InfoVis:Wiki - User contributions [en]

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 02 - Aufgabe 4

2009-02-02T20:14:27Z

UE-InfoVis0809 0409282:

== 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===
*Application area analysis & dataset analysis
The predefined dataset describes Homer Simpson's lifetime beverage consumption. 
We distinguish between beverages (water, milk, juice, cola, coffee, and beer), contained substances (sugar, alcohol, caffeine), and their according recommended daily allowance (RDA). As actual data, we store ingested liters of fluids and the time of consumption with the information of life-period, like child ship, puberty, unemployment, marriage, birth of children, retirement, divorce, illness,..). 
For measurement of consumed drinks, we use the ordinal data type Liter and for substances kilogram or gram, the life period is considered as nominal type and can also directly be linked to a specific quantitative time span. This results in a quantitative dataset composed of multiple instances of several measures taken periodically, which is best visualised as a line chart [Few, 2004].
 
[[Image:Homer.gif]]

*Target group analysis
The visualization is tended for medical and psychological stakeholders an their patients; to discuss easily the problems of their drinking habits and their solution. The medical view expresses the consumption of substances like sugar, alcohol and caffeine whereas the psychological view details the intake of fluids. With Homer Simpson’s dataset it is also possible to demonstrate the overall intake of amounts of sugar and similar harmful substances to children. Nevertheless the interface for the visualization should be easily comprehended and user friendly to be able to be operated by different target groups.

*Goal
The goal of the visualization is to get a quick and detailed overview on Homer Simpson’s drinking behavior depending his current life period and circumstances. It should be possible to identify the accumulated quantities of substances in relation to the recommended maximum dose. The interactive visualization should also offer an option to select considered fluids.
===Concept ===

*Visualization
We should use graphs, when the message is contained in the shape of the values and the document you produce will be used to reveal relationship among multiple values [Few, 2004]. In our task about Homer Simpson's drink consumption are too much different values that have to be shown, that a table all alone won't show the information clearly enough.

* Visual Mapping
We separate the two different views for medical and psychologic interests: 
On the psychologic or "drink"-view of our data, the drinks to be shown are selected:
The time series is mapped onto the x-axis [Few, 2004] and the consumed amount (in liters) onto the y-axis. 
On the medical or "substance"-view, the sugar-, caffeine- and alcohol-rates can be examined:
Again, the time is shown on the x-axis. For the selected time periode, the amounts of consumed substances sugar, caffeine and alcohol are mapped onto the y-axis. We can put a horizontal line where y equals one recommended maximum dose of the selected time periode (by a sliding button). That way, it is easy recognizable which substance consumption exceeds one RMA. But to show the substances according to the RMA clearlier, each substance is arranged in one diagram, with the relation to the recommended maximum dose on the y-axis an the same selected time periode on the x-axis, on the right side of the analysis panel at both (drinks- and substances-) views (Figure 1, 2).
The life periode is always shown in the main window on the left by coloured bars (transparently) in the background of the line panel. It is able to hide or show different life periodes by copying or droping the issued life-periode-words in the text-line (under the main analysis panel) to the right one.

*Description of the technologies
The time periode would be shown in a line chart, because quantitative dataset composed of multiple instances of several measures taken periodically, is best visualised as a line chart [Few, 2004].
We use a bar diagram for the life periode to show our nominal dataset, because a simple comparison of the categorical subdivision of one or more measures in no particular order can be shown very easy by this visualization[Few, 2004]. 
On the "substance"-view,in the main panel the amount of the substances are shown in optionally mg or g on the y-axis. 
We decided to show the differences to the maximal dosis by mapping each substance on an RMA scale, where the maximum dose is clearly shown by the horizontal line at 100 percent [Few, 2004]. The line plot then visualize in the whether Homer Simpson's drinking behavior was adequate for each period by sliding the pannel on the left of each "RMA-substances"-diagram to the left/main diagram, and if not, by how much one RMA was exceeded.

*Interaction
The user can choose between the drinks-view and the substances-view by selecting the according tab on the top of the currently displayed diagram (panel "Anzeige"). Under this main diagram he can select the time area by writing the start- and end-time and -date in the boxes.
In the panel "Getränke", one can select up to three drinks for simultanous comparison. 
In the "drinks"-view, the color under the drinking-name define the line color for a drink in the diagram. When a single point on the line is selected, a floating panel emerges showing the exact date, life periode(s), consumption and RMA for each substance of the according drink. In the three "RMA-substances"-diagram all contained substances are listed with their exact value and unit.
In the substances-view, also the color under the substance-name define the line color for a substance in the diagram. If a single point on a line is selected, the emergin panel reveals the exact date and time, the amount, the taken drink(s) and RMA of the according substance consumed in that point.

*MockUp

Figure 1 shows three different drinks in the (selected) all life periods, so it is mainly made for the physiological interest on the relation between the drinking habits and the time of his life. Additionally the physiological patient can be shown (on the right side of Figure 1) which substances he/she had taken too much in relation to the selected time periode.

[[Image:GetraenkeView_life.jpg|center|700px|thumb|Fig.1: Drinks-view with selected bar.]]

Figure 2 shows the amount of the different substances on (optional) one day in (optional) milligram. The moved slider on the right side of the "caffeine-relation-window" show the maximum dosis of caffeine in the main window.

[[Image:SubstanzenView_day.jpg|center|700px|thumb|Fig.2: Substance-view with selected bar.]]

===References===
*[Few, 2004]:Stephen Few, Show Me the Numbers: Designing Tables and Graphs to Enlighten, Analytics Press, 2004, Appendix A - Table and Graph Design at a Glance.

== 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 02|Gruppe 02]]

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 02 - Aufgabe 4

2009-02-02T20:13:44Z

UE-InfoVis0809 0409282:

== 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===
*Application area analysis & dataset analysis
The predefined dataset describes Homer Simpson's lifetime beverage consumption. 
We distinguish between beverages (water, milk, juice, cola, coffee, and beer), contained substances (sugar, alcohol, caffeine), and their according recommended daily allowance (RDA). As actual data, we store ingested liters of fluids and the time of consumption with the information of life-period, like child ship, puberty, unemployment, marriage, birth of children, retirement, divorce, illness,..). 
For measurement of consumed drinks, we use the ordinal data type Liter and for substances kilogram or gram, the life period is considered as nominal type and can also directly be linked to a specific quantitative time span. This results in a quantitative dataset composed of multiple instances of several measures taken periodically, which is best visualised as a line chart [Few, 2004].
 
[[Image:Homer.gif]]

*Target group analysis
The visualization is tended for medical and psychological stakeholders an their patients; to discuss easily the problems of their drinking habits and their solution. The medical view expresses the consumption of substances like sugar, alcohol and caffeine whereas the psychological view details the intake of fluids. With Homer Simpson’s dataset it is also possible to demonstrate the overall intake of amounts of sugar and similar harmful substances to children. Nevertheless the interface for the visualization should be easily comprehended and user friendly to be able to be operated by different target groups.

*Goal
The goal of the visualization is to get a quick and detailed overview on Homer Simpson’s drinking behavior depending his current life period and circumstances. It should be possible to identify the accumulated quantities of substances in relation to the recommended maximum dose. The interactive visualization should also offer an option to select considered fluids.
===Concept ===

*Visualization
We should use graphs, when the message is contained in the shape of the values and the document you produce will be used to reveal relationship among multiple values [Few, 2004]. In our task about Homer Simpson's drink consumption are too much different values that have to be shown, that a table all alone won't show the information clearly enough.

* Visual Mapping
We separate the two different views for medical and psychologic interests: 
On the psychologic or "drink"-view of our data, the drinks to be shown are selected:
The time series is mapped onto the x-axis [Few, 2004] and the consumed amount (in liters) onto the y-axis. 
On the medical or "substance"-view, the sugar-, caffeine- and alcohol-rates can be examined:
Again, the time is shown on the x-axis. For the selected time periode, the amounts of consumed substances sugar, caffeine and alcohol are mapped onto the y-axis. We can put a horizontal line where y equals one recommended maximum dose of the selected time periode (by a sliding button). That way, it is easy recognizable which substance consumption exceeds one RMA. But to show the substances according to the RMA clearlier, each substance is arranged in one diagram, with the relation to the recommended maximum dose on the y-axis an the same selected time periode on the x-axis, on the right side of the analysis panel at both (drinks- and substances-) views (Figure 1, 2).
The life periode is always shown in the main window on the left by coloured bars (transparently) in the background of the line panel. It is able to hide or show different life periodes by copying or droping the issued life-periode-words in the text-line (under the main analysis panel) to the right one.

*Description of the technologies
The time periode would be shown in a line chart, because quantitative dataset composed of multiple instances of several measures taken periodically, is best visualised as a line chart [Few, 2004].
We use a bar diagram for the life periode to show our nominal dataset, because a simple comparison of the categorical subdivision of one or more measures in no particular order can be shown very easy by this visualization[Few, 2004]. 
On the "substance"-view,in the main panel the amount of the substances are shown in optionally mg or g on the y-axis. 
We decided to show the differences to the maximal dosis by mapping each substance on an RMA scale, where the maximum dose is clearly shown by the horizontal line at 100 percent [Few, 2004]. The line plot then visualize in the whether Homer Simpson's drinking behavior was adequate for each period by sliding the pannel on the left of each "RMA-substances"-diagram to the left/main diagram, and if not, by how much one RMA was exceeded.

*Interaction
The user can choose between the drinks-view and the substances-view by selecting the according tab on the top of the currently displayed diagram (panel "Anzeige"). Under this main diagram he can select the time area by writing the start- and end-time and -date in the boxes.
In the panel "Getränke", one can select up to three drinks for simultanous comparison. 
In the "drinks"-view, the color under the drinking-name define the line color for a drink in the diagram. When a single point on the line is selected, a floating panel emerges showing the exact date, life periode(s), consumption and RMA for each substance of the according drink. In the three "RMA-substances"-diagram all contained substances are listed with their exact value and unit.
In the substances-view, also the color under the substance-name define the line color for a substance in the diagram. If a single point on a line is selected, the emergin panel reveals the exact date and time, the amount, the taken drink(s) and RMA of the according substance consumed in that point.

*MockUp

Figure 1 shows three different drinks in the (selected) all life periods, so it is mainly made for the physiological interest on the relation between the drinking habits and the time of his life. Additionally the physiological patient can be shown (on the right side of Figure 1) which substances he/she had taken too much in relation to the selected time periode.

[[Image:GetraenkeView_life.jpg|center|700px|thumb|Fig.1: Drinks-view with selected bar.]]

Figure 2 shows the amount of the different substances on (optional) one day in (optional) milligram. The moved slider on the right side of the "caffeine-relation-window" show the maximum dosis of caffeine in the main window.

[[Image:SubstanzenView_day.jpg|center|700px|thumb|Fig.2: Substance-view with selected bar.]]

Additionally we think about a drag-and-drop and copy-option for the different life periods, because maybe Homer has more than one time lovesickness.
Also more than the given drinks could be added.

===References===
*[Few, 2004]:Stephen Few, Show Me the Numbers: Designing Tables and Graphs to Enlighten, Analytics Press, 2004, Appendix A - Table and Graph Design at a Glance.

== 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 02|Gruppe 02]]

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 02 - Aufgabe 4

2009-02-02T10:44:05Z

UE-InfoVis0809 0409282:

== 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===
*Application area analysis & dataset analysis
The predefined dataset describes Homer Simpson's lifetime beverage consumption. 
We distinguish between beverages (water, milk, juice, cola, coffee, and beer), contained substances (sugar, alcohol, caffeine), and their according recommended daily allowance (RDA). As actual data, we store ingested liters of fluids and the time of consumption with the information of life-period, like child ship, puberty, unemployment, marriage, birth of children, retirement, divorce, illness,..). 
For measurement of consumed drinks, we use the ordinal data type Liter and for substances kilogram or gram, the life period is considered as nominal type and can also directly be linked to a specific quantitative time span. This results in a quantitative dataset composed of multiple instances of several measures taken periodically, which is best visualised as a line chart [Few, 2004].
 
[[Image:Homer.gif]]

*Target group analysis
The visualization is tended for medical and psychological stakeholders an their patients; to discuss easily the problems of their drinking habits and their solution. The medical view expresses the consumption of substances like sugar, alcohol and caffeine whereas the psychological view details the intake of fluids. With Homer Simpson’s dataset it is also possible to demonstrate the overall intake of amounts of sugar and similar harmful substances to children. Nevertheless the interface for the visualization should be easily comprehended and user friendly to be able to be operated by different target groups.

*Goal
The goal of the visualization is to get a quick and detailed overview on Homer Simpson’s drinking behavior depending his current life period and circumstances. It should be possible to identify the accumulated quantities of substances in relation to the recommended maximum dose. The interactive visualization should also offer an option to select considered fluids.
===Concept ===

*Visualization
We should use graphs, when the message is contained in the shape of the values and the document you produce will be used to reveal relationship among multiple values [Few, 2004]. In our task about Homer Simpson's drink consumption are too much different values that have to be shown, that a table all alone won't show the information clearly enough.

* Visual Mapping
We separate the two different views for medical and psychologic interests: 
On the psychologic or "drink"-view of our data, the drinks to be shown are selected:
The time series is mapped onto the x-axis [Few, 2004] and the consumed amount (in liters) onto the y-axis. 
On the medical or "substance"-view, the sugar-, caffeine- and alcohol-rates can be examined:
Again, the time is shown on the x-axis. For the selected time periode, the amounts of consumed substances sugar, caffeine and alcohol are mapped onto the y-axis. We can put a horizontal line where y equals one recommended maximum dose of the selected time periode (by a sliding button). That way, it is easy recognizable which substance consumption exceeds one RMA. But to show the substances according to the RMA better arranged, we show for each substance one diagram, with the relation to the recommended maximum dose on the y-axis an the same selected time periode on the x-axis, on the right side of the analysis panel at both (drinks- and substances) views.
The life periode is always shown in the main window on the left with coloured bars in the background of the line panel. It is able to to hide or show different life periodes.

*Description of the technologies
The time periode would be shown in a line chart, because quantitative dataset composed of multiple instances of several measures taken periodically, is best visualised as a line chart [Few, 2004].
We use a bar diagram for the life periode to show our nominal dataset, because a simple comparison of the categorical subdivision of one or more measures in no particular order can be shown very easy by this visualization[Few, 2004]. 
On the "substance"-view, we decided to show (for the medicine view) the differences to the maximal dosis by mapping the substances on an RMA scale, where the maximum dose is clearly shown by the horizontal line at 100 percent [Few, 2004]. The bars then show whether Homer Simpson's drinking behavior was adequate for each period, and if not, by how much one RMA was exceeded.

*Interaction
The user can choose between the drinks-view and the substances-view by selecting the according tab on the top of the currently displayed diagram (panel "Anzeige"). In the panel "Getränke", one can select up to three drinks for simultanous comparison. 
In the "drinks"-view, the legend above the diagram defines the bar colors for all drinks. When a single bar is selected, a floating panel emerges showing the exact consumption of the according drink for that period. Further, all contained substances are listed with their exact value and unit.
In the substances-view, the legend above the main diagram defines the colors for the three covered substances. If a single bar is selected, the emergin panel reveals the exact amount and unit of the according substance consumed in that period, the appropriate RDA value, the substance-specific RDA in its unit (gram, milligram) and a breakdown into drinks, so that one can track the ratio of each drink that contributes to the total.

*MockUp

Figure 1 shows three different drinks in the (selected) all life periods, so it is mainly made for the physiological interest on the relation between the drinking habits and the time of his life. Additionally the physiological patient can be shown (on the right side of Figure 1) which substances he/she had taken too much in relation to the selected time periode.

[[Image:GetraenkeView_life.jpg|center|700px|thumb|Fig.1: Drinks-view with selected bar.]]

Figure 2 shows the amount of the different substances on (optional) one day in (optional) milligram. The moved slider on the right side of the "caffeine-relation-window" show the maximum dosis of caffeine in the main window.

[[Image:SubstanzenView_day.jpg|center|700px|thumb|Fig.2: Substance-view with selected bar.]]

Additionally we think about a drag-and-drop and copy-option for the different life periods, because maybe Homer has more than one time lovesickness.
Also more than the given drinks could be added.

===References===
*[Few, 2004]:Stephen Few, Show Me the Numbers: Designing Tables and Graphs to Enlighten, Analytics Press, 2004, Appendix A - Table and Graph Design at a Glance.

== 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 02|Gruppe 02]]

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 02 - Aufgabe 4

2009-02-02T02:26:21Z

UE-InfoVis0809 0409282:

== 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===
*Application area analysis & dataset analysis
The predefined dataset describes Homer Simpson's lifetime beverage consumption. 
We distinguish between beverages (water, milk, juice, cola, café, and beer), contained substances (sugar, alcohol, caffeine), and their according recommended daily allowance (RDA). As actual data, we store ingested liters of fluids and the time of consumption (=life-period like child ship, puberty, unemployment, marriage, birth of children, retirement, divorce, illness,..). 
For measurement of consumed drinks, we use the ordinal data type Liter and for substances kilogram or gram, the life period is considered as nominal type and can also directly be linked to a specific age or time span. This results in a dataset structure of two dimensions with additional date-selection.
 
[[Image:Homer.gif]]

*Target group analysis
The visualization is tended for medical and psychological stakeholders an their patients; to discuss easily the problems of their drinking habits and their solution. The medical view expresses the consumption of substances like sugar, alcohol and caffeine whereas the psychological view details the intake of fluids. With Homer Simpson’s dataset it is also possible to demonstrate the overall intake of amounts of sugar and similar harmful substances to children. Nevertheless the interface for the visualization should be easily comprehended and user friendly to be able to be operated by different target groups.

*Goal
The goal of the visualization is to get a quick and detailed overview on Homer Simpson’s drinking behavior depending his current life period and circumstances. It should be possible to identify the accumulated quantities of substances in relation to the recommended maximum dose. The interactive visualization should also offer an option to select considered fluids.
===Concept ===

*Visualization
We should use graphs, when the message is contained in the shape of the values and the document you produce will be used to reveal relationship among multiple values [Few, 2004]. In our task about Homer Simpson's drink consumption are too much different values that have to be shown, that a table all alone won't show the information clearly enough.

* Visual Mapping
We separate the two different views for medical and psychologic interests: 
On the psychologic or "drink"-view of our data, the drinks to be shown are selected:
The different life periods are mapped onto the x-axis and the consumed amount (in liters) onto the y-axis. 
On the medical or "substance"-view, the sugar-, caffeine- and alcohol-rates can be examined:
Again, the various life periods are shown on the x-axis. For each period, the amounts of consumed substances sugar, caffeine and alcohol are mapped onto the y-axis in multiples of the according RDA. We put a horizontal line where y equals one RDA. That way, it is easy recognizable which substance consumption exceeds one RDA.

*Description of the technologies
We use a bar diagram to show our nominal dataset, because a simple comparison of the categorical subdivision of one or more measures in no particular order can be shown very easy by this visualization[Few, 2004]. 
On the "substance"-view, we decided to show (for the medicine view) the differences to the maximal dosis by mapping the substances on an RDA scale, where the maximum dose is clearly shown by the horizontal line [Few, 2004]. The bars then show whether Homer Simpson's drinking behavior was adequate for each period, and if not, by how much one RDA was exceeded.

*Interaction
The user can choose between the drinks-view and the substances-view by selecting the according tab on the top of the currently displayed diagram (panel "Anzeige"). In the panel "Getränke", one can select up to three drinks for simultanous comparison. 
In the "drinks"-view, the legend above the diagram defines the bar colors for all drinks. When a single bar is selected, a floating panel emerges showing the exact consumption of the according drink for that period. Further, all contained substances are listed with their exact value and unit.
In the substances-view, the legend above the main diagram defines the colors for the three covered substances. If a single bar is selected, the emergin panel reveals the exact amount and unit of the according substance consumed in that period, the appropriate RDA value, the substance-specific RDA in its unit (gram, milligram) and a breakdown into drinks, so that one can track the ratio of each drink that contributes to the total.

*MockUp

Figure 1 shows three different drinks in the (selected) all life periods, so it is mainly made for the physiological interest on the relation between the drinking habits and the time of his life. Additionally the physiological patient can be shown (on the right side of Figure 1) which substances he/she had taken too much in relation to the selected time periode.

[[Image:GetraenkeView_life.jpg|center|700px|thumb|Fig.1: Drinks-view with selected bar.]]

Figure 2 shows the amount of the different substances on (optional) one day in (optional) milligram. The moved slider on the right side of the "coffein-relation-window" show the maximum dosis of coffein in the main window.

[[Image:SubstanzenView_day.jpg|center|700px|thumb|Fig.2: Substance-view with selected bar.]]

Additionally we think about a drag-and-drop and copy-option for the different life periods, because maybe Homer has more than one time lovesickness.
Also more than the given drinks could be added.

===References===
*[Few, 2004]:Stephen Few, Show Me the Numbers: Designing Tables and Graphs to Enlighten, Analytics Press, 2004, Appendix A - Table and Graph Design at a Glance.

== 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 02|Gruppe 02]]

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 02 - Aufgabe 4

2009-02-02T02:25:19Z

UE-InfoVis0809 0409282:

== 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===
*Application area analysis & dataset analysis
The predefined dataset describes Homer Simpson's lifetime beverage consumption. 
We distinguish between beverages (water, milk, juice, cola, café, and beer), contained substances (sugar, alcohol, caffeine), and their according recommended daily allowance (RDA). As actual data, we store ingested liters of fluids and the time of consumption (=life-period like child ship, puberty, unemployment, marriage, birth of children, retirement, divorce, illness,..). 
For measurement of consumed drinks, we use the ordinal data type Liter and for substances kilogram or gram, the life period is considered as nominal type and can also directly be linked to a specific age or time span. This results in a dataset structure of two dimensions with additional date-selection.
 
[[Image:Homer.gif]]

*Target group analysis
The visualization is tended for medical and psychological stakeholders an their patients; to discuss easily the problems of their drinking habits and their solution. The medical view expresses the consumption of substances like sugar, alcohol and caffeine whereas the psychological view details the intake of fluids. With Homer Simpson’s dataset it is also possible to demonstrate the overall intake of amounts of sugar and similar harmful substances to children. Nevertheless the interface for the visualization should be easily comprehended and user friendly to be able to be operated by different target groups.

*Goal
The goal of the visualization is to get a quick and detailed overview on Homer Simpson’s drinking behavior depending his current life period and circumstances. It should be possible to identify the accumulated quantities of substances in relation to the recommended maximum dose. The interactive visualization should also offer an option to select considered fluids.
===Concept ===

*Visualization
We should use graphs, when the message is contained in the shape of the values and the document you produce will be used to reveal relationship among multiple values [Few, 2004]. In our task about Homer Simpson's drink consumption are too much different values that have to be shown, that a table all alone won't show the information clearly enough.

* Visual Mapping
We separate the two different views for medical and psychologic interests: 
On the psychologic or "drink"-view of our data, the drinks to be shown are selected:
The different life periods are mapped onto the x-axis and the consumed amount (in liters) onto the y-axis. 
On the medical or "substance"-view, the sugar-, caffeine- and alcohol-rates can be examined:
Again, the various life periods are shown on the x-axis. For each period, the amounts of consumed substances sugar, caffeine and alcohol are mapped onto the y-axis in multiples of the according RDA. We put a horizontal line where y equals one RDA. That way, it is easy recognizable which substance consumption exceeds one RDA.

*Description of the technologies
We use a bar diagram to show our nominal dataset, because a simple comparison of the categorical subdivision of one or more measures in no particular order can be shown very easy by this visualization[Few, 2004]. 
On the "substance"-view, we decided to show (for the medicine view) the differences to the maximal dosis by mapping the substances on an RDA scale, where the maximum dose is clearly shown by the horizontal line [Few, 2004]. The bars then show whether Homer Simpson's drinking behavior was adequate for each period, and if not, by how much one RDA was exceeded.

