Photos from the weekend’s riding. From Swains Lane in Highgate on Saturday, to the open roads of Essex on Sunday.
Syro in Stokey
it’s WoodYO! by ccvalentin
This video, not the research, completely passed me by when originally posted via gilgul
Remember our project with James Murphy that turned tennis match data into music? Now James is remixing his favorite matches for an upcoming album. And the award for Best Musical Remix Made With Real-Time Professional Tennis Data goes to…duh…us. Listen here→
Breakfast with a side of organised labour.
At Vidcon, thousands of teenagers line up to see their favorite YouTube celebs—and learn how to be more like them.
n one of our earlier blog posts we showed some analytics for Starbucks during the period Aug 1 2013 - Aug 15 2013. Today, we wish to use the same data and show how tightly knit the Starbucks community is.
We took all the ~200000 images we found during that period and saw which user liked or commented on which user’s photograph in that group of pictures. We then threw this data at Google charts and chose to highlight only the top 15 engagers. Remember that this data is based on true engagement metrics like likes and comments, and not merely friendships on Instagram.
The original graph we produced had over 60000 nodes. We pruned it down heavily so that the visualisation makes some sense. A more dense graph (more edges) for a brand signifies a more organic community and a better chance of getting your brand message across to reach virality. Brands which pay to get followers will have a lower edge/node ratio.