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YahiaMLYahiaML
committedJul 31, 2022
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‎L_26_Import_datasets_from_github_.ipynb

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{
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"nbformat": 4,
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"nbformat_minor": 0,
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"metadata": {
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"colab": {
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"name": "L_26 Import datasets from github .ipynb",
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"provenance": [],
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"collapsed_sections": [],
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"authorship_tag": "ABX9TyM4RGV7ZBaQI2Tj/x1iQdd0",
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"include_colab_link": true
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},
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"kernelspec": {
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"name": "ir",
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"display_name": "R"
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},
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"language_info": {
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"name": "R"
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}
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},
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "view-in-github",
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"colab_type": "text"
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},
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"source": [
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"<a href=\"https://colab.research.google.com/github/YahiaML/W3scools-R-course/blob/main/L_26_Import_datasets_from_github_.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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]
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},
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{
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"cell_type": "code",
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"source": [
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"library (readr)\n",
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"\n",
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"urlfile=\"https://raw.githubusercontent.com/genomicsclass/dagdata/master/inst/extdata/femaleMiceWeights.csv\"\n",
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"\n",
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"mydata<-read_csv(url(urlfile))"
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],
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "2zw1cHdUFfnc",
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"outputId": "f8002791-f9fc-48be-a9f9-50fded30d435"
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},
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"execution_count": 24,
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"outputs": [
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{
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"output_type": "stream",
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"name": "stderr",
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"text": [
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"\u001b[1mRows: \u001b[22m\u001b[34m24\u001b[39m \u001b[1mColumns: \u001b[22m\u001b[34m2\u001b[39m\n",
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"\u001b[36m──\u001b[39m \u001b[1mColumn specification\u001b[22m \u001b[36m────────────────────────────────────────────────────────\u001b[39m\n",
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"\u001b[1mDelimiter:\u001b[22m \",\"\n",
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"\u001b[31mchr\u001b[39m (1): Diet\n",
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"\u001b[32mdbl\u001b[39m (1): Bodyweight\n",
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"\n",
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"\u001b[36mℹ\u001b[39m Use `spec()` to retrieve the full column specification for this data.\n",
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"\u001b[36mℹ\u001b[39m Specify the column types or set `show_col_types = FALSE` to quiet this message.\n"
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]
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}
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]
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},
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{
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"cell_type": "code",
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"source": [
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"mydata"
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],
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/",
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"height": 851
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},
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"id": "h5QzSh0YQWuA",
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"outputId": "77f7ac97-8392-40e0-c2df-c18f3a6c30de"
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},
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"execution_count": 25,
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"outputs": [
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{
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"output_type": "display_data",
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"data": {
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"text/html": [
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"<table class=\"dataframe\">\n",
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"<caption>A spec_tbl_df: 24 × 2</caption>\n",
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"<thead>\n",
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"\t<tr><th scope=col>Diet</th><th scope=col>Bodyweight</th></tr>\n",
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"\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
