A collection of recipes and other resources for building containers that include SAS Viya software.
-
Updated
Aug 30, 2022 - Shell
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 recipes and other resources for building containers that include SAS Viya software.
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.
Heart disease prediction with logistic regression using SAS Studio. The dataset is taken from UCI Machine Learning about heart disease.
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.
Data preprocessing, feature engineering, and EDA for "Big Mart Sales" data set using SAS Studio. The dataset is taken from Kaggle (https://www.kaggle.com/mrmorj/big-mart-sales).
Loan eligibility prediction in Lasiandra Finance Inc. (LFI) using SAS studio.
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.
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.
Statistical Analysis for Bank Customer Data Using SAS Studio
Upstream repository for a SAS Studio Custom Step example of how to obtain parameters and carry out Azure's Document Intelligence Cloud Service operations
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.
A report to analyse and quantify the effect of storm events in 2019 in the USA by using SAS and SQL code in combination with statistical methods.
WIP folder for SAS Studio Custom Step NLP - Extract Rule Configuration
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 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 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.
SAS and R Assignments completed at Undergraduate Applied Statistics Program
Created by Tony Barr, Jim Goodnight
Released January 1972