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What is data cleansing?

5 years ago in Discussion By Raghav V

PhD Data

What exactly does data cleansing mean and how can I do it? Any suggestions?

All Answers (3 Answers In All)

By Preetham M Answered 5 years ago

Simply put, data cleansing is deletion of old or useless data from a data set. This method may use parsing or other methods to get rid of syntax errors, typographical errors or fragments of records.

By Renu Answered 5 years ago

Technically speaking, data cleaning, also called data cleansing, is the process of ensuring that your data is correct, consistent and useable by identifying any errors in the data and correcting or deleting them. Data cleansing has several benefits. It removes major errors and inconsistencies that are inevitable Fewer errors The ability to map the different functions and what your data is intended to do and where it is coming from your data.

By Rohini Singh Answered 5 years ago

The commonly followed data cleansing methods are: 1.Monitor Errors 2. Standardize Your Processes 3. Validate Accuracy 4. Scrub for Duplicate Data 5. Analyze Visit https://www.geotab.com/blog/data-cleaning/ to learn more about data cleaning methods

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