InfoVis:Wiki - User contributions [en]

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01 - Aufgabe 3

2009-01-14T22:48:03Z

UE-InfoVis0809 0427537:

== Aufgabenstellung ==
[http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/infovis_ue_aufgabe3.html Beschreibung der Aufgabe 3]

=== Zu beurteilende Grafik ===
[[Image:Sotpg1.jpg|600px]] 
CO2 Emissions

The corrections and critics on the graphic are based on the design principles of Few [2004].
===Critics on the Graph===

* Non-data ink is high and there is unnecessary data ink :
*# Shadowing and the 3-D visualization of the World Map, 3d visualization of the CO2 emissions and rising tides (sea level rise), these objects increase the non-data ink, thus decreasing the data-ink ratio.
*# 3-D CO2 Emission Bars block some of the regions which are supposed to convey important information. Thus decreasing or blocking the data-ink. (Especially the regions in black are blocked by these bars.)
*# The icon, which aims to emphasize regions of poverty, blocks important information and de-emphasizes the data-ink, although this icon doesn't convey a precise information.
*# The Bar diagram of Sea Level Rise is reducing the priority of other important data ink, and this information is seems to be an unnecessary data ink.
*# Consequently the real message or data is not supported in the Graph, which is against the task of visualizing quantitative information.

* The data is unorganized :
*# The essential message of the graph is not clear, CO2 emissions of Regions ? Heat the Poor ? or the rising sea levels ?
*# It is not clear which data has more priority.
*# The data is not sequenced, thus confusing the readers. In other words there is no direction for order in which data should be read.

* Scales,Plots and Texts :
*# The CO2 Emissions scale on the left side of the graph can't be taken as a reference, cause it is far away from the CO2 emission bars.
*# The negative axis of CO2 Emissions scale refers to nothing, since CO2 emissions can't have a negative value.
*# The Bar diagram which aims to show the relationship between time and sea level rise has an unclarity and this diagram stands in the graph as if it is as important as the other data ink. It is not written on the axes what they refer to. Does the y-axis represent rising sea levels ? and Does the x-axis refer to time in years ?, instead there is a text which is an unnecessary data ink.
*# It is not easy to guess what the graph is about, because of the missing clear titles and introduction. How should be the graph interpreted by readers ?
*# The sequence could have been clarified with some text, but in the following graph there is no sequence, therefore the current placements of the texts are not helping the readers to find an order in which data should be read.

===Corrections on the Graph ===

[[Image:Ex3.jpg|600px]]

===Changes on the Graph ===
* Reduction of non-data ink and Enhancement of data ink :
*# Shadowing and 3-D visualizations are removed, thus the non-data ink is reduced.
*# 3-D CO2 Emission Bars are removed, transformed into 2-D bars and placed at the uppermost segment of the graph, so that no data ink is blocked by any other data ink. Thus data ink is enhanced.
*# The icon for the regions of poverty is removed, replaced with a smaller one that it doesn't block other data ink anymore. Thus enhancing the data-ink.
*# Consequently the real message and additional information of the graph are clearly supported in the graph.

* Data organizing :
*# The data is reorganized by separating the graph into 3 parts.
*#* CO2 Emission plot with bars (uppermost part)
*#* Expected rise in temperature with respect to regions on the world map
*#* Sea Level Rise bar diagram
*# The essential message of the graph and additional information are clarified.
*#* Message of the graph : Co2 emissions related temperature risings won't effect the regions, where Co2 is highly emitted as much as the regions with widespread poverty.
*#* Additional information : Expected rise in temperature with respect to regions in order to show the essential message of the graph and rising sea levels threatening the coastal areas as an extra info.
*# The data is sequenced by separating the graph into 3 parts.

* Scales,Plots and Texts :
*# The CO2 Emissions scale on the left side of the graph is removed and a new one with only positive values is placed next to CO2 bars.
*# The Bar diagram of rising sea levels is transformed and simplified. The Text of this plot is replaced with a simple title. Thus enhancing the more important data ink and taking less attention.
*# The unnecessary text under the title Heat The Poor is replaced with a shorter one, thus introducing the graph to readers.

===References===

*[Few, 2004]:Stephen Few, Show Me the Numbers: Designing Tables and Graphs to Enlighten, Analytics Press, 2004, Chapter 7 - General Design for Communication.

== Links ==

* [[Teaching:TUW_-_UE_InfoVis_WS_2008/09|InfoVis:Wiki UE Homepage]]

* [http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/ UE InfoVis]

* [[Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01|Gruppe 01]]

File:Ex3.jpg

2009-01-14T22:45:50Z

UE-InfoVis0809 0427537: New page: == Summary == == Copyright status == == Source ==

== Summary ==

== Copyright status ==

== Source ==

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01 - Aufgabe 3

2009-01-06T14:35:24Z

UE-InfoVis0809 0427537:

== Aufgabenstellung ==
[http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/infovis_ue_aufgabe3.html Beschreibung der Aufgabe 3]

=== Zu beurteilende Grafik ===
[[Image:Sotpg1.jpg|600px]] 
CO2 Emissions

The corrections and critics on the graphic are based on the design principles of Few [2004].
===Critics on the Graph===

* Non-data ink is high and there is unnecessary data ink :
*# Shadowing and the 3-D visualization of the World Map, 3d visualization of the CO2 emissions and rising tides (sea level rise), these objects increase the non-data ink, thus decreasing the data-ink ratio.
*# 3-D CO2 Emission Bars block some of the regions which are supposed to convey important information. Thus decreasing or blocking the data-ink. (Especially the regions in black are blocked by these bars.)
*# The icon, which aims to emphasize regions of poverty, blocks important information and de-emphasizes the data-ink, although this icon doesn't convey a precise information.
*# The Bar diagram of Sea Level Rise is reducing the priority of other important data ink, and this information is seems to be an unnecessary data ink.
*# Consequently the real message or data is not supported in the Graph, which is against the task of visualizing quantitative information.

* The data is unorganized :
*# The essential message of the graph is not clear, CO2 emissions of Regions ? Heat the Poor ? or the rising sea levels ?
*# It is not clear which data has more priority.
*# The data is not sequenced, thus confusing the readers. In other words there is no direction for order in which data should be read.

* Scales,Plots and Texts :
*# The CO2 Emissions scale on the left side of the graph can't be taken as a reference, cause it is far away from the CO2 emission bars.
*# The negative axis of CO2 Emissions scale refers to nothing, since CO2 emissions can't have a negative value.
*# The Bar diagram which aims to show the relationship between time and sea level rise has an unclarity and this diagram stands in the graph as if it is as important as the other data ink. It is not written on the axes what they refer to. Does the y-axis represent rising sea levels ? and Does the x-axis refer to time in years ?, instead there is a text which is an unnecessary data ink.
*# It is not easy to guess what the graph is about, because of the missing clear titles and introduction. How should be the graph interpreted by readers ?
*# The sequence could have been clarified with some text, but in the following graph there is no sequence, therefore the current placements of the texts are not helping the readers to find an order in which data should be read.

===Corrections on the Graph ===

[[Image:Heat the poor1.GIF|600px]]

===Changes on the Graph ===
* Reduction of non-data ink and Enhancement of data ink :
*# Shadowing and 3-D visualizations are removed, thus the non-data ink is reduced.
*# 3-D CO2 Emission Bars are removed, transformed into 2-D bars and placed at the uppermost segment of the graph, so that no data ink is blocked by any other data ink. Thus data ink is enhanced.
*# The icon for the regions of poverty is removed, replaced with a smaller one that it doesn't block other data ink anymore. Thus enhancing the data-ink.
*# Consequently the real message and additional information of the graph are clearly supported in the graph.

* Data organizing :
*# The data is reorganized by separating the graph into 3 parts.
*#* CO2 Emission plot with bars (uppermost part)
*#* Expected rise in temperature with respect to regions on the world map
*#* Sea Level Rise bar diagram
*# The essential message of the graph and additional information are clarified.
*#* Message of the graph : Co2 emissions related temperature risings won't effect the regions, where Co2 is highly emitted as much as the regions with widespread poverty.
*#* Additional information : Expected rise in temperature with respect to regions in order to show the essential message of the graph and rising sea levels threatening the coastal areas as an extra info.
*# The data is sequenced by separating the graph into 3 parts.

* Scales,Plots and Texts :
*# The CO2 Emissions scale on the left side of the graph is removed and a new one with only positive values is placed next to CO2 bars.
*# The Bar diagram of rising sea levels is transformed and simplified. The Text of this plot is replaced with a simple title. Thus enhancing the more important data ink and taking less attention.
*# The unnecessary text under the title Heat The Poor is replaced with a shorter one, thus introducing the graph to readers.

===References===

*[Few, 2004]:Stephen Few, Show Me the Numbers: Designing Tables and Graphs to Enlighten, Analytics Press, 2004, Chapter 7 - General Design for Communication.

== Links ==

* [[Teaching:TUW_-_UE_InfoVis_WS_2008/09|InfoVis:Wiki UE Homepage]]

* [http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/ UE InfoVis]

* [[Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01|Gruppe 01]]

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01 - Aufgabe 3

2009-01-06T14:30:35Z

UE-InfoVis0809 0427537:

== Aufgabenstellung ==
[http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/infovis_ue_aufgabe3.html Beschreibung der Aufgabe 3]

=== Zu beurteilende Grafik ===
[[Image:Sotpg1.jpg|600px]] 
CO2 Emissions

The corrections and critics on the graphic are based on the design principles of Few [2004].
===Critics on the Graph===

* Non-data ink is high and there is unnecessary data ink :
*# Shadowing and the 3-D visualization of the World Map, 3d visualization of the CO2 emissions and rising tides, these objects increase the non-data ink, thus decreasing the data-ink ratio.
*# 3-D CO2 Emission Bars block some of the regions which are supposed to convey important information. Thus decreasing or blocking the data-ink. (Especially the regions in black are blocked by these bars.)
*# The icon, which aims to emphasize regions of poverty, blocks important information and de-emphasizes the data-ink, although this icon doesn't convey a precise information.
*# The Bar diagram of Rising Tides (Rising sea levels) is reducing the priority of other important data ink, and this information is seems to be an unnecessary data ink.
*# Consequently the real message or data is not supported in the Graph, which is against the task of visualizing quantitative information.

* The data is unorganized :
*# The essential message of the graph is not clear, CO2 emissions of Regions ? Heat the Poor ? or the rising sea levels ?
*# It is not clear which data has more priority.
*# The data is not sequenced, thus confusing the readers. In other words there is no direction for order in which data should be read.

* Scales,Plots and Texts :
*# The CO2 Emissions scale on the left side of the graph can't be taken as a reference, cause it is far away from the CO2 emission bars.
*# The negative axis of CO2 Emissions scale refers to nothing, since CO2 emissions can't have a negative value.
*# The Bar diagram which aims to show the relationship between time and rising sea levels has an unclarity and this diagram stands in the graph as if it is as important as the other data ink. It is not written on the axes what they refer to. Does the y-axis represent rising sea levels ? and Does the x-axis refer to time in years ?, instead there is a text which is an unnecessary data ink.
*# It is not easy to guess what the graph is about, because of the missing clear titles and introduction. How should be the graph interpreted by readers ?
*# The sequence could have been clarified with some text, but in the following graph there is no sequence, therefore the current placements of the texts are not helping the readers to find an order in which data should be read.

===Corrections on the Graph ===

[[Image:Heat the poor1.GIF|600px]]

===Changes on the Graph ===
* Reduction of non-data ink and Enhancement of data ink :
*# Shadowing and 3-D visualizations are removed, thus the non-data ink is reduced.
*# 3-D CO2 Emission Bars are removed, transformed into 2-D bars and placed at the uppermost segment of the graph, so that no data ink is blocked by any other data ink. Thus data ink is enhanced.
*# The icon for the regions of poverty is removed, replaced with a smaller one that it doesn't block other data ink anymore. Thus enhancing the data-ink.
*# Consequently the real message and additional information of the graph are clearly supported in the graph.

* Data organizing :
*# The data is reorganized by separating the graph into 3 parts.
*#* CO2 Emission plot with bars (uppermost part)
*#* Expected rise in temperature with respect to regions on the world map
*#* Rising sea levels bar diagram
*# The essential message of the graph and additional information are clarified.
*#* Message of the graph : Co2 emissions related temperature risings won't effect the regions, where Co2 is highly emitted as much as the regions with widespread poverty.
*#* Additional information : Expected rise in temperature with respect to regions in order to show the essential message of the graph and rising sea levels threatening the coastal areas as an extra info.
*# The data is sequenced by separating the graph into 3 parts.

* Scales,Plots and Texts :
*# The CO2 Emissions scale on the left side of the graph is removed and a new one with only positive values is placed next to CO2 bars.
*# The Bar diagram of rising sea levels is transformed and simplified. The Text of this plot is replaced with a simple title. Thus enhancing the more important data ink and taking less attention.
*# The unnecessary text under the title Heat The Poor is replaced with a shorter one, thus introducing the graph to readers.

===References===

*[Few, 2004]:Stephen Few, Show Me the Numbers: Designing Tables and Graphs to Enlighten, Analytics Press, 2004, Chapter 7 - General Design for Communication.

== Links ==

* [[Teaching:TUW_-_UE_InfoVis_WS_2008/09|InfoVis:Wiki UE Homepage]]

* [http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/ UE InfoVis]

* [[Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01|Gruppe 01]]

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01 - Aufgabe 3

2009-01-06T14:15:40Z

UE-InfoVis0809 0427537:

== Aufgabenstellung ==
[http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/infovis_ue_aufgabe3.html Beschreibung der Aufgabe 3]

=== Zu beurteilende Grafik ===
[[Image:Sotpg1.jpg|600px]] 
CO2 Emissions

The corrections and critics on the graphic are based on the design principles of Few [2004].
===Critics on the Graph===

* Non-data ink is high and there is unnecessary data ink :
*# Shadowing and the 3-D visualization of the World Map, 3d visualization of the CO2 emissions and rising tides, these objects increase the non-data ink, thus decreasing the data-ink ratio.
*# 3-D CO2 Emission Bars block some of the regions which are supposed to convey important information. Thus decreasing or blocking the data-ink. (Especially the regions in black are blocked by these bars.)
*# The icon, which aims to emphasize regions of poverty, blocks important information and de-emphasizes the data-ink, although this icon doesn't convey a precise information.
*# The Bar diagram of Rising Tides is reducing the priority of other important data ink, and this information is seems to be an unnecessary data ink.
*# Consequently the real message or data is not supported in the Graph, which is against the task of visualizing quantitative information.

* The data is unorganized :
*# The essential message of the graph is not clear, CO2 emissions of Regions ? Heat the Poor ? or the rising tides ?
*# It is not clear which data has more priority.
*# The data is not sequenced, thus confusing the readers. In other words there is no direction for order in which data should be read.

* Scales,Plots and Texts :
*# The CO2 Emissions scale on the left side of the graph can't be taken as a reference, cause it is far away from the CO2 emission bars.
*# The negative axis of CO2 Emissions scale refers to nothing, since CO2 emissions can't have a negative value.
*# The Bar diagram which aims to show the relationship between time and rising tides has an unclarity and this diagram stands in the graph as if it is as important as the other data ink. It is not written on the axes what they refer to. Does the y-axis represent rising sea levels ? and Does the x-axis refer to time in years ?, instead there is a text which is an unnecessary data ink.
*# It is not easy to guess what the graph is about, because of the missing clear titles and introduction. How should be the graph interpreted by readers ?
*# The sequence could have been clarified with some text, but in the following graph there is no sequence, therefore the current placements of the texts are not helping the readers to find an order in which data should be read.

===Corrections on the Graph ===

[[Image:Heat the poor1.GIF|600px]]

===Changes on the Graph ===
* Reduction of non-data ink and Enhancement of data ink :
*# Shadowing and 3-D visualizations are removed, thus the non-data ink is reduced.
*# 3-D CO2 Emission Bars are removed, transformed into 2-D bars and placed at the uppermost segment of the graph, so that no data ink is blocked by any other data ink. Thus data ink is enhanced.
*# The icon for the regions of poverty is removed, replaced with a smaller one that it doesn't block other data ink anymore. Thus enhancing the data-ink.
*# Consequently the real message and additional information of the graph are clearly supported in the graph.

* Data organizing :
*# The data is reorganized by separating the graph into 3 parts.
*#* CO2 Emission plot with bars (uppermost part)
*#* Expected rise in temperature with respect to regions on the world map
*#* Rising tides bar diagram
*# The essential message of the graph and additional information are clarified.
*#* Message of the graph : Co2 emissions related temperature risings won't effect the regions, where Co2 is highly emitted as much as the regions with widespread poverty.
*#* Additional information : Expected rise in temperature with respect to regions in order to show the essential message of the graph and Rising tides threatening the coastal areas as an extra info.
*# The data is sequenced by separating the graph into 3 parts.

* Scales,Plots and Texts :
*# The CO2 Emissions scale on the left side of the graph is removed and a new one with only positive values is placed next to CO2 bars.
*# The Bar diagram of Rising Tides is transformed and simplified. The Text of this plot is replaced with a simple title. Thus enhancing the more important data ink and taking less attention.
*# The unnecessary text under the title Heat The Poor is replaced with a shorter one, thus introducing the graph to readers.

===References===

*[Few, 2004]:Stephen Few, Show Me the Numbers: Designing Tables and Graphs to Enlighten, Analytics Press, 2004, Chapter 7 - General Design for Communication.

== Links ==

* [[Teaching:TUW_-_UE_InfoVis_WS_2008/09|InfoVis:Wiki UE Homepage]]

* [http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/ UE InfoVis]

* [[Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01|Gruppe 01]]

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01 - Aufgabe 3

2009-01-06T14:13:42Z

UE-InfoVis0809 0427537:

== Aufgabenstellung ==
[http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/infovis_ue_aufgabe3.html Beschreibung der Aufgabe 3]

=== Zu beurteilende Grafik ===
[[Image:Sotpg1.jpg|600px]] 
CO2 Emissions

The corrections and critics on the graphic are based on the design principles of Few [2004].
===Critics on the Graph===

* Non-data ink is high and there is unnecessary data ink :
*# Shadowing and the 3-D visualization of the World Map, 3d visualization of the CO2 emissions and rising tides, these objects increase the non-data ink, thus decreasing the data-ink ratio.
*# 3-D CO2 Emission Bars block some of the regions which are supposed to convey important information. Thus decreasing or blocking the data-ink. (Especially the regions in black are blocked by these bars.)
*# The icon, which aims to emphasize regions of poverty, blocks important information and de-emphasizes the data-ink, although this icon doesn't convey a precise information.
*# The Bar diagram of Rising Tides is reducing the priority of other important data ink, and this information is seems to be an unnecessary data ink.
*# Consequently the real message or data is not supported in the Graph, which is against the task of visualizing quantitative information.

* The data is unorganized :
*# The essential message of the graph is not clear, CO2 emissions of Regions ? Heat the Poor ? or the rising tides ?
*# It is not clear which data has more priority.
*# The data is not sequenced, thus confusing the readers. In other words there is no direction for order in which data should be read.

* Scales,Plots and Texts :
*# The CO2 Emissions scale on the left side of the graph can't be taken as a reference, cause it is far away from the CO2 emission bars.
*# The negative axis of CO2 Emissions scale refers to nothing, since CO2 emissions can't have a negative value.
*# The Bar diagram which aims to show the relationship between time and rising tides has an unclarity and this diagram stands in the graph as if it is as important as the other data ink. It is not written on the axes what they refer to. Does the x-axis represent rising sea levels ? and Does the y-axis refer to time in years ?, instead there is a text which is an unnecessary data ink.
*# It is not easy to guess what the graph is about, because of the missing clear titles and introduction. How should be the graph interpreted by readers ?
*# The sequence could have been clarified with some text, but in the following graph there is no sequence, therefore the current placements of the texts are not helping the readers to find an order in which data should be read.

===Corrections on the Graph ===

[[Image:Heat the poor1.GIF|600px]]

===Changes on the Graph ===
* Reduction of non-data ink and Enhancement of data ink :
*# Shadowing and 3-D visualizations are removed, thus the non-data ink is reduced.
*# 3-D CO2 Emission Bars are removed, transformed into 2-D bars and placed at the uppermost segment of the graph, so that no data ink is blocked by any other data ink. Thus data ink is enhanced.
*# The icon for the regions of poverty is removed, replaced with a smaller one that it doesn't block other data ink anymore. Thus enhancing the data-ink.
*# Consequently the real message and additional information of the graph are clearly supported in the graph.

* Data organizing :
*# The data is reorganized by separating the graph into 3 parts.
*#* CO2 Emission plot with bars (uppermost part)
*#* Expected rise in temperature with respect to regions on the world map
*#* Rising tides bar diagram
*# The essential message of the graph and additional information are clarified.
*#* Message of the graph : Co2 emissions related temperature risings won't effect the regions, where Co2 is highly emitted as much as the regions with widespread poverty.
*#* Additional information : Expected rise in temperature with respect to regions in order to show the essential message of the graph and Rising tides threatening the coastal areas as an extra info.
*# The data is sequenced by separating the graph into 3 parts.

* Scales,Plots and Texts :
*# The CO2 Emissions scale on the left side of the graph is removed and a new one with only positive values is placed next to CO2 bars.
*# The Bar diagram of Rising Tides is transformed and simplified. The Text of this plot is replaced with a simple title. Thus enhancing the more important data ink and taking less attention.
*# The unnecessary text under the title Heat The Poor is replaced with a shorter one, thus introducing the graph to readers.

===References===

*[Few, 2004]:Stephen Few, Show Me the Numbers: Designing Tables and Graphs to Enlighten, Analytics Press, 2004, Chapter 7 - General Design for Communication.

== Links ==

* [[Teaching:TUW_-_UE_InfoVis_WS_2008/09|InfoVis:Wiki UE Homepage]]

* [http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/ UE InfoVis]

* [[Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01|Gruppe 01]]

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01 - Aufgabe 3

2009-01-06T14:12:54Z

UE-InfoVis0809 0427537:

== Aufgabenstellung ==
[http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/infovis_ue_aufgabe3.html Beschreibung der Aufgabe 3]

=== Zu beurteilende Grafik ===
[[Image:Sotpg1.jpg|600px]] 
CO2 Emissions

The corrections and critics on the graphic are based on the design principles of Few [2004].
===Critics on the Graph===

* Non-data ink is high and there is unnecessary data ink :
*# Shadowing and the 3-D visualization of the World Map, 3d visualization of the CO2 emissions and rising tides, these objects increase the non-data ink, thus decreasing the data-ink ratio.
*# 3-D CO2 Emission Bars block some of the regions which are supposed to convey important information. Thus decreasing or blocking the data-ink. (Especially the regions in black are blocked by these bars.)
*# The icon, which aims to emphasize regions of poverty, blocks important information and de-emphasizes the data-ink, although this icon doesn't convey a precise information.
*# The Bar diagram of Rising Tides is reducing the priority of other important data ink, and this information is seems to be an unnecessary data ink.
*# Consequently the real message or data is not supported in the Graph, which is against the task of visualizing quantitative information.

* The data is unorganized :
*# The essential message of the graph is not clear, CO2 emissions of Regions ? Heat the Poor ? or the rising tides ?
*# It is not clear which data has more priority.
*# The data is not sequenced, thus confusing the readers. In other words there is no direction for order in which data should be read.

