Data Visualization

Research output: Chapter in Book/Published conference outputChapter


In this chapter, we demonstrate data visualization in Python with Matplotlib and Seaborn. First, we introduce the components of a Figure, and different ways of creating a Figure and Axes. Then, the methods for customizing and formatting a figure are introduced. Next, we illustrate how to plot common charts using Matplotlib including scatter plot, bar chart, histogram, pie chart, and boxplot. The Seaborn methods for creating informative statistical graphics were demonstrated with two examples. Lastly, we introduce geographic mapping with Basemap.
Original languageEnglish
Title of host publicationSupply Chain Analytics: Concepts, Techniques and Applications
PublisherPalgrave Macmillan
ISBN (Electronic)9783030922245
ISBN (Print)9783030922238
Publication statusPublished - 8 Apr 2022


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