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A comprehensive analysis of historical Olympics data using Python, focusing on extracting insights and trends from athletes' performances across multiple disciplines

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KhushiNyati/OlyampicsDataAnalysis

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OlyampicsDataAnalysis

The Olympics Data Analysis project explores historical and modern Olympic Games data to uncover trends, insights, and key statistics. This analysis helps understand athletes' performance, country rankings, and other interesting patterns over time.

Features

Data Cleaning: Preparing the dataset by handling missing values, standardizing formats, and removing inconsistencies.

Exploratory Data Analysis (EDA):

• Medal trends over the years.

• Country-wise and athlete-wise performance analysis.

• Gender-based participation trends.

Visualization:

• Medal counts by year, country, and sports.

• Participation trends visualized using line charts, bar graphs, and heatmaps.

Key Insights:

• Identifying the most successful countries and athletes.

• Analyzing the growth of the Olympics over time.

DataSet Link = https://www.kaggle.com/heesoo37/120-years-of-olympic-history-athletes-and-results

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A comprehensive analysis of historical Olympics data using Python, focusing on extracting insights and trends from athletes' performances across multiple disciplines

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