(1) Syllabus Overview
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- The Visual Display of Quantitative Information(2nd Edition), E. Tufte. Graphics Press(2001)
- Envisioning Information, E. Tufte(2005)
- Visual Thinking for Design, Colin Ware, Morgan Kaufman(2008)
- Interactive Data Visualization for the Web(2nd Edition), Scott Murray, O’Reilly(2017)
- Visualization Analysis and Design, Tamara Munzner, CRC Press(2014)
- The Functional Art, Alberto Cairo, New Riders(2012)
- Design for Information, Isabel Meirelles, Rockport(2013)
Websites
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Articles
Websites
Podcasts
- Data Stories by Moritz Stefaner and Enrico Bertini
Tools
A variety of useful toolkits have been designed to help support information visualization applications. Some include support for the full visualization pipeline from data to interactive graphics, while others focus only on a subset, typically graphics and interaction.
Visualization Toolkits
- D3- A JavaScript library for data-driven DOM manipulation, interaction and animation. Includes utilities for visualization techniques and SVG generation.
- Vega- A declarative language for representing visualizations. Vega will parse a visualization specification to produce a JavaScript-based visualization, using either HTML Canvas or SVG rendering. Vega is particularly useful for creating programs that produce visualizations as output.
- Vega-Lite- A high-level visualization grammar that compiles concise specifications to full Vega specifications.
- Processing or p5.js- A popular Java-like graphics and interaction language and IDE. Processing has a strong user community with many examples. p5.js is a sister project for JavaScript.
- Leaflet– a popular open-source mapping library
- Tableau for Students- get a free Tableau license as a student
- Tableau Public- a free version of Tableau which publishes to the web
- Voyager and Polestar– web-based data exploration tools from UW's Interactive Data Lab
- Lyra- an interactive visualization design environment
- GGplot2- a graphics language for R
- GGobi- classic system for visualizations of multivariate data
- Gephi- an interactive graph analysis application
- NodeXL- a graph analysis plug-in for Excel
- GUESS- a combined visual/scripting interface for graph analysis
- Pajek- another popular network analysis tool
- NetworkX- graph analysis library for PythonSNAP- graph analysis library for C++
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- SNAP- graph analysis library for C++
(7) Calendar
Content week by week or module calendar. See examples below:
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Week 1 | Tuesday 28.3 | Wednesday 29.3 | Thursday 30.3 | Friday 31.3 |
|---|
Morning | Kickoff
09.30-11.00
Introduction about the module, Presentation of the topic, Note on Documentation
JB 11.00-12.00
Ethnographic study
NF | Field Research | Independent Study
11.00-12.00
Exercise: Idea
Generation
JB
| Field Research / Independent Study
|
Afternoon | 13.00-13.45
Brainstorming session
NF 13.45-14.15
Exercise: group building
JB 14.15-14.45
Renting Equipment
NF 14.45-15.30
Get prepared for Field Research
NF 15.30-
Initial Field Research | 13.00-14.00
Group presentations:
First Impressions
JB, NF 14.00-15.00
Sense Making (AEIO)
NF 15.00-
Independent Study
| 13.00-15.00
Mentoring: Sense Making and Clustering (Going Back to the Field)
NF 15.00-
Field Research | 13.00-15.00
Group presentations: Inspirations and Field Research
JB, NF
|
Week 2 | Tuesday 4.4 | Wednesday 5.4 | Thursday 6.4 | Friday 7.4 |
|---|
Morning | 09.30-11.30
Theory Class - IAD Method
JB
| 09.30-12.00
Mentoring: Narrowing
Down
NF | Independent Study
| Independent Study:
Preparation of presentation |
Afternoon | 13.00-13.15
Expectations for the week
JB 13.15-15.30
Exercise: Very rapid prototyping
JB 15.30-16.00
Group Presentations: mock-ups
JB, NF | Independent Study:
Desk-based Research
(Related work,
state of the art) | Independent Study
| 13.00-15.00
Group presentations: Related Work and Production Plan for the next 4 weeks
JB, NF |
Week 3 | Tuesday 11.4 | Wednesday 12.4 | Thursday 13.4 | Friday 14.4 |
|---|
Morning | 09.30-11.30
Theory Class - IAD Method
JB 11.30-12.30
Mentoring: Protyping
JB | Independent Study
| 09.30-12.00
Mentoring
JB | Holiday |
Afternoon
| 13.00-15.00
Exercise: Prototyping Ideas
JB 15.00-
Independent Study | Independent Study
| 13.00-15.00
Group presentations: Prototypes
JB
|
Week 4 | Tuesday 18.4 | Wednesday 19.4 | Thursday 20.4 | Friday 21.4 |
|---|
Morning | 09.30-12.00
Mentoring: Storytelling
JB | Independent Study | Independent Study | 09.30-12.00
Group presentations:
Storytelling
NF |
Afternoon
| 13.00-15.00
Exercise: Storytelling
JB | 13.00-16.00
Mentoring
JB
| Independent Study | 13.00-16.00
Mentoring: Storyboards
NF
|
Week 5 | Tuesday 25.4 | Wednesday 26.4 | Thursday 27.4 | Friday 28.4 |
|---|
| Reading Week | Reading Week
Mentoring: Video production (optional)
NF | Reading Week | Reading Week |
|
Week 6 | Tuesday 2.5 | Wednesday 3.5 | Thursday 4.5 | Friday 5.5 |
|---|
Morning | 09.30-12.00
Group presentations:
Back from the reading week
JB, NF
| 09.30-12.00
Mentoring
JB | 09.30-12.00
Mentoring: Editing
NF | 09.30-12.00
Final Group presentations
JB, NF |
Afternoon | 13.00-16.00
Mentoring: Editing
NF | Independent Study | Independent Study |
|
JB: Joëlle Bitton, NF: Nicole Foesterl