Book Image

Clean Data

By : Megan Squire
Book Image

Clean Data

By: Megan Squire

Overview of this book

<p>Is much of your time spent doing tedious tasks such as cleaning dirty data, accounting for lost data, and preparing data to be used by others? If so, then having the right tools makes a critical difference, and will be a great investment as you grow your data science expertise.</p> <p>The book starts by highlighting the importance of data cleaning in data science, and will show you how to reap rewards from reforming your cleaning process. Next, you will cement your knowledge of the basic concepts that the rest of the book relies on: file formats, data types, and character encodings. You will also learn how to extract and clean data stored in RDBMS, web files, and PDF documents, through practical examples.</p> <p>At the end of the book, you will be given a chance to tackle a couple of real-world projects.</p>
Table of Contents (17 chapters)
Clean Data
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Setting terms and licenses for your data


An important part of any plan for data distribution is deciding the expectations you have for how your users will cite, share, or remix your data. The list of expectations for how you want users to work with your data is called the data's Terms of Use (ToU). The ToU may also give the users specific rights, such as the ability to make changes or redistribute the data. This collection of rights that you grant to the users is called the data license. Users can choose to use your dataset—or not—based on whether they agree to abide by its ToU. They can also decide to use the data based on whether what they want to do with the data has been allowed by its license.

In this section, we will outline a few choices you can make for how to set expectations for how users should interact with your data. We will also review some of the most common items you may wish to include in the ToU, as well as some of the more common pre-made licenses that can be applied to...