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SAS is a statistical software suite developed by SAS Institute for data management, advanced analytics, multivariate analysis, business intelligence, enterprise app development, criminal investigation, and predictive analytics.
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🐟 A Swiss-Army Knife for Data I/O
Read SPSS, Stata and SAS files from R
A Python interface module to the SAS System. It works with Linux, Windows, and Mainframe SAS as well as with SAS in Viya.
Database schema for e-commerce (webstores) sites.
This is the collection of my own SAS utility macros/ sample code over my past 10 years of SAS programming and analysis experience from 2004 to 2014.
👁 ReadStat
Command-line tool (+ C library) for converting SAS, Stata, and SPSS files 💾
Materials for GWU DNSC 6279 and DNSC 6290.
This repository provides example code for loading and analyzing data from AHRQ's Medical Expenditure Panel Survey (MEPS). More information about the survey and access to public use data files is available on our website
The SAS Scripting Wrapper for Analytics Transfer (SWAT) package is the Python client to SAS Cloud Analytic Services (CAS). It allows users to execute CAS actions and process the results all from Python.
👁 SAS_PACKAGES
[PRODUCTION READY] - SAS Packages Framework and Repository
👁 core
Macros for SAS® App Developers
Manipulating labelled vectors in R
R package that allows to convert databases of different formats to parquet format
Monitoring Plugin to check hard drives, solid state drives and NVMe drives using SMART
Serial Attached SCSI (SAS) Linux utilities and Python library
👁 sas-studio-custom-steps
Repository to share SAS Studio Custom Steps. A custom step enables you to create a user interface for SAS Studio users at your site to complete a specific task.
An implementation of the HCC Risk Adjustment Algorithm in Python
SAS Viya Administration Resource Kit (SAS Viya ARK). Tools and utilities to help SAS customers with SAS Viya readiness.
Production Ready Macros for SAS Application Developers
Python package and CLI for user-friendly integration with SAS Viya
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