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You can use data validation to restrict the type of data or values that users enter into cells. For example, you might use data validation to calculate the maximum allowed value in a cell based on a value elsewhere in the workbook.
The following steps are taken to perform data validation. To begin, a sample of data is determined. Next, the dataset needs to be validated to confirm it contains all the required data. Finally, the source datas value, structure, format etc. is matched with the schema of the destination.
Select the cell(s) you want to create a rule for. Select Data Data Validation. On the Settings tab, under Allow, select an option: Under Data, select a condition. Set the other required values based on what you chose for Allow and Data.
Data validation is the process of verifying the accuracy, consistency and reliability of data. It involves checking data against predefined criteria to ensure it meets quality requirements. Data validation works like a series of checkpoints along a data journey.
Data Validation Methods Be consistent and follow other data management best practices, such as data organization and documentation. Document any data inconsistencies you encounter. Check all datasets for duplicates and errors. Use data validation tools (such as those in Excel and other software) where possible.
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Data validation is the process of ensuring that user input is clean, correct, and useful. Typical validation tasks are: has the user filled in all required fields? has the user entered a valid date?

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