Support me here if you liked this!
Welcome to my cutting-edge entertainment analysis tool, where data meets entertainment! With our sleek and intuitive Streamlit web application, you can dive deep into the world of your favorite platforms and uncover insights that you never knew existed. Get ready to discover the hidden gems, trending hits, and everything in between with just a few clicks. Let's turn data into entertainment magic!
| 📕 Goodreads | 🍿 Letterboxd | 🎮 Steam |
|---|---|---|
 Dashboards |
 In-Depth Analysis |
 Awesome Stats |
 |
 |
 |
 |
 |
|
| ======= |
This is a web application built with Streamlit for analyzing data from various entertainment platforms.
Currently, the following platforms are supported:
- Goodreads
- Steam
- Letterboxd
To use this application, follow these steps:
- Clone this repository to your local machine
- cd into it and
python -m venv envandenv\Scripts\activate - Install the required dependencies using
pip install -r requirements.txt - Run the application using
streamlit run ⭐MEDIA_ANALYSIS.py - Select a platform from the sidebar
- Upload your CSV file or download the example CSVs. To test, use the CSVs in
pages/sample-csv - Explore your data and gain insights!
Contributions are always welcome! If you would like to contribute to this project, please follow these steps:
- Fork this repository
- Create a new branch with your feature or bug fix
- Make your changes and commit them with descriptive commit messages
- Push your changes to your fork
- Create a pull request to merge your changes into the main branch of this repository
Note: app.py is the main file for Streamlit application. The pages/ directory contains the code and the example CSVs for each subpage which is accessed from the sidebar.
This application was built by Atharva Shah using Streamlit.
This project is licensed under the MIT License.