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
Day 1	60 mins	The Golden Age of Statistical Graphics [1] Eight Principles of Data Visualization [2] The Dataviz Design Process: 7 Steps for Beginners [3]
Day 2	60 mins	Tapping the Power of Visual Perception [4] Quantitative Literacy Across the Curriculum [5] Sometimes We Must Raise Our Voices [6]
Day 3	60 mins	Best Practices for Understanding Quantitative Data [7] Data Visualization: Rules for Encoding Values in Graph [8] 7 Basic Rules for Making Charts and Graphs [9]
Day 4	60 mins	Choosing Colors for Data Visualization [10] Line Graphs and Irregular Intervals: An Incompatible Partnership [11] Self-learning Tableau (30 minutes)
Day 5	60 mins	Working with Tableau Getting Started with Visual Analytics [12] Pareto Chart [13] Do More with Bar Charts in Tableau 10 [14] Boxplot [15] Histogram [16]

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