From a33a364ee62bac04d427d5623bbe4807d878a168 Mon Sep 17 00:00:00 2001 From: Paola Date: Mon, 29 Nov 2021 19:03:47 -0600 Subject: [PATCH] Laboratorio terminado --- .../challenge-1-checkpoint.ipynb | 630 ++++++++++ .../challenge-2-checkpoint.ipynb | 421 +++++++ .../challenge-3-checkpoint.ipynb | 1114 +++++++++++++++++ your-code/challenge-1.ipynb | 437 ++++++- your-code/challenge-2.ipynb | 305 ++++- your-code/challenge-3.ipynb | 812 +++++++++++- 6 files changed, 3614 insertions(+), 105 deletions(-) create mode 100644 your-code/.ipynb_checkpoints/challenge-1-checkpoint.ipynb create mode 100644 your-code/.ipynb_checkpoints/challenge-2-checkpoint.ipynb create mode 100644 your-code/.ipynb_checkpoints/challenge-3-checkpoint.ipynb diff --git a/your-code/.ipynb_checkpoints/challenge-1-checkpoint.ipynb b/your-code/.ipynb_checkpoints/challenge-1-checkpoint.ipynb new file mode 100644 index 0000000..cc200ab --- /dev/null +++ b/your-code/.ipynb_checkpoints/challenge-1-checkpoint.ipynb @@ -0,0 +1,630 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Before you start :\n", + " - These exercises are related to the Exploratory data analysis using matplotlib and seaborn.\n", + " - Keep in mind that you need to use some of the functions you learned in the previous lessons.\n", + " - The datasets for Challenge 2 and 3 are provided in the `your-code` folder of this lab.\n", + " - Elaborate your codes and outputs as much as you can.\n", + " - Try your best to answer the questions and complete the tasks and most importantly enjoy the process!!!" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Challenge 1" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Import all the libraries that are necessary." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "# import libraries here\n", + "import numpy as np\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "\n", + "import seaborn as sns\n", + "%matplotlib inline\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Define data." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "x = np.arange(0,100)\n", + "y = x*2\n", + "z = x**2" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Plot (x,y) and (x,z) on the axes.\n", + "\n", + "#### There are 2 ways of doing this. Do in both ways.\n", + "\n", + "*Hint: Check out the `nrows`, `ncols`, and `index` arguments of [subplots](https://matplotlib.org/api/_as_gen/matplotlib.pyplot.subplot.html)*\n", + "\n", + "#### Also, play around with the linewidth and style. Use the ones you're most happy with." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(1,2)\n", + "ax[0].plot(x,y, linewidth=3, c='yellow')\n", + "ax[1].plot(x,z, linewidth=3, c='yellow')" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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Mbtf9M9vF6D7/wbNyrlH/tB0Gkn4ZeCkiHu9ifZqKiA0RsSoiVi1ZsiSvjzXrKbfr/hm2i9E1M9bBay8APijp/cAbgJOArwCLJI2lb//Lgcm0/yRwOrBH0hhwMvDjTHlV9jVmZj1RXVdQbzrpoF6Mrpm2zwwi4uqIWB4RK6gMAD8UER8Fvgv8atptHXBPerw5PSdtfygiIpVflmYbnQmsBL7Xbr3MzGYzrBeja6aTM4NGfg+4XdKXgAlgYyrfCNwqaRewl0qAEBHbJd0JPAUcBq6MiMYXBzEz68AwX4yuma6EQUQ8DDycHj9DndlAEfEa8KEGr/8y8OVu1MXMrJlr790+tBeja8YrkM1saDRbaQyDfzG6ZhwGZjY0mq00HoaL0TXjMDCzodFsKukwXIyuGYeBmQ2FZpeoHqaVxo04DMxs4M02lXSYVho34jAws4HmqaStcRiY2UAb5vsaz4XDwMwG2jDf13guHAZmNrCG/b7Gc+EwMLOBNNug8bBPJa3lMDCzgeNB47lzGJjZwPH1h+bOYWBmA8XXH2qPw8DMBsq1925vuM2Dxo05DMxsYMx2VuBB48YcBmY2EKqzhxrx9YeacxiYWenNNnsIfP2h2TgMzKz0ZrvkhM8KZucwMLPSm+2SEz4rmJ3DwMxKzZec6A6HgZmVli850T0OAzMrJV9yorscBmZWSr7kRHc5DMysdHzJie5zGJhZ6fiSE93nMDCzUvElJ3rDYWBmpeFLTvTOWL8rYGbWis+Nb+Obj/yw7jTSKi8ua5/PDMys8MYnJmcNAp8VdMZhYGaF1mxhWZUvOdE5h4GZFVYrVyP17KHuaDsMJJ0u6buSnpK0XdJnUvkpkh6Q9HT6uTiVS9KNknZJelLSOZn3Wpf2f1rSus7/WmY2CGZbWOZLTnRPJ2cGh4Hfjoh3AOcDV0p6B3AV8GBErAQeTM8BLgZWpj/rgZugEh7ANcB5wLnANdUAMbPhNdsUUgEfPf8MB0GXtB0GEfF8RHw/Pf57YAewDLgE2JR22wSsTY8vAW6JikeARZLeDFwEPBAReyNiH/AAsKbdepnZYJhtYdkNH34XX1p7do41GmxdGTOQtAJ4N/AosDQink+bXgCWpsfLgN2Zl+1JZY3KzWxIeWFZ/joOA0lvBP4r8NmI+El2W0QENJ0EMNfPWi9pq6StU1NT3Xpbs75yu57OC8v6o6MwkDSPShB8MyLuTsUvpu4f0s+XUvkkcHrm5ctTWaPyGSJiQ0SsiohVS5Ys6aTqZoXhdn3c58a38Vt3POF7GfdBJ7OJBGwEdkTEH2c2bQaqM4LWAfdkyi9Ps4rOB15O3UlbgAslLU4DxxemMjMbIl5Y1l+dXI7iAuDjwDZJT6Sy3weuA+6UdAXwHHBp2nYf8H5gF/Aq8AmAiNgr6YvAY2m/L0TE3g7qZWYl44Vl/dd2GETE/4aGtx5dXWf/AK5s8F43Aze3WxczKy8vLCsGr0A2s77ywrJicBiYWd98bnybF5YVhC9hbWZ9UR0wbmRU8hlBjnxmYGa5a2XA2EGQL58ZmFmuWrlJjaeQ5s9nBmaWm1bWEggvLOsHh4GZ5aKVriEPGPePu4nMrOda6RrygHF/+czAzHqq1a4hB0F/OQzMrKeuvXe7u4ZKwN1EZtYT4xOTfH7zdvYfaLyozF1DxeEwMLOua2WMwF1DxeJuIjPrqlbGCMBdQ0XjMDCzrmll+ihUFpX5/sXF4m4iM+uKVrqGwPclKCqHgZl17HPj2/izJhedq1q8cB7X/Iuz3D1UQA4DM2tbKzOG4Pj0UXcNFZfDwMza0mq3kKePloPDwMzmpNWzAfD00TJxGJhZy1o9G6jy9NHycBiYWUtaHSQGjxGUkcPAzJqaS7cQeMZQWTkMzKyhuXQL+Wyg3BwGZjaDzwaGj8PAzKaZ6yDxx3w2MBAcBmZ2jAeJh5fDwGzIzbVLCNwtNIgcBmZDqp0Q8NnA4HIYmA2Z8YlJrr77SQ4cOjqn1/lsYLA5DMyGQDtnAVkeJB58DgMrpIjg4OGjvH7kKAcPHeXg4SO8np6/fvhoZdvh6uMjHJxRlnlNdtuR4695z9uW8PGfW9Hvv2pPdHrwr3K30PBwGNgxEcGhIzHtgFl7cK094B7/eaTOAXfma6Yd3Ose2I/v1w1jI2L+2Ajzx0ZYkH7OHx1hwdgoP3ntcFc+o9/GJya5fstOJvcfQNDylNDZuFtouBQmDCStAb4CjAJfi4jr+lyl3Bw5GtMOvgdrDooHD00/0M48SM/8ptzo23DtQXzagfzIUaILRxKJdMAdYcG80WOPswfkE+aPsnhs/rED9fzRERbMG2H+6Oi0/RZkD+JjlYP4tIN6ev9j+84bYUF6j/ljI4yOqPO/UJ/N5WDfjSBwCAynQoSBpFHgvwDvA/YAj0naHBFP9eozs90Qs3UtZL/d1jvAHjw0s/ui0Wtq93/98FEOH+3Od7nsQbH22/CCscpBc+HCsRnl0w7U0w6sozPec8HYaN2DdPXAvGBshLERIZX/IFwElcHebRw4dATo3rf+ejwuMNwKEQbAucCuiHgGQNLtwCXAnMJg+49e5j/ev/P4t+DMAbfeN+5uGB1R5lvt8Z/zMwfZN71hbMZBOftNtvbb8PGD7WidA+7xA/K0zxsdYWQAvgXbdNdv2XksCHrFZwIGxQmDZcDuzPM9wHm1O0laD6wHOOOMM2a8ydGjsP/V1491Q5w8Oq9yQJ13/Btvo2+3jQ7WtftnD9TzRsXY6EiPfiU2LJq16x/tP9CTz3QAWK2ihEFLImIDsAFg1apVM86Yz15+Mvd86udzr5dZJ5q167csOoHJLgWCA8CaKUoYTAKnZ54vT2VmQ+13Lnr7tDGDufDB3+aiKGHwGLBS0plUQuAy4Nf6WyWz/qseyFuZTeSDv3WiEGEQEYclfQrYQmVq6c0Rsb3P1TIrhLXvXuYDvPVcIcIAICLuA+7rdz3MzIaRp8KYmZnDwMzMHAZmZobDwMzMAEU3rkzWB5KmgOfqbDoN+Lucq9OI61JfGeryUxGxJO/KNGnXUI7fWz+4LvXVq0vDdl3aMGhE0taIWNXveoDr0ojr0p4i1dV1qa/MdXE3kZmZOQzMzGwww2BDvyuQ4brU57q0p0h1dV3qK21dBm7MwMzM5m4QzwzMzGyOHAZmZuYwMDOzAl21tF2SfobK/ZKr1/idBDZHxI7+1cqsc27blqdSnxlI+j3gdkDA99IfAbdJuirnuqzJPD5Z0kZJT0r6c0lLc67LyZKuk/QDSXsl/VjSjlS2KOe6FOb3UiZu2w3r4rbdI6WeTSTpr4GzIuJQTfl8YHtErMyxLt+PiHPS468BLwB/CvwK8J6IWJtjXbYADwGbIuKFVPaPgXXA6oi4MMe6FOb3kqnTUjLftiPixbzrMBu37YZ1cdtuXqf223ZElPYP8AMq19qoLf8pYGfOdfl+5vETNdueyLkuDf/uQ/57eRfwCLAD+B/pzw9S2Tl51qWFurpt16+L23b9unTctss+ZvBZ4EFJTwO7U9kZwFuBT+Vcl38k6d9TOZU/SZIi/SuRf3fcc5J+l8q3pxfh2DeGX+f47ykvRfq9fAP4NxHxaLZQ0vnA14F35lyfZj6L23Y9btv1fYMO23apwyAi7pf0NuBcpg+yPRYRR3Kuzp8Cb0qPN1G5YuBUOoV9Iue6fBi4Cvif6T9KAC8Cm4FLc65LkX4vJ9b+ZwGIiEcknZhzXZpy227Ibbu+jtt2qccMiibN/lgGPBoR/5ApXxMR9/exXv+MykFlW0R8J+fP/k3gv0VE3t/a6tXlRuCngVs4/i3ydOBy4NmIyPsbd2m4bdf97IFq2w6DLpH0aSqn7zuo9N99JiLuSduODTTlVJfvRcS56fFvAFcC48CFwL0RcV2OdXkZeAX4G+A24C8iYiqvz69Tn4upP13zvn7VqejcthvWZbDadp6DHIP8B9gGvDE9XgFspfKfBmAi57pMZB4/BixJj0+k8g0q17pQ6T+9ENgITAH3U5n98aZ+/7v5T0v/hm7bDeoySG271OsMCmYk0ulzRPwt8AvAxZL+mMoAU651kbRY0qlUzv6mUr1eAQ7nXJeIiKMR8Z2IuAJ4C/BVYA3wTJ4VycxR39HvOeol47Zd30C1bYdB97wo6V3VJ+k/zy9TGVQ6O+e6nAw8TuUb3CmS3gwg6Y3k/5932udFxKGI2BwRH6EyTTJPdwL7gF+MiFMi4lTgF4H9aZvV57Zd30C1bY8ZdImk5cDhSAtharZdEBH/pw/Vqq3HQmBpRDyb42e+LSL+Oq/Pa0bSzoh4+1y3DTu37YafOVBt22FgQ0PSd6gsxqk3R/19EfFLfayeWdu60bbdTWTD5MPAqVTmqO+VtBd4GDgF+FA/K2bWoY7bts8MzABJn4iIr/e7Hmbd1mrbdhiYAZJ+GBFn9LseZt3Watsu9eUozOZC0pONNgGlu+SwWVU32rbDwIbJUuAiKlPwsgT8Zf7VMeuajtu2w8CGybeorKR9onaDpIdzr41Z93Tctj1mYGZmnlpqZmYOAzMzw2FgZmY4DMzMDPj/j7C5fDHihKoAAAAASUVORK5CYII=\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(nrows=1, ncols=2, sharey=True)\n", + "ax[0].title.set_text('Max')\n", + "plt.xticks(rotation=90)\n", + "ax[0].plot(x, y)\n", + "plt.setp(ax[0].xaxis.get_majorticklabels(), rotation=90)\n", + "\n", + "ax[1].title.set_text('May')\n", + "ax[1].scatter(x, z)\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# your code here-1st way (call `subplots` twice using the `index` parameter)\n", + "plt.style.use('ggplot')\n", + "plt.figure(figsize=(20, 20))\n", + "fig, ax = plt.subplots(nrows=2)\n", + "\n", + "ax[0].title.set_text('Max')\n", + "ax[0].set_xticklabels([])\n", + "ax[0].plot(x, y)\n", + "\n", + "ax[1].title.set_text('May')\n", + "ax[1].scatter(x, z)\n", + "plt.xticks(rotation=90);\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "# your code here-2st way (call `subplots` only once not using the `index` parameter)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Augmenting your previous code, resize your previous plot.\n", + "\n", + "*Hint: Add the `figsize` argument in `plt.subplots()`*" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(1,2, figsize=(10, 10))\n", + "#plt.figure(figsize=(60, 40))\n", + "ax[0].plot(x,y, linewidth=3, c='yellow')\n", + "ax[1].plot(x,z, linewidth=3, c='yellow');" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Augmenting your previous code, label your axes.\n", + "\n", + "*Hint: call `set_xlabel` and `set_ylabel`*" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(1,2, figsize=(10, 10))\n", + "#plt.figure(figsize=(20, 0))\n", + "ax[0].set_xlabel(['set_xlabel'])\n", + "ax[0].set_ylabel(['set_ylabel'])\n", + "ax[0].plot(x,y, linewidth=3, c='yellow')\n", + "\n", + "ax[1].set_xlabel(['set_xlabel'])\n", + "#ax[1].set_ylabel(['set_ylabel'])\n", + "ax[1].plot(x,z, linewidth=3, c='yellow');" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Plot both `y=x^2` and `y=exp(x)` in the same plot using normal and logarithmic scale.\n", + "\n", + "*Hint: Use `set_xscale` and `set_yscale`*" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# your code here\n", + "w=np.exp(x)\n", + "\n", + "plt.plot(x,z)\n", + "plt.plot(x,w, c='blue')\n", + "plt.yscale('log')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### In the vehicles data set that you have downloaded, use the vehicles.csv file. In this exercise we will conduct some exploratory data analysis using one plot each of scatter plot, box plot, histogram, and bar chart. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Scatter Plot\n", + "\n", + "Please provide a scatter plot between \"Combined MPG\" as X variable and \n", + "\"Highway MPG\" as Y variable" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "# your code here\n", + "vehicles = pd.read_csv('vehicles.csv')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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\n", + "
" + ], + "text/plain": [ + " Combined MPG Highway MPG\n", + "0 17 17\n", + "1 13 13\n", + "2 16 17\n", + "3 13 13\n", + "4 16 21\n", + "... ... ...\n", + "35947 36 38\n", + "35948 36 38\n", + "35949 36 38\n", + "35950 36 39\n", + "35951 35 39\n", + "\n", + "[35952 rows x 2 columns]" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "grupo = vehicles[['Combined MPG', 'Highway MPG']]\n", + "grupo" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "x = grupo['Combined MPG']\n", + "y = grupo ['Highway MPG']\n", + "plt.scatter(x, y);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Box Whisker Plot\n", + "\n", + "Please provide a box plot of the variable \"CO2 Emission Grams/mile\"" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# your code here\n", + "x = vehicles['CO2 Emission Grams/Mile']\n", + "plt.boxplot(x);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Histogram\n", + "\n", + "Please provide a histogram of the Fuel Barrels/Year" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# your code here\n", + "vehicles['Fuel Barrels/Year'].hist(bins=50); #" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Bar Chart\n", + "\n", + "Please provide a bar chart of the Fuel Type on the X axis and \"City MPG\" on the Y axis" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "# your code here\n", + "x = vehicles['Fuel Type']\n", + "y = vehicles ['City MPG']" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12],\n", + " [Text(0, 0, ''),\n", + " Text(0, 0, ''),\n", + " Text(0, 0, ''),\n", + " Text(0, 0, ''),\n", + " Text(0, 0, ''),\n", + " Text(0, 0, ''),\n", + " Text(0, 0, ''),\n", + " Text(0, 0, ''),\n", + " Text(0, 0, ''),\n", + " Text(0, 0, ''),\n", + " Text(0, 0, ''),\n", + " Text(0, 0, ''),\n", + " Text(0, 0, '')])" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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RWlqKWbNmYcKECRg3bhyio6Nx/PhxcRkhIYQQ42qygM+dO7fRxxcvXsw6F0IIITqgnZiEEMIpKuCEEMIpKuCEEMIpKuCEEMIpKuCEEMIpKuCEEMIpKuCEEMIpKuCEEMIpKuCEEMIpKuCEEMIpKuCEEMIpKuCEEMIpKuCEEMIpKuCEEMIpKuCEEMIpKuCEEMIpKuCEEMIpKuCEEMIpKuCEEMIpKuCEEMIpKuCEEMIpKuCEEMIpKuCEEMIpKuCEEMIpKuCEEMIpKuCEEMIpa0N++LfffsPOnTuhUqkQGBiIcePGMUqLEEJIU/S+AlepVNi+fTsWLlyI6OhoJCcnIyMjg2VuhBBCHkPvAv7nn3+ibdu2cHd3h7W1NYYOHYrU1FSWuRFCCHkMvQt4QUEBWrduLX7eunVrFBQUMEmKEEJI02SCIAj6/GBKSgp+++03zJo1CwCQmJiIP/74AzNmzND4PoVCAYVCAQCIjIw0MF1CCCFqel+Bu7i44P79++Ln9+/fh4uLS4PvCwoKQmRkpNGKd3h4OJexKb7pYlN808bnOXdjxH8cvQt4t27dkJWVhdzcXNTU1OD06dPw9fVlmRshhJDH0HsZoZWVFaZPn46VK1dCpVLB398fnTp1YpkbIYSQxzBoHfjTTz+Np59+mlUuTAQFBXEZm+KbLjbFN218nnM3RvzH0fsmJiGEENOirfSEEMIpKuCEEMIpKuDELKWlpUGlUpk6jScWz+NfWloq+XMolUpkZmZK/jxN4b6Aq1QqnD592tRp6KysrOyx/7EQFhaGn3/+mVk8tTt37ogf19TU4N///jdWr16N3bt3o6qqislznD59Gh999BF27dqFv/76i0lMwDi5A8CuXbtQUVGBmpoafPrpp5gxYwYSExOZxZeaVONf37Vr13DixAkAQElJCXJzc5nE/cc//oH169fj/PnzkOIWX1paGkJDQ7Fy5UoAwO3bt7F69Wrmz6MNi7iJGR4eLtlGofLyciQkJCAvLw+1tbXi49OnTzco7uzZsyGTyRp9gclkMmzatMmg+ACQnZ2NEydO4PTp0+jWrRv8/PzQv39/yGQyg+KGhYWJL9ivv/4apaWl8Pf3x9mzZ1FWVoY5c+YYnDsAVFRUIDk5GSdPngQA+Pv747nnnkPz5s31jmms3ENDQxEVFYWzZ8/i3LlzmDJlCpYsWYKoqCiD4qpUKiiVStjZ2QEAbty4gZqaGgBA165dDRqbh0kx/mr79u1Deno6srKy8Nlnn6GgoADR0dFYvny5wbEFQcClS5dw/PhxpKenY8iQIfDz80P79u0Njg3UvYaWLFmCpUuXYs2aNQCA+fPnY926dUzi68KgZYTmom/fvjh48CCGDh0qvrABoGXLlgbHjoiIQI8ePeDh4WFw4atv8+bNzGI9Stu2bfHGG2/g9ddfx/nz5/H5559DLpfD398fwcHBeo9P/T86ly5dQkREBKytrdG7d2+EhoaySh/29vYYPHgwlEolfvrpJ5w9exYHDx7EmDFjMGbMGL1iGit39fTD+fPnMWTIENjb2zOJu2vXLjg6OuKVV14BAHz22Wfo1KkTqqur0bVrV0yaNInJ8wDSjL/a2bNnsWbNGoSFhQGo29ldWVnJIm3IZDL069cP/fr1w+XLlxETE4NffvkFnTt3xsSJE/HUU08ZFN/a2rrBvyfL2qBTLiZ5VsbUUyjx8fHiY6yuYqurqzFlyhSD4zyKIAg4deoUcnNz8dprryE/Px9FRUXo3r07k/h37tzBiRMncOHCBTz77LMYPnw4rl27hmXLlul9NVhRUYGzZ89CpVKhpqYG1tZ1LyOZTMbshZyamoqTJ08iOzsbI0eOxKpVq+Do6IiqqiqEhIToXUCMkTtQt0di7ty5sLGxwdtvv42SkhI0a9bM4LiXL19GRESE+HmLFi0QHh4OQRCwePFig+OrSTX+atbW1hpj/uDBAxZpA6ibAz916hQSExPh6OiI6dOnw9fXF7dv38b69esNvnjq2LEjkpKSoFKpkJWVhSNHjhj8R0FfFlHApbyaHT58OBQKBQYOHKjxC8ji6h4Atm3bBplMhitXruC1116DnZ0dtm/frvFLqq+wsDC0aNECAQEBmDhxoph/jx49cP36db3jenl5IS0tTYxVVFQEJycnFBUVwcHBweC8AeDXX3/Fiy++CC8vL43HbW1txQZq+jBG7gAwceJEvPLKK7C3t4dcLoetrS0WLFhgcFxBEGBlZaXxPEDdHyCWRVCq8VcbMmQItmzZgvLycigUCpw4cQKBgYEGxwWATz75BMOHD0doaKhGx9Ru3brh+eefNzj+9OnT8cMPP6BZs2b47LPP0L9/f7z66qsGx9WHRcyBA8Ddu3eRkZGB6upq8bGRI0caHPfnn3/Gnj170KJFC/ExVlf3wP/mZBcsWCDOp6nnTw2Vk5MDd3d3jcdyc3PRpk0bg2NLbdeuXQ2mAxp7zJxJ8ZqcN28eVq1a1WAeuqKiAgsXLsSGDRsMiq9mjPG/ePEi/vOf/0AQBPj4+KBfv35M4p4+fRpDhw7VeOzMmTMYMmQIk/jmxCKuwPft24erV68iIyMDAwYMwIULF9CrVy8mBfzw4cPYuHEjWrVqxSDThqysrKBSqcS3kiUlJczeyq9fv77B3fF169YZfMe8pqYGycnJcHZ2Rr9+/ZCUlITr16+jQ4cOCAoKEqclDHHp0qUGj/32228GFxBj5A5I95oMDAzEhg0bMHPmTLi6ugIA8vLysG3bNgQEBLBIHYB041+fep6atQMHDjQo4HFxccwKeGZmJg4dOtRgYcOSJUuYxNeFRRTwlJQUREVFISwsDO+//z6KiooQExPDJHbbtm1ha2vLJFZjxowZg6ioKBQXF+O7775DSkoK/u///s+gmH/99Rfu3buHiooK/Prrr+LjlZWVGleD+oqNjUVtbS2qqqqQkJCABw8e4Nlnn8WlS5fw559/GrSS45dffkF8fDxycnLw8ccfa+Tes2dPs869Pqlek2PHjoWNjQ0WLVqEqqoqCIKA5s2bY9y4cRg1apTB8aUe/8mTJz/2AuWrr77SO/aFCxdw4cIFFBQUYMeOHeLjlZWVkMvZrZiOjo7G888/j8DAQKZx9WERBdzGxgZyuRxyuRwVFRVwdHTU6FVuCPXcpbe3t8bVmaHLCNWGDx8OT09P8YonNDQUHTt2NChmZmYmzp8/j/Lycpw7d0583M7ODu+++65BsYG6qYG1a9eitrYWs2bNwhdffAG5XC7OOxpi2LBh8PHxwe7du8X5XQBo3rw5k/sOUuZen5SvyVGjRmHUqFHiqg2WSwelHv+vv/4aALBnzx44OztjxIgREAQBSUlJKCwsNCi2s7MzPD09kZaWBk9PT/Hx5s2bM12IIJfLmfyxZMEiCni3bt1QXl6OwMBAhIeHw87Ojtld4UGDBmHQoEFMYjUmOzsbbdq0wQsvvIArV67g4sWLcHZ21phz15U65xs3bkhyd1wQBNTU1ODBgweoqqpCRUUFWrZsierqao23lPpq06YN3n777QaPl5WVGVxEpM5dTarXZEJCwmO/zmLaUMrxVzt37pzGfZ5Ro0YhNDQUr7/+ut4xu3Tpgi5dumD48OEaN3pZGzhwIOLj4/HMM89IsrBBFxZzE1MtNzcXlZWV6Ny5s6lT0UpoaCgiIyORl5eHiIgI+Pr6IiMjA3//+9/1jnngwAG88sorGm8j6zP03cPhw4fx888/Q6VSYezYsUhLS0ObNm3wxx9/4Nlnn8WECRP0jh0ZGYnw8PBGNzqxuHksZe6PwvI1+ah/07S0NBQUFGDPnj0GxZd6/NU++eQTjB49Gs899xwAIDk5GfHx8VixYoXeMdevX4+QkBDMnz+/0WmatWvX6h27vtmzZzd4jOXY6ILrAn7z5s3Hfr3+2yh9qV/ID2O9CuXAgQOwsbHBmDFjNFak6CMtLQ2+vr7iDrqH+fn56R1bTX2AtYuLC8rLy3Hp0iW4uroyW78uJWPk3thr097eHm5ubsyuDtV7CA4cOICOHTvib3/7GzcXLrm5ufjyyy/F5aw9e/bE1KlTDVohVVhYCGdnZ+Tl5TX6dTc3N71jmyuup1C++eabx36dxV3h+lv0q6urcebMGaa9RaysrJCUlITExERxV5qhb+XVR9uxKNSNuXz5Mvr06QPgf8sSBw8eDKBu/fCzzz5r8HOcPXsWffr0EXe8lZeX48qVK3jmmWcMimuM3AFg+/btuHnzJjp37gxBEHDv3j106tQJFRUVePvtt9G/f3+9Y9fW1uLkyZM4dOgQevTogfnz5zPbJq4m1firtWnThsm6+PqcnZ0B1P1hc3Jygo2NDYC6xlNFRUVMn0uqZcs6E4jOFixYwCzWvXv3hO3btwunTp0SBEEQcnJyhP379zOJ/emnnwplZWXi56WlpcKKFSsMjlv////hsWA1Nh9//HGDx0JDQw2Oa4zcBUEQoqKihLt374qf37t3T1i7dq2QnZ3d6P+bto4cOSJ8+OGHwpYtW4ScnBwWqTZKqvFXq6qqEo4cOSJs3bpV2Lx5s/gfC2FhYUJ1dbX4eXV1tRAeHs4ktiAIwvfffy8sXbpUePvtt4XNmzcLb7/9trB27Vpm8XXB9RW42qNu7LD4i1j/rbAgCEhPT2faZrNjx46YNGkS8vPzAdRdmYwbN45J7JKSEo2boS1btkRxcbHBcYV6s27CQzNwD3/O4jnUWNxkNEbuAJCVlaVxRmzHjh2RmZnZYGOVrnbu3IlWrVrh2rVrje6mZTXPK9X4q23atAnt27fHf/7zH7z66qtISkpChw4dmMSura3VWDFmbW0tNvxiQcply7qyiAKenp4ufqxUKnH58mV07dqVSQGvP00jl8vh5uaGefPmGRxXLS0tDd988w1qamqwefNm3L59G3v37hWnUwwhl8uRn5+vseGDxSah+jEejsdqE5Knpye++uorjB49GkBdnxsW9zSMkTtQV7C3bt0q3qQ7ffo0OnTogOrqaoM2C23YsAHFxcUaW8QB4P79+3BycjIkZQ1Sjb9adnY2QkJCkJaWBj8/PwwbNozZRphWrVqJ94GAur4uLNskSLlEVFcWUcAfXlVRXl7ObEux1Lur9u3bh4iICCxduhRA3VIoVn2R33jjDSxatAheXl4QBAHXrl3DO++8Y3DcnJwcrF69GoIgiB8DdVdtrHKfPn06/v3vf4v/jv369cOMGTMMjmuM3IG6m9/x8fH48ccfAdTdpHvrrbdgZWVl0Gvqq6++wptvvtnghlxlZSW+/PJLhIeHG5S3mlTjr6a+kduiRQvcvXsXTk5OTN4dAsDMmTMRExOD7du3AwBat27NbIMWIO2yZV1ZRAF/mK2trcG/jImJiRgxYgQOHz7c6NfHjh1rUHw1KVtT+vj4YPXq1fjjjz8AAFOnTmXSEqD+zaeXX37Z4HiNsbOz09hIwooxcgfqrtJeeuklvPTSSw2+Vr/lsa6Ki4vh4eHR4HEPD49Hrr7Qh1TjrxYUFISysjK8/vrrWLNmDR48eGDQGvD62rZti5UrV4rNvQwZ78ao18iPGjUKPj4+Jl22bBEFPDIyUix6giAgIyPD4L4H6tNZWPUofhQpWlP+9ddf6NChgzh/r747n5+fj/z8fIPfCj/coY6lL7/8ElOnTtX4N63P0KklKXM3hvLy8kd+TalUGhxf6vEH6nqlq3d2enl5MVuSa6yLLqBuxdK1a9cgk8nQq1cvKuCGqH8lpZ6nfniOUFfqtpPjx483KE5TpGhNefjwYbz77ruPXGZpiqY72hoxYgQAaa+Oeebp6QmFQoGgoCCNx48dO8ZkjtoY4y+Xy8UDWFgy1kXXtm3bkJ2dLd7fOHr0KC5evNjo7lWpcb2Rxxhyc3Nx5MiRBp3HWFyJSEmlUuHGjRvo1auXqVPRmUqlwqZNm/Dhhx+aOhWzU1RUhLVr18La2los2Onp6aipqUFoaCiTG5nGGP9vv/0WDg4OzE/RUqlU+Omnn5hebT9s7ty5iI6OFt+hqFQqzJ8/H9HR0ZI956NYxBV4Yx3O7O3t4enpicmTJxu0dCsqKgr+/v4YOHAg085jUr9Vlcvl2LFjh0E7Oh9HpVJh165dmDx5MvPYcrkceXl5GifmsCRl7o/691Qz9N/VyckJK1aswOXLl3Hv3j0Adaf/qDcnsSD1+APSnaIll8uRnJwsaQFv27Yt8vPzxRvJ9+/fN3h5qL4sooAHBwejdevWGDZsGARBwOnTp5GdnQ1PT098/vnn4goPfTRr1gzBwcHskv0vY7xV7dOnD1JSUvDss88yP7NPLpcbdKpPU9zd3bFo0SIMHDhQ4wqNxS+mlLkba+qnT58+TIv2w6Qcf0DaU7R69uyJ7du3Y+jQoRqtoFktg6ysrMS8efPE1gvp6enw9PQUVzQZ8925RRTwhzubBQUFITQ0FJMmTcL+/fsNih0cHIx9+/ahf//+Glcjhr4Y1D/v5eWFkpISAGB+aIRCocCPP/4IuVwOGxsbCIIAmUxmUM/l+rp06YLVq1djyJAhGr8oLLaju7u7w93dHYIgiHOaLP8ISZU77zdJ1aQe//p96tXs7e3h4eEBR0dHg2LfuXMHAPD9999rPM7q3g+r1TIsWEQBt7GxwenTp8WeFikpKWIfBEPdvXsXiYmJuHz5ssYUCosXw/fff4/4+HhxZ6dcLseYMWPw2muvGRwb+F/vZalUV1fDwcEBly9f1nicRQHv2LFjg5VEZ86cMTiumpS5A3U7MXfv3t2gX4YpOtbpQ+rxP378OG7cuAFvb28AwNWrV+Hp6Ske7q1+h6qPWbNmNZjSyMnJMSjf+ry8vFBUVCRuIOzevbvBf3T0ZtSN+xLJzs4WIiIihOnTpwvTp08XIiIihKysLKGqqkr4/fffDYo9Z84cjb4KrBw6dEj49NNPNfpZZGdnCytWrBAOHTrE5DmWLVum1WPmqLG+JCx7lUjtk08+ES5evCjMnz9fyM3NFfbu3Svs2bPH1GlpTerxX7FihVBYWCh+XlhYKKxYsUIoLS0VQkJCDIotde7JycnCe++9J8TExAgxMTHC+++/L5w5c4ZZfF1YxBW4u7v7I3egGboKo1OnTigvL2f+FzYxMRGffPKJxrSJu7s7PvjgA6xYscKguUalUgmlUonS0lKNzokVFRViK1UW7t+/jx07dojzyb169cK0adMMWsJprGOxpMi9PqVSib59+0IQBLi5uWHChAkICwszq7ffjTHW+Ofn52usmHF0dER+fj5atmypd7tdqY8SVNu/fz8iIiLEmlBSUoLly5eLMwDGZBEFPDMzE9u2bUNxcTHWrVuHO3fuIC0tzeD11EBd0Zs7dy66d++uMQdu6I2K2traRue8W7VqZXDTIPXcd2FhIcLDw8XGRPb29njhhRcMil1fbGwshg0bhpCQEADAqVOnEBsbi0WLFukd01jHYkmRe33NmjWDSqVCu3bt8PPPP8PFxUXcGWjOjDX+3t7eiIyM1Gjl6+3tjQcPHuh9GpXURwmqqVQqjQu6li1bMm1wpwuLKOBffPEF3nrrLWzZsgUA0LlzZ2zcuJFJAZfihBYAj12eZejSreDgYAQHB+PIkSMYM2aMQbEep6SkBP7+/uLnfn5+Yu8PfamPxXrmmWdgZ2cnXvWpVCqmV1FS5F7f1KlToVQqMW3aNOzduxeXL19u9CQXc2Os8Z8xY4a4mxGo6xyqXi2l7/0lqY8SVPPx8cHKlSs1GpUNGDBAsud7HIso4EqlssFpKqze7nl5eSEvLw9ZWVno168fqqqqmPy1vX37dqNXNIIgMPtFkclkKC8vF69oysrKkJycLHaYM5SDgwMSExMxbNgwAEBSUhKzrm8rV67EokWLxCVsSqUSK1asMOjIrfqkzF2lUuH06dOYPHky7Ozs8P777zOJa0xSj79MJsPgwYMlmXb45Zdf0KFDB43X/ddff83k30EQBIwZMwbp6eniH5+goCBmB13oyiIKuIODA7Kzs8VlTikpKWL/D0MpFAocO3YMZWVliImJQUFBAbZu3YrFixcbFHfv3r1M8nucY8eOaUyZtGzZEseOHWNWwN977z3s2LEDX331FWQyGZ566ilmxUqpVGqsP7azsxO3SrMgZe5Sr5E3BqnGv7FNd/WxWOJ69+7dBn3wb9++bXBcoO4PT0REBNatW8dsxZIhLKKAz5gxA1u2bMFff/2Fd999F23atGG2DTg+Ph4RERFYuHAhAKBdu3bM2l5KTaVSiWu/1Z+zbGzv5uYm2aYFOzs73Lx5U5yHvXnzJrOloYC0uQPSrpE3BqnGX720dc+ePXB2dsaIESMgCAKSkpJQWFhocHyg7iq5rKxM3JZfVlbG9DCKrl274s8//zSL818tooCrd409ePAAgiDA1tYWycnJTA4xbdasmcacdG1tLfNdjVLx8fFBdHS02Jjr6NGj8PHxMW1SWpoyZQqio6Ph7OwMQRBQVFTE9CANqUm9zlxqUo//w5vvRo0ahdDQUCardMaOHYtPPvlEY1/I3/72N4Pjqv3555/4xz/+gTZt2sDW1la8SGJ1GpIuuG5mVVFRgfj4eBQUFGDQoEHo27cv4uPjcejQIXTu3JnJoam7du2Cvb09EhMTMX36dMTHx6Njx4544403GPwfSEulUkGhUODSpUsA6pryBwYGMl0OJqWamhpkZmYCANq3by9ZXw7SOCnH/5NPPsHo0aPFG4HJycmIj49nNseekZEh/vHs06cPOnbsyCQuALM69Z7rAr5mzRq0aNECTz31FC5duoSSkhIIgoBp06ahS5cuTJ5DEAQcO3YMFy9ehCAI6N+/PwIDA7m5ClcqlcjPz2d+arnUqqqqcPjwYeTl5WHWrFnIyspCZmYmBg4caOrUtBIbG9vo47zc0JR6/HNzc/Hll1+K9wp69uyJqVOnok2bNkziX7t2DVlZWfD390dJSQkePHjALDZQN6Wk7gfes2dPpsfN6YLrS5qcnBysW7cOABAYGIh33nkHsbGxzOZKVSoVQkJCsGHDhgb9l3kg5XmbQN3hAgkJCQ1a7T58xJ0+YmNj4enpKZ4m5OLigvXr1zMrIEVFRfjuu+9QWFiIhQsXIiMjAzdu3EBAQACT+E8//bT4cXV1Nc6ePcvsxroxSD3+bdq0YfIOuTH79u1Denq6WMBramoQExOD5cuXM4n/r3/9C2fOnBGnwz7//HMMHjyYybJlXfHxXvoR6r+lk8vlaN26NdMbXXK5HO3btxdPjOeN+rxN9R15ludtAkBERATy8vLg4eEBT09P8T8WcnJy8Morr4i78urfCGQhNjYW/fv3F2+ctWvXjuk6cPUSucGDB2P48OGYN2+eeEISD6Qa/wMHDgAAduzY0eh/LJw9exZhYWFizi4uLkwPeTh16hQiIiIwYcIETJgwAStXrkRiYiKz+Lrg+gq8/lpqQRCgVCoxZcoUpl33ysvLERISgu7du2u8iM39QAdA2vM2gborS5a78+qztraGUqkU883OzmY6B1taWoqhQ4ciLi4OQN0hu1LeG8jOzuZm9RIg3fh36NABALvWro2xtraGTCYTc2e9A9bFxQXV1dXixWJ1dTVcXFyYPoe2uC7gxlhLbe69Kx5HivM26xs+fDgUCgUGDhyIZs2aiY8beqoKAPHKJj8/Hxs3bsT169eZzh/b2tqitLRU/CW/ceNGgz92hnh4vbOTk5OkhwSzJtX4+/r6Aqjb+SqVIUOGYMuWLSgvL4dCocCJEycQGBjILH7z5s0REhKCfv36QSaT4eLFi+jevbv4DoLFFKK2uL6JKSWlUomjR48iOzsbHh4eCAgI0LvJjqlUVVXhhx9+0LgB++qrrzKbZvr555+xZ88ejU0TLE5VUSstLcUff/wBQRDQo0cPpv3Sb968iZ07d+Lu3bvw8PBASUkJQkJCTHY4rTmSYvzVhx48Cqt3thcvXsR//vMfCIIAHx8f9OvXj0lcADh58uRjvy7lH6eHUQF/hOjoaFhZWaF37964cOEC3NzcMG3aNFOnZVbmzJmDVatWMS+sj8PyrXdtbS0yMzMhCALzZXKffvppg926jT1mbqQe/xkzZsDV1RXPPfdcoxthLOVADGPhegpFShkZGeIKl4CAAHEnJg+kPpdRrW3btsxvLn7zzTeP/TqrU1WAug0Z6hU0t27dAlDXVMkQxmrlKxWpx3/r1q24ePEikpKSkJSUhKeffhrPPfccOnXqZFBc4NHb9FneEzM3VMAfof7VGG9TJ8Y6l9HW1hYLFiyAt7e3xngZMgfIskA/TkxMDHJyctClSxeNm5eGFnBjtfKVitTjL5fL4ePjAx8fH1RXVyM5ORlLly7F+PHjDR4fqU+gMkc0hfIIr7/+utjMR73Cpf62WXP+a15RUfHIG3L5+flwdXVl8jyPmgs0ZA7wwIEDeOWVVwDUHeFV/1iv3bt3480339Q7dn3z5s3D+vXrJduQJXUrX6kYY/yrq6tx/vx5JCcnIy8vDwMHDkRAQIDBKzkuX74sHvScm5ursXHn119/ZdLGQKVSYdeuXZg8ebLBsZiQ+MQfYgL1j496+Ag1cz+WrH5+D+fKMvd169YJBQUFzOI15s6dO0JycrJw8uRJ8T9zJ/X4x8TECAsWLBC+++474c6dOwbHq89Yr52FCxcyi2UomkKxQEK9N1X152Ef/pqhZs+e3egVrCGrUOrn93CuLHMvLS0V1/ezPGlJbd++fbh69SoyMjIwYMAAXLhwAb169TJ4ikZqUo//qVOnYGtrKy5rrR/b0He2xnrtmFOnSSrgFqh+UX24wLKcMoiMjBQ/rq6uxpkzZxr8wdCVsXIfP348s1iNSUlJQVRUFMLCwvD++++jqKgIMTExkj4nC1KPv5R7N4z12jGnTpNUwC1QcXExDh8+DEEQxI+BuquQkpISZs/z8Ak2L774osEH96p31wr1dtYCbE8qAqRfrmZjYwO5XA65XI6Kigo4Ojri/v37kj4nC8Yafynk5ORg9erVEARB/Bioy51lCwlzakhGBdwCBQYGir0f6n8MgFmzJkBzzbAgCEhPTzf4uDmpd9cuWrQIy5cvb7DkjMVb+Pq6deuG8vJyBAYGIjw8HHZ2dpKe08iKMXY3S6V+cywpV2Ldv38fO3bsEDsp9urVC9OmTUPr1q0le85HoVUoRG/Lli0TP5bL5XBzc8PLL7/MXetaqeXm5qKyspJ2eVqI5cuXY9iwYRgxYgSAunn9U6dOYdGiRUbPha7Aid6MtWabpabm6Fn0cVErKCjQaLV79epV2mloAUpKSuDv7y9+7ufnx7STpS6ogBOdJSYmYsSIEeLc+sPGjh1r5Iy0FxYWBplM1uiqBJZ9XHbt2oUzZ86gY8eO4lSNTCajAm4BHBwckJiYiGHDhgEAkpKSGtwPMhYq4ERn6tPJWfZYrk+lUmH58uWSXOFv3ryZeczGpKamYsOGDRpdGnkh5fhbgvfeew87duzAV199BZlMhqeeespkNzapgFugR10Zqxl6haw+JFmqpXhyuRwymeyxO0pZSEtLw9WrVwEA3t7eTI9rc3d3R21tLZcF3Fjjz5qxegC5ubmZzXkAVMAtkPrKODMzE+np6WIP5nPnzqFbt27Mnic3NxdHjhxpcKQaixe3nZ0d5s+fj379+mlslmDVa/nbb79Fenq6+Db4p59+wvXr15lt1bexsUFoaCj69u3LrE+MMUk9/lJQrzz59ddfUVRUhOHDhwOoOzDZ0dHRlKlJhgq4BVJfGS9ZsgSrV69G8+bNxcfrb74xVFRUFPz9/TFw4EDmp9k888wzeOaZZ5jGrO/ChQtYs2aNmLefnx8WLFjArID7+vqKfzh5JPX4S0F9f+Hrr7/WeJ37+voiPDzcVGlJigq4BSsqKtK4+rO2tkZRURGz+M2aNUNwcDCzePX5+fmhpqYGmZmZAMC8XzdQ1/RLveqkoqKCaWxjNvWXgjHGXypVVVXIycmBu7s7gLp3iur7NpaG1oFbsB9++AFnzpzBoEGDANTdWBsyZAj+9re/MYmflJSErKws9O/fX+OXm8WhC1euXMHmzZvh5uYGoK6L4uzZs5mt4khKSsLu3bvh7e0NQRDw+++/Y+LEiRg6dCiT+LyTevyl9Ntvv+GLL76Au7s7BEFAfn4+Zs6cCR8fHybxi4qK8N1336GwsBALFy5ERkYGbty4wXSTnLaogFu4mzdv4tq1awCA3r17o2vXrsxi7969G4mJiXB3d9eYQmGxeiEsLAwfffSRuCkoMzMTn332WZNHcumisLAQ6enpAIDu3bvDycmJWWzeGWP8pVRdXY2//voLQN1ByixvJq9atQp+fn7Yv38/oqKiUFtbiwULFogHwBgTH++JiN66dOkCJycncYs7y37gZ86cwaZNmyR5a11bW6uxo7N9+/YaN0oNde3aNXTp0gW+vr5ITEzEgQMHEBwcLF5xGsLsekbrQerxl9rNmzfFm+t37twBYPhhHWqlpaUYOnQo4uLiANQd+ML6HpC2qIBbsCNHjuBf//oXHB0dIZfLxX4fa9euZRK/U6dOKC8vl+QOv6enJ/75z3+KKwlOnTrF9DzMbdu2ISoqCrdv38aPP/4If39/bNq0SaM9gL7kcrnYJ4NXUo+/lKQ6bUnN1tYWpaWl4pLFGzdumGy5JRVwC/bTTz9hw4YNku0Sq6iowNy5cyXpqT1z5kzEx8eLPaN79eqF0aNHGxxXzcrKCjKZDGlpaRg9ejQCAgJw4sQJZvHNqWe0PqQefyndvHlT0tOWJk+ejDVr1iA7OxuLFi1CSUkJQkJCJHmuplABt2Curq6SXhlMmDBBstjNmjXD2LFjJduWb2dnh/379+PUqVNYtmwZVCoVampqmMU3p57R+pB6/KXUqVMnFBUVwdnZWZL4np6eWLp0KTIzMyEIgklX6NBNTAv2+eefIzMzE08//bTGTRyWv5R5eXnIyspCv379UFVVBZVKJa47N2dFRUVISkpCt27d0Lt3b+Tn5+PKlStmf2IOadqyZctw+/ZtyU5bAoDr16832MBmitcOFXALtm/fvkYfZ7UFXqFQ4NixYygrK0NMTAyysrKwdetWLF68mEl8nplTz+gnjbo9wsNYLYF81By7KXap0hSKBZP62LD4+HhERERg4cKFAIB27dqhuLiY+fOoVCo8ePCA6XTQjRs3sHPnTmRkZKCmpgYqlQp2dnbMDnSIjY3FsGHDxLnRU6dOITY21iQ9ow0lxfhLSeq16lLPseuCCrgFKykpwYEDB5CRkQGlUik+zqrLXLNmzTTeotbW1jJ7UX/22WeYOXMm5HI5/v73v6OyshLBwcHMTlrZsWMH5s6di/Xr1yMyMhIJCQnIyspiEhswr57R+pB6/KUk9R9nqefYdWGaxYvEKDZu3IgOHTogNzcX48ePh5ubG9NmVl5eXvjhhx+gVCpx8eJFrF+/nllHv4yMDNjb2yM1NRUDBgzApk2bkJiYyCS2Wtu2baFSqSCXy+Hv74/ffvuNWWx1z2iVSgWVSoXExEST9YzWhzHGXyo7duzARx99hHbt2uHbb7/FrFmzmK6gKS0tRUhICFauXInVq1eL/5kCXYFbsNLSUgQEBOCnn36Cl5cXvLy88Pe//51Z/IkTJ+LYsWPw8PDA0aNHMWDAAAQGBjKJXVtbi5qaGqSmpuKFF16AtbU107estra2qKmpQZcuXbBr1y44OTk1esiDvsypZ7Q+pB5/qT38x5llozKppyZ1QQXcgqmnN5ydnXH+/Hk4Ozs3eaSYtlQqFUJCQrBhwwYEBQUxiVlfUFAQZs+ejS5duqB3797Iy8tjurplzpw5UKlUmD59On788Ufcv38f8+fPZxbfnHpG60Pq8ZeS1H+czakfDK1CsWDnzp0Tl8jt3LkTFRUVGD9+PLM2p2vWrMH06dOZbc1vSm1tLaysrIzyXKQhXsY/Ly8Pjo6OqKmpwY8//oiKigqMHj0abdu2NSjuokWLsHz5ckyePFnj3Yh6hzOrOXZdUAEneluyZAlu3bqF7t27a+w2ZHXlef78edy7dw/V1dXiY6+99ppBMVNTU3H//n288MILAICFCxeipKQEADBp0iQMHjzYoPiWRIrxJ2zRFArR2+uvvy5Z7C1btkCpVOLKlSsICAhASkoKunfvbnDcgwcP4qOPPhI/r66uRkREBKqqqhAbG0sF/L+kGn+eNTX9qO4tb0xUwInOlEoljh49iuzsbHh4eCAgIID5W+sbN25g7dq1+PjjjzF+/Hi89NJLWLVqlcFxa2pqNKZ8evXqBQcHBzg4ODBt+m9OPaP1IdX48ywsLAwymazR+XSZTIZNmzYZPScq4ERnmzdvhpWVFXr37o0LFy4gIyMD06ZNY/ocNjY2AOpuSBUUFMDBwQGFhYUGx334KmrGjBnix+qpFBZiY2PFntFA3San6Ohobgq4VONvbCw3IW3evJlBRmxRAbdg5eXlSEhIaNCzwdAtvxkZGWLz+oCAAHEnJktPP/00ysvL8dJLL4lXPiyWKPbo0QMKhaLBypmjR48yXSNvTj2j9SHV+BuDMTYhpaWliVv2vb29me1/0BUVcAsWERGBHj16wMPDg+ka3vq7L6ValaC+WTZ48GAMHDgQ1dXVTK6ipkyZgqioKCQnJ4unE928eRPV1dUIDQ01OL6aOfWM1odU428M6k1Ip06dwoABA/Dmm28iPDycWQH/9ttvkZ6ejmHDhgGoa9t8/fp1ZuvMdUEF3IJVV1djypQpzOPevn1bjCsIApRKJaZMmcJkOVVFRQWKi4vRrl07AHWn/qjbAPTv39/gY88cHR2xYsUKXL58Gffu3QNQd7XZp08fg+I+zJx6RutC6vE3Bqk3IV24cAFr1qwR31H5+fkx3SikCyrgFmz48OFQKBQYOHCgRjtZQ++W792719DUHumbb75Bz549xQKye/duDBgwAEqlEtevX8c777zD5Hn69OnDvGjXZ049o3VhrPGXkjE2IVVUVIi/RxUVFUxj68L8X1FEb9bW1ti1a5d4Iw0w3d1ybaWnp2sUiebNm4tz9rx18vvzzz/F+w+3bt0CYJqe0bqwhPEPDg5GcHCw+LmbmxuzBm4AMG7cOCxYsADe3t4QBAG///47Jk6cyCy+LqiAW7DDhw9j48aNaNWqlalT0drDHQ3nzJkjfmzKKx1dSX0uo1QsZfyl3IQ0bNgweHt7Iz09HUDdBjBTTS1RAbdgbdu21dghyQO5XI6ioiLxF8LDwwMAUFBQwFUzJXPqGa0LSxh/qTchXbt2DV26dIGvry8SExNx4MABBAcHw83NjdlzaIufdU1EZ7a2tliwYAG2bNmCHTt2iP+Zs5deegmrV6/G1atXUVlZicrKSly9ehVRUVFc9KJWU/eM5o0ljP+NGzcwZ84ctGjRAuPHj8fKlSuZ9nrftm0bbG1tcfv2bfz4449wd3c32bQkXYFbsEGDBmHQoEGmTkMnI0aMQKtWrbB3717cu3cPMpkMHTt2xIQJEzBgwABTp6c1dc9oKc9llIIljL/Um5CsrKwgk8mQlpaG0aNHIyAgACdOnGAWXxdUwC2Yn5+fqVPQi4+PD3x8fEydhkHMqWe0rngff6k3IdnZ2WH//v04deoUli1bBpVKhZqaGmbxdUHdCC3Y7NmzG523NOdVKISwVF1dzXwTUlFREZKSktCtWzexXfOVK1foVHrCVmlpqfhxdXU1zpw5g7KyMkm7CD7pzLFn9JPCEjYh6YoK+BMmLCzMZOf3ET6oVCqkpKRg6NChpk5FJ1988QV69uwpTh1+8MEH4iYkuVzObBOS1Icm64LmwC3YzZs3xY8FQUB6ejpUKpUJM9KeVI24pGaOPaN1JZfLcfDgQe4KuLE2Ie3YsQNz587F+vXrERkZiYSEBKarXHRBBdyCffPNN+LHcrkcbm5umDdvngkz0p5UjbikZo49o/XRt29fsYjb2dmJj5vzHyBjbkKS8tBkXVABt2Astw8bm1SNuKRmjj2j9XH69GkAQHx8vPiYuf8BMtYmJKkPTdYFzYFboMTERIwYMQKHDx9u9Otjx441cka6O3z4MOzs7Jg34jImc+kZ/aRITEzEkSNH8NZbb4mtgm/duoVvvvkGY8aMwYgRI5g8j1SHJuuDrsAtkPposMrKShNnoj8eG3HVZ049o/V19+5dZGRkaPQTMedeLsbahKTeMm9jY2Py9f50BU7M0pw5c7Bq1SquGnHV9/HHH2v0jFapVFiwYAHWrl1r4sy0s2/fPly9ehUZGRkYMGAALly4gF69emH+/PmmTs1kUlNTcf/+fbzwwgsAgIULF4rH8E2aNMkkB2LTFbgFy83NxZEjRxqs5DD37dwAn424HmYuPaP1kZKSgqioKISFheH9999HUVERYmJiTJ2WSR08eBAfffSR+Hl1dTUiIiJQVVWF2NhYKuCEraioKPj7+2PgwIFcnccI/K8Rl7e3t0YvEXNfRqhmTj2j9WFjYwO5XA65XI6Kigo4Ojri/v37pk7LpGpqauDq6ip+3qtXLzg4OMDBwUGctjQ2KuAWrFmzZhqN7XnCYyOu+sypZ7Q+unXrhvLycgQGBiI8PBx2dnZ46qmnTJ1Wk6TchPTwGv8ZM2aIH6unUoyN5sAtWFJSErKystC/f3+Nq1hPT08TZvVkUPeMtrOzQ2JiIm7dumWyntGGys3NRWVlJTp37mzqVLQSHh6OyMhI5nE3btwILy8vBAUFaTx+9OhRXLlyBXPnzmX+nE2hAm7Bdu/ejcTERLi7u2tMofCwPpz3Rlwff/wxoqKicOfOHXz++efw9/fHmTNnsGzZMlOn9lj1d+82hoc//t9++y0cHByYb0IqLi5GVFQUmjVrJi5TvHnzJqqrqxEaGmqSd1g0hWLBzpw5g02bNnFxmO7D6l9B1W/ExQtz6hmti/q7dxvDwx9/qTYhOTo6YsWKFbh8+TLu3bsHoK51rZSHYzeFv99sorVOnTqhvLwcjo6Opk5FZw4ODhqfv/jiiwgLC+Omk6I59YzWBQ8FuilS74bt06ePSYt2fVTALVhFRQXmzp3L3akwAN+NuABg3rx5SEpKwqxZs+Dk5IT8/HxujiQDgISEhEYfN+eNPPXxtglJX1TALdiECRNMnYLeeG7EBQBOTk4aLQtcXV25KiDq1TMAoFQqcfnyZXTt2pWL/4dHbULiIXddUQG3YF5eXsjLy0NWVhb69euHqqoqbq5ieX8rb049o/Xx8Hr78vJybNiwwTTJ6OhJ2oREBdyCKRQKHDt2DGVlZYiJiUFBQQG2bt2KxYsXmzq1R7KERlyAefWMZsHW1ha5ubmmTkMrT9ImJCrgFiw+Ph4RERFYuHAhAKBdu3YoLi42cVaPZwmNuNTMpWe0PiIjI8VlnIIgICMjA0OGDDFxVtrhdROSPqiAW7BmzZpp3Lx8uOG9OXr++ecB8H2qO2BePaP1Uf+Gq/oeROvWrU2YkfbefvttAMCoUaPg4+PD1SYkXdFGHgu2a9cu2NvbIzExEdOnT0d8fDw6duyIN954w9SpNYnnRlyAefWMflJYwiYkXVEBt2CCIODYsWO4ePEiBEFA//79ERgYaPZX4QAQGhoKf39/eHh4aOwi9fLyMmFWT47Jkyc3eJ3Y29vD09MTkydPhru7u4kye7SmdrnyfmO8MVTALZRKpUJISAg3KwcetnDhQqxatcrUaejMHHtG62PPnj1o3bo1hg0bBkEQcPr0aWRnZ8PT0xO//PILli5dauoUCWgO3GLJ5XK0b98e+fn5Gi0weREcHIx9+/Zx14jLHHtG6+PcuXOIiooSPw8KCkJoaCgmTZqkcUqSOeJ9E5IuqIBbsPLycoSEhKB79+4ahyPwMI989+5dJCYm4vLly1w14jLHntH6sLGxwenTp8U/OCkpKbCxsTFxVtrheROSrqiAWzBe+oY0htdGXObYM1ofH374IXbu3Int27cDAHr06IEPPvgASqVS4//JHPG8CUlXfP12EK0olUocPXoU2dnZ8PDwQEBAAKysrEydlk54bcTVo0cPKBSKRntGd+vWzURZ6c7d3R3h4eGNfq1Xr15GzsYwPG1C0hUVcAu0efNmWFlZoXfv3rhw4QIyMjIwbdo0U6elE14bcU2ZMgVRUVFITk5utGc0LzIzM7Ft2zYUFxdj3bp1uHPnDtLS0vDqq6+aOrUm8bwJSVdUwC1QRkYG1q1bBwAICAgQd2LyhNdGXObYM1ofX3zxBd566y1s2bIFANC5c2ds3LiRiwLO8yYkXVEBt0D1r1h5mzpR47kRF2BePaP1oVQq0b17d43HeDkY+0naK0AF3ALdvn0bU6ZMAVD3FlKpVGLKlCkQBAEymYyLjng8NuKyJA4ODsjOzhanIlJSUuDs7GzirLTD4yYkfVEBt0B79+41dQoG47ERlyWZMWMGtmzZgr/++gvvvvsu2rRpgw8//NDUaWklODj4kZuQPv/8c4vahEQFnJglHhtxWRJ3d3csWrQIDx48gCAIsLW1RXJyMtzc3EydWpN43oSkKyrgxCx5eXnhhx9+gFKpxMWLFxEfH4+BAweaOi2LV1FRgfj4eBQUFGDQoEHo27cv4uPjcejQIXTu3BnDhw83dYpN4nkTkq6oFwoxSzw34uLZmjVr0KJFCzz11FO4dOkSSkpKIAgCpk2bhi5dupg6Pa3k5ORg586d+OOPPwDUrc2fOnUqXFxccPPmTe7WsT8OFXBidnhvxMWz+fPni0tQVSoV3nnnHcTGxlrsFSzv+FgXRJ4o9RtxEeOqf99BLpejdevW3BXvzMxMfPrpp5g/fz4A4M6dO/j3v/9t4qykQXPgxCzx3IiLZ5awBJXnTUi6ogJOzBLPjbh4ZglLUHnehKQrKuDErFhCIy5iWjxvQtIV3cQkZiU6OlqjEZebmxt3jbiIaeXk5GDLli24fv06WrRoIW5C4mENu67oCpyYFUtoxEVMi+dNSLqiAk7MiiU04iKmYQmbkHRFUyjErLz++uuws7MD8L9VELa2tlytgiCmYQmbkHRFBZwQYhGexE1Ilrm2hhDyxLGETUi6oitwQohFeBKn36iAE0IIp2gKhRBCOEUFnBBCOEUFnBBCOEUFnBBCOEUFnBBCOEUFnBBCOPX/xCzfgbThQFsAAAAASUVORK5CYII=\n", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.bar(x, y)\n", + "plt.xticks(rotation=90);" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "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": "3.9.7" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/your-code/.ipynb_checkpoints/challenge-2-checkpoint.ipynb b/your-code/.ipynb_checkpoints/challenge-2-checkpoint.ipynb new file mode 100644 index 0000000..76b9b39 --- /dev/null +++ b/your-code/.ipynb_checkpoints/challenge-2-checkpoint.ipynb @@ -0,0 +1,421 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Challenge 2" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In this lab you will partner with another student to conduct **[pair programming](https://en.wikipedia.org/wiki/Pair_programming)**. In the next 60 minutes there will be 2 coding sessions of 30 minutes each. In each sessoin, one student will be the **driver** to write the code to solve the problem while the other student will be the **observer** to watch and review. There will be several iterations of your code because the observer will help the driver review the codes and make improvements until the 15 minute session ends. After the coding session ends, the driver and observer will switch roles." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Import all the libraries that are necessary" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "# import libraries here\n", + "import pandas as pd\n", + "\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "%matplotlib inline\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Preparation\n", + "\n", + "#### Import the `Fitbit2.csv` file and name your dataset `fitbit`" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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DateCalorie burnedStepsDistanceFloorsMinutes SedentaryMinutes Lightly ActiveMinutes Fairly ActiveMinutes Very ActiveActivity Calories...Distance_milesDaysDays_encodedWork_or_WeekendHours SleepSleep efficiencyYesterday_sleepYesterday_sleep_efficiencyMonthsMonths_encoded
02015-05-0819349050.6501.35546001680...0.403891Friday4.016.40000092.0863310.0000000.000000May5
12015-05-0936311892514.114611.00031661602248...8.767545Saturday5.007.56666792.4643586.40000092.086331May5
22015-05-1032041422810.571602.00022614771719...6.567891Sunday6.006.45000088.7614687.56666792.464358May5
32015-05-11267367565.028749.0001902349620...3.119282Monday0.015.18333388.8571436.45000088.761468May5
42015-05-1224955023.731876.000171007360...2.317714Tuesday1.016.78333382.8920575.18333388.857143May5
\n", + "

5 rows × 24 columns

\n", + "
" + ], + "text/plain": [ + " Date Calorie burned Steps Distance Floors Minutes Sedentary \\\n", + "0 2015-05-08 1934 905 0.65 0 1.355 \n", + "1 2015-05-09 3631 18925 14.11 4 611.000 \n", + "2 2015-05-10 3204 14228 10.57 1 602.000 \n", + "3 2015-05-11 2673 6756 5.02 8 749.000 \n", + "4 2015-05-12 2495 502 3.73 1 876.000 \n", + "\n", + " Minutes Lightly Active Minutes Fairly Active Minutes Very Active \\\n", + "0 46 0 0 \n", + "1 316 61 60 \n", + "2 226 14 77 \n", + "3 190 23 4 \n", + "4 171 0 0 \n", + "\n", + " Activity Calories ... Distance_miles Days Days_encoded \\\n", + "0 1680 ... 0.403891 Friday 4.0 \n", + "1 2248 ... 8.767545 Saturday 5.0 \n", + "2 1719 ... 6.567891 Sunday 6.0 \n", + "3 9620 ... 3.119282 Monday 0.0 \n", + "4 7360 ... 2.317714 Tuesday 1.0 \n", + "\n", + " Work_or_Weekend Hours Sleep Sleep efficiency Yesterday_sleep \\\n", + "0 1 6.400000 92.086331 0.000000 \n", + "1 0 7.566667 92.464358 6.400000 \n", + "2 0 6.450000 88.761468 7.566667 \n", + "3 1 5.183333 88.857143 6.450000 \n", + "4 1 6.783333 82.892057 5.183333 \n", + "\n", + " Yesterday_sleep_efficiency Months Months_encoded \n", + "0 0.000000 May 5 \n", + "1 92.086331 May 5 \n", + "2 92.464358 May 5 \n", + "3 88.761468 May 5 \n", + "4 88.857143 May 5 \n", + "\n", + "[5 rows x 24 columns]" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fitbit=pd.read_csv('Fitbit2.csv')\n", + "\n", + "fitbit.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Coding Session I - 30 minutes\n", + "\n", + "From the Fitbit data, we want to visually understand: \n", + "\n", + "1. **How the average number of steps change by month. Use the appropriate visualization to show the median steps by month?**\n", + "1. **Is Fitbitter more active on weekend or workdays?**\n", + "\n", + "##### All plots must be in the same jupyter notebook cell.\n", + "\n", + "Hints:\n", + "\n", + "- Use `Months_encoded` and `Week_or Weekend` columns\n", + "- Use `matplolib.pyplot` object oriented API\n", + "- Set your size figure to `12,4`\n", + "- Explore `plt.sca`\n", + "- Explore `plt.xticks`\n", + "- Save your figures" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "# Driver 1 enter codes here\n", + "#fitbit.groupby('Months_encoded').agg({'Steps': 'mean'})\n", + "pasos_mes = fitbit.groupby('Months_encoded').agg({'Steps':'mean'})" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "y = pasos_mes['Steps']\n", + "x = range(1, 13)\n", + "\n", + "plt.figure(figsize=(12,4))\n", + "plt.plot(x,y)\n", + "plt.ylabel('Pasos')\n", + "plt.xlabel('Mes')\n", + "plt.grid() #cuadricula\n", + "plt.xticks(x);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Coding Session II - 30 minutes\n", + "\n", + "**Write a loop to plot 3 scatter plots of the following features:**\n", + "\n", + "1. **`Minutes Lightly Active` vs `Steps`**\n", + "1. **`Minutes Very Active` vs `Steps`**\n", + "1. **`Minutes Sedentary` vs `Steps`**" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'Minutes')" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "equis = ['Minutes Lightly Active', 'Minutes Very Active', 'Minutes Sedentary']\n", + "y = fitbit['Steps']\n", + "\n", + "for minutes in equis:\n", + " x = fitbit[minutes]\n", + " plt.scatter(x,y)\n", + " \n", + "plt.xlabel('Steps')\n", + "plt.ylabel('Minutes')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Driver 2 enter codes here\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "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": "3.9.7" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/your-code/.ipynb_checkpoints/challenge-3-checkpoint.ipynb b/your-code/.ipynb_checkpoints/challenge-3-checkpoint.ipynb new file mode 100644 index 0000000..5b55834 --- /dev/null +++ b/your-code/.ipynb_checkpoints/challenge-3-checkpoint.ipynb @@ -0,0 +1,1114 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Challenge 3" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "# import libraries here\n", + "import pandas as pd\n", + "\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "%matplotlib inline\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Import the titanic file. Name your dataset `titanic`." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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PassengerIdSurvivedPclassNameGenderAgeSibSpParchTicketFareCabinEmbarked
010.03Braund, Mr. Owen Harrismale22.010A/5 211717.2500U0S
121.01Cumings, Mrs. John Bradley (Florence Briggs Th...female38.010PC 1759971.2833C85C
231.03Heikkinen, Miss. Lainafemale26.000STON/O2. 31012827.9250U0S
341.01Futrelle, Mrs. Jacques Heath (Lily May Peel)female35.01011380353.1000C123S
450.03Allen, Mr. William Henrymale35.0003734508.0500U0S
\n", + "
" + ], + "text/plain": [ + " PassengerId Survived Pclass \\\n", + "0 1 0.0 3 \n", + "1 2 1.0 1 \n", + "2 3 1.0 3 \n", + "3 4 1.0 1 \n", + "4 5 0.0 3 \n", + "\n", + " Name Gender Age SibSp \\\n", + "0 Braund, Mr. Owen Harris male 22.0 1 \n", + "1 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38.0 1 \n", + "2 Heikkinen, Miss. Laina female 26.0 0 \n", + "3 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 1 \n", + "4 Allen, Mr. William Henry male 35.0 0 \n", + "\n", + " Parch Ticket Fare Cabin Embarked \n", + "0 0 A/5 21171 7.2500 U0 S \n", + "1 0 PC 17599 71.2833 C85 C \n", + "2 0 STON/O2. 3101282 7.9250 U0 S \n", + "3 0 113803 53.1000 C123 S \n", + "4 0 373450 8.0500 U0 S " + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "titanic = pd.read_csv('./titanic.csv',low_memory=False)\n", + "titanic.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "collapsed": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 1309 entries, 0 to 1308\n", + "Data columns (total 12 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 PassengerId 1309 non-null int64 \n", + " 1 Survived 891 non-null float64\n", + " 2 Pclass 1309 non-null int64 \n", + " 3 Name 1309 non-null object \n", + " 4 Gender 1309 non-null object \n", + " 5 Age 1309 non-null float64\n", + " 6 SibSp 1309 non-null int64 \n", + " 7 Parch 1309 non-null int64 \n", + " 8 Ticket 1309 non-null object \n", + " 9 Fare 1309 non-null float64\n", + " 10 Cabin 1309 non-null object \n", + " 11 Embarked 1309 non-null object \n", + "dtypes: float64(3), int64(4), object(5)\n", + "memory usage: 122.8+ KB\n" + ] + } + ], + "source": [ + "titanic.info()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Explore the titanic dataset using Pandas dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "collapsed": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "PassengerId int64\n", + "Survived float64\n", + "Pclass int64\n", + "Name object\n", + "Gender object\n", + "Age float64\n", + "SibSp int64\n", + "Parch int64\n", + "Ticket object\n", + "Fare float64\n", + "Cabin object\n", + "Embarked object\n", + "dtype: object" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#your code here\n", + "titanic.dtypes" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### What are your numerical variables? What are your categorical variables?\n", + "\n", + "*Hint: Use Pandas `select_dtypes`*" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "collapsed": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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PassengerIdSurvivedPclassAgeSibSpParchFare
010.0322.000000107.2500
121.0138.0000001071.2833
231.0326.000000007.9250
341.0135.0000001053.1000
450.0335.000000008.0500
........................
