SAS Tutorial | Creating a Custom Step, Part 3: Coding Your Step Join Senior Analytic Training Consultant Danny Modlin in part three of this four-part SAS Studio tutorial, where he shows you how to modify code for use in a custom step and how to connect it to the step’s GUI.
SAS Notebooks in VS Code: A developer’s guide David Weik explains how SAS Notebooks in SAS Viya Workbench seamlessly integrate with VS Code, making it easy for developers to combine SAS code, SQL, and Markdown for more efficient, well-documented workflows.
Getting Started with R in SAS Viya Workbench Shelby Taylor introduces users to the integration of R within the SAS Viya Workbench environment, providing a flexible, cloud-based platform for developing, visualizing, and sharing R code, thereby enhancing the analytical capabilities of data scientists and statisticians.
Boost ML accuracy with hyperparameter tuning (with a fun twist) Stu Sztukowski shows how hyperparameter autotuning in SAS Viya helps boost machine learning model accuracy without the hassle of manual tuning.
Generate a check digit and validate a Universal Loan Identifier in SAS In finance and other fields, accounts are represented by a long string of digits. To guard against mistyping, some digits are “check digits,” which are obtained by using a mathematical computation. Rick Wicklin cautions against trying to convert these account numbers to numeric values. Instead, he shows that you can compute the check digits directly from the character string.
SAS Enhanced Support: More than support — a true technological partnership Margherita Albrizio explains how SAS Enhanced Support offers proactive, personalized help through dedicated account managers, custom dashboards, and strategic planning to keep systems running smoothly.
Automatic Linting of SAS Code with SASjs McGwire Jones shows how using SASjs linting with GitHub Actions helps enforce consistent SAS code standards like styling, security, and file naming across your project automatically.
Optimize spare parts inventory under uncertainty with SAS: A simulation-based approach Bahar Biller, Jagdishwar Mankala, and Jinxin Yi demonstrate how a simulation-based approach in SAS enables optimization of spare parts inventory under uncertainty to balance cost and service levels based on real-world asset failure modeling.
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