Python Lottery Analysis: Historical Results and Astronomical Data

Historical lottery draw results integrated with astronomical data, developed by szczyglis-dev and last updated in August 2024. The repository provides a Jupyter notebook demonstrating statistical analysis, linear regression, and visualization of number distributions.

Use Cases

• Assessing linear relationships between lottery draw variables and astronomical data points
• Visualizing historical number distributions to identify statistical patterns in draw results
• Applying predictive modeling techniques to evaluate the randomness of lottery sequences

Strengths

• Integrates astronomical data via the Skyfield library
• Provides a functional Jupyter notebook for immediate analysis
• Released under the permissive MIT license

Limitations

• Unknown record count and specific lottery source
• Lack of documentation regarding specific column names
• Inherent high noise and randomness typical of lottery datasets

Provenance

Source

szczyglis-dev (GitHub)

Freshness

Last updated August 2024.