Exploratory data analysis

As we have learned throughout this book, our first step should be to engage in some exploratory data analysis (EDA) to get familiar with our data. In the interest of brevity, this section will include a subset of the EDA that's available in each of the notebooks—be sure to check out the respective notebooks for the full version.

Let's start with our imports, which will be the same across the notebooks we will use in this chapter:

>>> %matplotlib inline
>>> import matplotlib.pyplot as plt
>>> import numpy as np
>>> import pandas as pd
>>> import seaborn as sns

Red wine quality data

Let's read in our red wine data and do some EDA using techniques...