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September 5, 2021 09:32
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Visualization_mat_seaborn_Latest.ipynb
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| { | |
| "cells": [ | |
| { | |
| "metadata": { | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "QweWdcZ_nZ4D", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "#install and then import matplotlib\nimport matplotlib.pyplot as plt", | |
| "execution_count": 1, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "!pip install matplotlib", | |
| "execution_count": 2, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": "Requirement already satisfied: matplotlib in c:\\programdata\\anaconda3\\lib\\site-packages (3.3.2)\nRequirement already satisfied: kiwisolver>=1.0.1 in c:\\programdata\\anaconda3\\lib\\site-packages (from matplotlib) (1.3.0)\nRequirement already satisfied: numpy>=1.15 in c:\\programdata\\anaconda3\\lib\\site-packages (from matplotlib) (1.19.2)\nRequirement already satisfied: pillow>=6.2.0 in c:\\programdata\\anaconda3\\lib\\site-packages (from matplotlib) (8.0.1)\nRequirement already satisfied: cycler>=0.10 in c:\\programdata\\anaconda3\\lib\\site-packages (from matplotlib) (0.10.0)\nRequirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3 in c:\\programdata\\anaconda3\\lib\\site-packages (from matplotlib) (2.4.7)\nRequirement already satisfied: python-dateutil>=2.1 in c:\\programdata\\anaconda3\\lib\\site-packages (from matplotlib) (2.8.1)\nRequirement already satisfied: certifi>=2020.06.20 in c:\\programdata\\anaconda3\\lib\\site-packages (from matplotlib) (2020.6.20)\nRequirement already satisfied: six in c:\\programdata\\anaconda3\\lib\\site-packages (from cycler>=0.10->matplotlib) (1.15.0)\n" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "8X0Il_f1nZ4I", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "#matplotlib to render plots in the notebook\n%matplotlib inline", | |
| "execution_count": 3, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "help(plt.suptitle)", | |
| "execution_count": null, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "PAfVoG3xnZ4K", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "x = [-3, 5, 7]", | |
| "execution_count": 4, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "DYZJI0PfnZ4N", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "y = [10, 2, 5]", | |
| "execution_count": 5, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "4ygzI_bznZ4P", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "fig = plt.figure(figsize=(15,5))\n\nplt.plot(x, y)\nplt.xlim(-4, 8)\nplt.ylim(0, 12)\nplt.xlabel('X Axis')\nplt.ylabel('Y axis')\nplt.title('Line Plot')\nplt.suptitle('Sales Comaprison', size=10, y=1.03)\n", | |
| "execution_count": 6, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "Text(0.5, 1.03, 'Sales Comaprison')" | |
| }, | |
| "execution_count": 6, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": "<Figure size 1080x360 with 1 Axes>" | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "7S2k6bBZnZ4S", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "fig.savefig('example29.png', dpi=300, bbox_inches='tight')", | |
| "execution_count": 7, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "fig.savefig('example.png')", | |
| "execution_count": 8, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "import os", | |
| "execution_count": 9, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "os.getcwd()", | |
| "execution_count": 10, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "'C:\\\\Users\\\\ssada\\\\Desktop\\\\ExcelR\\\\NEW BATCH 28 NOV\\\\Day 5-Python Intro\\\\Day 5-Python Intro'" | |
| }, | |
| "execution_count": 10, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "M9YNVwJAnZ4d", | |
| "outputId": "1bbd6545-8e31-4ef3-83bd-8663e9be241b", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "# Subplots\nfig, ax = plt.subplots(nrows=2, ncols=2)", | |
| "execution_count": 10, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": "<Figure size 432x288 with 4 Axes>" | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "-oEJCo_knZ4f", | |
| "outputId": "52afea24-88f0-4f18-b5ef-fada0dab5566", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "# More than one Axes with plt.subplots, then the second item in the tuple is a NumPy array containing all the Axes\nfig, axs = plt.subplots(1, 2)", | |
| "execution_count": 11, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": "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\n", | |
| "text/plain": "<Figure size 432x288 with 2 Axes>" | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "colab_type": "text", | |
| "id": "l-y9Jux9nZ4h" | |
| }, | |
| "cell_type": "markdown", | |
| "source": "#### Matplotlib" | |
| }, | |
| { | |
| "metadata": { | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "LHZI1mpknZ4h", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "import pandas as pd\nimport numpy as np\nimport matplotlib.pyplot as plt\n\nmtcars = pd.read_csv(\"C:/Users/ssada/Desktop/ExcelR/NEW BATCH 28 NOV/Day 5-Python Intro/Day 5-Python Intro/mtcars.csv\")", | |
| "execution_count": 12, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "mtcars.head()", | |
| "execution_count": 13, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>mpg</th>\n <th>cyl</th>\n <th>disp</th>\n <th>hp</th>\n <th>drat</th>\n <th>wt</th>\n <th>qsec</th>\n <th>vs</th>\n <th>am</th>\n <th>gear</th>\n <th>carb</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>21.0</td>\n <td>6</td>\n <td>160.0</td>\n <td>110</td>\n <td>3.90</td>\n <td>2.620</td>\n <td>16.46</td>\n <td>0</td>\n <td>1</td>\n <td>4</td>\n <td>4</td>\n </tr>\n <tr>\n <th>1</th>\n <td>21.0</td>\n <td>6</td>\n <td>160.0</td>\n <td>110</td>\n <td>3.90</td>\n <td>2.875</td>\n <td>17.02</td>\n <td>0</td>\n <td>1</td>\n <td>4</td>\n <td>4</td>\n </tr>\n <tr>\n <th>2</th>\n <td>22.8</td>\n <td>4</td>\n <td>108.0</td>\n <td>93</td>\n <td>3.85</td>\n <td>2.320</td>\n <td>18.61</td>\n <td>1</td>\n <td>1</td>\n <td>4</td>\n <td>1</td>\n </tr>\n <tr>\n <th>3</th>\n <td>21.4</td>\n <td>6</td>\n <td>258.0</td>\n <td>110</td>\n <td>3.08</td>\n <td>3.215</td>\n <td>19.44</td>\n <td>1</td>\n <td>0</td>\n <td>3</td>\n <td>1</td>\n </tr>\n <tr>\n <th>4</th>\n <td>18.7</td>\n <td>8</td>\n <td>360.0</td>\n <td>175</td>\n <td>3.15</td>\n <td>3.440</td>\n <td>17.02</td>\n <td>0</td>\n <td>0</td>\n <td>3</td>\n <td>2</td>\n </tr>\n </tbody>\n</table>\n</div>", | |
| "text/plain": " mpg cyl disp hp drat wt qsec vs am gear carb\n0 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4\n1 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4\n2 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1\n3 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1\n4 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2" | |
| }, | |
| "execution_count": 13, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "lCZ0GKRenZ4p", | |
| "outputId": "96f32bd0-1c1c-47fd-87db-081f5bdce5f4", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "mtcars.columns", | |
| "execution_count": 14, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "Index(['mpg', 'cyl', 'disp', 'hp', 'drat', 'wt', 'qsec', 'vs', 'am', 'gear',\n 'carb'],\n dtype='object')" | |
| }, | |
| "execution_count": 14, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "5oN2RhqHnZ4r", | |
| "outputId": "e147df0b-4ee9-47c3-df8f-31dd39a2b643", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "mtcars.shape", | |
| "execution_count": 15, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "(32, 11)" | |
| }, | |
| "execution_count": 15, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "q3mmrKLmnZ4t", | |
| "outputId": "e9166c88-b6d8-4da5-e7cb-610e3ba4b331", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "mtcars.head()", | |
| "execution_count": 16, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>mpg</th>\n <th>cyl</th>\n <th>disp</th>\n <th>hp</th>\n <th>drat</th>\n <th>wt</th>\n <th>qsec</th>\n <th>vs</th>\n <th>am</th>\n <th>gear</th>\n <th>carb</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>21.0</td>\n <td>6</td>\n <td>160.0</td>\n <td>110</td>\n <td>3.90</td>\n <td>2.620</td>\n <td>16.46</td>\n <td>0</td>\n <td>1</td>\n <td>4</td>\n <td>4</td>\n </tr>\n <tr>\n <th>1</th>\n <td>21.0</td>\n <td>6</td>\n <td>160.0</td>\n <td>110</td>\n <td>3.90</td>\n <td>2.875</td>\n <td>17.02</td>\n <td>0</td>\n <td>1</td>\n <td>4</td>\n <td>4</td>\n </tr>\n <tr>\n <th>2</th>\n <td>22.8</td>\n <td>4</td>\n <td>108.0</td>\n <td>93</td>\n <td>3.85</td>\n <td>2.320</td>\n <td>18.61</td>\n <td>1</td>\n <td>1</td>\n <td>4</td>\n <td>1</td>\n </tr>\n <tr>\n <th>3</th>\n <td>21.4</td>\n <td>6</td>\n <td>258.0</td>\n <td>110</td>\n <td>3.08</td>\n <td>3.215</td>\n <td>19.44</td>\n <td>1</td>\n <td>0</td>\n <td>3</td>\n <td>1</td>\n </tr>\n <tr>\n <th>4</th>\n <td>18.7</td>\n <td>8</td>\n <td>360.0</td>\n <td>175</td>\n <td>3.15</td>\n <td>3.440</td>\n <td>17.02</td>\n <td>0</td>\n <td>0</td>\n <td>3</td>\n <td>2</td>\n </tr>\n </tbody>\n</table>\n</div>", | |
| "text/plain": " mpg cyl disp hp drat wt qsec vs am gear carb\n0 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4\n1 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4\n2 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1\n3 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1\n4 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2" | |
| }, | |
| "execution_count": 16, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "WommxAHZnZ4v", | |
| "outputId": "21435ec0-1285-4fbf-b8ab-b59e2ebd6011", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "# table \npd.crosstab(mtcars.gear,mtcars.cyl)", | |
| "execution_count": 18, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th>cyl</th>\n <th>4</th>\n <th>6</th>\n <th>8</th>\n </tr>\n <tr>\n <th>gear</th>\n <th></th>\n <th></th>\n <th></th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>3</th>\n <td>1</td>\n <td>2</td>\n <td>12</td>\n </tr>\n <tr>\n <th>4</th>\n <td>8</td>\n <td>4</td>\n <td>0</td>\n </tr>\n <tr>\n <th>5</th>\n <td>2</td>\n <td>1</td>\n <td>2</td>\n </tr>\n </tbody>\n</table>\n</div>", | |
| "text/plain": "cyl 4 6 8\ngear \n3 1 2 12\n4 8 4 0\n5 2 1 2" | |
| }, | |
| "execution_count": 18, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "gd_GXjZInZ4x", | |
| "outputId": "90e819a7-b3f5-4721-dce0-1b0677ca33b6", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "# bar plot between 2 different categories \npd.crosstab(mtcars.gear,mtcars.cyl).plot(kind=\"bar\")", | |
| "execution_count": 17, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "<AxesSubplot:xlabel='gear'>" | |
| }, | |
| "execution_count": 17, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": "<Figure size 432x288 with 1 Axes>" | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "E0Ve7ecYnZ4z", | |
| "outputId": "7821d7a7-9690-4a0f-fba7-145e91e6de5a", | |
| "scrolled": true, | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "mtcars[\"gear\"].value_counts()", | |
| "execution_count": 18, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "3 15\n4 12\n5 5\nName: gear, dtype: int64" | |
| }, | |
| "execution_count": 18, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "mtcars.gear.value_counts().plot(kind=\"pie\")", | |
| "execution_count": 21, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "<AxesSubplot:ylabel='gear'>" | |
