Lesson02

ISSS608 Visual Analytics and Applications

About

Weekly Session

Assignments

Visual Analytics Project

Course Resources

Show Me the Numbers: Designing Graphs for Data Discovery

Lesson 2 slides

Content

Data Foundation

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

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

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

Visualising and Analysing Univariate Data

• Data discovery with histogram
• Data discovery with boxplot

Visualising and Analysing Bivariate Continuous Data

• Exploring two continuous variables (i.e. scatter plot)
• Correlation analysis
• Bivariate data analysis best practices

Visualising and Analysing One Categorical and One Continuous Data

• Exploring relationship between one category variable and one continuous variable
• Performing simple logistic regression
• Bivariate data visualisation best practices

Hands-on Session

• Visualising and analysing bivariate continuous data using scateerplot
• Visualising and analysing bivariate continuous data using mosaic plot
• Visualising and analysing one continuous and one continuous variables trellis

Daily Readings

Day	Time required	Readings
Monday	60 minutes	Tapping the Power of Visual Perception [1]Must read! Visualising Statistics: The importance of seeing not just describing data [2]Must read! Graphical Journalists Should, First and Foremost, Be Journalists [3] Must read!
Tuesday	60 minutes	The Dataviz Design Process: 7 Steps for Beginners [4] Sometimes We Must Raise Our Voices [5]Must read! DSC Webinar Series The Beautiful Science of Data Visualization [6] Must View!
Wednesday	60 minutes	Quantitative Literacy Across the Curriculum [7] Data Visualization: Rules for Encoding Values in Graph [8]Must read! Best Practices for Understanding Quantitative Data [9]
Thursday	60 minutes	Choosing Colors for Data Visualization [10]Must read! 7 Basic Rules for Making Charts and Graphs [11] Learning to See Data [12]

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