A weekly social data project using the R ecosystem for PhD students (and anyone else that wants to come), run within the School of Biological, Earth & Environmental Sciences (BEES) at UNSW Sydney; adopted from the Tidy-Tuesdays project.
Tuesdays! We meet each week from 3pm-4pm in the Rountree room (Level 3, Biolink).
| Week | Date | Data | Source | Article | Collabrative Document |
|---|---|---|---|---|---|
| 0 | 2020-02-18 |
Food's Carbon Footprint | nu3 | r-tastic by Kasia Kulma |
Week 0 notes |
| 1 | 2020-02-25 |
Measles Vaccination | WSJ | WSJ | Week 1 notes |
| 2 | 2020-03-03 |
NHL Goals | HockeyReference.com | Washington Post | Week 2 notes |
| 3 | 2020-03-10 |
College Tuition, Diversity, and Pay | TuitionTracker.org | TuitionTracker.org | Week 3 notes |
Tidy Tuesdays aims to create a safe and supportive learning environment for PhD students in BEES to:
- enhance their data analysis and visualisation skills
- learn and recieve feedback from others
- discover other's work
- get to know other PhD students in the school
While we can answer easy statistics questions, the best place to get advice on stats is from Stats Central.
Same goes for IT problems. We can try to help, but UNSW IT is where you should direct most of the more technical questions.
For now we are focussing on only the R ecosystem, so we will not be working in other programming languages.
For each meeting, we get a interesting raw dataset, and invite you to explore the data. The dataset often may be 'messy', so we will get you to apply various data wrangling techniques within the R ecosystem to make the data 'tidy'!
Bring your laptop and make sure the R software and the development environment RStudio are installed on your computer.
All PhD students within the School of Biological, Earth & Environmental Sciences (BEES) are encouraged to join, however all are welcome. No prior programming knowledge required, we invite everyone to join!
If you have any questions, please let us know during the session, or add an "Issue" to this page.
- Helpful Resources - Our curated list of helpful R resources
- Facilitator Page - Information for the facilitator