Table of Contents
- Data Analyst : 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 Extractor: Swadhin Maharana is a proficient Data Extractor and Full Stack Developer with a focus on Python, MySQL, and JavaScript. His exceptional abilities lie in extracting and managing data for various projects, a skill set that greatly contributed to the success of our endeavor. Using his expertise in Pygame, Django, and Flask, Swadhin has not only created multifunctional games and web apps but also played a crucial role in fetching and integrating real-time data.
- 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.
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).
- Shibam Roy: Data Analyst
- Swadhin Maharana: Data Analyst
- Debdutta Burman: Frontend Dev
- Ankush Roy: Presentation Expert
- 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.
- 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
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
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.
We would like to express our gratitude to GeeksforGeeks (GFG) for organizing the competition and providing the opportunity to work on this exciting project.