A collection of tests for a recent macro (authored by Chris Hemedinger) which allows a SAS code to include SAS content from SAS notebooks
-
Updated
Sep 11, 2024 - SAS
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.
A collection of tests for a recent macro (authored by Chris Hemedinger) which allows a SAS code to include SAS content from SAS notebooks
A repository containing some accessible SAS programs (maybe Python in future), macros and SAS Studio Custom Steps to carry out common tasks and operations. Also serves as a test bed for some future contribution to SAS Studio Custom Steps: https://www.github.com/sassoftware/sas-studio-custom-steps.
Repositório de Arquivos destinado a uso do SAS para criação de Mapa Coroplético
Repositório de Arquivos destinado a uso do SAS para criação de Mapa Coroplético
All module assignments of SAS-Programming internshala course iwth code and output.
Upstream repository for the Redirect Log SAS Studio Custom Step. A low-code component meant for use in SAS Viya to help redirect log and output of downstream programs to specified external files.
Applied SAS techniques for data analysis and machine learning in a milestone project. Base SAS Programming and SAS Viya tools were utilized for preprocessing, customer profiling, sales analysis, promotions, supplier evaluation, and customer segmentation. Results were visualized comprehensively.
Upstream Repository for the NLP - Categories Testing Framework SAS Studio Custom Step. Automated enhancement to SAS Viya Natural Language Processing model development process. To be submitted to /sassoftware/sas-studio-custom-steps as well. Refer README for more details.
Upstream repository for a SAS Studio Custom Step to copy files between filesystem and the SAS Infrastructure Data Server (SAS Content)
Upstream repository for the Find Nearest Neighbors Custom Step, which searches a base table to identify nearest neighbors to observations in an input query table, based on a distance formula. Note downstream contribution is part of https://github.com/sassoftware/sas-studio-custom-steps
Telecom Company Customer Distribution and Deactivation Analyzes
This repository contains a SAS program that analyses claims data obtained from the Transportation Security Administration (TSA). The program addresses data and report requirements for the case study, providing insights into injuries, property loss, and damage during the airport screening process.
This SAS case study aims to prepare the inbound and outbound tourism data for countries and continents in 2014. The program effectively addresses the data requirements, enabling analyst team to to perform analyses aimed at growing company's market share.
This SAS case study aims to generate simple cross-tab in Proc Freq to exam possible trend of weight loss (in lb) in response to daily walking steps. The program effectively addresses the data requirements, enabling quick analysis on the relationship between weight loss and daily walking steps.
Heart disease prediction with logistic regression using SAS Studio. The dataset is taken from UCI Machine Learning about heart disease.
Materials from a paper/talk for Southeast SAS User Group Conference
Created by Tony Barr, Jim Goodnight
Released January 1972