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Data Visualisation talk at CIM Wales Analytics Masterclass

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

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Data Visualisation talk at CIM Wales Analytics Masterclass

  1. 1. Data Visualisation Paul Laughlin Chief Blogger, CustomerInsightLeader.com Founder, Laughlin Consultancy
  2. 2. Theory #BadDataViz Basic Charts Resources Need
  3. 3. The Need for Data Viz (Part 1 of 5)
  4. 4. Why do we need Data Viz?
  5. 5. Anscombe’s Quartet
  6. 6. Different Types of Data
  7. 7. Range of Data Viz tools
  8. 8. Don’t be put off
  9. 9. Excel can do great things Table of Contents 1 Jon Schwabish POLICYVIZ.COM A Guide to Advanced Data Visualization EXCEL 2010
  10. 10. What is the Purpose?
  11. 11. Theory of Data Viz (Part 2 of 5)
  12. 12. Choose your: Marks
  13. 13. Choose your: Channels
  14. 14. Choose carefully
  15. 15. 1 chart, many attributes 1 CATEGORICAL 1 QUANTITATIVE 2 QUANTITATIVE 1 CATEGORICAL 2 QUANTITATIVE 1 CATEGORICAL 3 QUANTITATIVE
  16. 16. Data Ethics • Graphical Integrity • Chart Junk • Data-Ink = % of ink on page that conveys data • Data Density = data values / area of graphic
  17. 17. Basic Chart Options (Part 3 of 5)
  18. 18. 2 quant = Scatter Plot
  19. 19. Bar or Column charts
  20. 20. 1 ordinal = Line Chart
  21. 21. The right choice of Map
  22. 22. Other design options
  23. 23. Develop a palette
  24. 24. #BadDataViz (Part 4 of 5)
  25. 25. What’s wrong with this?
  26. 26. What’s wrong with this?
  27. 27. What’s wrong with this?
  28. 28. What’s wrong with this?
  29. 29. What’s wrong with this?
  30. 30. Resources for your CPD (Part 5 of 5)
  31. 31. Positive examples (awards)
  32. 32. Data Viz experts
  33. 33. customerinsightleader.com laughlinconsultancy.com @LaughlinPaul linkedin.com/in/paullaughlin paul@laughlinconsultancy.com +44 (0)7446 958061 Any questions?

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