https://github.com/manisharora96/data-analysis-of-smartwatch

The project is structured with sample data, step-by-step Jupyter notebooks, and modular Python scripts for automated analysis
https://github.com/manisharora96/data-analysis-of-smartwatch

data-analysis data-visualization jupyter-notebook python smartwatch-analysis

Last synced: 9 days ago
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The project is structured with sample data, step-by-step Jupyter notebooks, and modular Python scripts for automated analysis

• Host: GitHub
• URL: https://github.com/manisharora96/data-analysis-of-smartwatch
• Owner: manisharora96
• Created: 2025-01-04T12:29:23.000Z (26 days ago)
• Default Branch: main
• Last Pushed: 2025-01-04T12:43:07.000Z (26 days ago)
• Last Synced: 2025-01-21T02:12:53.746Z (9 days ago)
• Topics: data-analysis, data-visualization, jupyter-notebook, python, smartwatch-analysis
• Language: Jupyter Notebook
• Homepage:
• Size: 181 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Data-Analysis-of-Smartwatch

This Repository named as **Smartwatch Data Analysis** It will gives idea about to:

- Analyze smartwatch data to track fitness, health, and activity metrics.

- Visualize trends and patterns in the data.

- Perform statistical analysis to derive meaningful insights.

- Preprocess raw smartwatch data for structured analysis.

- Customizable scripts to suit various smartwatch data formats.

### Prerequisites

To get started, ensure you have the following installed on your system:

- Python (3.8 or higher)

- pip (Python package installer)

### Installation

1. Clone the repository:

   ```bash

   git clone https://github.com/yourusername/smartwatch-data-analysis.git

   ```

2. Navigate to the project directory:

   ```bash

   cd smartwatch-data-analysis

   ```

3. Install the required dependencies:

   ```bash

   pip install -r requirements.txt

   ```

### Usage

1. Place your smartwatch data in the `data/` directory.

2. Open the Jupyter notebooks in the `notebooks/` directory to start analyzing the data.

   ```bash

   jupyter notebook notebooks/

   ```

3. Use the Python scripts in the `src/` directory for automated analysis.

   ```bash

   python src/analyze_data.py

   ```

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## Contribution

Contributions are welcome! If you have suggestions, bug fixes, or new features, feel free to:

1. Fork the repository.

2. Create a new branch.

3. Submit a pull request with detailed explanations.

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