README.md

Class Activity 1

Data Manipulation

In this repository you will find data describing Swirl activity from the class so far this semester. Please connect RStudio to this repository.

Instructions

1. Open a new R Markdown file, please write and run all your commands from within the R Markdown document
2. Delete the contents of the Markdown file and insert a new code block
3. Load the libraries tidyr and dplyr
4. Create a data frame from the swirl-data.csv file called DF1

The variables are:

course_name - the name of the R course the student attempted
lesson_name - the lesson name
question_number - the question number attempted correct - whether the question was answered correctly
attempt - how many times the student attempted the question
skipped - whether the student skipped the question
datetime - the date and time the student attempted the question
hash - anonymyzed student ID

5. Create a new data frame that only includes the variables hash, lesson_name and attempt called DF2

6. Use the group_by function to create a data frame that sums all the attempts for each hash by each lesson_name called DF3

7. On a scrap piece of paper draw what you think DF3 would look like if all the lesson names were column names

8. Convert DF3 to this format

9. Create a new data frame from DF1 called DF4 that only includes the variables hash, lesson_name and correct

10. Convert the correct variable so that TRUE is coded as the number 1 and FALSE is coded as 0

11. Create a new data frame called DF5 that provides a mean score for each student on each course

12. Extra credit Convert the datetime variable into month-day-year format and create a new data frame (DF6) that shows the average correct for each day