🩺 Synthetic Datasets: Healthcare
The web app creates realistic, customizable datasets for healthcare analysis, testing, or machine learning, supporting up to 1 million records per dataset and 2TB of data with Python scripting. With real-time data generation (refreshed every 5 seconds), ETL processing (cleaning, deduplication, validation, enrichment), and Chart.js-powered dashboards, it covers 15 key areas like patient demographics, clinical outcomes, costs, provider performance, and population health, with export options in CSV, Excel, and JPG. Perfect for optimizing healthcare operations, building ML models, or simulating medical data—contact me for a tailored dataset for any industry!