Schedule

Overview

 Week  Dates Topic Topic HW
1 Jan 14 Introduction
2 Jan 19, 21 Data Vis overview Multivariate data & tables HW 1
3 Jan 26, 28 Statistical graphs Design practice & exercises 1 HW 2
4 Feb 2, 4 Tools Multivar. reps. - Lines, axes, regions
5 Feb 9, 11 Multivar. reps. - Dots, glyphs Visual perception HW 3
6 Feb 16, 18 User tasks and analysis Design
7 Feb 23, 25 Tufte's principles Communication & storytelling HW 4
8 Mar 2, 4 Tableau Interaction
9 Mar 9, 11 Overview & detail Text & documents HW 5
10 Mar 16, 18 No Class - Spring break Geospatial visualization
11 Mar 23, 25 Graphs and networks Hierarchies & trees
12 Mar 30, Apr 1     Guest speaker: Prof. C. Andris    Time series data
13 Apr 6, 8 Evaluation Design practice & exercises 2 HW 6
14 Apr 13, 15 Exam Data Humanism
15 Apr 20, 22 Project Work Day Visual analytics
16 Apr 27 Review & Project discussion
17 May 4* Project video presentations (2:40-5:30 pm)

Detail

Below are summaries of all the materials for each class. References for readings and articles, videos shown, websites referenced, and software demonstrated are listed for each topic. NYSI refers to a chapter from S. Few's Now You See It. The lecture slides are included in Canvas.


Jan. 14 -- Introduction

Class Slides

  • In Canvas

    Post Reading
  • Tufte Shuttle recap

    Websites
  • Video of accident on youtube
  • Tufte's book containing Challenger discussion
  • Report of the Presidential Commission on the Space Shuttle Challenger Accident
  • Challenger disaster - Wikipedia page about accident
  • Weather's role in the disaster (weather.com)
  • Challenger engineer blames himself
  • Challenger crew - What happened (gawker.com)
  • Criticism of Tufte's analysis from Online Ethics Center for Engineering and Research
  • Coronavirus Pandemic Data Explorer from Our World in Data
  • Covid state restrictions from NY Times

    Jan. 19 -- Data Vis Overview

    Pre Reading
  • NYSI chapters 1 and 2
  • Data Visualization Versus UI and Data Science, L. Cherny

    Post Reading
  • S. Card, J. Mackinlay and B. Shneiderman, Readings in Information Visualization, Using Visualization to Think Morgan Kaufmann, 1999, pp. 1-34.

    Relevant
  • S. K. Card, "Information visualization." In The Human-Computer Interaction Handbook, J. Jacko, A. Sears, (editors), Lawrence Erlbaum Associates; 2003.
  • J.-D. Fekete, J. van Wijk, J. Stasko, C. North, "The Value of Information Visualization", in Information Visualization: Human-Centered Issues and Perspectives, (Editors: A. Kerren, J. Stasko, J.-D. Fekete, C. North), Springer, 2008, pp. 1-18.
  • C. North, "Information Visualization", in Handbook of Human Factors and Ergonomics, G. Salvendy (editor), John Wiley & Sons, 2005.

    Websites
  • Anscombe's Quartet
  • Nuclear arms race - visual.ly
  • Death and Taxes - visual.ly
  • Best beer in America - Mike Wirth Art
  • Beer - Beer graph
  • Religious belief and income - awesome.good.is
  • Where We Live - Joe Lertola
  • 60 Silliest pie charts - twentytwowords.com
  • FOX News pie chart
  • People are worried about Covid, from Gigi
  • NameVoyager of the Baby Name Wizard
  • Use of candidate's names - from the NY Times
  • Netflix Queues - from the NY Times
  • InfoVis Wiki
  • Flowing Data
  • Chartable, from Datawrapper
  • Scoop.It!
  • The Economist's Graphic Detail
  • Visualization Blog Compendium

    Jan. 21 -- Multivariate Data & Tables

    Pre Reading
  • How to Prepare Data, Lisa Charlotte Rost
  • Art and Science of the scatterplot, Pew Research

    Websites
  • Not applicable data, stephaniegreen
  • Trifacta - Data wrangling
  • Tackling air pollution & climate change (scatterplot ex), GAHP

    Videos
  • Data cleaning using Trifacta's Wrangler

    Jan. 26 -- Statistical Graphs

    Pre Reading
  • Use Pie Charts?, policyviz.com
  • "Effectively Communicating Numbers - Selecting the Best Means and Manner of Display", S. Few, 2006.

    Relevant
  • S. Few, Show Me the Numbers, Analytics Press, 2004.
  • S. Few, Now You See It, Analytics Press, 2009.

    Websites
  • Bar charts must have zero baseline, C. N. Knaflic
  • Bar Chart Baselines Start at Zero, N. Yau
  • OK not to start y-axis at zero, D. Yanofsky
  • Line graphs with zero baseline?, A. Cairo
  • Graph baselines at zero?, S. Haroz
  • French Fry power ranking, LA Times
  • Stacked bar charts, Priceonomics
  • Caffeine's effect on sleeping, Towards Data Science
  • When to use Bump Charts, K. Flerlage
  • Chartopedia, anychart.com
  • Dataviz Project by ferdio
  • Google Chart Gallery

    Videos
  • Remove to Improve (pie chart), Joey Cherdarchuk
  • LastHistory, InfoVis '10

    Jan. 28 -- Practice & Examples

    Websites
  • Five ways to draw a bar chart, Andy Kirk
  • How many ways can you draw a barchart?, Leenke De Donder
  • One data set visualized 25 ways, N. Yau

    Feb. 2 -- Visualization Tools

    Post Reading
  • One Chart, 12 Tools from Lisa Charlotte Rost
  • One Chart, 9 Tools - Revisited, from Lisa Charlotte Rost

    Relevant
  • J. Schwabish, Guide to Data Visualization with Excel

    Websites
  • My Top 10 Data Visualization Excel Websites, John Schwabish
  • Retrospective on Many Eyes, Frank Van Ham
  • Visualising Data's software resources list
  • Creative Bloq's 37 best tools for data visualization
  • Profitbrick's 39 Data visualization tools for big data
  • Top 20 Data Visualization Tools from UIE
  • Data visualization projects on GitHub
  • Frustrations with DataViz Tools, J. McChesney

