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http://dx.doi.org/10.6109/jkiice.2020.24.8.978

The Effect of Discomfort Index on Outfielder's Game Record Data  

Kim, Semin (Department of Computer Education, Jeonju National University of Education)
Shin, Chwa-Cheol (Department of Innovation and Convergence, Hoseo University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.24, no.8, 2020 , pp. 978-984 More about this Journal
Abstract
In this study, the correlation between sports records and weather data was analyzed using the big data analysis method. To this end, data was collected by API and crawling, data was processed, statistics were performed, and data visualization was performed. The subject of this study was a player who entered the regular at-bat among outfielders in the 2019 KBO League. In addition, meteorological data were analyzed by using the unpleasant index and above 70 and below 70. As a result of the study, in the various hitting indicators, which are the records that pitchers intervene, the higher the unpleasant index, the better the outfielder's record, but pitchers, walks, pitches, pitching success rates, pitches per turn, pitches per game From the records of the back, it was found that the outfielder made the pitcher difficult. It is expected that this study will help the development of the sports data industry and the performance of baseball players, baseball teams, and coaching staff.
Keywords
Big Data Analysis; Sports Data; Baseball Records; Discomfort Index;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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