"Literate coding" or "literate programming" is a methodology introduced by Donald Knuth in which a programmer writes the rationale behind the code and the code itself in a human-readable format. In the context of data science, literate coding often refers to the practice of interweaving code, data visualizations, and narrative text in a single document, making the analysis more understandable and reproducible.
Tools like Jupyter Notebooks and R Markdown are popular platforms for literate coding in data science. They allow data scientists to create and share documents that contain live code, equations, visualizations, and narrative text. This approach not only makes the analysis transparent but also facilitates collaboration, as others can easily understand the logic and steps behind the analysis.
Quarto- an open source publishing system
R Markdown by 
R Markdown Cookbook by