Collecting and Analyzing Energy Data for Central America, Mexico and the World: A Data Science Project

Authors: Leonel Morales, Krista Aguilar, Juan Pociano and María Rivas

Research in Computing Science, Vol. 76, pp. 61-72, 2014.

Abstract: Data Science is a developing computational field in Central America and Mexico. The high availability of data related to energy and economy through several international agencies provides an excellent opportunity to plan and execute research projects and test tools and techniques. Also, energy is an important subject of research from different perspectives: economic, social, human development, engineering, among others. We took the challenge of locating the sources, collecting the data, cleaning it, performing initial exploratory data analysis, and applying basic modeling techniques to get familiar with the data and understand the information and knowledge it provides in regard to the possible nexus between energy and economic growth. In this paper we present a first recount of the process and some of the insights obtained during its execution.

Keywords: Data Science, Energy, Mexico, Central America

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