Learn ggplot2 Using Shiny App

Keon-Woong Moon, M.D., Ph.D., is Professor of Cardiology at the Catholic University of Korea and serves as the Director of Cardiology at St. Vincent’s hospital. In 2014, he completed the Data Science Specialization course authorized by Johns Hopkins University offered through Coursera. Recently he developed four R packages (mycor, moonBook, ztable, and ggiraphExtra) for distribution on CRAN. He  has taught residents, fellows, and junior staff about R and ggplot2 for many years, and he is the author of two books in Korean: R Statistics and Graphs for Medical Papers (2015, Hannarae) and Web-Based Analysis without R in Your Computer (2015, Hannarae).

1 Make a plot by click.- 2 Make a plot by ggplot2.- 3 Show Data Distribution.- 4 Scatter Plots(I).- 5 Scatter Plot(II).- 6 Logistic regression.- 7 Labeling points in a scatter plot.- 8 Making a 2D density plot.- 9 Draw 2-dimensional contours.- 10 Ballloon Plot.- 11 Cleveland Dot Plot.- 12 Wilkinson dot plot.- 13 Bar plot(I).- 14 Bar plot(II).- 15 Labelling a bar plot(I).- 16 Labelling a bar plot(II).- 17 Line Graph.- 18 Multiplot with error bars.- 19 Boxplot.- 20 Violin plot.- 21 Area plot.- 22 Polar Plot.- 23 Annotations.- 24 Add a Table Annotation.- 25 Adding the Regression Results in Scatter Plot.- 26 Heatmap.- Horizontal Boxplot.- 29 Drawing a Map.- Interactive Plot.