Category: SAS

Unexpected results from missing values with PROC SQL

SAS SQL handles missing values differently than the ANSI standard for SQL. PROC SQL follows the SAS convention for handling missing values: numerical missing values are always interpreted as less or smaller than all nonmissing values. My first blog showed that missing values can be troublemakers in non-grouped descriptive statistics. […]

Unexpected results from missing values with PROC SQL was published on SAS Users.

Machine learning models for payment fraud

Fraud detection is becoming increasingly more complex. Customers are demanding a frictionless consumer experience. Luckily, SAS’ advanced machine learning models can better prevent fraud and protect customers by analyzing behaviors and detecting suspicious patterns in real-time.

Machine learning models for payment fraud was published on SAS Users.

Export a Visual Analytics report using REST APIs

In my previous blog Programmatically export a Visual Analytics report to PDF – SAS Users, I use the SAS Visual Analytics SDK to export a report to PDF, which is quite simple if we have basic knowledge with JavaScript programming. It works for both the latest version of SAS Viya […]

Export a Visual Analytics report using REST APIs was published on SAS Users.

Getting Started with Python Integration to SAS® Viya® – Part 11 – Rename Columns

Welcome to the continuation of my series Getting Started with Python Integration to SAS Viya. In previous posts, I discussed how to connect to the CAS server, how to execute CAS actions, and how to summarize columns. Now it’s time to focus on how to rename columns in CAS tables. Load and explore data […]

Getting Started with Python Integration to SAS® Viya® – Part 11 – Rename Columns was published on SAS Users.