Numerical data: Programming exercises
Take some time to complete the following exercises to practice what you've
learned in
First 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 hidden bad
values in a dataset:
Programming exercises run directly in your browser (no setup
required!) using the Colaboratory
platform. Colaboratory is supported on most major browsers, and is most
thoroughly tested on desktop versions of Chrome and Firefox.
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2025-01-29 UTC.
[null,null,["Last updated 2025-01-29 UTC."],[[["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."]]],[]]