I've been diving into the vibrant world of data for a solid two years, and guess what? I'm finally cracking the code on what it takes to soar in this industry! Early in my data adventures, I was like a kid on Limewire when I found Kaggle, downloading everything that caught my eye. But then, I stumbled upon Spotify's data and... let's just say, it was a bit of a reality check.

I found myself wrestling with duplicate records, scratching my head over inconsistent schemas, and feeling lost in the sauce without any guides. That experience was a game-changer for me. I made a promise to my future self: “When you've got the skills, create a dataset that's not just good, but legendary.” That time has come!

Introducing my unique Spotify dataset – a crystal clear reflection of dedication and clarity. What makes this set stand out? You're not just getting data; you're getting a story. You can literally trace my steps, unraveling the magic behind each table through my script on Github. It's like having a backstage pass to a data concert! (Yes, Swifties will love this dataset too 😉)

I'm all about transparency, and I believe it's the key to trust. With this dataset, I'm laying it all out there – no smoke and mirrors, just pure, unadulterated, CLEAN data. I want you to feel the same excitement I do when data just clicks into place. I encourage you all to checkout the Github repo I linked above to see how this dataset came to life!

If you have any questions, suggestions or simply want to network, reach out to me on LinkedIn

This dataset is created using data sourced from Spotify and adheres to their Terms of Use. The dataset is intended for non-commercial, academic purposes and does not infringe upon Spotify's intellectual property rights. For full details on Spotify's terms, please visit Spotify's Terms and Conditions of Use.

You can find documentation for Spotifys Web APIs here

As of 12/20/2023, this is V1 of my data and I'll most likely release a few more versions after working through kinks from former releases.