{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Distribution Plots\n", "Let's discuss some plots that allow us to visualize the distribution of a data set.\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "___\n", "## Imports" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "import seaborn as sns\n", "%matplotlib inline" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Data\n", "Seaborn comes with built-in data sets!" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "tips = sns.load_dataset('tips')" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", " | total_bill | \n", "tip | \n", "sex | \n", "smoker | \n", "day | \n", "time | \n", "size | \n", "
---|---|---|---|---|---|---|---|
0 | \n", "16.99 | \n", "1.01 | \n", "Female | \n", "No | \n", "Sun | \n", "Dinner | \n", "2 | \n", "
1 | \n", "10.34 | \n", "1.66 | \n", "Male | \n", "No | \n", "Sun | \n", "Dinner | \n", "3 | \n", "
2 | \n", "21.01 | \n", "3.50 | \n", "Male | \n", "No | \n", "Sun | \n", "Dinner | \n", "3 | \n", "
3 | \n", "23.68 | \n", "3.31 | \n", "Male | \n", "No | \n", "Sun | \n", "Dinner | \n", "2 | \n", "
4 | \n", "24.59 | \n", "3.61 | \n", "Female | \n", "No | \n", "Sun | \n", "Dinner | \n", "4 | \n", "