The data comes in the shape of 8 relational files which are derived from two separate Japanese websites that collect user information: “Hot Pepper Gourmet (hpg): similar to Yelp” (search and reserve) and “AirREGI / Restaurant Board (air): similar to Square” (reservation control and cash register). The training data is based on the time range of Jan 2016 - most of Apr 2017, while the test set includes the last week of Apr plus May 2017.

The data is about academic background of students who applied statistical graduate school in the U.S. and the rank of graduate school. I collected data about the students who have received an offer from graduate school on the website, which is the most popular website for the Chinese student aimed to apply graduate school in the US to share their offer. For UNIVERSITY variable in data. - USA: Student got Bachelor degree in US. - 211: Project 211 University, A type of university in China. - 985: Project 985 University, A type of university in China. 985 Project is better than 211 project. - C9: Project C9 University, A type of university in China. C9 Project is better than 985 project. - OTHER: Any universities except for above.

This page is a demo for a capstone course's project . The analysis result were created by SAS and R. ALL plots were created by Tableau and SAS.