
Market Date Variety Arriv Min Max Modal District YearīALLARI NH-44 COTTON 163 1770 2870 2670 Ballari 2004 Like this each crop has 65000 rows in single crop and totally I have 46 crops. Here Market names are missing, for those above market name is considered for bellow blanked rows up to next market name (above same market name continues to the next market and next market name continues to the another market name). Proc transpose data = transp out= outdata (drop=_name_) If you don't specify NOTSORTED option, you need to sort the variable that is listed in BY statement.

The NOTSORTED option tells SAS that data is not sorted and it is not required to sort it. Is SORTING required when i use BY statement?Īnswer is No. Proc transpose data = transp out= outdata ( drop=_name_) We can eliminate this variable with DROP= option. If you look at the output above, everything looks perfect except the variable '_NAME' which is not relevant. The variable Marks specified in the VAR option implies this variable is actually transposed and shape of the data format would be changed in the output data set. In this example, we are specifying variable Name in the BY option which means we do not want to transpose this variable. Proc transpose data = transp out= outdata In this case, we need to sort the data as we are going to use BY processing in PROC TRANSPOSE. heading / variable names and marks under the respective column in the output dataset. Suppose you want to change the structure of data in the manner in which the row values of the variable 'Subjects' come at top i.e. If youwant to transpose a character variable, a VAR statement is required.

If you do not include a VAR statement, the procedure will transpose all numeric variables that are not included in a BY statement or a ID statement. VAR - It lists the actual data that needs to be transposed. You can sort the variables with PROC SORT.ģ. The variables need to be sorted before running PROC TRANSPOSE. The BY variables themselves aren’t transposed. BY -It allows you to transpose data within the combination of the BY variables. Instead of a default '_', you can use PREFIX= option to give a specific prefix which can be any character value.For example, you want to add 'Height' as a prefix which would create variables like 'Height20' 'Height30'.Ģ. If the variable in the ID statement is numeric, an underscore will be put by default at the beginning of the variable name.

In other words, it tells SAS to give the variable names in the output file which were observations (rows) values in a variable in the input data set. ID - It allows you to include the values of a variable as variable names in the output data set.

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