Run the program, then use additional SAS procedures to answer the following questions:. Solution: This project will work with the following program: data work. This program is intended to:. Fix the errors in the above program. There may be multiple errors in the program.
Errors may be syntax errors, program structure errors, or logic errors. In the case of logic errors, the program may not produce an error in the log. After fixing all of the errors in the program, answer the following questions:. How many observations are in the work.
This project will work with the following program:. What is the value of Char2? Q7: The following SAS program is submitted:. Round your answer to the nearest whole number. This project will use data set sashelp.
Create the SAS data set work. Sort the sashelp. First by variable product in descending order. Second by variable sales in ascending order. In the Name box, type a folder name. In our examples, we use the name certprep. Click Save. If you use another file name, substitute the name that you created for certprep. If you are using SAS Studio, do the following: 1. Depending on your network configuration, you might not have Write access to the Sasuser directory where the sample data is stored.
From your server area, open the Files folder, right-click on a drive or folder, and select New Folder. Enter the new folder name. Therefore, you can skip this step and the next one. Submit the following code in a Code window. If you use another filename, substitute the folder name that you created for certprep. Copy the sample data program into the Program window and then run the program. You can access the sample data at sample data.
Because you will not need to use these shortcuts, you can delete the Program item and all the shortcuts from the project. This action will not delete the data that you created. To delete the item from the project, right-click Program and select Delete. In the Confirmation window, click Yes. Elliott, Wayne A. A step-by-step introduction to using SAS statistical software as a foundational approach to data analysis and ….
To really learn data science, you should not only master the tools—data science libraries, frameworks, modules, …. Ottesen, Lora D. Delwiche, Susan J.
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