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Sandwich analytics: A dataset comprising one year's weekly sales data correlated with crime, demographics, and weather

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 ind...

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Detalles Bibliográficos
Autores principales: Spaulding, Trent J., Hassler, Edgar E., Edwards, Charles H.L., Cazier, Joseph A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6723374/
https://www.ncbi.nlm.nih.gov/pubmed/31508460
http://dx.doi.org/10.1016/j.dib.2019.104252
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author Spaulding, Trent J.
Hassler, Edgar E.
Edwards, Charles H.L.
Cazier, Joseph A.
author_facet Spaulding, Trent J.
Hassler, Edgar E.
Edwards, Charles H.L.
Cazier, Joseph A.
author_sort Spaulding, Trent J.
collection PubMed
description 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.
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spelling pubmed-67233742019-09-10 Sandwich analytics: A dataset comprising one year's weekly sales data correlated with crime, demographics, and weather Spaulding, Trent J. Hassler, Edgar E. Edwards, Charles H.L. Cazier, Joseph A. Data Brief Business, Management and Accounting 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. Elsevier 2019-07-16 /pmc/articles/PMC6723374/ /pubmed/31508460 http://dx.doi.org/10.1016/j.dib.2019.104252 Text en © 2019 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Business, Management and Accounting
Spaulding, Trent J.
Hassler, Edgar E.
Edwards, Charles H.L.
Cazier, Joseph A.
Sandwich analytics: A dataset comprising one year's weekly sales data correlated with crime, demographics, and weather
title Sandwich analytics: A dataset comprising one year's weekly sales data correlated with crime, demographics, and weather
title_full Sandwich analytics: A dataset comprising one year's weekly sales data correlated with crime, demographics, and weather
title_fullStr Sandwich analytics: A dataset comprising one year's weekly sales data correlated with crime, demographics, and weather
title_full_unstemmed Sandwich analytics: A dataset comprising one year's weekly sales data correlated with crime, demographics, and weather
title_short Sandwich analytics: A dataset comprising one year's weekly sales data correlated with crime, demographics, and weather
title_sort sandwich analytics: a dataset comprising one year's weekly sales data correlated with crime, demographics, and weather
topic Business, Management and Accounting
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6723374/
https://www.ncbi.nlm.nih.gov/pubmed/31508460
http://dx.doi.org/10.1016/j.dib.2019.104252
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