September 2019
Beginner to intermediate
346 pages
7h 35m
English
The following table shows the credit transactions of a few customers. We will produce an output with basic measures and identify extreme observations:
Data Transactions; Input CustId $ Credit;Datalines;A2112 234A2342 532A2345 345A6345 234B3234 234B6345 456C465A 675D4436 790E4603 645F0945 709F435F 999H0032 009;
Once again, we have restricted the output using the ODS facility to ensure only part of the output is written out:
ODS Select BasicMeasures Extremeobs;Proc Univariate Data = Transactions;Var Credit;Run;
If we have multiple variables, we can request basic statistics by adding them in the Var statement:
The extreme observations are segregated into the lowest and highest in terms of value and ...
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