Data problems

Another nice Medium post from Benjamin Obi Tayo has a good summary of the types of issues you should always be mindful of when you get a new data set:

1. Wrong Data
2. Missing Data
3. Outliers in Data
4. Redundancy in Data
5. Unbalanced Data
6. Lack of Variability in Data
7. Loss of Data
8. Dynamic Data
9. Size of Data