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diff --git a/notebooks/video_game_sales.ipynb b/notebooks/video_game_sales.ipynb new file mode 100644 index 0000000..04a36b6 --- /dev/null +++ b/notebooks/video_game_sales.ipynb @@ -0,0 +1,1054 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Video Game Sales \n", + "20 July 2020 " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "<hr>" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This dataset (obtained from https://www.kaggle.com/gregorut/videogamesales/data) contains a list of video games with sales greater than 100,000 copies. It was generated by a scrape of vgchartz.com.\n", + "\n", + "Fields include:\n", + "* Rank - Ranking of overall sales\n", + "* Name - The games name\n", + "* Platform - Platform of the games release (i.e. PC,PS4, etc.)\n", + "* Year - Year of the game's release\n", + "* Genre - Genre of the game\n", + "* Publisher - Publisher of the game\n", + "* NA_Sales - Sales in North America (in millions)\n", + "* EU_Sales - Sales in Europe (in millions)\n", + "* JP_Sales - Sales in Japan (in millions)\n", + "* Other_Sales - Sales in the rest of the world (in millions)\n", + "* Global_Sales - Total worldwide sales.\n", + "\n", + "The script to scrape the data is available at https://github.com/GregorUT/vgchartzScrape. It is based on BeautifulSoup using Python. \n", + "There are 16,598 records. 2 records were dropped due to incomplete information." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "# Import the Python libraries we will be using\n", + "import pandas as pd\n", + "import numpy as np\n", + "import seaborn as sns; sns.set()\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "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>Rank</th>\n", + " <th>Name</th>\n", + " <th>Platform</th>\n", + " <th>Year</th>\n", + " <th>Genre</th>\n", + " <th>Publisher</th>\n", + " <th>NA_Sales</th>\n", + " <th>EU_Sales</th>\n", + " <th>JP_Sales</th>\n", + " <th>Other_Sales</th>\n", + " <th>Global_Sales</th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " <tr>\n", + " <th>0</th>\n", + " <td>1</td>\n", + " <td>Wii Sports</td>\n", + " <td>Wii</td>\n", + " <td>2006.0</td>\n", + " <td>Sports</td>\n", + " <td>Nintendo</td>\n", + " <td>41.49</td>\n", + " <td>29.02</td>\n", + " <td>3.77</td>\n", + " <td>8.46</td>\n", + " <td>82.74</td>\n", + " </tr>\n", + " <tr>\n", + " <th>1</th>\n", + " <td>2</td>\n", + " <td>Super Mario Bros.</td>\n", + " <td>NES</td>\n", + " <td>1985.0</td>\n", + " <td>Platform</td>\n", + " <td>Nintendo</td>\n", + " <td>29.08</td>\n", + " <td>3.58</td>\n", + " <td>6.81</td>\n", + " <td>0.77</td>\n", + " <td>40.24</td>\n", + " </tr>\n", + " <tr>\n", + " <th>2</th>\n", + " <td>3</td>\n", + " <td>Mario Kart Wii</td>\n", + " <td>Wii</td>\n", + " <td>2008.0</td>\n", + " <td>Racing</td>\n", + " <td>Nintendo</td>\n", + " <td>15.85</td>\n", + " <td>12.88</td>\n", + " <td>3.79</td>\n", + " <td>3.31</td>\n", + " <td>35.82</td>\n", + " </tr>\n", + " <tr>\n", + " <th>3</th>\n", + " <td>4</td>\n", + " <td>Wii Sports Resort</td>\n", + " <td>Wii</td>\n", + " <td>2009.0</td>\n", + " <td>Sports</td>\n", + " <td>Nintendo</td>\n", + " <td>15.75</td>\n", + " <td>11.01</td>\n", + " <td>3.28</td>\n", + " <td>2.96</td>\n", + " <td>33.00</td>\n", + " </tr>\n", + " <tr>\n", + " <th>4</th>\n", + " <td>5</td>\n", + " <td>Pokemon Red/Pokemon Blue</td>\n", + " <td>GB</td>\n", + " <td>1996.0</td>\n", + " <td>Role-Playing</td>\n", + " <td>Nintendo</td>\n", + " <td>11.27</td>\n", + " <td>8.89</td>\n", + " <td>10.22</td>\n", + " <td>1.00</td>\n", + " <td>31.37</td>\n", + " </tr>\n", + " <tr>\n", + " <th>...</th>\n", + " <td>...</td>\n", + " <td>...</td>\n", + " <td>...</td>\n", + " <td>...</td>\n", + " <td>...</td>\n", + " <td>...</td>\n", + " <td>...</td>\n", + " <td>...</td>\n", + " <td>...</td>\n", + " <td>...</td>\n", + " <td>...</td>\n", + " </tr>\n", + " <tr>\n", + " <th>16593</th>\n", + " <td>16596</td>\n", + " <td>Woody Woodpecker in Crazy Castle 5</td>\n", + " <td>GBA</td>\n", + " <td>2002.0</td>\n", + " <td>Platform</td>\n", + " <td>Kemco</td>\n", + " <td>0.01</td>\n", + " <td>0.00</td>\n", + " <td>0.00</td>\n", + " <td>0.00</td>\n", + " <td>0.01</td>\n", + " </tr>\n", + " <tr>\n", + " <th>16594</th>\n", + " <td>16597</td>\n", + " <td>Men in Black II: Alien Escape</td>\n", + " <td>GC</td>\n", + " <td>2003.0</td>\n", + " <td>Shooter</td>\n", + " <td>Infogrames</td>\n", + " <td>0.01</td>\n", + " <td>0.00</td>\n", + " <td>0.00</td>\n", + " <td>0.00</td>\n", + " <td>0.01</td>\n", + " </tr>\n", + " <tr>\n", + " <th>16595</th>\n", + " <td>16598</td>\n", + " <td>SCORE International Baja 1000: The Official Game</td>\n", + " <td>PS2</td>\n", + " <td>2008.0</td>\n", + " <td>Racing</td>\n", + " <td>Activision</td>\n", + " <td>0.00</td>\n", + " <td>0.00</td>\n", + " <td>0.00</td>\n", + " <td>0.00</td>\n", + " <td>0.01</td>\n", + " </tr>\n", + " <tr>\n", + " <th>16596</th>\n", + " <td>16599</td>\n", + " <td>Know How 2</td>\n", + " <td>DS</td>\n", + " <td>2010.0</td>\n", + " <td>Puzzle</td>\n", + " <td>7G//AMES</td>\n", + " <td>0.00</td>\n", + " <td>0.01</td>\n", + " <td>0.00</td>\n", + " <td>0.00</td>\n", + " <td>0.01</td>\n", + " </tr>\n", + " <tr>\n", + " <th>16597</th>\n", + " <td>16600</td>\n", + " <td>Spirits & Spells</td>\n", + " <td>GBA</td>\n", + " <td>2003.0</td>\n", + " <td>Platform</td>\n", + " <td>Wanadoo</td>\n", + " <td>0.01</td>\n", + " <td>0.00</td>\n", + " <td>0.00</td>\n", + " <td>0.00</td>\n", + " <td>0.01</td>\n", + " </tr>\n", + " </tbody>\n", + "</table>\n", + "<p>16598 rows × 11 columns</p>\n", + "</div>" + ], + "text/plain": [ + " Rank Name Platform \\\n", + "0 1 Wii Sports Wii \n", + "1 2 Super Mario Bros. NES \n", + "2 3 Mario Kart Wii Wii \n", + "3 4 Wii Sports Resort Wii \n", + "4 5 Pokemon Red/Pokemon Blue GB \n", + "... ... ... ... \n", + "16593 16596 Woody Woodpecker in Crazy Castle 5 GBA \n", + "16594 16597 Men in Black II: Alien Escape GC \n", + "16595 16598 SCORE International Baja 1000: The Official Game PS2 \n", + "16596 16599 Know How 2 DS \n", + "16597 16600 Spirits & Spells GBA \n", + "\n", + " Year Genre Publisher NA_Sales EU_Sales JP_Sales \\\n", + "0 2006.0 Sports Nintendo 41.49 29.02 3.77 \n", + "1 1985.0 Platform Nintendo 29.08 3.58 6.81 \n", + "2 2008.0 Racing Nintendo 15.85 12.88 3.79 \n", + "3 2009.0 Sports Nintendo 15.75 11.01 3.28 \n", + "4 1996.0 Role-Playing Nintendo 11.27 8.89 10.22 \n", + "... ... ... ... ... ... ... \n", + "16593 2002.0 Platform Kemco 0.01 0.00 0.00 \n", + "16594 2003.0 Shooter Infogrames 0.01 0.00 0.00 \n", + "16595 2008.0 Racing Activision 0.00 0.00 0.00 \n", + "16596 2010.0 Puzzle 7G//AMES 0.00 0.01 0.00 \n", + "16597 2003.0 Platform Wanadoo 0.01 0.00 0.00 \n", + "\n", + " Other_Sales Global_Sales \n", + "0 8.46 82.74 \n", + "1 0.77 40.24 \n", + "2 3.31 35.82 \n", + "3 2.96 33.00 \n", + "4 1.00 31.37 \n", + "... ... ... \n", + "16593 0.00 0.01 \n", + "16594 0.00 0.01 \n", + "16595 0.00 0.01 \n", + "16596 0.00 0.01 \n", + "16597 0.00 0.01 \n", + "\n", + "[16598 rows x 11 columns]" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Load the file using your path below\n", + "file = r'C:\\Users\\my_user\\Downloads\\video_game_sales.csv'\n", + "df = pd.read_csv(file)\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "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>Rank</th>\n", + " <th>Year</th>\n", + " <th>NA_Sales</th>\n", + " <th>EU_Sales</th>\n", + " <th>JP_Sales</th>\n", + " <th>Other_Sales</th>\n", + " <th>Global_Sales</th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " <tr>\n", + " <th>count</th>\n", + " <td>16598.000000</td>\n", + " <td>16327.000000</td>\n", + " <td>16598.000000</td>\n", + " <td>16598.000000</td>\n", + " <td>16598.000000</td>\n", + " <td>16598.000000</td>\n", + " <td>16598.000000</td>\n", + " </tr>\n", + " <tr>\n", + " <th>mean</th>\n", + " <td>8300.605254</td>\n", + " <td>2006.406443</td>\n", + " <td>0.264667</td>\n", + " <td>0.146652</td>\n", + " <td>0.077782</td>\n", + " <td>0.048063</td>\n", + " <td>0.537441</td>\n", + " </tr>\n", + " <tr>\n", + " <th>std</th>\n", + " <td>4791.853933</td>\n", + " <td>5.828981</td>\n", + " <td>0.816683</td>\n", + " <td>0.505351</td>\n", + " <td>0.309291</td>\n", + " <td>0.188588</td>\n", + " <td>1.555028</td>\n", + " </tr>\n", + " <tr>\n", + " <th>min</th>\n", + " <td>1.000000</td>\n", + " <td>1980.000000</td>\n", + " <td>0.000000</td>\n", + " <td>0.000000</td>\n", + " <td>0.000000</td>\n", + " <td>0.000000</td>\n", + " <td>0.010000</td>\n", + " </tr>\n", + " <tr>\n", + " <th>25%</th>\n", + " <td>4151.250000</td>\n", + " <td>2003.000000</td>\n", + " <td>0.000000</td>\n", + " <td>0.000000</td>\n", + " <td>0.000000</td>\n", + " <td>0.000000</td>\n", + " <td>0.060000</td>\n", + " </tr>\n", + " <tr>\n", + " <th>50%</th>\n", + " <td>8300.500000</td>\n", + " <td>2007.000000</td>\n", + " <td>0.080000</td>\n", + " <td>0.020000</td>\n", + " <td>0.000000</td>\n", + " <td>0.010000</td>\n", + " <td>0.170000</td>\n", + " </tr>\n", + " <tr>\n", + " <th>75%</th>\n", + " <td>12449.750000</td>\n", + " <td>2010.000000</td>\n", + " <td>0.240000</td>\n", + " <td>0.110000</td>\n", + " <td>0.040000</td>\n", + " <td>0.040000</td>\n", + " <td>0.470000</td>\n", + " </tr>\n", + " <tr>\n", + " <th>max</th>\n", + " <td>16600.000000</td>\n", + " <td>2020.000000</td>\n", + " <td>41.490000</td>\n", + " <td>29.020000</td>\n", + " <td>10.220000</td>\n", + " <td>10.570000</td>\n", + " <td>82.740000</td>\n", + " </tr>\n", + " </tbody>\n", + "</table>\n", + "</div>" + ], + "text/plain": [ + " Rank Year NA_Sales EU_Sales JP_Sales \\\n", + "count 16598.000000 16327.000000 16598.000000 16598.000000 16598.000000 \n", + "mean 8300.605254 2006.406443 0.264667 0.146652 0.077782 \n", + "std 4791.853933 5.828981 0.816683 0.505351 0.309291 \n", + "min 1.000000 1980.000000 0.000000 0.000000 0.000000 \n", + "25% 4151.250000 2003.000000 0.000000 0.000000 0.000000 \n", + "50% 8300.500000 2007.000000 0.080000 0.020000 0.000000 \n", + "75% 12449.750000 2010.000000 0.240000 0.110000 0.040000 \n", + "max 16600.000000 2020.000000 41.490000 29.020000 10.220000 \n", + "\n", + " Other_Sales Global_Sales \n", + "count 16598.000000 16598.000000 \n", + "mean 0.048063 0.537441 \n", + "std 0.188588 1.555028 \n", + "min 0.000000 0.010000 \n", + "25% 0.000000 0.060000 \n", + "50% 0.010000 0.170000 \n", + "75% 0.040000 0.470000 \n", + "max 10.570000 82.740000 " + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# With the description function, we can see the basic stats. For example, we can also see that the 'Year' column has some incomplete values.\n", + "df.describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(array([ 179, 377, 431, 470, 470, 607, 624, 649, 652,\n", + " 711, 782, 1126, 1133, 1303, 1303, 1433, 1498, 1513,\n", + " 1585, 1649, 1662, 1697, 1837, 1990, 2019, 2086, 2113,\n", + " 2114, 2134, 2145, 2173, 2222, 2286, 2295, 2415, 2422,\n", + " 2484, 2497, 2528, 2586, 2776, 2786, 2838, 2947, 3049,\n", + " 3141, 3159, 3166, 3194, 3217, 3238, 3346, 3421, 3468,\n", + " 3501, 3715, 3753, 3766, 3880, 3952, 4145, 4145, 4151,\n", + " 4199, 4232, 4330, 4378, 4380, 4469, 4472, 4526, 4536,\n", + " 4635, 4683, 4791, 4797, 4858, 4865, 4934, 5061, 5078,\n", + " 5162, 5171, 5195, 5196, 5240, 5302, 5302, 5508, 5618,\n", + " 5625, 5647, 5657, 5669, 5769, 5798, 5838, 5861, 5870,\n", + " 5901, 5913, 6042, 6125, 6153, 6195, 6211, 6272, 6272,\n", + " 6283, 6314, 6316, 6319, 6401, 6437, 6496, 6562, 6647,\n", + " 6648, 6777, 6806, 6832, 6849, 6919, 6926, 6937, 6966,\n", + " 6968, 7035, 7181, 7208, 7213, 7351, 7351, 7369, 7370,\n", + " 7382, 7406, 7423, 7470, 7615, 7648, 7720, 7908, 7946,\n", + " 7953, 8044, 8086, 8157, 8167, 8204, 8223, 8313, 8330,\n", + " 8334, 8341, 8368, 8376, 8439, 8503, 8553, 8620, 8707,\n", + " 8760, 8770, 8848, 8896, 8899, 8929, 9081, 9151, 9171,\n", + " 9251, 9310, 9392, 9475, 9517, 9522, 9667, 9692, 9742,\n", + " 9749, 9749, 9769, 9815, 9820, 9821, 9840, 9868, 9981,\n", + " 10045, 10272, 10362, 10382, 10465, 10494, 10494, 10559, 10690,\n", + " 10758, 10792, 10829, 10979, 10997, 11076, 11076, 11108, 11142,\n", + " 11323, 11331, 11376, 11409, 11455, 11526, 11543, 11573, 11755,\n", + " 11798, 11921, 11938, 11976, 12015, 12028, 12127, 12129, 12135,\n", + " 12184, 12212, 12238, 12248, 12487, 12487, 12517, 12517, 12531,\n", + " 12626, 12666, 12709, 12749, 12807, 12825, 12879, 12915, 12922,\n", + " 12929, 13055, 13156, 13278, 13278, 13477, 13665, 13672, 13672,\n", + " 13675, 13733, 13870, 13962, 13962, 14046, 14055, 14056, 14087,\n", + " 14087, 14098, 14160, 14273, 14296, 14296, 14311, 14312, 14377,\n", + " 14473, 14522, 