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# BA02 Advanced Analytics Using R Assignment 1

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Subject Code: BA02

Subject Name:

USING R

Component name:

ASSIGNMENT1

Question 1:- Which of the following commands is used to quit an active R session? a) >q()

b) >|s()

c) >rm()

d) >c()

Question 2:- There are two datasets, Sample1 and Sample2. Sample1 has 1 2 3 4 5 stored in it and Sample2 has 6

7 8 9 stored in it. Which of the following is the correct command to combine the data of Sample2 after the data of Sample1?

a) > data3 =c(data1, data2)

b) > data3 =c(data2, data1)

c) > data3 =c(data1,data2)

d) > data3 =c(data2,data1)

Question 3:- Which of the following functions is used in R to remove the existing data objects? a) >|s()

b) >rm()

c) >c()

d) >q()

Question 4:- Which of the following commands is used to check the current working directory? a) > setwd()

b) > getwd() )

c) > fetchwd()

d) > created()

Question 5:- A programmer wishes to use the scan() command for entering the following text in a dataset in R: 2, 3, 4, 5, 6.7, 7, 8.1, 9 Which of the following is the correct syntax to create a dataset, data4, containing the above data?

a) > data4 = scan (2, 3, 4, 5, 6.7, 7, 8.1, 9)

b) > data4 = scan(sep = ,) 2, 3, 4, 5, 6.7, 7, 8.1, 9

c) > data4 = scan(sep = ‘,’) 2, 3, 4, 5, 6.7, 7, 8.1, 9

d) > data4 = scan(sep = 2,3,4,5,6.7,7,8.1,9)

Question 6:- What is logistic regression?

a) A supply chain algorithm

b) Supply chain business process

/

Test analytics algorithm

Data mining algorithm

Question 7:- There are two datasets, Sample1 and Sample2. Sample1 has 1 2 3 4 5 stored in it and Sample2 has 6 7 8 9 stored in it. What would be the correct command to combine the data of data1 and data2 in a manner that the resultant dataset has entries in the following form? 6 7 1 2 3 4 5 8 9

>data3 =c(6, 7, data1, 8, 9)

>data3 =c(data1, data2)

>data3 =c(data2, data1)

>data3 =c(6, 7, 8, 9, data1

Question 8:- Which of the following statements is correct for R as a tool?

R cannot connect with other languages.

R does not support extensions.

R is more object oriented than many other analytic tool sets.

R is not compatible with multiple formats.

Question 9:- A nuclear plant needs to be highly secure so that unauthorized individuals do not gain access. What kind of Big Data analysis can be used to achieve this?

Basic reporting

Data mining of large amounts of historical data

Regression analysis

Analysis of real-time streaming data

Question 10:- Which of the following is the correct format for entering text as data by using the scan() command?

> scan(character)

> scan(what = ‘character’)

> scan(what = character)

> Scan(what =”character”)

Question 11:- Which of the following needs streaming data?

Analysis of population growth over the last 10 years

Patterns of cyber attacks over the last 1 week

Exit poll analysis

Weather patterns for the last 10

Question 12:- Jacob, the financial manager, wants to collect data from different associates in different formats. He wants to collate the data and prepare reports in various formats including PDF and Excel files. Which of the following tools should Jacob use?

SPSS

SAS

Tableau

Any of the above

Question 13:- Which of the following functions is used to create vectors? Which of the following functions is used to create vectors? Which of the following functions is used to create vectors?

>q()

>|s()

>rm()

>c()

Question 14:- Log Book System wants to achieve microsegmentation of its customer data. Which of the following techniques/technologies should it use?

Merging customer transaction information with unstructured data

General statistical analysis

Only text analysis

Question 15:- An online retailer wants to implement the Next Best Action using Big Data. Which of the following is not a part of Next Best Action?

Sophisticated machine learning tools

Integration and analysis of large volume of unstructured data

Conducting a customer survey

Delivering the right offer so that it is most likely to be accepted by the customer

Question 16:- You are creating a decision tree for evaluating the customer attrition rate for a mobile manufacturing company on certain attributes. Which of the following facts must you consider while creating the tree so that the resultant tree provides the most effective result?

The modification of a single variable, if it is located near the top of the tree, will not modify the whole tree.

The definition of the nodes at level n + 1 is not dependent on the definition at level n.

The choice of a division for a node at a certain level of the tree is never revised subsequently. A decision tree can be developed in the forward or backward selection approach.

Question 17:- Bob is performing text analytics by using the RHadoop platform. Which of the following R’s packages will help him to perform text mining?

rmr rhbase

rJava

tm

Question 18:- You are performing text mining in RHadoop. The name of the dataset that you are using to store content is dataset1. To access the first line of the content, which of the following commands will you use?

> dataset1 [[1]]

> dataset1 [1]

> dataset1 (1)

> dataset1

Question 19:- Smith is performing text mining in RHadoop. Which of the following commands should he use to take multiple inputs from different sources?

DistributedCorpus source input

d) Corpus

Question 20:- Suppose you create a function and want to load it in the workspace by sourcing the script containing the function. Which of the following R commands is used to look up the functions that are present in the workspace? a) >ls()

b) >lookup()

c) >search()

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