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Mastering Python Data Visualization by Kirthi Raman

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Some best practices for visualization

The first important step one can take to make a great visualization is to know what is the goal behind the effort. How does one know if the visualization has a purpose? It is also very important to know who the audience is and how this will help them.

Once the answers to these questions are known, and the purpose of visualization is well understood, the next challenge is to choose the right method to present it. The most commonly-used types of visualization could further be categorized according to the following:

  • Comparison and ranking
  • Correlation
  • Distribution
  • Location-specific or geodata
  • Part-to-whole relationships
  • Trends over time

Comparison and ranking

Comparing and ranking can be done in more than one way, but ...

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