14.1 Description
The first dozen chapters in the book created a pipeline to acquire and clean raw data. Once the data is available, we can now do more analytical work on the clean data.
The goal is to transform raw data into information, and possibly even insight to help stakeholders make properly informed decisions. Analytical results need to be shared to be valuable. A Jupyter Notebook is a solid basis to create readable, helpful presentations and reports.
We’ll start by transforming an analysis notebook into a slide deck. You can then use this slide deck to talk through our key points with stakeholders, providing helpful visuals to back up the information they need to understand. These are common in an enterprise environment. (Some would argue they are too common and contain too much of the wrong kind of details.)
We’ll start by looking at creating slide decks and presentations in Jupyter Lab.
14.1.1 Slide decks and presentations
A Jupyter Notebook can be exported...
