Authors :
Chandana M.; Preethi K. P.
Volume/Issue :
Volume 10 - 2025, Issue 8 - August
Google Scholar :
https://tinyurl.com/mtw49ea7
Scribd :
https://tinyurl.com/25xaw8ha
DOI :
https://doi.org/10.38124/ijisrt/25aug858
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Abstract :
The Olympics is one of the most prestigious international sporting events, bringing together over 200 nations to
compete at the highest level of athletic excellence. This paper presents an exploratory data analysis of 120 years of Olympic
history using Python and the “120 Years of Olympic History” dataset from Kaggle. The analysis focuses on country-wise
performance, medal trends over time, gender participation, and sport popularity through advanced data visualization
techniques. The study reveals patterns in participation, dominance of certain nations, and the gradual narrowing of the
gender gap, offering valuable insights for athletes, coaches, analysts, and policymakers to enhance performance and strategic
planning.
Keywords :
Olympics, Data Analysis, Medal Trends, Performance Evaluation, Data Visualization, Athlete Participation.
References :
- H. Heesoo, “120 Years of Olympic History: Athletes and Results,” Kaggle, Jun. 15, 2018. [Online]. Available: https://www.kaggle.com/datasets/heesoo37/120-years-of-olympic-history-athletes-and-results
- A. Jain, V. Kumar, and S. Verma, “Olympic Data Analysis Using Python and Pandas,” International Journal of Advanced Research in Computer Science, vol. 12, no. 5, pp. 45–51, May 2021.
- S. S. Chavan, P. P. Patil, and A. S. More, “Visualization of Sports Data Using Python and Matplotlib,” International Journal of Engineering Research & Technology (IJERT), vol. 10, no. 8, pp. 200–205, Aug. 2021.
- R. Pradhan, K. Agrawal, and A. Nag, “Analyzing Evolution of the Olympics by Exploratory Data Analysis,” IOP Conference Series: Materials Science and Engineering, vol. 1099, p. 012058, Mar. 2021, doi: 10.1088/1757-899X/1099/1/012058.
- A. K. Sharma and N. Gupta, “Data Analysis and Visualization for Sports Analytics,” International Journal of Data Science and Analysis, vol. 7, no. 2, pp. 55–63, 2021.
- O. B. Celik and M. Gius, “Estimating the Determinants of Summer Olympic Game Performance,” International Journal of Applied Economics, vol. 11, no. 1, pp. 1–18, Mar. 2014.
- R. Forrest, I. G. McHale, I. Sanz, and J. D. D. Tena, “An Analysis of Country Medal Shares in Individual Sports at the Olympics,” European Sport Management Quarterly, vol. 17, no. 2, pp. 117–131, 2016.
- H. S. Kudale, M. V. Phadnis, P. J. Chittar, and K. P. Zarkar, “Data Analysis and Visualization of Olympics Using Python,” International Research Journal of Modernization in Engineering, Technology and Science, vol. 4, no. 3, pp. 245–251, Mar. 2022.
The Olympics is one of the most prestigious international sporting events, bringing together over 200 nations to
compete at the highest level of athletic excellence. This paper presents an exploratory data analysis of 120 years of Olympic
history using Python and the “120 Years of Olympic History” dataset from Kaggle. The analysis focuses on country-wise
performance, medal trends over time, gender participation, and sport popularity through advanced data visualization
techniques. The study reveals patterns in participation, dominance of certain nations, and the gradual narrowing of the
gender gap, offering valuable insights for athletes, coaches, analysts, and policymakers to enhance performance and strategic
planning.
Keywords :
Olympics, Data Analysis, Medal Trends, Performance Evaluation, Data Visualization, Athlete Participation.