13041305NaN329.513190008.0500
13051306NaN139.00000000108.9000
13061307NaN338.500000007.2500
13071308NaN329.513190008.0500
13081309NaN325.3154351122.3583
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1309 rows × 7 columns

\n", + "
" + ], + "text/plain": [ + " PassengerId Survived Pclass Age SibSp Parch Fare\n", + "0 1 0.0 3 22.000000 1 0 7.2500\n", + "1 2 1.0 1 38.000000 1 0 71.2833\n", + "2 3 1.0 3 26.000000 0 0 7.9250\n", + "3 4 1.0 1 35.000000 1 0 53.1000\n", + "4 5 0.0 3 35.000000 0 0 8.0500\n", + "... ... ... ... ... ... ... ...\n", + "1304 1305 NaN 3 29.513190 0 0 8.0500\n", + "1305 1306 NaN 1 39.000000 0 0 108.9000\n", + "1306 1307 NaN 3 38.500000 0 0 7.2500\n", + "1307 1308 NaN 3 29.513190 0 0 8.0500\n", + "1308 1309 NaN 3 25.315435 1 1 22.3583\n", + "\n", + "[1309 rows x 7 columns]" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# your code here- numerical variable\n", + "titanic.select_dtypes('number')" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "collapsed": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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NameGenderTicketCabinEmbarked
0Braund, Mr. Owen HarrismaleA/5 21171U0S
1Cumings, Mrs. John Bradley (Florence Briggs Th...femalePC 17599C85C
2Heikkinen, Miss. LainafemaleSTON/O2. 3101282U0S
3Futrelle, Mrs. Jacques Heath (Lily May Peel)female113803C123S
4Allen, Mr. William Henrymale373450U0S
..................
1304Spector, Mr. WoolfmaleA.5. 3236U0S
1305Oliva y Ocana, Dona. FerminafemalePC 17758C105C
1306Saether, Mr. Simon SivertsenmaleSOTON/O.Q. 3101262U0S
1307Ware, Mr. Frederickmale359309U0S
1308Peter, Master. Michael Jmale2668U0C
\n", + "

1309 rows × 5 columns

\n", + "
" + ], + "text/plain": [ + " Name Gender \\\n", + "0 Braund, Mr. Owen Harris male \n", + "1 Cumings, Mrs. John Bradley (Florence Briggs Th... female \n", + "2 Heikkinen, Miss. Laina female \n", + "3 Futrelle, Mrs. Jacques Heath (Lily May Peel) female \n", + "4 Allen, Mr. William Henry male \n", + "... ... ... \n", + "1304 Spector, Mr. Woolf male \n", + "1305 Oliva y Ocana, Dona. Fermina female \n", + "1306 Saether, Mr. Simon Sivertsen male \n", + "1307 Ware, Mr. Frederick male \n", + "1308 Peter, Master. Michael J male \n", + "\n", + " Ticket Cabin Embarked \n", + "0 A/5 21171 U0 S \n", + "1 PC 17599 C85 C \n", + "2 STON/O2. 3101282 U0 S \n", + "3 113803 C123 S \n", + "4 373450 U0 S \n", + "... ... ... ... \n", + "1304 A.5. 3236 U0 S \n", + "1305 PC 17758 C105 C \n", + "1306 SOTON/O.Q. 3101262 U0 S \n", + "1307 359309 U0 S \n", + "1308 2668 U0 C \n", + "\n", + "[1309 rows x 5 columns]" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#your code here- categorical variable\n", + "titanic.select_dtypes(exclude='number')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Set the plot style to `classic` and the figure size to `(12,6)`\n", + "\n", + "*Hint: To set the style you can use `matplotlib.pyplot` functions or seaborn*" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# your code here\n", + "#plt.style.classic\n", + "plt.style.use('classic')\n", + "plt.figure(figsize=(12,6))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Use the appropriate visulalization to show the distribution of the column `Age`" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# your code here\n", + "plt.style.use('classic')\n", + "plt.figure(figsize=(12,6))\n", + "\n", + "plt.scatter(titanic['Age'], range(len(titanic['Age'])))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Use subplots to plot the distribution of the `Age` variable with bins equal to `10`, `20` and `50`." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# your code here\n", + "x = titanic['Age']\n", + "\n", + "fig, ax = plt.subplots(3,1)\n", + "plt.figure(figsize=(12,6))\n", + "\n", + "ax[0].hist(x)\n", + "ax[1].hist(x, bins=20)\n", + "ax[2].hist(x, bins=50);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Whether the bin size affects your plot? Why?" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "#your comment here\n", + "# Si, porque hay poca representación de los datos en la \n", + "# gráfica si no hay suficientes barras" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Use seaborn to show the distribution of the column `Age`" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# your code here\n", + "sns.histplot(titanic['Age']);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Use the appropriate plot to visualize the column `Gender`. There are 2 ways of doing it. Do it both ways.\n", + "\n", + "*Hint: Use matplotlib and seaborn*" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# your code here- 1st way\n", + "\n", + "grupo = titanic.groupby('Gender').agg({'Gender':'count'})\n", + "x = ['female','male']\n", + "# grupo\n", + "colors = ['hotpink', 'blue']\n", + "plt.pie(grupo['Gender'], labels=x, colors=colors);\n", + "# titanic['Gender']" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# your code here- 2nd way\n", + "sns.histplot(titanic['Gender'])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Use the appropriate plot to visualize the column `Pclass` \n" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# your code here\n", + "titanic['Pclass'].hist();" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### We would like to have in one single plot the summary statistics of the feature `Age`. Choose the appropriate plot to show below." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# your code here\n", + "#titanic.groupby('Age').agg({'Age': ['max', 'min', 'mean', 'std']}).hist();\n", + "\n", + "titanic['Age'].plot.box();\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### What does the previous plot tell you about the feature `Age`? Comment." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# your comment here\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Now in addition to the summary statistics, we also want to visualize the distribution of `Age`. Choose the appropriate plot to sow below." + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#your code here\n", + "\n", + "titanic_age=titanic.groupby('Age').agg({'Age': ['max', 'min', 'mean', 'std']})\n", + "\n", + "sns.displot(data=titanic_age, kde=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### What additional information in the previous plot provide you about the feature `Age`? Comment." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#your comment here\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### We suspect that there is a linear relationship between `Fare` and `Age`. Use the appropriate plot to show the relationship between these 2 features. There are 2 ways, please do it both ways.\n", + "\n", + "*Hint: One of the ways involves using Seaborn*" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#your code-1st way\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# your code-2nd way\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Using Seaborn plot the correlation matrix of various features.\n", + "\n", + "*Hint: search how to use `heatmap`*" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#your code here\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### According to the previous plot, what are the most correlated feature? Comment." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#your comment here\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Use the appropriate plot to display the summary statistics of the `Age` in function of the `Pclass`.\n", + "\n", + "*Hint: use boxplot to display summary statistics of `Age` in relation to each of the discrete values of `Pclass`*" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#your code here\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Use the appropriate plot to display the distributions of `Age` in relation to `Gender`.\n", + "\n", + "*Hint: use Facetgrid to display the distribution of `Age` for each categorical value of `Gender`*" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#your code here\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "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": "3.9.7" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/your-code/challenge-1.ipynb b/your-code/challenge-1.ipynb index 72694b0..cc200ab 100644 --- a/your-code/challenge-1.ipynb +++ b/your-code/challenge-1.ipynb @@ -34,12 +34,11 @@ "source": [ "# import libraries here\n", "import numpy as np\n", - "'''\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", + "\n", "import seaborn as sns\n", - "%matplotlib inline\n", - "'''" + "%matplotlib inline\n" ] }, { @@ -75,16 +74,122 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ - "# your code here-1st way (call `subplots` twice using the `index` parameter)\n" + "fig, ax = plt.subplots(1,2)\n", + "ax[0].plot(x,y, linewidth=3, c='yellow')\n", + "ax[1].plot(x,z, linewidth=3, c='yellow')" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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Mbtf9M9vF6D7/wbNyrlH/tB0Gkn4ZeCkiHu9ifZqKiA0RsSoiVi1ZsiSvjzXrKbfr/hm2i9E1M9bBay8APijp/cAbgJOArwCLJI2lb//Lgcm0/yRwOrBH0hhwMvDjTHlV9jVmZj1RXVdQbzrpoF6Mrpm2zwwi4uqIWB4RK6gMAD8UER8Fvgv8atptHXBPerw5PSdtfygiIpVflmYbnQmsBL7Xbr3MzGYzrBeja6aTM4NGfg+4XdKXgAlgYyrfCNwqaRewl0qAEBHbJd0JPAUcBq6MiMYXBzEz68AwX4yuma6EQUQ8DDycHj9DndlAEfEa8KEGr/8y8OVu1MXMrJlr790+tBeja8YrkM1saDRbaQyDfzG6ZhwGZjY0mq00HoaL0TXjMDCzodFsKukwXIyuGYeBmQ2FZpeoHqaVxo04DMxs4M02lXSYVho34jAws4HmqaStcRiY2UAb5vsaz4XDwMwG2jDf13guHAZmNrCG/b7Gc+EwMLOBNNug8bBPJa3lMDCzgeNB47lzGJjZwPH1h+bOYWBmA8XXH2qPw8DMBsq1925vuM2Dxo05DMxsYMx2VuBB48YcBmY2EKqzhxrx9YeacxiYWenNNnsIfP2h2TgMzKz0ZrvkhM8KZucwMLPSm+2SEz4rmJ3DwMxKzZec6A6HgZmVli850T0OAzMrJV9yorscBmZWSr7kRHc5DMysdHzJie5zGJhZ6fiSE93nMDCzUvElJ3rDYWBmpeFLTvTOWL8rYGbWis+Nb+Obj/yw7jTSKi8ua5/PDMys8MYnJmcNAp8VdMZhYGaF1mxhWZUvOdE5h4GZFVYrVyP17KHuaDsMJJ0u6buSnpK0XdJnUvkpkh6Q9HT6uTiVS9KNknZJelLSOZn3Wpf2f1rSus7/WmY2CGZbWOZLTnRPJ2cGh4Hfjoh3AOcDV0p6B3AV8GBErAQeTM8BLgZWpj/rgZugEh7ANcB5wLnANdUAMbPhNdsUUgEfPf8MB0GXtB0GEfF8RHw/Pf57YAewDLgE2JR22wSsTY8vAW6JikeARZLeDFwEPBAReyNiH/AAsKbdepnZYJhtYdkNH34XX1p7do41GmxdGTOQtAJ4N/AosDQink+bXgCWpsfLgN2Zl+1JZY3KzWxIeWFZ/joOA0lvBP4r8NmI+El2W0QENJ0EMNfPWi9pq6StU1NT3Xpbs75yu57OC8v6o6MwkDSPShB8MyLuTsUvpu4f0s+XUvkkcHrm5ctTWaPyGSJiQ0SsiohVS5Ys6aTqZoXhdn3c58a38Vt3POF7GfdBJ7OJBGwEdkTEH2c2bQaqM4LWAfdkyi9Ps4rOB15O3UlbgAslLU4DxxemMjMbIl5Y1l+dXI7iAuDjwDZJT6Sy3weuA+6UdAXwHHBp2nYf8H5gF/Aq8AmAiNgr6YvAY2m/L0TE3g7qZWYl44Vl/dd2GETE/4aGtx5dXWf/AK5s8F43Aze3WxczKy8vLCsGr0A2s77ywrJicBiYWd98bnybF5YVhC9hbWZ9UR0wbmRU8hlBjnxmYGa5a2XA2EGQL58ZmFmuWrlJjaeQ5s9nBmaWm1bWEggvLOsHh4GZ5aKVriEPGPePu4nMrOda6RrygHF/+czAzHqq1a4hB0F/OQzMrKeuvXe7u4ZKwN1EZtYT4xOTfH7zdvYfaLyozF1DxeEwMLOua2WMwF1DxeJuIjPrqlbGCMBdQ0XjMDCzrmll+ihUFpX5/sXF4m4iM+uKVrqGwPclKCqHgZl17HPj2/izJhedq1q8cB7X/Iuz3D1UQA4DM2tbKzOG4Pj0UXcNFZfDwMza0mq3kKePloPDwMzmpNWzAfD00TJxGJhZy1o9G6jy9NHycBiYWUtaHSQGjxGUkcPAzJqaS7cQeMZQWTkMzKyhuXQL+Wyg3BwGZjaDzwaGj8PAzKaZ6yDxx3w2MBAcBmZ2jAeJh5fDwGzIzbVLCNwtNIgcBmZDqp0Q8NnA4HIYmA2Z8YlJrr77SQ4cOjqn1/lsYLA5DMyGQDtnAVkeJB58DgMrpIjg4OGjvH7kKAcPHeXg4SO8np6/fvhoZdvh6uMjHJxRlnlNdtuR4695z9uW8PGfW9Hvv2pPdHrwr3K30PBwGNgxEcGhIzHtgFl7cK094B7/eaTOAXfma6Yd3Ose2I/v1w1jI2L+2Ajzx0ZYkH7OHx1hwdgoP3ntcFc+o9/GJya5fstOJvcfQNDylNDZuFtouBQmDCStAb4CjAJfi4jr+lyl3Bw5GtMOvgdrDooHD00/0M48SM/8ptzo23DtQXzagfzIUaILRxKJdMAdYcG80WOPswfkE+aPsnhs/rED9fzRERbMG2H+6Oi0/RZkD+JjlYP4tIN6ev9j+84bYUF6j/ljI4yOqPO/UJ/N5WDfjSBwCAynQoSBpFHgvwDvA/YAj0naHBFP9eozs90Qs3UtZL/d1jvAHjw0s/ui0Wtq93/98FEOH+3Od7nsQbH22/CCscpBc+HCsRnl0w7U0w6sozPec8HYaN2DdPXAvGBshLERIZX/IFwElcHebRw4dATo3rf+ejwuMNwKEQbAucCuiHgGQNLtwCXAnMJg+49e5j/ev/P4t+DMAbfeN+5uGB1R5lvt8Z/zMwfZN71hbMZBOftNtvbb8PGD7WidA+7xA/K0zxsdYWQAvgXbdNdv2XksCHrFZwIGxQmDZcDuzPM9wHm1O0laD6wHOOOMM2a8ydGjsP/V1491Q5w8Oq9yQJ13/Btvo2+3jQ7WtftnD9TzRsXY6EiPfiU2LJq16x/tP9CTz3QAWK2ihEFLImIDsAFg1apVM86Yz15+Mvd86udzr5dZJ5q167csOoHJLgWCA8CaKUoYTAKnZ54vT2VmQ+13Lnr7tDGDufDB3+aiKGHwGLBS0plUQuAy4Nf6WyWz/qseyFuZTeSDv3WiEGEQEYclfQrYQmVq6c0Rsb3P1TIrhLXvXuYDvPVcIcIAICLuA+7rdz3MzIaRp8KYmZnDwMzMHAZmZobDwMzMAEU3rkzWB5KmgOfqbDoN+Lucq9OI61JfGeryUxGxJO/KNGnXUI7fWz+4LvXVq0vDdl3aMGhE0taIWNXveoDr0ojr0p4i1dV1qa/MdXE3kZmZOQzMzGwww2BDvyuQ4brU57q0p0h1dV3qK21dBm7MwMzM5m4QzwzMzGyOHAZmZuYwMDOzAl21tF2SfobK/ZKr1/idBDZHxI7+1cqsc27blqdSnxlI+j3gdkDA99IfAbdJuirnuqzJPD5Z0kZJT0r6c0lLc67LyZKuk/QDSXsl/VjSjlS2KOe6FOb3UiZu2w3r4rbdI6WeTSTpr4GzIuJQTfl8YHtErMyxLt+PiHPS468BLwB/CvwK8J6IWJtjXbYADwGbIuKFVPaPgXXA6oi4MMe6FOb3kqnTUjLftiPixbzrMBu37YZ1cdtuXqf223ZElPYP8AMq19qoLf8pYGfOdfl+5vETNdueyLkuDf/uQ/57eRfwCLAD+B/pzw9S2Tl51qWFurpt16+L23b9unTctss+ZvBZ4EFJTwO7U9kZwFuBT+Vcl38k6d9TOZU/SZIi/SuRf3fcc5J+l8q3pxfh2DeGX+f47ykvRfq9fAP4NxHxaLZQ0vnA14F35lyfZj6L23Y9btv1fYMO23apwyAi7pf0NuBcpg+yPRYRR3Kuzp8Cb0qPN1G5YuBUOoV9Iue6fBi4Cvif6T9KAC8Cm4FLc65LkX4vJ9b+ZwGIiEcknZhzXZpy227Ibbu+jtt2qccMiibN/lgGPBoR/5ApXxMR9/exXv+MykFlW0R8J+fP/k3gv0VE3t/a6tXlRuCngVs4/i3ydOBy4NmIyPsbd2m4bdf97IFq2w6DLpH0aSqn7zuo9N99JiLuSduODTTlVJfvRcS56fFvAFcC48CFwL0RcV2OdXkZeAX4G+A24C8iYiqvz69Tn4upP13zvn7VqejcthvWZbDadp6DHIP8B9gGvDE9XgFspfKfBmAi57pMZB4/BixJj0+k8g0q17pQ6T+9ENgITAH3U5n98aZ+/7v5T0v/hm7bDeoySG271OsMCmYk0ulzRPwt8AvAxZL+mMoAU651kbRY0qlUzv6mUr1eAQ7nXJeIiKMR8Z2IuAJ4C/BVYA3wTJ4VycxR39HvOeol47Zd30C1bYdB97wo6V3VJ+k/zy9TGVQ6O+e6nAw8TuUb3CmS3gwg6Y3k/5932udFxKGI2BwRH6EyTTJPdwL7gF+MiFMi4lTgF4H9aZvV57Zd30C1bY8ZdImk5cDhSAtharZdEBH/pw/Vqq3HQmBpRDyb42e+LSL+Oq/Pa0bSzoh4+1y3DTu37YafOVBt22FgQ0PSd6gsxqk3R/19EfFLfayeWdu60bbdTWTD5MPAqVTmqO+VtBd4GDgF+FA/K2bWoY7bts8MzABJn4iIr/e7Hmbd1mrbdhiYAZJ+GBFn9LseZt3Watsu9eUozOZC0pONNgGlu+SwWVU32rbDwIbJUuAiKlPwsgT8Zf7VMeuajtu2w8CGybeorKR9onaDpIdzr41Z93Tctj1mYGZmnlpqZmYOAzMzw2FgZmY4DMzMDPj/j7C5fDHihKoAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(nrows=1, ncols=2, sharey=True)\n", + "ax[0].title.set_text('Max')\n", + "plt.xticks(rotation=90)\n", + "ax[0].plot(x, y)\n", + "plt.setp(ax[0].xaxis.get_majorticklabels(), rotation=90)\n", + "\n", + "ax[1].title.set_text('May')\n", + "ax[1].scatter(x, z)\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# your code here-1st way (call `subplots` twice using the `index` parameter)\n", + "plt.style.use('ggplot')\n", + "plt.figure(figsize=(20, 20))\n", + "fig, ax = plt.subplots(nrows=2)\n", + "\n", + "ax[0].title.set_text('Max')\n", + "ax[0].set_xticklabels([])\n", + "ax[0].plot(x, y)\n", + "\n", + "ax[1].title.set_text('May')\n", + "ax[1].scatter(x, z)\n", + "plt.xticks(rotation=90);\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -102,11 +207,25 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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Bw08pIoNmWQlise97dXmzZRGRxuXzbSYQeAEA142Qzx9nLMt+R6yWLVvGpk2b6O/v59JLL+Xcc89lzpw5e1wGBNi0aRN33XUXfr8fn8/Hpz71qX1OfBeRkRGP347PlwGgUDiKXG622UAiIiNs4PyqfP54IGwsy34bq6uuumqvj19++Z6/Bc+cOZOZM81d1xRpdpaVJh7/tlcnk4sAy1wgEZFRMHBh0FzuZINJtPK6SEOJxX6A398LQLF4KJnMBwwnEhEZebUyvwrUWIk0kALx+M1elUxewjBv/BURqXk+32u7za+aZjaP0XcXkaqJRn9KIPAKAKVSO5nMRwwnEhEZeXvOr4qYC4MaK5EG4VZstpxKLcB1owbziIiMjlBo12VA0/OrQI2VSEMIh+8nGHwKAMeJkUrNNxtIRGSUVG68bHZ+FaixEmkIAzdbTqcvxHXbDKYRERkd5flVzwPgumHj86tAjZVI3QsGewiHHwbAdYMkk58ynEhEZHRU3g34LkzPrwI1ViJ1r6Vl12hVJjMPx9FWMSLSHGpp/aqd1FiJ1LFA4CkikV8D4LoWyeRlhhOJiIyeyhErNVYiMky2fZN3nM2+j2JxisE0IiKjx+d7hUDgRQAcx/z6VTupsRKpU37/K0Sjq7y6vH2NiEhzGHg3YKEwHZP7Aw6kxkqkTsXjN2NZRQByuZMoFN5lOJGIyOgZeBmwVuZXgRorkbpkWQlise97tUarRKTZ1OLEdVBjJVKX4vHb8fkyABQKR5LLvcdwIhGR0eP3v0wg8FcAHCdKofBOw4l2UWMlUmcsK008/m2vTiYvByxzgURERlko9IB3nM+fAITMhdmNGiuROhOL/QC/vxeAYnESmcwHDCcSERldtbjMwk5qrETqSoF4/GavSiYvBQLm4oiIjDq35jZeHkiNlUgdiUZ/SiDwCgClUjuZzEcMJxIRGV1+/4sEAq8C4Dg2hcKxhhNVUmMlUjdcbHuFV6VSC3DdqME8IiKjr/Iy4InU2qi9GiuROhEO308w+BQAjhMjlZpvNpCIiAG1fBkQ1FiJ1A3b3rXZcjp9Ia7bZjCNiIgJLuHwwDsC320wy96psRKpA6FQD+HwwwC4bpBk8lOGE4mIjL5A4Dn8/tcBcJyxFApHGU60JzVWInVg4GhVJjMPx5lgMI2IiBkD16/K5WYCfnNh9kGNlUiNCwSeIhL5tVcnk5cZTCMiYk7lZcDam18FaqxEap5t3+QdZzLvo1icYjCNiIgpTs3uDzhQbd2jKCIV/P5XiEZXeXV5+xrZm5///OesXr0ay7KYNGkSixYtYvv27Sxbtoz+/n4mT57MFVdcQSAQoFAo8I1vfIPnn3+elpYWrrrqKsaPHw/Avffey+rVq/H5fFx00UVMmzbN7DcmIgAEApu8XSdKpQ6KxSMMJ9o7jViJ1LB4/GYsqwiU5xMUCu8ynKg2JRIJfvWrX7F48WKWLFmC4zg8+OCDfPe73+XMM8/k61//OvF4nNWrVwOwevVq4vE4X//61znzzDP53ve+B8DLL7/Mgw8+yNe+9jW+8IUvcOutt+I4jslvTUTesOfdgLW5R6oaK5GatY1Y7PtepdGqN+c4Dvl8nlKpRD6fZ+zYsTzxxBPMnDkTgNmzZ9PT0wPAI488wuzZswGYOXMmf/rTn3Bdl56eHk4++WSCwSDjx4/n4IMP5rnnnjP1LYnIAAMbq1zu7w0meXO6FChSo3y+m/D5MgAUCkeSy73HcKLa1d7ezgc+8AEuu+wyQqEQ73znO5k8eTKxWAy/3+89J5FIAOURro6ODgD8fj+xWIz+/n4SiQRTpkypeN2dXyMiJhUIhR7yqlyu9tav2kmNlUgNsqw0fv+u7WuSyUXU6rB3LUgmk/T09LB8+XJisRhf+9rX2Lhx44i+Z3d3N93d3QAsXryYzs7OQX1dIBAY9HNrTb1mr9fcoOw7WdYf8PlSALjuobS1vYuROicON7caK5EaFIv9AMvaBkCxOIlM5mzDiWrb448/zvjx4xkzZgwAJ554Ik8//TTpdJpSqYTf7yeRSNDe3g6UR6K2bdtGR0cHpVKJdDpNS0uL9/hOA79md11dXXR1dXn11q1bB5W1s7Nz0M+tNfWavV5zg7LvZNu/IBgsH2cyM9m+fdubf8EwDCb3hAn7XktQc6xEak6BePxmr0omL0G/A725zs5Onn32WXK5HK7r8vjjj3PIIYdw9NFH89BD5csHa9asYfr06QC8613vYs2aNQA89NBDHH300ViWxfTp03nwwQcpFAps2bKFzZs3c/jhh5v6tkTkDZXzq2r3MiDobC1Sc6LRnxIIvAJAqdROJnOe4US1b8qUKcycOZN/+Zd/we/389a3vpWuri6OP/54li1bxg9/+EPe9ra3MWfOHADmzJnDN77xDa644gps2+aqq64CYNKkSZx00klcc801+Hw+Lr74Ynw+/f4pYlaWUOgRr6rV9at2UmMlUlNcbHvX3KpUagGuGzWYp36ce+65nHvuuRWPHXTQQXzlK1/Z47mhUIhrrrlmr68zb9485s2bNyIZReTAhUKPYllZAIrFyTW/pZd+FROpIeHw/QSDTwHgunFSqflmA4mIGBYO/847ruVlFnZSYyVSQwZutuw4F+O6bQbTiIiYp8ZKRIYkGOwhHH4YANcNUir9k+FEIiJmWVY/weBjALiuRS53kuFE+6fGSqRGDJxblcl8CDjEXBgRkRoQCv0eyyoBUCgcjevuffmTWqLGSqQGBAJPE43+r1cnk5cZTCMiUhsq9wes/cuAoMZKpCbY9k3ecSbzPorFqQbTiIjUhnrZH3AgNVYihvn9rxCN3uvV5e1rRESam8+3lWDwSQBcN0A+f4LhRIOjxkrEsHj8m1hWEYBcbiaFwnTDiUREzAuFBl4GPB7XjRtMM3hqrEQMsqwEsdj3vVqjVSIiZQOXWaiX+VWgxkrEqHj8O/h8aQAKhSPJ5eYYTiQiUgtcwuF1XpXLnWIwy4FRYyViiGWlicdv9eryaJVlLpCISI3w+/9CIPAyAI4TJ58/znCiwVNjJWJILPZD/P5eAIrFSWQyZxtOJCJSGyovA54IBM2FOUBqrESMKBCPr/SqZPIStCe6iEhZOPxb77ieLgOCGisRI6LRnxIIvAJAqdROJnOe4UQiIrXCqbgjUI2ViOyHW7F9TSq1ANeNGswjIlI7AoFN3jSJUqmTYvEIw4kOjBorkVEWDt9PMPgUAI4TI5WabzaQiEgNGTi/qrzaen3d1KPGSmSU2fZy7zid/iiu22YwjYhIbRk4v6qe1q/aSY2VyCgKBnsIhx8GwHWDJJMLDScSEaklWUKhh7wqlzvVYJahUWMlMooGzq3KZD6E40wwmEZEpLaEQo/i82UBKBbfRqk00XCiA6fGSmSUBAJPE43+r1dr+xoRkUqVyyzU32gVDGLhnBUrVrB+/XpaW1tZsmQJAHfddRf3338/Y8aMAeD888/n+OOPB+Dee+9l9erV+Hw+LrroIqZNmzZy6UXqiG3f5B1nMu+jWJxiMI2ISO2p5/WrdtpvYzV79mze//73s3z58orHzzzzTM4+u3Kl6JdffpkHH3yQr33ta/T29vLFL36R//f//h8+nwbGpLn5fK8Qjd7r1RqtEhGpZFnbCQYfA8B1feRyJxtONDT77XiOOuoobNse1Iv19PRw8sknEwwGGT9+PAcffDDPPffcsEOK1Dvb/iaWVQQgl5tJoTDdcCIRkdoSDj+IZbkAFArvxHVbDScamiHvoXHfffexbt06Jk+ezMc//nFs2yaRSDBlyq7LG+3t7SQSiaoEFalXlpUgFvu+V2u0SkRkT+HwOu+4Xi8DwhAbq9NPP51zzjkHgB/96EfccccdLFp0YD8suru76e7uBmDx4sV0dnYO+msDgcABPb9W1GtuUPbh8PluxudLA+A476Cl5VxaWva/4J3p3MNRz9lFxIxGmLgOQ2ysxo4d6x2fdtppfPWrXwXKI1Tbtm3z/iyRSNDe3r7X1+jq6qKrq8urt27dOuj37+zsPKDn14p6zQ3KPlSWlWb8+K97dV/fJWQy297kK3Zp9M98wgQtNSEiZX7/XwkEXgTAcaLk88ebDTQMQ5pV3tvb6x0//PDDTJo0CYDp06fz4IMPUigU2LJlC5s3b+bwww+vTlKROhSL/dDb86pYPIRM5uz9fIWISPMZeBkwnz8JCJsLM0z7HbFatmwZmzZtor+/n0svvZRzzz2XJ554ghdffBHLshg3bhwLF5ZXj540aRInnXQS11xzDT6fj4svvlh3BEoTKxCP3+xVyeSlDGNao4hIw2qU+VUwiLP8VVddtcdjc+bM2efz582bx7x584YVSqQRRKM/JRB4GYBSqZ1M5jzDiUREalGJcPgBr6rn+VWglddFRohbsX1NKrUA140azCMiUpuCwcfx+bYDUCodRLH4drOBhkmNlcgICIfvJxh8CgDHiZFKzTcbSESkRlVeBvx7YP93TdcyNVYiI2DgaFU6/VFct81gGhGR2lXZWNX3ZUBQYyVSdcFgD+HwHwBw3SDJ5ELDiUREapNlpQiFHvHqep+4DmqsRKpu4GhVJvMhHEfrNYmI7E0o9BCWVQCgUDgSxznIcKLhU2MlUkWBwNNEo//r1dq+RkRk3xppmYWd1FiJVJFt3+QdZzLvo1ic8ibPFhFpbpWN1SyDSapHjZVIlfj9rxCN3uvVGq0SEdk3n+9VgsFnAHDdMPn8iYYTVYcaK5Eqice/iWUVAcjlZlIoTDecSESkdg3cdDmfP6Fh1vpTYyVSBZaVIBb7vldrtEpE5M2Fw2u942y2MS4DghorkaqIx7+Dz5cGyne25HL73vZJRESchlu/aic1ViLDZFlp4vFbvbo8WlXfKweLiIykYPBP+P29AJRK4ygWjzScqHrUWIkMUyz2Q+8EUSweQiZztuFEIiK1beBlwPIyC43TjjTOdyJiRIF4/GavSiYvBQLm4oiI1IHKxqpx5leBGiuRYYlGf0Yg8DIApVI7mcx5hhOJiNQ2y0oSCvV4dSPNrwI1ViLD4FZsX5NKLWiY24VFREZKKPSgtzRNoXAUjjPecKLqUmMlMkTh8GqCwScBcJwYqdR8s4FEROpAJLLGO85mZxvLMVLUWIkMkW0v947T6Qtw3TaDaURE6kMjz68CNVYiQxIMPkI4/AcAXDdAMrnQcCIRkdrn9/+FQOBFABwnSj4/w2ygEaDGSmQIBs6tymQ+hONMNJhGRKQ+hMNrvON8/iQgbCzLSFFjJXKAAoFniEbv82ptXyMiMjiVlwFnmwsygtRYiRwg277JO85kTqdYnGowjYhIvSgQDj/gVY20P+BAaqxEDoDP9wrR6D1enUxebjCNiEj9CIUexedLAuVdKkqlwwwnGhlqrEQOgG1/01t/JZc7kUJhuuFEIiL1IRz+jXdcvgzYmHuqqrESGSTLShCLfd+rNVolIjJ4Ayeu53LvMRdkhKmxEhmkePw7+HxpAAqFI8nl5hhOJCJSH3y+1wmF/gSUl6jJ5d5tONHIUWMlMgiWlSEe/7ZXl+8EbMxhbBGRaht4N2A+Px3XbTGYZmSpsRIZhGj0h/j9CaA86TKTOdtwIhGR+lF5GXC2sRyjQY2VyH4VsO2VXpVMXgoEzMUREakrTlOsX7WTGiuR/YhGf0Yg8DIApVI7mcx5hhOJiNSPYPBxb8S/VOqkUDjacKKRpcZK5E25FdvXpFILcN2owTwiIvUlHF7tHedyp9LorUdjf3ciwxQOryYYfBIAx4mRSn3CcCIRkfoSiazxjpvhbmo1ViJvYuBoVTp9Aa7bbjCNiEh9saxegsH1ALiuRS7XmNvYDKTGSmQfgsFHCIcfAsrrriSTCw0nEhGpL+Hwb7EsB4BCYRqO0/i/nKqxEtmHgaNVmcyHcJyJBtOIiNSfSGTgNjaNu9r6QGqsRPYiEHiWaPQ+ry4vCCoiIoPnVqxflc3ONpZkNKmxEtmLytGq0ykWpxpMIyJSfyzrj/j9WwBwnLEUCtPMBholaqxEduPzvUI0eq9Xa7NlEZEDZ1n/6x1ns7MAv7kwo0iNlchubPtbWFYBgFzuRAqF6YYTiYjUH5/vf7zjRl9tfSA1ViIDWFYvsdj3vFpzq0REDpxl9WFZv/fqZpm4DmqsRCrE47fj86UBKBSOIJc7zXAiEZH6U15moQRAPn8sjjPOcKLRo8ZK5A2WlSEe/7ZXl0erLHOBRETqVCQycBubxl9tfSA1ViJviEZ/6G0UWiweQiZztuFEIiL1yCUc3rV+VTarxkqkCRWw7ZVelUxeCgTNxRERqVOBwBPeMgulUlvTLLOwkxorESAa/RmBwMsAlErtZDLnGU4kIlKfKi8DzqZZllnYSY2VCG7FgqCp1AJcN2owj4hI/QqHBzZWzXM34E5qrKTphcOrCQafBMBxYqRS880GEhGpU5bVSyj0KACuazXV+lU7qbGSpmfby73jdPoCXLfNYBoRkfoVDq/DshwAXHcGjtNhONHoU2MlTS0YfIRw+A8AuG6AZHKh4UQiIvUrErnfO3ac9xtMYo4aK2lqlZstfwjHmWgwjYhIPStVLLPguv9gMIs5aqykaQUCzxCN3ufV2r5GRGTogsHHvLUAS6VxuO40s4EMUWMlTcu2b/KOM5nTKRanGkwjIlLfBl4GLN8N2JwtRnN+19L0fL5XiEbv8WqNVomIDM/AZRay2ebdZzWwvyesWLGC9evX09raypIlSwC48847efTRRwkEAhx00EEsWrSIeDzOli1buPrqq5kwYQIAU6ZMYeFCTQaW2mPb38KyigDkcidSKMwwnEhEpH75fFsIhf4IlG8EyuVOxbYNhzJkv43V7Nmzef/738/y5btuST/22GO54IIL8Pv9fPe73+Xee+/lwgsvBODggw/mhhtuGLnEIsNkWb3EYt/zao1WiYgMz8BJ6/n8DFx3jME0Zu33UuBRRx2FvVvb+c53vhO/v7xE/dSpU0kkEiOTTmQExOO34/OlASgUjiCXa94haxGRaohEur3jZr4MCIMYsdqf1atXc/LJJ3v1li1b+NznPkc0GuW8887jyCOPHO5biFSNZWWIx7/t1eXRKstcIBGRupcnHF7nVblcl8Es5g2rsbrnnnvw+/2ccsopALS1tbFixQpaWlp4/vnnueGGG1iyZAmxWGyPr+3u7qa7u9zhLl68mM7OzsGHDgQO6Pm1ol5zQ+Nk9/lu8m4Hdt1DiccXEI8HTcbbp0b5zEWksYVCf8DnSwJQLB5KsXi44URmDbmxWrNmDY8++ijXX389llX+jT8YDBIMln9ITZ48mYMOOojNmzdz2GGH7fH1XV1ddHXt6mq3bt066Pfu7Ow8oOfXinrNDY2Svcj48Uu8x3fs+BSpVJ+5YPvRGJ/5vu28yUVE6tuelwGb+yrAkJZb2LhxIz/5yU/4l3/5F8LhsPf4jh07cJzyHkF/+9vf2Lx5MwcddFB1kooMUzT6MwKBlwAoldpIp88znEhEpP5Vrl/V3POrYBAjVsuWLWPTpk309/dz6aWXcu6553LvvfdSLBb54he/COxaVmHTpk3cdddd+P1+fD4fn/rUp/aY+C5ihlux2XIqtQDX3fMStYiIDJ7f/2cCgRcAcJwoudxJhhOZt9/G6qqrrtrjsTlz5uz1uTNnzmTmzJnDDiVSbeHwbwgGnwTK//OnUvPNBhIRaQCVo1WnABFzYWqEVl6XpjBwtCqd/iiu224wjYhIY9BlwD0Ne7kFkVpnWQ8RCj0ElFcETia1G0AjSqVSrFy5kpdeegnLsrjsssuYMGECS5cu5fXXX2fcuHFcffXV2LaN67rcdtttbNiwgXA4zKJFi5g8eTJQvjHnnnvK2x3NmzeP2bNnG/yuRGqXZe3wzq2g9at2UmMlDc/v/y/vOJP5EI4z0WAaGSm33XYb06ZN45//+Z8pFovkcjnuvfdejjnmGObOncuqVatYtWoVF154IRs2bOC1117jxhtv5Nlnn+WWW27hy1/+MslkkrvvvpvFixcDcO211zJ9+nTNFRXZi3B4rbc1WD5/DI7zFsOJaoMuBUpDCwSewef7mVcnk5cZTCMjJZ1O8+STT3rzPwOBAPF4nJ6eHmbNmgXArFmz6OnpAeCRRx7h1FNPxbIspk6dSiqVore3l40bN3Lsscdi2za2bXPssceyceNGU9+WSE0buMxCsy8KOpBGrKSh2fZN3nEmczrF4tsNppGRsmXLFsaMGcOKFSv4y1/+wuTJk5k/fz59fX20tbUBMHbsWPr6yuuWJRKJigVMOzo6SCQSJBIJOjo6vMfb29u1ZZfIXpUIh1d7VTarxmonNVbSsHy+V4hG7/VqbbbcuEqlEi+88AILFixgypQp3HbbbaxatariOZZleYsZV8NQd4+o51Xp6zV7veaG2s1uWQ8N2MXiYFpb57D7RbBazb4/w82txkoalm1/C8sqAJDLnUihMMNwIhkpHR0ddHR0MGXKFKC89MuqVatobW2lt7eXtrY2ent7GTNmDFAeiRq4Mvy2bdtob2+nvb2dTZs2eY8nEgmOOuqovb7nUHePaPQV9WtRveaG2s3e0nI3b2y0Qjr9Hvr69hzZrdXs+zPcnSM0x0oakmX1Eot9z6s1WtXYxo4dS0dHB6+++ioAjz/+OIcccgjTp09n7dq1AKxdu5YZM8rN9fTp01m3bh2u6/LMM88Qi8Voa2tj2rRpPPbYYySTSZLJJI899hjTpk0z9W2J1CzNr9o3jVhJQ4rHv4PPlwbAcY7W+ipNYMGCBdx4440Ui0XGjx/PokWLcF2XpUuXsnr1am+5BYDjjjuO9evXc+WVVxIKhVi0qNx427bNhz/8Ya677joAzjnnHN0RKLIbv/9lb8Fl1w29sTCo7KTGShqOZWWIx2/1asf5DM2+KWgzeOtb3+otkzDQ9ddfv8djlmXxyU9+cq+vM2fOnH3uLiEiEA7/2jvO5f4e140bTFN7dClQGk40+iNvUmWxOBHH+UfDiUREGkck8r/ese4G3JMaK2kwRWx7pVelUpcCQXNxREQaiGX1Ew7/3qvVWO1JjZU0lGj0ZwQCLwFQKrWRTp9nOJGISOMor7Zevtu6UDhaO1nshRoraSBuxWbLqdQCXDdmMI+ISGOpvAz4XoNJapcaK2kY4fBvvDtVHCdKKjXfbCARkYay+2rrpxvMUrvUWEnDsO0V3nE6fQGu224wjYhIYwmFHsXv7wWgVDqIQuEYw4lqkxoraQjB4KPehErXDZBKXWI4kYhIY9nzbkC1EHujT0UawsDRqkxmLqWSJlSKiFRTJHKfd6zLgPumxkrqXiDwLNHo/3i1tq8REakuv/85AoHngfIc1lzu3YYT1S41VlL3bPsm7zibfS/F4tsNphERaTyRyMDV1mcDUWNZap0aK6lrPt+rRKP3eHV//+UG04iINKbKy4BaZuHNqLGSumbb3/IWq8vlTqRQmGE4kYhIY/H5thEKPQKA6/rI5bTa+ptRYyV1y7J6icW+69WaWyUiUn3hcDeW5QKQz0/HcToMJ6ptaqykbsXj38HnSwNQKBxBLnea4UQiIo2ncpkF3Q24P2qspC5ZVoZ4/FavLo9WWeYCiYg0IMvKEA6v8Wo1VvunxkrqUjT6I/z+BADF4kQymbMNJxIRaTyh0G/x+bIAFAqHUyodZjhR7VNjJXWoiG2v9KpU6lIgaC6OiEiDqrwb8P0Gk9QPNVZSd6LRnxEIvARAqdRGOn2e4UQiIo2oVLF+lS4DDo4aK6kzLra93KtSqQW4bsxgHhGRxlTedHkbAKXSeAqF4wwnqg9qrKSuhMO/IRh8Eihvq5BKzTcbSESkQUUiu7YKKy8KqpZhMPQpSV0ZuNlyOn0BrttuMI2ISKNyd5tf9T6DWeqLGiupG8Hgo4TDvwfAdQOkUpcYTiQi0pgCgWcIBF4EwHHi2nT5AKixkroxcLQqk5lLqTTRYBoRkcYVifzKO87l3gNEzIWpM2qspC4EAs8Sje663q/ta0RERk7lZcB/MJik/qixkrpg2zd5x9nseykW324wjYhI4/L7XyEU+iMArhskm51jOFF9UWMlNc/ne5Vo9B6vTiYvN5hGRKSxDRytyuVOxnXHGExTf9RYSc2z7W9hWQUAcrkTyOdnGE4kItK4Bs6v0mrrB06NldQ0y+olFvueV2tulYjIyLGsBKHQH7xaq60fODVWUtPi8e/g86UAKBTeTi53muFEIiKNKxLpxrJKAOTzx+E4BxtOVH/UWEkNyxCPf9uryqNV+icrIjJSKi8DnmEwSf3STympWbHYj7x9qorFiWQyHzScSESkcVlWikhknVdnMppfNRRqrKRGFbHtm72qvMp60FwcEZEGFw7/BsvKAlAoHEGpNNlwovqkxkpqUjT6cwKBvwJQKrWRTp9vOJGISGOr3HRZo1VDpcZKapCLbS/3qlRqAa4bM5hHRKTR5YlEur0qk9Fq60OlxkpqTji8hmBwEwCOEyWVmm82kIhIgwuHH8Dn6wegWDyUYvFow4nqlxorqTkDR6vS6Qtw3XaDaUREGt+ei4Ja5sLUOTVWUlOCwUcJh38PgOsG3pi0LiIiI6e02/wqLbMwHGqspKbY9grvOJOZS6k00WAaEZHGFwo97C1tUyqNJ59/l+FE9U2NldSMQOBZotFdvzUlk5cZTCMi0hwikV96x+XLgGoNhkOfntQM277JO85m30uxeITBNCIizcAhGt3VWGUyugw4XGqspCb4fK8Sjd7j1cnk5QbTiIg0h2BwI37/a0B5zcB8/iTDieqfGiupCbb9LSyrAEAuN4N8fobhRCIijW/gaFU2+z4gYC5Mg1BjJcZZ1nZise95tUarRERGg7vb/CotCloNaqzEuHj8O/h8KQAKhbeTy51mOJGISOMLBJ4gEPgLAI7TQi53iuFEjWFQY34rVqxg/fr1tLa2smTJEgCSySRLly7l9ddfZ9y4cVx99dXYto3rutx2221s2LCBcDjMokWLmDxZGznKvmSIx2/1qmRyEer3RURGXjT6C+84m30vEDYXpoEM6ifY7Nmz+fznP1/x2KpVqzjmmGO48cYbOeaYY1i1ahUAGzZs4LXXXuPGG29k4cKF3HLLLVUPLY0jFvuRt35KsTiRTOaDhhOJiDQDl2j0516VzZ5pMEtjGVRjddRRR2HbdsVjPT09zJo1C4BZs2bR09MDwCOPPMKpp56KZVlMnTqVVCpFb29vlWNLYyhi2zd7VXmV9aC5OCIiTSIQeJpA4HkAHCdGNjvLcKLGMeRrLn19fbS1tQEwduxY+vr6AEgkEnR2dnrP6+joIJFIDDOmNKJo9OcEAn8Fyrf5ptPnG04kItIcBl4GzOW6gKi5MA2mKvdVWpaFZR3Yho3d3d10d3cDsHjx4opmbH8CgcABPb9W1GtuGInsLoHAzQPqy+noOLSKr79LvX7u9Zob6ju7SDOIRHY1VpmMLgNW05Abq9bWVnp7e2lra6O3t5cxY8YA0N7eztatW73nbdu2jfb29j2+vquri66uLq8e+DX709nZeUDPrxX1mhuqnz0c/g0dHX8EwHGibNnyEVx3ZD6bev3c6zU3DC77hAkTRimNiAwUCDxHMPg0AI4TIZebYzhRYxnypcDp06ezdu1aANauXcuMGTO8x9etW4frujzzzDPEYjHvkqHITra93DtOpy/AdfdsvkVEpPoikZ95x7ncHFw3ZjBN4xnUiNWyZcvYtGkT/f39XHrppZx77rnMnTuXpUuXsnr1am+5BYDjjjuO9evXc+WVVxIKhVi0aNGIfgNSf4LB9YTDvwfAdQOkUgsNJxIRaR4D51dlMmcZTNKYBtVYXXXVVXt9/Prrr9/jMcuy+OQnPzmsUNLYbHuFd5zJfJBS6RCDaUREmkf5MuCTALhu5I2J61JNWolRRlUg8CzR6K+8urwgqIiIjIaBlwGz2ffgunGDaRqTGisZVbZ9k3eczXZRLB5hMI2ISHOpXG1dlwFHghorGTU+36tEo/d4dTL5aYNpRESai98/8DJgmGxWlwFHghorGTW2/S0sqwBALjeDfH6G4UQiIs2jcgub9+C69ps8W4ZKjZWMCsvaTiz2Pa9OJi83mEZEpPlUNla6DDhS1FjJqIjHv4PPlwKgUHg7udxphhOJiDSPQODZirsBs9n3Gk7UuNRYySjIEI/f6lXlOwH1T09EZLREIgNHq+boMuAI0k83GXGx2I/w+7cBUCxOIJP5oOFEIiLNJRrdtcyCFgUdWWqsZIQVse2VXpVKXQoEzcUREWkygcDTu+0NqMuAI0mNlYyoaPTnBAIvAVAqtZFOn284kYhIcxk4WpXLdWlvwBGmxkpGkLvbZssX6X9oEZFR5Vastp7JfMBgluagxkpGTDi8hmBwEwCOEyWVushwIhGR5hIIbCIYfA4Ax4npjuxRoMZKRkzlaNUFOE67wTQiIs0nGv2pd5zNno7rRg2maQ5qrGREBIPrCYd/D4DrBkilFhpOJCLSbNyKxkp3ZI8ONVYyImx7hXecyXyQUukQg2lERJpPMLiRQOCvADjOGHK5WYYTNQc1VlJ1gcBzRCL/49XlBUFFRGQ0RaM/8Y6z2fcDYXNhmogaK6m6ePwmLMsFIJvtolg8wnAiEZFm4+y2KKguA44WNVZSVT7fZmKx//ZqbbYsIjL6QqEe/P7XACiV2snl3m04UfNQYyVVZdvfwrIKAOTz08nnTzCcSESk+USjq7zjbPYMtOPF6FFjJVVjWduJxb7r1f39Gq0SERl9hYpNlzOZueaiNCE1VlI18fh38PlSABQKU8nlugwnEhFpPuHw7/D7EwCUSgeTz59oOFFzUWMlVZIhHr/Vq8p3Auqfl4jIaBt4GTCTORudi0eXPm2piljsR/j92wAoFido6FlExIhMxXI3OhePPjVWUgVFbPtmr0qlLkETJUVERl8kshqfLwlAsfhWCoVjDSdqPmqsZNii0Z8PWN13LOn0BYYTiYg0p8rLgHMBy1SUpqXGSobJrdhsOZVagOvGDOYREWlOlrWDSOR+r9ZlQDPUWMmwhMNrCAY3AeA4UVKpiwwnEhFpTpHIr7CsHAD5/DsoFqcYTtSc1FjJsAwcrUqnL8Bx2g2mERFpXrHYvd5xJvMhg0mamxorGbJgcD3h8O8BcF0/qdRCw4lERJqTz/c3QqEHAHBd641lFsQENVYyZLa9wjvOZOZSKh1iMI2ISPOKRn+GZTkA5PMzcZwJhhM1LzVWMiSBwHMVa6WUFwQVERETolFdBqwVaqxkSOLxm7AsF4Bstoti8QjDiUREmpPf/2dCoY0AuG6QTOYMs4GanBorOWA+32Zisf/26mRSmy2LiJgycNJ6NnsarttmMI2osZIDZtu3YFkFAHK5GeTzJxhOJCLSrNzdLgPOM5hFQI2VHCDL2k4sdqdXa26ViIg5weB6AoEXAXCcMWSzp5kNJGqs5MDE43fg86UAKBSmkst1GU4kItK8YrF7vONM5kwgYi6MAGqs5IBkiMdv8aryaJX+CYmImFEgEvmpV+kyYG3QT0UZtFjsLvz+bQAUixO0D5WIiEHh8Br8/gQApdJbyOdnGk4kAAHTAaReFLHtm70qlboECJqLI7IXjuNw7bXX0t7ezrXXXsuWLVtYtmwZ/f39TJ48mSuuuIJAIEChUOAb3/gGzz//PC0tLVx11VWMHz8egHvvvZfVq1fj8/m46KKLmDZtmtlvSmQfYrG7veN0eh4aK6kN+luQQfH57iEQ+AsAjjOWdPoCw4lE9vTLX/6SiRMnevV3v/tdzjzzTL7+9a8Tj8dZvXo1AKtXryYej/P1r3+dM888k+9973sAvPzyyzz44IN87Wtf4wtf+AK33norjuMY+V5E3oxl9RGJ/NqrM5kPG0wjA6mxkkFw8fn+y6tSqYtw3ZjBPCJ72rZtG+vXr+e008p3RbmuyxNPPMHMmeXLI7Nnz6anpweARx55hNmzZwMwc+ZM/vSnP+G6Lj09PZx88skEg0HGjx/PwQcfzHPPPWfk+xF5M9HoL7CsHAD5/DsoFt9uOJHspMZK9iscXovP9xgAjhMhlVpgOJHInm6//XYuvPBCLMsCoL+/n1gsht/vB6C9vZ1EojwfJZFI0NHRAYDf7ycWi9Hf31/x+O5fI1JLotFdizRrtKq2aI6V7Jdtf8M7Tqc/iuO0G0wjsqdHH32U1tZWJk+ezBNPPDEq79nd3U13dzcAixcvprOzc1BfFwgEBv3cWlOv2es1N+wr+4uEQg8B4Lo+otEFRKO19/3V6+c+3NxqrORNBYMbCId/D4Dr+kmlFhpOJLKnp59+mkceeYQNGzaQz+fJZDLcfvvtpNNpSqUSfr+fRCJBe3v5l4L29na2bdtGR0cHpVKJdDpNS0uL9/hOA79md11dXXR17VrHbevWrYPK2tnZOejn1pp6zV6vuWHv2W37VkKh8nEudyqJRACove+vXj/3weSeMGHCPv9MlwLlTdn2cu84k5lLqXSIwTQie3fBBRewcuVKli9fzlVXXcU73vEOrrzySo4++mgeeqj8m/2aNWuYPn06AO9617tYs2YNAA899BBHH300lmUxffp0HnzwQQqFAlu2bGHz5s0cfvjhpr4tkb1wicV+7FW6DFh7NGIl+xQIPEck8j9ere1rpN589KMfZdmyZfzwhz/kbW97G3PmzAFgzpw5fOMb3+CKK67Atm2uuuoqACZNmsRJJ53ENddcg8/n4+KLL8bn0++fUjvKW9i8AIDj2GSz/2A4kexOjZXsUzx+E5blAuA4Z1AsHmE4kcj+HX300Rx99NEAHHTQQXzlK1/Z4zmhUIhrrrlmr18/b9485s3TCtZSmypHq87CdaMG08je6Fcx2SufbzOx2K67TkqlzxhMIyIikCMaHbiFzT8azCL7osZK9sq2v4VlFQDI5Wbguu82nEhEpLlFIr/G5+sDoFicRD5/guFEsjdqrGQPlrWdWOy7Xq25VSIi5lVeBjwH/QivTfpbkT3E43fg86UAKBSmkst17ecrRERkJPl8rxMO/8ar02ndDVir1FjJbjLE47d4VXm0Sv9MRERMikbvwbJKAORyJ1Aqvc1wItkX/cSUCrHYXfj95QUSi8UJZDJzzQYSEWl6LrHYXV6VTn/EYBbZnyEvt/Dqq6+ydOlSr96yZQvnnnsuqVSK+++/nzFjxgBw/vnnc/zxxw8/qYyCIrZ9s1eVV1kPmosjIiIEg48TDD4FgONEyWbPMpxI3syQG6sJEyZwww03AOA4DpdccgknnHACv/nNbzjzzDM5++yzqxZSRkck8gsCgb8A4DhjSacvMJxIRESi0V2jVdnsGbiubTCN7E9VLgU+/vjjHHzwwYwbN64aLydGuLS07Nq+JpW6CNeNG8wjIiKQIxa716vS6XMNZpHBqMrK6w888ADvfveudY7uu+8+1q1bx+TJk/n4xz+Obau7rnXh8FqCwScAcJwIqdQCw4lERMSyfoHPtx2AYnEi+fzJZgPJfg27sSoWizz66KNccEH5stHpp5/OOeecA8CPfvQj7rjjDhYt2nMdpO7ubrq7uwFYvHgxnZ2dgw8dCBzQ82tFLecOBL7lHbvuAtrbp+7257WbfX/qNXu95ob6zi5SS/z+273j8krruues1g27sdqwYQNve9vbGDt2LID3X4DTTjuNr371q3v9uq6uLrq6dq2PtHXr1kG/Z2dn5wE9v1bUau5gcAPjxq0BwHX9bN36cUqlypy1mn0w6jV7veaGwWWfMGHCKKURqU8+32Ys69derbsB68OwW9/dLwP29vZ6xw8//DCTJk0a7lvICLPtFd5xJvNBSiX9nYmImBaL3Y1lOQDkcidTKh1qOJEMxrBGrLLZLH/84x9ZuHCh99h3v/tdXnzxRSzLYty4cRV/JrXH73+OSORXXq3ta0REaoFLLPZDr0qnzzOYRQ7EsBqrSCTCt7/97YrHrrjiimEFktFl2yuxLBeAbPY0isUjDScSEZFQqIdA4EUAHKeFbPYMs4Fk0DQLron5fJuJxe726mTy0wbTiIjITrHYD7zjTOZsXDdqMI0cCDVWTcy2b8GyCgDk89PJ508wnEhERCyrn0jkZ16ty4D1RY1Vk7Ks7cRid3p1f//lBtOIiMhO0ehP8PkyADjO0RQKxxlOJAdCjVWTisfvwOdLAVAoTCWX69rPV4iIyGgYOGndceYDlrEscuDUWDWlDPH4LV6VTF6G/imIiJgXCDxJKLQBANcN4Tjas7Xe6KdpE4rF7sLv3wZAsTiBTGau2UAiIgJUTlrPZt8HaAeDeqPGqukUse2VXpVKLQRC5uKIiMgbssRi/+1V6fT5BrPIUKmxajKRyC8IBP4KgOOMJZ3WMLOISC2IRn81YMPlQ8jl/t5sIBkSNVZNxaWlZblXpVIX4bpxg3lERGSnWOx73nF5iQW/uTAyZGqsmkg4vJZg8AkAHCdCKrXAcCIREQHw+58nHP49AK7r04bLdUyNVROx7V2jVen0BThOu8E0IiKy08BJ67ncaTjOBINpZDjUWDWJYHAD4fCDALiu/41J6yIiYl6BWOwur0qlNPe1nqmxahK2vcI7zmQ+SKk0yWAaERHZKRK5D79/KwCl0sHkcnMMJ5LhUGPVBPz+54hEfuXVyeQig2lERGSgPSetB8yFkWFTY9UEbHslluUCkM3OoVg80nAiEREB8PtfJBJZB+yctK7LgPVOjVWD8/k2E4vd7dXJ5KcNphERkYFise97x7nceyiVJhpMI9WgxqrB2fYtWFYBgHz+XeTzJxhOJCIiZXlisR95VSp1ocEsUi1qrBqYZW0nFrvTq5PJy9Eu6SIitSES+R9NWm9AaqwaWDx+Bz5fCoBCYSrZ7HsNJxIRkZ3i8V2/+JbnVmnSeiNQY9WwMsTjt3pVMnkZ+usWEakNgcBzu60tqEnrjUI/aRtULHaXN8RcLE4gk5lrNpCIiHgGTtPIZt+L47zFYBqpJjVWDamIbd/sVeVV1kPm4oiIiMeyMsRiP/bqdPrjBtNItamxakCRyC8IBP4CgOOM1booIiI1JBL5KT5fHwDF4lvJ5U4xnEiqSY1Vw3Fpadm12XIqNR/XjRvMIyIiA8Xjd3jH5SUW9KO4kehvs8GEw2sJBp8AwHEipFILDCcSEZGdgsGNhEIbAXDdMJnMR8wGkqpTY9VgbHvXaFU6fT6O02EwjYiIDBSPf8c7zmQ+gOO0G0wjI0GNVQMJBjfsdvvuJYYTiYjITpaVIBr9qVenUp8wmEZGihqrBmLbK7zjTOaDlEqTDKYREZGBYrG7sKwsAPn8sRQKxxlOJCNBjVWD8PufIxL5lVcnk4sMphERkUrObpPWP4G2GGtMaqwahG2vxLJcALLZORSLRxpOJCIiO4XDv6lYBieb/aDhRDJS1Fg1AJ9vM7HY3V6dTH7aYBoREdldPH67d5xOn4vrRs2FkRGlxqoB2PYtWFYBgHz+XeTzJxhOJCIiO/n9LxCJrAbAdS1SqflmA8mIUmNV5yxre8WeU/39n0bX7UVEasfA0apc7jRKpb8zF0ZGnBqrOheP34HPlwKgUJhKLtdlOJGIiOxkWSlisbu8OpW6yGAaGQ1qrOpahnj8Vq9KJi9Df6UiIrUjGv1vfL4dABSLbyOXO9VwIhlp+ilcx2KxH+P3bwWgWJxAJjPXbCARERnAJR7/tleV51bpx26j099w3Spi2yu9KpVaCITMxRERkQrh8G8JBp8FwHHipNPaF7AZqLGqU5HILyrWREmnLzCcSEREBho4VSOd/giu22IwjYwWNVZ1ya3YviaVugjXjRvMIyIiA/n9LxAO3+/VmrTePNRY1aFweB2h0J8AcJwIqdQCw4lERGSgePy2it0wSqXJhhPJaFFjVYdse7l3nE5fgOO0G0wjIiIDWVY/sdiPvDqV+qTBNDLa1FjVmWBwI+HwAwC4rv+NSesiIlIrYrEf4PMlASgUppDLnWI4kYwmNVZ1ZuBoVSbzQUqlSQbTiIhIpdJuSyx8Ev2obS76264jfv9zRCK/8upkcpHBNCIisrtI5H8IBF4CoFRqI53+sOFEMtrUWNUR2765YjJksXik4UQiIjJQPP4t7zid/hgQNRdGjFBjVSd8vteIxe726mTy0wbTiIjI7spzYHsAcN0gqdQnDCcSE9RY1QnbvgXLygOQz7+LfP4Ew4lERGQg277ZO85kPoDjHGwwjZiixqoOWFYfsdidXp1MXg5Y5gKJiEgFv/9lIpFfeHUyeYnBNGKSGqs6EI/fMeDW3alks+81nEhERAaKx2/FskoA5HLvplh8h+FEYooaq5qXIR6/xauSycvQX5uISO2wrB3EYt/36mRS6ws2M/2ErnGx2I/x+7cCUCq9hUxmrtlAIiJSIRb7/oCrCoeTy80xnEhMUmNV04oVkyHLvwWFzMUREZHd5LHtXUsslHfD0I/WZqa//RoWifyCQOBFABxnLOn0R80GEhGRCtHoT/D7XwOgVBqnBUGFwHBf4PLLLycSieDz+fD7/SxevJhkMsnSpUt5/fXXGTduHFdffTW2bVcjbxNxse0VXpVKzcd14wbziIhIJbfiqkIqdREQMRdHasKwGyuA//t//y9jxozx6lWrVnHMMccwd+5cVq1axapVq7jwwgur8VZNIxxeRyj0JwAcJ0IqtcBwIhERGSgcXkMw+CQAjhMjlfq44URSC0bkUmBPTw+zZs0CYNasWfT09IzE2zS0gZstp9Pn4zgdBtOIiMjubPsm7zidPh/XbTOYRmpFVUasvvSlLwHw3ve+l66uLvr6+mhrK/8DGzt2LH19fdV4m6ZR3hbhAQBc108qpYXmRERqyZ7n6U8ZTiS1YtiN1Re/+EXa29vp6+vjP/7jP5gwYULFn1uWhWXtuUp4d3c33d3dACxevJjOzs5Bv2cgEDig59eKweYOBHatW+U4/0hb23EjGWtQ6vUzh/rNXq+5ob6ziwzGwKsKmcwHKZUmGUwjtWTYjVV7ezsAra2tzJgxg+eee47W1lZ6e3tpa2ujt7e3Yv7VTl1dXXR1dXn11q1bB/2enZ2dB/T8WjGY3H7/c4wfv8qrt227mGLR/Pdar5851G/2es0Ng8u++y9hIvXC7/8zkcivvLq8cLNI2bDmWGWzWTKZjHf8xz/+kUMPPZTp06ezdu1aANauXcuMGTOGn7RJ2PbNWJYLQDY7h2LxKMOJRERkIJ2n5c0Ma8Sqr6+P//qv/wKgVCrx93//90ybNo3DDjuMpUuXsnr1am+5Bdk/n+81YrG7vbq82bKIiNSK8nn6x16t87TsbliN1UEHHcQNN9ywx+MtLS1cf/31w3nppmTbt2BZeQDy+XeRz59oOJGIiAxk298ccJ4+Xudp2YNWXq8RltVHLHanV5d/C9pz0r+IiJhhWYmK83R//xXoPC27U2NVI+LxOwZs4jmVbPa9hhOJiMhAtn0bPl8agELhSHK5rv18hTQjNVY1IUM8fqtXle8w0V+NiEitsKwk8fi3vTqZ/DQ6T8ve6F9FDYjFfozf/zoApdJbyGTmmg0kIiIVYrHv4vNtB6BYfCuZzFlmA0nNUmNlXLFiE89kciEQMhdHRER2k8G2V3pV+apCVTYukQakxsqwSOQXBAIvAuA4Y0mnP2o2kIiIVIjHf1BxVSGd/kfDiaSWqbEyysW2V3hVKjUf140bzCMiIpVyFefpZHIREDYXR2qeGiuDwuHfEgr9CQDHiZBKLTCcSEREBirPgd0MQKk0jlTqfMOJpNapsTLItr/hHafT5+M4HQbTiIhIpULFeTqZvBSImosjdUGNlSHB4EbC4QcAcF0/qdQlhhOJiMhAsdjdBAIvAVAqtZFOf8xwIqkHaqwMse3l3nEmczal0iSDaUREpFIB277Rq1KpSzUHVgZFjZUBfv+fiUR+5dXlyZAiIlIrotF7CAT+CpTv2E6l5psNJHVDjZUBtr0Sy3IByGbnUCweZTiRiIjsUqSlZddoVTJ5Ca5rG8wj9USN1Sjz+f5GLHa3V2u0SkSktkSj/12xvmAqdZHZQFJX1FiNsnj8FiwrD0A+fzz5/EzDiUREZJcCLS1LvSqZXIjrthjMI/VGa/KPqu3E43d4VXkTT8tcHJEGsXXrVpYvX8727duxLIuuri7OOOMMkskkS5cu5fXXX2fcuHFcffXV2LaN67rcdtttbNiwgXA4zKJFi5g8eTIAa9as4Z577gFg3rx5zJ492+B3JqMtFrur4k7AVOpiw4mk3qixGkU+37fw+ZIAFApTyGbfaziRSGPw+/187GMfY/LkyWQyGa699lqOPfZY1qxZwzHHHMPcuXNZtWoVq1at4sILL2TDhg289tpr3HjjjTz77LPccsstfPnLXyaZTHL33XezePFiAK699lqmT5+ObWt+TXPIYdv/z6tSqUWaWyUHTJcCR00Wv//rXlXexFMfv0g1tLW1eSNO0WiUiRMnkkgk6OnpYdasWQDMmjWLnp4eAB555BFOPfVULMti6tSppFIpent72bhxI8ceeyy2bWPbNsceeywbN2409W3JKIvFfkAg8AoApVKH7gSUIdFP9lESi/0Yy/obUN7EM5P5kOFEIo1py5YtvPDCCxx++OH09fXR1tYGwNixY+nr6wMgkUjQ2dnpfU1HRweJRIJEIkFHx64dENrb20kkEqP7DYgRlpXZ7U7ARbhuzGAiqVe6FDgqStj2Sq9KJj8FhMzFEWlQ2WyWJUuWMH/+fGKxyh+KlmVhWdWb09jd3U13dzcAixcvrmjU3kwgEBj0c2tNvWYfTG6f72v4/eVffl13AtHoPxONmt++pl4/c6jf7MPNrcZqFEQiv6i4dTedvtBsIJEGVCwWWbJkCaeccgonnngiAK2trfT29tLW1kZvby9jxowByiNRW7du9b5227ZttLe3097ezqZNm7zHE4kERx2193Xmurq66Orq8uqBr/dmOjs7B/3cWlOv2feX27L6GT/+P726r+/TpNMpIDUK6d5cvX7mUL/ZB5N7woQJ+/wzXQoccS62vcKrUqn52hZBpMpc12XlypVMnDiRs846y3t8+vTprF27FoC1a9cyY8YM7/F169bhui7PPPMMsViMtrY2pk2bxmOPPUYymSSZTPLYY48xbdo0E9+SjKJ4/Bb8/l4AisVJpNPnG04k9UwjViMsHP4todDjALhulFRqgeFEIo3n6aefZt26dRx66KF89rOfBeD8889n7ty5LF26lNWrV3vLLQAcd9xxrF+/niuvvJJQKMSiReWFem3b5sMf/jDXXXcdAOecc47uCGxwPl+iYqpGf/81aKqGDIcaqxFm29/wjh1nPo7T8SbPFpGhOOKII7jrrrv2+mfXX3/9Ho9