Data Visualization

Kurt Y. Liu ()
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Kurt Y. Liu: University of Glasgow

Chapter 4 in Supply Chain Analytics, 2022, pp 83-111 from Springer

Abstract: Abstract 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.

Keywords: Data visualization; Matplotlib; Seaborn; Basemap (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/978-3-030-92224-5_4

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