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 easy to read

Do use clear language and avoid acronyms

Try to use clear language in your chart title and descriptions. Avoid acronyms like 'MS' and use the extended form 'Member State' or even better, simply 'Country'. It is OK to use well-known abbreviations like EU or GDP, or those your audience understand clearly.