Dos and Don’ts of Data Visualisation
Whether on purpose or not, a statistician can mislead an audience with a chart. This article explains some chart design principles and common mistakes novice data analysts make. Think about the statistical charts you have seen on billboards, in the news, and in research studies. Using these principles as a guide, would you classify any of those charts as misleading? Be sure to take note of the suggestions for successful dashboards.
Make charts correct
Do use consistent intervals on axis (be transparent on data gaps)
Be clear when some data are missing. Explain the reason why. Use the full axis and do not skip values when you have numerical data.
