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SAS Global Forum 2010Coders\' CornerPaper 0482010Dropping Automatically Variables with Only Missing Values Selvaratnam Sridhar, Census Bureau, Washington, D.C. ABSTRACT Sometimes all the values of
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Dropping automatically variables are removed from the dataset during preprocessing.
Data analysts and data scientists are typically responsible for dropping automatically variables during the data cleaning process.
To drop automatically variables, data analysts can use programming languages such as Python or R to write code that removes the unwanted variables from the dataset.
The purpose of dropping automatically variables is to clean up the dataset and remove any unnecessary or redundant information that might affect the analysis.
The variables that are being dropped and the reason for dropping them should be documented in the data cleaning process.
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