Análisis de la alimentación en regiones del Ecuador mediante Big Data

Abstract

Healthy eating is a relevant element for people's well-being; helps to avoid malnutrition, as well as non-communicable diseases, therefore, it is important to know those are the foods most consumed by Ecuadorians according to the region in which they reside, in order to determine how the diet is present in these regions influences the health of its inhabitants. In this research, an analysis of the types of diet in the Costa and Sierra regions of Ecuador is carried out. For this, social networks were used as data sources, since they are increasingly used to share information or opinions about situations or elements of various kinds, Twitter being the one used, as it is one of the most important social networks for this. . The data collection of the social network Twitter was carried out through the use of the Python programming language and was focused on Tweets that allude to food, comparing data from the cities of the Sierra and the Coast, classifying healthy and unhealthy foods and types of foods, which makes it possible to identify the most relevant foods in each region. The evaluation of the Tweets is also analyzed, in terms of number of interactions thereof. Obtaining that healthier foods are consumed in the Sierra; the results are displayed in different reports in Power BI.