    Videos
  • Using ManyEyes 1
  • Using ManyEyes 2
  • Voyager
  • Voyager 2

    Software
  • Datawrapper
  • RAWGraphs
  • inzight
  • Flourish
  • Voyager, Univ. of Washington
  • Voyager 2, Univ. of Washington
  • Keshif, Univ. of Maryland

  • Feb. 4 -- Multivar. Visual Reps: Lines, Axes, & Regions

    Relevant
  • J.H.T. Claessen, J. van Wijk, "Flexible Linked Axes for Multivariate Data Visualization," IEEE Trans. on Visualization and Computer Graphics, Vol. 17, No. 12, Dec. 2011, pp. 2310-2316.
  • S. Gratzl, A. Lex, N. Gehlenborg, H. Pfister, and M. Streit, "LineUp: Visual Analysis of Multi-Attribute Rankings", IEEE Trans. on Visualization and Computer Graphics, Vol. 19, No. 12, pp. 2277-2286, Dec. 2013.
  • D. Keim, "Information Visualization and Visual Data Mining."IEEE Trans. on Visualization and Computer Graphics, Vol. 8, No. 1, pp. 1-8, 2002.
    R. Rao and S.K. Card, "The Table Lens: Merging Graphical and Symbolic Representations in an Interactive Focus+Context Visualization for Tabluar Information", Proceedings of ACM CHI '94, Apr. 1994, pp. 318-322.
  • M. Spenke, C. Beilken, T. Berlage, "FOCUS: The Interactive Table for Product Comparison and Selection." Proceedings of ACM UIST '96, Nov. 1996, pp. 41-50.

    Websites
  • Parallel coordinates, Julian Heinrich
  • Star/Radar plots of fast food restaurants, BoingBoing
  • Problem with Radar plots, Luke Bornn
  • Parallel Sets, UNCC, InfoVis '05

    Videos
  • Table Lens, Xerox PARC, CHI '95
  • EZChooser, MERL
  • LineUp, Linz & Harvard, InfoVIs '03
  • FLINA View, TU Eindhoven, InfoVis '11

    Software
  • LineUp, Caleydo
  • Parallel Sets, UNCC

    Feb. 9 -- Multivar. Visual Reps: Dots and Glyphs

    Pre Reading
  • Dear Data
  • Importance of Chart Type Names, Xenographics
  • When Charts Go Weird: The Joy of Xenographics, Duncan Geere

    Post Reading
  • Designing a Custom Visualization, Jon Olav H. Eikenes

    Relevant
  • D. Keim, M. Hao, U. Dayal, and M. Hsu, "Pixel Bar Charts: A visualization technique for very large multi-attribute data sets", Information Visualization, Vol. 1, No. 1, March 2002, pp. 20-34.
  • B. Alsallakh, L, Micallef, W. Aigner, H. Hauser, S. Miksch, P. Rodgers, "Visualizing Sets and Set-typed Data: State-of-the-Art and Future Challenges." State-of-the-Art Reports of the Eurographics Conference on Visualization 2014 (EuroVis 2014), June 2014.
  • D. Park, S. M. Drucker, R. Fernandez and N. Elmqvist, "Atom: A Grammar for Unit Visualizations," IEEE Trans. on Visualization & Computer Graphics, vol. 24, no. 12, pp. 3032-3043, Dec. 2018.
  • J.M. Rzeszotarski and A. Kittur. "Kinetica: naturalistic multi-touch data visualization." Proc. of CHI '14, pp. 897-906.
  • J. S. Yi, R. Melton, J. Stasko, and J. Jacko, "Dust & Magnet: Multivariate Information Visualization using a Magnet Metaphor," Information Visualization, Vol. 4, No. 4, Winter 2005, pp. 239-256.

    Websites
  • Chicago police detainees, the Guardian
  • The Swedish Vote, svt
  • Gun deaths in the US, FiveThirtyEight
  • Spending at Trump properties, Axios
  • US states in Chernoff faces, L. Gamio at Axios
  • Surviving the Titanic, Tableau Public
  • The Women of Data Viz, by Alli Torban
  • Nation's World Cup appearances, Sonja Kuijpers
  • Democratic Deficit Countries, Frederica Fragapane
  • Xenographics, Martin Lambrechts

    Videos
  • Dust & Magnet, Georgia Tech, Information Visualization '05
  • Dust & Magnet on MSR Hub, Georgia Tech, '16
  • Kinetica, CMU, CHI '14
  • SandDance, Microsoft Research
  • Untangling Euler Diagrams, MSR, InfoVis '10
  • OnSet, Georgia Tech, InfoVis '14

    Software
  • SandDance, Microsoft Research
  • OnSet, Georgia Tech, InfoVis '14

    Feb. 11 -- Visual Perception

    Pre Reading
  • NYSI chapter 3
  • Choosing Colors for Data Visualization, M. Stone, 2006.
  • How to pick more beautiful colors for your data visualizations, L. C. Rost
  • Viz Palette for Data Visualization Color, E. Meeks

    Relevant
  • V. Setlur and M. Stone, "A Linguistic Approach to Categorical Color Assignment for Data Visualization", IEEE Trans. on Visualization and Computer Graphics, Vol. 22, No. 1, Jan. 2016, pp. 698-707.

    Videos
  • Color in political maps from the Daily Show
  • Himba tribe and how they perceive colors
  • Change blindness picture examples, from UBC
  • Change blindness video examples, from Dan Simons at Illinois

    Websites
  • C. Healey, "Perception in Visualization," NC State
  • Color blindness evaluation, Colorlite
  • How the Himba see colors, Gondwana collection
  • Color Brewer, C. Brewer
  • ColorDesigner
  • Coolors
  • Colorgorical, Brown Univ.
  • Viz Palette, seeing colors in action, E. Meeks & S. Lu
  • chroma.js JavaScript library for helping work with colors, G. Aisch
  • How not to suck at color, Greg Gunn
  • Checker shadow illusion, Wikipedia
  • What color are the balls?, Chaz Firestone
  • Color selector algorithm, Tableau
  • Interactive color challenge
  • Color names from xkcd
  • Color resources, If We Assume
  • Choosing Fonts for Data Vis, Tiffany France
  • The little of vis design, from visualisingdata.com, A. Kirk
  • 39 studies about human perception, from K. Elliott

