Visual Analysis of FIFA World Cup Data

Author(s)	Renu Yadav, Swarnima Arya, Abhimanyu Tiwari, Rajesh Sharma
Country	India
Abstract	The FIFA World Cup has become an international event during the last thirty years, and the 2022 final in Qatar is expected to draw over three billion spectators. This study examines the variables affecting national football success by using data from 68 World Cup-playing nations between 1994 and 2022. The influence of national sports prowess, as seen by Olympic accomplishments, and football heritage, such as hosting history and World Cup victories, are among the important factors that determine success, according to a generalized linear mixed model (GLMM). It's interesting to note that the study finds a negative relationship between performance and the Human Development Index (HDI), although past football involvement has no bearing. Additionally important are interaction effects, which include population size, economic status, and football tradition.
Keywords	FIFA World Cup, data analysis, football performance, macro factors, econometrics.
Field	Computer > Data / Information
Published In	Volume 7, Issue 1, January-February 2025
Published On	2025-02-01
Cite This	Visual Analysis of FIFA World Cup Data - Renu Yadav, Swarnima Arya, Abhimanyu Tiwari, Rajesh Sharma - IJFMR Volume 7, Issue 1, January-February 2025. DOI 10.36948/ijfmr.2025.v07i01.36215
DOI	https://doi.org/10.36948/ijfmr.2025.v07i01.36215
Short DOI	https://doi.org/g83xxm

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