Pandas & Numpy: The pandas and numpy libraries handled tasks such as data import, cleaning, transformation, sampling, and summarization.

Plotly & Plotnine: Visual elements within this report were crafted using the plotly and plotnine libraries to create clear and informative visualizations.

Scipy: scipy library was essential for performing critical statistical tests and calculations.

Other libraries such as htmltools and faicons provided various html tags and icons functions.

Quarto Framework: The quarto framework served as the unifying platform, seamlessly combining the outputs generated by the aforementioned tools to produce this comprehensive final report.