    Feb. 16 -- User Tasks and Analysis

    Pre Reading
  • Banning exploration in my infovis class, by E. Adar

    Relevant
  • R. Amar, J. Eagan, and J. Stasko, "Low Level Components of Analytic Activity in Information Visualization", Proc. of IEEE InfoVis '05, Oct. 2005, pp. 111-117.
  • R. Amar and J. Stasko, "Knowledge Precepts for Design and Evaluation of Information Visualizations," IEEE Transactions on Visualization and Computer Graphics, Vol. 11, No. 4, July/August 2005, pp. 432-442.
  • M. Brehmer and T. Munzner, "A Multi-Level Typology of Abstract Visualization Tasks", IEEE Trans. on Visualization and Computer Graphics, Vol. 19, No. 12, Dec. 2013, pp. 2376-2385.
  • D. Norman, "The Power of Representation", Chapter 3 in Things That Make Us Smart: Defending Human Attributes in the Age of the Machine, Addison-Wesley, 1994.
  • A. Rind, W. Aigner, M. Wagner, S. Miksch, and T. Lammarsch, "Task Cube: A three-dimensional conceptual space of user tasks in visualization design and evaluation", Information Visualization, Vol. 15, No. 4, pp. 288-300, 2015.
  • H.J. Schulz, T. Nocke, M. Heitzler, and H. Schumann, "A Design Space of Visualization Tasks", IEEE Trans. on Visualization and Computer Graphics, Vol. 19, No. 12, Dec. 2013, pp. 2366-2375.
  • K. Sedig, P. Parsons, A. Babanski, "Towards a Characterization of Interactivity in Visual Analytics" JMPT, Vol. 3, No. 1, 2012, pp. 12-28.
  • B. Shneiderman, "The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations." Proc. 1996 IEEE Visual Languages, Sept. 1996, pp. 336-343.

    Feb. 18 -- Design

    Pre Reading
  • Design and Redesign in Visualization, Viegas & Wattenberg
  • Chart Design lessons from Covid, A. Makulec
  • What Makes a Vis Elegant? , A. Kirk

    Post Reading
  • A. Vande Moere and H. Purchase, "On the role of Design in Information Visualization", Information Visualization, Vol. 10, No. 4, pp. 356-371, 2011. (in Canvas)

    Relevant
  • Z. Liu, J. Thompson, et al, "Data Illustrator: Augmenting Vector Design Tools with Lazy Data Binding for Expressive Visualization Authoring", Proc. of CHI '18, Apr. 2018.
  • M. Sedlmair, M. Meyer, T. Munzner, "Design Study Methodology: Reflections from the Trenches and Stacks", IEEE Transactions on Visualization and Computer Graphics, Vol. 18, No. 12, Dec. 2012, pp. 2431-2440.

    Web Articles
  • Design challenges, Storytelling with Data
  • Country donations design challenge, storytelling with data
  • How to Make Accessible Visualizations, fossheim.io
  • Data Viz Trends in the #TidyTuesday Community, N. Grantham
  • How I Became a Data Vis Designer, N. Bremer
  • Best of 2020, N. Yau, FlowingData
  • Best of 2020, fivethirtyeight
  • Best of 2020, Flourish
  • Best of 2020, VisualCapitalist
  • List of Best of 2020 Lists

    Web Visualizations
  • Covid outcomes, COBR
  • Earth's Surface, Visual Capitalist
  • Tornadoes, Flerlage brothers
  • Nobel Prize winners, Giorgia Lupi and Accurat
  • Alberto Cairo

    Systems
  • SketchInsight
  • Lyra
  • iVisDesigner
  • Data-Driven Guides
  • iVoLVER
  • InfoNice
  • DataInk
  • Data Illustrator
  • Charticulator

    Feb. 23 -- E. Tufte's Visual Design Principles

    Post Reading
  • Why you sometimes need to break the rules, Rosamund Pearce
  • Tufte, Envisioning Information

    Relevant
  • S. Bateman, et al, "Useful Junk? The Effects of Visual Embellishment on Comprehension and Memorability of Charts", Proceedings of CHI '10, April 2010, pp. 2573-2582.
  • M. Borkin, et al, "What Makes a Visualization Memorable?", IEEE Trans. on Visualization and Computer Graphics, Vol. 19, No. 12, Dec. 2013, pp. 2306-2315.

    Web Articles
  • Why charts should have a zero baseline
  • Georgia's Covid dashboard, Atlanta Magazie
  • Declutter this graph example, by Cole Nussbaumer Knaflic
  • Donations about deiseases, Circle width versus area, R. Krum

    Websites
  • Tufte's website
  • Scrollytelling version of Minard's march
  • Nigel Holmes website
  • WTF Visualizations
  • Junk charts

    Feb. 25 -- Communication & Storytelling

    Pre Reading (Viewing, in this case)
  • 500,000 dots is too many, F. Gagnon
  • How is an infographic different than a data vis, P. Taei
  • The Case for a New Type of Minimum Wage using Tableau StoryPoints
  • Bubble to Bust Recovery from Bloomberg
  • Americans are Completely Addicted to Trucks from Bloomberg
  • MBTA Data from WPI
  • The Fallen of WWII

    Post Reading
  • A. Thudt, J. Walny, T. Gschwandtner, J. Dykes, J. Stasko, "Exploration and Explanation in Data Driven Storytelling", chapter in Data-Driven Storytelling, edited by N. Henry Riche, C. Hurter, N. Diakopoulos, and S. Carpendale, CRC Press, 2018. (in Canvas)

    Relevant
  • N. Henry Riche, C. Hurter, N. Diakopoulos, and S. Carpendale (editors), Data-Driven Storytelling, CRC Press, 2018.
  • J. Hullman and N. Diakopoulos, "Visualization Rhetoric: Framing Effects in Narrative Visualization." IEEE Trans. on Visualization and Computer Graphics, Vol. 17, No. 12, Dec. 2011, pp. 2231-2240.
  • J. Hullman, S. Drucker, N. Riche, B. Lee, D. Fisher, and E. Adar. "A Deeper Understanding of Sequence in Narrative Visualization." IEEE Trans. on Visualization and Computer Graphics, Vol. 19, No. 12, Dec. 2013, pp. 2406-2415.
  • R. Kosara and J. Mackinlay. "Storytelling: The Next Step for Visualization." Computer, Vol. 46, No. 5, May 2013, pp. 44-50.
  • E. Segel and J. Heer, "Narrative Visualization: Telling Stories with Data", IEEE Trans. on Visualization and Computer Graphics, Vol. 16, No. 6, Nov.-Dec. 2010, pp. 1139-1148.

