Data Visualization/Processing (Room/Table G 2-3pm)
Saturday Session 4G
Convener: Stacia & Lesley
Summarizer: Lesley
There was a short discussion of what Data Visualization is and how we want to display the data.
Lot of discussions on tools, websites, resources for Data Visualization
- Open Exhibit – interaction display, multitouch multiuser software, for education and non profits
- d3.js (Data Driven Document)
- Processing – group member used tool in college to visualize sound in a room
- Non profit using social data (google group)
- Google Refine – website to clean data
- Argus Insights – look at consumer data, analyze it and make decisions based on it
- Golan Levin – Prof at Carnegie Mellon with tutorials on Processing
- There are children’s programs that teaches how to use Processing
- Rock Health – Health data tool
- Google Prediction API – pull out insights from data
- PK – question asking tool
- Data Wrangler – Stanford web tool to clean/analyze data
- Graffta – art based teaching for computer/hardware programming and technologies
- Digital art galleries SF (google it) – other Processing classes/tutorials
Demo
- energy efficiency for a building
- demo of visualizing energy use of a building based on lung
- choropleth map of U.S. Electricity prices
- IBM many eyes – word cloud based data
One interest is how to display data so that someone will be able to take action on it
Question: How to get into Data Analysis? Answer – join meet ups, meet other people working on projects
Where to get data? EPA is a good place to start
Conversation than moved to being mindful of all this data and our relationship with our data/tools/devices that we use
- Difficult because so much time is spent on collecting and cleaning data and small portion of understanding the data
- Need to mediate relationship with our products – can be overwhelming , intrusive – how do we create visual representation of our consciousness and our devices?
- Resources for this:
- Calming Tech Lab at Stanford
- Breathing Project – breathing pattern through iPhone
- Stacia has started Project Stay Awake (projectstayawake.com) – challenge to examine relationship with products – pay attention to habits, how often using device, survey daily, what you are aware of (potentially visualize data)
- Lev Manovitch – CUNY Professor that looks at big data and deeper exploration of what it means
- What becomes our reality if we’re not cognizant of it?
- Charles Stross – Rule 34 – AI fiction book where society may end up one day (dark side of nerd culture)
- In the end: how do we understand data, how do we make of it. Extremes – adopt or luddite – be more mindful of technology.
- One way is the anthromorphication our products – turn objects into something we can name to develop compassion towards non living produce






