The SAS Viya Quick Start video series provides tutorials for many of the SAS Viya applications. The videos are designed to allow users to follow along in the software to enhance their learning experience. This repository provides the files referenced in the videos so that you can configure your environment to follow along.
The following videos are included in the Quick Start series:
- SAS Viya and the Analytics Life Cycle
- Discover Information Assets with SAS Information Catalog
- Explore and Visualize Data with SAS Visual Analytics
- Build Models with SAS Model Studio
- Manage Models with SAS Model Manager
- Develop SAS Code with SAS Studio
- Build Flows with SAS Studio
- Create Custom Steps with SAS Studio
- Accelerate Code in SAS Cloud Analytic Services
- Prepare Data with SAS Data Studio
- Share and Collaborate with SAS Drive
- Use Python Code with SAS Studio
- Use the Python SWAT Package on the SAS Viya Platform
- Visit https://github.com/sassoftware/sas-viya-quick-start and click Code > Download ZIP.
- Unzip the files to your local machine. By default, the files will be in a folder named sas-viya-quick-start-main.
- In SAS Viya, select the Applications menu in the upper left corner and select Develop Code and Flows. SAS Studio launches.
- In the Navigation pane on the left, select the Explorer icon.
- Expand
. Navigate to your preferred location for storing the files. You must have write access. Right-click on the desired folder and select New folder. Name the folder quick-start.
NOTE: Your environment may have a different label other than Files, but the icon will look the same. The file location demonstrated in the video is Files > data > quick-start. - Select the new quick-start folder and click the Upload button.
- Click Add, then navigate to the files you unzipped on your local machine. Press Ctrl+A to select all the files, then click Open > Upload.
- In the Explorer, expand the quick-start folder and double-click the Load_Quick_Start_Data.sas program to open it.
- Do not make any changes to the code. Click Run. Confirm the HOME_EQUITY and CUSTOMER_COMMENTS tables are listed in the Table Information report.
NOTE: As you follow along in your environment, the HOME_EQUITY and CUSTOMER_COMMENTS tables will be in the Casuser caslib.
We do not accept contributions for this project.
This project is licensed under the Apache 2.0 License.
Required. Include any additional resources that users may need or find useful when using your software. Additional resources might include the following:
- Link to videos on SAS Video Portal (once posted)
- SAS Viya Community
- SAS Viya Learning and Support