During my professional career I have never been told how to make good graphics although extracting essential information from datasets is an advanced (and necessary skill). Fortunately, however, there are some excellent books that cover graphical display. The first one I came across was Michael J Campbell and David Machins’ “Medical Statistics – A commonsense approach” (see pages 44ff and 58 for “increasing data ink”) that gives a lot of useful advices how to improve figures. The next book that I found influential was Bill Cleveland’s 1993 book “Visualizing Data” who introduced into R and S multidimensional lattice graphics (also covered 2005 in “R Graphics” of Paul Murrell published by Chapman & Hall/CRC). I used this technique extensively in my 2005 PLoS paper on the worldwide distribution of allergy. At the moment I am reading the new book “Graphics of large datasets” by Antony Unwin, Martin Theus, Heike Hofmann which seems to be finally the masterclass of displaying data. Yea, yea.

Addendum 1

An examples how to improve a barchart (yes – I resisted to start with a 3D barchart but the cluttering colors and grids are hopefully good to see).

Addendum 2

A new Nature Nascent entry: “The way we present genomic and proteomic data on the web sucks”

I visited the Deutsche Museum yesterday, where one of best attractions is the Foucault pendulum a 30 kg weight at a 60 m rope (the original at the Panthéon was 67 meter long and weights 28 kg). We could see, that the pendulum swings on a an elliptic course, hitting the conses always from the back. As we were told, the deviation of the pendulum is a function of latitude. The horizontal axis is the latitude from 90 degrees to 0 degrees latitude. The vertical axis shows the rate of precession in degrees per hour; positive for clockwise precession, negative for counterclockwise precession (the Coriolis effect seems to have a minor role). I wondered what might be the reason for the spin or chirality seen so often in nature. Most DNA has a right-hand screw (nevertheless there are hundreds of images on the net and many scientific papers) that show left-handed DNAs). Yea, yea.

Reading about science projects, glue projects and platform projects, all with minority, gender, public communication and ethics modules while including large administrative overheads, travel and meeting costs, I even wonder how much money is finally going to real research – careful experimentation and thoughtful interpretation. Some people seem to spend more time on creating logos than in study design, yea, yea.

It is has been assumed very often, however, there is not so much empirical research that studies sponsored by pharmaceutical companies are less likely to be published only if not showing a favorable outcome. Here is a study of 100 articles of the pulmonary/allergy literature that supports this view. Yea, yea.

-moblog- The next Lancet will publish my editorial on the b2AR and asthma association – “Has all been said?” This is to honour my favorite comedian Karl Valentin “It has all been said – but not by everybody”.

I have to confess that I wanted a completely different title “Search and rescue after the avalanche” where I described the tedious work to find all buried corpses under tons of snow – in analogy for the many genetic association studies – fearing already the next avalanche of genomewide SNP scans. Renember – very dangerous – steep 45o slopes, North West and new snow. Yea, yea.