It’s been way too long since my last post. I wanted to create something to post, but a few rather busy projects at work and moving to a new home had a big impact on my creativity, as in, I was left with none…
Like I wrote in one of my previous posts on the creation of a “self organizing map” program in R, I really wanted the results of a SOM visualized in a hexagonal heatmap, so I wrote my own piece of code for it.
The last few weeks I’ve been spending some of my time on creating several visualizations of the data from a Global Mobile Consumer Survey that my company, Deloitte, performed during the spring. The results are being analysed right now and will eventually be published. I was given a free reign on what those illustrations should be, as long as they looked cool and would engage the reader. Well, what better opportunity to play around some of the more exotic d3 graphs and get paid for it!
In the previous post I explained how to create a hexagonal heatmap. For example to use as output for a self organizing map. I like to create rather large maps with a lot of hexagons if I have enough data. It gives the idea of a high resolution. In that case it’s very useful to divide the entire map into a manageable number of higher level segments.
In my previous post I spoke a bit about a program I wrote in R that helps me perform self organizing map (SOM) analyses and create heatmaps. From the cleaned data file all the way to the visualization and analysis of the heatmaps.