The Art of information

We are at the onset of a new movement in art that is built around data - Kenneth Cukier

Here is an image of the active users on Facebook, notice they use lighting to represent the activity of user in each country, the brighter the more people there are using Facebook, This was created by an intern at Facebook.

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Airlines also share a similar diagrammatic, using lines and points to represent different journeys taken by plans in a day.

The Johnny Cash Project - RadicalMedia®

Here is the Johnny Cash project, which was a project of people drawing 11,000 frames for a music video of his, it’s very impressive, if you go onto the site you can go and see each individual frame.

Big Data

Data taken by AAA companies will have a lot of data, and they need a simplistic way to cover that, A lot of companies take data for different means whether that is for good or bad, as they use the data to predict, cut and understand the users.

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Netflix uses data to understand what the users want to see, so for example if they notice that this dating show from 2009 is garnering more and more viewers they will try and get more of them or even make there own, that’s an example of how a major company would use their data

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We looked at this one website that is called Information is beautiful and this interactive dataset is called Who Old are you? it starts by asking your age

It talks about what people did your age, to make you feel bad, It’s interesting and I’m raging that sly got his first non porn role at my age. and Mark Zuckerberg started facebook at my age or whatever

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Data = Human - Aaron Koblin

We watched a video talking about how data is human based. Aaron Koblin talked about his projects and how he represented data, he started by showing us peoples travel routes, and used colouring to key it to specific data ranges as well as linking to google maps to give a layout of the map of America through lines of people’s journeys

He then showed a project he did where he got people to draw a sheep and he paid them 2p for each sheep, he then used the drawings and compared the juxtaposition of people when given a text, Below is some interesting data about it

11 sheep drawn per hour

.69p an hour

662 rejected sheep

Longest 42 minutes

Shortest Sheep 4 seconds

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He showed another project similar to 10,000 sheep where he got 10,000 to draw a small frame of a 100 dollar note, and this is what it looked like.

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He then goes to talk about how he recreated the daisy bell song which was the first singing computer song, he used 2000 peoples voices to recreate it, and it sounds awful!

Thoughts and Summary

This lecture was an interesting one, using information and data to portray art was interesting as it was something I hadn’t thought of, My favourite one was probably the money note project where Aaron Koblin got 10,000 users to paint a small frame of the dollar frame, I would’ve loved to do something similar for my dashboard, if the brief was different I definitely would’ve done something similar to the note, as it would’ve been fun to do as well as interesting.