| }, | |
| "execution_count": 21, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": "<Figure size 432x288 with 1 Axes>" | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "nS4W0mSPnZ46", | |
| "outputId": "63c4318e-c4e7-4b99-afcf-bb3d60df8d75", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "plt.scatter(mtcars.mpg,mtcars.qsec)## scatter plot of two variables", | |
| "execution_count": 19, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "<matplotlib.collections.PathCollection at 0x2bf0372de50>" | |
| }, | |
| "execution_count": 19, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": "<Figure size 432x288 with 1 Axes>" | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "KE7H-SkvnZ48", | |
| "outputId": "b34a6472-e5a3-4061-aa0a-150ed6c67104", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "# Graphical Representation of data\n#import matplotlib.pyplot as plt\n# Histogram\nplt.hist(mtcars['mpg']) ", | |
| "execution_count": 21, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "(array([2., 4., 6., 6., 5., 3., 1., 1., 2., 2.]),\n array([10.4 , 12.75, 15.1 , 17.45, 19.8 , 22.15, 24.5 , 26.85, 29.2 ,\n 31.55, 33.9 ]),\n <BarContainer object of 10 artists>)" | |
| }, | |
| "execution_count": 21, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| }, | |
| { | |
| "data": { | |
| "image/png": "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\n", | |
| "text/plain": "<Figure size 432x288 with 1 Axes>" | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "Gfr6Zby0nZ4-", | |
| "outputId": "6d968e22-65ef-4283-9e4d-437fe4d76e77", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "plt.hist(mtcars['mpg'],facecolor =\"peru\",edgecolor =\"blue\",bins =5)\n#creates histogram with 5bins and colours filled init.", | |
| "execution_count": 22, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "(array([ 6., 12., 8., 2., 4.]),\n array([10.4, 15.1, 19.8, 24.5, 29.2, 33.9]),\n <BarContainer object of 5 artists>)" | |
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| "execution_count": 22, | |
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| "text/plain": "<Figure size 432x288 with 1 Axes>" | |
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| "needs_background": "light" | |
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| "output_type": "display_data" | |
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| { | |
| "metadata": { | |
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| }, | |
| "cell_type": "code", | |
| "source": "help(plt.hist)", | |
| "execution_count": 22, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": "Help on function hist in module matplotlib.pyplot:\n\nhist(x, bins=None, range=None, density=False, weights=None, cumulative=False, bottom=None, histtype='bar', align='mid', orientation='vertical', rwidth=None, log=False, color=None, label=None, stacked=False, *, data=None, **kwargs)\n Plot a histogram.\n \n Compute and draw the histogram of *x*. The return value is a tuple\n (*n*, *bins*, *patches*) or ([*n0*, *n1*, ...], *bins*, [*patches0*,\n *patches1*, ...]) if the input contains multiple data. See the\n documentation of the *weights* parameter to draw a histogram of\n already-binned data.\n \n Multiple data can be provided via *x* as a list of datasets\n of potentially different length ([*x0*, *x1*, ...]), or as\n a 2-D ndarray in which each column is a dataset. Note that\n the ndarray form is transposed relative to the list form.\n \n Masked arrays are not supported.\n \n The *bins*, *range*, *weights*, and *density* parameters behave as in\n `numpy.histogram`.\n \n Parameters\n ----------\n x : (n,) array or sequence of (n,) arrays\n Input values, this takes either a single array or a sequence of\n arrays which are not required to be of the same length.\n \n bins : int or sequence or str, default: :rc:`hist.bins`\n If *bins* is an integer, it defines the number of equal-width bins\n in the range.\n \n If *bins* is a sequence, it defines the bin edges, including the\n left edge of the first bin and the right edge of the last bin;\n in this case, bins may be unequally spaced. All but the last\n (righthand-most) bin is half-open. In other words, if *bins* is::\n \n [1, 2, 3, 4]\n \n then the first bin is ``[1, 2)`` (including 1, but excluding 2) and\n the second ``[2, 3)``. The last bin, however, is ``[3, 4]``, which\n *includes* 4.\n \n If *bins* is a string, it is one of the binning strategies\n supported by `numpy.histogram_bin_edges`: 'auto', 'fd', 'doane',\n 'scott', 'stone', 'rice', 'sturges', or 'sqrt'.\n \n range : tuple or None, default: None\n The lower and upper range of the bins. Lower and upper outliers\n are ignored. If not provided, *range* is ``(x.min(), x.max())``.\n Range has no effect if *bins* is a sequence.\n \n If *bins* is a sequence or *range* is specified, autoscaling\n is based on the specified bin range instead of the\n range of x.\n \n density : bool, default: False\n If ``True``, draw and return a probability density: each bin\n will display the bin's raw count divided by the total number of\n counts *and the bin width*\n (``density = counts / (sum(counts) * np.diff(bins))``),\n so that the area under the histogram integrates to 1\n (``np.sum(density * np.diff(bins)) == 1``).\n \n If *stacked* is also ``True``, the sum of the histograms is\n normalized to 1.\n \n weights : (n,) array-like or None, default: None\n An array of weights, of the same shape as *x*. Each value in\n *x* only contributes its associated weight towards the bin count\n (instead of 1). If *density* is ``True``, the weights are\n normalized, so that the integral of the density over the range\n remains 1.\n \n This parameter can be used to draw a histogram of data that has\n already been binned, e.g. using `numpy.histogram` (by treating each\n bin as a single point with a weight equal to its count) ::\n \n counts, bins = np.histogram(data)\n plt.hist(bins[:-1], bins, weights=counts)\n \n (or you may alternatively use `~.bar()`).\n \n cumulative : bool or -1, default: False\n If ``True``, then a histogram is computed where each bin gives the\n counts in that bin plus all bins for smaller values. The last bin\n gives the total number of datapoints.\n \n If *density* is also ``True`` then the histogram is normalized such\n that the last bin equals 1.\n \n If *cumulative* is a number less than 0 (e.g., -1), the direction\n of accumulation is reversed. In this case, if *density* is also\n ``True``, then the histogram is normalized such that the first bin\n equals 1.\n \n bottom : array-like, scalar, or None, default: None\n Location of the bottom of each bin, ie. bins are drawn from\n ``bottom`` to ``bottom + hist(x, bins)`` If a scalar, the bottom\n of each bin is shifted by the same amount. If an array, each bin\n is shifted independently and the length of bottom must match the\n number of bins. If None, defaults to 0.\n \n histtype : {'bar', 'barstacked', 'step', 'stepfilled'}, default: 'bar'\n The type of histogram to draw.\n \n - 'bar' is a traditional bar-type histogram. If multiple data\n are given the bars are arranged side by side.\n - 'barstacked' is a bar-type histogram where multiple\n data are stacked on top of each other.\n - 'step' generates a lineplot that is by default unfilled.\n - 'stepfilled' generates a lineplot that is by default filled.\n \n align : {'left', 'mid', 'right'}, default: 'mid'\n The horizontal alignment of the histogram bars.\n \n - 'left': bars are centered on the left bin edges.\n - 'mid': bars are centered between the bin edges.\n - 'right': bars are centered on the right bin edges.\n \n orientation : {'vertical', 'horizontal'}, default: 'vertical'\n If 'horizontal', `~.Axes.barh` will be used for bar-type histograms\n and the *bottom* kwarg will be the left edges.\n \n rwidth : float or None, default: None\n The relative width of the bars as a fraction of the bin width. If\n ``None``, automatically compute the width.\n \n Ignored if *histtype* is 'step' or 'stepfilled'.\n \n log : bool, default: False\n If ``True``, the histogram axis will be set to a log scale. If\n *log* is ``True`` and *x* is a 1D array, empty bins will be\n filtered out and only the non-empty ``(n, bins, patches)``\n will be returned.\n \n color : color or array-like of colors or None, default: None\n Color or sequence of colors, one per dataset. Default (``None``)\n uses the standard line color sequence.\n \n label : str or None, default: None\n String, or sequence of strings to match multiple datasets. Bar\n charts yield multiple patches per dataset, but only the first gets\n the label, so that `~.Axes.legend` will work as expected.\n \n stacked : bool, default: False\n If ``True``, multiple data are stacked on top of each other If\n ``False`` multiple data are arranged side by side if histtype is\n 'bar' or on top of each other if histtype is 'step'\n \n Returns\n -------\n n : array or list of arrays\n The values of the histogram bins. See *density* and *weights* for a\n description of the possible semantics. If input *x* is an array,\n then this is an array of length *nbins*. If input is a sequence of\n arrays ``[data1, data2, ...]``, then this is a list of arrays with\n the values of the histograms for each of the arrays in the same\n order. The dtype of the array *n* (or of its element arrays) will\n always be float even if no weighting or normalization is used.\n \n bins : array\n The edges of the bins. Length nbins + 1 (nbins left edges and right\n edge of last bin). Always a single array even when multiple data\n sets are passed in.\n \n patches : `.BarContainer` or list of a single `.Polygon` or list of such objects\n Container of individual artists used to create the histogram\n or list of such containers if there are multiple input datasets.\n \n Other Parameters\n ----------------\n **kwargs\n `~matplotlib.patches.Patch` properties\n \n See Also\n --------\n hist2d : 2D histograms\n \n Notes\n -----\n For large numbers of bins (>1000), 'step' and 'stepfilled' can be\n significantly faster than 'bar' and 'barstacked'.\n \n .. note::\n In addition to the above described arguments, this function can take\n a *data* keyword argument. If such a *data* argument is given,\n the following arguments can also be string ``s``, which is\n interpreted as ``data[s]`` (unless this raises an exception):\n *x*, *weights*.\n \n Objects passed as **data** must support item access (``data[s]``) and\n membership test (``s in data``).\n\n" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "dwztDftYnZ5A", | |
| "outputId": "96e625cb-1dc2-45b5-d214-98d091709d40", | |
| "trusted": true | |
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| "cell_type": "code", | |
| "source": "#Boxplot\n#help(plt.boxplot)\nplt.boxplot(mtcars['mpg'],vert = False)", | |
| "execution_count": 23, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "{'whiskers': [<matplotlib.lines.Line2D at 0x2bf038dee80>,\n <matplotlib.lines.Line2D at 0x2bf038eb220>],\n 'caps': [<matplotlib.lines.Line2D at 0x2bf038eb580>,\n <matplotlib.lines.Line2D at 0x2bf038eb8e0>],\n 'boxes': [<matplotlib.lines.Line2D at 0x2bf038deb20>],\n 'medians': [<matplotlib.lines.Line2D at 0x2bf038ebc70>],\n 'fliers': [<matplotlib.lines.Line2D at 0x2bf038ebfd0>],\n 'means': []}" | |
| }, | |
| "execution_count": 23, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
