3 Jan

1 Introduction (slides)

What is VA and Visualization?

Thinking with data

• Munzner, Chap 1.

• Out: download Tableau (instructions on Tableau for Students) and this dataset for practice
• Out:Vis Journal: create a data selfie
• Due:Skills survey

10 Jan

2 Data and Statistics

Understanding data (slides)

Working with data

Tools: introduction to Tableau (slides)

• Munzner, Chap 2,3.
• King, chap 3. Appendix A
• Tableau User Training
• Download from Canvas for the tutorial:
  • Cereal dataset
  • Walkthrough

• Due: Tableau, Excel installed
• Out: A1: Visualize and analyze these datasets:
  • Titanic
  • Life expectancy
• Form project pairs. Start thinking about your project.

17 Jan

3 Visual Thinking

Perception and Cognition (slides)

Introduction to javascript and d3; importing data (slides)

• Ware: Visual Thinking for design, Chaps 1,4.
• Al Seckels's Ted Talk on visual illusions (video)
• How We See (video)
• How to find data: Slides by SFU Data Librarian Carla Graebner
• Javascript tutorial
  

• Start looking at your project area. Choose an area or problem and define questions. There are some suggestions here.
• Out: A2: working with data. Start collecting your data sets for your project.
• Due Friday, Jan 19: A1
• Remember your vis journal!

24 Jan

4 Visual Encoding

Visual features; data mapping (slide)

Graphics, d3 and visual data mapping

• Munzner, Chap. 5
• Ware, chap. 4
• Murray: D3, Interactive Data Visualization for the Web

• Out: A3, Design
• Due Mon, Jan 22: Concept Review (Canvas)

31 Jan

5 Visualization design 1

Visualization forms (lecture online: slides and audio p1, p2, p3)

Design the vis for the task

• A Tour through the Visualization Zoo. Jeffrey Heer, Michael Bostock, Vadim Ogievetsky. Communications of the ACM, 53(6), pp. 59-67, Jun 2010
• Munzner, Chap 8
• download this dataset for exercise

• Out: A3, Design
• Due Friday, Feb 2: A2
• Vis journal
  

6 Interaction

Interactive Techniques (slides, audio)

Storyboarding visualization

7 Spatial Data

Overview of geovisualization (slides and lecture audio)

wrangling and mapping spatial data: Spatial techniques, maps and geoTutorial in d3

Professor Sara Lubik will speak about the eTech program

• Due: please enter something in your Vis journal related to current affairs
• Concept Review: due Sunday, Feb 25.

8 Project Pitches

presentations of project idea, including:

• data
• questions
• goals/outcomes

• Due in class: Project proposal (see the Project description)
• Vis journal
• Due Sunday, Mar 4: A4, First project vis
• Out: A5, Second project vis
  

9 Visual Analytics 1

Visual analytics (slides)

Exloratory Data Analysis : Top down and bottom up analysis

d3: interaction with multiple views

• Munzner, chap. 11
• sample dataset

• Vis journal

14 Mar

10 multiple views in d3

(slides and lecture audio)

design linked views for your project

d3: generating and manipulating linked views

• Jigsaw overview (video)
• Dave Ebert's talk on Visual Analytics for Global Challenges (video)
• Keim et al. Visual Analytics

• Vis journal

21 Mar

11 Project review

28 Mar

12 Evaluation

Evaluating vis (slides)

design your evaluation plan for your project

• Munzner, chap. 4
• Scholz et al. User-centred evluation of visual analytics. chaps 5-6

4 Apr

13 Different Data

Data Storytelling (slides)

Project open lab

• sigma.js
• gephi tutorial(video)
• Microsoft Azure™ Text Analytics API
• Sorting Algorithms
• and a truly bizarre take on the approach
• Music Visualization
• Stolen Years

• Final concept review on Canvas

12 Apr-

330-630

• presentation details on Canvas

Final project submission on Canvas