Toronto Data Science Group – A Survey of Data Visualization Techniques and Practice

February 23, 2014
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(This article was first published on everyday analytics, and kindly contributed to R-bloggers)

Recently I spoke at the Toronto Data Science group. The folks at Mozilla were kind enough to record it and put it on Air, so here it is for your viewing pleasure (and critique):


Overall it was quite well received. Aside from the usual omg does my voice really sound like that?? which is to be expected, a couple of thoughts on the business of giving presentations which were quite salient here:

  • Talk slower and enunciate
  • Gesture, but not too much
  • Tailor sizing and colouring of visuals, depending on projection & audience size

I've reproduced the code which was used to create the figures made in R (including the bubble chart example, with code and data from FlowingData), which regrettably at the time I neglected to save:

The visuals are also available on Slideshare.

Lessons learned: talk slower, always save your code, and Google stuff before starting - because somebody's probably already done it before you.

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