Information visualization is considered one of the prime emerging technologies for large-scale data analysis and is an important topic for information professionals to understand. It deals with analyzing, displaying, communicating and interpreting massive amounts of abstract data effectively and efficiently via visual representations. In this webinar, Dr. Chen will present and discuss how information visualization can be used to help libraries and librarians utilize the abundant data resources (to which they now have more and more access) to provide better patron services through enhanced collection analysis, resource allocation, and user engagement.https://scholarworks.sjsu.edu/slasc/1009/thumbnail.jp
Abstract: Information Visualization, writ large, is related to information graphics, data/text minin...
Data Visualization: A Guide to Visual Storytelling for Libraries is a practical guide to the skills ...
As libraries collect more and more data, it is worth taking some time to analyze the data we collect...
Data visualization is a rapidly expanding field whose skills, techniques and insights are increasing...
In this presentation, Michelle Chen covers the basic concepts of information visualization - what it...
Information visualization communicates and presents data, information, and knowledge through a graph...
The concept of digital libraries is familiar to both librarians and library patrons today. These new...
Information visualization can be defined as the use of computer-supported, interactive, visual repre...
In an age characterized by tremendous technological break-throughs, the world is witnessing overwhel...
Data visualization has become an increasingly important part of working with research data. While u...
Data visualization is a series of data processing processes that produce information in a dynamic vi...
International audienceThis paper comprises an attempt to create information visualizations for the P...
While a number of presentations and webinars have talked about data visualization for library assess...
This paper presents a conceptual review exploring the application of information visualization techn...
Information visualization is an highly emerging topic in both research and practical software develo...
Abstract: Information Visualization, writ large, is related to information graphics, data/text minin...
Data Visualization: A Guide to Visual Storytelling for Libraries is a practical guide to the skills ...
As libraries collect more and more data, it is worth taking some time to analyze the data we collect...
Data visualization is a rapidly expanding field whose skills, techniques and insights are increasing...
In this presentation, Michelle Chen covers the basic concepts of information visualization - what it...
Information visualization communicates and presents data, information, and knowledge through a graph...
The concept of digital libraries is familiar to both librarians and library patrons today. These new...
Information visualization can be defined as the use of computer-supported, interactive, visual repre...
In an age characterized by tremendous technological break-throughs, the world is witnessing overwhel...
Data visualization has become an increasingly important part of working with research data. While u...
Data visualization is a series of data processing processes that produce information in a dynamic vi...
International audienceThis paper comprises an attempt to create information visualizations for the P...
While a number of presentations and webinars have talked about data visualization for library assess...
This paper presents a conceptual review exploring the application of information visualization techn...
Information visualization is an highly emerging topic in both research and practical software develo...
Abstract: Information Visualization, writ large, is related to information graphics, data/text minin...
Data Visualization: A Guide to Visual Storytelling for Libraries is a practical guide to the skills ...
As libraries collect more and more data, it is worth taking some time to analyze the data we collect...