3. When to use data visualizations
and what kind of data?
What works? What doesn't?

4. WHY
Data Visualizations

6. Which data to Visualize
• Numerical data
• Non-numerical data
Also
• Discrete data (is counted)
• Continuous data (is measured)

7. Discrete Data
Contains certain values.
Example
The number of students in a class
(you can't have half a student)

9. Discrete data - still
• Number of children in a household
• Number of languages a person speaks
• Number of people sleeping in Parliament

10. Continuous data
• Time to complete a task
• Height
• Time to wake up in the morning
• Speed of the train
• Temperature

11. What to do with this data?

14. What works?
Graphical representation forms
• Graphs: Scatter graph, bar, chart, line, picture
etc
• Histograms
• Tag clouds
• Cartography – Designing Maps
• Infographics

15. Scatter Graphs

16. Bar Graph

17. Picture or symbols Graph
Number of pupils in Mbale going to School
Primary SchoolPre-school
University Post-grad
Number of books read by Paul in the school library

18. Maps
Designing Maps

21. Histograms

23. Tag Clouds

26. Interactive Visualisations

29. Infographics

32. Pattern, Story, Graphics

36. References - Links
Visualizing.org - http://www.visualizing.org
Visage - http://www.visage.co
Flowing Data - http://flowingdata.com
Information is beautiful - http://www.informationisbeautiful.net
Google Charts - http://code.google.com/apis/chart/
d3.js - Data-Driven Documents - http://d3js.org/
Ushahidi - http://www.ushahidi.com