2007-02-19: "Many Eyes": New web application for shared visualization and discovery by Martin Wattenberg et al.: Difference between revisions
Jump to navigation
Jump to search
No edit summary |
mNo edit summary |
||
| Line 1: | Line 1: | ||
[[Image:Manyeyes07logo.jpg|right|150px]] | [[Image:Manyeyes07logo.jpg|right|150px]] | ||
[http://services.alphaworks.ibm.com/manyeyes/app '''Many Eyes'''] is a brand new web application by a couple of well known researchers of the [http://domino.watson.ibm.com/cambridge/research.nsf/pages/cue.html?Open Collaborative User Experience] group at IBM: [[Wattenberg, Martin|Martin Wattenberg]], [[Viegas, Fernanda| Fernanda Viegas]], [[van Ham, Frank|Frank van Ham]], [[Kriss, Jesse|Jesse Kriss]], and [[McKeon, Matt|Matt McKeon]]. '''Many Eyes''' combines a data library where you can upload your own datasets or use data of others with an easy to use visualization toolkit that features 13 different visualization types: World map, US Map, Line graph, Stack graph, Stack Graph for Categories, Bar chart, Block histogram, Bubble chart, Scatterplot, Network Diagram, Pie chart, Treemap, Change Treemap. The created visualizations can be viewed and discussed by everyone. | [http://services.alphaworks.ibm.com/manyeyes/app '''Many Eyes'''] is a brand new web application by a couple of well known researchers of the [http://domino.watson.ibm.com/cambridge/research.nsf/pages/cue.html?Open Collaborative User Experience] group at IBM: [[Wattenberg, Martin|Martin Wattenberg]], [[Viegas, Fernanda| Fernanda Viegas]], [[van Ham, Frank|Frank van Ham]], [[Kriss, Jesse|Jesse Kriss]], and [[McKeon, Matt|Matt McKeon]]. '''Many Eyes''' combines a data library where you can upload your own datasets or use data of others with an easy to use visualization toolkit that features 13 different visualization types: World map, US Map, Line graph, Stack graph, Stack Graph for Categories, Bar chart, Block histogram, Bubble chart, Scatterplot, Network Diagram, Pie chart, Treemap, Change Treemap. The created visualizations can be viewed and discussed by everyone. | ||
| Line 7: | Line 5: | ||
{{Quotation|Many Eyes is a bet on the power of human visual intelligence to find patterns. Our goal is to "democratize" visualization and to enable a new social kind of data analysis. Jump right to our visualizations now, take a tour, or read on for a leisurely explanation of the project.<br><br>All of us in CUE's Visual Communication Lab are passionate about the potential of data visualization to spark insight. It is that magical moment we live for: an unwieldy, unyielding data set is transformed into an image on the screen, and suddenly the user can perceive an unexpected pattern. As visualization designers we have witnessed and experienced many of those wondrous sparks. But in recent years, we have become acutely aware that the visualizations and the sparks they generate, take on new value in a social setting. Visualization is a catalyst for discussion and collective insight about data.<br><br>We all deal with data that we'd like to understand better. It may be as straightforward as a sales spreadsheet or fantasy football stats chart, or as vague as a cluttered email inbox. But a remarkable amount of it has social meaning beyond ourselves. When we share it and discuss it, we understand it in new ways.|[Many Eyes, 2007]}} | {{Quotation|Many Eyes is a bet on the power of human visual intelligence to find patterns. Our goal is to "democratize" visualization and to enable a new social kind of data analysis. Jump right to our visualizations now, take a tour, or read on for a leisurely explanation of the project.<br><br>All of us in CUE's Visual Communication Lab are passionate about the potential of data visualization to spark insight. It is that magical moment we live for: an unwieldy, unyielding data set is transformed into an image on the screen, and suddenly the user can perceive an unexpected pattern. As visualization designers we have witnessed and experienced many of those wondrous sparks. But in recent years, we have become acutely aware that the visualizations and the sparks they generate, take on new value in a social setting. Visualization is a catalyst for discussion and collective insight about data.<br><br>We all deal with data that we'd like to understand better. It may be as straightforward as a sales spreadsheet or fantasy football stats chart, or as vague as a cluttered email inbox. But a remarkable amount of it has social meaning beyond ourselves. When we share it and discuss it, we understand it in new ways.|[Many Eyes, 2007]}} | ||