ZlsUnP/nJvT5/zpw5zJkzp6r5pHbZ9tcrlsHJZOYZTiT1TpcCR1Aw+Bjh8AMAuK6fUukqs4FERMTj871CPP4dr+7v/xc03iDDpcZqBA0crcpkzgbeaiyLiIhUamlZimXlAMjnjyObfb/hRNII1FiNEL//z0Qiv/JqbbYsIlI7AoFnicV+5NU7dlyHthiTalBjNUJs+2YsywUgm51Dsbj3W7ZFRGT0tbR8GctyAMhmTyWff7fhRNIo1FiNAJ/vb8RiP/bqZPJyg2lERGSgUOhhotH/9eodO75gMI00GjVWIyAevwXLygOQzx9PPn+i4UQiIlLmMmbMF70qnZ5HsfgOg3mk0aixqjLL6iMev8Ory6NVum4vIlILIpFfEQqtB8B1Q/T3f85wImk0aqyqLB6/c8CaKIeTzZ5uOJGIiJTlGTPmS16VSn2CUmmSwTzSiNRYVVWWePwWryrfCaiPWESkFsTjdwzYt7WV/v5/MhtIGpJ+6ldRLPZj/P7XASiVDiaT+ZDhRCIiAmBZ22lpWerV/f3/hOu2GUwkjUqNVdWUKvabSiYXov2mRERqQ0vLjfh82wEoFv+OVGq+0TzSuNRYVUkk8ouKIeZ0+qNmA4mIyBueIx7/tleVFwMNm4sjDU2NVVW42PYKr0ql5uO6tsE8IiKyUyBwHZZVACCfn042e5bhRNLI1FhVQSj0W0KhxwFwnAip1MWGE4mICEAo9Dt8vp96dV/fv6ElcGQkqbGqgpaW5d5xJnMejtNhMI2IiJSVaG39V69Kp8+hUJhmLI00BzVWwxQMPkY4/DsAXNdPMnmp4UQiIgIQi32PYPBJABwnyo4d1xpOJM1AjdUw2fbA0aqztdiciEgNsKxexoz5qlcnk5fjOG8xmEiahRqrYfD7nycS+aVXlxcEFRER08aM+S9veQXXfSvJ5GVmA0nTUGM1DLa9EstyAchm51AsHmU4kYiIBAJPEovt2rO1WPxPIGIukDQVNVZD5PP9jVjsx15d3mxZRETMcmlt/QKW5QCQy52C655tOJM0EzVWQxSP34Jl5QHI548nnz/RcCIREYlG7yEc/gMArhugr+/f0fIKMprUWA2BZe0gHr/Tq8ujVfofV0TEJMvawZgx/+HVqdSnKBanGkwkzUiN1RDE43fg8/UDUChMIZs93XAiERFpafkv/P4tAJRKB9Pff5XZQNKU1FgdsCzx+C1eVb7TRB+jiIhJgcCfiMdv8+q+vuu1tZgYoY7gAMVid+P3vw6UfyPKZD5kOJGISLMrMXbstQMmrP892awmrIsZaqwOSAnbvsmrksmFQMhcHBERIRb7HqHQBgBcN8T27V9G817FFDVWByAS+SWBwIsAOE4r6fRHzQYSEWlyPt8Wxoz5ilcnk5+mVDrMYCJpdmqsBs2t2L4mlZqv6/ciIoa1tl6Pz7cDgGLxrfT3a01BMUuN1SCFQr8lFHocANeNkEotMJxIRKS5hcO/Jhr9mVdv374YrbAupqmxGqSWll2jVen0eThOp8E0IiLNzbJStLZ+3qvT6X8knz/FYCKRssBQv3Dr1q0sX76c7du3Y1kWXV1dnHHGGdx1113cf//9jBkzBoDzzz+f448/vmqBTQgGHyMc/h0ArusnmbzEcCIRkebW0rKYQOBVAEqldnbsuN5wIpGyITdWfr+fj33sY0yePJlMJsO1117LscceC8CZZ57J2Wc3zq2uA+dWZTIfoFQ61GAaEZHmFgr1VKxZtWPHv+I47eYCiQww5Maqra2NtrY2AKLRKBMnTiSRSFQtWK3w+58nEvmlVyeTiwymERFpdllaWz+DZbnlKjuHTGae4Uwiu1RljtWWLVt44YUXOPzwwwG47777+MxnPsOKFStIJpPVeAtjbHvlgP+B30OxeLThRCIizaulZRnB4HMAOE6cvr7FaM0qqSVDHrHaKZvNsmTJEubPn08sFuP000/nnHPOAeBHP/oRd9xxB4sW7TnK093dTXd3NwCLFy+ms3Pwk8EDgcABPX/oNhMM/tir/P7PD+t9Ry939Sn76KvX3FDf2aV2BYMbse0VXr1jxxcolSYaTCSyp2E1VsVikSVLlnDKKadw4oknAjB27Fjvz0877TS++tWv7vVru7q66Orq8uqtW7cO+n07OzsP6PlD1dLyn4RCeQDy+ePYuvVIYOjvO1q5R4Kyj756zQ2Dyz5hwoRRSiONIcvYsVdjWSUAcrmTSKc/ZjiTyJ6GfCnQdV1WrlzJxIkTOeuss7zHe3t7veOHH36YSZMmDS+hIZa1g3j8Tq9OJj+NhptFRMxoafkaweAzADhOjO3bl6AVg6QWDXnE6umnn2bdunUceuihfPaznwXKSys88MADvPjii1iWxbhx41i4cGHVwo6mePwOfL5+AAqFw8lmTzecSESkOQWDPRX7tJYvAf6dwUQi+zbkxuqII47grrvu2uPxel+zqixLPH6LV5XvBNRvRiIio82yUrS1XYVlOQDkcieTTn/ccCqRfVO3sBex2N34/a8DUCodTCbzIcOJRESa05gxXyQQeBEAx2lh+/Zl6EeX1DL969xDqWLIOZlcCITMxRERaVLh8P0Vc137+v5ddwFKzVNjtZtI5JcDfjtqJZ3+qNlAIiJNyOfbytix13h1JvMPZDL/aDCRyOCosargVmxfk0rNx3Vtg3lERJqRy9ix1+D3l5fsKJXG09f3VXRnttQDNVYDhEK/JRR6HADXjZBKLTCcSESk+cRi3yESud+rt29fhuN0GEwkMnhqrAZoadk1WpVOn4fjaOVoEZHRFAhsorX13706mfwkudwsg4lEDowaqzcEg48RDv8OANf1k0xeYjiRiEhzsaw0bW2XYVk5AAqFI9mx4zrDqUQOjBqrNwycW5XJfIBS6VCDaUREms+YMf/fgA2Wo/T2rgQiZkOJHCA1VoDf/zyRyC+9urwgqIiIjJZo9MfE4z/06r6+L1EsHm4wkcjQqLECbHslluUCkM2+h2LxaMOJRESaRyDwDK2tuy75pdPzyGTONZhIZOiavrHy+f5GLPZjr04mLzeYRkSkuZTnVS3E58sA5b1Z+/oWo6UVpF41fWMVj9+KZeUByOePI5+faTiRiEizcGlt/QzB4LMAOE6E3t6bcd244VwiQ9fUjZVl7SAev8Ory6NV+i1JRGQ0xOO3EIv9xKv7+r5CsXiEwUQiw9fUjVU8fic+Xz9QHn7OZt9nOJGISHMIhR5izJgvenUq9THNq5KG0MSNVZZ4/BavKt8J2MQfh4jIKPH7X6GtbSGWVQLK0zD6+v7NcCqR6mjaTiIWuxu/fwsApdLBZDIfMpxIRKTxWVaGtraL8fu3AVAqdZBI3AyEzQYTqZImbaxK2PZKr0omFwIhc3FERJqCS2vrZwfsyRqgt/ebOM5Ew7lEqqcpG6tI5FcEAi8A4DitpNMfNZxIRKTx2faNxGL3enVf37/rTmxpOE3YWLkV29ekUvNxXdtgHhGRxheJ/JwxY/7Tq1Opj5JOf9xgIpGR0XSNVSj0W0KhPwLguhFSqQWGE4mINLZgcCNjx/6TV+dyJ9PX9yW0vI00oqZrrFpaVnjH6fR5OE6nwTQiIo3N7/8r7e2fwOfLAlAsvo1E4ptA0GwwkRHSVI1VMPhHwuHfAuC6fpLJSwwnEhFpXJbVS3v7hfj9WwFwnLFs2/YdXLfNcDKRkdNUjdXAuVWZzAcolQ41mEZEpJFlaG9fQDD4ZwBcN0wicRul0mGGc4mMrKZprPz+54lEfuHV5QVBRUSk+oq0tS0iHH7Ye6S3dyn5/AkGM4mMjqZprGx7JZblApDNvodi8WjDiUREGpFLa+u1RKP/6z3S13c92ewHDWYSGT1N0Vj5fH8jFvuxV5c3WxYRkepyGTPmi8TjP/Ae6e9fRCql+azSPJqisYrHb8Wy8kB5TyotSCciUn22vQzbvtmr0+l/pL//8wYTiYy+hm+sLGsH8fgdXl0erdLaKSIi1RSPr2TMmP/y6kzmH9i+/b/Q+VaaTcM3VvH4nfh8/QAUCoeTzb7PcCIRkcYSj3+L1tYvenU2O4ve3uVAwFwoEUMavLHKEo/f4lXJ5GU0/LcsIjKK4vFbaW39V6/O5U6it/cWIGwsk4hJDf3rRCx2N37/FgBKpYPJZD5kOJGISOOIx1dWjFTlcieQSHwH140ZTCViVgM3ViVs+yavSiY/hX6DEhGpBhfbvrFiU+V8fjqJxJ24btxgLhHzGraxikR+SSDwIgCO00o6faHZQCIiDcFlzJj/wLZXeo/kcjNJJO5QUyVCwzZWLra9a7PlVOoTuK5tMI+ISCMo0tr62Yp1qnK5vyeRuE2X/0Te0JCNVSj0O0KhPwLguhFSqYsNJxIRqW+WlSYQ+BSh0C+9xzKZ979x91/EXDCRGtOQjVVLy67NltPpj+A4nQbTiIjUN59vG+3tn8Dn2+A9lk7/4xvrVDXkjxGRIWu4/yOCwT8SDv8WANf1kUxqKwURkaEKBJ6hvf0TBAJ/9R7r7/80/f3XosU/RfbUcI2Vbe8arcpkPkCp9HcG04iI1K9weA1tbZd6iyy7rkVf33+QTs83G0ykhjVUY+X3P08ksuv6fzK5yGAaEZF65WLbN9HS8hUsywHAcWKUSneSTmuvVZE301CNlW2v9E4C2ex7KBbfYTiRiEh9sawUY8d+hmj0p95jpdJb2LbtO4wdOwvYai6cSB1omMbK5/sbsdiPvVqjVSIiByYQeIq2toUEg3/2HsvlZtDb+00cZ7zBZCL1o2E2zovHb8Wy8gDk88eRz59kOJGISL1wicW+T2fnmRVNVSr1cbZtu0tNlcgBaIgRK8vaQTx+h1cnk5eju1VERPbPsnoZO/ZzRKO75qc6TpS+vsVkMucYTCZSnxqisYrH7/TuWikUDiObfZ/hRCIitS8c/jVjx37O26weoFCYSm/vzRSLUw0mE6lfDdBYZYnHb/Gq8tyqhrnCKSJSdZaVoLX134jF7q54PJX6BDt2/H+4btRQMpH6V/eNVSz2395vW6XSwWQyHzKcSESkVrlEo//NmDH/ht+f8B4tlcaxfft/ksudbjCbSGOo88aqVLHZcjL5KSBsLo6ISI0KBP5Ea+v1hMN/qHg8nf4QfX3/juu2G0om0ljqurGKRH5FIPAiAI7TSjr9UbOBRERqjM/3Gi0tXyMW+4G3zh9AsTiBvr4vaZRKpMrquLFyK0arUqmP47otBvOIiNQOy0pg298kHv8WPl/We9x1A6RSF9Pf/8+4btxgQpHGVLeNVSj0O0KhxwBw3Qip1MWGE4mImOfzbSUev4V4/Nv4fKmKP8tmZ7Njx79RLB5uKJ1I46vbxmrgaFU6fS6OM85gGhERswKBZ4jHbyEWuxvLylX8WT7/Dvr7v0Aud6qhdCLNoy4bK8taTySyDgDX9ZFMXmo4kYiICRmi0fuIxb5LOPz7Pf60UHg7/f3/RDb7AbQMjcjoqMvGyudb4h1nMh+gVPo7g2lEREZTnnD4ASKRnxON/sJbHLniGfl3kkxeRjZ7JmqoREbXiDVWGzdu5LbbbsNxHE477TTmzp1bldf1+1/A57vHq7XZsohU20idv4bK59tMOPxbwuE1RCJr8Pn69niO6/rJZt9HKrWAfH4m2tZLxIwRaawcx+HWW2/l//yf/0NHRwfXXXcd06dP55BDDhn2a9v2Su+W4Wx2NsXiO4b9miIiO43k+Wv/XHy+BIHAswSDfyIY/COhUA+BwF/3+RXF4ttIpz9MOn0ejvOWUcgoIm9mRBqr5557joMPPpiDDjoIgJNPPpmenp5hn5h8vi3EYj/26vJmyyIi1TNS5y+//2XC4bX4fCHi8e1YVh7L2oHPtx2fbwt+/2sEAn/F59u+39cqFieSzZ5BJvMBCoXj0eiUSO0YkcYqkUjQ0dHh1R0dHTz77LPDft14/Fbvbpd8/jjy+ZOG/ZoiIgON1PkrENjE2LGfA6C19cC+1nEiFArHk8vNfmOk/ijUTInUJmOT17u7u+nu7gZg8eLFdHZ27ucrcgSD3/cqy7qOzs76WmIhEAgM4vusTco++uo1N9R39sE60HOYZQ3u83DdOK47Bdc9FtedhutOx3WPw7JCRCIQiQw7+pDV699rveYGZTdhuLlHpLFqb29n27ZtXr1t2zba2yv3oerq6qKrq8urt27dut/X9ft/jm3fTDS6kddfPwnY/9fUks7OzkF9n7VI2UdfveaGwWWfMGHCKKU5MIM5f8GBn8MCgRbi8QuIRFrIZIpACMdpwXFacZwOSqUJlEoTcJyD2XM0ascwvqPqqdd/k/WaG5TdhOGev0aksTrssMPYvHkzW7Zsob29nQcffJArr7xy2K9bKv0dfX1fJhhsA3qHH1REZDcjdf4qFqfQ13cDwWAnO3bU3w8bERmcEWms/H4/CxYs4Etf+hKO4/Ce97yHSZMmVfMdqvhaIiK7jPz5S0Qa2YjNsTr++OM5/vjjR+rlRURGjM5fIjJUWpJXREREpErUWImIiIhUiRorERERkSpRYyUiIiJSJWqsRERERKpEjZWIiIhIlaixEhEREakSNVYiIiIiVaLGSkRERKRK1FiJiIiIVIkaKxEREZEqUWMlIiIiUiVqrERERESqRI2ViIiISJWosRIRERGpEjVWIiIiIlWixkpERESkStRYiYiIiFSJGisRERGRKlFjJSIiIlIlluu6rukQIiIiIo2gLkesrr32WtMRhqRec4Oym1CvuaG+s4+0ev5s6jV7veYGZTdhuLnrsrESERERqUVqrERERESqpC4bq66uLtMRhqRec4Oym1CvuaG+s4+0ev5s6jV7veYGZTdhuLk1eV1ERESkSupyxEpERESkFgVMBzgQGzdu5LbbbsNxHE477TTmzp1rOtI+bd26leXLl7N9+3Ysy6Krq4szzjiDZDLJ0qVLef311xk3bhxXX301tm2bjrsHx3G49tpraW9v59prr2XLli0sW7aM/v5+Jk+ezBVXXEEgUHv/fFKpFCtXruSll17Csiwuu+wyJkyYUBef+c9//nNWr16NZVlMmjSJRYsWsX379pr73FesWMH69etpbW1lyZIlAPv8d+26LrfddhsbNmwgHA6zaNEiJk+ebDS/SfVyDqv38xfU5zlM56/RMeLnMLdOlEol99Of/rT72muvuYVCwf3MZz7jvvTSS6Zj7VMikXD//Oc/u67ruul02r3yyivdl156yb3zzjvde++913Vd17333nvdO++802DKffvZz37mLlu2zP3KV77iuq7rLlmyxP3d737nuq7r3nzzze59991nMt4+ff3rX3e7u7td13XdQqHgJpPJuvjMt23b5i5atMjN5XKu65Y/79/85jc1+bk/8cQT7p///Gf3mmuu8R7b12f86KOPul/60pdcx3Hcp59+2r3uuutMRK4J9XQOq/fzl+vW5zlM56/RMdLnsLq5FPjcc89x8MEHc9BBBxEIBDj55JPp6ekxHWuf2travK42Go0yceJEEokEPT09zJo1C4BZs2bV5Pewbds21q9fz2mnnQaA67o88cQTzJw5E4DZs2fXZO50Os2TTz7JnDlzAAgEAsTj8br4zKH8G3Y+n6dUKpHP5xk7dmxNfu5HHXXUHr8x7+szfuSRRzj11FOxLIupU6eSSqXo7e0d9cy1oJ7OYfV8/oL6PIfp/DV6RvocZn5MbpASiQQdHR1e3dHRwbPPPmsw0eBt2bKFF154gcMPP5y+vj7a2toAGDt2LH19fYbT7en222/nwgsvJJPJANDf308sFsPv9wPQ3t5OIpEwGXGvtmzZwpgxY1ixYgV/+ctfmDx5MvPnz6+Lz7y9vZ0PfOADXHbZZYRCId75zncyefLkuvjcgX1+xolEgs7OTu95HR0dJBIJ77nNpF7PYfV2/oL6PIfp/GVWNc9hdTNiVa+y2SxLlixh/vz5xGKxij+zLAvLsgwl27tHH32U1tbWupwHUyqVeOGFFzj99NP5z//8T8LhMKtWrap4Ti1+5lC+vt/T08Py5cu5+eabyWazbNy40XSsIanVz1gOXL2dv6B+z2E6f9WO4X7OdTNi1d7ezrZt27x627ZttLe3G0y0f8VikSVLlnDKKadw4oknAtDa2kpvby9tbW309vYyZswYwykrPf300zzyyCNs2LCBfD5PJpPh9ttvJ51OUyqV8Pv9JBKJmvzsOzo66OjoYMqUKQDMnDmTVatW1fxnDvD4448zfvx4L9uJJ57I008/XRefO+z733V7eztbt271nlcP/9+OlHo7h9Xj+Qvq9xym85dZ1TyH1c2I1WGHHcbmzZvZsmULxWKRBx98kOnTp5uOtU+u67Jy5UomTpzIWWed5T0+ffp01q5dC8DatWuZMWOGqYh7dcEFF7By5UqWL1/OVVddxTve8Q6uvPJKjj76aB566CEA1qxZU5Of/dixY+no6ODVV18Fyv+zH3LIITX/mQN0dnby7LPPksvlcF3Xy14Pnzvs+9/19OnTWbduHa7r8swzzxCLxZryMiDU1zmsXs9fUL/nMJ2/zKrmOayuFghdv3493/nOd3Ach/e85z3MmzfPdKR9euqpp7j++us59NBDvSHF888/nylTprB06VK2bt1a07fOAjzxxBP87Gc/49prr+Vvf/sby5YtI5lM8ra3vY0rrriCYDBoOuIeXnzxRVauXEmxWGT8+PEsWrQI13Xr4jO/6667ePDBB/H7/bz1rW/l0ksvJZFI1NznvmzZMjZt2kR/fz+tra2ce+65zJgxY6+fseu63HrrrTz22GOEQiEWLVrEYYcdZjS/SfVyDmuE8xfU3zlM56/RMdLnsLpqrERERERqWd1cChQRERGpdWqsRERERKpEjZWIiIhIlaixEhEREakSNVYiIiIiVaLGSkRERKRK1FiJiIiIVIkaKxEREZEq+f8B1f8kXYxwFDAAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "# your code here\n" + "fig, ax = plt.subplots(1,2, figsize=(10, 10))\n", + "#plt.figure(figsize=(60, 40))\n", + "ax[0].plot(x,y, linewidth=3, c='yellow')\n", + "ax[1].plot(x,z, linewidth=3, c='yellow');" ] }, { @@ -120,11 +239,30 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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ffJO99trLVESRumRZcSKRn7jtRGKmwTQiIoPP43kTn+9lABwnRC53mLEsFek5mzt3LuvWraOnp4cZM2YwdepUJk+evM0tTYB169Zx77334vV68Xg8XHjhhTucTCAigyMa/TEeTxqAfP5AstmPGk4kIjK4eo83y+UOB4LGslSkOLviiiu2e/6SSy7Z5tyECROYMMHcfV6RemdZKaLRH7ntROISwDIXSESkAnovPpvNHmMwiXYIEJF3iUR+itfbBUChsA/p9CcNJxIRGXzVMt4MVJyJSJk80ehCt5VIzKAKJnWLiAwqj+etd403G2c2j9F3F5GqEg7/Ep/vdQCKxVbS6c8aTiQiMvi2HW8WMhcGFWci4nLKFp1NJs/HccIG84iIVEYgsPWWpunxZqDiTET+JRh8CL//OQBsO0IyOc1sIBGRCinf7NzseDNQcSYi/xKLzXOPU6lzcJwWg2lERCqjNN7sJQAcJ2h8vBmoOBMRwO9fRTD4OACO4yeRuNBwIhGRyiifpfkhTI83AxVnIgI0NGztNUunT8e2tS2SiNSHalrfbAsVZyJ1zud7nlDojwA4jkUicbHhRCIilVPec6biTESqQO8ZmpnMxykUxhhMIyJSOR7P6/h8rwBg2+bXN9tCxZlIHfN6XyccXuy2tcG5iNST3rM08/nxmNxPszcVZyJ1LBpdiGUVAMhmjyaf/5DhRCIildP7lma1jDcDFWcidcuy4kQiP3HbpQ3ORUTqRzVOBgAVZyJ1Kxr9MR5PGoB8/iCy2UlmA4mIVJDX+xo+3z8BsO0w+fwHDSfaSsWZSB2yrBTR6I/cdmmsmWUukIhIhQUCj7rHudyRQMBcmHdRcSZShyKRn+L1dgFQKOxDOv1Jw4lERCqrGpfQ2ELFmUjdyRONLnRbicQMwGcujohIxTlVt9l5byrOROpMOPxLfL7XASgW20inP2s4kYhIZXm9r+DzvQGAbcfI5w81nKicijORuuKULTqbTJ6P44QN5hERqbzyW5pHUW13D1ScidSRYPAh/P7nALDtCMnk5w0nEhGpvGq+pQkqzkTqSiy2dYPzVOocHKfFYBoRERMcgsHeMzU/bDDL9qk4E6kTgcAqgsHHAXAcP4nEhYYTiYhUns+3Hq/3HQBsu5l8/iDDibal4kykTvTuNUunT8O2RxpMIyJiRu/1zbLZCYDXXJgdUHEmUgd8vucIhf7otrXBuYjUq/JbmtU33gxUnInUhVjsZvc4nf44hcIYg2lEREyxq3Y/zd6qa+6oiAw4r/d1wuHFblsbnO/Yr3/9a5YuXYplWeyzzz7MnDmTTZs2MXfuXHp6ehg9ejSXXXYZPp+PfD7PD37wA1566SUaGhq44oorGD58OAAPPPAAS5cuxePxcN555zFu3Diz35iIAODzrXN3RykW2ygUDjCcaPvUcyYyxEWjC7GsAlAaX5HPf8hwouoUj8d58MEHmTVrFrNnz8a2bVauXMldd93FSSedxE033UQ0GmXp0qUALF26lGg0yk033cRJJ53E3XffDcBrr73GypUr+f73v89XvvIVFi1ahG3bJr81EfmXbWdpVueewirORIa0jUQiP3Fb6jXbOdu2yeVyFItFcrkczc3NPPvss0yYMAGASZMmsWrVKgCeeOIJJk2aBMCECRN45plncByHVatWccwxx+D3+xk+fDgjRoxg/fr1pr4lEemld3GWzX7EYJKd021NkSHM47kZjycNQD5/INnsRw0nql6tra188pOf5OKLLyYQCPDBD36Q0aNHE4lE8Hq97mPi8ThQ6mlra2sDwOv1EolE6OnpIR6PM2bMmLLX3fIcETEpTyDwmNvKZqtvfbMtVJyJDFGWlcLr3bpVU2mGZnV24VeDRCLBqlWrmDdvHpFIhO9///usXbt2UN9zyZIlLFmyBIBZs2bR3t7ep+f5fL4+P7ba1Gr2Ws0Nyr6FZf0FjycJgOPsS0vLhxisa2J/c6s4ExmiIpGfYlkbASgU9iGdPsVwour29NNPM3z4cBobGwE46qijeP7550mlUhSLRbxeL/F4nNbWVqDUI7Zx40ba2tooFoukUikaGhrc81v0fs67dXR00NHR4bY7Ozv7lLW9vb3Pj602tZq9VnODsm8Ri/0Gv790nE5PYNOmjTt/Qj/0JffIkTtea1JjzkSGpDzR6EK3lUhchP4W27n29nZefPFFstksjuPw9NNPs/fee3PwwQfz2GOlWyHLli1j/PjxAHzoQx9i2bJlADz22GMcfPDBWJbF+PHjWblyJfl8ng0bNvDmm2+y//77m/q2RORfysebVe8tTdDVWmRICod/ic/3OgDFYivp9BmGE1W/MWPGMGHCBP7zP/8Tr9fLe9/7Xjo6Ojj88MOZO3cuP/vZz3jf+97H5MmTAZg8eTI/+MEPuOyyy4jFYlxxxRUA7LPPPhx99NFcddVVeDweLrjgAjwe/R0sYlaGQOAJt1Wt65ttoeJMZMhxiMW2jjVLJs/HccIG89SOqVOnMnXq1LJze+21F9/+9re3eWwgEOCqq67a7uucfvrpnH766YOSUUR2XyDwJJaVAaBQGF3129fpzzmRISYYfAi//zkAHCdKMjnNbCAREcOCwT+5x9W8hMYWKs5EhpjeG5zb9gU4TovBNCIi5qk4ExFj/P5VBIOPA+A4forF/2c4kYiIWZbVg9//FACOY5HNHm040a6pOBMZQnqPNUunTwP2NhdGRKQKBAJ/xrKKAOTzB+M421/appqoOBMZIny+5wmH/+C2E4mLDaYREakO5ftpVv8tTVBxJjJkxGI3u8fp9McpFMYaTCMiUh1qZT/N3lSciQwBXu/rhMMPuO3SVk0iIvXN4+nE7/8bAI7jI5c70nCivlFxJjIERKM/xLIKAGSzE8jnxxtOJCJiXiDQ+5bm4ThO1GCavlNxJlLjLCtOJPITt61eMxGRkt5LaNTKeDNQcSZS86LR2/F4UgDk8weSzU42nEhEpBo4BIMr3FY2e6zBLLtHxZlIDbOsFNHoIrdd6jWzzAUSEakSXu8/8PleA8C2o+RyhxlO1HcqzkRqWCTyM7zeLgAKhX1Ip08xnEhEpDqU39I8CvCbC7ObVJyJ1Kw80egCt5VIXAT4zMUREakiweAj7nEt3dIEFWciNSsc/iU+3+sAFIutpNNnGE4kIlIt7LKZmirORKQCnLKtmpLJ83GcsME8IiLVw+db5w75KBbbKRQOMJxo96g4E6lBweBD+P3PAWDbEZLJaWYDiYhUkd7jzUq7AtTWRCkVZyI1KBab5x6nUmfjOC0G04iIVJfe481qaX2zLVScidQYv38VweDjADiOn0RiuuFEIiLVJEMg8JjbymaPM5hlz6g4E6kxvceapdOnYdsjDaYREakugcCTeDwZAAqF91EsjjKcaPepOBOpIT7f84TDf3Db2qpJRKRc+RIatddrBhVaFGn+/PmsXr2apqYmZs+eDcC9997LQw89RGNjIwBnnnkmhx9+OAAPPPAAS5cuxePxcN555zFu3LhKxBSperHYze5xOv1xCoUxBtOIiFSfWl7fbIuKFGeTJk3iE5/4BPPmzSs7f9JJJ3HKKeUrmr/22musXLmS73//+3R1dfH1r3+d//3f/8XjUSef1DeP53XC4QfctnrNRETKWdYm/P6nAHAcD9nsMYYT7ZmKVDwHHXQQsVisT49dtWoVxxxzDH6/n+HDhzNixAjWr18/yAlFql8s9kMsqwBANjuBfH684UQiItUlGFyJZTkA5PMfxHGaDCfaM0b3evn973/PihUrGD16NOeeey6xWIx4PM6YMVtv1bS2thKPxw2mFDHPsuJEIj9x2+o1ExHZVjC4wj2u1VuaYLA4O+GEE/j0pz8NwD333MMdd9zBzJm79wtnyZIlLFmyBIBZs2bR3t7e5+f6fL7deny1qNXcoOz94fEsxONJAWDbH6ChYSoNDbteVNF07v6o5ewiYsZQmAwABouz5uZm9/j444/nO9/5DlDqKdu4caP7tXg8Tmtr63Zfo6Ojg46ODrfd2dnZ5/dvb2/frcdXi1rNDcq+pywrxfDhN7nt7u6LSKc37uQZWw31z3zkSC0jIiIlXu8/8fleAcC2w+Ryh5sN1A/GRtl3dXW5x48//jj77LMPAOPHj2flypXk83k2bNjAm2++yf77728qpohxkcjP3D3iCoW9SadP2cUzRETqT+9bmrnc0UDQXJh+qkjP2dy5c1m3bh09PT3MmDGDqVOn8uyzz/LKK69gWRbDhg1j+vTSKuf77LMPRx99NFdddRUej4cLLrhAMzWljuWJRhe6rURiBoaHioqIVKWhMt4MKnSVv+KKK7Y5N3ny5B0+/vTTT+f0008fxEQitSEc/iU+32sAFIutpNNnGE4kIlKNigSDj7qtWh5vBtohQKSKOWVbNSWT5+M4YYN5RESqk9//NB7PJgCKxb0oFN5vNlA/qTgTqVLB4EP4/c8BYNsRkslpZgOJiFSp8luaHwF2PZu9mqk4E6lSvXvNUqmzcZwWg2lERKpXeXFW27c0QcWZSFXy+1cRDP4FAMfxk0hMN5xIRKQ6WVaSQOAJt13rkwFAxZlIVerda5ZOn4Ztaz0vEZHtCQQew7LyAOTzB2LbexlO1H8qzkSqjM/3POHwH9y2tmoSEdmxobSExhYqzkSqTCx2s3ucTn+cQmHMTh4tIlLfyouziQaTDBwVZyJVxOt9nXD4AbetXjMRkR3zeN7A738BAMcJkssdZTjRwFBxJlJFotEfYlkFALLZCeTz4w0nEhGpXr03Os/ljhwya0GqOBOpEpYVJxL5idtWr5mIyM4Fg8vd40xmaNzSBBVnIlUjGr0djycFlGYcZbM73uJMRETsIbe+2RYqzkSqgGWliEYXue1Sr1ltr3AtIjKY/P5n8Hq7ACgWh1EoHGg40cBRcSZSBSKRn7kXmUJhb9LpUwwnEhGpbr1vaZaW0Bg6Jc3Q+U5EalaeaHSh20okZgA+c3FERGpAeXE2dMabgYozEePC4V/h870GQLHYSjp9huFEIiLVzbISBAKr3PZQGm8GKs5EDHPKtmpKJs8fMlPBRUQGSyCw0l12KJ8/CNsebjjRwFJxJmJQMLgUv/9vANh2hGRymtlAIiI1IBRa5h5nMpOM5RgsKs5EDIrF5rnHqdRZOE6LwTQiIrVhKI83AxVnIsb4/U8QDP4FAMfxkUhMN5xIRKT6eb3/wOd7BQDbDpPLHWE20CBQcSZiSO+xZun0adj2KINpRERqQzC4zD3O5Y4GgsayDBYVZyIG+HwvEA7/3m1rqyYRkb4pv6U5yVyQQaTiTMSAWOxm9zidPoFCYazBNCIitSJPMPio2xpK+2n2puJMpMI8ntcJh+9324nEJQbTiIjUjkDgSTyeBFDaTaVY3M9wosGh4kykwmKxH7rr82SzR5HPjzecSESkNgSDD7vHpVuaQ3MPYhVnIhVkWXEikZ+4bfWaiYj0Xe/JANnsR80FGWQqzkQqKBq9HY8nBUA+fyDZ7GTDiUREaoPH8w6BwDNAafmhbPbDhhMNHhVnIhViWWmi0R+57dIMzaHZJS8iMtB6z9LM5cbjOA0G0wwuFWciFRIO/wyvNw6UBrKm06cYTiQiUjvKb2lOMpajElSciVREnlhsgdtKJGYAPnNxRERqil0X65ttoeJMpALC4V/h870GQLHYSjp9huFEIiK1w+9/2r3zUCy2k88fbDjR4FJxJjLonLKtmpLJ83GcsME8IiK1JRhc6h5ns8cx1MuXof3diVSBYHApfv/fALDtCMnk5w0nEhGpLaHQMve4Hma5qzgTGWS9e81SqbNwnFaDaUREaotldeH3rwbAcSyy2aG5ZVNvKs5EBpHf/wTB4GNAaV2eRGK64UQiIrUlGHwEy7IByOfHYdtD/w9cFWcig6h3r1k6fRq2PcpgGhGR2hMK9d6yaejuCtCbijORQeLzvUg4/Hu3XVp0VkRE+s4pW98sk5lkLEklqTgTGSTlvWYnUCiMNZhGRKT2WNZf8Xo3AGDbzeTz48wGqhAVZyKDwON5nXD4AbetDc5FRHafZf3BPc5kJgJec2EqSMWZyCCIxW7BsvIAZLNHkc+PN5xIRKT2eDy/c4+H+q4Avak4ExlgltVFJHK329ZYMxGR3WdZ3VjWn912vUwGABVnIgMuGv0xHk8KgHz+ALLZ4w0nEhGpPaUlNIoA5HKHYtvDDCeqHBVnIgPIstJEoz9y26VeM8tcIBGRGhUK9d6yaejvCtCbijORARQO/8zdnLdQ2Jt0+hTDiUREapFDMLh1fbNMRsWZiOyRPLHYAreVSMwA/ObiiIjUKJ/vWXcJjWKxpW6W0NhCxZnIAAmHf4XP9xoAxWIr6fQZhhOJiNSm8luak6iXJTS2UHEmMiCcskVnk8nzcZywwTwiIrUrGOxdnNXPLM0tVJyJDIBgcCl+/98AsO0IyeQ0s4FERGqUZXURCDwJgONYdbW+2RYqzkQGQCw2zz1Opc7CcVoMphERqV3B4AosywbAcY7AttsMJ6o8FWci/eT3P0Ew+BcAHMdHIjHdcCIRkdoVCj3kHtv2JwwmMUfFmUg/lW9wfhq2PcpgGhGRWlYsW0LDcf7dYBZzVJyJ9IPP9wLh8O/dtrZqEhHZc37/U+5akcXiMBxnnNlAhqg4E+mHWOxm9zidPoFCYazBNCIita33Lc3SLM36LFPq87sWGQAez+uEw/e7bfWaiYj0T+8lNDKZ+t2X2FeJN5k/fz6rV6+mqamJ2bNnA3DnnXfy5JNP4vP52GuvvZg5cybRaJQNGzZw5ZVXMnLkSADGjBnD9OkaYC3VJxa7BcsqAJDNHkU+f4ThRCIitcvj2UAg8FegNLkqmz2OWMxwKEMqUpxNmjSJT3ziE8ybt3W5gUMPPZSzzjoLr9fLXXfdxQMPPMA555wDwIgRI7jhhhsqEU1kj1hWF5HI3W5bvWYiIv3TeyJALncEjtNoMI1ZFbmtedBBBxF7V/n7wQ9+EK+3tB3D2LFjicfjlYgiMiCi0R/j8aQAyOcPIJut3+53EZGBEAotcY/r+ZYmVKjnbFeWLl3KMccc47Y3bNjAl770JcLhMGeccQYHHnigwXQi5SwrTTT6I7dd6jWzzAUSEal5OYLBFW4rm+0wmMU848XZ/fffj9fr5dhjjwWgpaWF+fPn09DQwEsvvcQNN9zA7NmziUQi2zx3yZIlLFlSqrRnzZpFe3t7n9/X5/Pt1uOrRa3mhqGT3eO52Z3q7Tj7Eo2eTzTqNxlvh4bKZy4iQ1sg8Bc8ngQAhcK+FAr7G05kltHibNmyZTz55JNcd911WFap58Hv9+P3l37RjR49mr322os333yT/fbbb5vnd3R00NGxtbru7Ozs83u3t7fv1uOrRa3mhqGSvcDw4bPd85s3X0gy2W0u2C4Mjc98x7ZMHBKR2rbtLc36vhthbCmNtWvX8otf/IL//M//JBgMuuc3b96MbZf21Hr77bd588032WuvvUzFFCkTDv8Kn+9VAIrFFlKpMwwnEhGpfeXrm9X3eDOoUM/Z3LlzWbduHT09PcyYMYOpU6fywAMPUCgU+PrXvw5sXTJj3bp13HvvvXi9XjweDxdeeOE2kwlEzHDKNjhPJs/Hcba93S4iIn3n9f4dn+9lAGw7TDZ7tOFE5lWkOLviiiu2OTd58uTtPnbChAlMmDBhkBOJ7L5g8GH8/r8BpQtIMjnNbCARkSGgvNfsWCBkLkyV0A4BIn3Uu9cslTobx2k1mEZEZGjQLc1tGZ+tKVILLOsxAoHHgNLK1YmEdq0YipLJJAsWLODVV1/FsiwuvvhiRo4cyZw5c3jnnXcYNmwYV155JbFYDMdxuO2221izZg3BYJCZM2cyevRooDTZ6f77S1t7nX766UyaNMngdyVSvSxrs3ttBa1vtoWKM5E+8Hq/5x6n06dh26MMppHBcttttzFu3Dj+4z/+g0KhQDab5YEHHuCQQw5hypQpLF68mMWLF3POOeewZs0a3nrrLW688UZefPFFbr31Vr71rW+RSCS47777mDVrFgDXXHMN48eP19hZke0IBpe72+Dlcodg2+8xnKg66LamyC74fC/g8fzKbScSFxtMI4MllUrxt7/9zR0P6/P5iEajrFq1iokTJwIwceJEVq1aBcATTzzBcccdh2VZjB07lmQySVdXF2vXruXQQw8lFosRi8U49NBDWbt2ralvS6Sq9V5Co94Xnu1NPWciuxCL3ewep9MnUCi832AaGSwbNmygsbGR+fPn849//IPRo0czbdo0uru7aWlpAaC5uZnu7tK6dvF4vGyR3La2NuLxOPF4nLa2Nvd8a2urtqcT2a4iweBSt5XJqDjbQsWZyE54PK8TDj/gtrXB+dBVLBZ5+eWXOf/88xkzZgy33XYbixcvLnuMZVnugtkDYU93Oanl3RNqNXut5obqzW5Zj/XabWUETU2TefcNvWrNviv9za3iTGQnYrFbsKw8ANnsUeTzRxhOJIOlra2NtrY2xowZA5SW9Vm8eDFNTU10dXXR0tJCV1cXjY2NQKlHrPcOBhs3bqS1tZXW1lbWrVvnno/H4xx00EHbfc893