four pillars of data visualization - ria.ruvid1.rian.ru/ig/fmf/presentations2013/future_media... ·...

Four Pillars of Data Visualization

Noah Iliinsky • @noahi IBM Center for Advanced Visualization

When are visualizations successful?

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What does success look like?

1. Has clear purpose and focus.

2. Contains (only) the right information.

3. Is structured correctly.

4. Has useful formatting.

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What does success look like?

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Formatting

Structure

Content

Purpose

http://commons.wikimedia.org/wiki/File:Pound_layer_cake.jpg

Purpose > Content > Structure > Formatting

For creators, do you know:

• Why am I creating this visualization?

• Who is it for?

• What do they need to understand?

• What actions do you need to enable?

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How will it be consumed?

http://www.apple.com 6


Purpose dictates the deliverable. Different destinations require different maps.

http://maps.google.com 7


http://many-eyes.com/manyeyes/page/Visualization_Options.html 8


• What data matters?

• What relationships matter?

• Informed by purpose!

• What’s excluded is as important as what’s included.

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http://bmander.com/dotmap/index.html#4.00/40.00/-100.00 10


• How do we best reveal the most important data and relationships?

• Choose meaningful layout and axes!

• Use both axes! (Both, not three…)

• Informed by purpose and content!

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http://ilovecharts.tumblr.com/post/33308788744/from-the-boston-metro-oct-10th-hannabeth-well

Structure fail.

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http://ilovecharts.tumblr.com/post/33308788744/from-the-boston-metro-oct-10th-hannabeth-well

Structure fixed. 15

Structure: Position is everything.

http://hipmunk.com 16

Structure: Position is everything.

http://hipmunk.com

•  absolute & relative departure time (continuous) •  absolute & relative arrival time (continuous) •  absolute & relative length of trip (continuous) •  stopovers (binary) •  absolute & relative stopover duration (continuous) •  absolute & relative stopover start & stop time (continuous) •  sort order (ranked)

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http://many-eyes.com/manyeyes/page/Visualization_Options.html 18


• How should it look and feel? • How will it be consumed? • Makes data and relationships accessible.

• Makes importance visible. • Informed by purpose, content, and structure!

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http://www.nytimes.com/interactive/2013/01/02/us/chicago-killings.html 20


•  Structure is geographical map.

•  Colored shading encodes category.

•  Dot size represents quantity.

•  Outlines call attention to interesting areas.


http://complexdiagrams.com/properties 21

Checklist

• Is the purpose well-defined?

• Does the content support the purpose?

• Does the structure reveal the content?

• Does the formatting facilitate consumption?

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Creating effective visualizations Choosing the right visual properties

Learn how to properly choose the visual property (position, shape, size, color and others) to encode the different types of data that will be presented in a visualization.

Download your copy http://bit.ly/successfulvis

Engage IBM Visualization Luminaries

IBM Many Eyes: Learn and Create •  Learn visualization best practices, insights and futures

from IBM visualization luminaries

•  Create a visualization in three steps

•  ibm.com/manyeyes

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Follow IBM visualization luminaries •  @manyeyes

•  @noahi

Watch our luminaries •  youtube.com/IBMVisualAnalytics

four pillars of data visualization - ria.ruvid1.rian.ru/ig/fmf/presentations2013/future_media... ·...

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