This document discusses data visualization and provides guidance on best practices. It outlines the data visualization process from defining goals and gathering data to designing visualizations, developing them, and delivering the final product. It emphasizes that effective visualization tells a story that draws the viewer into the data. Common pitfalls and tools are also mentioned.

1. Data Visualisation
Ben Hosken
ben@flinklabs.com
@flinklabs

3. Melbourne trains

4. Mobile phone locates

5. Live Where?

6. Interactive visual representation
of data to improve cognition

7. Data telling stories

8. Exploration and Engagement

9. Good and Bad

10. Visual Cortex FTW

11. Accelerating data

12. 3 Vs of Big Data
Velocity
Volume Variety

13. Accelerating power

14. Changing expectations

15. Consumer devices leading the way

16. Tells a story you can interact with

17. Data Visualisation Process
Define Data Design Develop Deliver
Define the problem and Gather the Data Brainstorm ideas Develop "architecture Deliver final product
high level goals Load and explore data Sketch rough designs tracer bullet" Install software
Agree on scope and Produce data patterns Create concepts Code iterations of product Handover to client
timings Identify potential narrative Develop interactive Test and resolve issues Prepare support channels
Understand the target "hot spots" prototypes Conduct final QA Launch visualisation
audience and platforms Discuss with target Present alternatives Conduct post mortem
Kick off project audience

18. Audience
?

19. What is the action outcome!

20. Storytelling

21. Data’s Journey

22. Tell the story don’t just show the data

23. Draw the viewer into the data

24. Toiling in the Data Mines

25. Not just the averages

26. Get the basics right

27. Count the number of 5s
7 6 2 7 8 7 3 2 3 6
7 7 5 8 2 3 7 1 5 6
8 6 0 0 9 7 4 8 5 8
5 4 1 4 3 5 7 7 0 3
3 4 0 2 3 6 8 1 7 3
8 3 1 8 2 3 7 9 8 1
0 1 4 9 9 3 0 7 8 6
6 8 6 8 6 3 8 3 5 0
7 7 6 2 8 7 1 4 6 1
9 7 7 6 3 5 0 8 0 5
8 1 2 1 5 1 8 0 9 3

28. Count the number of 5s
7 6 2 7 8 7 3 2 3 6
7 7 5 8 2 3 7 1 5 6
8 6 0 0 9 7 4 8 5 8
5 4 1 4 3 5 7 7 0 3
3 4 0 2 3 6 8 1 7 3
8 3 1 8 2 3 7 9 8 1
0 1 4 9 9 3 0 7 8 6
6 8 6 8 6 3 8 3 5 0
7 7 6 2 8 7 1 4 6 1
9 7 7 6 3 5 0 8 0 5
8 1 2 1 5 1 8 0 9 3

29. Visual Encoding
Form Orientation Line Length Line Width Size
Shape Curvature Enclosure Motion
Colour Intensity Hue Position 2-D Grouping

30. Common Pitfalls

31. Tools

32. Hans Rosling Video