Tutorials
This section provides step-by-step tutorials for common use cases of the
onlinerake package. Each tutorial includes complete code examples and
explanations of the key concepts.
Tutorial Overview
- basic_usage
Learn the fundamentals of online raking with a simple example.
- bias_correction
Correct demographic bias in online surveys using real-world scenarios.
- streaming_polls
Handle real-time polling data with changing demographics over time.
- algorithm_comparison
Compare SGD vs MWU algorithms and choose the right one for your use case.
Prerequisites
Before working through these tutorials, make sure you have:
Installed the
onlinerakepackage (Installation)Basic familiarity with Python and pandas
Understanding of survey weighting concepts (helpful but not required)
Getting Help
If you encounter issues with any tutorial:
Check the API Reference for detailed parameter descriptions
Review the Examples for additional use cases
Open an issue on GitHub if you find bugs or have suggestions