    Videos
  • Hans Rosling talk - from TED Conference, 2006
  • Hans Rosling talk - from TED Conference, 2007
  • Story about Hans Rosling, Nature
  • An Inconvenient Truth - Wikipedia page about film
  • How Mariano Rivera Dominates Hitters - from the NY Times
  • David McCandless talk - from TED Conference, 2010
  • Hans Rosling updated - from the BBC

    Web Articles
  • W.E.B. Du Bois , dataliteracy.com
  • W.E.B. Du Bois' Visionary Infographics , Smithsonian
  • Legacy of W.E.B. Du Bois , J. Forrest
  • Tufte praises Megan Jaegerman
  • Obama job chart discussion
  • What Killed the InfoGraphic?
  • Motivational Visualizations, Eli Holder

    Websites and visualizations
  • Data-Driven Journalism
  • Collection of DDS EXamples, and framework of techniques used
  • Infographic of infographics from wired
  • Obesity in America from thedinfographics.com
  • Left vs. Right from information is beautiful
  • Weather radials
  • The Case for a New Type of Minimum Wage using Tableau StoryPoints
  • Bubble to Bust Recovery from Bloomberg
  • Americans are Completely Addicted to Trucks from Bloomberg
  • MBTA Data from WPI
  • Ben & Jerry's ice cream, Hesham Eissa & Lindsey Poulter
  • College Football Crowds and Covid Risk, ESPN
  • The Fallen of WWII
  • Street Names from NY Times
  • Satellites Orbiting Earth from Quartz
  • Gay rights in US states from the Guardian
  • How Levees Increase Flooding, ProPublica
  • Visual Intro. to Machine Learning
  • Family income and college from NY Times
  • China's economic slowdown from the Guardian
  • Film Dialog from Polygraph
  • What's Really Warming the World?from Bloomberg
  • Can you live on minimum wage? from NY Times
  • California's Getting Fracked from Flagg, Craig, and Bruno
  • Drone Strikes from Pitch Interactive
  • Climate Change from Washington Post
  • Why do dogs? from Nadieh Bremer
  • Information is Beautiful - David McCandless' website
  • Data Storytelling Resources from Juice Analytics

    Mar. 2 -- Tableau

    Web Articles
  • Tableau training videos, Tableau
  • Tableau Basics in 6 minutes , Jeff Hale
  • Small multiples Krishna P.
  • Tableau mistakes to avoid
  • Creating animations in Tableau R. Rai
  • 30 resources for Tableau dashboards
  • Tableau Resources , Alberto Cairo
  • Comparing Tableau to powerBI

    Videos
  • Tableau tutorial, from Edureka
  • Tableau Zen Master Tips & Tricks, Andy Kriebel

    Software
  • Tableau

    Mar. 4 -- Interaction

    Pre Reading
  • NYSI chapter 4
  • Why are we doing fewer interactive graphics?, A. Tse, NYT Deputy Graphics Editor (review the slides of the talk)
  • The death of interactive infographics?, D. Baur
  • In Defense of Interactive Graphics, G. Aisch, NYT

    Post Reading
  • J.S. Yi, Y.A. Kang, J.T. Stasko and J.A. Jacko, "Toward a Deeper Understanding of the Role of Interaction in Information Visualization", IEEE Transactions on Visualization and Computer Graphics, Vol. 13, No. 6, Nov/Dec 2007, pp. 1224-1231.

    Relevant
  • A. Dix and G. Ellis, "Starting Simple - adding value to static visualisation through simple interaction." Proc. of AVI '98, May 1998, pp. 124-134.
  • N. Elmqvist, A. Vande Moere, H-C. Jetter, D. Cernea, H. Reiterer, and TJ Jankun-Kelly, "Fluid interaction for information visualization", Information Visualization, Vol. 10, No. 4, Oct. 2011, pp. 327-340.
  • J. Heer and G. Robertson. "Animated Transitions in Statistical Data Graphics," IEEE Transactions on Visualization and Computer Graphics Vol. 13, No. 6, Nov.-Dec. 2007, pp. 1240-1247.
  • J. Heer, M. Agrawala, W. Willett, "Generalized Selection via Interactive Query Relaxation", Proc. of CHI '08, Apr 2008, pp. 959-968.
  • R. Sadana and J. Stasko, "Designing and Implementing an Interactive Scatterplot Visualization for a Tablet Computer", Proc. of AVI '14, May 2014, pp. 265-272.
  • B. Shneiderman, "Dynamic Queries for Visual Information Seeking", IEEE Software, Vol. 11, No. 6, pp. 70-77, 1994.

    Videos
  • Generalized Selection, Stanford, CHI '08
  • FacetMap, MSR, InfoVis '06
  • FilmFinder, Univ. Maryland, CHI '94
  • Magic Lens & See Through Tools, Xerox PARC, CHI '94 & '95
  • DynaVis animation, MSR, InfoVis '07
  • Dust & Magnet, Georgia Tech, Information Visualization '05
  • OnSet, Georgia Tech, InfoVis '14
  • DataBreeze (multimodal interaction), Georgia Tech

    Software
  • HomeFinder, Univ. of Maryland download
  • Spotfire
  • OnSet, Georgia Tech, InfoVis '14

    Websites
  • Interactive histogram from Alan Dix
  • Visual Thesaurus
  • NameVoyager of the Baby Name Wizard
  • Dynamic query on apt finding, WalkScore
  • Diamond finder with dynamic queries
  • Brushable scatterplot matrix, M. Bostock
  • Animated income mobility charts, NY Times

    Mar. 9 -- Overview and Detail (including Focus + Context and Zooming)

