What are common problems with data?
A)dirty data
B)either too fine or too coarse
C)inconsistent data
D)missing values
E)all of the above

Question

Quizplus · Accepted Answer

All of the listed problems are common with data. Dirty data refers to data that is inaccurate, incomplete or corrupted. Data can also be too fine or too coarse, meaning that it is either too specific or not specific enough for the intended purpose. Inconsistent data refers to data that is not compatible with other related data or defies logical rules. Missing values refer to instances where data is not available for one or more variables.

What Are Common Problems with Data