You did an experiment or a survey, or you collected data, and you are ready to analyse them. But what is the first step? Everyone will tell you that you have to visualise your data with graphs. Yes, but how? and why? What are the common pitfalls to avoid? We are very grateful to Marion Louveaux, bio-image data analyst for this combination, adaptation and translation of the two French articles “Les pièges de la représentation de données” and “Comment se passer d’un barbarplot ?”. Let’s imagine that your dataset contains the sizes of two groups of individuals, A and B. You want to know ifRead More →

Let’s welcome the viridis palette into the new version of {ggplot2}! Viri-what ? viridis is one of the favorite color palettes of one of the member of the team (guesswho). The viridis palette was first developed for the python package matplotlib, and has been implemented in R since. The strengths of this palette are that: plots are beautiful (which is good enough a reason to use it) colors are perfectly perceptually-uniform, even when printed in black and white (yes, people still print stuffs in 2018…) colors are perceived by the most common forms of color blindness (an important feature) This palette is now the default colorRead More →