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| "text/plain": "<Figure size 432x288 with 1 Axes>" | |
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| "output_type": "display_data" | |
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| "metadata": { | |
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| "cell_type": "code", | |
| "source": "help(plt.boxplot)", | |
| "execution_count": 24, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": "Help on function boxplot in module matplotlib.pyplot:\n\nboxplot(x, notch=None, sym=None, vert=None, whis=None, positions=None, widths=None, patch_artist=None, bootstrap=None, usermedians=None, conf_intervals=None, meanline=None, showmeans=None, showcaps=None, showbox=None, showfliers=None, boxprops=None, labels=None, flierprops=None, medianprops=None, meanprops=None, capprops=None, whiskerprops=None, manage_ticks=True, autorange=False, zorder=None, *, data=None)\n Make a box and whisker plot.\n \n Make a box and whisker plot for each column of *x* or each\n vector in sequence *x*. The box extends from the lower to\n upper quartile values of the data, with a line at the median.\n The whiskers extend from the box to show the range of the\n data. Flier points are those past the end of the whiskers.\n \n Parameters\n ----------\n x : Array or a sequence of vectors.\n The input data.\n \n notch : bool, default: False\n Whether to draw a noteched box plot (`True`), or a rectangular box\n plot (`False`). The notches represent the confidence interval (CI)\n around the median. The documentation for *bootstrap* describes how\n the locations of the notches are computed.\n \n .. note::\n \n In cases where the values of the CI are less than the\n lower quartile or greater than the upper quartile, the\n notches will extend beyond the box, giving it a\n distinctive \"flipped\" appearance. This is expected\n behavior and consistent with other statistical\n visualization packages.\n \n sym : str, optional\n The default symbol for flier points. An empty string ('') hides\n the fliers. If `None`, then the fliers default to 'b+'. More\n control is provided by the *flierprops* parameter.\n \n vert : bool, default: True\n If `True`, draws vertical boxes.\n If `False`, draw horizontal boxes.\n \n whis : float or (float, float), default: 1.5\n The position of the whiskers.\n \n If a float, the lower whisker is at the lowest datum above\n ``Q1 - whis*(Q3-Q1)``, and the upper whisker at the highest datum\n below ``Q3 + whis*(Q3-Q1)``, where Q1 and Q3 are the first and\n third quartiles. The default value of ``whis = 1.5`` corresponds\n to Tukey's original definition of boxplots.\n \n If a pair of floats, they indicate the percentiles at which to\n draw the whiskers (e.g., (5, 95)). In particular, setting this to\n (0, 100) results in whiskers covering the whole range of the data.\n \"range\" is a deprecated synonym for (0, 100).\n \n In the edge case where ``Q1 == Q3``, *whis* is automatically set\n to (0, 100) (cover the whole range of the data) if *autorange* is\n True.\n \n Beyond the whiskers, data are considered outliers and are plotted\n as individual points.\n \n bootstrap : int, optional\n Specifies whether to bootstrap the confidence intervals\n around the median for notched boxplots. If *bootstrap* is\n None, no bootstrapping is performed, and notches are\n calculated using a Gaussian-based asymptotic approximation\n (see McGill, R., Tukey, J.W., and Larsen, W.A., 1978, and\n Kendall and Stuart, 1967). Otherwise, bootstrap specifies\n the number of times to bootstrap the median to determine its\n 95% confidence intervals. Values between 1000 and 10000 are\n recommended.\n \n usermedians : array-like, optional\n A 1D array-like of length ``len(x)``. Each entry that is not\n `None` forces the value of the median for the corresponding\n dataset. For entries that are `None`, the medians are computed\n by Matplotlib as normal.\n \n conf_intervals : array-like, optional\n A 2D array-like of shape ``(len(x), 2)``. Each entry that is not\n None forces the location of the corresponding notch (which is\n only drawn if *notch* is `True`). For entries that are `None`,\n the notches are computed by the method specified by the other\n parameters (e.g., *bootstrap*).\n \n positions : array-like, optional\n Sets the positions of the boxes. The ticks and limits are\n automatically set to match the positions. Defaults to\n ``range(1, N+1)`` where N is the number of boxes to be drawn.\n \n widths : float or array-like\n Sets the width of each box either with a scalar or a\n sequence. The default is 0.5, or ``0.15*(distance between\n extreme positions)``, if that is smaller.\n \n patch_artist : bool, default: False\n If `False` produces boxes with the Line2D artist. Otherwise,\n boxes and drawn with Patch artists.\n \n labels : sequence, optional\n Labels for each dataset (one per dataset).\n \n manage_ticks : bool, default: True\n If True, the tick locations and labels will be adjusted to match\n the boxplot positions.\n \n autorange : bool, default: False\n When `True` and the data are distributed such that the 25th and\n 75th percentiles are equal, *whis* is set to (0, 100) such\n that the whisker ends are at the minimum and maximum of the data.\n \n meanline : bool, default: False\n If `True` (and *showmeans* is `True`), will try to render the\n mean as a line spanning the full width of the box according to\n *meanprops* (see below). Not recommended if *shownotches* is also\n True. Otherwise, means will be shown as points.\n \n zorder : float, default: ``Line2D.zorder = 2``\n Sets the zorder of the boxplot.\n \n Returns\n -------\n dict\n A dictionary mapping each component of the boxplot to a list\n of the `.Line2D` instances created. That dictionary has the\n following keys (assuming vertical boxplots):\n \n - ``boxes``: the main body of the boxplot showing the\n quartiles and the median's confidence intervals if\n enabled.\n \n - ``medians``: horizontal lines at the median of each box.\n \n - ``whiskers``: the vertical lines extending to the most\n extreme, non-outlier data points.\n \n - ``caps``: the horizontal lines at the ends of the\n whiskers.\n \n - ``fliers``: points representing data that extend beyond\n the whiskers (fliers).\n \n - ``means``: points or lines representing the means.\n \n Other Parameters\n ----------------\n showcaps : bool, default: True\n Show the caps on the ends of whiskers.\n showbox : bool, default: True\n Show the central box.\n showfliers : bool, default: True\n Show the outliers beyond the caps.\n showmeans : bool, default: False\n Show the arithmetic means.\n capprops : dict, default: None\n The style of the caps.\n boxprops : dict, default: None\n The style of the box.\n whiskerprops : dict, default: None\n The style of the whiskers.\n flierprops : dict, default: None\n The style of the fliers.\n medianprops : dict, default: None\n The style of the median.\n meanprops : dict, default: None\n The style of the mean.\n \n Notes\n -----\n \n \n .. note::\n In addition to the above described arguments, this function can take\n a *data* keyword argument. If such a *data* argument is given,\n every other argument can also be string ``s``, which is\n interpreted as ``data[s]`` (unless this raises an exception).\n \n Objects passed as **data** must support item access (``data[s]``) and\n membership test (``s in data``).\n\n" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "4IfbGudInZ5C", | |
| "outputId": "6512bb8f-a9ef-43fd-e34a-4b5f68112f01", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "plt.boxplot(mtcars['mpg'],vert =True);\nplt.ylabel(\"MPG\");\nplt.xlabel(\"Boxplot\");\nplt.title(\"Boxplot\") # for horizontal", | |
| "execution_count": 24, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "Text(0.5, 1.0, 'Boxplot')" | |
| }, | |
| "execution_count": 24, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| }, | |
| { | |
| "data": { | |
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PAW9Jchfwlm5ZkjREB/a146o6bYq3TuyrT0nS9J6xB3clSf3IvnAxSZIx4N6ZrkOaxDzggZkuQprCi6pqh9Mi94ngl56pkqyvqtGZrkPaHU71SFJjDH5JaozBLz09K2a6AGl3OccvSY1xxC9JjTH4JakxBr+0Byb7hTlpX2HwS3tmJTv+wpy0TzD4pT0wxS/MSfsEg1+SGmPwS1JjDH5JaozBL0mNMfilPTDFL8xJ+wRv2SBJjXHEL0mNMfglqTEGvyQ1xuCXpMYY/JLUGINfzUqyPcmGJN9JcnuS39nL+z8hyQ27sM5e7VeazoEzXYA0g35ZVYsBkrwV+FvgDUOu4QRgG/BvQ+5XDXPELw08D9gKkIGPJ9mY5LtJ3t21X5rkr7vXb02yNskBSVYmuTzJzUl+kOQPJu48ydwkX0xyR5JvJfmtJAuADwB/0f3n8bvD+7hqmSN+tew5STYABwPzgTd17e8EFgOvAuYB/55kLXBu9/pm4FLg5Kp6PAnAAgb/LRwNrEnykgl9XQj8R1WdmuRNwNVVtTjJ5cC2qrq4v48pPZUjfrXsl1W1uKqOYfCjKldnkOLHA6urantVbQG+Cbymqn4BvB+4EfhUVf3nuH1dW1WPV9VdwA+BYyb0dTzwWYCq+jrw/CSH9PrppCkY/BJQVbcwGN2PANnJqq8Efga8YOIuplmebJ/eL0UzwuCXgCTHALMYhPpa4N1JZiUZAX4P+HaSFwHnAMcCb0vy2+N28a5uvv9o4MXA9yd0sRZ4T9fXCcADVfUw8Ajw3N4+mDQJ5/jVsifm+GEwIl9SVduT/DPwOuA7DEblHwG2MJji+cuq+ml3N86VSV7Tbf99BlNChwMfqKpHu7n/J1wAfCbJHcAvgCVd+5eB65KcAiyrqpv7+ajS//PunNLTlGQlcENVXTfTtUi7wqkeSWqMI35JaowjfklqjMEvSY0x+CWpMQa/JDXG4Jekxvwfr9SuPuoix0AAAAAASUVORK5CYII=\n", | |
| "text/plain": "<Figure size 432x288 with 1 Axes>" | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "\n", | |
| "execution_count": null, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "O0IuI0DInZ5E", | |
| "outputId": "fdccb5c2-0b7c-4f5c-d997-598c99bde6c2", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "#Violin Plot\n#help(plt.violinplot)\nplt.violinplot(mtcars['mpg'])", | |
| "execution_count": 26, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "{'bodies': [<matplotlib.collections.PolyCollection at 0x181f004d160>],\n 'cmaxes': <matplotlib.collections.LineCollection at 0x181eee34490>,\n 'cmins': <matplotlib.collections.LineCollection at 0x181f0072370>,\n 'cbars': <matplotlib.collections.LineCollection at 0x181f0072670>}" | |
| }, | |
| "execution_count": 26, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": "<Figure size 432x288 with 1 Axes>" | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "help(plt.violinplot)", | |
