- Assessment of student skills, levels, and interests
- What do you want to learn in this class?
- What sorts of data/information graphics work have you done previously?
- Any coding experience?
- Stats?
- Introduction to course goals and expectations
- Intro talk
- Select Presentation topics
- Exercise: Catalog & Classify
- Create and publish a new post with your visualization type as its title. Assign it the tag “Catalog” in the gear menu.
- Describe your chosen visualization type in terms of the kinds of values it represents (e.g., fractions, integers, percentages, etc.) and the sorts of comparisons it enables or discourages.
- Explain what forms of ‘pre-processing’ need to occur between the raw data and the ink/pixels in the resultant chart.
- Explain the ‘mapping’ by which numerical/categorical/etc values are converted into positions, sizes, colors, textures, etc.
- Include 3 images apiece to demonstrate ‘good’ and ‘bad’ uses of this visualization type.
- Consult the Markdown Guide to help you format your text & images.
Assignment
- Refine your Catalog entry based on the class discussion and see if you can find additional examples (with an emphasis on the ‘good’ uses of the form).
- Read the first chapter of Graphesis. For every reading assignment, you will be expected to post a short (250–500 word) write-up summarizing what you took to be the ‘message’ of the piece, what you agreed or disagreed with, and what you’d be curious to hear your peers’ opinions about.
- for this week's reading, you have an additional responsibility: pick one of the works cited in the chapter to investigate and collect some imagery and/or context. Include this in your write-up.
- Be sure to add the tag "R1" to your post by clicking on the gear icon at the top of the screen.
- Next week we'll have an in-class programming workshop. In preparation for that, please make sure you've got the following installed/set-up:
