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TV Finals that surprise/disappoint

August 20, 2015

IMBD ratings of television series finales relative to their average episode rating. Sorted in various ways, demonstrates how the same data can look different/communicate a different story depending on how it’s sorted and presented.

Visual Intro to Machine Learning

July 28, 2015

A site that explains the basics of machine learning with cool visualizations that change as you scroll:

Screen Shot 2015-07-28 at 9.44.18 AM

Info / Image Hyperbole

July 26, 2015

And more in the same vein,

Selected Student Projects, 2009–2015

July 7, 2015

Info Vis Intro 2015

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Victoria’s Patterns of a Penn Undergrad and Synchro East
Liliana’s Hamburgefons

Dan’s T-shirts

Dan’s NCAA Basketball Tracer

Bianca’s Cheese Map

Lauren’s Etsy Sellers Map

Chloe’s Alternative To Corn-Derived Ethanol Diagram

Jessica’s Keyboard Frequency Map

Jessica’s Stroke Length Comparison
Anam’s 321
Anastaysia’s Noise of Time
Justin’s What Would They Say?

Lauren’s Power Outages Map

Jessie’s States of Sexual Education

Dave’s Texting Habits

Dave’s Girl Talk

Brynn’s Sunday Night, Monday Morning

Mapping US Trees

May 22, 2015

Nikhil Srivastava’s map of tree distribution.

Hexagonal Tile Grid Maps

May 15, 2015

Experimentation with different forms of mapping


Deadliest Animals

May 11, 2015

This visualization is one I came across when working on Project 3. My piece was on intimate partner violence and I was looking for ways to map or visualize 1) how frequently women are killed by men they know, especially intimate partners and 2) how proportionally that makes intimate partners so much more dangerous to women than any other person they encounter.

This visualization works with that proportional aspect with deadliest animals. I can’t decide if seeing human or mosquito was more off-putting, but either way the visualization has a striking effect.



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