Abstract

There is a lack of datasets in Colombia that characterize the nutritional components and other similar information about food items. This study describes a structured process to develop datasets that captures the preferences and purchases of food items by a selected group of people. The datasets would classify products according to their sodium and sugar content. The outcome of this structured process would include three datasets, each with a different focus: the first contains data on food preferences, the second contains the purchase history according to the invoices obtained, and the third contains characteristics of the food items such as its brand, category, sodium and sugar content levels, among others.

Highlights

  • In this day and age, there is an impressive amount of data traffic that is generated and shared over the internet

  • This study describes the process of creating and describing a dataset that contains information on the food preferences and purchases of a group of people living in Colombia

  • The green circle with the number 11 indicates that the sodium and sugar contents are very low, whilst the red circle with the number 44 indicates a product with very high sodium and sugar content

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Summary

Introduction

In this day and age, there is an impressive amount of data traffic that is generated and shared over the internet. Researchers can utilize thousands of photos, hours of video footage, and consumer data to create datasets[1]. Some datasets are used in research with a specific goal in mind, whereas other datasets are used to create data and store information for future investigations. Some datasets are freely published, while others are for restricted use. There are several studies that use data to analyse taste preferences around online shopping[2], music[3,4], movies[5,6] or social relations, for example 7. A study about people’s preferences for food items in supermarkets in Colombia faces challenges due to the lack of datasets freely available on this topic. Various products that are present in some public datasets[8] are not available in Colombia

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