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