Lōkahi Innovation in Healthcare 

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Mohiteam

mkotari

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

The Interactive Data Explorer is a Streamlit-based application designed for hackathon participants to upload, process, and visualize large datasets efficiently.

"Mohiteam team on Lōkahi Innovation in Healthcare Hackathon"

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