This is the third post in our Data Exploration with Python series. Before reading this post, make sure to check out Part 1 and Part 2!

Preparing yourself and your data like we have done thus far in this series is essential to analyzing your data well. However, the most exciting part of Exploratory Data Analysis (EDA) is actually getting in there, exploring the data, and discovering insights. That's exactly what we are going to start doing in this post.

We will begin with the cleaned and...