Open Data Set for Music

A few of the data sets I could locate, mostly related to music:

Advertisements
Link

2015 December – Dear Data Challenge

ANALYSIS

December’s challenge was “Christmas Music” for Dear Data / Chain Data.

I confused the instructions of “dear data” where it mentions “one week”. I understood, that it has to be my personal data collected over a period of one week. Thanks to Bridget (@windscogley) for clarifying it and throwing in some ideas to get me started …

Here is a run down of my journey during the month:

https://music-api.musikki.com/
http://www.last.fm/api

Spotify Web API

https://developer.musicgraph.com/
https://developer.musicgraph.com/api-docs/v2/playlists

https://imvdb.com/developers/sandbox

Music APIs

http://www.cs.umd.edu/projects/MusicDigger/

https://www.discogs.com/developers/
https://musicbrainz.org/doc/MusicBrainz_Database

WORKING

  • I settled for plotting 2014 stats of music consumption across the various genres. Here it goes.
  • The data set from Neilsen’s 2014 Music Report for US:

Nielson 2014 Music Report

I calculated the index using min max difference, as follows:

Index Data

And then created a “Parallel Coordinate Plot

Parallel Coordinate Plot

Followed by “hand drawing” it, I only drew the points, excluding the lines for clutter:

Dear Data Dec - Front

2015 November – Dear Data Challenge

On the lines of dear data (http://www.dear-data.com/)  where two courageous women

switched continents get to know each other through the data they draw and send across the pond

Brittany Fong (@BFongData) took the initiative to take it wide and far. In her words:

Contrary to how we normally think about data, dear data isn’t about the numbers being visualized as accurately as possible.  I mean obviously we don’t want you to just make stuff up but the expectations for dear data are about stepping out of the box, doing something you’re not used to, and being creative

I have joined the bandwagon, and this is what I could muster to draw by hand … yeah it takes a lot of courage to ditch your favorite visualization tool

Dear Data

Here is the same thing, done by the machine

2015 Nov – Food – Ul Haq

(I was only able to recreate the third chart by hand, using slightly different color scheme)

In summary, we collected food related data for a week, and then analyzed it. I used the Australian Survey Classification System to classify all food items and then presented it in a stacked bar chart

Here is the summary stats for the chart:

Summary Data

and the same summary stats, on the back of the chart

2015 Nov - Food