Data can be viewed more clearly in a visual form than it can be as raw numbers. For example, you might want to create a line chart graphing the changes in a stock price over time. Or you could track the interest in the articles on your website using a histogram showing daily views of each. Visualizations such as these help you immediately recognize trends in your data.
This chapter provides an overview of the most common types of data visualizations and covers how to create them using Matplotlib, a popular Python plotting library. You’ll also learn how to integrate Matplotlib with pandas and how to create maps with ...
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