The Data Processor is a versatile tool designed to handle various data processing tasks efficiently. Whether you're parsing, transforming, or analyzing data, this application provides a robust framework to streamline your workflow.

• Data Parsing: Easily parse data from various sources including CSV, JSON, XML, and more.
• Data Transformation: Apply custom transformations to manipulate data according to your requirements.
• Data Analysis: Perform insightful analysis on your datasets to extract valuable insights.
• Extensible: Extend functionality with custom plugins tailored to your specific use cases.

• Clone this repository to your local machine.
• Install dependencies using pip install -r requirements.txt.

• Run the application using python data_processor.py.
• Follow the command-line prompts to select your data processing tasks and configure options as needed.

• Explore the available plugins and customize them to suit your specific requirements.
• Add your own plugins by following the provided plugin development guidelines.

• Refer to the detailed documentation for more information on usage, configuration, and plugin development.

Contributions are welcome! If you'd like to contribute to the development of the Data Processor, please follow these guidelines:

• Fork the reposit