tag:blogger.com,1999:blog-8123225361504762353.post1962500283140437288..comments2024-03-26T21:54:22.713-07:00Comments on Cartonerd: Spreading Light, Wasting LightKenneth Fieldhttp://www.blogger.com/profile/16738467752479352030noreply@blogger.comBlogger1125tag:blogger.com,1999:blog-8123225361504762353.post-41346854800548163042014-06-02T01:17:19.294-07:002014-06-02T01:17:19.294-07:00Thanks Kenneth for taking the time to write this —...Thanks Kenneth for taking the time to write this — you have written about this before so I know it’s something you obviously care about.<br /><br />However, as the creator of most of these maps, there’s a few things I would raise.<br /><br />Firstly, I wouldn’t overthink these. Both maps had a really simple purpose that animating them over time worked to do:<br /><br />- The Robert Downey Jr map was about showing how quickly RDJ’s followers grew on Twitter around the globe in the first moments after his first Tweet<br />- The FA cup final map was about showing the geographic spread of a UK event for both team. What it did need was annotation; which was something we managed to do for the Champions League final a week later: http://t.co/EacngwWvh1<br /><br />There’s a number of issues here: if you want to show tweets geographically, over time, then Carto DB is the best way to do it, there really isn’t a better tool for the non-developer to use.<br /><br />And that is a real issue: why aren’t there more visualization tools or techniques for showing Twitter Data? I would love some more options, and maybe this is something you could turn your column to — how would you illustrate this data? I’d love to see it.<br /><br />Sure, we could probably tell these stories with a line chart; but what kind of boring world would that be? <br /><br />One thing is certain: during the world cup we will use Carto DB again to tell compelling visual stories around games. We may even see you write this column again.Anonymousnoreply@blogger.com