These are Data Science for Engineers Week 1 Assignment Nptel Answers
Q1. Which of the following variable names are INVALID in R? 1_variable variable_1 _variable variable@
Answer: 1_variable, variable@
Q2.The function ls () in R will set a new working directory path list all objects in our working environment display the path to our working directory None of the above
Answer: list all objects in our working environment
These are Data Science for Engineers Week 1 Assignment Nptel Answers
Q3.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”) 12345670 num.patient = 4 patient_list = list(num.patient, ID, Patient_name)
Which of the following command is used to access the value “Shyam”? print(patient_list[3][2]) print(patient_list[[3]][1]) print(patient_list[[3]][2]) print(patient_list[[2]][2])
Answer: C)print(patient_list[[3]][2])
Q4.The output of the code given below is for (i in patient_list[1]){ for (jin i){ print(j) } }
These are Data Science for Engineers Week 1 Assignment Nptel Answers
Q7. What is the output of following code? A = matrix(c(9:1), 3, 3) print(A[3, 2]) 6 4 2 8
Answer: 6
Q8. 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’)) Choose the correct command to add a column named student dept to the dataframe student data. student_datastudent dept=c(“Commerce”, “Biology”, “English”, “Tamil”) student_data[“student dept”]= c(“Commerce”,“Biology”, “English”,“Tamil”) student_dept= student data[c(“Commerce”,“Biology”,“English”,“Tamil”)] None of the above
These are Data Science for Engineers Week 1 Assignment Nptel Answers
Q9. Choose the correct command to access the element Tamil in the dataframe student_data. student_data[[4]] student_data[[4]][3] student_data[[3]][4] None of the above
Answer: None of the above
Q10. The command to check if a value is of numeric data type is __. typeof() is.numeric() as.numeric() None of the above
