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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> or [http://slides.com/tskam/is428-lesson02 web version]
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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)
 +
 +
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
 +
*  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="40pt"|Day
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|width="40pt"|Time required
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|width="400pt"|Readings
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|-
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|Day 1||60 mins||
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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]
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The Dataviz Design Process: 7 Steps for Beginners [http://annkemery.com/dataviz-design-process/]
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|-
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|Day 2||60 mins||
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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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|-
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|Day 3||60 mins||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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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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|Day 4||60 mins||
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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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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 5||3 hours||Hands-on exercise: Exploring Tableau
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Getting Started with Visual Analytics [http://www.tableau.com/learn/tutorials/on-demand/getting-started-visual-analytics]
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Pareto Chart [http://www.tableau.com/learn/tutorials/on-demand/pareto-charts]
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Do More with Bar Charts in Tableau 10 [http://www.tableau.com/about/blog/2016/6/mark-sizing-tableau-10-56014]
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Boxplot [http://www.tableau.com/learn/tutorials/on-demand/box-plots]
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Histogram [http://www.tableau.com/learn/tutorials/on-demand/histograms]
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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]]

Latest revision as of 11:58, 22 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 or web version

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 60 mins

Eight Principles of Data Visualization [1]

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

Day 2 60 mins

Tapping the Power of Visual Perception [3]

Quantitative Literacy Across the Curriculum [4]

Day 3 60 mins Best Practices for Understanding Quantitative Data [5]

Data Visualization: Rules for Encoding Values in Graph [6]

Sometimes We Must Raise Our Voices [7]

Day 4 60 mins

Choosing Colors for Data Visualization [8]

Line Graphs and Irregular Intervals: An Incompatible Partnership [9]

7 Basic Rules for Making Charts and Graphs [10]

Day 5 3 hours Hands-on exercise: Exploring Tableau

Getting Started with Visual Analytics [11]

Pareto Chart [12]

Do More with Bar Charts in Tableau 10 [13]

Boxplot [14]

Histogram [15]

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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