[[Image:Many-eyes07screenshot graph.gif|right|thumb|400px|Example of "Many Eyes" visualizaing social network data.]] | |||
Many Eyes URL: http://services.alphaworks.ibm.com/manyeyes/app | Many Eyes URL: http://services.alphaworks.ibm.com/manyeyes/app | ||
| Line 13: | Line 13: | ||
== Related Links: == | == Related Links: == | ||
[http://eagereyes.org/VisCrit/Swivel-vs-Many-Eyes.html Review: Swivel vs. Many Eyes] by [[Kosara, Robert|Robert Kosara]] | [http://eagereyes.org/VisCrit/Swivel-vs-Many-Eyes.html Review: Swivel vs. Many Eyes] by [[Kosara, Robert|Robert Kosara]] | ||
== References == | == References == | ||
Revision as of 15:37, 19 February 2007
Many Eyes is a brand new web application by a couple of well known researchers of the Collaborative User Experience group at IBM: Martin Wattenberg, Fernanda Viegas, Frank van Ham, Jesse Kriss, and Matt McKeon. Many Eyes combines a data library where you can upload your own datasets or use data of others with an easy to use visualization toolkit that features 13 different visualization types: World map, US Map, Line graph, Stack graph, Stack Graph for Categories, Bar chart, Block histogram, Bubble chart, Scatterplot, Network Diagram, Pie chart, Treemap, Change Treemap. The created visualizations can be viewed and discussed by everyone.
Many Eyes is a bet on the power of human visual intelligence to find patterns. Our goal is to "democratize" visualization and to enable a new social kind of data analysis. Jump right to our visualizations now, take a tour, or read on for a leisurely explanation of the project.
All of us in CUE's Visual Communication Lab are passionate about the potential of data visualization to spark insight. It is that magical moment we live for: an unwieldy, unyielding data set is transformed into an image on the screen, and suddenly the user can perceive an unexpected pattern. As visualization designers we have witnessed and experienced many of those wondrous sparks. But in recent years, we have become acutely aware that the visualizations and the sparks they generate, take on new value in a social setting. Visualization is a catalyst for discussion and collective insight about data.
We all deal with data that we'd like to understand better. It may be as straightforward as a sales spreadsheet or fantasy football stats chart, or as vague as a cluttered email inbox. But a remarkable amount of it has social meaning beyond ourselves. When we share it and discuss it, we understand it in new ways.
All of us in CUE's Visual Communication Lab are passionate about the potential of data visualization to spark insight. It is that magical moment we live for: an unwieldy, unyielding data set is transformed into an image on the screen, and suddenly the user can perceive an unexpected pattern. As visualization designers we have witnessed and experienced many of those wondrous sparks. But in recent years, we have become acutely aware that the visualizations and the sparks they generate, take on new value in a social setting. Visualization is a catalyst for discussion and collective insight about data.
We all deal with data that we'd like to understand better. It may be as straightforward as a sales spreadsheet or fantasy football stats chart, or as vague as a cluttered email inbox. But a remarkable amount of it has social meaning beyond ourselves. When we share it and discuss it, we understand it in new ways.
[Many Eyes, 2007]
Many Eyes URL: http://services.alphaworks.ibm.com/manyeyes/app
Related Links:
Review: Swivel vs. Many Eyes by Robert Kosara
References
[Many Eyes, 2007] Many Eyes, About Many Eyes, retrieved at: February 19, 2007. http://services.alphaworks.ibm.com/manyeyes/page/About_Many_Eyes.html