Difference between revisions of "Lesson02"
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The Dataviz Design Process: 7 Steps for Beginners [http://annkemery.com/dataviz-design-process/] | The Dataviz Design Process: 7 Steps for Beginners [http://annkemery.com/dataviz-design-process/] | ||
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Quantitative Literacy Across the Curriculum [http://www.perceptualedge.com/articles/visual_business_intelligence/quantitative_literacy_across_curriculum.pdf] | Quantitative Literacy Across the Curriculum [http://www.perceptualedge.com/articles/visual_business_intelligence/quantitative_literacy_across_curriculum.pdf] | ||
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Data Visualization: Rules for Encoding Values in Graph [http://www.perceptualedge.com/articles/b-eye/encoding_values_in_graph.pdf] | Data Visualization: Rules for Encoding Values in Graph [http://www.perceptualedge.com/articles/b-eye/encoding_values_in_graph.pdf] | ||
| − | + | Sometimes We Must Raise Our Voices [http://www.perceptualedge.com/articles/visual_business_intelligence/sometimes_we_must_raise_our_voices.pdf] | |
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Line Graphs and Irregular Intervals: An Incompatible Partnership [http://www.perceptualedge.com/articles/visual_business_intelligence/line_graphs_and_irregular_intervals.pdf] | Line Graphs and Irregular Intervals: An Incompatible Partnership [http://www.perceptualedge.com/articles/visual_business_intelligence/line_graphs_and_irregular_intervals.pdf] | ||
| − | + | 7 Basic Rules for Making Charts and Graphs [http://flowingdata.com/2010/07/22/7-basic-rules-for-making-charts-and-graphs/] | |
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Revision as of 10:45, 21 August 2016
IS428 Visual Analytics for Business Intelligence
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Designing Graphs to Enlighten: Principles, Methods and Best Practices
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 |
| Day 1 | 60 mins |
Eight Principles of Data Visualization [1] The Dataviz Design Process: 7 Steps for Beginners [2] |
| Day 2 | 60 mins |
Tapping the Power of Visual Perception [3] Quantitative Literacy Across the Curriculum [4] |
| Day 3 | 60 mins | Best Practices for Understanding Quantitative Data [5]
Data Visualization: Rules for Encoding Values in Graph [6] Sometimes We Must Raise Our Voices [7] |
| Day 4 | 60 mins |
Choosing Colors for Data Visualization [8] Line Graphs and Irregular Intervals: An Incompatible Partnership [9] 7 Basic Rules for Making Charts and Graphs [10] |
| Day 5 | 3 hours | Hands-on exercise: Exploring Tableau
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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.
