data visualisation
Lazy D3 on some astronomical data
I can’t claim to be anything near an expert on D3 (a JavaScript library for data visualisation) but being both greedy and lazy I wondered if I could get some nice results with minimum effort. In any case the hardest thing about D3 for a novice to the world of web design seems to be … Continue reading
Clegg vs Pleb: An XKCD-esque chart
I saw an interesting “challenge” on StackOverflow last night to create an XKCD style chart in R. A couple of hours later & going in a very similar direction to a couple of the answers on SO, I got to something that looked pretty good, using the sin and cos curves for simple and reproducible … Continue reading
Why are pirates called pirates?
In homage to International Talk Like a Pirate Day… I recently stumbled across a series of blog posts from the folks at IDV that visualised the archive of recorded pirate attacks which has been collected by the US National Geospatial-Intelligence Agency. It’s a dataset of 6000+ pirate attacks which have been recorded over the last 30 … Continue reading
Graphing the history of philosophy
This one came about because I was searching for a data set on horror films (don’t ask) and ended up with one describing the links between philosophers. To cut a long story very short I’ve extracted the information in the influenced by section for every philosopher on Wikipedia and used it to construct a network … Continue reading
D3 – another acronym to learn
D3 (which stands for data driven documents ) has been getting a lot of traction over the last few months, with more and more interactive and animated visualisations using this JavaScript library. The author of the library, Mike Bostock, is very active in both developing the library and also in providing a constant stream of … Continue reading
Visualising the Path of a Genetic Algorithm
We quite regularly use genetic algorithms to optimise over the ad-hoc functions we develop when trying to solve problems in applied mathematics. However it’s a bit disconcerting to have your algorithm roam through a high dimensional solution space while not being able to picture what it’s doing or how close one solution is to another. … Continue reading
Posts we like
- What Facebook Knows - Technology Review
- Use Decision-Driven Visualization to Activate (Big) Data by Lee Feinberg - BeyeNETWORK
- Wallpapering Fog: It's never been about the data
- Twitter Data Scientist Takes on McDonald's Entire Menu, Survives - Technology Review
- Obama Campaign’s Vast Effort to Re-Enlist ’08 Supporters - NYTimes.com