14583, 14676, 14696, 14698, 14849, 14855, 14876,\n", + " 14925, 14942, 14942, 14997, 14998, 14999, 15056, 15197, 15208,\n", + " 15261, 15261, 15316, 15325, 15353, 15476, 15579, 15606, 15652,\n", + " 15697, 15717, 15739, 15788, 15811, 15865, 15876, 15878, 15900,\n", + " 15915, 15915, 16057, 16058, 16065, 16191, 16191, 16194, 16198,\n", + " 16198, 16208, 16229, 16229, 16246, 16307, 16327, 16366, 16367,\n", + " 16427, 16493, 16494, 16543, 16553], dtype=int64),\n", + " array([3, 3, 3, 3, 5, 3, 3, 3, 3, 3, 3, 3, 3, 3, 5, 3, 3, 3, 3, 3, 5, 3,\n", + " 3, 3, 3, 3, 3, 3, 3, 3, 3, 5, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,\n", + " 3, 3, 5, 5, 3, 3, 3, 3, 3, 3, 3, 3, 3, 5, 3, 3, 3, 5, 3, 3, 3, 3,\n", + " 3, 3, 3, 3, 5, 3, 5, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 5,\n", + " 3, 3, 3, 5, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 5, 3, 3,\n", + " 3, 3, 3, 5, 3, 5, 3, 5, 3, 3, 3, 5, 3, 3, 3, 3, 3, 3, 3, 5, 3, 3,\n", + " 5, 3, 3, 3, 3, 3, 5, 3, 3, 3, 3, 3, 5, 3, 3, 3, 3, 3, 3, 3, 5, 3,\n", + " 5, 5, 3, 3, 5, 3, 3, 3, 3, 5, 5, 5, 3, 3, 3, 3, 3, 3, 3, 3, 3, 5,\n", + " 3, 3, 3, 3, 3, 5, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 5, 3, 3, 5, 3, 3,\n", + " 3, 3, 3, 3, 3, 3, 5, 3, 3, 3, 3, 3, 3, 3, 5, 3, 3, 3, 3, 3, 3, 3,\n", + " 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 5, 3, 5, 3, 3, 3, 3, 3, 3, 3, 3, 3,\n", + " 3, 3, 3, 3, 3, 5, 3, 3, 3, 5, 3, 3, 3, 3, 5, 3, 3, 3, 3, 5, 3, 3,\n", + " 3, 3, 5, 5, 3, 3, 3, 3, 3, 3, 3, 5, 3, 3, 3, 3, 3, 5, 3, 3, 3, 5,\n", + " 3, 3, 3, 5, 3, 5, 5, 3, 3, 3, 3, 3, 3, 3, 5, 3, 3, 3, 3, 3, 3, 5,\n", + " 3, 3, 3, 3, 5, 3, 3, 5, 5, 3, 5, 3, 3, 3, 3, 5, 3, 3, 5, 5, 5],\n", + " dtype=int64))" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# This function shows the rows and columns of NaN values. For example, df[179,3] = nan\n", + "np.where(pd.isnull(df))" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "<seaborn.axisgrid.FacetGrid at 0x1e2cc3f2c88>" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "<Figure size 576x576 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# This function plots the global sales by platform\n", + "sns.catplot(height=8, x=\"Platform\", y=\"Global_Sales\", data=df, jitter=False).set_xticklabels(rotation=90)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "<seaborn.axisgrid.FacetGrid at 0x1e2cc35c308>" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "<Figure size 576x576 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# This function plots the global sales by genre\n", + "sns.catplot(height=8,x=\"Genre\", y=\"Global_Sales\", data=df, jitter=False).set_xticklabels(rotation=45)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "<seaborn.axisgrid.FacetGrid at 0x1e2cdf5a808>" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+xxgaAADgexMSaBYvXjwRpwEAABiTUdehueyyy0b8/o9//GNdffXVeb9/0003qaOjQzfeeKM2b96sb3zjG+rt7dWHPvQhfec731EoNGoVMME2bWvX6g2t2t8T1YypYS1ZPE+LWpqKXS0AAMZs1DRxxhlnjPnkzz//vB544AGdcsopkqSvf/3r+t73vqejjz5a11xzje6991599rOfHfP5YW7TtnatXLNVwWBA9bUhdfZGtXLNVkki1AAAfGvUQHPuuee6ljuOozfffDPvz3V2dmrFihW67LLLtGXLFu3cuVORSERHH320JGnZsmW67bbbCDSTbPWGVgWDAVVXBWVZlqqrghpIlhNoAAB+VXB/z69//WvdfPPN6u/vT5fNmDFD69atcz3+W9/6lr7yla9o165dkqS9e/equbk5/f3m5mbt2bNnrPXGGLV3RTSlJvtpD4cCau+KFKlGAACMX8GB5ic/+Ynuvvtu3XHHHbryyiv11FNPaffu3a7H/s///I/mzJmj448/Xvfff78kybbtrAX4HMcZ04J8M2dONf6ZsWhurp+U3zPZ5jRPVUd3v2qqgpKkqlBAkWhMc5qnlu01S+X7fGaqhGuUuM5yUwnXWQnXKBX/OgsONI2NjTrqqKN0xBFHaN++ffriF7+os846y/XYRx99VG1tbTrnnHPU1dWlvr4+WZaltra29DHt7e2aNWuWcYX37euRbXs7Tby5uV5tbQc8/R3Fcur752rlmq2KxR3V1YTUG4kpHrd16vvnlu01l/PzmVIJ1yhxneWmEq6zEq5RmrzrHCk0FRxoQqGQurq6NH/+fG3atEknnnii4vG467F33313+t/333+/XnjhBd1www36+Mc/rpdeekkf/OAH9eCDD+rkk082uAxMhNQ4mdUbWtXRE9V0ZjkBAMpAwYHmvPPO06WXXqof//jH+uQnP6k1a9aopaXF6Jfdcsstuvbaa9XT06MjjzxSF1xwgXGFMX6LWpq0qKWpYj45AADKn+UYLPPb19enKVOmaM+ePfrzn/+sk046STU1NV7WLwddThOH6ywflXCNEtdZbirhOivhGiWfdTnZtq1Vq1Zp/fr1CoVCOvnkkyc9zAAAALgpONDceOON2rJli5YuXSrHcXTvvfdqx44duvLKK72sHwAAwKgKDjTr16/Xb3/72/RWBUuXLtWyZcsINAAAoOgK3pyyrq4ua1aTZVmaMmWKJ5UCAAAwMWoLTWoKdlNTk84//3ydc845CgQCevTRR7VgwQLPKwgAADCaUQPN1q2JjQsbGhrU0NCg119/XZI0b948b2sGAABQoFEDzQ033JD19c6dOxWLxTR//nzPKgUAAGCi4EHBb775pv7xH/9Re/fulW3bmj59uu68807jxfUAAAAmWsGDgq+//np94Qtf0MaNG/XSSy/pi1/8or7zne94WTcAAICCFBxo9u3bp3PPPTf99ac+9Sl1dHR4UikAAAATBQeaeDyuzs7O9Nf79+/3pEIAAACmCh5D87nPfU6f/vSndeaZZ8qyLD366KO68MILvawbAABAQQoONJ/+9Kc1f/58Pffcc7JtW9/+9rd1wgkneFk3AACAgowaaF577bX0v+vr63XWWWdlfe/II4/0pmYAAAAFGjXQXHHFFVlfW5aV9fUTTzwxsTUCAAAwNGqgefLJJ7Vr1y719fWppaVFK1asUE9Pj4LBoL761a9ORh0BAABGNOosp02bNulTn/pUuuvpscce0/Tp0/W3v/1N99xzj+cVBABMrk3b2nXzr17WVXes182/elmbtrUXu0rAqEYNNP/5n/+p//iP/9DSpUslJXbdvvzyy/Xd735XDz/8sOcVBABMnk3b2rVyzVZ19kY1pSakzt6oVq7ZSqhByRs10Lz11ls67rjj0l87jiNJOvjgg9XV1eVdzQAAk271hlYFgwFVVwVlWZaqq4IKBgNavaG12FUDRjRqoAmHw1lfr1y5Mv3vhoaGia8RAKBo2rsiCoeybw3hUEDtXZEi1QgozKiBZsqUKdq9e3f667q6OknSrl27VFNT413NAACTrmlajaIxO6ssGrPVNI33e5S2UQPNeeedp6997Wvat29fuqyrq0tXX321PvvZz3paOQDA5FqyeJ7icVsDg3E5jqOBwbjicVtLFs8rdtWAEY06bXv58uVqbW3VqaeeqpaWFlmWpe3bt+uCCy7Qxz/+8cmoIwBgkixqaZKUGEvT3hVR07QaLVk8L10OlKqCtj746le/qgsvvFCvvPKKJGnRokWaNWuWpxUDABTHopYmAgx8p+C9nGbOnKmPfexjXtYFAABgTEYdQwMAAFDqCDQAAMD3CDQAAMD3CDQAAMD3CDQAAMD3CDQAAMD3CDQAAMD3Cl6HBgAAN5u2tbOyMIqOQAMAGLNN29q1cs1WBYMBTakJqbM3qpVrtkoSoQaTii4nAMCYrd7QqmAwoOqqoCzLUnVVUMFgQKs3tBa7aqgwBBoAwJi1d0UUDmXfSsKhgNq7IkWqESoVgQYAMGZN02oUjdlZZdGYraZpNUWqESoVgQYAMGZLFs9TPG5rYDAux3E0MBhXPG5ryeJ5xa4aKgyDggEAY5Ya+MssJxQbgQYAMC6LWpoIMCg6upwAAIDv0UIDVBAWQANQrgg0QIVgATQA5YwuJ6BCsAAagHJGoAEqBAugAShnBBqgQrAAGoByRqABKgQLoAEoZwwKBioEC6ABKGcEGvgGU47HjwXQAJQrAg18gSnHQDYCPpCNMTTwBaYcA0NSAb+zN5oV8Ddtay921YCiIdDAF5hyDAwh4AO5CDTwBaYcA0MI+EAuAg18gSnHwBACPpCLQANfWNTSpPNPO1yNdWH1RWJqrAvr/NMOZxAkKhIBH8jFLCf4BlOOgYRFLU3asatbj298W5FoTDXhkE4/5hD+PlDRaKEBAJ/ZtK1d617drYapYR0ya6oapoa17tXdzHJCRaOFBgB8JnOWkyRVVwU1kCwvRisNa+KgFBBoAMBn2rsimlKT/fZdrFlOLHqJUkGgKRN8QgIqR9O0GnX2RtMtNFLxZjmVWmsRKhdjaMoAq4YClaWUZjmxJg5KBYGmDLBqKFBZSmkZA9bEQamgy6kMlFJ/OoDJUSrLGCxZPE8r12zVgBLvO9GYzZo4KAoCTRkopf50AJUlFaoYw4diI9CUAT4hASimUmktQmUj0JQBPiEBACodgaZM8AkJAFDJmOUEAAB8j0ADAAB8j0ADAAB8j0ADAAB8j0ADAAB8j0ADAAB8j0ADAAB8j0ADAAB8j0ADAAB8j0ADAAB8j0ADAAB8j0ADAAB8j80pAaBEbNrWrtUbWrW/J6oZU8Nasngem84CBSLQAEAJ2LStXSvXbFUwGFB9bUidvVGtXLNVkgg1QAHocgKAErB6Q6uCwYCqq4KyLEvVVUEFgwGt3tBa7KoBvkCgAYAS0N4VUTiU/ZYcDgXU3hUpUo0AfyHQAEAJaJpWo2jMziqLxmw1TaspUo0AfyHQAEAJWLJ4nuJxWwODcTmOo4