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OLYMPIC DATA ANALYSIS
ISSN: 2582 - 9130
Publisher: author
OLYMPIC DATA ANALYSIS
Indexed in
Technology and Engineering
ARTICLE-FACTOR
1.3
Article Basics Score: 2
Article Transparency Score: 2
Article Operation Score: 2
Article Articles Score: 3
Article Accessibility Score: 2
SUBMIT PAPER ASK QUESTION
International Category Code (ICC):
ICC-1802
Publisher: Krishma Publication
International Journal Address (IAA):
IAA.ZONE/2582384319130
eISSN
:
2582 - 9130
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Abstract
This research paper's main goal is to analyse a sizable Olympic dataset using exploratory data analysis and assess how the Olympic Games have changed throughout time. Many data analyses on the Olympics have been conducted in the past using a variety of techniques, including artificial neural networks for predicting sports results, a novel sports prediction framework developed using machine learning, exploratory data analysis, and analytical and empirical techniques. Previous studies had a number of drawbacks, including the fact that data is redundant in many databases and they are unable to support the idea that a country's success in the Olympics is strongly correlated with the number of competitors they send. General Terms: Exploratory Data Analysis for Olympic data of years from 1896 to 2016. Keywords: Metal Tally, Overall Analysis, Athlete Wise Analysis, Country Wise Analysis.
