Lesson02

From Visual Analytics for Business Intelligence
Revision as of 22:26, 4 August 2016 by Tskam (talk | contribs)
Jump to navigation Jump to search

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