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

Luca Maria Aiello; Daniele Quercia; Rossano Schifanella; Lucia Del Prete

doi:10.1038/s41597-020-0397-7

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

Luca Maria Aiello^*, Daniele Quercia, Rossano Schifanella, Lucia Del Prete

^*Corresponding author for this work

Informatics

Research output: Contribution to journal › Article › peer-review

15 Citations (Scopus)

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.

Original language	English
Article number	57
Journal	Scientific Data
Volume	7
Issue number	1
DOIs	https://doi.org/10.1038/s41597-020-0397-7
Publication status	Published - 1 Dec 2020

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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.",

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

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