    Pre Reading
  • Micro-macro view superpower, D. Baur

    Relevant
  • A. Cockburn, A. Karlson, and B. Bederson, "A Review of Overview+Detail, Zooming, and Focus+Context Interfaces", ACM Computing Surveys, Vol. 41, No. 1, Dec. 2008, pp. 2:1-2:31.
  • B. Bederson, J. Meyer, L. Good, "Jazz: An Extensible Zoomable User Interface Graphics Toolkit in Java", Proceedings of UIST 2000, Nov. 2000, pp.171-180.
  • B. Bederson et al, "DateLens: A fisheye calendar interface for PDAs," ACM Trans. on CHI, Vol. 11, No. 1, March 2004, pp. 90-119.
  • G. Furnas, "Generalized Fisheye Views", Proc. of CHI '86, pp. 16-23.
  • G. Furnas and B. Bederson, "Space-Scale Diagrams: Understanding Multiscale Interfaces", Proc. of CHI '95, May 1995, pp. 234-241.
  • G. W. Furnas, "A fisheye follow-up: further reflections on focus + context", Proc. of CHI '06, April 2006, pp. 999-1008.
  • C. Plaisant, D. Carr, and B. Shneiderman, "Image-Browser Taxonomy and Guidelines for Designers", IEEE Software, Vol. 12, No. 2, pp. 21-32, March 1995.
  • M. Sarkar and M. H. Brown, "Graphical fisheye views", Communications of the ACM, Vol. 37, No. 12, pp. 73-84, Dec. 1994.

    Videos
  • Powers of Ten, by Eames
  • PadPrints, New Mexico, UIST '98
  • PhotoMesa, Maryland, UIST '01
  • FacetZoom, CHI '08
  • Information Mural, Georgia Tech, InfoVis '95
  • Fisheye Views of Graphs, DEC SRC, CHI '93
  • Table Lens, Xerox PARC, CHI '95
  • DateLens, Maryland & MSR

    Websites
  • Powers of 10
  • Scale of the Universe 2 - Zooming example
  • prezi.com
  • Selfiecity
  • DateLens, Maryland

    Mar. 11 -- Text and Documents

    Pre Reading
  • F. Viegas, M. Wattenberg, "Tag Clouds and the Case for Vernacular Visualization", interactions, Vol. 15, No. 4, Jul-Aug 2008, pp. 49-52. (article in Canvas)
  • Why Should We Count Words?, H. Froehlich

    Relevant
  • D.A. Keim and D. Oelke, "Literature Fingerprinting: A New Method for Visual Literary Analysis", Proc. of IEEE VAST '07, Oct. 2007, pp. 115-122.
  • J. Chuang, D. Ramage, C.D. Manning, J. Heer, "Interpretation and Trust: Designing Model-Driven Visualizations for Text Analysis", Proc. of CHI '12, pp. 443-452.
  • C. Görg, et al, "Combining Computational Analyses and Interactive Visualization for Document Exploration and Sensemaking in Jigsaw", IEEE Trans. on Visualization and Computer Graphics, Vol. 19, No. 10, Oct. 2013, pp. 1646-1663.
  • S. Havre, B. Hetzler, and L. Nowell, "ThemeRiver: Visualizing Theme Changes over Time", Proceedings of the 2000 IEEE Information Visualization Symposium, Salt Lake City, Oct. 2000, pp. 115-123.
  • F. Viegas, S. Golder, and J. Donath, "Visualizing Email Content: Portraying Relationships from Conversational Histories", Proceedings of CHI 2006, April 2006, pp. 979-988.
  • F. Viegas, M. Wattenberg, J. Feinberg, "Participatory Visualization with Wordle", IEEE Trans. on Visualization and Computer Graphics, Vol. 15, No. 6, Nov.-Dec. 2009, pp. 1137-1144.
  • M. Wattenberg, F. Viegas, "The Word Tree, an Interactive Visual Concordance", IEEE Trans. on Visualization and Computer Graphics, Vol. 14, No. 6, Nov.-Dec. 2008, pp. 1245-1252.
  • J. Wise, "Visualizing the Non-Visual: spatial analysis and interaction with information from text documents," Proceedings of the Information Visualization '95 Conference, Atlanta, GA, Oct. 1995, pp. 51-58.

    Videos
  • Parallel Tag Clouds, IBM, VAST '09
  • FeatureLens, Maryland, CIKM '07
  • SentenTree, Georgia Tech & Twitter
  • Jigsaw, Georgia Tech, VAST '07
  • Jigsaw (academic papers), Georgia Tech, TVCG '13
  • Jigsaw (car reviews), Georgia Tech, TVCG '13
  • SPIRE, PNL, InfoVis '95

    Websites
  • Convention word counts, the New York Times
  • Counting words
  • Word clouds considered harmful, Jacob Harris
  • Wordle
  • State of the Union Wordles, The Guardian
  • EdWordle
  • How to Improve Word Clouds, M. Hearst
  • Voyant Tools
  • Word use in State of Union, NY Times
  • State of Union words, NY Times
  • Concordance software
  • SentenTree, Georgia Tech & Twitter
  • TextArc, recreated at vallandingham.me
  • Jigsaw, Georgia Tech
  • Dissertation browser, Stanford
  • Text Vis Browser, Linnaeus Univ.

    Mar. 18 -- Geospatial Visualization

    Relevant
  • Dykes, J., Wood, J. & Slingsby, A. (2010). Rethinking map legends with visualization. IEEE Transactions on Visualization and Computer Graphics, 16(6), pp. 890-899.
  • Wood, J., Badawood, D., Dykes, J. & Slingsby, A. (2011) BallotMaps: Detecting name bias in alphabetically ordered ballot papers. . IEEE Transactions on Visualization and Computer Graphics, 17(12), pp. 2384-2391.
  • Van Wijk, J. J. (2013). Unfolding the earth: myriahedral projections. The Cartographic Journal.
  • Kraak, M. J. (2003, August). The space-time cube revisited from a geovisualization perspective. In Proc. 21st International Cartographic Conference(pp. 1988-1996).
  • Tominski, C., Schumann, H., Andrienko, G., & Andrienko, N. (2012). Stacking-based visualization of trajectory attribute data. IEEE Transactions on visualization and Computer Graphics, 18(12), 2565-2574.
  • Kraak, M. J., & Ormeling, F. (2011). Cartography: visualization of spatial data. GuilfordPress.
  • Robinson, A. H. M., Muehrcke, J. L., Kimerling, P. C., & Guptill, A. J. (1995). Elements of cartography (No. 526 E4).

