CPSC 547: Information Visualization, Sep 2017

Remember to reload the page, changes are frequent

Instructor: Tamara Munzner
First Class: Tue Sep 12 2017
Last Class: Tue Dec 5 2017
Time/Location: Tue 2-5, FSC 2330A
Office Hours: Tue 5-6 in classroom or by appointment in X661 ICICS/CS Bldg (X Wing).
UBC Cal Page: CPSC 547
Canvas Page: 547 Canvas Page

Short Weekly Syllabus

  Week

  Date

  Class

1 Sep 12 Intro; Ex: Time Series

2 Sep 19 WhyVis, Data, Tasks, DSM; Ex: Abstractions

3 Sep 26 Validation, Marks & Channels, Rules of Thumb. Ex: Decoding

4 Oct 3 No Class

5 Oct 10 Tables, Color, D3

6 Oct 17 Spatial, Networks, Abyss-Explorer, Geneaology. Pitches

7 Oct 24 Manipulate, Facet, Paramorama. Guest: Brehmer. Fri Oct 27: Proposal Topics & Groups Finalized

8 Oct 31 Reduce, Embed, Case Studies Thu Nov 2 5pm: Meetings Cutoff

9 Nov 7 Present 1, Guest: Franconeri Mon Nov 5: Proposals Due

10 Nov 14 13 Present 2, Ex: Ballotmaps

11 Nov 21 Present 3, Peer Project Reviews 1

12 Nov 28 Present 4, Paper Writing and Research Process

13 Dec 6 Present 5, Peer Project Reviews 2

14 Dec 12 Final Presentations; Dec 15 Final Papers due

Detailed Syllabus

Syllabus tentative, final changes will be made by previous class (for readings). Readings should be done before the lecture.

Required Reading:

Visualization Analysis and Design, Tamara Munzner (A K Peters Visualization Series, CRC Press, 2014) is the course textbook.

The UBC library has multiple ebook licenses so you can read it for free: library catalog page, EZProxy direct link.

To buy your own copy online, it's currently US$75 new from amazon.com and US$80 from CRC (I'll give out promo code for 20% off in lecture, so it's $64); CD$107 from amazon.ca and CD$112 from chapters.ca. When you buy the hardcover book, you'll get the ebook version for free; you can also buy an ebook-only for less.

All additional readings are research papers available online for free, links posted below.

For digital library access from off-campus, use EZproxy with your CWL login through the UBC library.
EZproxy direct links: IEEE DL, Springer DL, ACM DL, JSTOR

Introduction Tue Sep 12

Required Reading

none

Slides: pdf, pdf 16up, keynote

Further Reading

In-Class Exercise: Time Series
- Cluster-Calendar paper
- Stack Zooming video, paper
- ChronoLenses video, paper
- RankExplorer video, paper
- LiveRAC video, paper

Data, Tasks, DSM Tue Sep 19

Required Reading

VAD Chapter 1. What's Vis, and Why Do It?

VAD Chapter 2. What: Data Abstraction

VAD Chapter 3. Why: Task Abstraction

paper Design Study Methodology: Reflections from the Trenches and the Stacks. Michael Sedlmair, Miriah Meyer, and Tamara Munzner. IEEE Trans. Visualization and Computer Graphics (Proc. InfoVis 2012), 18(12):2431-2440, 2012. [type: theory/model]

Slides: pdf, pdf 16up, keynote

In-Class Exercise: Abstraction (source: Bertini)

Further Reading

Validation, Marks & Channels, Rules of Thumb, Artery Viz Tue Sep 26

Required Reading

VAD Chapter 4. Validation

VAD Chapter 5. Marks and Channels

VAD Chapter 6. Rules of Thumb

paper Evaluation of Artery Visualizations for Heart Disease Diagnosis. Borkin et al, IEEE Trans. Visualization and Computer Graphics (Proc. InfoVis 2011), 17(12):2479-2488, 2011. [type: evaluation / design study]

Slides: Backup for Ch 4/5/6/Artery pdf, pdf 16up, keynote
Slides: Paper types pdf, pdf 16up, keynote

In-Class Exercise: Decoding (source: Bertini)

Further Reading

Tables, Color, D3 Tue Oct 10

Required Reading

VAD Chapter 7. Arrange Tables

VAD Chapter 10. Map Color and Other Channels

paper D3: Data-Driven Documents. Michael Bostock, Vadim Ogievetsky, Jeffrey Heer. IEEE Trans. Visualization & Comp. Graphics (Proc. InfoVis), 2011. [type: system]

Slides: pdf, pdf 16up, keynote

In-Class Exercise: 2Nums, Bars/Radar, Color (source: Pfister/ Lex/ Ortiz; Hearst; Rheingans)

Further Reading

D3
- D3.js A powerful JavaScript library for manipulating documents based on data
- Interactive Data Visualization for the Web - An Introduction to Designing with D3 by Scott Murray (2nd edition, D3 v4)
- Technology fundamentals for D3.js (Slides by K. Wongsuphasawat, J. Hoffswell, D. Moritz)
- Intro to D3
- See the newly updated resource page for a longer discussion of readings for D3 (and a few other tools as well). You should use this week-long pause without classes to put some time into exploring options for what coding infrastructure to use.
Ch 7 (Table Data) Further Reading
Ch 10 (Color) Further Reading

