Quiz on Introduction to R

true

Q1. What are R’s three most basic data types? List all three and provide an example for each data type. Type your answer below.

Hint: Go to DataCamp Course: Introduction to R for Finance. Watch the videos in Ch1: The Basics.

The three most basic data types are numeric data (ex. 42, 54), character data (ex. “hello world”, “forty”), and logicals (ex. TRUE, FALSE).

Q2. What are R’s five most common types of objects? Type your answer below.

Hint: Go to DataCamp Course: Introduction to R for Finance. Chapter names are common types of R objects.

R’s five most common types of objects are vectors, matrices, data frames, factors, and lists.

Q3. Compare vectors and matrices. What are similarities and differences? Type your answer below.

Hint: Go to DataCamp Course: Introduction to R for Finance. Watch the videos in Ch2: Vectors and Matrices in.

A vector is a collection of data that are all the same type. A matrix is a 2D vector, it gives an extension to a vector to have columns and rows. In both vectors and matrices, you can only have one type of data.

Q4. Compare matrices and data frames. What are similarities and differences? Type your answer below.

Hint: Go to DataCamp Course: Introduction to R for Finance. Watch the videos in Ch3: Data Frames.

Data frames are used to store a data table. A data frame has a similar look to a matrix with columns and rows, but in a data frame you can have multiple data types in a single data frame. With a data frame you could have a name in one column and a price in another, whereas with a matrix you can only have one data type.

Q5. Create your first data frame.

##   company cash_flow year
## 1       A      1000    1
## 2       A      4000    3
## 3       A       550    4
## 4       B      1500    1
## 5       B      1100    2
## 6       B       750    4
## 7       B      6000    5