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Data handling using pandas and Data visualization

Authored by KALPANA CHODAVARAPU

Computers

12th Grade

Used 172+ times

Data handling using pandas and Data visualization
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20 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Data Frame in pandas is

a) 1 dimensional array

b) 2 dimensional array

c) 3 dimensional array

d) None of the above

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following takes a dict of dicts or a dict of array-like sequences and returns a DataFrame?

a) DataFrame.from_items

b) DataFrame.from_records

c) DataFrame.from_dict

d) All of the mentioned

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

This function in the library of Pandas allows you to manipulate data and create new variables:

a) read_csv function

b) Pivot_table function

c) apply function

d) merge function

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

______________ function returns current date and time.

a) SET DATEFIRST

b) SYSDATETIME

c) Cert_ID

d) GETDATE

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In a SELECT with a GROUP BY clause, a WHERE clause, and a HAVING clause, the WHERE conditions are applied before the HAVING conditions.

a) True

b) False

c) Either True or False

d) None of the above

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

We apply the aggregate function to a group of sets of tuples using the _______ clause.

a) group by

b) group

c) group set

d) group attribute

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the output of the following program?

squares = {1:1, 2:4, 3:9, 4:16, 5:25}

print(squares.pop(4))

print(squares)

16

{1: 1, 2: 4, 3: 9, 5: 25}

16

{1: 1, 2: 4, 3: 9, 4:16, 5: 25}

4

{1: 1, 2: 4, 3: 9, 5: 25}

4

{1: 1, 2: 4, 3: 9, 4:16, 5: 25}

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