1. Introduction to Visualization with Python – Basic and Customized Plotting
Learning Objectives
By the end of this chapter, you will be able to:
- Explain the concept of data visualization
- Analyze and describe the pandas DataFrame
- Use the basic functionalities of the pandas DataFrame
- Create distributional plots using matplotlib
- Generate visually appealing plots using seaborn
In this chapter, we will explore the basics of data visualization using Python programming.
Introduction
Data visualization is the art and science of telling captivating stories with data. Today's developers and data scientists, irrespective of their operational domain, agree that communicating insights effectively using data visualization is very important.
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