SAS Users
Providing technical tips and support information, written for and by SAS users.![How to prompt for a date range in a SAS Visual Analytics Report - Four Part Series](https://blogs.sas.com/content/sgf/files/2020/07/K18352_19377_1994176_HowToPromptForADateRangeInASASVisualAna-702x336.jpg)
Let's learn how to prompt for a date range in a SAS Visual Analytics report using control objects such as sliders, drop-down lists, and text input.
![How to translate your cURL command into SAS code](https://blogs.sas.com/content/sgf/files/2020/02/ProblemSolvers-400x336.jpg)
You want to use an API to retrieve data and process it with SAS. How do you do it? PROC HTTP offers the features of the cURL command within your SAS code.
![Report Center: SAS SysAdmin's secret weapon](https://blogs.sas.com/content/sgf/files/2020/07/questions-4027963_1920-702x336.jpg)
SAS instructor Raymond Thomas touts the benefits of Report Center, part of SAS Environment Manager Extended Monitoring.
![A day in the life of the SAS Platform Administrator](https://blogs.sas.com/content/sgf/files/2020/07/nesa-by-makers-IgUR1iX0mqM-unsplash-702x336.jpg)
SAS instructor Raymond Thomas describes a typical day in the life of a SAS Administrator.
![SAS and Open-Source Model Management (free eBook)](https://blogs.sas.com/content/sgf/files/2020/07/bookcover-268x336.png)
Turn analytical models into business value and smarter decisions with this special collection of papers about SAS Model Management. Without a structured and standardized process to integrate and coordinate all the different pieces of the model life cycle, a business can experience increased costs and missed opportunities. SAS Model Management solutions enable organizations to register, test, deploy, monitor, and retrain analytical models, leveraging any available technology – including open-source models in Python, R, and TensorFlow –into a competitive advantage.
![Splitting a data set into smaller data sets](https://blogs.sas.com/content/sgf/files/2020/07/slicing-into-smaller-pieces-702x336.jpg)
SAS' Leonid Batkhan shows you how to split a large data set into many by a subsetting by a number of observations to produce smaller, better manageable data sets.