(Readings and assignments due at midnight before the date of indicated class. Schedule subject to change.)

Week 1 - Wed Sep 30: Introduction

Readings

• Introduction, Chapters 1-2, Now You See It: Simple Visualization Techniques for Quantitative Analysis, by Stephen Few, Analytics Press, 2009 (required textbook).

Assignments (due by 11:59pm Thurs Oct 1)

• Download and install Tableau before class on Friday.
• Post an introduction to the class discussion board following the instructions there.
• Turn in 411 Group Info Form.

Week 2 - Mon Oct 5:Data Types and Visual Mapping

Readings

• Chapter 2, Show Me the Numbers: Designing Tables and Graphs to Enlighten, 2nd ed., by Stephen Few, Analytics Press, 2012 (chapter available on Canvas).
• Designing Great Visualizations by Jock Mackinlay at Tableau Software (see Canvas site for PDF)

Links

• Cars dataset used in class exercise.

Assignments (due at 11:59pm Sun Oct 4)

• Assignment 1, Good and Bad Visualizations

Week 2 - Wed Oct 7: Data Encoding / How to Critique a Visualization

Readings

• Visual Analysis for Everyone by Pat Hanrahan, Chris Stolte, and Jock Mackinlay at Tableau Software (see Canvas site for PDF)

Week 3 - Mon Oct 12: Graphical Excellence and Integrity

Readings

• Chapters 1-2 from Visual Display of Quantitative Information, Tufte. (see Canvas for PDF)

Week 3 - Wed Oct 14: Tableau Tutorial / Guest Lecture by Amanda Pype

Readings

• Optional: Tableau Online Tutorials

Assignments (due at 11:59pm Tue Oct 13)

• Assignment 2, Static Visualization Critique.

Week 4 - Mon Oct 19: Exploratory Data Analysis

Readings

• Chapter 6 from Show Me the Numbers. Few. (see Canvas site for PDF)
• The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations (pdf), Shneiderman, Proc. IEEE Conference on Visual Languages, Boulder 1996.

Assignments (due at 11:59pm Sun Oct 18)

• Project Proposal

Week 4 - Wed Oct 21: Interaction

Readings

• Chapter 4, Now You See It by Stephen Few
• Interactive Dynamics for Visual Analysis, Heer and Shneiderman, 2012. (see Canvas for PDF)
• A Tour Through the Visualization Zoo. Jeff Heer, Michael Bostock, & Vadim Ogrievetsky, CACM June 2010.

Week 5 - Mon Oct 26: D3 Workshop / Guest Lecture by John Robinson and Nan-Chen Chen

Readings

• Optional: Protovis: A Graphical Toolkit for Visualization, Michael Bostock, Jeff Heer, IEEE Trans. Visualization & Comp. Graphics (Proc. InfoVis), 2009.
• Optional: D3: Data-Driven Documents, Michael Bostock, Vadim Ogievetsky, Jeff Heer, IEEE Trans. Visualization & Comp. Graphics (Proc. InfoVis), 2011.

Assignments (due at 11:59pm Sun Oct 25)

• Revised Project Proposal

Week 5 - Wed Oct 28: Visual Perception

Readings

• Perception in Visualization (html), C. Healey, 2011.

Assignments (due at 11:59pm Tue Oct 27)

• Assignment 3, Exploratory Visual Analysis.

Week 6 - Mon Nov 2: Color / Guest Lecture by Maureen Stone

Readings

• Expert Color Choices for Presenting Data, Maureen Stone, 2006 (See Canvas site for PDF)
• The first 4 pages of http://poynton.com/PDFs/ColorFAQ.pdf
• Whisper, Don't Scream: Characterizing Subtle Grids, Bartram & Stone, InfoVis 2007 (See Canvas site for PDF)

Please install the following 2 apps before class (one has alternate versions for PC/Mac)

