So it’s that time of year again where the mighty Traxsource creates end of year stats for its Artists and Labels. It’s a fascinating thing to explore visually as we scroll through our socials and there are some huge achievements – congrats to all. Now whilst scrolling my mind was building up a dataset and dashboard and I just had to put something together which is incredibly compelling to explore.
You can find the link here – https://datastudio.google.com/s/sOuE7vbmKh0
Methodology & Build
Considering all of this was publicly available I hand crawled the Garage Top 100 and pulled the stats from each artist using the web app front end. I did make exceptions however, where an artist is predominantly NOT garage I removed them to avoid skewing the figures and if an artist had no stats they were of course not included. The overall ranking was a simple summing of all metrics which felt fair – I saw no point in weighting each as they all contribute to the ‘success’ overall of the artist.
I grabbed the artist URLs and noted some other information – those who did not have bio and artist texts (room for improvement basically). This data was compiled into a spreadsheet and then ingested into a Google Data Studio project where the Dashoard was built.
What has been incredibly interesting here for me is the education of who is doing what. It has introduced me to new names I hadn’t been paying attention to and will do from now on – especially because I’m starting to do live-streaming DJ mixes and need fresh tracks! I imagine this is going to be very thought provoking and discussion will no doubt be interesting over on the Traxsource Garage Group – I’ll answer questions if anyone has them over there 😉
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