Interactive Data Visualization with Python - Second Edition

2. Static Visualization – Global Patterns and Summary Statistics

Learning Objectives

By the end of this chapter, you will be able to:

• Explain various visualization techniques for different contexts
• Identify global patterns of one or more features in a dataset
• Create plots to represent global patterns in data: scatter plots, hexbin plots, contour plots, and heatmaps
• Create plots that present summary statistics of data: histograms (revisited), box plots, and violin plots

In this chapter, we'll explore different visualization techniques for presenting global patterns and summary statistics of data.

Introduction

In the previous chapter, we learned how to handle pandas DataFrames as inputs for data visualization, how to plot with pandas ...