Question

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.

Answer 1

The top two issues are as follows:

1.Displaying excessive datail or precision
2.Highlighting Important data ineffectively or not at all

The above needs to be fixed on high priority because the first deals with excessive amount of data
and it is not easy for people to appreciate or undertand the data when lots of details are present
and the second deals with focussing on the importatnt data as not all the data may be intresting
of that significant as compared to certain important data which needs more focus and attention.

The rest of the list is as follows:

3.Choosing inappropriate display media.
4.Using poorly designed display media.
5.Exceeding the boundaries of a single screen
6.Supplying inadequate context for data
7.Arranging data poorly
8. Choosing a deficient measure
9.Encoding quantitative data inaccurately
10.Cluttering the display with meaningless decoration
11.Introducing meaningless variety.
12.Misusing or overusing color
13. Designing an unattractive visual display