TY - CHAP
T1 - Data Visualization
AU - Liu, Kurt Y.
PY - 2022/4/8
Y1 - 2022/4/8
N2 - 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.
AB - 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.
UR - https://link.springer.com/chapter/10.1007/978-3-030-92224-5_4
U2 - 10.1007/978-3-030-92224-5_4
DO - 10.1007/978-3-030-92224-5_4
M3 - Chapter
SN - 9783030922238
SP - 83
EP - 111
BT - Supply Chain Analytics: Concepts, Techniques and Applications
PB - Palgrave Macmillan
ER -