| "execution_count": 27, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": "Help on function violinplot in module matplotlib.pyplot:\n\nviolinplot(dataset, positions=None, vert=True, widths=0.5, showmeans=False, showextrema=True, showmedians=False, quantiles=None, points=100, bw_method=None, *, data=None)\n Make a violin plot.\n \n Make a violin plot for each column of *dataset* or each vector in\n sequence *dataset*. Each filled area extends to represent the\n entire data range, with optional lines at the mean, the median,\n the minimum, the maximum, and user-specified quantiles.\n \n Parameters\n ----------\n dataset : Array or a sequence of vectors.\n The input data.\n \n positions : array-like, default: [1, 2, ..., n]\n Sets the positions of the violins. The ticks and limits are\n automatically set to match the positions.\n \n vert : bool, default: True.\n If true, creates a vertical violin plot.\n Otherwise, creates a horizontal violin plot.\n \n widths : array-like, default: 0.5\n Either a scalar or a vector that sets the maximal width of\n each violin. The default is 0.5, which uses about half of the\n available horizontal space.\n \n showmeans : bool, default: False\n If `True`, will toggle rendering of the means.\n \n showextrema : bool, default: True\n If `True`, will toggle rendering of the extrema.\n \n showmedians : bool, default: False\n If `True`, will toggle rendering of the medians.\n \n quantiles : array-like, default: None\n If not None, set a list of floats in interval [0, 1] for each violin,\n which stands for the quantiles that will be rendered for that\n violin.\n \n points : int, default: 100\n Defines the number of points to evaluate each of the\n gaussian kernel density estimations at.\n \n bw_method : str, scalar or callable, optional\n The method used to calculate the estimator bandwidth. This can be\n 'scott', 'silverman', a scalar constant or a callable. If a\n scalar, this will be used directly as `kde.factor`. If a\n callable, it should take a `GaussianKDE` instance as its only\n parameter and return a scalar. If None (default), 'scott' is used.\n \n Returns\n -------\n dict\n A dictionary mapping each component of the violinplot to a\n list of the corresponding collection instances created. The\n dictionary has the following keys:\n \n - ``bodies``: A list of the `~.collections.PolyCollection`\n instances containing the filled area of each violin.\n \n - ``cmeans``: A `~.collections.LineCollection` instance that marks\n the mean values of each of the violin's distribution.\n \n - ``cmins``: A `~.collections.LineCollection` instance that marks\n the bottom of each violin's distribution.\n \n - ``cmaxes``: A `~.collections.LineCollection` instance that marks\n the top of each violin's distribution.\n \n - ``cbars``: A `~.collections.LineCollection` instance that marks\n the centers of each violin's distribution.\n \n - ``cmedians``: A `~.collections.LineCollection` instance that\n marks the median values of each of the violin's distribution.\n \n - ``cquantiles``: A `~.collections.LineCollection` instance created\n to identify the quantile values of each of the violin's\n distribution.\n \n Notes\n -----\n \n \n .. note::\n In addition to the above described arguments, this function can take\n a *data* keyword argument. If such a *data* argument is given,\n the following arguments can also be string ``s``, which is\n interpreted as ``data[s]`` (unless this raises an exception):\n *dataset*.\n \n Objects passed as **data** must support item access (``data[s]``) and\n membership test (``s in data``).\n\n" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "colab_type": "text", | |
| "id": "cBaipI82nZ5c" | |
| }, | |
| "cell_type": "markdown", | |
| "source": "# seaborn" | |
| }, | |
| { | |
| "metadata": { | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "pCovzCbonZ5c", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "import pandas as pd\nimport matplotlib.pyplot as plt\nimport seaborn as sns", | |
| "execution_count": 25, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "NFEw7V20nZ5e", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "tips =sns.load_dataset('tips')", | |
| "execution_count": 3, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "sns.get_dataset_names()", | |
| "execution_count": 26, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "['anagrams',\n 'anscombe',\n 'attention',\n 'brain_networks',\n 'car_crashes',\n 'diamonds',\n 'dots',\n 'exercise',\n 'flights',\n 'fmri',\n 'gammas',\n 'geyser',\n 'iris',\n 'mpg',\n 'penguins',\n 'planets',\n 'tips',\n 'titanic']" | |
| }, | |
| "execution_count": 26, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "uvW-2Yy9nZ5g", | |
| "outputId": "7c4d4599-b22a-464a-9e71-6abbf4bd712f", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "tips.head()", | |
| "execution_count": 28, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>total_bill</th>\n <th>tip</th>\n <th>sex</th>\n <th>smoker</th>\n <th>day</th>\n <th>time</th>\n <th>size</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>16.99</td>\n <td>1.01</td>\n <td>Female</td>\n <td>No</td>\n <td>Sun</td>\n <td>Dinner</td>\n <td>2</td>\n </tr>\n <tr>\n <th>1</th>\n <td>10.34</td>\n <td>1.66</td>\n <td>Male</td>\n <td>No</td>\n <td>Sun</td>\n <td>Dinner</td>\n <td>3</td>\n </tr>\n <tr>\n <th>2</th>\n <td>21.01</td>\n <td>3.50</td>\n <td>Male</td>\n <td>No</td>\n <td>Sun</td>\n <td>Dinner</td>\n <td>3</td>\n </tr>\n <tr>\n <th>3</th>\n <td>23.68</td>\n <td>3.31</td>\n <td>Male</td>\n <td>No</td>\n <td>Sun</td>\n <td>Dinner</td>\n <td>2</td>\n </tr>\n <tr>\n <th>4</th>\n <td>24.59</td>\n <td>3.61</td>\n <td>Female</td>\n <td>No</td>\n <td>Sun</td>\n <td>Dinner</td>\n <td>4</td>\n </tr>\n </tbody>\n</table>\n</div>", | |
| "text/plain": " total_bill tip sex smoker day time size\n0 16.99 1.01 Female No Sun Dinner 2\n1 10.34 1.66 Male No Sun Dinner 3\n2 21.01 3.50 Male No Sun Dinner 3\n3 23.68 3.31 Male No Sun Dinner 2\n4 24.59 3.61 Female No Sun Dinner 4" | |
| }, | |
| "execution_count": 28, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "colab_type": "text", | |
| "id": "gwepy3MJnZ5q" | |
| }, | |
| "cell_type": "markdown", | |
| "source": "## Univariate → “one variable” data visualization" | |
| }, | |
| { | |
| "metadata": { | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "9yvW6r-FnZ5q", | |
| "outputId": "4a34b7de-229e-4451-9b56-d104633f8c56", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "#strip plot\n\nsns.stripplot(y= 'tip', data=tips, jitter=False)\nplt.ylabel('tip ($)')\nplt.show()", | |
| "execution_count": 30, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": "<Figure size 432x288 with 1 Axes>" | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "naml9-dqnZ5t", | |
| "outputId": "2cb8e6bb-d208-4cde-f0f2-ba70c242fd64", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "#Grouping with stripplot()\nsns.stripplot(x='day', y='tip', data=tips)\nplt.ylabel('tip ($)')\nplt.show()", | |
| "execution_count": 31, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": "<Figure size 432x288 with 1 Axes>" | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "59nZsoX2nZ5v", | |
| "outputId": "29853bbd-6ada-49c1-fea0-e8736fef65c6", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "sns.stripplot(x='day', y='tip', data=tips, size=4,jitter=False)\nplt.ylabel('tip ($)')\nplt.show()", | |
| "execution_count": 32, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": "<Figure size 432x288 with 1 Axes>" | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "qRhuTDd4nZ5x", | |
| "outputId": "860d0172-affe-4fce-d770-c5a6c2e9a2f9", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "#Swarm plot\n\nsns.swarmplot(x='day', y='tip', data=tips)\nplt.ylabel('tip ($)')\nplt.show()\n ", | |
| "execution_count": 33, | |
| "outputs": [ | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\seaborn\\categorical.py:1296: UserWarning: 6.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.\n warnings.warn(msg, UserWarning)\nC:\\ProgramData\\Anaconda3\\lib\\site-packages\\seaborn\\categorical.py:1296: UserWarning: 5.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.\n warnings.warn(msg, UserWarning)\n" | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": "<Figure size 432x288 with 1 Axes>" | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "G6g9dEhtnZ50", | |
| "outputId": "b70f8eb8-9c23-44ee-a809-30afc99c42e9", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "sns.swarmplot(x='day', y='tip', data=tips, hue='sex')\nplt.ylabel('tip ($)')\nplt.show()", | |
| "execution_count": 34, | |
| "outputs": [ | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\seaborn\\categorical.py:1296: UserWarning: 6.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.\n warnings.warn(msg, UserWarning)\nC:\\ProgramData\\Anaconda3\\lib\\site-packages\\seaborn\\categorical.py:1296: UserWarning: 5.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.\n warnings.warn(msg, UserWarning)\n" | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": "<Figure size 432x288 with 1 Axes>" | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "GTGvh_HNnZ52", | |
| "outputId": "b8e31ccd-3282-4bf8-aada-4c87deef155c", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "#Changing orientation\nsns.swarmplot(x='tip', y='day', data=tips, hue='sex',orient='h')\nplt.xlabel('tip ($)')\nplt.show()", | |
| "execution_count": 35, | |
| "outputs": [ | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\seaborn\\categorical.py:1296: UserWarning: 11.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.\n warnings.warn(msg, UserWarning)\nC:\\ProgramData\\Anaconda3\\lib\\site-packages\\seaborn\\categorical.py:1296: UserWarning: 11.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.\n warnings.warn(msg, UserWarning)\nC:\\ProgramData\\Anaconda3\\lib\\site-packages\\seaborn\\categorical.py:1296: UserWarning: 6.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.\n warnings.warn(msg, UserWarning)\n" | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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42rZt2xgzZgxDhgxhzJgxxunDzZWXlzNv3jyGDx/OkCFDWLp06WnV51Q5I0ikSil31f+cgJanaMpKKaXd31whxK1CiHghRHxubm4LVdFMV6uJ5dx8ILQP+zKLbT5492QW159jldwN7EGFdxdqJj2lJZQBvINN7fn2Bt91HUb/Lv646Sy/zbi7unDh/9bzwrIkrvl4K6/+eQCAQeEBNkUM6qYle2PDA2zGvE31SoZPpsNHk7ReUp0HgU8Y+2Ie4ekTE/j3b0mkW/UysrkXnh1wD+tFv86Wo6Ht1cUR1ud7u+uIDvPT6igsE/w2ifQWFBtumSzvFeaLd1i07Xoh1vflFEUEeVt0HIDTv5dNsX6PAIO6te4124tfdmexISWPihrLL2iVtXrWJ+fx656s0yr/qquu4ttvv6Wqqoo9e/YwcqSp40jfvn1Zt24dO3fu5Pnnn+eJJ56wOf/f//43U6ZMYfv27fz99988/PDDlJfb9oRsbc4IEuZflfSYmrzqMNXHuq9jo3dGSvmRlDJOShkXGhracrVsMP5B6D8HhAv4h8NlH4NXAEO7B+Luann7RvcM1n644BUtUQ3IkL48G/omg59fRczynrwz6Gf45y9wX6I2vThobfYzX9c+fHQeMOJWGHwNYX6evHbFIML8PHB1EVw6tCuHTpRhHpsWrE+lskbP6KhgHjq/N74erni765g/JdrYZBAV6suLc2II9HbD3dWFW+MCmbpjPqRv0drVd34FI24l+Z87uHTXUL7cms7H61OZ8+5GiirMmqImP67lIYSLNkPtZZ+CuzdvXDnIGCiGdQ/kpUsHntYtv2tyNDMHdsZFQJcOnvz3H4Pp4OWm5YQufhd8wrR8x+DrtHvVSl6YE2Oc0qRvJz/e/Mdg7cnt8k/rR8QLrSfb1Kda5HqebjrevnoIEUHeCAHn9QvjofMdy+c4akhEIE9c2Bc/T1c83Vy4bUJP+z3rzkKfbEi1CRANKmv1LFifave15oqNjSUtLY1vvvmGCy+07AVYXFzMFVdcQUxMDPfff79xAkBzK1as4OWXX2bw4MFMmjSJqqoqjh1rYvxUK2hP4yTSgGHANuBy51bFjIcvXPmFtpa1znS7Qnw9+PC6Ybyy/AD55TVcMSycq4Z3017076JN1aGvZcWBfD7/yjQ+4bUtZcT2H8EE666UkROg3x6ty2jfWeCifWO+eHBXZg/qgt4gcdW5cN4bay1OM0hpHN9w9+Ro7vRZgziwDFHTE0oeAX+tSevakd25ZkSEVk7KCki0irspq/j5RBzVdabmrfzyGlYkneDKuPr35dkBrv5aG1RnNpK7X2d//rh3PLV6A24t0AvJx8OVCwZ2os5goGuAN4PNv9nGXKaNVzi2GYIisZiltYV17uDFBTGd8fd0IzY8gKjQ+i7NUZPh3t0296EljO8VyrpHJrfYvWyOWydEcfO4nkhw3rodTpBdXHlarzfH7Nmzeeihh1izZg35+aZm1KeeeorJkyfz888/k5aWxqRJk2zOlVLy448/0qdP635RaEp7GifxGnCHEGITYKf/p5PpbOPp5L5hLLghjuhQXz5ad4QrP9xMap7Zh6/OjaSsEpvzkrKt9lUWwafTYccX2ijpr+ZAummgmxDC2AX0pnE9LE69aniEafqOrR/g8sdDiNQ1EP8pLLwM8wZnYzlh/bSnAXMdY2yaOgDtG7zNvbD/wdhSH2pLd2Vy99c7+XPfCT7dmMo1C7aa2of/eARWP6f1sPrrRVj2QItc057//HmA55clsfpADm+uOsRDP1gtEtPCAcJcWwWIBi4u4pwKEKB9CTid15tj3rx5PP300wwcaPl0XVxcbExkf/7553bPnT59Om+//Tay/v/wzp2NdChpZa3+myilfFZK+Vr9z2lSyhiz116TUj5b//MBKWWslHKMlPJfUsrI+v2fSykdXA+07Tz+0142H8mnziCJP1rIA9/vsnh9fC/LeCeENquphZRVlqOwpUGbjdWOq0dE8O2to7hrchTvXjOU52YPML1oPQ1Hzj7ItU2IEdgdLvhPfcJaaE1Io+7gH3ERRIWaunKO7BHE1L5tu+AQwE87Mi22U3LK2NuQ79nzveXBjdynlrBkp2U9/kjMpqrWfvOEcua5aVwPvNx0dl/zctNx8/gedl9zRHh4OPfee6/N/kceeYTHH3+csWPHotfb/5166qmnqK2tJTY2lpiYGJ56qmWaNR3VnpqbzkjW6zfsPFaEwSCN3efiIoP4z+WxfLzuCDoXwe0To4ixHj3sa6e7oV/jXRBH9QxmVEP+w1yHbpC+1bSt82h8VbkRt8CQ66Gu0jhivIM7/HTHWD5cl4K3uyu3ju/plEFsYX6W03G7CAhp2OffGfJTTC/6tV77eZifJydKTCm0QG/3Nv+Gr7Se2YO68PvebNYn51FpFvy93HSM7xXCRbF21ldpprIy20WyJk2aZGxWGj16NIcOmaa0eeGFF2yO8fLy4sMPPzzlOrQUFSRO09CIQDakmOYzGtwtwKZ/9ZVx3Uzt+vZEjoMBl2oD9gA6xkDcPMcrM/kJSN8Gxce0xO55z568G6qbp7ELLUBBeQ1z3t1onDtp9YEcvrt1tE2CvrXdPSWaDSl5ZBdXIQTcPjGKrgH1j/