HBuOJxW0sWzyt21QBfYFAwAJSA1MDf1Rta1dET1XRmOQFGaKEBgBLjFLsCgA/RQgMAJYBp28D4EGgAFEVqEbn2roiaptVUfPeK27TtgWR5JT8uQKEINAAmXWZrxJQaWiOkxLTtKTXZb8lM2wYKR6ABMOkyWyMk0RqhxLTtzt5o+jGRJnbaNi1iKHcMCgYw6VhELpeX07ZTLWKdvdGsFrFN29onoOZAaSDQAJh0LCKXa1FLk84/7XA11oXV0x9TY11Y5592+IS0orCtAioBXU4AJt2SxfO0cs1WDSjRMhON2Swip0SoWdTSpObmerW1HZiw8zI+B5WAQANg0mUuIseYDu8xPgeVgEADoChSrRHwnpctYmOZsZYKQPt7oprBisiYIAQaAChzXraImc5YYwFBeIVAAwAVwKsWMdPxOSwgCK8QaAAAY2Y6PqeUBigz9qe8MG0bADBmpuvnlMqUfdbmKT8EGgDAmGWun9MXGX39HC8XEDTB2jzlhy4nAPBIpXRpmIzPyRyg3NET1fQizXIqpa4vTAwCDcoWU0NRTGzAmZ9XCwia8HptHkw+upxQljL7xzOnhtI/jslCl0ZpK5WuL0wcAg3KEjcTFBsbcJY207E/KH2edjn98Ic/1GOPPSZJ+vCHP6yrrrpK69ev1w033KCBgQGdeeaZ+spXvuJlFVCh6B9HsY2lS4Nu0snFatXlxbMWmvXr12vt2rV64IEH9Nvf/lavvfaaHn74YV1zzTW6/fbb9eijj+rVV1/VM88841UVUMFKZWooKpdplwbdpMD4eBZompub9a//+q8Kh8OqqqpSS0uLduzYofnz5+vQQw9VKBTSJz7xCa1evdqrKqCC0T+OYjPt0qCbFBgfz7qc3v3ud6f/vWPHDj322GP63Oc+p+bm5nT5rFmztGfPHq+qgApWKlNDUdlMujToJgXGx/Np23/961916aWX6qqrrlIwGNSOHTvS33McR5ZlGZ1v5sypE1xDd83N9ZPye4qtnK/z1OZ6nXrc3xW7GpOmnJ/LTOV6nXOap6qju181yTE3VaGAItGY5jRPLdtrlsr3+cxUCdcoFf86PQ00L730kr785S/rmmuu0dlnn60XXnhBbW1t6e+3tbVp1qxZRufct69Htu1MdFWzFHNthMnEdZaPSrhGqbyv89T3z9XKNVsVizuqqwmpNxJTPG7r1PfPLdtrLufnM6USrlGavOscKTR5Fmh27dqlL33pS1qxYoWOP/54SdJRRx2lN954Q2+++aYOOeQQPfzww/rUpz7lVRUAwDfoJgXGx7NA87Of/UwDAwO68cYb02Wf+cxndOONN+qKK67QwMCAPvzhD2vJkiVeVQEAfKUUVtAF/MqzQHPttdfq2muvdf3eqlWrvPq1AACgArFSMAAA8D02pwQAH6qUnbyBQhFo4Bu8gQMJ7OQN5KLLCb6QuSx85hs4y8KjErGqMJCLQANf4A0cGMJO3kAuAg18gTdwYAibrwK5CDTwBd7AgSFsvgrkYlAwiqrQgb5LFs/TyjVbNaBEy0w0ZvMGjoqVuaowg+SBBAINisZkpgZv4EA2k528gUpAoEHRZA70laTqqqAGkuVub9S8gQMA8mEMDYqGgb4AgIlCoEHRMNAXADBR6HJC0TDQF0Axsfp4eSHQoGgY6AugWNg+ovwQaFBUDPRFsfEpvTKZTkpA6WMMDYCKtWlbu37+yGZtf6dbHQcGtP2dbv38kc3sEVYBmJRQfgg0ACrWfU/9Tb2RmGzHUcCSbMdRbySm+576W7GrBo8xKaH8EGgAVKw9HRFZlhSwLFmWlfxvohzlje0jyg9jaABUMEeOI8nKKHEky3KKUpvUeJ79PVHNmBou2/E8pXCdTEooPwQaABVr9owp2rWvV7ZjJbucJMnR7Bl1k16XzFk39bXlO+umlK6TSQnlhS4nAGVn07Z23fyrl3XVHet1869ezjvId/kpLaqrDStgSXHbVsCS6mrDWn5KyyTXOHvWjWVZqq4KKhgMaPWG1kmvi5cq5Tox+WihAVBWTDc9veishSXR7dDeFdGUmuy35HKcdVMp14nJR6ABMCFKZT0Xv2562jStRp290XS9pfKcddM0rUa79/epP5oYhBsMBlQbDuqgGVNcjy+V1xVKH11OAMYt1SrS2RvNahUpxnoufl1fpFJm3Syc16juvqhisUQXXyxmq7svqoXzGnOOLaXXFUofLTQAxq2UVl31a0tH5qybjp6oppfpLKctrZ2aVlet/oGYYnFHVSFLtdUhbWnt1NJhx3r9uvKy9acUZnJVGgINgHErpXERft70NNX91dxcr7a2A8WujifauyKqn1KlhrqwqkIBDcZsOY7j+lrx8nXl5V5OpTSTq5IQaACMWym1irC+SGkzea2M5XVVaKuLl60/bjO52CfKewQaAONWaq0ipTLQF7kyXyuhoDXiWCHT11Vqb65INK647ai7N6qfP7JZF519RM7rwcvWn1JqsawkBBoA40arCAplMlbI9HWV2psrsZ1F9t5cw3/Gy1bFUmqxrCQEGgATglaRymU6uNarsUKZe3NJiR0tbDmue3N52apo0gqFiUOgAQCM2WQNri3s3IXvzUpfqvYAACAASURBVOVlq2KlzFgrNQQaAGWHxdjGx+Txm6zBtYWc23RvLi9bFSthxlqpYWE9AGWFxdjGx/Tx83IhQ9Nzl9LeXJh8tNAAKCultMifH5k+fuOZWj3aonOm5y6lvbkw+Qg0AMoKU2bHx/TxG8vU6kIXnRvLwF0Gp1cuupwAlJWmaTWKxuysMqbMFs708VvU0qTzTztcjXVh9UViaqwL6/zTDi9ozE1q0blgMKDVG1rHfW5UNlpoAJSVUlvkz4SX+/8UOtDX61YRWtDgFQINgLLi10X+vNz/x2T6s9ePn8m4GC+nhI8Fs+dKG4EGqCCV8obsx3EUXu7/YzrQ1/TxM3ldmSw6V0oDvEstXCEXgQaoELwhTz6TG71f9xYyfV2ZLDpXSt1TpRSu4I5AA1QI3pAnl+mN3uu9hXbv71N/NK5YzFYoFFBtOKiDZkwZ97nH8roqdNG5UtoTqZTCFdwxywmoEF4ugIZcJrN5pERXTDxua2AwLsdxJnT/n4XzGtXdF1UsllhsLhaz1d0X1cJ5jeM+t5evKy8fE1NN02rU3RvV7v19entvj3bv71N3b5TZcyWEFhpgDPw4FqWUPu1WAtNP9F7u/7OltVPT6qrVPxBTLG6rKhRQbXVIW1o7tXSc5/bydVVKA7wXzmvU1rc7ZckaCoWxuE45eu6k1wXuCDSAIb+ORRnLdFw/BrdSMZYbvVf7/7R3RVQ/pUoNdeF0meM4ecPVWAf5ejFNvlQGeHsZCjExCDSAIb+ORTH9tOvX4FYqSmk9HC+nSo+lFcVkvZ1SCdWmoRCTj0ADGDLtSiiVN2TJ7NOuX4NbqSil7hKTcLV6Q6sGY7a6+wazBhBP1PNust5OKYVqumxLH4OCAUMmS8P7eednBhGP345d3Wrd06P93RG17unRjl3dRamHyRYCO9t7daB/UPF4YgBxPG7rQP+gdrb3up7b9DVuMljadGC1l0ppgDLc0UIDGDL9tOvXVg4+kY7PqrXbtWr9DlmyFAwkFpBbtX6HJGnpSQsmvT6Fts7F447kSIGAJUmyJMVtJ1HuwvQ1btLCmShz1HFgIN1aVF8bmrBQbdJ6WkotbnBHoAEMmbyx+XntilIaA+JHj298Ox1mJCloSXE7UV6MQFOoxOq9jmwnMZvHdiTJUShouR5v+ho3Cco1VQHt2t8vy1K6tajjQFRzZtSO+fpSxtKdVSoDlOGOQAOMQaFvbKXWysEn0skTicbSYSYlYCXKS9ncpjrt6ehPz+YJBQOqra7W7OnuIcL0Nb5k8Tz9/JHN2t8Vke04CliWasJBfeaj78o92LIkOZICsizJcSTJTpaPj59bT+GOMTSAh0qp393P43n8qCYcSrZuDLGdRHkpW7J4nkJBS4311ZrbVKfG+mqFglbe1+yYXuPJQOI42V8PF4nGNaOhRqGgJdtJtBLNaKhRJBrPe+pVa7fr8hXP6gs3PanLVzyrVWu3ux7HGLHyU9p/WYDPlVIrh+knUq9nmJTS7C8vnH7MIVq1fofittJdN44cnX7MIcWu2ohMX7Omx6/e0KqAJVkBS5bjyAokurbcXoep1p/ZGVs0DAzG1ZgxdTqTybglL7eDQHEQaACPlUq/u+lYBy+b5EtpOq5XUjfQxze+rUg0pppwSKcfc0jRxs+YdjeaPA8mx+9s71XfQEyWpIBlJWdR2Yq7zKIyHcdlMm6JlX/LD4EGKDFetVyYjnXwckBzpYxfWHrSgpIYAFxKATJzFpVlWQoo/ywq09Yfk3FLW1o7VRsOqX8gpsFkKxor//obgQYoIV7eeEw/7Xo5oNnPs7/8yOvF8kxkzqIKWs6os6hMWn9qkgFFliPHGRpTXFude6vb2d6ryGBcgYClYOIwRQbjedfbQekj0AAlxMuWC9NPu15O2y612V/lLrubRyN283gtexZVIsiMNIvKpMXyqJYZev71vYl0oqFBx0e1zMg51nS9HZQ+Ag0wBl51C3ndcmHyadfLAc2scTO5SunmnXruG+urVVcTUm8klve5N22x7OiJamptSH2RmGwnEd6m1ITU0RPNOdZ0vR2UPgINYMjLbqFSa7nwakBzKc3+8lKpzOQqpZv3opYm7djVrcc3vq29Hf2qqQrq9GMOcX1cxrIK8YyGGs2cNnRd+TaQNF1vx5TJBpyYGAQawJCX3UKV1HJRKrO/vFJKA3HnNtXprb09iZu3MzQAdm5T3aTWQ0o8Lute3a2GqWHNSbbQrHt1tw6b05DzuIxlFeJCp2JnthRN9N+ayQacmDgEGsCQl91CpdZyUSotDH5USjO50lOULUtVgUQLTX80poXzGifk/CavE7cNJ/M9LqYtlgvnNWpLa2f663g0roGo+1RsL//WTK4RE4dAAxjyuluoVFouSqmFwVQpBLFSmsnl5RRl09eJyeNi2mL54pa9GV1qCQErUe42fd6rv7VSeu4rCYFmkpTCGywmRqV0C3ndwuDV30SpBLGxBF+vxl2YTlEea4uLNPrrxORxMW1F2dMRUSBgKZSxlYLtONrTMblBotTGwlUKAs0kKJU3WEyMUusW8kri06SjjgMD6fEI9bWhvJ8yTW6CXv5NlEpXj2nw9XLchcksJy9bXCTDzSll2oqSWH9GGWOdE+vRTMxsrkJf46bXiIlBoJkEpfIGW4r82nJVKt1CXqqpCmjX/n5Z1tDaJR0HopozI3cWiOlN0Mu/iVJp7h/LHkdejbswmeVkugjfmFojMjentDQhu2dL0uwZU7RrX2/Odc6eMf7Bz5u2tevnj2xWJBpX3HbU3RvVzx/ZrIvOPsL9+fHoGpEfgWYSlMobbKmh5arEpZZZVUCWlVqkzHZ9Yx7L9Fqv/ia8bu73ak8k08fEpB4mU5RNF+HLbI2I246CgZFbI1ZvaNWUmpCm11erKhTQYCyxU3e+18qqtdsL3g9r+Skt+vmjWxQZiClu2woGAqqpCWv5KS2ux5u476m/qTcSSwd823HUG4npvqf+llNvkw04MXECox+C8WqaVqNozM4qoz/V/RNpMBjQ6g2txa4aJEWicc1oqFEoaMl2Ep/mZzTUKBKN5xzb3hVRb39UrXsO6M3dB9S654B6+6MjTq/16m9iyeJ56usf1K72Xr29t0e72nvV1z84odNxO3ujWSF807b2cZ/b5DExrceSxfMUClpqrK/W3KY6NdZXKxS0XB+TdPeUldxrybIkRyMvwpcOuc6wr3O1d0UUDmXfevIFt9Tu2QOD8azds1et3e567kUtTbrorIVaMLdB0+trtGBugy46a+GEhIg9HZFkmBl6XCxLruNzdrb36kD/oOJxO2MDzkG2VfAYLTSToFIGkZqi5aq0pVo6Zmes4TEwGFdjXTjnWMe2daBvaANAx5EO9MUUrnf/zOT530TWDdaasOZ+0+4Yk1aUzMck0UUUz/uYmLaImXR/mS7Cl9nikjJSi4tJC5rJ7tljYdblnRhzFB+2T1QomHtkPO7IjjuSJcUcJ30s2yp4i0AzCSplEKkpZgJMvrHeYEcLHT2RoTCT6qgaXp7J6zVATG6wJo+JSXeMaZeqyQq6Xn4YMF2Ez3TwuMmA2Ug0sYVB3HZyyt2YPOamz09DXVj7ugdy9olqcAv4jq1kDsw61nHsnGMxcQg0k8TPg0i9GrhLy9XkGssNViosdAzGbAWTC7alPr0GrER5PqWwBojpY2IyW8i0FcVkBV3TDwMm12m6CJ/