Visualization is an important tool to have at your disposal whether you are just beginning to familiarise yourself with a dataset or getting ready to publish your findings. Your data can be visually represented in a variety of ways by using the.plot() function, which is part of the popular pandas data analysis library for Python. Even if you’re just starting out with Pandas, you won’t have to wait long before you’re able to generate simple plots that provide insightful interpretations of your data. During your time in this class, you will learn:
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What the different types of
pandas plots
are and when to use them -
How to get an overview of your dataset with a
histogram
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How to discover correlation with a
scatter plot
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How to analyze different
categories
and their
ratios