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JenniferNorthrup/data_visualization_with_python.ipynb

Created August 13, 2023 20:59
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Data_Visualization_with_Python.ipynb
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data_visualization_with_python.ipynb
{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/JenniferNorthrup/3500d79948131d96de2ebf16e6a2675c/data_visualization_with_python.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "N2HX33n-75hD"
},
"source": [
"# Data Visualization with Python"
]
},
{
"cell_type": "code",
"source": [
"import scipy.stats as stats\n",
"\n",
"mean = 502\n",
"std_dev = 115\n",
"low_val = 400\n",
"high_val = 590\n",
"\n",
"lower_z = (low_val - mean) / std_dev\n",
"upper_z = (high_val - mean) /std_dev\n",
"\n",
"print(lower_z)\n",
"print(upper_z)\n",
"\n",
"stats.norm.cdf(upper_z, loc=0, scale=1)-stats.norm.cdf(lower_z, loc=0, scale=1)\n",
"\n",
"\n",
"\n",
"\n",
"#Suppose that the heights of men in the United States are normally distributed\n",
"#with a mean of 65.6 inches and a standard deviation of 2.7 inches.\n",
"#Which of the following functions can be used to find the probability\n",
"#that the mean height is greater than 63.0 inches?\n",
"\n",
"mean = 65.6\n",
"std_dev = 2.7\n",
"low_val = 63\n",
"\n",
"lower_z = (low_val - mean) / std_dev\n",
"\n",
"print(lower_z)\n",
"print('wut')\n",
"#print(1-stats.norm.cdf(lower_z, loc=mean, scale=std_dev))\n",
"\n",
"print(1 - stats.norm.ppf(63, loc=65.6, scale=100))\n",
"\n",
"print(stats.norm.pdf(63, loc=65.6, scale=2.7))\n",
"print(1 - stats.norm.cdf(63, loc=65.6, scale=2.7))\n",
"print(stats.norm.cdf(63, loc=65.6, scale=2.7))\n",
"\n"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "bLubSOPxTo9b",
"outputId": "2d1fc34f-7d7a-4e14-eb26-d9689ed01e0d"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"-0.8869565217391304\n",
"0.7652173913043478\n",
"-0.9629629629629608\n",
"wut\n",
"nan\n",
"0.09293646974961968\n",
"0.8322169448845715\n",
"0.16778305511542846\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"\n",
"print(1 - stats.uniform.cdf(5.8,loc=3,scale=9))\n",
"print(stats.uniform.cdf(5.8,loc=3,scale=5))\n",
"print(stats.uniform.cdf(5.8,loc=5,scale=1))\n",
"print(1 - stats.uniform.ppf(5.8,loc=5,scale=7))\n",
"\n",
"\n",
"\n",
"print(stats.uniform.cdf(5.8,loc=5,scale=7))"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "1SeRrD-oV-D8",
"outputId": "1e2aded1-fd10-41ea-bff5-f1e09419b202"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"0.6888888888888889\n",
"0.5599999999999999\n",
"0.7999999999999998\n",
"nan\n"
]
}
]
},
{
"cell_type": "markdown",
"source": [
"___________\n"
],
"metadata": {
"id": "CcQLiratWRvk"
}
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "43iHPuZJfuMt",
"outputId": "e0692f83-2cbc-4a76-8e54-ec5928b5b0f4",
"colab": {
"base_uri": "https://localhost:8080/"
}
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Mounted at /content/drive\n"
]
}
],
"source": [
"from google.colab import drive\n",
"drive.mount('/content/drive')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "VIiUgH835IuJ"
},
"outputs": [],
"source": [
"# Libraries to help with reading and manipulating data\n",
"import numpy as np\n",
"import pandas as pd\n",
"\n",
"# Libraries to help with data visualization\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"\n",
"# Command to tell Python to actually display the graphs\n",
"%matplotlib inline"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "_4PnXDoX5IuL"
},
"outputs": [],
"source": [
"df = pd.read_csv('/content/drive/MyDrive/Automobile.csv')\n",
"# df = pd.read_csv('/location on your computer/Automobile.csv')\n",
"\n",
"import pandas as pd\n",
"\n",
"#path=\"/content/drive/MyDrive/prog_book.csv\"\n",
"#df=pd.read_csv(path)"
]
},
{
"cell_type": "code",
"source": [
"df2 = pd.DataFrame({'mass': [0.330, 4.87 , 5.97],\n",
" 'radius': [2439.7, 6051.8, 6378.1]},\n",
" index=['Mercury', 'Venus', 'Earth'])\n",
"plot2 = df2.plot.pie(y='mass', figsize=(5, 5))"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 422
},
"id": "e6xy30rQVr8M",
"outputId": "3228353d-0d26-4f69-c2b2-ebfb2f081a78"
},
"execution_count": null,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 500x500 with 1 Axes>"
],
"image/png": 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OWD8J2PEO0HUS0DYRkMkr/fL4pfEODHerg8OqPirSp08fLFmypNx9KpVtl8gYDAZIHKZ2OB5Jkv3kHAe+eRxY0ocFSbYrzAHWTwQWdjFP8nIjKpUKoaGh5W439n6cP38+4uPj4ePjg8jISIwZMwYFBQWW1yYnJyMgIABr1qxBs2bNoFKpMGLECCxduhSrV6+2HJlu27bN8pr09HT06NEDGo0GCQkJ2LNnT01/yi6PR5JUfflZwLa3zOeVTAbRachdXDoMLO0HNHsIuG8mEBAlOpFDyWQyfPDBB4iNjUV6ejrGjBmDSZMmISkpyfIcnU6HOXPm4PPPP0dgYCDCwsJQVFSE/Px8yxFqnTp1kJmZCQCYOnUq3n33XTRs2BBTp07F448/jpMnT0Kh4Lf+yuKfFNmuOB9Iec98OYdeJzoNuasjq4G0jUCnF4E2o0WnqZYffvgBvr6+5e6bMmUKpkyZgvHjx1vui4mJwcyZMzFq1KhyJanX65GUlISEhATLfWq1GiUlJQgNDb3l47300kvo27cvAOCNN95A8+bNcfLkSTRp4hxbn7kCliTZZn8ysGUGoLsiOgl5grIiYPvbwPGfgY5vi05jsx49euCTTz4pd1+dOnUAAJs3b8bs2bNx7Ngx5Ofno6ysDMXFxdDpdNBoNAAALy8vaLXaSn+8m58bFhYGALh06RJLsgpYklQ1V88Aa14ATm8XnYQ8UUEWUHjZvHxh3WhAqRadqEp8fHwQFxd3y/0ZGRno168fRo8ejVmzZqFOnTrYtWsXEhMTUVpaailJtVpdpck6SqXS8vsbrzMauYBHVbAkqXJMJmDvZ8CWN4DSgjs/n8iR9Dog5xigqQvUCgPkrv2tbP/+/TAajZg3bx5kMvN8yu+++65Sr/Xy8oLBwLkAjuLaX1lUM66cMh89nkkRnYSoPN1loDjPZSb1lJSUIDu7/DXDCoUCcXFx0Ov1+PDDD9G/f3+kpKRg4cKFlXrPmJgYbNiwAcePH0dgYCD8/f0dEd1j8RIQss5oBPZ8DCzszIIk52XUu8yeoz/99BPCwsLK3Tp37oyEhATMnz8fc+bMQYsWLbBs2TLMnj27Uu/5zDPPoHHjxmjTpg2CgoKQksJ/q/YkmUwmk+gQ5IQunwBWjwXO/So6CZFFsW8kTneah9jwIHgrKjg3p/AGakcDSk3Nh6NyiouLcfr0acTGxsLb21t0HJtxuJXKMxqAPR8BW98CyopFpyGqmrJiICcN8AsDfIK5cDpVG0uS/nb5BPDf54AL+0UnIaoGE5Cfab6ONyAaUHiJDkQujOckyezgSuDT7ixIch+lBeYZsEVXRSchF8YjSU9XVgpsmALs+0x0EiL7MxnM11QW5wP+EVVaMJ0IYEl6tmvngO+HAxd+E52EyLGKcs1HlrVjAC8f0WnIhXC41VOd3AIs6sqCJNfy12R8m+bkG0rN5925lGKNcJcLJ1iSnijlfWDZw+afrolciLIkFzCUQqe39R1MwLWzQN4FG5uWKkunM296cPPSeK6Iw62eRF8MrB0H/LlCdBIim8jLdAg4sx6XvB4GEACN0sarPPIuAroCwD8ckPHboD2ZTCbodDpcunQJAQEBkMtd+zwwFxPwFPmZwLdPApkHRCchqhYTJGQ3fALXou8H5NW8vEOmBHzqAnLXPtpxRgEBAQgNDa3SguzOiCXpCc7tBVYMAQouik5CZDcGuRp678DqLxig8gceeBcIb2WfYASlUunyR5A3sCTdXdoG4LuhXD2H6HbkKmBAEhD/sOgk5GQ4ccedHfqPeYiVBUl0e4YS4D8jgR3viE5CToZHku5qfzLwwwTAxA1Wiaqk1VNAv/dcfo9Ksg+WpDva/SGw8VXRKYhcV6P7gcFfct1XYkm6nZ9nATvmik5B5PoaPwA8spRF6eFYku7CZAJ+mgz8+onoJETuo/ED5iNKXiLisViS7sBoANaMA1K/Fp2EyP2wKD0aS9LVlZUCq0YCR1aLTkLkvhr3BQYvZVF6IJakK9MXmRcJOLlZdBIi99ekH/BIMovSw/A6SVdlKANWPMWCJKopx34wby1nsHl1dXJBLElXtXYccHKT6BREnoVF6XFYkq5oy5tA6jLRKYg807EfgJVPsyg9BEvS1ez7HNj5rugURJ7t6FrgP4nck9IDsCRdydG1wI8TRacgIsA8o3zz66JTkIOxJF3FmT3mBZi5FiuR80h5D0hdLjoFORBL0hVcOgZ88xh38yByRmtfBM7sFp2CHIQl6ezyM4GvBwHF10QnIaKKGErN1yvnnhadhByAJenMivPMBZl/XnQSIrod3RXzaE9xnugkZGcsSWdVVmreMPnSEdFJiKgyco4B3z9tXkuZ3AZL0lltnApk7BSdgoiq4tQW82485DZYks7oyGpg76eiUxCRLfYuMl/PTG6BC5w7m9zTwKJuQAnPbRC5LJkCeHIl0KCH6CRUTTySdCZlJcD3w1iQRK7OWGb+t3zllOgkVE0sSWeyYSqQ9YfoFERkD8V5wKpnzTv2kMtiSTqLw/8F9n0mOgUR2dOF34Adc0WnoGrgOUlnkJv+13nIfNFJiMjeJDkw4icgsp3oJGQDHkmKVlZi3p+OBUnknkwGYNUzQEmB6CRkA5akaBum8Dwkkbu7mgGsf1l0CrIBS1KkQ6t4PRWRp0j9GjiyRnQKqiKWpCh5F8y7BxCR51j7InA9W3QKqgKWpCg/TuR5SCJPU5QL/G80wPmSLoMlKcLRH4Dj60SnICIRTv0M/LpIdAqqJF4CUtNKCoCP2wH5F0QnISJRFN7As9uB4Caik9Ad8Eiypv08kwVJ5OnKioH/PgcYjaKT0B2wJGtS5u/c3YOIzLJSgd+/FJ2C7oAlWVOMBvPMNhM3ZCWiv2x5Eyi6JjoF3QZLsqb8uoiLBhBRebrLwLa3Raeg22BJ1oS888DWWaJTEJEz2vcZcOmY6BRkBUuyJvw4ESjluo1EVAFjGfATl6xzVixJRzu6Fjj+o+gUROTM0reZr58mp8OSdCR9ERc1JqLK2TAF0BeLTkH/wJJ0pH1f8JpIIqqca2eAPR+KTkH/wJJ0lNJCYNcC0SmIyJXsXADkZ4pOQTdhSTrKrwvN07uJiCpLXwhsnCY6Bd2EJekIxfnAbg6bEJENDq0Ezv4qOgX9hSXpCL8kAUVXRacgIle1fY7oBPQXlqS9FV0F9iSJTkFEruzUFiAzVXQKAkvS/lI+AEryRKcgIle3a77oBASWpH0VXuZmqkRkH0fXApdPiE7h8ViS9rRrgXl2GhFRdZmMQMp7olN4PJakvVzPNi8eQERkL3+sMG+QQMKwJO1l5zygrEh0CiJyJ0Y9sPsj0Sk8GkvSHgqvAPuXik5BRO7owFLz9xgSgiVpD6lfA4YS0SmIyB3pdcCvn4hO4bFYktVlMgG/LRGdgojc2d5PgZLrolN4JJZkdZ36Gbh6WnQKInJnxXnAb4tFp/BILMnq4hcuEdWEPUmAoUx0Co/DkqyOvAvA8fWiUxCRJyjIBk5sFJ3C47Akq+PAUsBkEJ2CiDxF6jLRCTwOS9JWhjLgwJeiUxCRJzmxEdDlik7hUViStjr+I3A9S3QKIvIkhlLg4PeiU3gUlqStfuMSdEQkAIdcaxRL0hZXTgHp20WnICJPlPUHcPGI6BQegyVpi98WAzCJTkFEnopHkzWGJVlVRgOQulx0CiLyZAe/5zWTNYQlWVVnUoAizi4jIoEKLgKntohO4RFYklV1bJ3oBEREHHKtISzJqjr2o+gERETA8Z94zWQNYElWRdYfQN5Z0SmIiMzb8x36j+gUbo8lWRUcaiUiZ3KcI1uOxpKsCpYkETmTM7sBfZHoFG6NJVlZVzOAi4dEpyAi+ltZMZCRIjqFW2NJVhaPIonIGfFSEIdiSVYWS5KInNHJzaITuDWWZGUUXgHO/iI6BRHRrS6nAdfOiU7htliSlZG2npsrE5Hz4tGkw7AkK4MLCBCRM+N5SYdhSd6J0QCc3iE6BRGRdek7uOC5g7Ak7yT7IFB6XXQKIiLrSvKA8/tEp3BLLMk74YQdInIFHHJ1CJbknZzdIzoBEdGdnWRJOgJL8k54JElEriArlbuCOABL8nZy04GCbNEpiIjuzGQEMg+ITuF2WJK3kZp7DN8174Xjoc1gkOSi4xAR3V7m76ITuB2F6ADObN3l3/Gt7jigBjRxDdHcJxwJkje0168hIes46hReFh2RiOhvmamiE7gdluRtHLr8964fujId9uWdgGWSdbAGEZp20KrqQqs3oGVuJhplHYPSqBeSlYiIR5L2J5lMJpPoEM5Ib9Dj7uV3Q1+F0vOWq9DUJwIJMh9oC/OQcPEkgvOyHJiSiOgfXjoB+AaLTuE2eCRpRdq1tCoVJAAUG0rwe/4pWH6Wq6NEaPhd0HoHQ6s3IeFaNpplHoWXocTueYmIAJiHXBvdJzqF22BJWnHy6km7vE92UQ6yi3KwEQAUgDImAk18I5Eg94W2sADaS+kIv3rWLh+LiDyLSe6F4oCGyFY3xDFE4xddOBpkRWBoI9HJ3AdL0opTeacc8r56ox4H89Nx8MYdAUDdkJbQakKhLZOQkHcJzbOOQl2qc8jHJyLXZFL5Iz+gCc55NcAhQzR2Xg/D1tza0F0oP/O+f1AJhgrK6I5YklacuuaYkqzI5ZJc/FySi58BQAYoIkLR0DccWoUfEoqKoM05jejLp2ssDxGJVVYrAldqNUa6vD4OlEbg56uh2J9XC8i782vTsrnWtD2xJK2oyZL8pzJTGY5eP4OjAFYAQC2gdmA84jX1oDXKoc2/DG3mUfiU8B8DkSszyZQoCYhDtqYRjiEGv+rqYWNuMC7kqIAc294z/XIB9AYjlHJeBm8PLMkKFJUVIbMgU3SMcq6W5mFHaR5ubNolCw9EfR8tEpQBSCgugfbyGdS/dBISOFmZyBmZVH64fstwaSAKM+1bZnqDCacvF6JRSC27vq+nYklWID0vHSYnLxujyYiTBedwEufwHwDwAWo1aop4n3BoTV7QXs+FNvMo/IuuCU5K5HnKaoUj1zJcGomt10KwL8+vUsOl9nA8+zpL0k5YkhVIv5YuOoJNrusLsPvacez+6/+lUH9E+zSB1qsOEkr0SLhyHnEX0yA3GYTmJHIXJpkCJQFxuKhphOOIwS9F4dh4JRjnqzFcag9pF3kqxl5YkhU4necek2RMMCGjMBMZhZlYA1iW12vhEwEtVNAWcHk9osoyqWrhun8TnFfF4ZAhCrsKwrAlNxCFmc63rnP65UK7vM/w4cOxdOlSPPfcc1i4cGG5x8aOHYukpCQMGzYMycnJdvl4zoglWYHsQvfd+UNXpsPevDTsvXEHl9cjukVZrXBc/Wu49PfSCPycZx4uNeVJoqNVSnZesd3eKzIyEt9++y0WLFgAtVoNACguLsby5csRFRVl8/uaTCYYDAYoFPatIYPBAEmSIJPZ51wvpz9VIFvnviVZkfO6bPx49RDeLjiKx7zy0LF+DIYm9MC8Vv2wqVEXXPIPEx2RyCFMMgWK6zTG2Yj+2BTxAmYFvo3u0mLE5byDtukj8eiJe/D2mUbYe80fJpNrFCRg35Js3bo1IiMjsWrVKst9q1atQlRUFFq1amW5z2g0Yvbs2YiNjYVarUZCQgJWrlxpeXzbtm2QJAnr16/HXXfdBZVKhV27dsFoNGLu3LmIi4uDSqVCVFQUZs2aVe41165ds7xPamoqJElCRkYGACA5ORkBAQFYs2YNmjVrZnlfpVKJ7Ozy38vHjx+PLl26VOnz55FkBS4WXhQdQSgur0fuyOTli4KAm4ZLC+th8xXnHC6trkvXi2E0miCT2afYR4wYgSVLluDJJ58EACxevBhPP/00tm3bZnnO7Nmz8fXXX2PhwoVo2LAhduzYgSFDhiAoKAjdunWzPO+VV17Bu+++i/r166N27dqYPHkyPvvsMyxYsACdO3dGVlYWjh07VqV8Op0Oc+bMweeff47AwEBERkaifv36+OqrrzBx4kQAgF6vx7JlyzB37twqvTdLsgIXdZ5dkhXh8nrkSgy+YebhUkUD/F4aia15Ifg1zw+mfNc5GqwOvcGEy4UlCK7lbZf3GzJkCCZPnowzZ84AAFJSUvDtt99aSrKkpARvvfUWNm/ejA4dOgAA6tevj127dmHRokXlSnLGjBno1asXAOD69et4//338dFHH2HYsGEAgAYNGqBz585VyqfX65GUlISEhATLfYmJiViyZImlJNeuXYvi4mIMHjy4Su/NkvyH3OJclPAI6Y4qWl4vKLQl4tVcXo9qjkmmQKl/A1z0aYg0xGBvcTg254Yg/bI34OHz0bLziu1WkkFBQejbty+Sk5NhMpnQt29f1K1b1/L4yZMnodPpLOV3Q2lpabkhWQBo06aN5fdHjx5FSUkJ7r333mrl8/LyglarLXff8OHD8eqrr+KXX35B+/btkZycjMGDB8PHx6dK782S/AdPH2qtjpziXPxczOX1yDFuDJdeUJkvxk8prIfNV+rgeha/jVUkK68Y2gj7vd+IESPw/PPPAwA+/vjjco8VFBQAANatW4fw8PByj6lUqnL/f3NJ3ZgIZM2NyTc37+io1986qVCtVkOSyo8SBAcHo3///liyZAliY2Oxfv36csPDlWXTV9eBAwegVCoRHx8PAFi9ejWWLFmCZs2a4fXXX4eXl5ctb+sU3Hlma0270/J6CfmXEc/l9agCBp9QXPVrjAxFffyuj8S2vDDsvuY5w6X2cCnffpN3AKBPnz4oLS2FJEno3bt3ucduTJg5e/ZsuaHVO2nYsCHUajW2bNmCkSNH3vJ4UFAQACArKwu1a9cGYJ64U1kjR47E448/joiICDRo0ACdOnWq9GtvsKkkn3vuObzyyiuIj49Heno6HnvsMQwcOBDff/89dDod3nvvPVve1inkFAm8AtgDcHk9uplJkqM0oAEu+TREmhSLfUXh2JQbjFNX1MAV0elcW26hfS/jksvlOHr0qOX3N6tVqxZeeuklTJgwAUajEZ07d0ZeXh5SUlLg5+dnOd/4T97e3nj55ZcxadIkeHl5oVOnTsjJycHhw4eRmJiIuLg4REZG4vXXX8esWbOQlpaGefPmVTpz79694efnh5kzZ2LGjBk2fd42lWRaWhpatmwJAPj+++/RtWtXLF++HCkpKXjsscdcuiTzS/NFR/AoXF7Pc5i8fFD41+zSw8YopBTUw5bcQORxuNQhrupK7f6efn5+Vh978803ERQUhNmzZyM9PR0BAQFo3bo1pkyZctv3nDZtGhQKBaZPn47MzEyEhYVh1KhRAAClUolvvvkGo0ePhlarRdu2bTFz5kw88sgjlcork8kwfPhwvPXWWxg61LYNxCTTzYO9leTn54f9+/ejYcOG6NWrF/r164cXX3wRZ8+eRePGjVFUVGRTGGfw3v738MWhL0THoJtIkBDtE8bl9VyIwScE1/yaIENRH6n6SGzLD8Xuq34wmHhpdk15qGU9vP9Yqzs/0c0lJiYiJycHa9assen1Nv0I16ZNG8ycORM9e/bE9u3b8cknnwAATp8+jZCQEJuCOIsCfYHoCPQPXF7PeZmHS+sjx6cR0qQY7PtrdukJDpcKl1to/yNJV5KXl4eDBw9i+fLlNhckYGNJvvfee3jyySfxv//9D1OnTkVcXBwAYOXKlejYsaPNYZzB9VJOInEFt1teL0FvQMKVC2iUfZzL69mRSemDwoBGuOAdhyPGaKQUhmPTFQ6XOitHDLe6koceegh79+7FqFGjbrk0pSpsGm61pri4GHK5HEql0l5vWePGbB6DnRd2io5BduAtV6GZbyS0khrawnwkXDyJ4Lws0bFcgsEn+O/h0rJI7MgLxa6r/hwudSHhAWqkvHKP6Bguz6YfAc+dOwdJkhARYb4IZ+/evVi+fDmaNWuGZ5991q4BaxqHW91HsaEEB/JO4sCNO25aXi9Bb4L2WhaaZR7z6OX1TJIMev/6uOTTCCdkMdhXFIHNV0OQxuFSl5dfxFEUe7CpJJ944gk8++yzeOqpp5CdnY1evXqhefPmWLZsGbKzszF9+nR756wxHG51bxUtr9fUNxJamQ+0ukK3Xl7PpNRAF9AIF7wb4ogxGrsL62HTlbq4ms3hUnekNxpFR3ALNv3rOHToENq1awcA+O6779CiRQukpKRg48aNGDVqlEuXZFGZ687MparTG/X4Mz8df964I8A9ltczaoLMw6XK+vhDH4Vt+X8Nl17ncKmnMBh5rbE92FSSer3estTQ5s2b8eCDDwIAmjRpgqws1z7nU2YsEx2BBHOl5fXMw6UxyPFpjBOyWOwrjsDm3GAcz9UAuaLTkUhlLEm7sKkkmzdvjoULF6Jv377YtGkT3nzzTQBAZmYmAgMD7RqwptlxHhO5CWdZXs+kUEMX0AiZavNw6R6debj0SrbrTpQjxzGZYNftsjyVTSU5Z84cDBw4EO+88w6GDRtm2Z5kzZo1lmFYV2UEx/Hpzhy9vJ5RUxfX/JrgjLIB/iiLwva8EOy6Vhv6An7Do8orM5rgxZKsFpsvATEYDMjPz7csOgsAGRkZ0Gg0CA4OtlvAmtZ9RXdcKea0Pqq+Wkpfy/J6CddzEV/B8nomSND7x+Cyb2OclMViX0kENuWG4FiBRkxocitHZ/SB2sv9NpWuSXa9TtIddFvRDbnFPJlD9nfz8npBJm/kSrWRZfBDsZHfxMgxFvabBJ9/bFVFVWPz3O+VK1fiu+++w9mzZ1FaWn5lhwMHDlh5lfMzmjjcSo5x8/J6RDVBkv1bdASXZ9N88A8++ABPP/00QkJC8Pvvv6Ndu3YIDAxEeno67r//fntnrFEsSSJyFzKJl/xUl01/gklJSfj000/x4YcfwsvLC5MmTcKmTZswbtw45OXl2Ttjjfrn7tZERK6KJVl9Nv0Jnj171rKQuVqtxvXr5qnvTz31FL755hv7pRNAJef4PRG5B7nE893VZVNJhoaGIjfXPLklKioKv/zyCwDzVlmuPg9Io+CsQiJyfSq5CnIZS7K6bCrJe+65x7I/19NPP40JEyagV69eePTRRzFw4EC7BqxpGiVLkohcn4/SR3QEt2DT7NZPP/0Uxr8Wzx07dizq1q2LlJQUPPjggxg1apRdA9Y0HkkSkTvg9zL7sKkkZTIZSktLceDAAVy6dAlqtRo9e/YEAPz000/o37+/XUPWJLVCLToCEVG1+Xr5io7gFmwqyZ9++glPPfUUrly5dWUaSZJgMBiqHUwUDrcSkTvgkaR92HRO8oUXXsDgwYORlZUFo9FY7ubKBQnwC4uI3AOPJO3DppK8ePEi/vWvfyEkJMTeeYTjyW4icgc+Cn4vswebSvLhhx/Gtm3b7BzFOQSqXXurLyIigEeS9mLTOcmPPvoIjzzyCHbu3In4+HgoleX3sxs3bpxdwokQpA4SHYGIqNrqquuKjuAWbCrJb775Bhs3boS3tze2bdtWbik3SZJYkkREggVrXHfLQmdiU0lOnToVb7zxBl555RXIZO61NmBdDX/6IiLXx5K0D5sarrS0FI8++qjbFSTAI0kicg8hGvebWCmCTS03bNgwrFixwt5ZnEKAKgAKmc3bbBIROQUeSdqHTW1gMBgwd+5cbNiwAVqt9paJO/Pnz7dLOBEkSUJddV1kF2aLjkJEZBOVXIXa3rVFx3ALNpXkwYMH0apVKwDAoUOHyj3mDvsxBmuCWZJE5LJ42sh+bCrJrVu32juHU4mqFYU/c/4UHYOIyCYcarUf95t5YwcxfjGiIxAR2SzGP0Z0BLfBkqwAv8CIyJXF+sWKjuA2WJIV4JEkEbmy+gH1RUdwGyzJCkT5RUGC609AIiLPFOvPI0l7YUlWQK1QI9QnVHQMIqIqU8lVCPcNFx3DbbAkreCQKxG5omi/aMgkfmu3F/5JWsHhCiJyRfX9eT7SnliSVjSp00R0BCKiKmNJ2hdL0oqmgU1FRyAiqrLmdZuLjuBWWJJWNAhoAC+Zl+gYRERV0qJuC9ER3ApL0gqlTIlGtRuJjkFEVGnhvuGo411HdAy3wpK8Df5ERkSuJL5uvOgIbocleRvaIK3oCERElcaStD+W5G3wC46IXEl8EL9n2RtL8jZi/GMQoAoQHYOI6I4UkgJN63BWvr2xJO+gbWhb0RGIiO6oUZ1G8FZ4i47hdliSd3B36N2iIxAR3dHdYfxe5QgsyTvgFx4RuYIOYR1ER3BLLMk7iPGPQYgmRHQMIiKrVHIVWoe0Fh3DLbEkK4FHk0TkzFoFt4JKrhIdwy2xJCuhfVh70RGIiKzi9yjHYUlWAo8kiciZdajH85GOwpKshGBNMOIC4kTHICK6RW1VbV4f6UAsyUrqEdlDdAQiolt0qNcBkiSJjuG2WJKVdG/0vaIjEBHdomd0T9ER3BpLspKaBzZHPZ96omMQEVmoFWp0Du8sOoZbY0lWwT1R94iOQERk0Tm8M9QKtegYbo0lWQX3RnHIlYicR88oDrU6GkuyClqHtOau30TkFLxkXugW2U10DLfHkqwCmSTjLFcicgod63WEj9JHdAy3x5Ksoj6xfURHICLirNYawpKsortD70aYT5joGETkwdQKNedI1BCWZBVJkoQHGzwoOgYRebBe0b3g6+UrOoZHYEna4KG4hyCBK1wQkRgD4gaIjuAxWJI2iKwVyb3biEiIqFpRaBvaVnQMj8GStBF/kiMiEQY2HCg6gkdhSdrovuj7uNIFEdUouSTnnIgaxpK0kUapQe+Y3qJjEJEH6RTeCcGaYNExPApLshqeaPKE6AhE5EH+r+H/iY7gcViS1dA0sCnuCrlLdAwi8gD1fOqhe0R30TE8Dkuymp5q9pToCETkAR5v8jjkMrnoGB6HJVlNPSJ7IMI3QnQMInJjaoUa/9eIQ60isCSrSSbJ8ERTnpskIscZEDcAfl5+omN4JJakHQyMG8jV+InIIeSSHEObDRUdw2OxJO3A18sXA+N4gS8R2V/P6J6IqMVTOqKwJO1kWPNhUMqUomMQkZt5uvnToiN4NJaknYT6hPIaJiKyq07hndC8bnPRMTwaS9KORsaP5NEkEdnN8y2fFx3B47Ek7YhHk0RkL90juqNF3RaiY3g8lqSdjYwfCS+Zl+gYROTCJEgY22qs6BgElqTd8WiSiKqrZ3RPNKnTRHQMAkvSIXg0SUS2kkkyjEkYIzoG/YUl6QAhPiF4rMljomMQkQvqHdMbcbXjRMegv7AkHeS5hOdQW1VbdAwiciFKmZIzWp0MS9JB/Lz8MLrlaNExiMiFDGk6BFF+UaJj0E1Ykg40uNFgxAVw2ISI7izQOxDPJTwnOgb9A0vSgeQyOSa2mSg6BhG5gBdbv8iNEpwQS9LBOoZ3RJfwLqJjEJETax7YHAPiBoiOQRVgSdaAiW0nQiEpRMcgIif1SrtXIEmS6BhUAZZkDYj1j8WQZkNExyAiJ/RA7ANoGdxSdAyygiVZQ8a0HIMIX+4JR0R/q6WshX+3+bfoGHQbLMkaolaoMb3DdNExiMiJvNT2JQRrgkXHoNtgSdagDvU64MEGD4qOQURO4O6wu7nOswuQTCaTSXQIT5JXkocH//cgcotzRUchIkHUCjVWPbgKEbV4CsbZ8Uiyhvmr/DG53WTRMYhIoHGtxrEgXQRLUoA+sX3QPaK76BhEJEBCUAKeaPqE6BhUSSxJQaZ3mI4AVYDoGERUg7xkXpjRcQZkEr/1ugr+TQkSpAnCax1eEx2DiGrQhLsmoH5AfdExqApYkgL1jO7JpaiIPES3iG5cVMQFcXarYDq9Do+sfQRnr58VHYWIHCRYHYyVD65EbW/uMetqeCQpmEapwdxuc6GUKUVHISIHkEkyvNXlLRaki2JJOoHmgc0xvvV40TGIyAESWyTi7rC7RccgG7EkncRTzZ5Ct4huomMQkR0lBCVgTMsxomNQNfCcpBPJL83H4z88zvOTRG4gQBWAb/t9i3DfcNFRqBp4JOlE/Lz88H6P96FRaERHIaJqUEgKvNvtXRakG2BJOpm42nGY1XkWJHADViJX9e82/+Z5SDfBknRCPaN7YmT8SNExiMgGA+IG8HpIN8KSdFLPt3oeXcK7iI5BRFWgDdJiWvtpomOQHXHijhO7XnodT6x7Ahn5GaKjENEdBKuD8W2/bxGkCRIdheyIR5JOrJZXLXx878eo411HdBQiug2VXIUFPRawIN0QS9LJRflF4aN7PoJaoRYdhYgqIJfkmNt1LrRBWtFRyAFYki4gPige73Z7FwpJIToKEf3Dq+1fxT1R94iOQQ7CknQRXSO6YloHTgggciZjWo7Bw40eFh2DHIgl6UL+r+H/YUwCl7gicgaDGw3G6ITRomOQg7EkXczolqP5kyuRYD2jemJq+6miY1AN4CUgLshgNGDKrin48fSPoqMQeZy2oW2xsOdCeMm9REehGsAjSRckl8nxVue3cH/M/aKjEHmUNiFt8NE9H7EgPQhL0kXJZXLM7jIbvWN6i45C5BHahLTBx/d+DI2SGxB4EpakC5PL5Hi7y9voFd1LdBQit9YmpA2SeiaxID0QS9LFKWQKzO06F/dG3Ss6CpFbahvaFkk9k7igh4diSboBhUyBd7q9g3sieUEzkT21C22Hj+/9mAXpwViSbkIpU2J+9/kYGDdQdBQit9AhrAM+updLQno6XgLiht7b/x6+OPSF6BhELuv+mPsxq/MsKOVK0VFIMJakm/rqyFd4Z987MIF/vURV8XiTx/FKu1cgkzjQRixJt7YufR1eTXkVZcYy0VGInJ4ECS+0egHPaJ8RHYWcCEvSzaVcSMGEbRNQVFYkOgqR01LIFJjRcQb6N+gvOgo5GZakBzhy5QjG/TwOF3UXRUchcjq1lLUwv8d8tA9rLzoKOSGWpIe4XHQZE7ZOQGpOqugoRE4j1j8W7/d4H7H+saKjkJPimWkPUVddF4t7L+YlIkR/6R7RHcsfWM6CpNvikaQHWnZ0Gd7Z9w4MJoPoKEQ1ToKEZ7TP4PmWz0OSJNFxyMmxJD3Unsw9mLhjIvJK8kRHIaoxGoUGszrPQs/onqKjkItgSXqwc9fPYeL2iTh85bDoKEQOF1krEu/3eB8NazcUHYVcCEvSw+mNery3/z18deQrLjxAbuv+2Psxvf10+Hr5io5CLoYlSQCAHed3YFrKNOQW54qOQmQ3GoUGU+6egofiHhIdhVwUS5IsLukuYfLOydibvVd0FKJqaxbYDHO7zkW0X7ToKOTCWJJUjtFkxKd/foqFfyzk7FdySRIkDGs+DONaj4NSxgXKqXpYklShgzkHMX33dJy8dlJ0FKJKC9YE482Ob6JjeEfRUchNsCTJKr1Bj0V/LsIXh77gIunk1CRIeLjRw/jXXf/i5ByyK5Yk3dHx3OOYljINR3OPio5CdItov2i81uE1tA1tKzoKuSGWJFVKmbEMSw4twcI/FqLUWCo6DhHkkhxDmw/F2JZjoZKrRMchN8WSpCpJv5aOGb/MwP6L+0VHIQ/WpE4TvNHxDTQLbCY6Crk5liTZZF36Osz7bR5yinJERyEPEqAKwJiWY/BIo0egkClExyEPwJIkmxXqC7Hoj0X4+ujX0Bv1ouOQG1NICjza5FGMThgNf5W/6DjkQViSVG1n88/i3d/exdZzW0VHITfUKbwTJrWZhPoB9UVHIQ/EkiS7+TXrV8zfPx9HrhwRHYXcQIxfDCa2nYiuEV1FRyEPxpIku9tyZgs+Sv2ICxGQTer51MOz2mfxUNxDPO9IwrEkySGMJiM2ZGxAUmoSMvIzRMchFxDqE4pn4p/BwIYDuZwcOQ2WJDmUwWjA2vS1WPjHQlwouCA6DjmhYE0wRsaPxMMNH4ZSznIk58KSpBqhN+rxw6kf8OWRLzkMSwCAEE0IhjcfjkcaP8LFAMhpsSSpRplMJqRkpiD5cDJ+zfpVdBwSoEVgCwxtPhS9onvxnCM5PZYkCXM89ziWHl6K9RnruYC6m5NLctwTdQ+eavYUWgW3Eh2HqNJYkiTcxcKL+ObYN/jfyf/hSvEV0XHIjnyUPhgYNxBDmg1BuG+46DhEVcaSJKdRZizD9vPbserEKqRcSOGmzy7srpC7MDBuIHpF94JGqREdh8hmLElyShcLL2L1qdX474n/4nzBedFxqBJCNCF4sMGDGBg3EJF+kaLjENkFS5Kcmslkwr7sfVibvhY/n/0Z+aX5oiPRTbzl3uge2R0D4gagQ70OkEky0ZGI7IolSS5Db9Rjb9ZebDqzCVvObsG1kmuiI3kkb7k3ukR0wX3R96FrRFcOp5JbY0mSSyozlmFf9j5LYeYW54qO5Nb8Vf7oGt4V90Tdg471OrIYyWOwJMnlGU1GHLlyBLszd2N35m78kfMHLympJpkkQ9M6TdE+rD061uuI1iGteU0jeSSWJLkdnV6Hfdn7sDtzN/Zk7cHpvNOiI7mEaL9otA9rj7vD7ka70Hbct5EILEnyABcLL+KPnD/wZ86fOHj5II5cOYJiQ7HoWEIpZAo0qt0I8XXjEV83Hu1C2yHMN0x0LCKnw5Ikj1NmLEPa1TRLaR66fAhn88+izOSeQ7QSJET7RSO+bjya122O+LrxaFKnCbzkXqKjETk9liQRzDNnz+SdQXpeOk7lncLpa6dxKu8UMvIyUGosFR2vUlRyFaL8ohDjF4NY/9i/b36xnGhDZCOWJNFtGIwGZBZmIqsgC1mF5lt2YTZyinKQo8tBTlEOcotzYTQZHZpDISlQR10HIZoQBKmDEKQJQrAmGEHqIIRoQhDpF4lw33Bep0hkZyxJomoymUwo1BeiQF+AgtICFOgLUKgvxHX9dRSWFkJXpoPRZITJZMKN/2687sbv1Qo1NAoNfJQ+0Cj/+lWhsfw+QBXAAiQSgCVJRERkBX80JSIisoIlSUREZAVLkoiIyAqWJBERkRUsSSIiIitYkkRERFawJIn+kpGRAUmSkJqaKjoKETkJliQ5teHDh0OSpFtuffr0qfb7DhgwwD4hichtcYM4cnp9+vTBkiVLyt2nUqlsei+DwQBJkuwRi4g8AI8kyempVCqEhoaWu9WuXRsAMH/+fMTHx8PHxweRkZEYM2YMCgoKLK9NTk5GQEAA1qxZg2bNmkGlUmHEiBFYunQpVq9ebTky3bZtm+U16enp6NGjBzQaDRISErBnz56a/pSJyEnwSJJcmkwmwwcffIDY2Fikp6djzJgxmDRpEpKSkizP0el0mDNnDj7//HMEBgYiLCwMRUVFyM/Ptxyh1qlTB5mZmQCAqVOn4t1330XDhg0xdepUPP744zh58iQUCv5zIfI0/FdPTu+HH36Ar69vufumTJmCKVOmYPz48Zb7YmJiMHPmTIwaNapcSer1eiQlJSEhIcFyn1qtRklJCUJDQ2/5eC+99BL69u0LAHjjjTfQvHlznDx5Ek2aNLHzZ0ZEzo4lSU6vR48e+OSTT8rdV6dOHQDA5s2bMXv2bBw7dgz5+fkoKytDcXExdDodNBrzHopeXl7QarWV/ng3PzcsLAwAcOnSJZYkkQfiOUlyej4+PoiLiyt3q1OnDjIyMtCvXz9otVr85z//wf79+/Hxxx8DAEpL/94oWa1WV2myjlKptPz+xuuMRsfuF0lEzolHkuSy9u/fD6PRiHnz5kEmM/+8991331XqtV5eXjAYDI6MR0RugCVJTq+kpATZ2dnl7lMoFIiLi4Ner8eHH36I/v37IyUlBQsXLqzUe8bExGDDhg04fvw4AgMD4e/v74joROTiONxKTu+nn35CWFhYuVvnzp2RkJCA+fPnY86cOWjRogWWLVuG2bNnV+o9n3nmGTRu3Bht2rRBUFAQUlJSHPxZEJErkkwmk0l0CCIiImfEI0kiIiIrWJJERERWsCSJiIisYEkSERFZwZIkIiKygiVJRERkBUuSiIjICpYkERGRFSxJIiIiK1iSREREVrAkiYiIrGBJEhERWcGSJCIisoIlSUREZAVLkoiIyAqWJBERkRUsSSIiIitYkkRERFawJImIiKxgSRIREVnBkiQiIrKCJUlERGQFS5KIiMgKliQREZEVLEkiIiIrWJJERERWsCSJiIisYEkSERFZwZIkIiKy4v8BfzQYnOModHkAAAAASUVORK5CYII=\n"
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 833
},
"id": "ep11mXFZ5IuM",
"outputId": "37a18630-5290-4955-bb18-bff9dc077784"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
" Rating Reviews Book_title \\\n",
"0 4.17 3829 The Elements of Style \n",
"1 4.01 1406 The Information: A History, a Theory, a Flood \n",
"2 3.33 0 Responsive Web Design Overview For Beginners \n",
"3 3.97 1658 Ghost in the Wires: My Adventures as the World... \n",
"4 4.06 1325 How Google Works \n",
"\n",
" Description Number_Of_Pages \\\n",
"0 This style manual offers practical advice on i... 105 \n",
"1 James Gleick, the author of the best sellers C... 527 \n",
"2 In Responsive Web Design Overview For Beginner... 50 \n",
"3 If they were a hall of fame or shame for compu... 393 \n",
"4 Both Eric Schmidt and Jonathan Rosenberg came ... 305 \n",
"\n",
" Book Format Price \n",
"0 Hardcover 9.323529 \n",
"1 Hardcover 11.000000 \n",
"2 Kindle Edition 11.267647 \n",
"3 Hardcover 12.873529 \n",
"4 Kindle Edition 13.164706 \n",
"['Hardcover' 'Kindle Edition' 'Paperback' 'ebook' 'Unknown Binding'\n",
" 'Boxed Set - Hardcover']\n"
]
},
{
"output_type": "execute_result",
"data": {
"text/plain": [
"<Axes: ylabel='Book Format'>"
]
},
"metadata": {},
"execution_count": 114
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 500x500 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
],
"source": [
"\n",
"#print(df.info())\n",
"\n",
"df.rename(columns={'Type': 'Book Format'}, inplace=True)\n",
"print(df.head())\n",
"print(df['Book Format'].unique())\n",
"\n",
"#sns.countplot(data=df, x='Type')\n",
"\n",
"df['Book Format'].value_counts().plot.pie(figsize=(5, 5))\n",
"\n",
"#df.plot.pie(y='Book Format')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "axRBUIrM5IuN",
"outputId": "b42de787-da7f-466d-80f8-35fdfb4d49e4"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"(201, 26)"
]
},
"metadata": {},
"execution_count": 8
}
],
"source": [
"df.shape"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "8ji2SmBj75hK"
},
"source": [
"- The data has 201 rows and 26 columns."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "ex4GmTCS5IuN",
"outputId": "ccdd7411-8243-4e5a-c902-81e64929144d"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"RangeIndex: 201 entries, 0 to 200\n",
"Data columns (total 26 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 symboling 201 non-null int64 \n",
" 1 normalized_losses 201 non-null int64 \n",
" 2 make 201 non-null object \n",
" 3 fuel_type 201 non-null object \n",
" 4 aspiration 201 non-null object \n",
" 5 number_of_doors 201 non-null object \n",
" 6 body_style 201 non-null object \n",
" 7 drive_wheels 201 non-null object \n",
" 8 engine_location 201 non-null object \n",
" 9 wheel_base 201 non-null float64\n",
" 10 length 201 non-null float64\n",
" 11 width 201 non-null float64\n",
" 12 height 201 non-null float64\n",
" 13 curb_weight 201 non-null int64 \n",
" 14 engine_type 201 non-null object \n",
" 15 number_of_cylinders 201 non-null object \n",
" 16 engine_size 201 non-null int64 \n",
" 17 fuel_system 201 non-null object \n",
" 18 bore 201 non-null float64\n",
" 19 stroke 201 non-null float64\n",
" 20 compression_ratio 201 non-null float64\n",
" 21 horsepower 201 non-null int64 \n",
" 22 peak_rpm 201 non-null int64 \n",
" 23 city_mpg 201 non-null int64 \n",
" 24 highway_mpg 201 non-null int64 \n",
" 25 price 201 non-null int64 \n",
"dtypes: float64(7), int64(9), object(10)\n",
"memory usage: 41.0+ KB\n"
]
}
],
"source": [
"df.info()"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "3hLDWznE75hL"
},
"source": [
"- There are attributes of different types (*int*, *float*, *object*) in the data."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 865
},
"id": "-myaWt-Y5IuN",
"outputId": "aed8795e-3f56-4fad-f298-1bc4dcfa70ef"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" count unique top freq mean std \\\n",
"symboling 201.0 NaN NaN NaN 0.840796 1.254802 \n",
"normalized_losses 201.0 NaN NaN NaN 125.189055 33.572966 \n",
"make 201 22 toyota 32 NaN NaN \n",
"fuel_type 201 2 gas 181 NaN NaN \n",
"aspiration 201 2 std 165 NaN NaN \n",
"number_of_doors 201 2 four 114 NaN NaN \n",
"body_style 201 5 sedan 94 NaN NaN \n",
"drive_wheels 201 3 fwd 118 NaN NaN \n",
"engine_location 201 2 front 198 NaN NaN \n",
"wheel_base 201.0 NaN NaN NaN 98.797015 6.066366 \n",
"length 201.0 NaN NaN NaN 174.200995 12.322175 \n",
"width 201.0 NaN NaN NaN 65.889055 2.101471 \n",
"height 201.0 NaN NaN NaN 53.766667 2.447822 \n",
"curb_weight 201.0 NaN NaN NaN 2555.666667 517.296727 \n",
"engine_type 201 6 ohc 145 NaN NaN \n",
"number_of_cylinders 201 7 four 157 NaN NaN \n",
"engine_size 201.0 NaN NaN NaN 126.875622 41.546834 \n",
"fuel_system 201 8 mpfi 92 NaN NaN \n",
"bore 201.0 NaN NaN NaN 3.329701 0.268166 \n",
"stroke 201.0 NaN NaN NaN 3.261741 0.317875 \n",
"compression_ratio 201.0 NaN NaN NaN 10.164279 4.004965 \n",
"horsepower 201.0 NaN NaN NaN 103.263682 37.389372 \n",
"peak_rpm 201.0 NaN NaN NaN 5121.393035 479.624905 \n",
"city_mpg 201.0 NaN NaN NaN 25.179104 6.42322 \n",
"highway_mpg 201.0 NaN NaN NaN 30.686567 6.81515 \n",
"price 201.0 NaN NaN NaN 13207.129353 7947.066342 \n",
"\n",
" min 25% 50% 75% max \n",
"symboling -2.0 0.0 1.0 2.0 3.0 \n",
"normalized_losses 65.0 101.0 122.0 150.0 256.0 \n",
"make NaN NaN NaN NaN NaN \n",
"fuel_type NaN NaN NaN NaN NaN \n",
"aspiration NaN NaN NaN NaN NaN \n",
"number_of_doors NaN NaN NaN NaN NaN \n",
"body_style NaN NaN NaN NaN NaN \n",
"drive_wheels NaN NaN NaN NaN NaN \n",
"engine_location NaN NaN NaN NaN NaN \n",
"wheel_base 86.6 94.5 97.0 102.4 120.9 \n",
"length 141.1 166.8 173.2 183.5 208.1 \n",
"width 60.3 64.1 65.5 66.6 72.0 \n",
"height 47.8 52.0 54.1 55.5 59.8 \n",
"curb_weight 1488.0 2169.0 2414.0 2926.0 4066.0 \n",
"engine_type NaN NaN NaN NaN NaN \n",
"number_of_cylinders NaN NaN NaN NaN NaN \n",
"engine_size 61.0 98.0 120.0 141.0 326.0 \n",
"fuel_system NaN NaN NaN NaN NaN \n",
"bore 2.54 3.15 3.31 3.58 3.94 \n",
"stroke 2.07 3.11 3.29 3.46 4.17 \n",
"compression_ratio 7.0 8.6 9.0 9.4 23.0 \n",
"horsepower 48.0 70.0 95.0 116.0 262.0 \n",
"peak_rpm 4150.0 4800.0 5200.0 5500.0 6600.0 \n",
"city_mpg 13.0 19.0 24.0 30.0 49.0 \n",
"highway_mpg 16.0 25.0 30.0 34.0 54.0 \n",
"price 5118.0 7775.0 10295.0 16500.0 45400.0 "
],
"text/html": [
"\n",
"\n",
" <div id=\"df-ee7e5730-4dce-4b20-bd9d-ffeecee8def6\">\n",
" <div class=\"colab-df-container\">\n",
" <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>count</th>\n",
" <th>unique</th>\n",
" <th>top</th>\n",
" <th>freq</th>\n",
" <th>mean</th>\n",
" <th>std</th>\n",
" <th>min</th>\n",
" <th>25%</th>\n",
" <th>50%</th>\n",
" <th>75%</th>\n",
" <th>max</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>symboling</th>\n",
" <td>201.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>0.840796</td>\n",
" <td>1.254802</td>\n",
" <td>-2.0</td>\n",
" <td>0.0</td>\n",
" <td>1.0</td>\n",
" <td>2.0</td>\n",
" <td>3.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>normalized_losses</th>\n",
" <td>201.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>125.189055</td>\n",
" <td>33.572966</td>\n",
" <td>65.0</td>\n",
" <td>101.0</td>\n",
" <td>122.0</td>\n",
" <td>150.0</td>\n",
" <td>256.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>make</th>\n",
" <td>201</td>\n",
" <td>22</td>\n",
" <td>toyota</td>\n",
" <td>32</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>fuel_type</th>\n",
" <td>201</td>\n",
" <td>2</td>\n",
" <td>gas</td>\n",
" <td>181</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>aspiration</th>\n",
" <td>201</td>\n",
" <td>2</td>\n",
" <td>std</td>\n",
" <td>165</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>number_of_doors</th>\n",
" <td>201</td>\n",
" <td>2</td>\n",
" <td>four</td>\n",
" <td>114</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>body_style</th>\n",
" <td>201</td>\n",
" <td>5</td>\n",
" <td>sedan</td>\n",
" <td>94</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>drive_wheels</th>\n",
" <td>201</td>\n",
" <td>3</td>\n",
" <td>fwd</td>\n",
" <td>118</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>engine_location</th>\n",
" <td>201</td>\n",
" <td>2</td>\n",
" <td>front</td>\n",
" <td>198</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>wheel_base</th>\n",
" <td>201.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>98.797015</td>\n",
" <td>6.066366</td>\n",
" <td>86.6</td>\n",
" <td>94.5</td>\n",
" <td>97.0</td>\n",
" <td>102.4</td>\n",
" <td>120.9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>length</th>\n",
" <td>201.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>174.200995</td>\n",
" <td>12.322175</td>\n",
" <td>141.1</td>\n",
" <td>166.8</td>\n",
" <td>173.2</td>\n",
" <td>183.5</td>\n",
" <td>208.1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>width</th>\n",
" <td>201.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>65.889055</td>\n",
" <td>2.101471</td>\n",
" <td>60.3</td>\n",
" <td>64.1</td>\n",
" <td>65.5</td>\n",
" <td>66.6</td>\n",
" <td>72.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>height</th>\n",
" <td>201.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>53.766667</td>\n",
" <td>2.447822</td>\n",
" <td>47.8</td>\n",
" <td>52.0</td>\n",
" <td>54.1</td>\n",
" <td>55.5</td>\n",
" <td>59.8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>curb_weight</th>\n",
" <td>201.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>2555.666667</td>\n",
" <td>517.296727</td>\n",
" <td>1488.0</td>\n",
" <td>2169.0</td>\n",
" <td>2414.0</td>\n",
" <td>2926.0</td>\n",
" <td>4066.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>engine_type</th>\n",
" <td>201</td>\n",
" <td>6</td>\n",
" <td>ohc</td>\n",
" <td>145</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>number_of_cylinders</th>\n",
" <td>201</td>\n",
" <td>7</td>\n",
" <td>four</td>\n",
" <td>157</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>engine_size</th>\n",
" <td>201.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>126.875622</td>\n",
" <td>41.546834</td>\n",
" <td>61.0</td>\n",
" <td>98.0</td>\n",
" <td>120.0</td>\n",
" <td>141.0</td>\n",
" <td>326.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>fuel_system</th>\n",
" <td>201</td>\n",
" <td>8</td>\n",
" <td>mpfi</td>\n",
" <td>92</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>bore</th>\n",
" <td>201.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>3.329701</td>\n",
" <td>0.268166</td>\n",
" <td>2.54</td>\n",
" <td>3.15</td>\n",
" <td>3.31</td>\n",
" <td>3.58</td>\n",
" <td>3.94</td>\n",
" </tr>\n",
" <tr>\n",
" <th>stroke</th>\n",
" <td>201.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>3.261741</td>\n",
" <td>0.317875</td>\n",
" <td>2.07</td>\n",
" <td>3.11</td>\n",
" <td>3.29</td>\n",
" <td>3.46</td>\n",
" <td>4.17</td>\n",
" </tr>\n",
" <tr>\n",
" <th>compression_ratio</th>\n",
" <td>201.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>10.164279</td>\n",
" <td>4.004965</td>\n",
" <td>7.0</td>\n",
" <td>8.6</td>\n",
" <td>9.0</td>\n",
" <td>9.4</td>\n",
" <td>23.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>horsepower</th>\n",
" <td>201.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>103.263682</td>\n",
" <td>37.389372</td>\n",
" <td>48.0</td>\n",
" <td>70.0</td>\n",
" <td>95.0</td>\n",
" <td>116.0</td>\n",
" <td>262.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>peak_rpm</th>\n",
" <td>201.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>5121.393035</td>\n",
" <td>479.624905</td>\n",
" <td>4150.0</td>\n",
" <td>4800.0</td>\n",
" <td>5200.0</td>\n",
" <td>5500.0</td>\n",
" <td>6600.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>city_mpg</th>\n",
" <td>201.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>25.179104</td>\n",
" <td>6.42322</td>\n",
" <td>13.0</td>\n",
" <td>19.0</td>\n",
" <td>24.0</td>\n",
" <td>30.0</td>\n",
" <td>49.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>highway_mpg</th>\n",
" <td>201.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>30.686567</td>\n",
" <td>6.81515</td>\n",
" <td>16.0</td>\n",
" <td>25.0</td>\n",
" <td>30.0</td>\n",
" <td>34.0</td>\n",
" <td>54.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>price</th>\n",
" <td>201.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>13207.129353</td>\n",
" <td>7947.066342</td>\n",
" <td>5118.0</td>\n",
" <td>7775.0</td>\n",
" <td>10295.0</td>\n",
" <td>16500.0</td>\n",
" <td>45400.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
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]
},
"metadata": {},
"execution_count": 10
}
],
"source": [
"df.describe(include='all').T"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "6y3Rvun175hM"
},
"source": [
"- The car price ranges from 5118 to 45400 units.\n",
"- The car weight ranges from 1488 to 4066 units.\n",
"- The most common car make in the data is of Toyota."
