Publications by Dr. Kai Cao
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Install and Launching R Packages This code chunk install the basic tidyverse packages and load them onto RStudio environment. packages = c('tidyverse') for(p in packages){ if(!require(p, character.only = T)){ install.package(p) } library(p, character.only = T) } ...
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Lesson 11 Network Visualization
1.0 Overview In this hands-on exercise, you will learn how to visualising network data using R. By the end of this hands-on exercise, you will be able to: create graph object data frames, manipulate them using appropriate functions of dplyr, lubridate, and tidygraph, build network graph visualisation using appropriate functions of ggraph, comput...
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Lesson 10 Choropleth Mapping with R
1.0 Overview Choropleth mapping involves the symbolization of enumeration units, such as countries, provinces, states, counties or census units, using area patterns or graduated colors. For example, a social scientist may need to use a choropleth map to portray the spatial distribution of aged population of Singapore by Master Plan 2014 Subzone B...
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Lesson 9 Heatmap Visualisation with R
1.0 Overview Heatmaps visualise data through variations in colouring. When applied to a tabular format, heatmaps are useful for cross-examining multivariate data, through placing variables in the columns and observation (or records) in rows and colouring the cells within the table. Heatmaps are good for showing variance across multiple variables,...
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Lesson 9 Parallel Coordinates Plot
1.0 Overview Parallel coordinates plot is a data visualisation specially designed for visualising and analysing multivariate, numerical data. It is ideal for comparing multiple variables together and seeing the relationships between them. For example, the variables contribute to Happyness Index. In this hands-on exercise, you will learn how to pl...
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Lesson 9 Ternary Plot
1.0 Overview Ternary plots are a way of displaying the distribution and variability of three-part compositional data. (For example, the proportion of aged, economy active and young population or sand, silt, and clay in soil.) Its display is a triangle with sides scaled from 0 to 1. Each side represents one of the three components. In this hands-o...
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Lesson 9 Visualizing Correlation Matrix
1.0 Overview Correlation coefficient is a popular statistic that use to measure the type and strength of the relationship between two variables. The values of a correlation coefficient ranges between -1.0 and 1.0. A correlation coefficient of 1 shows a perfect linear relationship between the two variables, while a -1.0 shows a perfect inverse rel...
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