Summarizing Data with Summary Functions

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Presentation transcript:

Summarizing Data with Summary Functions 2 Summarizing Data with Summary Functions

How a summary function works in SQL depends on the number of columns specified. If the summary function specifies only one column, the statistic is calculated for the column (using values from one or more rows). If the summary function specifies more than one column, the statistic is calculated for the row (using values from the listed columns).

The SUM Function (Review) SUM(argument1<,argument2, ...>)

Summary Functions -- include multiple columns to summarize by row. proc sql; select Employee_ID label='Employee Identifier', Qtr1,Qtr2,Qtr3,Qtr4, sum(Qtr1,Qtr2,Qtr3,Qtr4) label='Annual Donation' format=comma9.2 from orion.Employee_donations where Paid_By="Cash or Check" order by 6 desc ; quit; s103d05

Summary Functions – Include a single column to obtain the summary over all rows. proc sql; select sum(Qtr1) 'Total Quarter 1 Donations' from orion.Employee_Donations ; quit; title; s103d06

Summary Functions a comparison with proc means proc means data=orion.Employee_donations sum maxdec=0; var Qtr1; run; s103d06

The COUNT Function COUNT(*|argument) argument can be: * (asterisk) -- counts all rows a column name, counts the number of non-missing values in that column

Summary Functions – Find the number of active employees. proc sql; select count(*) as Count from orion.Employee_Payroll where Employee_Term_Date is missing ; quit; s103d07

Commonly used Summary Functions SQL SAS Description AVG MEAN returns the mean (average) value. COUNT FREQ, N returns the number of non-missing values. MAX returns the largest value. MIN returns the smallest non-missing value. SUM returns the sum of non-missing values. NMISS counts the number of missing values. STD returns the standard deviation. VAR returns the variance.

select 'The Average Salary is:', avg(Salary) proc sql; select 'The Average Salary is:', avg(Salary) from orion.Employee_Payroll where Employee_Term_Date is missing ; select 'The Mean Salary is:', mean(Salary) quit; title; Type answer here