* Scales,Plots and Texts :
*# The CO2 Emissions scale on the left side of the graph can't be taken as a reference, cause it is far away from the CO2 emission bars.
*# The negative axis of CO2 Emissions scale refers to nothing, since CO2 emissions can't have a negative value.
*# The Bar diagram which aims to show the relationship between time and rising tides has an unclarity and this diagram stands in the graph as if it is as important as the other data ink. It is not written on the axes what they refer to. Does the x-axis represent rising sea levels in centimeters ? and Does the y-axis refer to time in years ?, instead there is a text which is an unnecessary data ink.
*# It is not easy to guess what the graph is about, because of the missing clear titles and introduction. How should be the graph interpreted by readers ?
*# The sequence could have been clarified with some text, but in the following graph there is no sequence, therefore the current placements of the texts are not helping the readers to find an order in which data should be read.

===Corrections on the Graph ===

[[Image:Heat the poor1.GIF|600px]]

===Changes on the Graph ===
* Reduction of non-data ink and Enhancement of data ink :
*# Shadowing and 3-D visualizations are removed, thus the non-data ink is reduced.
*# 3-D CO2 Emission Bars are removed, transformed into 2-D bars and placed at the uppermost segment of the graph, so that no data ink is blocked by any other data ink. Thus data ink is enhanced.
*# The icon for the regions of poverty is removed, replaced with a smaller one that it doesn't block other data ink anymore. Thus enhancing the data-ink.
*# Consequently the real message and additional information of the graph are clearly supported in the graph.

* Data organizing :
*# The data is reorganized by separating the graph into 3 parts.
*#* CO2 Emission plot with bars (uppermost part)
*#* Expected rise in temperature with respect to regions on the world map
*#* Rising tides bar diagram
*# The essential message of the graph and additional information are clarified.
*#* Message of the graph : Co2 emissions related temperature risings won't effect the regions, where Co2 is highly emitted as much as the regions with widespread poverty.
*#* Additional information : Expected rise in temperature with respect to regions in order to show the essential message of the graph and Rising tides threatening the coastal areas as an extra info.
*# The data is sequenced by separating the graph into 3 parts.

* Scales,Plots and Texts :
*# The CO2 Emissions scale on the left side of the graph is removed and a new one with only positive values is placed next to CO2 bars.
*# The Bar diagram of Rising Tides is transformed and simplified. The Text of this plot is replaced with a simple title. Thus enhancing the more important data ink and taking less attention.
*# The unnecessary text under the title Heat The Poor is replaced with a shorter one, thus introducing the graph to readers.

===References===

*[Few, 2004]:Stephen Few, Show Me the Numbers: Designing Tables and Graphs to Enlighten, Analytics Press, 2004, Chapter 7 - General Design for Communication.

== Links ==

* [[Teaching:TUW_-_UE_InfoVis_WS_2008/09|InfoVis:Wiki UE Homepage]]

* [http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/ UE InfoVis]

* [[Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01|Gruppe 01]]

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01 - Aufgabe 3

2009-01-06T14:07:21Z

UE-InfoVis0809 0427537:

== Aufgabenstellung ==
[http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/infovis_ue_aufgabe3.html Beschreibung der Aufgabe 3]

=== Zu beurteilende Grafik ===
[[Image:Sotpg1.jpg|600px]] 
CO2 Emissions

The corrections and critics on the graphic are based on the design principles of Few [2004].
===Critics on the Graph===

* Non-data ink is high and there is unnecessary data ink :
*# Shadowing and the 3-D visualization of the World Map, 3d visualization of the CO2 emissions and rising tides, these objects increase the non-data ink, thus decreasing the data-ink ratio.
*# 3-D CO2 Emission Bars block some of the regions which are supposed to convey important information. Thus decreasing or blocking the data-ink. (Especially the regions in black are blocked by these bars.)
*# The icon, which aims to emphasize regions of poverty, blocks important information and de-emphasizes the data-ink, although this icon doesn't convey a precise information.
*# The 3-D Scatter plot of Rising Tides is reducing the priority of other important data ink, and this information is seems to be an unnecessary data ink.
*# Consequently the real message or data is not supported in the Graph, which is against the task of visualizing quantitative information.

* The data is unorganized :
*# The essential message of the graph is not clear, CO2 emissions of Regions ? Heat the Poor ? or the rising tides ?
*# It is not clear which data has more priority.
*# The data is not sequenced, thus confusing the readers. In other words there is no direction for order in which data should be read.

* Scales,Plots and Texts :
*# The CO2 Emissions scale on the left side of the graph can't be taken as a reference, cause it is far away from the CO2 emission bars.
*# The negative axis of CO2 Emissions scale refers to nothing, since CO2 emissions can't have a negative value.
*# The Bar diagram which aims to show the relationship between time and rising tides has an unclarity and this diagram stands in the graph as if it is as important as the other data ink. It is not written on the axes what they refer to. Does the x-axis represent rising sea levels in centimeters ? and Does the y-axis refer to time in years ?, instead there is a text which is an unnecessary data ink.
*# It is not easy to guess what the graph is about, because of the missing clear titles and introduction. How should be the graph interpreted by readers ?
*# The sequence could have been clarified with some text, but in the following graph there is no sequence, therefore the current placements of the texts are not helping the readers to find an order in which data should be read.

===Corrections on the Graph ===

[[Image:Heat the poor1.GIF|600px]]

===Changes on the Graph ===
* Reduction of non-data ink and Enhancement of data ink :
*# Shadowing and 3-D visualizations are removed, thus the non-data ink is reduced.
*# 3-D CO2 Emission Bars are removed, transformed into 2-D bars and placed at the uppermost segment of the graph, so that no data ink is blocked by any other data ink. Thus data ink is enhanced.
*# The icon for the regions of poverty is removed, replaced with a smaller one that it doesn't block other data ink anymore. Thus enhancing the data-ink.
*# Consequently the real message and additional information of the graph are clearly supported in the graph.

* Data organizing :
*# The data is reorganized by separating the graph into 3 parts.
*#* CO2 Emission plot with bars (uppermost part)
*#* Expected rise in temperature with respect to regions on the world map
*#* Rising tides bar diagram
*# The essential message of the graph and additional information are clarified.
*#* Message of the graph : Co2 emissions related temperature risings won't effect the regions where Co2 comes from as much as the regions with widespread poverty.
*#* Additional information : Expected rise in temperature with respect to regions in order to show the essential message of the graph and Rising tides threatening the coastal areas as an extra info.
*# The data is sequenced by separating the graph into 3 parts.

* Scales,Plots and Texts :
*# The CO2 Emissions scale on the left side of the graph is removed and a new one with only positive values is placed next to CO2 bars.
*# The Bar diagram of Rising Tides is transformed and simplified. The Text of this plot is replaced with a simple title. Thus enhancing the more important data ink and taking less attention.
*# The unnecessary text under the title Heat The Poor is replaced with a shorter one, thus introducing the graph to readers.

===References===

*[Few, 2004]:Stephen Few, Show Me the Numbers: Designing Tables and Graphs to Enlighten, Analytics Press, 2004, Chapter 7 - General Design for Communication.

== Links ==

* [[Teaching:TUW_-_UE_InfoVis_WS_2008/09|InfoVis:Wiki UE Homepage]]

* [http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/ UE InfoVis]

* [[Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01|Gruppe 01]]

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01 - Aufgabe 3

2009-01-06T14:05:25Z

UE-InfoVis0809 0427537:

== Aufgabenstellung ==
[http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/infovis_ue_aufgabe3.html Beschreibung der Aufgabe 3]

=== Zu beurteilende Grafik ===
[[Image:Sotpg1.jpg|600px]] 
CO2 Emissions

The corrections and critics on the graphic are based on the design principles of Few [2004].
===Critics on the Graph===

* Non-data ink is high and there is unnecessary data ink :
*# Shadowing and the 3-D visualization of the World Map, 3d visualization of the CO2 emissions and rising tides, these objects increase the non-data ink, thus decreasing the data-ink ratio.
*# 3-D CO2 Emission Bars block some of the regions which are supposed to convey important information. Thus decreasing or blocking the data-ink. (Especially the regions in black are blocked by these bars.)
*# The icon, which aims to emphasize regions of poverty, blocks important information and de-emphasizes the data-ink, although this icon doesn't convey a precise information.
*# The 3-D Scatter plot of Rising Tides is reducing the priority of other important data ink, and this information is seems to be an unnecessary data ink.
*# Consequently the real message or data is not supported in the Graph, which is against the task of visualizing quantitative information.

* The data is unorganized :
*# The essential message of the graph is not clear, CO2 emissions of Regions ? Heat the Poor ? or the rising tides ?
*# It is not clear which data has more priority.
*# The data is not sequenced, thus confusing the readers. In other words there is no direction for order in which data should be read.

* Scales,Plots and Texts :
*# The CO2 Emissions scale on the left side of the graph can't be taken as a reference, cause it is far away from the CO2 emission bars.
*# The negative axis of CO2 Emissions scale refers to nothing, since CO2 emissions can't have a negative value.
*# The Bar diagram which aims to show the relationship between time and rising tides has an unclarity and this diagram stands in the graph as if it is as important as the other data ink. It is not written on the axes what they refer to. Does the x-axis represent rising sea levels in centimeters ? and Does the y-axis refer to time in years ?, instead there is a text which is an unnecessary data ink.
*# It is not easy to guess what the graph is about, because of the missing clear titles and introduction. How should be the graph interpreted by readers ?
*# The sequence could have been clarified with some text, but in the following graph there is no sequence, therefore the current placements of the texts are not helping the readers to find an order in which data should be read.

===Corrections on the Graph ===

[[Image:Heat the poor1.GIF|600px]]

===Changes on the Graph ===
* Reduction of non-data ink and Enhancement of data ink :
*# Shadowing and 3-D visualizations are removed, thus the non-data ink is reduced.
*# 3-D CO2 Emission Bars are removed, transformed into 2-D bars and placed at the uppermost segment of the graph, so that no data ink is blocked by any other data ink. Thus data ink is enhanced.
*# The icon for the regions of poverty is removed, replaced with a smaller one that it doesn't block other data ink anymore. Thus enhancing the data-ink.
*# Consequently the real message and additional information of the graph are clearly supported in the graph.

* Data organizing :
*# The data is reorganized by separating the graph into 3 parts.
*#* CO2 Emission plot with bars (uppermost part)
*#* Expected rise in temperature with respect to regions on the world map
*#* Rising tides plot
*# The essential message of the graph and additional information are clarified.
*#* Message of the graph : Co2 emissions related temperature risings won't effect the regions where Co2 comes from as much as the regions with widespread poverty.
*#* Additional information : Expected rise in temperature with respect to regions in order to show the essential message of the graph and Rising tides threatening the coastal areas as an extra info.
*# The data is sequenced by separating the graph into 3 parts.

* Scales,Plots and Texts :
*# The CO2 Emissions scale on the left side of the graph is removed and a new one with only positive values is placed next to CO2 bars.
*# The Bar diagram of Rising Tides is transformed and simplified. The Text of this plot is replaced with a simple title. Thus enhancing the more important data ink and taking less attention.
*# The unnecessary text under the title Heat The Poor is replaced with a shorter one, thus introducing the graph to readers.

===References===

*[Few, 2004]:Stephen Few, Show Me the Numbers: Designing Tables and Graphs to Enlighten, Analytics Press, 2004, Chapter 7 - General Design for Communication.

== Links ==

* [[Teaching:TUW_-_UE_InfoVis_WS_2008/09|InfoVis:Wiki UE Homepage]]

* [http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/ UE InfoVis]

* [[Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01|Gruppe 01]]

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01 - Aufgabe 3

2009-01-06T14:03:58Z

UE-InfoVis0809 0427537:

== Aufgabenstellung ==
[http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/infovis_ue_aufgabe3.html Beschreibung der Aufgabe 3]

=== Zu beurteilende Grafik ===
[[Image:Sotpg1.jpg|600px]] 
CO2 Emissions

The corrections and critics on the graphic are based on the design principles of Few [2004].
===Critics on the Graph===

* Non-data ink is high and there is unnecessary data ink :
*# Shadowing and the 3-D visualization of the World Map, 3d visualization of the CO2 emissions and rising tides, these objects increase the non-data ink, thus decreasing the data-ink ratio.
*# 3-D CO2 Emission Bars block some of the regions which are supposed to convey important information. Thus decreasing or blocking the data-ink. (Especially the regions in black are blocked by these bars.)
*# The icon, which aims to emphasize regions of poverty, blocks important information and de-emphasizes the data-ink, although this icon doesn't convey a precise information.
*# The 3-D Scatter plot of Rising Tides is reducing the priority of other important data ink, and this information is seems to be an unnecessary data ink.
*# Consequently the real message or data is not supported in the Graph, which is against the task of visualizing quantitative information.

* The data is unorganized :
*# The essential message of the graph is not clear, CO2 emissions of Regions ? Heat the Poor ? or the rising tides ?
*# It is not clear which data has more priority.
*# The data is not sequenced, thus confusing the readers. In other words there is no direction for order in which data should be read.

* Scales,Plots and Texts :
*# The CO2 Emissions scale on the left side of the graph can't be taken as a reference, cause it is far away from the CO2 emission bars.
*# The negative axis of CO2 Emissions scale refers to nothing, since CO2 emissions can't have a negative value.
*# The 3-D Scatter plot which aims plotting the relationship between time and rising tides has an unclarity and this plot stands in the graph as if it is as important as the other data ink. It is not written on the axes what they refer to. Does the x-axis represent rising sea levels in centimeters ? and Does the y-axis refer to time in years ?, instead there is a text which is an unnecessary data ink.
*# It is not easy to guess what the graph is about, because of the missing clear titles and introduction. How should be the graph interpreted by readers ?
*# The sequence could have been clarified with some text, but in the following graph there is no sequence, therefore the current placements of the texts are not helping the readers to find an order in which data should be read.

===Corrections on the Graph ===

[[Image:Heat the poor1.GIF|600px]]

===Changes on the Graph ===
* Reduction of non-data ink and Enhancement of data ink :
*# Shadowing and 3-D visualizations are removed, thus the non-data ink is reduced.
*# 3-D CO2 Emission Bars are removed, transformed into 2-D bars and placed at the uppermost segment of the graph, so that no data ink is blocked by any other data ink. Thus data ink is enhanced.
*# The icon for the regions of poverty is removed, replaced with a smaller one that it doesn't block other data ink anymore. Thus enhancing the data-ink.
*# Consequently the real message and additional information of the graph are clearly supported in the graph.

* Data organizing :
*# The data is reorganized by separating the graph into 3 parts.
*#* CO2 Emission plot with bars (uppermost part)
*#* Expected rise in temperature with respect to regions on the world map
*#* Rising tides plot
*# The essential message of the graph and additional information are clarified.
*#* Message of the graph : Co2 emissions related temperature risings won't effect the regions where Co2 comes from as much as the regions with widespread poverty.
*#* Additional information : Expected rise in temperature with respect to regions in order to show the essential message of the graph and Rising tides threatening the coastal areas as an extra info.
*# The data is sequenced by separating the graph into 3 parts.

* Scales,Plots and Texts :
*# The CO2 Emissions scale on the left side of the graph is removed and a new one with only positive values is placed next to CO2 bars.
*# The Bar diagram of Rising Tides is transformed and simplified. The Text of this plot is replaced with a simple title. Thus enhancing the more important data ink and taking less attention.
*# The unnecessary text under the title Heat The Poor is replaced with a shorter one, thus introducing the graph to readers.

===References===

*[Few, 2004]:Stephen Few, Show Me the Numbers: Designing Tables and Graphs to Enlighten, Analytics Press, 2004, Chapter 7 - General Design for Communication.

== Links ==

* [[Teaching:TUW_-_UE_InfoVis_WS_2008/09|InfoVis:Wiki UE Homepage]]

* [http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/ UE InfoVis]

* [[Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01|Gruppe 01]]

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01 - Aufgabe 4

2009-01-06T12:12:44Z

UE-InfoVis0809 0427537:

== Aufgabenstellung ==
[http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/infovis_ue_aufgabe4.html Beschreibung der Aufgabe 4]

=== Gegebene Daten ===

'''Homer Simpson's Trinkverhalten in Abhängigkeit von seinen Lebensumständen''' 

...Visualisierung von Homer's Lebensabschnitten bzw. Ereignissen mit Einfluss auf sein
Trinkverhalten (zB.: Kindheit, Pubertät, Arbeitslosigkeit, Beziehungen, Hochzeit, Geburt
der Kinder, Liebeskummer, Alltag, etc.) von seiner Geburt bis Jetzt + mögliche
Zukunftsszenarien (mind. 3).
 
*Die Menge folgender Getränke soll für die jeweiligen Lebensumstände ablesbar sein
(ml oder Liter - je nachdem - pro Tag, Monat, Jahr (z.B.: Fokus+Kontext Methoden):
a) Wasser 
b) Milch 
c) Fruchtsaft 
d) Cola 
e) Kaffee (Würfelzucker?) 
f) Bier
(vereinfacht angenommen, Homer trinkt ausschließlich diese Getränke)
 
*Die folgenden Werte sollen abhängig von den konsumierten Getränken ablesbar sein:
1) g oder kg konsumierter Zucker (aus Getränken) + empfohlene Maximaldosis pro Tag, Monat, Jahr
(empfohlene Maximaldosis/Tag: 50g; enthaltener Zucker: 10g/100 ml Cola; 10g/100 ml Fruchtsaft; 3g/Würfelzucker). 
2) mg konsumiertes Coffein + empfohlene Maximaldosis pro Tag, Monat, Jahr
(empfohlene Maximaldosis/Tag: 600mg; enthaltenes Coffein: 10 mg/100 ml Cola; 80 mg/100 ml Kaffee). 
3) g konsumierter Alkohol + empfohlene Maximaldosis pro Tag, Monat, Jahr
(empfohlene Maximaldosis/Tag: 20g; enthaltener Alkohol: 3,6 g/100ml Bier)
 
*Die Daten sollen zur medizinischen/psychologischen Analyse visualisiert werden. 
*Die bisher erlernten Design-Prinzipien sollen umgesetzt werden (z.B.: Optimierung der Data-ink ratio). 
*Die Mockups sollten zumindest 1) Homer's Leben im Überblick 2) und eine Detailansicht wiedergeben. 
*Alle nicht angeführten Daten können frei erfunden werden.

==Description of the application area, data, users and goals ==
=== Application area ===
The data shown in the following parts of this work descripe medical data(health and psycholocical) of a single person. Our visualisition should show how the drinking behaviour is inflecting homers life. Because it should be used for a medical analysis it must be precise on the one side (for doctors, experts, ...) and easy to understand on the other side (sick persons). It determines not only the behaviour all over his lifetime but also shows us some special events in his life (childhood, adolescence, unemployment, connections, marriage, Birth of his children, lovesickness, allday, ...). With this special events visualized medical experts can find out why homer has his drinking problem.

=== Data ===
For the visualisation of this different effects of drinks in all life circumstances we are displaying the ingredients of them. The three ingredients we check are:

*sugar
maximum dosage per day : 50 g
description: Excessive consumption of sugar has been associated with increased incidences of type 2 diabetes, obesity and tooth decay.
further informations: http://en.wikipedia.org/wiki/Sugar

*Coffeine
maximum dosage per day : 600 mg
description: Caffeine is a bitter white crystalline xanthine that acts as a psychoactive stimulant drug and a mild diuretic in humans and other animals.
further informations: http://en.wikipedia.org/wiki/Coffein

*Alcohol
maximum dosage per day : 20 g
description: Alcohol intoxication affects the brain, causing slurred speech, clumsiness, and delayed reflexes (drunkenness). Chronic effects include effects of in the liver, brain and addiction.
further informations: http://en.wikipedia.org/wiki/Alcohol
further informations: http://en.wikipedia.org/wiki/Alcoholic_beverage

They are in the six drinks we are checking as followed:

[[Image:Indi1.jpg]]

Ingredients in g/100 ml, sugar added extra to coffee (*).

The maximum dosage of them are:

* sugar: 50 g
* coffeine: 600 mg
* alcohol: 20 g

=== Users ===
* Homer Simpson
* Moe
* Medical experts
* Psychologist

Users of our application should be Homer Simpson on the one side (with it he can see how problems in his life affect his alcohol consum) and on the other side our visualisation should me used by medical experts and psychologist to help him solve this problems.

=== Goals ===
Our Visualisation should show the drinking behaviour in homers life with some special points (problems). Further it will show us the maximum consument values per day for the descripted ingredients and how homer crosses this line.

== Concept ==

== Links ==

* [[Teaching:TUW_-_UE_InfoVis_WS_2008/09|InfoVis:Wiki UE Homepage]]

* [http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/ UE InfoVis]

*[[Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01|Gruppe 01]]

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01 - Aufgabe 3

2008-12-09T21:35:02Z

UE-InfoVis0809 0427537:

== Aufgabenstellung ==
[http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/infovis_ue_aufgabe3.html Beschreibung der Aufgabe 3]

=== Zu beurteilende Grafik ===
[[Image:Sotpg1.jpg|600px]] 
CO2 Emissions

The corrections and critics on the graphic are based on the design principles of Few [2004].
===Critics on the Graph===

* Non-data ink is high and there is unnecessary data ink :
*# Shadowing and the 3-D visualization of the World Map, 3d visualization of the CO2 emissions and rising tides, these objects increase the non-data ink, thus decreasing the data-ink ratio.
*# 3-D CO2 Emission Bars block some of the regions which are supposed to convey important information. Thus decreasing or blocking the data-ink. (Especially the regions in black are blocked by these bars.)
*# The icon, which aims to emphasize regions of poverty, blocks important information and de-emphasizes the data-ink, although this icon doesn't convey a precise information.
*# The 3-D Scatter plot of Rising Tides is reducing the priority of other important data ink, and this information is seems to be an unnecessary data ink.
*# Consequently the real message or data is not supported in the Graph, which is against the task of visualizing quantitative information.

* The data is unorganized :
*# The essential message of the graph is not clear, CO2 emissions of Regions ? Heat the Poor ? or the rising tides ?
*# It is not clear which data has more priority.
*# The data is not sequenced, thus confusing the readers. In other words there is no direction for order in which data should be read.

* Scales,Plots and Texts :
*# The CO2 Emissions scale on the left side of the graph can't be taken as a reference, cause it is far away from the CO2 emission bars.
*# The negative axis of CO2 Emissions scale refers to nothing, since CO2 emissions can't have a negative value.
*# The 3-D Scatter plot which aims plotting the relationship between time and rising tides has an unclarity and this plot stands in the graph as if it is as important as the other data ink. It is not written on the axes what they refer to. Does the x-axis represent rising sea levels in centimeters ? and Does the y-axis refer to time in years ?, instead there is a text which is an unnecessary data ink.
*# It is not easy to guess what the graph is about, because of the missing clear titles and introduction. How should be the graph interpreted by readers ?
*# The sequence could have been clarified with some text, but in the following graph there is no sequence, therefore the current placements of the texts are not helping the readers to find an order in which data should be read.

===Corrections on the Graph ===

[[Image:Heat the poor1.GIF|600px]]

* Reduction of non-data ink and Enhancement of data ink :
*# Shadowing and 3-D visualizations are removed, thus the non-data ink is reduced.
*# 3-D CO2 Emission Bars are removed, transformed into 2-D bars and placed at the uppermost segment of the graph, so that no data ink is blocked by any other data ink. Thus data ink is enhanced.
*# The icon for the regions of poverty is removed, replaced with a smaller one that it doesn't block other data ink anymore. Thus enhancing the data-ink.
*# Consequently the real message and additional information of the graph are clearly supported in the graph.

