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D3 Data Visualization JSinSA

D3 Data Visualization JSinSA

Today there is a lot of talk about big data and data science.
A critical tool to using that data is to be able to see the data in a meaningful visualization to gather insights about it. D3JS has become the goto Javascript solution for doing everything from creating a simple graph to powerful interactive visualizations.

This talk will cover the basics to data visualization, d3 basics with examples as well as some strategies for moving from simple to complex data visualizations in your application.

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Lance Gleason

June 29, 2013
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Transcript

  1. JSinSA 2013 Saturday, June 29, 13

  2. Introductions Saturday, June 29, 13

  3. Twitter @lgleasain Github lgleasain www.lancegleason.com www.polyglotprogrammincinc.com lgleason@polyglotprogramminginc.com Saturday, June 29,

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  4. Saturday, June 29, 13

  5. Saturday, June 29, 13

  6. Saturday, June 29, 13

  7. Saturday, June 29, 13

  8. http://www.polyglotprogramminginc.com/purr- programming-2-0/ Saturday, June 29, 13

  9. ? Saturday, June 29, 13

  10. Saturday, June 29, 13

  11. Saturday, June 29, 13

  12. Saturday, June 29, 13

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  14. Saturday, June 29, 13

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  20. Saturday, June 29, 13

  21. Saturday, June 29, 13

  22. Saturday, June 29, 13

  23. Nearly ALL sick people have eaten PEAS (obviously then, the

    effects are cumulative). Saturday, June 29, 13
  24. An estimated 99.9% of all people who die from cancer

    or heart attacks have eaten PEAS. Saturday, June 29, 13
  25. Another 99.9% of people involved in auto accidents ate PEAS

    within 60-days before the accident. Saturday, June 29, 13
  26. Among people born in 1839 who later dined on PEAS,

    there has been a 100% mortality rate Saturday, June 29, 13
  27. Peas Will Kill You Saturday, June 29, 13

  28. Data Science Saturday, June 29, 13

  29. Saturday, June 29, 13

  30. Saturday, June 29, 13

  31. Saturday, June 29, 13

  32. Saturday, June 29, 13

  33. Saturday, June 29, 13

  34. Analytics Saturday, June 29, 13

  35. Saturday, June 29, 13

  36. Saturday, June 29, 13

  37. ? Saturday, June 29, 13

  38. Which Customers Bought the Most? Saturday, June 29, 13

  39. Which Will Buy the Most? Saturday, June 29, 13

  40. http://www.kaggle.com/c/titanic-gettingStarted Saturday, June 29, 13

  41. Analytics Saturday, June 29, 13

  42. Visualization Saturday, June 29, 13

  43. Sparse Data Saturday, June 29, 13

  44. Insights Saturday, June 29, 13

  45. Trends Saturday, June 29, 13

  46. NVD3 Saturday, June 29, 13

  47. Saturday, June 29, 13

  48. D3JS Saturday, June 29, 13

  49. Saturday, June 29, 13

  50. Saturday, June 29, 13

  51. Saturday, June 29, 13

  52. Saturday, June 29, 13

  53. SVG Saturday, June 29, 13

  54. SVG Canvas Saturday, June 29, 13

  55. Saturday, June 29, 13

  56. •Internet Explorer 9 and 10 •Chrome 24, 25, and 26

    •Safari 5 and 6 •Firefox 19, 20, and 21 •Flash 9, 10, and 11 (if you want to use the audio/video recording or viewing feature or upload files) Saturday, June 29, 13
  57. Saturday, June 29, 13

  58. Why? Saturday, June 29, 13

  59. Saturday, June 29, 13

  60. Powerful Saturday, June 29, 13

  61. Powerful Great Support Saturday, June 29, 13

  62. Powerful Great Support Free Saturday, June 29, 13

  63. Saturday, June 29, 13

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  65. Saturday, June 29, 13

  66. Saturday, June 29, 13

  67. NVD3 For Easy Stuff Saturday, June 29, 13

  68. D3JS for loads of flexibility Saturday, June 29, 13

  69. Limit Your Dataset for performance Saturday, June 29, 13

  70. Don’t overwhelm with too much information Saturday, June 29, 13

  71. Be Wary of N of 1 Experiments Saturday, June 29,

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  72. A Special Thanks to Codeguard for the t-shirts http://www.codeguard.com Saturday,

    June 29, 13
  73. Twitter @lgleasain Github lgleasain www.lancegleason.com www.polyglotprogrammincinc.com lgleason@polyglotprogramminginc.com Saturday, June 29,

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