Data Visualization: Difference between revisions
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== Comparision between Information Visualization and Data Visualization == | == Comparision between Information Visualization and Data Visualization == | ||
{{Quotation|Information visualization is the broadest term that could be taken to subsume all the developments described here. At this level, almost anything, if sufficiently organized, is information of a sort. Tables, graphs, maps and even text, whether static or dynamic, provide some means to see what lies within, determine the answer to a question, find relations, and perhaps apprehend things which could not be seen so readily in other forms. | {{Quotation|Information visualization is the broadest term that could be taken to subsume all the developments described here. At this level, almost anything, if sufficiently organized, is information of a sort. Tables, graphs, maps and even text, whether static or dynamic, provide some means to see what lies within, determine the answer to a question, find relations, and perhaps apprehend things which could not be seen so readily in other forms. | ||
In this sense, information visualization takes us back to the earliest scratches of forms on rocks, to the development of pictoria as mnemonic devices in illuminated manuscripts, and to the earliest use of diagrams in the history of science and mathematics. | In this sense, information visualization takes us back to the earliest scratches of forms on rocks, to the development of pictoria as mnemonic devices in illuminated manuscripts, and to the earliest use of diagrams in the history of science and mathematics. | ||
But, as used today, the term information visualization is generally applied to the visual representation of large-scale collections of non-numerical information, such as files and lines of code in software systems, library and bibliographic databases, networks of relations on the internet, and so forth. In this document we avoid both the earliest, and most of the latest uses in this sense. | But, as used today, the term information visualization is generally applied to the visual representation of large-scale collections of non-numerical information, such as files and lines of code in software systems, library and bibliographic databases, networks of relations on the internet, and so forth. In this document we avoid both the earliest, and most of the latest uses in this sense. | ||
Another present field, called scientific visualization, is also under-represented here, but for reasons of lack of expertise rather than interest. This area is primarily concerned with the visualization of 3-D+ phenomena (architectural, meterological, medical, biological, etc.), where the emphasis is on realistic renderings of volumes, surfaces, illumination sources, and so forth, perhaps with a dynamic (time) component. | Another present field, called scientific visualization, is also under-represented here, but for reasons of lack of expertise rather than interest. This area is primarily concerned with the visualization of 3-D+ phenomena (architectural, meterological, medical, biological, etc.), where the emphasis is on realistic renderings of volumes, surfaces, illumination sources, and so forth, perhaps with a dynamic (time) component. | ||
Revision as of 22:04, 7 June 2006
Data visualization is the process of using graphical presentation to represent complex data in a way that provides the viewer with a qualitative understanding of its information contents, turning complicated sets of data into visual insights.
[Bhargava, 2003]
... the science of visual representation of “data”, defined as information which has been abstracted in some schematic form, including attributes or variables for the units of information.
[Friendly and Denis, 2004]
Comparision between Information Visualization and Data Visualization
Information visualization is the broadest term that could be taken to subsume all the developments described here. At this level, almost anything, if sufficiently organized, is information of a sort. Tables, graphs, maps and even text, whether static or dynamic, provide some means to see what lies within, determine the answer to a question, find relations, and perhaps apprehend things which could not be seen so readily in other forms.
In this sense, information visualization takes us back to the earliest scratches of forms on rocks, to the development of pictoria as mnemonic devices in illuminated manuscripts, and to the earliest use of diagrams in the history of science and mathematics. But, as used today, the term information visualization is generally applied to the visual representation of large-scale collections of non-numerical information, such as files and lines of code in software systems, library and bibliographic databases, networks of relations on the internet, and so forth. In this document we avoid both the earliest, and most of the latest uses in this sense. Another present field, called scientific visualization, is also under-represented here, but for reasons of lack of expertise rather than interest. This area is primarily concerned with the visualization of 3-D+ phenomena (architectural, meterological, medical, biological, etc.), where the emphasis is on realistic renderings of volumes, surfaces, illumination sources, and so forth, perhaps with a dynamic (time) component.
Instead, we focus on the slightly narrower domain of data visualization, the science of visual representation of ``data, defined as information which has been abstracted in some schematic form, including attributes or variables for the units of information. This topic could be taken to subsume the two main focii: statistical graphics, and thematic cartography.[Friendly and Denis, 2004]
References
- [Bhargava, 2003]: Bharat Bhargava, Data Visualization Overview, 2003.
- [Friendly and Denis, 2004]: Michael Friendly and Daniel J. Denis, Milestones in the history of thematic cartography, statistical graphics, and data visualization, April 14, 2004. http://www.math.yorku.ca/SCS/Gallery/milestone/