🗓️ Week 04 - Graphics with ggplot2, Project Proposals

Author

We move into visual analytics with ggplot2: building a plot layer by layer, and saying why a plot type suits a question. Tuesday afternoon starts with the DS 3 discussion check (moved from Thursday), then the project proposals (oral presentations): every group presents, and there is no new material. Vectorization moves to Week 5.

Date	Time	Format	Topic	Project Milestone
Thu, Oct 15	1:30-3:05 pm	Lecture	Graphics with ggplot2
Tue, Oct 20	9:50-10:55 am	DS	Practice: Graphics with ggplot2
Tue, Oct 20	1:30-3:05 pm	Presentations	DS 3 discussion check + project proposal presentations	Proposal due (oral)

Solve the Tuesday-morning DS on your own without generative AI, print your solutions as a PDF, and bring the printout to next Thursday’s lecture. There we discuss it on paper, pencil in hand, and each DS includes a 1-point discussion check: be ready to explain any line of your solution or predict its output without running it.

🤖 AI & Learning This Week

AI status this week: No AI for the DS and in-class work. The proposal is oral and AI-free, but you may use AI to help explore your ideas beforehand, and you disclose it on your last slide.

Why: The proposal is about your question and your plan, and you will be asked about them.

This week:

Proposal (Tuesday, Oct 20): each partner answers questions, no screens or AI. Upload your slides to Canvas as one PDF by 1:00 pm. See the project guidelines.
For ggplot2, practice saying why: for each figure, one sentence on why this plot type suits this question.

See the AI Use Policy for the full rules.

👨‍🏫 Lecture Slides

Thu, Oct 15 (Lecture): Graphics with ggplot2
Tue, Oct 20 (DS): DS 4: Graphics with ggplot2
Tue, Oct 20 (Presentations): DS 3 Check + Project Proposals

💻 Hands-on: Intro to R

Lesson 8: Creating Publication-Quality Graphics with ggplot2: geoms, layers, mapped vs. fixed properties, scales, facets. This is the DS.

See the Final Project Guidelines for project deliverable details.