{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "Exploration du Dataset" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": true }, "outputs": [], "source": [ "import pandas as pd" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": true }, "outputs": [], "source": [ "filePath = \"../Datasets/advertising.csv\"\n", "df = pd.read_csv(filePath)" ] }, { "cell_type": "code", "execution_count": 81, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(200, 5)" ] }, "execution_count": 81, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.shape" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", " | TV | \n", "Radio | \n", "Newspaper | \n", "Sales | \n", "
---|---|---|---|---|
0 | \n", "230.1 | \n", "37.8 | \n", "69.2 | \n", "22.1 | \n", "
1 | \n", "44.5 | \n", "39.3 | \n", "45.1 | \n", "10.4 | \n", "
2 | \n", "17.2 | \n", "45.9 | \n", "69.3 | \n", "9.3 | \n", "
3 | \n", "151.5 | \n", "41.3 | \n", "58.5 | \n", "18.5 | \n", "
4 | \n", "180.8 | \n", "10.8 | \n", "58.4 | \n", "12.9 | \n", "