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "_ZMHhyuU5IuO"
},
"source": [
"## Histogram\n",
"\n",
"- A **histogram** is a univariate plot which helps us understand the distribution of a continuous numerical variable.\n",
"- It breaks the range of the continuous variables into a intervals of equal length and then counts the number of observations in each interval.\n",
"- We will use the *histplot()* function of seaborn to create histograms."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 483
},
"id": "-Jwklh5X5IuP",
"outputId": "19b5f915-9341-4418-8e5f-7f7cd3345298"
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"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"<Axes: xlabel='price', ylabel='Density'>"
]
},
"metadata": {},
"execution_count": 28
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
],
"source": [
"sns.kdeplot(data=df, x='price')"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "Gka2S_UAwixj"
},
"source": [
"**Let's see how we can customize a histogram.**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "JLJs-6TUwfQs",
"outputId": "0638c2da-4d7e-44de-fa51-20035a1f19ed",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 818
}
},
"outputs": [
{
"output_type": "error",
"ename": "ValueError",
"evalue": "ignored",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-27-08a45170ba16>\u001b[0m in \u001b[0;36m<cell line: 6>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mxlabel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Price of cars'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mylabel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Frequency'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m \u001b[0msns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhistplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'price'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mcolor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'orange'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m;\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;32m/usr/local/lib/python3.10/dist-packages/seaborn/distributions.py\u001b[0m in \u001b[0;36mhistplot\u001b[0;34m(data, x, y, hue, weights, stat, bins, binwidth, binrange, discrete, cumulative, common_bins, common_norm, multiple, element, fill, shrink, kde, kde_kws, line_kws, thresh, pthresh, pmax, cbar, cbar_ax, cbar_kws, palette, hue_order, hue_norm, color, log_scale, legend, ax, **kwargs)\u001b[0m\n\u001b[1;32m 1393\u001b[0m ):\n\u001b[1;32m 1394\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1395\u001b[0;31m p = _DistributionPlotter(\n\u001b[0m\u001b[1;32m 1396\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1397\u001b[0m \u001b[0mvariables\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0m_DistributionPlotter\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_semantics\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlocals\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/usr/local/lib/python3.10/dist-packages/seaborn/distributions.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, data, variables)\u001b[0m\n\u001b[1;32m 111\u001b[0m ):\n\u001b[1;32m 112\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 113\u001b[0;31m \u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvariables\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mvariables\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 114\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 115\u001b[0m \u001b[0;34m@\u001b[0m\u001b[0mproperty\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/usr/local/lib/python3.10/dist-packages/seaborn/_oldcore.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, data, variables)\u001b[0m\n\u001b[1;32m 638\u001b[0m \u001b[0;31m# information for numeric axes would be information about log scales.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 639\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_var_ordered\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m\"x\"\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"y\"\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m}\u001b[0m \u001b[0;31m# alt., used DefaultDict\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 640\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0massign_variables\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvariables\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 641\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 642\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mvar\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcls\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_semantic_mappings\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/usr/local/lib/python3.10/dist-packages/seaborn/_oldcore.py\u001b[0m in \u001b[0;36massign_variables\u001b[0;34m(self, data, variables)\u001b[0m\n\u001b[1;32m 699\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 700\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minput_format\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"long\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 701\u001b[0;31m plot_data, variables = self._assign_variables_longform(\n\u001b[0m\u001b[1;32m 702\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mvariables\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 703\u001b[0m )\n",
"\u001b[0;32m/usr/local/lib/python3.10/dist-packages/seaborn/_oldcore.py\u001b[0m in \u001b[0;36m_assign_variables_longform\u001b[0;34m(self, data, **kwargs)\u001b[0m\n\u001b[1;32m 936\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 937\u001b[0m \u001b[0merr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34mf\"Could not interpret value `{val}` for parameter `{key}`\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 938\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0merr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 939\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 940\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mValueError\u001b[0m: Could not interpret value `price` for parameter `x`"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
],
"source": [
"plt.title('Histogram:Price')\n",
"plt.xlim(3000,50000)\n",
"plt.ylim(0,70)\n",
"plt.xlabel('Price of cars')\n",
"plt.ylabel('Frequency')\n",
"sns.histplot(data=df, x='price',color='orange');"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "bBA_Tspd5IuP"
},
"source": [
"**We can specify the number of intervals (or groups or bins) to create by setting the *bins* parameter.**\n",
"\n",
"- If not specified it is passed to [numpy.histogram_bin_edges()](https://numpy.org/doc/stable/reference/generated/numpy.histogram_bin_edges.html#numpy.histogram_bin_edges)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "S7FUZDs65IuQ"
},
"outputs": [],
"source": [
"sns.histplot(data=df, x='price', bins=5)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "RxGGf9Kg5IuQ"
},
"outputs": [],
"source": [
"sns.histplot(data=df, x='price', bins=20)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "TwjJdJKSeYng"
},
"source": [
"**If we want to specify the width of the intervals (or groups or bins), we can use *binwidth* parameter.**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "iKR0iV6ZeYng"
},
"outputs": [],
"source": [
"sns.histplot(data=df, x='price', binwidth=20)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "WfzCaoTheYnh"
},
"outputs": [],
"source": [
"sns.histplot(data=df, x='price', binwidth=200)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "ykUoSGy7eYnh"
},
"source": [
"**How to find the optimal number of bins: Rule of thumb**\n",
"\n",
"- We calculate the bin-width first, using the following formula: $$ binwidth =\\frac{(2 * IQR)}{\\sqrt[3]{n}} $$ where n = number of rows the dataset\n",
"\n",
"- Then, we obtain bins using the calculated bin-width. $$ bins =\\frac{Range}{binwidth} $$"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "ho0PxE275IuR"
},
"source": [
"**In addition to the bars, we can also add a density estimate by setting the *kde* parameter to *True*.**\n",
"\n",
"- **Kernel Density Estimation**, or **KDE**, visualizes the distribution of data over a continuous interval.\n",
"- The conventional scale for KDE is: **Total frequency of each bin × Probability**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 450
},
"id": "mjny7GLv5IuR",
"outputId": "0871fdca-2e55-4a16-f4b0-4bed88bfc593"
},
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
],
"source": [
"sns.histplot(data=df, x='price', kde=True);"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "hr_E-_lv5IuS"
},
"outputs": [],
"source": [
"sns.histplot(data=df, x='price', bins=700, kde=True);"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "K8odvDwSeYni"
},
"source": [
"Clearly, if we increase the number of bins, it reduces the frequency count in each group (bin). Since the scale of KDE depends on the total frequency of each bin (group), the above code gives us a flattened KDE plot."
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "YrNe76c55IuS"
},
"source": [
"**Let's check out the histograms for a few more attributes in the data.**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "lvkFthd_5IuS"
},
"outputs": [],
"source": [
"sns.histplot(data=df, x='curb_weight', kde=True);"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "hU64jtH-eYnj"
},
"source": [
"- A histogram is said to be **symmetric** if the left-hand and right-hand sides resemble mirror images of each other when the histogram is cut down the middle."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "EPGmJKGO5IuS"
},
"outputs": [],
"source": [
"sns.histplot(data=df, x='horsepower', kde=True);"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "T2Nu0xFSeYnj"
},
"source": [
"- The tallest clusters of bars, i.e., peaks, in a histogram represent the **modes** of the data.\n",
"- A histogram **skewed to the right** has a large number of occurrences on the left side of the plot and a few on the right side of the plot.\n",
"- Similarly, a histogram **skewed to the left** has a large number of occurrences on the right side of the plot and few on the left side of the plot."
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "CVpitoKleYnk"
},
"source": [
"**Histograms are intuitive but it is hardly a good choice when we want to compare the distributions of several groups. For example,**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "U8G-kAWGeYnk"
},
"outputs": [],
"source": [
"sns.histplot(data=df, x='price', hue='body_style', kde=True);"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "KcZRBLmN--tA"
},
"source": [
"It might be better to use subplots!"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "z1Z1dl-6BVMA"
},
"outputs": [],
"source": [
"g = sns.FacetGrid(df, col=\"body_style\")\n",
"g.map(sns.histplot, \"price\");"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "fzYXN1-a75hP"
},
"source": [
"In such cases, we can use **boxplots**. Boxplots, or box-and-whiskers plots, are an excellent way to visualize differences among groups."
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "vEInLWSo5IuU"
},
"source": [
"## Boxplot\n",
"\n",
"- A **boxplot**, or a **box-and-whisker plot**, shows the distribution of numerical data and skewness through displaying the data quartiles\n",
"- It is also called a **five-number summary plot**, where the five-number summary includes the minimum value, first quartile, median, third quartile, and the maximum value.\n",
"- The *boxplot()* function of seaborn can be used to create a boxplot."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 35
},
"id": "YU3g9wFTeYnu",
"outputId": "9c4eea87-6b2f-4090-96f1-da7e1d8092de"
},
"outputs": [
{
"data": {
"image/png": 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vKeQnNCAB5xoQZR/6x/nSSy/Z5/5/yHquCyPrJuWTJk2yz1955RU77d5777XPdcFl3X9Yw7ppeXjGEKkBKVq0aGhZ0bB73apVq9rn33zzjfnjjz9sw6Tna9assfNPmDDBPv/qq6/MqFGj7FXjkf/QgASca0D8oRqI+0UvU6aMHad/uKKGQbd60Dj9o3WNhm5ursf/+7//i5gNuAZkwYIF9vndd99tnw8ePDhdNuMaEA336dMnNM0t36VLl1DjpOcquoY3Vsg/aEACzjUg//77r60n6B+wnp9++un2H6buUaPGwdUpRA2H+8crqpfouVtPJK4BcFG6dGmbRWzfvt2bY18DotfS8F9//eVNSaNxpUqVStfgcNQmf6MBCbhINZDWrVvbcdpVKF68uClbtmzoH63oH72mr1ixwj53uz2K5cuX23HhXAPy+++/2wxFmUt45qDpakDcvPPmzfOmpNE43dCKBiR10IAEXHgDon/UJUqUMAULFrSZRqVKlex01UgcZQEa569d/PTTT6Zw4cJ2OLNdGH8NJJym+xuQ8Btqadx3330XGqfnNCD5Gw1IwEWqgSgmTpxo/6GqMXDjFi5caDMADeuWlaLh8uXL2wZGjZCe9+7de7/sIpoGRJ577jn7XEdqdERIw2qgXNYjbrpqMpEaLeR9NCABp/4fw4cPN0OHDrWhX/j58+enq3moz8Ydd9xh/8HqPrhTpkyxuyBqFL7//vtQYVSNhnY7vv3223TLi6aNGTPGNkKRaF06mqLXcs+1u3PUUUfZ11XxdMmSJaGGSY96H5p2/fXXp+uQhvyDBiQP0D9Gf0Si8WoUFP55Is2f2Toymibh0/RcDYleU4/hNN29J+RPNCAAcowGBECO0YAAyDEaEAA5RgMCIMdoQADkGA0IgByjAQGQYzQgAHKMBgRAjtGAAMgxGhAAOUYDkmCvfLnevPjFmsDGy19uiDg+SNFqcNp1TRA8NCAJRgMSe9CABBcNSILRgMQeNCDBRQOSYDQgsQcNSHDRgCQYDUjsQQMSXDQgCUYDEnvQgAQXDUiC0YDEHjQgwUUDkmA0ILEHDUhw0YAkGA1I7EEDElw0IAlGAxJ70IAEFw1IgtGAxB40IMFFA5JgNCCxBw1IcNGAJBgNSOxBAxJcNCAJRgMSe+THBqR9+/amQYMG3rPIypUrZ3r27Ok9CyYakASjAYk98lsD8sQTT3hDe/8BFth3w/Jff/3V3gZU43SP4kqVKtn7D8vPP/9sPv74Yzvcp08f884775iZM2eazp0723G5JW4NyBFHHGGOPvpo71l6K1eutI9vvvmmOemkk+xwqqABiT3yWwOiBsI58MADzaRJk+xw165d7aObrgake/fudvjff/81S5cutf+W3PRixYrZx9wUlwbE/4VcfPHF5sknn7TDZ555pmndurWdvmnTJtuA6E7tUrFiRXsneWnbtq39sq666ipTpUoVOy6/oAGJPfJbA6J/B+5G5TfddJOZPHmyHa5Tp459zKgBcUqUKOENGfPQQw95Q7kjLg1IoUKFvKG0D//CCy/Y4dKlS9vH/v3720d9cTfccINtRd966y3Trl07O97tC/obovyCBiT2yI81kPwiLv9imzRpYh+XLFlipk+fbgtE4hoEl5q5BmTnzp3pWlR/MSm/NSI0ILEHDUhw5b+f/IChAYk9aECCiwYkwWhAYg8akOCiAUkwGpDYI681IFUf/Z+p1mK8adF2sH3+xFtf2eeV6n5in8uOnbtM9ZYTzRV1BnljjKn+xI+maosJ3rO8IRANyMKla7yhNPMWr/KG8j4akNgjrzUgVR4fZxuMCo1G2OcVG31tn2u8U+6+TnacQkZN/Cv0fN3GrXZcXpDrDYhaYH1pLdoOtM/PvfFt+/zsG9+zz/M6GpDYI681IOXrp2UcVRv0sc+rN/zcPi9ff4h9Lm/3GJs2j5dxzJm/Ku353kZm67YddlxekOsNSNW9X5q+uEse6GefV9v7hep5tZZpnWvyOhqQ2CMv1kAuuDn9D+AFt7zvDe1za4s+5q/5aZ0s5ZVOo8z7n030nuUNud6AlK03xDYYDV4ZYJ+fU7OdfX5WzbRDwXkdDUjsQRE1uAJRA+n/zXST1i8vTe8hU7yhvI8GJPagAQmuQDQg+RkNSOxBAxJcNCAJRgMSe9CABBcNSILRgMQeNCDBRQOSYDQgsQcNSHDRgCQYDUjsQQMSXDQgCUYDEnvQgAQXDUiC0YDEHjQgwUUDkmA0ILEHDUhw0YAkGA1I7EEDElw0IAlGAxJ70IAEFw1IgtGAxB40IMFFA5JgNCCxBw1IcNGAJBgNSOxBAxJcgW5AdPX2cLq/TF5CAxJ70IAEV2AakHPOOccb2vumChQwU6dO9Z7lbTQgsUeyG5D58+d7Q8asWbMmdBOoSMaPT7skYaoKTANy1llnhe64pT+gGhB31y2NnzdvXui+obr/zGuvvWaKFi1qtmzZErqXjLKTKVPSriXixqlhevbZZ+1wbqABiT2S3YDo3kVbt6Zdl7RWrVpm2bJlthHxh4SPc+GmhT/6I78IVAPy9ddfm2bNmtnn/gZkwIABdndm+/btoQZE2rRpYx/9Dci0adPs8KmnnmofdRe8BQsW2OHcQAMSeyS7AdHtJt02JWpAVqxYYYe//fZb88Ybb5hSpUrZ57od69NPP20bBbfMgw8+aEaOHGmH3e1bdYvKcePSLqpcvXp1+5gfBKYBKVmypH3UPXNFdyN/4IEH7PDgwYPTNSDuZt0vvviifXR/OD1+8MEHdvjEE0+0j/rD66bEuYUGJPbIjQakY8eOpmDBgva5GhA3PGLECDvtyCOPtM9dAyKFCxe2j7Vr17bzyX//+1/7qPvfrlqVdrcBdyfH/CAwDUh+RQMSeyS7ARk2bJh9dD9U27Zts43IJ598Ynelv//+eztemfAXX3wRuru+7vcs+sGTVq1amaFDh9rh5cuX291tGTt2rH3MD2hAEowGJPZIdgOC7KMBAZBjNCAAcowGBECO0YAAyDEaEAA5RgMCIMdoQADkGA0IgByjAYmzk046KXQ+j6irc25yXbBl9erVoV6T4X755Rf7ePvtt9tHIDtoQOLIfwKWukPrJMDrrrvOG5M7dM7Gc889Z4f1/vr372+HS5cuHTrj9MorrzS///67HX7zzTft42mnnWYfhwwZYlq3bm0mTpxonydT27Zt7aM7Cc09L168uH1E7qMBiaM777zTGzKmSpUq9rFGjRr2Mbccdthh9sxk11ioAbngggvMqFGjTLFixcwff/xhx7vMpEGDBvZR02+55RbTvn17+7xcuXL2MZn8DbJ/uHPnzt4QchsNSBy5jdy/m6BrS+QmNSA6i1m7VqIGpEKFCnZYJ3fp5DC5++677aMaEPc5br311lADUrlyZfuYTP5Go0yZMt5Q+vHIXfwlEuT000/3hpBTOv1duytqMNywrq/RsGFDbw7kNhoQADlGAwIgx2hAAOQYDQiAHKMBAZBjNCAAcowGBECO0YAAyDEaEAA5RgMCIMdoQADkGA0IgByjAQGQYzQgAHKMBgQAAOQKkhAAAJArSEIAAECuIAkBAAC5giQEAADkCpIQAACQK0hCAABAriAJAQAAuYIkBEDcNWjQwNx+++1mypQpZseOHd5YAEiPJASI0WeffWYKFCgQMQ477DBTsWJF06tXLzvv7t277WOQ7dmzxzRv3jzi51GcfPLJ5t577zWTJk2yCUakz+Tmve+++8zixYvj/rn1Hl0AyLtIQoAY6Efw8ccfD/3ojhw50kybNs389ttvZvz48ebNN980xYoVC02vV6+e2bhxY6B/PJUwnHnmmaH3rM+hzzR9+nQzbNgw07hx49A0Rffu3c3mzZvTfSY3LVFJiFt/y5YtzYYNG0hGgDyKJASIQXgSosMP27Zt86amTZdKlSrZ6YULFzazZs0y27dvj/jDqXH6QV+yZImZO3euDf2I64d2165ddnqk5UQ/9BlNczJb3glPQtz7dTRdz0uVKhWaZ8yYMWbr1q2hdbvxWSUhW7ZsMcuWLTN///23/ayLFi0y69evt581fBn/+3brf+yxx8zKlSu9sdn7DgAEB0kIEAP94GWWhDgFCxa000uUKGFmzpxpD2P4fyz1vEiRIqH1ZBSnn366WbVqVegH+ttvvw1Nu+SSS8yaNWtC07R+VWTc9FatWpmlS5dm+SOt5TNLQpwnnngiNM+QIUPSVXjc+IySkCOOOCI0T0aheZRgKCGRTp06RZzPH++//75NYrL6jACCgSQEiIF+7PxJyA033GDuvvtuc88995jbbrvNJh1u2lNPPWUPaahi4Ke+FW6eu+66yyYO69atsz/8O3futEmNKgRuHsXs2bND1QL9+B900EF2vH64ly9fbqfdcccdofkHDBhgx2fnxzk7ScjYsWND00uXLm3n8XdAddP8SYheW/O4aeor89NPP5nVq1eHPqselUgdd9xxdp4DDjjA/P7776G+J+67c+to1KiR/W70HWzatMl+V+61AAQfSQgQg/Ak5MknnzQvvfSSeeWVV8xrr71m6tevb0qWLBmafvDBB9tDLfrBdT+Uxx57rJ2mwxt//PFHxKqD5tVhC7eeNm3a2ERF4xX6kb7uuuvsj7biqKOOsvMdffTRZuLEiVH1m/AnIVqXe81I0bVrV3sYRa/vX7+bHp6E+L+Ln3/+Od0hHEfP58+fH5qvVq1aZsWKFRHX7w7HhK8DQN5AEgLEQD9+4YdjXBKhafrxVVVCP9LnnnuunUdVC3dIRtRPRONVBVGComXCaV3ayz/wwAPtvDoFNryyodf1/8grfvjhB1shiOZH2p+EKFSpUTVC1Q4lSa7vhr+fSji3rEtC3Pt348855xzzzz//hA61hNMhFTevkrMFCxak+17cNJIQIG8jCQFioB+/7PQJEVVH3HzqyOmSA1cJOeSQQ8zChQttlSSc5tNZKm55VSDWrl1rxytmzJgRmvbQQw+Zpk2bhp5/+umn+529kpnwJCSjPiGZccv6KyGK8847LzRNlRCXiPnpfc6bNy8034svvmgTLpIQIP8hCQFioB8/fxKiU1n9P6za01cfh6pVq4YObagvxF9//RU6hOFPILTXr86j7nCN+3FV0uLmufPOO82cOXNCyUrr1q1D07p162arFFr3L7/8Ehp/zTXX2L4X/h/yjCQqCdFn8Vc4FPoewj+r/32fdNJJto+MXt9Nl0MPPdROv/LKK+335T6Xfz0Ago8kBIiBfvBatGgR+tHMKHQYRWeT6NCG+jf4kwGtQ1URJSeRlnWhC59988035t9//w0lIBdccIGdpkM6P/74Y7pEQ4/60VeFxa0jo8M9fpp+1llnhZb5888/c5yEPPDAA+le033WunXrhuaJFPqsAwcOtIdswqslWofOxom0nK7LwtkxQN5BEgLEQD92+oHV9S7URyJSuLM2Muo/4Wg9mk+JhA7LqNqhUCdNJS56Dc3j1qFH/UBr/QpXWfHTcyUsmq4zSMIrChnRMjqEk9F6M+N/X1pHpH4f+hx6L+pcq0qJ+pnojB8lHTr0omUz+740Xt+VDsVoGfc96RBVVt8zgOAgCQEAALmCJAQAAOQKkhAAAJArSEIAAECuIAkBAAC5giQEAADkCpIQAACQK0hCAABAriAJAQAAuYIkBAAA5AqSEAAAkCtIQgAAQK4gCUGednPjbqZ5139M0y5ziRxG867zzUGHFIs4jch+tOix0Hzw6RhvywSQHSQhyNNubdLdvPLlevPiF2uIHMbLX24wBQsXiTiNyH60GrzZtCcJAaJCEoI8jSQk9iAJiU+QhADRIwlBnkYSEnuQhMQnSEKA6JGEIE8jCYk9SELiEyQhQPRIQpCnkYTEHiQh8QmSECB6JCHI00hCYg+SkPgESQgQPZIQ5GkkIbEHSUh8giQEiB5JCPI0kpDYgyQkPkESAkSPJAR5GklI7EESEp8gCQGiRxKCPI0kJPYgCYlPkIQA0SMJibM9e/Z4Q0gGkpDYgyQkPkESEr1KlSp5Q0hVJCFxNmvWLG8IyUASEnuQhMQnSEKiV7lyZW8IqYokJM5IQpKLJCT2IAmJT5CERI8kBCQhcUYSklwkIbEHSUh8giQkeslMQrZu3WoOPfRQ8+ijj5ohQ4aYt956yxQoUMCMGjXKmyNzmtcZOXJk6FDStGnTzODBg+0wopdvk5CJEyeaP/74ww5v377dPiYDSUhykYTEHiQh8QmSkOglMwlRErFw4ULv2T4av2TJEjNp0iRTqlQpb6wxXbt2NV26dDG7d+82Y8aMsfPpce3atemSkG7duplrr73WDn///ffmxBNPNKNHjzYtW7Y0ZcuWteMXLFhgSpYsaUqXLm2eeOIJs2LFCru+CRMmmE6dOtl5UlWgkpCPP/7YHH/88d4zY5YvX26KFCli/+BZuemmm8zAgQO9Z8bcc8895s0330x6R1GSkOQiCYk9SELiEyQh0Ut2EjJ+/Hjv2T4aryqJkpALL7zQG5uWXCgJcTSf409CunfvbmrUqGG2bdtm5zn33HPNOeecY0PD69evt8lPiRIl7PyOEpZjjz3WlClTxuzcudMbm3oCk4SsXLnSFCxY0Hu2z99//x3647/wwgumfv36dliUVTo333yz+fLLL71n+5IQueGGG0IJitY1b948Ozxo0CBTvXp1O9ymTRs7bfHixfb5yy+/bN577z07HA2SkOQiCYk9SELiEyQh0UtmErJr1y5z1lln2Xa+fPny9lGHZzTeOe6442wlo3jx4jY58CchRYsWNVdccYWtso8YMcJUrFjRjleyct1119nhuXPnmgMOOMD+VtWpUyf026Uk5JhjjrHDot8q7TirKnLggQfaRCVVBSYJUSbq/mB+H374oalataod1h9Wx/Oc//73v95QWiWkf//+3rPISYhKYEp0Nm3aZDZs2GDD/fGVhDRo0MAOiyoomu+NN96wG192kYQkF0lI7EESEp8gCYkeHVMRmCTEad++vc1OlZCcd955ZubMmd6UNLfccoudpmTkggsu8MYamzAoo1TCoD4gd999t2nbtq2dpuN1w4YNs8NKRC655BJTqFAhe/zv999/t+M1b926de2wvPjii/Z1ChcubDp06OCNzRpJSHKRhMQeJCHxCZKQ6JGEIHBJSF5HEpJcJCGxB0lIfIIkJHokISAJiTOSkOQiCYk9SELiEyQh0YsmCVmzbrO586kvzPm3dzOvdvzOG5veSx2+Mxfe0c3Ot2rtJm/s/ibPWGSufexzU/bBT03/b9Oq4X7btu8yDz4/wJxb+2PT8u3h3lgkAklInJGEJBdJSOxBEhKfIAmJXnaTkOFj/jQVGw031VqM92KCqdLwC29qmmse62/Hu3muavi1+Xps2mUa/J55d4Sp+rhbz3hTveVEc//z+05qmDF7qanQYHBouuLquv3N5q07vDkQTyQhe73VY5y5ss4AU7HxKHNtw8+8sfusWbfFlH/4f6bK42Nt5jx7/kpvyv5mz55tDjnkECJJcfrVTUhCYgySkPiEkpBjz6kWcTslIsdtt93mtZyZ+7DXeFOl2Zh0iUGFRmn9/JwKDf1Jyt75m48x7/Yc603dp8ojH+9NQsb55p1gLrm7hzfVmO9/nGMqN/nBN328qdTkW7Nu41ZvDsRTyichT7873FRu6tvgWu7NsB/dl2GvXrfZXP3o0HQb5FUNhpvpf/3rzZEelZDkohISe5CExCeohEQvmsMxdz3V11RvOcm2wRWbfGc++GycNyXNh70n7E0WvrPTqz8xydzWso83JT1dfOzqOp/unS+tanLZg33N73OWelPT1H9lYOi1lLC88OE3e8dyc9JESPkkpHHrQaayP8Pem4RcVbevN9WYlWs2masbfr1v+t6o0GiEmTor7Xoi4UhCkoskJPYgCYlPkIREj46p4HDMXk+9O8KUqzfEVGr2gyn74P/Mxk3py27TZy+12XLVvQnI5Q/1M6N+nOtN2R9JSHKRhMQeJCHxCZKQ6JGEgCQkzkhCkoskJPYgCYlPkIREjyQEJCFxRhKSXCQhsQdJSHyCJCR6JCEgCYkzkpDkIgmJPUhC4hMkIdEjCQFJSJyRhCQXSUjsQRISnyAJiR5JCEhC4owkJLlIQmIPkpD4BElI9EhCQBISZyQhyUUSEnuQhMQnSEKiRxICkpA4IwlJLpKQ2IMkJD5BEhI9khCQhMQZSUhykYTEHiQh8QmSkOiRhIAkJM5IQpKLJCT2IAmJT5CERO/xxx/3hpCqSEKQp5GExB4kIfEJkhAgeiQhyNNIQmIPkpD4BEkIED2SEORpJCGxB0lIfIIkBIgeSQjyNJKQ2IMkJD5BEgJEjyQEeRpJSOxBEhKfIAkBokcSEuaff/4xBQoUMLfddps3Zp+vvvrKTvvll1/sc51e9uCDD9rhzGiZ5cuXe88QTyQhsQdJSHyCJASIHklImGnTpplzzz3XPP/886ZVq1beWGOWLl1qTjvtNHPqqaeaqVOn2nH16tUzb7zxhh2++eabzZQpU8wFF1xgk47ff//d7Nmzx07T823btpnVq1ebSy65xHTr1s2Oa9asmdm8ebO5+uqr7XMlQI5bRn7++WdTtmxZOzx58mRz1113mTp16th5evbsaROc4447zpxyyilmzZo1dr5UQRISe5CExCfycxLyxRdfmIMOOsjccMMN3ph9XJunNjJaH3/8ccR1InWQhIRREnLWWWfZ4aOPPtrMnj3bbN261f4j2717tznppJNCSchDDz0USlRq1apl/6HKzp077fw7duywzzWsZGPJkiXmyCOPtOOkdevWplevXnZY82o+l3hoeNOmTXZYyU3FihXtsJIQJUKiJOeQQw4xK1eutM/nz59vjj32WDucKkhCYg+SkPhEfk5C+vfvb2666SZTtWrVUDsnV111lfnxxx/NYYcdZpYtW2bHVahQwZQrV848++yzpmDBgunatLVr15qFCxeaQw891I7r16+f3QmTZ555xu6YFS1a1M5bpUoV295eccUV9vmECRPsfCNHjjSlS5e2w3LttdeadevW2WHtKF588cXmnHPOscvcfffd9vGyyy4zBx98sJ0HwUISEsafhGzZssVuwIUKFbLPJbMkZMCAAXbYJSHbt2+3zzXskpBixYrZcdKmTRvz+eef2+HwJET/EN1hn+rVq5saNWrYYX8SIv4kZMGCBSQhRNRBEhKfSIUkRAoXLmyrHvXr1zcdO3a04/xJyKBBg8xRRx1l2021aSNGjLDj5ZhjjjG33HKL9ywtCVEiI08//bRp166dHRa9jtpgUcXk1ltvtcNKQi666CI7LP4k5IwzzrCVY1Hl+cwzz7TD0rRpU9OhQwfvGYKCJCQXuMM0iB1JSOxBEhKfyO+HY7Sj5SjBqF27tvcsLQlRYqIdLyUeXbt2tYeddQhHSYjaPI1XsjB06NDQzlLfvn1N+fLl7fBTTz1l3n77bTss/iTko48+CiUhqqRoXToUrn552rHzJyHaUZNVq1alS0IaN25sPvzwQ+8ZgoIkBHkaSUjsQRISn8jPSQiQKCQhyNNqNepm6r8/y9RtN4PIYdT/4A9z4CFHR5xGZD8afPinef9/JCFANEhCAABAriAJAQAAuYIkBAAA5AqSEAAAkCtIQgAAQK4gCQEAALmCJAQAAOQKkhAA6ejqlrpPkhvmCr8AEoUkBIGluwXrRlW66ZXuA6E7G/tvADhv3jx7+WbdtKp79+7e2NSiS2XrEti6UdiuXbu8sWlOOOEEU6lSJXvfj2jonkWNGjWyw+vXr7ffPyL7+++/7aXBtR3eeeed3th9GjZsaKfp/iYA9kcSgkDq0qVL6KZ9fi+88ELoHhKO5kvVJEQ3DdN9OxYtWmSKFy/ujTU2Yevdu7e96ZhLQj755BNz5ZVX2ntv6I6k+nGUjRs32mHd00PjldA0adLETnv99ddNgwYN7LDuvTF27Fh7I8bbbrstdJ+PDz74wL4H3cxs4sSJdl3Lly+30/Iz9/35KelQhNN9TCLND6Q6/lUgkHRHYt2OO1zZsmVNjx49vGdpSEIOs8NDhgwxpUqVsncZve666+w4fxKim3vVqVPHvPrqqzZat25tbxCmu4767748ffr0UCVEd3p2SYhuza71a7k77rgjlAy2b9/eNG/e3A6LbsGuG5Pld5GSinHjxqUbr2EXv/76qzcWgEMSgsDSj+PJJ59s76apvXwNH3zwwbahl3fffdccffTRtoEvUqSInZZqVqxYYSsXju5Eetxxx3nPjKlZs6ZN6ESHa04//XRzxRVX2MM0F154oR0v1apVs9/jgQceaJ577jlTr149O16VEDf88ssvm8MPP9xUrVrVxvXXX2/H686k/iRE1Rbdoj2/0/fltkVH43SIJhJNA5Ae/yoAIE7cYRf/oTEAGSMJAQAAuYIkBAAA5AqSEAAAkCtIQgAAQK4gCQEAALmCJAQAAOQKkhAAAJArSEIAAECuIAkBAAC5giQEAADkCpIQAACQK0hCAABAriAJAQAAuYIkBAAAJB0JCAAASDoSEAAAkHQkIAAAIOlIQAAAQNKRgAAAgKQjAQEAAElHAgIAAJKOBAQAACQdCQgAAEg6EhAAAJB0JCAAACDpSEAAAEDSkYAAAICkIwEBAABJRwICAACSjgQEQNzt2bMn3SMAhCMBARBXo0ePNrfeeqt54YUXzNatW83u3bu9KQCwDwkIEIPs7OHnxyqAkopIn0vjGjZsaAoUKGCKFCli5s2bZ3bs2OFNBYB9SECAGGgP/5BDDrE/uJHizDPPtD/Ic+fOtT/EeSUZKVy4cMTPo89aqVIl065dO/tZdu3ale4zabhRo0Z23qJFi5pp06bZ7yje9DouAORNJCBADunHb926dfv9SGcUX375pdm2bZu3dLBFev/hUaxYMTNnzpx0iZUe/QnI1KlT4/6ZZ86cabp162YGDRqUp5I6AOmRgAA5pB++tWvXhn6Qn3/+efPjjz+aX3/91cyYMcMMGDDA1KxZMzRd1YNly5bZqkHQuffcrFmz0GeaPHmy6dGjhylVqlRoumLRokWhz5ToBETrv+222+z6DzvsMLNixYo88X0C2B8JCJBD4QnI//3f/5klS5bYQw5btmyxoelNmzYNzfPee++ZTZs2eWuITOsNj2Rz7/fxxx83ixcvtp9JiYTe+/Lly02ZMmVC8ygp0Xj3XqNNQPyf00VG1PfkzjvvtOtXAjJ79myzfft2byqAvIQEBMgh/VD6ExCd9bFy5cp0P6AanjhxYmieG2+80axatSrij6zGaW9e0+fPn2/7jagTp/byd+7cuV/Hz/DhjNbpZNRxNBL3flu2bGlf353JouU1/M8//4TmufLKK9PNk50ExL3fNWvWmAULFoQ+qypEmj+j96pxmSUgbr0Ago8EBMgh/dBlJwH55ZdfQvPcc8899kc20o+k+jYUL148NK8/jjvuOLNw4UL7Y+uW1Wu56apUqOLikgDHP8+oUaOyfUaKWyY8ARG9vr/vy1lnnWXfmzsUklUCouX//fdfc+qpp4bW4Q+dPaPDPeGn8B5//PER53eh19uwYcN+3wGAYCIBAXJIP6TZSUB69+4dmkeHK1avXp1uHnGnrmYV33//vf1Bd8tfdtlloWnjx4/frxpwxBFH2GkHH3ywTYSye0aKW2dGCcj69etD8ygBUcUmuwmI+sa4ZTOLTp062aTKfdYSJUpEnM/FoYceav7++29bLQIQfCQgQA7phzGjBMSF+kYceOCBdvrRRx9tpkyZsl8S8Ntvv4XWoUrH0KFDbQXgzz//tJ1Ze/bsGZqu0GEH/chq/Tps4caroqDDN0oWNK179+6haR999JHtLJrdH2e3XEYJiKo4bp6HHnrI9hPJbgJy0EEHhZbt1auX7eT6xx9/2M+qM4XcNH1vSihUtdHr67DPDz/8YE8D1nQdgtGZMCNGjDDffPONGTt2rFm6dCkVECCPIAEBckg/xP4ERGeH6AwNHWa59957TenSpUPX0zjxxBPNt99+G/EsmDPOOCO0jmHDhtlEQUmKkgWFDiu8/fbboXneeusts3HjRruspr/22muhaToUo2mqhLhxtWvXNtOnT09XOcmKWzajPiD+aoSSBvXl0DRFRgmIpl1yySWh5ZRYKYFSlcN91s2bN5vBgweH5rnhhhtsxUiv6abr82iaEpDff//dHg5Soqdpmie7nxFA7iIBAXJIP3T+BCSzKFmypOnQoYP9kQzfQ3fzKHFRdSP8uhoKHfJwlYP//Oc/NpHRejRNycr5559vp2kerePcc88Nrfe7776zCUL462bGLfvss8+GztrR++rTp4854YQTQtNr1aplKxcuuVFklIDo0S333//+N91yjoY1zl8lUQdVl7Rp+h133GHH65DLX3/9Ffq+/OsBEHwkIEAO6QfPn4DcdNNN9jDMK6+8YuOpp56yZ71o2gEHHGAfdY8UVTTcj6X/kIP6PIT3IRE914+sO5Sj0CEL7e2LEgsdxnDTlOy4YSU96p/h5s0ut3xmoerEpEmTbAXCvWc9RkpANN7/Xb3//vu2I2r4Z3Xuuuuu0Lw6bOX6tmh+dxaMS0D8/V4A5B0kIEAOhf+oqlqgK4MqiVBfDIWumaEfYf8ZHEoW3I+y//CJ+jP4kxM/JRk1atQIzatTe/0/ykow9PpuuuLyyy+3r62qS6R1Zsa/Hn8ouVFSpWRJFQx9fv8hJb1ORgmIkia3HnXM9Scu4dRnxc07ZsyYUGdUBQkIkD+QgAA5pB9DfwIS3gnVzaMfSHWedPNdffXVoc6iqoi48TpNVslCJJq3evXqoXl1xkt4Z9aBAweGpitUkdE1NqI59OK4dehKqEoidIqwEgh1jFVnUPUL0etr3e6zioYzOgTTt2/f0Hr1XjNKtqRLly6heXXmj0uiFCQgQP5AAgLkkH4MM0pA/PRcCYebTx1TlRioctC+ffvQePWvcP0twumH3n8JdP2w+394/e/D30F05MiRoQpENNzy6oSqM0v0WgodCtL7zmh9Gp9RBcT/Heizql9LRutp3bp1aF6d3UIFBMh/SECAHNKPYXYSENF4N5+uzaGzP/RDrgTBjW/btm2GhyV0iKVQoUJ2vmOOOcb+8Pr7dag/hvqZ6H4z/nXqol7RnH7ruOXdWTCR3lMkmi87CUiTJk0iXg/F0eEjN6/6gLh1KEhAgPyBBATIIf0YZjcB+eqrr0Lz6RRdXTfDHRpxHVSvuuoq+yMdvryea7ybT6fa6sqjbnldN8Stu1WrVrYfiv9iX5o/2iuEumUjXQckM3qvGSUgqmK49WqaPkN4YqT5lJi4+S699FL7edx8eh/uLBglWyQgQN5FAgLkkH4s/QnISy+9ZBMQP/Vd0Gmwbh6dyTJu3Di7nJbXD+t5550Xmq7bzKtvhaYp3DqOPPLI0DxKOFQpcdwpq+ecc479wddhHIVul++WUR8U/VC7dWbFLRevBET0WW+++ebQul9//XV7zRKt270vPfr7xaiviL5T/+vrrsNuuq6t4u8Lo+Wz+xkB5C4SECCH9EPnT0CyE23atEm3Ry+qBPjnqVChgvnpp59sZ8+PP/443TT1jfAv707zVajK4u4zo8M7em+uanLsscfaRMJ/xkpm3DrjmYBomvp9qHLh1n/BBRfYs4JUEVInVf/1P2rWrLnftUL0qLNi3Dw6u0ivocNO6tyrZC277xVA7iIBAXJIP4bZTUB0tVMlCDqLJPzsFXXsVFUk0nIulEjo2iK6bLs7I0RXTXXT7777bjNr1qzQ4QhN13rr168fmkfJj//eKplxyzz55JP7VSAyo3X7E5Bff/013edVAqTvQNPca0QK9fPQ5egz6hOjC5mFL6N1qm+NP7kDEFwkIEAM9IOqioTuRaJDI+GhPXOdMqvkQNcE8e/NO3quxEEVj44dO4auaqrQjd5UhdApurrCqUs+RIcv3N6/bjQX3s9D82ke/ZDrfinqzKnnkX7Q/fQDrsqDW0aHc7JaxtF8qnLoNfWedRVTf0Kg6fqsruJRtmzZ0Gc96qijTIMGDexhFZ3yq/Xo+w1/bT1XnxgdwnE32zvzzDPNO++8k+6meACCjQQEiIH7QdWPtBKA8NAPvqoOqkYoOQj/MXU0Xj/Uml+nvWpPXgmHbsa2ZMkSWwnQOvzLa31at5Zx1+QIp3Gapvei95idH2cto0RJ82v9kdabGb2GXlPLaz3hy+szaB6tW4d3lHjpsyqR0xk7qirpO83sdbW8PpO+GyU5+p70vel1M/qOAQQLCQgQI/3gZRXZpXn1w6sfWBd6ntF63PhI05zszBMuJ8v4ZWd5TYvms4YLX94tCyBvIAEBAABJRwICAACSjgQEAAAkHQkIAABIOhIQAACQdCQgAAAg6UhAAABA0pGAAACApCMBAQAASUcCAgAAko4EBAAAJB0JCAAASDoSEAAAkHQkIAAAIOlIQAAAQNKRgAAAgKQjAQEAAElHAgIAAJKOBAQAACQdCQgAAEg6EhAAAJB0JCAAACDpSEAAAEDSkYAgz9qzxxsAAoJtEsg+EhDkaXe+NsE07TKXiCEeaDXatOixOOI0IvtRrm4fb6sEkB0kIMjT6r43w7z4xRoihmj8wVTz2uCtEacR2Y9qTQZ7WyWA7CABQZ5GAhJ7kIDEJ0hAgOiQgCBPIwGJPUhA4hMkIEB0SECQp5GAxB4kIPEJEhAgOiQgyNNIQGIPEpD4BAkIEB0SEORpJCCxBwlIfIIEBIgOCQjyNBKQ2IMEJD5BAgJEhwQEeRoJSOxBAhKfIAEBokMCgjyNBCT2IAGJT5CAANEhAUGeRgISe5CAxCdIQIDokIAgTyMBiT1IQOITJCBAdEhAkKeRgMQeJCDxCRIQIDokIMjTSEBiDxKQ+AQJCBAdEhDkaSQgsQcJSHyCBASIDgkI8jQSkNiDBCQ+QQICRIcEBHkaCUjsQQISnyABAaJDAoI8jQQk9iABiU+QgADRIQFBnkYCEnuQgMQnSECA6JCAIE8jAYk9SEDiEyQgQHRIQJCnkYDEHiQg8QkSECA6JCDI00hAYg8SkPgECUh0du7c6Q0hVZGAxNmuXbu8ISQDCUjsQQISnyABic57773nDSFVkYDE2ZFHHukNIRlIQGIPEpD4BAlIdN5//31vCKmKBCTODjvsMG8IyUACEnuQgMQnSECiQwICEpA4IwFJLhKQ2IMEJD5BAhIdEhCQgMQZCUhykYDEHiQg8QkSkOjk1QRkz5493hBiRQISZyQgyUUCEnuQgMQnSECikxsJyJQpU8yDDz5oatWqZTp27OiNjd6JJ55ofv31V7N9+3ZTunRps379em8KokECEmckIMlFAhJ7kIDEJ0hAopPsBOSNN94wBxxwgOnZs6cZNmyYqVmzpjn99NPN7t27vTkyVrBgQbNw4ULvmTFnnHGG+eWXX+yy7dq1Mzt27PCmIBokIHFGApJcJCCxBwlIfIIEJDrJTEBWr15tChQosN/hk1NPPdV88cUXdrhHjx5m6dKldlgJhRIW+eSTT2wC0rx5c/Pkk0/acS4BkVdffdU+Ot26dTMvvvii+eeff7wxaetYtWqVad26tZk6dap9Hx06dDAvv/yyfZ6q8m0C0rVrV2/ImM2bN3tDiUcCklwkILEHCUh8ggQkOslMQKZPn25KlCjhPdunSZMmpl69enb4sssuMz/88IMd3rp1q006RAnCwQcfbPr162e++eYbO86fgCixEV0DSvO99tprZvjw4Xb83Llz7bRy5cqZY4891iYcnTp1MjfffLN56aWX7PpiORSU1wUqAfn333/Ntddea/9wigceeMBs2rTJm5o5/cH92a3bKEaPHh0aTgYSkOQiAYk9SEDiEyQg0Ul2AnL88cd7z/Z54oknzC233GKHM0pApGjRombx4sXes8gJyB9//GGKFStmD9Uo3n33XdO0aVM7rXz58vbQj6PX0vNUv3BlYBIQ/cH1h1QZzGnRooX9g2aHlo2UgDjJ6rlMApJcJCCxBwlIfIIEJDrJTEB+//33iL8lN954o2nbtq0dVlIwZswYO5yTBKRXr17moIMOMuecc46N888/3x5mkSuvvNIMGTLEDov6jtxwww12/kGDBiXt9yloApOA6I8XKUMtXry4+fnnn+2wP6n4+++/bblLx+rUsUjTFO3bt7fT3bxz5swJbXj6I/fv398mCYULFzZjx46140XzqxymR22s6qRUqFAhu+7Zs2d7c2WNBCS5SEBiDxKQ+AQJSHSSmYBs2LDBtu3ukIjoXjRq3904JQkDBgyww+q/od8X59BDDzULFizwnkVOQPSbFH4lbNfBNTwBcdzvFwlILnvsscfMW2+95T3bR6c49e7d2w67P7RoAznmmGO8Z2nT/L2Z3bwqi51wwgl2ePLkyXbDcZTVLlq0yA4r0bnnnnvssA77+LPfaJCAJBcJSOxBAhKfIAGJTjITEJkwYYKtOJx77rmmYsWK9jdCO6SOdoI17oorrrCJhJIO5/nnn7fLaqdUzjzzzP0SELn44ovNKaecYjuhHn300ebPP/+048uWLZsuAdF61Ffk0ksvtd0OSEBymRIQdc4Jd9FFF5nPP//cDvv/0JESEJ2T7bh5/QnII488Yk+9UslNccQRR9hzuUUbl3pKO8cdd5zdaNatW+eNyR4SkOQiAYk9SEDiEyQg0Ul2AoLgCUwColOXdNwsnJKEGTNm2GF/AjJ//vyoE5D777/fvPPOO7Yc58J1AgpPQFRNmTVrljnqqKNCxwizgwQkuUhAYg8SkPgECUh0SEAQmARk7dq1NmlQhxynevXq5uqrr/aepSUV48ePt8OXXHKJKVmypB0Wf3IikRKQoUOHmvPOO88OixIQd4pueALizJw501x44YXes6yRgCQXCUjsQQISnyABiQ4JCAKTgIg6+VSrVs0mDwpdtMV/mpIuo6vxOp9bx9P8/TQeffRRO03naotLQNSB9PDDD7fDOs6mq9bpuZbVIRm3fs2vhER0OvBJJ51kj9OVKVPGbNy40Y7PDhKQ5CIBiT1IQOITJCDRIQFBoBKQeHEdenKjYw8JSHKRgMQeJCDxCRKQ6JCAIF8mILmJBCS5SEBiDxKQ+AQJSHRIQEACEmckIMlFAhJ7kIDEJ0hAokMCAhKQOCMBSS4SkNiDBCQ+QQISnWgTkO4Dp5jL7v/EXNe4j5k5d5k3dp9Zc1eYG5r2NZfc29N0/3KKNzayFm8NN+ff1tU89H8DzJat+9/JdtB3M81VdT41VRv0NpN+23cBMsQXCUickYAkFwlI7EECEp8gAYlONAlI/5G/mQoNh5tqLSaY6i0nmnIP9/Km7FOxfu+90yaZai0nmHKPDjd9h6ddKMxP/QIfer6Pqdpi/N51jTfVn/jRXPPoJ97UNFNnLTJX1R9k11N9b5R9qK/ZvHXfJR4QPyQgcUYCklwkILEHCUh8ggQkOtEkILc/MWBvQjDRJg2Kys3GmDe7p904Tt74+AdTpfno0HQlKbVbpl1W3W/Hzl2mSsP+ofkU5et9ZabN2nefl4eeH5jutao+Ps488+7X3lTEEwnIXlv2ZrcL/l1tVq7N+M67/65cbxYvW793KPMza9wpv0gOEpDYgwQkPkECEp0PP/zQG8rapfd9li5pUFJQ49Fu3lRjajXqYcf557n0/v2rJNu27zSVm45KN1/Vx8eagaPSLnYppe/4KGz6OHPZXal7y/xEIgHZq0q9T/dm1N+bsg/3MZ9//Zs3dp+6Lw0yVzUYYq5u+LW588m064xkRNcTOeSQQ4gkRKGDCpjHOs2O+GNAZD9IQOITt7841m6TkbZVYv9w12rKjise6LU3GZjgSwrGmpua/M+basxtj//PVG0+NjRd8172YNo9xPyUgFRq/K1vPlVTfjBffT/Tm8OYMvd2s8u76UpArnrgI28q4inlE5Baj3UNbWiKi+7+1Ozes++mdn/+szxdaU8b/sgJaTcYioRDMMlFBST2IAGJT1ABiU40h2Due26gqepLCio3HW269P3Jm2pM1y8m23GhdnrvvPc8+6U3dR8dgrm6bm+bVLh5yz7yZbpOrY1fH5butTTv6x/vO9yD+En5BKTSowP3bmT7NraKjUeZjp9P8KbuzaxbfB6aZqPlBHPDY/uX9hwSkOQiAYk9SEDiEyQg0YkmARnz89+mXD211WltcKU6+6ofTrVHP7XTNE/ZOgPN9z/N8abso06or3YetTepGGPnq/7EJHsmjN+cBSv3JiV9Qm1+2Qc+Mdt37PSmIp5SPgG5qsHXoQ3NRsuJpsUb++5Hc86N76afvjfOqtnem7o/EpDkIgGJPUhA4hMkINGJ9jTcX2YtMWXv62zuerqf2blrX5Xa2bV7j7n32f7mins7mx+nL/TGRtZ1wGRzbs13zTPvjfTGpDf/3zWmUt3uplazXmbj5m3eWMRbyicgV9cfnC65qNTke/NOz7HeVGNqNPwk3XSbfdfdP/t2SECSiwQk9iABiU+QgEQn2gQE+U/KJyA1Hk3fB6T0vb3NmvVpd8iV8dPm79e5qc/X+59f7pCAJBcJSOxBAhKfIAGJDgkIUj4BWbFmo72oTZXmY0zZOoPMmz3GeVPS7N6zx9Ru0ddc3Wikqdj4W3vscefOfXfoDUcCklwkILEHCUh8ggQkOiQgSPkERFf1WLF6o+n79S9mYiaX3B0x/i8zdMws71nGSECSiwQk9iABiU+QgESHBAQpn4DEGwlIcpGAxB4kIPEJEpDokICABCTOSECSiwQk9iABiU+QgESHBAQkIHFGApJcJCCxBwlIfIIEJDokICABiTMSkOQiAYk9SEDiEyQg0SEBAQlInJGAJBcJSOxBAhKfIAGJDgkISEDijAQkuUhAYg8SkPgECUh0SEBAAhJnJCDJRQISe5CAxCdIQKJDAgISkDgjAUkuEpDYgwQkPkECEh0SEJCAxBkJSHKRgMQeJCDxCRKQ6JCAgAQkzkhAkosEJPYgAYlPkIBEhwQEJCBxRgKSXCQgsQcJSHyCBCQ6JCAgAYkzEpDkIgGJPUhA4hMkINEhAQEJSJyRgCQXCUjsQQISnyABiQ4JCEhA4owEJLlIQGIPEpD4BAlIdEhAQAISZyQgyUUCEnuQgMQnSECiQwICEpA4IwFJLhKQ2IMEJD5BAhIdEhCQgMQZCUhykYDEHiQg8QkSkOj079/fG0KqIgGJs3LlynlDSAYSkNiDBCQ+QQICRIcEBHkaCUjsQQISnyABAaJDAoI8jQQk9iABiU+QgADRIQFBnkYCEnuQgMQnSECA6JCAIE8jAYk9SEDiEyQgQHRIQJCnkYDEHiQg8QkSECA6JCDI00hAYg8SkPgECQgQHRIQ5GkkILEHCUh8ggQEiA4JCPI0EpDYgwQkPkECAkSHBAR5GglI7EECEp8gAQGiQwISg23btnlDGdu9e7c3hEQgAYk9SEDiEyQgQHRIQMLccsstpkCBAmbDhg3emH0OOeQQO03WrFljhzdu3GifZ+Tss882DRs29J4h3khAYg8SkPgECQgQHRKQMBUrVjR33nmnqVWrljcmzcSJE03Lli1DCQiCgQQk9iABiU/k1wRkz549ZsGCBWbhwoV2ONz8+fPNypUrvWfR4YZ0qY1f0zBXX3216d27tylUqJA3Ju0foBKPXbt2pUtA3PC8efPM6aefbnr27GnH1a5dO3TopVGjRubjjz+2wxUqVDDffPONnVd3zf3rr7/MoEGD7DIPPfRQaJlHH33UtGvXzg7LxRdfbBYvXmyHNe8///xjChcubM455xyzefNm88QTT9jxnTp1svOkEhKQ2IMEJD6RXxOQ7du32/blgAMOMFu3bvXGphk+fLidduutt3pjsk/taZEiRbKsIiP/IgEJowTkhx9+MJUqVbLJgegf4OGHH26H9Y/NccOzZ8+2w2+88YZ9fuKJJ5pevXrZ4UceecR8+OGHdrhGjRrmyCOPtH1HvvzyS7tM8+bNbYKj8ZMmTbLzNW7c2LRt29YOS9myZc2SJUvssJZRAiP33nuvfT5ixAi7DiVNc+bMsdNSBQlI7EECEp/I7wmI2reXXnrJG5umVKlSpkWLFqZmzZremLQdNn/4x0Uado9ZhRM+7J674cwCwUICEkYJiKoUU6ZMsYmEXHvttWb8+PF2WP8QHTesBOTYY4+1w6K9Atfvw5+AVK1a1fTp08cOK+tXFcRp1aqVeeWVV+xwVgmI3xVXXOENGXP55ZebYcOGec9SAwlI7EECEp/I7wmIKrR61HNZu3atOfnkk03fvn1DCYjbGVN7VrJkSXPDDTfY8WpXX331VTt83XXXma5du9ph156pPdRwwYIF7bwaVmX3iCOOMMccc4w9NO64ZcRfldZrq43V87POOsuuS4fN1Y4fdNBBtjKNYEn/a4ZQAqJsWRvysmXL7KM2dPFv/P4N35+AqCJRvXp1O5xRArJp0yZz6KGH2mF5/fXX0yUgb775ph2WcuXKZZiAKDlxlIyQgBDRBglIfCK/JyBSvHhxM3XqVDusNk7Jhw49uwRE87q2UrTczp077bAOt3Ts2NEeUnbcel0CoqRGbr/9dvPwww/bYdE0HW52w054AnLggQeGDhNph8xVpRctWmRPIkCwpP81QygBkY8++sgcffTRpl69eva5+Dd+/4YfzwREyYerbOiwjF6HBCQyEpDYgwQkPpEKCcj06dNNiRIl7LDGKQHwJyA6vFy+fHl7OFiheVwCoj5qeq720nHrVQKiPiZOjx49bLLiqK1cvny5HXbLSHgC4g5PywMPPGC+++47O7xq1SpbEUGwpP81g82a3Ua7bt06u3GHZ/SOG547d2667HrIkCHpEpAOHTrYYVUytMcgLuN3lKm/9tpr3rO0ZEXTdShHx1mVwYt/GTnvvPO8IWMuuOACe/gnlZCAxB4kIPGJVEhARImFqrTPPfecfe5PQHTY5MUXX7TDouVcAnLwwQebpk2b2s74jltveALSrVu3dAlI0aJFIyYgWrd7Hp6A3H///SQgAZf+1wyZ8ndicsO50bGJzlT7kIDEHiQg8YlUSUDq1Kljn+vUXFG1wiUgnTt3ttc++v77720lRPNpB+6+++4LJSannXaa6devnx12640mAdFlEsqUKWP7ySmpcOvQWYVat0MCEnwkIMjTSEBiDxKQ+ER+TUCUQLRp08Z7llZ1aN26tffMmD/++MMMHDjQe2ZscqEOp7/99luoD4YOMbu+GUoUVDURt54dO3aE5hUt6/qayHvvvWcTIdEOWPv27c37779vn2vdoiSme/fudliGDh1qL1kgOjT01ltv2WEEBwkI8jQSkNiDBCQ+kV8TECBRSECQp5GAxB4kIPEJEhAgOiQgyNNueu57U7fdDCKGuOP/vjYNPpwTcRqR/SjzwKfeVgkgO0hAkGfRFxdBwzYJZB8JCAAASDoSEAAAkHQkIAAAIOlIQAAAQNKRgAAAgKQjAQEAAElHAgIAAJKOBAQAACQdCQgAAEg6EhAAAJB0JCAAACDpSEAAAEDSkYAAAICkIwEBAABJRwICIJ3du3ebPd595d0jAMQbCQgCa+3ateb22283Bx10kDnzzDPNjBkzvCn7jBkzxhQsWNB7lnoef/xxU6hQIbN+/XpvTBolDhdddJEpUKCATSiicdhhh5mVK1faYS3/559/2mEAiCcSEATS33//bX/8+vfvb1avXm3mzJljn/fs2dObw5gqVaqYW265xY5PVbVq1TKXXnqpue2227wxaXbu3GmOP/54+91s377dG5s9/gRk8eLFZteuXXYY+2vYsKH9josXL24+//xzb2yacePG2fGaPmzYMG8sAIcEBIF03XXXmZdfftl7lmbhwoW22uH26EeNGmUfUzkBqVmzpunQocN+34GSsylTpuyXgDzwwAPm5JNPNn369PHGpHn11VfNueeea7/TI444IpSAXH755WbLli12+NdffzVly5Y1F198sf1bOKq0KFG57LLLzF133eWNzf/03Xbu3Nl7Zmyyceedd3rP0pITWbVqVUpvo0BG+FeBQNJeuKoefps3b7YN+Y4dO7wxaVK5cVcCoj1vJWz/+9//7Dj3PYkeXQJSrFgxM3jwYLNo0SK73JtvvmnHv/fee+a0006zCYbbo3cJiA5/qQI1b948c9NNN5l//vnHTJ48Od13XqRIEZuETJ061VStWtXUr1/fm5J/Pffcc6ZMmTLes30y2hY1Xt8vgH1IQBBI+lHTD5+f9sTVkJOA7KNEokePHmbixInmjDPOsOO6du1q+4aIvhslIEoclNRpPlU53n77bXPJJZeE5vF3Nj300EP3S0Ccn3/+2YwcOTLdd66q1IYNG+ywDp0pGcnv9Pl1iCVcpG1R80UaD6Q6/lUgkE455RQzfPhw71kal4CE90lI5cZdCYjrF3PAAQeYZcuWmQMPPNA+F303SkCUdBx++OGmTZs29nBL69atQ30Wwr8/zReegCxZssSUKFHCJjYvvfRSumWUgKjDsGg+VVryO33+rBIQfb96rrj22mu9sQAcEhAE0osvvmjOPvts71maihUrmscee8x7to+/0U81/gSkS5cu9myhs846yz4XfTdKQNQpNfx7Wr58uX1UnxBVUURnvGi+8ASkY8eO9rVE1RL/usITEPWFyO90+MXf/8PJaFtUAuLvHwKABAQB9tBDD9m9+pIlS9ofuVKlSpmnn37aduoT/dhqmhr94447zrz22mt2fCqpUaNGKHlQ0qDvQodBHD13h6zatm1rjj32WNtf5PTTTze9e/e24zW/Ds9omr5jLbNixQo7TcNKLlRZOfLII021atXsoR6Nd9w8os6oRYsWtcP5WaTDKpkdalGfEaogQHokIMhT1MFRjbw7MwP7i9fFw2JZT7zeQ5ApodC2qEd3uq2/yuGmKVHOKDEBUhn/KgAgTtxZRACyxr8UAACQdCQgAAAg6UhAAABA0pGAAACApCMBAQAASUcCAgAAko4EBAAAJB0JCAAASDoSEAAAkHQkIAAAIOlIQAAAQNKRgAAAgKQjAQEAAElHAgIAAJKOBAQAACQdCQgAAEg6EhAAAJB0JCAAACDpSEAAAEDSkYAAAICkIwEBAABJRwICAACSjgQEAAAkHQkIAABIOhIQAACQdCQgAAAg6UhAAABA0pGAAAAAAACAlEARBAAAAAAApASKIAAAAAAAICVQBAEAAAAAACmBIggAAAAAAEgJFEEAAAAAAEBKoAgCAAAAAABSAkUQAAAAAACQEiiCAAAAAACAlEARBAAAAAAApASKIAAAAAAAICVQBAEAAAAAACmBIggAAAAAAEgJFEEAAAAAAEBKoAgCAAAAAABSAkUQAAAAAACQEiiCAACAwNqzZ483lJ7G79y50z5mNA8AAEA4iiAAgFwXy44sO8HJk9PvOta/0TPPPGMKFCgQiqOPPtq0atXKrF692mzcuNHs2rWLbQAAAGQLRRAAQK7QTuvu3bvNypUrTYcOHcyzzz5rQzu8mcXTTz9tXnnlFdO+fXvTt29fM3HiRLsO/zoV7BTH1+LFi82HH36Y7b/T//3f/5l27dqZzz77zEyYMMH8888/3pqMLVq4v1Fmfyc3rVGjRumKIEWLFjUPPvigmT59ulm6dKnZtm2bXR8AAEBWKIIAAHLNhg0bTLNmzdLt4OY0jjvuOFO3bl3z3Xff2d4BbseYYkhs3Pd3wgknRPzeo43q1aubnj17moULF5qtW7faU1oy+jtlVgS57777zNSpU21xJshFkMzeFz1YAABIPoogAICk046fYu3atebxxx9Pt4OrOPPMM82ll15qLr/8cnPFFVeYsmXL2rjyyivt+PPOO8+ceOKJ5qCDDtpvWcXFF19spk2bZtasWWN27NjBjmYM3E68/ibh3/Opp55q/0bhf6fLLrvMXHjhhXaZI488cr/lXDzxxBNm3rx5thjm/k7+v5UbzqtFEPf+W7Roke79q2D30Ucfmc2bN9OLBQCAJKMIAgBIOrezm1ERRKdbjB492sycOdOeRrFo0SK7s6vQsAtNf/755yPuaGsH/ddffzUrVqxgRzMGmRVBmjZtan788Ucza9Yss2DBgv3+Turtob/fyJEjTbly5fZbXqFiyU8//WSv77F9+3b7eq54kNeLIM6dd96Z7v0ffvjhtgeUvht9bgp1AAAkD0UQAEDSZVUEeeGFF8yUKVPstT60g+t2EN0Osh51KoGm6XSKPn36mGOOOSbdOg499FC7kz537lyzbt06O1803HvMipvHze+PrERaRhGtSOtQxENmRZCWLVuaP/74wxaa/AUMPbq/kXbwddrLqlWrzKBBg/Zbh6JOnTq25462B39BwD3GuwiSne/G/x7c53KRlfB577jjjnTvX9umPtNff/1lt3F9d/5l/MsCAID4oggCAEg6t5MXbREknBuvHejrr78+3ToKFixoqlWrZmbMmGGWL1+ebkczI26adt63bNliezh07tzZ7sSeffbZ5uCDD073GtqZ1ekf9erVs6c3qDeE69GQ2cU/NV6FGV3Uc8mSJaHeE1rWFXbcshnRNM2zfv16s2zZMrse9b7Q8KZNm9K9fiy0DsmoCKLvyF8EiUTvQe9Hf89If++zzjrLjBgxwn4GnSKief3vOx5FEPd9qSAzf/58e8HW+vXrm8qVK5vDDjss3foLFSpkSpUqZW699VZ7cdfJkyfbIo7em/9v48LRsIo4+pz62+rvob9pzZo1061f240KP7pg7O+//257hKjXjOZXuO9B6/K/FgAAiB1FEABA0rmdungVQXRKRoUKFdKtQzu2OuVAdxDJqgiicW4nunfv3uaMM85It65oo2LFivauNbomid6/26l3r61HFU7ClzvttNNs0UU7ztoJdjvAfm49infeecfuUPvXoe9Bp5+41w5fPlrue4m1CKLQBWu7du2633pUBBkyZIgtTkS65W0sRRCtR9NUDCtTpky69UQbJ598svn888/TFUTcZ3NUDCtRokTE5bMb+pu+//775t9//w0VtPyvAQAAco4iCAAg6dyOYyxFEDdOO4oNGjRIt/yBBx5oL9SpI+1z5syxF97M6nQY3f410h1QdPFVXWhVO/xdunSxO+tDhw41X3zxhb0N7DXXXJPhBVrLly9vd9TVW8NfhNFOrd5PmzZtzBFHHJFumcKFC5t77rnHFm7c+3afVY+uMKJihz6nf9kHHnjAvj+doqIdddeTIBZu+ViLIKLizl133bXfenTB26+//tr2hoi005+TIoj7rnTdGBWX/Mu7+M9//mMeeeQR895779m/57Bhw+zjW2+9Zd9nyZIlIy6na9Do/epzq2eJ3q9eS6/5yy+/2J4futaJepPoMfxvrL/bsccea84//3x7kV+Fhl1UqVLF9ozRRWO17fi3AQAAEBuKIACApNMOnSKjIsgrr7xifvvtN9ubIVLxQjuc48ePtxecLFKkSLplixUrZp555hkzZswYe80FvYYrQGTk7rvv3q+QoTt46O4l3377rd3Z/vvvv23BRTvyOpVFO6d6fyrUaNqXX34ZsYiia5WoZ4bm0w6zex/acdb76t+/v91ZDl9OFxLVhV31Gq7AoGV06oR6JITPr4LMDz/8YIs+WsZ/KkUstA6JpQgi6jmhnivh61C88cYb5ueff7an8ug7Cn/f0RZBtKy2m4EDB5pDDjkk3bKKhx56yBY71INI24hOP1HRSNuK/rZ61HON//77703t2rX3W4dOjXr33XftKVD+04/0unquv7fem9YTfjqMeinpVBxdEFY9VLT9aD0udEqMvlP1ionX3xEAAKShCAIASDrt0CkyKoKoIKEeEdrR1KMLPdf1GsLnV5x++um2aDF8+HC7Y6leBa4nRaSdc7dT+fLLL+93pF634e3QoYPtjaKd0vBbuPrD7fhqJ18XYb3gggvMAQcckG59tWrVMmPHjrUFFFcs0LLacdayer+6/oTm9S+r03LUs0M71NohVkFG34ObrlBBRKdgaIdap5PovWq9Wn88uO8uuxdGdZ/NTz0sdLee8OUV+v713ai4E94LxD1GUwRx36tOg9J1YfzLabtSL49x48bZv5UrkLkChpZ14T6L/u76XrVt+del0Gkro0aNsu/BX7xxy2u9ktGFUf/880/b40fvX/P6I/z9AACA+KAIAgBIOrdjl1ERJNY45ZRTzMMPP2xmz55td6wzOi1EpxucdNJJ6ZZVzxLddlenNWjnVhdIdTukGdE0zaMd4e+++y5ioaZHjx62MOO/5oVbTs/VC0K3Bg5f7qijjjKvvvpqxO9Jp8QMGDDA9hjR8nqvbt3x4r63SEUQfXe6zoZOZ7nqqqvM1Vdfba+Houfq3aK/Q0ZFKxWadHFSFW8yOg3GDUfbE0TfsQpP/mUUOvVFvXL0d89Oscj9ffSoHi+XXXZZuvWpYPXYY4/ZIpa2ZRW0Ir3/8Fvkqgii5cLvDgMAABKPIggAIOm0w6fIqAiiYoA7DUV3z1BvAx01d6Gj/JMmTbLXTejUqZO9Foa7foO/J4UKGiog6Gh7pJ1sXeOjePHiofkV2tHt2bOnPUUhmusxaB6tX4WI0qVL79cbRJ9TPUvcqSp+blm9R93uV8UD/7KRQjvRKrjo+/Bf/yM77zUamRVBog31klHvkb59+9q/rXpjqHeMK2KEv3f3PLtFEDe/vmP//C70d9X25AoP7rNlxq1T33Hr1q33W6eKQLr2jO4GE34qj3ukCAIAQHBQBAEAJJ12+BQZFUF0fQvdllQ7lioMaCdRO/n+0I6vCg6arqP6Klo8/fTT+61Lp0Roff47j7id37p16+53TRHtsKoAo+syaN3Z2VEWfR7Nqx3h6tWr73fRUl28VXeMcac/hO/0uuVVdBk9enSGRQcVV5577jl7/Q8VERJ94Uz3+SO9H90eWD1u1MNC36XueKNHXe9Cf1cVDXSqjk7p0d9TFynV30m9VvS3cKei6L1Hev9uXDQ9QbRO9fbwz6/QLY7Va8YVt8ILYlnRMvos4etVjxf9vdSbJfyOPu6RIggAAMFBEQQAkHTa4VNkVATJ7i1yxa1LO7XawQ3fYVbogqVany5s6t9h1mtrh9Q/73XXXWd32jWv26nNDr0Hzav1ax3hRRDt9KrHgCuChK/XfUadWlGjRo10y4aHrm3x5ptv2s/rrnuS2XcUC/c+IxVBdAtiXdBUpx3p+1JxQ59P1whRuIuN6j2qYKXilXuvLjLjpmenCOLWp4KCLnjqn1+hO7roYqi69khOrpuiZSLd3ve///0vRRAAAPIQiiAAgKTTDp8iHkUQP51aEemUBd0hRBff1LUg3GkxotNhdM0N/7w6sq/rd7ieINndWdY82gHWewgvgCh0C15dV0KfScWASAYNGrTfBURVwFEvkhIlSqQbr9BdTnSqkHopaEfavwMeL5kVQdyFUd1nivTaGpfT9+SWi+Z0GD2qABN+UVSFLnar96s7wERbONLr6NbF/vWpV06dOnVsDx8VgTgdBgCA4KMIAgBIOu3wKeJVBHHTVeSItKOqwobuCKJTYnS03hU2dPT+tNNOSze/onnz5rZgEen6HZG4z6Md61atWu23A16pUiV7C13XcyO8sKJTQ3TKjn8ZxUUXXWRvoavrn+iWv+eff/5+81x++eX2Nq7qdRG+Ex4PWRVBsnuL3JxwnyOaIohCRY7w7UCh05TUa8N/SlJ2vivNo+0nvLil4lqvXr1s7x0Vv8ILQW44vAiiW+RSBAEAIHdQBAEAJJ12+BRZFUH8O9duGRd+mq5TICLdEUS3v33//ffNtGnT0p2K4tapW6aGXxxVO9n+64iouOHm9/O/FxUgOnfunG49Ch31V88S7SjrdJHwnW+9RvjtcVVE0Skxuv2qrqOh70HFE73/2rVrp1u/Qr1EdEFV9UaI9x1i9LklLxRBRMuoGKELoIZf70Xx4IMP2m1FBS5XfHDh53+u668cf/zx6dajU5J0DRqd4qReQ5G+d/ee9F79yypuvPFG+935CzIAACDxKIIAAJLO7XRmVATRtSZ0XQ5db0JFAF1zYs6cOaFQjwrtfHbv3t1elNOdKhJ+RxadSvK///3Prkc7y+HXbHA7rS1atLDFEv+yCt3NpFu3braHiXaa3c6q1qHCiNa3ZMkS8+mnn9rXCl9eO866mKYKOppPO8r+QsFXX31le6n4lylWrJh59NFH7YVE1VNA35F26vVe9Zrq5fDGG2+YwoULp1tOoeKR7hajwo2W8b9WTrl15KUiiIb1XesCt5H+ripMvfjii3Z5vXd/Dxp9x1pWpxip+KHeI1rGv21peRVAxo8fn2HvHnHPdSqUu3uRixNPPNG8/PLLdnvWa+nvpc+hYRXL9J78xbfwdQMAgJyhCAIASDq3U5dRESSW0CkL5557rr3ehwol2kl3pxy4HUo/7bxq51OnSegil5HWGW3oPeh0h6+//tr2AHFH+/07yipYhBcydGtcnU6joo3/bjaOltWOscYPHz7cHH744emWV9x777329BlXPHHFgZxyy+eVIohoOX1vKiToe6hQoYIpVKhQunXkJLQO3UJ58ODBtrCl187qujEar/ehu+ZEWmekUA+Wjh072u0mvHAHAABiQxEEAJB0bodOO4e61oVuXxppZzCz0PUYdD2P8uXL2wuE6pQXHfnX0fnffvvNFhHUe0OvkdVOqnYytSOt+XXhTPUSiNSzI7NQQUIFiM8++8z2IJg+fbrt/eFOp9HruPfQt2/fdJ9ZRZNrrrnG9OvXz753LRdp59etQ59HvRXUi0B3otGpGW5dKqy89NJLtheJK6L41xEtV1zQxVn9p5ecc845plOnTvY96HtznzGe3PrU80V/b/faKnLp7jiuwBSpAKNlNU6FIPWu0Ckr6jmk3j3hPYYyi4MPPthUrlzZfPDBB/baKzqtStuWeuRkVFjz0zR9N9q+dP0QvfdIr+MP9TRR7yL1gNJ7T8R3CwBAqqIIAgDIFW4nVTuS2qHU9Sx0+9K5c+eGTnvJLDSfTkXQDqmOyGtnWDvj2vHXDqd2HLPaQfXzvx8d3VfvBq3/l19+sYUVFVh0io56AeguLnocNmyYHa8eJype6H0tXbrUfh5/8cX/HtyOuU6h0Lz6zO5z6DQId2pEVu/dvVd9Xn12La/1KPR9qAdEVgWg7NCyWofWpYuvqpig19D71t9Mn9X1xIjldTIS6fvS6Ul6H7oYaaRrcfhpvFuH/q5aZsGCBbaAoru6fPfdd7ZXjU5N0t9Vob/zyJEj7cVQVfRQQUnfqZZVccq/bWXnM2sevUd9T1qHvj/1JFFRRduQXtttTxqnnkDavjVvIr9bAABSEUUQAECucTuRCu3oaUcx2tByLvzryyn/+9HOrgoNKgBo51cFB+2Mu9Bz7VhrR1zzaUdb7ymr9+HW78L/OTJbLpyb17+enK4rM+Gv4w83LR6vE0lmr63I7mv716PvSH8r93fV39D/d3V/W/1dVYRwf9doXi+c//XddqX1+7cptz3pfWm6XjOnrwcAACKjCAIAQBbcjmhmgbwn0t8xUiRCpNfxBwAASAyKIAAAAAAAICVQBAEAAAAAACmBIggAAAAAAEgJFEEAAAAAAEBKoAgCAAAAAABSAkUQAAAAAACQEiiCAAAAAACAlEARBAAAAAAApASKIAAAAAAAICVQBAEAAAAAACmBIggAAAAAAEgJFEEAAAAAAEBKoAgCAAAAAABSAkUQAAAAAACQEiiCAAAAAACAlEARBAAAAAAApASKIAAAAAAAICVQBAEAAAAAACmBIggAAAAAAEgJFEEAAAAAAEBKoAgCAAAAAABSAkUQAAAAAACQEiiCAAAAAACAlEARBABySeNWg0ylBzqaag93Iojci0c6m8r3tzNlrqmzd7hL5HkIIklRdW+Uu+dD02voNK+lBAAgviiCAEAuubVJd1P/g5nmtUGbzMsD1hFErsSre7e/Jh9OMwULHWxaD90ecR6CSFa8PnSrqd70K9P+0zFeSwkAQHxRBAGAXKIiSN33ZphXvlxvXvxiDUHkSrz85QbT+IOppmDhIua1wVsjzkMQyYpWgzebak0GUwQBACQMRRAAyCUUQYggBEUQIkhBEQQAkGgUQQAgl1AEIYIQFEGIIAVFEABAolEEAYBcQhGECEJQBCGCFBRBAACJRhEEAHIJRRAiCEERhAhSUAQBACQaRRAAyCUUQYggBEUQIkhBEQQAkGgUQQAgl1AEIYIQFEGIIAVFEABAolEEAYBcQhGECEJQBCGCFBRBAACJRhEEAHIJRRAiCEERhAhSUAQBACQaRRAAyCUUQYggBEUQIkhBEQQAkGgUQQAgl1AEIYIQFEGIIAVFEABAolEEAYBcQhGECEJQBCGCFBRBAACJRhEEAHIJRRAiCEERhAhSUAQBACQaRRAAyCUUQYggBEUQIkhBEQQAkGgUQQAgl1AEIYIQFEGIIAVFEABAolEEAYBcQhGECEJQBCGCFBRBAACJRhEEAHIJRRAiCEERhAhSUAQBACQaRRAAyCUUQYggBEUQIkhBEQQAkGgUQQAgl1AEIYIQFEGIIAVFEABAolEEAYBcQhGECEJQBCGCFBRBAACJRhEEAHIJRRAiCEERhAhSUARBoo0bN8506dLFewYgFVEEQaCtXLnSvP76694zIH+hCEIEISiCEEEKiiBItPfff99UrlzZewYgFVEEQaDNmjXLHHbYYd4zIH+hCEIEISiCEEEKiiBINIogACiCINAogiA/owhCBCEoghBBCoogSDSKIAAogiDQKIIgP6MIQgQhKIIQQQqKIEg0iiAAKIIg0CiCID+jCEIEISiCEEEKiiBINIogyTdz5kxTr14988ILL5hFixZ5Y43ZsWOHWbFihdm4caM3BkgOiiAINIogyM8oghBBCIogRJCCIggSLb8XQVRQeOONN0yZMmVM0aJFzQEHHGCOOuooc/TRR5sCBQqYww8/3FSsWNEMGzbM7Ny501sqdi1btrSFjjVr1nhj9hkxYoQ544wz7Ov+8ssvdtz27dvNs88+a9/TRRddFHE5IFEogiDQKIIgP6MIQgQhKIIQQQqKIEi0/FoE2bNnj5k8ebIpXry4Oeigg8ybb75p1q5d603dZ968eeaOO+6wxYfrrrvOzJ07147X8rEoUqSIXeeGDRu8MfuMHDnSFkEqVaoUKoLE+nrRSOZrIW+gCJKHhP8DToV/0BRBkJ9RBCGCEBRBiCAFRRAkWn4tgsyZM8ecfPLJNm/u16+fNzZj11xzjS1atGnTxmzevNmOGzdunPnPf/5jCxZjx46145wtW7aYDh062GU++OADO06ns9x3333mzDPPtD1ONE3vQcur58mUKVPsfJGKIPLRRx/ZZapWreqNSbNr1y7To0cPU758eXPCCSfYZU888URTrFgxc9ttt5nx48fbeZx///3XnHfeeebSSy81rVq1MuXKlbPrVTRs2NDOo89z7bXX2l4xer+nn366Oeuss0yjRo3sdKQWiiBZ0D/uP/74w4wePdr07ds3FD/88INZsGCBN1fyuMqtGixH//C7detmu75NmzbNG5s/UARBfkYRhAhCUAQhghQUQZBo+bUIMn36dLuPULJkSW9M5p544glz4IEHmptvvtn89ddfdtykSZPMZZddZi688EK7r+O3detW07VrV1OwYEHTpUsXb+w+OvVGr79y5UpvzD4ZFUG6d+9ul6lRo4Y3xpjly5eb66+/3r5OpGKOii5apmfPnvY9ycKFC02FChXseJ0GFF7A0WcpUaKEKV26tDcGqY4iSAZ0kR5VBvWPSVXHSy65xDYWzzzzjLn//vvtPyJN0z/Qjh072upoPKgh0noHDhwY8Ty9e+65x05XFzfn77//Ns2aNTM1a9Y03377rTc2f6AIgvyMIggRhKAIQgQpKIIg0VKhCOLvJZGRpk2b2vlVVJg/f74dF48iyOLFi70x+2S3CKJe7t98840dd/DBB9t9rrvvvjsU2g/673//a6drP037a6IiSNmyZc1xxx1nhg8fbsf5qaeLiibqBaJltb/12WefmdmzZ9sD3kg9FEEi0Llx6iJVuHBh+489I7t377aVSv1jeuyxx8zSpUu9KcZWQXUlZPeP008XAvrnn3/SnYOn+f/8809TpUoVu7733nvPNmYqAuhCQXotiVQE0frUG0Tn+LnubH5uuqq86tWix2XLlkVsIPVaahDWrVtnGwX1dtEyatC0HtH4JUuW2PeraXrU80Q0IhRBkJ9RBCGCEBRBiCAFRRAkWn4tgrjeENp/0WfMjIoeOu1F+xT+3hYTJ060RZALLrjAjBmT/t+giiCdO3fOsAjirgkSSxFEfv75ZzvumGOO8cZkTZ/9yiuvtL09hgwZ4o3NmPYvdCFXXTtFxZvff/+d64akGIogYVQEeOqpp+w/vgceeMAbmzEVOnQOmv7h68rHjm4BpXXUr1/fG7OPCiDqSeL+casY8dNPP9nz4kqVKhVaTufdffjhh/YUF1eAiFQEUSFCxRidM6ceJM6mTZtsMUXzn3baafYKzGq0GjdubAsLGv/999+n+0f/+uuv28ZADaCu1Kzl1KDecsst9jxBVYi1rCqtrVu3tut79dVX7Tl2uhhTvFEEQX5GEYQIQlAEIYIUFEGQaPm1CCLaJ1CxQTm+enOooKB9Gx3cXL9+vS1+qAeIelkccsghZtCgQen2A3RA151uUrt2bXsQVb3dtd6HH37Yjj/yyCMjFkF0AFnTv/rqK/uaq1atCh0gjaYIouX0WipQ1KlTx753vQeF7nyj5506dTKrV6/2lsi6CLJt2zZ7YFoXbVUxR6EDvdq/0fcQvj+E/I8iSBj1yFCvjkKFCtl/YFlRbw4VC/QP+PPPP/fGRlcE8bvpppvscv379w8VPvwyKoLccMMN6Yog+kfetm1bO68KG6JiiwvR/Jo+Y8YM+1x0rRE1jNWrV7c9UfzU8KjwoWVUSBH1UElko0ERBPkZRRAiCEERhAhSUARBouXnIoij62qo14YOkmqfRr03dOFS7X9oH0X7Ipnl7zq9XhclVc6voocKI1OnTrVFEx34jdRTXgdfdYqKbsGr5VTwcL3eJ0yYYA/03njjjbYHudO7d28771133eWNSaP3poKM9mEuv/xye+0ShQopKozooKx/P0kFEf1Nzz77bDNq1Chv7D66QKt62+viqno97evou3juuefs+0bqoQgSxhVB9A9E555lRd3G9A9S/6j83cZyuwiiiqiuY6J5swp/sUNFEFVeGzRokK7C6qiAokZQjZUaVC1/6qmn2oY2ESiCID+jCEIEISiCEEEKiiBItFQoggDIHEWQCFRU0M69dr5V8cyIumPpCsSat127dumKFs8//7wdr+5c4X777Td7D+9jjz3WG7NPrVq17HIDBgyIqQii+4LrIq6qmr799tt2XHZkVQTxU5VW1yBRtVjv6aSTTvKmxA9FEORnFEGIIARFECJIQREEiUYRBABFkAzoPDF3pxbdHUb3nVavDhUH1LXslFNOsdN0hWL1Bgmnrl46v03z6Joh6rql+1qrS5m6YOmcNV1XI5y6l2kZzffggw/aRrpPnz6hC56qd4qmZ+eaICpiPPnkk3Z+3bNbXco+/fRT2/VM61ERpnnz5uluZaV5MiqCqAeLuo2pF4iKPr169bKn3LhzAHUNk3ijCIL8jCIIEYSgCEIEKSiCINEoggCgCJIFnSemW9Dqop+6VZRCFwjVBVF1gaHM6NQRFVPGjx9vl9PFT3VXFt36Vqeg6Hy2SHSnFc07evRo++i/O8ycOXPseM3j6OI+KoRoXvUACadreWi63rcu/PPdd9/Z3ii62FE4rVfn7ekzu2uHOLq4kZbR6TBah9alU4C0br1GIlAEQX5GEYQIQlAEIYIUFEGQaBRBAFAEQaBRBEF+RhGECEJQBCGCFBRBkGgUQQBQBEGgUQRBfkYRhAhCUAQhghQUQZBoFEEAUARBoFEEQX5GEYQIQlAEIYIUFEGQaIkqgrgbzm7cst1MmPaP6T1smuk+4EczcsJfZtHS/U9Xz8z8f9eYbyf+ZXoM+Mn0GjrVTPjlH7Np73ol4xvbZu7Pf1aY4eP+MB9/Mcn0HfGr+XnmQrNrV9rp9tmxe88e8/OMxWbAt9PNx/0mmq9+mGVm710nkBdRBEGgUQRBfkYRhAhCUAQhghQUQZBoiSqCrN+0zXTq95OpUq+XubLuIFO56femyuPjzFUNhpnyj/Qx9V8ZbOYvybwYsuDfteax1l+Zq+r0sctp+cpNR9v1VajzmWnf+0ezbtNWb+7s+WPecnPPM1+YcnX6masbjjBVW4w3FRuPMmXrDDRV6n9q+o2cYbZs2+HNvb9t23eYr374w1zb8LO9y3xpl9U6Kuxdl9ZZu0VfM332Ut020lsCCD6KIAg0iiDIzyiCEEEIiiBEkIIiCBItEUWQteu3mKffHWZK3fU/U63FhL0xfr+4uuFIc9UDnczcBau8pdKbs3ClqfRwZ3NVg69N1Rbj9lu+essJe9f/qXnirSFm7YYt3lIZ2717j5k6a7H5b+0PTKWmP5iqj++/zmp713nOzV3MB73Gm81btnlL7rN56w7zcf+f9s7TyVTdO2/48lpn1eZjzPk3v29+mr7A7Nr7mkBeQBEEgUYRBPkZRRAiCEERhAhSUARBoiWiCNJz4M+mQt3PTcXG39nCQnixwBYMmo8xFRt8ZR7+vy+8pdKr++IAU+HRwaby3vkiLa/1Vmrynbl67+t89MWP3lIZ275jp6n9eC9ToeGwyAUQb50VGo0yFet+Zr6ZONtbch+d1lOp7qfm6kbfZvy59q67QsPhplbjT82GTfsXUoAgoggCa8fOXabv17+Zh/5vgLmodntT5q5OtjveDz//bSvJ2bF67WbzRrex5qbmvczZN75rqtXraV7p9J3t+pfTurBuv1ukSBGzfPly888//xBEvokVyxabGx7tbOq9/ztFECJXgyIIEaRQEeSaZkPMa+0Hm5V728lI7SdB5DRWrlxpXnjhBVOtWjUv04yPNz4eZS6861NTreWkiIUCRdXHx5uKTUaZCvd38JZKr9JDHU3Fx76180Va3sbe9V9492fmlY4jvaUytnXbTnPRLe+aqs3HZVwE2RvV967zP7d0Mf2+/sVbcp/hY2eZc2p1tPNEWlZhe4PsfTyv1rvZ6qECBAFFEJjOfSea6x7rZSo3VpV3YqhRq/7EJHNlvSGmZpNe5qvvZ3pz72/T5m3mybeHmQp1e3lVYlcpnmDXUeb+3qbeywPNgiVrvCWyTz1BDj/8cO8ZkL/UbtaTniBErgdFECJIoSJI1SaDTec+E7yWEoivTp06xb0nyGdDpprK9fuaCo+NyrDHhHp4VHh0kGn46iBvqfQatx5op2fWE6TCY9+ayo/2NT0G/uwtlTH1BLnnqT571zk0wyKITrG5usEIU+3R3ub7n+Z6S+7z468LzDUNe9lTeTRvpHVo3Vc9OsTc0bIPPUGQZ1AESXE9B04xNzbrZyo33dtoRzqHseVEU/7RYebOpwaYbyf85S21z4ZNW83LH44ylfY2/BmdA6l1lH3kC/PE2yPMwqXRFUI4HQb5GafDEEEIiiBEkILTYZBoibow6usffWvOv61bxOt5aNxVDYaayg93NJu2Ri4UbN623VSv23lv3j0kw3WUuqO7eaXjCG+JzO3Zs8csW73BXFy7nancZFTEQkjVx8eac27qYHoNneIttb9B380wZ9f8wM67//K6cOt3ptTN75iFy9ZybVTkGRRBUtyDz/YxVz/6lanafP+GLS0mmCp7G70rHu5nXu7wrbfUPstXbTTl7utiKu1tXCMvr5hgKjcbbS69u6v56bcF3pLZQxEE+RlFECIIQRGECFJQBEGiJaoIIiMnzDE3Nu5lLn+gl6n42DemcvPRply9L81VD/c0z72/fx4dyesf/2AqPPKJKVdngM2fKzb+1lzx0Oem2qOfmkHfz/Lmyh4VQnbs2GUef3O4KfdgT1O+/iBTpdkYU+Gxr81l939mbtj7Xif/vtibO2Oz5i03dzzZ15S5/3+mQsOvTZXmY+z+Q9kHPjGPvDjQbNm6w74WkFdQBElx9zzRy1xVf6g9XzByAWO8LYJc9lA/83/vf+0ttc+yVRvNZXd1NJWb/hBxWReVHx9jLry9i5n463xvyeyhCIL8jCIIEYSgCEIEKSiCINESWQSRXbt3m3Ubt5rlqzeYpSvXm9XrN5ut2zO+BW0k27bvNGv2Lqfll6/eaNZu2Gp27trtTc0ZFSpWrdM6N5gVqzeZ9Xvf4+4oChd79v63cdM2s2LNJruOVWs3mU1btntTgbyFIkiKe//T8aZ6o36mcpPRkc9hbDnRXN1ohKnVrL/5YuR0b6l91u1tlJu3GWauqtd/7/yRT4epvncd5eoNNI+8OMjMmb/SWzJ7KIIgP6MIQgQhKIIQQQqKIEi0RBdBAAQfRRCYVzt+Y2+Npdtu6UKmacUMXdT0R1P+0a9NpXr/Mz0HTfbm3t+6DVvMfU/3MVc+0tdePTp04aS9j1rH5Q/3Nzc1/cz8NX+5t0T2UQRBfkYRhAhCUAQhghQUQZBoFEEAUASBpdvYvvPJOFOzWR9T6raPzH/v6m5ubdnPdPlislmxaqM3V+Ymz1hoWr493FSq95n5zy2dTbmH/mfqvDzIjBg/2+zcmbMufBRBkJ9RBCGCEBRBiCAFRRAkGkUQABRBEGgUQZCfUQQhghAUQYggBUUQJBpFEAAUQRBoFEGQn1EEIYIQFEGIIAVFECQaRRAAFEEQaBRBkJ9RBCGCEBRBiCAFRRAkGkUQABRBEGgUQZCfUQQhghAUQYggBUUQJBpFEAAUQRBoFEGQn1EEIYIQFEGIIAVFECQaRRAAFEEQaBRBkJ9RBCGCEBRBiCAFRRAkGkUQABRBEGgUQZCfUQQhghAUQYggBUUQJBpFEAAUQRBoFEGQn1EEIYIQFEGIIAVFECQaRRAAFEEQaBRBkJ9RBCGCEBRBiCAFRRAkGkUQABRBEGgUQZCfUQQhghAUQYggBUUQJBpFEAAUQRBoFEGQn1EEIYIQFEGIIAVFECQaRRAAFEEQaBRBkJ9RBCGCEBRBiCAFRRAkGkUQABRBEGgUQZCfUQQhghAUQYggBUUQJBpFEAAUQRBoFEGQn1EEIYIQFEGIIAVFECQaRRAAFEEQaBRBkJ9RBCGCEBRBiCAFRRAkGkUQABRBEGgUQZCfUQQhghAUQYggBUUQJBpFEAAUQRBoFEGQn1EEIYIQFEGIIAVFECSaiiBVqlTxngFIRRRBEGgqghx++OHeMyB/oQhCBCEoghBBCoogSKQ9e/Z4Q+mHAaQWiiAAkEsoghBBCIogRJCCIggAINEoggBALqEIQgQhKIIQQQqKIACARKMIAgC5hCIIEYSgCEIEKSiCAAASjSIIAOQSiiBEEIIiCBGkoAgCAEg0iiAAkEsoghBBCIogRJCCIggAINEoggBALqEIQgQhKIIQQQqKIACARKMIAgC5hCIIEYSgCEIEKSiCAAASjSIIAOQSiiBEEIIiCBGkoAgCAEg0iiAAkEsoghBBCIogRJCCIggAINEoggBALqEIQgQhKIIQQQqKIACARKMIgkxt377d/PXXX+a7774z48aNM3///bc3JXObN282P/30k/nhhx/MhAkT7HNn9+7d5ptvvjHvvvuumTRpktmzZ483JWeGDh1q3nrrLfPbb7+ZHTt2eGOB4KMIQgQhKIIQQQqKIACARKMIgkxNnTrVVKlSxRQoUMAUKlTInHjiiaZPnz7e1MhU5KhQoYIpVqyYOeCAA+yyU6ZM8aYas23bNvPMM8+YM88807Rr1y7mwkWzZs3MGWecYbp162Y2bdrkjQWCjyIIEYSgCEIEKSiCIBl0AE75565du7wxAFIJRRBkatq0aebqq682F154oWndurUpXbq0LTjMmDHDm2Mf/aAoHnroIVv4UA+Q448/3g6rmOK3fv16s3Tp0nRFC/0QrVu3zqxcudLs3LnT9kJZvXq1WbZsmQ0to3nCe45s2LDBTt+yZYstwIge16xZY5fXulR4WbVqlX3NFStWmI0bN4bm1Y/g2rVrQ6+j9bnP4udeR71awqdpHXothf8HVeOXL19u37uW0evqudajefW+HK1Xn13vUe9169at+70O8heKIEQQgiIIEaSgCJL3KO8ZM2aMzffcQTP1BM6qwKDpDRs2DC1355132twn0fQar776qn3N//znPzbvApBaKIIgU64IcvbZZ9tTYr7++mv7o3HeeefZ4oKffsw++OADO/3999+3404++WT7PLwI4golrVq18sYYM3v2bHPTTTeZEiVKmNq1a9vpp556qrnhhhvM0UcfbZ+ffvrptojgLw48/PDDdlr79u1Dp90sWbLE9mDRj9tll11mp6vnSaVKlUzRokXtcxV2XnrpJTt80kknmRtvvNG+tp5fcMEFtqji17hxYzutbdu2+/U4UU+XsmXLmooVK9rXdnRKkJbRe9B3VrBgQVO+fHk77HrJvP3226HvqXLlyubyyy83RYoUsc91mk+sPWUQXBRBiCAERRAiSEERJO/RQav+/fvbvOW6666zOaOGf/3119ABp0iUvx122GG297B6GtesWdMeJAKARKMIgky5IshZZ51lRo0aZcd16tTJ/rjVqFHDPhcVQAYPHmzH60fNFRBUXNC47BZBbr75ZnPwwQebl19+2Y5zxQ5V7VUQ0DJvvPFGugLMI488Ysd/+OGH6Yog11xzjR3fpk0bO86ZN2+ePdqggsTTTz9tx7nXUc+MunXr2uXee+89+8Pu5KQIMnnyZLuMesTo8zl6vfHjx9vPeswxx5jp06enSxS03Pnnn2+/dxWfkD9RBCGCEBRBiCAFRZC8x18EqVWrlr2WnA706ACPetFGotOiXU718ccfmyOPPDJiEUQ9aTt27GjKlStn5z/ooINsfqTryqnXrMvf+vXrZw+Y6QCXXt+vd+/e5rjjjrN54R9//GHHuZxVB8Ac5XbKGQ855BDz448/mokTJ9oDV8oX9f7uvfdeM2fOHDuvekTff//9toij93TLLbfYok+4kSNH2tfRQbhwyp2vv/56O109oR3lkcr/tP5Zs2bZg3ynnHKKne/cc881HTp0sPPre//yyy9D340+/2uvvZaU3jRAXkcRBJnyF0F0MVPRKRstW7a0P3DPPfecHffnn3/a55rX3/hGWwTRj+exxx5rG3U/FT1GjBhhl1HxxV+cyKgIUrVqVXtdkr59+9pxjvuRO/TQQ83nn3/ujU2jXhevv/66Xd8rr7yS7nSVWIog6tESiX5otZy+U78FCxaYK664wn4Xw4YN88Yiv6EIQgQhKIIQQQqKIHmPvwiiHr3SvXt3mxeqZ68KGX6ffPKJLSo89thjdtnPPvvMFhPCiyAqQpQpU8b2QlZ+p5xMB9lmzpxpCyxav4oE7iDSzz//bEqWLGnfh4oPojxVz+vVqxfKEUVFE42/6qqrvDHGnrLsijMqfNx99922aKLxyvOKFy9upyluvfVWe0F+5afKcZX/abxySD9XBLnooou8MfuoCHLttdfa6f4iiPLhc845x47Xa6p3tQo+yj31eQ488EA7TZ9V71fTtLyu2afxyh2VRwLIGEUQZCpSEUTUm0LVcZ1aotM5VGHXD5h+KPynquS0CDJgwABvbBp/EaR69epRFUHCL+Sa0yKIO29V10bR5/RTbw2dqqPTWSiCILsoghBBCIogRJCCIkjeE6kIIu7gkfIqlzcpXzrhhBPsaTM6gCY9evSIWATxUx7Zs2dP8+mnn9oCi3qDaN3KDf29g1UM0GnFKmIcfvjhttjy0UcfeVP3yagIoh7CKq6o13E49UjRelWUCD9lunPnzrZ372233WavPefktAii6++p0KMeKX46Jfyee+4xp512WqjQ46gY0qhRI3tNFvXaBpAxiiDIlL8IEt7YqvquHxc13qpK++8A4+gcT00PL4I8+OCDdry67TnqvqgfQO3468fUz18EqVatWroiiCuo+K8JsnjxYlsE0fuLtgiiIofWp1Ny/EWQuXPn2m6ImqbCRfPmzc1dd91lK/F6HRU01NUyUhFE3RgjyagIMn/+fPsjrlNldAtg5E8UQYggBEUQIkhBESTvyagIIq6HhPItnfqrPEqha6Y5Km5EKoLoNGwdTFNeqHxRB4XGjh1rx7vrvYUXQURFAnctORVCVPAIl1UR5J133vHG7qO7EBYuXNgWQ8KLIDqlRwcG1fNFhQonsyKIDhpGOh3GFUF0cE15pJ8KHTpNRte5Cz9dWtOaNGliCzU6ZQZAxiiCIFM6l1PXrvj222/t3Uz8VMH+559/bK+NSOdBin6oNF13X/HT/PoBcudWigoY6so4fPjwdD8goq6OGqd16QfBf/0MnZepH18VDtx4FTN0dxqt699//7XjHE1TwUXngy5cuNAbm0bLq5eLXkdFD31GP01XN8whQ4bY4oq+F/1g64dT3TZ1dXT/6UC6Q43WldF1PQYNGmSvoO4vtogSCo3Xj7v/iALyF4ogRBCCIggRpKAIkvdkVgTRqTC6LpqKEUcddZS98Lu/Z7FEKoLoji0NGjSw19vw9xoWTVNPCL2evwiiU1dKlSpliybKu3SASe9H8+k0En9+lqwiiHI5vY56v4wePdobm/a9qKeMeo9oOkUQILkoggBALqEIQgQhKIIQQQqKIHmPDi7pgI925lXICKdTOtzOvool/tOmRafDaJpOd9aOvKODUrpYvU65Vo9j7firB4juJqOeuFpGB6VEhQk9L126tPn999/tONFrPf/883aarimnA2ainikap1OPHVcE0XhdHD+cuzGALsrqv76IqAiiaerZ4T9oqINpKmTo9B9NVxxxxBG2WKP1qDewxvkPFupzqyeLCifhRRAVdnQ9Ek1XAchPr+tOQeJ0GCBzFEEAIJdQBCGCEBRBiCAFRZDUEl4QibdI6w8fF+t7SPRnyExuvjaQl1EEAYBcQhGECEJQBCGCFBRBAACJRhEEAHLJLU26m/rtZ9mkX4UQgsiNeG3wFtO0wy+mYKHC5vVhOyPOQxDJijbDtpnqzYZQBAEAJAxFEADIJc+2+9rc3Li7qd20h7mNIHIteppbHutsrr2rpbmt2ScRphNE8qJ20+7mhgbdzIBvZ3gtJQAA8UURBAAAAAAApASKIAAAAAAAICVQBAEAAAAAACmBIggAAAAAAEgJFEEAAAAAAEBKoAgCAAAAAABSAkUQAAAAAACQEiiCAAAAAACAlEARBAAAAAAApASKIAAAAAAAICVQBAEAAAAAACmBIggAAAAAAEgJFEEAAAAAAEBKoAgCAAAAAABSAkUQAAAAAACQEiiCAACADP3666/myCOPNI0bNzarVq3yxho7PHnyZPPvv/96YwAAAIKPIggAREk7hTfccIMpUKCAjWOOOcZUqFDBlC5d2hxwwAF2XIkSJcyrr77qLRFZ27ZtzXHHHRdaT7du3bwpSAXLly83t912W+jvf8opp5hPPvnEmxrZjh07zAcffBDazhQDBgww27dv9+aIv19++cUcdthhplGjRmblypXeWGMef/xx+/p33XWXWbx4sTcWAAAg2CiCAEAUXn/9dbvjV7ZsWTNx4kSzZ88eb8o+2lF844037HznnHOO2bBhQ7r56tevb4444gjz0ksvmfXr15trrrnGztu9e3dvDqSCZcuWmZo1a5pjjz3WNGjQwFSqVMmce+65Zvz48d4c6akA8tVXX9lt5cknnwwV4vr375/QIoiKfuFFkEjbPZBdKgBr21UUL17cXHvttTY07Mbrub/nkTNs2LDQPGXKlNlvuc8//9ybEwCAyCiCAEA2aWfz5JNPtjuqI0eO9MZGtnnzZnPffffZpFyFk507d3pTjNm0aVO6ncgaNWrY+SiCpBZXBDn88MNNnz59zNdff20OOeQQc/XVV5ulS5d6c6XR9vLbb7+Zgw46yPY6UtHjpptusttNpCLI888/b3cMTzvtNHPzzTebW2+91RbkVHxTMWPjxo3enGnUk+OWW24xhx56qF3nmWeead+Xejndcccd5sADD7Snw/h7griC4KOPPmrWrl1rx2m9HTp0sP9OTjrpJPu66iminVWt48orrzTz5s2z8zrt27e363nqqafsfEWKFDGnnnqq/awaf/7555uBAwd6cyMv+/vvv+3fVJFZsUKFNzffuHHjvLGZ8y+jYQAAMkIRBACyqXPnznYHrXbt2nYHNjNbtmyxPT2UkFevXt0exc8IRZDU5Iog6mXhToNxBQEVLvwWLlxoixrqNeIKGJGKICqWqGdR4cKFbWEl3ODBg03RokVtrxNto7JgwQJzwQUX2AJM+DI6Zad58+b29JvwIkibNm1soUK9WFavXm3H6b3NnDnT7uyG6927t32/d999tzcmjT6zXluFFxUX/QXDvn37mpIlS5qqVauaGTNmeGORV6nXhrYB9QTJiookmlfbRXa4+fXvBACAzFAEAYBs6tixoy2CqKgxa9Ysb2xk6u2hnUcl5Try7t+xC0cRJDX5iyA9e/a049asWWOeeOIJuz00bdrUjtMpAZdffrntmaECgxOpCKLeJNpp1HgVD04//XTbG0RxxhlnhE4bUO8Kdx2PH3/80Y5TgSWS6dOn29cOvyZIpCKIqGDz5ptvmipVqtjXUa8OxdFHH217g6h3iJ+KIFpPy5YtQz1KHPWI0Xp07RwVcJC3aTtTZKd3h+Zx84fTNHcKjdve1YtIp8oAAJAViiAAkE1z5swJXb8jq4uejh071hQqVMju4M6dOzfTayhQBElNkYogMnv2bLtzpzuyvPzyy6Zu3bq2SPDFF194c6SJVARRD4zzzjvPFkCmTZtmx2VFBT2tRxfzjdRjSdcoUe+R7BRBvvzyS1swUfHjp59+suOcESNG2NeJVAQpWLCgLRqGF0GWLFliKleubIs3/fr188Yir9LfXxFrESScih+ul0l21w8ASF0UQQAgCroug66doERb1z1Qt25drHLUqFH2KLx26CpWrGina8dt6tSp3pL7/PPPP+b777+3Xf8nTZpkj2Bqfh0J1w7n8OHD7Y4w8jf1cnBFkB49enhj02g7O+GEE+x2oWKaLoQarlatWna6iiP+a4J06tTJFiJ0iouuz6FiiAp4usuLThl49tln092FRhfnVbFF6zr77LNNly5dzDfffGPn0Y6l1qVpTZo02e+aIOFFEP1b0HVEjj/+ePPxxx+bv/76y16fQXe00bV0tJ7wIoimqQjSrFmzDIsgxYoVowiSDzRs2NBuA3feeac3JmOuqPHcc895Y7Lmv+AqAAAZ4VcCAHJAFz4dMmSIefrpp+3OqK5ZoB3aF154wXbb11HvSy+91CbjKpaowOEKG59++qm95kO1atXsqTXXX3+9ufHGG22PED0vV64ct8tNAbomh3pT3HPPPRGPXE+ePNkW1HQr2kjatWtntxkVOXbt2uWN3eeHH36wFxvVtnXVVVfZ4l2rVq3Mzz//7M2R3qJFi+z70TrV40k9M3QdDp2io51WnQ6mgokzdOhQW9BQsWPbtm3eWGMLIpr39ttvtwUMXQNEBZX58+fb6+noPfipIKh/Q7pmiP5d+WldzzzzjHnwwQft94G8zxU3VCSOdPqKrr3kTtuKdO0QTVMxL/zOMf67xmTnmiMAgNRFEQQAEky9Ox555BF7hH3r1q3eWABIXSpkqLjmCh4KXd9DPT9U0HDX+tB0FTVc0UOPeu4//UWhdWmdAABkhSIIAAAAAkm9pHQajYohAADEA0UQAAAAAACQEiiCAAAAAACAlEARBAAAAAAApASKIAAAAAAAICVQBAEAAAAAACmBIggAAAAAAEgJFEEAAAAAAEBKoAgCAAAAAABSAkUQAAAAAACQEiiCAAAAAACAlEARBAAAAAAApASKIAAAAAAAICVQBAEAAAAAACmBIggAAAAAAEgJFEEAAAAAAEBKoAgCAAAAAABSAkUQAAAAAACQEiiCAAAAAACAlEARBAAAAAAApASKIAAAAAAAICVQBAEAAAAAACmBIggAAAAAAEgJFEEAAAAAAEBKoAgCAAAAAABSAkUQAAAAAACQEiiCAAAAAACAlEARBAAAAAAApABj/h+XbnJHVp2GfwAAAABJRU5ErkJggg==\n",
"text/plain": [
"<IPython.core.display.Image object>"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from IPython.display import Image\n",
"Image('/content/drive/MyDrive/Python Course/boxplot.png')\n",
"#Image('/location on your computer/boxplot.png')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 411
},
"id": "0KpRGUH15IuU",
"outputId": "afe26620-0375-43f1-f413-1ceb66906838"
},
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
],
"source": [
"# creating a boxplot with seaborn\n",
"sns.boxplot(data=df, x='curb_weight');"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "EKK6WXds9hWw"
},
"source": [
"**Let's see how we can customize a boxplot.**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 295
},
"id": "-mQ93PiW9m0r",
"outputId": "ed670709-fffa-4fc2-ce92-64f016c50708"
},
"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"
}
],
"source": [
"plt.title('Boxplot:Horsepower')\n",
"plt.xlim(30,300)\n",
"plt.xlabel('Horsepower')\n",
"sns.axes_style('whitegrid')\n",
"sns.boxplot(data=df, x='horsepower',color='green');"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "0gNIxAvL-tJ-"
},
"source": [
"- In a boxplot, when the median is closer to the left of the box and the whisker is shorter on the left end of the box, we say that the distribution is **positively skewed (skewed right)**.\n",
"- Similarly, when the median is closer to the right of the box and the whisker is shorter on the right end of the box, we say that the distribution is **negatively skewed (skewed left)**."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "rh73sV5iBdnB",
"outputId": "5265e301-c10c-4c33-ed9c-35bb60123217"
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<IPython.core.display.Image object>"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from IPython.display import Image\n",
"Image('/content/drive/MyDrive/skew_box.png')\n",
"#Image('/location on your computer/skew_box.png')"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "8eLH2ULT5vo9"
},
"source": [
"**For example,**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "-5Ta38rV5IuU",
"outputId": "b2e5af65-5ad6-4c8c-a49d-b1590244c9cd"
},
"outputs": [
{
"data": {
"image/png": 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ke5+7/5ikHZLOK/spxJfc/RZlH77yS2Z2fZVPAmiGAEa/+6a7/1vaflDZjy1LWdA2erOk59z9a5Lk7i979lGHPy3pjvTxjY8p+9HrH+5p1UAHBlc/BAjV+CJFff9/uujDJE26+5fKKQkoB3fA6Hc/YGbvSNsflvSvbY59StI2M7tFktL676CkL0nanT7yUmb2JjN7XS+LBjpBAKPfPaXsA/9PK/sYwE+3OtCzX1XzQUlTZvakst9gcZWyX0VzStLjZnZS0p+K7/7QB3gbGvpW+vVEX3T3t0XXAvQCd8AAEIQ7YAAIwh0wAAQhgAEgCAEMAEEIYAAIQgADQJD/A/mDr+FdLJcvAAAAAElFTkSuQmCC\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"sns.boxplot(data=df, x='price');"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "rP4KARhjBnn4"
},
"source": [
"From the above plot, we can see that the distribution of `price` is positively skewed."
