Abstract
Sports data are usually stored in databases and made available as plain tables that, in the best of the cases, allow the users to sort them by a given column. Although this technique is the most used to show the present state of a competition or its final outcome, it does not provide all of the information an analyst may require. Hence, this work aims to provide a new method of visualizing full seasons of baseball by means of a heatmap that holds every game of the season in it. Taking advantage of filtering and interaction, we explore the possibility of overlapping seasons to provide a deeper analysis of teams’ results over selected time spans.
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Losada, A.G., Theron, R., Vaquero, M. (2014). A Deep Dive into Decades of Baseball’s Recorded Statistics. In: Christie, M., Li, TY. (eds) Smart Graphics. SG 2014. Lecture Notes in Computer Science, vol 8698. Springer, Cham. https://doi.org/10.1007/978-3-319-11650-1_2
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DOI: https://doi.org/10.1007/978-3-319-11650-1_2
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