Published
Sep. 9, 2019 3:34 PM
As part of last week's topic on representations and visualization in the data science course, professor Johan Braeken again organized a “really bad data graphics” competition. All students entered at least one graphic of their own finding to the pool of candidates and then there was a big joint evaluation round in class to judge which ones were the worst of the worst!
The evaluation system was motivated on guidelines from the literature and can be summarized in bullet points as follows:
- Gestalt principles & visual structure
- Keep it simple: Decoding & Operations
- Less is more: Chartjunk & data-ink ratio
- Graphical data integrity & lie factor
- Annotation & stand-alone readability
These bullet points were the ammunition for a lively discussion.