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 course, 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
[ Improve Your Python With 🐍 Python Tricks 💌 – Get a short & sweet Python Trick delivered to your inbox every couple of days. >> Click here to learn more and see examples ]
from Planet Python
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