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

In such a case, a data analyst needs to:

  • Use data analysis strategies like deletion method, single imputation methods, and model-based methods to detect missing data.
  • Prepare a validation report containing all information about the suspected or missing data.
  • Scrutinize the suspicious data to assess their validity.
  • Replace all the invalid data (if any) with a proper validation code.