The data on which operation is to be performed is called as
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checking of operation on input data is known as validation data
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The data on which opertaion is to be performed is called as Validation of Data.
Explanation:
- Data validation means checking the accuracy and quality of source data before using, importing or otherwise processing data.
- Different types of validation can be performed depending on destination constraints or objectives. Data validation is a form of data cleasing.
- Types of Data validation-
- Data type check= A data type check confirms that the data entered has the correct data type
- Code check=A code check ensures that a field is selected from a valid list of values or follows certain formatting rules
- Range Check=A range check will verify whether input data falls within a predefined range.
- Format Check=Many data types follow a certain predefined format. A common use case is date columns that are stored in a fixed format like “YYYY-MM-DD” or “DD-MM-YYYY.” A data validation procedure that ensures dates are in the proper format helps maintain consistency across data and through time.
- Consistency Check=A consistency check is a type of logical check that confirms the data’s been entered in a logically consistent way. An example is checking if the delivery date is after the shipping date for a parcel.
- Uniqueness Check=Some data like IDs or e-mail addresses are unique by nature. A database should likely have unique entries on these fields. A uniqueness check ensures that an item is not entered multiple times into a database.
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