Dealing with many dimensions in historical data: Tracking cooperation & conflict patterns over space and time in RR · ggplot2 · gganimate
This content was first published on The Data Team @ The Data Lab blog. For this post, I’ve managed to find some extremely interesting historical event data offered by the Cline Center on this page. As you will see, this dataset can be quite challenging because of the sheer number of dimensions you could look at. With so many options, it becomes tricky to create visualisations with the ‘right’ level of granularity: not so high-level that any interesting patterns are obscured, but not too detailed and overcrowded either.
R · ggplot2 · ggmap
This content was first published on The Data Team @ The Data Lab blog. I’ve recently come across data.gov — a huge resource for open data. At the time of writing, there are close to 17,000 freely available datasets stored there, including this one offered by the LAPD. Interestingly, this dataset includes almost 1.6M records of criminal activity occurring in LA since 2010 — all of them described according to a variety of measures (you can read about them here).