Welcome to the Olympic Data Visualization and Analysis repository! In this repository, you will find a variety of Jupyter notebooks and Python scripts that demonstrate how to use different technologies, such as Plotly Express and Pandas, to visualize and analyze Olympic data. From exploring trends and patterns in medal counts to analyzing athlete performance, these resources provide a wide range of tools and techniques for understanding the rich history and diversity of the Olympic Games. Whether you are a beginner or an experienced data scientist, you will find something of interest in this repository.
You can see live version here
This repository includes the following resources:
- assets: A directory containing images and other assets used in the app.
- data: A directory containing the data used in the app.
- layouts: A directory containing all blocks of the app.
To use the resources in this repository, you will need the following software:
- Python 3.x
- Dash
- Plotly
- Pandas
To get started with the notebooks and scripts in this repository, follow these steps:
- Clone or download the repository to your local machine.
- Install the required software (Python, Jupyter, Plotly, Pandas). Open the Jupyter notebooks or Python scripts in your preferred text editor or IDE.
- Follow the instructions and code comments to understand how each resource works. Contributions
- We welcome contributions to this repository! If you have suggestions for improving the resources or have created your own notebooks or scripts that demonstrate how to visualize and analyze Olympic data, please feel free to submit a pull request.