Instructions: Activity 04 - Data Wrangling

Instructions

• Task prompts are in italics in the .Rmd file
• Edit the R Notebook in your GitHub Repository and add your answers
• submit the completed R Notebook as .NB.HTML to Canvas before deadline

Tips

• always "PULL" before you do anything when collaborating on a project controlled by GitHub to make sure you are working with the latest code (otherwise you'll have problems)
• always "PUSH" when you're done so your collaborators can pull the latest version of the code.
• always write descriptive commit messages
• Make sure you run all code chunks in your R Notebook before you "preview" the HTML document.
• Make sure the .NB.HTML document that you submit to Canvas has rendered properly--the header in your .Rmd file needs to specify the output as html_notebook for an R Notebook (NOT html_document)
• When plotting, you can use the mplot or esquisser function to create the plot in your console. You should then copy the ggplot code and paste it into your Rmd document. There should not be mplot or esquisser in anything you turn in.

Grading

• Assignment is worth a total of 15 points
• [1 points] Task 1: Data description
• [2 points] Task 2: Basic summaries
• [4 points] Task 3: Group summaries
• [2 points] Task 4: Data Visualization
  • 1 point for including a useful plot with at least 3 variables represented in ggplot code.
  • 1 point for including comments
  • (-0.5) points if mplot or esquisser is included in the submission.
• [1 point] Changes pushed to GitHub with atleaset 3 commits.