Chapter 6
Project 2.1: Data Inspection Notebook

We often need to do an ad hoc inspection of source data. In particular, the very first time we acquire new data, we need to see the file to be sure it meets expectations. Additionally, debugging and problem-solving also benefit from ad hoc data inspections. This chapter will guide you through using a Jupyter notebook to survey data and find the structure and domains of the attributes.

The previous chapters have focused on a simple dataset where the data types look like obvious floating-point values. For such a trivial dataset, the inspection isn’t going to be very complicated.

It can help to start with a trivial dataset and focus on the tools and how they work together. For this reason, we’ll continue using relatively small datasets to let you learn about the tools without having the burden of also trying to understand the data.

This chapter’s projects cover how to create and use a Jupyter notebook for data inspection...