1. Exceeding the boundaries of a single screen. 2. Supplying inadequate context for data. 3. Displaying excessive detail or precision. 4. Choosing a deficient measure. 5. Choosing inappropriate display media. 6. Introducing meaningless variety. 7. Using poorly designed display media. 8. Encoding quantitative data inaccurately. 9. Arranging data poorly. 10. Highlighting important data ineffectively, or not at all. 11. Cluttering the display with meaningless decoration. 12. Misusing or overusing color. 13. Designing an unattractive visual display.
Of the 13 common mistakes practices in data visualization that Few accounts for, discuss what you think the top 2 are to fix when creating a dashboard. Provide feedback to your classmates regarding your thoughts on their prioritization of the list.