Lesson02

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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