Tune


Data Visualisation
2019

Tune is a project that attempts to plot the dynamic between music and its listeners. The National Institute of Design (NID) brings students from diverse cultural backgrounds together which results in a variety of music preferences under one roof. This gives rise to a complex and rich dataset.

Done over a week, this group project involved collecting data, exploring suitable visual representations and finally creating a mapping that best represents the correlation within the data.






Behind the scenes

The 4-Axis Graph

This representation addresses the first inquiry. To make connections within the different parameters, we created a four-point plot graph with parameters on each side and colours to match genres. Each quadrilateral represents a single respondent and their data. 



In the visualisation below, the genres are interactive. Click on the genres to view the trends and correlations. 'How to Read' or the '?' in the view menu provides a quick guide to understanding the graph. 






Close up shots of the graph highlighting the details within the lines



The Accordion Graph

The second graph was an attempt at simplifying the representation by reducing the number of parameters. Moods were marked on one side while spaces were marked on the other. Colour denoted the genres of the songs.

Time was divided into two—morning (6am—6pm) and evening (6pm—6am). By creating an accordion fold, one can see all the morning songs from one angle and the evening songs from the other.



In the representation below, click on the icons in the view menu to toggle between different views. Since the visualisation was intended for print, the sizes have been scaled down for digital viewing.







A visualisation of the graph installed in a space viewed from the left, and a test print viewed from the right



Close up shots of the graph highlighting the details within the lines