yg+4yfULP91uBH63iJtqiMr5kuhbWMWjy9EXXOApr018lVVxWm3kJ+d2or1TRVNaLrZaRLRbrNQVJDVLtffMAXBoI4zwbFCmoHHr/XaZG9bbFY1Kvywb2HW3VccnbDg6YbJuu0NHDKmqFMopSDHybFTh1JZ68VmU7Fa1KjIA0mVVe4N1myrZ/TQvE4F+SLYbSrHTx/B/Uu/yJhNXSHFXyKJgaKotHz1DoNPuQLb4KHRIm0AJQsWRUM/1rwiBp1xQ3Sfppts3NmIxaLicth6pUfsmq37Fg11ZFhRNrvb5PqHNKNT7ntXHnCTJ9wFrLfSPNvSGwuztuxqIhAymBwnlDJn5igCQYO72oj8TRcchqooLPnrF0m9eCL36eBJ43HYrUl9U6hr9lPd4OOoyfFbZtqsavRllKhN6USKv0QSg1B9JZ5V72MfPJSs0VPb7evYmGVzxR7GDw3Hslu8QQTgdvZeI+612xoYVpxNXgxvvqzIzfovGxBCoCgKwZDRLtEnP9fdpQfc1Jo+8e+NhVmrt9Zjs6qMjRdKybJz/19XtBPU+5d+yZ0/OiqpF0+yDVg6snZbePX1pDgvKeh/q5TlhK9EEgPP6g8AJWb+fsfGLF6fL7qvut6Hq4uUzWQxhWDd9oa4ojK0KBtfQI+KuC+oYWmjrkPLSuPWxLHbVA4ZU8S9Vx7D4Hwnptm7KqTpJrdcfES7hVm3XJz4wiwhBKu31jNuRAH2OBPi8QTVblM7rVju6sXT09pBa7bWU1yQxeD8+OGzyMswUZvSjRR/iaQDQgg8qz/ENepgrLmJT4T6Ahq+oBZXqFJhT50Xr1+LGfKBzhk/Xr/WrmG7arHGFMegZuAL6DzwzJfc8vtPWPS7j8O1ZnrxBRDSTOxWlbuvOJqHrp/Fj+YdjGEkHkqprPXS1Bpk8uj4v4OuBDWZF09PvPJASGfLriYmHRj7dxShpy/D3kaGfSSSDgR3rUdvqqHguHOSOq+hJYhF7V1/asvefPCOk70RotU9a71MHj0YTTfbTYyahh4z9GJRVR545rN2nu7dT37Gg9cd16vph5FFWbtrPTz4bDlnHT+GYw4p6/5E4JutdSjAxAPii39EUO/tUOo5EDSiL55AyGBPvY899V6GFLpjXideiCryjSo7yxZz3sRuU0GxcvcVR+N2hed44r3cIsfffcXRCAFKBjKQukKKv0TSgdZvPkCxOXCPm5HwOYYpqG3ykdWLsX4I93ctzHVSUhg7Jj84P9zAPVaZB4DdlVX85Pzp/Ppv7dMtLaoS09NNlxdaNthN6SA3X66vTlj812ytZ2RpLjldrDzuTlBDmommmzz03FdMOKCQC06JXadf001u+MFhPLi3HWVxgYufnD+dJ19dQ57bxtknju80H+B2WfEG9E4vnq7mCSIvw/6AFH+JpA2mHsK7bgXucTNQ7YmnP3p8IUwjfjnmZLHbVFwOJ2efMBYBUWHriEVVKBvsjlvgrbHZw7srN3DtOdMoyndFxVGJ4+mmqz6+oihMn1DMax9vo67J32VsHKCxNcCuGg9zO6xtiEV3gmqzqkwfX8x/V1fhCxwU8wXtDxose3cDV511CIW5dhx2G5pu8n+HD2dwviuangn75gPu/NFRMecJ+ip7J1lkzF8iaYNvczlmwEv2wbOSOq+6wdftKt1EiWSe3P7HFdz8u4/59d/Ku4zHlxVlxy3t3OAx+GpDLd9srsMX0PH69ag33DH+vPiSGWlrag4wfVwJCvDl+upuj42kt04ePbhXxj5i0hB0Q/D1htqY+1dtquXLdTXsqGrlmzXro/dpzPACyga7Y35LUuN8e+qPPQZiIcVfImmD55sPsGQX4Drg4ITP0XRBizeEw9474h8r8+TuJz+j2RuMefzQomyq6rwYRmdvs6I2fM6EA9pPRkYmY39+2VH88ZYTePC64xg5JLfXmq/EIj/HwUHD8ylfXxO31LPdpuJ2WTny4FJuv3QGw0uye2XsYUXZlA1289naPZ32CSF4v7yCogIXk2JMLquqEnNS2WqJvb0/9hiIRVrF3+PxMHfuXHbt2pXOYSSSXsHwteLb/DXZk45FURMXco9fR1XotcJo8TJP4sXjhxa50Q3R6RyAitoQQ4tirxEIaSa1jX4UJbxaNp3CH2H6+BLqmvzs2NO52FvkG8/ix1Zw48Mf8dgLqwjpZkr1gDqiKApHTBpCRXVrp29Jm3c1savGw/GHDo/Z/Sxelo5pin6VvZMsaYv5r1y5ksWLF7N9+/Z0DSGR9CqetZ+AqScV8hFC0OQ1GNZFB65kiZd5Ei8e3zbdM8u570/aH9DZ06Txf4fFX3WaaQ45aDAvvL+J8vXVTOxgVrpXwE4fX8KrH23l8zV7OH3WQdHt739ZQU6WjcMmlMQ8L96kstev96vsnWRJm+e/bNky7rjjDoqL43eil0j6A5H6/I7SAxly7s+wFyfehN3r19ANgbUXJ0o13WTh+YcmHI+PpHt2zPjZsLMRIWBCnDUCfYHTYWXy6EF8vaEGo8McRrpXwGa7bEw6cBBfrq9B3xsiq6z1sH5HI8dOHdrlZHdIC4t923mTrrYPBNLm+d9zzz09On/16tU9tqG8vLzH10gH/dUu2P9sc2dlMTzXRv3yB9vV6qlo0dqt3I1HdaOGxaKwbv26XrOpyaOzcqfg2rOnkJ/tQFVMWpsq+bpqc8zjhRA47Qr/W7sN3ZuFooDVovDpNy04bAr+pt2sa6mMea4/aFJXZWF3Ts+/ueyuD6IbotuMoZLsEF8HdHbVhbC0uW8Hjjow5jeeQMDPuvWxP3uylOVprNqs8fZHKxk1xMm/V7VgtSgUuTztfoe9+ftMFCEEgZDAbK3o8rje+jvot6mekydPxuFIPfOgvLyc6dOn96JFvUN/tQv2T9t0TyOVT93SoT7/gxx08b1Ys2PXk4mg6SarNtexe+dmJoyPnT+eCn/713q2VtbiDwpy3SojywqgtOuVxiM/+RANK+PHj0NBwWJReO7DTxk6yM6kiRPjntfqC1E62M2QQbEXPyXD8AYfFTWt3WYMjR1j8vG6/7KpMsD3jpsKwCcrK/ng9Q0sPO9QHnruq3Z581ar2mv3d+xYwafr/8vuZitHTR/Flrc/Z+YhZUw9eF8YaN36db36+0wUUwi8AY1pY+NHS7r6OwgGg0k5zf1W/CWSTBCvaUus+vwdafEGAdGrHbAamgOUr69m5iFDyXYl7o2XFbn5Zkt99OfdtR5afRrTR+d0cVbvkp2VmL0Wi8rsow9gzPACnA4LXr/GN1vqsFgU3E5bWmPoFlVhzjGjOKAsj7xsB4suPJzcBO3+tiHFXzIgEcLE8DZHK2ta3Hkoitrtvlh0V58/9viCmobORdx62kDk/fIKFCXcAD0ZhhZl8+/yXYQ0A4fNyrq9VSaHD05f3n5HXA4rFlXBMEwsXXQSs9tUZkwu5b6/7qtrv/C8Q3G7bBiGwOvv/sWbKnabyvQJJe3GvuXiI7Bb+66pSl8h8/wl/YJoU/TmWnRPY7QnbmT7+OEl0e3dNVePt68jhq+F+veepmjuVeEuXRBt2hKpzx8LX0BjU0Uj3oDerohb21TFK5a8x+LHViSVqtjsDfLZmioOnziE/JzkRDuS8VPfHG5puG57AyNKcnA5MvcnrigKhbnOcA/hLrBZ1aj4QnhS96HnvsLZS+skkh07meqd3ybS7vm///776R5CMsCJCHbbBiklCxZhKxqGVrur/fazbkaxu2I2Vy+aexVCCOpe/32nfWUdYvhmKMCef/ySUPV2LIfMJe+cu7CrgpBQ2e5RGdQcZFCes11IR9MN9tR7qW7w47B27sxltfQsVfE/5bswTMH/HZac1w8wrDgs/rVNfvLcDnZUtXDSjJFA59z/dJKX7aA2xnqDtvRlXfv+VlO/L9n/XneSfofhbY4p5npTbeftz98HZuw4vWJzoNqdcWP40W8XTTUEKzcDCoPmXU+lUUiV18pun4Navw2BwvbKZjZVNBII6himoLrBx+ot9dQ2BSjKdzK4oE1TcoeLN1Zso7E1mLKweP0aK76p5NBxxd3WvYlF6d4J27omPxt3NiLomxRP9955ingreKFv69r3t5r6fYmM+Uv6HKEFYwp2vGbpitUWM07fNnTTcZ/ubcL0tVD9wgPRbxHFZ/wET9ZQjGoP1jYxaqtFJT/HiS+gsXprPXabiqabZDttuJxWQrrJXU+siMaMrz1nGu98vQ5NN2KmKnZFZI4ABW74/mEphz6cDiuD85zUNfmpafDhdtkYXpLDhqaULpcyVotKTpadkGbGLXcRrwxzJlbG9uXY/Q0p/pJeJ/HJWAu+LSuxuNwxBRurI/ZkrM3ZqY9u2zh9x33FZ/wEMxSk+rVH232LqFn+a/LO+QVuV+ySwVlOG05TYJiCrL0reGOtQn34H19z54+OQgjRSViuPWca/3h3I6ccfQB5bnu7iWCI02Q8xcnHsqJsahp9NDQHGH9AYcxSBZmgINfJzuqWuOIfWTF720XTcDpdGV0Z299q6vclUvwlvUq8+H1k1WzHfUVzrsSzZweDz7iRuuX7vPJB82+i0qNSNP8m6l+8v73IZ+Vgycpp10c38oIRQtBsKyL37LtwWgVWux2LOw+9uTbmtwirYmBR46f6qarSvjlKnJixRVXwBYxOwrJyUy1VdR5CmsHix/Z9W1h00RG47JZeLQk8tCibVZvrgK4boKSb7Cwbgq5jXSHNZN363l0fkSj9qaZ+XyLFX5IysTz8ePH7kjNvRAiTmhd/1W5f7eu/J++cu6gJ2Rl8/t1YhIGhWGgI2dA1QYNtEIXn340RDKDYHJjZ+75FdFyEJYSgqs7LrloPeW4HLb4gZYNtlLkVFKs95rcIoSb3J9BdU/KOwnLQsALGH1DIL55o3zVrydOfJ91kvDsmHljItHHF5GTZyM9xYpp9I3BOuwW71YJumO3CaZL+hRR/SRRXVhaNrQE03cRmVclzO1BVJabIQwwv/vTrUSz2mB62GQpE/91xn10V6Cbs8VrZ90iGFTCoCfZoVtatr2DUgWPQ6psYN7KgU0MOIQSVdV5213r2lkRQyHM72F3rQQFKB+d1CgcNmn8TDSFbdKxE+HpDLdeeM42H//F11Iu/6QeHdhkztlktMUXeZlW7fJEkg2kKhhZls+Tp9vnr+bk9X7mbLOGUTxd1TX6yXVL8+ytS/CVAWDxy8odQs3sP2Q6FxqDAV1jIkEFu9LqKDjH0n4JqoeaF+9t78S/9hiHn/iz2hKu7CIESc5+hJDbJ6bRbUTDYsKORsSMK2mWWVNZ5qazbJ/wAqqKQn733BaDAkOIRlF18L6au4dOgQXcQ1BIX/mZPkL+8toajp5Txi8uPxhThzl2bt2yltCx+Mbh43xZUlV6bfGz2BqPCD/tCSLddNI2+8P/zsu3sqff2wciSRJGv5f2QWAuqWv1BsgK1uN5dQvBvP8H17hLc3kpCNTs6hXFqlv8K1RbHw7c6GHzmze0ybwafeTNNuoNm3R5zX2Mo8eX1DrsFu83C+h2NePxaO+HPczs6TXJGvgHsqvFQXe/D4s5nR6uNnU0KQT25+MqL/9mMYQiOnDSEqnov9c0B6poCNLV0LXLx6sG3bTL++KL/4+4rjk55slfTzdjdprpZqZwushxWVKXrlE9J3yI9/28p8TJuYk3IFs//KTbFQvPrv24n8i2v/4Yh5y6OnYYZJ4aum9CoFFLYJn5fH7JFPex6W/x9sYikQh48aTwOuzXqFSvAhh0NDMpzUdvoIy+7s/BHUNXwC6CixkNIFzS1BinIcXYao6uSDKs217Jqcx1zjxlFQa6TQEjngNJcNu1s7FbgEmky3lPihZBMQwcyX7vGYlHJcdsJBg2cDikz/RH5W/kWEi/jRrE7EaFAZ0/+xV/FFfl4E6WaYmXwmTdT98J90TEGn3lzVMz3aJ3j90CX+zoSKZfQKRWyTbmEuqauhT9C5AWwp8GLu03jle7GsFlVDFMwrDiHY6aU8p1Dh9HqDzFySLgw2KB8F1u3de/dpjvDJM/tYPElM7j7yc/afY7du3d2GZJKJ4W5TnZUtUjx76fI38oAJ5mMm0En/hDVmZ2UJ1/rMTqJfNGZN1Pnt0AXHn484nnZsbYritJlKqTdZmlXW6e7MZwOC8Pd2e22x+sede+Vx9Di09q9FG6+8HAsqoLTbmVQXvibQ+lgN6YpME2RkTaI8VBVhZFDcvnF5Ucj2Pf5mlq8lJb1jU1ul22/LJswUJDi38/oKlyTSMZN8Zk3oqjW2F587hBCijV2yqPFzuD5N1L34gPtRH5ZeQNHTynFPGER2Q4FT1BQpxYgRFjoWk1nVEwFJiC6FPhYXrbbZcUb0NttX3jeoVitasw4ttmFoCQzxg3fn47FEnsMzRCdXjz3/fUL7vzRUQzOd0WF3mm3UphtpdUf6raOfbpRVYUmTxAFpV8UKnPardhtFnTd7NVOZ5LeQYp/L2AYBrqnGUwNVBvW7DwsFktcwYbYIg+dxTxugbMFi1Cd2Z1DOC88wJBzbosp8KbDTYtmwzX7J/jf+HX0Wq7ZP8Fr2qlpDnFQh4VTc48NctMjH3WKJcfyjOOJ7KKLjiAY1LBaHTE9+V9cfnSn7Q899xW/uPzomHHsqjovFkVhyOCsTi8YATHHuCvGGA8+W87PLzsqdkkG0bkhek2jH1VVyHW3XxGcnx0uZSzz2jszKM9JdYOPHGvsVdSSvkM+qUlgGAbB5gaCjdUEmxswDAPDMMKCvfRWdv/+SqqX3kqoZie6rscsLezOyopZdjhYtRWtvjLxAmf/XILQArEzbmxO3HN+0i6rxj3nJxiObLKzHPzxgwZajr8Jx/m/puX4m/jjBw0oqorX58OaXYAtrwhrdgGKEo53J+oZ3/vU55iis/guefpzWv06Hl8ozqKm2GNYLUqnLJmbLjiML9ftQbUo7Uone/0a/3xvI63e2GPEE3O7VY2ZiWOxqDELgDltlk7NWyyqwtCiHDz+UMznZn8m123H7OqrmqTP+NZ7/vG8ckguxGKaglDNTmrbxr7P+CmKPSu6Dfbmu79wH0O+f2dMwR56yhX4t66i7s3HOky6Phg/syZOgTMssUM4KBYC7iH424RqLO5CSl3hsMT5J09oNzHYVXPweFkk8cQ03vYhhVmYQsS8ljXOGIYpoqmQwZCGw25D003mHnMgd/zp005e/FVnHYLNFvtaiYzRPhPHiJmDX5C7L0uoLWEP10tQM3DEmIfYX3E5bShKuEVhX9UaksQmrZ7/q6++yuzZsznppJN49tln0zlUJ6+8sLAgrlduGEbcph+m2dljD+7eRKhyc2eRX/4rVEXEFmbTiLndYneiON1xxNwe9dYjWPOK4m43VEdMDz9ozaJ0cA7FQ4dgyy+ieOgQSgfnROvUjBySy4PXHccTi0/kweuOY+SQ3LiTlZEskkQ944jIdtzudFiwxfGyTVPE3B4J5Xj9Ot+sWY/XrxPSTBRVif2CGeTGZbemPIYvoEfHCGlm9KXw2KL/484fHcWwouy490lVFYaX5OAPaDH3769YVIX8HAcen4YpZ3/7FWnz/Kurq3nooYd48cUXsdvtnHvuucyYMYODDjqo+5OTJCLybb3ykjNvRm9tiOmVD5pzFQqxm34MOXdx5zj6Sw8x5NyfxcmSiV1eGEvs7SFHYfTfnVa6qrHj8R4lK+b2oOqM6+GrqtIul70tXe2LdezIIbksuWomwZCBxaJ06RlHRDbWqtV4+e5ev55UpcWu6ut0NYbVqnTKhukq/TLyEmjxBhkyyN1tymKu205uth1/QMfl/NZ/qU6YssHZKIqXhuYAKOC0WeNW/ATQDRPDFFhVpct2kAMBIcKZYMbe/4/8Jwi/GC2qikVVUC2Z/1aUtid0xYoVHHnkkeTn5wNw8skn89Zbb3H11Vf3+li6p7mTyNe9cF/cMIpqsyNQYou5oiYl8sLioOjMm9uHg868GZ8lO6ZgNxs2VEWNuc+HnT9+0MC842+iIMtCo89g6Qc1/Oj0YfwpxvYrzxpB6eAcml12NN2kuE09nt5EVRWsVpXNu5qw2yyoSvgbRJbTyl2XHw2EF135QzqNrUEcNktYZEV4hy+g0dgaRAgQXoGJQEVBUUBRFVRFIRhSiLTZFQIQ4T8cIUAgCIRM/AE9PBCCRRcdwZKn971gFl10BK2+EP6AgccnMPeeF0WAalFw2MIFx3TdbLfCQEVBiXXfRLhBe1FBVrf3SVEUhhXnsGZbPbrPDN+nvfdKUYmGPSKfSez9jIT/F74fe+8LCugpxMoVRcHrD6EQHjcQMvEH9bANe68f+X2xNxyTbpwOK6PK8hhWnEOrN9zwptkTxBcw8Ad0NMMM/672mmK3WXDYLAQ0Hc2vhY3duy/8Ofb9njr9xpTO2wWRZyp8z/eO1v7cNhu8AYNmb7DdZS2qimXvuOZeW4UQ0WubCJQ214zcVkVVsFlUbFYFu8OCzRr+BqyqKqGQTlAzCGomml/HNEVG10SkbaSamhqKivaFKoqLi1m1alV6BjO1pGLiRtYgFGJ73/E8dtNijyny1qwcyMqh5IJfgqmDasWanUfAp8UU8vNPLMThii3yVy8YETMeX5jjjBunT8aL7wnZLjvjDyjEMAS6bqCbAk0z8QU0dN3cK1hhwdEME92noQCqGm7wUZDjwLr3obeqYJqgm2ERNkyBYZhhsRMCVVVRVVBVFUUJe0jZLgu5OeHJQyHAaoW7rzg6mu1jmALTVHE77Vj2nmu3WbBaVayW8B9gWy/SNAWaYaLpYRsCmoHRtqZOG2XIybIlnDqZ5bQxdngB/pCBoRuEdDP82faOpSj7ykSHXw5hYYGwgJimQJhgivA3mGS/QYwckkNIMzFME80QVO+2kO0Kz5WYwowK1t5bjd1qSbjHcE+xWVUK81wU5rkIhHQaq7eR7bbhdtpw2MOCb7NZsLR5CRumQNMNdD18/4IhPZxQvNdB2Me+V330pco+TQ972OHnwmIJ33tFUaLPlxJ5SSugNVcw4YBCTFOgGwLdCP8egyEjfMze60Ve6KoSdo4se7+pWFQFq0UJj5WEI2YY7R2SdKOINBXf+MMf/kAwGOT6668HYNmyZaxevZq77rqry/OCwSCrV69OaqwJo0ZQ97efdRLs4gt+ielr7rQKtTogcGUXYPPU4n19n/ftnvMT1EFDMet3d9quZRfh9zRSkpeDiomJSnVzKw0NjTFtcmVlYXMXs+Sv5fu80wuno3lrALrcl5NfjKJYEMKgtakGv8+HKysr5naJRCJpy+TJk3E4ul9zkjbxX758OV9++SX33HMPAL/73e8QQnQb9omIf6IfAGLH/AefeTOOvQ1Ewtk++7xyi8WCaQqq6lrxNDRE4+XZhYWUFGZT3eDptD0yYZoMpilo9gbblUj++uuvmD59esx9fblCFKC8vJzp06f3qQ3xkLalhrQtefqrXdC1bclqZ9rCPkcffTSPPPIIDQ0NuFwu3n77bX7xi1+kZSyLxYK9eES70EtlQxOj9qZ0WvI6N7JWVSVuvLy34ui9NekqkUgkvU3axL+kpISFCxdy4YUXomkaZ511FlOmTEnXcFgslnYi37B5G6NGdX1OPAGWwiyRSL7tpHVq+dRTT+XUU09N5xASiUQiSYGBnUQrkUgkkpSQ4i+RSCT7IVL8JRKJZD+k361Bj2SehkI9r5AYDAa7P6gP6K92gbQtVaRtqdFfbeuvdkF82yKamWj2ftry/FOltbWVjRs39rUZEolEMiAZO3YsOTk53R7X78TfNE28Xi82m61T3XSJRCKRxEYIgaZpuN1uVLX7iH6/E3+JRCKRpB854SuRSCT7IVL8JRKJZD9Eir9EIpHsh0jxl0gkkv0QKf4SiUSyHyLFXyKRSPZDpPhLJBLJfsiAE3+Px8PcuXPZtWsXAB9//DGnnXYac+fO5aabbooucX733XeZN28ep512GldeeSXNzc1AuMPYzJkzmTdvHvPmzeOhhx7KqF2PPvooxx9/fHT8Z599FoDKykq+//3v873vfY8f//jHeL3eXrErUdvWrVsXtWnevHkce+yxzJ07F0jfPYtl24svvsjs2bM59dRTufvuu9F1HYB169Yxf/58Tj75ZG677bbo9kzet3i2ZfpZS8a2/vC8xbIt08/bo48+ypw5c5gzZw73338/ACtWrODUU0/lpJNOajdGpp+1ZGzr1WdNDCD+97//iblz54pJkyaJiooKIYQQxx13nNi8ebMQQohrrrlGLFu2TLS2topjjjlG7NmzRwghxG9+8xvxi1/8QgghxF133SVeffXVPrFLCCEuv/xy8dVXX3W6xmWXXSZee+01IYQQjz76qLj//vszblsEn88n5syZI7744gshRHruWSzbtmzZIo499lhRXV0thBDijjvuEE8++aQQQog5c+aIr7/+WgghxC233CKeffZZIUTm7ls82zL9rCVjmxB9/7x1ZVuEdD9vn3zyiTjnnHNEMBgUoVBIXHjhheLVV18Vs2bNEjt37hSapolLLrlE/Oc//xFCZPZZS8a23n7WBpTnv2zZMu644w6Ki4uj2wzDwOPxYBgGwWAQh8OBpmnccccdlJSUADBu3DiqqqoA+Oabb1i+fDmnnnoqN9xwQ/TNmQm7AFavXs3jjz/Oqaeeyl133UUwGETTNL744gtOPvlkAObPn89bb73VY7uStS3C448/zuGHH85hhx0GpOeexbJtw4YNTJ06Nfrz8ccfz7vvvsvu3bsJBAJMnToV2Hd/Mnnf4tmW6WctGdug75+3rmyLkO7nraioiEWLFmG327HZbIwePZrt27czcuRIhg8fjtVq5dRTT+Wtt97K+LOWjG29/awNKPG/5557og9IhDvvvJMLLriAY489lsbGRr73ve9RUFDAiSeeCEAgEOCPf/wjJ5xwAhC+2VdeeSWvvPIKpaWl3HXXXRmzy+v1MmHCBG688UaWL19OS0sLv//972lsbCQ7Oxur1Rq1sbq6usd2JWNbhNbWVpYtW8bVV18d3ZaOexbLtvHjx7Ny5UqqqqowDIO33nqLuro6ampqKCoqamdPdXV1Ru9bPNsy/awlY1t/eN7i2RYhE8/bmDFjomK+fft23nzzTRRFafdMFRcXU11dnfFnLRnbevtZG1Di35Ha2loefPBBXnvtNT7++GMOOeQQ7r333uj+1tZWLrvsMsaPH88ZZ5wBwO9+9zumT5+OoihceumlfPTRRxmzy+1286c//YnRo0djtVq55JJL+OCDDxBCdCpil66idt3ds1deeYUTTjiBQYMGRbdl4p4BjBo1ip/+9Kf8+Mc/5vvf/z7jxo3DZrNhmma7+xG5X5m8b/Fsi9BXz1pXtvWH5627+5bJ523Tpk1ccskl3HTTTQwfPjzmM9VXz1oitkXorWdtQIv/l19+ydixYxkxYgSqqnL22Wfz+eefA1BTU8P555/PuHHjuOeee4DwTXvqqaei5wshsFgsGbOrsrKS559/vt34VquVwsJCWltbMQwDCAt02zBNJmyL8O677zJ79uzoz5m6ZxCuUz5lyhReeukl/v73v1NSUsLw4cMZMmQItbW10ePq6uooLi7O6H2LZxv07bPWlW394Xnr6r5B5p638vJyLr74Yn76059yxhlndHqmIvegL561RG2D3n3WBrT4jx07llWrVkW/Rr733nscfPDBGIbBFVdcwSmnnMJtt90WfWtmZWXx5z//mZUrVwLwzDPPRL9GZcIup9PJAw88QEVFBUIInn32WU488URsNhuHHXYYb7zxBgAvvfQSxx13XK/b1ZVtEH5o1qxZw7Rp06LHZ+qeAfh8Pi6++GI8Hg+hUIhnnnmG2bNnM3ToUBwOB+Xl5QC8/PLLHHfccRm9b/Fs6+tnrSvb+sPzFs82yNzzVlVVxVVXXcWDDz7InDlzADjkkEPYtm0bO3bswDAMXnvtNY477riMP2vJ2Nbbz1q/6+SVDKNHj+a6667jwgsvxGKxMHLkSO666y7ef/991q5di2EY/Otf/wJg8uTJ3HPPPfzmN7/hzjvvJBAIcMABB0RTqzJhV2FhIXfddRc//vGP0TSNQw89lB/+8IcA3HHHHSxatIg//OEPlJaW8utf/7rX7erKNoCGhgZsNlu7CWCLxZKRewZQUFDAVVddxTnnnIOu68ydO5dTTz0VgAcffJDFixfj8XiYNGkSF154IZC5+xbPtnfeeadPn7WubAP6/HnryrZMPW9PPPEEwWCQJUuWRLede+65LFmyhGuuuYZgMMisWbOic1+ZfNaSse3dd9/t1WdN1vOXSCSS/ZABHfaRSCQSSWpI8ZdIJJL9ECn+EolEsh8ixV8ikUj2Q6T4SyQSyX6IFH/Jfs3Pf/5zzj777OjiHQjXPjr33HN7tQqnRNLfkOIv2a9ZtGgRfr+fxx9/PLrt8ccfx2KxcO211/ahZRJJepF5/pL9ng0bNnDeeefx7LPPIoTgsssu44UXXuDDDz/kueeewzRN8vPz+dnPfsbo0aPZtm0bd911F16vl9raWsaPH89vfvMbHA4HkydP5v/+7/9Yv349Dz74YHT1tETS3xjQK3wlkt5g3LhxLFy4kNtuuw3TNLnnnnvYsWMHL730Es8++ywul4uPP/6Yq6++mjfffJNly5Zx+umnM2/ePDRNY/78+fznP//h5JNPRtM0jj/+eH7729/29ceSSLpEir9EAlxwwQX861//YvTo0cyaNYv777+fHTt2cO6550aPaWlpoampiRtvvJFPPvmEP/3pT2zfvp2amhp8Pl/0uI4ltCWS/ogUf4lkL8OGDWPEiBEAmKbJvHnzuPHGG6M/19TUkJeXx8KFCzEMg1NOOYXvfOc7VFVV0TZ6mpWV1Sf2SyTJICd8JZIYzJw5k9dff52amhoAnnvuOS666CIg3AP5qquuilanXLlyZbtsIYlkICA9f4kkBjNnzuRHP/oRl1xyCYqikJ2dzaOPPoqiKCxcuJCrrrqKrKwssrOzOfzww9m5c2dfmyyRJIXM9pFIJJL9EBn2kUgkkv0QKf4SiUSyHyLFXyKRSPZDpPhLJBLJfogUf4lEItkPkeIvkUgk+yFS/CUSiWQ/RIq/RCKR7If8f+PpsQZHHS6ZAAAAAElFTkSuQmCC", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "data = pd.read_csv('https://raw.githubusercontent.com/fahadsultan/csc272/main/data/elections.csv')\n", "\n", "sns.lineplot(data = data, x = \"Year\", y = \"Popular vote\", hue='Result', marker='o');" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Note that seaborn automatically aggregates the data by taking the mean of each numeric variable at each time point. The shaded region around the line represents the 95% confidence interval for the mean. We'll talk more about confidence intervals in a later lecture." ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Multi-panel Visualizations" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To create a multi-panel visualization, we can use the `sns.FacetGrid`. \n", "\n", "This class takes in a dataframe, the **names of the variables** that will form the **row, column, or hue dimensions** of the grid, and the **plot type** to be produced for each subset of the data. The plot type is provided as a method of the FacetGrid object." