An exploratory analysis of quick service restaurants using tidyverse tools in R

• Main Author: Khalid M. Dubas
• Format: Article
• Language: English
• Published: LLC "CPC "Business Perspectives" 2017-09-01
• Series: Innovative Marketing
• Subjects: data science; model building; quick service restaurants; R language and enviornment; reproducible research; tidyverse
• Online Access: https://businessperspectives.org/images/pdf/applications/publishing/templates/article/assets/9094/IM_2017_02_Dubas.pdf

This study presents an exploratory analysis of Quick Service Restaurants (QSR) industry in the US during 2015 by using publicly available data and open-source R software. The data analysis framework and tools utilized here were developed primarily by Hadley Wickham and are included in his tidyverse package in R. This data analysis framework consists of data import, data wrangeling, data exploration (tranformation, visualization, and modeling), and communication of results (Wickham & Grolemund, 2016). These steps are illustrated by exploring the relationship between sales, customer satisfaction, and other characteristics of 65 QSR restaurants in the US. In order to facilitate reproduction and replication of this study, the dataset as well as the R code are included in this study.