Item type | Current library | Home library | Collection | Shelving location | Call number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|---|---|
Books | American University in Dubai | American University in Dubai | Non-fiction | Library Science Collection | Z 678.93. G73 D38 2016 (Browse shelf(Opens below)) | Available | 5165983 |
LB 2369 .G53 2016 c.2 MLA handbook. | Z 675 .M4 M497 2008 The Medical Library Association guide to health literacy / | Z 678 .S799 2007 Library and information center management / | Z 678.93. G73 D38 2016 Data visualization : a guide to visual storytelling for libraries / | Z 682.4 .C63 B4 2007 Academic librarianship by design : a blended librarian's guide to the tools and techniques / | Z 692 .C65 T35 2018 Electronic resource librarianship : a practical guide for librarians / | Z 694.15 .A56 G67 1999 The concise AACR2, 1998 revision / |
Includes bibliographical references and index.
Sculpting data for a successful visualization / Eric Phetteplace -- Designing public visualizations of library data / Angela Zoss -- Tools and technologies / Godmar Back and Annette Bailey -- Using Google tools to create public analytics visualizations / Lauren Magnuson -- Minding the gap / Roger S. Taylor and Emily Mitchell -- A picture is worth a thousand books : OBILLSK, data visualization, and interlibrary loan / Ryan Litsey, Kenny Ketner, and Scott Luker -- Visualizing the topical coverage of an institutional repository with VOSviewer / David E. Polley -- Visualizing archival content and context for digital collections / Stephen Kutay -- Using R and ggvis to create interactive graphics for exploratory data analysis / Tim Dennis -- Integrating data and spatial literacy into library instruction / Charissa Jefferson -- Using infographics to teach data literacy / Caitlin A. Bagley.
"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 and impact metrics, and learning and reference analytics"
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