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Hi, Data Independence refers to the immunity of user application to make changes in the definition and organization of Data. There are three types of Data Independence - 1. Logical Data Independence - The ability to change the logical (conceptual) schema without changing the External schema (User View) is called logical data independence. 2. Physical Data Independence - The ability to change the physical schema without changing the logical schema is called physical data independence. 3. View Data Independence - always independent,no effect.
The initial data that you collect is raw data.
i think it is data that does not change!
its called data redundancy.
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FIELD
The placeholder in the main document to be replaced with data in a data source is typically referred to as a "mail merge field." This field acts as a marker for where the specific data from the data source will be inserted during the merging process.
A variable is a placeholder for data whose contents can change. In database programming, there is also an SQL results area usually called a cursor. This will hold the results of a particular query when it is executed. How these are implemented change based on the programming language and database being accessed.B. 4/2009 - In MS Word (Office 2007), the answer is a field. (source: this was on a test I just took and I guessed on it, but the answer was right)
A variable is a placeholder for data whose contents can change. In database programming, there is also an SQL results area usually called a cursor. This will hold the results of a particular query when it is executed. How these are implemented change based on the programming language and database being accessed.B. 4/2009 - In MS Word (Office 2007), the answer is a field. (source: this was on a test I just took and I guessed on it, but the answer was right)
placeholder
Merge Field.
Yes, a variable is a placeholder in programming or mathematics that can represent different values. It allows for flexibility and enables the use of different data in calculations or operations.
Formatting data.
A placeholder in the main document that marks where a value is inserted from a source.
Data inconsistency
RIMM
When you change the experiment in the middle of data collection or analysis, it is called "data dredging" or "p-hacking." This practice can lead to false positive results and undermines the integrity of the scientific process.