{
"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",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" country | \n",
" continent | \n",
" gdp_per_capita | \n",
" life_expectancy | \n",
" population | \n",
"
\n",
" \n",
" \n",
" \n",
" | 0 | \n",
" Afghanistan | \n",
" Asia | \n",
" 663 | \n",
" 54.863 | \n",
" 22856302 | \n",
"
\n",
" \n",
" | 1 | \n",
" Albania | \n",
" Europe | \n",
" 4195 | \n",
" 74.200 | \n",
" 3071856 | \n",
"
\n",
" \n",
"
\n",
"