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.

---

This episode is sponsored by
· Anchor: The easiest way to make a podcast. https://anchor.fm/app