eVkqO/8UI1qNTdUb/aGhvv414ZApFIfpbt72x7mas2+K/3d4URjzkR2wLK6iETudtvqNRvampubaWtr44033gDg6aefZu+992b8+PEsX74cgOXLl3PEEaUCffz48axYsQLHcXjhhReIRCK0tLQwbtw4nnrqKRKJBIlEgqeeeopx48aZ+rZEqpbGm+2Yes5EdiAavR2PJwWAbR+s9XfqwPnnn8+NN95IoVBg+PDhzJw5E8dxmDNnDkuXLnWX0gA47LDDWL16NZdffjmBQICZM0vFeywW41Of+hTXXnstAJ/+9Kc1U1PkXbze19xFvR0n8K/FZ2ULFWci22FZaaLRRW7btr9IvW/EWw/e+973uktg9Hbddddtc86yLL7whS9s93UmT568w11QRASCwT+6x9nsR3CcqME01Ue3NUW2Ixy+xx2oWiiMwrY/YziRiMjQEQr9wT3WLM1tqTgT2UaBWGyB20omZwB+c3FERIYQy+ohGPyz21Zxti0VZyLvEg7/Cp/vVQCKxRZSqTMMJxIRGTpKuwKUZsHn8wdrx5XtUHEmUsYp2+A8mTwfx4kYzCMiMrSU39L8mMEk1UvFmUgvweDD7gwi2w6TTE4zG0hEZEh5964AJxjMUr1UnIn0EovNd49TqbNwnFaDaUREhpZA4Em83i4AisW9yOcPMZyoOqk4E/kXv/9Jd5Cq4/hIJi8ynEhEZGjZdpamypDt0aci8i+9e83S6SkUixqkKiIykEKh37vHuqW5YyrORACf70XC4d+5bW3VJCIysLze9fh8LwGlMb3Z7IcNJ6peKs5EgFjsZvc4k/kYhcL7DaYRERl6QqHeuwJMAsLGslQ7FWdS9zyeNwiH73fbPT2XGEwjIjI0ld/S1BIaO6PiTOpeLHaLuyBiNnsU+fwRhhOJiAwtHs9GAoEnAHAcD9msdgXYGRVnUtcsq4tI5C63rbFmIiIDLxhcgmU5AORy47HtNsOJqpuKM6lr0ejteDwpAPL5A8hmjzecSERk6ClfQkOzNHfFt7MvXnzxxX16kUAgwP/+7/8OSCCRSrGsNNHoIrdd6jWzzAUSERmCLCtNMLjMbas427WdFmc9PT18+ctf3ukLOI7Dd7/73QENJVIJ4fA9eL1xAAqFUaTTpxhOJCIy9AQCj+DxZADI5/enWNzPcKLqt9Pi7JhjjuGggw7a5YscffTRAxZIpDIKxGIL3FYyOQPwm4sjIjJElc/S/ITBJLVjp2POZs7s2+DoGTNmDEgYkUoJh3+Fz/cqAMViC6nUGYYTiYgMRcWy9c10S7NvNCFA6pBDLDbPbSWT5+M4EYN5RESGptJG5xsBKBaHk88fZjhRbdjpbU2Az372s+7xPffcM6hhRCohGHwYv/9vQGkLkWRymtlAIiJDVCi0dVu80sKz6hPqi10WZyrIZKjpvcF5KnUWjtNqMI2IyFDlvGu82ccNZqktKmGlrvj9TxIM/hkAx/GRTF5kOJGIyNDk872Az/cKALYd1Ubnu2GnPWfXXXcdlrXrdZ++9rWvDVggkcHUu9csnZ5CsTjKYBoRkaErFHrQPc5mPwqEzIWpMTstziZPnlypHCKDzud7kXB46/gHbdUkIjJ4ym9p/rvBJLVnp8XZpEmTKhRDZPDFYje7x5nMxygU3m8wjYjI0OX1vk4g8FcAHMdPJqPOnt2xywkBWziOw0MPPcSjjz5KT08P3/ve91i3bh2bNm3imGOOGcyMIv3m8bxBOHy/204kLjGYRkRkaOvda5bNHoPjNBpMU3v6PCHgnnvu4eGHH6ajo4POzk4A2tra+MUvfjFo4UQGSix2C5aVByCbPZJc7gjDiUREhq7e4820K8Du63Nxtnz5cv7zP/+TD3/4w+4kgeHDh7Nhw4ZBCycyECyri0jkbretsWYiIoPHsuIEAn9x29oVYPf1uTizbZtQqHymRSaT2eacSLWJRm/H40kCkM+/n2z2eMOJRESGrlBoCZZVBCCXOwzbHmE4Ue3pc3F22GGHcccdd5DPl24NOY7DPffcw4c+9KFBCyfSf2mi0R+5rVKvmZb3ExEZLOW3NE80mKR29fm31LnnnktXVxfTpk0jlUpx7rnn8s4773D22WcPZj6RfolE7nH3dSsURpFOn2o4kYjI0GVZSUKhFW47ndZ4sz3R59makUiEq6++mu7ubt555x3a29tpbm4exGgi/VUgFlvotkq7AfjNxRERGeKCwYexrAwA+fwBFIujDSeqTX0uzgCSySR//etf6erqoqWlhcMOO4xYLDZY2UT6JRz+NT7fPwEoFltIpc40nEhEZGgr3+hcvWZ7qs/F2TPPPMP3vvc9Ro4cSXt7Oxs3bmTRokX8x3/8B4cccshgZhTZAw6x2Dy3lUyej+NEDOYRERnqcoRCS9xWOq1dAfZUn4uzRYsWMX369LIFZ//85z+zaNEi5s6dOxjZRPZYMLgMv38dALYdJpmcZjaQiMgQFww+isfTA0ChsC+FwsGGE9WuPk8I6OrqYsKECWXnjjzySDZt2jTQmUT6rXevWSp1Fo7TajCNiMjQt+3Cs5a5MDWuz8XZcccdx+9+97uyc3/4wx847rjjBjyUSH/4/U8SDP4ZAMfx/WsigIiIDJ7iu8abaQmN/tjpbc3rrrvO3Q3Atm3++Mc/8stf/pLW1lbi8Tjd3d2MGTOmIkFF+ioWm+8ep9NTKBZHGUwjIjL0BQKPu8sWFYvDyeW0Bmp/7LQ4mzy5fBf544/XyupS3Xy+FwmHt/71lkhcbDCNiEh9CIV+6x6Xbmlqse/+2GlxNmnSpArFEBkYsdjN7nEm8zEKhQMMphERqQc24fDW4iyd1i3N/tqtdc42bdrE+vXr6enpwXEc9/y7e9hETPB43iAcvt9tJxKXGEwjIlIf/P61eL1vAaU1JXO5ow0nqn19Ls4ef/xxbrrpJt7znvfw6quvss8++/Dqq69ywAEHqDiTqhCL3YJllfZ+zWaPIJc7wnAiEZGhr3evWSbzcXaz30e2o8+f4D333MPMmTM5+uijOe+88/jud7/Lww8/zKuvvjqY+UT6xLI2EYnc7bbVayYiUgnOu8abaeHZgdDnEXudnZ0cfXR5V+XEiRNZsWLFDp4hUjnR6O14PEkA8vn3k81q8oqIyGDz+Z7F5/sHALbdQDZ7rOFEQ0Ofe84aGxvZtGkTzc3NDBs2jBdeeIGGhgZs2+7T8+fPn8/q1atpampi9uzZACQSCebMmcM777zDsGHDuPLKK4nFYjiOw2233caaNWsIBoPMnDmT0aO1earsSJpodJHbSiRmoplCIiKDLxz+jXucyXwMCJoLM4T0+TfY8ccfz3PPPQfASSedxNe+9jWuvvpqTjjhhD49f9KkSXz5y18uO7d48WIOOeQQbrzxRg455BAWL14MwJo1a3jrrbe48cYbmT59OrfeemtfY0odikTucdfXKRRGkU6fajiRiEg9cAiHf+22MpmTDGYZWvrcczZlyhT3eOLEiRx88MFkMhn23nvvPj3/oIMOYsOGDWXnVq1axfXXX+++5vXXX88555zDE088wXHHHYdlWYwdO5ZkMklXVxctLS19jSt1o0AsttBtlXYD8JuLIyJSJ3y+5/H5XgLAtiNkMhMNJxo69nhKRXt7e7/fvLu72y24mpub6e7uBiAej5e9fltbG/F4XMWZbCMc/jU+3z+B0hTuVOpMw4lEROpD71ua2WwHEDYXZojZaXF28cV9W1395ptv3vWDdsGyLHerqL5asmQJS5YsAWDWrFm7VTD6fL4BKTArrVZzw2Bkd/D5FvZqX0Jb274D+Ppb1ernXqu5obazi9SDUGhrcZZO65bmQNppcXbZZZcN6ps3NTW5tyu7urpobGwEoLW1lc7OTvdxGzdupLW1dZvnd3R00NHR4bZ7P2dX2tvbd+vx1aJWc8PAZw8GH6at7a8A2HaYDRs+i+MMzmdTq597reaGvmUfOXJkhdKISG8+33r8/ucBsO0Q2azWOx1IOy3ODjroIPe4p6eHhoaGAX3z8ePHs3z5cqZMmcLy5cs54ogj3PO/+93v+PCHP8yLL75IJBLRLU3ZRiw2zz1Opc7CcbYt4EVEZOCFQr9yj7PZyThOxGCaoafPY85mzpzJIYccwnHHHcf48ePx+XZvuNrcuXNZt24dPT09zJgxg6lTpzJlyhTmzJnD0qVL3aU0AA477DBWr17N5ZdfTiAQYObMmbv3XcmQ5/evJhj8MwCO4yOZnG44kYhI/eg93iydPtlgkqGpzxXWvHnz+NOf/sQvfvELFi5cyIQJE5g4cSIHHNC3jaWvuOKK7Z6/7rrrtjlnWRZf+MIX+hpN6lAsNt89TqdPpVjs26xhERHpn9Itzb8B4Dihf00GkIG0W4vQnnjiiZx44om88cYbrFixgptuugnLsjj22GOZPHkyw4YNG8ysIgD4fC8SDj/otkuLzoqISCX0vqWZyXwUx4kaTDM07dEy6ps2bWLTpk2k02n22msv4vE4X/rSl9xFZEUGUyy2dXZwJtNBodC33lsREem/8l0BdEtzMPS55+zVV1/lkUce4U9/+hPBYJCJEydyww030NbWBsCnPvUprr766rLFakUGmsfzBuHw/W47kbjUYBoRkfri9fa+pRkkk9EtzcHQ5+Lsv//7v/nwhz/MVVddxf7777/N14cPH86JJ544oOFE3i0WuwXLygOQzR5BLneE4UQiIvWjfLumj+I4MYNphq4+F2c//OEPdzlDs6enp9+BRHbEsjYRidztthOJSwymERGpP+XFmW5pDpY+jznry9IZjzzySL/CiOxMNHo7Hk8SgHz+/WSzxxtOJCJSP3y+F8tmaWYyHzOcaOjaowkBO+I4zkC+nEgvaaLRRW6rNENzQP/5iojIToRCvXvNJuuW5iAa0N9uu7s3pkhfRSL34PVuBKBQGEk6farhRCIi9SUc3rqEhhaeHVzqepAaUCAWW+C2kskZgN9cHBGROuPzPf+uvTR1S3Mw6bamVL1w+Nf4fK8CUCy2kEqdaTiRiEh96d1rls12aC/NQdbn4uzFF1/c7vn169e7x8cee2z/E4mUcd61wfl5uiiIiFSUU7YrQDr9SYNZ6kOfi7NvfOMb2z3/zW9+0z2+8MIL+59IpJdgcBl+/zoAbDtMMnme4UQiIvXF51uH31/qiLHtiGbKV8Au18ewbRso3bLc8r8t3n77bbxe7+Clk7pX3mt2FrbdajCNiEj9CYd/6R5nMifgOGGDaerDLouzM8/cOr7njDPOKPuax+PhtNNOG/hUIoDfv5pg8M8AOI6PZHK64UQiIvXGKSvONFO+MnZZnP3gBz/AcRyuv/56vva1r+E4DpZlYVkWjY2NBAKBSuSUOhSLzXeP0+lTKRb3NphGRKT++P1r8fn+CYBtN5LNTjScqD7ssjgbNmwYAPPnl35R2rZNd3c3LS0tg5tM6prPt55Q6Hduu7TorIiIVFI4/Av3OJP5BBA0F6aO9HlvzWQyya233spjjz2Gz+fjzjvv5IknnmD9+vXb3O4U6a9o9GYsqzS+MZPpoFA4wHAiEZF6Y79r4Vnd0qyUPs/WvOWWW4hEIsyfP9/dZ3Ps2LGsXLly0MJJffJ43iQS+T+3rQ3ORUQqLxBYhdf7FgDFYivZ7IcNJ6offe45e/rpp1m4cGHZBuiNjY10d3cPSjCpX7HYLVhWHoBcbjy53JGGE4mI1J9weLF7nMmciHZmqZw+95xFIhF6enrKznV2dmrsmQwoy9pEJHKX2+7pUa+ZiEjl5cs2Ok+np5iLUof6XJwdf/zxzJ49m2eeeQbHcXjhhReYN28eH/uY9teSgRON3o7HkwQgnx9LNtthOJGISP0JBv+E1xsHoFgcQS53lOFE9aXPtzVPPfVUAoEAixYtolgscvPNN9PR0cGJJ544mPmkrqSJRhe5rdIMzQHd/lVERPqg9y3NdPoUdC2urD4XZ5ZlceKJJ6oYk0ETidyD17sRgEJhpLrRRUSMSJctZaRrceX1uTh75plnGD58OMOHD2fTpk3cddddeDwezjrrLJqbmwcxotSHArHYQreVTF6EBp+KiFReKLQUjycBQKHwXvL5Qw0nqj997qdctGgRHk/p4bfffjvFYhHLsli4cOEunimya+Hwr3utQt1MKnWW4UQiIvWp/JbmFMAyFaVu9bnnLB6P097eTrFY5KmnnnLXO7vooosGM5/UBadsg/Nk8nwcJ2Iwj4hIfbKszYRCD7lt3dI0o8/FWTgcZtOmTbz66qvsvffehEIhCoUChUJhMPNJHQgGl+H3rwPAtsMkk+cZTiQiUp9CoQexrCwAudwHKBTGGE5Un/pcnH3iE5/g2muvpVAoMG3aNACee+45Ro0aNVjZpE707jVLpc7CtlsNphERqV+RyAPucTp9msEk9a3PxdmUKVM48sgj8Xg8jBgxAoDW1lZmzJgxaOFk6PP7VxMM/hkAx/GSTE43nEhEpD55PG8TCDwKgONY/1pCQ0zoc3EGMHLkyJ22RXZXLDbfPU6np1As7m0wjYhI/QqHf4Vl2QDkchOwbf2ON2WXxdkll1yCZZVmavzgBz8Y9EBSP3y+9WVr6ZQWnRURERPCYd3SrBa7LM6uv/76CsSQehSN3oxlOQBkMh0UCgcYTiQiUp+83r8TCKwFwHH8pNNacN6kXRZnw4YNq0QOqTMez5tEIv/nthMJbXAuImJK74kAmczxOE6LwTSy00Vof/azn/XpRe69994BCSP1Ixa7FcvKA5DNHkEud6ThRCIi9cp51y3N0w1mEdhFz9lvf/tbJk+ejOM4O32RBx98kKlTpw5oMBm6LGsTkcidbltjzUREzPH7V+PzvQKAbTeSyRxvNpDsvDjLZrNcdtllu3wRv197IErfRaN34PEkAcjnx5LNdhhOJCJSvyKR+93jdPokIGQujAC7KM7uueeeSuWQupEmGr3VbZV6zfq8xauIiAyoPKHQL92WbmlWB/1WlIqKRO7F690IQKEwUvu2iYgYFAwuw+uNA1AsvodcboLhRAK7uQitSP8UiMUWuq1k8iJAt8Sluti2zTXXXENrayvXXHMNGzZsYO7cufT09DB69Gguu+wyfD4f+XyeH/zgB7z00ks0NDRwxRVXMHz4cAAeeOABli5disfj4bzzzmPcuHFmvymRHYhE7nOPU6nTUZ9NddBPQSrG47kfn+8fANh2M6nUWYYTiWzrt7/9bdmewXfddRcnnXQSN910E9FolKVLlwKwdOlSotEoN910EyeddBJ33303AK+99horV67k+9//Pl/5yldYtGgRtm0b+V5EdsayugmF/ui20+lPGUwjvak4kwpx8Hi+57aSyfNwnIjBPCLb2rhxI6tXr+b440uz1RzH4dlnn2XChNKtnkmTJrFq1SoAnnjiCSZNmgTAhAkTeOaZZ3Ach1WrVnHMMcfg9/sZPnw4I0aMYP369Ua+H5GdCYd/g2VlAcjlPkCh8H7DiWQLFWdSEcHgcjyepwCw7RDJ5PmGE4ls68c//jHnnHOOu2VdT08PkUgEr9cLQGtrK/F4aXxOPB6nra0NAK/XSyQSoaenp+z8u58jUk3C4a0LgavXrLpozJlURCy2dV/WVOpsbLvVYBqRbT355JM0NTUxevRonn322Yq855IlS1iyZAkAs2bNor29vU/P8/l8fX5stanV7LWaG3aU/RUCgccAcBwP4fD5hMPV9/3V6ufe39wqzmTQ+f1rCAb/DIDjeEkmpxtOJLKt559/nieeeII1a9aQy+VIp9P8+Mc/JpVKUSwW8Xq9xONxWltLf1i0trayceNG2traKBaLpFIpGhoa3PNb9H7Ou3V0dNDRsXWdv87Ozj5lbW9v7/Njq02tZq/V3LD97LHYIgKB0nE2exzxuA+ovu+vVj/3vuQeOXLkDr+m25oy6GKxee5xOj2FYnFvg2lEtu+ss85iwYIFzJs3jyuuuIIPfOADXH755Rx88ME89liph2HZsmWMHz8egA996EMsW7YMgMcee4yDDz4Yy7IYP348K1euJJ/Ps2HDBt588032339/U9+WyHY4RCI/d1u6pVl91HMmg8rnW08o9Du3ra2apNacffbZzJ07l5/97Ge8733vY/LkyQBMnjyZH/zgB1x22WXEYjGuuOIKAPbZZx+OPvporrrqKjweDxdccAEej/4OlupR2q7pZQBsO0Ym8++GE8m7qTiTQRWN3oxllfZmte0TKRQOMJxIZNcOPvhgDj74YAD22msvvv3tb2/zmEAgwFVXXbXd559++umcfrpWWpfqVN5rdjKOEzaYRrZHf87JoPF43iQS2TobqFj8osE0IiICWcLh3ts1fcZgFtkRFWcyaGKxW7CsPADZ7BE4zocNJxIRqW+h0B/xeLoBKBT2IZc70nAi2R4VZzIoLGsTkchdbltjzUREzCu/pflpVAZUJ/1UZFBEo3fg8SQByOfHks127OIZIiIymDyedwgGH3bbqZRmaVYrFWcyCNJEo7e6rVKvmf6piYiYFA7fj2UVAchmj6RYfJ/hRLIj+o0pAy4SuRevt7QIZ6EwknR6itlAIiJ1zyESuddtpVKfNZhFdsXoUhpvvPEGc+bMcdsbNmxg6tSpJJNJHnroIRobGwE488wzOfzww03FlN1SIBZb6LZKuwH4zcURERH8/qfx+58DwLbDZDInG04kO2O0OBs5ciQ33HADALZtc9FFF3HkkUfy8MMPc9JJJ3HKKaeYjCd7IBT6DT7fPwCw7WZSqbMMJxIRkXB4a69ZJnMijhMzmEZ2pWpuaz799NOMGDGCYcOGmY4ie8yhoWHrVk3J5Hk4TtRgHhERgSyRyANuK5WaajCL9EXV7BDw6KOP8uEPb10H6/e//z0rVqxg9OjRnHvuucRiqvKrXTC4HL//WQBsO0Qyeb7hRCIiYlm/wePZBEChMIpc7hizgWSXqqI4KxQKPPnkk5x1VukW2AknnMCnP/1pAO655x7uuOMOZs7cdp2sJUuWsGTJEgBmzZpFe3t7n9/T5/Pt1uOrRTXn9vlucY8d53xaW8e+6+vVm31XajV7reaG2s4uUk283h+7x6UdAarmppnsQFUUZ2vWrOF973sfzc3NAO7/Axx//PF85zvf2e7zOjo66OjYun5WZ2dnn9+zvb19tx5fLao1t9+/hmHDlgHgOF46O8+lWCzPWa3Z+6JWs9dqbuhb9pEjR1YojUht8njexLL+6LY1S7M2VEX5/O5bml1dXe7x448/zj777GMiluyGWGy+e5xOn0qxqJ+ZiIhpkch9WJYNQDZ7DMXivoYTSV8Y7znLZDL89a9/Zfr06e65u+66i1deeQXLshg2bFjZ16T6eL3rCYUedNvaqklEpBo4RCI/c1up1BkGs8juMF6chUIhfvSjH5Wdu+yyywylkT0Riy3AshwAMpnjKRQONJxIREQCgVX4fK8AYNsNZDInmg0kfVYVtzWldnk8bxKJ3Oe2E4lLDaYREZEtIpGfusfp9Ck4TthgGtkdKs6kX2KxW7GsPAC53HhyuSMNJxIREcvqIRT6ldvWLc3aouJM9phlbSISudNt9/RcYjCNiIhsEQ7/Ao8nDYBtH0w+f5jhRLI7VJzJHotG78DjSQKQz48lm+3YxTNERKQSek8EsO1pgGUsi+w+FWeyh9JEo4vcVmmGpv45iYiY5vP9jUBgDQCOE8C2tcdxrdFvU9kjkci9eL2lBUILhZGk01PMBhIREaB8IkAm83FAO23UGhVnsgcKxGIL3VYyOR3wm4sjIiL/kiES+T+3lUqdaTCL7CkVZ7LbQqHf4PP9AwDbbiaVUpe5iEg1CIcf7LXJ+d5ksx8xG0j2iIoz2U0ODQ3z3FYyeR6OEzWYR0REtohE7naPS8tneM2FkT2m4kx2SzC4HL//WQBsO0Qyeb7hRCIiAuD1vkQw+GcAHMejTc5rmIoz2S2x2NZes1TqLGy71WAaERHZovdEgGz2eGx7pME00h8qzqTP/P41BIMrAXAc778mAoiIiHl5IpF73VYyqbHAtUzFmfRZLDbfPU6nT6VY3MdgGhER2SIU+r27vFGxOIJsdrLhRNIfKs6kT7ze9YRCD7rt0qKzIiJSDbadCOAzF0b6TcWZ9EkstgDLcgDIZCZTKBxoOJGIiAB4va8QCq0AtkwE0C3NWqfiTHbJ43mrbFHDREIbnIuIVItI5CfucTb7UYrFUQbTyEBQcSa7FIvdimXlAMjlPkQud5ThRCIiUpIjErnHbSWT5xjMIgNFxZnslGV1E4nc6bZLvWaWuUAiIuIKhX6niQBDkIoz2alo9A48ngQA+fxYMpmPGU4kIiJbRKNb/3gujTXTRIChQMWZ7ESaaPRWt5VIXIz+yYiIVAefb/271p7URIChQr9pZYcikZ+73eWFwkjS6SlmA4mIiKv3kJNM5mPY9nsMppGBpOJMdqBALLbAbZV2AwiYiyMiIi7LShOJ/Nxtp1LnGkwjA03FmWxXKPQbfL5/AGDbzVo3R0SkioRCv8Tj6QagUHgv2eyxhhPJQFJxJtvh0NCwdYPzZPI8HCdqMI+IiPQWjd7hHpeWz9Cv86FEP03ZRjC4HL//WQBsO0Qyeb7hRCIisoXfv5ZAYC0AjhMknf6s2UAy4FScyTZisa29ZqnUWdh2q8E0IiLSWzR6u3ucTn9S1+ghSMWZlPH717xravZ0w4lERGQLy4oTDv/SbSeTnzeYRgaLijMpE4vNd4/T6VMpFvcxmEZERHqLRO7FsjIA5HKHks8fZjiRDAYVZ+LyetcTCj3othOJmQbTiIhIOftdEwE+j7bTG5pUnIkrFluAZTkAZDLHUygcaDiRiIhsEQw+XLbEUSZzquFEMlhUnAkAHs9bRCL/57ZLG5yLiEi1iEZ/7B6nUlNxnLC5MDKoVJwJALHYrVhWDoBc7kPkckcaTiQiIlt4vS8TCi0FwHEskslpZgPJoFJxJlhWd9kebT09l6JxDCIi1aN3r1k2ezzF4r+ZCyODTsWZEI3egceTACCfH0s222E4kYiIbGFZSSKRe912MnmewTRSCSrO6l6aaHSR20okZqB/FiIi1SMc/j88ns0AFArvI5s9znAiGWz6LVznIpGf4/W+A0Cx+B7S6dMMJxIRka0cotEfua3SWDP96h7q9BOuawVisQVuK5GYDgTMxRERkTLB4CP4/S8CYNtRUinto1kPVJzVsVDoN2Vr5qRSZxtOJCIivfUedpJKfRbHaTCYRipFxVndcsq2akomp+E4UYN5RESkN6/3ZYLBh9y2JgLUDxVndSoYXEEg8AwAth0imTzfcCIREektGr2t164tkykWRxtOJJWi4qxOxWLz3ONU6kxsu81gGhER6c2yeohE7nHbyeQXDKaRSlNxVof8/rUEg48C4DheksmLDCcSEZHeIpGf9lp/cgzZ7LGGE0klqTirQ717zdLpUykW9zGYRkREyhXftXzGF9Cv6/qin3ad8XrXEwo96LYTiZkG04iIyLuFQr/D53sVgGKxhVTqU4YTSaWpOKszsdjCsgGmhcKBhhOJiEhv0egt7nEq9TkgbC6MGKHirI54PG8RidznthOJSw2mERGRdyuNCV4FgOP4SSY/bziRmKDirI7EYrdiWTkAcrkPkcsdaTiRiIj0FostdI/T6U9i2yMMphFTVJzVCcvqJhK5020nEpcAlrlAIiJSxut9jVDoN247kdBM+nql4qxORKN39JqWPZZM5mOGE4mISG/R6CIsqwhANvthCoUPGE4kpqg4qwtpotFb3VYicTH60YuIVA/L2kwk8hO3nUhMN5hGTNNv6DoQifwcr7cTgGLxPaTTU8wGEhGRMpHIT3rd3difbHay4URikoqzIa9QNsC09NdYwFwcERF5lxyx2NblM5LJ6ejXc33TT3+IC4V+g8/3CgC23UwqdbbZQCIiUiYc/gVe71sAFIvDtOis4DMdAOCSSy4hFArh8Xjwer3MmjWLRCLBnDlzeOeddxg2bBhXXnklsVjMdNQa4xCLzXdbyeQ0HCdqMI+IiJRzyu5uJJPnASFzcaQqVEVxBvDf//3fNDY2uu3FixdzyCGHMGXKFBYvXszixYs555xzDCasPcHgCgKBZwCw7RDJ5PmGE4mISG/B4DL8/r8BYNsRkslzDSeSalC1tzVXrVrFxIkTAZg4cSKrVq0ynKj29N7gPJU6E9tuM5hGRETeLRa72T1Opc7EcVoMppFqUTU9Z9/85jcB+NjHPkZHRwfd3d20tJT+kTY3N9Pd3W0yXs0pbQHyKACO4yWZ1GKGIiLVZNvr9IWGE0m1qIri7Otf/zqtra10d3fzjW98g5EjR5Z93bIsLGvb1eyXLFnCkiVLAJg1axbt7e19fk+fz7dbj68Wfc3t821d18y2P0NLy2GDGatPavUzh9rNXqu5obazi/RF77sb6fSpFIv7GEwj1aQqirPW1lYAmpqaOOKII1i/fj1NTU10dXXR0tJCV1dX2Xi0LTo6Oujo6HDbnZ2dfX7P9vb23Xp8tehLbq93PcOHL3bbGzdeQKFg/nut1c8cajd7reaGvmV/9x9yIrXC6/07odCDbru0OLhIifExZ5lMhnQ67R7/9a9/Zd9992X8+PEsX74cgOXLl3PEEUeYjFlTYrGFWJYDQCYzmULhIMOJRESkN12nZWeM95x1d3fzve99D4BischHPvIRxo0bx3777cecOXNYunSpu5SG7JrH8xaRyH1uu7TBuYiIVIvSdfrnblvXaXk348XZXnvtxQ033LDN+YaGBq677joDiWpbLHYrlpUDIJf7ELncUYYTiYhIb7HYD3tdpw/XdVq2Yfy2pgwcy+omErnTbZf+Gtt2IoWIiJhhWfGy63RPz2XoOi3vpuJsCIlG7+i1ce5YMpmPGU4kIiK9xWK34fGkAMjnDySb7djFM6QeqTgbMtJEo4vcVmnmj368IiLVwrISRKM/ctuJxKXoOi3bo38VQ0Qk8nO83ncAKBbfQzo9xWwgEREpE4nchcezCYBC4b2k0yebDSRVS8XZkFAo2zg3kZgOBMzFERGRd0kTiy1wW6W7G8bn5EmVUnE2BIRCv8HnewUA224mlTrbbCARESkTjf607O5GKvUZw4mkmqk4q3kOsdh8t5VMTsNxogbziIhIuWzZdTqRmAkEzcWRqqfirMYFg48QCDwDgG2HSCbPN5xIRER6K40JfhOAYnEYyeSZhhNJtVNxVuNisR+4x6nUmdh2m8E0IiJSLl92nU4kZgBhc3GkJqg4q2F+/1qCwUcBcBwvyeRFhhOJiEhvkch9+HyvAlAstpBKfc5wIqkFKs5qWCw2zz1Op0+hWNzHYBoRESmXJxa70W0lkzM0Jlj6RMVZjfJ6/04o9KDbLg0wFRGRahEO34/P90+gNJM+mZxmNpDUDBVnNSoWW4BlOQBkMpMpFA4ynEhERLYq0NCwtdcskbgIx4kZzCO1RMVZDfJ43iYSuc9tq9dMRKS6hMP/V7b+ZDJ5ntlAUlNUnNWgaPRWLCsHQC53OLncBMOJRERkqzwNDXPcViIxHcdpMJhHao32jqg5m4hG73BbpY1zLXNxRIaIzs5O5s2bx6ZNm7Asi46ODk488UQSiQRz5szhnXfeYdiwYVx55ZXEYjEcx+G2225jzZo1BINBZs6cyejRowFYtmwZ999/PwCnn346kyZNMvidSaVFIveWzdBMJi8wnEhqjYqzGuPx3ILHkwAgnx9DJvMxw4lEhgav18vnPvc5Ro8eTTqd5pprruHQQw9l2bJlHHLIIUyZMoXFixezePFizjnnHNasWcNbb73FjTfeyIsvvsitt97Kt771LRKJBPfddx+zZs0C4JprrmH8+PHEYhpvVB+yxGL/67aSyZkaaya7Tbc1a0oGr/cmt1XaOFc/QpGB0NLS4vZ8hcNhRo0aRTweZ9WqVUycOBGAiRMnsmrVKgCeeOIJjjvuOCzLYuzYsSSTSbq6uli7di2HHnoosViMWCzGoYceytq1a019W1JhkchP8fleB6BYbNMMTdkj+s1eQyKRn2NZbwOljXPT6dMMJxIZmjZs2MDLL7/M/vvvT3d3Ny0tLQA0NzfT3d0NQDwep7293X1OW1sb8XiceDxOW9vWnTpaW1uJx+OV/QbECMtKv2uG5kwcJ2IwkdQq3dasGUVisQVuK5G4EAiYiyMyRGUyGWbPns20adOIRMp/sVqWhWUN3BjPJUuWsGTJEgBmzZpVVuztjM/n6/Njq02tZu9Lbo/n+3i9pT+gHWck4fB/EA6b36qpVj9zqN3s/c2t4qxGhEK/KZuWnUqdYzaQyBBUKBSYPXs2xx57LEcddRQATU1NdHV10dLSQldXF42NjUCpR6yzs9N97saNG2ltbaW1tZV169a55+PxOAcdtP11CDs6Oujo6HDbvV9vZ9rb2/v82GpTq9l3lduyehg+/Ltuu7v7UlKpJJCsQLqdq9XPHGo3e19yjxw5codf023NmuAQi813W8nkNG0BIjLAHMdhwYIFjBo1ipNPPtk9P378eJYvXw7A8uXLOeKII9zzK1aswHEcXnjhBSKRCC0tLYwbN46nnnqKRCJBIpHgqaeeYty4cSa+JamgaPRWvN4uAAqFfUilzjScSGqZes5qQDD4CIHA0wA4Tphk8nzDiUSGnueff54VK1aw7777cvXVVwNw5plnMmXKFObMmcPSpUvdpTQADjvsMFavXs3ll19OIBBg5szSYtCxWIxPfepTXHvttQB8+tOf1kzNIc7jiZcNO+npuQoNO5H+UHFWA2KxH7jHtj0N227byaNFZE8ccMAB3Hvvvdv92nXXXbfNOcuy+MIXvrDdx0+ePJnJkycPaD6pXrHYTWVLHKXTpxtOJLVOtzWrnN//FMHgowA4jpdi8QqzgURExOXxvE40ervb7un5T9TvIf2l4qzK9e41S6dPAd5rLIuIiJRraJiDZWUByOUOI5P5hOFEMhSoOKtiXu/fCYUedNva4FxEpHr4fC8SidzjtjdvvhZtpycDQcVZFYvFFmJZDgCZzGQKhe1PxxcRkcpraPgWlmUDkMkcRy73YcOJZKhQcValPJ63iUR+7rYTiUsMphERkd4CgccJh//gtjdv/orBNDLUqDirUtHorVhWDoBc7nByuaMMJxIRkRKHxsavu61U6nQKhQ8YzCNDjYqzKmRZ3USjd7jtUq+ZxjGIiFSDUOhBAoHVADhOgJ6eLxlOJEONirMqFI3e2WvNnP3JZE4wnEhEREpyNDZ+020lk5+nWNzHYB4ZilScVZ0M0eitbqs0Q1M/JhGRahCN3tFrn+Mmenr+n9lAMiTpt36ViUR+jtf7DgDF4gjS6dMMJxIREQDL2kRDwxy33dPz/3CcFoOJZKhScVZVimX7syUS09H+bCIi1aGh4UY8nk0AFAr/RjI5zWgeGbpUnFWRUOg3Zd3lqdTZZgOJiMi/rCca/ZHbKi04GzQXR4Y0FWdVwyEWm++2kslpOE7MYB4REdnC57sWy8oDkMuNJ5M52XAiGcpUnFWJQOARAoGnAbDtEMnkBYYTiYgIQCDwJzyeX7rt7u6voeWNZDCpOKsSDQ3z3ON0+gxsu81gGhERKSnS1HS920qlPk0+P85YGqkPKs6qgN//FMHgnwBwHC+JxAzDiUREBCASuRu//28A2HaYzZuvMZxI6oGKsyoQi/XuNTtFCxqKiFQBy+qisfE7bjuRuATbfo/BRFIvVJwZ5vW+RCj0W7ddWnRWRERMa2z8nrt0huO8l0TiYrOBpG6oODMsFluAZTkAZDKTKRQOMpxIRER8vr8RiWzd47hQ+C4QMhdI6oqKM4M8nreJRH7utksbnIuIiFkOTU1fwbJsALLZY3GcUwxnknqi4sygaPRWLCsHQC53OLncUYYTiYhIOHw/weBfAHAcH93d/4OWzpBKUnFmiGVtJhq9022Xes30H7+IiEmWtZnGxm+47WTyQgqFsQYTST1ScWZINHoHHk8PAPn8GDKZEwwnEhGRhobv4fVuAKBYHEFPzxVmA0ldUnFmRIZo9Fa3VZoBpB+FiIhJPt8zRKO3ue3u7uu0jZ4YoYrAgEjkPrzed4DSX2bp9GmGE4mI1Lsizc3X9JoE8BEyGU0CEDNUnFVckVjsZreVSEwHAubiiIgIkcjdBAJrAHCcAJs2fQuNAxZTVJxVWCj0W3y+VwCw7SZSqbPNBhIRqXMezwYaG7/tthOJSykW9zOYSOqdirOKcsq2akomp2k8g4iIYU1N1+HxbAagUHgvPT1ac1LMUnFWQYHAIwQCTwPgOCGSyfMNJxIRqW/B4B8Jh3/ltjdtmoV2AhDTVJxVUEPD1l6zVOoMbLvdYBoRkfpmWUmamr7stlOpz5DLHWswkUiJz+Sbd3Z2Mm/ePDZt2oRlWXR0dHDiiSdy77338tBDD9HY2AjAmWeeyeGHH24yar/5/U8RDP4JAMfxkkhcZDiRiEh9a2iYhc/3BgDFYiubN19nOJFIidHizOv18rnPfY7Ro0eTTqe55pprOPTQQwE46aSTOOWUoTONufdYs3T6kxSL+xpMIyJS3wKBVWVrmm3efD223WoukEgvRouzlpYWWlpaAAiHw4waNYp4PG4y0qDwel8iFPqt204kZhpMIyJS7zI0NX0Ry3JKrcxk0unTDWcS2apqxpxt2LCBl19+mf333x+A3//+93zxi19k/vz5JBIJw+n6JxZb0Osi8FEKhYMNJxIRqV8NDXPx+9cDYNtRurtnoTXNpJoY7TnbIpPJMHv2bKZNm0YkEuGEE07g05/+NAD33HMPd9xxBzNnbtvbtGTJEpYsWQLArFmzaG/v+wB7n8+3W4/fc2/i9//cbXm9X+7X+1Yu98BT9sqr1dxQ29mlevn9a4nF5rvtzZu/QrE4ymAikW0ZL84KhQKzZ8/m2GOP5aijjgKgubnZ/frxxx/Pd77zne0+t6Ojg46ODrfd2dnZ5/dtb2/frcfvqYaG7xII5ADI5Q6js/NAYM/ft1K5B4OyV16t5oa+ZR85cmSF0sjQkKG5+UosqwhANns0qdTnDGcS2ZbR25qO47BgwQJGjRrFySef7J7v6upyjx9//HH22WcfE/H6zbI2E43e6bYTiUtR17mIiBkNDd/H738BANuOsGnTbKpodI+Iy2jP2fPPP8+KFSvYd999ufrqq4HSshmPPvoor7zyCpZlMWzYMKZPn24y5h6LRu/A4+kBIJ/fn0zmBMOJRETqk9+/qmxf49LtzH8zmEhkx4wWZwcccAD33nvvNudrfU2zkgzR6K1uqzRDU3+hiYhUmmUlaWm5AsuyAchmjyGVOtdwKpEdU7UwSCKR+/B63wGgWBxBOn2a4UQiIvWpsfHr+HyvAGDbDWzaNBf9+pNqpn+dg6JY1n2eSEwHAubiiIjUqWDwobKxv93d/6PZmVL1VJwNglDot73+SmsilTrbbCARkTrk8XTS3HyV206n/510+jMGE4n0jYqzAeeUbdWUTE7DcWIG84iI1COH5uar8HpLy7EUi8Pp7v4OmjEvtUDF2QALBB4hEHgaAMcJkUyebziRiEj9iURuJxR6yG1v2jQX224zmEik71ScDbCGhq29ZqnUGdi2VjgXEakkn28dTU3/47YTiS+QzU40mEhk96g4G0B+/1MEg38CwHG8JBIXGU4kIlJfLCtFS8vFWFYWgHz+QDZvvtZwKpHdo+JsAPUea5ZOf5JicV+DaURE6k9j41d7bWoepqtrARAyG0pkN6k4GyBe70uEQr9126VFZ0VEpFLC4Z8Tjf7MbXd3f5NCYX+DiUT2jIqzARKLLcCyHAAymY9SKBxsOJGISP3w+V6gqWnr7ctU6nTS6akGE4nsORVnA8DjeZtI5OduO5G4xGAaEZH6UhpnNh2PJw2U9jLu7p6Fls2QWqXibABEo4uwrBwAudxh5HITDCcSEakXDk1NX8TvfxEA2w7R1bUQx4kaziWy51Sc9ZNlbSYavcNtl3rN9NeaiEglRKO3Eon8wm13d3+bQuEAg4lE+k/FWT9Fo3fi8fQAkM/vRybzccOJRETqQyDwGI2NX3fbyeTnNM5MhgQVZ/2SIRq91W2VZmjqIxURGWxe7+u0tEzHsopAaUhJd/fXDKcSGRiqJPohErkPr3cDAMXiCNLp0wwnEhEZ+iwrTUvLBXi9GwEoFtuIxxcCQbPBRAaIirM9ViQWu9ltJRIXoguDiMhgc2hqurrXHsY+urp+iG2PMpxLZOCoONtDodBv8fleAcC2m0ilzjEbSESkDsRiNxKJPOC2u7v/RzPkZchRcbZHHGKx+W4rmfw8jhMzmEdEZOgLhX5NY+N33XYyeTap1LkGE4kMDhVneyAQeIRA4K8AOE6IZPICw4lERIY2v38tzc3/z21ns8fQ3f1NtHSRDEUqzvZAQ8PWXrNU6rPYdrvBNCIiQ5vX+09aWz+Px5MBoFB4H/H4DwG/2WAig0TF2W7y+/9KMPgIAI7jIZG4yHAiEZGhy7K6aG09B6+3EwDbbmbjxttxnBbDyUQGj4qz3RSLzXOP0+lTKBb/zWAaEZGhLE1r6/n4/X8HwHGCxOO3USzuZziXyOBScbYbvN6XCIV+47YTiYsNphERGcoKtLTMJBh83D3T1TWHXO5Ig5lEKkPF2W6IxRZgWQ4AmcxHKRQ+YDiRiMhQ5NDUdA3h8B/cM93d15HJnGowk0jlqDjrI4/nbSKRn7vt0gbnIiIysBwaG79ONPpT90xPz0ySSY3vlfqh4qyPotFFWFYOKO3hpkUPRUQGXiw2l1hsodtOpT5DT8+XDSYSqTwVZ31gWZuJRu9w26VeM62tIyIykKLRBTQ2fs9tp9P/zqZN30PXW6k3Ks76IBq9E4+nB4B8fn8ymY8bTiQiMrREo7fQ1PR1t53JTKSrax7gMxdKxBAVZ7uUIRq91W2VZmjqYxMRGSjR6CKamq5329ns0XR13QoEjWUSMUl/kuxCJHIfXu8GAIrFEaTTpxlOJCIydESjC8p6zLLZI4nHb8dxIgZTiZil4mynisRiN7utROJC9JeciMhAcIjFbizbyDyXG088fieOEzWYS8Q8FWc7EQr9Fp/vFQBsu4lU6hyzgUREhgSHxsZvEIstcM9ksxOIx+9QYSaCirOdcIjFtm5wnkx+HseJGcwjIjIUFGhqurpsHbNs9iPE47fpVqbIv6g424FA4E8EAn8FwHFCJJMXGE4kIlLbLCuFz3chgcBv3XPp9Cf+NSszZC6YSJVRcbYDDQ1bNzhPpT6LbbcbTCMiUts8no20tn4ej2eNey6V+sy/1jHTryKR3vRfxHb4/X8lGHwEAMfxkEho2xARkT3l871Aa+vn8fn+6Z7r6bmUnp5r0AKzIttScbYdsdjWXrN0+pMUi/9mMI2ISO0KBpfR0jLDXcjbcSy6u79BKjXNbDCRKqbi7F283pcIhbaOh0gkZhpMIyJSqxxisZtpaPg2lmUDYNsRisU7SaW0N7HIzqg4e5dYbIF7IclkJlEofMBwIhGR2mJZSZqbv0g4/Ev3XLH4HjZuvJ3m5olAp7lwIjVAxVkvHs8GIpH73HZpg3MREekrn+85Wlqm4/f/3T2XzR5BV9cPse3hBpOJ1A5tEtlLNLoIy8oCkMsdRi53tOFEIiK1wiES+Qnt7SeVFWbJ5Lls3HivCjOR3aCes3+xrM1Eo7e77VKvmWYRiYjsimV10dz8JcLhreN1bTtMd/cs0ulPG0wmUptUnP1LNHqXO5son9+PTObjhhOJiFS/YPCPNDd/Ca93g3sunx9LV9dCCoWxBpOJ1C4VZwBkiEZvcVulGZq64ysisiOWFaep6Wtl43ShtNXd5s1fxXHChpKJ1D4VZ0Ak8n/uX33F4gjS6dMMJxIRqVYO4fD/0dj4NbzeuHu2WBzGpk3fJZs9wWA2kaFBxRnFsg3OE4kLgaC5OCIiVcrne4ampusIBv9Sdj6VOo3u7v/BcVoNJRMZWuq+OAuFHsTnewUA224ilTrHbCARkSrj8bxFQ8P3iUR+6q4DCVAojKS7+5vqLRMZYHVenDllWzUlk5/HcWIG84iIVA/LihOL/ZBo9BY8nox73nF8JJMX0NPzHzhO1GBCkaGprouzQOBPBAJ/BcBxQiSTFxhOJCJinsfTSTR6K9Hoj/B4kmVfy2QmsXnz1ygU9jeUTmToq+virPdYs1Tqs9h2u8E0IiJm+XwvEI3eSiRyn7sg9xa53Afo6fkK2exxhtKJ1I+6Lc4saw2h0AoAHMdDInGR4UQiIiakCYd/TyRyF8Hgn7f5aj7/fnp6/h+ZzCfREkMilVG3xZnH8z33OJ0+hWLx3wymERGppBzB4KOEQr8mHP6NuwB32SNyHySRuJhM5iRUlIlUVlUXZ2vXruW2227Dtm2OP/54pkyZMiCv6/W+jMdzv9tOJC4ekNcVEdlisK5fe8rjeZNg8BGCwWWEQsvweLq3eYzjeMlkPk4yeT653AS0hZ2IGVVbnNm2zaJFi/iv//ov2trauPbaaxk/fjx77713v187FlvgTgfPZCZRKHyg368pIrLFYF6/ds3B44nj872I3/8Mfv9fCQRW4fP9c4fPKBTeRyr1KVKpM7Dt91Qgo4jsTNUWZ+vXr2fEiBHstddeABxzzDGsWrWq3xc3j2cDkcjP3XZpg3MRkYEzWNcvr/c1gsHleDwBotFNWFYOy9qMx7MJj2cDXu9b+Hz/xOPZtMvXKhRGkcmcSDr9SfL5w1EvmUj1qNriLB6P09bW5rbb2tp48cUX+/260egidxZSLncYudzR/X5NEZHeBuv65fOto7n5SwA0Ne3ec207RD5/ONnspH/dMTgIFWQi1alqi7O+WLJkCUuWLAFg1qxZtLfvaimMLH7/T9yWZV1Le/uwQUw48Hw+Xx++z+qk7JVXq7mhtrP31e5ewyyrb5+H40RxnDE4zqE4zjgcZzyOcxiWFSAUglCo39H3WK3+XGs1Nyi7Cf3NXbXFWWtrKxs3bnTbGzdupLW1fN+2jo4OOjo63HZnZ+cuX9fr/TWx2ELC4bW8887RwK6fU03a29v79H1WI2WvvFrNDX3LPnLkyAql2T19uX7B7l/DfL4GotGzCIUaSKcLQADbbsC2m7DtNorFkRSLI7HtEWzbK7a5H9/RwKnVf5O1mhuU3YT+Xr+qtjjbb7/9ePPNN9mwYQOtra2sXLmSyy+/vN+vWyz+G93d38LvbwG6+h9URORdBuv6VSiMobv7Bvz+djZvrr1fWCLSN1VbnHm9Xs4//3y++c1vYts2H/3oR9lnn30G8h0G8LVERLYa/OuXiAxlVVucARx++OEcfvjhpmOIiOw2Xb9EZE9p2WcRERGRKqLiTERERKSKqDgTERERqSIqzkRERESqiIozERERkSqi4kxERESkiqg4ExEREakiKs5EREREqoiKMxEREZEqouJMREREpIqoOBMRERGpIirORERERKqIijMRERGRKqLiTERERKSKqDgTERERqSIqzkRERESqiIozERERkSqi4kxERESkiqg4ExEREakiKs5EREREqojlOI5jOoSIiIiIlNRtz9k111xjOsIeqdXcoOwm1GpuqO3sg62WP5tazV6ruUHZTehv7rotzkRERESqkYozERERkSpSt8VZR0eH6Qh7pFZzg7KbUKu5obazD7Za/mxqNXut5gZlN6G/uTUhQERERKSK1G3PmYiIiEg18pkOUGlr167ltttuw7Ztjj/+eKZMmWI60g51dnYyb948Nm3ahGVZdHR0cOKJJ5JIJJgzZw7vvPMOw4YN48orryQWi5mOuw3btrnmmmtobW3lmmuuYcOGDcydO5eenh5Gjx7NZZddhs9Xff8Ek8kkCxYs4NVXX8WyLC6++GJGjhxZE5/5r3/9a5YuXYplWeyzzz7MnDmTTZs2Vd3nPn/+fFavXk1TUxOzZ88G2OG/a8dxuO2221izZg3BYJCZM2cyevRoo/lNqpVrWK1fv6A2r2G6flXGoF/DnDpSLBadSy+91HnrrbecfD7vfPGLX3ReffVV07F2KB6PO3//+98dx3GcVCrlXH755c6rr77q3Hnnnc4DDzzgOI7jPPDAA86dd95pMOWO/epXv3Lmzp3rfPvb33Ycx3Fmz57t/OlPf3Icx3EWLlzo/P73vzcZb4duuukmZ8mSJY7jOE4+n3cSiURNfOYbN250Zs6c6WSzWcdxSp/3ww8/XJWf+7PPPuv8/e9/d6666ir33I4+4yeffNL55je/6di27Tz//PPOtddeayJyVaila1itX78cpzavYbp+VcZgX8Pq6rbm+vXrGTFiBHvttRc+n49jjjmGVatWmY61Qy0tLW51HQ6HGTVqFPF4nFWrVjFx4kQAJk6cWJXfw8aNG1m9ejXHH388AI7j8OyzzzJhwgQAJk2aVJW5U6kUf/vb35g8eTIAPp+PaDRaE585lP7Sz+VyFItFcrkczc3NVfm5H3TQQdv85b6jz/iJJ57guOOOw7Isxo4dSzKZpKurq+KZq0EtXcNq+foFtXkN0/Wrcgb7Gma+b7CC4vE4bW1tbrutrY0XX3zRYKK+27BhAy+//DL7778/3d3dtLS0ANDc3Ex3d7fhdNv68Y9/zDnnnEM6nQagp6eHSCSC1+sFoLW1lXg8bjLidm3YsIHGxkbmz5/PP/7xD0aPHs20adNq4jNvbW3lk5/8JBdffDGBQIAPfvCDjB49uiY+d2CHn3E8Hqe9vd19XFtbG/F43H1sPanVa1itXb+gNq9hun6ZNZDXsLrqOatVmUyG2bNnM23aNCKRSNnXLMvCsixDybbvySefpKmpqSbHBRWLRV5++WVOOOEEvvvd7xIMBlm8eHHZY6rxM4fSeIdVq1Yxb948Fi5cSCaTYe3ataZj7ZFq/Yxl99Xa9Qtq9xqm61f16O/nXFc9Z62trWzcuNFtb9y4kdbWVoOJdq1QKDB79myOPfZYjjrqKACampro6uqipaWFrq4uGhsbDacs9/zzz/PEE0+wZs0acrkc6XSaH//4x6RSKYrFIl6vl3g8XpWffVtbG21tbYwZMwaACRMmsHjx4qr/zAGefvpphg8f7mY76qijeP7552vic4cd/7tubW2ls7PTfVwt/Hc7WGrtGlaL1y+o3WuYrl9mDeQ1rK56zvbbbz/efPNNNmzYQKFQYOXKlYwfP950rB1yHIcFCxYwatQoTj75ZPf8+PHjWb58OQDLly/niCOOMBVxu8466ywWLFjAvHnzuOKKK/jABz7A5ZdfzsEHH8xjjz0GwLJly6rys29ubqatrY033ngDKF0w9t5776r/zAHa29t58cUXyWazOI7jZq+Fzx12/O96/PjxrFixAsdxeOGFF4hEInV5SxNq6xpWq9cvqN1rmK5fZg3kNazuFqFdvXo1t99+O7Zt89GPfpTTTz/ddKQdeu6557juuuvYd9993e7RM888kzFjxjBnzhw6Ozurelo0wLPPPsuvfvUrrrnmGt5++23mzp1LIpHgfe97H5dddhl+v990xG288sorLFiwgEKhwPDhw5k5cyaO49TEZ37vvfeycuVKvF4v733ve5kxYwbxeLzqPve5c+eybt06enp6aGpqYurUqRxxxBHb/Ywdx2HRokU89dRTBAIBZs6cyX777Wc0v0m1cg0bCtcvqL1rmK5flTHY17C6K85EREREqlld3dYUERERqXYqzkRERESqiIozERERkSqi4kxERESkiqg4ExEREakiKs5EREREqoiKM9ktU6dO5XOf+xw//elPTUfZxrPPPsuMGTP69Nhly5bx1a9+dY/eZ2fPnTdvHmeffXafc4hI5ej6petXrVBxJrvthhtu4MwzzwRKG+1ecskl/Xq9DRs2MHXqVIrF4kDEq7ipU6e6x5dccglf/vKXDaYRkZ3R9aucrl/VScWZiIiISBWpq43PZfAtXryYBx98kHQ6TUtLC1/4whc45JBDsG2bX/7ylzz00EMkk0k+8IEPMH36dGKxGP/93/8NwLRp0wD46le/ytixY7f7+rfccgvd3d188YtfBOCuu+7ipZde2m43/eLFi3nooYfo7u6mra2NM888kyOPPLLsMYsWLWLFihW0tLRwwQUXcMghhwCQSqW4/fbbWbNmDZZl8dGPfpSpU6fi8ejvGZGhStcvqRqOyG74zGc+47z55pvb/drrr7/uzJgxw9m4caPjOI7z9ttvu4/9zW9+43z5y192Ojs7nVwu5yxcuNCZM2eO+7jPfOYzTqFQ2OX7ZzIZ5/LLL3cefvhhZ926dc7555/vdHZ2Oo7jOM8884xz0UUXuY9duXKls3HjRqdYLDqPPvqoc8455zjxeNxxHMd5+OGHnc9+9rPOr371KyefzzuPPvqoc+655zo9PT2O4zjOd7/7XWfhwoVOOp12Nm3a5FxzzTXOH/7wB/e5//Vf/7XDjO/OISLVQdcvXb9qhcpoGTAej4d8Ps9rr73mbro7YsQIAP74xz9yxhln0NbWht/v5zOf+Qx/+ctfdnucRjAY5NJLL+X222/npptu4rzzzqOtrW27jz366KNpbW3F4/FwzDHHMGLECNavX+9+vampiZNOOgmfz8cxxxzDyJEjWb16NZs2bWLNmjVMmzaNUCjkPm7lypV7/uGISFXT9UuqiW5ryoAZMWIE06ZN4+c//zmvvfYaH/zgBzn33HNpbW3lnXfe4Xvf+x6WZbmP93g8dHd37/b7jBkzhr322ovu7m6OOeaYHT5u+fLl/PrXv+add94BIJPJ0NPT4369tbW1LM+wYcOIx+N0dnZSLBaZPn26+zXHcXZ4ERWR2qfrl1QTFWcyoD7ykY/wkY98hFQqxQ9/+EPuvvtuLrvsMtra2rj44os54IADtnnOlotPX/3ud78jn8/T2trKL37xC0477bTtvubChQu57rrrGDt2LB6Ph6uvvhrHcdzHxONxHMdxL3CdnZ2MHz+etrY2fD4fixYtwuv17uYnICK1StcvqRa6rSkD5o033uCZZ54hn88TCAQIBALuheNjH/sYP/vZz9wL2ebNm1m1ahUAjY2NWJbF22+/3af3uOeee7jsssu49NJL+eUvf8krr7yyzeOy2SyWZdHY2AjAww8/zKuvvlr2mO7ubh588EEKhQJ//vOfef311znssMNoaWnhgx/8IHfccQepVArbtnnrrbdYt25dfz4eEaliun5JNVHPmQyYfD7P3Xffzeuvv47X6+X973+/27V+4oknAvCNb3yDrq4umpqaOProozniiCMIBoOcfvrpfPWrX6VYLPLlL395u7OdisUiN910E6eeeirvfe97ATjzzDO56aabmDVrVtlj9957b04++WS+8pWv4PF4OO6443j/+99f9pgxY8bw5ptvcsEFF9Dc3MxVV11FQ0MDAJdeeil33303V111Fel0mr322otTTz11oD8yEakSun5JNbGc3v2kIrtw9tln4/P5+Pd//3fOOOMM03Gqzs0338xjjz1GY2MjN910k+k4ItKLrl87p+tX9VBxJiIiIlJFdFtTqs4Pf/hDHnnkkW3OH3vssWUzkEREqo2uXzIQ1HMmIiIiUkU0W1NERESkiqg4ExEREakiKs5EREREqoiKMxEREZEqouJMREREpIr8f4ctfCTNc/BhAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "# your code here\n" + "fig, ax = plt.subplots(1,2, figsize=(10, 10))\n", + "#plt.figure(figsize=(20, 0))\n", + "ax[0].set_xlabel(['set_xlabel'])\n", + "ax[0].set_ylabel(['set_ylabel'])\n", + "ax[0].plot(x,y, linewidth=3, c='yellow')\n", + "\n", + "ax[1].set_xlabel(['set_xlabel'])\n", + "#ax[1].set_ylabel(['set_ylabel'])\n", + "ax[1].plot(x,z, linewidth=3, c='yellow');" ] }, { @@ -138,11 +276,27 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "# your code here\n" + "# your code here\n", + "w=np.exp(x)\n", + "\n", + "plt.plot(x,z)\n", + "plt.plot(x,w, c='blue')\n", + "plt.yscale('log')" ] }, { @@ -156,75 +310,221 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Scatter Plot\n", "\n", "Please provide a scatter plot between \"Combined MPG\" as X variable and \n", "\"Highway MPG\" as Y variable" - ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ - "# your code here\n" + "# your code here\n", + "vehicles = pd.read_csv('vehicles.csv')\n" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "data": { + "text/html": [ + "
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35952 rows × 2 columns

\n", + "
" + ], + "text/plain": [ + " Combined MPG Highway MPG\n", + "0 17 17\n", + "1 13 13\n", + "2 16 17\n", + "3 13 13\n", + "4 16 21\n", + "... ... ...\n", + "35947 36 38\n", + "35948 36 38\n", + "35949 36 38\n", + "35950 36 39\n", + "35951 35 39\n", + "\n", + "[35952 rows x 2 columns]" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "grupo = vehicles[['Combined MPG', 'Highway MPG']]\n", + "grupo" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "x = grupo['Combined MPG']\n", + "y = grupo ['Highway MPG']\n", + "plt.scatter(x, y);" + ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Box Whisker Plot\n", "\n", "Please provide a box plot of the variable \"CO2 Emission Grams/mile\"" - ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "# your code here\n" + "# your code here\n", + "x = vehicles['CO2 Emission Grams/Mile']\n", + "plt.boxplot(x);" ] }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Histogram\n", "\n", "Please provide a histogram of the Fuel Barrels/Year" - ] }, { "cell_type": "code", - + "execution_count": 14, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "# your code here\n" + "# your code here\n", + "vehicles['Fuel Barrels/Year'].hist(bins=50); #" ] }, { @@ -238,20 +538,64 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Bar Chart\n", "\n", "Please provide a bar chart of the Fuel Type on the X axis and \"City MPG\" on the Y axis" - ] }, { "cell_type": "code", - + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ - "# your code here\n" + "# your code here\n", + "x = vehicles['Fuel Type']\n", + "y = vehicles ['City MPG']" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12],\n", + " [Text(0, 0, ''),\n", + " Text(0, 0, ''),\n", + " Text(0, 0, ''),\n", + " Text(0, 0, ''),\n", + " Text(0, 0, ''),\n", + " Text(0, 0, ''),\n", + " Text(0, 0, ''),\n", + " Text(0, 0, ''),\n", + " Text(0, 0, ''),\n", + " Text(0, 0, ''),\n", + " Text(0, 0, ''),\n", + " Text(0, 0, ''),\n", + " Text(0, 0, '')])" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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DateCalorie burnedStepsDistanceFloorsMinutes SedentaryMinutes Lightly ActiveMinutes Fairly ActiveMinutes Very ActiveActivity Calories...Distance_milesDaysDays_encodedWork_or_WeekendHours SleepSleep efficiencyYesterday_sleepYesterday_sleep_efficiencyMonthsMonths_encoded
02015-05-0819349050.6501.35546001680...0.403891Friday4.016.40000092.0863310.0000000.000000May5
12015-05-0936311892514.114611.00031661602248...8.767545Saturday5.007.56666792.4643586.40000092.086331May5
22015-05-1032041422810.571602.00022614771719...6.567891Sunday6.006.45000088.7614687.56666792.464358May5
32015-05-11267367565.028749.0001902349620...3.119282Monday0.015.18333388.8571436.45000088.761468May5
42015-05-1224955023.731876.000171007360...2.317714Tuesday1.016.78333382.8920575.18333388.857143May5
\n", + "

5 rows × 24 columns

\n", + "
" + ], + "text/plain": [ + " Date Calorie burned Steps Distance Floors Minutes Sedentary \\\n", + "0 2015-05-08 1934 905 0.65 0 1.355 \n", + "1 2015-05-09 3631 18925 14.11 4 611.000 \n", + "2 2015-05-10 3204 14228 10.57 1 602.000 \n", + "3 2015-05-11 2673 6756 5.02 8 749.000 \n", + "4 2015-05-12 2495 502 3.73 1 876.000 \n", + "\n", + " Minutes Lightly Active Minutes Fairly Active Minutes Very Active \\\n", + "0 46 0 0 \n", + "1 316 61 60 \n", + "2 226 14 77 \n", + "3 190 23 4 \n", + "4 171 0 0 \n", + "\n", + " Activity Calories ... Distance_miles Days Days_encoded \\\n", + "0 1680 ... 0.403891 Friday 4.0 \n", + "1 2248 ... 8.767545 Saturday 5.0 \n", + "2 1719 ... 6.567891 Sunday 6.0 \n", + "3 9620 ... 3.119282 Monday 0.0 \n", + "4 7360 ... 2.317714 Tuesday 1.0 \n", + "\n", + " Work_or_Weekend Hours Sleep Sleep efficiency Yesterday_sleep \\\n", + "0 1 6.400000 92.086331 0.000000 \n", + "1 0 7.566667 92.464358 6.400000 \n", + "2 0 6.450000 88.761468 7.566667 \n", + "3 1 5.183333 88.857143 6.450000 \n", + "4 1 6.783333 82.892057 5.183333 \n", + "\n", + " Yesterday_sleep_efficiency Months Months_encoded \n", + "0 0.000000 May 5 \n", + "1 92.086331 May 5 \n", + "2 92.464358 May 5 \n", + "3 88.761468 May 5 \n", + "4 88.857143 May 5 \n", + "\n", + "[5 rows x 24 columns]" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "fitbit=pd.read_csv('Fitbit2.csv')\n", "\n", @@ -82,11 +295,43 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ - "# Driver 1 enter codes here\n" + "# Driver 1 enter codes here\n", + "#fitbit.groupby('Months_encoded').agg({'Steps': 'mean'})\n", + "pasos_mes = fitbit.groupby('Months_encoded').agg({'Steps':'mean'})" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "y = pasos_mes['Steps']\n", + "x = range(1, 13)\n", + "\n", + "plt.figure(figsize=(12,4))\n", + "plt.plot(x,y)\n", + "plt.ylabel('Pasos')\n", + "plt.xlabel('Mes')\n", + "plt.grid() #cuadricula\n", + "plt.xticks(x);" ] }, { @@ -102,6 +347,46 @@ "1. **`Minutes Sedentary` vs `Steps`**" ] }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'Minutes')" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "equis = ['Minutes Lightly Active', 'Minutes Very Active', 'Minutes Sedentary']\n", + "y = fitbit['Steps']\n", + "\n", + "for minutes in equis:\n", + " x = fitbit[minutes]\n", + " plt.scatter(x,y)\n", + " \n", + "plt.xlabel('Steps')\n", + "plt.ylabel('Minutes')" + ] + }, { "cell_type": "code", "execution_count": null, @@ -114,7 +399,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -128,7 +413,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.0" + "version": "3.9.7" } }, "nbformat": 4, diff --git a/your-code/challenge-3.ipynb b/your-code/challenge-3.ipynb index 93106c2..9c7bbe9 100644 --- a/your-code/challenge-3.ipynb +++ b/your-code/challenge-3.ipynb @@ -15,12 +15,11 @@ "source": [ "# import libraries here\n", "import pandas as pd\n", - "'''\n", + "\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", - "%matplotlib inline\n", - "'''" + "%matplotlib inline\n" ] }, { @@ -32,14 +31,192 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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PassengerIdSurvivedPclassNameGenderAgeSibSpParchTicketFareCabinEmbarked
010.03Braund, Mr. Owen Harrismale22.010A/5 211717.2500U0S
121.01Cumings, Mrs. John Bradley (Florence Briggs Th...female38.010PC 1759971.2833C85C
231.03Heikkinen, Miss. Lainafemale26.000STON/O2. 31012827.9250U0S
341.01Futrelle, Mrs. Jacques Heath (Lily May Peel)female35.01011380353.1000C123S
450.03Allen, Mr. William Henrymale35.0003734508.0500U0S
\n", + "
" + ], + "text/plain": [ + " PassengerId Survived Pclass \\\n", + "0 1 0.0 3 \n", + "1 2 1.0 1 \n", + "2 3 1.0 3 \n", + "3 4 1.0 1 \n", + "4 5 0.0 3 \n", + "\n", + " Name Gender Age SibSp \\\n", + "0 Braund, Mr. Owen Harris male 22.0 1 \n", + "1 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38.0 1 \n", + "2 Heikkinen, Miss. Laina female 26.0 0 \n", + "3 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 1 \n", + "4 Allen, Mr. William Henry male 35.0 0 \n", + "\n", + " Parch Ticket Fare Cabin Embarked \n", + "0 0 A/5 21171 7.2500 U0 S \n", + "1 0 PC 17599 71.2833 C85 C \n", + "2 0 STON/O2. 3101282 7.9250 U0 S \n", + "3 0 113803 53.1000 C123 S \n", + "4 0 373450 8.0500 U0 S " + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "titanic = pd.read_csv('./titanic.csv',low_memory=False)\n", "titanic.head()" ] }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 1309 entries, 0 to 1308\n", + "Data columns (total 12 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 PassengerId 1309 non-null int64 \n", + " 1 Survived 891 non-null float64\n", + " 2 Pclass 1309 non-null int64 \n", + " 3 Name 1309 non-null object \n", + " 4 Gender 1309 non-null object \n", + " 5 Age 1309 non-null float64\n", + " 6 SibSp 1309 non-null int64 \n", + " 7 Parch 1309 non-null int64 \n", + " 8 Ticket 1309 non-null object \n", + " 9 Fare 1309 non-null float64\n", + " 10 Cabin 1309 non-null object \n", + " 11 Embarked 1309 non-null object \n", + "dtypes: float64(3), int64(4), object(5)\n", + "memory usage: 122.8+ KB\n" + ] + } + ], + "source": [ + "titanic.info()" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -49,11 +226,37 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 4, + "metadata": { + "collapsed": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "PassengerId int64\n", + "Survived float64\n", + "Pclass int64\n", + "Name object\n", + "Gender object\n", + "Age float64\n", + "SibSp int64\n", + "Parch int64\n", + "Ticket object\n", + "Fare float64\n", + "Cabin object\n", + "Embarked object\n", + "dtype: object" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "#your code here\n" + "#your code here\n", + "titanic.dtypes" ] }, { @@ -67,20 +270,351 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 5, + "metadata": { + "collapsed": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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PassengerIdSurvivedPclassAgeSibSpParchFare
010.0322.000000107.2500
121.0138.0000001071.2833
231.0326.000000007.9250
341.0135.0000001053.1000
450.0335.000000008.0500
........................
