{{{credits}}}
| L | T | P | C |
| 3 | 0 | 0 | 3 |
- To develop skills to both design and critique visualizations.
- To introduce visual perception and core skills for visual analysis.
- To understand visualization for time-series, ranking analysis and deviation analysis.
- To understand visualization for distribution analysis, correlation analysis and multivariate analysis.
- To understand issues and best practices in information dashboard design.
{{{unit}}}
| Unit I | Core Skills for Visual Analysis | 9 |
Information Visualization – Effective Data Analysis – Traits of Meaningful Data – Visual Perception – Making Abstract Data Visible – Building Blocks of Information Visualization – Analytical Interaction – Analytical Navigation – Optimal Quantitative Scales – Reference Lines and Regions – Trellises and Crosstabs – Multiple Concurrent Views – Focus and Context – Details on Demand – Over-plotting reduction – Analytical Patterns: Pattern examples
{{{unit}}}
| Unit II | Time-Series, Ranking, and Deviation Analysis | 9 |
Time-series Analysis: Time-series patterns – Time-series displays – Time-series analysis techniques and best practices; Part-to-whole and Ranking Analysis: Part-to-whole and ranking patterns – Part-to-whole and ranking displays – Part-to-whole and ranking techniques and best practices; Deviation Analysis: Deviation analysis displays – Deviation analysis techniques and best practices
{{{unit}}}
| Unit III | Distribution, Correlation, and Multivariate Analysis | 9 |
Distribution Analysis: Describing distributions – Distribution patterns – Distribution displays – Distribution analysis techniques and best practices; Correlation Analysis: Describing correlations – Correlation patterns – Correlation displays – Correlation analysis techniques and best practices; Multivariate Analysis: Multivariate patterns – Multivariate displays – Multivariate analysis techniques and best practices
{{{unit}}}
| Unit IV | Information Dashboard Design | 9 |
Information Dashboard: Clarifying the vision – Thirteen common mistakes in dashboard design – Tapping into the power of visual perception – Eloquence through simplicity – Effective dashboard display media – Putting it all together; Dashboard design using Shiny
{{{unit}}}
| Unit V | Data Visualization Tools | 9 |
Tableau: Introducing the tableau desktop workspace – Connecting to your data – Building your first visualization – Creating a standard map view – Ploting your own locations on a map – Building your first advanced dashboard
\hfill Total: 45
After the completion of this course, students will be able to:
- Recognize core skills for visual analysis (K2)
- Apply visualization techniques for various data analysis tasks (K3)
- Employ information dashboard design techniques (K3)
- Use different tools to better visualize data (K3)
- Stephen Few, “Now you see it: Simple Visualization techniques for quantitative analysis”, Analytics Press, 2009. (units I, II, III)
- Stephen Few, “Information dashboard design: Displaying data for at-a-glance monitoring”, second edition, Analytics Press, 2013. (unit IV)
- Daniel G Murray, “Tableau your data!: Fast and easy visula analysis with Tableau software”, second edition, Wiley, 2016. (unit V)
- Ben Fry, “Visualizing data: Exploring and explaining data with the processing environment”, O’Reilly, 2008.
- Edward R. Tufte, “The visual display of quantitative information”, Second Edition, Graphics Press, 2001.
- Nathan Yau, “Data Points: Visualization that means something”, Wiley, 2013.
- Tamara Munzner, “Visualization Analysis and Design”, AK Peters Visualization Series, CRC Press, Nov. 2014