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

• Pubblicazione: Lanham, Maryland : , : Rowman & Littlefield, , 2016; ©2016
• Descrizione fisica: 1 online resource (249 p.)
• Disciplina: 020
• Soggetto topico: Library science - Graphic methods; Library statistics - Computer programs; Charts, diagrams, etc - Computer programs; Information visualization; Communication in library science; Visual communication
• Persona (resp. second.): MagnusonLauren <1986->
• 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
• Titolo autorizzato: Data Visualization
• ISBN: 1-4422-7112-4
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910808812103321
• Lo trovi qui: Univ. Federico II
• Serie: LITA guides.