Click on a button corresponding to a SAS data set column utility. Refer to the table below for guidance.
Changing the lengths of variables in a SAS data setTip: Reduce disk space and computational time by shortening long character variables. Renaming one or more primary data variables in a tall data set, and creating a new Experimental Design Data Set (EDDS) to accompany it Rearranging the column order in a data setTip: This is especially useful for reorganizing a data set formed by merging two or more disparate data sets. Removing columns from a wide data set based on a filter specified using variables from the corresponding tall data set to filter its rows Combining columns of a tall data set together, computing a summary statistic, and creating an accompanying reduced EDDSExample: This process can be used to average and combine replicate runs of data from an experiment into one column. Computing a variety of summary statistics for variables in a SAS data set Modifying a SAS data set by performing a mathematical transformation on all specified variablesSee SAS Data Set Utilities for other subcategories.