In this project, our project utilizes data from the Yelp that contains 76,254 reviews from 2,039 different pizza-related shops, and focuses on pizza related businesses in four state, Illinois, Ohio, Pennsylvania, and Wisconsin. Specifically, we are interested in the following questions:
--What are the distribution patterns of these restaurants? How about their feedback from customers?
--Are there any interesting information can be extracted from customers' reviews and businesses’ attributes?
--Are there any specific variables that make a great difference based on statistical model results?
Friendly service attitude, fast delivery and fresh ingredients are the most essential factors in increasing overall store score on the Yelp.
This folder contains the raw and (if relevant) cleaned data.
This folder contains all the code for our analysis (e.g. cleaning the data, data visualization, running the analysis, etc.)
This folder contains any figures/images/tables produced in our analysis.
The four-page summary file contains the summary of this project.
This folder contains the shiny app and if you want to run it, open main.R and run in R or browser.
Also you can visit https://yukun.shinyapps.io/stat628hw3/ to use it.