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.

01

Introduction to R and Data Visualisation

Coming soon

Content for Week 1 will be available soon.

02

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.

Course Materials

Lecture Slides

Week 2 — Population and Sample: frequency tables, proportions, and categorical charts in base R.

Notebooks & Labs

Week 2 Colab Exercise

Hands-on Colab notebook for Week 2 population, sample, and charting exercises.

03

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.

Course Materials

Lecture Slides

Week 3 — Visualising Numerical Variables: distributions, histograms, density plots, box plots, and chart selection.

Notebooks & Labs

Week 3 Colab Exercise

Hands-on Colab notebook for Week 3 numerical-variable visualisation exercises.

04

Week 4

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Content for Week 4 will be available soon.

05

Week 5

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Content for Week 5 will be available soon.

06

Week 6

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Content for Week 6 will be available soon.

07

Week 7

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Content for Week 7 will be available soon.

08

Week 8

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Content for Week 8 will be available soon.

09

Week 9

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Content for Week 9 will be available soon.

10

ggplot Fundamentals

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Content for Week 10 will be available soon.

11

Advanced ggplot

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Content for Week 11 will be available soon.

12

Review & Assessment

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Content for Week 12 will be available soon.