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "WV0AVUY1Ho5q"
},
"source": [
"**Let's see how we can compare groups with boxplots.**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "qsuosVXAIBjO",
"outputId": "ca04fc4e-a296-4b86-e6a4-2eff2a521b6c"
},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"sns.boxplot(data=df, x='body_style', y='price') ;"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "HNwpY-9ceYnw"
},
"source": [
"**Though boxplot visually summarizes variation in large datasets, it is unable to show multimodality and clusters.**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "s6w1YYNaeYnw",
"outputId": "5089bb20-339e-4ef3-d15e-14218d1c2886"
},
"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"
}
],
"source": [
"sns.boxplot(data=df, x='bore');"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "exW4UuCReYnw"
},
"source": [
"- From the above boxplot we can not tell if the data is bimodal or not, but it is clearly visible in the following histogram."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "7w7iE4BVeYnw",
"outputId": "0826f0e3-6a93-469b-a4e5-107e3ece7217"
},
"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"
}
],
"source": [
"sns.histplot(data=df, x='bore',kde = True);"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "iVf003Gs5IuV"
},
"source": [
"## Bar Graph\n",
"\n",
"- A bar graph is generally used to show the counts of observations in each bin (or level or group) of categorical variable using bars.\n",
"- We can use the *countplot()* function of seaborn to plot a bar graph."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 449
},
"id": "dVO4Q56f5IuV",
"outputId": "188863e0-7638-4cd3-a341-df1642b78371"
},
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
],
"source": [
"sns.countplot(data=df, x='body_style');"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "4n0v6DcQ5IuV"
},
"source": [
"**We can also make the plot more granular by specifying the *hue* parameter to display counts for subgroups.**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 280
},
"id": "xTHnIIKy5IuV",
"outputId": "f5508c7a-0eab-4a30-d4b1-72dbb0dd67dd"
},
"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"
}
],
"source": [
"sns.countplot(data=df, x='body_style', hue='fuel_type');"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "vmDOlVCT5IuV"
},
"source": [
"**Let's check out the bar graphs for a few more attributes in the data.**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 279
},
"id": "qHcjy0Fv5IuV",
"outputId": "1cdb5108-64a7-4705-cb6c-bc2f0831277a"
},
"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"
}
],
"source": [
"sns.countplot(data=df, x='make');"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "HkLgJzv75IuW"
},
"source": [
"- This plot looks a little messy and congested.\n",
"- Let's increase the size of the plot to make it look better."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 442
},
"id": "DUhQ71Xc5IuW",
"outputId": "a6a65756-9600-4e30-cc9e-65413d030992"
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1440x504 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(20,7))\n",
"sns.countplot(data=df, x='make');"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "yVK2igls5IuW"
},
"source": [
"- Some of the tick marks on the x-axis are overlapping with each other.\n",
"- Let's rotate the tick marks to make it look better."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 544
},
"id": "hGSTXceH5IuW",
"outputId": "244f55a5-9819-40a9-ef54-5e92d4c89d36"
},
"outputs": [
{
"data": {
"text/plain": [
"(array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16,\n",
" 17, 18, 19, 20, 21]),\n",
" [Text(0, 0, 'alfa-romero'),\n",
" Text(1, 0, 'audi'),\n",
" Text(2, 0, 'bmw'),\n",
" Text(3, 0, 'chevrolet'),\n",
" Text(4, 0, 'dodge'),\n",
" Text(5, 0, 'honda'),\n",
" Text(6, 0, 'isuzu'),\n",
" Text(7, 0, 'jaguar'),\n",
" Text(8, 0, 'mazda'),\n",
" Text(9, 0, 'mercedes-benz'),\n",
" Text(10, 0, 'mercury'),\n",
" Text(11, 0, 'mitsubishi'),\n",
" Text(12, 0, 'nissan'),\n",
" Text(13, 0, 'peugot'),\n",
" Text(14, 0, 'plymouth'),\n",
" Text(15, 0, 'porsche'),\n",
" Text(16, 0, 'renault'),\n",
" Text(17, 0, 'saab'),\n",
" Text(18, 0, 'subaru'),\n",
" Text(19, 0, 'toyota'),\n",
" Text(20, 0, 'volkswagen'),\n",
" Text(21, 0, 'volvo')])"
]
},
"execution_count": 32,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1440x504 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(20,7))\n",
"sns.countplot(data=df, x='make')\n",
"plt.xticks(rotation=90)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "Ea22q-uo5IuW"
},
"source": [
"- A lot of plot-specific text has shown up in the output.\n",
"- Let's see how we can get rid of those."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 509
},
"id": "fSHdavFm5IuW",
"outputId": "ebd1b8be-cb26-4c3f-b205-912538f4d449"
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1440x504 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(20,7))\n",
"sns.countplot(data=df, x='make')\n",
"plt.xticks(rotation=90)\n",
"plt.show() # this will ensure that the plot is displayed without the text"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "kkLBjFcbEgtg"
},
"source": [
"**Here are some common ways to customize a barplot.**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 458
},
"id": "4q223RFD5IuW",
"outputId": "5bd7aae9-45fb-4b3a-9ae7-ea38f127d103"
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 720x504 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(10,7))\n",
"plt.title('Barplot:Engine-type')\n",
"plt.ylim(0,180)\n",
"sns.countplot(data=df, x='engine_type',hue='fuel_type')\n",
"plt.xlabel('Engine-type');"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "3y_u5xZv5IuW"
},
"source": [
"## Lineplot\n",
"\n",
"Suppose, your dataset has multiple y values for each x value. A lineplot is a great way to visualize this. This type of data often shows up when we have data that evolves over time, for example, when we have monthly data over several years. If we want to compare the individual months, then a line plot is a great option. This is sometimes called seasonality analysis.\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34
},
"id": "AVLSppnef9Ks",
"outputId": "428f1eed-a841-4b47-d64c-d6c7a62daac9"
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<IPython.core.display.Image object>"
]
},
"execution_count": 35,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from IPython.display import Image\n",
"Image('/content/drive/MyDrive/Python Course/Line_plot.png')\n",
"#Image('/location on your computer/Line_plot.png')"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "ddvSSLq9OxKy"
},
"source": [
"- A **line plot** uses straight lines to connect individual data points to display a trend or pattern in the data.\n",
" - For example, seasonal effects and large changes over time.\n",
"\n",
"- The *lineplot()* function of seaborn, by default, aggregates over multiple y values at each value of x and uses an estimate of the central tendency for the plot.\n",
"\n",
"- *lineplot()* assumes that you are most often trying to draw y as a function of x. So, by default, it sorts the data by the x values before plotting."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 281
},
"id": "PYEci6FO5IuW",
"outputId": "7e23cd46-4f04-4392-df81-a8ac1ad1ed3b"
},
"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"
}
],
"source": [
"# loading one of the example datasets available in seaborn\n",
"flights = sns.load_dataset(\"flights\")\n",
"\n",
"# creating a line plot\n",
"sns.lineplot(data = flights , x = 'month' , y = 'passengers');"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "MEfKsJUflDzJ"
},
"source": [
"- The light blue shaded area is actually the '**confidence interval**' of the y-value estimates for each x-axis value.\n",
"\n",
"- The **confidence interval** is a range of values around that estimate that are believed to contain the true value of that estimate with a certain probability."
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "Qta0NdaV5IuW"
},
"source": [
"**We can switch off the confidence intervals by setting the *ci* parameter to *'False'*.**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 279
},
"id": "QC4Bl2dz5IuW",
"outputId": "2a73cf9e-eab9-4b0a-9e74-58e97cd38337"
},
"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"
}
],
"source": [
"sns.lineplot(data = flights , x = 'month' , y = 'passengers', ci = False);"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "I5j3we4V5IuX"
},
"source": [
"**We can also check the relationship between two variables for different categories by specifying the *hue* parameter.**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 279
},
"id": "Cn-ki_Cb5IuX",
"outputId": "779a9a6d-30a4-4321-e213-9d67ec28893b"
},
"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"
}
],
"source": [
"sns.lineplot(data=flights,x = 'month' , y = 'passengers', ci = False ,hue='year');"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "AsHYYzFnrhh9"
},
"source": [
"**We can change the style of the lines by adding 'style' parameter to the function.**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 279
},
"id": "H2EvcdWB5IuX",
"outputId": "44c9d884-7d75-4969-e26e-747d46ba4442"
},
"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"
}
],
"source": [
"# loading one of the example datasets available in seaborn\n",
"fmri = sns.load_dataset(\"fmri\")\n",
"\n",
"# creating the line plot\n",
"sns.lineplot(data = fmri, x=\"timepoint\", y=\"signal\", hue=\"region\", style=\"region\", ci = False);"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "l2QreA4ls8pk"
},
"source": [
"**We can also add markers at each observation to identify groups in a better way.**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 279
},
"id": "eI-U5TIfsuXF",
"outputId": "ff8c1a4b-92dc-430a-bf2b-cf757c05492f"
},
"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"
}
],
"source": [
"sns.lineplot(data = fmri, x=\"timepoint\", y=\"signal\", hue=\"region\", style=\"region\", ci = False, markers = True);"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "LITD773h5IuX"
},
"source": [
"**Let's customize the lineplot for a better visualization.**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 442
},
"id": "QU06o0KM5IuX",
"outputId": "2f327e2e-3574-48ef-9cb6-931f1848a398"
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1080x504 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize = (15,7))\n",
"sns.lineplot(data = flights , x = 'month' , y = 'passengers', hue = 'year')\n",
"plt.ylabel('Number of Passengers')\n",
"plt.legend(bbox_to_anchor=[1, 1]); #another way to change the legend's location in the plot"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "CHjHKurcxv5K"
},
"source": [
"- Note that, unlike barplots and histograms, line plots may not include a zero baseline.\n",
"- We create a line chart is to emphasize changes in value, rather than the magnitude of the values themselves, and hence, a zero line is not meaningful."
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "2I1yAy1n5IuX"
},
"source": [
"## Scatterplot\n",
"\n",
"Sometimes we want to know if two variables mean something when put together, whether a small change in one variable affects the other variable. In such cases, plotting a **scatterplot**, or **scatter-diagram**, with our data points can help us to check whether there is a potential relationship between them."
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "cwreKVcrzwpH"
},
"source": [
"- A **scatterplot** is the simplest mode of a diagrammatic representation of two variables.\n",
"- It takes two perpendicular axes of coordinates, one for x and one for y.\n",
"- Unlike the lineplot, it directly plots each pair of values as a point on the 2D space.\n",
"- The *scatterplot()* function of seaborn can be used to make a scatterplot."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "Q7Y25sHm5IuX",
"outputId": "a9bfd002-6be8-411e-d85a-1895e1a82cef"
},
"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"
}
],
"source": [
"sns.scatterplot(data=df, x='engine_size', y='horsepower');"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "Y4BpkiMy5IuX"
},
"source": [
"**We can also check the relationship between two variables for different categories by specifying the *hue* parameter.**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "A--g5LGm5IuX",
"outputId": "278d1548-2caa-46f1-a566-f3f1037c6867"
},
"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"
}
],
"source": [
"sns.scatterplot(data=df, x='engine_size', y='horsepower', hue='fuel_type');"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "nt4Ou1mPKBqq"
},
"source": [
"**We can assign the same variable as *hue* to another parameter *style* which will vary the markers and create a more readable plot.**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "6nAcr_rQKQN9",
"outputId": "2385503f-b37b-43f3-c2a9-b39af54a1a8b"
},
"outputs": [
{
"data": {
"image/png": 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ALNu+JViHo+7COiT1OhfGJkSHIoL8mJQe7e4whOh1LksKWuufAdXO7mkOjtfAba6KRwghROfkiWYhhBB2khSEEELYSVIQQghhJ0lBCCGEnSQFIYQQdpIUhBBC2MkazUII0QMajWZ2FtdysNJAYnggw+NDqGkwseNwDU0mC8PiQkiJCnJ3mJ2SpCCEEN1kMlv4aM1B/vrJRrRtNrd/nJfFmgMVfLahCICYED/eun4SIxPD3Rhp56T5SIg+aEdRNZ+sLeCVn/bw5aZCCivbztwq+o69pXX8Y/Eme0IAeHjJNoa2WIa1tLaJV3/ei9Hct9fr7vROQSnlDdyhtX6mF+IRYsDbV1rLE19vZ+mWYnvZH08fzq1Th+Ln5+3GyER7yuubMJpbT/hstmjMunXZ2gOV1DeZCQ/su3+PdxqZ1toMXNELsQghgB2Ha1slBIAXvt/NxsIqN0UkOpMYHthmFt0Qfx/MRyWK88YkEBbQt1vtnU1XvyilnldKnaSUGt/8cmlkQgxQ1Q3GNmWNJgv1TbLyW1+VEhXES1eNZ1CYdRnWuFB//j17HKEB3vh6W6eAO2tkPDPHJ2OdQLrvcjZljbX9fKBFmQZO69FohBAMiQkmxN+H2kaTvWxUYhhp/WDkykB2/NAYFt02hdLaRqJD/BgUHsgJQ2M4a1QCRouFwVFBBPn17bsEcDIpaK1PdXUgQgir8alRPH/lOJ76ejvbi2qZMiya350yjJToYHeH1qMMjSYOVhkICfBhUFigu8PpEfHhAcSHB9jf+3p7MTSuf63F4VRSUErFA/8EErXW05VSI4HjtdavujQ60e8dqjRgNFtICA/Az0c6SZ11SmYcw2NDqDQ0MSg8gOiQgM4/1I9sLKhk7o97WLr1MKlRwdx1VianjYjFy6vvdsAOFM5+A28AXwHNaxTuAO50QTzCQ9Q2mnjvtwOc/eyPnPbUD/x90Sbyy2VYZVckRQUxKinC4xJCVX0TTy/dwacbCmkwWth+uIbfzVvD6v2V7g5N4HxSiNFaLwAsAFprEyC9XqJd6/MruefjjVQbTJgtmvmrCliQl48+aoieGHj2ldWzbHtJq7Ims4XdJbVuiki05GxSqFNKRWPtXEYpdRwg4+NEu9YdqGxT9uHqAsrrmno/GNGnBPp6txm+CRDs3/c7YQcCZ5PCn4DFwFCl1C/AW8DtLotK9HsJEW2bPIbHhfSL0RfCtTIGhfKnMzNalU1IjWBUYpibIhItOTv6aLVS6mQgE+u6y9u11m0HUwthk5sWRdagMLYWVQMQ4OvFH07PIFCeyBXAjLEJJEcGsre0nsggX7KTwhkS279G6XgqZ0cf/Qz8APwE/CIJQXRmcFQQr83JZUthNQajmeFxoWQOCu38g2JACA/057QR8e4OQzjg7L381cBJwEzgCaVUI/CT1vqPLotM9HsJEYEkRHjG+HMhBgpnm4/2KqUagCbb61Qgy5WBCSGE6H1OdTQrpXYDnwDxwKvAaK312S6MSwghhBs4O/roOeAA1tlS7wCuVUoNdVlUQggh3MKppKC1flZrfSlwOrAauA/rU81CCCE8iLOjj54CTgRCgOXAP7CORBIDTHldI4cqGwgJ8CHNwyZoE0I4P/poOfC41vqwK4MRfdu6AxU89uU2lu8pJykikL+eM4IzRg7Cz6d/TGJWXN3A/rJ6gvy9yRoUKpOvCeGAs6OPPlRKXaCUmmor+kFr/akL4xK9qMlkYUthFRV1RlKjgxw+RFRW28hDS7aSt68CgIOVBv7w/jrevXEyk9Kj2z232aLZW1pHTYORpIhA4sLcM7nbugMV3P/pFtbmVxLs582dp2dwyYQkIoP9HR5vMJrYeqiGmgYj6THBDJa7IjFAONt89AgwCZhnK7pDKXW81vqvLotM9IpKQyMLVhXw1Nc7aDRZSAwP4MlLx3DCsJhWxx0or7cnhGYmi2ZPSV27SaG+ycSCVfn8c8k2mswWkiMDeXH2eLKTI1xVHYdqDEae+24Xa/MrAahrMvPwkq0MjQt2+ABVcZWBN1fs5+Uf9mCyaNJjgnnikhxy06J6NW4h3MHZ++dzgTO01q9prV8DzgbOc11YordsLKjmn0u20WiyAHCoqoF/LN7MwYrW01wH+/sQFezX5vMRQW0nNmu2tbCa+z7dQpPZeu6CCgP/u2gTVYbefSD+UJWBH3eUtCnfX+p4Ku+1BVX8e9luTBbrjK57S+t4+usdVMhkfmIA6EqjakSL7fAejkO4SX65oU3ZruJaDlc3tCrLiA/lL2dn0nJ52Wkj4jqcxKygou251+dXUVbbeOwBH4PwIF+GOVj9KjqkbZIDOOQg7t/2lVNc0+DgaCE8i7MdzY8Aa5VSy7BOiDcVuNtlUYleMyisbZt6cmQgUSFty8/POTKJWVSwL6MSw0mJar+tPd5B/8HQ2OAO7y66orDKwKaDVVQZjAyLC2FkQrjDTu9BYYH8/bwRbCiopr7JjI+3F0G+XuQkO/7bJs7Bv8mohDCighwnESE8ibMdze8ppb4HJmJdU+EvWusiVwYmekd2Ujg3nJjGqz/vAyDYz5v7zh/lcLhpkL8vU4bFMmWYc+cemRDKLScP4aUf9gAQ6u/DIxdnE9VO525XFFU1cMd7a1ll6+dQCl66agJnjRrk8PhGk+aJr7ZjaxFiTHI45+YkOjw2Jzmci8cl8dHag4C1iewv00cQ66ZO8t6yZn8F6/IrMDRZyEkJZ3J6dL8ZWSZ6jnJ2JSyl1MVYn1XQwM9a649dGZgzcnNzdV5enrvD6Pcq6xrZUlhDWV0TaTFBZCdF9Ni56xtN7CqppbLeyODooE6fbTCaLazPr+SHHSUE+HgzNSPGYcf0t1sPc8Obrb/7QWEBfHr7FGJDW//yLq9r5KIXfmV/Wes+hLlXT+DMdpJIaU0jWwurqWowMjQ2mKwEz24xXb2/nBvfWm1fBMnHS/Hy1ROYliUzmXoipdRqrXWuo33Ojj56ARgGvGcrulkpdbrW+rYeilG4UUSwPycM6/5f744E+fuQ04XRRnn7ypn9n9/sf9H/a9lOFtx8fJtzVDvorC6uacBgtLQpNzSZKapq2x/g6BzNYkL9OS4gigaTmdBAz282Wr67rNWqeCaLZu6Pe5iYFknYAKi/OMLZPoXTgCxtu61QSr0JbHZZVGJAMpkt/OenvfaEANBgtLB0y+E2SWFYXAheilbHzhibSLyD/oC40AAuHp/MeysP2MuUwmHnc7Ofd5bw/qp8CioMnJeTwNThMWQM8tyVwRwtk1pW10Sj0QIy+/mA4myD4S5gcIv3KbYyIXqMRWuqG9r+9e6oLCshjFevnUhaTBC+3opLJyTzh2kZ+Pu0XdnN18eLW04ewhWTBuPrrUiJCuSVq3MZleS4SWjFnjJuens1n20oZF1+JQ99vpVP1h3qfgX7sOOHtn3WZNaEZI/vRxFtOXunEApsVUqtxNqnMAnIU0otBtBaX3D0B5RSr2F9lqFYaz3aVnYfcCPQPGj8r1rrJbZ99wA3AGbgDq31V8daKdE/+fl4c92UNHvncbOzHbT7+3h7ceqIOMakhFPfZCYu1B8/BwmhWWp0MA9cMIrbTh1KkK+3w9FVzXYcrqG+ydyq7O3l+7lgTCIjEjzzbmFyejTPXDaWF5btoq7RxJWTB3PmKOlPGIicTQr/OIZzvwE8D7x1VPkzWusnWxYopUYClwOjgETgG6VUhtbajBhQThoWy7+vHM/cH3cT6OfNrScPZfzgyHaPjwr2p4NRsa34+niRHBnU6XHeLR/GaPFZB8UeIyzQl4vGJTFlaDRNJgvJUZ3/OwnP5OyQ1B+UUqnAcK31N0qpQMBHa13TwWd+VEqlORnHDOB9rXUjsFcptQvr3chyJz8vPERooC/n5iRw6ohYvJQiwLf9v/5dJXNQKNHBfpS1aGe/eeoQMj24T6GZu+amEn2Hs6OPbgRuAqKAoUAy8BIw7Riu+Xul1DVAHvAnrXUFkASsaHFMga3MUSw32WJh8ODBjg4RHiDIz9mb2J6XmxbFv2eP44ftpRRUGDh1RCy5qe3frQjhSZz9n3cb1r/cfwPQWu9USsUdw/VeBB7E2i/xIPAUcH1XTqC1ngvMBetzCscQg+hnymob2FZUw6HKBgaFBZA5KJi4MNc2bxw3JIbjhsR0fqAQHsbZpNCotW5StkZVpZQP1l/sXdJyPQal1CvAZ7a3B7GOaGqWbCsTA1xDg5HPNhRx/6ebsWjrUNL/OSuTy3JTOuwsFkIcG2eHpP6glPorEKiUOgP4AOjyegpKqYQWby8CNtm2FwOXK6X8lVLpwHBgZVfPL/o3s0Wz8WAVH60p4OvNRRyqNLDhUDX/XLLV/jyC1vDk1zvYVtRud5YQohucvVO4G+tw0Y3AzcAS4D8dfUAp9R5wChCjlCoA7gVOUUqNxXqXsc92LrTWm5VSC4AtgAm4TUYe9Q8HyutZd6CC0tomRieGkZMSccydw7/uLmXO66sw2zLA6KQw/nLWCPu03s3MFk1xTe/OtCrEQOHs6CML8ArwilIqCkjWnUyapLW+wkHxqx0c/zDwsDPxiL7hYEU9N765iu2Ha+1l/7piHOePcTzRXEeq6pt46LMt9oQAsOlgNaW1jYQH+rZagyHQ15ukCBklI4QrONV8pJT6XikVZksIq7Emh2dcG5roi2objHyz9TB3vLeGZdtLWiUEgAc/20LJMaw7UG80c7Cy7ecajBYen5lDbKi1/yAq2I/HZmYzNtnzh4cK4Q7ONh+Fa62rlVL/Bbyltb5XKbXBlYGJvmnplsP8ccF6ANJi2j41VlHf1Ka5xxlxoQFcmpvM67/sa1WeMSiECalRJET4U1LTREyIH2NSZHioEK7ibFLwsXUSzwL+5sJ4RB9WXtfEM9/stL/38/bG11thNB9p8rly0mAGHcMDUN5eiuumpNNksrAgL5+YEH/+cf5IRida5yfKSZZEIERvcDYp3A98hXUdhVVKqSHAzk4+IzyM1hpLi66keb/t557pWSxed4iCynouzU3hysmD8fE+toVZBkcFcd8Fo7j1lKEE+HgTEypDToXobZ0mBaWUN5Citc5pLtNa7wFmujKw/ii/vB6D0UxiRAAh/j2z5GRfEh3iz+9PHcbdH20EoLCqgaeXbmfhLScQGexHbKg/qpsTBPl6Ozc/kRDCNTpNClprs1LqCkA6ltthaDKxeH0hD322hZpGE1OGRXP/BaM7nK+/vzp79CBC/H14d+UBkiMDuXLSYDL72cyhhiYT+8rqMVs0adFBhAR4XgIX4lg5tRynbaSRLzAfqGsu11qvcV1onesry3Gu3FvOrJdbz913Xk4CT80a43B+f09gsWi8vPrftKFFVQaeWbqDBasL0BqmjYjj3vNHMTha7k7EwNHRcpzONv6OxTqt9QNY5yt6Cniyow8MJPvK6tqUfbW5iFIPfsCqPyYEgF93lzE/z5oQAL7dVsznGwvdG5QQfYizD6+d6upA+rOYkLZr2A6PCyUkwH0zfQrHftpZ2qbsi02F3HBiWoeL9AgxUDj78Fq4UupppVSe7fWUUsrxWoYD0OjEcM7IOrJKlb+PF/eeP5JwWfC8zxk/OKJN2QlDoyUhCGHj7J+yr2GdvG6W7f3VwOvAxa4Iqr+JCwvg0ZnZXFeURnWDkaGxIR7ZyewJpmbEMi4lgrX5lQCkxwQzc0Kye4MSog9xtqN5ndZ6bGdlva2vdDSL/qWstpGdxbWYLZphsSHEh8s8SmJg6aij2dk7BYNS6kSt9c+2E04BDD0VoBC9KTrEn2hZi0EIh5xNCrcCb7boR6gArnVNSEIIIdzF2aSwFXgc6/rMEUAVcCEgk+IJIYQHcTYpLAIqgTXIMpliIKkvB2MDhCe23hbCQzmbFJK11me7NBIh+pr6ctiyCBqrYfQs2PmlbfsSCE9yd3RCuISzSeFXpVS21nqjS6MRohv2FNdyoLyekAAfchLD8fPr5rMHVQdh3btQsBIO/Ao7voKYTEifKklBeKwOk4JSaiPW9ZR9gOuUUnuARkABuuXMqUIcra7JxJ7iOhpMZtKig4gNdd3QzxV7yvjrRxvZU1qHv48Xf5g2nEvGJxEXHnjsJ03IhvOegXdnwfYvISAcLnoZEsf2WNxC9DWd3Smc1ytRCI9TUtPAk1/vYP6qfACGxgbz4lXjyYjv+RlVi6oMPP7VNvaUWuegajRZePyr7WTEh3B6d5JCfTkUrIKaQ9b3DVWw9wcIjpU7BeGxOpzmQmu9v6NXbwUp+p81ByrtCQFgd0kdc3/ci/EYlursTFF1A2v2V7YpL6jo5qM0zc1HMZlw43eQlGt9X1fcvfMK0YfJjG3CJbYVVrcp+2lnCdUNxh5/cCwy0I+hsSHsLqltVR7b3ZXbErLh7EdAmyFpAkx/zLqdOK575xWiD5Ok4GFKqg2sza9i5+EaokL8yU4MY3RyRK/HMcLBwjsnDY8lzLagzYo9ZWw5VI3ZohmZGMqUYbHHfK3UmGD+es4I7nhvLXVNZgBmjk8mqycW/0nOdbwthIeSpOBhPt90mPsWb7a/H5UYxhOX5DAy0bWT2pbWNJK3v5z1+ZVkDgojOymMWbkpLMjLZ/akFKZnDyI2NBBfHy9+2VXKrfNWU20wARDg68XLV+VycuaxJ4ZpWfG8dcMk9pfVEx7oS9agUBJlWU8hukySggfZcrCK//tmR6uyzYeq2VZU49Kk0Gg08/yyXbzx6z572akjYnn04mxmjk/i++0lvPPbAU7OiMNkNvPdtmJ7QgBoMFpYkHeAE4ZE4Ot77EtjTkiNYkJqVHeqIsSAJ0mhjyuvbcTHSxEW1PnaDI1mC9UGY5tyg61JxVX2ltbx5vJ9rcqWbSuhoMLAH95fR1F1AwBfbjrMbacO5fi0CF79ufU5Dlc30mDSdCMnCCF6gLPLcYpeVlhl4J0V+7nq1ZVc90YeSzYWUt/Y9hd+S4nh/rx41QTOy0mwl/n7eDE0NrjH4mo0mthTUkt57ZGlRpvMFhzNwL6ruM6eEJq99vM+osPaDhO9YGwiobIokRBuJ3cKfdT320r430822d+vebeC/1yTy7QWK7y1tHx3Kc99u5NtRTWcNDyWuVdP4IXvdnH76cOZmBbZ6fV2FddQ32giMSKQmHYeMtt0sJK3lu/nm63FpMcE84dpw5maEUtqdBDHD43kuuPTiQ7xp7bRyONfbMOs2w4/tWiN1nD/jFG88uMejGYL1x6fRq6DFdGEEL1PkkIfVGUw8t6qA63KtIbvtxU7TAqbD1ZxyztrqLI1HS1ef4j88nr+74qxpMV0vAJcQ4OJZTtLeOzLbewvr+fUzDhuO2UoE9Jat81X1Tfx9NKdfLfNOka/vK6Jm99ezbz/msz41Ej+cFoGTy/dwcp9FWQlhPKX6VkE+3sTEeRLZf2RO5zLJ6aQGR/C+NRIJqdFoTVkJfb8A21CiGMjSaEP8vWCEP+2X01ooOMG953FtfaE0GxtfiVF1Y2dJoU1BZXc8f5ajGZr+89324oxNJl46tIcEiOPNDvtLatn2fbWD20ZjGZ2FdcS7O/N3R9tZF9ZPQBbC2u44/21fHDzRP595Xg+XlvAnpI6zhw5iOOGRBFsG5bqaNiqEMK9JCn0QUH+vlw3JY0Ve8qw2Nrqg/y8mZrheMhmkIOJ3/y8vQj07bzLaF9ZnT0hNFu+p5z8ioZWSSHAx4tgPx9qG02tjg3y9ya/3GBPCM2qDSa2HKrnovHJTBwcRoMZwqTPQIg+Tzqa+6gTh8Xw2pyJ3HBiOr8/dRivz5nIcUOiHR47MiGME4fFtCq78aR0shI6H4bq6I4kIsi3TUIZkRDGHacNa1U2JjmckQlhhAT44Out2pwn3HZn4+fndyQhWMxQvrftthCiT5A7hT4q0M+HUzLjOCUzrtNjk6OCuO+CkazPr6Kgop6M+FDGDo7Az6fznD88PoQpw6L5ZVeZvexPZ2SQk9K2c/ri8cmkxQSzvaiG+LAAxqZEMCQ2hLhgX249eSjPfbfLfuzM8ckMizuq6cpisU4//entMPtDqC60bS+UmUeF6COUdjSWsJ/Izc3VeXl57g6j39t0sJKdh2upqDeSGhNEdmIYcQ6GjXZkf1ktWwtrOVRpIDbUj8y4UDIc9RkcWA7vzLTeJViMEJ4KV74PsZk9VBshRGeUUqu11g7nbZE7BcHopAhGJ0V06xyp0SGkRnfcqQ1A8iSY+j/wzb3W9+c9IwlBiD5EkkIfVVPfSN6BSlburcDf14uJaVFMOarf4GjlNY3sL6/jl91ljEoMY2RiGPFd/IvfpZqbj757AELiobEGPpwDV38izUdC9BGSFNpxoKyOVfsrWLatmJTIIE7JjGVyOx29rrBiXwW3vLMGs234UYi/Dy9fPaHdxLCxoILvt5cS4OvFyIQwdpfUsf1wDSdnxPXMbKE9wcsLAiMhNgsufR3qymDJn8G3DyUuIQY4l40+Ukq9ppQqVkptalEWpZRaqpTaafsZaStXSqnnlFK7lFIblFLjXRWXs77YVMSfFqznsw2FvPjDbn43bw2r95X3yrUr6xp489d99oQAUNto4pddpQ6P31tSy10fbMRs0RiMFl78YTeHKg1EB/uzfHcpBeX1Dj/nFqnHw1ULISbjyLY0HwnRZ7hySOobwNlHld0NfKu1Hg58a3sPMB0YbnvdBLzowrg6tb2ompd+2N2qrKyuia1FNb1y/SYzVBlMbcqPfkCt2daiGpKiAllzoIKnl+5g1b4KXvtlH6/8tIcD5Qb2l9W5OuSuCR3keFsI4XYuSwpa6x+Bo/+0ngG8adt+E7iwRflb2moFEKGUSsBNLBYwmduOyrL00kituLAALs1NblPe3sNrFouF0Ynh/Liz9Z3EjsO1hAf6crCyweHnmm0rrGZjQRXV9Y0dHieE8Hy9/fBavNa60LZdBDRP5JME5Lc4rsBW1oZS6ialVJ5SKq+kpMQlQWbEB3P18amtyoL9vMmMD3XJ9Rw5Lj2Se88fybC4ELKTwnn28rGMS3H8MFrGoDACOnh6OdDP8b7CynreX3mAa19fycwXf+XhJdtZe6CiR+IXQvRPbuto1lprpVSX//TWWs8F5oL1OYUeDwzw9vbmwrGJRIf489n6QyRHBjFrYnKvdjRnDAonY1A4p4+Iw8dLkdDBKmIZ8aE0Gs2syapg6dYj8xONSgyjsr6JnGSH+ZWNB6u5+6ON9vfz8/IJ9PNmdEJItxa76bbi7RCX2XZbCOFyvZ0UDiulErTWhbbmoebfYAeBlBbHJdvK3CZjUBgZg8KYNSGJAB9vfH3bzi/UG1KinVsLIXNQGLeeMozjhkazfHcZoxLCGB4fyvBBoaS2c46dxbVtyj7bcIhZE5IZmeTa5TvbtXuZ9RmG6U+Asd62/TgMPs498QgxwPR2UlgMXAs8avu5qEX575VS7wOTgaoWzUxu1R8WfqlvNDI/r4BHv9iGr7cX2UnhjEuN7HSKjIigtncDCeEBhAa66QbSaIT6Uji8CRZcDaZGsJigqW3yEkK4hsv+9yul3gNOAWKUUgXAvViTwQKl1A3AfmCW7fAlwDnALqAeuM5VcXmiDQerePCzLVg0NJosLN9Txq6SWt67cTLD4trvBwnz92VITDB7Suv4x7kjSIsNoaiqgT2ldfj7eHV5qotu8/WFjHPh1L/Dt/dZy2a+CsNO7904hBjAXJYUtNZXtLNrmoNjNXCbq2LxdAcrGmjxSAM+XlBS08jh6sYOk0KjycwpmbHce34Wa/OruP6NI/NI3TN9BLMnJhMS5O/K0Nsq+A1+fRa8fa3zI317P4QnS/OREL1Enmj2AIkRASgFt0wdyrD4EA5XNRAb6m+furo9mYNCWbT+EKdmxvHctztb7Xvq6x2MSY7guKGOk8KqfeVsOVSNl4LRSeGMG9z5kp+dam4+0houmwcNlbDkf6T5SIheJEnBA4xODOf5y8exOr+Cv328keTIIAorDUzLiuN/z81y2Ay05VAVs1/9jZunDqG8vqnVnQZAk9lCeZ3j5xZ+3VXKDW/mYTCaAQgL9OE/V+cyqbujs3x9Yfh0uGa4dS6khlqIHQEJY7p3XiGE02SRHQ8QGuhLXJg/9Y1mbjxpCENjQ7jm+DRiQvzZVuT4r+wlG4uoNph44qsdxIf5t1lsJzLIl6RIx30KC/Ly7QkBrKusfbWlqGcqExByZHK8gBBJCEL0MrlT8BBaa8rrmnh/1ZFnAMelRHDaCMcjkA6UH5n6IsBH8dSlOdy7eAtF1Q0kRwZy3/mjiAlt2/zUZDRzqKrtE9KHOnlqWgjRP8idgofw8vLi6y2HW5Wtza+k0WRxePz5YxLt28U1Rv713U6evXwsb1w3kacuHcPjX25jR1HbifT8fL25oMVnm501SuYwEsITyJ2Ch2hv6c09JbWE+Pu0eRp7cnoUj83M5pmlOzFbLGw6VMNlc1e0OsZkcZxQTs6I4a4zM3jj1/14eylumjqE44dG9UxFhBBuJUnBQwT7eTMxNZJV+4/MXTQkJpgxKeHsKq5tkxTCAv24bOJgpo2Ip6SmgYz4EHYcPtL/MDYlnLRox1NrpEQFc9tpwzknOwEvL9XuE9NCiP5HkoKH2F9WT25aFJkJYazLr2BkQjhJkYEcqmzA17v9VsKYUH8OVtbzwIxRfLGpiNX7KzguPZozRsbTZOp4aqn0WCeW3xRC9CvSp+ABquqsv/hf/nE332w5TEywPyv2lPHM0h0E+nqTEd/xL+8D5fVcPvc3tEVz57QMahqMXDZ3BQcq+tDiPEKIXiF3Ch5gc2EtefvKuGLiYOatPEBRtXUk0OlZcSRFBDA6ueMHy8ICrKOM3lpxgLdWHADASx0pF0IMHJIUPEBBpYFnv9vNE5dkMz41h90ldaRGBzEsLqTThADWvocrJqbwXovhrHNOSCMjrv3puoUQnkmSggeIDbFORXHXhxvx9ob0qGDKaht5bc5Evt16mKyEMBIj2p/cLiU6mGuOT+WEYdEUVzcyKDyAYXEhxIZJUhBioJGk4AGGxARx09QhzP1xD2Yz7Cur55GLs3nvtwMsWHOQrEFhvHzNBAZHtf9LPisxnKxEN62hIIToMyQpuNlPO0tYu78SC5pxgyM4IT2yy6uepcaEMHtSCscNiaa0ppGkyACW7yphwRrrOkVbi6pZva+8w6QghBAgScGtftxRwk1v59FgtD4k5u/jxctXT+h0cRxHUmNCSI0Joay2kfP+9TOFR01F4WhqCiGEOJoMSXWjLzYV2hMCWBfIWbj62FchNZosKODPZw4HwM/bi+TIAADGpkR0J1QhxAAhdwpuVFHX1KasvK4Rk8mEj0/Xvpq8feUsyCvgstRqpul8PrrxVOqLtpNuOcDm8KmMcVVSMBnBx7ftthCiX5I7BTc6JzuhTdmF45K6nBC2F9Vw27tr8DfVMmr7C0QsuYUhu99kyopbSPrhT5w5yNBmauweYaiGVf+Bwo3Q0GJbCNFvyZ2Cm1TWNZERG8yjF2fz2i97MVvg2hNSGZdyZARQWY2BveUGvJViZHwQ/v6OV0Hbcbiaw9WNvL2ukTGn/47zK/cR8es/rTuv+ghiM11Tiep861rK/qEw8kJY9QrkXg9nPAj+MgWGEP2RJAU3WJ9fyRNfbufn3aWcMCSCf10+Dj8fr1ZzCa09UMF7Kw/w0ZqD+Pl48V8npnP26EGMdDBs1MfLesPn5+1FfIAZ34byIztrDoGpEXwDer4i8aPgyvnw1gxrQkg7Gab+jyQEIfoxSQq9rNrQxOfrDvCX6ZlcXTWY0ABfGkwmDlYZ8fFWpEQFc7i0gkRTAQvyCjhtWCj/PTGI897bRVpMsMOkMCIhlFGJYYyP82bivufxMpRRdt5rRK17CfX5nyBpIsSN6PnKNFRDwaoj70u2QF0phLVtFhNC9A9K645nwuzLcnNzdV5enrvD6JKth6qoqDdy14cbOFhpwMdLcfPJQwj19+H7HSU8OzODuANfwcq5HD7taaKqt+Kb9wr7pjzCC1uDeOJSx8tTbj5Uxa+7ysgJqSAzqJaa2AmkqBKoKYLBx4FSPV+Zw5vhldMg4ywYdw3Mnw1jr5TmIyH6OKXUaq11rqN9cqfQywJ8vHn8y40crDQAYLJo/r1sNy/MHs+KPdsxNBjRTbV4Fa5l0OIrofYwOiqdAC9NWgfrFoxKDGdUi7uICABCICrddZWJHwXXfwnB8RCeeGRbEoIQ/ZaMPupllQ1G1hVUtSk/bHu4rMknkC+9pqJHXQw1haAtNJ73IlctaWJSeueT2/W6xHHWhHD0thCiX5Kk0MtCA3zJSghtUx4T6gfAroLDnO2zBrXlEwiw/uXv/9Wf+XxWOEXlLlzfoHQnlO1uuy2EGFAkKfSyYXEh3H32CCKCjjzk9cpV4xgcGUjWoFAy48LwMtaio9IxXLkI81mPgbGO+oZGxg+JcU1Qlfkw/2r48AYo3GDdXvhfUFXgmusJIfos6Wh2kzX7K1CYqWqw8P32Eixac0pmLOOSw4j0NkJ1ASVBQ6iqrCDZq5TGyEzCg/xcE4yxEbZ8Ah/fZH2vvOCSN2DEOeAtTygL4Wmko7kXNJnMaA3+vt5OHT8+NZJl24u56a08jGZrYp732wHmXj2BaVnxEDiSWCA2NAFIwAVPGRzh6w/JEyAwEgwVEBwDCTmSEIQYgKT5qJuMZgu/7irlprdXc+V/VvD5hkNUG4xOffbzDYX2hABgtmg+yHNDk01lPrx/FTRUWYeU1hbDh9dL85EQA5DcKXTTuvxKZr/6G82tcKv3r+VfV4zj/DGdj8IxNJnalNUbTcc0IV63BMfBiX8EnwDIOBPST7Fuh8T3XgxCiD5B7hS66bttxRzdLfPqz3swGM2dfvbcnLaJY+a45N5NCGBtPhp1kbUPwTfwyLY0Hwkx4MidQjcFOehDCPL1wduJB4hTIwN47opxzFuxH5NFM3vyYNJj2l9L2SnGRuvzDVFp1u3aIohM7fxzPn6Ot4UQA4rcKXTTKZmxBPge+WdUCm45ZSh+Pp13OP/7+z08/Olm7pmeyb3nZvHUV1t55IvtdDgizGiwTl1x9DbYRhF9DEv/AeV7rdtf/9363IEQQjhB7hS6KTs5gg9uPp5vthZT12jijJHxjBsc4dRn02ODWbKpiAtfWG4vOzUrBNXePEVGA6yfD7u+gXMeh51fw85vYPqjEJ4MDRVQtAm2LoKyHVC6AyJSobGmB2oqhBgIJCn0gOzkCLKTI7r8uXOzE3h7xX6qDdYO5xB/H2blprT/AbMRDOWw7VMoXAdV+TD4BDDbOqxDB8Hxv7fu2/eTteyS1yFxbJdjE0IMTJIU3GhkYjgLbzmBLYXVWCyakYnhZA4KhapCa19A0rjW2wFhkHud9Q7hwHJrW9WM5639B2BtPtr7PRz41dpJbDbCj0/A6fdBzHA31lQI0V9In4KbDY8PZcbYJC4an2xNCHXlkPcKzLsY9i+H5f+ybuevtDYfbVlkTQj+YaA1LL33yPMEzc1HEanwX9/BcbdC8RZpPhJCOM0tdwpKqX1ADWAGTFrrXKVUFDAfSAP2AbO01hXuiM+tgqMg5ThY8SK8fra1LGM6BERY//KvL7c2GV30Imz6CHYubd18dNytkH2p9YnkoGjIuQISHa/BIIQQR3PL3Ee2pJCrtS5tUfY4UK61flQpdTcQqbX+S0fn6c9zH3Wophg+vxO2fW59f+1nkH6SdbuhGhoqIWJw620hhHBSR3Mf9aXmoxnAm7btN4ELXXGRPSW1vPj9bua8vpJ5v+3nkG2xmz6jrhx+e9GaEJLGg28QfHCNtfkIrP0KzUmg5bYQQvQAd3U0a+BrpZQGXtZazwXitdaFtv1FgMM5FpRSNwE3AQwe3LVfiMXVDdw2bw1bi6xt7N9vL+Hi8Uk8fGE2gX7OTWTncsFRMPh4GH0JnPq/ULYTNsy3Nh8JIYSLuSspnKi1PqiUigOWKqW2tdyptda2hNGGLYHMBWvzUVcuuqu41p4Qmn289iA3nTSEEQlhXaqAS2WcaV3qMjwJotOPbAshhIu5pflIa33Q9rMY+BiYBBxWSiUA2H4W9/h1HcbiuNztWiYBSQhCiF7S60lBKRWslApt3gbOBDYBi4FrbYddCyzq6WsPjwshI771ovIXjE0kLTq4py8lhBD9kjuaj+KBj21TOfgA72qtv1RKrQIWKKVuAPYDs3r6wnFhAbw4ewJLNhby6+5Spo9OYFpWXN/pTxBCCDeT5TiFEGKA6S9DUoUQQriZJAUhhBB2khSEEELYSVIQQghhJ0lBCCGEnSQFIYQQdv16SKpSqgTrMw0AMUBpB4d7goFQRxgY9ZQ6eo7+WM9UrXWsox39Oim0pJTKa2/cracYCHWEgVFPqaPn8LR6SvOREEIIO0kKQggh7DwpKcx1dwC9YCDUEQZGPaWOnsOj6ukxfQpCCCG6z5PuFIQQQnSTJAUhhBB2/TIpKKX2KaU2KqXWKaXybGVRSqmlSqmdtp+R7o6zq5RSrymlipVSm1qUOayXsnpOKbVLKbVBKTXefZE7r5063qeUOmj7Ptcppc5pse8eWx23K6XOck/UXaOUSlFKLVNKbVFKbVZK/cFW7mnfZXv19JjvUykVoJRaqZRab6vj/bbydKXUb7a6zFdK+dnK/W3vd9n2p7m1AsdCa93vXsA+IOaosseBu23bdwOPuTvOY6jXVGA8sKmzegHnAF8ACjgO+M3d8XejjvcBf3Zw7EhgPeAPpAO7AW9318GJOiYA423bocAOW1087btsr54e833avpMQ27Yv8JvtO1oAXG4rfwm41bb9O+Al2/blwHx316Grr355p9COGcCbtu03gQvdF8qx0Vr/CJQfVdxevWYAb2mrFUBE8xrXfVk7dWzPDOB9rXWj1novsAvret59mta6UGu9xrZdA2wFkvC877K9eran332ftu+k1vbW1/bSwGnAh7byo7/L5u/4Q2Casi0z2V/016Sgga+VUquVUjfZyuK11oW27SKsy356gvbqlQTktziugI7/Q/Z1v7c1nbzWoumv39fR1nwwDutfmB77XR5VT/Cg71Mp5a2UWgcUA0ux3uFUaq1NtkNa1sNeR9v+KiC6VwPupv6aFE7UWo8HpgO3KaWmttyprfduHjfW1lPrBbwIDAXGAoXAU26NpocopUKAhcCdWuvqlvs86bt0UE+P+j611mat9VggGeudzQj3RuRa/TIpaK0P2n4WAx9j/aION99y234Wuy/CHtVevQ4CKS2OS7aV9Tta68O2/3gW4BWONCn02zoqpXyx/qKcp7X+yFbscd+lo3p64vcJoLWuBJYBx2Nt4vOx7WpZD3sdbfvDgbLejbR7+l1SUEoFK6VCm7eBM4FNwGLgWtth1wKL3BNhj2uvXouBa2wjV44Dqlo0TfQrR7WfX4T1+wRrHS+3jehIB4YDK3s7vq6ytSG/CmzVWj/dYpdHfZft1dOTvk+lVKxSKsK2HQicgbXvZBlwie2wo7/L5u/4EuA7211h/+Hunu6uvoAhWEcwrAc2A3+zlUcD3wI7gW+AKHfHegx1ew/r7bYRazvlDe3VC+uoiH9jbd/cCOS6O/5u1PFtWx02YP1PldDi+L/Z6rgdmO7u+J2s44lYm4Y2AOtsr3M88Ltsr54e830COcBaW102Af+wlQ/BmtB2AR8A/rbyANv7Xbb9Q9xdh66+ZJoLIYQQdv2u+UgIIYTrSFIQQghhJ0lBCCGEnSQFIYQQdpIUhBBC2ElSEEIIYSdJQYguUEolKqU+7PzIbl/nFqXUNa6+jhBHk+cUhBBC2MmdghgwlFJX2RZMWaeUetk2+2WtUuph2yIqK5RS8bZjh9reb1RKPaSUqrWVpynbAkFKqTlKqY+UUl/aFs55vMW1zlRKLVdKrVFKfWCbNK69uB61LVSzQSn1pK3sPqXUn213JutavMxKqVTb9AsLlVKrbK8prv3XEwOFJAUxICilsoDLgCnaOuOlGZgNBAMrtNZjgB+BG20feRZ4VmudjXU6jvaMtZ03G7hMWVcjiwH+FzhdW2fzzQP+u524orHODzRKa50DPNRyv9b6kNZ6rC3mV4CFWuv9tvie0VpPBGYC/+nCP4cQ7fLp/BAhPMI0YAKwyrbmSSDWWUqbgM9sx6zGOuEZWGfCvNC2/S7wZDvn/VZrXQWglNoCpAIRWFcZ+8V2LT9geTufrwIagFeVUp+1iKUV253AjVjnGwI4HRjZYv2WMKVUiD6yIIwQx0SSghgoFPCm1vqeVoVK/Vkf6Vgz0/X/E40ttps/r4ClWusrOvuw1tqklJqENWldAvwe66peLWNMwDob6QUtful7AcdprRu6GK8QHZLmIzFQfAtcopSKA1BKRSmlUjs4fgXWZhmwrrXbFSuAKUqpYbZrBSulMhwdaOtrCNdaLwH+CIw5ar8v1lk3/6K13tFi19fA7S2OG9vFGIVwSJKCGBC01luwtvN/rZTagHVZxY7WQb4T+G/bscOwNvM4e60SYA7wnu3zy2l/ta5Q4DPbcT/Ttu/hBCAXuL9FZ3MicAeQa+uc3gLc4mx8QnREhqQK4YBSKggwaK21Uupy4Aqt9Qx3xyWEq0mfghCOTQCet60uVglc795whOgdcqcgRC9RSn0MpB9V/Bet9VfuiEcIRyQpCCGEsJOOZiGEEHaSFIQQQthJUhBCCGEnSUEIIYTd/wOY5xzJ/RTjEwAAAABJRU5ErkJggg==\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"sns.scatterplot(data=df, x='engine_size', y='horsepower', hue='fuel_type', style='fuel_type');"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "qUGTRzhO5IuX"
},
"source": [
"**Correlation**\n",
"\n",
"Correlation means association. More precisely, it expresses the extent to which two variables change together at a constant rate.\n",
"\n",
"- In a scatter plot when the y variable tends to increase as the x variable increases, we say there is a **positive correlation** between the variables.\n",
"- Again, when the y variable tends to decrease as the x variable increases, we say there is a **negative correlation** between the variables.\n",
"- If the points on the scatter plot seem to be scattered randomly, we say that there is **no correlation** between the variables.\n",
"\n",
"**Let's check out the relationship between a few more variables using scatter plots.**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "hmi7wg7I5IuY",
"outputId": "8f468f89-eb52-4675-d4fe-c47dcd763b6f"
},
"outputs": [
{
"data": {
"image/png": "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