Difference between revisions of "Lesson02"
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| + | The Golden Age of Statistical Graphics [http://datavis.ca/papers/golden-STS268.pdf] | ||
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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] | Eight Principles of Data Visualization [http://www.information-management.com/news/Eight-Principles-of-Data-Visualization-10023032-1.html?zkPrintable=1&nopagination=1] | ||
Revision as of 10:39, 21 August 2016
ISSS608 Visual Analytics and Applications
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Show Me the Numbers: Designing Graphs for Data Discovery
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] Self-learning Tableau (30 minutes) |
| Day 2 | 60 mins |
Tapping the Power of Visual Perception [4] Quantitative Literacy Across the Curriculum [5] Self-learning Tableau (30 minutes) |
| Day 3 | 60 mins | Best Practices for Understanding Quantitative Data [6]
Data Visualization: Rules for Encoding Values in Graph [7] Self-learning Tableau (30 minutes) |
| Day 4 | 60 mins |
Choosing Colors for Data Visualization [8] Line Graphs and Irregular Intervals: An Incompatible Partnership [9] Self-learning Tableau (30 minutes) |
| Day 5 | 60 mins | Lesson discussion and hands-on exercise
7 Basic Rules for Making Charts and Graphs [10] Sometimes We Must Raise Our Voices [11] Self-learning Tableau (30 minutes) |
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.
