Due: 28 January, 11:00 pm

Weight: This assignment is worth 4% of your final grade.

Purpose: The purpose of this assignment is to refresh your skills from P4A and learn some new skills for plotting with the ggplot2 library in R.

Skills & Knowledge: After completing these exercises, you should be able to:

Assessment: This assignment is graded for completion. Credit will be allocated in proportion to the percentage of the assignment completed by the due date. No more than 2 late days can be used on any one assignment.


  1. Read: Open up a notebook (physical, digital…whatever you take notes in best), and take notes while you go through the readings for this week.

  2. Exercises: Take notes while you complete the following DataCamp exercises:

    • Complete the entire Introduction to Data Visualization with ggplot2 course. You should go through all four lessons in the course. This is mostly a refresher, but you’ll also learn some new content.
    • Complete Lesson 3: Facets from the DataCamp course “Intermediate Data Visualization with ggplot2” (you don’t need to complete the other lessons in the course).
  3. Report: When you have completed all of the above exercises, go to the “Assignment Submission” page on Blackboard and write three things from your notes that you learned while going through these readings and exercises.

EMSE 4197 (CRN 78916): Exploratory Data Analysis - Spring 2020
George Washington University | School of Engineering & Applied Science
Dr. John Paul Helveston | jph@gwu.edu | Wednesdays | 12:45–3:15 PM | District House B205 | |
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