Notebook (as in Jupyter Notebook)

A “Notebook,” such as a Jupyter Notebook, is a powerful tool that blends together code, visualizations, and text into a single, shareable document. It’s like a digital lab notebook where a data scientist can write down their code, run it, see the results, and make notes, all in one place. This makes it super easy to see the story of how they got from raw data to insights.

In the context of business intelligence and data analytics, Notebooks are incredibly useful because they allow analysts to create and share their work with others easily. They can show a step-by-step process of how they’ve cleaned up data, made graphs, built models, and drawn conclusions. It’s a great way to explain complex data work in a simpler, more understandable way.

Notebooks are like a Swiss Army knife for data professionals—they combine the code, commentary, and results, allowing for more dynamic, interactive work. They help turn complicated data tasks into something more approachable and are essential in making the process of data analysis transparent and reproducible in the business world.