At the start of the year I attended Monkigras which increased my fascination with data sets and relationships between them. Over the course of the year I have been looking at different data sets, how to measure and quantify things as well as how to related different data streams to find correlations or draw conclusions. Part of this journey has led me to #DevOps and the pursuit of improving the project delivery, the other part of this has led me to discover what data can I measure about myself and what correlations and conclusions can I draw about my body's performance versus what I consciously decide to put it through (A whole other blog post in itself and perhaps not for SCN)
So sitting here listening to some of my favourite music, I decided to run a small experiment based on this presentation from Matt Biddulph's Monkigras' presentation- I think for now it would be interesting to see what music people listen to and see if we can find any relationships against job functions and age. If we get lots of entries, then it would be possible to generate a LastFM playlist by SAP area or just a general SAP playlist ๐
In order to take part, I would like people to comment and enter their top 5 songs they love to work to (not their favourite songs) their job function and whether they are fall into the following age ranges - 20-29, 30-39, 40-49, 50-59, >60
As you all know, hopefully, I am a NetWeaver Technical consultant (Basis) and I am 30-39,
my 5 songs are
Linkin Park - Crawling
U2 - Beautiful Day
Florence and the Machine - No light, no light
Ellie Goulding - Lights (Bassnectar remix)
Foo Fighters - Best of You
Looking forward to seeing some great data
Chris
