Apollo - Synthetic Data Generator
Apollo is a Python GUI application designed to simplify the complex process of generating random data based on fixed values. It allows users to generate various types of binary datasets, such as Yes/No type questions, by specifying probabilities. For example, if you want to generate data for "users that use our app daily" with a probability of 0.6, Apollo will ensure that 60% of the generated data reflects daily usage, while 40% does not. Additionally, you can create weighted options where multiple choices can be assigned different probabilities.
Use Cases
Apollo can be utilized in various scenarios, including but not limited to:
Market Research: Generate realistic survey data with custom probabilities for responses.
Software Testing: Create test datasets for applications that require diverse input scenarios.
Machine Learning: Produce synthetic datasets for training models, especially when real data is scarce or privacy is a concern.
Education: Teach students about data generation and probabilistic distributions in a practical, hands-on manner.
