Numerical data: Programming exercises
Page Summary
This page provides programming exercises focusing on practicing numerical data analysis skills learned in a previous lesson.
Two Colab exercises are available: one on calculating descriptive statistics and identifying outliers, and another on detecting and handling bad data values in a dataset.
The exercises are browser-based and require no setup, utilizing the Colaboratory platform, primarily supported on Chrome and Firefox desktop versions.
Take some time to complete the following exercises to practice what you'velearned inFirst steps with numerical data.
- Get statistics on a dataset, which shows you how to find columns containing blatant outliers:
- Find the bad part of the dataset, which guides you through visual and mathematical ways to find hiddenbad values in a dataset:
Programming exercises run directly in your browser (no setuprequired!) using theColaboratoryplatform. Colaboratory is supported on most major browsers, and is mostthoroughly tested on desktop versions of Chrome and Firefox.
Except as otherwise noted, the content of this page is licensed under theCreative Commons Attribution 4.0 License, and code samples are licensed under theApache 2.0 License. For details, see theGoogle Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2025-08-25 UTC.