Yamaoka Naoki. Data Visualization with ggplot2: World Cup 2014 and 2018

Independently published, 2021. — 301 p. — ISBN B08R7KDSJC.This book presents different ways to visualize data in ggplot2.
There is no theoretical explanation of each analysis method.
The analysis uses data for FIFA World Cup 2014 & 2018.Visualize the Amount
Data Import
Basic Bar Chart
Switches the x- and y-axes
Adds a Plot Title
Specify the Font
Modifying Order
Specify the Colors
Different Colors for Each Group
Control Legends
Position of Legend
Use Theme
Cleveland Dot
Mapping the Aesthetics
Add Annotations to a Plot
Draw Line and Rectangle
Visualize Various Indicators
Radar Chart
Visualize the Distribution (1)
Histogram
Probability Density Function
Cumulative Density Function (CDF)
Visualization of Various Indicators
Visualize the Distribution (2)
Boxplot
Violinplot
Density Ridges Plot
Dotplot
Beeswarm
Visualization of Various Indicators
Visualize the Relationship Between the Two Items
Basic Scatterplot
Visualization of Various Indicators
MDS: Multi Dimensional Scaling
Euclidean Distance
Mahalanobis Distance
Pearson Correlation Coefficient
Cosine Simirality
FA: Factor Analysis
Regression & Varimax
Cluster Analysis of the Results of FA
Bartlett & Promax
Cluster Analysis of the Results of FA
PCA: Principal Component Analysis
Principal Component Analysis
Cluster Analysis of the Results of PCA
ICA: Independent Component Analysis
Independent Component Analysis
Cluster Analysis of the Results of ICA