Exercise - Data Visualisation Tools

Activity Details

This page lists a number of Data Visualisation tools. Pick one of these tools using the signup sheet shared on the class group and prepare a 5 minute presentation on it. You can cover what it does, how to prepare your data, some examples of things you made with it. You can do this by yourself or in teams of 2.

Some of these tools will require some technical knowledge. If you know some programming or are willing to learn, go ahead and try out some tools like D3.js, Leaflet.js or Rshiny. Most other tools do not require programming knowledge, and this course will not focus on the technical aspect of data visualisation.

No-Code / Low-Code Tools

  1. Flourish  
  2. Tableau
  3. Infogram  
  4. ChartBlocks  
  5. Datawrapper  
  6. Power BI  
  7. Charticulator  
  8. RAWGraphs  
  9. Visme  
  10. Venngage  
  11. Piktochart  
  12. Orange  
  13. Google Data Studio  
  14. Palladio  
  15. Gephi  
  16. Carto  
  17. OpenRefine

Tools Requiring Programming Knowledge

  1. D3.js  
  2. P5.js  
  3. chart.js  
  4. Leaflet.js  
  5. dygraphs  
  6. Timeline.js  
  7. Candela  
  8. Rshiny  
  9. Circos  
  10. Plotly  
  11. Observable  
  12. Tangle  
  13. Mapbox  
  14. Google Charts

Due Date

Presentations on 14 Jan and 21 Jan 2025.

Submission Format

  • 5 minute presentation in class
  • Google Slides or PDF to be uploaded to the Class Google Drive