Question 1

  1. Create an object called pitt_wvu, store the number 107 in it, and then print it.
  2. Create an object called backyard_brawl, store “Pitt”, “vs.” and “WVU” in it, and then print it.
  3. Create an object called sweet_caroline, store the phrase “LET’S GO PITT!” in it, and then print it.
pitt_wvu <- 107
print(pitt_wvu)
## [1] 107
backyard_brawl <- c("Pitt", "vs.", "WVU")
print(backyard_brawl)
## [1] "Pitt" "vs."  "WVU"
sweet_caroline <- "LET'S GO PITT!"
print(sweet_caroline) 
## [1] "LET'S GO PITT!"

Question 2

Use the function read.csv() to read the CSV file harry_potter.csv and use the assignment operator <- to store the data in an object.

harry_potter <- read.csv("harry_potter.csv")

Question 3

  1. Use the function head() to view the first few observations of the dataset.
  2. Please substantively interpret the SECOND observation in the dataset.
head(harry_potter)
##                 name age      house student
## 1       Harry Potter  44 Gryffindor       1
## 2   Hermione Granger  45 Gryffindor       1
## 3        Ron Weasley  44 Gryffindor       1
## 4       Draco Malfoy  44  Slytherin       1
## 5 Minerva McGonagall  99 Gryffindor       0
## 6     Cedric Diggory  47 Hufflepuff       1

The second observation describes Hermione Granger, who is 45 years old, in Gryffindor, and is a student.

Question 4

  1. How many observations and variables are in the dataset? Use the function dim().
  2. Identify the type of each variable in the dataset.
dim(harry_potter)
## [1] 17  4

There are 17 observations and 4 variables.

The first variable, the name, is non-binary character variable. The second variable, age, is a non-binary numerical variable. The third variable, house type, is a non-binary character variable. The fourth variable, student, is a binary numeric value.