Data visualization
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March 12, 2014. Data Visualization. John Stasko School of Interactive Computing Georgia Institute of Technology [email protected] Data. Visualization “The use of computer-supported, interactive visual representations of data to amplify cognition” . Visuals help us think

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Data Visualization

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Data visualization

March 12, 2014

Data Visualization

John Stasko

School of Interactive ComputingGeorgia Institute of Technology

[email protected]


Data visualization

Data


Data visualization

Visualization“The use of computer-supported, interactive visual representations of data to amplify cognition”


Data visualization

Visuals help us think

Provides a frame of reference, temporary storage area

Cognition  Perception

Pattern matching


Data visualization

1. Presentation

Communicate data and ideas

Explain and inform

Influence and persuade

Provide evidence and support


Data visualization

AJC, Jan. 3, 2014


Data visualization

http://infographicsnews.blogspot.com/2009/04/mantras-joe-lertolas-maps.html


Data visualization

www.cdc.gov/mmwr/preview/mmwrhtml/mm5212a1.htm


Data visualization

2. Analysis

understand, compare, decide, judge, evaluate,assess, determine, …


Data visualization

Many Data Analysis Approaches

Statistics

Database & information retrieval

Data mining

Machine learning


Data visualization

  • Visualization most useful in exploratory data analysis

    • Don’t know what you’re looking for

    • Don’t have a priori questions

    • Want to know what questions to ask


Data visualization

SellTrend

Web-based airlinebooking requests

Help recognizeirregularities and analyze what the problem is

http://www.cc.gatech.edu/gvu/ii/selltrend/

Liu, Sullivan, Stasko

TVCG (InfoVis) ‘09


Data visualization

SnapShot

Present an entire year ofNHL shot data

For ice hockey analyticsand strategists

http://www.cc.gatech.edu/gvu/ii/sportvis/

Pileggi, Stolper, Boyle, Stasko

TVCG (InfoVis) ‘12


Data visualization

http://www.cc.gatech.edu/gvu/ii/jigsaw

Jigsaw

Visual analytics of large text document collections

Görg, Liu, Kihm, Choo, Park, & StaskoTVCG ‘13


Data visualization

Project Process Model

Design visualizationtechniques and systems

Understand usersand their problem

Demonstrate to usersfor feedback, reactions

Iteraterepeatedly

Draw upon knowledgeof existing techniques andexperience applying them

Revisit as needed


Data visualization

Upcoming Talk

Quarterly Analytics Collaborative

Auditorium at Emory HospitalThursday May 8, 1-3 pm

Dr. Sheri ChernetskyTejedorChief Research Information Officer, Emory University School of Medicine


Data visualization

My Research

http://www.cc.gatech.edu/gvu/ii


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