Data Visualization: Where (normal) people fall in love with data
Upcoming SlideShare
Loading in...5
×
 

Like this? Share it with your network

Share

Data Visualization: Where (normal) people fall in love with data

on

  • 3,821 views

A presentation by DataMarket's founder and CEO, Hjalmar Gislason at a Boston Data Visualization Meetup on April 5, 2012

A presentation by DataMarket's founder and CEO, Hjalmar Gislason at a Boston Data Visualization Meetup on April 5, 2012

Statistics

Views

Total Views
3,821
Views on SlideShare
1,062
Embed Views
2,759

Actions

Likes
1
Downloads
19
Comments
0

6 Embeds 2,759

http://blog.datamarket.com 2754
http://127.0.0.1 1
http://quidecco.com 1
https://si0.twimg.com 1
http://cloud.feedly.com 1
https://blog.datamarket.com 1

Accessibility

Upload Details

Uploaded via as Adobe PDF

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Processing…
Post Comment
Edit your comment

Data Visualization: Where (normal) people fall in love with data Presentation Transcript

  • 1. F I N D A N D U N D E R S TA N D D ATA Data Visualization- where (normal) people fall in love with data Boston Data Visualization Meetup April 5, 2012
  • 2. Hjalmar Gislason Founder and CEOTwitter: @datamarketSlides: http://blog.datamarket.com/
  • 3. TOPICS‣Why visualize data? ...and what we do‣Our requirements‣Our approach
  • 4. NUMBERS drive our world
  • 5. Finding and publishing numerical data is HARD
  • 6. GOOGLE for numbers
  • 7. “APP STORE” for numbers
  • 8. Wasn’t this supposed to be aboutVISUALIZATION?
  • 9. 109 columns x 340 lines =37.060 cells
  • 10. One-off projects vs.generic solutions
  • 11. More than150,000,000 time series
  • 12. 23.000+ data sets
  • 13. 822 years 1279 - 2100
  • 14. SELF-SERVICEdata publishing & insights
  • 15. OURREQUIREMENTS
  • 16. OUR STACK Visualization ??? Web (client) HTML5 / Javascript Web (server) DjangoServer + Connectors Python Database Postgres
  • 17. OUR STACK Visualization ??? Web (client) HTML5 / Javascript Web (server) DjangoServer + Connectors Python Database Postgres
  • 18. REQUIREMENTS
  • 19. REQUIREMENTFull control of look, feel and UI
  • 20. REQUIREMENT Browser compatibility
  • 21. REQUIREMENT iOS
  • 22. REQUIREMENT Vector based
  • 23. REQUIREMENT Server-side rendering
  • 24. REQUIREMENTS Full control of look, feel and UI Browser compatibility? iOS Vector based Server-side rendering
  • 25. PROTOVIS
  • 26. PROTOVISFull control of look, feel and UIBrowser compatibilityiOSVector basedServer-side rendering
  • 27. PROTOVISServer-side rendering
  • 28. PROTOVISServer-side rendering
  • 29. PROTOVISFull control of look, feel and UIBrowser compatibilityiOSVector basedServer-side rendering
  • 30. PROTOVISBrowser compatibility
  • 31. PROTOVISBrowser compatibility
  • 32. PROTOVISBrowser compatibility ?
  • 33. PROTOVISBrowser compatibility
  • 34. PROTOVISBrowser compatibility
  • 35. PROTOVISBrowser compatibility IE9 IE <9
  • 36. PROTOVISBrowser compatibility IE9 IE <9
  • 37. PROTOVISBrowser compatibility IE9 IE <9
  • 38. PROTOVISBrowser compatibility
  • 39. PROTOVISBrowser compatibilityProtovis SVG
  • 40. PROTOVISBrowser compatibilityProtovis Shim SVG VML
  • 41. PROTOVISBrowser compatibility
  • 42. PROTOVISBrowser compatibility
  • 43. PROTOVISBrowser compatibility
  • 44. PROTOVISFull control of look, feel and UIBrowser compatibilityiOSVector basedServer-side rendering
  • 45. PROTOVIS
  • 46. D3Supercool presentation: http://mbostock.github.com/d3/talk/20111018/#0
  • 47. PROTOVIS vs D3
  • 48. TOOL for the TASK
  • 49. TOPICS‣Why visualize data? ...and what we do‣Our requirements‣Our approach
  • 50. 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