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13051306NaN139.00000000108.9000
13061307NaN338.500000007.2500
13071308NaN329.513190008.0500
13081309NaN325.3154351122.3583
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1309 rows × 7 columns

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" + ], + "text/plain": [ + " PassengerId Survived Pclass Age SibSp Parch Fare\n", + "0 1 0.0 3 22.000000 1 0 7.2500\n", + "1 2 1.0 1 38.000000 1 0 71.2833\n", + "2 3 1.0 3 26.000000 0 0 7.9250\n", + "3 4 1.0 1 35.000000 1 0 53.1000\n", + "4 5 0.0 3 35.000000 0 0 8.0500\n", + "... ... ... ... ... ... ... ...\n", + "1304 1305 NaN 3 29.513190 0 0 8.0500\n", + "1305 1306 NaN 1 39.000000 0 0 108.9000\n", + "1306 1307 NaN 3 38.500000 0 0 7.2500\n", + "1307 1308 NaN 3 29.513190 0 0 8.0500\n", + "1308 1309 NaN 3 25.315435 1 1 22.3583\n", + "\n", + "[1309 rows x 7 columns]" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# your code here- numerical variable\n" + "# your code here- numerical variable\n", + "titanic.select_dtypes('number')" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 7, + "metadata": { + "collapsed": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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NameGenderTicketCabinEmbarked
0Braund, Mr. Owen HarrismaleA/5 21171U0S
1Cumings, Mrs. John Bradley (Florence Briggs Th...femalePC 17599C85C
2Heikkinen, Miss. LainafemaleSTON/O2. 3101282U0S
3Futrelle, Mrs. Jacques Heath (Lily May Peel)female113803C123S
4Allen, Mr. William Henrymale373450U0S
..................
1304Spector, Mr. WoolfmaleA.5. 3236U0S
1305Oliva y Ocana, Dona. FerminafemalePC 17758C105C
1306Saether, Mr. Simon SivertsenmaleSOTON/O.Q. 3101262U0S
1307Ware, Mr. Frederickmale359309U0S
1308Peter, Master. Michael Jmale2668U0C
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1309 rows × 5 columns

\n", + "
" + ], + "text/plain": [ + " Name Gender \\\n", + "0 Braund, Mr. Owen Harris male \n", + "1 Cumings, Mrs. John Bradley (Florence Briggs Th... female \n", + "2 Heikkinen, Miss. Laina female \n", + "3 Futrelle, Mrs. Jacques Heath (Lily May Peel) female \n", + "4 Allen, Mr. William Henry male \n", + "... ... ... \n", + "1304 Spector, Mr. Woolf male \n", + "1305 Oliva y Ocana, Dona. Fermina female \n", + "1306 Saether, Mr. Simon Sivertsen male \n", + "1307 Ware, Mr. Frederick male \n", + "1308 Peter, Master. Michael J male \n", + "\n", + " Ticket Cabin Embarked \n", + "0 A/5 21171 U0 S \n", + "1 PC 17599 C85 C \n", + "2 STON/O2. 3101282 U0 S \n", + "3 113803 C123 S \n", + "4 373450 U0 S \n", + "... ... ... ... \n", + "1304 A.5. 3236 U0 S \n", + "1305 PC 17758 C105 C \n", + "1306 SOTON/O.Q. 3101262 U0 S \n", + "1307 359309 U0 S \n", + "1308 2668 U0 C \n", + "\n", + "[1309 rows x 5 columns]" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "#your code here- categorical variable\n" + "#your code here- categorical variable\n", + "titanic.select_dtypes(exclude='number')" ] }, { @@ -94,11 +628,34 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "
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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "# your code here\n" + "# your code here\n", + "#plt.style.classic\n", + "plt.style.use('classic')\n", + "plt.figure(figsize=(12,6))" ] }, { @@ -110,11 +667,36 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "# your code here\n" + "# your code here\n", + "plt.style.use('classic')\n", + "plt.figure(figsize=(12,6))\n", + "\n", + "plt.scatter(titanic['Age'], range(len(titanic['Age'])))" ] }, { @@ -126,11 +708,39 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "# your code here\n" + "# your code here\n", + "x = titanic['Age']\n", + "\n", + "fig, ax = plt.subplots(3,1)\n", + "plt.figure(figsize=(12,6))\n", + "\n", + "ax[0].hist(x)\n", + "ax[1].hist(x, bins=20)\n", + "ax[2].hist(x, bins=50);" ] }, { @@ -142,11 +752,13 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ - "#your comment here\n" + "#your comment here\n", + "# Si, porque hay poca representación de los datos en la \n", + "# gráfica si no hay suficientes barras" ] }, { @@ -158,11 +770,23 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "# your code here\n" + "# your code here\n", + "sns.histplot(titanic['Age']);" ] }, { @@ -176,20 +800,60 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "# your code here- 1st way\n" + "# your code here- 1st way\n", + "\n", + "grupo = titanic.groupby('Gender').agg({'Gender':'count'})\n", + "x = ['female','male']\n", + "# grupo\n", + "colors = ['hotpink', 'blue']\n", + "plt.pie(grupo['Gender'], labels=x, colors=colors);\n", + "# titanic['Gender']" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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tLfX2cgAAgA94/R6Yuro6uVwubd68WfPnz9eAAQO0fft2Pf7444qKipLD4ZDNZmvzmrCwMEmS0+mU2+2WpFPG2Gw2OZ1O7ywCAAD4lNcDJjQ0VJKUlJSkhIQESdKYMWM0fPhwbdu2TVarVUePHm3zmrq6OkmSxWLxBIzdbm8zxm63Kyoq6ozH3b//MQUGngihyMgkRUYmdcyCAABAhygqKlJRUZEkqamp6axjvR4wNptNMTExnk8U/bv+/ftry5Ytam1t9VxG2rt3r2JiYmS1WiVJ0dHRKikp0ZAhQyRJra2tKisr07hx48543L59H1VISGwHrwYAAHSUpKQkJSWdOMFQW1ur5cuXn3GsT27inThxojZt2qSysjK5XC5t375du3bt0ujRozVmzBj5+/srJydHjY2NqqioUF5entLS0jyvT0tLU15enioqKtTY2KicnBwFBgZq9OjRvlgOAADwMp88B+aWW25RY2OjsrKyZLfbFRsbqz/96U+6/PLLJUnZ2dlaunSp0tLSZLFYlJqaqsmTJ3ten56eLqfTqdmzZ8vpdGrQoEFatGiR5/IUAAC4sPkVFxe7fT2JzuRwOJSSkqKrr67kEhJwgWlpqdW2bRGqqalReHi4r6cDoAPV1tYqIiJCGzZs8NxC8l18lQAAADAOAQMAAIxDwAAAAOMQMAAAwDgEDAAAMA4BAwAAjEPAAAAA4xAwAADAOAQMAAAwDgEDAACMQ8AAAADjEDAAAMA4BAwAADAOAQMAAIxDwAAAAOMQMAAAwDgEDAAAMA4BAwAAjEPAAAAA4xAwAADAOAQMAAAwDgEDAACMQ8AAAADjEDAAAMA4BAwAADAOAQMAAIxDwAAAAOMQMAAAwDgEDAAAMA4BAwAAjEPAAAAA4xAwAADAOAQMAAAwTqC3D7hq1Sq9/vrrCgoK8my75ppr9Mgjj0iSysvLtWzZMu3bt09Wq1UpKSmaOnWq/Pz8JElut1urVq1SYWGhHA6HBg4cqFmzZqlfv37eXgoAAPARrweMJF1++eV69tlnT9nudDqVmZmp8ePHKzs7W4cOHdKcOXNktVo1efJkSVJubq42btyo7Oxs9ezZU6tXr1ZmZqZWr16t0NBQby8FAAD4wHl1Cemjjz6Sy+VSRkaGgoODFRcXp/T0dOXn53vGFBQUaMqUKYqLi1NwcLAyMjLU3NysrVu3+m7iAADAq3xyBqasrEw333yzQkJCNGTIEN19993q0aOHysvLFR8fr4CAAM/YhIQEHT58WA6HQ263W1VVVRo8eLBnf0BAgAYMGKDS0lLdeOONvlgOAADwMq+fgbn22muVk5OjdevW6dlnn5Wfn58eeugh1dfXy+FwyGaztRkfFhYm6cTlJafTKUmnjLHZbJ59AADgwuf1MzDfvdm2W7duyszMVEpKivbs2SOr1aqjR4+2GV9XVydJslgscrvdkiS73d5mjN1uV1RU1FmPu3//YwoMPBFDkZFJioxM+tFrAQAAHaeoqEhFRUWSpKamprOO9cklpO/y8/OTn5+f3G63+vfvry1btqi1tdVzGWnv3r2KiYmR1WqVJEVHR6ukpERDhgyRJLW2tqqsrEzjxo0763H69n1UISGxnbsYAADwgyUlJSkp6cQJhtraWi1fvvyMY71+Cam4uFg1NTWSpGPHjumpp55S165dlZiYqDFjxsjf3185OTlqbGxURUWF8vLylJaW5nl9Wlqa8vLyVFFRocbGRuXk5CgwMFCjR4/29lIAAICPtOsMzOLFi/XAAw+csn3p0qX6r//6r3N6jy1btmjp0qVqaGhQWFiYhg4dqqeffloWi0WSlJ2draVLlyotLU0Wi0Wpqamej1BLUnp6upxOp2bPni2n06lBgwZp0aJFfIQaAICLiF9xcbH7XAf/6le/UmFh4SnbU1NT9c4773ToxDqKw+FQSkqKrr66kktIwAWmpaVW27ZFqKamRuHh4b6eDoAOVFtbq4iICG3YsMFzG8l3ndMZmMOHD0s68RTcI0eOeG6mlaTKyso2T9UFAADobOcUMHfccYfnUf533HGHZ7vb7Za/v7/uvvvuzpkdAADAaZxTwLzxxhuSpGnTpiknJ8ez3d/fX5dccglnYAAAgFedU8BER0dLkjZu3NipkwEAADgX7X4OzM6dO1VSUnLKk28zMjI6bFIAAABn066AefXVV/Xmm28qPj5eISEhnu0n748BAADwhnYFTGFhoZYuXarLL7+8s+YDAADwvdr1JN6WlpY23wQNAADgC+06A3PDDTfoww8/1HXXXddJ0wGA9qutrfX1FAB0sO/7vW5XwNTU1GjBggVav369Lr300jb7srKy2j87APgRXK4GSYHq1auXr6cCwMvaFTBBQUEaO3ZsZ80FANrF5WqS1KKrrqpQUFCkr6cDoAM1NBzS//t/Z77ntl0BM2fOnB89IQDoaAEB4QoM5LuQgAtJYODZLyG16yZeAACA80G7zsBMmTLljM98yc3N7ZAJAQAAfJ92Bcy/P23366+/VmFhoW666aYOnRQAAMDZtCtgxo8ff8q2q6++WitXrtSvf/3rDpsUAADA2fzoe2D69++vzz77rCPmAgAAcE7adQbG5XK1+bmhoUHr169X165dO3RSAAAAZ9OugPnlL395yk28oaGhmjt3bodOCgAA4GzaFTDPPPNMm58tFot69eql0NDQDp0UAADA2bQrYIYPH95J0wAAADh37QoYSdq+fbvWr1+v6upqXXbZZUpJSdGoUaM6Y24AAACn1a5PIRUVFenJJ59UbGysUlNTFRsbq4ULF2rTpk2dNT8AAIBTtOsMTF5enh5//HGNHDnSs+2aa67Rc889d9pnxAAAAHSGdp2Bqa6u1ogRI9psGz58uL766qsOnRQAAMDZtCtgunfvrl27drXZtnv3bkVFRXXopAAAAM6m3V/m+Mc//lETJkxQTEyMDh8+rI0bN+ree+/trPkBAACcot3fhRQaGqrCwkL9/e9/V/fu3fXQQw/p2muv7az5AQAAnOKcAqa0tFQffvih7r77bl177bVtguXVV19Vz549FR8f32mTBAAA+K5zugcmNzdXsbGxp90XGxur3NzcDp0UAADA2ZxTwPzzn//U6NGjT7tv1KhR+vzzzzt0UgAAAGdzTgFTU1Mjq9V62n0Wi0U1NTUdOikAAICzOaeACQ0NVXV19Wn3VVdXKzg4+Acd/JFHHtH111+vHTt2eLbt3LlT06dP1/jx43XbbbepoKCgzWuampq0ZMkSpaWlacKECZo3bx7PoQEA4CJzTgEzbNgwrV279rT73n77bf3kJz9p94GLiorU0NDQZltVVZXmzZun5ORkrV+/XnPmzNHLL7+srVu3esasWLFCn332mV588UWtWbNGYWFh+sMf/iCXy9XuOQAAADOdU8DcfvvtWr9+vRYuXKgdO3bowIED2rFjhxYuXKh33nlHd9xxR7sOevToUb366qt66KGH2mwvKipSbGysJk6cqC5dumj48OFKTk7WunXrJJ04+7Jp0yZNmzZN0dHRslqtmjlzpioqKrRnz552zQEAAJjrnD5GHRcXp4ULF+qZZ57R5s2b5efnJ7fbrdjYWC1YsED9+vU75wO63W5lZ2frjjvu0GWXXdZmX1lZmRISEtpsGzRokIqKiiRJBw4cUGNjowYPHuzZHxERoR49eqi0tFRDhw4953kAAABznfOD7IYPH67Vq1fr0KFDOn78uLp27aqePXu2+4AFBQVyu9266aabTtnncDhO+bh2WFiYHA6HJMnpdEqSbDZbmzE2m82zDwAAXPja9SReSerZs+cPChdJOnTokF5//XUtX778tPutVqvsdnubbXV1dZ5PQFksFkmS3W5vc+Ow3W737DuT/fsfU2BgmCQpMjJJkZFJP2gNAACgcxw7VqRjx05cdWlpqTvr2HYHzI/x2Wefqba2VjNmzGiz/dFHH9V1112n+Ph4bd++vc2+vXv3ep7y27t3bwUHB6ukpES/+MUvJJ34iHdVVZUGDBhw1mP37fuoQkJO/zA+AADge989wdDQcFBVVSvPONarAXPddddp5MiRbbZNmTJFDz74oK688ko5nU69+eabKigo0IQJE/TFF19o48aNyszMlCQFBQVp/PjxysnJUXx8vMLCwrRixQr16dNHiYmJ3lwKAADwIa8GTEhIiEJCQk7ZHhERofDwcIWHh2vhwoVavny5VqxYoa5du+ruu+/WmDFjPGPvu+8+rVixQtOnT1dTU5OGDRum+fPny9//nD5QBQAALgBeDZjTKS4ubvPz8OHD9fLLL59xfFBQkGbNmqVZs2Z18swAAMD5itMWAADAOAQMAAAwDgEDAACMQ8AAAADjEDAAAMA4BAwAADAOAQMAAIxDwAAAAOMQMAAAwDgEDAAAMA4BAwAAjEPAAAAA4xAwAADAOAQMAAAwDgEDAACMQ8AAAADjEDAAAMA4BAwAADAOAQMAAIxDwAAAAOMQMAAAwDgEDAAAMA4BAwAAjEPAAAAA4xAwAADAOAQMAAAwDgEDAACMQ8AAAADjEDAAAMA4BAwAADAOAQMAAIxDwAAAAOMQMAAAwDiB3j7ga6+9ps2bN6umpkYBAQEaOHCgZsyYofj4eM+Y8vJyLVu2TPv27ZPValVKSoqmTp0qPz8/SZLb7daqVatUWFgoh8OhgQMHatasWerXr5+3lwMAAHzA62dgrr/+er3wwgvasGGD1q5dq5/+9KfKzMxUa2urJMnpdCozM1OJiYnKz89Xdna2CgsLtXbtWs975ObmauPGjcrOzlZ+fr4SExOVmZmp+vp6by8HAAD4gNcDpnfv3goLC5N04kyKv7+/jh8/rrq6OknSRx99JJfLpYyMDAUHBysuLk7p6enKz8/3vEdBQYGmTJmiuLg4BQcHKyMjQ83Nzdq6dau3lwMAAHzA65eQJOnjjz/Wk08+KYfDIT8/P91yyy265JJLJJ24fBQfH6+AgADP+ISEBB0+fFgOh0Nut1tVVVUaPHiwZ39AQIAGDBig0tJS3Xjjjd5eDgAA8DKfBMzPf/5zbdiwQbW1tSoqKlK3bt08+xwOh2w2W5vxJ8/YOJ1Oud1uSTpljM1mk9Pp7OSZAwCA84FPAuak8PBwTZo0SampqYqNjVV8fLysVquOHj3aZtzJy0sWi8UTMHa7vc0Yu92uqKioMx5r//7HFBh4IoQiI5MUGZnUkUsBAAA/0rFjRTp2rEiS1NJSd9axPg0Y6cR9MC0tLTp06JDi4+PVv39/bdmyRa2trZ7LSHv37lVMTIysVqskKTo6WiUlJRoyZIgkqbW1VWVlZRo3btwZj9O376MKCYnt/AUBAIAf5LsnGBoaDqqqauUZx3r9Jt61a9fq2LFjkqRvv/1WixcvVmBgoBITEyVJY8aMkb+/v3JyctTY2KiKigrl5eUpLS3N8x5paWnKy8tTRUWFGhsblZOTo8DAQI0ePdrbywEAAD7g9TMwO3bs0BtvvKH6+npZLBYlJCTo6aef1qWXXirpxGWi7OxsLV26VGlpabJYLEpNTdXkyZM975Geni6n06nZs2fL6XRq0KBBWrRokUJDQ729HAAA4ANeD5gFCxZ875j+/ftr2bJlZ9zv5+enjIwMZWRkdOTUAACAIfgqAQAAYBwCBgAAGIeAAQAAxiFgAACAcQgYAABgHAIGAAAYh4ABAADGIWAAAIBxCBgAAGAcAgYAABiHgAEAAMYhYAAAgHEIGAAAYBwCBgAAGIeAAQAAxiFgAACAcQgYAABgHAIGAAAYh4ABAADGIWAAAIBxCBgAAGAcAgYAABiHgAEAAMYhYAAAgHEIGAAAYBwCBgAAGIeAAQAAxiFgAACAcQgYAABgHAIGAAAYh4ABAADGIWAAAIBxCBgAAGCcQG8f8KWXXtInn3yi6upqhYSEaPjw4ZoxY4a6d+/uGVNdXa0lS5Zo165d6tKli8aOHav77rtPXbp08YxZt26dcnNz9e2336p3796aOXOmhg0b5u3lAAAAH/D6GRg/Pz/NmTNH+fn5eu211yRJWVlZnv0ul0tZWVkKCwvTmjVr9OKLL2r37t164YUXPGM++OADvfLKK5o7d67Wr1+v5ORkzZ07V1999ZW3lwMAAHzA6wHzu9/9ToMGDVKXLl1ks9l02223qby8XHV1dZKk3bt368svv9TMmTNltVoVHR2tadOm6d1331VTU5MkqaCgQMnJyRo+fLi6dOmiiRMnKjY2Vps2bfL2cgAAgA/4/B6Yf/zjH7rssssUFhYmSSorK1NMTIwiIiI8YxISEtTQ0KDKykrPmISEhDbvM2jQIJWVlXlv4gAAwGd8GjA7duzQ6tWr9eCDD3q2OZ1OWa3WNuNOxo3T6fT8abPZThnjcDg6ecYAAOB84PWbeE/6+OOP9eSTTyorK0tXXXWVZ7vFYjklRE5eXrJYLJ4/7Xb7KWP+PXy+a//+xxQYeCKEIiOTFBmZ1CHrAAAAHePYsSIdO1YkSWppqTvrWJ8EzHvvvaelS5fqT3/6U5t4kaT4+HgdOXJENTU1nstIe/fuVUhIiHr16uUZU1JSohtuuMHzun379mnUqFFnPGbfvo8qJCS2E1YDAAA6wndPMDQ0HFRV1cozjvX6JaR169Zp2bJlmj9//inxIklDhw5V79699fzzz8vpdKq6ulo5OTlKTk5WUFCQJCktLU0bN27U7t271dzcrIKCAlVWVmr8+PHeXg4AAPABr5+BWbZsmQICAjRnzpw22xctWqShQ4fK399fTz75pJYsWaJJkyYpKChIY8eO1T333OMZe9111+n48eOaP3++jh8/rj59+mjBggVtniUDAAAuXF4PmOLi4u8dEx0drYULF551zMSJEzVx4sSOmhYAADCIzz9GDQAA0F4EDAAAMA4BAwAAjEPAAAAA4xAwAADAOAQMAAAwDgEDAACMQ8AAAADjEDAAAMA4BAwAADAOAQMAAIxDwAAAAOMQMAAAwDgEDAAAMA4BAwAAjEPAAAAA4xAwAADAOAQMAAAwDgEDAACMQ8AAAADjEDAAAMA4BAwAADAOAQMAAIxDwAAAAOMQMAAAwDgEDAAAMA4BAwAAjEPAAAAA4xAwAADAOAQMAAAwDgEDAACMQ8AAAADjBHr7gO+//77y8/NVXl4up9OpLVu2KCAgwLO/vLxcy5Yt0759+2S1WpWSkqKpU6fKz89PkuR2u7Vq1SoVFhbK4XBo4MCBmjVrlvr16+ftpQAAAB/x+hkYm82mtLQ0zZw585R9TqdTmZmZSkxMVH5+vrKzs1VYWKi1a9d6xuTm5mrjxo3Kzs5Wfn6+EhMTlZmZqfr6em8uAwAA+JDXA+aqq67SDTfcoJiYmFP2ffTRR3K5XMrIyFBwcLDi4uKUnp6u/Px8z5iCggJNmTJFcXFxCg4OVkZGhpqbm7V161YvrgIAAPjSeXUPTHl5ueLj49tcUkpISNDhw4flcDhkt9tVVVWlwYMHe/YHBARowIABKi0t9cWUAQCAD3j9HpizcTgcstlsbbaFhYVJOnF5ye12S9IpY2w2m5xOp3cmCQAAfO68Chir1aqjR4+22VZXVydJslgsnoCx2+1txtjtdkVFRZ31vffvf0yBgSdiKDIySZGRSR01bQAA0AGOHSvSsWNFkqSWlrqzjj2vAqZ///7asmWLWltbPZeR9u7dq5iYGFmtVklSdHS0SkpKNGTIEElSa2urysrKNG7cuLO+d9++jyokJLZzFwAAAH6w755gaGg4qKqqlWcc6/V7YFpbW9XU1KTm5mZJUlNTk5qamuRyuTRmzBj5+/srJydHjY2NqqioUF5entLS0jyvT0tLU15enioqKtTY2KicnBwFBgZq9OjR3l4KAADwEa+fgXnvvfe0aNEiz88TJkyQJC1evFjDhw9Xdna2li5dqrS0NFksFqWmpmry5Mme8enp6XI6nZo9e7acTqcGDRqkRYsWKTQ01NtLAQAAPuJXXFzs9vUkOpPD4VBKSoquvrqSS0jABaah4aA++aSXfv7zbxQcHOnr6QDoQCd/vzds2OC5jeS7zquPUQMAAJwLAgYAABiHgAEAAMYhYAAAgHEIGAAAYBwCBgAAGIeAAQAAxiFgAACAcQgYAABgHAIGAAAYh4ABAADGIWAAAIBxCBgAAGAcAgYAABiHgAEAAMYhYAAAgHEIGAAAYBwCBgAAGIeAAQAAxiFgAACAcQgYAABgHAIGAAAYh4ABAADGIWAAAIBxCBgAAGAcAgYAABiHgAEAAMYhYAAAgHEIGAAAYBwCBgAAGIeAAQAAxiFgAACAcQgYAABgnEBfT+CHcrvdWrVqlQoLC+VwODRw4EDNmjVL/fr18/XUAABAJzP2DExubq42btyo7Oxs5efnKzExUZmZmaqvr/f11OBjx44V+XoKADoJv984ydiAKSgo0JQpUxQXF6fg4GBlZGSoublZW7du9fXU4GP8AwdcuPj9xklGBozdbldVVZUGDx7s2RYQEKABAwaotLTUhzMDAADeYOQ9ME6nU5Jks9nabLfZbJ59J7ndbklSY+MR70wOPtfSUqeGhoO+nga84OTvdVPTIbndzu8ZjQsBv98Xj5O/3yf/O/7vjAwYi8Ui6cSZmO+y2+2Kiopqs+3kPTGffnqVdyaH80JV1UpfTwFetGPHUF9PAV7E7/fFpb6+/pQTFpKhAWOz2RQdHa2SkhINGTJEktTa2qqysjKNGzeuzdhLL71UeXl5Cg0NlZ+fny+mCwAA2sntdqu+vl6XXnrpafcbGTCSlJaWpry8PI0YMUIxMTF6/fXXFRgYqNGjR7cZ5+/vr27duvlolgAA4Ic63ZmXk4wNmPT0dDmdTs2ePVtOp1ODBg3SokWLFBoa6uupAQCATuZXXFx8+rtjAAAAzlNGfowaaI9NmzZp8uTJvp4GcFFpaWnRE088odTUVCUnJ5/yoQtv2Llzp66//nq1trZ6/djofMZeQgIAnL8+/PBD7dy5U2+++aasVquvp4MLEGdgAAAd7vDhw+rRowfxgk7DGRicd2bNmqW4uDgdP35cf//732WxWHTvvfeqb9++evrpp1VRUaE+ffpo3rx56t27tz744AO98cYbOnLkiPz9/ZWYmKjf//736tGjx2nfv7W1VW+99ZYKCwv1zTffKCYmRjNmzNDIkSO9vFLgwrRw4UL97//+r1wul5KTkzV06FA98sgjevnll/W3v/1N9fX1Gjx4sO6//37FxMR4XtPY2Kjw8HB98MEHkqTf/OY3GjNmjJ566il9/vnn6t69ux5++GHP4zN27typlStXqrKyUi6XSwMGDNB9992n+Pj4M86tqKhIeXl5qq6uVlRUlO68806NHTu20/9O0PE4A4Pz0ubNm3XzzTdr/fr1Sk9P11NPPaWXXnpJjzzyiAoKCtStWzc9++yzkk482DAzM1P5+flavXq13G63nnjiiTO+9+uvv67Nmzfr8ccf1zvvvKPf/OY3+uMf/6hDhw55a3nABW3u3Lm6/fbbdfnll2vjxo1auHChHnnkETkcDr300ktas2aN+vXrp6ysLLW0tHhet337do0YMUJvv/22Hn74Ya1YsUILFizQvffeq/Xr12vkyJFatGiRZ3xAQIDuuecerV27Vrm5uYqJidEf//hHNTc3n3ZemzZt0quvvqrMzEy98847mj17tp5++ml99tlnnf53go5HwOC8NGbMGA0bNkz+/v4aP368GhoaNG7cOEVHR6tLly664YYbVFJSIkm66qqrFB8fr4CAAEVERGjatGn65z//ecrXSpy0du1aTZ8+Xb1795a/v79Gjx6tIUOG6P333/fmEoGLRmlpqfbs2aPZs2crPDxcQUFBuvvuu3XkyBF98cUXnnGJiYm69tprFRAQoFGjRslqterKK69UXFycAgICdOONN6qystJzQ/AVV1yhxMREdenSRRaLRTNmzFB1dbUqKytPO481a9bo9ttv16BBg+Tv768rrrhC119/vTZt2uSVvwd0LC4h4bz03Scvnny2z79vOxkoO3fu1OrVq/Xll1+qoaHBM+b48eOer5046dixY3I4HHrsscfaPJm5tbVVPXv27JS1ABe7gwcPqrW19bSfBvzqq688//vfn7gaEhJy2n8LTj5avry8XK+88opKS0vldDo9v9PHjx8/4zyef/55vfTSS55tra2tGjZs2A9fHHyGgIHRmpublZWVpTvvvFNPPPGELBaLSktLNX369NOOt9lsCgoK0vz58/lHC/CSyMhIBQYGKj8/X4GBHfefnccee0xXXXWV5s2bp7CwMNXV1Sk1NfWs87jrrruUlJTUYXOA73AJCUZraWlRY2OjwsLCZLFY9PXXX+uVV1454/igoCClpqbqxRdf1Jdffim3263Gxkbt2rXrjKedAfw4V1xxhfr166fFixd7zo7U1dXpww8/bHPWtL3sdrssFousVqtqa2u1YsWKs46fNGmSXn/9dZWUlMjlcqmpqUklJSXau3fvD54DfIczMDBaaGioHn74Ya1atUrPPfecYmJiNHnyZP3tb38742vuuecerVu3Tn/+85919OhRBQUFacCAAbrnnnu8OHPg4hEQEKC//vWvysnJ0X333aeamhqFhYVp6NChuvrqq3/w+2ZmZur555/XmjVrFBUVpd/+9rdnvZ/llltuUUREhJ555hkdPnxYAQEB6tevn6ZNm/aD5wDf4asEAACAcbiEBAAAjEPAAAAA4xAwAADAOAQMAAAwDgEDAACMQ8AAAADjEDAAAMA4BAwAADAOAQPggjZ58mS+bRi4APFVAgC84l//+pf++7//W7t27ZLD4ZDNZlOvXr00btw4JScn+3p6AAxDwADodJ9++qnmzp2rlJQULVu2TNHR0WppadGePXv01ltvndcB09LS0qHfoAygY/BbCaDTPfPMM7r++uv1n//5n55tQUFBGjFihEaMGOHZ9sknn+i1117TwYMHFRERoYkTJ2rSpEmSpKqqKt12222aM2eO1qxZoyNHjqhv377KzMxU3759JUn19fV69tlntX37dgUFBSk9Pf2UuRw4cEDPP/+89u7dq4CAAF1zzTW65557FBoaKkm69dZblZSUpC+++EJ79uzRHXfcoV//+ted+LcD4IfgHhgAnaqyslIHDx7UuHHjzjru008/1RNPPKG7775bBQUFevzxx5Wbm6v33nuvzbj33ntP2dnZys/PV7du3bR48WLPvuXLl6usrEwrV67U6tWrVV5ermPHjnn219TU6P7779eIESP0P//zP1q5cqUOHjyo5cuXtznG+vXrNXXqVBUWFuo//uM/OuBvAUBHI2AAdKpvv/1WkhQVFeXZ9q9//UspKSlKSUnRjTfeqF27dmnt2rVKS0vTyJEj5e/vr379+ik1NfWUG3DvvPNOXXrppQoKCtL48eO1d+9eSZLL5dLmzZt11113qVu3bgoNDdXMmTPldrs9ry0qKlLPnj01efJkBQUFKSIiQnfddZc2b96s1tZWz7jk5GQNGTJEfn5+CgkJ6cS/HQA/FJeQAHSqSy65RJJ09OhR9enTR5IUFxenDRs2qLW1Vb/85S/ldrt18OBB7dixQwUFBZ7Xulwude/evc37fTeEQkND1djYqNbWVtXU1Ki5uVk9evTw7LfZbAoLC/P8fOjQIe3bt08pKSmnzPPYsWPq1q2bJCk6OvrHLxxApyJgAHSqXr16qWfPntqyZYuuvPLKM46LjIzU2LFjNXXq1B90nEsuuURdunRRVVWV+vXrJ0my2+2y2+1tjnHFFVfomWeeOet7+ftzcho43/FbCqDTPfDAA3r//ff13HPP6ciRI3K5XGppadHOnTs9YyZNmqR169Zpx44dam1tVWtrqyoqKrRr165zOoa/v7/GjRunVatW6ejRo6qvr9fzzz/fZsz48eNVWlqq/Px8NTQ0yO1266uvvtK2bds6crkAvIAzMAA63ciRI7VixQq98cYb+v3vfy+Hw6GwsDD16tVLWVlZSkxMVGBgoIKCgpSTk6MDBw5IkmJjY3Xrrbee83FmzpypZ599Vr/97W8VHBys9PR0RUZGevZfdtllWr58uV5++WW9/vrramxsVFRUlMaOHatRo0Z1+LoBdB6/4uJi9/cPAwAAOH9wCQkAABiHgAEAAMYhYAAAgHEIGAAAYBwCBgAAGIeAAQAAxiFgAACAcQgYAABgHAIGAAAY5/8DuFxZHCRUZIoAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "# your code here- 2nd way\n" + "# your code here- 2nd way\n", + "sns.histplot(titanic['Gender'])" ] }, { @@ -201,11 +865,23 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "# your code here\n" + "# your code here\n", + "titanic['Pclass'].hist();" ] }, { @@ -217,11 +893,26 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 13, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "# your code here\n" + "# your code here\n", + "#titanic.groupby('Age').agg({'Age': ['max', 'min', 'mean', 'std']}).hist();\n", + "\n", + "titanic['Age'].plot.box();\n", + "\n" ] }, { @@ -249,11 +940,36 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 20, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "#your code here\n" + "#your code here\n", + "\n", + "#titanic_age=titanic.groupby('Age').agg({'Age': ['max', 'min', 'mean', 'std']}).hist()\n", + "\n", + "sns.displot(data=titanic['Age'], kde=True)" ] }, { @@ -372,7 +1088,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -386,7 +1102,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.0" + "version": "3.9.7" } }, "nbformat": 4,