This article provides you the answers for Week 1 Assignment of NPTEL Data Science for Engineers. The answers provided here are for free and all are verified with solutions. If any change in the answers, please join in the telegram link provided below.
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NPTEL Data Science for Engineers Week 1 Assignment 2025
The week 1 Assignment had been released and the last date of submission of the assignment is February 05, 2025.
Come with us and solve the fruitful questions,
Q2. The function ls() in R will
Q1. Which of the following variable names are INVALID in R?
a. 1_variable
b. variable_1
c. _variable
d. variable@
Answer: [ a ], [ c ], [ d ]
a. set a new working directory path
b. list all objects in our working environment
c. display the path to our working directory
d. None of the above
Answer: [ b ] list all objects in our working environment
Consider the following code snippet. Based on this, answer questions 3 and 4.
ID = c (1,2,3,4)Patient_name = c ( "Ram", "Shyam", "Nandini", "Maya" )num.patient = 4patient_list = list ( num.patient, ID, Patient_name ) {codeBox}
Q3. Which of the following command is used to access the value “Shyam” ?
a. print(patient_list[3][2])
b. print(patient_list[[3]][1])
c. print(patient_list[[3]][2])
d. print(patient_list[[2]][2])
Answer: [ C ] print(patient_list[[3]][2])
Q4. What does the following R code produce?
x <- c ("apple", "banana", "cherry" )x [2] {codeBox}
a. “apple”
b. “banana”
c. “cherry”
d. Error
Answer: [ B ] Banana
Q5. What is the output of following code?
x <- 10 + 5%%3typeof (x) {codeBox}
a. double
b. integer
c. list
d. None of the above
Answer: [ a ] double
State whether the given statement is True or False.
Q6. The library reshape2 is based around two key functions named melt and cast.
a. True
b. False
Answer: [ a ] True
Q7. What does the following R code return?
x <- c ( 5,10,15,20 )
y <- x [ x > 10 ]
y {codeBox}
a. 5, 10, 15, 20
b. 15, 20
c. 10, 15, 20
d. Error
Answer: [ B ] 15, 20
Q8. What is the output of the following R code?
x <- 1while ( x <= 3 ) {print ( x )x <- x+1} {codeBox}
a. 1, 2, 3
b. 0, 1, 2
c. 1, 2, 3, 4
d. Error
Answer: [ a ] 1,2,3
Create the data frame using the code given below and answer questions 8 and 9.
student_data = data.frame(student_id=c(1:4),student_name=c(‘Ram’,‘Harish’,‘Pradeep’,‘Rajesh’))
Q9. Choose the correct command to add a column named student_dept to the dataframe student_data.
a. student_datastudent_dept=c(“Commerce”, “Biology”, “English”, “Tamil”)
b. student_data[“student_dept”]= c(“Commerce”,“Biology”, “English”,“Tamil”)
c. student_dept= student_data[c(“Commerce”,“Biology”,“English”,“Tamil”)]
d. None of the above
Answer: [ a ] [ b ]
student_datastudent_dept=c(“Commerce”, “Biology”, “English”, “Tamil”)
student_data[“student_dept”]= c(“Commerce”,“Biology”, “English”,“Tamil”)
Q10. Choose the correct command to access the element Tamil in the dataframe student_data.
a. student_data[[4]]
b. student_data[[4]][3]
c. student_data[[3]][4]
d. None of the above
Answer: [ C ] student_data[[3]][4]
Q11. The command to check if a value is of numeric data type is ______.
a. typeof()
b. is.numeric()
c. as.numeric()
d. None of the above
Answer: [ B ] is.numeric()
Q12. What will the following R code return?
mat <- matrix ( 1:9, nrow=3, ncol=3, byrow=TRUE )mat [2,3] {codeBox}
a. 6
b. 5
c. 9
d. Error
Answer: [ a ] 6
Q13. What is the result of the following R code?
mat 1<- matrix ( 1:6, nrow=2, ncol=3)
mat 2<- matrix ( 7:12, nrow=2, ncol=3)
result <- mat1 + mat2
result {codeBox }
a. [1] 8 10 12
[2] 14 16 18
b. [1] 8 10 12 14 16 18
c. [1] 8 9 10 11 12 13
d. Error
Answer:
Conclusion
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