Description
Messy tabular data can be cleaned, transformed, and reconciled in a dedicated data-preparation tool. This helps analysts improve spreadsheets and datasets before analysis or import.
Data-cleaning tools can change many records at once and may expose sensitive data through extensions or services. Back up projects and review transformations before export.