Data Visualization with Matplotlib and Seaborn Cheatsheet
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Data Visualization with Matplotlib and Seaborn
Quick Overview
Data visualization is a critical step in the data analysis process.
Getting Started
- Install matplotlib and seaborn on your computer.
- Execute the command
pip install matplotlib seabornto install the two packages.
Core Concepts
- Line plots: are used to show trends in the data.
- Bar plots: are used to compare values in the data.
Essential Commands / API / Syntax
matplotlib.pyplot.plot(): Plots a line plot.seaborn.barplot(): Plots a bar plot.
Common Patterns
- Plot a line plot to show the trend in the data.
- Plot a bar plot to compare values in the data.
Gotchas & Tips
- Always use the correct data for the visualization.
- Always add a title and labels to the plots.
Next Steps
- Read the book “Data Visualization with Python” by Claus Oehrli.
- Take the course “Data Visualization with Python” by DataCamp.