Question - What is the difference between data cleaning and data transformation?
Answer -
Data cleaning is the process that removes data that doesn’t belong in your dataset. Data transformation is that the method by which data from one format or structure converts into another. Transformation processes also can be mentioned as data wrangling or data mugging, transforming, and mapping data from one “raw” data form into another format for warehousing and analyzing. This text focuses on the processes of cleaning that data.