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"</thead>\n",
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"<tbody>\n",
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"\t<tr><td>chow</td><td>21.51</td></tr>\n",
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"\t<tr><td>chow</td><td>28.14</td></tr>\n",
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"\t<tr><td>chow</td><td>24.04</td></tr>\n",
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"\t<tr><td>chow</td><td>23.45</td></tr>\n",
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"\t<tr><td>chow</td><td>23.68</td></tr>\n",
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"\t<tr><td>chow</td><td>19.79</td></tr>\n",
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"\t<tr><td>chow</td><td>28.40</td></tr>\n",
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"\t<tr><td>chow</td><td>20.98</td></tr>\n",
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"\t<tr><td>chow</td><td>22.51</td></tr>\n",
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"\t<tr><td>chow</td><td>20.10</td></tr>\n",
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"\t<tr><td>chow</td><td>26.91</td></tr>\n",
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"\t<tr><td>chow</td><td>26.25</td></tr>\n",
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"\t<tr><td>hf </td><td>25.71</td></tr>\n",
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"\t<tr><td>hf </td><td>26.37</td></tr>\n",
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"\t<tr><td>hf </td><td>22.80</td></tr>\n",
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"\t<tr><td>hf </td><td>25.34</td></tr>\n",
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"\t<tr><td>hf </td><td>24.97</td></tr>\n",
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"\t<tr><td>hf </td><td>28.14</td></tr>\n",
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"\t<tr><td>hf </td><td>29.58</td></tr>\n",
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"\t<tr><td>hf </td><td>30.92</td></tr>\n",
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"\t<tr><td>hf </td><td>34.02</td></tr>\n",
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"\t<tr><td>hf </td><td>21.90</td></tr>\n",
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"\t<tr><td>hf </td><td>31.53</td></tr>\n",
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"\t<tr><td>hf </td><td>20.73</td></tr>\n",
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"</tbody>\n",
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"</table>\n"
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],
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"text/markdown": "\nA spec_tbl_df: 24 × 2\n\n| Diet &lt;chr&gt; | Bodyweight &lt;dbl&gt; |\n|---|---|\n| chow | 21.51 |\n| chow | 28.14 |\n| chow | 24.04 |\n| chow | 23.45 |\n| chow | 23.68 |\n| chow | 19.79 |\n| chow | 28.40 |\n| chow | 20.98 |\n| chow | 22.51 |\n| chow | 20.10 |\n| chow | 26.91 |\n| chow | 26.25 |\n| hf | 25.71 |\n| hf | 26.37 |\n| hf | 22.80 |\n| hf | 25.34 |\n| hf | 24.97 |\n| hf | 28.14 |\n| hf | 29.58 |\n| hf | 30.92 |\n| hf | 34.02 |\n| hf | 21.90 |\n| hf | 31.53 |\n| hf | 20.73 |\n\n",
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"text/latex": "A spec\\_tbl\\_df: 24 × 2\n\\begin{tabular}{ll}\n Diet & Bodyweight\\\\\n <chr> & <dbl>\\\\\n\\hline\n\t chow & 21.51\\\\\n\t chow & 28.14\\\\\n\t chow & 24.04\\\\\n\t chow & 23.45\\\\\n\t chow & 23.68\\\\\n\t chow & 19.79\\\\\n\t chow & 28.40\\\\\n\t chow & 20.98\\\\\n\t chow & 22.51\\\\\n\t chow & 20.10\\\\\n\t chow & 26.91\\\\\n\t chow & 26.25\\\\\n\t hf & 25.71\\\\\n\t hf & 26.37\\\\\n\t hf & 22.80\\\\\n\t hf & 25.34\\\\\n\t hf & 24.97\\\\\n\t hf & 28.14\\\\\n\t hf & 29.58\\\\\n\t hf & 30.92\\\\\n\t hf & 34.02\\\\\n\t hf & 21.90\\\\\n\t hf & 31.53\\\\\n\t hf & 20.73\\\\\n\\end{tabular}\n",
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"text/plain": [
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" Diet Bodyweight\n",
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"1 chow 21.51 \n",
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"2 chow 28.14 \n",
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"3 chow 24.04 \n",
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"4 chow 23.45 \n",
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"5 chow 23.68 \n",
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"6 chow 19.79 \n",
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"7 chow 28.40 \n",
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"8 chow 20.98 \n",
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"9 chow 22.51 \n",
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"10 chow 20.10 \n",
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"11 chow 26.91 \n",
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"12 chow 26.25 \n",
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"13 hf 25.71 \n",
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"14 hf 26.37 \n",
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"15 hf 22.80 \n",
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"16 hf 25.34 \n",
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"17 hf 24.97 \n",
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"18 hf 28.14 \n",
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"19 hf 29.58 \n",
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"20 hf 30.92 \n",
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"21 hf 34.02 \n",
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"22 hf 21.90 \n",
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"23 hf 31.53 \n",
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"24 hf 20.73 "
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]
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},
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"metadata": {}
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}
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]
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}
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]
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}

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