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Tesco Grocery 1.0, a large-scale dataset of grocery purchases in London
We present the Tesco Grocery 1.0 dataset: a record of 420 M food items purchased by 1.6 M fidelity card owners who shopped at the 411 Tesco stores in Greater London over the course of the entire year of 2015, aggregated at the level of census areas to preserve anonymity. For each area, we report the...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7029018/ https://www.ncbi.nlm.nih.gov/pubmed/32071310 http://dx.doi.org/10.1038/s41597-020-0397-7 |
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author | Aiello, Luca Maria Quercia, Daniele Schifanella, Rossano Del Prete, Lucia |
author_facet | Aiello, Luca Maria Quercia, Daniele Schifanella, Rossano Del Prete, Lucia |
author_sort | Aiello, Luca Maria |
collection | PubMed |
description | We present the Tesco Grocery 1.0 dataset: a record of 420 M food items purchased by 1.6 M fidelity card owners who shopped at the 411 Tesco stores in Greater London over the course of the entire year of 2015, aggregated at the level of census areas to preserve anonymity. For each area, we report the number of transactions and nutritional properties of the typical food item bought including the average caloric intake and the composition of nutrients. The set of global trade international numbers (barcodes) for each food type is also included. To establish data validity we: i) compare food purchase volumes to population from census to assess representativeness, and ii) match nutrient and energy intake to official statistics of food-related illnesses to appraise the extent to which the dataset is ecologically valid. Given its unprecedented scale and geographic granularity, the data can be used to link food purchases to a number of geographically-salient indicators, which enables studies on health outcomes, cultural aspects, and economic factors. |
format | Online Article Text |
id | pubmed-7029018 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-70290182020-03-04 Tesco Grocery 1.0, a large-scale dataset of grocery purchases in London Aiello, Luca Maria Quercia, Daniele Schifanella, Rossano Del Prete, Lucia Sci Data Data Descriptor We present the Tesco Grocery 1.0 dataset: a record of 420 M food items purchased by 1.6 M fidelity card owners who shopped at the 411 Tesco stores in Greater London over the course of the entire year of 2015, aggregated at the level of census areas to preserve anonymity. For each area, we report the number of transactions and nutritional properties of the typical food item bought including the average caloric intake and the composition of nutrients. The set of global trade international numbers (barcodes) for each food type is also included. To establish data validity we: i) compare food purchase volumes to population from census to assess representativeness, and ii) match nutrient and energy intake to official statistics of food-related illnesses to appraise the extent to which the dataset is ecologically valid. Given its unprecedented scale and geographic granularity, the data can be used to link food purchases to a number of geographically-salient indicators, which enables studies on health outcomes, cultural aspects, and economic factors. Nature Publishing Group UK 2020-02-18 /pmc/articles/PMC7029018/ /pubmed/32071310 http://dx.doi.org/10.1038/s41597-020-0397-7 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Aiello, Luca Maria Quercia, Daniele Schifanella, Rossano Del Prete, Lucia Tesco Grocery 1.0, a large-scale dataset of grocery purchases in London |
title | Tesco Grocery 1.0, a large-scale dataset of grocery purchases in London |
title_full | Tesco Grocery 1.0, a large-scale dataset of grocery purchases in London |
title_fullStr | Tesco Grocery 1.0, a large-scale dataset of grocery purchases in London |
title_full_unstemmed | Tesco Grocery 1.0, a large-scale dataset of grocery purchases in London |
title_short | Tesco Grocery 1.0, a large-scale dataset of grocery purchases in London |
title_sort | tesco grocery 1.0, a large-scale dataset of grocery purchases in london |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7029018/ https://www.ncbi.nlm.nih.gov/pubmed/32071310 http://dx.doi.org/10.1038/s41597-020-0397-7 |
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