Due: September 24, 2018 @ 11:59pm
First-time RStudio Server setup
Important! Follow all the directions in the repository linked below before starting work on this mini-assignment.
Obtain the GitHub repository you will use to complete the mini-assignment, which contains a starter file named visualization_mini-assignment.Rmd. The demos and exercises you will be completing are written inside visualization_mini-assignment.Rmd, complete them within the indicated spaces. You should knit your file to the HTML format to check how it looks. When you’re done, save your file, commit, push (upload) it to GitHub, and follow the How to submit section below to setup a Pull Request, which will be used for feedback.
How to submit
When you are ready to submit, be sure to save, commit, and push your final result so that everything is synchronized to GitHub. To lock in your submission time, knit your R Markdown document to HTML, download the file from RStudio Server, and upload it to the R Markdown mini-assignment posting on Blackboard.
You are to also open a Pull Request on GitHub so that comments can be directly left on your R Markdown source files. After uploading to Blackboard, navigate to your copy of the GitHub repository you used for this assignment. You should see your repository, along with the updated files that you synchronized to GitHub. Do the following:
Click the Pull Requests tab near the top of the page.
Click the green button that says “New pull request”.
Click the dropdown menu button labeled “base:”, and select the option grading.
Confirm that the dropdown menu button labled “compare:” is set to master.
Click the green button that says “Create pull request”.
Give the pull request the following title: Submission: Visualization mini-assignment, FirstName LastName, replacing FirstName and LastName with your actual first and last name.
In the messagebox, write My submission is ready for grading @jkglasbrenner.
Click “Create pull request” to lock in your submission.
You are encouraged to review and keep the following cheatsheets handy while working on this assignment: