Whether you’re just getting to know a dataset or preparing to
publish your findings, visualization is an essential tool. Python’s
popular data analysis library,
pandas, provides several
different options for visualizing your data with .plot(). Even if
you’re at the beginning of your pandas journey, you’ll soon be
creating basic plots that will yield valuable insights into your
data.
In this tutorial, you’ll learn:
- What the different types of pandas plots are and when to use them
- How to get an overview of your dataset with a histogram
- How to discover correlation with a scatter plot
- How to analyze different categories and their ratios