Week 3 - Wrangling and tidying data
Data wrangling, joining, and tidying 🔧
Unsorted seashells. Photo by Jeremy Zero on Unsplash
Tasks
- Watch the videos
- Complete the readings
- Complete the assignments
Videos
You can access the course videos on YouTube. You can also find a playlists for all course videos on YouTube here.
No. |
Title |
YouTube |
Slides |
Length |
|
|---|---|---|---|---|---|
| 01 | Tidy data | 6:46 | |||
| 02 | Grammar of data wrangling | 13:13 | |||
| 03 | Working with a single data frame | 32:15 | |||
| 04 | Working with multiple data frames | 17:26 | |||
| 05 | Tidying data | 20:14 |
Class Activities
Activity |
Title |
Date |
|---|---|---|
| Review | Tidying, Wrangling, and Joins | Tue, 1 Feb |
| Lab 3 | Nobel laureates | Thu, 3 Feb |
Assignments
Assignment |
Title |
Due |
|---|---|---|
| Due this week | ||
| Lab 02 | Plastic waste | Wed, 2 Feb, 23:59 EST |
| HW 02 | Airbnb Listings Edinburgh | Fri, 4 Feb, 23:59 EST |
| Q 02 | Data wrangling | Sun, 6 Feb, 23:59 EST |
| Due next week | ||
| Lab 03 | Nobel laureates | Wed, 9 Feb, 23:59 EST |
| HW 03 | Road Traffic Accidents | Fri, 11 Feb, 23:59 EST |
| Q 03 | Data wrangling and visualization | Sun, 13 Feb, 23:59 EST |
If you’re having difficulty accessing your HW or Lab repo, see troubleshooting advice here.
Readings
| 📖 | R4DS::Chp 4 - Workflow: basics | Required |
| 📖 | R4DS::Chp 5 - Data transformation | Required |
| 📖 | IMS::Chp 4-5 - Exploratory Data Analysis (If you haven’t read it last week!) | Required |
Code-along
The data come from TidyTuesday. TidyTuesday is a weekly social data project for the R community. Read more about TidyTuesday here.
You can find starter code for this session on RStudio Cloud, in the project titled Code Along 01 - Himalayan Climbers. We will be continuing where we left off last week.
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, we strongly recommend you work through the second tutorial as well.
| Road Traffic Accidents | Related to HW 03 |
| Work with data | Extra practice |
