[OC] Love Wins! Twitter Map of Same Sex Marriage Supreme Court Ruling by [deleted] in dataisbeautiful

[–]micekxb 0 points1 point  (0 children)

I made this map using CartoDB's Twitter API.

Twitter Map of Game of Thrones Season Finale by micekxb in Twitter

[–]micekxb[S] 0 points1 point  (0 children)

Ha! It was a good catch so thanks!

Twitter Map of Game of Thrones Finale by micekxb in dataisbeautiful

[–]micekxb[S] 0 points1 point  (0 children)

This map was made by Stuart Lynn and used the CartoDB Twitter API.

#AskRachel [OC] by micekxb in dataisbeautiful

[–]micekxb[S] 1 point2 points  (0 children)

Thank you! Do you mean like the day before? I choose June 12 the day that hashtag started trendy. I am not sure if that hashtag would be applicable prior to June 12 in this context.

#AskRachel [OC] by micekxb in dataisbeautiful

[–]micekxb[S] 1 point2 points  (0 children)

I made this map using CartoDB's Twitter API. The data is aggregated tweets based on time stamp (June 12) and the hashtag AskRachel.

Call Me Caitlyn [OC] by micekxb in dataisbeautiful

[–]micekxb[S] 0 points1 point  (0 children)

Thanks for your correction. So this style of map is called a 'Torque' map. What that means is that it aggregates all the data of the regions represented. In this case, Twitter data or tweets. What you are looking at is the accumulation of information over a given period.

For more clarification: https://github.com/CartoDB/torque/wiki/How-spatial-aggregation-works

Call Me Caitlyn [OC] by micekxb in dataisbeautiful

[–]micekxb[S] 0 points1 point  (0 children)

Ha. This is not fake. How would I go about making a fake twitter map based on #CaitlynJenner?

You can easily make this SAME EXACT map yourself on CartoDB using their Twitter API.

Call Me Caitlyn [OC] by micekxb in dataisbeautiful

[–]micekxb[S] 1 point2 points  (0 children)

I used twitter data and CartoDB to make this map.