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Launching Hello World

For our first project back we were asked to imagine ourselves as data. I am to create a still image that visualises some personal data. What could my data reveal about me, my habits and hobbies? 
We were allowed to use  pre-existing data (such as my email archive, fitness tracker data, etc.) or create a new system specifically for collecting data. The data could be anything of my choosing and did not need to be numerical. 

Research

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TROY BROWNE

Troy Browne is a freelance artist and animator who takes a focus on Afro-American pop culture to create wild portraiture collage. I like the misshapen and blown up features especially his focus on teeth. I like this way of collage because it's only taking original parts of the image instead of bringing different source images in. 

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KEVIN BERQUIST

Artist Kevin Berquist from Minnesota who specialises in spraypaint, traditional oil painting and collage was my second reference. The points I took from his work was to experiment with texture and layering. He uses a lot of ripped paper and grit textures to create depth in his work. In combination with digital enhancements and colouring it makes some really eye catching collages.  

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I started watching episode 3 of the John Berger series on portraiture. I liked his points on art reproduction and how original artwork cannot really be replicated. I was already thinking along the lines of portraiture collage after looking at my artist inspo, particularly Troy Browne, because of this a lot of the points he was making about reproduction I was mentally connecting to collage. 

To me, collage art takes sections of originals to create a new reproduction. It was an interesting connection to make between the two.  

Process

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Spotify gives you data of your most played music and how many plays a day each song has. It breaks it down into a daily breakdown list of songs so I thought I could visualise a weekly set from Monday to Friday. 

By using my most played artists per day I took parts of them like legs, arms and eyes etc to create a figure showing my most played songs for a single day. I did 5 of these to represent Monday through to Friday.  

Finals

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