Explore the top Python data visualization libraries and learn how to turn data into compelling visuals that reveal patterns, trends, and actionable insights.

In this report is to examines the arrival delays for two airlines accross five destination. Packages tidyr and dplyr will be use to tidy the dataset after creating the data, then analyze the ...

code-fold: show # https://quarto.org/docs/output-formats/html-code.html code-tools: true # https://quarto.org/docs/reference/cells/cells-jupyter.html ...