Pointers from Discussion

spacefilling displays: Interactive Information Visualization of a Million Items, Fekete and Plaisant

Spatial Data, Networks, Abyss-Explorer, Geneaology Tue Oct 17

Required Reading

VAD Chapter 8. Arrange Spatial Data

VAD Chapter 9. Arrange Networks

paper ABySS-Explorer: visualizing genome sequence assemblies.. Cydney B. Nielsen, Shaun D. Jackman, Inanc Birol, Steven J.M. Jones. TVCG 15(6):881-8, 2009 (Proc. InfoVis 2009). [type: design study]
paper Interactive Visualization of Genealogical Graphs. Michael J. McGuffin, Ravin Balakrishnan. Proc. InfoVis 2005, pp 17-24. [type: technique]
- video

Slides: pdf, pdf 16up, keynote

In-Class: Project Pitches pdf, Pitches pdf 16up

Further Reading

Manipulate, Facet, Paramorama Tue Oct 24

Required Reading

VAD Chapter 11. Manipulate View

VAD Chapter 12. Facet into Multiple Views

paper Visualization of Parameter Space for Image Analysis. A. Johannes Pretorius, Roy A. Ruddle, Mark-Anthony Bray, Anne E. Carpenter. TVCG 12(17):2402-2411 2011 (Proc. InfoVis 2011). [type: design study]

Slides: pdf, pdf 16up, keynote

Guest Lecture: Matt Brehmer on Timelines Revisited, ChartAccent, PacificVis Storytelling Contest, and Tools:

Further Readings

Reduce, Embed, Case Studies, TopoFisheye Views Tue Oct 31

Required Reading

VAD Chapter 13. Reduce Items and Attributes

VAD Chapter 14. Embed: Focus+Context

VAD Chapter 15. Analysis Case Studies

Paper: Topological Fisheye Views for Visualizing Large Graphs, Emden Gansner, Yehuda Koren and Stephen North. IEEE TVCG 11(4):457-468, 2005. [type: algorithm]

Slides: pdf, pdf 16up, keynote

Example Presentation: Interactive Coordinated Multiple-View Visualization of Biomechanical Motion Data. Daniel F. Keefe, Marcus Ewert, William Ribarsky, Remco Chang. IEEE Trans. Visualization and Computer Graphics (Proc. Vis 2009), 15(6):1383-1390, 2009.

Further Readings

Presentations 1 Tue Nov 7

Michael, spatiotemporal, Revealing Patterns and Trends of Mass Mobility through Spatial and Temporal Abstraction of Origin-Destination Movement Data. Gennady Andrienko, Natalia Andrienko, Georg Fuchs, Jo Wood. Proc VAST 2017, TVCG to appear.
- Slides: pdf, pdf 16up
Alex, multiple views, MyBrush: Brushing and Linking with Personal Agency. Philipp Koytek, Charles Perin, Jo Vermeulen, Elisabeth Andre, Sheelagh Carpendale. Proc InfoVis 2017, TVCG to appear.
- Slides: pdf, pdf 16up
Theodore, Visualizing Big Data Outliers through Distributed Aggregation. Leland Wilkinson. Proc VAST 2017, TVCG to appear.
- Slides: pdf, pdf 16up

Guest Lecture: Steve Franconeri on Visualizations Are Ambiguous Figures (3:30-4:50) Slides: pdf, pdf 16up

Presentations 2 Tue Nov 14

Halldor, ML, Visualizing Dataflow Graphs of Deep Learning Models in TensorFlow, Kanit Wongsuphasawat, Daniel Smilkov, James Wexler, Jimbo Wilson, Dandelion Mane, Doug Fritz, Dilip Krishnan, Fernanda B. Viegas, Martin Wattenberg. Proc VAST 2017, TVCG to appear, Best Paper Award.
- Slides: pdf, pdf 16up
Simar, ML, Analyzing the Training Processes of Deep Generative Models. Mengchen Liu, Jiaxin Shi, Kelei Cao, Jun Zhu, Shixia Liu. Proc VAST 2017, IEEE TVCG to appear.
- Slides: pdf, pdf 16up
Jan, cluster, Clustervision: Visual Supervision of Unsupervised Clustering. Bum Chul Kwon, Ben Eysenbach, Janu Verma, Kenney Ng, Christopher deFilippi, Walter F. Stewart, Adam Perer. Proc VAST 2017, IEEE TVCG to appear.
- Slides: pdf, pdf 16up
Kaiyuan, DR, Towards a Systematic Combination of Dimension Reduction and Clustering in Visual Analytics. John Wenskovitch, Ian Crandell, Naren Ramakrishnan, Leanna House, Scotland Leman, Chris North. Proc. VAST 2017, IEEE TVCG to appear.
- Slides: pdf, pdf 16up

Exercise: Vis Design / Ballotmaps
Followup reading: BallotMaps: Detecting name bias in alphabetically ordered ballot papers. Wood, J., Badawood, D., Dykes, J. & Slingsby, A. (2011). IEEE Transactions on Visualization and Computer Graphics, 17(12), pp. 2384-2391.

