Visual Analysis

Most people interpret the data visually. They prefer to view colorful, meaningful graphs that make sense of the data. As a data science practitioner, it's your job to create these graphs.

In this section, you will primarily focus on two kinds of graphs: histograms and scatter plots. You will use Python to create these graphs. Although software packages such as Tableau are rather popular, they are essentially drag and drop. Since Python is an all-purpose programming language, the limitations are only what you know and are capable of doing.

The matplotlib Library

A popular Python library for creating graphs is matplotlib. It's traditionally imported as plt, as shown in the following code snippet:

import matplotlib.pyplot as plt
%matplotlib inline

Note the strange second line of code. It basically shows all graphs within Jupyter Notebooks instead of exporting them to external files. It's used when you want to see the graphs right there in...