Exam Details
Subject | data analytics with r | |
Paper | ||
Exam / Course | mca(integrated) | |
Department | ||
Organization | Gujarat Technological University | |
Position | ||
Exam Date | November, 2018 | |
City, State | gujarat, ahmedabad |
Question Paper
1
Seat No.: Enrolment
GUJARAT TECHNOLOGICAL UNIVERSITY
MCA INTEGRATED SEMESTER VIII• EXAMINATION WINTER 2018
Subject Code: 4480602 Date:19/11/2018
Subject Name: Data Analytics with R
Time: 2:30 PM TO 5:00 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
Do as directed:
Which function is used to merge two data frames?
Which package is required to work with JSON file?
True/false: Arithmetic operations are possible with matrix.
Differentiate: Break and Next statement.
Full Form: OOB.
Define List.
Which function is used to create the relationship model between the predictor and response variable?
07
Explain classification of data in detail.
07
Q.2
Explain R data types in detail with suitable example.
07
Explain how to assign, find and deleting variables in detail with suitable example.
07
OR
Explain types of operators in detail with suitable example.
07
Q.3
Explain String Manipulation functions in detail with suitable example.
07
Explain Histograms and box plot using suitable example.
07
OR
Q.3
Write a script to read data from Excel file and display in R workspace.
07
Explain Pie chart in detail with all its arguments using suitable example.
07
Q.4
Write a script to retrieve all the data from table, updating rows in the table and inserting data into the table in MySql database.
07
Explain qnorm() and rnorm() with suitable example.
07
OR
Q.4
Explain time series analysis with suitable example.
07
Write a script to create the data frame, get structure of it, shows summary of the data and extract data from data frame.
07
Q.5
Explain Linear and Multiple regressions using suitable example.
07
How to create data for analytics through active learning?
07
OR
Q.5
How to create data for analytics through designed experiments?
07
Explain Survival Analysis with example.
07
Seat No.: Enrolment
GUJARAT TECHNOLOGICAL UNIVERSITY
MCA INTEGRATED SEMESTER VIII• EXAMINATION WINTER 2018
Subject Code: 4480602 Date:19/11/2018
Subject Name: Data Analytics with R
Time: 2:30 PM TO 5:00 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
Do as directed:
Which function is used to merge two data frames?
Which package is required to work with JSON file?
True/false: Arithmetic operations are possible with matrix.
Differentiate: Break and Next statement.
Full Form: OOB.
Define List.
Which function is used to create the relationship model between the predictor and response variable?
07
Explain classification of data in detail.
07
Q.2
Explain R data types in detail with suitable example.
07
Explain how to assign, find and deleting variables in detail with suitable example.
07
OR
Explain types of operators in detail with suitable example.
07
Q.3
Explain String Manipulation functions in detail with suitable example.
07
Explain Histograms and box plot using suitable example.
07
OR
Q.3
Write a script to read data from Excel file and display in R workspace.
07
Explain Pie chart in detail with all its arguments using suitable example.
07
Q.4
Write a script to retrieve all the data from table, updating rows in the table and inserting data into the table in MySql database.
07
Explain qnorm() and rnorm() with suitable example.
07
OR
Q.4
Explain time series analysis with suitable example.
07
Write a script to create the data frame, get structure of it, shows summary of the data and extract data from data frame.
07
Q.5
Explain Linear and Multiple regressions using suitable example.
07
How to create data for analytics through active learning?
07
OR
Q.5
How to create data for analytics through designed experiments?
07
Explain Survival Analysis with example.
07
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Subjects
- advanced c programming (adv – c)
- advanced python
- basic mathematics for it
- big data
- c++ with class libraries (cpp)
- communication skills - ii
- communication skills-1
- cyber security and forensics (csf)
- data analytics with r
- data structure
- database management systems
- discrete mathematics for computer science (dmcs)
- environmental studies
- fundamentals of computer
- fundamentals of database management systems
- fundamentals of networking
- fundamentals of programming – i
- fundamentals of web
- information security
- java programming
- machine learning
- management information systems (mis)
- mobile programming
- network security
- operating system
- operations research
- python (py)
- software engineering
- software testing
- statistical methods
- uml & object oriented modeling
- web development tools