SAS for Data Analysis and Visualization

Learn how to create and manipulate string values in SAS, including measuring string lengths, joining strings with the join_strings function, and printing results in SAS studio.

Create and manipulate SAS arrays by defining a series of values, assigning data, and performing element-wise operations like mixing A1 and A2, then view the resulting output.

Learn to merge two SAS datasets from local files by defining paths and data names, then use merge by employee id to produce and print combined salary and department data.

Learn to subset variables in SAS using drop and keep to select or drop fields. See an example with employee id, name, salary, and department.

Learn how to use the SAS proc sort procedure to sort data in ascending or descending order, by salary and other variables, and generate a sorted output.

Learn how SAS Studio uses sql to create tables, read, update, and delete data from databases, and manage data with proc sql and temporary data sets.

Learn to create a temporary data set, define an employee table with name, salary, department, and commission, and update salaries by 1.25 with preserved commissions.

Explore standard deviation in SAS studio with proc means on the cars1 data set, focusing on numerical variables like invoice, horsepower, length, and weight.

Learn to build histograms with proc univariate in SAS Studio, visualize horsepower data, customize axis labels, and interpret the distribution and normality statistics.

Explore creating SAS pie charts with proc template using the cars data from SAS help. Visualize make-by-make groupings (Audi, BMW) and customize category, labeling, and legends.