my nmp project b - iTunes:artistcorner
Well I have finally completed my data visualisation for project B and I must say that it was definitely interesting.
I sought to take in a lot of other works to give me a basis for which to work my project around. Working on the project proved to be a challenging task as to actually determine how I wanted the project to look, what sort of data should be included to make the visualisation and also how the visualisation would be applied in a real life setting.
The basis behind my design was to use data that would come from a personal part of my life, eventually I settled on using the information contained within my iTunes library. The proposition for my data visualisation was to create an extension for iTunes called the iTunes:artistcorner. In a nutshell, what the extension does is, take artists already featured in my library and present them in a web like format. It connects artists who are in a like-wise category and each artist is represented as a node in the web - effectively you would be able to click on the node to view artist information as well as expand the web to feature more like-wise artists.
The grid or web is has three main features - that is: artists in my library are shown with a white node, the visualisation also shows artists that are linked to those in my library but are not within my library and they are shown with green nodes with blue linking lines. Effectively this is based upon the Amazon.com recommendations feature. The last function of the visualisation is the artist film nodes which are shown in magenta with yellow linking lines. The idea behind this is to take advantage of the fact that iTunes gives you the opportunity to purchase movies and some music artists have also featured in films also.
The assignment allowed me to put some ideas behind what I could perceive as being possible for iTunes as well as including my own personal data. The entire imagery was created using Photoshop and drew on the applications of current web trends as well as desktop programs. It takes advantage of the fact that iTunes has become a personal multimedia manager while Amazon has become a personal online store and review critic for content. Both services are so widely used in our modern world and rely on social data for a good deal of what is presented.
Ideally I would of liked to make the project interactive just to give an indication of how it would work in its natural environment, but I beleieve that the concept of my visualisation is a good blend of media outlets to enhance the experience of content management, content representation as well as content availability. I definitely think that the exercise gave me a great insight into the world of data visualisation.
Check It Out - Link: iTunes:artistcorner - Data Visualisation Concept