    Websites
  • Map of every European city , TerribleMaps
  • Map of every American city , TerribleMaps
  • Racial dot map, Univ. Virginia
  • FL counties vote symbol map , NY Times
  • US counties vote , USA Today
  • US county vote swings , G. Elliott Morris
  • Map of Native Americans
  • European population changes, interaktiv morgenpost
  • Different units, different patterns, Lisa Charlotte Rost, datawrapper blog
  • Modern Family vs. Duck Dynasty, NY Times
  • Do you live near a meth lab? , CNN
  • Where are your Facebook friends? , NY Times
  • Redistricting Maps, fivethirtyeight
  • Why political boundary lines matter (animated) , electoralreform
  • German towns ending in... , truth and beauty.net
  • How Amercia uses its land, Bloomberg
  • Tips for creating choropleth maps, Lisa Charlotte Rost, datawrapper blog
  • World population cartogram , ourworldindata.org
  • US House Demographics, dailykos
  • World in 3D , pudding.com
  • Gay rights in the US
  • Gay rights in the US 2
  • Gay rights in US states from the Guardian
  • 2016 election map from 538
  • Women are defeating Trump, 538
  • How Election Maps Lie, Washington Post
  • Is US leaning red or blue?, Wired
  • 12 Notable Election Vis Techniques 2016, visualisingdata
  • 2020 Election results , Bloomberg
  • 2020 Election results , Financial Times
  • 2020 Vote count timing , 538
  • Visualizing the 2020 Election , Ken Flerlage
  • Voting Changes (animated) , Washington Post Video
  • 2020 Election results , Kyle Kim
  • 2020 Elections Vis Compilation , Lisa Charlotte Rost
  • Regions of the US, NY Times
  • Ken Fields' website
  • Wild US Maps , ranker.com
  • Maps showing a new perspective , Trend Chase

    Software Tools
  • Leaflet
  • Turf
  • Unfolding
  • ColorBrewer
  • Visualizing Geo Stat Data with Google Maps, N. Holmberg

    Videos
    Cartographers from the West Wing TV show
    Unfolding the Earth by Jarke van Wijk
    London Bike Trips Jo Wood, City niversity London

    Mar. 23 -- Graphs and Networks

    Relevant
  • I. Herman, et al, "Graph Visualization and Navigation in Information Visualization: A Survey", IEEE Trans. on Visualization and Computer Graphics, Vol. 6, No. 1, Jan-Mar 2000, pp. 24-43.
  • D. Holten, "Hierarchical edge bundles: Visualization of adjacency relations in hierarchical data," IEEE Trans. on Visualization and Computer Graphics, Vol. 12, No. 5, Sep.-Oct. 2006, pp. 741-748.
  • B. Lee, C. Parr, C. Plaisant, B. Bederson, V. Veksler, W. Gray, and C. Kotfila "TreePlus: Interactive Exploration of Networks with Enhanced Tree Layouts", IEEE Trans. on Visualization and Computer Graphics, Vol. 12, No. 6, Nov.-Dec. 2006, pp. 1414-1426.
  • B. Lee, C. Plaisant, C. Sims Parr, J.-D. Fekete, N. Henry, "Task Taxonomy for Graph Visualization", Proc. of BELIV '06, April '06, pp. 1-5.
  • A. Perer, B. Shneiderman, "Balancing Systematic and Flexible Exploration of Social Networks," IEEE Trans. on Visualization and Computer Graphics, Vol. 12, No. 5, Sep.-Oct. 2006, pp. 693-700.
  • B. Shneiderman, A. Aris, "Network Visualization by Semantic Substrates," IEEE Trans. on Visualization and Computer Graphics, Vol. 12, No. 5, Sep.-Oct. 2006, pp. 733-740.
  • F. van Ham and A. Perer, "Search, Show Context, Expand on Demand: Supporting Large Graph exploration with Degree-of-Interest", IEEE Trans. on Visualization and Computer Graphics, Vol. 15, No. 6, Nov.-Dec. 2009, pp. 953-960.
  • M. Wattenberg, "Visual exploration of multivariate graphs," Proceedings of ACM CHI '06, Montreal, Canada, April 2006, pp. 811-819.
  • P.C. Wong, H. Foote, G. Chin, P. Mackey, K. Perrine, "Graph Signatures for Visual Analytics", IEEE Trans. on Visualization and Computer Graphics, Vol. 12, No. 6, Nov.-Dec. 2006, pp. 1399-1413.

    Videos
  • Visualizing Connections, Nadieh Bremer at Eyeo 2019
  • TreePlus, Maryland
  • Semantic Substrates and SocialAction, Maryland, InfoVis '06
  • PivotSlice, Toronto & UOIT
  • Social Action, Senator voting patterns, Maryland
  • Vizster, UC Berkeley, InfoVis '05
  • Ploceus, Georgia Tech, VAST '11
  • Graph-level Operations (GLOs), Georgia Tech, InfoVis '14

    Websites
  • Human Diseases, New York Times
  • Live Plasma - music artistis
  • Death and Taxes, U.S. Budget
  • Social Science visualization gallery
  • Social network analysis
  • Force-directed example, Mike Bostock
  • d3-force testing ground, Steve Haroz
  • Naming names in presidential debates, NY Times
  • Circos, circular graph drawing
  • Plastic waste export/import, Financial Times
  • UUUNET North America
  • Where People Run, from citylab.com
  • Transit Maps tumblr
  • London Tube
  • Actual London subway geography
  • Walking lines for the Tube
  • Myths about H. Beck and the Tube map? , A. Cairo
  • Paris Metro map
  • Atlanta MARTA map
  • Game of Thrones transit map
  • GMap - Graphs as Maps, Arizona
  • Marvel Universe interactive, straitstimes.com
  • visualcinnamon.com, Nadieh Bremer's site
  • The flavor connection, from Scientific American
  • Academic fields relations?, R. Hanson
  • Graph drawing tutorial, Brown
  • Graph drawing resources, graphdrawing.org
  • Jung, Java Universal Network/Graph Framework
  • Graph drawing resources, AT&T Labs
  • cola.js, from Monash Univ.
  • Gephi, Open Graph Viz Platform
  • TouchGraph
  • TouchGraph's Google browser
  • Visual Complexity - Graph Visualizations
  • Semantic substrates, Maryland
  • CiteVis, Georgia Tech
  • Vizster, UC Berkeley
  • Social Action, Maryland
  • MatrixExplorer & NodeTrix, INRIA
  • Ploceus, Georgia Tech
  • Graph-level Operations (GLOs), Georgia Tech
  • Planarity - graph layout game
  • Atlas of Cyberspace

