Data Wrangling: Getting Started Working with Data for Visualizations
*Excerpt
Good data visualization allows us to leverage the incredible pattern-recognition abilities of the human brain to answer questions we care about. But how do you make a good visualization? Here's a crash course.
Description
Data visualizations can be a powerful tool for analysis and presentation, but what do you need to make one? Data is the obvious answer, but is that enough?
In this talk, we’ll walk through the building blocks of a good visualization. I’ll discuss the difference between structured and unstructured data, how to transform one into the other, and why good questions are especially important for crafting visualizations. We’ll see the kinds of views that are appropriate for different kinds of data, encounter some fundamental interaction techniques, and send you off better prepared to incorporate data visualization into your work and play!
Tags
data, visualization, multi-dimensional data analysis, interaction design
Speaking experience
I have presented this talk twice previously, at the Intel Labs in October 2012 and at the Pacific Northwest College of Art in February 2014.
Other speaking experience (talk title followed by instances I have given it):
Talk: Visual Analysis of Higher-Order Conjunctive Relationships in Multi-Dimensional Data Using a Hypergraph Query System
-Little Bird. Portland, OR. February 2014
-IEEE Vis. Atlanta, GA. October 2013
-University of Oklahoma. Norman, OK. May 2012
Talk: Dressing Quantitative Data for the Qualitative Ball: A Cinderella Story
-Intel Labs. Hillsboro, OR. May 2013
Speaker
-
Rachel Shadoan
Akashic Labs- Website: http://www.akashiclabs.com/
- Blog: http://www.rachelshadoan.com/
- Twitter: rachelshadoan
- Favorites: View Rachel's favorites
Biography
Data scientist. Data visualizer. Ethnographer. Iconoclast. Pragmatist. Champion for reasonableness. Lover of science and kale.
Sessions
-
- Title: Data Wrangling: Getting Started Working with Data for Visualizations
- Track: Cooking
- Room: B202/203
- Time: 1:30 – 2:15pm
-
Excerpt:
Good data visualization allows us to leverage the incredible pattern-recognition abilities of the human brain to answer questions we care about. But how do you make a good visualization? Here’s a crash course.
- Speakers: Rachel Shadoan
-
- Title: Open Source is Not Enough: The Importance of Algorithm Transparency
- Track: Culture
- Room: B201
- Time: 3:45 – 4:30pm
-
Excerpt:
Opaque algorithms increasingly control our access to information, on the web and beyond. Why is that a problem, and what can we do about it?
- Speakers: Rachel Shadoan