7TX4IfbtAWe3L1ghkvtVo9Hr+gL7d8GU95jR43neBfs/qdc00yZzMXF8EH1w3j1z1ZLFhvGidx8/geXBR7euMkziZC2pnU7UwVFxcn4+Pj2/SaGYUVPPzDHranFTC4WwCvXjGIHiGOj76tqtXz58Z4SisquGDcKIL9T7E9VF8H2bshoJvDa1O/v+Ywryw/YLHvg+uGMsNqLqW2cCS3jC82pdGrox9Xj4iw/HCuLNSmYe808JTHYjRXSVUtu9OL6NPJjzC/Np5gUDkl+/fvp1+/fs6uRrtl7/4IIRKklHH2jldPEqcpPNCb5y4ewP9WJZNbWs3WI/kOB4lavYErP9zMngyt3f3NhA0svXss4YGnMJmczhXCT63ffnm17YwnpVVtOwsKaKPHr/54i3Eg4caUPN6/zuw9eQVCz4ltUhd/TzfG92qFrtWKcoZQDaynqapWzzUfb+G3vdlsSyvgsZ/2snRXZtMnmll3KNcYIEDretrkehKt4NKhXfE2m402zM+D8we0fZ/5BetTLUaa/5F4nJQc2zZeRVFan3qSOE3b0wrIK7Oc+2h54nEuHtz8eVpq9bZNfnV29rW2nqG+/HL3OL6PT8fT1YVrRna33wW2ldXqbRf2qVOL/SiKU6ggcZoaRseap3Yigh1rJprUJ5SeoT4cydXGWPh6uPKP4SdJdLei6DBfnrjQue25c8dE8teBHOrqx0aMiw6hbyf/Js5SFKU1qCBxmroH+3Df1N68/VcydQbJwK4duM3B9Zg93XT8fOdYPt+YSmFFLTeN60G3oHN3cZsx0SH8On8cfyQep2uAp0NPZYrSHuh0OosBdEuWLCEyMrJVrhUZGUl8fDwhIa0zBlkFiRZw73m9uHZUBIXlNfTq6Nf0CXa8vuIgX23R1rk+cLyET24YbhpJfQ7q19nfZuJARWlxBgMkLobN70JJJvh3hdF3Qczlp7VOiZeXF7t27Wq5ejqRSly3kBBfj1MOEAlHC/ly81Fjk9WWIwVOSVwryjnFYIDvrtPWe8neBeW52t+/3gvfX6+93oISEhKYOHEiw4YNY/r06WRnZwPaALr777+fCRMm0K9fP7Zv386ll15Kr169+Ne//mU8f86cOQwbNowBAwbw0Ucf2b3GwoULGTFiBIMHD+a2225rdDS3I1SQaAeOFdhOcns0v8LOkYqitJjExXDkb21gprnaCjj8l7aG/CmqrKxk8ODBDB48mEsuuYTa2lrmz5/P4sWLSUhIYN68eTz5pGnpX3d3d9atW8ftt9/OxRdfzLvvvktiYiKff/65cWLATz/9lISEBOLj43nrrbcsJgwEbfzDd999x8aNG9m1axc6nY5Fixad8ntocO62Z7QjE3qF4uOuo9xs2uJzZbpmRXGaze/aBogGtRWw+R2IveKUirZubkpMTCQxMZFp06YBoNfr6dzZNEh19uzZAAwcOJABAwYYX+vZsyfp6ekEBwfz1ltv8fPP2vxs6enpJCcnExxsmp5n9erVJCQkMHz4cEALVGFhpz/3mgoS7UCwrwdf3zKK99akUFZdx7UjuzPGehJARVFaVkkT45maet0BUkoGDBjA5s2b7b7u4aHNTebi4mL8uWG7rq6ONWvWsGrVKjZv3oy3t7dxfQnra9xwww289FLLTlWjmpvaiUHFq7nt+HOcn/kBcVmn/4ioKEoT/JvoNdfU6w7o06cPubm5xiBRW1trd6GhxhQXFxMYGIi3tzcHDhxgy5YtNsdMnTqVxYsXk5OTA0BBQQFHjx497bqrINEeFBxhysJ8Ls2/jWcqr2DE3335vy+WOLtWinJ2G30XuDXS1dzNG0a33AoF7u7uLF68mEcffZRBgwYxePBgNm3a1OzzZ8yYQV1dHbGxsTz11FOMGjXK5pj+/fvz4osvcv755xMbG8u0adOMyfHToSb4awcWLV7Mk/HWE/pJ1j8y5ZweL6Eop6LZE/w19G6yTl67eUPUFLjyq9PqBtteOTrB39l3B85ASTX21o4QpBeoHk6K0mpcXOAfC+Git6DzYPAJ1f6+6K2zNkCcCpW4bgdunDqYRXvWAqbpsH09dAztHui8SinKucDFRevBdIq9mM4FKlS2A9Ed/Xj9ikH4e7ji6iKICvVhyV3j8GxkaUVFUU7ubGpGb0mncl/Uk0Q7cdmwblw2zDmT+inK2cTT05P8/HyCg4MRQq0u10BKSX5+Pp6eji2epYKEoihnlfDwcDIyMsjNzXV2VdodT09PwsPDHTpHBQlFUc4qbm5u9OjRw9nVOGuonISiKIrSKBUkFEVRlEapIKEoiqI0SgUJRVEUpVEqSCiKoiiNUkFCURRFaZQKEoqiKEqjVJBQFEVRGqWChKIoitIoFSQURVGURqkgoSiKojRKBQlFURSlUSpIKIqiKI1SQUKxUVZdR2WN3tnVUBSlHVBThStGeoPkiZ/2snhHBq4ugtsmRvHAtN7OrpaiKE6kniQUoyU7M/kuPh29QVJdZ+Ct1ckkHC1wdrUURXEiFSQUo/3ZJTb7krJLnVATRVHaCxUkFKPxvUMttnUugrFRwU6qjaIo7YEKEorRxN6hvDgnhugwX2K6+vPuNUPpGerr7GopiuJEKnHdAvZkFPH6ikPkllZz6dCu3Dy+p3MqcuB32Pg/kHoYfTcMmONwEdd5beE6vw/B1RM8HwA6OVzG4oQMvo9PJ9DbjflTehHTtYPDZSiK0j6oIHGayqvruP6TbRRX1gKQ9FsJ/l5uXBnXzbGCEr6Av16EmjKImwfTXgAXBx70TiTBd9dpAQLgh7kQsBq6Dmt+Ganr4OdbTdvp2+Du7RDU/EXl/9x3nId+2G3c3nKkgA2PTsbP06359VAUpd1QzU2nKeFooTFANPhrf45jheQlw6/3QnkO1FbA5ndgz7eOlZGy0hQgAJCQvNKxMg79abltqIXDfzlUxJ+Jxy22iytr2Xw437F6KIrSbqggcZp6hvrgIiz3RYc52I6fsR2QlvvStzlWRmhfO/v6OFiGnePtlXsS3YN9bPZFhtjuUxTlzKCCxGkKD/TmiQv74emm3crRPYO5ZYKDOYluI0FY/VN0H+NYGb3O15qphE4ra/C10G+2Y2XEXgUDLgUEuLhqeY3IsQ4VceO4SOK6BwJa76g7J0XRu6OfY/VQFKXdaBc5CSGEHthrtmuOlDLN6pjfgWuklEUtevGactjxJRSkQr9Z0GOCw0VcMawbZdV1ZBdVcfXICDp4Na/9vVZvYHFCBvuzK7li+EsMPPguVJdoH/YDrzAed+B4CT8mZODn6cY1IyMI8fWwLUwIGHe/lnCWehh5O7joHHsjru6kTHyb3zxuws3Vg0tHDbRNW9fVwK6FWg4k+jzoM8PiZX99CYsHbOJwx0r8Y2cSGu3Yk0iD7WkF/LYnm64BXlw9MgJfj0Z+VU8kwe6vwd0Phs0Fv47NKl9vkPyYkMHezGLGRAVzwcDOp1RPRTnbCSll00e1diWEKJNS2m2jEUIItHoamionLi5OxsfHO3bxL2ZD6lrT9pVfQv+Lm326wSC58K31HDiuDTrTuQgW3TySUT2bHl/w4Pe7+XFHhnH76Vn9mTfOMkm8L6uYS97bRE2d9va7BXmx8v6JeLpZBYCyHHhvFFTUt/97doA7NkGH8Ga/lyO5Zcx6ewMV9fM2dfT3YOUDE/E3Tzr/eDPs/cG0PfN1GH6z9rO+Ft4bDfnJ2raLG8xbDuFxza4DwN8Hcpj3xXYafjWHRgTw0512nmhOJMHHU6CuUtvu0A3u2gruTTdvPfHzXr7eesy4/dgFfbl9YpRD9VSUs4UQIkFKafc/artsbhJCRAoh9gsh3gN2AN2EEGlCiJAWvVBeimWAANj+iUNFxB8tNAYI0L6hfrPt2EnO0JRV17FkV6bFvoVbjtoc90N8hjFAAKQXVLLmYK5tgfuWmAIEQFUx7F3c9Bsw8/POTGOAADhRUs2KfSdMB1QWQuKPlieZ36/UtaYAAVrie8cXDtUBYNHWo5h/d9lxrIh9WcW2B+5aZAoQAMXptsl3O6pq9fwQn26x76vNtvdeUZT2EyS8hBC76v/8XL+vD/CllHKIlLLR/8FCiFuFEPFCiPjcXDsfnifj5gVYZZ3dHUs6e7vbNul4uzfdiufqInDXWd5+bw97Zdnu87FznN1vz834Rm3Oy961zPfp3LU/jV3DzV4dHB+MZ+/++di7p3bfc9PX07kIPF0t36vde6ooSrsJEpVSysH1fy6p33dUSrmlqROllB9JKeOklHGhoaFNHW6pQ1et/b+Bmw+Mf8ChImK6dmDGAFPLfYC3G7NiO5NTWnXS8zzddNw9Jdq47eoiuG+q7Yyr14/uTkd/Uw5idM9gxkbZeaAaMAc6DjRth/SG2Cub/0aAf8R1o1uQl3F7cLcApvYza+N399HyHg1c3GDio6bt7qMheppp2ycURt7mUB0AbpvYEz+zHMRlQ8Pt95CKmwf+Zs1pEWMgemqT5bvpXLj3vF7GbZ2L4P7z1Gy3imJPu8xJCCEigWVSyhizfWlAnJQyr7FyTiknAXB0MxSmaolY3zCHT5dSsulwPhmFFfy6O5sNKXm4CPjn6EienT3gpOcmZhaTlF3C6J7BdAvytntMWXUdfx3Iwc/TlQm9QtFZ97ltUFcDySu0xHWv6eDm6fB7qaysYs/6Jbi6ezFo3CxcXe18w87cATn7tSR/gNWgQYMBjvwFFYXQ+3wtN3IK8suqWXsoly4BXifP71SXwaHl4OGvBQgHkvVJWSUkZhUzqkcwEcH2772inAtOlpNQQaIFfbEpjWd+2Wex74fbRzM8MshJNXJQZSF8Mh3yDmrbkePh+iWgaxed4BRFaSVnXOL6TJWaV96sfe3Wjq9MAQIgbT0kN50IVhTl7NUugoR191cpZZr5U0T9vsiTPUW0B+cPsOyj7+nmwsTeDuZJnKmy0HZfhVp0SFHOZe0iSJwtxkSF8PbVQxjRI4hJfUL56qaRdPR3PC/gNLFXaoPxGngHQ9+ZzquPoihO1y5yEi3F2TmJs0L2Hkj4XOsePPxmh2aAVRTlzHSynITKSCqWOsfCrDecXQtFUdoJ1dykKIqiNEoFCUVRFKVRKkgoiqIojVJBQlEURWmUChKKoihKo1SQUBRFURqlgoSiKIrSKBUkFEVRlEapIKEoiqI0SgUJRVEUpVEqSCiKoiiNalaQEEKoBYAVRVHOQc19kkgRQrwqhOjfqrVRFEVR2pXmBolY4BCwQAixRQhxqxDCvxXrpSiKorQDzQoSUspSKeXHUsoxwCPAM0C2EOILIUR0q9ZQURRFcZpm5ySEELOFED8D/wNeB3oCvwK/t2L9FEVRFCdq7qJDycDfwKtSyk1m+xcLISa0fLUURVGU9qC5QSJWSllm7wUp5T0tWB9FURSlHWlukKgTQtwFDAA8G3ZKKee1Sq0URVGUdqG5vZu+AjoB04G1QDhQ2lqVUhRFUdqH5gaJaCnlU0C5lPILYCYwsPWqpSiKorQHzW1uqq3/u0gIEQMcByJbpUbnqJ93ZvD8L4kUVelx17lw49hIHp3RFyFEm9bjf6uS+WJzGm46we26X7mo4meETkf1yPvoMv3eNq2LoijO19wg8ZEQIhD4F/AL4As81Wq1Osek5pXzwHe7kGgBobrOwAdrjxAd5sflw8LbrB7LE4/z5qpDAIx32cON7p+DAAzA5qcx9BuNS8SINquPoijOd9IgIYR4wGzzxvq/363/26dVanQOSti50xggzMWnFbRpkNieVmD8Oc7loM3rpcnr6aCChKKcU5rKSfjV/4kD7gC6Al2A2wA1j1MLGeKZhfZ13Wp/RECb1mNotw7Gn3caetm87hs1ui2royhKO3DSICGlfE5K+RwQAgyVUj4opXwQGIbWw0lpAVGDJ/Kyx1f4UgFIdOiZO0DHFcO6tWk9LhSbuVO3FB8q2WWI4ou6aZRKL0qFLxnDn0AXOaZN66MoivM1NycRAdSYbdegEtctx68jV930AFetew2qSyFuHgya3ebVENk7ecTtOx5x+860c+brMPxm/Nq8NoqitAfNDRJfAdvq526SwCXAF61Wq3PQ8pJI3sy9h7LqOq4tjOBOZ1Qicjxsfse0LVyg+zhn1ERRlHaiWUFCSvlvIcQfwPj6XTdKKXe2XrXOLekFFdz99Q7qDBKA/yw/SGSwDxcO7Ny2FekzA85/EbZ+CK6eMPFRCOvbtnVQFKVdae6TBFLKHcCOVqzLOWtbaoExQDTYkJLX9kECWO5/OV/4DMfDzYU7fKMY2eY1UBSlPWl2kFBaT0zXDjb7BtrZ1xwJRwuRUjKse6DDA/Hi0wq4Y9EOZH282nw4n78emkTXAK9TqouiKGe+5k7LobSiPp38+NfMfvh5uOLqIvhHXDeucHB8RE2dgas/2sJl72/i8g82c/kHm6mq1TtUxoqkE8YAAdqgvjUHcxwqQ1GUs4t6kmgJBgMcXg1lJ6D3BeAT7HAR0/p35GheOaXVei6PC8dV51j8/iMxm81H8o3bCUcLWbork38Mj2h2Gd2DvW329Qg2jZms1RtYn5xLnV4ysU8oHq46h+qoKMqZRwUJaxUFkLoWgntBp5jmnfPdtXCwfoE+zwC4aQWE9mn2JUuqarns/U3klWm9jJftyeLHO8YwqFuAzbE1dQbe+TuFDcm59OvszwPTehPs62E815y9fSdz2dBw/tqfw+oDObgIuGpEBKOjtIBXVavnig82szezGIDoMF9+unMM/p5uDl1DUZQzi2puMpe+Hf4bCz/MhQ/GwuoXmj4na6cpQABUFcHmdxs93J41B3MtPtDrDJKfd2baPfaV5Qd4a3UyO44VsWjrMe7+WutkNiOmEz7upm/2Hq4uDie+Pd10PDt7APPG9uCOSVE8OK23Ma/xR2K2MUAApOSU8fMO+3VUFOXsoZ4kzK19BWrMlsnY+D8YfRd4BzV+Tm1l8/adRIiPu+0+X9t9oE3CZ27zkXyKK2rpGuDFD7eP4YuNRzBIyT/H9KRHiGPTax3Lr2Dm2+spraoDYMnOLP68fwK+Hq6U1e8zV1Ztu09RlLOLepIwV1VkuW2o1UZAn0y3UdAp1rTt4qqNmHbA6KhgpvXvaNyOCvXh2pHd7R5rnTcI8XXHx0N7guh/6D1eOXQhrx66gIEH3nSoDgCLd2QYAwRAZlElK/ZpQemCgZ0J9DY1Lfl6uDJ7UBeHr6EoypnlnH+S0BskK/Yd52hBBZf0uoqOGdtNL/acBIH2P6wbJKQXsbvX25zXbQURbqUw8HLoPIiqWj1rDubi4ebChF6h6Fwa744qhODGMZF06eBJVJgv14yIsE1c11RAykqejPXmplwPjpdU4+vhyotzYrRjj6yFNS+Zjt/wphbA+sxo9r1w19nW0d1Vq8fB46XMHRNJTmk13u46rhoRQbcgy4BVpzegcxHN6nq7L6uYtYdy6dPRjyl9w056Tp3e0GgiP7e0mt/3ZuPj4crMgZ3xcm/hZHpGPKSugy6DIWpKy5atKGeAcz5I3PvtTpbtyQbgdV0XfjnvA/oVb4CQaBh+CwBrDuawbE82XQK8uHFMJIH1zUOfbUzluV+TAHieATx5YT9u6dyToooaLnlvE6l55QAMjQjg21tHGz9wrb2x4iBv/ZVi3PZ003FlnNnkfqUnYMF5UHyMAcD6yEkk3/A5ESF++HrU/xNm2RkAn7XTGCRq9QYWbTnK7oxiRvYI4sq4brhYBa4rh3dj4ZZjHC+pAqB/Z3/O69eRZ3/Zx+eb0gBw0wk+uWE4UaG+xvOqavU8/tNeft2dRZCPO0/N6s9FJ3nK+H1vNnd/vYOG8YPXj+rOC3NsOwlU1ep59Mc9LNuTTaivB09f1N8iz5JeUMHsdzZQWKGtifXphlSW3DW20fvssB1fwi/zTdvjH4KpahkV5dxyTjc3pRdUGAMEQK1e8kpaFMx5F8bdDx6+LE/MZu5n21mckMFbq5O57pOtyPrBBO/+fdiivHfXaB/038enGwMEwI5jRazef8JuHWrqDHy8PtVi3wdrLMsl/lMoPmbcdEtbQ//KBFOAAG3eJWs9TPueWpLIs78m8fPOTB77aS+vrbBdLyLMz5Pl943n9ok9efD83vx05xgqavR8teWoxT16b02KxXmfbEjl552Z1BkkOaXVPPj9bnJLq+2+X4AP1x7GfID5N9uOUVxZa+e4IyzdlYXeIDleUsV93+2ioLzG4ryGAAGQlF3SsuM6Nlg12W15D+oc6zGmKGe6czpISNn0vu/jMyy292WVkJhZUn+s5cGG+k8+e0neUjv7jOdZlaO3roS9vEhVieV251iY/n8Q2AMCusOFr0GkNjlfnd7Ajzss38f38el26ljLtQu28sHaI7y+4hB3LEygulZvU7+aOsu1L3anF1m+rjeQlG1VPzPWt13a2wnszrAqt87AAbNyDXbOsa7rabEuqyXLVpQzxDkdJCKCvbkgppNx29VFcNO4HhbHBHhZjgMQAgLqE7g3j+9p8dot9dtzhnTFy83UNh7s405iZjFTXlvDzV/EWzxluLu6MHdMpN1yjAZfAzoP07Z/V+g93bS9fxm83hf+fAK8g2Hechhxi/FlnYuwGc8Q4G3be+r7+Az2ZZk+hP8+mEtSdolNV9q5Yy3v0Ygelr2/vNx0DApvfFqRW8b3xDwFcWVcNzp42463sC7Xx11HjFm5Vw3vhp+n6WkqOsyXyX3DGr2uw8beY7k98jZwtd/rTFHOVk7JSQghngSuAfRoS7LdJqXc2sixc4EVUsqs1qjL21cP4fftBzl2PIdpI2Lp0yXQ+NqR3DIuHNiZNYdyjc0c/xzV3ZiwvWNSFJ38PdiWWsD0AZ2YVP8B1TPUl1+u7si3+yrx8AuiuLKWL+ubbI7klZOaV8aqByYak7WPX9iP7sHeJGaWMHtwF0b1tBqx3SkGLvkAUlaBfxeIuwnc67u31lbC0juhqn4MQ2Y8rH5eOx4tMZ+YWcwdk6L4v9/3Y5BaXuGR6WaD/bL3gKe/3SaivLJq/nv5ACaFlnO40oepsZEMjzR9eBsM2jxRVw3vxp/7jhPm58njF/a1CELZxZXkllYT06UDLi6CiwZ1oXOAJ4sTMhjePYhLhnS1/Ycx6LmpRyHH40JZmlRER39PnpzZzyLYRYb4sOTOsXy2KZWIIG+uHhHRvFHglYWQlwKdBoKbZ+PHxc2jOqgP+XtX0iFqOD4xM40vJZ8oxcVFWORmWlqt3kBiZjHdgrwJ8fVo+oSmlJ6A4gzoPAh0tv/1U/PKqa7T07eT/+lfqxmklOzLKiHQx/2MnB+sof4B3m6EB9rOVtBWauoM7MsqJiLIm+CW+D2x0uZBQggxGpiFttJdtRAiBDjZ17O5QCLQKkHCddv7zF75NBjqIC0Crl+CPrAn93yzk9/2avmK0VFBXDeyO92DfSwm43txWRKfbExFStiVUUxstwCC3Gph0ZX0OrqBpwBi/8GMY9dZXPNwbjnpBZVE1HdnfeiH3SxO0JqDDp0o5fN5I0z5hqpi+OpS7cMfYNhc8Df7Zl+caQoQDU7sAyCrqJLrFmzlSF45OhfBvLE9GNY9kKHdA+no7wmVRbDwUshMAGB23/l8ohtDrV5rVvH3dGV6aBFu78zgipJM0LlD55ch8iZA+/C/bsFWDudq5c+fEs195/W2qMobKw7yzt8pGKT2TX/RzSPJL6vhjoU7yC2t5qcdmeiltEzUF6XDlxfjVnCYZ4WOZyc/DhMetvm3255WwC1fxlNUUYu3u46IIB9mmD0Z2rV3MSy9G+oqwTsErv0eug6ze2jC0QJuXlhOYcVwvOJ1vCGzmdIvjNu+SmDNwVwApg/oyLvXDHV4GpWmpOSU8c9PtpJVXIWbTvDUrP78c3TkqRe4+V1o+D0P0H7PCY4CtA+7+7/bxZJd2n+xUT2D+GzuiJbvKWYmv6yaaxds5cDxUoTQni6fuLBfq12vpRWW13DdJ1vZl1WCEDB3TCTPXDSgzetx6EQp//xkG8dLqnDXufDs7AFcM7L5U/E0hzOamzoDeVLKagApZZ6UMksI8bQQYrsQIlEI8ZHQXI62vvYiIcQuIUTLft0oz4dVz2r/cQCKjsHaV/jrQI4xQABsPlxAWXWdRYA4cLyEBRtSjc3U+7NL+HRDKuxcBEc3mK6x5zt6+1RYXDbA240wf4/6svONAQIg/mgh324zJanZvsAUIAASPof07axMOsG/luxlYbIOGWjZ/EP0VADe/TuFI/VNW3qD5NONqQyOCNAChLHsBONp/Q+8zbdzArh0aFeuGRnBT3eOIWDLK1BSP7JaXwMr/mXMkby/5jCHc03lv7U6mYxC03s9ll/B2/UBArQPvg/WHuaV5QeMTy01dQZe+DXJcjLC9a9BQX3yXurh75egxPY7wovLkiiqT1xX1Oh55pdEmzyRBX0t/P6wFiAAKvJgxdONHv7Csv3GxHhlrZ5nftnHL7uyjAEC4M99J1jVSKeE0/HGyoNkFWu9zGr1kv/7fT8lVbbJ/WZp5Pe8wfrkPGOAANhypIDFCbY5q5a0YEMqB45rv0dSwkfrjpB8ookxSe3IZxtTjU2zUsJnG9NIymo8D9daXv3zoLE3Yo3ewIu/JVHewoNcnREkVgDdhBCHhBDvCSEm1u9/R0o5XEoZA3gBs6SUi4F44Fop5WAppc1QZiHErUKIeCFEfG5urvXLJ1d2XPvgM1d0jMzCCptDMwstL51VZDuqOqOwwqIXUoPH+uYS01V7hA/yceeVy2LxrM9ZZNopx2Jfke1/1s+3ZnDLl/Es3HKMfy1N4qWAZ6HX+VrSetRdMOlxu2UbJGQVVZl2FNuWPcwrm4en9+GBab2JDvPTPlDM1VZAeZ5WfqFt+dnFpvKziittcr0ZhZU29SqtrqPEvHeT9XuWertBwrqc3NJqqq2S6hZqyqGywHKfnX+vRssvq+Zovu3vRkahYyPsm8P63lbVGsh3cC4uo0Z+z43Xsvu73PLvyZz1+wPIsFOP9speXe3dx9ZmfR8ravQWPQBbQpsHCSllGTAMuBXIBb6rzztMFkJsFULsBaYAzXp2k1J+JKWMk1LGhYaGOlaZsP4QavWIO+BSzuvfEQ+zvvauLoLpVs0Yo3oGE2w1ncas2C7Q72Jt2c8Gbj50GTyN/101hKuGd2P2oC70CjO1Y0/qE2rRlVUILBPFAy6xrJ9nBxamWSaFFxxwo/jSr+H2DTD5cXDVnlJmWiWcowJdGHz4A1h4Gax/HfpeZPF6tUcwt8Z3YfRLfzHy/1bzzNJEiLnU8vpdhkCQ9uQyM9ay/K4BXgw2m5RwaEQgXTpYtvnPiu3MLKvzhkcGEuZvdpz1ew7soV3XivX7O69fR2PwtcsrwHZAnPW1rOpqbmrfMC4a1AVXs/El7q4uFqPlW8qsWMtxJgO6+Ds8zYpRI7/nDab0DcPbrGnJRWgj7FuT9e9OiK8Ho3o4Pnuys1j/bgT5uDMmqu3rb30fB3ULsBnkerrESR/P20B9k9JtQCwQJ6VMF0I8CyClfFYIsQZ4SEoZ33gpmri4OBkf3+RhloozYd2rUJgK/WbDcK29fcexQhasP0J1rYGO/p4kZhXTpYMXD02v/4YNpOSU8t7fh8ktrWbWoM6mabmTV2lNOW6eMOYesnz6Mf3NdZTWPwb6ebqy4v4JdO6gtZ4lZhbzwdrDlFXVcUVcODOtPiA48JvWzOTmDWPu4eKlVRbdTj3dBImj1uKa8Im2Y/hNMONlEILv49P5dXcWXTp48XTtf/E5+KPZDZsHUVNhxxfg2YFv/G/i8dWW37S/vnk4Y/J+0iYxDOkNEx8BX1MPoh/i0/lldxaB3m5cM6I7o6z+oxzNL+edv1I4XlLFnMFduWxYuNb0tSGVvw/m0LujH/dM7UWQ9fxVO76CxB8p9O7Bf2qvYE+unpE9gnloem+83bWgWlNn4MO1h9l0OJ/Y8A7cPSUav6Zmpa0shLWvwom90HMyjLnHbhK3ofyP1h1mY0o+A8M7ML++/E2H8/hsYxo6Ibh5fA/iIoPsnn86pJR8ufkoK5KO0zPEl/lToi0DqaMa+T1vsDu9iI/WH6G6Vs91o7ozqU8L9hJrxC+7s/gxIYNgX3fumhzdqp0AWsNve7L5Pj6dIB937pwURa+Ofm1eB4NB8vmmNFYfOEFUqC/zp/Qi1M/x5LUQIkFKGWf3tbYOEkKIPoBBSplcv/0iEABcAUQCOmALsLg+SPwKvCGl/Lupsk8pSKRt0NqpC1Kh/2yY9aap5xDw5eY0nl66z7jduYMn6x6ZjFt9onLhlqO88scBymrqmNavI/+9arDxQ6zBR+sO83+/H7DY96+Z/Sy60L63JoW3V6dQXafn4sFd+c/lscZroK/Vkq17vwdXL/7u+wy37uhmTDC/HZfDRYn3Wb6vq76Bvheatg0GeDHU1C4N4NEBHjc1O/z7tySbgX3/viSG0qo6Plyr5QhumxjF7ROjLI55cVkSn21KQ2+QjO8VwofXD7O5B6dq7mfbLHIAVwwL59UrBrVI2YqiaE4WJJyRk/AFvhBCJAkh9gD9gWeBj4G9wBLAbAIlPgc+aJXEdW0lfHc95CRpycw931nOfwSsTLJMSmYXVxmnzM4orODppYmUVtchpbay2ydWH7KA3TUX/M3GXyRllfCf5QeprNVjkPDzzky+227WLr/jS9jzLUgD1JYzee8jrL2hE69dMYhl88dxUccCm/IbejgZubiAn1UTgr/lE8t5/SybTdxdXfDzcOXlPw5QWFFLYUUtL/9xgE0pecZjdqUXsWBDKvr67PT65Dy+3tp4O78jquv0rD1kmWda2QpJYkVRGueMnESClHKMlLK/lDJWSnlpfQ+nf0kpo6WU50kpb5RSPlt//I9Syj6NJa5PS94h20TmMcvhGtbtwG46Qbf6PtGHTpTajPrdf9y2h8PswV0Y0MXU9zymqz8XmTUp7bczOtli34lEm9e7VBzk8mHhWo+rqCmA+TxMwv5kdDNeBtf6OOvuC9P/bfHyyJ7BvH31EIZHBjK+Vwifzx1Oup0EY8LRQuPPaWYDAxuk2tl3KjxcdYQHWn4vOOV2eUVRTsm5PcFfSG/wCtTaqRt0G2FxyN1Totl5rIi9mcV4urnw+AX9jG1+wyKC8HHXUV5j6r45oZdt8tzb3ZWld41lfUoeAhgXHWLRr35UVDBuOmFsPgKY0NusnKgp2vxNDVzcLOZlossQuPRjbf0LpNbOHm6n73+/WfBAkvaU0XkQeNoOmrqocikXVX8IBi+oehgRMdHmmGGRpgGH43qF4O2uo8LsHpw/oJPWL7AZs8E25aVLYrnn250UlNfQuYMnz81u+77oinIuc3riuiWdUk7iyFr47UFTQm/2W+Bhm4BKyysnyNfdpuloy5F8Xv3zIHll1Vw2NJz5U6KbNVW2tb8OnOC/q5Ipq67j2pHdbaYHYfN7WqDw8NW6uJpPy9Fg+wJY/6bWLDVmPoy+07FKHFoBX19h2hYucOdWPtqv48O1R5DAbRN6cptVTmLHsULe+SuFsqo6Humym7hDb2qBd8i1cMGrjSaGm8VgoHbPYspTt+HXZxK6/rNOvSxFUew6WU7i3H6SAOg5EeY3HVgiG2nmGNUzmPlTonnp9wN8vimNkspaHrugr8MjcL3cXPGpT/b6eth240yMuJb/7I/jRHEVF2d14Y5e0jIYpW/Xgl2DPx/XpvPoMaH5lUhda7ktDZC2jlsn3ExEkA8frjvM74nH6RroZdFFc2hEIJ/OHa5N+fDfmdq4BtCCWmhfbc6jU7XiSdy2vEcAwO6P4bxntRl6FUVpEypInKbC8hpuX5hAVa02iGvBhlQ6B3jZPgmcxImSKuZ+ts04EGxPxl7C/DyNk9VV1uj556fbjINk/rP8IH6eblw/ymxBpKMbbQtO2+hYkDBfYc+4bxD7s0u4c1GCMf8y/5uddAv0ZpDZmAgAMneYAkSDjO2nHiT0dZbNbABbP1JBQlHa0Dk9C2xL2JNZbAwQDbYeyXeojI0peTYjhVcfMPXi2ZVeZDOK8u8DVusmhNt5UmxkTqJGDbxCmzzQxQ3cfGDKv6DbcNYeyrVI0EuJRbdUUx2Ga+eaixjtWB3MCWE5+y2cfEI+RVFanAoSp6lfZz/crJb9tPmG3YToMNtBRL3CTHmRqFAfi1G+AL06Wp0TOQ6mPAUe/lrPpYmPQu/zHaoHLi7sHvQ0j/ZbwTMDlnOk3x0A9La+ViP78O8Ml38CQT3BswOMvlubkPBUuei0wXtGAiY+durlKYriMJW4bgFLd2Xy79/2U1Bew0WDuvDSpQNPPj2EHa/+eYCP1h2hVi+Z1r8jb189xKKMr7Yc5eXf91Neo2dkjyA+uj7O7hoMSKn9cXE8/h84XsLstzdSo9eeagK83fjrwUkEervx9NJ9fL3tGFJKzu/fiQBvN2r0Bq4d2Z1h3QObKPk0Ze3UmrK6j4Wwvq17LUU5B7WrEdetyVlBArRpFOoM0jRK2kG5pdV8ujGV0sparh8dSZ9Otj2sKmrqKK2qM83i2sJeWX6A962WTn3lsoHG6UaKKmrILa3m0vc3GVfac9e58Mv8sW22BoGiKC1P9W5qA0IIm2an5qqs0TPn3Y3GWSR/SMjgl7vH2QQKb3fXFpvuwh7rCQu1faacQIC3O7/vPW6xFGuN3sCvu7NUkFCUs5TKSbQDfx/MsZhmuLrOYHcN6tZ25fBu9DULTON7hdgsB2pv8rDQVlgNS1GU9kE9SbQD9lYA8/Fo+38af083lt06iCMbfkDn4UXU2PO0eaPNTO4TyqQ+ocbeTQO7duBy81XlFEU5q6gg0Q5M6BXKiB5BbEvV5pHq3MGTa1t4CcJmKcvB9eMp9G5YjOjAR3DTCuP6FACuOhc+v3EEu9OLqK4zENc9EBeX059+Q1GU9kkFiXZA5yJYdNMIFmxIpaiiltsnRhFoJz/Q6nZ+ZblaXfYubR0JOwvzONrNV1GUM5MKEu2AwSC5+4sNVB3eQJn04sodkVwzeQh1esmFsZ3pGtCyM6Q3qraKXOnPr/oxeFHNHN1GvPYt0VY1U11PFeWcpBLX7cCmQ1kEH17CWsNgEmQfkss8eO7XJP79+36mv7muzRaIz466nBk1/+H5un/iJyrxEjWQtAQ+GAuH/2qTOiiK0r6oINEO6I78xRLDOLuvlVXXsXDL0Tapx/fJLuRLf8JFLrN0W0wvGOpg87ttUgdFUdoXFSTagZiuHZxdBSt2BlieRYMuFUVpPhUk2gG/ATOY67fN7mu+Hq5cZz7bayu6Ii6cIB93MmQYy/QjTS+4uMLou9qkDoqitC9qWo72orqMNauWsjfXwJAhw8mq8aGwooaZsZ0Jr18utS3klFbxy64svHSSS7124FV6FPrOhLB+bVYHRVHalpq7SVEURWnUyYKEam5SFEVRGqWChKIoitIoFSQURVGURqkgoSiKojRKTcvRThwvrmLhlqOUVddx+bDwdjh2wjFSSn7emcm21AIGdwvgirhu6NREgIpyxlFBoh0or67jonc2kFtaDcCirUdZetc4+nc5Qxfyif+U11el8k7RKAC+3Z7O/uwSnrs4xskVUxTFUaq5qR34fW+2MUAA1Ool769NcWKNNAaD5PONqVz/yVae+3UfBeU1TZ+0bwksu5+vi/pb7P52ezoGw9nT3VpRzhXqSaIdOJJXbrMvvaDSzpFt6/21h3n1z4MArE/OY09GMT/eMebkJx38HQA/UUGBND0J+Xq4qnUnFOUMpJ4k2oGxUcE2+0b3DHJCTSz9ujvLYjvhaCFZRU0Er+BeADzk+j069AAI4OHpfVqjioqitDIVJNqBsdEhTOtnWku6Z6gPt06IcmKNNNbrWPi46+jg5Xbyk0bdDj0mcJFuC2u8HuW/semsfnAiV41wwkp7iqKcNtXc1A4IIXj32mEs2HCEoopabpvQ0zkr0zVIXgmH/+Kh7rHsyQght6wGN53giZn9ml5728OPA9MXsXpLPD6+AVwyZiAdvJsILIqitFsqSLQDdXoD//hoMzuPFQHw885Mlt41li6nsyLdiX3w671wPBGipsDst8AnpOnzti+A3x4EoB+wIfZ6Eoc9T0SQD6F+Hic/F9iTUcTl72+mRm8AKlm0p5Tf7x2Pm87Bh9atH8G+n6BDOEx6HIKd/2SlKOci1dzUDqxLzjUGCIDc0mq+3nrs1AuUEn6YCxnboa4SDv4GfzzavHO3fWyx6bH3a4Z11DUrQAB8s+1YfYDQJOeUselwfnNrron/FP54GI5thr0/wJdzQF/nWBmKorQIFSTagepag+2+Ov2pF1iRD3mHLPcd22L/WGtuVk8vOndwaX5zkaebzmafl519J7X/V8vt4mOQtdOxMhRFaREqSLQDk/uGERlsWjPC213HP4Z3O/UCvYMhyKp5JtzuLMC2JjyiLTLUYOy94N789SzmjokkyCyfMr5XCMMjA5t9PgCBPSy3XVwh4DTuh6Iop0ytJ9FOFJbX8NnGVIora5k7tgc9QnxOuazy6joKUrYRvv4RRENOYs774NexyXOravVsTUigU/4WogeORhcx3OHrF5WUsWrDBoL8/Zg4Zozj03GUZMHCyyAnSXuSmfo0jJnvcD1aQkZhBdvTCojp0oFeHf2cUgdFaW0nW09CJa7biXf/TuGzTWnoDZIjeeV8dH0cXu4ONtMAv+3J5tEf91BWXUdE0At8emcc0WHN+3ArLK/hkvc2kpZfAUQx7Fgt395qcCzpXJJFwKfTubyoPqdy/DK4/FPH3oR/F5jzASR8BsHRMPwmx85vIX/uO85di3ZQVz9S/JmL+nPj2B5NnKUoZxfV3NTaio5BSfZJD9l5rJAFG1LR138YrU/O4+ttjieuq+v0PLlkL2XVWpL3WEEFL/1+oNnnfxefXh8gNAlHC1m9/4Rjldj6gfaeGyT+CBkJjpVxZA0smKIFiRVPwtf/cOz8FvLGikPGAAHw5spD1Olt80eKcjZTQaK11NXAt9fCfwfCG/3gl/laryM70vJtp+VIzStz+JLFFbUUVdRalWNbdmPKqmx7EJXa2XdS5XZ6MlXkOVbGto/BYHbd1LVal9421hBsG1TW6i2ChqKcC1SQaC17f4ADy+o3JOz4Eg6vtnvouOhQmx5A0wd0cviSYf6eDOoWYLHvfAfKuWRoV4t6hPp5cH5/B+sx+GoQZr9WHbpBj4mOleFipxXUgR5WLeWakZajxC8bGm7Zeyt7j/akVO5gEFSUM4jKSbSWgsO2+/IPQ/R5NrtD/TxYePMI3vkrhfJqPdeOimB8r9BTuuxrV8Ty9uoU0vLLmdQ7lPlTezX73KhQX5bePZYvNqXh7a5j7tgejo+WjhwHN/wKCV+AbyiMugvcPB0rY8x8OPSnNsYDoP/FENrbsTJawF2To4kI8mLT/nRiunfkHyO6m15c/Tysf1372c0H/rkEuo1o8zoqSmtTQaIF5ZZWs2DDEY4XV3F9t1HEIYD65gmdO/SadtJzM4sqKa/Wk1Ho+AywUkqe+zWJhVuOIoEr48K577zeDs28Wqs38N7fKfyyOwtXFxd0Li48dkFf4+sGg+SDdYdZnniciCBvHjq/D5HWvbBqq7TBcPt+Bg8/COoJw2+2PEZfB/uXQkEq9J0JYf0sXw+Po/qOrWRs+Qmf0O50irvYwbvRQnIOcNG667goPxkyO0Onj6HHeKgogI3/Mx1XWw5r/wPXLW5WsRU1dbyx4hBbUvOJDQ/g4fP7OHcaFkU5CRUkWojeILn64y2k5Gi5hKW74Ocp7zAk61stQIy9V/vAtCO9oIK7v95pbO9+9c+DRAb7MDO2c7Ovv+ZQLp9vSjNuf7MtnfG9QrlwYPPL+HlnJkt2aTO/1ugNfLD2MFP6hjGihzYj7cfrj/Cf5drU4XsyitmbWczfD06yDETbP9aaYACqiuG3hyBqKgSZ9Qr6cR4kLa2v+Etw7Q9aN916aXnlXPVRCsdLtKeH2/OTLYJVm/n9IchP1n4uzYald8G9u6GmzDJnAlBV1Oxin1m6jx8SMgBIzCwhq6iSz29UTyFK+6RyEi1kV3qRMUA0eO94X5i7DK7/CXo23i6/LbXAJiG68bBj7dyHjpfa7jthu+90yliZZNnT6Wh+BQetr5G9x6oECScSTZsFqaYAAdqH7eZ3Lc549+8UjpdUGbc/WneYzKamKG8NOfstt4uOQm0FBERYBDUAhs1tdrErrXqMrT2US02d6jWltE8qSLSQIDvNBSG+zWtCsLeedayDa1xP6B2K+Rd6IWBib8fyGpP7hllsu7oIxvcyTQpoPcDP082FLh2spvHoOcly29UTuo2yrJgNy305Zqv0ARgk5FntaxO9zrfc7j4WhE5rTgvpAyNuhaH/hKu/hSHXNbtY6/sYHuiFu6v6r6i0T236mymEeFIIsU8IsUcIsUsIMbItr9+aeoT4cMNoU2Kzo78HtzVzTYg+nfx4alZ//DxdcdMJrh7RjcuHhTt0/X6d/Xnv2qEM6hZAbHgH/vuPwQyJcGw6jLHRIfzn8lgGdPFnWPdAPvrnMLoHmz7Q7p/Wm76dtIF5Xm46nr1ogG1ie/A1MPlJ7dt2lyFw1ddaArtBYCQMuMS07eIGo++yKOLSoV0ttnuF+TLQwaDZIi78D8TN06Y4ibkMLvsEvr8elt0PW9/Xuur2mg59LnCo2OdmD6CTv5bMD/R246VLYluj9orSItosJyGEGA3MAoZKKauFECGA87N1tZWw8hlIXgFh/WH6i43mDtYdyuV/q5Mpq6rj2lER/HN0JKANOnv1zwPkllYzd0wkE3uHMKhbAP9dlczaQ7n07eTHv2b2p1uQ7RxIBoPkrb+S+WV3FgO7+vPgtL4MszPX0e70Il5ZfoDjJVXMGdyVuydH2ySlDVIrzyCl3SEZG1PyeHPlIUqqarlqeATzxtmOHjYYJPr6PwazFpDf9mTzwdrD6FwET17Yl6tGRODnadvzaUtqAW/sH0+hYSRX9u3GLdGme/nttmN8vikNb9d5PDdmMgO9C6DPhRCqrVq3PPE4769JoVYvuX50d/LLqunSwYtbJ/Y8aQJ+b0Yxryw/QFZxJRfFduGeqb2o1Rt49c+DrN5/gqhQX56c2Y+eob4297xzB08em9GPgeG2QahUevJ/NTeyqXo2MTUdeLawmNDkFWZHSNj2EfSb1WjdrH2yIZVvtx2ja4AnD07rzUWDu9idFNFcekEFLyxL4uCJUib2DuXxC/o5PBr/4PFS/u/3/RwrqGBGTCcemNbb8enblXNSWyauOwN5UspqACllHoAQIg2Ik1LmCSHigNeklJOEEM8CEUDP+r//K6V8q8Vrteo52Pah9nNhKhSmwZ2bbA47XlzFzV/EG6fBfnrpPjp38GJUzyDmfrbNOOjscG45fTr58dfKZL7achTQ2u4zCiv57Z7xNuV+timN/67SkqNHcss5eDyejY9NsfjgqKzRc8Nn24wD5d5YeYgAbzdjkAJIyirh7q930JDauP/7XUQEezO0/mkip7SKeZ9vp7q+7fv5ZUl06uBpkdjekJzHYz/tNW7fvjCBVQ9MpLymjru/2WEMPEnZJcRFBtk8qRSW1zDv8+1U1Ggz2P779/2E+nkwZ0hX1ifnWpR9SVYoqx+83PikknyilLu+3mEcdZ6UXcL3t402Js0bU1WrZ+5n28gvrwHgf6uT8fdyI6ekik82pAKQll9Ban45qx+YiBDC5p7P/WybzT0HeOaXffy0IxPQ/g31hXo+MO+xBraz5p7Er7uzeGFZknF7X3YJk/uFNRkkbvsqgaTsEgC+3HwUATx3cUyzr1unN3DjZ9vIKtbyPO+vOYy3m86h7tHKuastv0qsALoJIQ4JId4TQjRnhFVfYDowAnhGCNHyI6pSVlpu5+yD4kybwzYdzrNYJwFgzcEcdhwrshmVvOZgDmsO5Vjs25dVQq6ddvW1h3IttvPLa9ibWWyxb1d6kc1I6jUHLc9bn5yLee5bSu3Jp8GWIwXGAGFez5Nt1xkkG1LyWJ+cZ/FkopWdx8Hjpfy8M8O47vXW1AJjgLAu07q+DWU3WJecZwwQDdZa3UN79mYWGwOE+TWt7+uR3HLSCyrry236ngOstarz8nQddYPNcg+unlqvtWayvm5VrYGtRwpOek5OaZUxQDRYY1VOUw6eKDUGiFMtQzl3tdmThJSyTAgxDBgPTAa+E0I81sRpv9U/eVQLIXKAjkCG+QFCiFuBWwEiIk5hHeWw/pCfYtr2CQXfMJvD+nSynSSvbyc/eoX5onMRFh9wfTr5ozdg/FACCPPzINDOwLS+nfwsPszddS42ic2oMB9cXYRFDyjr+jRWP3s/m9ezOWWUVttOzXGsoILp/10HgJtO8MF1w+jTyQ8hLGcfabhGS9TPnp4hPrjrXCwCeN9OfgT5uHPArLdWgLcbYf4extebuucNdTZfMCkiyBvd7Lco7nMZ25KziI4ZSY/u0U3W0bxettfwPek5Qd7uhPp5WHzB6OPgbLQRQd54u+ssAri9fw9FsadNGyWllHop5Rop5TPA3cBlQJ1ZPayH5pp/9dZjJ6hJKT+SUsZJKeNCQ09hlPL5L0KngdrPPmFw8Xugs/0wH9ClAw9O642nmwtCwMzYzlw5vBtdArx49qL++Nav/TwuOoS47oHcd1608UMhzM+DV68YhKudNuC7JkUzJioYAD9PV16cE0OIr+UqcGF+nrwwJwY/s2vcPtEyKT6xdyg3jo3ETSdwdRFcOzLCYkqN3h39eGRGH2P9L4jpxLVW005cMqQrlw7tiosAd1cX7pwURVxkEJOsyr5qeDeWJ5omLazVS95cdYgeIT48eWE/vN11CAHT+ndk7phIAC4d0pVLh5jKvmtyFMO6m5qSxkaHcOuEnrjrXNC5CGbFdianpIrlicdtnjDMBft68OIlMfh5avdmTFQwd02O5tEZfYmtzzME+7jzn8tijc06zbnnAM9fPICoUC14dO7gyauXx7IjvYix39Zwy6YApnx8kA/X2hlZ34jrRnVnxoBOCKEl/h+7oG+TM/S66lx47YpBxpUBG/JbjvDzdOPly2IJqP+SEtc9kPvPa/sR7MqZqc3WkxBC9AEMUsrk+u0XgQC0JqXXpZR/CCHeBIaY5STKpJSv1R+fCMySUqY1do3TWk+i9Li2WI+dAGGuoqaOmjoDAd6WOfeqWj0bkvN48IfdFFfW4uGq/ece2SOIIB93uwHC3KqkE3y+KY3KWj3Xjozg0qG2vZuqavWUV9cRbOcDDbRBaJ9tTEUvtcV/osNsv6VW1NRRXWtofITviX1Ub/sc4eaJ+6hbtF5K9UqrapGATghin1th8eHdPdibtQ9PBqD60N+w62s8/ENh1B0WCwat3HeC7xPS8XbXccv4njbdf0uratmVXsTNX8Qbm8dmDOjEB9cPs19fs3tTVl1n82GfU1pFoLe73SRtXlk1vh6uJ80JLN2Vyer9OcR1D+TqkRFa/iLF9HTh6eZCwr+m4ePR/IfywvIaPNxc8HZv/jl1egMF5TWE+Ts4xYmZ6jo9JZV1zV6KVjl3tJf1JHyBt4UQAWhPDylozUT9gE+EEE8AW9uwPpb8mjeRnbe7K952Pl893XS8/XcKxZVa7qC6zsBzvyax7pFJfB+fwdH8cs4f0NHi23ODnNIq5n+zk8parTkg4Wghwb4eNuMcPN10jX6g5ZRUcfG7G43XX7Izk+X3jSc80LJHVWP1ByD3EHw8FY+GOZP2fgN3bwcvLUFt3pvp4sFdjEldwPRUkroej28uBVnf/JO0FOYngJsniZnF3L4owRhcViad4O+HJtHR7IPPz9ONb7elW+RPlu87TkpOmd2g19S9CfNr/EPV3tODubdXJ/P6Sm0Z2F92Z5GYVUx+mWX+o6rWQHlNnUNB4lSm4HDVuZxWgADwcNUR6uf4GiXKua0tcxIJwBg7L60HbJ59pZTPWm03vzuHk2RbjQrOL6/mjoU7jAnLj9Yf4f1rhzEjxjIgbUjOMwaIBiuTjjs0GO73vdnGAAHaNNe/7M7izknNbzNnz7emSfUAynPhwG92B4q9clksQyICScoqYVx0iGkKkd3fmgIEQEmGNtV37+n8vjfb4umjokbPqv0nuHZkd4uy6wy2o4/t7Wtt31it6fHTjkwent6Hl/4wrdExqU/oSQORopzp1NxNLWj2oC4sqO92CVr7uHmPFinhy81pNkGiof++xb6Qkyc0rfl72TaT+dsZx3BSnnYGrNnbB7jpXLh+VHfbF3yCbfd5a6O2O3ew/TC1t++GMZGs3p9jTNSPiw6hbzOS2C3N38vNoleQt7uOm8b1oKO/J38dyKF3R1+1Up1y1lOjaVrQYxf05dEZfRnfK4Q7JkXx/MUxNrNQ2GsSGdwtgFsn9DSuBT2pT6jNWgZNuXBgZ2OiFrQE55whXU9yhh1DrteWC20QMRp6z3CsjJF3aKOqGwy8AsK1fMLlw7oxItLU3HZBTCcm9bbtSTYmKoRf5o/lmhERPD2zPwtusNtU2uoePL8Pbjphse2qc2HOkK68dfUQ7p7Sy6FmJkU5E7VZ4rotnFbiupU8/tMevtmWDoCHqwtf3TTS/gCx8nzKt3yKoaoUv5HXQ4jjA53q9AbWp+SxLTWfo/kVdA/24dbxPR1qA6+qrGDNur/x9HBn/Lgp6Fwdb8MuLClj5fqNBHbwZ/LokTZJ+8TMYjxcXejVSFfO7OJK/vnJNpJzynDTCR46vw+3TWzeFCctLauoku1pBWxLLeCXXVl4uOm497xe9p+iFOUMdbLEtQoSrUxKyabD+doiQH3C6BpgZ4RubSW8N0ob7Q3g5g23/A1hjk+P/UN8Og8vNs3EOrBrB36