* Data organizing :
*# The data is reorganized by separating the graph into 3 parts.
*#* CO2 Emission plot with bars (uppermost part)
*#* Expected rise in temperature with respect to regions on the world map
*#* Rising tides plot
*# The essential message of the graph and additional information are clarified.
*#* Message of the graph : Co2 emissions related temperature risings won't effect the regions where Co2 comes from as much as the regions with widespread poverty.
*#* Additional information : Expected rise in temperature with respect to regions in order to show the essential message of the graph and Rising tides threatening the coastal areas as an extra info.
*# The data is sequenced by separating the graph into 3 parts.

* Scales,Plots and Texts :
*# The CO2 Emissions scale on the left side of the graph is removed and a new one with only positive values is placed next to CO2 bars.
*# The 3-D scatter plot of Rising Tides is transformed and simplified. The Text of this plot is replaced with a simple title. Thus enhancing the more important data ink and taking less attention.
*# The unnecessary text under the title Heat The Poor is replaced with a shorter one, thus introducing the graph to readers.

===References===

*[Few, 2004]:Stephen Few, Show Me the Numbers: Designing Tables and Graphs to Enlighten, Analytics Press, 2004, Chapter 7 - General Design for Communication.

== Links ==

* [[Teaching:TUW_-_UE_InfoVis_WS_2008/09|InfoVis:Wiki UE Homepage]]

* [http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/ UE InfoVis]

* [[Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01|Gruppe 01]]

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01 - Aufgabe 3

2008-12-09T21:34:15Z

UE-InfoVis0809 0427537:

== Aufgabenstellung ==
[http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/infovis_ue_aufgabe3.html Beschreibung der Aufgabe 3]

=== Zu beurteilende Grafik ===
[[Image:Sotpg1.jpg|600px]] 
CO2 Emissions

The corrections and critics on the graphic are based on the design principles of Few [2004].
===Critics on the Graph===

* Non-data ink is high and there is unnecessary data ink :
*# Shadowing and the 3-D visualization of the World Map, 3d visualization of the CO2 emissions and rising tides, these objects increase the non-data ink, thus decreasing the data-ink ratio.
*# 3-D CO2 Emission Bars block some of the regions which are supposed to convey important information. Thus decreasing or blocking the data-ink. (Especially the regions in black are blocked by these bars.)
*# The icon, which aims to emphasize regions of poverty, blocks important information and de-emphasizes the data-ink, although this icon doesn't convey a precise information.
*# The 3-D Scatter plot of Rising Tides is reducing the priority of other important data ink, and this information is seems to be an unnecessary data ink.
*# Consequently the real message or data is not supported in the Graph, which is against the task of visualizing quantitative information.

* The data is unorganized :
*# The essential message of the graph is not clear, CO2 emissions of Regions ? Heat the Poor ? or the rising tides ?
*# It is not clear which data has more priority.
*# The data is not sequenced, thus confusing the readers. In other words there is no direction for order in which data should be read.

* Scales,Plots and Texts :
*# The CO2 Emissions scale on the left side of the graph can't be taken as a reference, cause it is far away from the CO2 emission bars.
*# The negative axis of CO2 Emissions scale refers to nothing, since CO2 emissions can't have a negative value.
*# The 3-D Scatter plot which aims plotting the relationship between time and rising tides has an unclarity and this plot stands in the graph as if it is as important as the other data ink. It is not written on the axes what they refer to. Does the x-axis represent rising sea levels in centimeters ? and Does the y-axis refer to time in years ?, instead there is a text which is an unnecessary data ink.
*# It is not easy to guess what the graph is about, because of the missing clear titles and introduction. How should be the graph interpreted by readers ?
*# The sequence could have been clarified with some text, but in the following graph there is no sequence, therefore the current placements of the texts are not helping the readers to find an order in which data should be read.

===Corrections on the Graph ===

[[Image:Heat the poor1.GIF]]

* Reduction of non-data ink and Enhancement of data ink :
*# Shadowing and 3-D visualizations are removed, thus the non-data ink is reduced.
*# 3-D CO2 Emission Bars are removed, transformed into 2-D bars and placed at the uppermost segment of the graph, so that no data ink is blocked by any other data ink. Thus data ink is enhanced.
*# The icon for the regions of poverty is removed, replaced with a smaller one that it doesn't block other data ink anymore. Thus enhancing the data-ink.
*# Consequently the real message and additional information of the graph are clearly supported in the graph.

* Data organizing :
*# The data is reorganized by separating the graph into 3 parts.
*#* CO2 Emission plot with bars (uppermost part)
*#* Expected rise in temperature with respect to regions on the world map
*#* Rising tides plot
*# The essential message of the graph and additional information are clarified.
*#* Message of the graph : Co2 emissions related temperature risings won't effect the regions where Co2 comes from as much as the regions with widespread poverty.
*#* Additional information : Expected rise in temperature with respect to regions in order to show the essential message of the graph and Rising tides threatening the coastal areas as an extra info.
*# The data is sequenced by separating the graph into 3 parts.

* Scales,Plots and Texts :
*# The CO2 Emissions scale on the left side of the graph is removed and a new one with only positive values is placed next to CO2 bars.
*# The 3-D scatter plot of Rising Tides is transformed and simplified. The Text of this plot is replaced with a simple title. Thus enhancing the more important data ink and taking less attention.
*# The unnecessary text under the title Heat The Poor is replaced with a shorter one, thus introducing the graph to readers.

===References===

*[Few, 2004]:Stephen Few, Show Me the Numbers: Designing Tables and Graphs to Enlighten, Analytics Press, 2004, Chapter 7 - General Design for Communication.

== Links ==

* [[Teaching:TUW_-_UE_InfoVis_WS_2008/09|InfoVis:Wiki UE Homepage]]

* [http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/ UE InfoVis]

* [[Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01|Gruppe 01]]

File:Heat the poor1.GIF

2008-12-09T21:30:01Z

UE-InfoVis0809 0427537: New page: == Summary == == Copyright status == == Source ==

== Summary ==

== Copyright status ==

== Source ==

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01 - Aufgabe 3

2008-12-09T21:24:52Z

UE-InfoVis0809 0427537:

== Aufgabenstellung ==
[http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/infovis_ue_aufgabe3.html Beschreibung der Aufgabe 3]

=== Zu beurteilende Grafik ===
[[Image:Sotpg1.jpg|600px]] 
CO2 Emissions

The corrections and critics on the graphic are based on the design principles of Few [2004].
===Critics on the Graph===

* Non-data ink is high and there is unnecessary data ink :
*# Shadowing and the 3-D visualization of the World Map, 3d visualization of the CO2 emissions and rising tides, these objects increase the non-data ink, thus decreasing the data-ink ratio.
*# 3-D CO2 Emission Bars block some of the regions which are supposed to convey important information. Thus decreasing or blocking the data-ink. (Especially the regions in black are blocked by these bars.)
*# The icon, which aims to emphasize regions of poverty, blocks important information and de-emphasizes the data-ink, although this icon doesn't convey a precise information.
*# The 3-D Scatter plot of Rising Tides is reducing the priority of other important data ink, and this information is seems to be an unnecessary data ink.
*# Consequently the real message or data is not supported in the Graph, which is against the task of visualizing quantitative information.

* The data is unorganized :
*# The essential message of the graph is not clear, CO2 emissions of Regions ? Heat the Poor ? or the rising tides ?
*# It is not clear which data has more priority.
*# The data is not sequenced, thus confusing the readers. In other words there is no direction for order in which data should be read.

* Scales,Plots and Texts :
*# The CO2 Emissions scale on the left side of the graph can't be taken as a reference, cause it is far away from the CO2 emission bars.
*# The negative axis of CO2 Emissions scale refers to nothing, since CO2 emissions can't have a negative value.
*# The 3-D Scatter plot which aims plotting the relationship between time and rising tides has an unclarity and this plot stands in the graph as if it is as important as the other data ink. It is not written on the axes what they refer to. Does the x-axis represent rising sea levels in centimeters ? and Does the y-axis refer to time in years ?, instead there is a text which is an unnecessary data ink.
*# It is not easy to guess what the graph is about, because of the missing clear titles and introduction. How should be the graph interpreted by readers ?
*# The sequence could have been clarified with some text, but in the following graph there is no sequence, therefore the current placements of the texts are not helping the readers to find an order in which data should be read.

===Corrections on the Graph ===

* Reduction of non-data ink and Enhancement of data ink :
*# Shadowing and 3-D visualizations are removed, thus the non-data ink is reduced.
*# 3-D CO2 Emission Bars are removed, transformed into 2-D bars and placed at the uppermost segment of the graph, so that no data ink is blocked by any other data ink. Thus data ink is enhanced.
*# The icon for the regions of poverty is removed, replaced with a smaller one that it doesn't block other data ink anymore. Thus enhancing the data-ink.
*# Consequently the real message and additional information of the graph are clearly supported in the graph.

* Data organizing :
*# The data is reorganized by separating the graph into 3 parts.
*#* CO2 Emission plot with bars (uppermost part)
*#* Expected rise in temperature with respect to regions on the world map
*#* Rising tides plot
*# The essential message of the graph and additional information are clarified.
*#* Message of the graph : Co2 emissions related temperature risings won't effect the regions where Co2 comes from as much as the regions with widespread poverty.
*#* Additional information : Expected rise in temperature with respect to regions in order to show the essential message of the graph and Rising tides threatening the coastal areas as an extra info.
*# The data is sequenced by separating the graph into 3 parts.

* Scales,Plots and Texts :
*# The CO2 Emissions scale on the left side of the graph is removed and a new one with only positive values is placed next to CO2 bars.
*# The 3-D scatter plot of Rising Tides is transformed and simplified. The Text of this plot is replaced with a simple title. Thus enhancing the more important data ink and taking less attention.
*# The unnecessary text under the title Heat The Poor is replaced with a shorter one, thus introducing the graph to readers.

===References===

*[Few, 2004]:Stephen Few, Show Me the Numbers: Designing Tables and Graphs to Enlighten, Analytics Press, 2004, Chapter 7 - General Design for Communication.

== Links ==

* [[Teaching:TUW_-_UE_InfoVis_WS_2008/09|InfoVis:Wiki UE Homepage]]

* [http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/ UE InfoVis]

* [[Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01|Gruppe 01]]

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01 - Aufgabe 3

2008-12-09T21:17:28Z

UE-InfoVis0809 0427537:

== Aufgabenstellung ==
[http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/infovis_ue_aufgabe3.html Beschreibung der Aufgabe 3]

=== Zu beurteilende Grafik ===
[[Image:Sotpg1.jpg|600px]] 
CO2 Emissions

===Critics on the Graph===

* Non-data ink is high and there is unnecessary data ink :
*# Shadowing and the 3-D visualization of the World Map, 3d visualization of the CO2 emissions and rising tides, these objects increase the non-data ink, thus decreasing the data-ink ratio.
*# 3-D CO2 Emission Bars block some of the regions which are supposed to convey important information. Thus decreasing or blocking the data-ink. (Especially the regions in black are blocked by these bars.)
*# The icon, which aims to emphasize regions of poverty, blocks important information and de-emphasizes the data-ink, although this icon doesn't convey a precise information.
*# The 3-D Scatter plot of Rising Tides is reducing the priority of other important data ink, and this information is seems to be an unnecessary data ink.
*# Consequently the real message or data is not supported in the Graph, which is against the task of visualizing quantitative information.

* The data is unorganized :
*# The essential message of the graph is not clear, CO2 emissions of Regions ? Heat the Poor ? or the rising tides ?
*# It is not clear which data has more priority.
*# The data is not sequenced, thus confusing the readers. In other words there is no direction for order in which data should be read.

* Scales,Plots and Texts :
*# The CO2 Emissions scale on the left side of the graph can't be taken as a reference, cause it is far away from the CO2 emission bars.
*# The negative axis of CO2 Emissions scale refers to nothing, since CO2 emissions can't have a negative value.
*# The 3-D Scatter plot which aims plotting the relationship between time and rising tides has an unclarity and this plot stands in the graph as if it is as important as the other data ink. It is not written on the axes what they refer to. Does the x-axis represent rising sea levels in centimeters ? and Does the y-axis refer to time in years ?, instead there is a text which is an unnecessary data ink.
*# It is not easy to guess what the graph is about, because of the missing clear titles and introduction. How should be the graph interpreted by readers ?
*# The sequence could have been clarified with some text, but in the following graph there is no sequence, therefore the current placements of the texts are not helping the readers to find an order in which data should be read.

===Corrections on the Graph ===

* Reduction of non-data ink and Enhancement of data ink :
*# Shadowing and 3-D visualizations are removed, thus the non-data ink is reduced.
*# 3-D CO2 Emission Bars are removed, transformed into 2-D bars and placed at the uppermost segment of the graph, so that no data ink is blocked by any other data ink. Thus data ink is enhanced.
*# The icon for the regions of poverty is removed, replaced with a smaller one that it doesn't block other data ink anymore. Thus enhancing the data-ink.
*# Consequently the real message and additional information of the graph are clearly supported in the graph.

* Data organizing :
*# The data is reorganized by separating the graph into 3 parts.
*#* CO2 Emission plot with bars (uppermost part)
*#* Expected rise in temperature with respect to regions on the world map
*#* Rising tides plot
*# The essential message of the graph and additional information are clarified.
*#* Message of the graph : Co2 emissions related temperature risings won't effect the regions where Co2 comes from as much as the regions with widespread poverty.
*#* Additional information : Expected rise in temperature with respect to regions in order to show the essential message of the graph and Rising tides threatening the coastal areas as an extra info.
*# The data is sequenced by separating the graph into 3 parts.

* Scales,Plots and Texts :
*# The CO2 Emissions scale on the left side of the graph is removed and a new one with only positive values is placed next to CO2 bars.
*# The 3-D scatter plot of Rising Tides is transformed and simplified. The Text of this plot is replaced with a simple title. Thus enhancing the more important data ink and taking less attention.
*# The unnecessary text under the title Heat The Poor is replaced with a shorter one, thus introducing the graph to readers.

== Links ==

* [[Teaching:TUW_-_UE_InfoVis_WS_2008/09|InfoVis:Wiki UE Homepage]]

* [http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/ UE InfoVis]

* [[Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01|Gruppe 01]]

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01 - Aufgabe 3

2008-12-09T21:12:53Z

UE-InfoVis0809 0427537:

== Aufgabenstellung ==
[http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/infovis_ue_aufgabe3.html Beschreibung der Aufgabe 3]

=== Zu beurteilende Grafik ===
[[Image:Sotpg1.jpg|600px]] 
CO2 Emissions

===Critics on the Graph===

* Non-data ink is high and there is unnecessary data ink :
*# Shadowing and the 3-D visualization of the World Map, 3d visualization of the CO2 emissions and rising tides, these objects increase the non-data ink, thus decreasing the data-ink ratio.
*# 3-D CO2 Emission Bars block some of the regions which are supposed to convey important information. Thus decreasing or blocking the data-ink. (Especially the regions in black are blocked by these bars.)
*# The icon, which aims to emphasize regions of poverty, blocks important information and de-emphasizes the data-ink, although this icon doesn't convey a precise information.
*# The 3-D Scatter plot of Rising Tides is reducing the priority of other important data ink, and this information is seems to be an unnecessary data ink.
*# Consequently the real message or data is not supported in the Graph, which is against the task of visualizing quantitative information.

* The data is unorganized :
*# The essential message of the graph is not clear, CO2 emissions of Regions ? Heat the Poor ? or the rising tides ?
*# It is not clear which data has more priority.
*# The data is not sequenced, thus confusing the readers. In other words there is no direction for order in which data should be read.

* Scales,Plots and Texts :
*# The CO2 Emissions scale on the left side of the graph can't be taken as a reference, cause it is far away from the CO2 emission bars.
*# The negative axis of CO2 Emissions scale refers to nothing, since CO2 emissions can't have a negative value.
*# The 3-D Scatter plot which aims plotting the relationship between time and rising tides has an unclarity and this plot stands in the graph as if it is as important as the other data ink. It is not written on the axes what they refer to. Does the x-axis represent rising sea levels in centimeters ? and Does the y-axis refer to time in years ?, instead there is a text which is an unnecessary data ink.
*# It is not easy to guess what the graph is about, because of the missing clear titles and introduction. How should be the graph interpreted by readers ?
*# The sequence could have been clarified with some text, but in the following graph there is no sequence, therefore the current placements of the texts are not helping the readers to find an order in which data should be read.

===Corrections on the Graph ===

* Reduction of non-data ink and Enhancement of data ink :
*# Shadowing and 3-D visualizations are removed, thus the non-data ink is reduced.
*# 3-D CO2 Emission Bars are removed, transformed into 2-D bars and placed at the uppermost segment of the graph, so that no data ink is blocked by any other data ink. Thus data ink is enhanced.
*# The icon for the regions of poverty is removed, replaced with a smaller one that it doesn't block other data ink anymore. Thus enhancing the data-ink.
*# Consequently the real message and additional information of the graph are clearly supported in the graph.

* Data organizing :
*# The data is reorganized by separating the graph into 3 parts.
*#* CO2 Emission plot with bars (uppermost part)
*#* Expected rise in temperature with respect to regions on the world map
*#* Rising tides plot
*# The essential message of the graph and additional information are clarified.
*#* Message of the graph : Co2 emissions related temperature risings won't effect the regions where Co2 comes from as much as the regions with widespread poverty.
*#* Additional information : Expected rise in temperature with respect to regions in order to show the essential message of the graph and Rising tides threatening the coastal areas.
*# The data is sequenced by separating the graph into 3 parts.

* Scales,Plots and Texts :
*# The CO2 Emissions scale on the left side of the graph is removed and a new one with only positive values is placed next to CO2 bars.
*# The 3-D scatter plot of Rising Tides is transformed and simplified. The Text of this plot is replaced with a simple title. Thus enhancing the more important data ink and taking less attention.
*# The unnecessary text under the title Heat The Poor is replaced with a shorter one, thus introducing the graph to readers.

== Links ==

* [[Teaching:TUW_-_UE_InfoVis_WS_2008/09|InfoVis:Wiki UE Homepage]]

* [http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/ UE InfoVis]

* [[Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01|Gruppe 01]]

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01 - Aufgabe 3

2008-12-09T21:11:35Z

UE-InfoVis0809 0427537:

== Aufgabenstellung ==
[http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/infovis_ue_aufgabe3.html Beschreibung der Aufgabe 3]

=== Zu beurteilende Grafik ===
[[Image:Sotpg1.jpg|600px]] 
CO2 Emissions

===Critics on the Graph===

* Non-data ink is high and there is unnecessary data ink :
*# Shadowing and the 3-D visualization of the World Map, 3d visualization of the CO2 emissions and rising tides, these objects increase the non-data ink, thus decreasing the data-ink ratio.
*# 3-D CO2 Emission Bars block some of the regions which are supposed to convey important information. Thus decreasing or blocking the data-ink. (Especially the regions in black are blocked by these bars.)
*# The icon, which aims to emphasize regions of poverty, blocks important information and de-emphasizes the data-ink, although this icon doesn't convey a precise information.
*# The 3-D Scatter plot of Rising Tides is reducing the priority of other important data ink, and this information is seems to be an unnecessary data ink.
*# Consequently the real message or data is not supported in the Graph, which is against the task of visualizing quantitative information.

* The data is unorganized :
*# The essential message of the graph is not clear, CO2 emissions of Regions ? Heat the Poor ? or the rising tides ?
*# It is not clear which data has more priority.
*# The data is not sequenced, thus confusing the readers. In other words there is no direction for order in which data should be read.

* Scales,Plots and Texts :
*# The CO2 Emissions scale on the left side of the graph can't be taken as a reference, cause it is far away from the CO2 emission bars.
*# The negative axis of CO2 Emissions scale refers to nothing, since CO2 emissions can't have a negative value.
*# The 3-D Scatter plot which aims plotting the relationship between time and rising tides has an unclarity and this plot stands in the graph as if it is as important as the other data ink. It is not written on the axes what they refer to. Does the x-axis represent rising sea levels in centimeters ? and Does the y-axis refer to time in years ?, instead there is a text which is an unnecessary data ink.
*# It is not easy to guess what the graph is about, because of the missing clear titles and introduction. How should be the graph interpreted by readers ?
*# The sequence could have been clarified with some text, but in the following graph there is no sequence, therefore the current placements of the texts are not helping the readers to find an order in which data should be read.

===Corrections on the Graph ===

* Reduction of non-data ink and Enhancement of data ink :
*# Shadowing and 3-D visualizations are removed, thus the non-data ink is reduced.
*# 3-D CO2 Emission Bars are removed, transformed into 2-D bars and placed at the uppermost segment of the graph, so that no data ink is blocked by any other data ink. Thus data ink is enhanced.
*# The icon for the regions of poverty is removed, replaced with a smaller one that it doesn't block other data ink anymore. Thus enhancing the data-ink.
*# Consequently the real message and additional information of the graph are clearly supported in the graph.

* Data organizing :
*# The data is reorganized by separating the graph into 3 parts.
*#* CO2 Emission bars (uppermost part)
*#* Expected rise in temperature with respect to regions on the world map
*#* Rising tides plot
*# The essential message of the graph and additional information are clarified.
*#* Message of the graph : Co2 emissions related temperature risings won't effect the regions where Co2 comes from as much as the regions with widespread poverty.
*#* Additional information : Expected rise in temperature with respect to regions in order to show the essential message of the graph and Rising tides threatening the coastal areas.
*# The data is sequenced by separating the graph into 3 parts.

* Scales,Plots and Texts :
*# The CO2 Emissions scale on the left side of the graph is removed and a new one with only positive values is placed next to CO2 bars.
*# The 3-D scatter plot of Rising Tides is transformed and simplified. The Text of this plot is replaced with a simple title. Thus enhancing the more important data ink and taking less attention.
*# The unnecessary text under the title Heat The Poor is replaced with a shorter one, thus introducing the graph to readers.

== Links ==

* [[Teaching:TUW_-_UE_InfoVis_WS_2008/09|InfoVis:Wiki UE Homepage]]

* [http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/ UE InfoVis]

* [[Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01|Gruppe 01]]

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01 - Aufgabe 3

2008-12-09T21:10:05Z

UE-InfoVis0809 0427537:

== Aufgabenstellung ==
[http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/infovis_ue_aufgabe3.html Beschreibung der Aufgabe 3]

=== Zu beurteilende Grafik ===
[[Image:Sotpg1.jpg|600px]] 
CO2 Emissions

===Critics on the Graph===

* Non-data ink is high and there is unnecessary data ink :
*# Shadowing and the 3-D visualization of the World Map, 3d visualization of the CO2 emissions and rising tides, these objects increase the non-data ink, thus decreasing the data-ink ratio.
*# 3-D CO2 Emission Bars block some of the regions which are supposed to convey important information. Thus decreasing or blocking the data-ink. (Especially the regions in black are blocked by these bars.)
*# The icon, which aims to emphasize regions of poverty, blocks important information and de-emphasizes the data-ink, although this icon doesn't convey a precise information.
*# The 3-D Scatter plot of Rising Tides is reducing the priority of other important data ink, and this information is seems to be an unnecessary data ink.
*# Consequently the real message or data is not supported in the Graph, which is against the task of visualizing quantitative information.

* The data is unorganized :
*# The essential message of the graph is not clear, CO2 emissions of Regions ? Heat the Poor ? or the rising tides ?
*# It is not clear which data has more priority.
*# The data is not sequenced, thus confusing the readers. In other words there is no direction for order in which data should be read.

