Difference between revisions of "Lesson02"

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<font size =5>'''Designing Graphs to Enlighten: Principles, Methods and Best Practices'''</font>
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<font size = 3>[[media:Lesson02.pdf|Lesson 2 Slides]]</font>
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== Content ==
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Data Foundation
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*  Types of data
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*  Structure within and between records
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*  Data preprocessing: ETL (Extract, Transform, and Loading)
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 +
Human Perception and Information Processing
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*  What Is Perception?
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*  Physiology
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*  Perceptual Processing
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*  Perception in Visualization
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*  Metrics
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Perceptual and Design Principles for Effective Visual Analytics
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*  System, Color, Gestalt Laws, Pre-attentive processing
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*  Representation: The encoding of value and relation
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*  Visual Perception and Quantitative Communication
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Designing Charts to Enlighten
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*  What we mean by an enlighten graph
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*  JunkCharts: Understand the limitation of Excel charts
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*  Principles of Graphic Design
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*  Semiology of graphics
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Useful Charts for Data Discovery
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*  Data discovery with bar chart
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*  Data discovery with histogram
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*  Data discovery with boxplot
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*  Data discovery with dotplot
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== Hands-on Session ==
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*  Visualising and analysing bivariate data
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*  Interactive visual analytics with Graph Builder
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== Daily Readings ==
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{| border="1" cellpadding="1"
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|-
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|width="5pt"|Day
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|width="10pt"|Time required
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|width="350pt"|Readings
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|-
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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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The Dataviz Design Process: 7 Steps for Beginners [http://annkemery.com/dataviz-design-process/]
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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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|Tuesday||30 minutes||Tapping the Power of Visual Perception [http://www.perceptualedge.com/articles/ie/visual_perception.pdf]
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Quantitative Literacy Across the Curriculum [http://www.perceptualedge.com/articles/visual_business_intelligence/quantitative_literacy_across_curriculum.pdf]
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Sometimes We Must Raise Our Voices [http://www.perceptualedge.com/articles/visual_business_intelligence/sometimes_we_must_raise_our_voices.pdf]
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|-
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|Wednesday||30 minutes||Best Practices for Understanding Quantitative Data [http://www.perceptualedge.com/articles/b-eye/quantitative_data.pdf]
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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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|Thursday||30 minutes||
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Choosing Colors for Data Visualization [http://www.perceptualedge.com/articles/b-eye/choosing_colors.pdf]
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Line Graphs and Irregular Intervals: An Incompatible Partnership [http://www.perceptualedge.com/articles/visual_business_intelligence/line_graphs_and_irregular_intervals.pdf]
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|-
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|Friday||3 hours||Lesson discussion and hands-on exercise
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|-
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|-
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|}
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== References ==
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Robbins, Naomi B. (2005) Creating More Effective Graphs, John Wiley & Sons, New Jersey, USA.
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Edward R. Tufte (2001) The Visual Display of Quantitative Information (2nd Edition), Graphics press, Connecticut, USA. Chapter 4-9
 +
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Stephen Few (2004) Show Me the Numbers: Designing Tables and Graphs to Englighten, Analytical Press, Oakland, USA.
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Wong, Dona M. (2010) The Wall Street Journal Guide to Information Graphics, W. W. Norton & Company, Inc. New York.
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== Discussion ==
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[[Talk:Lesson02|Discussion Lesson 02]]

Revision as of 22:26, 4 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
Monday 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]

Tuesday 30 minutes Tapping the Power of Visual Perception [4]

Quantitative Literacy Across the Curriculum [5]

Sometimes We Must Raise Our Voices [6]

Wednesday 30 minutes Best Practices for Understanding Quantitative Data [7]

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

Thursday 30 minutes

Choosing Colors for Data Visualization [9]

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

Friday 3 hours 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

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