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Tesco Grocery 1.0, a large-scale dataset of grocery purchases in London

Research output: Contribution to journalArticle

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Tesco Grocery 1.0, a large-scale dataset of grocery purchases in London. / Aiello, Luca Maria; Quercia, Daniele; Schifanella, Rossano; Del Prete, Lucia.

In: Scientific Data, Vol. 7, No. 1, 57, 01.12.2020.

Research output: Contribution to journalArticle

Harvard

Aiello, LM, Quercia, D, Schifanella, R & Del Prete, L 2020, 'Tesco Grocery 1.0, a large-scale dataset of grocery purchases in London', Scientific Data, vol. 7, no. 1, 57. https://doi.org/10.1038/s41597-020-0397-7

APA

Aiello, L. M., Quercia, D., Schifanella, R., & Del Prete, L. (2020). Tesco Grocery 1.0, a large-scale dataset of grocery purchases in London. Scientific Data, 7(1), [57]. https://doi.org/10.1038/s41597-020-0397-7

Vancouver

Aiello LM, Quercia D, Schifanella R, Del Prete L. Tesco Grocery 1.0, a large-scale dataset of grocery purchases in London. Scientific Data. 2020 Dec 1;7(1). 57. https://doi.org/10.1038/s41597-020-0397-7

Author

Aiello, Luca Maria ; Quercia, Daniele ; Schifanella, Rossano ; Del Prete, Lucia. / Tesco Grocery 1.0, a large-scale dataset of grocery purchases in London. In: Scientific Data. 2020 ; Vol. 7, No. 1.

Bibtex Download

@article{e483c4fe832440ee8e0268b4ca36fa29,
title = "Tesco Grocery 1.0, a large-scale dataset of grocery purchases in London",
abstract = "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.",
author = "Aiello, {Luca Maria} and Daniele Quercia and Rossano Schifanella and {Del Prete}, Lucia",
year = "2020",
month = "12",
day = "1",
doi = "10.1038/s41597-020-0397-7",
language = "English",
volume = "7",
journal = "Scientific Data",
issn = "2052-4463",
publisher = "Nature Publishing Group",
number = "1",

}

RIS (suitable for import to EndNote) Download

TY - JOUR

T1 - Tesco Grocery 1.0, a large-scale dataset of grocery purchases in London

AU - Aiello, Luca Maria

AU - Quercia, Daniele

AU - Schifanella, Rossano

AU - Del Prete, Lucia

PY - 2020/12/1

Y1 - 2020/12/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85079684110&partnerID=8YFLogxK

U2 - 10.1038/s41597-020-0397-7

DO - 10.1038/s41597-020-0397-7

M3 - Article

C2 - 32071310

AN - SCOPUS:85079684110

VL - 7

JO - Scientific Data

JF - Scientific Data

SN - 2052-4463

IS - 1

M1 - 57

ER -

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