*Interaction
The user can choose between the drinks-view and the substances-view by selecting the according tab on the top of the currently displayed diagram (panel "Anzeige"). In the panel "Getränke", one can select up to three drinks for simultanous comparison. 
In the "drinks"-view, the legend above the diagram defines the bar colors for all drinks. When a single bar is selected, a floating panel emerges showing the exact consumption of the according drink for that period. Further, all contained substances are listed with their exact value and unit.
In the substances-view, the legend above the main diagram defines the colors for the three covered substances. If a single bar is selected, the emergin panel reveals the exact amount and unit of the according substance consumed in that period, the appropriate RDA value, the substance-specific RDA in its unit (gram, milligram) and a breakdown into drinks, so that one can track the ratio of each drink that contributes to the total.

*MockUp

Figure 1 shows three different drinks in the (selected) all life periods, so it is mainly made for the physiological interest on the relation between the drinking habits and the time of his life. Additionally the physiological patient can be shown (on the right side of Figure 1) which substances he/she had taken too much in relation to the selected time periode.

[[Image:GetraenkeView_life.jpg|center|700px|thumb|Fig.1: Drinks-view with selected bar.]]

Figure 2 shows the amount of the different substances on (optional) one day in (optional) milligram. The moved slider on the right side of the "coffein-relation-window" show the maximum dosis of coffein in the main window.

[[Image:GetraenkeView_life.jpg|center|700px|thumb|Fig.2: Substance-view with selected bar.]]

Additionally we think about a drag-and-drop and copy-option for the different life periods, because maybe Homer has more than one time lovesickness.
Also more than the given drinks could be added.

===References===
*[Few, 2004]:Stephen Few, Show Me the Numbers: Designing Tables and Graphs to Enlighten, Analytics Press, 2004, Appendix A - Table and Graph Design at a Glance.

== 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 02|Gruppe 02]]

File:SubstanzenView day.jpg

2009-02-02T02:19:22Z

UE-InfoVis0809 0409282: ausgewählte Tages-Substanzen-Ansicht mit selektierten Substanzen und Koffein-MaxDosisLinie im Hauptfenster

== Beschreibung ==
ausgewählte Tages-Substanzen-Ansicht mit selektierten Substanzen und Koffein-MaxDosisLinie im Hauptfenster
== Copyright status ==
[Schiffl, 2008]
== Source ==

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 02 - Aufgabe 4

2009-02-02T02:16:25Z

UE-InfoVis0809 0409282:

== 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===
*Application area analysis & dataset analysis
The predefined dataset describes Homer Simpson's lifetime beverage consumption. 
We distinguish between beverages (water, milk, juice, cola, café, and beer), contained substances (sugar, alcohol, caffeine), and their according recommended daily allowance (RDA). As actual data, we store ingested liters of fluids and the time of consumption (=life-period like child ship, puberty, unemployment, marriage, birth of children, retirement, divorce, illness,..). 
For measurement of consumed drinks, we use the ordinal data type Liter and for substances kilogram or gram, the life period is considered as nominal type and can also directly be linked to a specific age or time span. This results in a dataset structure of two dimensions with additional date-selection.
 
[[Image:Homer.gif]]

*Target group analysis
The visualization is tended for medical and psychological stakeholders an their patients; to discuss easily the problems of their drinking habits and their solution. The medical view expresses the consumption of substances like sugar, alcohol and caffeine whereas the psychological view details the intake of fluids. With Homer Simpson’s dataset it is also possible to demonstrate the overall intake of amounts of sugar and similar harmful substances to children. Nevertheless the interface for the visualization should be easily comprehended and user friendly to be able to be operated by different target groups.

*Goal
The goal of the visualization is to get a quick and detailed overview on Homer Simpson’s drinking behavior depending his current life period and circumstances. It should be possible to identify the accumulated quantities of substances in relation to the recommended maximum dose. The interactive visualization should also offer an option to select considered fluids.
===Concept ===

*Visualization
We should use graphs, when the message is contained in the shape of the values and the document you produce will be used to reveal relationship among multiple values [Few, 2004]. In our task about Homer Simpson's drink consumption are too much different values that have to be shown, that a table all alone won't show the information clearly enough.

* Visual Mapping
We separate the two different views for medical and psychologic interests: 
On the psychologic or "drink"-view of our data, the drinks to be shown are selected:
The different life periods are mapped onto the x-axis and the consumed amount (in liters) onto the y-axis. 
On the medical or "substance"-view, the sugar-, caffeine- and alcohol-rates can be examined:
Again, the various life periods are shown on the x-axis. For each period, the amounts of consumed substances sugar, caffeine and alcohol are mapped onto the y-axis in multiples of the according RDA. We put a horizontal line where y equals one RDA. That way, it is easy recognizable which substance consumption exceeds one RDA.

*Description of the technologies
We use a bar diagram to show our nominal dataset, because a simple comparison of the categorical subdivision of one or more measures in no particular order can be shown very easy by this visualization[Few, 2004]. 
On the "substance"-view, we decided to show (for the medicine view) the differences to the maximal dosis by mapping the substances on an RDA scale, where the maximum dose is clearly shown by the horizontal line [Few, 2004]. The bars then show whether Homer Simpson's drinking behavior was adequate for each period, and if not, by how much one RDA was exceeded.

*Interaction
The user can choose between the drinks-view and the substances-view by selecting the according radio button left of the currently displayed diagram (panel "Anzeige"). In the panel "Getränke", one can select up to three drinks for simultanous comparison. This can be done independently form the current view. 
In the "drinks"-view, the legend above the diagram defines the bar colors for all drinks. When a single bar is selected, a floating panel emerges showing the exact consumption of the according drink for that period. Further, all contained substances are listed with their exact value and unit.
In the substances-view, the legend above the main diagram defines the colors for the three covered substances. If a single bar is selected, the emergin panel reveals the exact amount and unit of the according substance consumed in that period, the appropriate RDA value, the substance-specific RDA in its unit (gram, milligram) and a breakdown into drinks, so that one can track the ratio of each drink that contributes to the total.

*MockUp

Figure 1 shows three different drinks in the all life periods, so it is mainly made for the physiological interest on the relation between the drinking habits and the time of his life. Additionally the physiological patient can be shown on the ride side of Figure 1 which substances he/she had taken too much.

[[Image:GetraenkeView_life.jpg|center|700px|thumb|Fig.1: Drinks-view with selected bar.]]

Figure 2 shows the amount of the different substances on (optional) one day in (optional) milligram.

[[Image:SubstanzenView day.png|center|400px|thumb|Fig.2: Substance-view with selected bar.]]

Additionally we think about a drag-and-drop and copy-option for the different life periods, because maybe Homer has more than one time lovesickness.
Also more than the given drinks could be added.

===References===
*[Few, 2004]:Stephen Few, Show Me the Numbers: Designing Tables and Graphs to Enlighten, Analytics Press, 2004, Appendix A - Table and Graph Design at a Glance.

== 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 02|Gruppe 02]]

File:GetraenkeView life.jpg

2009-02-02T02:14:48Z

UE-InfoVis0809 0409282: Lebens-Getraenke-Ansicht mit selektierten Getraenken und Lebenszuständen

== Beschreibung ==
Lebens-Getraenke-Ansicht mit selektierten Getraenken und Lebenszuständen
== Copyright status ==
[Schiffl, 2008]
== Source ==

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 02 - Aufgabe 4

2009-02-01T05:17:17Z

UE-InfoVis0809 0409282:

== 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===
*Application area analysis & dataset analysis
The predefined dataset describes Homer Simpson's lifetime beverage consumption. 
We distinguish between beverages (water, milk, juice, cola, café, and beer), contained substances (sugar, alcohol, caffeine), and their according recommended daily allowance (RDA). As actual data, we store ingested liters of fluids and the time of consumption (=life-period like child ship, puberty, unemployment, marriage, birth of children, retirement, divorce, illness,..). 
For measurement of consumed drinks, we use the ordinal data type Liter and for substances kilogram or gram, the life period is considered as nominal type and can also directly be linked to a specific age or time span. This results in a dataset structure of two dimensions with additional date-selection.
 
[[Image:Homer.gif]]

*Target group analysis
The visualization is tended for medical and psychological stakeholders an their patients; to discuss easily the problems of their drinking habits and their solution. The medical view expresses the consumption of substances like sugar, alcohol and caffeine whereas the psychological view details the intake of fluids. With Homer Simpson’s dataset it is also possible to demonstrate the overall intake of amounts of sugar and similar harmful substances to children. Nevertheless the interface for the visualization should be easily comprehended and user friendly to be able to be operated by different target groups.

*Goal
The goal of the visualization is to get a quick and detailed overview on Homer Simpson’s drinking behavior depending his current life period and circumstances. It should be possible to identify the accumulated quantities of substances in relation to the recommended maximum dose. The interactive visualization should also offer an option to select considered fluids.
===Concept ===

*Visualization
We should use graphs, when the message is contained in the shape of the values and the document you produce will be used to reveal relationship among multiple values [Few, 2004]. In our task about Homer Simpson's drink consumption are too much different values that have to be shown, that a table all alone won't show the information clearly enough.

* Visual Mapping
We separate the two different views for medical and psychologic interests: 
On the psychologic or "drink"-view of our data, the drinks to be shown are selected:
The different life periods are mapped onto the x-axis and the consumed amount (in liters) onto the y-axis. 
On the medical or "substance"-view, the sugar-, caffeine- and alcohol-rates can be examined:
Again, the various life periods are shown on the x-axis. For each period, the amounts of consumed substances sugar, caffeine and alcohol are mapped onto the y-axis in multiples of the according RDA. We put a horizontal line where y equals one RDA. That way, it is easy recognizable which substance consumption exceeds one RDA.

*Description of the technologies
We use a bar diagram to show our nominal dataset, because a simple comparison of the categorical subdivision of one or more measures in no particular order can be shown very easy by this visualization[Few, 2004]. 
On the "substance"-view, we decided to show (for the medicine view) the differences to the maximal dosis by mapping the substances on an RDA scale, where the maximum dose is clearly shown by the horizontal line [Few, 2004]. The bars then show whether Homer Simpson's drinking behavior was adequate for each period, and if not, by how much one RDA was exceeded.

*Interaction
The user can choose between the drinks-view and the substances-view by selecting the according radio button left of the currently displayed diagram (panel "Anzeige"). In the panel "Getränke", one can select up to three drinks for simultanous comparison. This can be done independently form the current view. 
In the "drinks"-view, the legend above the diagram defines the bar colors for all drinks. When a single bar is selected, a floating panel emerges showing the exact consumption of the according drink for that period. Further, all contained substances are listed with their exact value and unit.
In the substances-view, the legend above the main diagram defines the colors for the three covered substances. If a single bar is selected, the emergin panel reveals the exact amount and unit of the according substance consumed in that period, the appropriate RDA value, the substance-specific RDA in its unit (gram, milligram) and a breakdown into drinks, so that one can track the ratio of each drink that contributes to the total.

*MockUp

Figure 1 shows three different drinks in the all life periods, so it is mainly made for the physiological interest on the relation between the drinking habits and the time of his life. Additionally the physiological patient can be shown on the ride side of Figure 1 which substances he/she had taken too much.

[[Image:GetraenkeView life.png|center|400px|thumb|Fig.1: Drinks-view with selected bar.]]

Figure 2 shows the amount of the different substances on (optional) one day in (optional) milligram.

[[Image:SubstanzenView day.png|center|400px|thumb|Fig.2: Substance-view with selected bar.]]

Additionally we think about a drag-and-drop and copy-option for the different life periods, because maybe Homer has more than one time lovesickness.
Also more than the given drinks could be added.

===References===
*[Few, 2004]:Stephen Few, Show Me the Numbers: Designing Tables and Graphs to Enlighten, Analytics Press, 2004, Appendix A - Table and Graph Design at a Glance.

