Difference between revisions of "Lesson02"

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{| border="1" cellpadding="1"  
 
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|width="5pt"|Day
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|width="40pt"|Day
|width="10pt"|Time required  
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|width="30pt"|Time required  
|width="350pt"|Readings
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|width="400pt"|Readings
 
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|Monday||30 minutes||Eight Principles of Data Visualization [http://www.information-management.com/news/Eight-Principles-of-Data-Visualization-10023032-1.html?zkPrintable=1&nopagination=1]
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|Day 1||30 minutes||
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Eight Principles of Data Visualization [http://www.information-management.com/news/Eight-Principles-of-Data-Visualization-10023032-1.html?zkPrintable=1&nopagination=1]
  
 
The Dataviz Design Process: 7 Steps for Beginners [http://annkemery.com/dataviz-design-process/]
 
The Dataviz Design Process: 7 Steps for Beginners [http://annkemery.com/dataviz-design-process/]
  
 
7 Basic Rules for Making Charts and Graphs [http://flowingdata.com/2010/07/22/7-basic-rules-for-making-charts-and-graphs/]
 
7 Basic Rules for Making Charts and Graphs [http://flowingdata.com/2010/07/22/7-basic-rules-for-making-charts-and-graphs/]
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|-
  
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|Day 2||30 minutes||Tapping the Power of Visual Perception [http://www.perceptualedge.com/articles/ie/visual_perception.pdf]
|Tuesday||30 minutes||Tapping the Power of Visual Perception [http://www.perceptualedge.com/articles/ie/visual_perception.pdf]
 
 
Quantitative Literacy Across the Curriculum [http://www.perceptualedge.com/articles/visual_business_intelligence/quantitative_literacy_across_curriculum.pdf]
 
Quantitative Literacy Across the Curriculum [http://www.perceptualedge.com/articles/visual_business_intelligence/quantitative_literacy_across_curriculum.pdf]
  
 
Sometimes We Must Raise Our Voices [http://www.perceptualedge.com/articles/visual_business_intelligence/sometimes_we_must_raise_our_voices.pdf]
 
Sometimes We Must Raise Our Voices [http://www.perceptualedge.com/articles/visual_business_intelligence/sometimes_we_must_raise_our_voices.pdf]
 
|-
 
|-
|Wednesday||30 minutes||Best Practices for Understanding Quantitative Data [http://www.perceptualedge.com/articles/b-eye/quantitative_data.pdf]
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|Day 3||30 minutes||Best Practices for Understanding Quantitative Data [http://www.perceptualedge.com/articles/b-eye/quantitative_data.pdf]
  
 
Data Visualization: Rules for Encoding Values in Graph [http://www.perceptualedge.com/articles/b-eye/encoding_values_in_graph.pdf]
 
Data Visualization: Rules for Encoding Values in Graph [http://www.perceptualedge.com/articles/b-eye/encoding_values_in_graph.pdf]
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|-
  
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|Day 4||30 minutes||
|Thursday||30 minutes||
 
 
Choosing Colors for Data Visualization [http://www.perceptualedge.com/articles/b-eye/choosing_colors.pdf]
 
Choosing Colors for Data Visualization [http://www.perceptualedge.com/articles/b-eye/choosing_colors.pdf]
  
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|Friday||3 hours||Lesson discussion and hands-on exercise  
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|Day 5||30 minutes||Lesson discussion and hands-on exercise  
 
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Revision as of 14:05, 6 August 2016

Va.jpg IS428 Visual Analytics for Business Intelligence

About

Weekly Session

Assignments

Visual Analytics Project

Course Resources

 


Designing Graphs to Enlighten: Principles, Methods and Best Practices

Lesson 2 Slides

Content

Data Foundation

  • Types of data
  • Structure within and between records
  • Data preprocessing: ETL (Extract, Transform, and Loading)

Human Perception and Information Processing

  • What Is Perception?
  • Physiology
  • Perceptual Processing
  • Perception in Visualization
  • Metrics

Perceptual and Design Principles for Effective Visual Analytics

  • System, Color, Gestalt Laws, Pre-attentive processing
  • Representation: The encoding of value and relation
  • Visual Perception and Quantitative Communication

Designing Charts to Enlighten

  • What we mean by an enlighten graph
  • JunkCharts: Understand the limitation of Excel charts
  • Principles of Graphic Design
  • Semiology of graphics

Useful Charts for Data Discovery

  • Data discovery with bar chart
  • Data discovery with histogram
  • Data discovery with boxplot
  • Data discovery with dotplot

Hands-on Session

  • Visualising and analysing bivariate data
  • Interactive visual analytics with Graph Builder


Daily Readings

Day Time required Readings
Day 1 30 minutes

Eight Principles of Data Visualization [1]

The Dataviz Design Process: 7 Steps for Beginners [2]

7 Basic Rules for Making Charts and Graphs [3]

Day 2 30 minutes Tapping the Power of Visual Perception [4]

Quantitative Literacy Across the Curriculum [5]

Sometimes We Must Raise Our Voices [6]

Day 3 30 minutes Best Practices for Understanding Quantitative Data [7]

Data Visualization: Rules for Encoding Values in Graph [8]

Day 4 30 minutes

Choosing Colors for Data Visualization [9]

Line Graphs and Irregular Intervals: An Incompatible Partnership [10]

Day 5 30 minutes Lesson discussion and hands-on exercise

References

Robbins, Naomi B. (2005) Creating More Effective Graphs, John Wiley & Sons, New Jersey, USA.

Edward R. Tufte (2001) The Visual Display of Quantitative Information (2nd Edition), Graphics press, Connecticut, USA. Chapter 4-9

Stephen Few (2004) Show Me the Numbers: Designing Tables and Graphs to Englighten, Analytical Press, Oakland, USA.

Wong, Dona M. (2010) The Wall Street Journal Guide to Information Graphics, W. W. Norton & Company, Inc. New York.


Discussion

Discussion Lesson 02