Page 6 - IPP-12-2025

17. Fill in the blank. [1]
To check data types of columns in a DataFrame, attribute is used.
(a) shape (b) size
(c) ndim (d) dtypes
Ans. (d) dtypes
18. Which of the following plots is best used to visualize the distribution of a single numeric variable? [1]
(a) Line plot (b) Bar chart
(c) Histogram (d) Horizontal bar chart
Ans. (c) Histogram
19. Bluetooth is an example of which of the following network types? [1]
(a) WAN (b) PAN
(c) MAN (d) LAN
Ans. (b) PAN
Questions 20 and 21 are Assertion and Reasoning Based Questions. Mark the correct choice as:

(a) Both Assertion (A) and Reason (R) are true and R is the correct explanation for A.
(b) Both Assertion (A) and Reason (R) are true but R is not the correct explanation for A.
(c) Assertion (A) is true but Reason (R) is false.
(d) Assertion (A) is false but Reason (R) is true.

20. Assertion (A): SQL can be used to insert records.
Reasoning (R): SQL INSERT command updates existing records.
Ans. (c) Assertion (A) is true but Reason (R) is false.
21. Assertion (A): The values attribute of a Pandas Series returns ndarray of the Series data values.

Reasoning (R): The index attribute of a Series provides the labels associated with each value.
Ans. (b) Both Assertion (A) and Reason (R) are true but R is not the correct explanation for A.

SECTION B (7 x 2 = 14 Marks)
22. State any two features of Pandas library. [2]
Or
What is the difference between Series and DataFrame in Pandas?

Ans. Two features of Pandas library are as follows:
a. It can read or write in many different formats (integer, float, double, etc.).
b. It supports visualization by integrating libraries such as Matplotlib, Seaborn, etc.
Or

Series DataFrame
(a) It is a one-dimensional data structure (a) DataFrame is a two-dimensional data structure
storing elements of homogeneous data. storing heterogeneous data.
(b) Series() method is used to create a series. (b) DataFrame() method is used to create a
dataframe.
(c) Its size is immutable and data is mutable (c) Its size and values are mutable in nature.
in nature.
(d) import pandas as pd (d) import pandas as pd
S= pd. Series() df = pd. DataFrame()
print(S) print(df)

Model Test Paper M.3