Hands-on Exercises
1. A Layered Grammar of Graphics - ggplot2 methods
2. Beyond ggplot2 Fundamentals
3a. Programming Interactive Data Visualisation with R
3b. Programming Animated Statistical Graphics with R
4a. Visualising Distribution
4b. Visualising Statistical Analysis
4c. Visualising Uncertainty
4d. Bulding Funnel Plot
5a. Building Ternary Plot with R
5b. Visual Correlation Analysis
5c. Visual Multivariate Analysis with Heatmap
5d. Visual Multivariate Analysis with Parallel Coordinates Plot
5e. Treemap Visualisation
6. Visualising and Analysing Time-oriented Data
7a. Choropleth Mapping, Geospatial Point Data, and Analytical Mapping
7b. Visualising Geospatial Point Data
7c. Analytical Mapping
8. Modelling, Visualising and Analysing Network Data with R
10. Information Dashboard Design - R methods
In-class Exercises
1. Now You See It
2. Horizon Plot
7. tmaps
9. Network Analysis
Take-home Exercises
Take-home Exercise 1 - Investigating Student Performance
Take-home Exercise 2 - DataVis Makeover
Take-home Exercise 3 - Be Weatherwise or Otherwise
Take-home Exercise 4 - Shiny App Prototype
Projects
Project PISA (Probing Influences on Singaporean Academia)
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