• All: http://www.paciellogroup.com/resources/contrastAnalyser
• PC or Linux: http://code.google.com/p/gpick/
• pre-installed for Mac: DigitalColor Meter, in /Applications/Utilities/DigitalColorMeter

Links (for use with in-class exercises)

• http://vis.stanford.edu/color-names/
• http://www.hpl.hp.com/personal/Nathan_Moroney/color-name-hpl.html color name experiment
• http://www.hpl.hp.com/personal/Nathan_Moroney/ some related tools
• http://www.color-blindness.com/coblis-color-blindness-simulator/
• http://www.color-blindness.com/color-blindness-tests/

Week 6 - Wed Nov 4: Mid-term Presentations

Readings

• A conversation with Jeff Heer, Martin Wattenberg, & Fernanda Viegas, ACM Queue 2010.
• Optional: Wrangler: Interactive Visual Specification of Data Transformation Scripts. Sean Kandel, Andreas Paepcke, Joseph Hellerstein, Jeffrey Heer, CHI 2011.
• Optional: Magic Ink (html), Bret Victor, 2006, pages 1-47 (stop at the section entitled "Designing a design tool")

Assignments (due at 11:59pm Tue Nov 3)

• Mid-term presentations due today (should be uploaded by midnight before class)

Week 7 - Mon Nov 9: Visual Perception 2

Readings

• Chapter 3, Now You See It, by Stephen Few

Week 7 - Wed Nov 11: NO CLASS - Veteran's Day

Week 8 - Mon Nov 16: Multivariate Analysis

Readings

• Chapters 6 & 12, Now You See It, by Stephen Few

Week 8 - Wed Nov 18: Animation / Distortion

Readings

• Chapter 5, Now You See It, by Stephen Few.
• Hans Rosling, Debunking myths about the 'third world.' (Gapminder video), TED conference talk 2006.
• Robertson, Fernandez, Fisher, Lee, and Stasko, Effectiveness of Animation in Trend Visualization (pdf), Proc. IEEE InfoVis 2008.

Optional Readings

• Optional: Jeff Heer and George Robertson, Animated Transitions in Statistical Data Graphics (pdf), Proc. IEEE InfoVis 2007.
• Optional: Bay-Wei Chang, David Ungar (ACM, 1995), Animation: From Cartoons to the User Interface
• Optional: Andy Cockburn et al. (Computing Surveys, 2009), A Review of Overview+Detail, Zooming, and Focus+Context Interfaces

Links

• Gapminder World interactive vis: http://www.gapminder.org/world/

Week 9 - Mon Nov 23: 3D in Visualization / Text Visualization

Readings

• Search User Interfaces, Chapter 11: Information Visualization for Text Analysis, Marti A. Hearst, Cambridge University Press, 2009.
• Optional: Evaluating the effectiveness of spatial memory in 2D and 3D physical and virtual environments, Cockburn and McKenzie, CHI 2002.

Week 9 - Wed Nov 25: Storytelling / Collaborative Visualization

Readings

• Robert Kosara and Jock Mackinlay, Storytelling: The Next Step for Visualization (pdf), IEEE Computer, vol. 46, no. 5, pp. 44-50, May 2013.
• Optional: Jeffrey Heer, Fernanda Viegas and Martin Wattenberg, Voyagers and Voyeurs: Supporting Asynchronous Collaborative Visualization, CACM January 2009.
• Optional: Edward Segel and Jeffrey Heer, Narrative Visualization: Telling Stories with Data, Proc. InfoVis 2010.

Week 10 - Mon Nov 30: Trees and Networks / Visual Analytics

Readings

• Jeff Heer and danah boyd, Vizster: Visualizing Online Social Networks (pdf). Proc. IEEE Infovis 2005.

Links

• treevis.net

Week 10 - Wed Dec 2: Uncertainty Visualization / Guest Lecture by Jessica Hullman

Readings

• No readings; work on projects.

Week 11 - Mon Dec 7: Final Project Presentations

Presentations

Week 11 - Wed Dec 9: Final Project Presentations

Presentations