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DATA CLEANING PROCESS
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What is data cleaning process?
Data cleaning process refers to the process of identifying and correcting errors or inconsistencies in data to improve its quality.
Who is required to file data cleaning process?
Any organization or individual that deals with data and wants to ensure its accuracy and reliability is required to file data cleaning process.
How to fill out data cleaning process?
To fill out a data cleaning process, one must first identify the errors or inconsistencies in the data, and then take steps to correct them using various data cleaning techniques.
What is the purpose of data cleaning process?
The purpose of data cleaning process is to ensure that the data used for analysis or decision-making is accurate, reliable, and consistent.
What information must be reported on data cleaning process?
The information reported on data cleaning process typically includes details about the errors or inconsistencies identified, the steps taken to correct them, and the impact of the data cleaning process on the overall data quality.
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