Learning Objectives
Following this assignment students should be able to:
- Better hone their skills in Collaboration
- Apply fundamental aspects of
dplyrandggplotto a variety of data sets.- Write documentation that is readily understandable to peers
- Effectively use Issues on GitHub.
Reading
Lecture Notes
Be sure to review Week 4 and Week 5 material to re-familiarize yourself with dplyr and ggplot. No new reading or lecture material.
Exercises
Canvas Quiz
Exercise 1
A few weeks ago you submitted a data set and associated question(s). Create a Github repository as we did this week with the inside of the class organization named “lastname-wordrelatedtodata”. Include a script that reads in data locally or from url. In the Readme file describe the dataset and primary question you have regarding it.
Exercise 2
In the Readme file for your new repo, write the a general plan on how you might begin to tackle the question and explore the data. This should be very general (not code).
Exercise 3
Using the Issues feature in GitHub, create an issue where you suggest something interesting to explore in your classmates repositories.
Exercise 4
In the repository you created, begin to tackle the question you posed. Minimally you should create a modified data table / object and at least one figure summarizes the data or directly addresses your question.
Exercise 5
In at least 3 other repositories created this week make a suggested R code edit that generates a) summary information of the given data set and b) a new plot or revision to current plot. Please do this as an Issue.
Exercise 6 Optional
At any time you have a question on how you might go about accomplishing a task in R create a new Issue in the given repository.