    Mar. 25 -- Hierarchies and Trees

    Relevant
  • S. Card and D. Nation, "Degree-of-Interest Trees: A Component of an Attention-Reactive User Interface", Proc. of AVI '02, May 2002, pp. 231-245.
  • B. Johnson and B. Shneiderman, "Tree-maps: A Space Filling Approach to the Visualization of Hierarchical Information Structures", Proc. of Vis '91, Oct. 1991, pp. 284-291.
  • B. Bederson, B. Shneiderman, and M. Wattenberg, Ordered and Quantum Treemaps: Making Effective Use of 2D Space to Display Hierarchies, ACM Trans. on Graphics, Vol. 21, No. 4, Oct. 2002, pp. 833-854.
  • C. Plaisant, et al, "SpaceTree: Design Evolution of a Node Link Tree Browser", Proc. of InfoVis '02, Oct. 2002, pp. 57-64.
  • G. Robertson, S. Card, and J. Mackinlay, "Information Visualization Using 3D Interactive Animation", Communications of the ACM, vol. 36, no. 4, Apr. 1993, pp. 57-71.
  • J. Stasko and E. Zhang, "Focus+Context Display and Navigation Techniques for Enhancing Radial, Space-Filling Hierarchy Visualizations", Proc. of InfoVis '00, Oct. 2000, pp. 57-65.
  • W. Wang, H. Wang, G. Dai, H. Wang, "Visualization of large hierarchical data by circle packing", Proceedings of ACM CHI '06, April 2006, pp. 517-520.

    Videos
  • Information Visualizer, Xerox PARC
  • Hyperbolic Tree, Xerox PARC, CHI '96
  • SpaceTree, Univ. of Maryland, HCIL '02
  • Sunburst from Georgia Tech
  • Sunburst in Tableau tutorial, Super DataScience
  • Custom Tableau Workshop - Sunburst, SAF Business Analytics
  • Zoomology, InfoVis '03, Georgia Tech

    Websites
  • Election 2016, from NY Times
  • Map of the Market knockoff from finviz.com
  • Dynamic layout algorithm comparison applet created by Martin Wattenberg and Ben Bederson
  • Treemaps, Maryland HCIL
  • newsmap
  • Obama's 2012 budget proposal, (in treemap), from NY Times
  • 2012 presidential election, Macrofocus
  • European geography
  • Voronoi treemaps from FoamTree
  • World of Languages (voronoi treemap), visualcapitalist.com
  • Periodic table SunBurst, Wijmo
  • Maze (SunBurst), Uber
  • Radial treemaps in Tableau, Bora Beran
  • World food brands, Oxfam Intl.
  • treevis.net from Hans-Jorg Schulz

    Software
  • SequoiaView file visualizer by Technische Universiteit Eindhoven
  • DaisyDisk, (SunBurst)

    Apr. 1 -- Time Series Data

    Pre Reading
  • NYSI chapter 7
  • Alternative ways for visualizing timelines, Neil Richards

    Relevant
  • W. Aigner, S. Miksch, W. Muller, H. Schumann, C. Tominski, "Visual Methods for Analyzing Time-Oriented Data", IEEE Trans. on Visualization and Computer Graphics, Vol. 14, No. 1, Jan.-Feb. 2008, pp. 47-60.
  • L. Byron & M. Wattenberg, "Stacked Graphs - Geometry & Aesthetics", IEEE Trans. on Visualization and Computer Graphics, Vol. 14, No. 6, Nov.-Dec. 2008, pp. 1245-1252.
  • H. Hochheiser and B. Shneiderman. "Dynamic query tools for time series data sets: Timebox widgets for interactive exploration," Information Visualization, Vol. 3, No. 1, Spring 2004, pp. 1-18.
  • T. Kapler and W. Wright, "GeoTime Information Visualization", Information Visualization, Vol. 4, No. 2, Summer 2005, pp. 136-146.
  • P. McLachlan, T. Munzner, E. Koutsofios, and S. North, "LiveRAC: interactive visual exploration of system management time-series data," Proc. of CHI '08, April 2008, pp. 1483-1492.
  • C. Plaisant, et al, "LifeLines: Visualizing Personal Histories." Proc. of CHI '96, pp 221-227.
  • J. van Wijk and E. van Selow, "Cluster and Calendar based Visualization of Time Series Data", Proc. of InfoVis '99, Oct. 1999, pp. 4-9.

    Videos
  • Lifelines & Lifelines2, Univ. Maryland, CHI '96, CHI '08
  • EventFlow, Univ. of Maryland
  • LiveRAC, UBC, CHI '08

    Websites
  • The TimeViz Browser
  • US elections over time (animation), streamable.com
  • US elections over time (no animation), NY Times
  • Voting Bloc shifts, NY Times
  • Movie character timelines
  • Lego colors by decade, dataisbeautiful
  • Web browser percentage of market
  • Movie receipts over time from NY Times
  • How electricity is produced in each state, NY Times
  • LifeLines, Maryland
  • LifeLines2, Maryland
  • Timeline Storyteller, Microsoft
  • Visual History of Top Golfers, Ben Davis in Tableau Public
  • Visual History of Top Women's Tennis Players, Guardian
  • Impact of Vaccines, WSJ
  • Coronavirus Chart, Financial Times
  • Coronavirus excess death rates, Financial Times
  • History of Pandemics, Visual Capitalist
  • Connected scatterplots example, NY Times
  • In Praise of Connected Scatterplots, Alberto Cairo
  • DimpVis, UOIT
  • Connected scatterplot, Northwestern
  • Animated geographic tracks, 422south
  • Dissecting a film trailer, NY Times
  • When are Babies Born?, Scientific Americian
  • How popular is your birthday, Daily Viz
  • Calendar heatmap view, Mike Bostock
  • Dissecting a Trailer, NY Times
  • Story Curves, N.W. Kim
  • Time Curves, B. Bach
  • Shipping across the world
  • History of Sampling

