Visual Analysis of NBA Player Data

Jiazhi Di, Ben Wang, Hua Hu, Qihang Zhao, Yinggui Wang

2022

Abstract

Competitive sports data visualization and analysis is an important technology in sports science research. Taking the players of the National Basketball Association (NBA) as the research object, this paper focuses on how to visually design the comprehensive ability of a single player and multiple players. This article uses the efficiency criterion to analyze whether a player is efficient in a period of time, so as to judge whether the player is the best. This paper figures out the comprehensive ability of NBA players by data table, line chart, bar chart, and radar chart, and finds out the weakness of players from the visualization chart. Furthermore, different aspects of James and Durant are visually analyzed in detail, such as rebounds, assists, shooting rate and distribution.

Paper Citation

in Harvard Style

Di J., Wang B., Hu H., Zhao Q. and Wang Y. (2022). Visual Analysis of NBA Player Data. In Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - Volume 1: ICPDI; ISBN 978-989-758-620-0, SciTePress, pages 835-840. DOI: 10.5220/0011768800003607

in Bibtex Style

@conference{icpdi22,
author={Jiazhi Di and Ben Wang and Hua Hu and Qihang Zhao and Yinggui Wang},
title={Visual Analysis of NBA Player Data},
booktitle={Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - Volume 1: ICPDI},
year={2022},
pages={835-840},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011768800003607},
isbn={978-989-758-620-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - Volume 1: ICPDI
TI - Visual Analysis of NBA Player Data
SN - 978-989-758-620-0
AU - Di J.
AU - Wang B.
AU - Hu H.
AU - Zhao Q.
AU - Wang Y.
PY - 2022
SP - 835
EP - 840
DO - 10.5220/0011768800003607
PB - SciTePress