Data Visualization Reading List

class 2: (Aug. 24) Data Visualization History (slides)

• Key Figures in the History of Data Visualization, Medium.
• "Data Visualization: History and origins", Think Insights.

class 3: (Aug. 29) The What: Data, Data Types, and Metadata (slides) and Data Visualization Issues (slides)

• In class presentation

• Bad Data Visualization: 5 Examples of Misleading Data, T. Stobierski, Harvard Business School Online, 2021.
• Numbers Shouldn't Lie: An Overview of Common Data Visualization Mistakes, M. Bowers, Designers.
• The 7 Biggest Issues Data Visualization Faces Today, A. Torban, Nightingale, 2019.

class 4: (Aug. 31) The Why: Who is Doing What (slides) and Project Discussion Day (slides)

• In class presentation

• Explanation and discussion of class projects.

class 5: (Sept. 5) Taxonomy (slides)

• The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations, B. Schneiderman, Proceedings of IEEE Symposium on Visual Languages, 1996, pp. 336-343.

class 6: (Sept. 7) Project Formation Day (slides)

Students come with project ideas and form teams if they have not already.

class 7: (Sept. 12) Information Visualization (slides)

• Information Visualization, S. Card, 2008, pp. 510-531.
• Information Visualization, S. Card, 2008, pp. 531-542.

class 8: (Sept. 14) Project Reports (slides)

Phase I (Topic, Data Source, Task, Cognitive Issues, Approach)

Template for written report
Template for in-class presentation

Do not change the background, fonts or default colors in the slides -- they will be merged for the presentations.

class 9: (Sept. 19) Interacting with Visualizations (slides)

• An Operator Interaction Framework for Visualization Systems, E. Chi and J. Riedl, Proceedings IEEE Symposium on Information Visualization, 1998, pp. 63-70.

class 10: (Sept. 21) Visualization as Distortion and In-Class Project Day (Related Systems and Studies) (slides)

• Beyond location: hypertext workspaces and non-linear views, F. Shipman, C. Marshall, and M. LeMere, Proceedings of ACM Hypertext Conference, 1999, pp. 121-130.

class 11: (Sept. 26) Bidirectional Visualization: Editing Data through Visualizations (slides)

• Manipulating structured information in a visual workspace, H. Hsieh and F. Shipman, Proceedings of ACM Symposium on User Interface Software and Technology, 2002, pp. 217-226.

class 12: (Sept. 28) Project Reports (slides)

Phase II (Design and Rationale)

Extend your written report by adding two new sections:

• A Related Work section identifying related visualizations and data analysis activities
  
• A Design and Rationale section showing sketches or mock-ups of your design and explaining why you chose the visualization(s) and other features as well as identifying trade-offs you made in your design

Template for in-class presentation

Do not change the background, fonts or default colors in the slides -- they will be merged for the presentations.

class 13: (Oct. 3) Visualizing Textual Content (slides) and Visualizing Software (slides)

• WordBridge: Using Composite Tag Clouds in Node-Link Diagrams for Visualizing Content and Relations in Text Corpora, K. Kim, S. Ko, N. Elmqvist and D. S. Ebert, 44th Hawaii International Conference on System Sciences, 2011, pp. 1-8.
• StarGate: A Unified, Interactive Visualization of Software Projects, M. Ogawa and K.-L. Ma, IEEE Pacific Visualization Symposium, 2008, pp. 191-198.

class 14: (Oct. 5) Visualizations of Geospatial Content (slides) and In-Class Project Day (Tasks and Team) (slides)

• Interactive Visual Exploration of a Large Spatio-Temporal Dataset: Reflections on a Geovisualization Mashup, J. Wood et al., IEEE Transactions on Visualization and Computer Graphics, vol. 13, no. 6, pp. 1176-1183.

class 15: (Oct. 12) Visualizations of Visual Content (slides)

• Flexible Access to Photo Libraries via Time, Place, Tags, and Visual Features , Girgensohn, A. et al., In Proceedings of ACM/IEEE JCDL 2010, pp. 187-196.
• Adaptive Clustering and Interactive Visualizations to Support the Selection of Video Clips, Girgensohn, A., Shipman, F. and Wilcox, L., In Proceedings of ACM International Conference on Multimedia Retrieval 2011, Article 34, pp. 1-8.

