Answer:
Data segregation or Data separation.
Step-by-step explanation:
The approach taken by the user to remove the quiz score averages, exam averages including adjustment points, project scores, and participation scores from the main spreadsheet and place them in a new sheet is a form of data segregation or data separation.
Data segregation involves organizing and separating different types of data into separate sections or sheets to reduce visual clutter and improve data organization. By moving the specific scores and averages to a new sheet, the user is creating a more focused and streamlined view in the main spreadsheet, likely to make it easier to analyze or work with the remaining data.
This approach can have benefits such as:
Visual Clarity: By separating out specific data elements into their own sheet, the main spreadsheet becomes less cluttered, making it easier to read and interpret the remaining information.
Data Organization: Placing related data together in a separate sheet can enhance data organization, enabling users to locate and reference specific information more efficiently.
Simplified Analysis: With the scores and averages in a separate sheet, users can focus solely on those data points when performing calculations or analysis, without distractions from other data.
Ultimately, the appropriateness of this approach depends on the specific requirements and preferences of the user and the overall purpose of the spreadsheet. It can be an effective way to reduce visual clutter and improve data organization.