Visualization is a key topic for data science and data analysis, and Python provides a lot of options in terms of executing visualizations for different purposes. In this chapter, we will talk about the two most popular libraries for doing visualization in Python, namely, matplotlib and seaborn. We will also talk about the pandas capabilities for doing visualizations.
Let's look into the following various topics that we will discuss in this chapter:
- Introducing matplotlib
- Introducing pyplot
- Object-oriented interfaces
- Common customizations
- Exploratory data analysis with seaborn and pandas
- Analyzing the variables individually
- The relationship between variables