== 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 02|Gruppe 02]]

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 02 - Aufgabe 4

2009-02-01T04:22:07Z

UE-InfoVis0809 0409282:

== 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===
*Application area analysis & dataset analysis
The predefined dataset describes Homer Simpson's lifetime beverage consumption. 
We distinguish between beverages (water, milk, juice, cola, café, and beer), contained substances (sugar, alcohol, caffeine), and their according recommended daily allowance (RDA). As actual data, we store ingested liters of fluids and the time of consumption (=life-period like child ship, puberty, unemployment, marriage, birth of children, retirement, divorce, illness,..). 
For measurement of consumed drinks, we use the ordinal data type Liter and for substances kilogram or gram, the life period is considered as nominal type and can also directly be linked to a specific age or time span. This results in a dataset structure of two dimensions with additional date-selection.
 
[[Image:Homer.gif]]

*Target group analysis
The visualization is tended for medical and psychological stakeholders an their patients; to discuss easily the problems of their drinking habits and their solution. The medical view expresses the consumption of substances like sugar, alcohol and caffeine whereas the psychological view details the intake of fluids. With Homer Simpson’s dataset it is also possible to demonstrate the overall intake of amounts of sugar and similar harmful substances to children. Nevertheless the interface for the visualization should be easily comprehended and user friendly to be able to be operated by different target groups.

*Goal
The goal of the visualization is to get a quick and detailed overview on Homer Simpson’s drinking behavior depending his current life period and circumstances. It should be possible to identify the accumulated quantities of substances in relation to the recommended maximum dose. The interactive visualization should also offer an option to select considered fluids.
===Concept ===

*Visualization
We should use graphs, when the message is contained in the shape of the values and the document you produce will be used to reveal relationship among multiple values [Few, 2004]. In our task about Homer Simpson's drink consumption are too much different values that have to be shown, that a table all alone won't show the information clearly enough.

* Visual Mapping
We separate the two different views for medical and psychologic interests: 
On the psychologic or "drink"-view of our data, the drinks to be shown are selected:
The different life periods are mapped onto the x-axis and the consumed amount (in liters) onto the y-axis. 
On the medical or "substance"-view, the sugar-, caffeine- and alcohol-rates can be examined:
Again, the various life periods are shown on the x-axis. For each period, the amounts of consumed substances sugar, caffeine and alcohol are mapped onto the y-axis in multiples of the according RDA. We put a horizontal line where y equals one RDA. That way, it is easy recognizable which substance consumption exceeds one RDA.

*Description of the technologies
We use a bar diagram to show our nominal dataset, because a simple comparison of the categorical subdivision of one or more measures in no particular order can be shown very easy by this visualization[Few, 2004]. 
On the "substance"-view, we decided to show (for the medicine view) the differences to the maximal dosis by mapping the substances on an RDA scale, where the maximum dose is clearly shown by the horizontal line [Few, 2004]. The bars then show whether Homer Simpson's drinking behavior was adequate for each period, and if not, by how much one RDA was exceeded.

*Interaction
The user can choose between the drinks-view and the substances-view by selecting the according radio button left of the currently displayed diagram (panel "Anzeige"). In the panel "Getränke", one can select up to three drinks for simultanous comparison. This can be done independently form the current view. 
In the "drinks"-view, the legend above the diagram defines the bar colors for all drinks. When a single bar is selected, a floating panel emerges showing the exact consumption of the according drink for that period. Further, all contained substances are listed with their exact value and unit.
In the substances-view, the legend above the main diagram defines the colors for the three covered substances. If a single bar is selected, the emergin panel reveals the exact amount and unit of the according substance consumed in that period, the appropriate RDA value, the substance-specific RDA in its unit (gram, milligram) and a breakdown into drinks, so that one can track the ratio of each drink that contributes to the total.

*MockUp

Figure 1 shows three different drinks in the all life periods, so it is made for the physiological interest on the relation between the drinking habits and the time of his life.

[[Image:GetraenkeView life.png|center|400px|thumb|Fig.1: Drinks-view with selected bar.]]

Figure 2 is made for the medicinical interest on the deviation to the recommended maximum dose.

[[Image:SubstanzenView day.png|center|400px|thumb|Fig.2: Substance-view with selected bar.]]

Additionally we think about a drag-and-drop and copy-option for the different life periods, because maybe Homer has more than one time lovesickness.
Also more than the given drinks could be added.

===References===
*[Few, 2004]:Stephen Few, Show Me the Numbers: Designing Tables and Graphs to Enlighten, Analytics Press, 2004, Appendix A - Table and Graph Design at a Glance.

== 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 02|Gruppe 02]]

File:SubstanzenView day.png

2009-02-01T04:10:39Z

UE-InfoVis0809 0409282: Substances-View Periode Day in mg

== Beschreibung ==
Substances-View Periode Day in mg
== Copyright status ==
[Schiffl, 2008]
== Source ==

File:GetraenkeView life.png

2009-02-01T04:09:12Z

UE-InfoVis0809 0409282: Drinks-View Periode Life

== Beschreibung ==
Drinks-View Periode Life
== Copyright status ==
[Schiffl, 2008]
== Source ==

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 02 - Aufgabe 4

2009-01-30T21:11:50Z

UE-InfoVis0809 0409282:

== 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===
*Application area analysis & dataset analysis
The predefined dataset describes Homer Simpson's lifetime beverage consumption. 
We distinguish between beverages (water, milk, juice, cola, café, and beer), contained substances (sugar, alcohol, caffeine), and their according recommended daily allowance (RDA). As actual data, we store ingested liters of fluids and the time of consumption (=life-period like child ship, puberty, unemployment, marriage, birth of children, retirement, divorce, illness,..). 
For measurement of consumed drinks, we use the ordinal data type Liter and for substances kilogram or gram, the life period is considered as nominal type and can also directly be linked to a specific age or time span. This results in a dataset structure of two dimensions with additional date-selection.
 
[[Image:Homer.gif]]

*Target group analysis
The visualization is tended for medical and psychological stakeholders an their patients; to discuss easily the problems of their drinking habits and their solution. The medical view expresses the consumption of substances like sugar, alcohol and caffeine whereas the psychological view details the intake of fluids. With Homer Simpson’s dataset it is also possible to demonstrate the overall intake of amounts of sugar and similar harmful substances to children. Nevertheless the interface for the visualization should be easily comprehended and user friendly to be able to be operated by different target groups.

*Goal
The goal of the visualization is to get a quick and detailed overview on Homer Simpson’s drinking behavior depending his current life period and circumstances. It should be possible to identify the accumulated quantities of substances in relation to the recommended maximum dose. The interactive visualization should also offer an option to select considered fluids.
===Concept ===

*Visualization
We should use graphs, when the message is contained in the shape of the values and the document you produce will be used to reveal relationship among multiple values [Few, 2004]. In our task about Homer Simpson's drink consumption are too much different values that have to be shown, that a table all alone won't show the information clearly enough.

* Visual Mapping
We separate the two different views for medical and psychologic interests: 
On the psychologic or "drink"-view of our data, the drinks to be shown are selected:
The different life periods are mapped onto the x-axis and the consumed amount (in liters) onto the y-axis. 
On the medical or "substance"-view, the sugar-, caffeine- and alcohol-rates can be examined:
Again, the various life periods are shown on the x-axis. For each period, the amounts of consumed substances sugar, caffeine and alcohol are mapped onto the y-axis in multiples of the according RDA. We put a horizontal line where y equals one RDA. That way, it is easy recognizable which substance consumption exceeds one RDA.

*Description of the technologies
We use a bar diagram to show our nominal dataset, because a simple comparison of the categorical subdivision of one or more measures in no particular order can be shown very easy by this visualization[Few, 2004]. 
On the "substance"-view, we decided to show (for the medicine view) the differences to the maximal dosis by mapping the substances on an RDA scale, where the maximum dose is clearly shown by the horizontal line [Few, 2004]. The bars then show whether Homer Simpson's drinking behavior was adequate for each period, and if not, by how much one RDA was exceeded.

*Interaction
The user can choose between the drinks-view and the substances-view by selecting the according radio button left of the currently displayed diagram (panel "Anzeige"). In the panel "Getränke", one can select up to three drinks for simultanous comparison. This can be done independently form the current view. 
In the "drinks"-view, the legend above the diagram defines the bar colors for all drinks. When a single bar is selected, a floating panel emerges showing the exact consumption of the according drink for that period. Further, all contained substances are listed with their exact value and unit.
In the substances-view, the legend above the main diagram defines the colors for the three covered substances. If a single bar is selected, the emergin panel reveals the exact amount and unit of the according substance consumed in that period, the appropriate RDA value, the substance-specific RDA in its unit (gram, milligram) and a breakdown into drinks, so that one can track the ratio of each drink that contributes to the total.

*MockUp

Figure 1 shows three different drinks in the all life periods, so it is made for the physiological interest on the relation between the drinking habits and the time of his life.

[[Image:Aufgabe4_G.jpg|center|400px|thumb|Fig.1: Drinks-view with selected bar.]]

Figure 2 is made for the medicinical interest on the deviation to the recommended maximum dose.

[[Image:Aufgabe4_S.jpg|center|400px|thumb|Fig.2: Substance-view with selected bar.]]

Additionally we think about a drag-and-drop and copy-option for the different life periods, because maybe Homer has more than one time lovesickness.
Also more than the given drinks could be added.

===References===
*[Few, 2004]:Stephen Few, Show Me the Numbers: Designing Tables and Graphs to Enlighten, Analytics Press, 2004, Appendix A - Table and Graph Design at a Glance.

== 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 02|Gruppe 02]]

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 02 - Aufgabe 4

2009-01-08T02:21:44Z

UE-InfoVis0809 0409282:

== 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===
*Application area analysis & dataset analysis
The predefined dataset describes Homer Simpson's lifetime beverage consumption. 
We distinguish between beverages (water, milk, juice, cola, café, and beer), contained substances (sugar, alcohol, caffeine), and their according recommended daily allowance (RDA). As actual data, we store ingested liters of fluids and the time of consumption (=life-period like child ship, puberty, unemployment, marriage, birth of children, retirement, divorce, illness,..). The exact amounts of substances contained in drinks are stored separately and are not subject of primary interest. A special issue is the unknown number of sugar cubes per café. 
For measurement of consumed drinks, we use the ordinal data type Liter and for substances kilogram or gram, the life period is considered as nominal type and cannot directly be linked to a specific age or time span. This results in a dataset structure of two dimensions.
 
[[Image:Homer.gif]]

*Target group analysis
The visualization is tended for medical and psychological stakeholders. The medical view expresses the consumption of substances like sugar, alcohol and caffeine whereas the psychological view details the intake of fluids. With Homer Simpson’s dataset it is also possible to demonstrate the overall intake of amounts of sugar and similar harmful substances to children. Nevertheless the interface for the visualization should be easily comprehended and user friendly to be able to be operated by different target groups.

*Goal
The goal of the visualization is to get a quick and detailed overview on Homer Simpson’s drinking behavior depending his current life period and circumstances. It should be possible to identify the accumulated quantities of substances in relation to the recommended maximum dose. The interactive visualization should also offer an option to select considered fluids.
===Concept ===

*Visualization
We should use graphs, when the message is contained in the shape of the values and the document you produce will be used to reveal relationship among multiple values [Few, 2004]. In our task about Homer Simpson's drink consumption are too much different values that have to be shown, that a table all alone won't show the information clearly enough.

* Visual Mapping
We separate the two different views for medical and psychologic interests: 
On the psychologic or "drink"-view of our data, the drinks to be shown are selected:
The different life periods are mapped onto the x-axis and the consumed amount (in liters) onto the y-axis. 
On the medical or "substance"-view, the sugar-, caffeine- and alcohol-rates can be examined:
Again, the various life periods are shown on the x-axis. For each period, the amounts of consumed substances sugar, caffeine and alcohol are mapped onto the y-axis in multiples of the according RDA. We put a horizontal line where y equals one RDA. That way, it is easy recognizable which substance consumption exceeds one RDA.

*Description of the technologies
We use a bar diagram to show our nominal dataset, because a simple comparison of the categorical subdivision of one or more measures in no particular order can be shown very easy by this visualization[Few, 2004]. 
On the "substance"-view, we decided to show (for the medicine view) the differences to the maximal dosis by mapping the substances on an RDA scale, where the maximum dose is clearly shown by the horizontal line [Few, 2004]. The bars then show whether Homer Simpson's drinking behavior was adequate for each period, and if not, by how much one RDA was exceeded.

