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Seat No.: Enrolment
GUJARAT TECHNOLOGICAL UNIVERSITY
MCA Integrated SEMESTER-VIII EXAMINATION SUMMER-2019
Subject Code:4480602 Date: 04-05-2019
Subject Name: Data Analytics with R Programming Time: 10.30 am to 1.00 pm Total Marks: 70
Instructions:
1. Attempt all questions.
2. Make suitable assumptions wherever necessary.
3. Figures to the right indicate full marks.
Q.1

Answer the following questions.
Give the use of operator in R.
ii) Give the function name to delete a variable in R iii) Why library() function is used?
iv) What is the use function?
Which package is required to install to read and write XML file?
vi) "In R it is possible to find out square root of a negative number." This statement is true or false? Justify your answer.
vii) What is scatter plot?
07

What is Give features of R.
07
Q.2

Give the difference between Bar chart and Histogram.
07

What is list? Create a list which contains one vector having 5 numbers and one
matrix of size 2x3. Give names to the list elements "Vector" and "Matrix".
Print the list. Convert list to vector.
07
OR

Explain the rules of variable assignment in R with example. Write commands
for creating data frame "Employee" which includes fields Name, Age, Salary,
City and also display name and salary.
07
Q.3

Explain pie( function with all parameters. Explain legend of chart with
example.
07

Explain generating regular sequence and missing values in details.
07
OR
Q.3

Explain following functions.
cbind( rm
ii) plot( vi) assign
iii) setwd vii) det
iv) objects(
07

Explain data type in detail with example.
07
Q.4

List the packages used to read a data such as Csv Files, XML File, Web data, JSON File, Excel File. Explain in brief.
07

What is high level and low level graphics in
07
OR
Q.4

Explain connecting and executing various query of database though R with necessary package and functions. Assume table structure of your choice.
07

What is Graph? Explain graphical elements in detail
07
Q.5

What is Binomial Distribution? Explain functions used to execute Binomial Distribution with example.
07

Explain Decision Tree and Random Forest with necessary package and functions.
07
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OR
Q.5

What is Regression? Explain single and multiple regressions in R using mtcars data set having mpg, cyl, disp, hp, wt and gear fields.
07

What is Prescriptive Analytics? Explain data creation for analytics through active learning.
07