https://github.com/kosuri-indu/allaboutolympics
All About Olympics is an interactive dashboard presenting comprehensive data and insights on Olympic Games from 1896 to 2020.
https://github.com/kosuri-indu/allaboutolympics
data-analysis pandas plotly python streamlit
Last synced: 2 months ago
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All About Olympics is an interactive dashboard presenting comprehensive data and insights on Olympic Games from 1896 to 2020.
- Host: GitHub
- URL: https://github.com/kosuri-indu/allaboutolympics
- Owner: kosuri-indu
- Created: 2024-04-19T15:05:50.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-05-10T06:04:53.000Z (about 2 years ago)
- Last Synced: 2025-06-13T03:42:30.362Z (about 1 year ago)
- Topics: data-analysis, pandas, plotly, python, streamlit
- Language: Jupyter Notebook
- Homepage: https://all-about-olympics.streamlit.app/
- Size: 4.89 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
## Olympics Data Analysis Dashboard 🏆📅
This project showcases an interactive data analysis dashboard where we have analyzed and visualized Olympic Games data. Explore the interactive charts and tables to gain insights into Olympic Games data.
### Features
- **Medal Tally Analysis**: View medal tally based on selected year and country.
- **Overall Analysis**: Explore overall statistics like editions, host cities, participating nations, and more.
- **Country-wise Analysis**: Analyze medal tallies and sports performance of specific countries over the years.
- **Athlete-wise Analysis**: Investigate top athletes, age distributions, and participation trends.
### Tech Stack
| Language | Libraries Used |
|-----------|---------------|
| Python | Numpy, Pandas, Matplotlib, Seaborn, Plotly (express, figure_factory), Pillow, Streamlit|
### Resources
- CampusX : https://www.youtube.com/watch?v=5nQXhusiu7s&t=92s
- Documentation of the Libraries
- And also added my own data analysis components as well
### Folder Structure
```
olympics-analysis/
│
├── app.py
├── data/
│ ├── Athletes_summer_games.csv
│ ├── Athletes_winter_games.csv
│ └── regions.csv
├── images/
│ └── logo.jpeg
├── helper.py
├── preprocessor.py
├── requirements.txt
└── README.md
```