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Project Overview

Open-T-DATA is an open-source initiative focused on streamlining the extraction, transformation, and utilization of open datasets. It provides tools to simplify working with large-scale public datasets by offering efficient data processing pipelines and user-friendly APIs for developers and data enthusiasts.

This project aims to empower communities by making open data more accessible, reusable, and actionable for applications in research, analysis, and product development.

Key Features

• Seamless Data Extraction: Automated ingestion from public APIs and open data sources.
• Data Transformation Pipelines: Process and structure raw data into easy-to-use formats (JSON, CSV, etc.).
• Open APIs: Access transformed datasets through an intuitive API interface.
• Extensible Architecture: Build custom data workflows tailored to your needs.
• Community-Driven: Designed for collaboration, with contributions and feedback encouraged.

Tech Stack

• Languages: Python
• Data Formats: JSON, CSV, API-based
• Version Control: GitHub for source code management and collaboration
• Libraries & Tools: Pandas, NumPy, Requests

Usage Guide

1. Clone the repository:

   bash

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   git clone https://github.com/anurag-bit/open-T-DATA cd open-T-DATA

2. Install dependencies:

   bash

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   pip install -r requirements.txt

3. Use the built-in scripts to extract, transform, and analyze datasets.

4. Explore the API documentation and contribute to the project by submitting pull requests.