DHL publish a paper called the Global Connectedness Index that attempts to chart globalisation based on various metrics that can be used to infer global connectedness. Its quite long, but interesting and they produce two very cool graphics from it.
Attack maps are becoming a more common data visualisation with some great examples that have been doing the rounds here, here and here. I tackled a similar project that has been put on hold for now, but I really enjoyed making the map and I think its a fun interpretation. The version I put up shows the attack data for 1 May 2014.
One of the projects I worked on in 2013 gave me access to a large list of South African ID numbers. Since the South African ID number encodes the person’s birthdate into the first 6 digits, I realised it would be possible to make a South African version of this map of common birthdays in the US. I grabbed digits 3 – 6 (month and day) of each ID and discarded the rest to be safe. From there, its was simple enough calculate the frequency distribution. The US map only shows the ranking, not the actual distribution and so I have made an interactive version that does both:
One of the key attributes of good data visualisation is that it tells a story. The pictures can bring a narrative to life in what would otherwise be lost if you are just looking at numbers. This post from Sift Science is a great example of that:
“Just because the data is attached to a pretty infographic (or map or graph), does not make it true”
Needless to say this caused a big brouhaha and the Washington Post did an update saying that the results could be interpreted differently. Plus of course the originally published data had some massive errors. But it was too late, the map is out and people have made up their minds and moved on.
I know I’m late in posting this and in Internet terms its not just old news, its not news, but it is nice to show off something that puts South Africa in a positive light. Well, something that shows that survey respondents from South Africa decided to say the right thing.
This is an amazing visual explanation of Markov Chains, built using D3. I really like the way the playground works. It lets you generate your own chains and watch as the complexity increases as you add more states.
To be fair though, I tend to enjoying watching D3 rendering algorithms generally. Its cheaper than satellite TV and works on my phone too 🙂
Thank you to Brian for the link.
I found this fun visualisation of the anatomy songs from different musical genres. Its obviously not serious (or based on any actual data) but I like the implementation 🙂
It would be interesting to correlate this data with a location map to see just how widely distributed the attack was, similar to this one I built for the Security Presentation.