The output data set contains one observation for each observation in the master data set.If any transaction observations do not match master observations, they become new observations in the output data set.Observations that are not to be updated can be omitted from the transaction data set.
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The resulting value in the master data set will be a period (.) for missing numeric values and a blank for missing character values.
For more information about defining and using special missing value characters, see MISSING Statement. WEEK4, and its values in the master data set should be unique: This example shows renaming a variable in the FITNESS data set so that it will not overwrite the value of the same variable in the program data vector. 4 gain 1994 mark yellow 165 174 9 5 same 2304 joe red 170 170 0 options nodate pageno=1 linesize=80 pagesize=60; /* Create the Master Data Set */ data payroll; input ID SALARY; datalines; 011 245 026 269 028 374 034 333 057 582 ; /* Create the Transaction Data Set */ data increase; input ID SALARY; missing A _; datalines; 011 376 026 .
If you define one of the special missing values for the transaction data set, SAS updates numeric variables in the master data set to that value.
If you want the resulting value in the master data set to be a regular missing value, use a single underscore (_) to represent missing values in the transaction data set.
In this example, the circulation department of a magazine maintains a mailing list that contains tens of thousands of names.