Cantitate/Preț
Produs

Data Visualization: A Guide to Visual Storytelling for Libraries: Lita Guides

Editat de Lauren Magnuson
en Limba Engleză Hardback – 15 sep 2016
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.
Citește tot Restrânge

Din seria Lita Guides

Preț: 52566 lei

Preț vechi: 81146 lei
-35% Nou

Puncte Express: 788

Preț estimativ în valută:
10062 10562$ 8312£

Carte indisponibilă temporar

Doresc să fiu notificat când acest titlu va fi disponibil:

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9781442271104
ISBN-10: 1442271108
Pagini: 260
Dimensiuni: 152 x 229 x 2 mm
Greutate: 0.57 kg
Editura: Rowman & Littlefield Publishers, Inc.
Seria Lita Guides


Notă biografică

Lauren Magnuson is systems and emerging technologies librarian at California State University, Northridge and development coordinator for the Private Academic Library Network of Indiana (PALNI). Her interests include PHP, Python, analytics, and data visualization, as well as promoting open source technology in academic libraries. She has an MA in information science and an MEd in educational technology from the University of Missouri and a BA in philosophy from Tulane.