A talk on theory & practice of Data Visualisation, presented at Chartered Institute of Marketing, Wales Analytics Masterclass. Held in Cardiff on 19 June 2018.

1. Data Visualisation
Paul Laughlin
Chief Blogger, CustomerInsightLeader.com
Founder, Laughlin Consultancy

2. Theory
#BadDataViz
Basic Charts
Resources
Need

3. The Need for Data Viz
(Part 1 of 5)

4. Why do we need Data Viz?

5. Anscombe’s Quartet

6. Different Types of Data

7. Range of Data Viz tools

8. Don’t be put off

9. Excel can do great things
Table of Contents 1
Jon Schwabish
POLICYVIZ.COM
A Guide to Advanced Data Visualization
EXCEL 2010

10. What is the Purpose?

11. Theory of Data Viz
(Part 2 of 5)

12. Choose your: Marks

13. Choose your: Channels

14. Choose carefully

15. 1 chart, many attributes
1 CATEGORICAL
1 QUANTITATIVE 2 QUANTITATIVE
1 CATEGORICAL
2 QUANTITATIVE
1 CATEGORICAL
3 QUANTITATIVE

16. Data Ethics
• Graphical Integrity
• Chart Junk
• Data-Ink = % of ink on page that conveys data
• Data Density = data values / area of graphic

17. Basic Chart Options
(Part 3 of 5)

18. 2 quant = Scatter Plot

19. Bar or Column charts

20. 1 ordinal = Line Chart

21. The right choice of Map

22. Other design options

23. Develop a palette

24. #BadDataViz
(Part 4 of 5)

25. What’s wrong with this?

26. What’s wrong with this?

27. What’s wrong with this?

28. What’s wrong with this?

29. What’s wrong with this?

30. Resources for your CPD
(Part 5 of 5)

31. Positive examples (awards)

32. Data Viz experts

33. customerinsightleader.com
laughlinconsultancy.com
@LaughlinPaul
linkedin.com/in/paullaughlin
paul@laughlinconsultancy.com
+44 (0)7446 958061
Any questions?