dP65Z5xaW13DJexuN61wP6x7It7eOcmj6hrS8ci55byOF9YP/xkYHs/CmkQi7E/vZ9+TPe1m01ZQPcHURbHpsymknbk/VH3uzuWPRDot9y+aPszsxo6KciU4WJFRzUysTQjA2OoRrR3a3HyBAmzeqIUCANh31zq9O6Xo/7rAYa8jezOJmTxn+XXy6MUCA1stqtdW01k35YnOaMUAAbEzJZ3taoUNlHCuosNiuM0jnTBVeb8cx2/rvtLNPUc5GKki0B652gocDcwKZs+7WqXMRxkFUTSmrsh1ZbT3lSFOqam17IVVZ9dxqygUxlgslhQd6OWcW2Hr2ui3b26coZyMVJNqDqCnQzWzWdN9OMOzGUyrqnqm9CDbLQdw5KarZXTQvGdoVL7PEeqifh8Wo7ea4ZkSExdoIvTv6Gkc3N7uMkRG8MCeGkT2CuHRIVxbeZJvXaEszYjpx79RedPByo6O/B/++JIb+Xdq+t5WiOIPKSbQX+lp2bFxOeUUlo8adh5vvqX9TrazRs+3wCWJT3iPwyDJtxPO057X1HZpw6EQp321Pp7pOj87FhSBvd/4xvBud7HRVPVkZX2xKo6O/BzeM6UEHO91zFUVpP9rLiGulEVJKblm4m1X7XQAfeu7bw+Lbx9hd7a45vNx1TCz4ARLe1nYUpsKiK+C+RHA7+Yd9745+3Dg2kgv/t56S+qamRVuPsuL+CTZTkdhTWlXL00sT2XKkADedoM4AD0xT8wQpyplKNTe1A5sO57PKLEF8JLecr7cePb1CU1ZZbpfnwvG99o+1smRnpjFAgLac6B+Jx5t17ucb09hSP/11rV7y1upkkh1ca1tRlPZDBYl2wHo9BIC8Mtt9DuloNYuJqycEN2+sgb0Bf15NLIzT4EheebP2KYpyZlBBoh2Y3CeUEF9TU46ri7BZ59lhEx6GHhO0n70C4aK3wLt5eY7Lh4UTYbbUar/O/jZTiTTm/P4dLbb9PF0Z1dOxxLWiKO2HSly3E8fyK/h4/RHKqmu5dmR34iJbqItlRQG4+4KrY/mNipo6ViadICWnjD0ZxehcBDeP78GYqJAmz/122zG+j08nyMede6b2IjY84BQrryhKW1CJ6zPAiqTj/LQjg6paPXUGSe+Ovvh7nVri2kIznx5sTnN3pW8nfx78frdxor31ybksv28CUXYmJDTXqYMnlbUG9mYW8+e+48R09selNBP8OoNO/copyplENTe1AweOl/Dib/spr9Gjl/Dr7myGvbiKT81mlHWGFfuOWyyZWquXrEo6+Qjs/LJqbvsqgf3ZJZwoqWblmjWUvz4I/huj/Unb0NrVVhSlBakg0Q4st9NzqFYvefG3JDIKK+yc0TYigr1t9wXZ7jO341iRxYJBL7h9hl9F/TxMpdmw9C7LRbAVRWnXVJBoBxqbbtog4XCu83oGXTiwM9MHmBLRM2M7c/6AkyewB3TxN055DhAtMi0PKEzTJjRUFOWMoBqI24GLYrvwyh8HLJp2APw9XRnWPdBJtdIWFvrw+jjS8spxEcLuk4W1LgFevHTpQF7+4wDFlbUcCRhDcPGfpgMix4N70+UoitI+qN5N7cTGlDz+tzqZtLxyhIBeYX48eH5vhkQ4L0icDr1BUqs34Kkvh1XPQuo6bVqQ818Ev45Nnq8oSttR60koiqIojVLrSSiKoiinRAUJRVEUpVFnVXOTECIXOM2Z8ZwuBMhzdiXaEXU/TNS9sKTuh6XTuR/dpZSh9l44q4LE2UAIEd9Y2+C5SN0PE3UvLKn7Yam17odqblIURVEapYKEoiiK0igVJNqfj5xdgXZG3Q8TdS8sqfthqVXuh8pJKIqiKI1STxKKoihKo1SQUBRFURqlgkQ7IYToJoT4WwixXwixTwhxr7Pr5GxCCJ0QYqcQYpmz6+JsQogAIcRiIcSB+t+R0c6uk7MIIe6v/z+SKIT4Rgjh6ew6tSUhxKdCiBwhRKLZviAhxEohRHL93y026ZsKEu1HHfCglLIfMAq4SwjR38l1crZ7gf3OrkQ78T9guZSyLzCIc/S+CCG6AvcAcVLKGEAHXOXcWrW5z4EZVvseA1ZLKXsBq+u3W4QKEu2ElDJbSrmj/udStA+Brs6tlfMIIcKBmcACZ9fF2YQQ/sAE4BMAKWWNlLLIqZVyLlfASwjhCngDWU6uT5uSUq4DCqx2Xwx8Uf/zF8CclrqeChLtkBAiEhgCbHVyVZzpv8AjgKGJ484FPYFc4LP65rcFQggfZ1fKGaSUmcBrwDEgGyiWUq5wbq3ahY5SymzQvnACYS1VsAoS7YwQwhf4EbhPSlni7Po4gxBiFpAjpUxwdl3aCVdgKPC+lHIIUE4LNiecSerb2i8GegBdAB8hxHXOrdXZTQWJdkQI4YYWIBZJKX9ydn2caCwwWwiRBnwLTBFCLHRulZwqA8iQUjY8WS5GCxrnovOAVCllrpSyFvgJGOPkOrUHJ4QQnQHq/85pqYJVkGgnhBACrc15v5TyDWfXx5mklI9LKcOllJFoScm/pJTn7LdFKeVxIF0I0ad+11QgyYlVcqZjwCghhHf9/5mpnKNJfCu/ADfU/3wDsLSlClZrXLcfY4Hrgb1CiF31+56QUv7uvCop7ch8YJEQwh04Atzo5Po4hZRyqxBiMbADrUfgTs6x6TmEEN8Ak4AQIUQG8AzwMvC9EOImtEB6RYtdT03LoSiKojRGNTcpiqIojVJBQlEURWmUChKKoihKo1SQUBRFURqlgoSiKIrSKBUkFKWZ6mdivdNsu0t9d0xHyhBCiL/q52Nq2BcphJhrddzdQohzspur0r6oLrCK0kz1c2otq5999FTLmAmcJ6W8v377DuA+tInqDgNXSSmPCyG8gY3103AoitOoJwlFab6XgSghxC4hxKv1TwCJAEKIuUKIpUKI5UKIg0KIZxop41rqR8MKIfyA54B/Ak8Bc9HmZUJKWQGkCSFGtO5bUpSTUyOuFaX5HgNipJSDwfhkYW4EEANUANuFEL9JKeOtjhkL3Fb/swFwB/wBpJRpVsfGA+OBbS1TfUVxnHqSUJSWs1JKmS+lrESbeG6cnWOC6tcLQUpZjvYU8X/AC0KI1+qbmRrkoM10qihOo4KEorQc6wSfvYRfnRDC+P9OSvkL2jw7/wFCgQfNjvUEKlu6koriCBUkFKX5SgG/k7w+rX6tYS+0lcE22jnmINoiQgghfIUQ3c3K3m9Vfm8gEUVxIpWTUJRmklLmCyE21ier/wDetTpkA/AVEA18bScfAfAb2gyeKYAb8CEQAgSjzd55jdmxY9ES24riNKoLrKK0gPpxDnFSyrubOK4z8KWUcprZvkhgkpTyc7N9Q4AHpJTXt0qFFaWZVHOTorSh+vWHPzYfTAcUAbusDg1B6xarKE6lniQURVGURqknCUVRFKVRKkgoiqIojVJBQlEURWmUChKKoihKo1SQUBRFURr1/76yVGXP4uN1AAAAAElFTkSuQmCC\n", | |
| "text/plain": "<Figure size 432x288 with 1 Axes>" | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "colab_type": "text", | |
| "id": "BDnEr2d-nZ54" | |
| }, | |
| "cell_type": "markdown", | |
| "source": "### Box and Violin plot" | |
| }, | |
| { | |
| "metadata": { | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "81HzwK2vnZ54", | |
| "outputId": "62f7e81d-d9e9-4571-9950-23c8067b67c9", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "#plt.subplot(1,2,1)\nsns.boxplot(x='day', y='tip', data=tips)\nplt.ylabel('tip ($)')\n", | |
| "execution_count": 36, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "Text(0, 0.5, 'tip ($)')" | |
| }, | |
| "execution_count": 36, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": "<Figure size 432x288 with 1 Axes>" | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "ExShL4IfnZ56", | |
| "outputId": "07a88e6f-4aa5-4e1a-8680-4e78b19a7e9f", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "#plt.subplot(1,2,2)\nsns.violinplot(x='day', y='tip', data=tips)\nplt.ylabel('tip ($)')\n\nplt.show()", | |
| "execution_count": 37, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": "<Figure size 432x288 with 1 Axes>" | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "5vIAo13FnZ58", | |
| "outputId": "ae001f3b-3948-4bc8-b99c-d4ba9e03ea2d", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "plt.subplot(1,2,1)\nsns.boxplot(x='day', y='tip', data=tips)\nplt.ylabel('tip ($)')\nplt.subplot(1,2,2)\nsns.violinplot(x='day', y='tip', data=tips)\n#plt.ylabel('tip ($)')\n\nplt.show()", | |
| "execution_count": 5, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": "<Figure size 432x288 with 2 Axes>" | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "NIvIm3o2nZ5-", | |
| "outputId": "1f36b497-bec0-4ffc-f145-f3b4026b0922", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "##Combining plots\n\nsns.violinplot(x='day', y='tip', data=tips, inner=None,color='lightgray')\nsns.stripplot(x='day', y='tip', data=tips, size=4,jitter=True)\nplt.ylabel('tip ($)')\nplt.show()", | |
| "execution_count": 41, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": "<Figure size 432x288 with 1 Axes>" | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "colab_type": "text", | |
| "id": "eotqlD1onZ6C" | |
| }, | |
| "cell_type": "markdown", | |
| "source": "## Bivariate → “two variables” data visualization" | |
| }, | |
| { | |
| "metadata": { | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "5vMcvzBxnZ6C", | |
| "outputId": "87ef214d-c654-4712-f9d7-299ad807ec03", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "#Joint plot\n\nsns.jointplot(x= 'total_bill', y= 'tip', data=tips)\nplt.show()", | |
| "execution_count": 42, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": "<Figure size 432x432 with 3 Axes>" | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "tips", | |
| "execution_count": 55, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>total_bill</th>\n <th>tip</th>\n <th>sex</th>\n <th>smoker</th>\n <th>day</th>\n <th>time</th>\n <th>size</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>16.99</td>\n <td>1.01</td>\n <td>Female</td>\n <td>No</td>\n <td>Sun</td>\n <td>Dinner</td>\n <td>2</td>\n </tr>\n <tr>\n <th>1</th>\n <td>10.34</td>\n <td>1.66</td>\n <td>Male</td>\n <td>No</td>\n <td>Sun</td>\n <td>Dinner</td>\n <td>3</td>\n </tr>\n <tr>\n <th>2</th>\n <td>21.01</td>\n <td>3.50</td>\n <td>Male</td>\n <td>No</td>\n <td>Sun</td>\n <td>Dinner</td>\n <td>3</td>\n </tr>\n <tr>\n <th>3</th>\n <td>23.68</td>\n <td>3.31</td>\n <td>Male</td>\n <td>No</td>\n <td>Sun</td>\n <td>Dinner</td>\n <td>2</td>\n </tr>\n <tr>\n <th>4</th>\n <td>24.59</td>\n <td>3.61</td>\n <td>Female</td>\n <td>No</td>\n <td>Sun</td>\n <td>Dinner</td>\n <td>4</td>\n </tr>\n <tr>\n <th>...</th>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n </tr>\n <tr>\n <th>239</th>\n <td>29.03</td>\n <td>5.92</td>\n <td>Male</td>\n <td>No</td>\n <td>Sat</td>\n <td>Dinner</td>\n <td>3</td>\n </tr>\n <tr>\n <th>240</th>\n <td>27.18</td>\n <td>2.00</td>\n <td>Female</td>\n <td>Yes</td>\n <td>Sat</td>\n <td>Dinner</td>\n <td>2</td>\n </tr>\n <tr>\n <th>241</th>\n <td>22.67</td>\n <td>2.00</td>\n <td>Male</td>\n <td>Yes</td>\n <td>Sat</td>\n <td>Dinner</td>\n <td>2</td>\n </tr>\n <tr>\n <th>242</th>\n <td>17.82</td>\n <td>1.75</td>\n <td>Male</td>\n <td>No</td>\n <td>Sat</td>\n <td>Dinner</td>\n <td>2</td>\n </tr>\n <tr>\n <th>243</th>\n <td>18.78</td>\n <td>3.00</td>\n <td>Female</td>\n <td>No</td>\n <td>Thur</td>\n <td>Dinner</td>\n <td>2</td>\n </tr>\n </tbody>\n</table>\n<p>244 rows × 7 columns</p>\n</div>", | |
| "text/plain": " total_bill tip sex smoker day time size\n0 16.99 1.01 Female No Sun Dinner 2\n1 10.34 1.66 Male No Sun Dinner 3\n2 21.01 3.50 Male No Sun Dinner 3\n3 23.68 3.31 Male No Sun Dinner 2\n4 24.59 3.61 Female No Sun Dinner 4\n.. ... ... ... ... ... ... ...\n239 29.03 5.92 Male No Sat Dinner 3\n240 27.18 2.00 Female Yes Sat Dinner 2\n241 22.67 2.00 Male Yes Sat Dinner 2\n242 17.82 1.75 Male No Sat Dinner 2\n243 18.78 3.00 Female No Thur Dinner 2\n\n[244 rows x 7 columns]" | |
| }, | |
| "execution_count": 55, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "W0-CzUmknZ6D", | |
| "outputId": "43419077-7e26-4354-a6fa-8a9a387cff3a", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "# Density plot\nsns.jointplot(x='total_bill', y= 'tip', data=tips,kind='kde')\nplt.show()", | |
| "execution_count": 44, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": "<Figure size 432x432 with 3 Axes>" | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "GeCxIRyBnZ6J", | |
| "outputId": "ce0a9d40-eae6-480c-dab0-2656aa4eb912", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "#Pair plot\n\nsns.pairplot(tips)\nplt.show()", | |
| "execution_count": 45, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": "<Figure size 540x540 with 12 Axes>" | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "oqIXUZjGnZ6M", | |
| "outputId": "2eae10b5-9189-488d-ab88-b3cdba3182dd", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "sns.pairplot(tips, hue='sex')\nplt.show()", | |
| "execution_count": 46, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": "<Figure size 612.125x540 with 12 Axes>" | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "colab_type": "text", | |
| "id": "Vq_D038GnZ6W" | |
| }, | |
| "cell_type": "markdown", | |
| "source": "# Titanic data visualization" | |
| }, | |
| { | |
| "metadata": { | |
| "_uuid": "6785d87b77ba61ff565188b5dc3ff1018d21afdd", | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "FSUht7uinZ6W", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "import numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt\nimport seaborn as sns\n%matplotlib inline\n\nimport warnings\nwarnings.filterwarnings(\"ignore\")\n\n", | |
| "execution_count": 6, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "_uuid": "f1be92a3a9aa56e98c310aa603a954e87a97b0bc", | |
| "colab_type": "text", | |
| "id": "rMTdpD_rnZ6a" | |
| }, | |
| "cell_type": "markdown", | |
| "source": "### Loading dataset" | |
| }, | |
| { | |
| "metadata": { | |
| "_uuid": "6f7691827054359855b6801206e884f7dd1a0b34", | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "k6LP9bQAnZ6a", | |
| "outputId": "4c698d36-372e-47e2-9301-935b0978cdf5", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "data = pd.read_csv(\"C:/Users/ssada/Desktop/ExcelR/NEW BATCH 28 NOV/Day 5-Python Intro/Day 5-Python Intro/train.csv\")\ndata.head(10)", | |
