wcfollows2 + high-res version

Visualizing Follower Growth at Twitter

I worked with the Visual Insights team of Data Science and Analytics over at Twitter this year as a data visualization scientist. My work here largely involved analyzing and narrating large and interesting data sets (or colloquially ‘big data’) in an understandable manner to general audience visually.

I worked on two projects there –

World Cup Team followers

This was a project was shipped on the Twitter Interactive website. I made this because I was working at Twitter during the 2014 World Cup. This project involved doing research on what forms of visualization strategies work for large datasets which ended up being the choices that needed to be made. e.g. binning vs overlaying; saturation vs multiplicity etc. Follow the link to see the project –

VIT (Verified accounts) followers

This was a similar project to the one above but focused primarily on Verified users and their follower growth. I made an internal tool to help other teams work with this data both for online as well as print media.

Some of the images are obfuscated and taken out of context for privacy concerns.

  • Follower map of some VIT (Very Important Tweep!).
  • Screen Shot 2014-08-20 at 12.05.29 PM
  • Screen Shot 2014-08-20 at 12.06.06 PM
  • Screen Shot 2014-08-20 at 12.07.00 PM
  • Screenshot of the tool I made to export comparative visualization for print media.
  • Screen Shot 2014-12-03 at 9.15.37 PM
  • Screen Shot 2014-12-03 at 9.16.09 PM
  • Screen Shot 2014-12-03 at 9.17.13 PM
  • Screen Shot 2014-12-03 at 9.19.59 PM


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