💸 Synthetic Datasets: Fundraising
The web app creates realistic, customizable datasets for fundraising analysis, testing, or machine learning, supporting up to 1 million records per dataset and 2TB of data with Python scripting. Featuring real-time data generation (refreshed every 5 seconds), ETL processing (cleaning, deduplication, validation, enrichment), and Chart.js-powered dashboards, it covers 13 key areas like campaign performance, donor engagement, fund allocation, and digital fundraising innovations, with export options in CSV, Excel, and JPG. Ideal for optimizing fundraising strategies, building ML models, or simulating donor data—contact me for a tailored dataset for any industry!