Data visualisation pitfalls: how to avoid barbarplots ? - (en) The R Task Force
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 →