Exploratory data analysis + Simple linear regression
lab-01
repo?Go to the GitHub course organization: https://github.com/sta210-fa23
You should see a repo with the prefix lab-01-
followed by your GitHub username
If you do not have this repo
Clickhere to create your lab-01 repo, AND
Go to the course organization and accept the invite in the banner at the top of the page. If you do not see the invite, click here to (re)submit your GitHub username.
Follow along as your TA demonstrates the following:
Configure Git using SSH
Clone repo (using SSH) and start new project in RStudio
Render document and produce PDF
Update name in YAML in the Quarto doc
Render, commit, push changes to GitHub
See updates in your GitHub repo
Add an R code chunk to the Quarto doc
You do not have to finish the lab in class, they will always be due Friday (Tuesday labs) or Sunday (Thursday labs). One work strategy is to get through portions that you think will be most challenging (which initially might be the coding component) during lab when a TA can help you on the spot and leave the narrative writing until later.
Do not pressure each other to finish early (particularly once you start working on teams); use the time wisely to really learn the material and produce a quality report.
Submit the PDF of your responses to Gradescope
You can access Gradescope through Sakai or the course website
Login using your Duke NetID credentials
See Lab 01 instructions for details on submitting an assignment on Gradescope
Today’s lab focuses on exploratory data analysis and simple linear regression. Read the lab instructions carefully.
There are markers throughout suggesting when to render, commit, and push changes to GitHub. These are to help you start using version control in your workflow.
There are points for having a neatly formatted document and implementing a reproducible workflow. See the Workflow & Formatting section in the Lab 01 instructions.