人气
计算机科学
数据科学
数据分析
描述性统计
光学(聚焦)
运动员
集合(抽象数据类型)
数据集
分析
事件(粒子物理)
数据挖掘
统计
人工智能
心理学
数学
医学
社会心理学
物理
量子力学
光学
程序设计语言
物理疗法
作者
V Asha,S P Sreeja,Binju Saju,C S Nisarga,Purushotham Gowda N,Arpana Prasad
标识
DOI:10.1109/icears56392.2023.10084943
摘要
This paper is used to analyze data from the Olympic Games in order to identify patterns and trends. The data set includes information on athletes, events, and results from the Games. The analysis will focus on identifying trends in athlete performance, event popularity, and results over time. The study will begin by cleaning and preparing the data for analysis. Next, descriptive statistics will be used to summarize the data. Finally, inferential statistics will be used to identify patterns and trends in the data. It is expected that the analysis will reveal patterns and trends in the data that will be helpful in understanding the Olympic Games and predicting future results.
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