J4PGU/mhMg7HUY+bIkXvLhZWZjoeXuzBpQTN9fhI7dg/kKR9ev4ACViLUpP4erGQ5vEOgwYi8HLhLy9XkGsvMokJDR004pIHBuKoyuiXitqOasEt7/BiYrM9isvz96g2t6u0fVH80nr7xjNSFZNIdY9pyYTLLyfTDgMlzv6W1U9PqqtMDiKtCgZEX4bMs2ckWlKwZ03lSxy9Xb8kIMwmDMUe/XL1F//alk7LKnTw9NPnKTVrQTFu5unqjCgQkOyOjBwKJ8uFCQSsZ8AIKBhLdZI5js/Glxwg0GJHXU8792nLlx+nmXnZTnH7MIVq1fofittI3ekeOTj/mkLw/U+hjaLo+S7qFQYnQEYvZ6o65L3+/Y3e3ItGhO5TjSH0Dce3Y3e1aZ5PZQjVVAe1s70ucV5IdjWtfNK6Dm3KDlWT2/Jh+GDA5d3tXRPVTqrK6UvJt8CglbuhWxo3eUf4bvSTtO1B4uZ0nuOQrN2lBM23liscdWbIUDmWHdrdzZ79OEoF3Ije+hDvavzAikxkJlSK1HsX2d7rVcWBA29/p1s8f2TwhM1285OXMoqUnLdDihbPkONJgPDFocvHCWXkHbprM0jGdDZda5t9xnGRdHNWGQ1l7/KREBxM3Iyvjf5nlw5nMFuqPxhNdDsmvU//ud5klJnn7/Jicu2lajbp7o9q9v09v7+3R7v196u6NFnCjD6T/Z8kqygDYRAuIkw48I7Wgmc6GMz136nUy/6CpI75OMHEINBgRU85zpdajSAxozF6PopQtWTxP8XhizQ/HcUacRWNq07Z2vbajQ6FgYkZKKGjptR0deUOeSUgxDdWZy/xXBS0FAlbeZf5TYzcyQ0dm+XCLWpp0/mmHq7EurL5ITI11YZ1/2uGuLSPdvYMKBoZ6XixLCgYS5W5Mnh/TUG1y8144r1GdPVENJBeQG4jG1dkTzTuGJhRMdDkNxmxFY7YGY7ZsO/+sKBNVQfdbVL7yuU11aqirzlpqoKGuOv+u4gbTzU3Onfk66ekf+XWCiUOXE0bEwN1cmetRSIlP9bYmf78YU5mzaDIXKZuIN1mTRccksy6QsXQNFNrtUBsOKRKN5QzerAnnf2ssvJs0MaJk+Lgi11Guyu5G6uiJavoIY4Xue+pvOtA3mP4tqUCR7/GWVPBUdtMNHhumVKmnfzB9vJM8vmFKlev5h587s3y42uqgYn121iNmJcvdpN6vGuurR32/Mp0Nl5qdZduJFkjbdkZ8L0y9Tpqb69XWdsD1GEwsAg1G5PXAXT+ORfF6vxivZM6iaQolWt7yzaIxZRrymqbVqHXPgZzBuPNm1+cca7I+i5LH9A04OVN93VoMUmN/ArISAz4LGPtTqLEsw1/oTfCdfX1ZN3kno9xN5sq1sq0RV67d0xHJCRy2476AnKTEoGCX4/MFprlNddrZ1psTUtxaOjKnkNsFTCE3eb8a05gyj9Y3wsQg0GBUXg3cNZ1BVSrhx8v9Yrzk7QBvs5A3fWpYW1rjWcf2DcQ1fWrumh4m67NIkm27TxV3K0+1OBS6tL5U+OvQy2X4U7N8Mm+nTkb5cDvbe9XTPyg5QwOUo4PxnNAnSYNx98cvX3l7V79RefbjktwqoTrk+riYTiE3YdryZxIKURwEGhSNyQ22lPZ9Wn5Ki+5c9Zoi0bhiydaFmnBwQm5Ukvmu1YVOZzadRmxSF9OQ98KWvXnLLx42N9hkfRZJ6om4D7rNV770pAUFrzq7aVu77nzwVUUGbTmOtK87ojd3d+vSc96bU5dFLU366Pvn6vGNb6dnRH30/XMn5PUaCFiK27kjfQJu/TaSBpItYSmpRd8GXAYoD+3blVvuJnOWWCHli1qadOT8Rm3Y3CbbSQThI+c3uj4uplPIN21r14/u36TB5GW1d0W0bWenvrRskevUd5M9qHa296a7+SQpHo2nxxmhNDAoGEVjMtiz1PZ9qgoFVRVMrDFRFQyoym398zEwmf2TeWzmdOZ8A0NrqgLa1zWgaPJNOBqNa1/XgGqq3N8GTOqy/JQWhauCituJgaFx21a4Kn/Iy/Nh37W8lJ77X67eov6onbHyq9QftfXL1Vtyjs0MYofMmqqGqWGte3X3iLPhNm1r182/elmf//4a3fyrl/Mem28MSb7yfAscupWbrv1iatXa7dqwZa8sSwqHEuu1bNiy13V/ptQU8tkzpujg5qmaPWOK6qdU5Q3hdz30WjrMpAzGE+WuDAYF90XcB3PnK8fko4UGRWPS5DuW/m6T1gsTpoMJTc9daKuVyUJs0tA04hQnozxfXUz2LaoKBRN73SS7VyYq5GW2LMXjdno9mmIsHbA/uVbK8K6e/S5rqIxlpeBC19sxCSipOpqUe+nxjW8n16xxsgKs2/5MJoskSmatc6Z/xyYhfCxKpUvdzwg0KBqTGVTjWeq9kMXYTN5MvFygznQBNJN6dPcOZu2zJCVuzPmmEZusuuplyBu+QF08PvICdQ1TqtTdl3tN+WbdrFq7veAxNMOndw8vz2T6/JgE1LFsNVEok1lIY9E34L4Pk1v5wnmNWesHpbp53BZJNDWWLlgTJh+oSqlL3c8INONAos5l8piYzEgYz1Lvo90cTN9MvNxU0+TcxtOZbdv1RhzPM4jWZPqzlyHPtGXporOP0A9/s0mZ9/ZQIFE+3Kq12/XbtTvSX/cNxNJfu4WaUEByywwhl14709aF9q6IBgZj2rM/lg4pU2tDirn8wppwKCsAOI4Ud6QpLvsKea1+SlXW2JLM8vEynUJuMv5nLHtQFSq1TlAkGpftOOrsjujnj2zWRWcf4fqe4vWK7JWCQJOBRD0+Y3lMCp1B5eVS76ZdK16uzWNybpNdiyWpKhTQwGDi5pjZUlPldjeW2b5FXoa8jgO5GwKOVC5JVVVBxTOmhFdVuXd/PfoH93E4j/6h1fWG2Vhf4/oaaqzPvU7T1gXHtnWgLzukHOiLKVyf+/zMqA+7tmjMqM+dJWYq83UyvNzNtLqwa6CZ5rILtSnTKeTvOWSatrzV5Vqew7LcB/ROwFTs4esEWRp5nSCvW4sqBYOCk0wHWJbSQEVpaDDhVXesH3EwoZdK6TExWeF4Z3uvDvQPKh63M7pWBl1XlpUS4erE9x6k7p6o3t7bo+6eqE5870ETtrdVoSvRSomptINxW7G4k/53Pplhw8lTnmluU50sSbF4YqBvLG7nXS/EdBXifN0/buWmg1Tve+pvig7aCiZXCg4GLEUHbdeVnIe/RkYrHxiM59zvLCtRPlyqdSFTqnXBTUeePY7cyt9ud19vJl+5iXxdS/nK8+3ZlK/chOkUciVDfaaacNA1pJhONzeRWido+LYX+dYJqqkKqONANOs9qONANO+Afbjj0UoyvRmX0h5HpbK30Fgek0KDmMmMG8nsBpvuWrEsWZaVWBzOUd69aMYye8ULmTfucCgw4o1bSoQFtxtsvnAhx8npXonZck0SpkHsorOPUPWwN+vqqoBrt5CpzEX+Us+nZY2wMJyB1GslczuDfK+V1O/LOlb565Evik7QmNOCWZb7bSFfudvU75HK8zT05C030d4V0azptZp/UH36f7Om17q+B+XbrytfuQnTTTXTLyQlXrPpNlQW7jNCoEkyvRmX0h5HpbK3kOlj4uUGhSZ7qZhsOpeqy2DMVseBAe1s61XHgQENxuwJaYkyeUz2dETkOIkVcRNTpRMbMY60oqvjDM3QsZTMJnneNLe+7b7jdL5yE4tamnTm4nmaUh1SwEqM/TgzTxdiOM+n1HzlUmKcz2CyZWkwbicDR+7dxHSvIMexsxawc5zUgna5sSNu2+lBu6ljbSf/mKVS4XYtI5WbtnIFAu6Pbb5yEybvQXaeJr585V6KROOa0VCTtU/UjIYaRfKEQrhjDE2S6RiAUtrjyHTZea+mM49n4K408kC4sQw6LXQZ+blNddrT0Z9evCsUDKi2ulqzp7sPDjSZ/WPKZDxP6oaZkrq5Ks8Ns6s36jq4Nl/XgMkbfuYgyLjtqLs3OuIgyE3b2vW7F1rTC9T1R2P63QutrovlmXaBNNSFta97IH2Bqeo2uI7pMGsXsayAAtZQqEnt/eTWeuH1bCGveD09Od9CdBOxQF0pvS+bSA0gT72uHCVmrOUbQA53tNAkmY4BMG1i95aT0wvgpJYCHcZ0rJAJ08fEpFVsLC1ihS5StmTxPIWClhrrEzvnNtYndtTN99ybdlGZ2Nneq67eaNbid129UdfxPJmDNDMbWfIN3jTtGjBx31N/U3ffYLqlKJoMZflaCU0WqDNtAejqcR8s7FbuMvRlxPJQ0Erumh1IdvMFZFnu+0R5HQy8Yvp4m/Iy0CxqadK75jZo7/5+te7p0d79/XrX3PHvVea1hfMa1d0XVSyWGEMTi9nq7su/wznc0UKTZLLTbebPePWHYjL92WTZedPF2EyZPCYmrWKmn7xM1qExnUFlMvvHlMkS9dVVwfRslMyfyTfIN/OGkTnLKd+NJBhwnwUSdGliMB2k6rYQXb5y02CQ7747EffjuU11+tvbnYpl/PJQwH2gdCktZlcpVq3drudfHxp0bTuOnn99r2bP2F7w9hb5DF/DKbN8vEy3eIA7Ak2GUtnu3XT6s8kmeONZcddkb6FCjjUJKaahI7Prpr2zX8HgyFOxTYKYaReVyWNi8unVZBNGKdHV4VjK6S7J1wXiOI7rQnzOBIwx8O3N3mCgNCaf6TR8E6Gge8vdRCyIndriIbNb1HEcpm0bItCUINNFlha1NOmisxYWdNMcz4q7o4Ur0yBmGlJMQsfw3YXj8fy7C5tKrf9i24muPtt28gYx08ckX1hwKzfdhHH2jCl6u22o6yrVVz83Tz/98MXbpMTxteHKfdswGSht0sKFieFld5lp96QJL9dxqiSV+87kwqvBsqbGMwB2NJmtIomuk5HHCq3e0Kre/sHEaq3JT/X5WjrGstqlV912Jl03Y9EfjWkwlvgFiV2P3YOI6WPi5UDSqTXuf+75yufNqnNdpGzeLPcdtCuByUDp2uqgevpzF7/Lt4EkKpdfBzOXGgYFJ3k5WNaUl1PCTaYzS9KO3d3qG4hnDd7sG4hrx+7cT6TtXRHFYnHt3t+nt/f2aPf+PsVi8aI0m3o58PCXq7ekw0zKYMxxHdBquhyAk6dHPl+5CbdwMlJ56173WVv5yk3ku5pyartwCzMjlXu5PgtKW2lNMvEvWmiSvB4sayJzSfu47SgYGHlJe1MmY4UiUfemWrfy4ZsI2tGRNxGUvNsPy6TrxtS+PANa3cpNm5IDluTWhuTWQmO6CaMpk00EMX65I5Yyy1HuvJxkUikINElj6eYx2aXXVGoZ+8RiXI6C8ZHf1Epho0zTTQTHsnZJoddouh+NV0ybktNrqLiUD3fkYdOzZnRklpe6YJ5NHvOsZ1cRvAzhKH2l8B7udwSaJNNP0qa79JrIXNI+9ZkttaR9vhu9ycBTr8YKmW4imFrhOLXbbeYKx24Dju988NX0Qmz7uiN6c3e3Lj3nvXnHorjJV+7Vm8miliZteG23NmxuS28gufiI5gk595+27TcqLyW0Rrjw7dQvjJfphzu4q+DPQ9lMF9YbaXrgeJnuRWOyFL/pWCGTYJD6IGll/C+zfDzXabIQm5Ra0TV7H53E17kv+U3b2vWj+zdpS2un2rsi2tLaqR/dv2lCxk+l1sVIDRpNrYuxau121+NNQqGfu4RojchVKns5YfKlduceTC5MORizdWCEhSnhjhaaJNOF9UynB5p1TyVX/s0IDYkZRu5v9iZL8ZuOFTLZ6TiQnKaaqrqTUZ7vOuNxR3HLSc+gkuO+roPJQmxSYgaXM6z/y5H7iq53PfRaztTLwXii/LYrP5yn7oV5MKMVb3i52/NvvKmdT1XKdQKFSO3OneJklKNwBJoMXi2st2rtdq1av0OWLAUDianSq9bvkOTePWWy8q+UWHLfbdl9t7LEmCBHHQcGFI/b6ZV088+6cedWPmfm0DonzrByNyZ77pi2xg8fMOtklA9nup6LCXoRAIyGgD8x6HKaBI9vfDsdZiwr+V9Zenzj267HLz+lReGqoOK2ndwbx1a4Kui68q8kRaLuXQxu5TVVAe3rGlA0GlcsntgraF/XgGry7lxcuA+9p9mofCDPilT5yk105tlwMV+5iVKZclwq9QCAUkALTYZ0t9BgXDVVwQmbtRSJxmQ7uWug5AsikpJjeRL/dpyRb/Im6d50JpKJF7fszVkYLmAlyt0eR9N1Okz05jlHvnITpdLqUir1AIBSQAtNUqpbaGAwrlBA6W6hfIM3TZg2J9710Gsavh2PbSfKx8ttSvBI