Finding Ghosts in Your Data: Anomaly Detection Techniques with Examples in Python

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022

K. FeaselFinding Ghosts in Your Datahttps://doi.org/10.1007/978-1-4842-8870-2_6

6. Implementing the First Methods

Kevin Feasel¹  

(1)

DURHAM, NC, USA

 

The prior two chapters have given us a foundation for work, with Chapter 4 laying out the fundamental API calls and stub methods and then Chapter 5 following up with unit and integration tests. In this chapter, we will build upon that foundation and begin to implement our first outlier detection tests. Following the principle of “start with simple,” we will put into place some of the easiest tests: statistics-based, univariate outlier detection tests.

A Motivating Example

A univariate outlier detector sounds rather ...