debdutta04/shibamroy2626.github.io

Table of Contents

1. Overview
2. Meet The Team
3. Olympics Medals Analysis
• Project Overview
• Team Members
• Methodology
• Key Findings
• Conclusion
• Data Source
• Acknowledgement

Overview

This is a repository of us 4 friends' project on GeeksForGeeks' Data Analysis Competetion(Hackathon) This Data Analysis Project is an exciting endeavor that brings together a team of newbie enthusiast programmers, individuals with a passion for sports, data analysis, and web development.This project is related to the data of past 120 years of Olympics, we are going to analyze this data and find some useful insights using this data.

 Meet The Team

• Data Analyst 1: Shibam Roy - A passionate and skilled Data Analyst with a profound love for coding. His extensive knowledge of various programming languages and frameworks enables him to undertake complex data analysis projects. From childhood, Shibam has been dedicated to coding, resulting in an impressive portfolio of remarkable projects. His analytical mindset, creativity, and effective communication make him a valuable asset to any data-driven team.


• Data Analyst 2: Swadhin Maharana- A skilled Data Analyst and Full Stack Developer proficient in Python, MySQL, and JavaScript. His expertise in creating multifunctional games and web apps from scratch using Pygame, Django, and Flask sets him apart. Notably, he has developed a full-fledged game with global and real-time data handling capabilities, showcasing his creativity and technical prowess. Swadhin's versatile skills make him a valuable asset, seamlessly integrating data insights into practical applications.


• Front-end Developer: Debdutta Burman- A talented Front-end Developer with a passion for Competitive Programming (CP). She excels in C++, CSS, JavaScript, Tailwind CSS, HTML, Node.js, and React.js. Her creative problem-solving skills and attention to detail allow her to craft visually stunning and user-friendly web interfaces. With a deep appreciation for clean coding practices, Debdutta consistently delivers innovative and responsive web applications.


• Presenter: Ankush Roy - With a strong love for mathematics and an enthusiastic interest in programming. Despite being new to coding, his fascination with technology and data-driven insights drives him to excel in delivering captivating presentations. His unique blend of mathematical insights and growing programming skills make him a valuable asset to the team.

Olympic Medals Analysis

Project Overview

This data analysis project delves into the historical records of Olympic Games from 1896 to 2022. The primary objective is to explore and analyze the distribution of medals won by various countries over the years. The project was conducted as part of a competition organized by GeeksforGeeks (GFG).

Team Members

• Shibam Roy: Data Analyst
• Swadhin Maharana: Data Analyst
• Debdutta Burman: Frontend Dev
• Ankush Roy: Presentation Expert

Methodology

• Data Cleaning: The dataset was thoroughly cleaned to remove inconsistencies and errors.
• Data Exploration: Initial exploratory data analysis was performed to uncover general trends.

• Data Visualization: Various visualization techniques were used to present findings effectively.
• Statistical Analysis: Statistical methods were employed to identify correlations and patterns.

Key Findings

• Top Performing Countries: Identified countries consistently winning the most medals.(Out of which USA had the most medals of all types)
• Medal Type Distribution: Analyzed the distribution of Gold, Silver, and Bronze medals among top-performing countries.
• Correlation of Country population and Country location with Amount of medals

Conclusion

This analysis provided valuable insights into the historical performance of countries in the Olympic Games. It sheds light on dominant countries and medal type distributions, contributing to a deeper understanding of Olympic success factors. You can check out this website for further detailed info: to check click here There's also a video presentation on youtube for this project: here

Data Source

The dataset used for this analysis is mainly sourced from GeeksForGeeks. It covers Olympic medal data from 1896 to 2022. For further data analysis, we used a dataset from kaggle, click here to check it out.

Acknowledgments

We would like to express our gratitude to GeeksforGeeks (GFG) for organizing the competition and providing the opportunity to work on this exciting project.