Team member:
- XIYU HAO (xhao33@wisc.edu)
- SHUWEI LIU (sliu777@wisc.edu)
- DUOHAN ZHANG (dzhang357@wisc.edu)
- XINYAN WANG (xwang2587@wisc.edu)
The purpose of this project is to perform a modern statistical analysis from the business dataset. Our methodology includes:
- Exploratory Data Analysis: to investigate the variables' distributions along with the outliers
- Data cleansing: to clean the data by imputing some observations which areirrational and create a new cleaned dataset
- Statistical Model: to construct a model that effectively infers and describes the variables based on the existing data. We also conduct the experiment to select the best model
- Shiny App: to develop a real-time web application based on our model
- This contains both raw and cleaned data sets we used in the analysis.
- This contains R scripts for the analysis ranging from reading data, exploratory data analysis, data cleaning, data modeling as well as script for Shiny app.
- This contains images obtained from the code and analysis such as figures, tables, and plots.
- The two-page document that summarizes the analysis including the introduction, data cleaning, model selection as well as the recommendations for business.