| "execution_count": 7, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>PassengerId</th>\n <th>Survived</th>\n <th>Pclass</th>\n <th>Name</th>\n <th>Sex</th>\n <th>Age</th>\n <th>SibSp</th>\n <th>Parch</th>\n <th>Ticket</th>\n <th>Fare</th>\n <th>Cabin</th>\n <th>Embarked</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>1</td>\n <td>0</td>\n <td>3</td>\n <td>Braund, Mr. Owen Harris</td>\n <td>male</td>\n <td>22.0</td>\n <td>1</td>\n <td>0</td>\n <td>A/5 21171</td>\n <td>7.2500</td>\n <td>NaN</td>\n <td>S</td>\n </tr>\n <tr>\n <th>1</th>\n <td>2</td>\n <td>1</td>\n <td>1</td>\n <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n <td>female</td>\n <td>38.0</td>\n <td>1</td>\n <td>0</td>\n <td>PC 17599</td>\n <td>71.2833</td>\n <td>C85</td>\n <td>C</td>\n </tr>\n <tr>\n <th>2</th>\n <td>3</td>\n <td>1</td>\n <td>3</td>\n <td>Heikkinen, Miss. Laina</td>\n <td>female</td>\n <td>26.0</td>\n <td>0</td>\n <td>0</td>\n <td>STON/O2. 3101282</td>\n <td>7.9250</td>\n <td>NaN</td>\n <td>S</td>\n </tr>\n <tr>\n <th>3</th>\n <td>4</td>\n <td>1</td>\n <td>1</td>\n <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n <td>female</td>\n <td>35.0</td>\n <td>1</td>\n <td>0</td>\n <td>113803</td>\n <td>53.1000</td>\n <td>C123</td>\n <td>S</td>\n </tr>\n <tr>\n <th>4</th>\n <td>5</td>\n <td>0</td>\n <td>3</td>\n <td>Allen, Mr. William Henry</td>\n <td>male</td>\n <td>35.0</td>\n <td>0</td>\n <td>0</td>\n <td>373450</td>\n <td>8.0500</td>\n <td>NaN</td>\n <td>S</td>\n </tr>\n <tr>\n <th>5</th>\n <td>6</td>\n <td>0</td>\n <td>3</td>\n <td>Moran, Mr. James</td>\n <td>male</td>\n <td>NaN</td>\n <td>0</td>\n <td>0</td>\n <td>330877</td>\n <td>8.4583</td>\n <td>NaN</td>\n <td>Q</td>\n </tr>\n <tr>\n <th>6</th>\n <td>7</td>\n <td>0</td>\n <td>1</td>\n <td>McCarthy, Mr. Timothy J</td>\n <td>male</td>\n <td>54.0</td>\n <td>0</td>\n <td>0</td>\n <td>17463</td>\n <td>51.8625</td>\n <td>E46</td>\n <td>S</td>\n </tr>\n <tr>\n <th>7</th>\n <td>8</td>\n <td>0</td>\n <td>3</td>\n <td>Palsson, Master. Gosta Leonard</td>\n <td>male</td>\n <td>2.0</td>\n <td>3</td>\n <td>1</td>\n <td>349909</td>\n <td>21.0750</td>\n <td>NaN</td>\n <td>S</td>\n </tr>\n <tr>\n <th>8</th>\n <td>9</td>\n <td>1</td>\n <td>3</td>\n <td>Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)</td>\n <td>female</td>\n <td>27.0</td>\n <td>0</td>\n <td>2</td>\n <td>347742</td>\n <td>11.1333</td>\n <td>NaN</td>\n <td>S</td>\n </tr>\n <tr>\n <th>9</th>\n <td>10</td>\n <td>1</td>\n <td>2</td>\n <td>Nasser, Mrs. Nicholas (Adele Achem)</td>\n <td>female</td>\n <td>14.0</td>\n <td>1</td>\n <td>0</td>\n <td>237736</td>\n <td>30.0708</td>\n <td>NaN</td>\n <td>C</td>\n </tr>\n </tbody>\n</table>\n</div>", | |
| "text/plain": " PassengerId Survived Pclass \\\n0 1 0 3 \n1 2 1 1 \n2 3 1 3 \n3 4 1 1 \n4 5 0 3 \n5 6 0 3 \n6 7 0 1 \n7 8 0 3 \n8 9 1 3 \n9 10 1 2 \n\n Name Sex Age SibSp \\\n0 Braund, Mr. Owen Harris male 22.0 1 \n1 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38.0 1 \n2 Heikkinen, Miss. Laina female 26.0 0 \n3 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 1 \n4 Allen, Mr. William Henry male 35.0 0 \n5 Moran, Mr. James male NaN 0 \n6 McCarthy, Mr. Timothy J male 54.0 0 \n7 Palsson, Master. Gosta Leonard male 2.0 3 \n8 Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg) female 27.0 0 \n9 Nasser, Mrs. Nicholas (Adele Achem) female 14.0 1 \n\n Parch Ticket Fare Cabin Embarked \n0 0 A/5 21171 7.2500 NaN S \n1 0 PC 17599 71.2833 C85 C \n2 0 STON/O2. 3101282 7.9250 NaN S \n3 0 113803 53.1000 C123 S \n4 0 373450 8.0500 NaN S \n5 0 330877 8.4583 NaN Q \n6 0 17463 51.8625 E46 S \n7 1 349909 21.0750 NaN S \n8 2 347742 11.1333 NaN S \n9 0 237736 30.0708 NaN C " | |
| }, | |
| "execution_count": 7, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "data.shape", | |
| "execution_count": 8, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "(891, 12)" | |
| }, | |
| "execution_count": 8, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "colab_type": "text", | |
| "id": "Q4Q77V2CnZ6d" | |
| }, | |
| "cell_type": "markdown", | |
| "source": "\n#survival - Survival (0 = No; 1 = Yes)\nclass - Passenger Class (1 = 1st; 2 = 2nd; 3 = 3rd)\nname - Name\nsex - Sex\nage - Age\nsibsp - Number of Siblings/Spouses Aboard\nparch - Number of Parents/Children Aboard\nticket - Ticket Number\nfare - Passenger Fare\ncabin - Cabin\nembarked - Port of Embarkation (C = Cherbourg; Q = Queenstown; S = Southampton)" | |
| }, | |
| { | |
| "metadata": { | |
| "_uuid": "3abc8af913a55dac3549fca3162613ebf7a34954", | |
| "colab_type": "text", | |
| "id": "WRqd85_snZ6d" | |
| }, | |
| "cell_type": "markdown", | |
| "source": "### Data types" | |
| }, | |
| { | |
| "metadata": { | |
| "_uuid": "9db84b957e1d5ce4d9113eea6fb854021486edb1", | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "2cnKVMyBnZ6d", | |
| "outputId": "6421d3ef-3c8a-4541-c03c-6d336f04273d", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "print(data.dtypes)", | |
| "execution_count": 9, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": "PassengerId int64\nSurvived int64\nPclass int64\nName object\nSex object\nAge float64\nSibSp int64\nParch int64\nTicket object\nFare float64\nCabin object\nEmbarked object\ndtype: object\n" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "_uuid": "83e5bb463ae71370cc8ea8eb90c9ea41012b9887", | |
| "colab_type": "text", | |
| "id": "_WVg9ZewnZ6h" | |
| }, | |
| "cell_type": "markdown", | |
| "source": "### Proportion of target (Survived)" | |
| }, | |
| { | |
| "metadata": { | |
| "_uuid": "575291c275e3a14c7a511125d8878b2de0ee5fe0", | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "vaVuFgnDnZ6h", | |
| "outputId": "31161f11-bc36-46bb-a8fe-29daffea28e3", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "data.groupby('Survived')['PassengerId'].count()", | |
| "execution_count": 64, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "Survived\n0 549\n1 342\nName: PassengerId, dtype: int64" | |
| }, | |
| "execution_count": 64, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "_uuid": "caddeddbf8403ef11f872621ed80c536bcb6c78a", | |
| "colab_type": "text", | |
| "id": "NoV7ltEonZ6k" | |
| }, | |
| "cell_type": "markdown", | |
| "source": "### Visual Exploration" | |
| }, | |
| { | |
| "metadata": { | |
| "_uuid": "5692bc4d0a3c324588a4ade61e77c22957bb89fe", | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "knNdLJFDnZ6k", | |
| "outputId": "4169d0cf-0eed-4047-b902-ca00eb5167f8", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "f, ax = plt.subplots(figsize=(11,5))\nsns.boxplot(x='Survived', y=\"Age\", data=data);", | |
| "execution_count": 10, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": "<Figure size 792x360 with 1 Axes>" | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "_uuid": "72a1723fcbb75647f62d3af01e15037cfd3b6387", | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "gS1h-98anZ6o", | |
| "outputId": "dd17ab34-852f-4107-bf6c-38abe6856bb3", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "f, ax = plt.subplots(figsize=(10,8))\nsns.barplot(x='Sex', y=\"Survived\", data=data);", | |
| "execution_count": 12, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": "<Figure size 720x576 with 1 Axes>" | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "_uuid": "b60b9de0f951faf43a4ca3efb5f843e687f169ff", | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "ENLO8hInnZ6s", | |
| "outputId": "1fb2b2e7-b3f7-48f3-ac9b-2e2e99c94ebb", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "f, ax = plt.subplots(figsize=(11,5))\nsns.boxplot(x=\"Sex\", y=\"Age\", hue=\"Survived\", data=data);", | |
| "execution_count": 13, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": "<Figure size 792x360 with 1 Axes>" | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "_uuid": "b90d13e9e013e5eb6e75c68f7a9b42695cfe1014", | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "fZBniDtVnZ6v", | |
| "outputId": "5b1ace82-aa3f-4663-e8a2-a1e44127b27a", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "sns.barplot(x=\"Pclass\", y=\"Survived\", data=data);", | |
| "execution_count": 14, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": "<Figure size 432x288 with 1 Axes>" | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "_uuid": "31241c7cec7d98bb2c0f46dba0546f4574e0f409", | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "Ha8S0yRmnZ6x", | |
| "outputId": "3bf6ec7d-41ca-44c1-e882-4db8a9e1867d", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "sns.barplot(x=\"Pclass\", y=\"Survived\",hue=\"Sex\", data=data);", | |
| "execution_count": 15, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": "<Figure size 432x288 with 1 Axes>" | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "_uuid": "77f976d69f39ccc4c9ae48fc5cb05b37eb360143", | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "1obKiMi1nZ60", | |
| "outputId": "16461990-c06b-44e9-e0b1-c2352f1d48b8", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "sns.barplot(x=\"SibSp\", y=\"Survived\", data=data);", | |
| "execution_count": 16, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": "<Figure size 432x288 with 1 Axes>" | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "_uuid": "c525f8f35729055e759365c278f00c62ee3bae69", | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "uHDFzlftnZ64", | |
| "outputId": "2af4e525-256d-4287-af1f-92b40b865e35", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "sns.barplot(x=\"Parch\", y=\"Survived\", data=data);", | |
| "execution_count": 17, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": "<Figure size 432x288 with 1 Axes>" | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "_uuid": "891e6dc073cdc89f292d00acabd57bc3c71c4a34", | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "t7uaLYVLnZ6-", | |
| "outputId": "1ea4af04-f3f2-4454-9526-33affc1c5e95", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "survived = data.loc[data['Survived']==1,\"Age\"].dropna()\nsns.distplot(survived)\nplt.title(\"Survived\");", | |
| "execution_count": 18, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": "<Figure size 432x288 with 1 Axes>" | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "_uuid": "d8e6cb4fd3dd829b60fd1ece0e447557e16a5ef6", | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "iGuMwxQvnZ7A", | |
| "outputId": "2d9ce30f-3a67-458b-8520-347ee0bc5bc7", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "not_survived = data.loc[data['Survived']==0,\"Age\"].dropna()\nsns.distplot(not_survived)\nplt.title(\"Not Survived\");", | |
| "execution_count": 19, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": "<Figure size 432x288 with 1 Axes>" | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "_uuid": "2ce74e90143466e7605639121e0deb18b272bad9", | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "4EI5WN0wnZ7D", | |
| "outputId": "b68d0e95-b17f-4fdc-f8d3-41ada8998511", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "sns.pairplot(data.dropna());", | |
| "execution_count": 20, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": "<Figure size 1260x1260 with 56 Axes>" | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "colab": {}, | |
| "colab_type": "code", | |
| "id": "aDhXA4gsnZ7F", | |
| "outputId": "fd2fe07d-5162-4418-b316-0f039dcccbe9", | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "# Pclass vs Survive\ngrid = sns.FacetGrid(data, col='Survived', row='Pclass', size=2.4, aspect=1.5)\ngrid.map(plt.hist, 'Age', alpha=.5, bins=20)\ngrid.add_legend()", | |
| "execution_count": 21, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "<seaborn.axisgrid.FacetGrid at 0x1b1fabf91f0>" | |
| }, | |
| "execution_count": 21, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| }, | |
| { | |
| "data": { | |
| "image/png": 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