* Scales,Plots and Texts :
*# The CO2 Emissions scale on the left side of the graph can't be taken as a reference, cause it is far away from the CO2 emission bars.
*# The negative axis of CO2 Emissions scale refers to nothing, since CO2 emissions can't have a negative value.
*# The 3-D Scatter plot which aims plotting the relationship between time and rising tides has an unclarity and this plot stands in the graph as if it is as important as the other data ink. It is not written on the axes what they refer to. Does the x-axis represent rising sea levels in centimeters ? and Does the y-axis refer to time in years ?, instead there is a text which is an unnecessary data ink.
*# It is not easy to guess what the graph is about, because of the missing clear titles and introduction. How should be the graph interpreted by readers ?
*# The sequence could have been clarified with some text, but in the following graph there is no sequence, therefore the current placements of the texts are not helping the readers to find an order in which data should be read.

===Corrections on the Graph ===

* Reduction of non-data ink and Enhancement of data ink :
*# Shadowing and 3-D visualizations are removed, thus the non-data ink is reduced.
*# 3-D CO2 Emission Bars are removed, transformed into 2-D bars and placed at the uppermost segment of the graph, so that no data ink is blocked by any other data ink. Thus data ink is enhanced.
*# The icon for the regions of poverty is removed, replaced with a smaller one that it doesn't block other data ink anymore. Thus enhancing the data-ink.
*# Consequently the real message and additional information of the graph are clearly described.

* Data organizing :
*# The data is reorganized by separating the graph into 3 parts.
*#* CO2 Emission bars (uppermost part)
*#* Expected rise in temperature with respect to regions on the world map
*#* Rising tides plot
*# The essential message of the graph and additional information are clarified.
*#* Message of the graph : Co2 emissions related temperature risings won't effect the regions where Co2 comes from as much as the regions with widespread poverty.
*#* Additional information : Expected rise in temperature with respect to regions in order to show the essential message of the graph and Rising tides threatening the coastal areas.
*# The data is sequenced by separating the graph into 3 parts.

* Scales,Plots and Texts :
*# The CO2 Emissions scale on the left side of the graph is removed and a new one with only positive values is placed next to CO2 bars.
*# The 3-D scatter plot of Rising Tides is transformed and simplified. The Text of this plot is replaced with a simple title. Thus enhancing the more important data ink and taking less attention.
*# The unnecessary text under the title Heat The Poor is replaced with a shorter one, thus introducing the graph to readers.

== Links ==

* [[Teaching:TUW_-_UE_InfoVis_WS_2008/09|InfoVis:Wiki UE Homepage]]

* [http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/ UE InfoVis]

* [[Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01|Gruppe 01]]

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01 - Aufgabe 3

2008-12-09T21:09:17Z

UE-InfoVis0809 0427537:

== Aufgabenstellung ==
[http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/infovis_ue_aufgabe3.html Beschreibung der Aufgabe 3]

=== Zu beurteilende Grafik ===
[[Image:Sotpg1.jpg|600px]] 
CO2 Emissions

===Critics on the Graph===

* Non-data ink is high and there is unnecessary data ink :
*# Shadowing and the 3-D visualization of the World Map, 3d visualization of the CO2 emissions and rising tides, these objects increase the non-data ink, thus decreasing the data-ink ratio.
*# 3-D CO2 Emission Bars block some of the regions which are supposed to convey important information. Thus decreasing or blocking the data-ink. (Especially the regions in black are blocked by these bars.)
*# The icon, which aims to emphasize regions of poverty, blocks important information and de-emphasizes the data-ink, although this icon doesn't convey a precise information.
*# The 3-D Scatter plot of Rising Tides is reducing the priority of other important data ink, and this information is seems to be an unnecessary data ink.
*# Consequently the real message or data is not supported in the Graph, which is against the task of visualizing quantitative information.

* The data is unorganized :
*# The essential message of the graph is not clear, CO2 emissions of Regions ? Heat the Poor ? or the rising tides ?
*# It is not clear which data has more priority.
*# The data is not sequenced, thus confusing the readers. In other words there is no direction for order in which data should be read.

* Scales,Plots and Texts :
*# The CO2 Emissions scale on the left side of the graph can't be taken as a reference, cause it is far away from the CO2 emission bars.
*# The negative axis of CO2 Emissions scale refers to nothing, since CO2 emissions can't have a negative value.
*# The 3-D Scatter plot which aims plotting the relationship between time and rising tides has an unclarity and this plot stands in the graph as if it is as important as the other data ink. It is not written on the axes what they refer to. Does the x-axis represent rising sea levels in centimeters ? and Does the y-axis refer to time in years ?, instead there is a text which is an unnecessary data ink.
*# It is not easy to guess what the graph is about, because of the missing clear titles and introduction. How should be the graph interpreted by readers ?
*# The sequence could have been clarified with some text, but in the following graph there is no sequence, therefore the current placements of the texts are not helping the readers to find an order in which data should be read.

===Corrections on the Graph ===

* Reduction of non-data ink and Enhancement of data ink :
*# Shadowing and 3-D visualizations are removed, thus the non-data ink is reduced.
*# 3-D CO2 Emission Bars are removed, transformed into 2-D bars and placed at the uppermost segment of the graph, so that no data ink is blocked by any other data ink. Thus data ink is enhanced.
*# The icon for the regions of poverty is removed, replaced with smaller one that it doesn't block other data ink anymore. Thus enhancing the data-ink.
*# Consequently the real message and additional information of the graph are clearly described.

* Data organizing :
*# The data is reorganized by separating the graph into 3 parts.
*#* CO2 Emission bars (uppermost part)
*#* Expected rise in temperature with respect to regions on the world map
*#* Rising tides plot
*# The essential message of the graph and additional information are clarified.
*#* Message of the graph : Co2 emissions related temperature risings won't effect the regions where Co2 comes from as much as the regions with widespread poverty.
*#* Additional information : Expected rise in temperature with respect to regions in order to show the essential message of the graph and Rising tides threatening the coastal areas.
*# The data is sequenced by separating the graph into 3 parts.

* Scales,Plots and Texts :
*# The CO2 Emissions scale on the left side of the graph is removed and a new one with only positive values is placed next to CO2 bars.
*# The 3-D scatter plot of Rising Tides is transformed and simplified. The Text of this plot is replaced with a simple title. Thus enhancing the more important data ink and taking less attention.
*# The unnecessary text under the title Heat The Poor is replaced with a shorter one, thus introducing the graph to readers.

== Links ==

* [[Teaching:TUW_-_UE_InfoVis_WS_2008/09|InfoVis:Wiki UE Homepage]]

* [http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/ UE InfoVis]

* [[Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01|Gruppe 01]]

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01 - Aufgabe 3

2008-12-09T21:03:22Z

UE-InfoVis0809 0427537:

== Aufgabenstellung ==
[http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/infovis_ue_aufgabe3.html Beschreibung der Aufgabe 3]

=== Zu beurteilende Grafik ===
[[Image:Sotpg1.jpg|600px]] 
CO2 Emissions

===Critics on the Graph===

* Non-data ink is high and there is unnecessary data ink :
*# Shadowing and the 3-D visualization of the World Map, 3d visualization of the CO2 emissions and rising tides, these objects increase the non-data ink, thus decreasing the data-ink ratio.
*# 3-D CO2 Emission Bars block some of the regions which are supposed to convey important information. Thus decreasing or blocking the data-ink. (Especially the regions in black are blocked by these bars.)
*# The icon, which aims to emphasize regions of poverty, blocks important information and de-emphasizes the data-ink, although this icon doesn't convey a precise information.
*# The 3-D Scatter plot of Rising Tides is reducing the priority of other important data ink, and this information is seems to be an unnecessary data ink.
*# Consequently the real message or data is not supported in the Graph, which is against the task of visualizing quantitative information.

* The data is unorganized :
*# The essential message of the graph is not clear, CO2 emissions of Regions ? Heat the Poor ? or the rising tides ?
*# It is not clear which data has more priority.
*# The data is not sequenced, thus confusing the readers. In other words there is no direction for order in which data should be read.

* Scales,Plots and Texts :
*# The CO2 Emissions scale on the left side of the graph can't be taken as a reference, cause it is far away from the CO2 emission bars.
*# The negative axis of CO2 Emissions scale refers to nothing, since CO2 emissions can't have a negative value.
*# The 3-D Scatter plot which aims plotting the relationship between time and rising tides has an unclarity and this plot stands in the graph as if it is as important as the other data ink. It is not written on the axes what they refer to. Does the x-axis represent rising sea levels in centimeters ? and Does the y-axis refer to time in years ?, instead there is a text which is an unnecessary data ink.
*# It is not easy to guess what the graph is about, because of the missing clear titles and introduction. How should be the graph interpreted by readers ?
*# The sequence could have been clarified with some text, but in the following graph there is no sequence, therefore the current placements of the texts are not helping the readers to find an order in which data should be read.

===Corrections on the Graph ===

* Reduction of non-data ink and Enhancement of data ink :
*# Shadowing and 3-D visualizations are removed, thus the non-data ink is reduced.
*# 3-D CO2 Emission Bars are removed, transformed into 2-D bars and placed at the uppermost segment of the graph, so that no data ink is blocked by any other data ink. Thus data ink is enhanced.
*# The icon for the regions of poverty is removed, replaced with smaller one that it doesn't block other data ink anymore. Thus enhancing the data-ink.
*# Consequently the real message and additional information of the graph are clearly described.

* Data organizing :
*# The data is reorganized by separating the graph into 3 parts.
*#* CO2 Emission bars (uppermost part)
*#* Expected rise in temperature with respect to regions on the world map
*#* Rising tides plot
*# The essential message of the graph and additional information ire clarified.
*#* Message of the graph : Co2 emissions related temperature risings won't effect the regions where Co2 comes from as much as the regions with widespread poverty.
*#* Additional information : Expected rise in temperature with respect to regions in order to show the essential message of the graph and Rising tides threatening the coastal areas.
*# The data is sequenced by separating the graph into 3 parts.

* Scales,Plots and Texts :
*# The CO2 Emissions scale on the left side of the graph is removed and a new one with only positive values is placed next to CO2 bars.
*# The 3-D scatter plot of Rising Tides is transformed and simplified. The Text of this plot is replaced with a simple title. Thus enhancing the more important data ink and taking less attention.
*# The unnecessary text under the title Heat The Poor is replaced with a shorter one, thus introducing the graph to readers.

== Links ==

* [[Teaching:TUW_-_UE_InfoVis_WS_2008/09|InfoVis:Wiki UE Homepage]]

* [http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/ UE InfoVis]

* [[Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01|Gruppe 01]]

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01 - Aufgabe 3

2008-12-09T20:54:05Z

UE-InfoVis0809 0427537:

== Aufgabenstellung ==
[http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/infovis_ue_aufgabe3.html Beschreibung der Aufgabe 3]

=== Zu beurteilende Grafik ===
[[Image:Sotpg1.jpg|600px]] 
CO2 Emissions

===Critics on the Graph===

* Non-data ink is high and there is unnecessary data ink :
*# Shadowing and the 3-D visualization of the World Map, 3d visualization of the CO2 emissions and rising tides, these objects increase the non-data ink, thus decreasing the data-ink ratio.
*# 3-D CO2 Emission Bars block some of the regions which are supposed to convey important information. Thus decreasing or blocking the data-ink. (Especially the regions in black are blocked by these bars.)
*# The icon, which aims to emphasize regions of poverty, blocks important information and de-emphasizes the data-ink, although this icon doesn't convey a precise information.
*# The 3-D Scatter plot of Rising Tides is reducing the priority of other important data ink, and this information is seems to be an unnecessary data ink.
*# Consequently the real message or data is not supported in the Graph, which is against the task of visualizing quantitative information.

* The data is unorganized :
*# The essential message of the graph is not clear, CO2 emissions of Regions ? Heat the Poor ? or the rising tides ?
*# It is not clear which data has more priority.
*# The data is not sequenced, thus confusing the readers. In other words there is no direction for order in which data should be read.

* Scales,Plots and Texts :
*# The CO2 Emissions scale on the left side of the graph can't be taken as a reference, cause it is far away from the CO2 emission bars.
*# The negative axis of CO2 Emissions scale refers to nothing, since CO2 emissions can't have a negative value.
*# The 3-D Scatter plot which aims plotting the relationship between time and rising tides has an unclarity and this plot stands in the graph as if it is as important as the other data ink. It is not written on the axes what they refer to. Does the x-axis represent rising sea levels in centimeters ? and Does the y-axis refer to time in years ?, instead there is a text which is an unnecessary data ink.
*# It is not easy to guess what the graph is about, because of the missing clear titles and introduction. How should be the graph interpreted by readers ?
*# The sequence could have been clarified with some text, but in the following graph there is no sequence, therefore the current placements of the texts are not helping the readers to find an order in which data should be read.

===Corrections on the Graph ===

* Reduction of non-data ink and Enhancement of data ink :
*# Shadowing and 3-D visualizations are removed, thus the non-data ink is reduced.
*# 3-D CO2 Emission Bars are removed, transformed into 2-D bars and placed at the uppermost segment of the graph, so that no data ink is blocked by any other data ink. Thus data ink is enhanced.
*# The icon for the regions of poverty is removed, replaced with smaller one that it doesn't block other data ink anymore. Thus enhancing the data-ink.
*# Consequently the real message and additional information of the graph are clearly described.

* Data organizing :
*# The data is reorganized by separating the graph into 3 parts.
*#* CO2 Emission bars (uppermost part)
*#* Expected rise in temperature with respect to regions on the world map
*#* Rising tides plot
*# The essential message of the graph and additional information ire clarified.
*#* Message of the graph : Co2 emissions related temperature risings won't effect the regions where Co2 comes from as much as the regions with widespread poverty.
*#* Additional information : Expected rise in temperature with respect to regions in order to show the essential message of the graph and Rising tides threatening the coastal areas.
*# The data is sequenced by separating the graph into 3 parts.

* Scales,Plots and Texts :
*# The CO2 Emissions scale on the left side of the graph is removed and a new one with only positive values is placed next to CO2 bars.
*# The 3-D scatter plot of Rising Tides is transformed and simplified. The Text of this plot is replaced with a simple title. Thus enhancing the more important data ink and taking less attention.
*# The unnecessary text under the title Heat The Poor is replaced with a shorter one.

== Links ==

* [[Teaching:TUW_-_UE_InfoVis_WS_2008/09|InfoVis:Wiki UE Homepage]]

* [http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/ UE InfoVis]

* [[Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01|Gruppe 01]]

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01 - Aufgabe 3

2008-12-09T20:20:22Z

UE-InfoVis0809 0427537:

== Aufgabenstellung ==
[http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/infovis_ue_aufgabe3.html Beschreibung der Aufgabe 3]

=== Zu beurteilende Grafik ===
[[Image:Sotpg1.jpg|600px]] 
CO2 Emissions

===Critics on the Graph===

* Non-data ink is high and there is unnecessary data ink :
*# Shadowing and the 3-D visualization of the World Map, 3d visualization of the CO2 emissions and rising tides, these objects increase the non-data ink, thus decreasing the data-ink ratio.
*# 3-D CO2 Emission Bars block some of the regions which are supposed to convey important information. Thus decreasing or blocking the data-ink. (Especially the regions in black are blocked by these bars.)
*# The icon, which aims to emphasize regions of poverty, blocks important information and de-emphasizes the data-ink, although this icon doesn't convey a precise information.
*# The 3-D Scatter plot of Rising Tides is reducing the priority of other important data ink, and this information is seems to be an unnecessary data ink.
*# Consequently the real message or data is not supported in the Graph, which is against the task of visualizing quantitative information.

* The data is unorganized :
*# The essential message of the graph is not clear, CO2 emissions of Regions ? Heat the Poor ? or the rising tides ?
*# It is not clear which data has more priority.
*# The data is not sequenced, thus confusing the readers. In other words there is no direction for order in which data should be read.

* Scales,Plots and Texts :
*# The CO2 Emissions scale on the left side of the graph can't be taken as a reference, cause it is far away from the CO2 emission bars.
*# The negative axis of CO2 Emissions scale refers to nothing, since CO2 emissions can't have a negative value.
*# The 3-D Scatter plot which aims plotting the relationship between time and rising tides has an unclarity and this plot stands in the graph as if it is as important as the other data ink. It is not written on the axes what they refer to. Does the x-axis represent rising sea levels in centimeters ? and Does the y-axis refer to time in years ?, instead there is a text which is an unnecessary data ink.
*# It is not easy to guess what the graph is about, because of the missing clear titles and introduction. How should be the graph interpreted by readers ?
*# The sequence could have been clarified with some text, but in the following graph there is no sequence, therefore the current placements of the texts are not helping the readers to find an order in which data should be read.

===Corrections on the Graph ===

* Reduction of non-data ink and Enhancement of data ink :
*# Shadowing and 3-D visualizations are removed, thus the non-data ink is reduced.
*# 3-D CO2 Emission Bars are removed, transformed into 2-D bars and placed at the uppermost segment of the graph, so that no data ink is blocked by any other data ink. Thus data ink is enhanced.
*# The icon for the regions of poverty is removed, replaced with smaller one that it doesn't block other data ink anymore. Thus enhancing the data-ink.
*# Consequently the real message and additional information of the graph are clearly described.

* Data organizing :
*# The data is reorganized by separating the graph into 3 parts.
*#* CO2 Emission bars (uppermost part)
*#* Expected rise in temperature with respect to regions on the world map
*#* Rising tides plot
*# The essential message of the graph and additional information ire clarified.
*#* Message of the graph : Co2 emissions related temperature risings won't effect the regions where Co2 comes from as much as the regions with widespread poverty.
*#* Additional information : Expected rise in temperature with respect to regions in order to show the essential message of the graph and Rising tides threatening the coastal areas.
*# The data is sequenced by separating the graph into 3 parts.

* Scales,Plots and Texts :
*# The CO2 Emissions scale on the left side of the graph is removed and a new one with only positive values is placed next to CO2 bars.
*# The 3-D scatter plot of Rising Tides is transformed and simplified. The Text of this plot is replaced with a simple title. Thus enhancing the more important data ink and taking less attention.

== Links ==

* [[Teaching:TUW_-_UE_InfoVis_WS_2008/09|InfoVis:Wiki UE Homepage]]

* [http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/ UE InfoVis]

* [[Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01|Gruppe 01]]

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01 - Aufgabe 3

2008-12-09T19:54:24Z

UE-InfoVis0809 0427537:

== Aufgabenstellung ==
[http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/infovis_ue_aufgabe3.html Beschreibung der Aufgabe 3]

=== Zu beurteilende Grafik ===
[[Image:Sotpg1.jpg|600px]] 
CO2 Emissions

===Critics on the Graph===

* Non-data ink is high :
*# Shadowing and the 3-D visualization of the World Map, 3d visualization of the CO2 emissions and rising tides, these objects increase the non-data ink, thus decreasing the data-ink ratio.
*# 3-D CO2 Emission Bars block some of the regions which are supposed to convey important information. Thus decreasing or blocking the data-ink. (Especially the regions in black are blocked by these bars.)
*# The icon, which aims to emphasize regions of poverty, blocks important information and de-emphasizes the data-ink, although this icon doesn't convey a precise information.
*# Consequently the real message or data is not supported in the Graph, which is against the task of visualizing quantitative information.

* The data is unorganized :
*# The essential message of the graph is not clear, CO2 emissions of Regions ? Heat the Poor ? or the rising tides ?
*# It is not clear which data has more priority.
*# The data is not sequenced, thus confusing the readers. In other words there is no direction for order in which data should be read.

* Scales,Plots and Texts :
*# The CO2 Emissions scale on the left side of the graph can't be taken as a reference, cause it is far away from the CO2 emission bars.
*# The negative axis of CO2 Emissions scale refers to nothing, since CO2 emissions can't have a negative value.
*# The 3-D Scatter plot which aims plotting the relationship between time and rising tides has an unclarity and this plot stands in the graph as if it is as important as the other data ink. It is not written on the axes what they refer to. Does the x-axis represent rising sea levels in centimeters ? and Does the y-axis refer to time in years ?.
*# It is not easy to guess what the graph is about, because of the missing clear titles and introduction. How should be the graph interpreted by readers ?
*# The sequence could have been clarified with some text, but in the following graph there is no sequence, therefore the current placements of the texts are not helping the readers to find an order in which data should be read.

===Corrections on the Graph ===

* Reduction of non-data ink and Enhancement of data ink :
*# Shadowing and 3-D visualizations are removed, thus the non-data ink is reduced.
*# 3-D CO2 Emission Bars are removed, transformed into 2-D bars and placed at the uppermost segment of the graph, so that no data ink is blocked by any other data ink. Thus data ink is enhanced.
*# The icon for the regions of poverty is removed, replaced with smaller one that it doesn't block other data ink anymore. Thus enhancing the data-ink.
*# Consequently the real message and additional information of the graph are clearly described.

* Data organizing :
*# The data is reorganized by separating the graph into 3 parts.
*#* CO2 Emission bars (uppermost part)
*#* Expected rise in temperature with respect to regions on the world map
*#* Rising tides plot
*# The essential message of the graph and additional information ire clarified.
*#* Message of the graph : Co2 emissions related temperature risings won't effect the regions where Co2 comes from as much as the regions with widespread poverty.
*#* Additional information : Expected rise in temperature with respect to regions in order to show the essential message of the graph and Rising tides threatening the coastal areas.
*# The data is sequenced by separating the graph into 3 parts.

* Scales,Plots and Texts :
*# The CO2 Emissions scale on the left side of the graph is removed and a new one with only positive values is placed next to CO2 bars.
*# The 3-D scatter plot of Rising Tides is transformed and simplified. Thus enhancing the more important data ink and taking less attention.

== Links ==

* [[Teaching:TUW_-_UE_InfoVis_WS_2008/09|InfoVis:Wiki UE Homepage]]

* [http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/ UE InfoVis]

* [[Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01|Gruppe 01]]

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01 - Aufgabe 3

2008-12-09T19:53:38Z

UE-InfoVis0809 0427537:

== Aufgabenstellung ==
[http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/infovis_ue_aufgabe3.html Beschreibung der Aufgabe 3]

=== Zu beurteilende Grafik ===
[[Image:Sotpg1.jpg|600px]] 
CO2 Emissions

===Critics on the table===

* Non-data ink is high :
*# Shadowing and the 3-D visualization of the World Map, 3d visualization of the CO2 emissions and rising tides, these objects increase the non-data ink, thus decreasing the data-ink ratio.
*# 3-D CO2 Emission Bars block some of the regions which are supposed to convey important information. Thus decreasing or blocking the data-ink. (Especially the regions in black are blocked by these bars.)
*# The icon, which aims to emphasize regions of poverty, blocks important information and de-emphasizes the data-ink, although this icon doesn't convey a precise information.
*# Consequently the real message or data is not supported in the Graph, which is against the task of visualizing quantitative information.

* The data is unorganized :
*# The essential message of the graph is not clear, CO2 emissions of Regions ? Heat the Poor ? or the rising tides ?
*# It is not clear which data has more priority.
*# The data is not sequenced, thus confusing the readers. In other words there is no direction for order in which data should be read.