*Interaction
The user can choose between the drinks-view and the substances-view by selecting the according radio button left of the currently displayed diagram (panel "Anzeige"). In the panel "Getränke", one can select up to three drinks for simultanous comparison. This can be done independently form the current view. 
In the "drinks"-view, the legend above the diagram defines the bar colors for all drinks. When a single bar is selected, a floating panel emerges showing the exact consumption of the according drink for that period. Further, all contained substances are listed with their exact value and unit.
In the substances-view, the legend above the main diagram defines the colors for the three covered substances. If a single bar is selected, the emergin panel reveals the exact amount and unit of the according substance consumed in that period, the appropriate RDA value, the substance-specific RDA in its unit (gram, milligram) and a breakdown into drinks, so that one can track the ratio of each drink that contributes to the total.

*MockUp

Figure 1 shows three different drinks in the all life periods, so it is made for the physiological interest on the relation between the drinking habits and the time of his life.

[[Image:Aufgabe4_G.jpg|center|400px|thumb|Fig.1: Drinks-view with selected bar.]]

Figure 2 is made for the medicinical interest on the deviation to the recommended maximum dose.

[[Image:Aufgabe4_S.jpg|center|400px|thumb|Fig.2: Substance-view with selected bar.]]

Additionally we think about a drag-and-drop and copy-option for the different life periods, because maybe Homer has more than one time lovesickness.
Also more than the given drinks could be added.

===References===
*[Few, 2004]:Stephen Few, Show Me the Numbers: Designing Tables and Graphs to Enlighten, Analytics Press, 2004, Appendix A - Table and Graph Design at a Glance.

== 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 02|Gruppe 02]]

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 02 - Aufgabe 4

2008-12-22T16:35:05Z

UE-InfoVis0809 0409282:

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 02 - Aufgabe 3

2008-12-08T01:54:06Z

UE-InfoVis0809 0409282:

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

=== Zu beurteilende Grafik ===
[[Image:GeldfuerdenStaat.gif]] 
Beitrag der Steuerpflichtigen zum Einkommensteueraufkommen

===Critics on the table===
*little data-ink ratio
There is too many unnecessary ink used for the graphic, because the important text and values need less place against the borders around them, but not enough to stand out clearly.
The greater the ratio of the ink that you use to communicate the data to the total
amount of ink in the table or graph (i.e., the closer its value is to one), the better
you’ve highlighted the data [Few 2004b].

*visual clutter
**The misalignment of the spending graphic makes the scanning down and across difficult, because we are more sensitve to the vertical and horizontal alignment than we might imagine [Few, 2004a]. If we want to stand out some data, it would be helpful, but in this scenario it isn't.
**The objects positioned on the right are also less seen than the objects positioned on the top, left or in the center and this graphic spent to the right. So the region which could include the easy seen data is unnecessarily white[Few 2004a].
**The unstructured ordering of the pie charts makes it difficult to separatly scan the major content. Firstly there are too much little pie charts which stand nearly in front of each other and enclosure data "too much".
**Secondly the alignmet of the pie charts is different from line to line. But when using indentation, it should be far enough to make the intention clear[Few, 2004a].
**Darker and brighter color makes the contrasting information stand out from the norm[Few, 2004a]. So the red data and pie charts stand out in the graphic, but they aren't as important as they look. The last "100%- and lowest-income-row" doesn't underline the title of the graphic "The richest pay the most". This information would show the first row, but this one isn't red-coloured.
So the most important data isn't standing out in this graphic.

*Organisation of the data

The way the diagram presents the data doesn't fit the message in the header at all. It's not crucial to know that 50 percentage of taxpayers whose gross income is more than 26600 € are paying 93.7 percentage of the collective income tax. To deliver the message correctly it's better to segment the data into meaningful subsets [Few 2004b]. Thus you group the gross income data into groups with upper and lower limits and recalculate the collective tax proportion for these boundaries. Accordingly you have separated the different income groups and can point out the specific tax proportion. Now it's clearly visible that the biggest fraction of taxpayers whose income is between 8,100€ and 29,450€ (55 percentage) are in fact paying only 9 percentage and the smallest and richest fraction are nearly paying half of the overall income tax (45.7%).

===Correction of the table ===

[[Image:Teaching_DiagramVariante2d.jpg|400px|Redesigned diargram]]

===Which changes have been made and why is the changed one better than the original table?===

*Data Type Analysis
There are three dimensions: income, percentage in population and percentage in tax revenue of which the latter two share the same unit. The dimension of income class is discrete with a range of six possible values, but with a rather continuous underlying domain (Euro). Further, the highest income class is special in that it lacks an upper bound.

*Diagram redesign

First, we thought of the simplest variant, a plot of income classes on the x-axis against percentage on the y-axis with linearly interconnected data points. In order to keep income classes to scale and thus minimizing the lie factor, the x-axis’s unit was set to Euro so classes were represented by the mean of their bounds. The result was two intersecting curves, each made up of six points with non-equidistant x-components due to non-uniform class width. The center of the upwardly boundless income class was chosen arbitrarily (about the mean class width). The disadvantage of this solution is having two curves in the same display range.

The second approach was a custom diagram, quite similar to the well known population pyramid: one axis (or column) of classes with laterally protruding percentage indicators. As in the first approach, the class width (height in this case) was chosen to scale of according Euro bounds, avoiding lie effects. The problem with adjacent bars as indicators is that without filling, their contours have a distracting effect. Also, the observer then might misinterpret the bars’ surface area as a representation of data (fine idea, but impossible with the constraint of having both axis to scale). Therefore, we chose pins, again with origins centered on class means. The advantage of this diagram is having separated two variables with the same unit plotted against the dependent variable (class). The effect, especially with a dataset like this, is like the one of an unbalanced balance and immediately reveals the situation.

First, income classes were only indicated on a vertical line with horizontal dashes. Although this amplified the described balance effect, there was no space for calss labels. One would have had to add a scale and labels at the left and right border of the diagram, unnecessarily doubling ink. So we decided to adhere to the population pyramid and place the class labeling in the center.

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

*[Few, 2004b]: Stephen Few, Elegance Through Simplicity, intelligent enterprise, Oct 16, 2004.
[http://www.intelligententerprise.com/showArticle.jhtml;jsessionid=N2ATDQWY5VYKSQSNDBGCKHSCJUMEKJVN?articleID=49400920 http://www.intelligententerprise.com/showArticle.jhtml;jsessionid=N2ATDQWY5VYKSQSNDBGCKHSCJUMEKJVN?articleID=49400920]

*

== 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 02|Gruppe 02]]

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 02 - Aufgabe 3

2008-12-08T01:49:59Z

UE-InfoVis0809 0409282:

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

=== Zu beurteilende Grafik ===
[[Image:GeldfuerdenStaat.gif]] 
Beitrag der Steuerpflichtigen zum Einkommensteueraufkommen

===Critics on the table===
*little data-ink ratio
There is too many unnecessary ink used for the graphic, because the important text and values need less place against the borders around them, but not enough to stand out clearly.
The greater the ratio of the ink that you use to communicate the data to the total
amount of ink in the table or graph (i.e., the closer its value is to one), the better
you’ve highlighted the data [Few 2004b].

*visual clutter
**The misalignment of the spending graphic makes the scanning down and across difficult, because we are more sensitve to the vertical and horizontal alignment than we might imagine [Few, 2004a]. If we want to stand out some data, it would be helpful, but in this scenario it isn't.
**The objects positioned on the right are also less seen than the objects positioned on the top, left or in the center and this graphic spent to the right. So the region which could include the easy seen data is unnecessarily white[Few 2004a].
**The unstructured ordering of the pie charts makes it difficult to separatly scan the major content. Firstly there are too much little pie charts which stand nearly in front of each other and enclosure data "too much".
**Secondly the alignmet of the pie charts is different from line to line. But when using indentation, it should be far enough to make the intention clear[Few, 2004a].
**Darker and brighter color makes the contrasting information stand out from the norm[Few, 2004a]. So the red data and pie charts stand out in the graphic, but they aren't as important as they look. The last "100%- and lowest-income-row" doesn't underline the title of the graphic "The richest pay the most". This information would show the first row, but this one isn't red-coloured.
So the most important data isn't standing out in this graphic.

*Organisation of the data

The way the diagram presents the data doesn't fit the message in the header at all. It's not crucial to know that 50 percentage of taxpayers whose gross income is more than 26600 € are paying 93.7 percentage of the collective income tax. To deliver the message correctly it's better to segment the data into meaningful subsets [Few 2004b]. Thus you group the gross income data into groups with upper and lower limits and recalculate the collective tax proportion for these boundaries. Accordingly you have separated the different income groups and can point out the specific tax proportion. Now it's clearly visible that the biggest fraction of taxpayers whose income is between 8,100€ and 29,450€ (55 percentage) are in fact paying only 9 percentage and the smallest and richest fraction are nearly paying half of the overall income tax (45.7%).

===Correction of the table ===

[[Image:Teaching_DiagramVariante2d.jpg|right|200px|thumb|Redesigned diargram]]

===Which changes have been made and why is the changed one better than the original table?===

*Data Type Analysis
There are three dimensions: income, percentage in population and percentage in tax revenue of which the latter two share the same unit. The dimension of income class is discrete with a range of six possible values, but with a rather continuous underlying domain (Euro). Further, the highest income class is special in that it lacks an upper bound.

*Diagram redesign

First, we thought of the simplest variant, a plot of income classes on the x-axis against percentage on the y-axis with linearly interconnected data points. In order to keep income classes to scale and thus minimizing the lie factor, the x-axis’s unit was set to Euro so classes were represented by the mean of their bounds. The result was two intersecting curves, each made up of six points with non-equidistant x-components due to non-uniform class width. The center of the upwardly boundless income class was chosen arbitrarily (about the mean class width). The disadvantage of this solution is having two curves in the same display range.

The second approach was a custom diagram, quite similar to the well known population pyramid: one axis (or column) of classes with laterally protruding percentage indicators. As in the first approach, the class width (height in this case) was chosen to scale of according Euro bounds, avoiding lie effects. The problem with adjacent bars as indicators is that without filling, their contours have a distracting effect. Also, the observer then might misinterpret the bars’ surface area as a representation of data (fine idea, but impossible with the constraint of having both axis to scale). Therefore, we chose pins, again with origins centered on class means. The advantage of this diagram is having separated two variables with the same unit plotted against the dependent variable (class). The effect, especially with a dataset like this, is like the one of an unbalanced balance and immediately reveals the situation.

First, income classes were only indicated on a vertical line with horizontal dashes. Although this amplified the described balance effect, there was no space for calss labels. One would have had to add a scale and labels at the left and right border of the diagram, unnecessarily doubling ink. So we decided to adhere to the population pyramid and place the class labeling in the center.

