TEC3100: Data Visualization with R
Learn to explore, summarise, and visualise data with R — from populations and samples through frequency charts, continuous distributions, and ggplot.
Introduction to R and Data Visualisation
Coming soon
Content for Week 1 will be available soon.
Population and Sample
Week 2
This week covers populations vs samples, frequency and relative frequency, and visualising categorical and discrete data with bar and needle charts in base R.
Visualising Numerical Variables
Week 3
This week focuses on visualising numerical variables, including continuous distributions, histograms, density plots, box plots, and choosing an appropriate chart for the data.
Week 4
Coming soon
Content for Week 4 will be available soon.
Week 5
Coming soon
Content for Week 5 will be available soon.
Week 6
Coming soon
Content for Week 6 will be available soon.
Multivariate Visualisation
Week 7
This week covers visualising multivariate data, exploring relationships among variables, and selecting effective plots for communicating complex patterns.
Missing Values, Imputation and Interpolation
Week 8
This week covers identifying and handling missing values, including practical imputation and interpolation techniques for preparing data for analysis.
Aggregates and Joining Tables
Week 9
This week covers aggregating data and joining tables in R.
ggplot Fundamentals
Lecture slides available
Advanced ggplot
Lecture slides available
Review & Assessment
Coming soon
Content for Week 12 will be available soon.