5SZSg3kzB+Jmlk8mbvYAUFlooUl6fOPbcmzJlpMIE8mN+x5a/6bWvbonOUMmMaYlELBG3I/l3+55JWv2zkjH3vXw6+ljA4HELJ/+qO36M30Dcd3/7PasuqT+K7ncrB3pmT/uzJpBNJJN2/YlzhmwFFDi3CPZ2daTrHOiDrG4nd36kxyI68Rt9UUG0/UIBEY/NwAAJgg0SZlTXVP7/iT+66its9/oXJvf7Cj42PWv7jY698PJwcSF+sXqvxR87K3/8yejc3/zZy8UdJwj6fJbnzM695dWPJMxnXvYuJBhWejan/4hEcKSoS0nvA2bMfYf9/4xEaySxw0/NNN/PbY5KxAGRgliD617I3F8YPQA+dymd4bqERj93Jt37C/43Lv29WaFzdHOPRiLZ10ngROA3xBokgKWlV4rpLY6pHBVIH13O/v4+bIdR3EnsU6GY0u/eyF7jZdU+HEk/a9Fc2Qnj7Ud6flXdyuVkIaPXzmqZWZi1+bEj8u2Hb22I3dhtNR4mr87qF62EnWwncR057fberLrMVQhTa+vTmxDkNwZursvmlWJzPqkpjqn6l1M/QMjjOkZVreCpjZm/Myr2wtfeO7ZP+0q+FhJeuC5Nwo+9u5H3dfQyefffv3Hgo/9xk83GJ370lueyfp6tDjzT7c9l9ViOZLr7n5hKJwW0Dr3g99sGgqQo5z7vx//S3bgHOX4x/7w5lBIHuXYP7y2Ox0KLY1+7q1vdSoQKKw1tL2rPzuwj/IDjuMQMoFRFCXQPPTQQ7rjjjsUi8V04YUX6vzzzy9GNbJY1lDa6B+IKZKcDBMKSB/70KE5xz/w3PacN/3U+82nP/rurPJn//hO1htc5s9dds57c879xf94xvVYy7J0zQUfzDn+SyueHVrHJUPAkm750olZZZff+lzeet/2T/9Lu5Yo7wAAG85JREFUkpVe3MxxHF35g7U5x0mJh+r6i45Nhx/HcXT9L17K+K6UWjbHkfSV846SnQxhiXDl6McPvua6S3HAkj572uGybclJrsnzwLPbsrYySP1UOBTQ6cfMS4Y7J/071v95l3oiyVY3x0k/kFOqQzr6XU2JOie7F1/YvCfrMCfjt7z372bITm4/kQqRf3mrc2iq+bB0eMisqeljHTna1Z5aXyLjrMl/TqsLZ4TNxOPYFxnMCqWZj4772rreGO33HHDZQyqf1j09ox+U4ZW/Fr6g4ZMv7zQ69/88va3gY3/y0OtG575x5csFH3vVHc8bnfvzNz0lyaX10cVXfrg22fKndNgbyff//xcLDqc/euDPWeHRGiX6/vqJv6ZbFFMBbiRrNr6VPvdo9X5xy16jc7+xq7vgltbOnoGsYQCjXWcl82rl+bGY9ECzZ88erVixQvfff7/C4bA+85nPaPHixXrXuyZm48Wxig8bhJu66eSbXGQbNGHEhp98FAMjzDhyW9AuFrNdF/QLhwI5x/f2578ROam+tiTLstTTN+h6c7MkTaurzio7MMKU6MMOasgpO9AXdW0JCljSMQtnZ5Xd/8w215vozIZqnX5MbuDc+Ppu12udXhfWP3zs8Kyyp1/Jf1P84iffl1P2+ZuelOTSimFZuvaCD2UVXXzzUzk3oNQb7/CwKUmX3fJ0znEpd3ztw8ngkwh5V9z6bN5j/+8lx2Uda9uOrrt7Y1a9nWSdJUdfO+/oZMBz0vuH/eA3fx5W96EvLlzynmQ4TYTZX/1+a/ZxydeSI2npSYdltSjajqPfvfBWstVh+PkdnfDeOem627a0ccue4bVOv67//rAZGWE28fv++lbXUNDM/o/mzqxLX6ftSHs7+rLOl+JImlpblWiRTQVax1EkGs8JmpPJdkb/5V09ZksTbHunu+BjX/pLm9G5H9/4ltHx9zzx14KPvf23rxqd+7u/eLHgY7/6w3VG5078nRfW8nfVHeuT3cyFdQffuPLldNhMBdS39h5QZ8bzPLOhWi0HT8tu9cs4//BWzKxQmnVM9u/J7MJPt1ZmlO1s69XzyZbMaXXhUbfd8dqkB5r169fruOOOU2NjoyTpjDPO0OrVq3X55ZdPdlXKRkNdOL0wXuaneLcF6krJ8CnemeXDme4TtacjolDQSv+hpm6QEzHjyhl2k8z5RobhU/Xz/GRavpWmUyzLUjD5Bui2+WZK49TqnLLICEG55eBpRscfe0R24PzZI5vzHrvk2Pk5Zb8doWvu/NOyA+ezf3on77GXL8sNnBfd+GTe47/9f44p+NhbrzhpxHOn7kOplr07v35KuqXNth1dfuuzeVtDb7jk+KyAZ9uOvvNfG3N+X6pl4KufPioRwiQ5tqMf3P9n13FllqQLlywcqkfyd/x6eFBIjR1zpLNPOCwZ8BLHPr6xVcPjeup95fgjZ8txpHhGiHx5a7vcutQl6fBDG7NaIG3H0RvJADX8WMeRZs+ozWpp3Zex4KeT/X+qqQ6lj0215A6O8vfjlcTfeWExd6QNj91sfatz1GP2dQ9oX3fuRrWTqadvUAc31ymq/CvPe23SA83evXvV3Dy00NqsWbO0adOmya5G2ZlWV6UDfYOynUQgqHdZEXcsUtsZSIVuZ1A4kw0KM/eJGjrOvcUq9V2T7SMAU5mvPUdSaNhW4a6NKcmCpsbanPPFXFb2Tv3Ae+Zl76A+0o37uCMPyin7r8fyj9c667jswPng2vxh83OnvyenbN2f84fCK//3UTllI4XI735+ccHH/vDKk/Oe27KyepolS/rRV07OaG2TvvKD54a+qYzlJiRdd9Gx6Va8VCvd//3vlzLOl91ieMWy9w2FU8fRnasyuiud7B/5h1PfnTxuqC4PPLMt2WI61FWf+oGPfeiQjJZTW8/+cVdGN/bQG5wl6QOHN6frkNmyaNvKbsnMqGv6ODv7+MyWzNRjkNly6jiOuvuismTJkaNpU6tlWZbCoYBxaJsokx5obNvOah43Hew2c+ZUL6qlqlDA9U2iKhRQc3O90blMjnc7NvXH6Fbudvyc5qnq6O5X8/ShLQYi0ZimN9TmHG967kNn16t1d3c6PKRmBR06u37c1xkIWOlPVulzJ5s2hx8fCFpDWzlk5KBAMPdYSTp4Vr3e2nMg+Sc/NNLl4Fnjr/dEHe/Xc5dSXTh3+Zx7IuuS04rqSIcenB0Kh0YC5L4hLlqYGwoHY7ktaCmnHHtY1te33ffnvMcu+1huKPzVmq0uRyZcsiw7FK7e8KCkYWMak5fwL//fsXnP44Vv3rlenQf6VR0Opbu2I9GY5jRPNX7uJ8KkB5qDDjpIL7441JfZ1tamWbNmFfzz+/b1GI1fKdTZx83Tg2t35AzCPPu4ecb7Og0/PhjIHaOTKnc79zknHqbfumxqeM6Jh7kef+r752rlmq2KxR2FQ4HEdglxW6e+f27O8bXhkPoHYjnXWRsOuZ77kycdpp8/ukWRgZjitq1gIKCa6pA+eVJuXaqrAq7dINVVAddzz55em5xeHEh3PzmOrdnTa3OOnzNjina29yaatZOfvCwrUT5avWNxR8GApbraKtd6j2S8z305nruU6sK5y+fcpVSXUj53ekbusNtgwLImdA/CQpxy1BytXLNVkaitupqQeiOxvPeeiTJSUJr0lYJPOOEEPf/889q/f7/6+/v1+OOP6+STc5sOJ9vSkxbonJMO05TqkAIBS1OqQzrnpMPybn1w5f9eVHD5FZ9alNuXnizPV5dPpupiJWbmfHKEuixqadL5px2uxrqw+iIxNdaFdf5ph7v2YZ5+zCGyAlIwYCkcSu4rFUiU5zv3RWct1IK5DZpeX6MFcxt00VkLXc995uJ5LgNgE+Vulp/SorracGKHcNtWwJLqasOue1YtP6VF9VPCqgoFFAwkWs7qp7gfO7zeTY21I9b7kCb3zTPzlef7o2HZbQBeW3xEYsiGk/G/zPLJlHnv6ekf+d4zGSzHceuA8NZDDz2kO++8U4ODg1q+fLkuvvjign/WqxaaTIXutp2artbeFVHTtJoRp6uZHOs1r/asyjp3NKaacGjUc0/GY1jI8/mtu/6gt9uH1rM5pGmKrv/CcXmP/8KNTyqzLSog6a5//ajrsW7jAH6e51jT4708dynVhXOXz7lLqS5+PfdPV72qDZvbZDuOApalxUc06+KluUuATKZC75sT8XvyKUqgGY9SCjR+x3WWj0q4RonrLDeVcJ2VcI1SaQQaWskBAIDvEWgAAIDvEWgAAIDvEWgAAIDvEWgAAIDvEWgAAIDvEWgAAIDvEWgAAIDvEWgAAIDvEWgAAIDvEWgAAIDvEWgAAIDvEWgAAIDvEWgAAIDvEWgAAIDvEWgAAIDvEWgAAIDvEWgAAIDvhYpdAVOBgFVWv6fYuM7yUQnXKHGd5aYSrrMSrlEq/nVajuM4Ra0BAADAONHlBAAAfI9AAwAAfI9AAwAAfI9AAwAAfI9AAwAAfI9AAwAAfI9AAwAAfI9AAwAAfI9AAwA+wBqo5YPn0hsEGgO2bRe7CpggPJflpZyfz+3bt6unp0eWVRnL5/NclpfJfD4JNKM4cOCAotGoJCkQKN+H65lnntGvfvWrYlfDUzyX5WPjxo1auXKlfve736mtrU2BQKAsb4RPP/20vvvd72r//v3psnL7dM9zWV6K+XyW77v6BHjiiSd04YUX6qqrrtLVV1+tAwcOFLtKnnj22Wd166236ogjjih2VTzDc1k+nnvuOX3729/W3r17tWHDBn3uc5/TG2+8UXY3wt///ve67bbbdN1116m5uVn79+9Xd3e3LMsqm+vkuSyf51IqgefTgavt27c75557rvPiiy86HR0dzqWXXup87Wtfc/76178Wu2oTat26dc6xxx7rdHR0OBs3bnT++7//27ntttuc/v7+YldtwvBcls9z6TiOs2LFCufXv/51+usf/OAHzgc/+EHnjTfecBzHceLxeJFqNnE6OjqcCy64wLn//vudNWvWOOedd57zpS99yVm2bFlZXSfP5RuO45THdTpO8Z9PWmjyqK2t1cEHH6wFCxaosbFRP/7xj1VbW6s77rhDvb29ksqjr9eyLC1atEgPPPCAvv/97yscDmvdunX6xje+oba2Nkn+v06ey/J5LiUpHA5rx44d6a8vv/xyff7zn9fll1+uvXv3lkV3Yk1NjU488US98MILuu+++3TLLbfo+uuv1xlnnKGLLrpIe/bsKYvrDIVCeuutt9Jfl+tzecIJJ+jFF18s6+dSkqqrq4v6txm87rrrrvP0N/jY008/raamJs2fP1+S9NGPflT33XefXnjhBZ122mllMbBr7ty52rFjh9atW6evf/3rOu2007R8+XI9+uijZXWdTz31VNk/lwcffHDZPpdvvPGGent7FQqF9K53vUvf/e53FQ6HtWjRIjmOo2OOOUabN29WbW2tFixYUOzqjtkbb7yhnp4e1dTU6H3ve5/uv/9+HXTQQfrkJz+pUCikY489Vn/5y19UV1fn2+tsa2uT4zgKh8NqamrS9ddfr7q6Or3vfe8rq+eyra1Ntm2rrq5Ohx56qH7zm99o/vz5Wrp0adk8l5K0efNm7d27V319ffrABz6g73znO6quri7K32bI07P7zLp167T2/7V3r0FV1WsAxp/NBoWQqxkIaIqZjpcwQTAD8ZqjpaGjjo5KpI6ZNiBeRsfAC6RiQlkmg+MtcnRGqaAGNEdEExUYzZzEQhAVM7m7BTXkttf5cI77OI6dglMuluv9fVKGD+/Dn5HXtdfanDyJg4MDU6ZMYeTIkSQkJODg4MCAAQMA2LBhAx988AGNjY3Y2NioPHHrPNwZEhLCmDFjqK6uxsXFhebmZoxGIytXrmT9+vWWv2tNTk4OZ8+exWAw8PrrrzN+/Hji4+OfurN80AkwZswYQkJCqKqqeqrOMjMzk61bt+Lp6Un79u0JCgoiOTmZiIgIAGbOnAn8+0bv6upqNUf9vzzaOWTIELZs2UJRURGA5XvUaDRSW1ur5qitYjabuX37NnFxcQQHBzN8+HC8vb3ZsmUL0dHRGAwGpk+fDmj7LB/tHDFiBG5ubqxbt47y8nJA+2f5wLFjx/j000/p1asXlZWVhIWFkZiYyLJly7Cysnri5ykLzX/k5OSwadMmJk+eTGFhIQcOHGDhwoXU1tayatUqIiMj6du3L3l5eZSVldHU1KTJH4KPdn799de89957REVFAVBVVcVzzz1Hbm4u1dXVNDY2au6H4IkTJ4iPjyc0NJRbt24xYcIE9uzZw5QpU1i9ejWLFi16Ks7y4U6TycSkSZPYvn07UVFRGAyGp+Is7969y86dO1m1ahU9e/akoKCAuLg4hg8fzubNmwkLC6OkpIQOHTrw448/EhYWpvbIrfK4zvXr11NWVsbChQtJSUmhoqICZ2dnzp8/z9y5c9UeucWsrKxwdXUlLy+PmpoarKysCA4Oxt/fn9jYWMLDwykpKcHOzk7TZ/m4zqCgILy8vHB3d2ffvn3U1NTg6Oio2bMEuHXrFlu3biUuLo7u3buTmprK8ePHiY6OJiYmhoiIiCd+nvKS038cOnSIF198kbfffpva2lry8vKoqqoiKCiIbt26cfjwYY4cOcLZs2dZvXo1nTt3VnvkVnm088yZM1RUVADQ0NDA2rVrOXr0KCdOnCA2NhZ3d3eVJ265AwcOMGrUKCZNmoSvry8FBQXs2LGDBQsW0L9/f9LT05+Ks3y089KlS+zcuRMfHx9sbW2JiorS/Fk2NjZy/PhxJkyYgKurKx4eHvj4+PD555/j5eXF0qVLLf/ze/fddzV76f5xnQMGDCA5OZm6ujoCAwNJT0/HbDYTERFBjx491B75L1MUBYPBQFNTExUVFZSUlNC7d29+/vlnANzd3fH29mbUqFGYTCYMBoMmz/J/dRoMBjp37oytrS02NjZ89913mjxL+G9ndXU1GRkZzJ8/HxsbG+7fv09aWhpjx47F29ub0aNHU1NTg6IoT+w8DYryFD4I3wr79u0jNzeXgIAAvvjiC1555RUcHBxITU1l27Zt9OnTB5PJBICrq6vK07be4zqdnZ1JSUlh586d2Nvb09DQgL29vSZ/ACqKwsqVK7GxsSEmJgaA5ORkbty4QUZGBqmpqXTo0IH6+npAu2f5R52lpaV88803pKenU11djdFo1ORZ3rt3D3t7ewA2btxIfn4+27dvx9bWFkVRyM3NJSUlhdjYWMvnadFf7dy4cSNGo1GTN48+aFQUBZPJxLfffktoaCh79+7lwoULBAcHExgYiJOTk9qj/l/+V2d+fr6l09HR0bIUaNHD37Pbt2/H39+ffv36ceHCBTZs2MD+/fuBf1/BedL/vur6Cs2VK1e4desWjY2N+Pr6UlVVxbVr13BzcyM2NpYhQ4agKAqnTp1i+PDhPPPMM9jZ2ak9dov9WefgwYMBOHnyJCEhIbi6utKhQweVp26ZB40GgwF/f38SExPJy8sjKyuLX375hYSEBEpKSjAajfTt2xc7OztNn+UfdW7atImSkhKsrKwYPHiwJs/y+PHjJCYmcvr0aWpqahg5ciS3b98mLS2NYcOGYW1tjZOTEwcPHrT8x0OLWtLp7++Po6Oj2iO32IPGBy979uzZk4CAAAwGAz4+PpSWlnLu3DkaGhro2rUr7dq1U3vkVvkrnT/88AMNDQ106dKF9u3bqz1yqzz8PWsymQgKCqJXr15YWVlRWlrK6dOnmTx5MqmpqezYsYOgoCDatWv3xJY33S40mZmZfPjhh1y6dInvv/+emzdvMmfOHJqbmykuLmbUqFEAXLx4kfr6egIDA1WeuHX00PlwY1ZWFiaTiZiYGJqbm3n++edZvnw5AFlZWTg5OdGvXz+VJ26dv9p57NgxHB0dNdlZWFjI4sWLWbRoEdbW1pSUlHDo0CHGjBlDTU0NSUlJ+Pn5kZeXR05ODhMmTNDkFRo9dD7caDQaKSkpITU1FR8fH8ty5uPjw5UrVygqKmLIkCGaXGha2vnqq69qvvPB4/YZGRm8/PLLODg48Ouvv1JVVcXvv//O7t27LS/nP8krUbpcaCoqKlizZg3r1q1j8uTJ2Nvbs3nzZu7cucP48eP57LPPuHjxIsXFxaSnpxMeHk7Hjh3VHrvF9ND5uMb4+Hiam5sJCwvD0dGRtLQ0zp49S1ZWFvPnz8fZ2VntsVtML51lZWXcu3ePWbNm0b9/fzw9PSkvL+f06dPMmzcPk8nEkSNHOH/+PNHR0ZbH8LVGD52PNnbp0oWbN29y8OBB/Pz8LAuar68vAwcO1OQVKNBvp5eXFzdv3iQjI4OBAwdSV1dHTEwMpaWlbNq0iRdeeOGJz6jLhcZkMpGRkcGMGTOwt7fHycmJ27dvc/78eQwGA5GRkVy8eJH27dszf/58evbsqfbIraKHzsc11tbW8tNPP1FTU4Ofnx+HDh3CxsaGBQsWaO4GvAee9s6CggKKioq4d+8eu3btokuXLpY3QnR3d+f69es0NDQwe/ZsRowYwRtvvIGbm5vaY7eYHjr/qNHJyQkPDw+uX79ObW0tffr0oampCSsrK2xtbdUeu8Wk87+ddXV1DBo0iMuXLxMVFaXKMgM6W2ge3FXfuXNn8vPzyc7Oxtvbm71792IwGBg3bhzZ2dlMnDiRoKAgBg0apMmbRvXQ+WeNY8eOJTc3l3HjxjF06FD8/f01d/UJ9NGZmZlJbGwsV65cwWQy0bdvX86dO4etrS3dunXDxcWF4uJiCgoKGDZsGEajUXOPn4M+Ov+s0dnZmeLiYoqLiwkODtbkTc4gnY92FhYWMnr0aMt77qhFm1/lFnrwINeuXbuIiIigsrKSmTNn0q5dOxISEigvL2f58uUEBARQVlam2Td00kNnSxpLS0s12Qj66aysrCQ5OZnNmzeTlJSEi4sLZ86c4aWXXiItLY2DBw8C4ODgwN27d6mvr9fkbyjWQ2dLGmtqajTZCNL5R50NDQ2qP2ihizfWe3BTkpWVFUVFRbz//vusW7eOtWvXUldXZ/l17rm5uSiKgrW1Nr8seujUQyPop9Pa2prGxkYaGxsBmDp1KufOnSMoKAhXV1fi4+PJzs4mLy+PpKQkzT4doodOPTSCdP5RZ1u40Vmb/wq2koeHB/v37ycpKYnFixfz0Ucf0alTJzIzM/nyyy9xcHAgKipK8++HoIdOPTTC09/p4ODAtGnTsLGxwWw2U11dTWlpKV5eXvTo0QNPT0/s7e1ZsmQJzz77rNrjtpoeOvXQCNLZpjv/0d/l3cYUFhYq9fX1iqIoytKlS5XQ0FClsrJSURRFKS8vV+7cuaPmeH8bPXTqoVFR9NF5//59pampSVEURcnPz1fGjRunKIqipKSkKEuWLFFqa2vVHO9vo4dOPTQqinS21U5d3RTcsWNHy012r732Gnl5eezatYvRo0fTqVOnNnHJ7O+gh049NII+Oq2trS03Td65c4fffvsNRVHYvXs3y5cvx8PDQ+UJ/x566NRDI0hnm+1UdZ1SSXNzs+XP0dHRyo0bN1Sc5p+jh049NCqKfjqvXr2q9OrVSxk7dqxy+fJltcf5x+ihUw+NiiKdbYluf5eT2WzW7KN0LaGHTj00gj466+rqWLlyJeHh4XTv3l3tcf4xeujUQyNIZ1ui24VGCNE2NTQ0PBUvpf0ZPXTqoRGks62QhUYIIYQQmvd0X78WQgghhC7IQiOEEEIIzZOFRgghhBCaJwuNEEIIITRPFhohhGrWrl3L1KlTaW5utnysubmZadOm8fHHH6s4mRBCa2ShEUKoZsWKFdTV1bFt2zbLx7Zt24bRaCQ8PFzFyYQQWiOPbQshVHXp0iWmT5/O3r17URSFefPm8dVXX+Hm5kZmZiZJSUk0NTVhZ2fHihUr8PHxoaKiglWrVmEymaisrMTT05NPPvkEV1dXhg4diq+vLwUFBSxbtowRI0aonSiEeAJkoRFCqG7Pnj2kpqZiNpuJjIwkODiY4uJiIiMj2bNnD05OThQUFDB37lyOHj1qWX7mzJmD2Wxm7ty5BAcH89ZbbzF06FBmzJjBO++8o3aWEOIJslZ7ACGEmDVrFocPH6ZHjx4EBwcDcOrUKcrLywkNDbV8nsFg4Pr168yePZszZ86we/durl27RnFxMYMGDbJ8nq+v7xNvEEKoSxYaIUSb4OXlRdeuXS1/N5vNBAYGkpCQYPlYaWkpbm5uxMXFUVBQwMSJEwkICKC+vp6HLzbb29s/0dmFEOqTm4KFEG3S4MGDyc7O5urVqwAcPXqUkJAQ6uvrOXnyJGFhYbz55pu4uLiQk5OD2WxWeWIhhJrkCo0Qok3q3bs3a9asYdGiRSiKgrW1NYmJidjZ2bFw4ULWrVtHQkICNjY2+Pn5UVJSovbIQggVyU3BQgghhNA8eclJCCGEEJonC40QQgghNE8WGiGEEEJoniw0QgghhNA8WWiEEEIIoXmy0AghhBBC82ShEUIIIYTmyUIjhBBCCM37F67g64HXVAjmAAAAAElFTkSuQmCC", + "text/plain": [ + "<Figure size 576x576 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# This function plots the global sales by year\n", + "sns.lmplot(height=8, x=\"Year\", y=\"Global_Sales\", data=df).set_xticklabels(rotation=45)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "<Figure size 864x864 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# This function plots four different lines to show sales from different regions.\n", + "# The global sales plot line is commendted-out, but can be included for comparison\n", + "df2 = df.groupby('Year').sum()\n", + "years = range(1980,2019)\n", + "\n", + "a = df2['NA_Sales']\n", + "b = df2['EU_Sales']\n", + "c = df2['JP_Sales']\n", + "d = df2['Other_Sales']\n", + "# e = df2['Global_Sales']\n", + "\n", + "fig, ax = plt.subplots(figsize=(12,12))\n", + "ax.set_ylabel('Region Sales (in Millions)')\n", + "ax.set_xlabel('Year')\n", + "\n", + "ax.plot(years, a, label='NA_Sales')\n", + "ax.plot(years, b, label='EU_Sales')\n", + "ax.plot(years, c, label='JP_Sales')\n", + "ax.plot(years, d, label='Other_Sales')\n", + "# ax.plot(years, e, label='Global_Sales')\n", + "\n", + "ax.legend()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Rank 1\n", + "Name Wii Sports\n", + "Platform Wii\n", + "Year 2006\n", + "Genre Sports\n", + "Publisher Nintendo\n", + "NA_Sales 41.49\n", + "EU_Sales 29.02\n", + "JP_Sales 3.77\n", + "Other_Sales 8.46\n", + "Global_Sales 82.74\n", + "Name: 0, dtype: object" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Find the game with the highest sales in North