* Scales,Plots and Texts :
*# The CO2 Emissions scale on the left side of the graph can't be taken as a reference, cause it is far away from the CO2 emission bars.
*# The negative axis of CO2 Emissions scale refers to nothing, since CO2 emissions can't have a negative value.
*# The 3-D Scatter plot which aims plotting the relationship between time and rising tides has an unclarity and this plot stands in the graph as if it is as important as the other data ink. It is not written on the axes what they refer to. Does the x-axis represent rising sea levels in centimeters ? and Does the y-axis refer to time in years ?.
*# It is not easy to guess what the graph is about, because of the missing clear titles and introduction. How should be the graph interpreted by readers ?
*# The sequence could have been clarified with some text, but in the following graph there is no sequence, therefore the current placements of the texts are not helping the readers to find an order in which data should be read.

===Corrections on the table ===

* Reduction of non-data ink and Enhancement of data ink :
*# Shadowing and 3-D visualizations are removed, thus the non-data ink is reduced.
*# 3-D CO2 Emission Bars are removed, transformed into 2-D bars and placed at the uppermost segment of the graph, so that no data ink is blocked by any other data ink. Thus data ink is enhanced.
*# The icon for the regions of poverty is removed, replaced with smaller one that it doesn't block other data ink anymore. Thus enhancing the data-ink.
*# Consequently the real message and additional information of the graph are clearly described.

* Data organizing :
*# The data is reorganized by separating the graph into 3 parts.
*#* CO2 Emission bars (uppermost part)
*#* Expected rise in temperature with respect to regions on the world map
*#* Rising tides plot
*# The essential message of the graph and additional information ire clarified.
*#* Message of the graph : Co2 emissions related temperature risings won't effect the regions where Co2 comes from as much as the regions with widespread poverty.
*#* Additional information : Expected rise in temperature with respect to regions in order to show the essential message of the graph and Rising tides threatening the coastal areas.
*# The data is sequenced by separating the graph into 3 parts.

* Scales,Plots and Texts :
*# The CO2 Emissions scale on the left side of the graph is removed and a new one with only positive values is placed next to CO2 bars.
*# The 3-D scatter plot of Rising Tides is transformed and simplified. Thus enhancing the more important data ink and taking less attention.

== Links ==

* [[Teaching:TUW_-_UE_InfoVis_WS_2008/09|InfoVis:Wiki UE Homepage]]

* [http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/ UE InfoVis]

* [[Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01|Gruppe 01]]

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01 - Aufgabe 3

2008-12-09T19:18:04Z

UE-InfoVis0809 0427537: corrections added..

== Aufgabenstellung ==
[http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/infovis_ue_aufgabe3.html Beschreibung der Aufgabe 3]

=== Zu beurteilende Grafik ===
[[Image:Sotpg1.jpg|600px]] 
CO2 Emissions

===Critics on the table===

* Non-data ink is high :
*# Shadowing and the 3-D visualization of the World Map, 3d visualization of the CO2 emissions and rising tides, these objects increase the non-data ink, thus decreasing the data-ink ratio.
*# 3-D CO2 Emission Bars block some of the regions which are supposed to convey important information. Thus decreasing or blocking the data-ink. (Especially the regions in black are blocked by these bars.)
*# The icon, which aims to emphasize regions of poverty, blocks important information and de-emphasizes the data-ink, although this icon doesn't convey a precise information.
*# Consequently the real message or data is not supported in the Graph, which is against the task of visualizing quantitative information.

* The data is unorganized :
*# The essential message of the graph is not clear, CO2 emissions of Regions ? Heat the Poor ? or the rising tides ?
*# It is not clear which data has more priority.
*# The data is not sequenced, thus confusing the readers. In other words there is no direction for order in which data should be read.

* Scales,Plots and Texts :
*# The CO2 Emissions scale on the left side of the graph can't be taken as a reference, cause it is far away from the CO2 emission bars.
*# The negative axis of CO2 Emissions scale refers to nothing, since CO2 emissions can't have a negative value.
*# The 3-D Scatter plot which aims plotting the relationship between time and rising tides has an unclarity. It is not written on the axes what they refer to. Does the x-axis represent rising sea levels in centimeters ? and Does the y-axis refer to time in years ?.
*# It is not easy to guess what the graph is about, because of the missing clear titles and introduction. How should be the graph interpreted by readers ?
*# The sequence could have been clarified with some text, but in the following graph there is no sequence, therefore the current placements of the texts are not helping the readers to find an order in which data should be read.

===Corrections on the table ===

* Reduction of non-data ink and Enhancement of data ink :
*# Shadowing and 3-D visualizations are removed, thus the non-data ink is reduced.
*# 3-D CO2 Emission Bars are removed, transformed into 2-D bars and placed at the uppermost segment of the graph, so that no data ink is blocked by any other data ink. Thus data ink is enhanced.
*# The icon for the regions of poverty is removed, replaced with smaller one that it doesn't block other data ink anymore. Thus enhancing the data-ink.
*# Consequently the real message and additional information of the graph are clearly described.

* Data organizing :
*# The data is reorganized by separating the graph into 3 parts.
*#* CO2 Emission bars (uppermost part)
*#* Expected rise in temperature with respect to regions on the world map
*#* Rising tides plot
*# The essential message of the graph and additional information ire clarified.
*#* Message of the graph : Co2 emissions related temperature risings won't effect the regions where Co2 comes from as much as the regions with widespread poverty.
*#* Additional information : Expected rise in temperature with respect to regions in order to show the essential message of the graph and Rising tides threatening the coastal areas.
*# The data is sequenced by separating the graph into 3 parts.

== Links ==

* [[Teaching:TUW_-_UE_InfoVis_WS_2008/09|InfoVis:Wiki UE Homepage]]

* [http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/ UE InfoVis]

* [[Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01|Gruppe 01]]

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01 - Aufgabe 3

2008-12-09T19:04:43Z

UE-InfoVis0809 0427537: corrections added..

== Aufgabenstellung ==
[http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/infovis_ue_aufgabe3.html Beschreibung der Aufgabe 3]

=== Zu beurteilende Grafik ===
[[Image:Sotpg1.jpg|600px]] 
CO2 Emissions

===Critics on the table===

* Non-data ink is high :
*# Shadowing and the 3-D visualization of the World Map, 3d visualization of the CO2 emissions and rising tides, these objects increase the non-data ink, thus decreasing the data-ink ratio.
*# 3-D CO2 Emission Bars block some of the regions which are supposed to convey important information. Thus decreasing or blocking the data-ink. (Especially the regions in black are blocked by these bars.)
*# The icon, which aims to emphasize regions of poverty, blocks important information and de-emphasizes the data-ink, although this icon doesn't convey a precise information.
*# Consequently the real message or data is not supported in the Graph, which is against the task of visualizing quantitative information.

* The data is unorganized :
*# The essential message of the graph is not clear, CO2 emissions of Regions ? Heat the Poor ? or the rising tides ?
*# It is not clear which data has more priority.
*# The data is not sequenced, thus confusing the readers. In other words there is no direction for order in which data should be read.

* Scales,Plots and Texts :
*# The CO2 Emissions scale on the left side of the graph can't be taken as a reference, cause it is far away from the CO2 emission bars.
*# The negative axis of CO2 Emissions scale refers to nothing, since CO2 emissions can't have a negative value.
*# The 3-D Scatter plot which aims plotting the relationship between time and rising tides has an unclarity. It is not written on the axes what they refer to. Does the x-axis represent rising sea levels in centimeters ? and Does the y-axis refer to time in years ?.
*# It is not easy to guess what the graph is about, because of the missing clear titles and introduction. How should be the graph interpreted by readers ?
*# The sequence could have been clarified with some text, but in the following graph there is no sequence, therefore the current placements of the texts are not helping the readers to find an order in which data should be read.

===Corrections on the table ===

* Reduction of non-data ink and Enhancement of data ink :
*# Shadowing and 3-D visualizations are removed, thus the non-data ink is reduced.
*# 3-D CO2 Emission Bars are removed, transformed into 2-D bars and placed at the uppermost segment of the graph, so that no data ink is blocked by any other data ink. Thus data ink is enhanced.
*# The icon for the regions of poverty is removed, replaced with smaller one that it doesn't block other data ink anymore. Thus enhancing the data-ink.
*# The main message of the graph is clarified : Co2 emissions related temperature risings won't effect the regions where Co2 comes from as much as the regions with widespread poverty.

* Data organizing :
*# The data is reorganized by separating the graph into 3 parts.
*#* CO2 Emission bars (uppermost part)
*#* Expected rise in temperature with respect to regions on the world map
*#* Rising tides plot

== Links ==

* [[Teaching:TUW_-_UE_InfoVis_WS_2008/09|InfoVis:Wiki UE Homepage]]

* [http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/ UE InfoVis]

* [[Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01|Gruppe 01]]

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01 - Aufgabe 3

2008-12-09T18:48:42Z

UE-InfoVis0809 0427537:

== Aufgabenstellung ==
[http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/infovis_ue_aufgabe3.html Beschreibung der Aufgabe 3]

=== Zu beurteilende Grafik ===
[[Image:Sotpg1.jpg|600px]] 
CO2 Emissions

===Critics on the table===

* Non-data ink is high :
*# Shadowing and the 3-D visualization of the World Map, 3d visualization of the CO2 emissions and rising tides, these objects increase the non-data ink, thus decreasing the data-ink ratio.
*# 3-D CO2 Emission Bars block some of the regions which are supposed to convey important information. Thus decreasing or blocking the data-ink. (Especially the regions in black are blocked by these bars.)
*# The icon, which aims to emphasize regions of poverty, blocks important information and de-emphasizes the data-ink, although this icon doesn't convey a precise information.
*# Consequently the real message or data is not supported in the Graph, which is against the task of visualizing quantitative information.

* The data is unorganized :
*# The essential message of the graph is not clear, CO2 emissions of Regions ? Heat the Poor ? or the rising tides ?
*# It is not clear which data has more priority.
*# The data is not sequenced, thus confusing the readers. In other words there is no direction for order in which data should be read.

* Scales,Plots and Texts :
*# The CO2 Emissions scale on the left side of the graph can't be taken as a reference, cause it is far away from the CO2 emission bars.
*# The negative axis of CO2 Emissions scale refers to nothing, since CO2 emissions can't have a negative value.
*# The 3-D Scatter plot which aims plotting the relationship between time and rising tides has an unclarity. It is not written on the axes what they refer to. Does the x-axis represent rising sea levels in centimeters ? and Does the y-axis refer to time in years ?.
*# It is not easy to guess what the graph is about, because of the missing clear titles and introduction. How should be the graph interpreted by readers ?
*# The sequence could have been clarified with some text, but in the following graph there is no sequence, therefore the current placements of the texts are not helping the readers to find an order in which data should be read.

===Corrections on the table ===

* Reduction of non-data ink and Enhancement of data-ink :
*# Shadowing and 3-D visualizations are removed, thus the data-ink ratio is increased.
*# 3-D CO2 Emission Bars are removed, transformed into 2-D bars and placed at the uppermost segment of the graph, so that
*# The icon for the regions of poverty is removed, replaced with smaller one that it doesn't block other data-ink anymore. Thus enhancing the data-ink.
* The main message of the graph is clarified : Co2 emissions related temperature rising won't effect the regions where it comes from as much as the regions with widespread poverty.
* We have reduced the non-data ink by removing the 3-D and shadowing effects.
* The Co2 Emission bars are moved to the uppermost level of the graph, thus emphasizing the data-ink.
* The information is reorganized by separating the graph into 3 parts.

== Links ==

* [[Teaching:TUW_-_UE_InfoVis_WS_2008/09|InfoVis:Wiki UE Homepage]]

* [http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/ UE InfoVis]

* [[Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01|Gruppe 01]]

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01 - Aufgabe 3

2008-12-09T18:44:33Z

UE-InfoVis0809 0427537:

== Aufgabenstellung ==
[http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/infovis_ue_aufgabe3.html Beschreibung der Aufgabe 3]

=== Zu beurteilende Grafik ===
[[Image:Sotpg1.jpg|600px]] 
CO2 Emissions

===Critics on the table===

* Non-data ink is high :
*# Shadowing and the 3-D visualization of the World Map, 3d visualization of the CO2 emissions and rising tides, these objects increase the non-data ink, thus decreasing the data-ink ratio.
*# 3-D CO2 Emission Bars block some of the regions which is supposed to convey important information. Thus decreasing or blocking the data-ink. (Especially the regions in black are blocked by these bars.)
*# The icon, which aims to emphasize regions of poverty, blocks important information and de-emphasizes the data-ink, although this icon doesn't convey a precise information.
*# Consequently the real message or data is not supported in the Graph, which is against the task of visualizing quantitative information.

* The data is unorganized :
*# The essential message of the graph is not clear, CO2 emissions of Regions ? Heat the Poor ? or the rising tides ?
*# It is not clear which data has more priority.
*# The data is not sequenced, thus confusing the readers. In other words there is no direction for order in which data should be read.

* Scales,Plots and Texts :
*# The CO2 Emissions scale on the left side of the graph can't be taken as a reference, cause it is far away from the CO2 emission bars.
*# The negative axis of CO2 Emissions scale refers to nothing, since CO2 emissions can't have a negative value.
*# The 3-D Scatter plot which aims plotting the relationship between time and rising tides has an unclarity. It is not written on the axes what they refer to. Does the x-axis represent rising sea levels in centimeters ? and Does the y-axis refer to time in years ?.
*# It is not easy to guess what the graph is about, because of the missing clear titles and introduction. How should be the graph interpreted by readers ?
*# The sequence could have been clarified with some text, but in the following graph there is no sequence, therefore the current placements of the texts are not helping the readers to find an order in which data should be read.

===Corrections on the table ===

* Reduction of unnecessary non-data ink :
*# Shadowing and 3-D visualizations are removed, thus the data-ink ratio is increased.
*# 3-D CO2 Emission Bars are removed, transformed into 2-D bars and placed at the uppermost segment of the graph.
*# The icon for the regions of poverty is removed, replaced with smaller one that it doesn't block other data-ink anymore. Thus enhancing the data-ink.
* The main message of the graph is clarified : Co2 emissions related temperature rising won't effect the regions where it comes from as much as the regions with widespread poverty.
* We have reduced the non-data ink by removing the 3-D and shadowing effects.
* The Co2 Emission bars are moved to the uppermost level of the graph, thus emphasizing the data-ink.
* The information is reorganized by separating the graph into 3 parts.

== Links ==

* [[Teaching:TUW_-_UE_InfoVis_WS_2008/09|InfoVis:Wiki UE Homepage]]

* [http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/ UE InfoVis]

* [[Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01|Gruppe 01]]

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01 - Aufgabe 3

2008-12-09T14:49:19Z

UE-InfoVis0809 0427537:

== Aufgabenstellung ==
[http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/infovis_ue_aufgabe3.html Beschreibung der Aufgabe 3]

=== Zu beurteilende Grafik ===
[[Image:Sotpg1.jpg|600px]] 
CO2 Emissions

===Critics on the table===

* Non-data ink is high :
** Shadowing and the 3-D visualization of the World Map, 3d visualization of the CO2 emissions and rising tides, these objects increase the non-data ink, thus decreasing the data-ink ratio.
** 3-D CO2 Emission Bars block some the regions which is supposed to convey important information. (Especially the regions in black)
** The icon, which aims to emphasize regions of poverty, blocks important information and de-emphasizes the data-ink, although this icon doesn't convey a precise information.
** Consequently the real message or data is not supported in the Graph, which is against the task of visualizing quantitive information.

* The data is unorganized :
** The essential message of the graph is not clear, CO2 emissions of Regions ? Heat the Poor ? or the rising tides ?
** It is not clear which data has more priority.
** The data is not sequenced, thus confusing the readers. In other words there is no direction for order in which data should be read.

*Scales and Plots :
** The CO2 Emissions scale on the left side of the graph can't be taken as a reference, cause it is far away from the CO2 emission bars.
** The negative axis of CO2 Emissions scale refers to nothing, since CO2 emissions can't have a negative value.
** The 3-D Scatter plot which aims plotting the relationship between time and rising tides has an unclarity. It is not written on the axes what they refer to. Does the x-axis represent rising sea levels in centimeters ? and Does the y-axis refer to time in years ?.

===Corrections on the table ===

== Links ==

* [[Teaching:TUW_-_UE_InfoVis_WS_2008/09|InfoVis:Wiki UE Homepage]]

* [http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/ UE InfoVis]

* [[Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01|Gruppe 01]]

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01 - Aufgabe 3

2008-12-09T14:46:44Z

UE-InfoVis0809 0427537: some more critics added.

== Aufgabenstellung ==
[http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/infovis_ue_aufgabe3.html Beschreibung der Aufgabe 3]

=== Zu beurteilende Grafik ===
[[Image:Sotpg1.jpg|600px]] 
CO2 Emissions

===Critics on the table===

* Non-data ink is high :
** Shadowing and the 3-D visualization of the World Map, 3d visualization of the CO2 emissions and rising tides, these objects increase the non-data ink, thus decreasing the data-ink ratio.
** 3-D CO2 Emission Bars block some the regions which is supposed to convey important information. (Especially the regions in black)
** The icon, which aims to emphasize regions of poverty, blocks important information and de-emphasizes the data-ink, although this icon doesn't convey a precise information.
** Consequently the real message or data is not supported in the Graph, which is against the task of visualizing quantitive information.

* The data is unorganized :
** The essential message of the graph is not clear, CO2 emissions of Regions ? Heat the Poor ? or the rising tides ?
** It is not clear which data has more priority.
** The data is not sequenced, thus confusing the readers. In other words there is no direction for order in which data should be read.

*Scales and Plots :
** The CO2 Emissions scale on the left side of the graph can't be taken as a reference, cause it is far away from the CO2 emission bars.
** The negative axis of CO2 Emissions scale refers to nothing, since CO2 emissions can't have a negative value.
** The 3-D Scatter plot which aims plotting the relationship between time and rising tides has an unclarity. It is not written on the axes what they refer to. Does the x-axis represent rising tides in centimeters ? or Does the y-axis refer to time in years ?

===Corrections on the table ===

== Links ==

* [[Teaching:TUW_-_UE_InfoVis_WS_2008/09|InfoVis:Wiki UE Homepage]]

* [http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/ UE InfoVis]

* [[Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01|Gruppe 01]]

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01 - Aufgabe 3

2008-12-09T14:23:50Z

UE-InfoVis0809 0427537:

== Aufgabenstellung ==
[http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/infovis_ue_aufgabe3.html Beschreibung der Aufgabe 3]

=== Zu beurteilende Grafik ===
[[Image:Sotpg1.jpg|600px]] 
CO2 Emissions

===Critics on the table===

* Non-data ink is high :
** Shadowing and the 3-D visualization of the World Map, 3d visualization of the CO2 emissions and rising tides, these objects increase the non-data ink, thus decreasing the data-ink ratio.
** 3-D CO2 Emission Bars block some the regions which is supposed to convey important information. (Especially the regions in black)
** The icon, which aims to emphasize regions of poverty, blocks important information and de-emphasizes the data-ink, although this icon doesn't convey a precise information.
** Consequently the real message or data is not supported in the Graph, which is against the task of visualizing quantitive information.

* The data is unorganized :
** The essential message of the graph is not clear, CO2 emissions of Regions ? Heat the Poor ? or the rising tides ?
** It is not clear which data has more priority.
** The data is not sequenced, thus confusing the readers. In other words there is no direction for order in which data should be read.

===Corrections on the table ===

== Links ==

* [[Teaching:TUW_-_UE_InfoVis_WS_2008/09|InfoVis:Wiki UE Homepage]]

* [http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/ UE InfoVis]

* [[Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01|Gruppe 01]]

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01 - Aufgabe 3

2008-12-09T13:51:07Z

UE-InfoVis0809 0427537:

== Aufgabenstellung ==
[http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/infovis_ue_aufgabe3.html Beschreibung der Aufgabe 3]

=== Zu beurteilende Grafik ===
[[Image:Sotpg1.jpg|600px]] 
CO2 Emissions

===Critics on the table===

* Non-data ink is high :
** Shadowing and the 3-D visualization of the World Map, 3d visualization of the CO2 emissions and rising tides, these objects increase the non-data ink, thus decreasing the data-ink ratio.
** 3-D CO2 Emission Bars block some the regions which is supposed to convey important information. (Especially the regions in black)
** The icon, which aims to emphasize regions of poverty, blocks important information and de-emphasizes the data-ink, although this icon doesn't convey a precise information.
** Consequently the real message or data is not supported in the Graph, which is against the task of visualizing quantitive information.

===Corrections on the table ===

== Links ==

* [[Teaching:TUW_-_UE_InfoVis_WS_2008/09|InfoVis:Wiki UE Homepage]]

* [http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/ UE InfoVis]

* [[Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01|Gruppe 01]]

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01 - Aufgabe 3

2008-12-09T13:48:14Z

UE-InfoVis0809 0427537: some critics are added..

== Aufgabenstellung ==
[http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/infovis_ue_aufgabe3.html Beschreibung der Aufgabe 3]

=== Zu beurteilende Grafik ===
[[Image:Sotpg1.jpg|600px]] 
CO2 Emissions

===Critics on the table===

* Non-data ink is high :
** Shadowing and the 3-D visualization of the World Map, 3d visualization of the CO2 emissions and rising tides, these objects increase the non-data ink, thus decreasing the data-ink ratio.
** 3-D CO2 Emission Bars block some the regions which is supposed to convey important information. (Especially the regions in black)
** The icon, which aims to emphasize regions of poverty, blocks important information and de-emphasizes the data-ink, although this icon doesn't convey a precise information.

** The real message or data is not supported in the Graph, and this is against the task of visualizing quantitive information.

===Corrections on the table ===

== Links ==

* [[Teaching:TUW_-_UE_InfoVis_WS_2008/09|InfoVis:Wiki UE Homepage]]

* [http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/ UE InfoVis]

* [[Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01|Gruppe 01]]

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01 - Aufgabe 1 - Visual Encoding

2008-11-26T21:48:28Z

UE-InfoVis0809 0427537: photo info added.

= Visual Encoding =

==Introduction==

Firstly it's a must to mention that visual representations of information has some unsolved problems as well as advantages. 

"The visual display of information allows people to become more easily aware of essential facts, to quickly see reqularities and outliers in data, and therefore to develop a deeper understanding of data."[Dourish et al,2003]

Visual representations are widely used not only in business companies, universities, newspapers, etc.. ,but also in daily life these representations are everywhere around us. In this point it comes into question how the visualizations should be built up, to make the visual representations perceptible. Visual encoding and it's techniques help us with this, they are the guide of converting the data into a visual form. 

== Definition ==

Visual encoding aims to represent data in a form that we all can perceive and it consists of some techniques to convert the data into a perceptible form. Thus enabling us to make visualization on any kind of display. For a visualization we need graphical elements to show the syntax of what we mean. 

"Visual encoding is the set of techniques enabling the representation of data on a screen or on paper. It comprises of the use of shapes, colours, areas and other visual variables that make it possible to associate data variables to graphic variables [Dürsteler, 2005]." 

"Visual encodings are mappings of information to display elements [Munzner, 2000]".

== Techniques of Visual Encoding ==

"The fundamental substrate of visualizations is spatial position. Marks such as points, lines, or area-covering elements can be placed on this substrate. These marks can carry additional information independent of their spatial position, such as size, greyscale luminance (brightness) value, surface texture density, color hue, color saturation, curvature, angle, and shape [Munzner, 2000]".

Six kinds of Visual Encoding:

* Space
* Marks
* Connections & Enclosures
* Retinal Properties
* Temporal Encoding
* Viewpoint Transformation

=== Space ===

When you think about an empty paper as the beginning of a visualisation, the space between some possible object is one of the most powerful aspects to give something an important note. It is the space where data is represented in a visualization.

