Common Mistakes in Data Visualization and How to Avoid Them
This article outlines eight typical data‑visualization errors—such as misleading color contrast, overly dense charts, omitted baselines, deceptive labels, wrong chart types, spurious correlations, selective data highlighting, and improper 3D usage—and provides practical guidance on how to prevent each mistake to create clear, accurate visual stories.