Data Visualisation

Best practices in data visualization

Sébastien's last post presented a hard-to-understand graph. The Venn diagram with four sets is a good example of visualization gone wrong. Good practices in data visualization is a hot topic right now. Not just in science, but in multiple areas such as journalism and business intelligence. Indeed, the crowd was quite heterogeneous at the first Visualisation Montréal meeting in August where more than 100 persons showed up! And the free ebook that was launched at the meeting targets beginners from all fields. [...]

By | 2016-11-08T09:30:16+00:00 October 31, 2014|Categories: Data Visualisation|0 Comments

Venn diagrams: a visualization nightmare!

I was recently reading a paper (a very inspiring read mapper for RNA-Seq!).  At some point the authors wanted to present the overlap between splice junctions detected by 4 RNA-Seq read mappers and choose to do so using the ubiquitous Venn diagram (see Fig. 1).  I spent a few minutes staring at this colorful mosaic...  without gaining much insight. Fig. 1:  Example of a four-way Venn diagram. Reproduced from figure 4b of Genome Biology, 14(3):R30, 2013. Which mappers overlapped most in [...]

By | 2016-11-08T09:30:16+00:00 October 20, 2014|Categories: Bioinformatics, Data Visualisation, Statistics|0 Comments

Teach me how to box-plot!

Boxplots are everywhere! Publishers like boxplots.  But ask some people and most don't even know what a boxplot represents!  Recently I wanted to examine gene expression data between two samples for a certain gene. The gold standard to look at it would be *drum roll*... A boxplot! Interesting fact #1: Did you know a boxplot is called a “box and whiskers plot” as well?  Let's take a look! A boxplot is easily generated in the analysis software R and its interpretation [...]

By | 2016-11-08T09:30:17+00:00 September 21, 2014|Categories: Data Visualisation, R, Statistics|0 Comments