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

*[Few, 2004b]: Stephen Few, Elegance Through Simplicity, intelligent enterprise, Oct 16, 2004.
[http://www.intelligententerprise.com/showArticle.jhtml;jsessionid=N2ATDQWY5VYKSQSNDBGCKHSCJUMEKJVN?articleID=49400920 http://www.intelligententerprise.com/showArticle.jhtml;jsessionid=N2ATDQWY5VYKSQSNDBGCKHSCJUMEKJVN?articleID=49400920]

*

== 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 02|Gruppe 02]]

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 02 - Aufgabe 3

2008-12-04T11:29:50Z

UE-InfoVis0809 0409282:

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 02 - Aufgabe 3

2008-12-04T11:28:20Z

UE-InfoVis0809 0409282:

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 02 - Aufgabe 3

2008-12-04T11:25:34Z

UE-InfoVis0809 0409282:

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 02 - Aufgabe 3

2008-12-04T11:15:41Z

UE-InfoVis0809 0409282:

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 02 - Aufgabe 3

2008-12-04T11:14:12Z

UE-InfoVis0809 0409282:

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 02 - Aufgabe 3

2008-12-04T11:05:19Z

UE-InfoVis0809 0409282:

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 02 - Aufgabe 3

2008-12-04T10:39:40Z

UE-InfoVis0809 0409282:

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 02 - Aufgabe 3

2008-11-22T01:38:42Z

UE-InfoVis0809 0409282:

File:Corrected table.jpg

2008-11-18T00:13:45Z

UE-InfoVis0809 0409282:

== Beschreibung ==
Figure2: corrected table
== Copyright status ==

== Source ==
[Beranek and Schiffl, 2008]

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 02 - Aufgabe 2

2008-11-16T05:36:19Z

UE-InfoVis0809 0409282:

== Aufgabenstellung ==
[http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/infovis_ue_aufgabe2.html Beschreibung der Aufgabe 2]

=== Zu beurteilende Tabelle ===

[[Image:Trace_stats04.gif]]

===Critics on the table===
* distracting grid
:The grid make the table difficult to read, because it distract the eyes. Less rulers and grid would increase the table's effectiveness[Few, 2004]. So more white space around the data and the table would be better.
[[Image:PartsOfTable.jpg|right|200px|thumb|Figure1: parts of a table [Few, 2004] ]]
* missing labels = missing information
:The table's information isn't clear defined, because of the missing Title/Header.
:In addition there should be a title AND subheader because of the multiple variables. So the column should be titled with the name following by the units of measurement[Wallace, 2004].
:Figure1 shows the parts of a table and their naming.

* bad ordering of the data
**column Sequence
*:The categorical subdivision should be arranged down the rows of a single column to the left of the quantitative values associated with them[Few, 2004]. So the information of the table would be shown better by placing the data of the columns in the rows an the data of the rows in the columns.
**data sequence
*:The ordering of the data in the first row isn't logic, so I would prefer to place the products in an ascending or descending order of the first column values. It is also impossible to have a conventional order based on alphabetical sequence, which is useful for look-up purposes but isn't meaningful otherwise[Few, 2004].

* centered alignment of the values and the text
:-make it difficult to read the table.
:Numbers that represent quantitative values should always be aligned to the right and text to the right[Few, 2004]. All the numbers in the columns should line up with each other and with their headings[Wallace, 2004], each using same number of decimal digits.

* number precision
:Some numbers in the table should and could be reduced without the loss of meaningful information to line up with each other in the column.
:To make the reading of the table easily, it is also preferred to truncate the display of whole numbers by sets of three decimal digits, and declare it in the title or header[Few, 2004] and not in the table body like in the "total bytes transferred"-row.

===Correction on the table ===

[[Image:Corrected_table.jpg]]

===Which changes have been made and why is the changed one better than the original table?===
*The table gets a title, subtitel, a coulmn-titel also for the first column and the header-names has been easily changed, because of the multiple variables, which made the understanding of the data in the table easier.
*Only one rule is used to separate the headers of the columns and rows and push the data in the columns together, but it's enough white space left between the data in the rows and the line-headers to see a clearly separation.
*The quantitative values of the cateogirical subdivision: "WWW", "Gator", "Cydoor", "SaveNow" and "eZula" have been sequenced from left to right, so the data of the rows have been moved to the columns and vice versa, because the comparison of numbers is easier when they are stacked.
*The place of the "SaveNow"-data has been changed with the place of the "eZula"-data to get an hierachical order in the first column of the quantitative values, which looks more logical.
*The numbers and their column-headers have been aligned to the left and the text of the first column to the right to show the parts of the table clearly; like in Figure1.
*The "number of clients"- and "contacted servers"-values has been reduced to an integer. The "transferred bytes" has been truncated to MB to line up with each other in the column to make the comparison down the columns easier than the centered, different numbers and units of measurement in the table before. So I declare this units in the column-header.

===References===
*[Few, 2004]:Stephen Few, Show Me the Numbers: Designing Tables and Graphs to Enlighten, Analytics Press, 2004, Chapter 8 - Table Design.

*[Wallace, 2004]: Rosa Wallace, Designing Tables, NC State University LabWrite Resources, 2004.
[http://www.ncsu.edu/labwrite/res/gh/gh-tables.html http://www.ncsu.edu/labwrite/res/gh/gh-tables.html]

== 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 02|Gruppe 02]]

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 02 - Aufgabe 2

2008-11-16T05:23:40Z

UE-InfoVis0809 0409282:

== Aufgabenstellung ==
[http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/infovis_ue_aufgabe2.html Beschreibung der Aufgabe 2]

=== Zu beurteilende Tabelle ===

[[Image:Trace_stats04.gif]]

===Critics on the table===
* distracting grid
:The grid make the table difficult to read, because it distract the eyes. Less rulers and grid would increase the table's effectiveness[Few, 2004]. So more white space around the data and the table would be better.
[[Image:PartsOfTable.jpg|right|200px|thumb|Figure1: parts of a table [Few, 2004] ]]
* missing labels = missing information
:The table's information isn't clear defined, because of the missing Title/Header.
:In addition there should be a title AND subheader because of the multiple variables. So the column should be titled with the name following by the units of measurement[Wallace, 2004].
:Figure1 shows the parts of a table and their naming.

* bad ordering of the data
**column Sequence
*:The categorical subdivision should be arranged down the rows of a single column to the left of the quantitative values associated with them[Few, 2004]. So the information of the table would be shown better by placing the data of the columns in the rows an the data of the rows in the columns.
**data sequence
*:The ordering of the data in the first row isn't logic, so I would prefer to place the products in an ascending or descending order of the first column values. It is also impossible to have a conventional order based on alphabetical sequence, which is useful for look-up purposes but isn't meaningful otherwise[Few, 2004].

* centered alignment of the values and the text
:-make it difficult to read the table.
:Numbers that represent quantitative values should always be aligned to the right and text to the right[Few, 2004]. All the numbers in the columns should line up with each other and with their headings[Wallace, 2004], each using same number of decimal digits.

* number precision
:Some numbers in the table should and could be reduced without the loss of meaningful information to line up with each other in the column.
:To make the reading of the table easily, it is also preferred to truncate the display of whole numbers by sets of three decimal digits, and declare it in the title or header[Few, 2004] and not in the table body like in the "total bytes transferred"-row.

===Correction on the table ===

[[Image:Corrected_table.jpg]]

===Which changes have been made and why is the changed one better than the original table?===
*The table gets a title, subtitel, a coulmn-titel also for the first column and the header-names has been easily changed, because of the multiple variables, which made the understanding of the data in the table easier.
*Only one rule is used to separate the headers of the columns and rows and push the data in the columns together, but it's leaved enough white space between the data in the rows and the headers to see a clearly separation.
*The quantitative values of the cateogirical subdivision: "WWW", "Gator", "Cydoor", "SaveNow" and "eZula" have been sequenced from left to right, so the data of the rows have been moved to the columns and vice versa, because the comparison of numbers is easier when they are stacked.
*The place of the "SaveNow"-data has been changed with the place of the "eZula"-data to get an hierachical order in the first column of the quantitative values, which looks more logical.
*The numbers and their column-headers have been aligned to the left and the text of the first column to the right to show the parts of the table clearly; like in Figure1.
*The "number of clients"- and "contacted servers"-values has been reduced to an integer. The "transferred bytes" has been truncated to MB to line up with each other in the column to make the comparison down the columns easier than the centered, different numbers and units of measurement in the table before. So I declare this units in the column-header.

===References===
*[Few, 2004]:Stephen Few, Show Me the Numbers: Designing Tables and Graphs to Enlighten, Analytics Press, 2004, Chapter 8 - Table Design.
??? [http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/download/ShowMetheNumbers-Chapter8_ue.pdf http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/download/ShowMetheNumbers-Chapter8_ue.pdf] ???
*[Wallace, 2004]: Rosa Wallace, Designing Tables, NC State University LabWrite Resources, 2004.
[http://www.ncsu.edu/labwrite/res/gh/gh-tables.html http://www.ncsu.edu/labwrite/res/gh/gh-tables.html]

== 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 02|Gruppe 02]]

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 02 - Aufgabe 1 - Scatterplot

2008-11-16T04:59:10Z

UE-InfoVis0809 0409282:

A scatterplot (also called a ''scatter chart'', ''scatter diagram'' or ''scatter graph'' [Wikipedia1, 2008]) is a diagram in which the values of two ''metric'' variables are applied to the horizontal and vertical axes of a cartesian coordinate system. The resulting point in the graph represents one record from a data set. The distribution pattern of points from multiple records reveals, among other qualities, the correlation between the selected variables in the data set. The scatterplot is not to be confused with the ''correlation plot'' [NIST, 2008] which treats already adopted correlation coefficients in different data groups, while the term ''correlation diagram'' does not seem to be bound.

===Revealed Information===

Perfect linear correlation results in all samples lying on the regression line with positive or negative incline dependent on the sign of the correlation coefficient [MSTE, 1997]. Note, that the nonzero incline of the line is insignificant in this kind of diagram [Wikipedia 3, 2008] since it is dependent on axis scales.

An example of perfect correlation can be seen in Figure1 together with other patterns: strong
positive, weak negative and one example of variables without significant correlation.

[[Image:SomeScatterplots.jpg|right|200px|thumb|Figure1: Some scatterplots.]]

Figure2 features a regression line to further increase expressiveness. The regression function is not necessarily chosen linear as in this example. Any kind of curve may fit a plot (quadratic, splines, ...). Generally, the curve with the smallest sum of squared distances to the points is sought after, [NetMBA, 2008]. For an introduction on linear regression, see [Wikipedia 4, 2008; Wikipedia 5, 2008].

[[Image:WeakNegativeCorrelationLine.jpg|right|200px|thumb|Figure2: Regression line.]]

Further properties of data sets that are easily discovered are the presence of clusters and outlyers(Figure3).

[[Image:ClustersOutlyers.jpg|right|200px|thumb|Figure3: Clusters, outlyers.]]

===Scatterplots of Higher Dimensions===

Scatterplots are not restricted to records with only two variables. Higher dimensional data can be displayed by adding the third axis to the plot or by assigning point properties (color, size, shape).

TODO: add figure with colored 3D plot,

For an example of a threedimensional scatterplot refer to [Wikipedia 1, 2008]. A way of plotting multidimensional data without the use of the third axis can be found in [Demsar, 2008].

===Treating Discrete Data===

For continuously distributed data, scatterplots do well in visualizing density. The problem with discrete data is the possibility of more than one record sharing one point in the diagram (''overplotting''). One solution is to alter the point representation according to density, as is achieved by ''sun flower plots'' in which each point symbol gains radial segments as a consequence, [Wikipedia 2, 2008]. Examples can be found here: [Friendly, 2006; addictedtor, 2005].

