Data Analytics with R Programming Time: 10.30am to 01.00pm — Summer 2021

Do as Directed. 1. In 1991, Rwas developed at the Department of Statistics at the University of _________. 2. In normal distribution, _______ function is used to find CDF. 3. ____________ package is used for Decision Tree. 4. m<-matrix(c(1:6), 3, 2) then t(m) = __________. 5. __________ function is used to watch for all available packages in library. 6. Function used for linear regression in Ris __________. 7. In abline(a, b) function, b represents ___________ of a line.

What is data analytics? Explain its types.

List the packages and functions used to read a data such as Csv Files, XML File, Web data, JSON File, Excel File. Explain with code snippet.

What is vector? How it can be created in R? Vector classified into how many parts. Explain How we can access the elements of a vector with the help of vector indexing.

What is data frame? Explain with example.

List out various Graphs available in R. Explain Histogram, Boxplot and Pie Chart in details.

What is Object? How to convert one object form to another object form? Explain with Example.

What is list? How to create and access elements of list with different ways. Explain it.

Explain the rules of variable assignment in Rwith example. Write commands for creating data frame “Students” which includes fields Name, address, Course and M_number.

What is regression? Write the difference between linear, multiple, and logistic regression.

Write a note on Descriptive Analytics in detail.

What is the difference between Decision tree and Random Forest? Explain random forest with example.

Explain time series analysis with example.

Explain supervised, Unsupervised and reinforcement in detail.

Explain various control structure in Rwith example.

Explain dnorm(), pnorm(), qnorm() and rnorm() with suitable example.

Write an Rscript that will receive Nnumbers and calculate mean, standard deviation, minimum and maximum. Also Plot bar chart of input numbers.