To Run the PROC data contents from the dataset, which helps to see the labels and execute the statements if only the specified condition is true or else it will come out of the loop or terminate the loop. Using the names and Rename statement for calling the labels and looking at the VIEWTABLE window on the SAS can be parsed out of the command line representing variable names. Respondent and correct sequence numbers to the ID with SAS having issues on the spaces from the original name to the duplicate name with exact sequence steps. The specified column names are so long, and it’s nearly impossible to recode the data from one format to another more straightforward format. We can use the rename function with the SAS dataset for the column variables from the NHANES data, but the data code is registered incorrectly. We can enclose the text from the data label using the single and double quotation Rename option, which tells SAS to change the name of the two variables from within the parentheses as long as the space separates each pair of the old and new variables. It decodes the datas by using the more straightforward format that assists and is associated with the sequence number of the SAS issues and the spaces between the original data content and duplicate contents. This is nearly impossible for the recoding data columns. Renaming column variables will use the datas like NHANES, but the code of the data registration is not correctly called for the column names. The rename is a type of function that can be used for more than one variable in a SAS dataset, and SAS users will refer to it as such. It allows you to replace old variable names in programming statements by changing one or more variables written into the output directory. The SAS rename is the feature for changing the variable’s name or the variable list already declared in the SAS input data set or in the data step created by the new set of variables.
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