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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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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. |
format | Online Article Text |
id | pubmed-6723374 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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