Data visualization : a guide to visual storytelling for libraries

cover image

Where to find it

Information & Library Science Library

Call Number
Z678.93.G73 D38 2016
Status
Available

Authors, etc.

Names:

Summary

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.

Contents

  • List of Illustrations p. vii
  • Preface p. xi
  • 1 Sculpting Data for a Successful Visualization p. 1 Eric Phetteplace
  • 2 Designing Public Visualizations of Library Data p. 19 Angela M. Zoss
  • 3 Tools and Technologies p. 45 Godmar Back and Annette Bailey
  • 4 Using Google Tools to Create Public Analytics Visualizations p. 65 Lauren Magnuson
  • 5 Minding the Gap p. 77 Roger S. Taylor and Emily Mitchell
  • 6 A Picture Is Worth a Thousand Books: OBILLSK, Data Visualization, and Interlibrary Loan p. 95 Ryan Litsey and Kenny Ketner and Scott Luker
  • 7 Visualizing the Topical Coverage of an Institutional Repository with VOSviewer p. 111 David E. Polley
  • 8 Visualizing Archival Content and Context for Digital Collections p. 127 Stephen Kutay
  • 9 Using R and ggvis to Create Interactive Graphics for Exploratory Data Analysis p. 149 Tim Dennis
  • 10 Integrating Data and Spatial Literacy into Library Instruction p. 173 Charissa Jefferson
  • 11 Using Infographics to Teach Data Literacy p. 187 Caitlin A. Bagley
  • Appendix: Data Visualization Technologies Discussed in This Volume p. 201
  • Index p. 205
  • About the Editor p. 209
  • About the Contributors p. 211

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