=== Marks ===

Marks are the objects which is needed to represent the data in a visualization, that the data is into a perceptible form. Thus making the perception of the visual representation easier.

"Marks are the visible things that occur in space [Card et al., 1999]." 

"Marks are simply any graphical symbol visible on a display medium [Ignatius and Senay, 1999]." 

There are four types of simple Marks :
* Points
* Lines
* Areas
* Volumes

=== Connections & enclosures ===

Connections and enclosures build the important dependencies between the objects (marks). Connections show a relationship between objects, while enclosures can also indicate related objects.

=== Retinal properties ===

Simply retinal properties are all those properties of marks which have something to do with human eye perception. Thus describing how objects (marks) look like.

"A retinal encoding is any variation of the marks that the retina of the eye can perceive besides position [Ignatius and Senay, 1999]." 

"Retinal properties are the informations that are carried by marks, such as crispness, shape, resolution, transperancy, color(value,hue & saturation), grayscale [Munzner, 2000]." 

[[Image:retinal.JPG|center|400px|thumb|[Card et al., 1999] Retinal properties]]

=== Temporal encoding ===

A temporal encoding shows how the marks' properties vary over time. 

"It's the encoding which depends on the temporal changes of marks (mark position and their retinal properties) [Ignatius and Senay, 1999]".

=== Viewpoint transformations ===

"Viewpoint transformations modify interactively and augment Visual Structures to turn static presentations into visualizations by establishing graphical parameters to create Views of Visual Structures [Card et al., 1999; Jacko and Sears, 2002]." 

In other words it is the modification of the view position of the viewer (or in general the modification of viewing parameters), thus enhancing the visual perception.

There are three common view transformations :
* Location Probes : Usage of Location in the visual structures to reveal additional info
* Viewpoint control : Moving the viewpoint to create visualisation : Pan,zoom,clip the viewpoint.
* Distortion : Creating a focus area and context area.

[[Image:filmfinder_sm.gif|center|400px|thumb| This is a software which support users to search for films and it includes the techniques above [Waloszek, 2008] FilmFinder]]

==References==

*[Card et al., 1999] Stuart K. Card, Jock D. Mackinlay, and Ben Schneiderman. ''Readings in Information Visualization. Using Vision to Think.''Morgan Kaufman Publ Inc, San Diego, 1990.
* [Dürsteler, 2005] Juan C. Dürsteler, Web Content Mining Visualisation. Created at: November 7. http://www.infovis.net/printMag.php?num=175&lang=2.
* [Ignatius and Senay, 1999] Ignatius Eve, and Senay Hikmet. Data,vocabulary,marks,composition rules and visual perception rules. Created at: 1999. http://cose.math.bas.bg/Sci_Visualization/visConcepts/concepts/marks.htm.
*[Jacko and Sears, 2002] Julie A. Jacko, and Andrew Sears.''The Human-computer Interaction Handbook: Fundamentals, Evolving Technologies.''Lawrence Erlbaum Assoc in, NY, 2002.
* [Munzner, 2000] Tamara Munzner, Interactive Visualization of Large Graphs and Networks. Ph.D. dissertation, Stanford University. June 2000, http://graphics.stanford.edu/papers/munzner_thesis/.
* [Waloszek, 2008] Gerd Waloszek, SAP AG, SAP User Experience,Selecting Objects By Attributes – Part II. Created at: October 3. http://www.sapdesignguild.org/.../attributes_2.asp.
* [Dourish et al,2003] Paul Dourish, Alfred Kobsa, Gloria Mark, David Redmiles. Information Visualization Research. http://www.isr.uci.edu/research-visualization.html, visited June 2003

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01 - Aufgabe 1 - Visual Encoding

2008-11-26T21:43:01Z

UE-InfoVis0809 0427537:

= Visual Encoding =

==Introduction==

Firstly it's a must to mention that visual representations of information has some unsolved problems as well as advantages. 

"The visual display of information allows people to become more easily aware of essential facts, to quickly see reqularities and outliers in data, and therefore to develop a deeper understanding of data."[Dourish et al,2003]

Visual representations are widely used not only in business companies, universities, newspapers, etc.. ,but also in daily life these representations are everywhere around us. In this point it comes into question how the visualizations should be built up, to make the visual representations perceptible. Visual encoding and it's techniques help us with this, they are the guide of converting the data into a visual form. 

== Definition ==

Visual encoding aims to represent data in a form that we all can perceive and it consists of some techniques to convert the data into a perceptible form. Thus enabling us to make visualization on any kind of display. For a visualization we need graphical elements to show the syntax of what we mean. 

"Visual encoding is the set of techniques enabling the representation of data on a screen or on paper. It comprises of the use of shapes, colours, areas and other visual variables that make it possible to associate data variables to graphic variables [Dürsteler, 2005]." 

"Visual encodings are mappings of information to display elements [Munzner, 2000]".

== Techniques of Visual Encoding ==

"The fundamental substrate of visualizations is spatial position. Marks such as points, lines, or area-covering elements can be placed on this substrate. These marks can carry additional information independent of their spatial position, such as size, greyscale luminance (brightness) value, surface texture density, color hue, color saturation, curvature, angle, and shape [Munzner, 2000]".

Six kinds of Visual Encoding:

* Space
* Marks
* Connections & Enclosures
* Retinal Properties
* Temporal Encoding
* Viewpoint Transformation

=== Space ===

When you think about an empty paper as the beginning of a visualisation, the space between some possible object is one of the most powerful aspects to give something an important note. It is the space where data is represented in a visualization.

=== Marks ===

Marks are the objects which is needed to represent the data in a visualization, that the data is into a perceptible form. Thus making the perception of the visual representation easier.

"Marks are the visible things that occur in space [Card et al., 1999]." 

"Marks are simply any graphical symbol visible on a display medium [Ignatius and Senay, 1999]." 

There are four types of simple Marks :
* Points
* Lines
* Areas
* Volumes

=== Connections & enclosures ===

Connections and enclosures build the important dependencies between the objects (marks). Connections show a relationship between objects, while enclosures can also indicate related objects.

=== Retinal properties ===

Simply retinal properties are all those properties of marks which have something to do with human eye perception. Thus describing how objects (marks) look like.

"A retinal encoding is any variation of the marks that the retina of the eye can perceive besides position [Ignatius and Senay, 1999]." 

"Retinal properties are the informations that are carried by marks, such as crispness, shape, resolution, transperancy, color(value,hue & saturation), grayscale [Munzner, 2000]." 

[[Image:retinal.JPG|center|400px|thumb|[Card et al., 1999] Retinal properties]]

=== Temporal encoding ===

A temporal encoding shows how the marks' properties vary over time. 

"It's the encoding which depends on the temporal changes of marks (mark position and their retinal properties) [Ignatius and Senay, 1999]".

=== Viewpoint transformations ===

"Viewpoint transformations modify interactively and augment Visual Structures to turn static presentations into visualizations by establishing graphical parameters to create Views of Visual Structures [Card et al., 1999; Jacko and Sears, 2002]." 

In other words it is the modification of the view position of the viewer (or in general the modification of viewing parameters), thus enhancing the visual perception.

There are three common view transformations :
* Location Probes : Usage of Location in the visual structures to reveal additional info
* Viewpoint control : Moving the viewpoint to create visualisation : Pan,zoom,clip the viewpoint.
* Distortion : Creating a focus area and context area.

[[Image:filmfinder_sm.gif|center|400px|thumb|[Waloszek, 2008] FilmFinder]]

==References==

*[Card et al., 1999] Stuart K. Card, Jock D. Mackinlay, and Ben Schneiderman. ''Readings in Information Visualization. Using Vision to Think.''Morgan Kaufman Publ Inc, San Diego, 1990.
* [Dürsteler, 2005] Juan C. Dürsteler, Web Content Mining Visualisation. Created at: November 7. http://www.infovis.net/printMag.php?num=175&lang=2.
* [Ignatius and Senay, 1999] Ignatius Eve, and Senay Hikmet. Data,vocabulary,marks,composition rules and visual perception rules. Created at: 1999. http://cose.math.bas.bg/Sci_Visualization/visConcepts/concepts/marks.htm.
*[Jacko and Sears, 2002] Julie A. Jacko, and Andrew Sears.''The Human-computer Interaction Handbook: Fundamentals, Evolving Technologies.''Lawrence Erlbaum Assoc in, NY, 2002.
* [Munzner, 2000] Tamara Munzner, Interactive Visualization of Large Graphs and Networks. Ph.D. dissertation, Stanford University. June 2000, http://graphics.stanford.edu/papers/munzner_thesis/.
* [Waloszek, 2008] Gerd Waloszek, SAP AG, SAP User Experience,Selecting Objects By Attributes – Part II. Created at: October 3. http://www.sapdesignguild.org/.../attributes_2.asp.
* [Dourish et al,2003] Paul Dourish, Alfred Kobsa, Gloria Mark, David Redmiles. Information Visualization Research. http://www.isr.uci.edu/research-visualization.html, visited June 2003

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01 - Aufgabe 1 - Visual Encoding

2008-11-26T21:39:36Z

UE-InfoVis0809 0427537: advantage of visual representations added

= Visual Encoding =

==Introduction==

Firstly it's a must to mention that visual representations of information has some unsolved problems as well as advantages. 
"The visual display of information allows people to become more easily aware of essential facts, to quickly see regularities and outliers in data, and therefore to develop a deeper understanding of data." [Dourish et al,2003]

Visual representations are widely used not only in business companies, universities, newspapers, etc.. ,but also in daily life these representations are everywhere around us. In this point it comes into question how the visualizations should be built up, to make the visual representations perceptible. Visual encoding and it's techniques help us with this, they are the guide of converting the data into a visual form. 

== Definition ==

Visual encoding aims to represent data in a form that we all can perceive and it consists of some techniques to convert the data into a perceptible form. Thus enabling us to make visualization on any kind of display. For a visualization we need graphical elements to show the syntax of what we mean. 

"Visual encoding is the set of techniques enabling the representation of data on a screen or on paper. It comprises of the use of shapes, colours, areas and other visual variables that make it possible to associate data variables to graphic variables [Dürsteler, 2005]." 

"Visual encodings are mappings of information to display elements [Munzner, 2000]".

== Techniques of Visual Encoding ==

"The fundamental substrate of visualizations is spatial position. Marks such as points, lines, or area-covering elements can be placed on this substrate. These marks can carry additional information independent of their spatial position, such as size, greyscale luminance (brightness) value, surface texture density, color hue, color saturation, curvature, angle, and shape [Munzner, 2000]".

Six kinds of Visual Encoding:

* Space
* Marks
* Connections & Enclosures
* Retinal Properties
* Temporal Encoding
* Viewpoint Transformation

=== Space ===

When you think about an empty paper as the beginning of a visualisation, the space between some possible object is one of the most powerful aspects to give something an important note. It is the space where data is represented in a visualization.

=== Marks ===

Marks are the objects which is needed to represent the data in a visualization, that the data is into a perceptible form. Thus making the perception of the visual representation easier.

"Marks are the visible things that occur in space [Card et al., 1999]." 

"Marks are simply any graphical symbol visible on a display medium [Ignatius and Senay, 1999]." 

There are four types of simple Marks :
* Points
* Lines
* Areas
* Volumes

=== Connections & enclosures ===

Connections and enclosures build the important dependencies between the objects (marks). Connections show a relationship between objects, while enclosures can also indicate related objects.

=== Retinal properties ===

Simply retinal properties are all those properties of marks which have something to do with human eye perception. Thus describing how objects (marks) look like.

"A retinal encoding is any variation of the marks that the retina of the eye can perceive besides position [Ignatius and Senay, 1999]." 

"Retinal properties are the informations that are carried by marks, such as crispness, shape, resolution, transperancy, color(value,hue & saturation), grayscale [Munzner, 2000]." 

[[Image:retinal.JPG|center|400px|thumb|[Card et al., 1999] Retinal properties]]

=== Temporal encoding ===

A temporal encoding shows how the marks' properties vary over time. 

"It's the encoding which depends on the temporal changes of marks (mark position and their retinal properties) [Ignatius and Senay, 1999]".

=== Viewpoint transformations ===

"Viewpoint transformations modify interactively and augment Visual Structures to turn static presentations into visualizations by establishing graphical parameters to create Views of Visual Structures [Card et al., 1999; Jacko and Sears, 2002]." 

In other words it is the modification of the view position of the viewer (or in general the modification of viewing parameters), thus enhancing the visual perception.

There are three common view transformations :
* Location Probes : Usage of Location in the visual structures to reveal additional info
* Viewpoint control : Moving the viewpoint to create visualisation : Pan,zoom,clip the viewpoint.
* Distortion : Creating a focus area and context area.

[[Image:filmfinder_sm.gif|center|400px|thumb|[Waloszek, 2008] FilmFinder]]

==References==

*[Card et al., 1999] Stuart K. Card, Jock D. Mackinlay, and Ben Schneiderman. ''Readings in Information Visualization. Using Vision to Think.''Morgan Kaufman Publ Inc, San Diego, 1990.
* [Dürsteler, 2005] Juan C. Dürsteler, Web Content Mining Visualisation. Created at: November 7. http://www.infovis.net/printMag.php?num=175&lang=2.
* [Ignatius and Senay, 1999] Ignatius Eve, and Senay Hikmet. Data,vocabulary,marks,composition rules and visual perception rules. Created at: 1999. http://cose.math.bas.bg/Sci_Visualization/visConcepts/concepts/marks.htm.
*[Jacko and Sears, 2002] Julie A. Jacko, and Andrew Sears.''The Human-computer Interaction Handbook: Fundamentals, Evolving Technologies.''Lawrence Erlbaum Assoc in, NY, 2002.
* [Munzner, 2000] Tamara Munzner, Interactive Visualization of Large Graphs and Networks. Ph.D. dissertation, Stanford University. June 2000, http://graphics.stanford.edu/papers/munzner_thesis/.
* [Waloszek, 2008] Gerd Waloszek, SAP AG, SAP User Experience,Selecting Objects By Attributes – Part II. Created at: October 3. http://www.sapdesignguild.org/.../attributes_2.asp.
* [Dourish et al,2003] Paul Dourish, Alfred Kobsa, Gloria Mark, David Redmiles. Information Visualization Research. http://www.isr.uci.edu/research-visualization.html, visited June 2003

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01 - Aufgabe 1 - Visual Encoding

2008-11-26T21:10:58Z

UE-InfoVis0809 0427537: introduction added.Why do we need visual encoding ?

= Visual Encoding =

==Introduction==

Visual representations are widely used not only in business companies, universities, newspapers, etc.. ,but also in daily life these representations are everywhere around us. In this point it comes into question how visualizations should be builded up, to make the visual representation perceptible. Visual encoding and it's techniques help us with this, they are the guide of converting the data into a visual form. 

== Definition ==

Visual encoding aims to represent data in a form that we all can perceive and it consists of some techniques to convert the data into a perceptible form. Thus enabling us to make visualization on any kind of display. For a visualization we need graphical elements to show the syntax of what we mean. 

"Visual encoding is the set of techniques enabling the representation of data on a screen or on paper. It comprises of the use of shapes, colours, areas and other visual variables that make it possible to associate data variables to graphic variables [Dürsteler, 2005]." 

"Visual encodings are mappings of information to display elements [Munzner, 2000]".

== Techniques of Visual Encoding ==

"The fundamental substrate of visualizations is spatial position. Marks such as points, lines, or area-covering elements can be placed on this substrate. These marks can carry additional information independent of their spatial position, such as size, greyscale luminance (brightness) value, surface texture density, color hue, color saturation, curvature, angle, and shape [Munzner, 2000]".

Six kinds of Visual Encoding:

* Space
* Marks
* Connections & Enclosures
* Retinal Properties
* Temporal Encoding
* Viewpoint Transformation

=== Space ===

When you think about an empty paper as the beginning of a visualisation, the space between some possible object is one of the most powerful aspects to give something an important note. It is the space where data is represented in a visualization.

=== Marks ===

Marks are the objects which is needed to represent the data in a visualization, that the data is into a perceptible form. Thus making the perception of the visual representation easier.

"Marks are the visible things that occur in space [Card et al., 1999]." 

"Marks are simply any graphical symbol visible on a display medium [Ignatius and Senay, 1999]." 

There are four types of simple Marks :
* Points
* Lines
* Areas
* Volumes

=== Connections & enclosures ===

Connections and enclosures build the important dependencies between the objects (marks). Connections show a relationship between objects, while enclosures can also indicate related objects.

=== Retinal properties ===

Simply retinal properties are all those properties of marks which have something to do with human eye perception. Thus describing how objects (marks) look like.

"A retinal encoding is any variation of the marks that the retina of the eye can perceive besides position [Ignatius and Senay, 1999]." 

"Retinal properties are the informations that are carried by marks, such as crispness, shape, resolution, transperancy, color(value,hue & saturation), grayscale [Munzner, 2000]." 

[[Image:retinal.JPG|center|400px|thumb|[Card et al., 1999] Retinal properties]]

=== Temporal encoding ===

A temporal encoding shows how the marks' properties vary over time. 

"It's the encoding which depends on the temporal changes of marks (mark position and their retinal properties) [Ignatius and Senay, 1999]".

=== Viewpoint transformations ===

"Viewpoint transformations modify interactively and augment Visual Structures to turn static presentations into visualizations by establishing graphical parameters to create Views of Visual Structures [Card et al., 1999; Jacko and Sears, 2002]." 

In other words it is the modification of the view position of the viewer (or in general the modification of viewing parameters), thus enhancing the visual perception.

There are three common view transformations :
* Location Probes : Usage of Location in the visual structures to reveal additional info
* Viewpoint control : Moving the viewpoint to create visualisation : Pan,zoom,clip the viewpoint.
* Distortion : Creating a focus area and context area.

[[Image:filmfinder_sm.gif|center|400px|thumb|[Waloszek, 2008] FilmFinder]]

==References==

*[Card et al., 1999] Stuart K. Card, Jock D. Mackinlay, and Ben Schneiderman. ''Readings in Information Visualization. Using Vision to Think.''Morgan Kaufman Publ Inc, San Diego, 1990.
* [Dürsteler, 2005] Juan C. Dürsteler, Web Content Mining Visualisation. Created at: November 7. http://www.infovis.net/printMag.php?num=175&lang=2.
* [Ignatius and Senay, 1999] Ignatius Eve, and Senay Hikmet. Data,vocabulary,marks,composition rules and visual perception rules. Created at: 1999. http://cose.math.bas.bg/Sci_Visualization/visConcepts/concepts/marks.htm.
*[Jacko and Sears, 2002] Julie A. Jacko, and Andrew Sears.''The Human-computer Interaction Handbook: Fundamentals, Evolving Technologies.''Lawrence Erlbaum Assoc in, NY, 2002.
* [Munzner, 2000] Tamara Munzner, Interactive Visualization of Large Graphs and Networks. Ph.D. dissertation, Stanford University. June 2000, http://graphics.stanford.edu/papers/munzner_thesis/.
* [Waloszek, 2008] Gerd Waloszek, SAP AG, SAP User Experience,Selecting Objects By Attributes – Part II. Created at: October 3. http://www.sapdesignguild.org/.../attributes_2.asp.

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01 - Aufgabe 1 - Visual Encoding

2008-11-26T20:38:35Z

UE-InfoVis0809 0427537: retinal properties definition with own words..

= Visual Encoding =

== Definition ==

Visual encoding aims to represent data in a form that we all can perceive and it consists of some techniques to convert the data into a perceptible form. Thus enabling us to make visualization on any kind of display. For a visualization we need graphical elements to show the syntax of what we mean. 

"Visual encoding is the set of techniques enabling the representation of data on a screen or on paper. It comprises of the use of shapes, colours, areas and other visual variables that make it possible to associate data variables to graphic variables [Dürsteler, 2005]." 

"Visual encodings are mappings of information to display elements [Munzner, 2000]".

== Techniques of Visual Encoding ==

"The fundamental substrate of visualizations is spatial position. Marks such as points, lines, or area-covering elements can be placed on this substrate. These marks can carry additional information independent of their spatial position, such as size, greyscale luminance (brightness) value, surface texture density, color hue, color saturation, curvature, angle, and shape [Munzner, 2000]".

Six kinds of Visual Encoding:

* Space
* Marks
* Connections & Enclosures
* Retinal Properties
* Temporal Encoding
* Viewpoint Transformation

=== Space ===

When you think about an empty paper as the beginning of a visualisation, the space between some possible object is one of the most powerful aspects to give something an important note. It is the space where data is represented in a visualization.

=== Marks ===

Marks are the objects which is needed to represent the data in a visualization, that the data is into a perceptible form. Thus making the perception of the visual representation easier.

"Marks are the visible things that occur in space [Card et al., 1999]." 

"Marks are simply any graphical symbol visible on a display medium [Ignatius and Senay, 1999]." 

There are four types of simple Marks :
* Points
* Lines
* Areas
* Volumes

=== Connections & enclosures ===

Connections and enclosures build the important dependencies between the objects (marks). Connections show a relationship between objects, while enclosures can also indicate related objects.

=== Retinal properties ===

Simply retinal properties are all those properties of marks which have something to do with human eye perception. Thus describing how objects (marks) look like.

"A retinal encoding is any variation of the marks that the retina of the eye can perceive besides position [Ignatius and Senay, 1999]." 

"Retinal properties are the informations that are carried by marks, such as crispness, shape, resolution, transperancy, color(value,hue & saturation), grayscale [Munzner, 2000]." 

[[Image:retinal.JPG|center|400px|thumb|[Card et al., 1999] Retinal properties]]

=== Temporal encoding ===

A temporal encoding shows how the marks' properties vary over time. 

"It's the encoding which depends on the temporal changes of marks (mark position and their retinal properties) [Ignatius and Senay, 1999]".

=== Viewpoint transformations ===

"Viewpoint transformations modify interactively and augment Visual Structures to turn static presentations into visualizations by establishing graphical parameters to create Views of Visual Structures [Card et al., 1999; Jacko and Sears, 2002]." 

In other words it is the modification of the view position of the viewer (or in general the modification of viewing parameters), thus enhancing the visual perception.

There are three common view transformations :
* Location Probes : Usage of Location in the visual structures to reveal additional info
* Viewpoint control : Moving the viewpoint to create visualisation : Pan,zoom,clip the viewpoint.
* Distortion : Creating a focus area and context area.

[[Image:filmfinder_sm.gif|center|400px|thumb|[Waloszek, 2008] FilmFinder]]

==References==

*[Card et al., 1999] Stuart K. Card, Jock D. Mackinlay, and Ben Schneiderman. ''Readings in Information Visualization. Using Vision to Think.''Morgan Kaufman Publ Inc, San Diego, 1990.
* [Dürsteler, 2005] Juan C. Dürsteler, Web Content Mining Visualisation. Created at: November 7. http://www.infovis.net/printMag.php?num=175&lang=2.
* [Ignatius and Senay, 1999] Ignatius Eve, and Senay Hikmet. Data,vocabulary,marks,composition rules and visual perception rules. Created at: 1999. http://cose.math.bas.bg/Sci_Visualization/visConcepts/concepts/marks.htm.
*[Jacko and Sears, 2002] Julie A. Jacko, and Andrew Sears.''The Human-computer Interaction Handbook: Fundamentals, Evolving Technologies.''Lawrence Erlbaum Assoc in, NY, 2002.
* [Munzner, 2000] Tamara Munzner, Interactive Visualization of Large Graphs and Networks. Ph.D. dissertation, Stanford University. June 2000, http://graphics.stanford.edu/papers/munzner_thesis/.
* [Waloszek, 2008] Gerd Waloszek, SAP AG, SAP User Experience,Selecting Objects By Attributes – Part II. Created at: October 3. http://www.sapdesignguild.org/.../attributes_2.asp.

