Difference between revisions of "Lesson01"

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|width="350pt"|Readings
 
|width="350pt"|Readings
 
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|Monday||60 mins||Why Visual Analytics [http://www.youtube.com/watch?v=5uGRGqCFryg]'''Must view!'''
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|Day 1||60 mins||Why Visual Analytics [http://www.youtube.com/watch?v=5uGRGqCFryg]'''Must view!'''
  
 
A Tour through the Visualization Zoo [http://queue.acm.org/detail.cfm?id=1805128]'''Must read!'''
 
A Tour through the Visualization Zoo [http://queue.acm.org/detail.cfm?id=1805128]'''Must read!'''
 
The beauty of data visualization [http://www.ted.com/talks/david_mccandless_the_beauty_of_data_visualization.html]
 
  
 
Self-Learning Tableau (30mins)
 
Self-Learning Tableau (30mins)
 
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|-
  
|Tuesday||60 mins||
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|Day 2||60 mins||
  
 
Visual analysis for everyone [http://www.tableausoftware.com/whitepapers/visual-analysis-everyone]
 
Visual analysis for everyone [http://www.tableausoftware.com/whitepapers/visual-analysis-everyone]
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Self-Learning Tableau (30mins)
 
Self-Learning Tableau (30mins)
 
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|-
|Wednesday||60 mins||Demystifying Visual Analytics, ''IEEE Computer Graphics and Applications, March/April 2009'' e-journal @smu library
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|Day 3||60 mins||Demystifying Visual Analytics, ''IEEE Computer Graphics and Applications, March/April 2009'' e-journal @smu library
  
 
Tools for Visualising [http://www.visualisingdata.com/index.php/resources/]
 
Tools for Visualising [http://www.visualisingdata.com/index.php/resources/]
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Self-Learning Tableau (30mins)
 
Self-Learning Tableau (30mins)
 
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|-
|Thursday||60 mins||
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|Day 4||60 mins||
 
Andrew Gelman and Antony Unwin (2011) Infovis and Statistical Graphics: Different Goals, Different Looks [http://www.stat.columbia.edu/~gelman/research/published/vis14.pdf]
 
Andrew Gelman and Antony Unwin (2011) Infovis and Statistical Graphics: Different Goals, Different Looks [http://www.stat.columbia.edu/~gelman/research/published/vis14.pdf]
  
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Self-Learning Tableau (30mins)
 
Self-Learning Tableau (30mins)
 
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|-
|Friday||3 hours||Lesson discussion and hands-on exercise
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|Day 5||60 mins||
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 +
The beauty of data visualization [http://www.ted.com/talks/david_mccandless_the_beauty_of_data_visualization.html]
 +
 
 +
Self-Learning Tableau (30mins)
 +
 
 
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Revision as of 11:39, 6 August 2016

Va.jpg IS428 Visual Analytics for Business Intelligence

About

Weekly Session

Assignments

Visual Analytics Project

Course Resources

 


Introduction to Visual Analytics

Lesson 1 slides

Content

Introduction to the course

  • Why this course?
  • What does it cover?
  • Who is involved?
  • What assignments?
  • Rules to be followed

Motivations of Visual Analytics

  • Massive data
  • Complex problem
  • Visual Representation
  • New visual paradigm
  • Hidden insight

The Visual Analytics Framework

  • The Science of Analytical Reasoning
  • Sense-Making Methods
  • Components of visual analytics
  • History of visual analytics
  • The visual analytics process
  • Application challenges
  • Technical challenges

A Gallery of Visual Analytics applications


Hands-on Session

Self-learning Tableau

  • Getting Started [1]
  • Tableau Interface [2]
  • Connecting to Data: From Getting Started with Data to Data Blending

My First Date with Tableau


Daily Readings

Day Time required Readings
Day 1 60 mins Why Visual Analytics [3]Must view!

A Tour through the Visualization Zoo [4]Must read!

Self-Learning Tableau (30mins)

Day 2 60 mins

Visual analysis for everyone [5]

Visual Analytics - Mastering the Information Age [6]

Self-Learning Tableau (30mins)

Day 3 60 mins Demystifying Visual Analytics, IEEE Computer Graphics and Applications, March/April 2009 e-journal @smu library

Tools for Visualising [7]

Data Visualisation, Australian Bureau of Statistics Research Paper, July 2007 [8]

Self-Learning Tableau (30mins)

Day 4 60 mins

Andrew Gelman and Antony Unwin (2011) Infovis and Statistical Graphics: Different Goals, Different Looks [9]

Robert Kosara (2012) Visualization: It’s More than Pictures! [10]

Self-Learning Tableau (30mins)

Day 5 60 mins

The beauty of data visualization [11]

Self-Learning Tableau (30mins)


References

James J. Thomas & Kristin A. Cook (ed) (2005) Illuminating the Path: The Research and Development Agenda of Visual Analytics [12]


Discussion

Discussion Lesson 01