Announcing the #DataPlusMusic Project

What started with a viz...

6 years ago, this week, back in 2015, I embarked on a journey that I had no idea at the time where it would take me. That’s right, six (6) years ago, I published my first dashboard to Tableau Public – The topic was a list I found published by The Guardian entitled, “1000 songs to listen to before you die” and I made this dashboard:

Since then I’ve made several more music-related vizzes including

And it’s not just me, the community ALWAYS rises to the occasion whenever there’s a music themed dataset or #IronViz topic. So with #MakeoverMonday on hiatus and me not wanting to wait until this topic comes back around in #IronViz or #IronQuest, I want to have provide this community with a platform where they can viz about music whenever they want with other music fans.
 
I’m so excited to announce that in January 2022 we’re plugging in the data, tuning the dashboards and sound-checking the design for the newest dataviz initiative; #DataPlusMusic
#DataPlusMusic

Something familiar & something new

Here’s how it’s gonna go down – each month there will be a different challenge, topic, and/or dataset to explore. I may or may not already have 2 years worth of topics lined up! And because music is weaved through several areas and aspects of our lives – we’ll be collaborating with many of the existing dataviz projects out there

And in true creative fashion, I do not want to stifle any idea you might have.

If you have an idea for a music-related viz, then viz it! Whatever you viz, whenever you viz, if it’s music-related – add that hashtag!

At the beginning of each month, the next topic will be announced and you’ll have the next amount of time that works best for you to make a viz. There’s no set timetable, do what works for you! If you do happen to make something, be sure to tag me and use the hashtag #DataPlusMusic.

So what's new about this?

This is where things are going to get interesting. Over the course of the project, you will have the ability to learn and work with a few different music based APIs & Python libraries such as:

  • Spotify
  • Last.fm
  • Genius Lyrics
  • …maybe more

Now, please don’t let this deter you from joining in the fun. APIs and basic programming are growing skills for BI analysts. Don’t just take my word for it

So I, along with other members of the community, will be there to help you along the way, sharing some code and walking through the basics. I’ve been working on the basics for a little while now and I can tell you that its not as bad as you may think. I’ll make your introduction simple and easy to understand. Plus, we’ll be dealing with music data so it’ll be fun. And when you learn while having fun, the bumps in the road won’t be as noticeable. And if your learning experience is anything like mine, you’ll likely end up with a new learning obsession!

But the fun won’t stop there! I’ve have several new and exciting ideas that I’m not quite ready to share but I assure you – when it’s ready you’ll be the first to know

Want to get started?

If you’re itching to get started, let’s take the rest of this month, and makeover my first viz from 6 years ago! You can get the data from my Github. Don’t forget to tag me and add the hashtag #DataPlusMusic

Some additional homework

Later on this year, we’re going to doing a listening habits topic and now is a great time to get set up so that you can log your listening habits. There are a few ways to go about it – The easiest and most popular way to do is to set an account with last.fm and “scrobble” your listening habits. There multiple ways to scrobble your listening habits. You can check them all out here

a list of music apps connected to last.fm

The Mission Statement

We all know how amazing and diverse this community is, I want #DataPlusMusic to be this community’s local record shop – join us to discover the new, reminisce the classics, debate the best & the worst. And learn a few things along the way!

because this…is #DataFam Vinyl

GO FORTH AND VIZ

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