=References=

*[MSTE, 1997]: Anonymous Carolyn, Carolyn's Unit on Graphing. MSTE, University of Illinois. Retrieved at: November 2, 2008. [http://www.mste.uiuc.edu/courses/ci330ms/youtsey/scatterinfo.html http://www.mste.uiuc.edu/courses/ci330ms/youtsey/scatterinfo.html]
*[NIST, 2008] Carroll Croarkin, Paul Tobias. ''NIST/SEMATECH e-Handbook of Statistical Methods''. Retrieved at November 2, 2008 [http://www.itl.nist.gov/div898/handbook/ http://www.itl.nist.gov/div898/handbook/]
*[NetMBA, 2008] Anonymous, Scatter Plot. NetMBA. Retrieved at: 2 November, 2008. [http://www.netmba.com/statistics/plot/scatter/ http://www.netmba.com/statistics/plot/scatter/]
*[addictedtor, 2005]: Anonymous. Sun Flower Plot. R Graph Gallery. Changed: October 6, 2005 Retrieved at: 2 November, 2008. [http://addictedtor.free.fr/graphiques/graphcode.php?graph=59 http://addictedtor.free.fr/graphiques/graphcode.php?graph=59]
*[Friendly, 2006] Michael Friendly, The sunplot macro. York University. Changed at: November 2, 2006. Retrieved at: November 2, 2008 [http://www.math.yorku.ca/SCS/sasmac/sunplot.html http://www.math.yorku.ca/SCS/sasmac/sunplot.html]
*[Demsar, 2008] Janez Demsar, Simple Visualization Examples. A.I. Lab Ljubljana. Retrieved at: November 2, 2008 [http://www.ailab.si/janez/visualizations.html http://www.ailab.si/janez/visualizations.html]
*[Wikipedia 1, 2008] Scatterplot, Wikipedia. Retrieved at: November 2, 2008. [http://en.wikipedia.org/wiki/Scatterplot http://en.wikipedia.org/wiki/Scatterplot]
*[Wikipedia 2, 2008] Streudiagramm, Wikipedia. Retrieved at: November 2, 2008. [http://de.wikipedia.org/wiki/Streudiagramm http://de.wikipedia.org/wiki/Streudiagramm]
*[Wikipedia 3, 2008] Correlation, Wikipedia. Retrieved at: November 2, 2008. [http://en.wikipedia.org/wiki/Correlation http://en.wikipedia.org/wiki/Correlation]
*[Wikipedia 4, 2008] Linear Regression, Wikipedia. Retrieved at 2 November, 2008. [http://en.wikipedia.org/wiki/Linear_regression http://en.wikipedia.org/wiki/Linear_regression]
*[Wikipedia 5, 2008] Regression Analysis, Wikipedia. Retrieved at 2 November, 2008. [http://en.wikipedia.org/wiki/Regression_analysis http://en.wikipedia.org/wiki/Regression_analysis]
=External Links=

*Java Applet: [http://matti.usu.edu/nlvm/nav/frames_asid_144_g_4_t_5.html http://matti.usu.edu/nlvm/nav/frames_asid_144_g_4_t_5.html]

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 02 - Aufgabe 2

2008-11-15T18:49:44Z

UE-InfoVis0809 0409282:

== Aufgabenstellung ==
[http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/infovis_ue_aufgabe2.html Beschreibung der Aufgabe 2]

=== Zu beurteilende Tabelle ===

[[Image:Trace_stats04.gif]]

===Critics on the table===
* distracting grid
:The grid make the table difficult to read, because it distract the eyes. Less rulers and grid would increase the table's effectiveness[FEW, 2004]. So more white space around the data and the table would be better.
[[Image:PartsOfTable.jpg|right|200px|thumb|Figure1: parts of a table [FEW, 2004] ]]
* missing labels = missing information
:The table's information isn't clear defined, because of the missing Title/Header.
:In addition there should be a title AND subheader because of the multiple variables. So the column should be titled with the name following by the units of measurement[NSF, 2004].
:Figure1 shows the parts of a table and their naming.

* bad ordering of the data
**column Sequence
*:The categorical subdivision should be arranged down the rows of a single column to the left of the quantitative values associated with them[FEW, 2004]. So the information of the table would be shown better by placing the data of the columns in the rows an the data of the rows in the columns.
**data sequence
*:The ordering of the data in the first row isn't logic, so I would prefer to place the products in an ascending or descending order of the first column values. It is also impossible to have a conventional order based on alphabetical sequence, which is useful for look-up purposes but isn't meaningful otherwise[FEW, 2004].

* centered alignment of the values and the text
:-make it difficult to read the table.
:Numbers that represent quantitative values should always be aligned to the right and text to the right[FEW, 2004]. All the numbers in the columns should line up with each other and with their headings[NSF, 2004], each using same number of decimal digits.

* number precision
:Some numbers in the table should and could be reduced without the loss of meaningful information to line up with each other in the column.
:To make the reading of the table easily, it is also preferred to truncate the display of whole numbers by sets of three decimal digits, and declare it in the title or header[FEW, 2004] and not in the table body like in the "total bytes transferred"-row.

===Correction on the table ===

[[Image:Corrected_table.jpg]]

===Which changes have been made and why is the changed one better than the original table?===
*The table gets a title, subtitel and a coulmn-titel also for the first column, because of the multiple variables, which made the understanding of the data in the table easier.
*Only one rule is used to separate the headers of the columns and rows and push the data in the columns together, but it's leaved enough white space between the data in the rows and the headers to see a clearly separation.
*The quantitative values of the cateogirical subdivision: "WWW", "Gator", "Cydoor", "SaveNow" and "eZula" have been sequenced from left to right, so the data of the rows have been moved to the columns and vice versa.
?
*The place of the "SaveNow"-data has been changed with the place of the "eZula"-data to get an hierachical order in the first column of the quantitative values, which looks more logical.
*The Numbers have been aligned to the left and the text to the right.
?
*The "number of clients"-value has been reduced to an integer and the other values has also been truncated to line up with each other in the column to make the reading down the columns easier than the centered numbers in the table before.

===References===
*[FEW, 2004]:Stephen Few, Show Me the Numbers: Designing Tables and Graphs to Enlighten, Analytics Press, 2004, Chapter 8 - Table Design.
??? [http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/download/ShowMetheNumbers-Chapter8_ue.pdf http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/download/ShowMetheNumbers-Chapter8_ue.pdf] ???
*[NSF, 2004]: Rosa Wallace, Designing Tables, NC State University LabWrite Resources, 2004.
[http://www.ncsu.edu/labwrite/res/gh/gh-tables.html http://www.ncsu.edu/labwrite/res/gh/gh-tables.html]

== 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 02|Gruppe 02]]

File:Corrected table.jpg

2008-11-15T18:47:47Z

UE-InfoVis0809 0409282: corrected table

== Beschreibung ==
corrected table
== Copyright status ==

== Source ==

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 02 - Aufgabe 2

2008-11-15T18:23:16Z

UE-InfoVis0809 0409282:

== Aufgabenstellung ==
[http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/infovis_ue_aufgabe2.html Beschreibung der Aufgabe 2]

=== Zu beurteilende Tabelle ===

[[Image:Trace_stats04.gif]]

===Critics on the table===
* distracting grid
:The grid make the table difficult to read, because it distract the eyes. Less rulers and grid would increase the table's effectiveness[FEW, 2004]. So more white space around the data and the table would be better.
[[Image:PartsOfTable.jpg|right|200px|thumb|Figure1: parts of a table [FEW, 2004] ]]
* missing labels = missing information
:The table's information isn't clear defined, because of the missing Title/Header.
:In addition there should be a title AND subheader because of the multiple variables. So the column should be titled with the name following by the units of measurement[NSF, 2004].
:Figure1 shows the parts of a table and their naming.

* bad ordering of the data
**column Sequence
*:The categorical subdivision should be arranged down the rows of a single column to the left of the quantitative values associated with them[FEW, 2004]. So the information of the table would be shown better by placing the data of the columns in the rows an the data of the rows in the columns.
**data sequence
*:The ordering of the data in the first row isn't logic, so I would prefer to place the products in an ascending or descending order of the first column values. It is also impossible to have a conventional order based on alphabetical sequence, which is useful for look-up purposes but isn't meaningful otherwise[FEW, 2004].

* centered alignment of the values and the text
:-make it difficult to read the table.
:Numbers that represent quantitative values should always be aligned to the right and text to the right[FEW, 2004]. All the numbers in the columns should line up with each other and with their headings[NSF, 2004], each using same number of decimal digits.

* number precision
:Some numbers in the table should and could be reduced without the loss of meaningful information to line up with each other in the column.
:To make the reading of the table easily, it is also preferred to truncate the display of whole numbers by sets of three decimal digits, and declare it in the title or header[FEW, 2004] and not in the table body like in the "total bytes transferred"-row.

===Correction on the table ===

grafic of new table

===Which changes have been made and why is the changed one better than the original table?===
*The table gets a title, subtitel and a coulmn-titel also for the first column, because of the multiple variables, which made the understanding of the data in the table easier.
*Only one rule is used to separate the headers of the columns and rows and push the data in the columns together, but it's leaved enough white space between the data in the rows and the headers to see a clearly separation.
*The quantitative values of the cateogirical subdivision: "WWW", "Gator", "Cydoor", "SaveNow" and "eZula" have been sequenced from left to right, so the data of the rows have been moved to the columns and vice versa.
?
*The place of the "SaveNow"-data has been changed with the place of the "eZula"-data to get an hierachical order in the first column of the quantitative values, which looks more logical.
*The Numbers have been aligned to the left and the text to the right.
?
*The "number of clients"-value has been reduced to an integer and the other values has also been truncated to line up with each other in the column to make the reading down the columns easier than the centered numbers in the table before.

===References===
*[FEW, 2004]:Stephen Few, Show Me the Numbers: Designing Tables and Graphs to Enlighten, Analytics Press, 2004, Chapter 8 - Table Design.
??? [http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/download/ShowMetheNumbers-Chapter8_ue.pdf http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/download/ShowMetheNumbers-Chapter8_ue.pdf] ???
*[NSF, 2004]: Rosa Wallace, Designing Tables, NC State University LabWrite Resources, 2004.
[http://www.ncsu.edu/labwrite/res/gh/gh-tables.html http://www.ncsu.edu/labwrite/res/gh/gh-tables.html]

== 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 02|Gruppe 02]]

File:PartsOfTable.jpg

2008-11-15T18:13:18Z

UE-InfoVis0809 0409282: parts of a table [FEW, 2004]

== Beschreibung ==
parts of a table [FEW, 2004]
== Copyright status ==

== Source ==
[FEW, 2004]:Stephen Few, Show Me the Numbers: Designing Tables and Graphs to Enlighten, Analytics Press, 2004, Chapter 8 - Table Design.

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 02 - Aufgabe 2

2008-11-15T18:00:23Z

UE-InfoVis0809 0409282:

== Aufgabenstellung ==
[http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/infovis_ue_aufgabe2.html Beschreibung der Aufgabe 2]

=== Zu beurteilende Tabelle ===

[[Image:Trace_stats04.gif]]

===Critics on the table===
* distracting grid
:The grid make the table difficult to read, because it distract the eyes. Less rulers and grid would increase the table's effectiveness[FEW, 2004]. So more white space around the data and the table would be better.

* missing labels = missing information
:The table's information isn't clear defined, because of the missing Title/Header.
:In addition there should be a title AND subheader because of the multiple variables. So the column should be titled with the name following by the units of :measurement[NSF, 2004].

* bad ordering of the data
**column Sequence
*:The categorical subdivision should be arranged down the rows of a single column to the left of the quantitative values associated with them[FEW, 2004]. So the information of the table would be shown better by placing the data of the columns in the rows an the data of the rows in the columns.
**data sequence
*:The ordering of the data in the first row isn't logic, so I would prefer to place the products in an ascending or descending order of the first column values. It is also impossible to have a conventional order based on alphabetical sequence, which is useful for look-up purposes but isn't meaningful otherwise[FEW, 2004].

* centered alignment of the values and the text
:-make it difficult to read the table.
:Numbers that represent quantitative values should always be aligned to the right and text to the right[FEW, 2004]. All the numbers in the columns should line up with each other and with their headings[NSF, 2004], each using same number of decimal digits.

* number precision
:Some numbers in the table should and could be reduced without the loss of meaningful information to line up with each other in the column.
:To make the reading of the table easily, it is also preferred to truncate the display of whole numbers by sets of three decimal digits, and declare it in the title or header[FEW, 2004] and not in the table body like in the "total bytes transferred"-row.

===Correction on the table ===

grafic of new table

===Which changes have been made and why is the changed one better than the original table?===
*The table gets a title, subtitel and a coulmn-titel also for the first column, because of the multiple variables, which made the understanding of the data in the table easier.
*Only one rule is used to separate the headers of the columns and rows and push the data in the columns together, but it's leaved enough white space between the data in the rows and the headers to see a clearly separation.
*The quantitative values of the cateogirical subdivision: "WWW", "Gator", "Cydoor", "SaveNow" and "eZula" have been sequenced from left to right, so the data of the rows have been moved to the columns and vice versa.
?
*The place of the "SaveNow"-data has been changed with the place of the "eZula"-data to get an hierachical order in the first column of the quantitative values, which looks more logical.
*The Numbers have been aligned to the left and the text to the right.
?
*The "number of clients"-value has been reduced to an integer and the other values has also been truncated to line up with each other in the column to make the reading down the columns easier than the centered numbers in the table before.

