These are my SAS codes for advanced SAS projects, mainly on SQL and Macro programming.

My introduction to the programming world

Notes and labs from SAS Programming for R Users

automate email via outlook

A macro which creates a comma-separated variable list based on file name and regular expressions for use with the proc sql procedure in SAS

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

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

AmerisourceBergen, the largest wholesaler of medical and surgical materials in the United States, set a goal to improve the efficiency of products distribution. To realize this target, it is essential to explore into its customer needs by doing customer segmentation. The company distributes a wide variety of products to all kinds of pharmacies, …

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.

Analyzing Electric Circuit Board Defect Dataset for Statistical Process Control using various Quality Tools & Techniques for the enhancement of Quality Control in a Manufacturing Setting.

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

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.

Various reports and assignments made during my Business Analytics program at Seneca College.

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.