Due: 16 November by 11:00 pm
Weight: This assignment is worth 4% of your final grade.
Purpose, Skills, & Knowledge: The purposes of this assignment are:
- To practice creating data frames in R.
- To practice merging and slicing data frames in R.
Assessment: Each question indicates the % of the assignment grade, summing to 100%. The credit for each question will be assigned as follows:
- 0% for not attempting a response.
- 50% for attempting the question but with major errors.
- 75% for attempting the question but with minor errors.
- 100% for correctly answering the question.
Rules:
- Problems marked SOLO may not be worked on with other classmates, though you may consult instructors for help.
- For problems marked COLLABORATIVE, you may work in groups of up to 3 students who are in this course this semester. You may not split up the work – everyone must work on every problem. And you may not simply copy any code but rather truly work together.
- Even though you work collaboratively, you still must submit your own solutions.
Download and use this template for your assignment. Inside the “hw9” folder, open and edit the R script called “hw9.R” and fill out your name, GW Net ID, and the names of anyone you worked with on this assignment.
Write R code to install the dslabs package from CRAN, then write code to load the library. Write some code to preview and inspect the movielens data frame that gets loaded when you load the library using some of the techniques we saw in class. For each of the following questions, write code to find your answer and leave a detailed response in a comment:
For each of the following questions, write code to find your answer and leave a detailed response in a comment:
title (in terms of numbers of letters in the title)?Write R code to read in the prisoners2019.csv file located in the data folder. Store the object as df. Write some code to preview and inspect the df data frame using some of the techniques we saw in class. For each of the following questions, write code to find your answer and leave a detailed response in a comment:
For each of the following questions, write code to find your answer and leave a detailed response in a comment:
Create a zip file of all the files in your R project folder for this assignment and submit the zip file on Blackboard (note: to receive full credit, your submission must follow the above format of using a correctly-named R Project and .R script).