Obviously with the results of the general election announced my mind turns to analysis and visualisation. I had/have been looking at this for a while, and here are my notes. Actually this is an index entry as much of what I had found is catalogued in the two related posts below/overleaf. … Continue reading “Visualising electoral data again”
My last post, Looking at the local election results, reminded me that I had been looking at how to visualise political data. Here are my notes. … Continue reading “Visualising Electoral Data”
This is an omnibus article on data visualisation using maps. I went back to map visualisation solution in the autumn of 2014. This maps tag retrieves the the articles on this wiki. My current interests is in web hosted maps visualisations and thus in wordpress. I have also found this article, 10 Free Tools For Creating Your Own Maps. A couple of these look very interesting. UMapper and HeatMaps look rather fun. I have also experimented with Tableau Software’s public aka community release. Continue reading “About Maps and Data”
See http://www.triptropnyc.com/
They say “extraordinarily pretty subway maps from anywhere to everywhere in new york city”.
The author documents his technology. I wonder how hard it’d be to build a house price database
The author says
As for the programming bits, it was a rag-tag team of scripts consisting of Ruby, Python (NumPy, SciPy, matplotlib), PHP, and ImageMagick all popped onto a couple hundred EC2 instances, running computations on a few gigs of MySQL tables. Distances and image overlays were precomputed for about 128k points in NYC and then moved over to S3 for safekeeping. Web stuff is all Sinatra and (of course) Google Maps. Datawise, station-to-station commute time is from the Metropolitan Transit Authority, and walking calculations are via Manhattan distance at 3mph.
Keywords: Visualisation, Geography, NYC, travel, HTML, Technology