In data transformation, what is the purpose of data cleansing?
- To compress data for storage
- To convert data into a readable format
- To encrypt sensitive information
- To remove redundant or inaccurate data
The purpose of data cleansing in data transformation is to identify and remove redundant, inaccurate, or inconsistent data from the dataset. This ensures that the data is accurate, reliable, and suitable for analysis or other downstream processes.
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