1.

Record Nr.

UNINA9910798696703321

Titolo

Data visualization : a guide to visual storytelling for libraries / / edited by Lauren Magnuson

Pubbl/distr/stampa

Lanham, Maryland : , : Rowman & Littlefield, , 2016

©2016

ISBN

1-4422-7112-4

Descrizione fisica

1 online resource (249 p.)

Collana

LITA Guide

Disciplina

020

Soggetti

Library science - Graphic methods

Library statistics - Computer programs

Charts, diagrams, etc - Computer programs

Information visualization

Communication in library science

Visual communication

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references at the end of each chapters and index.

Nota di contenuto

Contents; Illustrations; Preface; Chapter 1. Sculpting Data for a Successful Visualization; Chapter 2. Designing Public Visualizations of Library Data; Chapter 3. Tools and Technologies: Visualizing Research Activity in the Discovery Layer in Real Time; Chapter 4. Using Google Tools to Create Public Analytics Visualizations; Chapter 5. Minding the Gap: Utilizing Data Visualizations for Library Collection Development; Chapter 6. A Picture Is Worth a Thousand Books: OBILLSK, Data Visualization, and Interlibrary Loan

Chapter 7. Visualizing the Topical Coverage of an Institutional Repository with VOSviewerChapter 8. Visualizing Archival Context and Content for Digital Collections; Chapter 9. Using R and ggvis to Create Interactive Graphics for Exploratory Data Analysis; Chapter 10. Integrating Data and Spatial Literacy into Library Instruction; Chapter 11. Using Infographics to Teach Data Literacy; Appendix; Index; About the Editor; About the Contributors

Sommario/riassunto

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. A 20-page color insert showcases an extensive selection of visualizations using a variety of technologies and programming languages that can serve as inspir