My introduction to the programming world

Notes and labs from SAS Programming for R Users

kdb+/q interacts with SAS

Code to examine regression to the mean in SAS, Stata and R

Applied Statistics Class (2018 Spring)

Using data from the Professional Bowlers Association we analyze a dataset that includes the following bowlers from their list of 15 women bowlers: Stephanie Nation, Amanda Fagan, and Shannon O’Keefe. The dataset consist of 3 columns, Bowler, GameNum, Score.

[INE2018] 2019-2 'Computer Statistics' Course at Hanyang University, ERICA

Data analysis with R and SAS. Basic R, Basic SAS, Basic Data analysis. Analysis of Texas Covid-19 data. STAT_604, Statistical Computations, Texas A&M University.

A project that is used to predict median value of houses from California in SAS programming. A glmselect and reg procedure was used to analyze the prices.

This project is about using SAS to build a predictive modeling for fundraising.

Replication of a RCT (A/B Test) originally done by Dr. Andrew Friedson.

A collection of SAS programming snippets and resources that I've learned and use.

Using SAS 9.4, analyzed the Telco company by studying and producing suggestions and insights as to the customers which are leaving the company (churn variable). Major topics in the project include SAS visualization, SAS SQL, SAS macros, statistics procedures and popular SAS programming tasks.

Explore property data (including crime, sales, blight rating, property tax, etc.) with SAS and Tableau. Characterize the relationships among different factors, and identify some factors that significantly associated with blight properties.

Oracle database monitoring, alerting, conversion to SAS datasets.

Projet de data mining en SAS portant sur les données commsdata. L’objectif de ce projet est d’offrir aux clients une analyse du taux d’attrition (Churn) et donner des éventuelles solutions pour garantir la fidélité des consommateurs afin d’améliorer le rendement général et les intérêts de l’entreprise.

This repository demos the different plots with SAS.

Documentation, Schemas, Data Wrangling, and Estimation/Implementation Utilities for the ModelSpec of WDataSci

Project Data Science Salary Prediction using SAS.