Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe 10 - Aufgabe 3 - Design

Application Area and given Dataset

Application Area Analysis

The application area for this task is to visualize a music archive with the data provided by ID3/iTunes tags. These tags include information about songname, artist, year, album,... The challenge in visualizing this information is to select "good" attributes that can be brought into relation, because of the high number of discreet attributes.

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	...
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
File Folder Count	Ordinal	Number of file in the same folder as the current song
Library folder count	Ordinal	Number of files in library folder
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?

The visualisation is mainly meant for people collecting mp3s or for musicians who like to see some nice information they won't find in the usual representations. Moreover it's for people who like to explore their music collection under different standpoints. This will fit the exploring character of information visualisation.

Our visualisation tool will make it possible to browse through the music collection in different ways than what iTunes offers. It's meant for people who want to find some music, they for example didn't listen to for a long time. They will see from wich period the songs are, which genre they fall into and how they have been rated. This is a different starting point than usual and will allow the user to probably find other music, than without the tool.

What are the special interests of our target group?

I think our target group is quite young, probably creative and I suppose they have some sort of interest in playing around with things a bit. As we are analysing iTunes the target group likes nice and neat design, cool tools, cool features and gimmicks. They should use the visualisation mainly for playing around with their music collection.

Purpose of the Visualisation

Which tasks should be solved?

Warum haben wir nur wenige Datensätze heraus genommen?

Designproposal

Mockup(s) / Fake Screenshot(s)

Entwurf 1