Data Manipulation MCQ part-2

Que.Which of the following is a trait of tidy data?
a. each variable in one column
b. each observation in different row
c. one table for each kind of variable
d. none of the mentioned
Que.Which of the following package is used for tidy data?
a. tidyr
b. souryr
c. NumPy
d. all of the mentioned
Que.Point out the wrong statement.
a. Tidy datasets are all alike but every messy dataset is messy in its own way
b. Most statistical datasets are data frames made up of rows and columns
c. Tidy datasets provide a standardized way to link the structure of a dataset with its semantics
d. None of the mentioned
Que.Which of the following process involves structuring datasets to facilitate analysis?
a. Data tidying
b. Data mining
c. Data booting
d. All of the mentioned
Que.Strange binary file generated from machines is an example of tidy data.
a. True
b. False
c. May be True or False
d. Can’t say
Que.Which of the following is the most common problem with messy data?
a. Column headers are values
b. Variables are stored in both rows and columns
c. A single observational unit is stored in multiple tables
d. All of the mentioned
Que.tidyr is a reframing of _______ designed to accompany the tidy data framework.
a. reshape5
b. dplyr
c. reshape2
d. all of the mentioned
Que.Raw data in the real-world is tidy and properly formatted.
a. True
b. False
c. May be True or False
d. Can’t say
Que.Which of the following function is used for loading flat files?
a. read.data
b. read.sheet
c. read.table
d. none of the mentioned
Que.Point out the correct statement.
a. XLConnect package has more options for manipulating access files
b. XLConnect vignette package can also be used for manipulating excel files
c. write.xlsx write out an excel file with different argument
d. None of the mentioned

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