← CSC 477 Scientific and Information Visualization

Assignment 3 Revisions

You will have received feedback on Assignment 3 from me and your peers about any or all of: your research question(s), the data you chose to represent, the visual encodings and scales that you employed, effective or ineffective use of multiple views, effective use of titles, subtitles or other chart elements to communicate your chart’s message, and your notebook’s overall presentation.

In this assignment, you’ll make revisions to your submission based on that feedback.

Overview

Revisions are due in a few days, so this is a quick turnaround!

The goal is to engage with feedback, not to redesign your visualisation. In-scope revisions include changes to encodings, scales, colour, annotations, titles, data transforms, and multiple views based on feedback. Out-of-scope would be adding new views, switching to a new research question, or adding/removing a different dataset.

You’ll make changes in your existing Assignment 3 notebook.

A few things to keep in mind:

Deliverable

A text entry in Canvas containing:

  1. The URL to your notebook (yes, again; this is for my convenience so I can quickly get to the notebook to see updates).
  2. A list describing the changes you made (or chose not to make)—one entry per feedback item.

This submission doesn’t have to be super long. I ask for the list of revisions because I won’t do a full re-grade—I will scan your list and look for the changes in the notebook quickly.

Realistically, I’m expecting most people to have addressed 2–4 items of moderate-to-tremendous importance. Don’t feel the need to pad the list with items!

Here’s a suggested structure for each item:

Feedback: what the feedback was
Change: what you did in the notebook, and where to find it

Or, if you chose not to make the change:

Feedback: …
Justification: why you disagreed

Grading

Revisions can only help your Assignment 3 score, they cannot lower it. Meaningful engagement with the feedback you received will reflect in your updated grade.

Volume of changes is not the same thing: a handful of well-targeted revisions to important issues will earn more credit than many small edits that leave the core problems intact.

Be aware too that revisions can introduce new problems (e.g., a new encoding that obscures the message you were going for), which can reduce the net improvement.