Week 12 · 29 Nov

Fill out course evaluations Presentations Patrick on Muriel Cooper Joe on Mike Bostock Reading #7: The Anti-Sublime Ideal in New Media Examine progress on your Final »

Week 11 · 15 Nov

Final Project: Proposals review Meet in small groups to choose between your candidate project proposals Assignment Develop three conceptually different visual/UI approaches for your chosen »

Reading #7

The Anti-Sublime Ideal in New Media by Lev Manovich [Visualizations] carry the promise of rendering phenomena that are beyond the scale of human senses into something »

Week 10 · 8 Nov

Presentations Doug on Wattenberg & Viégas Rik on Edward Tufte Discuss results of your Final Project idea generation & data collection Reading #6 from Software Takes »

Final Project

Writing a Project Proposal The goal of the final project is to bring the conceptual dimension of the class together with the visualization techniques we’ve »

Week 9 · 1 Nov

Excercise #4: Mapping Space Group crit of your projects Assignment Come up with ten potential directions for your final project and find candidate datasets for five »

Reading #6

Software Takes Command by Lev Manovich What motivated developers in the 1960s and 1970s to create the concepts and techniques that now underlie contemporary applications like »

Exercise 4

Mapping Space Preliminaries We’ll be using the leaflet.js library to add a geospatial component to your prior work on visualizing the USGS earthquake feed »

Week 7 · 18 October

Excercise #3: Textual and Qualitative Data Group crit of your projects Assignment Incorporate feedback and continue refining your work on Exercise #3 Presentations by Ryan & »

Reading #5

Subtleties of Color by Robert Simmon The use of color to display data is a solved problem, right? Just pick a palette from a drop-down menu »

Exercise 3

Textual and Qualitative Data: A Festival Schedule (DOM + CSS) Preliminaries Install Homebrew as a means to installing node.js on your system. After installing Homebrew, you »

Week 6 · 11 October

Presentations Colleen on Richard Saul Wurman Samia on Stamen Reading #4 on the various types of ‘badness’ in data visualization Begin Excercise #3: Textual and Qualitative »

Week 5 · 4 October

Excercise #2: Mapping Quantities Group crit of your projects Assignment Presentations by Samia & Colleen Reading #4: three essays on 'badness' in information graphics Post your »

Reading #4

Profiles in Badness from Kieran Healy, Carl Bergstrom, & Jevin West Read Healy's introductory chapter from Data Visualization for Social Science: - Look at Data: What »

Exercise 2

Mapping Quantities, Categories, and Summarized Data Preliminaries Pull the most recent changes into your clone or fork of http://github.com/samizdatco/dvia-2017 For this assignment, »

Week 4 · 27 Sept

Presentations Aucher on Oliver Byrne Michael on Ben Fry & Fathom Reading #2 and #3 from Graphesis Begin Excercise #2: Mapping Quantities Assignment Complete Exercise 2 »

Reading #3

Graphesis by Johanna Drucker Read the final chapters: - Interface & Interpretation - Designing Graphic Interpretation Use the tag “R3” when you post your assessment of »

Exercise 1

Mapping Time Preliminaries Gather all the necessary software and files to get started: The Sublime Text 3 editor The GitHub Desktop GUI client Clone a copy »

Reading #2

Graphesis by Johanna Drucker Read the second chapter: Interpreting Visualization (and vice versa). Use the tag “R2” when you post your assessment of the text’s »

Week 2 · 6 September

Presentations Nic on Jacques Bertin Flávio on Giorgia Lupi & Accurat.it Conclude our Catalog & Classify discussion Reading #1 from Graphesis: “Image, Interpretation, and Interface” »

Reading #1

Graphesis by Johanna Drucker Read the frontmatter and first chapter: Image, Interpretation, and Interface. Also consult the relevant 'plates' in the Windows section. Pick one of »

Course Reading List

REQUIRED READING Drucker, Johanna. Graphesis: Visual Forms of Knowledge Production. Cambridge, MA: Harvard University Press, 2014. Tufte, Edward. Envisioning Information. Cheshire, CT: Graphics Press, 1990. RECOMMENDED »

Research Presentations

Each student will select a data visualization person, topic, theme, technology, etc. to thoroughly research and report on for the rest of the class. You will »


This is a seminal course on information design and aesthetics. Students will study graphical theory, graph grammar, and investigate hierarchies, patterns, and relationships in data structures. »