After a long 12 months of pouring my soul into it, my book, Data Analysis with R, was finally published. After the requisite 2-4 day breather, I started thinking about how I was going to get back into the swing… Continue reading →
After a long 12 months of pouring my soul into it, my book, Data Analysis with R, was finally published. After the requisite 2-4 day breather, I started thinking about how I was going to get back into the swing… Continue reading →
I spent the afternoon making a D3-based interactive version of the graphs of car crash statistics by state that I’d discussed yesterday: my attempt to improve on the graphs in Mona Chalabi‘s post at 538. See it in action here. Code on gith...
I’ve been working on an R package, R/qtlcharts, with D3-based interactive graphs for quantitative trait locus mapping experiments. Testing the interactive charts it produces is a bit of a pain. It seems like I pretty much have to just open a series of examples in a web browser and tab through them manually, checking that […]
Sometimes I just want to quickly make a simple D3 JavaScript directed network graph with data in R. Because D3 network graphs can be manipulated in the browser–i.e. nodes can be moved around and highlighted–they're really nice for data...
I’ve created another D3 example, of QTL analysis for a phenotype measured over time. (Click on the image for the interactive version.) The code is on github. It took me about a day. The hardest part was figuring out the right data structures. A pixel here is linked to curves over there and over there […]
I’ve come to believe that, for high-dimensional data, visualizations (aka graphs), and particularly interactive graphs, can be more important than precise statistical inference. We first need to be able to view and explore the data, and when it is unusually abundant, that is especially hard. This was a primary contributor to my recent embarrassments, in […]
I just finished an interactive eQTL plot using D3, in preparation for my talk on interactive graphics at the ENAR meeting next week. The code (in CoffeeScript) is available at github. But beware: it’s pretty awful. The hardest part was setting up the data files. Well, that plus the fact that I just barely know […]
I’m making some progress learning D3 (for interactive graphics), by which I mean I’ve gotten a couple of examples to work. Many box plots First, an example for displaying many distributions. Here I’m considering a set of nearly 500 gene expression microarrays, each with 40,000 or so measurements. It’s hard to look at 500 box [...]
Here’s a sneak peak into upcoming visualisation work. I’ve been working a bit on MDS (Multi-dimensional scaling), a classical technique for visualising distance data. Classical MDS is useful, but interactive MDS is *much* more useful. Using D3, a Javascript visualisation framework, it’s relatively easy to make interactive MDS plots. This example shows how basic interaction […]
Mash-up Airlines Performance Data with Historical Weather Data to Pinpoint Weather Related DelaysFor this exercise, I combined following four separate blogs that I did on BigData, R and SAP HANA. Historical airlines and weather dat...