Presentations 3 Tue Nov 21

Siyuan, networks, BiDots: Visual Exploration of Weighted Biclusters. Jian Zhao, Maoyuan Sun, Francine Chen, Patrick Chiu. Proc. InfoVis 2017, IEEE TVCG to appear.
- Slides: pdf, pdf 16up
Jiahong, networks, VIGOR: Interactive Visual Exploration of Graph Query Results. Robert Pienta, Fred Hohman, Alex Endert, Acar Tamersoy, Kevin Roundy, Chris Gates, Shamkant Navathe, Duen Horng Chau. Proc. InfoVis 2017, IEEE TVCG to appear.
- Slides: pdf, pdf 16up
Peyvand, networks, Orko: Facilitating Multimodal Interaction for Visual Exploration and Analysis of Networks. Arjun Srinivasan, John Stasko. Proc. InfoVis 2017, IEEE TVCG to appear.
- Slides: pdf, pdf 16up
Haoran, trees, Bubble Treemaps for Uncertainty Visualization. Jochen Görtler, Christoph Schulz, Daniel Weiskopf, Oliver Deussen. Proc. InfoVis 2017, IEEE TVCG to appear.
- Slides: pdf, pdf 16up

Peer Project Reviews 1

Presentations 4 Tue Nov 28

Zixiao, sports, Bring it to the Pitch: Combining Video and Movement Data to Enhance Team Sport Analysis. Manuel Stein, Halldor Janetzko, Andreas Lamprecht, Thorsten Breitkreutz, Philipp Zimmermann, Bastian Goldlucke, Tobias Schreck, Gennady Andrienko, Michael Grossniklaus, Daniel A. Keim. Proc VAST 2017, TVCG to appear.
- Slides: pdf, pdf 16up
Shirlett, geographic, Voila: Visual Anomaly Detection and Monitoring with Streaming Spatiotemporal Data. Nan Cao, Chaoguang Lin, Qiuhan Zhu, Yu-Ru Lin, Xian Teng, Xidao Wen. Proc. InfoVis 2017, IEEE TVCG to appear.
- Slides: pdf, pdf 16up
Vanessa, sensemaking, Supporting Handoff in Asynchronous Collaborative Sensemaking Using Knowledge-Transfer Graphs. Jian Zhao, Michael Glueck, Petra Isenberg, Fanny Chevalier, Azam Khan. Proc. InfoVis 2017, IEEE TVCG to appear. (Best Paper Honorable Mention)
- Slides: pdf, pdf 16up

Paper Writing and Research Process

Slides: pdf, pdf 16up, keynote

Presentations 5 Tue Dec 6

Shareen, design, Scatterplots: Tasks, Data, and Designs. Alper Sarikaya and Michael Gleicher. Scatterplots: Tasks, Data, and Designs. (Proc. InfoVis 2017), IEEE Transactions on Visualization and Computer Graphics to appear.
- Slides: pdf, pdf 16up
Hayley, design, Structuring Visualization Mock-ups at a Graphical Level by Dividing the Display Space.. Romain Vuillemot and Jeremy Boy. (Proc. InfoVis 2017) IEEE TVCG to appear.
- Slides: pdf, pdf 16up
Amon, perception, Modeling Color Difference for Visualization Design.. Danielle Albers Szafir. (Proc. InfoVis 2017), IEEE TVCG to appear. (Best Paper Award)
- Slides: pdf, pdf 16up

Peer Project Reviews 2

Final Project Presentations Tue Dec 12, 1-5pm

Final Papers Due Fri Dec 15 11:59pm

Previous Versions

Permanent URL of this page is http://www.cs.ubc.ca/~tmm/courses/547-17F

Tamara Munzner

Last modified: Sat Dec 9 13:39:06 PST 2017

Week	Date	Class
1	Sep 12	Intro; Ex: Time Series
2	Sep 19	WhyVis, Data, Tasks, DSM; Ex: Abstractions
3	Sep 26	Validation, Marks & Channels, Rules of Thumb. Ex: Decoding
4	Oct 3	No Class
5	Oct 10	Tables, Color, D3
6	Oct 17	Spatial, Networks, Abyss-Explorer, Geneaology. Pitches
7	Oct 24	Manipulate, Facet, Paramorama. Guest: Brehmer. Fri Oct 27: Proposal Topics & Groups Finalized
8	Oct 31	Reduce, Embed, Case Studies Thu Nov 2 5pm: Meetings Cutoff
9	Nov 7	Present 1, Guest: Franconeri Mon Nov 5: Proposals Due
10	Nov 14 13	Present 2, Ex: Ballotmaps
11	Nov 21	Present 3, Peer Project Reviews 1
12	Nov 28	Present 4, Paper Writing and Research Process
13	Dec 6	Present 5, Peer Project Reviews 2
14	Dec 12	Final Presentations; Dec 15 Final Papers due