America\n", + "df.loc[df['NA_Sales'].idxmax()]" + ] + }, + { + "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>Rank</th>\n", + " <th>Year</th>\n", + " <th>NA_Sales</th>\n", + " <th>EU_Sales</th>\n", + " <th>JP_Sales</th>\n", + " <th>Other_Sales</th>\n", + " <th>Global_Sales</th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " <tr>\n", + " <th>count</th>\n", + " <td>1008.000000</td>\n", + " <td>1008.0</td>\n", + " <td>1008.000000</td>\n", + " <td>1008.000000</td>\n", + " <td>1008.000000</td>\n", + " <td>1008.000000</td>\n", + " <td>1008.000000</td>\n", + " </tr>\n", + " <tr>\n", + " <th>mean</th>\n", + " <td>9487.691468</td>\n", + " <td>2006.0</td>\n", + " <td>0.261032</td>\n", + " <td>0.128214</td>\n", + " <td>0.073145</td>\n", + " <td>0.053998</td>\n", + " <td>0.516905</td>\n", + " </tr>\n", + " <tr>\n", + " <th>std</th>\n", + " <td>4834.353906</td>\n", + " <td>0.0</td>\n", + " <td>1.482561</td>\n", + " <td>1.038284</td>\n", + " <td>0.362121</td>\n", + " <td>0.318888</td>\n", + " <td>3.042956</td>\n", + " </tr>\n", + " <tr>\n", + " <th>min</th>\n", + " <td>1.000000</td>\n", + " <td>2006.0</td>\n", + " <td>0.000000</td>\n", + " <td>0.000000</td>\n", + " <td>0.000000</td>\n", + " <td>0.000000</td>\n", + " <td>0.010000</td>\n", + " </tr>\n", + " <tr>\n", + " <th>25%</th>\n", + " <td>5442.000000</td>\n", + " <td>2006.0</td>\n", + " <td>0.000000</td>\n", + " <td>0.000000</td>\n", + " <td>0.000000</td>\n", + " <td>0.000000</td>\n", + " <td>0.040000</td>\n", + " </tr>\n", + " <tr>\n", + " <th>50%</th>\n", + " <td>10191.000000</td>\n", + " <td>2006.0</td>\n", + " <td>0.050000</td>\n", + " <td>0.010000</td>\n", + " <td>0.000000</td>\n", + " <td>0.010000</td>\n", + " <td>0.110000</td>\n", + " </tr>\n", + " <tr>\n", + " <th>75%</th>\n", + " <td>13824.250000</td>\n", + " <td>2006.0</td>\n", + " <td>0.190000</td>\n", + " <td>0.030000</td>\n", + " <td>0.030000</td>\n", + " <td>0.020000</td>\n", + " <td>0.332500</td>\n", + " </tr>\n", + " <tr>\n", + " <th>max</th>\n", + " <td>16571.000000</td>\n", + " <td>2006.0</td>\n", + " <td>41.490000</td>\n", + " <td>29.020000</td>\n", + " <td>6.500000</td>\n", + " <td>8.460000</td>\n", + " <td>82.740000</td>\n", + " </tr>\n", + " </tbody>\n", + "</table>\n", + "</div>" + ], + "text/plain": [ + " Rank Year NA_Sales EU_Sales JP_Sales \\\n", + "count 1008.000000 1008.0 1008.000000 1008.000000 1008.000000 \n", + "mean 9487.691468 2006.0 0.261032 0.128214 0.073145 \n", + "std 4834.353906 0.0 1.482561 1.038284 0.362121 \n", + "min 1.000000 2006.0 0.000000 0.000000 0.000000 \n", + "25% 5442.000000 2006.0 0.000000 0.000000 0.000000 \n", + "50% 10191.000000 2006.0 0.050000 0.010000 0.000000 \n", + "75% 13824.250000 2006.0 0.190000 0.030000 0.030000 \n", + "max 16571.000000 2006.0 41.490000 29.020000 6.500000 \n", + "\n", + " Other_Sales Global_Sales \n", + "count 1008.000000 1008.000000 \n", + "mean 0.053998 0.516905 \n", + "std 0.318888 3.042956 \n", + "min 0.000000 0.010000 \n", + "25% 0.000000 0.040000 \n", + "50% 0.010000 0.110000 \n", + "75% 0.020000 0.332500 \n", + "max 8.460000 82.740000 " + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Explore statistics in the year 2006 (highest selling year)\n", + "df3 = df[(df['Year'] == 2006)]\n", + "df3.describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "<seaborn.axisgrid.FacetGrid at 0x1e2ce6a7fc8>" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "<Figure size 576x576 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the results of the previous dataframe (games from 2006) - we can see the year's results were largely carried by Wii Sports\n", + "sns.catplot(height=8, x=\"Genre\", y=\"Global_Sales\", data=df3, jitter=False).set_xticklabels(rotation=45)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "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>Rank</th>\n", + " <th>Name</th>\n", + " <th>Platform</th>\n", + " <th>Year</th>\n", + " <th>Genre</th>\n", + " <th>Publisher</th>\n", + " <th>NA_Sales</th>\n", + " <th>EU_Sales</th>\n", + " <th>JP_Sales</th>\n", + " <th>Other_Sales</th>\n", + " <th>Global_Sales</th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " <tr>\n", + " <th>0</th>\n", + " <td>1</td>\n", + " <td>Wii Sports</td>\n", + " <td>Wii</td>\n", + " <td>2006.0</td>\n", + " <td>Sports</td>\n", + " <td>Nintendo</td>\n", + " <td>41.49</td>\n", + " <td>29.02</td>\n", + " <td>3.77</td>\n", + " <td>8.46</td>\n", + " <td>82.74</td>\n", + " </tr>\n", + " <tr>\n", + " <th>6</th>\n", + " <td>7</td>\n", + " <td>New Super Mario Bros.</td>\n", + " <td>DS</td>\n", + " <td>2006.0</td>\n", + " <td>Platform</td>\n", + " <td>Nintendo</td>\n", + " <td>11.38</td>\n", + " <td>9.23</td>\n", + " <td>6.50</td>\n", + " <td>2.90</td>\n", + " <td>30.01</td>\n", + " </tr>\n", + " <tr>\n", + " <th>7</th>\n", + " <td>8</td>\n", + " <td>Wii Play</td>\n", + " <td>Wii</td>\n", + " <td>2006.0</td>\n", + " <td>Misc</td>\n", + " <td>Nintendo</td>\n", + " <td>14.03</td>\n", + " <td>9.20</td>\n", + " <td>2.93</td>\n", + " <td>2.85</td>\n", + " <td>29.02</td>\n", + " </tr>\n", + " <tr>\n", + " <th>20</th>\n", + " <td>21</td>\n", + " <td>Pokemon Diamond/Pokemon Pearl</td>\n", + " <td>DS</td>\n", + " <td>2006.0</td>\n", + " <td>Role-Playing</td>\n", + " <td>Nintendo</td>\n", + " <td>6.42</td>\n", + " <td>4.52</td>\n", + " <td>6.04</td>\n", + " <td>1.37</td>\n", + " <td>18.36</td>\n", + " </tr>\n", + " <tr>\n", + " <th>100</th>\n", + " <td>101</td>\n", + " <td>The Legend of Zelda: Twilight Princess</td>\n", + " <td>Wii</td>\n", + " <td>2006.0</td>\n", + " <td>Action</td>\n", + " <td>Nintendo</td>\n", + " <td>3.83</td>\n", + " <td>2.19</td>\n", + " <td>0.60</td>\n", + " <td>0.70</td>\n", + " <td>7.31</td>\n", + " </tr>\n", + " </tbody>\n", + "</table>\n", + "</div>" + ], + "text/plain": [ + " Rank Name Platform Year \\\n", + "0 1 Wii Sports Wii 2006.0 \n", + "6 7 New Super Mario Bros. DS 2006.0 \n", + "7 8 Wii Play Wii 2006.0 \n", + "20 21 Pokemon Diamond/Pokemon Pearl DS 2006.0 \n", + "100 101 The Legend of Zelda: Twilight Princess Wii 2006.0 \n", + "\n", + " Genre Publisher NA_Sales EU_Sales JP_Sales Other_Sales \\\n", + "0 Sports Nintendo 41.49 29.02 3.77 8.46 \n", + "6 Platform Nintendo 11.38 9.23 6.50 2.90 \n", + "7 Misc Nintendo 14.03 9.20 2.93 2.85 \n", + "20 Role-Playing Nintendo 6.42 4.52 6.04 1.37 \n", + "100 Action Nintendo 3.83 2.19 0.60 0.70 \n", + "\n", + " Global_Sales \n", + "0 82.74 \n", + "6 30.01 \n", + "7 29.02 \n", + "20 18.36 \n", + "100 7.31 " + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# We can see 4 outliers in the graph above (df6), so let's get the top 5 games from that dataframe\n", + "# The results below show that Nintendo had all top 5 games (3 on the Wii and 2 on the DS)\n", + "df3.sort_values(by=['Global_Sales'], ascending=False).head(5)" + ] + } + ], + "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": "3.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} |