about the book

The Art of Data Usability teaches you to think about data quality in context, presenting a methodology to maximize the usefulness of data for its intended consumers. In this practical guide, you'll master an iterative process for identifying and refining user data needs and reflecting those requirements in your data projects. You'll benefit from author Tryggvi Bjorgvinnson's years of experience delivering artful data projects as you learn to apply quality management principles to your projects, collect techniques to monitor the attributes you need from your data, and develop Python-based scripts to run against datasets. You'll also discover which parts of the process can be automated and develop an intuition for when good, old-fashioned whiteboarding is a better idea. With these best practices, crystal-clear instructions, and hands-on projects, you'll be able to get data that you can really trust!

what's inside

• Attributes of quality data
• Identifying user needs and requirements
• Using Python for data quality monitoring
• The correct way to disseminate your data
• Best practices and methods to improve data usability

about the reader

Written for readers comfortable with data management and common data formats such CSV and JSON.

about the author

Tryggvi Björgvinsson is the head of IT and dissemination at Statistics Iceland. He holds a Ph.D. in software engineering.