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import pandas as pd \n", "import seaborn as sns \n", "\n", "tips = sns.load_dataset(\"tips\")\n", "\n", "g = sns.FacetGrid(tips, col=\"time\", row=\"sex\");\n", "g.map(sns.scatterplot, \"total_bill\", \"tip\");" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The variable specification in `FacetGrid.map()` requires a positional argument `mapping`, but if the function has a `data` parameter and accepts named variable assignments, you can also use `FacetGrid.map_dataframe()`:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "\n", "g = sns.FacetGrid(tips, col=\"time\", row=\"sex\");\n", "g.map_dataframe(sns.histplot, x=\"total_bill\");" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The FacetGrid constructor accepts a hue parameter. Setting this will condition the data on another variable and make multiple plots in different colors. Where possible, label information is tracked so that a single legend can be drawn:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "g = sns.FacetGrid(tips, col=\"time\", hue=\"sex\");\n", "g.map_dataframe(sns.scatterplot, x=\"total_bill\", y=\"tip\");\n", "g.add_legend();" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The FacetGrid object has some other useful parameters and methods for tweaking the plot:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "g = sns.FacetGrid(tips, col=\"sex\", row=\"time\", margin_titles=True)\n", "g.map_dataframe(sns.scatterplot, x=\"total_bill\", y=\"tip\")\n", "g.set_axis_labels(\"Total bill ($)\", \"Tip ($)\")\n", "g.set_titles(col_template=\"{col_name} patrons\", row_template=\"{row_name}\")\n", "g.set(xlim=(0, 60), ylim=(0, 12), xticks=[10, 30, 50], yticks=[2, 6, 10])\n", "g.tight_layout()\n", "g.savefig(\"facet_plot.png\")" ] } ], "metadata": { "kernelspec": { "display_name": "base", "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": "3.9.12" }, "orig_nbformat": 4 }, "nbformat": 4, "nbformat_minor": 2 }