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ERIC Number: EJ1035524
Record Type: Journal
Publication Date: 2013
Pages: 14
Abstractor: As Provided
Reference Count: 15
ISSN: ISSN-0046-2012
A Graphics Design Framework to Visualize Multi-Dimensional Economic Datasets
Chandramouli, Magesh; Narayanan, Badri; Bertoline, Gary R.
Engineering Design Graphics Journal, v77 n3 p1-14 Fall 2013
This study implements a prototype graphics visualization framework to visualize multidimensional data. This graphics design framework serves as a "visual analytical database" for visualization and simulation of economic models. One of the primary goals of any kind of visualization is to extract useful information from colossal volumes of data and more importantly, communicate the extracted information. Using a multidimensional framework not only significantly enhances the ability to view multiple variables, but also brings together diverse data formats on one canvas. Economists cope with huge multi-dimensional data sets on a day-to-day basis. Various graphic and tabulation methods have been used for methodically representing and analyzing such colossal data. However, not much effort has been directed towards applying desktop Virtual Reality (dVR) based technologies to visualize such multidimensional economic data sets. Such procedures enable data visualization without compromising the richness of preserving multiple dimensions relevant to the analytic questions in consideration. We demonstrate the possibility of such an application to a widely used time-series bilateral multi-sector trade dataset. Usefulness of this framework and application is shown using several analytical and numerical examples.
Engineering Design Graphics Division, American Society for Engineering Education. 1818 N Street NW Suite 600, Washington, DC 20036. Tel: 202-331-3500; Web site:
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A