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Data Cleaning 1) General approach to cleaning data objective is to use the available data to form an analysis data set, which has measures that correspond as closely as possible to the variables in
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Data cleaning - uncg refers to the process of identifying and correcting or removing errors, inconsistencies, and inaccuracies in datasets at the University of North Carolina at Greensboro.
All faculty, staff, and departments at the University of North Carolina at Greensboro are required to file data cleaning - uncg.
Data cleaning - uncg can be filled out by accessing the designated online platform provided by the university and following the instructions provided.
The purpose of data cleaning - uncg is to ensure the accuracy, consistency, and reliability of datasets used by the University of North Carolina at Greensboro for reporting, decision-making, and research purposes.
The information that must be reported on data cleaning - uncg includes but is not limited to: data sources, data types, data quality issues, data cleaning methods applied, and any corrective actions taken.
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