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01 - Aufgabe 1 - Visual Encoding

2008-11-26T20:31:15Z

UE-InfoVis0809 0427537: marks definition added, own words(not citations)

= Visual Encoding =

== Definition ==

Visual encoding aims to represent data in a form that we all can perceive and it consists of some techniques to convert the data into a perceptible form. Thus enabling us to make visualization on any kind of display. For a visualization we need graphical elements to show the syntax of what we mean. 

"Visual encoding is the set of techniques enabling the representation of data on a screen or on paper. It comprises of the use of shapes, colours, areas and other visual variables that make it possible to associate data variables to graphic variables [Dürsteler, 2005]." 

"Visual encodings are mappings of information to display elements [Munzner, 2000]".

== Techniques of Visual Encoding ==

"The fundamental substrate of visualizations is spatial position. Marks such as points, lines, or area-covering elements can be placed on this substrate. These marks can carry additional information independent of their spatial position, such as size, greyscale luminance (brightness) value, surface texture density, color hue, color saturation, curvature, angle, and shape [Munzner, 2000]".

Six kinds of Visual Encoding:

* Space
* Marks
* Connections & Enclosures
* Retinal Properties
* Temporal Encoding
* Viewpoint Transformation

=== Space ===

When you think about an empty paper as the beginning of a visualisation, the space between some possible object is one of the most powerful aspects to give something an important note. It is the space where data is represented in a visualization.

=== Marks ===
Marks are the objects which is needed to represent the data in a visualization, that the data is into a perceptible form. Thus making the perception of the visual representation easier.

"Marks are the visible things that occur in space [Card et al., 1999]." 

"Marks are simply any graphical symbol visible on a display medium [Ignatius and Senay, 1999]." 

There are four types of simple Marks :
* Points
* Lines
* Areas
* Volumes

=== Connections & enclosures ===

Connections and enclosures build the important dependencies between the objects (marks). Connections show a relationship between objects, while enclosures can also indicate related objects.

=== Retinal properties ===

"A retinal encoding is any variation of the marks that the retina of the eye can perceive besides position [Ignatius and Senay, 1999]." 

"They are the informations that are carried by marks, such as crispness, shape, resolution, transperancy, color(value,hue & saturation), grayscale [Munzner, 2000]." 

Retinal properties describe how objects (marks) look like.

[[Image:retinal.JPG|center|400px|thumb|[Card et al., 1999] Retinal properties]]

=== Temporal encoding ===

A temporal encoding shows how the marks' properties vary over time. 

"It's the encoding which depends on the temporal changes of marks (mark position and their retinal properties) [Ignatius and Senay, 1999]".

=== Viewpoint transformations ===

"Viewpoint transformations modify interactively and augment Visual Structures to turn static presentations into visualizations by establishing graphical parameters to create Views of Visual Structures [Card et al., 1999; Jacko and Sears, 2002]." 

In other words it is the modification of the view position of the viewer (or in general the modification of viewing parameters), thus enhancing the visual perception.

There are three common view transformations :
* Location Probes : Usage of Location in the visual structures to reveal additional info
* Viewpoint control : Moving the viewpoint to create visualisation : Pan,zoom,clip the viewpoint.
* Distortion : Creating a focus area and context area.

[[Image:filmfinder_sm.gif|center|400px|thumb|[Waloszek, 2008] FilmFinder]]

==References==

*[Card et al., 1999] Stuart K. Card, Jock D. Mackinlay, and Ben Schneiderman. ''Readings in Information Visualization. Using Vision to Think.''Morgan Kaufman Publ Inc, San Diego, 1990.
* [Dürsteler, 2005] Juan C. Dürsteler, Web Content Mining Visualisation. Created at: November 7. http://www.infovis.net/printMag.php?num=175&lang=2.
* [Ignatius and Senay, 1999] Ignatius Eve, and Senay Hikmet. Data,vocabulary,marks,composition rules and visual perception rules. Created at: 1999. http://cose.math.bas.bg/Sci_Visualization/visConcepts/concepts/marks.htm.
*[Jacko and Sears, 2002] Julie A. Jacko, and Andrew Sears.''The Human-computer Interaction Handbook: Fundamentals, Evolving Technologies.''Lawrence Erlbaum Assoc in, NY, 2002.
* [Munzner, 2000] Tamara Munzner, Interactive Visualization of Large Graphs and Networks. Ph.D. dissertation, Stanford University. June 2000, http://graphics.stanford.edu/papers/munzner_thesis/.
* [Waloszek, 2008] Gerd Waloszek, SAP AG, SAP User Experience,Selecting Objects By Attributes – Part II. Created at: October 3. http://www.sapdesignguild.org/.../attributes_2.asp.

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01 - Aufgabe 1 - Visual Encoding

2008-11-26T20:23:03Z

UE-InfoVis0809 0427537: Citations are formed in the right way..

= Visual Encoding =

== Definition ==

Visual encoding aims to represent data in a form that we all can perceive and it consists of some techniques to convert the data into a perceptible form. Thus enabling us to make visualization on any kind of display. For a visualization we need graphical elements to show the syntax of what we mean. 

"Visual encoding is the set of techniques enabling the representation of data on a screen or on paper. It comprises of the use of shapes, colours, areas and other visual variables that make it possible to associate data variables to graphic variables [Dürsteler, 2005]." 

"Visual encodings are mappings of information to display elements [Munzner, 2000]".

== Techniques of Visual Encoding ==

"The fundamental substrate of visualizations is spatial position. Marks such as points, lines, or area-covering elements can be placed on this substrate. These marks can carry additional information independent of their spatial position, such as size, greyscale luminance (brightness) value, surface texture density, color hue, color saturation, curvature, angle, and shape [Munzner, 2000]".

Six kinds of Visual Encoding:

* Space
* Marks
* Connections & Enclosures
* Retinal Properties
* Temporal Encoding
* Viewpoint Transformation

=== Space ===

When you think about an empty paper as the beginning of a visualisation, the space between some possible object is one of the most powerful aspects to give something an important note. It is the space where data is represented in a visualization.

=== Marks ===

"Marks are the visible things that occur in space [Card et al., 1999]." 

"Marks are simply any graphical symbol visible on a display medium [Ignatius and Senay, 1999]." 

There are four types of simple Marks :
* Points
* Lines
* Areas
* Volumes

=== Connections & enclosures ===
Connections and enclosures build the important dependencies between the objects (marks). Connections show a relationship between objects, while enclosures can also indicate related objects.

=== Retinal properties ===
"A retinal encoding is any variation of the marks that the retina of the eye can perceive besides position [Ignatius and Senay, 1999]." 

"They are the informations that are carried by marks, such as crispness, shape, resolution, transperancy, color(value,hue & saturation), grayscale [Munzner, 2000]." 

Retinal properties describe how objects (marks) look like.

[[Image:retinal.JPG|center|400px|thumb|[Card et al., 1999] Retinal properties]]

=== Temporal encoding ===
A temporal encoding shows how the marks' properties vary over time. 

"It's the encoding which depends on the temporal changes of marks (mark position and their retinal properties) [Ignatius and Senay, 1999]".

=== Viewpoint transformations ===

"Viewpoint transformations modify interactively and augment Visual Structures to turn static presentations into visualizations by establishing graphical parameters to create Views of Visual Structures [Card et al., 1999; Jacko and Sears, 2002]." 

In other words it is the modification of the view position of the viewer (or in general the modification of viewing parameters), thus enhancing the visual perception.

There are three common view transformations :
* Location Probes : Usage of Location in the visual structures to reveal additional info
* Viewpoint control : Moving the viewpoint to create visualisation : Pan,zoom,clip the viewpoint.
* Distortion : Creating a focus area and context area.

[[Image:filmfinder_sm.gif|center|400px|thumb|[Waloszek, 2008] FilmFinder]]

==References==
*[Card et al., 1999] Stuart K. Card, Jock D. Mackinlay, and Ben Schneiderman. ''Readings in Information Visualization. Using Vision to Think.''Morgan Kaufman Publ Inc, San Diego, 1990.
* [Dürsteler, 2005] Juan C. Dürsteler, Web Content Mining Visualisation. Created at: November 7. http://www.infovis.net/printMag.php?num=175&lang=2.
* [Ignatius and Senay, 1999] Ignatius Eve, and Senay Hikmet. Data,vocabulary,marks,composition rules and visual perception rules. Created at: 1999. http://cose.math.bas.bg/Sci_Visualization/visConcepts/concepts/marks.htm.
*[Jacko and Sears, 2002] Julie A. Jacko, and Andrew Sears.''The Human-computer Interaction Handbook: Fundamentals, Evolving Technologies.''Lawrence Erlbaum Assoc in, NY, 2002.
* [Munzner, 2000] Tamara Munzner, Interactive Visualization of Large Graphs and Networks. Ph.D. dissertation, Stanford University. June 2000, http://graphics.stanford.edu/papers/munzner_thesis/.
* [Waloszek, 2008] Gerd Waloszek, SAP AG, SAP User Experience,Selecting Objects By Attributes – Part II. Created at: October 3. http://www.sapdesignguild.org/.../attributes_2.asp.

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01 - Aufgabe 1 - Visual Encoding

2008-11-26T20:15:30Z

UE-InfoVis0809 0427537: new definitions are added (no citations,own sentences)

= Visual Encoding =

== Definition ==

Visual encoding aims to represent data in a form that we all can perceive and it consists of some techniques to convert the data into a perceptible form. Thus enabling us to make visualization on any kind of display. For a visualization we need graphical elements to show the syntax of what we mean. 

Visual encoding is the set of techniques enabling the representation of data on a screen or on paper. It comprises of the use of shapes, colours, areas and other visual variables that make it possible to associate data variables to graphic variables [Dürsteler, 2005]. 

Visual encodings are mappings of information to display elements [Munzner, 2000].

== Techniques of Visual Encoding ==

The fundamental substrate of visualizations is spatial position. Marks such as points, lines, or area-covering elements can be placed on this substrate. These marks can carry additional information independent of their spatial position, such as size, greyscale luminance (brightness) value, surface texture density, color hue, color saturation, curvature, angle, and shape [Munzner, 2000].

Six kinds of Visual Encoding:

* Space
* Marks
* Connections & Enclosures
* Retinal Properties
* Temporal Encoding
* Viewpoint Transformation

=== Space ===
When you think about an empty paper as the beginning of a visualisation, the space between some possible object is one of the most powerful aspects to give something an important note. It is the space where data is represented in a visualization.

=== Marks ===
Marks are the visible things that occur in space [Card et al., 1999]. 

Marks are simply any graphical symbol visible on a display medium [Ignatius and Senay, 1999]. 

There are four types of simple Marks :
* Points
* Lines
* Areas
* Volumes

=== Connections & enclosures ===
Connections and enclosures build the important dependencies between the objects (marks). Connections show a relationship between objects, while enclosures can also indicate related objects.

=== Retinal properties ===
A retinal encoding is any variation of the marks that the retina of the eye can perceive besides position [Ignatius and Senay, 1999]. 

They are the informations that are carried by marks, such as crispness, shape, resolution, transperancy, color(value,hue & saturation), grayscale [Munzner, 2000]. 

Retinal properties describe how objects (marks) look like.

[[Image:retinal.JPG|center|400px|thumb|[Card et al., 1999] Retinal properties]]

=== Temporal encoding ===
A temporal encoding shows how the marks' properties vary over time. 

It's the encoding which depends on the temporal changes of marks (mark position and their retinal properties) [Ignatius and Senay, 1999].

=== Viewpoint transformations ===

Viewpoint transformations modify interactively and augment Visual Structures to turn static presentations into visualizations by establishing graphical parameters to create Views of Visual Structures [Card et al., 1999; Jacko and Sears, 2002]. 

In other words it is the modification of the view position of the viewer (or in general the modification of viewing parameters), thus enhancing the visual perception.

There are three common view transformations :
* Location Probes : Usage of Location in the visual structures to reveal additional info
* Viewpoint control : Moving the viewpoint to create visualisation : Pan,zoom,clip the viewpoint.
* Distortion : Creating a focus area and context area.

[[Image:filmfinder_sm.gif|center|400px|thumb|[Waloszek, 2008] FilmFinder]]

==References==
*[Card et al., 1999] Stuart K. Card, Jock D. Mackinlay, and Ben Schneiderman. ''Readings in Information Visualization. Using Vision to Think.''Morgan Kaufman Publ Inc, San Diego, 1990.
* [Dürsteler, 2005] Juan C. Dürsteler, Web Content Mining Visualisation. Created at: November 7. http://www.infovis.net/printMag.php?num=175&lang=2.
* [Ignatius and Senay, 1999] Ignatius Eve, and Senay Hikmet. Data,vocabulary,marks,composition rules and visual perception rules. Created at: 1999. http://cose.math.bas.bg/Sci_Visualization/visConcepts/concepts/marks.htm.
*[Jacko and Sears, 2002] Julie A. Jacko, and Andrew Sears.''The Human-computer Interaction Handbook: Fundamentals, Evolving Technologies.''Lawrence Erlbaum Assoc in, NY, 2002.
* [Munzner, 2000] Tamara Munzner, Interactive Visualization of Large Graphs and Networks. Ph.D. dissertation, Stanford University. June 2000, http://graphics.stanford.edu/papers/munzner_thesis/.
* [Waloszek, 2008] Gerd Waloszek, SAP AG, SAP User Experience,Selecting Objects By Attributes – Part II. Created at: October 3. http://www.sapdesignguild.org/.../attributes_2.asp.

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01 - Aufgabe 1 - Visual Encoding

2008-11-26T19:47:06Z

UE-InfoVis0809 0427537: All citations are separated.

= Visual Encoding =

== Definition ==
For a visuzalization we need graphical elements to show the syntax of what we mean. 

Visual encoding is the set of techniques enabling the representation of data on a screen or on paper. It comprises of the use of shapes, colours, areas and other visual variables that make it possible to associate data variables to graphic variables [Dürsteler, 2005]. 

Visual encodings are mappings of information to display elements [Munzner, 2000].

== Techniques of Visual Encoding ==

The fundamental substrate of visualizations is spatial position. Marks such as points, lines, or area-covering elements can be placed on this substrate. These marks can carry additional information independent of their spatial position, such as size, greyscale luminance (brightness) value, surface texture density, color hue, color saturation, curvature, angle, and shape [Munzner, 2000].

Six kinds of Visual Encoding:

* Space
* Marks
* Connections & Enclosures
* Retinal Properties
* Temporal Encoding
* Viewpoint Transformation

=== Space ===
When you think about an empty paper as the beginning of a visualisation, the space between some possible object is one of the most powerful aspects to give something an important note.

=== Marks ===
Marks are the visible things that occur in space [Card et al., 1999]. 

Marks are simply any graphical symbol visible on a display medium [Ignatius and Senay, 1999]. 

There are four types of simple Marks :
* Points
* Lines
* Areas
* Volumes

=== Connections & enclosures ===
Connections and enclosures build the important dependencies between the objects (marks). Connections show a relationship between objects, while enclosures can also indicate related objects.

=== Retinal properties ===
A retinal encoding is any variation of the marks that the retina of the eye can perceive besides position [Ignatius and Senay, 1999]. 

They are the informations that are carried by marks, such as crispness, shape, resolution, transperancy, color(value,hue & saturation), grayscale [Munzner, 2000]. 

Retinal properties describe how objects (marks) look like.

[[Image:retinal.JPG|center|400px|thumb|[Card et al., 1999] Retinal properties]]

=== Temporal encoding ===
A temporal encoding shows how the marks' properties vary over time. 

It's the encoding which depends on the temporal changes of marks (mark position and their retinal properties) [Ignatius and Senay, 1999].

=== Viewpoint transformations ===

Viewpoint transformations modify interactively and augment Visual Structures to turn static presentations into visualizations by establishing graphical parameters to create Views of Visual Structures [Card et al., 1999; Jacko and Sears, 2002]. 

In other words it is the modification of the view position of the viewer (or in general the modification of viewing parameters), thus enhancing the visual perception.

There are three common view transformations :
* Location Probes : Usage of Location in the visual structures to reveal additional info
* Viewpoint control : Moving the viewpoint to create visualisation : Pan,zoom,clip the viewpoint.
* Distortion : Creating a focus area and context area.

[[Image:filmfinder_sm.gif|center|400px|thumb|[Waloszek, 2008] FilmFinder]]

==References==
*[Card et al., 1999] Stuart K. Card, Jock D. Mackinlay, and Ben Schneiderman. ''Readings in Information Visualization. Using Vision to Think.''Morgan Kaufman Publ Inc, San Diego, 1990.
* [Dürsteler, 2005] Juan C. Dürsteler, Web Content Mining Visualisation. Created at: November 7. http://www.infovis.net/printMag.php?num=175&lang=2.
* [Ignatius and Senay, 1999] Ignatius Eve, and Senay Hikmet. Data,vocabulary,marks,composition rules and visual perception rules. Created at: 1999. http://cose.math.bas.bg/Sci_Visualization/visConcepts/concepts/marks.htm.
*[Jacko and Sears, 2002] Julie A. Jacko, and Andrew Sears.''The Human-computer Interaction Handbook: Fundamentals, Evolving Technologies.''Lawrence Erlbaum Assoc in, NY, 2002.
* [Munzner, 2000] Tamara Munzner, Interactive Visualization of Large Graphs and Networks. Ph.D. dissertation, Stanford University. June 2000, http://graphics.stanford.edu/papers/munzner_thesis/.
* [Waloszek, 2008] Gerd Waloszek, SAP AG, SAP User Experience,Selecting Objects By Attributes – Part II. Created at: October 3. http://www.sapdesignguild.org/.../attributes_2.asp.

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01 - Aufgabe 1 - Visual Encoding

2008-11-26T19:43:53Z

UE-InfoVis0809 0427537:

= Visual Encoding =

== Definition ==
For a visuzalization we need graphical elements to show the syntax of what we mean. 

Visual encoding is the set of techniques enabling the representation of data on a screen or on paper. It comprises of the use of shapes, colours, areas and other visual variables that make it possible to associate data variables to graphic variables [Dürsteler, 2005]. 

Visual encodings are mappings of information to display elements [Munzner, 2000].

== Techniques of Visual Encoding ==

The fundamental substrate of visualizations is spatial position. Marks such as points, lines, or area-covering elements can be placed on this substrate. These marks can carry additional information independent of their spatial position, such as size, greyscale luminance (brightness) value, surface texture density, color hue, color saturation, curvature, angle, and shape [Munzner, 2000].

Six kinds of Visual Encoding:

* Space
* Marks
* Connections & Enclosures
* Retinal Properties
* Temporal Encoding
* Viewpoint Transformation

=== Space ===
When you think about an empty paper as the beginning of a visualisation, the space between some possible object is one of the most powerful aspects to give something an important note.

=== Marks ===
Marks are the visible things that occur in space [Card et al., 1999]. 

Marks are simply any graphical symbol visible on a display medium [Ignatius and Senay, 1999]. 

There are four types of simple Marks :
* Points
* Lines
* Areas
* Volumes

=== Connections & enclosures ===
Connections and enclosures build the important dependencies between the objects (marks). Connections show a relationship between objects, while enclosures can also indicate related objects.

=== Retinal properties ===
A retinal encoding is any variation of the marks that the retina of the eye can perceive besides position [Ignatius and Senay, 1999]. They are the informations that are carried by marks, such as crispness, shape, resolution, transperancy, color(value,hue & saturation), grayscale [Munzner, 2000].
Retinal properties describe how objects (marks) look like.

[[Image:retinal.JPG|center|400px|thumb|[Card et al., 1999] Retinal properties]]

=== Temporal encoding ===
A temporal encoding shows how the marks' properties vary over time.
It's the encoding which depends on the temporal changes of marks (mark position and their retinal properties) [Ignatius and Senay, 1999].

=== Viewpoint transformations ===

Viewpoint transformations modify interactively and augment Visual Structures to turn static presentations into visualizations by establishing graphical parameters to create Views of Visual Structures [Card et al., 1999; Jacko and Sears, 2002] in other words it is the modification of the view position of the viewer (or in general the modification of viewing parameters), thus enhancing the visual perception.

There are three common view transformations :
* Location Probes : Usage of Location in the visual structures to reveal additional info
* Viewpoint control : Moving the viewpoint to create visualisation : Pan,zoom,clip the viewpoint.
* Distortion : Creating a focus area and context area.

[[Image:filmfinder_sm.gif|center|400px|thumb|[Waloszek, 2008] FilmFinder]]

==References==
*[Card et al., 1999] Stuart K. Card, Jock D. Mackinlay, and Ben Schneiderman. ''Readings in Information Visualization. Using Vision to Think.''Morgan Kaufman Publ Inc, San Diego, 1990.
* [Dürsteler, 2005] Juan C. Dürsteler, Web Content Mining Visualisation. Created at: November 7. http://www.infovis.net/printMag.php?num=175&lang=2.
* [Ignatius and Senay, 1999] Ignatius Eve, and Senay Hikmet. Data,vocabulary,marks,composition rules and visual perception rules. Created at: 1999. http://cose.math.bas.bg/Sci_Visualization/visConcepts/concepts/marks.htm.
*[Jacko and Sears, 2002] Julie A. Jacko, and Andrew Sears.''The Human-computer Interaction Handbook: Fundamentals, Evolving Technologies.''Lawrence Erlbaum Assoc in, NY, 2002.
* [Munzner, 2000] Tamara Munzner, Interactive Visualization of Large Graphs and Networks. Ph.D. dissertation, Stanford University. June 2000, http://graphics.stanford.edu/papers/munzner_thesis/.
* [Waloszek, 2008] Gerd Waloszek, SAP AG, SAP User Experience,Selecting Objects By Attributes – Part II. Created at: October 3. http://www.sapdesignguild.org/.../attributes_2.asp.

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01 - Aufgabe 1 - Visual Encoding

2008-11-26T19:42:26Z

UE-InfoVis0809 0427537:

= Visual Encoding =

== Definition ==
For a visuzalization we need graphical elements to show the syntax of what we mean. 
 
Visual encoding is the set of techniques enabling the representation of data on a screen or on paper. It comprises of the use of shapes, colours, areas and other visual variables that make it possible to associate data variables to graphic variables [Dürsteler, 2005]. 
 
Visual encodings are mappings of information to display elements [Munzner, 2000].

== Techniques of Visual Encoding ==

The fundamental substrate of visualizations is spatial position. Marks such as points, lines, or area-covering elements can be placed on this substrate. These marks can carry additional information independent of their spatial position, such as size, greyscale luminance (brightness) value, surface texture density, color hue, color saturation, curvature, angle, and shape [Munzner, 2000].

Six kinds of Visual Encoding:

* Space
* Marks
* Connections & Enclosures
* Retinal Properties
* Temporal Encoding
* Viewpoint Transformation

=== Space ===
When you think about an empty paper as the beginning of a visualisation, the space between some possible object is one of the most powerful aspects to give something an important note.

=== Marks ===
Marks are the visible things that occur in space [Card et al., 1999]. 
 
Marks are simply any graphical symbol visible on a display medium [Ignatius and Senay, 1999]. 

There are four types of simple Marks :
* Points
* Lines
* Areas
* Volumes

=== Connections & enclosures ===
Connections and enclosures build the important dependencies between the objects (marks). Connections show a relationship between objects, while enclosures can also indicate related objects.

