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Announcement: Dataviz Workshop for Spring 2014

I'm very excited to preview the syllabus of a new dataviz course I've been developing to be launched in Spring 2014. This course is focused on the craft of graph building, and is modeled after the writing workshop. Students will work through multiple drafts of a project while giving and receiving criticism from other students. To my knowledge, this is a one-of-a-kind course so I'm putting up the syllabus and will report on how it goes over in a few months. I hope the format will prove successful and others will offer graph building workshops in the years to come. I'm open to suggestions about the syllabus.

The course is offered as part of the brand-new Certificate in Analytics and Data Visualization at New York University. The announcement of the Certificate is here.

You can sign up for the course here. Please spread the word!

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NEW YORK UNIVERSITY
CERTIFICATE IN ANALYTICS AND DATA VISUALIZATION

COURSE TITLE: The Art of Data Visualization (DATA1-CE9002)

FEB/MAR 2014, Saturday mornings

Woolworth Bldg, NYC

Instructor: Kaiser Fung

COURSE DESCRIPTION

Data visualization is storytelling in a graphical medium. The format of this course is inspired by the workshops used extensively to train budding writers, in which you gain knowledge by doing and redoing, by offering and receiving critique, and above all, by learning from each another. Present your project while other students offer critique and suggestions for improvement. The course offers immersion into the creative process, the discipline of sketching and revising, and the practical use of tools. You will develop a discriminating eye for good visualizations. Readings on aspects of the craft are assigned throughout the term. For students in the Certificate of Analytics and Data Visualization, the course offers a chance to demonstrate mastery of the integrated approach combining the perspectives of statistical graphics, graphical design, and information visualization.

LEARNING OUTCOMES

  • Give constructive critique on other people’s data visualization
  • Listen and respond to critique from others on one’s own data visualization
  • Evaluate alternative visualization of the same data
  • Refine and improve drafts of data visualization projects
  • Interpret data visualization with an integrated lens combining the perspectives of statistical graphics, graphic design, and information visualization
  • Create at least one piece of work that can be included in one’s portfolio

PREREQUISITES

This is not a beginner’s class. You should have prior experience making data graphics for an audience, and feel comfortable offering critique of other’s work. For students in the Certificate of Analytics and Data Visualization, appropriate preparation includes these courses: Introduction to Analytics and Data Visualization, Statistical Foundations of Analytics and Data Visualization, Applied Data Management for Analytics and Data Visualization, and Designing Data: Infographics. Because of these prerequisites, you may execute designs in your preferred set of tools, such as Excel, Adobe Illustrator, R, Processing, Tableau, and JMP.

READING

Required Textbooks:

      Edward Tufte. The Visual Display of Quantitative Information (Graphics Press)

      Julia Steele and Noah Illinsky (eds.). Beautiful Visualization: Looking at Data Through the Eyes of Experts (O’Reilly, 2010)

      Don Norman. The Design of Everyday Things: Revised and Expanded Edition. (Basic Books, 2013)

Required Course Readings:

Kosara, Robert. "Visualization criticism-the missing link between information visualization and art." In Information Visualization, 2007. IV'07. 11th International Conference, pp. 631-636.

Kosara, Robert, “What is Visualization? A Definition”, blog post, July 2008. http://eagereyes.org/criticism/definition-of-visualization

Kirk, Andy, “Walking the tightrope of visualization criticism: the balance, fairness and realism of our visualization criticism must improve”, blog post, July 2012. http://strata.oreilly.com/2012/07/visualization-criticism.html

Kosara, Robert, “A Criticism of Visualization Criticism Criticism”, blog post, July 2012. http://eagereyes.rog/criticism/criticism-visualization-criticism-criticism. The above three references form a dialogue.

Gelman, Andrew, and Antony Unwin, “Infovis and Statistical Graphics: Different Goals, Different Looks”, Journal of Computational and Graphical Statistics 22(1): pp.2-28.

