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Mastering Python Data Visualization by Kirthi Raman

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Visualization plots

One of the reasons why we perform visualization is to confirm our knowledge of data. However, if the data is not well understood, you may not frame the right questions about the data.

When creating visualizations, the first step is to be clear on the question to be answered. In other words, how is visualization going to help? There is another challenge that follows this—knowing the right plotting method. Some visualization methods are as follows:

  • Bar graph and pie chart
  • Box plot
  • Bubble chart
  • Histogram
  • Kernel Density Estimation (KDE) plot
  • Line and surface plot
  • Network graph plot
  • Scatter plot
  • Tree map
  • Violin plot

In the course of identifying the message that the visualization should convey, it makes sense to look at the following questions: ...

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