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January 7, 2016

Dear Data Two | Week 39: Beauty

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Last week I tracked the rather depressing topic of negative thoughts, so it was great to turn the page this week and begin taking in the things around me that I find beautiful. I started the week tracking every little thing I found beautiful, which made the data collection overwhelming. So I stepped back and decided to only track those things where in my head I said "Wow! That's stunning!"

This week really helped me appreciate the exceptional beauty that is around me every day, whether it be our wonderful parks, the people I see, or the amazing architecture London offers. I had this week off from work, so I was able to spend a lot of time with my family going on walks, visiting museums, playing games, etc. So the topic, combined with the time I spent with my family, really made for a wonderfully positive week after a rather crappy Christmas week.

My analysis of the data started much like every other week: exploring what each dimension I tracked offered, looking for stories, trying to find patterns. I didn't learn a whole lot about myself, but trying to emulate what Giorgia did in her postcard for this week helped me continue to learn about using Tableau as a drawing canvas.

The trouble I run into time and time again is that I have so many dimensions that I want to put in a single view, but if I add them all in Tableau, the view quickly becomes impossible to comprehend. However, I'm really beginning to appreciate the freedom that drawing on a postcard gives me. I can incorporate as many dimensions as I'd like through the use of symbols and marks in a way that doesn't clutter the visualisation and aids in understanding.

I'm not sure why, but I feel like I'm starting to grow as a data artist, particularly when it comes to pen and paper. My ideas are flowing at the moment. Let's hope I can continue the momentum for the remaining 13 weeks.

Explore my week below by click through the story points. Enjoy!

2 comments :

  1. Hi Andy,

    This one is inspiring to me. I'm embarking on my first month of the Data Chain, and my first time ever doing any kind of quantified self data collection/analysis, and I really like how you've visualized the data this week given the number of variables you had to work with. This has definitely given me some ideas for how I might want to visualize the data I'm collecting. I won't know for sure until this week's data collection is complete and I go about exploring it in Tableau, but what you've done here really resonates with me.

    -Mike

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    Replies
    1. Thanks Michael! I'm glad you like it. I get so much inspiration from Giorgia and Stefanie so happy to hear I'm passing that along.

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