Data Stories #58: Data Installations w/ Domestic Data Streamers

http://datastori.es/data-stories-58-domestic-data-streamers/%23t%3D00:00

daniel-pearson-domestic-data-streamers

I believe we are bored from being 8 to 10 hours everyday in front of the screen, so when we go out from the screen the real life happens and things get more and more interesting

– Dani Llugany Pearson


Hey everyone, starting from this episode we will add images/photos of projects and ideas discussed on the show so that you no longer have to guess what we are talking about! Try this one below … if you click on it you’ll get high-res pictures. Let us know if you like it!

Live survey on physical parallel coordinates.
Live survey on physical parallel coordinates.
Using balloons to show the age at which one would like to die.
Using balloons to show the age at which one would like to die.
What's the best age in a lifetime?
What's the best age in a lifetime?
How much information is a Yottabyte?
How much information is a Yottabyte?
Each tweet is one drop.
Each tweet is one drop.

Hi folks,

We have Dani Llugany Pearson from Domestic Data Streamers to talk about the studio and their amazing participatory data installations.

You really need to see examples of what they do! Go to http://domesticstreamers.com/ and take a look at their projects.

In Data Strings they ask people to add their own thread to a physical parallel coordinates. In Life Line they use a grid of 800 balloons to show the point between one’s real age and the age at which one would like to die. In Golden Age they use a grid to let people mark with a log what is their age and what they believe is the best age in people’s life.

On the show we talk about how they started and describe the process behind some of the projects.

Enjoy the show!


This episode is sponsored by Qlik who allows you to explore hidden relationships within data that lead to insights. Qlik Sense allows you to create personalized visualizations and dynamic dashboards. You can download it for free at: www.qlik.de/datastories.

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