Gelman, Andrew, and Antony Unwin, “Tradeoffs in Information Graphics”, Journal of Computational and Graphical Statistics 22(1), 2013: pp. 45-49. This is a rejoinder to the discussion of the previous article.

Mitchell, Ian. "AUThoRiTy oR CLiChé? the graphic language of information Design." research, education and design experiences (2012).

Rhyne, Theresa-Marie, “Does the Difference Between Information and Scientific Visualization Really Matter?” IEEE Computer Graphics and Applications 23(3): 6-8.

North, Chris, “Toward Measuring Visualization Insight”, IEEE Computer Graphics and Applications, May/June 2006, pp. 6-9.

Heer, Jeffrey, et. al., “A Tour Through the Visualization Zoo”, Communications of the ACM 53(6): June 2010, pp. 59-67.

Optional but recommended:

Other Ed Tufte books

Any book by Howard Wainer (Visual Revelations, Graphic Discovery, etc.)

Van Wijk, Jarke J., “Views on Visualization”, IEEE Transactions on Visualization and Computer Graphics 12(4): July/August 2006, pp. 421-432.

Zangwill, Nick, "Aesthetic Judgment", The Stanford Encyclopedia of Philosophy (Summer 2013 Edition), Edward N. Zalta (ed.). http://plato.stanford.edu/entries/aesthetic-judgment/

Websites: There are a lot of blogs showcasing visualization projects. (List of blogs to be added)

EVALUATION

Class attendance: 30%

Ontime submission of drafts: 20%

Ontime submission of written critiques: 20%

Class Participation: 20%

Final Project Grade: 10%

SCHEDULE

First Two Classes

Course Philosophy

  • Graph building as an artform
  • Graph building as story-telling
  • Visualization criticism
  • The workshop method

           Student questionnaire

Introductions

           Make assignments and schedules

           Guest speaker talks about real-world graphics design process

The State of Visualization Criticism: review several blogs

Criticism frameworks, e.g. Junk Charts Trifecta Checkup           

           Examples of Visualization Criticism

           ***

            In-class discussion: (based on required reading, may shift to future classes depending on time)

  • What is beauty?
  • Novelty, and standards
  • How should visualization be measured?
  • What are insights?
  • What works fall under the data visualization label?
  • What can graphics designers learn from Norman's approach to product design?

            Ground rules for workshop

Final Four Sessions

During the course, each student will hand in two drafts of a graphic, the second of which should take into account prior criticism. The class will be divided into two groups, and projects will be workshopped in alternate weeks. It is crucial that projects are submitted on time so that your classmates have time to prepare considered criticism.

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Please leave comments below.

You can sign up for the course here.

Please spread the word!

Comments

Darren

This sounds awesome! If I read the website correctly, this course is only offered onsite at NYU. Do you have any plans to expand into online courses?

Kaiser

Darren: The school wants to offer an online version of the Certificate. I have to see how this class goes and then figure out how to offer it online. I'm taking suggestions for how to make this course work online given that in-class discussion is so central.

Lea SP

I would be very interested in an online version as well. In the meantime, will this course be offered again / ongoing? Spring doesn't work but would hate to miss out. Thanks!

Kaiser

Lea: The course is planned for every term although I can't promise that I'll be teaching it each time.

Brandon

Hi Kaiser,

I will be attending your class at NYU this Saturday. I was curious if we need to bring the 3 books required to class?

Thanks,
Brandon

Kaiser

Hi Brandon, bring them if you'd like to refer to quotes or examples from the book. You can probably get away with bringing some written notes. See you!

Shaam

Hi Kaiser, Your website says the course is on Saturdays during Feb/Mar 2015. However, the link to the NYU page says the course is from April-May 2015 and it is an online course. I am a freelance consultant in data visualization and am looking for ways to improve my skills and practice on the subject. I would love to attend a workshop style course. I need to make travel plans, but would like to get some more clarity on the schedule. Thanks - Shaam

junkcharts

Shamm, for Spring 2015, the workshop is held in NYC on Tuesday nights 6:30-9ish. Thanks for the interest.

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