{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import matplotlib.pyplot as plt\n", "import pandas as pd" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "plt.rc('figure', figsize=(10, 8))\n", "plt.style.use('seaborn-white')" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
| \n", " | Age | \n", "All_Devs | \n", "Python | \n", "JavaScript | \n", "
|---|---|---|---|---|
| 0 | \n", "18 | \n", "17784 | \n", "20046 | \n", "16446 | \n", "
| 1 | \n", "19 | \n", "16500 | \n", "17100 | \n", "16791 | \n", "
| 2 | \n", "20 | \n", "18012 | \n", "20000 | \n", "18942 | \n", "
| 3 | \n", "21 | \n", "20628 | \n", "24744 | \n", "21780 | \n", "
| 4 | \n", "22 | \n", "25206 | \n", "30500 | \n", "25704 | \n", "