- things to look for:
- – wrong visualization type for the data
– too complex for the data
– mismatch between changes in data and visuals
– no point of entry — too complex
– misleading — tells facts that are not in the data
– math mistakes
– meaningless color
– not color safe
– using continuous color scale for discrete data
– chart junk
– inconsistent or lacking scales
– difficult to read labels / text
– wrong use of zero point