7 Visualizing DataFrames with Seaborn

This chapter covers

  • Using the prepare-collect-plot-reduce pattern to overcome the challenges of visualizing large datasets
  • Visualizing continuous relationships using seaborn.scatterplot and seaborn.regplot
  • Visualizing groups of continuous data using Seaborn seaborn.violinplot
  • Visualizing patterns in categorical data using seaborn.heatmap

In the previous chapter, we performed some basic analyses of the NYC Parking Ticket data by looking at descriptive statistics and some other numerical properties of the dataset. While describing data numerically is precise, the results can be somewhat difficult to interpret and are generally not intuitive. On the other hand, we humans are very good at detecting and ...

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