1. What is/are found when data is collected and analyzed?
2.What loopholes can be discovered when data validation is done?
3. Aside from empty or unfilled fields in the sheets, what other errors can be possible seen in collecting large data sets?
4. What is the impact on the research process if data coding is applied?
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1.For the purposes of compliance with ethics and data storage policies, 'data' means 'original information which is collected, stored, accessed, used or disposed of during the course of the research, and the final report of the research findings'.
2.Data validation is a feature in Excel used to control what a user can enter into a cell. For example, you could use data validation to make sure a value is a number
between 1 and 6, make sure a date occurs in the next 30 days, or make sure a text entry is less than 25 characters.
3.Spreadsheets are widely used software tools for data entry, storage, analysis, and visualization. Focusing on the data entry and storage aspects, this article offers practical recommendations for organizing spreadsheet data to reduce errors and ease later analyses.
4.Coding or categorizing the data has an important role in analysis. ... This scheme helps the researcher to ask questions, to compare across data, to change or drop categories and to make a hierarchical order of them.
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