Mahdi-Husseini

📊 3-days-battery-consumption-data - Analyze Smartphone Battery Usage with Ease

📥 Download Now

🚀 Getting Started

Welcome to the 3-days-battery-consumption-data repository. This dataset helps you model smartphone battery consumption over a 72-hour period. It captures power usage based on screen brightness, app usage, and network activity. Researchers and hobbyists can use this data to validate models related to battery life and energy consumption analysis.

📦 System Requirements

To ensure the best experience, please check the following system requirements:

• Operating System: Windows 10, macOS, or Linux
• Memory: Minimum 2 GB RAM
• Storage: At least 100 MB of free space

📊 Dataset Overview

The dataset is sampled every 10 minutes, offering insights into battery performance under various conditions. Key parts of the dataset include:

• Screen Brightness Levels: Different brightness settings to see their impact on battery life.
• App Usage Data: Tracks which apps are in use and how they affect battery consumption.
• Network Activity Logs: Assesses how network usage (Wi-Fi, mobile data) contributes to battery drain.

📥 Download & Install

To get started, visit the Releases page to download the dataset. Follow these steps:

1. Click the button below to go to the Releases page: Download from Releases

2. Choose the version that suits your needs. Typically, the latest version will be the most up-to-date.

3. Download the dataset file. The file will be in CSV format for easy access and analysis.

4. Save the file to a convenient location on your computer.

5. Open the file using any spreadsheet program, like Microsoft Excel or Google Sheets.

📖 How to Analyze the Data

Once you have the dataset, you can start analyzing it. Here are some ways you might explore the data:

• Create Graphs: Use graphing tools in your spreadsheet software to visualize battery usage over time.
• Filter Data: Examine specific time frames, brightness settings, or apps to view their direct impact on battery life.
• Compare Scenarios: See how different conditions (such as high vs. low brightness) affect overall consumption.

🛠 Features of the Dataset

• Easy-to-Understand CSV Format: You can open the data in common spreadsheet applications.
• Time-Stamped Entries: Each entry comes with a timestamp every 10 minutes.
• Detailed Logging: The dataset logs various parameters relevant to battery consumption, providing a comprehensive view.

❓ FAQs

What is the format of the dataset?
The dataset is available in CSV format, which is compatible with most data analysis tools and spreadsheet applications.

Can I use this data for commercial purposes?
As of now, the data is for educational and research purposes. Please refer to specific licensing terms provided in the repository.

Who can use this dataset?
Anyone interested in smartphone battery life, including researchers, students, and enthusiasts, can access and analyze the data.

👥 Contributing

If you want to contribute to this project, please fork the repository and submit a pull request. We welcome improvements and additional features.

📜 License

The dataset is released under the MIT License. You may use it freely as long as you provide credit to the original source.

📢 Community and Support

For any questions or support, feel free to open an issue in the GitHub repository. Join the discussion to share your findings or ask for help.

📥 Download Again

Don’t forget to download the dataset if you haven’t done so yet. Click the link below:

Download from Releases