What is the difference between one to one merge and match merge? Give an example.
Answer / Subhas Chandra Srivastava
One-to-one merge, also known as a data merge, combines two datasets with identical variables but possibly different observations. The resulting dataset contains all unique combinations of observations from both input datasets.
Match merge uses the BY statement to specify one or more key variables in each dataset and compares them for equality. If there is a match, it merges the corresponding rows from both datasets. If not, it creates either an unmatched observation or skips the observation based on the MERGE option used (F=FILL, U=UPDATE, NEW=CREATE).
Example:
DATA merged;
MERGE dataset1 dataset2 ON key_var;
RUN;
In this example, dataset1 and dataset2 are being merged on a common key variable 'key_var'. This is an example of one-to-one merge.
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