Data Visualizations and Storytelling

4,362
-1

Published on

A presentation by Hjalmar Gislason, founder and CEO of DataMarket, at the fifth meetup of the Data Scientist Seminar Series in Boston.

Data Visualizations and Storytelling

  1. 1. F I N D A N D U N D E R S TA N D D ATAVisualizations & Storytelling Data Scientist Seminar Series Dec 3, 2012
  2. 2. Hjalmar Gislason Founder and CEOTwitter: @datamarketSlides: http://blog.datamarket.com/
  3. 3. TOPICS‣ Background and philosophy‣ Visualization types‣ Tools and technology‣ Storytelling - by example
  4. 4. NUMBERS drive our world
  5. 5. Finding and publishing numerical data is HARD
  6. 6. GOOGLE for numbers
  7. 7. Wasn’t this supposed to be aboutVISUALIZATION?
  8. 8. 109 columns x 340 lines =37.060 cells
  9. 9. One-off projects vs. ageneric solution
  10. 10. More than200,000,000 time series
  11. 11. 45.000+ data sets
  12. 12. 822 years 1279 - 2100
  13. 13. PHILOSOPHY1. Master the best-known chart types first.2. Play on them IF needed to communicate your message.3. If you’re inventing a new visualization type from scratch, you’re doing it wrong!4. Simplicity is the ultimate sophistication.
  14. 14. Infograph vs Data vis It’s a question of purpose!
  15. 15. DM’s Core Chart Types Basic type Variations Tables 2 Line charts 4 Bar and column charts 8 Scatter / bubble charts 2 Maps 1
  16. 16. Basic Table
  17. 17. Line charts
  18. 18. Relative Line Charts
  19. 19. Stacked Area Chart
  20. 20. 100% Stacked Area chart
  21. 21. Bar Chart
  22. 22. Clustered Bar Chart
  23. 23. Stacked Bar Chart
  24. 24. 100% Stacked Bar Chart
  25. 25. Column Chart
  26. 26. Stacked Column Chart
  27. 27. 100% Stacked Col. Chart
  28. 28. Current Values & Change
  29. 29. Pie Chart (Good)
  30. 30. Pie Chart (Bad)
  31. 31. Better than Pie Chart...
  32. 32. Scatter / BubbleBrand recognition Brand image
  33. 33. Choropleth Map
  34. 34. TOOL for the TASK
  35. 35. TOOLS One-off chartsTableau DataGraph R See also RStudio
  36. 36. TOOLSVideos & custom high-res graphics Processing
  37. 37. TOOLS Charts for the WebHighCharts gRaphaël
  38. 38. TOOLSSpecial Development Requirements Raphaël Protovis D3
  39. 39. STORYTELLING
  40. 40. http://vis.stanford.edu/files/2010-Narrative-InfoVis.pdf
  41. 41. TOPICS‣ Background and philosophy‣ Visualization types‣ Tools and technology‣ Storytelling - by example
  42. 42. F I N D A N D U N D E R S TA N D D ATA Hjalmar Gislason, founder & CEOTwitter: @datamarket · Facebook: DataMarket · E-mail: hg@datamarket.com
  1. A particular slide catching your eye?

    Clipping is a handy way to collect important slides you want to go back to later.

×