🗓️ Week 06 - Writing Data & Combining Data Frames, Combining Data Practice I
This week covers writing data out to files, splitting and combining data frames, and a first pass at combining datasets in practice with dplyr. Your mid-quarter report (written) is due Tuesday.
| Date | Time | Format | Topic | Project Milestone |
|---|---|---|---|---|
| Thu, Oct 29 | 1:30-3:05 pm | Lecture | Writing Data, Splitting and Combining DFs | |
| Tue, Nov 3 | 9:50-10:55 am | DS | Practice: Writing Data, Splitting and Combining DFs | |
| Tue, Nov 3 | 1:30-3:05 pm | Lecture | Combining data practice I | Mid-quarter report due (written) |
Solve the Tuesday-morning DS on your own without generative AI and upload your PDFs to Canvas (printing is optional). Both discussion checks this week happen on laptops: Thursday opens with the DS 5 check and Tuesday afternoon with the DS 6 check. You swap laptops with a classmate, explain what you did, discuss the differences, and agree on the hardest topic, or one you didn’t understand. Bring your laptop, charged, to both.
🤖 AI & Learning This Week
AI status this week: No AI for the DS. Project mid-quarter report: AI allowed with disclosure.
Why: Joins and reshapes are where AI-written code most often runs without an error and quietly gives the wrong answer (dropped rows, duplicated keys).
This week:
- Verification habit: check row counts before and after every join or filter, and be able to say why they changed.
- Tuesday lecture: a short audit of an AI-written merge that runs cleanly and quietly duplicates rows.
- Your mid-quarter report needs an “AI use” section (template in the project guidelines) and, if you work in a pair, a contribution statement.
- Next week: a mandatory 5-minute individual check-in on your report. Find your time in the check-in schedule posted on Ed Discussion.
See the AI Use Policy for the full rules.
👨🏫 Lecture Slides
- Thu, Oct 29 (Lecture): Writing Data, Splitting and Combining DFs · dataset:
sites.csv - Tue, Nov 3 (DS): DS 6: Writing Data + dplyr I
- Tue, Nov 3 (Lecture): DS 6 Check + Combining Data Practice I · datasets:
survey_wave2.csv,buildings.csv
💻 Hands-on: Intro to R
Lessons 12 and 13 are the DS.
See the Final Project Guidelines for project deliverable details.