/breakeven_youtube_metric

Primary LanguagePython

# YouTube Breakeven Point Calculator

This Streamlit app calculates the breakeven point for a YouTube channel based on the current subscribers, watch hours, daily growth rates, and historical data. It provides a forecast of when the channel will reach 1000 subscribers and 4000 watch hours, displaying the results in a graph.

## Features

- Input current subscribers and watch hours.
- Input daily new subscribers and watch hours.
- Input historical subscriber and watch hour data.
- Automatically calculate growth rates based on historical data.
- Calculate the number of days to reach 1000 subscribers and 4000 watch hours.
- Display a forecast graph of subscriber and watch hour growth.

## Installation

1. Clone the repository:

```sh
git clone https://github.com/yourusername/youtube-breakeven-calculator.git
cd youtube-breakeven-calculator
  1. Install the required packages:
pip install streamlit pandas matplotlib

Usage

  1. Run the Streamlit app:
streamlit run youtube_breakeven.py

  1. Open your web browser and go to http://localhost:8501.

  2. Use the sidebar to input your current statistics, daily growth rates, and historical data.

  3. View the results and forecast graph.

File Structure

.
├── youtube_breakeven.py
├── README.md
└── requirements.txt
  • youtube_breakeven.py: The main Streamlit application file.
  • README.md: This readme file.
  • requirements.txt: List of dependencies for the project.

Dependencies

  • streamlit
  • pandas
  • matplotlib

Contributing

Contributions are welcome! Please open an issue or submit a pull request for any improvements or bug fixes.

License

This project is licensed under the MIT License. See the LICENSE file for details.


Replace `https://github.com/yourusername/youtube-breakeven-calculator.git` with the actual URL of your GitHub repository. The `requirements.txt` file should contain the dependencies:

streamlit pandas matplotlib