{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## Installing Seaborn\n", "\n", "[Seaborn](http://seaborn.pydata.org/) is another data visuaization library, like matplotlib but a little less insane. Install it by using `pip3`.\n", "\n", "```bash\n", "pip3 install seaborn\n", "```" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Using Seaborn\n", "\n", "First let's read in our data." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", " | country | \n", "continent | \n", "gdp_per_capita | \n", "life_expectancy | \n", "population | \n", "
---|---|---|---|---|---|
0 | \n", "Afghanistan | \n", "Asia | \n", "663 | \n", "54.863 | \n", "22856302 | \n", "
1 | \n", "Albania | \n", "Europe | \n", "4195 | \n", "74.200 | \n", "3071856 | \n", "