Week 3 - Wrangling data
Data wrangling and tidying 🔧
Unsorted seashells. Photo by Jeremy Zero on Unsplash
Tasks
- Read Lab 3: Nobel Laureates before Friday.
- Complete the readings
- Complete the assignments
- Fill out the project topic preference form on google classroom
Topic Intro
No. |
Title |
Slides |
|
|---|---|---|---|
| 01 | Tidy data | ||
| 02 | Grammar of data wrangling | ||
| 03 | Working with a single data frame |
Class Activities
Activity |
Title |
Date |
|---|---|---|
| Topic Intro | Tidy Data | Tue, 1 Oct |
| Topic Intro | Working with a single dataframe | Wed, 2 Oct |
| Lab 3 | Nobel laureates | Fri, 26 Jan |
Assignments
Assignment |
Title |
Due |
|---|---|---|
| Due this week | ||
| Lab 02 | Plastic waste | Thu, 3 Oct, 23:59 EST |
| HW 02 | Airbnb Listings Edinburgh | Fri, 4 Oct, 23:59 EST |
| Q 02 | Data wrangling | Sun, 6 Oct, 23:59 EST |
| Due next week | ||
| Lab 03 | Nobel laureates | Thu, 10 Oct, 23:59 EST |
| HW 03 | Road Traffic Accidents | Fri, 11 Oct, 23:59 EST |
| Q 03 | Data wrangling and visualization | Sun, 13 Oct, 23:59 EST |
If you’re having difficulty accessing your HW or Lab repo, see troubleshooting advice here.
Readings
| đź“– | R4DS::Chp 4 - Workflow: basics | Required |
| đź“Ś | Debugging Tip: Ask Debugging Questions by Julia Evans | Optional |
| 📌 | The Open Data Institute’s Data Ethics Canvas | Optional |
Interactive R tutorials
The following are interactive R tutorials, designed to give you more practice with R. These are optional, but the “Road Traffic Accidents” dataset show up in your next homework assignment as well, so you might want to go through that one so that you can gain familiarity with it. If you’re struggling with any of the topics covered this week, I strongly recommend you work through the second tutorial as well.
| Road Traffic Accidents | Related to HW 03 |