===References===
*[FEW, 2004]:Stephen Few, Show Me the Numbers: Designing Tables and Graphs to Enlighten, Analytics Press, 2004, Chapter 8 - Table Design.
??? [http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/download/ShowMetheNumbers-Chapter8_ue.pdf http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/download/ShowMetheNumbers-Chapter8_ue.pdf] ???
*[NSF, 2004]: Rosa Wallace, Designing Tables, NC State University LabWrite Resources, 2004.
[http://www.ncsu.edu/labwrite/res/gh/gh-tables.html http://www.ncsu.edu/labwrite/res/gh/gh-tables.html]

== 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 02|Gruppe 02]]

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 02 - Aufgabe 2

2008-11-14T14:47:49Z

UE-InfoVis0809 0409282:

== Aufgabenstellung ==
[http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/infovis_ue_aufgabe2.html Beschreibung der Aufgabe 2]

=== Zu beurteilende Tabelle ===

[[Image:Trace_stats04.gif]]

===Critics on the table===
* distracting grid
:The grid make the table difficult to read, because it distract the eyes. Less rulers and grid would increase the table's effectiveness[FEW, 2004]. So more white space around the data and the table would be better.

* missing labels = missing information
:The table's information isn't clear defined, because of the missing Title/Header.
:In addition there should be a title AND subheader because of the multiple variables. So the column should be titled with the name following by the units of :measurement[NSF, 2004].

* bad ordering of the data
**column Sequence
*:The categorical subdivision should be arranged down the rows of a single column to the left of the quantitative values associated with them[FEW, 2004]. So the information of the table would be shown better by placing the data of the columns in the rows an the data of the rows in the columns.
**data sequence
*:The ordering of the data in the first row isn't logic, so I would prefer to place the products in an ascending or descending order of the first column values. It is also impossible to have a conventional order based on alphabetical sequence, which is useful for look-up purposes but isn't meaningful otherwise[FEW, 2004].

* centered alignment of the values and the text
:-make it difficult to read the table.
:Numbers that represent quantitative values should always be aligned to the right and text to the right[FEW, 2004]. All the numbers in the columns should line up with each other and with their headings[NSF, 2004], each using same number of decimal digits.

* number precision
:Some numbers in the table should and could be reduced without the loss of meaningful information to line up with each other in the column.
:To make the reading of the table easily, it is also preferred to truncate the display of whole numbers by sets of three decimal digits, and declare it in the title or header[FEW, 2004] and not in the table body like in the "total bytes transferred"-row.

===Correction on the table ===

grafic of new table

===Which changes have been made and why is the changed one better than the original table?===
*The table gets a title and a subtitle, because of the multiple variables, which made the understanding of the data in the table easier.
*Only one rule is used to separate the headers of the columns and rows and push the data in the columns together, but it's leaved enough white space between the data in the rows and the headers to see a clearly separation.
*The quantitative values of the cateogirical subdivision: "WWW", "Gator", "Cydoor", "SaveNow" and "eZula" have been sequenced from left to right, so the data of the rows have been moved to the columns and vice versa.
?
*The place of the "SaveNow"-data has been changed with the place of the "eZula"-data to get an hierachical order in the first column of the quantitative values, which looks more logical.
*The Numbers have been aligned to the left and the text to the right.
?
*The "number of clients"-value has been reduced to an integer and the other values has also been truncated to line up with each other in the column to make the reading down the columns easier than the centered numbers in the table before.

===References===
*[FEW, 2004]:Stephen Few, Show Me the Numbers: Designing Tables and Graphs to Enlighten, Analytics Press, 2004, Chapter 8 - Table Design.
??? [http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/download/ShowMetheNumbers-Chapter8_ue.pdf http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/download/ShowMetheNumbers-Chapter8_ue.pdf] ???
*[NSF, 2004]: Rosa Wallace, Designing Tables, NC State University LabWrite Resources, 2004.
[http://www.ncsu.edu/labwrite/res/gh/gh-tables.html http://www.ncsu.edu/labwrite/res/gh/gh-tables.html]

== 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 02|Gruppe 02]]

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 02 - Aufgabe 2

2008-11-14T13:56:35Z

UE-InfoVis0809 0409282:

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 02 - Aufgabe 2

2008-11-14T13:22:03Z

UE-InfoVis0809 0409282:

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 02 - Aufgabe 2

2008-11-13T15:51:32Z

UE-InfoVis0809 0409282:

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 02 - Aufgabe 2

2008-11-13T15:46:30Z

UE-InfoVis0809 0409282:

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 02 - Aufgabe 2

2008-11-13T15:39:06Z

UE-InfoVis0809 0409282:

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 02 - Aufgabe 2

2008-11-13T15:17:56Z

UE-InfoVis0809 0409282:

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 02 - Aufgabe 2

2008-11-10T18:55:37Z

UE-InfoVis0809 0409282:

User talk:Martha Kaltenecker

2008-11-09T02:35:50Z

UE-InfoVis0809 0409282: New page: Wann erhaltet man das Passwort des PDFs für Aufgabe 2 ?

Wann erhaltet man das Passwort des PDFs für Aufgabe 2 ?

User:UE-InfoVis0809 0409282

2008-11-06T01:57:11Z

UE-InfoVis0809 0409282:

===Katharina Schiffl===
[[{{ns:6}}:file.jpg]] 
0409282 
033 532 
e0409282@student.tuwien.ac.at 

* InfoVis-Gruppe: [[Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 02|Gruppe 02]] ([[User:UE-InfoVis0809 0126665|Beranek]], [[User:UE-InfoVis0809 9607701|Goldmann]], [[User:UE-InfoVis0809 0409282|Schiffl]])

Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 02 - Aufgabe 1 - Scatterplot

2008-11-06T01:44:01Z

UE-InfoVis0809 0409282:

A scatterplot (also called a ''scatter chart'', ''scatter diagram'' or ''scatter graph'' [Wikipedia]) is a diagram in which the values of two ''metric'' variables are applied to the horizontal and vertical axes of a cartesian coordinate system. The resulting point in the graph represents one record from a data set. The distribution pattern of points from multiple records reveals, among other qualities, the correlation between the selected variables in the data set. The scatterplot is not to be confused with the ''correlation plot'' [Information Technology Lab, NIST #2] which treats already adopted correlation coefficients in different data groups, while the term ''correlation diagram'' does not seem to be bound.

===Revealed Information===

Perfect linear correlation results in all samples lying on the regression line with positive or negative incline dependent on the sign of the correlation coefficient [University of Illinois]. Note, that the nonzero incline of the line is insignificant in this kind of diagram [Wikipedia Correlation, EN] since it is dependent on axis scales.

An example of perfect correlation can be seen on the right together with other patterns: strong positive, weak negative and one example of variables without significant correlation.

[[Image:SomeScatterplots.jpg|right|200px|thumb|Some scatterplots.]]

The plot below features a regression line to further increase expressiveness. The regression function is not necessarily chosen linear as in this example. Any kind of curve may fit a plot (quadratic, splines, ...). Generally, the curve with the smallest sum of squared distances to the points is sought after, [NetMBA].

[Wikipedia Linear Regression]

[[Image:WeakNegativeCorrelationLine.jpg|right|200px|thumb|Regression line.]]

Generally: refer to regression analysis for further ...

Further properties of data sets that are easily discovered are the presence of clusters and outlyers.

density (-> cluster analysis) & outlyers

*1 image for clusters and outlyers

===Scatterplots of Higher Dimensions===

Scatterplots are not restricted to records with only two variables. Higher dimensional data can be displayed by adding the third axis to the plotspacially or by point properties (color, size, shape)

TODO: add figure with colored 3D plot,

[Wikipedia, EN]

Nice example of plotting multidimensional data: [AI Lab]

===Treating Discrete Data===

For continuously distributed data, scatterplots do well in visualizing density. The problem with discrete data is the possibility of more than one record sharing one point in the diagram (''overplotting''). One solution is to alter the point representation according to density, as is achieved by ''sun flower plots'' in which each point symbol gains radial segments as a consequence, [Wikipedia, DE]. Examples can be found here: [York University], [addictedtor.free.fr].

=References=

*Wikipedia, EN: http://en.wikipedia.org/wiki/Scatterplot
*Wikipedia, DE: http://de.wikipedia.org/wiki/Streudiagramm
*Wikipedia Correlation, EN: http://en.wikipedia.org/wiki/Correlation
*Wikipedia Linear Regression, EN:http://en.wikipedia.org/wiki/Linear_regression
*University of Illinois: http://www.mste.uiuc.edu/courses/ci330ms/youtsey/scatterinfo.html
*Information Technology Lab, NIST #1: http://www.itl.nist.gov/div898/handbook/eda/section3/eda33q.htm
*Information Technology Lab, NIST #2: http://www.itl.nist.gov/div898/handbook/eda/section3/linecorr.htm
*NetMBA: http://www.netmba.com/statistics/plot/scatter/
*ChartItNow: http://www.chartitnow.com/scatter%20diagram.html

*addictedtor.free.fr: http://addictedtor.free.fr/graphiques/graphcode.php?graph=59
*York University: http://www.math.yorku.ca/SCS/sasmac/sunplot.html
*NLVM: http://matti.usu.edu/nlvm/nav/frames_asid_144_g_4_t_5.html

*AI Lab: http://www.ailab.si/janez/visualizations.html

Teaching:TUW - UE InfoVis WS 2008/09

2008-10-21T23:54:12Z

UE-InfoVis0809 0409282:

[[Image:Aigner03infovis ue.gif]] <big>WS 2008/09</big>

'''LVA Nr:''' 188.308 ([http://tuwis.tuwien.ac.at/lva/tuwien/188308 TUWIS++ Seite])

'''LVA Homepage:''' http://ieg.ifs.tuwien.ac.at/~gschwand/teaching/infovis_ue_ws08/index.html

'''Leitung:''' [[Gschwandtner, Theresia|Theresia Gschwandtner]] [gschwandtner (at) ifs.tuwien.ac.at] 
'''Tutorin:''' [[User:Martha_Kaltenecker|Martha Kaltenecker]] [e0125193 (at) student.tuwien.ac.at]

== Gruppen ==

[[Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 01|Gruppe 01 (KARALL, REGNER, UGUR)]]

[[Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 02|Gruppe 02 (Beranek, Goldmann, Schiffl)]]

[[Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 03|Gruppe 03 (DINCER, MAYER, MOSER)]]

[[Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 05|Gruppe 05 (KUNTNER, PINJO, WENDELIN)]]

[[Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 06|Gruppe 06 (Frank, Mayer, Rind)]]

[[Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 07|Gruppe 07 (LUCKNER, HEIL, ANGERBAUER)]]

[[Teaching:TUW - UE InfoVis WS 2007/08 - Gruppe 08|Gruppe 08]]

[[Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 10|Gruppe 10 (DEBONG, FISCHL, PETROV)]]

== News / Bemerkungen ==

User:UE-InfoVis0809 0409282

2008-10-16T16:04:17Z

UE-InfoVis0809 0409282:

===Katharina Schiffl===
[[{{ns:6}}:file.jpg]] 
0409282 
033 532 
e0409282@student.ac.at 

* InfoVis-Gruppe: [[Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 02|Gruppe 02]] ([[User:UE-InfoVis0809 0126665|Beranek]], [[User:UE-InfoVis0809 9607701|Goldmann]], [[User:UE-InfoVis0809 0409282|Schiffl]])

User:UE-InfoVis0809 0409282

2008-10-14T14:08:05Z

UE-InfoVis0809 0409282:

===Katharina Schiffl===
[[{{ns:6}}:file.jpg]] 
0409282 
033 532 
e0409282@student.ac.at

User:UE-InfoVis0809 0409282

2008-10-14T14:03:17Z

UE-InfoVis0809 0409282:

'''Katharina Schiffl'''
*[[{{ns:6}}:file.jpg]]
*0409282
*033 532
*e0409282@student.ac.at

User:UE-InfoVis0809 0409282

2008-10-14T13:58:37Z

UE-InfoVis0809 0409282: New page: '''Katharina Schiffl''' {{ns:6}}:file.jpg *0409282 *033 532 *e0409282@student.ac.at

'''Katharina Schiffl'''
[[{{ns:6}}:file.jpg]]
*0409282
*033 532
*e0409282@student.ac.at