SAS for Data Science

Learn SAS string functions, especially substring and trim, with examples that extract substrings from specific positions, show end points, and trim by a given length.

Explore how the SAS if then else statement segments employee salary data into high and low ranges, prints results, and exports outputs using department and salary details.

Learn to implement SAS if-then-else if statements to categorize salaries as below 600 (low), 600-700 (medium), and above 700 (high), producing a salary range in a data step.

Learn how the SAS if-then-delete statement filters data by a salary threshold, removing nonmatching records and producing an output data set of observations that meet the criteria.

Learn SAS date and time functions to calculate intervals between dates in years and months and to determine the day of the week in SAS studio.

Learn how SAS character functions manipulate string values, convert to upper or lower case, reverse letters, and extract specific words within a data step and print data.

Explore how to define and call a SAS macro program, use percent macro, and generate outputs from the cars data set by selecting make and type.

Export SAS data to your local system using proc export, demonstrated with the built-in baseball dataset from SAS help.

Learn how to sort data in SAS using PROC SORT, in ascending or descending order by salary and other variables, with by statements and output the sorted results.