17.  What should a data analyst do with missing or suspected data?

A data analyst need to:

1. Use data analysis strategies like deletion method, single imputation method and model based methods to detect missing data.

2. Prepare a validation report containing all information about the suspected or missing data

3. Scrutinize the suspicious data to assess their validity.

4. Replace all the invalid data (if any) with a proper validation code.