class 16: (Oct. 17) Visualizations of Interaction (slides)

• Studying cooperation and conflict between authors with history flow visualizations , Viegas, F. et al., In Proceedings of CHI 2004, pp. 575-582.
• Visualizing history to improve users' location and comprehension of collaborative work, Kim, D. and Shipman, F., In Proceedings of GROUP 2012, pp. 11-20.

class 17: (Oct. 19) Visualizations of Temporal Content (slides) and In-Class Project Day (Individual Progress) (slides)

• A Review of Temporal Data Visualizations Based on Space-Time Cube Operations, B. Bach et al., Eurographics Conference on Visualization (EuroVis), 2014, pp. 1–19.

class 18: (Oct. 24) Visualizing Heterogeneous Data (slides)

• PerCon: a personal digital library for heterogeneous data, S.I. Park and F. Shipman, Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2014, pp. 97-106.

class 19: (Oct. 26) Project Reports (slides)

Phase III (Initial Implementation)

Extend your written report by adding two new sections:

• A System Architecture section presenting a diagram of the components of your system and data flow between and user activity with these components
  
• A Prototype section showing screen shots (as possible) of your current status

Template for in-class presentation

Do not change the background, fonts or default colors in the slides -- they will be merged for the presentations.

class 20: (Oct. 31) Automatic and Mixed-Initiative Visualization (slides)

• Show Me: Automatic Presentation for Visual Analysis, J. Mackinlay, P. Hanrahan, and C. Stolte, IEEE Transactions on Visualization and Computer Graphics, Vol. 13, Issue 6, 2007, pp. 1137-1144.
• Voyager 2: Augmenting visual analysis with partial view specifications, K. Wongsuphasawat, Z. Qu, D. Moritz, R. Chang, F. Ouk, A. Anand, J. Mackinlay, B. Howe, and J. Heer, Proceedings of the CHI Conference on Human Factors in Computing Systems, 2017, pp. 2648-2659.

class 21: (Nov. 2) Evaluation and In-Class Project Activity (Evaluation) (slides)

• Evaluating Information Visualizations, S. Carpendale, In: Kerren A., Stasko J.T., Fekete JD., North C. (eds) Information Visualization. Lecture Notes in Computer Science, vol 4950. Springer, Berlin, Heidelberg.
  Warning: Link is to whole book -- just read the one chapter.

class 22: (Nov. 7) Crossing the Paper/Digital Divide (slides)

• Augmenting Static Visualizations with PapARVis Designer, Z. Chen et al., Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 2020, pp. 1-12.

class 23: (Nov. 9) In-Class Project Activity (The Whole Story) (slides)

class 24: (Nov. 14) Visualization in Virtual Reality (slides)

• Immersive and Collaborative Data Visualization Using Virtual Reality Platforms, C. Donalek et al., IEEE International Conference on Big Data (Big Data), 2014, pp. 609-614.
• Exploring Data in Virtual Reality: Comparisons with 2D Data Visualizations, P. Millais, S. Jones, and R. Kelly, CHI EA '18: Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, 2018, pp. 1-6.

class 25: (Nov. 16) The Future of Data Visualization (slides) and In-Class Project Activity (What is Left -- Is It Time to Panic?)

• Big Data Visualization and Analytics: Future Research Challenges and Emerging Applications, G. Andrienko et al., Workshop Proceedings of the EDBT/ICDT 2020 Joint Conference, 2020.

class 26: (Nov. 21) Project Wrap Up Day

class 27: (Nov. 28) Project Reports, Final (Presentation and Demonstration)

• 5 Guys
• Forward Thinkers
• Highway Riders
• Powerball Winners
• Shipman Sergeants
• Team Spotify
• The Eras Tour

class 28: (Nov. 30) Project Reports, Final (Presentation and Demonstration)

• Bleacher Report
• Bytes & Bars
• CHAJ
• Data Wizards
• Rotten Potatoes
• TARAN
• Traffic Totalities