Sas update dataset example




















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. Therefore, if you want to update some but not all variables and if the variables you want to update differ from one observation to the next, set to missing those variables that are not changing. If you define one of the special missing values A through Z for the transaction data set, SAS updates numeric variables in the master data set to that value.

The resulting value in the master data set will be a period. MERGE automatically replaces existing values in the first data set with missing values in the second data set. UPDATE changes or updates the values of selected observations in a master file by applying transactions. These program statements create a new data set OHIO.

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. The master data set and the transaction data set are listed before the code that performs the update:.

Until now, all our input variables were values without whitespaces blanks. In the examples above, the employee column contains the surname of the employee. In the code below, we try to change the value of the employee column such that it contains the first name and the surname, for example John Smith or Mike Williams. As an example we use the following line of values. When SAS processes a line of values, it assumes that each blank indicates the beginning of the value of the next input variable.

So, in our example, SAS copies the value John to the column employee. Then, SAS tries to copy the value Smith to the salary column. This is a problem because SAS expects a numeric value, but Smith is a character value. Therefore, the salary column remains empty and SAS writes a note to the log.

SAS continues processing the remaining values, but similar problems occur. To avoid this problem and to be able to enter values that contain blanks, we need to change the delimiter. By default, the value that separates the value of each input variable i.

You can choose the delimiter that suits you best, but the most common delimiters are a comma, a semicolon, or a tab. In the example below, we use the comma as a delimiter.

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