NDLI: Mondrian: an agile information visualization framework

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Mondrian: an agile information visualization framework

Content Provider	ACM Digital Library
Author	Gîrba, Tudor Meyer, Michael Lungu, Mircea
Abstract	Data visualization is the process of representing data as pictures to support reasoning about the underlying data. For the interpretation to be as easy as possible, we need to be as close as possible to the original data. As most visualization tools have an internal meta-model, which is different from the one for the presented data, they usually need to duplicate the original data to conform to their meta-model. This leads to an increase in the resources needed, increase which is not always justified. In this work we argue for the need of having an engine that is as close as possible to the data and we present our solution of moving the visualization tool to the data, instead of moving the data to the visualization tool. Our solution also emphasizes the necessity of reusing basic blocks to express complex visualizations and allowing the programmer to script the visualization using his preferred tools, rather than a third party format. As a validation of the expressiveness of our framework, we show how we express several already published visualizations and describe the pros and cons of the approach.
Starting Page	135
Ending Page	144
Page Count	10
File Format	PDF
ISBN	1595934642
DOI	10.1145/1148493.1148513
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2006-09-04
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Graph visualization Model transformation Software visualization
Content Type	Text
Resource Type	Article

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