Sandwich analytics: A dataset comprising one year's weekly sales data correlated with crime, demographics, and weather
Trent J. Spaulding,
Edgar E. Hassler,
Charles H.L. Edwards,
Joseph A. Cazier
Affiliations
Trent J. Spaulding
Center for Analytics Research and Education, Appalachian State University, USA; Department of Nutrition and Healthcare Management, Appalachian State University, USA; Corresponding author. Center for Analytics Research and Education, Appalachian State University, ASU Box 32168, 1179 State Farm Road, Suite 548, Boone, NC 28608, USA.
Edgar E. Hassler
Center for Analytics Research and Education, Appalachian State University, USA; Department of Computer Information Systems, Appalachian State University, USA
Charles H.L. Edwards
Center for Analytics Research and Education, Appalachian State University, USA
Joseph A. Cazier
Center for Analytics Research and Education, Appalachian State University, USA; Department of Computer Information Systems, Appalachian State University, USA
Data collected from a quick-serve sandwich chain over one year provide an opportunity to study market, sociographic, meteorologic, and other factors impacting sales and sales forecasting. The weekly sales table contains over 79,000 rows which each represent summary statistics for the sales of an individual menu item in one store during one week of the year. The data were collected from the point-of-sale system of 10 stores. Secondary data regarding weather patterns, population, location, competition, and crime statistics were gathered and integrated with the original data set. Keywords: Analytics, Marketing, Sales, Food, Forecasting, Sociographic research
