Data Visualization

A Guide to Visual Storytelling for Libraries

Edited by Lauren Magnuson

Hardback - £94.00

Publication date:

15 September 2016

Length of book:

248 pages

Publisher

Rowman & Littlefield Publishers

ISBN-13: 9781442271104

Data Visualization: A Guide to Visual Storytelling for Libraries is a practical guide to the skills and tools needed to create beautiful and meaningful visual stories through data visualization. Learn how to sift through complex datasets to better understand a variety of metrics, such as trends in user behavior and electronic resource usage, return on investment (ROI) and impact metrics, and data about library collections and repositories.

Sections include:

·Identifying and interpreting datasets for visualization
·Tools and technologies for creating meaningful visualizations
·Case studies in data visualization and dashboards

Data Visualization also features a 20-page color insert showcasing a wide variety of visualizations generated using an array of data visualization technologies and programming languages that can serve as inspiration for creating your own visualizations.

Understanding and communicating trends from your organization’s data is essential. Whether you are looking to make more informed decisions by visualizing organizational data, or to tell the story of your library’s impact on your community, this book will give you the tools to make it happen.
The edited work Data Visualization: A Guide to Visual Storytelling for Libraries brings together 11 chapters that explore the foundations of data visualization and storytelling, techniques for data visualization of library data, and approaches to the integration of data and visualization expertise into information literacy…. As with other Library Information Technology Association (LITA) guides, this work is well suited for librarians seeking to better understand how data visualization techniques and tools might be used to address common library needs. The inclusion of theoretical, applied, and instructional content broadens the set of potential readers…. Readers seeking a broad work to help them understand data visualization techniques would be well served by using this book with a comprehensive but focused work on a specific software platform and visualization approach.