Difference between revisions of "Lesson02"
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| − | 7 | + | The Dataviz Design Process: 7 Steps for Beginners [http://annkemery.com/dataviz-design-process/] |
Sometimes We Must Raise Our Voices [http://www.perceptualedge.com/articles/visual_business_intelligence/sometimes_we_must_raise_our_voices.pdf]'''Must read!''' | Sometimes We Must Raise Our Voices [http://www.perceptualedge.com/articles/visual_business_intelligence/sometimes_we_must_raise_our_voices.pdf]'''Must read!''' | ||
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Choosing Colors for Data Visualization [http://www.perceptualedge.com/articles/b-eye/choosing_colors.pdf]'''Must read!''' | Choosing Colors for Data Visualization [http://www.perceptualedge.com/articles/b-eye/choosing_colors.pdf]'''Must read!''' | ||
| − | + | 7 Basic Rules for Making Charts and Graphs [http://flowingdata.com/2010/07/22/7-basic-rules-for-making-charts-and-graphs/] | |
Learning to See Data [http://www.nytimes.com/2015/03/29/sunday-review/learning-to-see-data.html?_r=0] | Learning to See Data [http://www.nytimes.com/2015/03/29/sunday-review/learning-to-see-data.html?_r=0] | ||
Revision as of 15:14, 18 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 |
| 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.
