The rhythm of Mexico: an exploratory data analysis of Spotify’s top 50

J. Manuel Pérez-Verdejo (), C. A. Piña-García, Mario Miguel Ojeda, A. Rivera-Lara and L. Méndez-Morales
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J. Manuel Pérez-Verdejo: Universidad Veracruzana
C. A. Piña-García: Universidad Veracruzana
Mario Miguel Ojeda: Universidad Veracruzana
A. Rivera-Lara: Universidad Veracruzana
L. Méndez-Morales: Universidad Veracruzana

Journal of Computational Social Science, 2021, vol. 4, issue 1, No 7, 147-161

Abstract: Abstract Spotify has emerged as an important online platform for streaming digital music. A key aspect of Spotify is that it provides access to music on-demand to a worldwide level. In this regard, Spotify via its API permits to gain access to music-related data with the aim to know information about different parameters such as: artist, album, and genre. This paper aims to: (1) give an overview of the shared features of the songs that appeared at Mexico’s top 50 during 2019, (2) analyze how these features are related to a track permanence on the top 50; and (3) compare those results with the global top 50 chart.

Keywords: Computational social science; Music; Spotify; Data science; Big data; Mexico (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s42001-020-00070-z

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