Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe 09 - Design: Difference between revisions

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=== Dataset Analysis ===
=== Dataset Analysis ===
{|
|- style="background:#e0e0e0"
!Attribute
!Data type
!Description
|- style="background:#eeeeee"
|Name
|Discreet
|Song title
|-
|Artist
|Discreet
|Artist name
|- style="background:#eeeeee"
|Album
|Discreet
|Album name
|-
|Genre
|Nominal
|Genre the song belongs to
|- style="background:#eeeeee"
|Composer
|Discreet
|The composer of the song
|-
|Size
|Ordinal
|The file size
|- style="background:#eeeeee"
|Total time
|Ordinal
|The total time of the song
|-
|Disc number
|Ordinal
|Number of the disc
|- style="background:#eeeeee"
|Disc count
|Ordinal
|Total number of discs
|-
|Track number
|Ordinal
|Track number of this song on the disc
|- style="background:#eeeeee"
|Track count
|Ordinal
|Total number of tracks on the disc
|-
|Year
|Ordinal
|Year of origin
|- style="background:#eeeeee"
|Date Modified
|Ordinal
|Date of modification
|-
|Date added
|Ordinal
|Date when song was added to archive
|- style="background:#eeeeee"
|Bit rate
|Ordinal
|Bit rate of song (e.g. 128kbit/s)
|-
|Sample rate
|Ordinal
|Sample rate of song (e.g. 44100Hz)
|- style="background:#eeeeee"
|Play count
|Ordinal
|Number of time the song was played
|-
|Play date
|Ordinal
|Date of last play
|- style="background:#eeeeee"
|Play date UTC
|Ordinal
|Date of last play in [http://en.wikipedia.org/wiki/UTC UTC]
|-
|Location
|Discreet
|File location
|- style="background:#eeeeee"
|Kind
|Nominal
|Kind of file (e.g. MPEG audio file)
|-
|Rating
|Ordinal
|Personal rating (1-5 stars)
|}


== Target Group Analysis ==
== Target Group Analysis ==

Revision as of 13:38, 22 November 2005

Description of the Application Area and given Dataset

Application Area Analysis

Das Anwendungsgebiet befasst sich mit der Visualisierung eines MP3 Archivs und dessen ID3 Tags, wie zB Artistname, Year, Album etc.
ID3 tags are a way to store information about an MP3 file within the file itself. Originally ID3 tags held just this basic text-only information about a music file. They were a standard size and held standardized information.
Die Besonderheit besteht darin, eine gute Umsetzung der Visualisierung zu schaffen, damit große Mengen an Informationen übersichtlicher und benutzerfreundlicher werden.

Dataset Analysis

Attribute Data type Description
Name Discreet Song title
Artist Discreet Artist name
Album Discreet Album name
Genre Nominal Genre the song belongs to
Composer Discreet The composer of the song
Size Ordinal The file size
Total time Ordinal The total time of the song
Disc number Ordinal Number of the disc
Disc count Ordinal Total number of discs
Track number Ordinal Track number of this song on the disc
Track count Ordinal Total number of tracks on the disc
Year Ordinal Year of origin
Date Modified Ordinal Date of modification
Date added Ordinal Date when song was added to archive
Bit rate Ordinal Bit rate of song (e.g. 128kbit/s)
Sample rate Ordinal Sample rate of song (e.g. 44100Hz)
Play count Ordinal Number of time the song was played
Play date Ordinal Date of last play
Play date UTC Ordinal Date of last play in UTC
Location Discreet File location
Kind Nominal Kind of file (e.g. MPEG audio file)
Rating Ordinal Personal rating (1-5 stars)

Target Group Analysis

Who should use this visualation technique?

What are the characteristics of the target group?

Are there any known / often used Methods / Visualisation Techniques?

Purpose of the Visualisation

What should be achieved with the Visualisation?

Which tasks should be solved?

Questions that can be solved using this Visualisation

Designproposal

Which kinds of Visualisation should be used?

Visual Mapping

Description of Used Techniques / Applied Principles

Possibilities of the Interaction

Mockup(s) / Fake Screenshot(s)

References

http://www.dougscripts.com/itunes/itinfo/id3tags00.php