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data cleansing vs data cleaning

Both 'data cleansing' and 'data cleaning' are correct phrases used in the context of preparing data for analysis by removing or correcting errors, inconsistencies, and duplicates. They are interchangeable and widely accepted in the field of data management.

Last updated: March 28, 2024 • 663 views

This phrase is correct and commonly used in the context of preparing data for analysis.

"data cleansing"

The term 'data cleansing' refers to the process of detecting and correcting errors and inconsistencies in data to improve its quality for analysis.

Alternatives:

  • data cleaning
  • data scrubbing
  • data wrangling
  • data preprocessing
  • data quality management

This phrase is correct and commonly used in the context of preparing data for analysis.

"data cleaning"

The term 'data cleaning' is synonymous with 'data cleansing' and refers to the process of removing errors, inconsistencies, and duplicates from data to enhance its quality for analysis.

Alternatives:

  • data cleansing
  • data scrubbing
  • data wrangling
  • data preprocessing
  • data quality management

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