    Software
  • TimeSearcher, Maryland
  • Simile, time series widgets from MIT

    Apr. 6 -- Evaluation

    Relevant
  • S. Carpendale, "Evaluating Information Visualizations", in Information Visualization: Human-Centered Issues and Perspectives, (Editors: A. Kerren, J. Stasko, J.-D. Fekete, C. North), Springer, 2008, pp. 19-45.
  • H. Lam, E. Bertini, P. Isenberg, C. Plaisant, and S. Carpendale. "Empirical Studies in Information Visualization: Seven Scenarios." IEEE Trans. on Visualization and Computer Graphics, Vol. 18, No. 9, Sept. 2012, pp. 1520-1536.
  • A. Perer and B. Shneiderman, "Integrating statistics and visualization: case studies of gaining clarity during exploratory data analysis", Proc. of ACM CHI '08, April 2008, pp. 265-274.
  • C. Plaisant, "The challenge of information visualization evaluation", Proc. of AVI '04, May 2004, pp. 109-116.
  • G. Robertson, R. Fernandez, D. Fisher, B. Lee, and J. Stasko, "Effectiveness of Animation in Trend Visualization," IEEE Trans. on Visualization and Computer Graphics, Vol. 14, No. 6, Nov.-Dec. 2008, pp. 1325-1332.
  • B. Saket, A. Endert, and J. Stasko, "Beyond Usability and Performance: A Review of User Experience-focused Evaluations in Visualization", Proc. of BELIV 2016, Baltimore, MD, October 2016.
  • P. Saraiya et al, "An Insight-Based Methodology for Evaluating Bioinformatics Visualizations", IEEE Trans. on Vis. and Computer Graphics, Vol. 11, No. 4, Jul/Aug 2005, pp. 443-456.
  • B. Shneiderman, C. Plaisant, "Strategies for evaluating information visualization tools: multi-dimensional in-depth long-term case studies", Proc. of BELIV '06, May 2006, pp. 1-7.
  • J. Stasko, R. Catrambone, M. Guzdial, K. McDonald, "An Evaluation of Space-Filling Information Visualizations for Depicting Hierarchical Structures", International Journal of Human-Computer Studies, Vol. 53, No. 5, Nov. 2000, pp. 663-694.
  • E. Wall, M. Agnihotri, L. Matzen, K. Divis, M. Haass, A. Endert, and J. Stasko, "A Heuristic Approach to Value-Driven Evaluation of Visualizations", IEEE Trans. on Visualization and Computer Graphics, Vol. 25, No. 1, January 2019, pp. 491-500.

    Websites
  • ICE-T Vis Evaluation Methodology

    Apr. 15 -- Data Humanism

    Pre Reading
  • Putting data back into context, by C. D'Ignazio
  • Why Data is Never Raw, by N. Barrowman
  • The Data Are NOT Objective, and Neither Are You, by A. Khoo
  • Data is Personal, by E. Peck
  • Ethical Design Recommendations for COVID-19 Visualizations, by K. Hepworth

    Relevant
  • E. Peck, S. Ayuso, and O. El-Etr. "Data is Personal: Attitudes and Perceptions of Data Visualization in Rural Pennsylvania". Proc. of ACM CHI '19, May 2019, Paper 244, 12 pages.
  • M. Correll, "Ethical Dimensions of Visualization Research", Proc. of ACM CHI '19, May 2019, 13 pages.
  • C. Lee, et al, "Viral Visualizations: How Coronavirus Skeptics Use OrthodoxData Practices to Promote Unorthodox Science Online". Proc. of ACM CHI '21, May 2021, 18 pages.

    Apr. 22 -- Visual Analytics

    Relevant
  • D. Keim, G. Andrienko, J.-D. Fekete, C. Gorg, J. Kohlhammer, and G. Melancon, "Visual Analytics: Definition, Process, and Challenges", in Information Visualization: Human-Centered Issues and Perspectives, (Editors: A. Kerren, J. Stasko, J.-D. Fekete, C. North), Springer, 2008, pp. 1-18.
  • M. Bilgic, L. Licamele, L. Getoord, B. Shneiderman, "D-Dupe: An Interactive Tool for Entity Resolution in Social Networks", Proceedings of IEEE VAST '06, Oct. 2006, pp. 43-50.
  • R. Chang, et al, "Scalable and interactive visual analysis of financial wire transactions for fraud detection", Information Visualization, Vol. 7, No. 1, Spring 2008, pp. 63-76.
  • J. Stasko, C. Gorg, and Z. Liu, "Jigsaw: Supporting Investigative Analysis through Interactive Visualization", Information Visualization, Vol. 7, No. 2, Summer 2008, pp. 118-132.
  • C. Görg, et al, "Combining Computational Analyses and Interactive Visualization for Document Exploration and Sensemaking in Jigsaw", IEEE Trans. on Visualization and Computer Graphics, Vol. 19, No. 10, Oct. 2013, pp. 1646-1663.
  • J. Thomas and K. Cook, Illuminating the Path - The Research and Development Agenda for Visual Analytics, IEEE Press, 2005.
  • P.C. Wong, et al, "Walking the path: a new journey to explore and discover through visual analytics", Information Visualization, Vol. 5, No. 4, Winter 2006, pp. 237-249.
  • W. Wright, D. Schroh, P. Proulx, A. Skaburskis, and B. Cort, "The sandbox for analysis: concepts and evaluation", Proceedings of ACM CHI '06, April 2006, pp. 801-810.

    Websites
  • Visual Analytics Community
  • Visual Analytics in the EU
  • InterAxis, Georgia Tech
  • LineUp, Caleydo
  • Jigsaw, Georgia Tech

    Videos
  • Visual Analytics, VisMaster
  • Precision Information Environments vision video
  • Jigsaw (academic papers), Georgia Tech, TVCG '13
  • Jigsaw (car reviews), Georgia Tech, TVCG '13
  • Sandbox, Oculus/Uncharted, VAST '07 Contest
  • Entity Workspace, PARC
  • Analyst's Workspace, Va Tech, VAST '12
  • IN-SPIRE, PNNL
  • D-Dupe, Maryland, VAST '06
  • WireVis, UNCC, Information Visualization '08
  • Coast Guard Search & Rescue, Overview, Scenario, Purdue, VAST '11
  •  Apr. 27 -- Review

    Class Slides
  • PDF

    Relevant
  • J. Heer, M. Bostock, and V. Ogievetsky, "A Tour through the Visualization Zoo", Communications of the ACM, Vol. 53, No. 6, June 2010, pp. 59-67.

    Additional Papers