Interactive Hackathon Data Explorer

Created by team Mohiteam on December 08, 2024

Its Key features include data loading, preprocessing, sampling, and dynamic visualization suggestions based on data types. The application supports CSV and Parquet file formats and offers a user-friendly interface for filtering and selecting visualizations. Best use cases include analyzing patient data, visualizing medical research results, and exploring healthcare metrics to gain insights and make data-driven decisions. By leveraging advanced technologies and providing a user-friendly interface, the tool addresses the challenges of handling large datasets and supports data-driven decision-making across various industries

Category tags:

Healthcare, Web Application

Github Presentation Demo

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