=== Retinal properties ===
A retinal encoding is any variation of the marks that the retina of the eye can perceive besides position [Ignatius and Senay, 1999]. They are the informations that are carried by marks, such as crispness, shape, resolution, transperancy, color(value,hue & saturation), grayscale [Munzner, 2000].
Retinal properties describe how objects (marks) look like.

[[Image:retinal.JPG|center|400px|thumb|[Card et al., 1999] Retinal properties]]

=== Temporal encoding ===
A temporal encoding shows how the marks' properties vary over time.
It's the encoding which depends on the temporal changes of marks (mark position and their retinal properties) [Ignatius and Senay, 1999].

=== Viewpoint transformations ===

Viewpoint transformations modify interactively and augment Visual Structures to turn static presentations into visualizations by establishing graphical parameters to create Views of Visual Structures [Card et al., 1999; Jacko and Sears, 2002] in other words it is the modification of the view position of the viewer (or in general the modification of viewing parameters), thus enhancing the visual perception.

There are three common view transformations :
* Location Probes : Usage of Location in the visual structures to reveal additional info
* Viewpoint control : Moving the viewpoint to create visualisation : Pan,zoom,clip the viewpoint.
* Distortion : Creating a focus area and context area.

[[Image:filmfinder_sm.gif|center|400px|thumb|[Waloszek, 2008] FilmFinder]]

==References==
*[Card et al., 1999] Stuart K. Card, Jock D. Mackinlay, and Ben Schneiderman. ''Readings in Information Visualization. Using Vision to Think.''Morgan Kaufman Publ Inc, San Diego, 1990.
* [Dürsteler, 2005] Juan C. Dürsteler, Web Content Mining Visualisation. Created at: November 7. http://www.infovis.net/printMag.php?num=175&lang=2.
* [Ignatius and Senay, 1999] Ignatius Eve, and Senay Hikmet. Data,vocabulary,marks,composition rules and visual perception rules. Created at: 1999. http://cose.math.bas.bg/Sci_Visualization/visConcepts/concepts/marks.htm.
*[Jacko and Sears, 2002] Julie A. Jacko, and Andrew Sears.''The Human-computer Interaction Handbook: Fundamentals, Evolving Technologies.''Lawrence Erlbaum Assoc in, NY, 2002.
* [Munzner, 2000] Tamara Munzner, Interactive Visualization of Large Graphs and Networks. Ph.D. dissertation, Stanford University. June 2000, http://graphics.stanford.edu/papers/munzner_thesis/.
* [Waloszek, 2008] Gerd Waloszek, SAP AG, SAP User Experience,Selecting Objects By Attributes – Part II. Created at: October 3. http://www.sapdesignguild.org/.../attributes_2.asp.

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01 - Aufgabe 1 - Visual Encoding

2008-11-26T19:38:24Z

UE-InfoVis0809 0427537:

= Visual Encoding =

== Definition ==
For a visuzalization we need graphical elements to show the syntax of what we mean. 
 
Visual encoding is the set of techniques enabling the representation of data on a screen or on paper. It comprises of the use of shapes, colours, areas and other visual variables that make it possible to associate data variables to graphic variables [Dürsteler, 2005]. 
 
Visual encodings are mappings of information to display elements [Munzner, 2000].

== Techniques of Visual Encoding ==

The fundamental substrate of visualizations is spatial position. Marks such as points, lines, or area-covering elements can be placed on this substrate. These marks can carry additional information independent of their spatial position, such as size, greyscale luminance (brightness) value, surface texture density, color hue, color saturation, curvature, angle, and shape [Munzner, 2000].

Six kinds of Visual Encoding:

* Space
* Marks
* Connections & Enclosures
* Retinal Properties
* Temporal Encoding
* Viewpoint Transformation

=== Space ===
When you think about an empty paper as the beginning of a visualisation, the space between some possible object is one of the most powerful aspects to give something an important note.

=== Marks ===
Marks are the visible things that occur in space [Card et al., 1999], and are simply any graphical symbol visible on a display medium [Ignatius and Senay, 1999].
There are four types of simple Marks :
* Points
* Lines
* Areas
* Volumes

=== Connections & enclosures ===
Connections and enclosures build the important dependencies between the objects (marks). Connections show a relationship between objects, while enclosures can also indicate related objects.

=== Retinal properties ===
A retinal encoding is any variation of the marks that the retina of the eye can perceive besides position [Ignatius and Senay, 1999]. They are the informations that are carried by marks, such as crispness, shape, resolution, transperancy, color(value,hue & saturation), grayscale [Munzner, 2000].
Retinal properties describe how objects (marks) look like.

[[Image:retinal.JPG|center|400px|thumb|[Card et al., 1999] Retinal properties]]

=== Temporal encoding ===
A temporal encoding shows how the marks' properties vary over time.
It's the encoding which depends on the temporal changes of marks (mark position and their retinal properties) [Ignatius and Senay, 1999].

=== Viewpoint transformations ===

Viewpoint transformations modify interactively and augment Visual Structures to turn static presentations into visualizations by establishing graphical parameters to create Views of Visual Structures [Card et al., 1999; Jacko and Sears, 2002] in other words it is the modification of the view position of the viewer (or in general the modification of viewing parameters), thus enhancing the visual perception.

There are three common view transformations :
* Location Probes : Usage of Location in the visual structures to reveal additional info
* Viewpoint control : Moving the viewpoint to create visualisation : Pan,zoom,clip the viewpoint.
* Distortion : Creating a focus area and context area.

[[Image:filmfinder_sm.gif|center|400px|thumb|[Waloszek, 2008] FilmFinder]]

==References==
*[Card et al., 1999] Stuart K. Card, Jock D. Mackinlay, and Ben Schneiderman. ''Readings in Information Visualization. Using Vision to Think.''Morgan Kaufman Publ Inc, San Diego, 1990.
* [Dürsteler, 2005] Juan C. Dürsteler, Web Content Mining Visualisation. Created at: November 7. http://www.infovis.net/printMag.php?num=175&lang=2.
* [Ignatius and Senay, 1999] Ignatius Eve, and Senay Hikmet. Data,vocabulary,marks,composition rules and visual perception rules. Created at: 1999. http://cose.math.bas.bg/Sci_Visualization/visConcepts/concepts/marks.htm.
*[Jacko and Sears, 2002] Julie A. Jacko, and Andrew Sears.''The Human-computer Interaction Handbook: Fundamentals, Evolving Technologies.''Lawrence Erlbaum Assoc in, NY, 2002.
* [Munzner, 2000] Tamara Munzner, Interactive Visualization of Large Graphs and Networks. Ph.D. dissertation, Stanford University. June 2000, http://graphics.stanford.edu/papers/munzner_thesis/.
* [Waloszek, 2008] Gerd Waloszek, SAP AG, SAP User Experience,Selecting Objects By Attributes – Part II. Created at: October 3. http://www.sapdesignguild.org/.../attributes_2.asp.

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01 - Aufgabe 1 - Visual Encoding

2008-11-26T19:32:05Z

UE-InfoVis0809 0427537:

= Visual Encoding =

== Definition ==
For a visuzalization we need graphical elements to show the syntax of what we mean. 
Visual encoding is the set of techniques enabling the representation of data on a screen or on paper. It comprises of the use of shapes, colours, areas and other visual variables that make it possible to associate data variables to graphic variables [Dürsteler, 2005]. 
Visual encodings are mappings of information to display elements [Munzner, 2000].

== Techniques of Visual Encoding ==

The fundamental substrate of visualizations is spatial position. Marks such as points, lines, or area-covering elements can be placed on this substrate. These marks can carry additional information independent of their spatial position, such as size, greyscale luminance (brightness) value, surface texture density, color hue, color saturation, curvature, angle, and shape [Munzner, 2000].

Six kinds of Visual Encoding:

* Space
* Marks
* Connections & Enclosures
* Retinal Properties
* Temporal Encoding
* Viewpoint Transformation

=== Space ===
When you think about an empty paper as the beginning of a visualisation, the space between some possible object is one of the most powerful aspects to give something an important note.

=== Marks ===
Marks are the visible things that occur in space [Card et al., 1999], and are simply any graphical symbol visible on a display medium [Ignatius and Senay, 1999].
There are four types of simple Marks :
* Points
* Lines
* Areas
* Volumes

=== Connections & enclosures ===
Connections and enclosures build the important dependencies between the objects (marks). Connections show a relationship between objects, while enclosures can also indicate related objects.

=== Retinal properties ===
A retinal encoding is any variation of the marks that the retina of the eye can perceive besides position [Ignatius and Senay, 1999]. They are the informations that are carried by marks, such as crispness, shape, resolution, transperancy, color(value,hue & saturation), grayscale [Munzner, 2000].
Retinal properties describe how objects (marks) look like.

[[Image:retinal.JPG|center|400px|thumb|[Card et al., 1999] Retinal properties]]

=== Temporal encoding ===
A temporal encoding shows how the marks' properties vary over time.
It's the encoding which depends on the temporal changes of marks (mark position and their retinal properties) [Ignatius and Senay, 1999].

=== Viewpoint transformations ===

Viewpoint transformations modify interactively and augment Visual Structures to turn static presentations into visualizations by establishing graphical parameters to create Views of Visual Structures [Card et al., 1999; Jacko and Sears, 2002] in other words it is the modification of the view position of the viewer (or in general the modification of viewing parameters), thus enhancing the visual perception.

There are three common view transformations :
* Location Probes : Usage of Location in the visual structures to reveal additional info
* Viewpoint control : Moving the viewpoint to create visualisation : Pan,zoom,clip the viewpoint.
* Distortion : Creating a focus area and context area.

[[Image:filmfinder_sm.gif|center|400px|thumb|[Waloszek, 2008] FilmFinder]]

==References==
*[Card et al., 1999] Stuart K. Card, Jock D. Mackinlay, and Ben Schneiderman. ''Readings in Information Visualization. Using Vision to Think.''Morgan Kaufman Publ Inc, San Diego, 1990.
* [Dürsteler, 2005] Juan C. Dürsteler, Web Content Mining Visualisation. Created at: November 7. http://www.infovis.net/printMag.php?num=175&lang=2.
* [Ignatius and Senay, 1999] Ignatius Eve, and Senay Hikmet. Data,vocabulary,marks,composition rules and visual perception rules. Created at: 1999. http://cose.math.bas.bg/Sci_Visualization/visConcepts/concepts/marks.htm.
*[Jacko and Sears, 2002] Julie A. Jacko, and Andrew Sears.''The Human-computer Interaction Handbook: Fundamentals, Evolving Technologies.''Lawrence Erlbaum Assoc in, NY, 2002.
* [Munzner, 2000] Tamara Munzner, Interactive Visualization of Large Graphs and Networks. Ph.D. dissertation, Stanford University. June 2000, http://graphics.stanford.edu/papers/munzner_thesis/.
* [Waloszek, 2008] Gerd Waloszek, SAP AG, SAP User Experience,Selecting Objects By Attributes – Part II. Created at: October 3. http://www.sapdesignguild.org/.../attributes_2.asp.

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01 - Aufgabe 1 - Visual Encoding

2008-11-26T19:29:29Z

UE-InfoVis0809 0427537: Citations withing a paragraph are seperated

= Visual Encoding =

== Definition ==
For a visuzalization we need graphical elements to show the syntax of what we mean.
Visual encoding is the set of techniques enabling the representation of data on a screen or on paper. It comprises of the use of shapes, colours, areas and other visual variables that make it possible to associate data variables to graphic variables [Dürsteler, 2005].
Visual encodings are mappings of information to display elements [Munzner, 2000].

== Techniques of Visual Encoding ==

The fundamental substrate of visualizations is spatial position. Marks such as points, lines, or area-covering elements can be placed on this substrate. These marks can carry additional information independent of their spatial position, such as size, greyscale luminance (brightness) value, surface texture density, color hue, color saturation, curvature, angle, and shape [Munzner, 2000].

Six kinds of Visual Encoding:

* Space
* Marks
* Connections & Enclosures
* Retinal Properties
* Temporal Encoding
* Viewpoint Transformation

=== Space ===
When you think about an empty paper as the beginning of a visualisation, the space between some possible object is one of the most powerful aspects to give something an important note.

=== Marks ===
Marks are the visible things that occur in space [Card et al., 1999], and are simply any graphical symbol visible on a display medium [Ignatius and Senay, 1999].
There are four types of simple Marks :
* Points
* Lines
* Areas
* Volumes

=== Connections & enclosures ===
Connections and enclosures build the important dependencies between the objects (marks). Connections show a relationship between objects, while enclosures can also indicate related objects.

=== Retinal properties ===
A retinal encoding is any variation of the marks that the retina of the eye can perceive besides position [Ignatius and Senay, 1999]. They are the informations that are carried by marks, such as crispness, shape, resolution, transperancy, color(value,hue & saturation), grayscale [Munzner, 2000].
Retinal properties describe how objects (marks) look like.

[[Image:retinal.JPG|center|400px|thumb|[Card et al., 1999] Retinal properties]]

=== Temporal encoding ===
A temporal encoding shows how the marks' properties vary over time.
It's the encoding which depends on the temporal changes of marks (mark position and their retinal properties) [Ignatius and Senay, 1999].

=== Viewpoint transformations ===

Viewpoint transformations modify interactively and augment Visual Structures to turn static presentations into visualizations by establishing graphical parameters to create Views of Visual Structures [Card et al., 1999; Jacko and Sears, 2002] in other words it is the modification of the view position of the viewer (or in general the modification of viewing parameters), thus enhancing the visual perception.

There are three common view transformations :
* Location Probes : Usage of Location in the visual structures to reveal additional info
* Viewpoint control : Moving the viewpoint to create visualisation : Pan,zoom,clip the viewpoint.
* Distortion : Creating a focus area and context area.

[[Image:filmfinder_sm.gif|center|400px|thumb|[Waloszek, 2008] FilmFinder]]

==References==
*[Card et al., 1999] Stuart K. Card, Jock D. Mackinlay, and Ben Schneiderman. ''Readings in Information Visualization. Using Vision to Think.''Morgan Kaufman Publ Inc, San Diego, 1990.
* [Dürsteler, 2005] Juan C. Dürsteler, Web Content Mining Visualisation. Created at: November 7. http://www.infovis.net/printMag.php?num=175&lang=2.
* [Ignatius and Senay, 1999] Ignatius Eve, and Senay Hikmet. Data,vocabulary,marks,composition rules and visual perception rules. Created at: 1999. http://cose.math.bas.bg/Sci_Visualization/visConcepts/concepts/marks.htm.
*[Jacko and Sears, 2002] Julie A. Jacko, and Andrew Sears.''The Human-computer Interaction Handbook: Fundamentals, Evolving Technologies.''Lawrence Erlbaum Assoc in, NY, 2002.
* [Munzner, 2000] Tamara Munzner, Interactive Visualization of Large Graphs and Networks. Ph.D. dissertation, Stanford University. June 2000, http://graphics.stanford.edu/papers/munzner_thesis/.
* [Waloszek, 2008] Gerd Waloszek, SAP AG, SAP User Experience,Selecting Objects By Attributes – Part II. Created at: October 3. http://www.sapdesignguild.org/.../attributes_2.asp.

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01 - Aufgabe 1 - Visual Encoding

2008-11-26T19:22:27Z

UE-InfoVis0809 0427537:

= Visual Encoding =

== Definition ==
For a viszalization we need graphical elements to show the syntax of what we mean.
Visual encoding is the set of techniques enabling the representation of data on a screen or on paper. It comprises of the use of shapes, colours, areas and other visual variables that make it possible to associate data variables to graphic variables [Dürsteler, 2005]. Visual encodings are mappings of information to display elements [Munzner, 2000].

== Techniques of Visual Encoding ==

The fundamental substrate of visualizations is spatial position. Marks such as points, lines, or area-covering elements can be placed on this substrate. These marks can carry additional information independent of their spatial position, such as size, greyscale luminance (brightness) value, surface texture density, color hue, color saturation, curvature, angle, and shape [Munzner, 2000].

Six kinds of Visual Encoding:

* Space
* Marks
* Connections & Enclosures
* Retinal Properties
* Temporal Encoding
* Viewpoint Transformation

=== Space ===
When you think about an empty paper as the beginning of a visualisation, the space between some possible object is one of the most powerful aspects to give something an important note.

=== Marks ===
Marks are the visible things that occur in space [Card et al., 1999], and are simply any graphical symbol visible on a display medium [Ignatius and Senay, 1999].
There are four types of simple Marks :
* Points
* Lines
* Areas
* Volumes

=== Connections & enclosures ===
Connections and enclosures build the important dependencies between the objects (marks). Connections show a relationship between objects, while enclosures can also indicate related objects.

=== Retinal properties ===
A retinal encoding is any variation of the marks that the retina of the eye can perceive besides position [Ignatius and Senay, 1999]. They are the informations that are carried by marks, such as crispness, shape, resolution, transperancy, color(value,hue & saturation), grayscale [Munzner, 2000].
Retinal properties describe how objects (marks) look like.

[[Image:retinal.JPG|center|400px|thumb|[Card et al., 1999] Retinal properties]]

=== Temporal encoding ===
A temporal encoding shows how the marks' properties vary over time.
It's the encoding which depends on the temporal changes of marks (mark position and their retinal properties) [Ignatius and Senay, 1999].

=== Viewpoint transformations ===

Viewpoint transformations modify interactively and augment Visual Structures to turn static presentations into visualizations by establishing graphical parameters to create Views of Visual Structures [Card et al., 1999; Jacko and Sears, 2002] in other words it is the modification of the view position of the viewer (or in general the modification of viewing parameters), thus enhancing the visual perception.

There are three common view transformations :
* Location Probes : Usage of Location in the visual structures to reveal additional info
* Viewpoint control : Moving the viewpoint to create visualisation : Pan,zoom,clip the viewpoint.
* Distortion : Creating a focus area and context area.

[[Image:filmfinder_sm.gif|center|400px|thumb|[Waloszek, 2008] FilmFinder]]

==References==
*[Card et al., 1999] Stuart K. Card, Jock D. Mackinlay, and Ben Schneiderman. ''Readings in Information Visualization. Using Vision to Think.''Morgan Kaufman Publ Inc, San Diego, 1990.
* [Dürsteler, 2005] Juan C. Dürsteler, Web Content Mining Visualisation. Created at: November 7. http://www.infovis.net/printMag.php?num=175&lang=2.
* [Ignatius and Senay, 1999] Ignatius Eve, and Senay Hikmet. Data,vocabulary,marks,composition rules and visual perception rules. Created at: 1999. http://cose.math.bas.bg/Sci_Visualization/visConcepts/concepts/marks.htm.
*[Jacko and Sears, 2002] Julie A. Jacko, and Andrew Sears.''The Human-computer Interaction Handbook: Fundamentals, Evolving Technologies.''Lawrence Erlbaum Assoc in, NY, 2002.
* [Munzner, 2000] Tamara Munzner, Interactive Visualization of Large Graphs and Networks. Ph.D. dissertation, Stanford University. June 2000, http://graphics.stanford.edu/papers/munzner_thesis/.
* [Waloszek, 2008] Gerd Waloszek, SAP AG, SAP User Experience,Selecting Objects By Attributes – Part II. Created at: October 3. http://www.sapdesignguild.org/.../attributes_2.asp.

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01 - Aufgabe 1 - Visual Encoding

2008-11-26T19:16:58Z

UE-InfoVis0809 0427537:

= Visual Encoding =

== Definition ==
For a viszalization we need graphical elements to show the syntax of what we mean.
Visual encoding is the set of techniques enabling the representation of data on a screen or on paper. It comprises of the use of shapes, colours, areas and other visual variables that make it possible to associate data variables to graphic variables [Dürsteler, 2005]. Visual encodings are mappings of information to display elements [Munzner, 2000].

== Techniques of Visual Encoding ==

The fundamental substrate of visualizations is spatial position. Marks such as points, lines, or area-covering elements can be placed on this substrate. These marks can carry additional information independent of their spatial position, such as size, greyscale luminance (brightness) value, surface texture density, color hue, color saturation, curvature, angle, and shape [Munzner, 2000].

Six kinds of Visual Encoding:

* Space
* Marks
* Connections & Enclosures
* Retinal Properties
* Temporal Encoding
* Viewpoint Transformation

=== Space ===
When you think about an empty paper as the beginning of a visualisation, the space between some possible object is one of the most powerful aspects to give something an important note.

=== Marks ===
Marks are the visible things that occur in space [Card et al., 1999], and are simply any graphical symbol visible on a display medium [Ignatius and Senay, 1999].
There are four types of simple Marks :
* Points
* Lines
* Areas
* Volumes

=== Connections & enclosures ===
Connections and enclosures build the important dependencies between the objects (marks). Connections show a relationship between objects, while enclosures can also indicate related objects.

=== Retinal properties ===
A retinal encoding is any variation of the marks that the retina of the eye can perceive besides position [Ignatius and Senay, 1999]. They are the informations that are carried by marks, such as crispness, shape, resolution, transperancy, color(value,hue & saturation), grayscale [Munzner, 2000].
Retinal properties describe how objects (marks) look like.

[[Image:retinal.JPG|center|400px|thumb|[Card et al., 1999] Retinal properties]]

=== Temporal encoding ===
A temporal encoding shows how the marks' properties vary over time.
It's the encoding which depends on the temporal changes of marks (mark position and their retinal properties) [Ignatius and Senay, 1999].

=== Viewpoint transformations ===

Viewpoint transformations modify interactively and augment Visual Structures to turn static presentations into visualizations by establishing graphical parameters to create Views of Visual Structures [Card et al., 1999; Jacko and Sears, 2002] in other words it is the modification of the view position of the viewer (or in general the modification of viewing parameters), thus enhancing the visual perception.

There are three common view transformations :
* Location Probes : Usage of Location in the visual structures to reveal additional info
* Viewpoint control : Moving the viewpoint to create visualisation : Pan,zoom,clip the viewpoint.
* Distortion : Creating a focus area and context area.

[[Image:filmfinder_sm.gif|center|400px|thumb|[Waloszek, 2008] FilmFinder]]

==References==
*[Card et al., 1999] Stuart K. Card, Jock D. Mackinlay, and Ben Schneiderman. ''Readings in Information Visualization. Using Vision to Think.''Morgan Kaufman Publ Inc, San Diego, 1990.
* [Dürsteler, 2005] Juan C. Dürsteler, Web Content Mining Visualisation. Created at: November 7. http://www.infovis.net/printMag.php?num=175&lang=2.
* [Ignatius and Senay, 1999] Ignatius Eve, and Senay Hikmet. "Data,vocabulary,marks,composition rules and visual perception rules". Created at: 1999. http://cose.math.bas.bg/Sci_Visualization/visConcepts/concepts/marks.htm.
*[Jacko and Sears, 2002] Julie A. Jacko, and Andrew Sears.''The Human-computer Interaction Handbook: Fundamentals, Evolving Technologies.''Lawrence Erlbaum Assoc in, NY, 2002.
* [Munzner, 2000] Tamara Munzner, Interactive Visualization of Large Graphs and Networks. Ph.D. dissertation, Stanford University. June 2000, http://graphics.stanford.edu/papers/munzner_thesis/.
* [Waloszek, 2008] Gerd Waloszek, SAP AG, SAP User Experience,Selecting Objects By Attributes – Part II. Created at: October 3. http://www.sapdesignguild.org/.../attributes_2.asp.