Teaching:TUW - UE InfoVis WS 2009/10 - Gruppe 13 - Aufgabe 4: Difference between revisions
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Data are nominal and discrete. To be able to display the tree we need actually only names and surnames of particular members and then to connect and display them in tree structure. | Data are nominal and discrete. To be able to display the tree we need actually only names and surnames of particular members and then to connect and display them in tree structure. | ||
====Difference between blood and by marriage relatives==== | ====Difference between blood and by marriage relatives==== | ||
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Value is logical true/false value assigned to relationship between two people. | Value is logical true/false value assigned to relationship between two people. | ||
====Length of life==== | ====Length of life==== | ||
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The value describing length of life is discrete and numerical, e.g. 40 years. | The value describing length of life is discrete and numerical, e.g. 40 years. | ||
====Date of birth and day of death==== | ====Date of birth and day of death==== | ||
As well as length of life is this information also simple 1-dimensional data structure. | As well as length of life is this information also simple 1-dimensional data structure. | ||
Data are discrete and ordinal, e.g. 20. January 1990. | Data are discrete and ordinal, e.g. 20. January 1990. | ||
====Content (happiness)==== | ====Content (happiness)==== | ||
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* very low | * very low | ||
Time is defined in intervals to which person has one of introduced content levels assigned. | Time is defined in intervals to which person has one of introduced content levels assigned. | ||
====Important events in life==== | ====Important events in life==== | ||
Revision as of 14:30, 2 January 2010
Aufgabenstellung
Zu erstellende Visualisierung
- Stammbaum der Nachkommen von Lisa und Bart Simpson*
...Visualisierung der Nachkommen von Lisa Simpson sowie der Nachkommen von Bart Simpson. Dabei sollen zwei Stammbäume entstehen - einer von Bart und einer von Lisa - die dann miteinander verglichen werden können. Zuerst kommen Lisa und Bart, dann deren Kinder, ihre Enkel, etc. (mind 4 Generationen). Da es noch keine Nachkommen gibt, können diese frei erfunden werden.
Die Visualisierung soll folgende Informationen darstellen:
- Verwandtschaftsverhältnisse (zumindest Eltern-Kinder),
- Unterscheidung zwischen Blutsverwandtschaft und angeheirateten Familienmitgliedern,
- Geburts- und Todestag sowie Lebensdauer von allen Familienmitgliedern,
- wichtige Ereignisse im Leben jedes Familienmitglieds (z.B., Anzeigen, Gefängnisaufenthalte, Schulzeit, Studienzeit, Nobelpreise, Arbeitslosigkeit etc.)
- Zufriedenheit jedes Familienmitglieds (Skala: sehr niedrig - niedrig - mittel - hoch - sehr hoch); kann sich im Laufe des Lebens ändern.
Die Visualisierung soll die interaktive Auseinandersetzung mit den Daten ermöglichen. Verpflichtend: Möglichkeiten zum besseren Vergleich von einzelnen Abschnitten der Stammbäume bzw. Vergleich von Ausschnitten aus Lisas und Barts Stammbäumen. + mind. 2 weitere Interaktionsmöglichkeiten (z.B., Details on Demand, Filteroptionen)
Allgemein:
- Die Daten sollen zur Analyse von Zusammenhängen zwischen Familienverhältnissen, wichtigen Ereignissen und Zufriedenheit visualisiert werden (die Anwendungsgebiets- und Zielgruppenanalyse kann kurz gehalten werden).
- Die bisher erlernten Design-Prinzipien sollen umgesetzt werden z.B.: Optimierung der Data-ink ratio (keine Comics!), visuelle Attribute (Größe, Farbe, Position, etc.) sollen sinnvoll eingesetzt werden (Information darstellen).
- Die Mockups sollten zumindest 1) die beiden Stammbäume im Überblick und 2) eine detaillierte Vergleichsansicht von 2 Teil-Stammbäumen wiedergeben.
- Alle nicht angeführten Daten können frei erfunden werden.
Data set analysis
Visualization will display information about family relationships, difference between blood and by marriage relatives, dates of birth and death, length of life, content (happiness) during life, important events in life. From this the overall view should be focused on family relationships and type of family membership. The rest (length of life, birth and death dates, content, important events) are particular details of one person and therefor are not concern of other members in visualization.
Family Relationship
This information has hierarchical structure where the root of each tree are the oldest ancestors (Lisa and her husband, Bart and his wife) and leaf nodes are their (grand...)children.
Data are nominal and discrete. To be able to display the tree we need actually only names and surnames of particular members and then to connect and display them in tree structure.
Difference between blood and by marriage relatives
This requires 3-dimensional structure. First dimension and second dimension contains members of family and third describes the type of relationship where relationship exists.
Value is logical true/false value assigned to relationship between two people.
Length of life
Since this information is private for person and it won't be displayed as a summary for all members in one graph, it is simple 1-dimensional data structure.
The value describing length of life is discrete and numerical, e.g. 40 years.
Date of birth and day of death
As well as length of life is this information also simple 1-dimensional data structure. Data are discrete and ordinal, e.g. 20. January 1990.
Content (happiness)
Content of person in particular parts of life is temporal structure.
The content is ordinal discrete value from following possibilities (ordered from best to worse):
- very high
- high
- middle
- low
- very low
Time is defined in intervals to which person has one of introduced content levels assigned.
Important events in life
The last information is also temporal structure.
In comparison to "content", the "important events in life" is nominal discrete value. Particular values could be "graduation", "Nobel price for peace", "imprisoned", etc. Events are assigned to intervals or instants, i.e. "graduation" can be assigned to instant 20. May 1990, but "imprisoned" will be assigned to interval 20. May 1990 - 20. May 1995.