Sas Programming 2 Data Manipulation Techniques Pdf 17 -

data financial_summary; set enterprise.sales; retain YearToDatePeak; /* Value preserved across rows */ AccumulatedRevenue + QuarterlyRevenue; /* Implicitly retained sum statement */ if QuarterlyRevenue > YearToDatePeak then YearToDatePeak = QuarterlyRevenue; run; Use code with caution. Advanced Data Transformation Techniques

This mirrors the "iterative do-loop over array dimension" that advanced SAS certifications require. If you master this, you have conquered the essence of .

Standard merging uses MERGE and BY . But the advanced techniques (found on page 17 of many SAS study guides) involve match-merging with multiple data sets and handling many-to-many relationships . Sas Programming 2 Data Manipulation Techniques Pdf 17

PROC UPDATE DATA=dataset1; UPDATE dataset2; BY variable; RUN;

DATA transactions; IF _N_ = 1 THEN DO; DECLARE HASH h (dataset:'lookup'); h.defineKey('emp_id'); h.defineData('dept'); h.defineDone(); END; SET transactions_raw; rc = h.find(); IF rc NE 0 THEN dept = 'Unknown'; RUN; data financial_summary; set enterprise

DATA sales_merged; MERGE sales customer; BY customer_id; RUN;

Extracts substrings or replaces variable segments based on explicit byte positions. Standard merging uses MERGE and BY

SAS stores dates as integers representing the number of days elapsed since January 1, 1960.