Assignment 3: Sketching & Storytelling
Based on your project research questions, in this assignment, you need to sketch (with only pen and paper) 3 visualizations to clearly communicate this question or help other people to explore the data according to your questions.
Part 1: Design Workshop
As we said in class, the best way to come up with a good idea is to have lots of them, and narrow them down. Your task in this assignment is to brainstorm many designs and then use some basic criteria to filter and select the best ideas. You will then hand in a polished version of the final designs that you chose.
The goal of this exercise is to show you that if you have an open mind, your first idea is (unlikely) to be your best idea. Instead, the process of brainstorming, discussing, and affinity diagramming can help you find good ideas that you had not considered before.
- Based on the research question, start by brainstorming within your group and designing static visualizations that you think effectively answer the question. The goal here is to sketch as many distinct ideas as you can -- you should aim for at least four sketches a person.
Anything goes: crazy or boring, the whole system or even just a small piece of the system. You are aiming here for variance: the ideas should be different from one another. You are allowed to build off of one another's ideas, but make sure that they're different. If you end up with a bunch of sketches that are essentially variations on the exact same idea, try again, because you didn't do it right.
- Discussion. This can be part of your brainstorming session or a different one altogether. As a group, go through each of the sketches one by one, discussing the main idea of the sketch. Group your sketches or the ideas extracted from the sketches. At the end of this, you will have several different groups of ideas. Discuss each of these groups in relation to your project, their weaknesses, strengths, feasibility, and originality.
- Select and polish ideas. From your discussion session, select the most promising ideas and discuss them.
- Go through all the sketches one by one within your group and discuss the main idea of each sketch. Group your sketches or the ideas extracted from the sketches. At the end of this, you will have several different groups of ideas. Discuss each of these groups in relation to your project, their weaknesses, strengths, feasibility, and originality.
- From the discussion session, select and polish the most promising ideas. Then, Re-sketch your most promising ideas each neatly on a piece of paper and provide a short writeup describing your process and design decisions.
Your final sketches should be self-contain. People who are not familiar with your dataset should be able to understand them from the sketches alone. Please don't forget to include enough description for viewers to understand the context of your dataset and your tasks.
Final Sketch
For your final sketch you can follow the following structure:
Here is an example from previous classes:
And another one:
Submission for Part 1
What to submit
- Take pictures or scan your entire sketch(es). Please make sure that the quality of the sketch is readable. The file name should be formatted as "[Team Name]_final_sketch.pdf".
- Type all the text in your sketch in a separate Word document. The file name should be formatted as "[Team Name]_text.pdf".
- Also take pictures of all of your drafts sketches during the brainstorming session. The file name should be formatted as "[Team Name]_brainstrom.pdf".
- Do not include any team name or person's name on the final sketches and texts.
How to submit:
Put the work into a single zip file called "A3_[Your team name].zip". Submit the file in this DropBox folder.
When to submit:
Assignment 3 is due before March 2, 2022, 23:59.
Part 2: Evaluation
In this part, we will use the peer-review to criticize the visualization sketches from every team. You will take part in grading and, most importantly, provide feedback on your classmates' projects.
What to expect
- Each student will receive an e-mail from instructors to review two random projects.
- For each project, fill your evaluation in this Google Form. The form includes the grading criteria below and some write-ups to provide feedback to your classmates' project.
- Deadline: March 9, 2022, 23:59
Grading
|
Component
|
Excellent
|
Satisfactory
|
Poor
|
|---|
|
Mark, Encoding, and Data Transforms
|
All design choices are effective. The visualization can be read and understood effortlessly.
|
Design choices are largely effective, but minor errors hinder comprehension.
|
Ineffective mark, encoding, or data transformation choices are distracting or potentially misleading.
|
|
Titles & Labels
|
Titles and labels helpfully describe and contextualize the visualization.
|
Most necessary titles and labels are present, but they could provide more context.
|
Many titles or labels are missing, or do not provide human-understandable information.
|
|
Design Rationale
|
Well crafted write-up provides reasoned justification for all design choices.
|
Most design decisions are described, but rationale could be explained at a greater level of detail.
|
Missing or incomplete. Several design choices.
|
|
Creativity & Originality
|
You exceeded the parameters of the assignment, with original insights or a particularly engaging design.
|
You met all the parameters of the assignment.
|
You met most of the parameters of the assignment.
|
Points for this assignment
30 points (15 points from the instructors, 10 points from peer-review, and 5 points for the quality of your review)
Acknowledgment: The assignment is created based on Visual Analytics course by Petra Isenberg and Interactive Data Visualization course by Arvind Satyanarayan.
