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5. List any five functions of Seaborn library with their descriptions.
6. What is a bar graph, and what type of data is it best suited for?
7. List any four importance of data visualization.
8. State the situations in which a scatter plot will be suitable.

9. Write an example to create a bar graph in Python.
10. How can you handle the missing data in Excel?

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C. Competency-based questions: HOTS Century #Interdisciplinary
Skills
1. A small company maintains sales data in Excel, but the manager notices some product names are in all caps,
some in lowercase, and some in mixed case. Explain how you would clean this data using Excel tools.

2. While working with a dataset, you find that the same student’s data is repeated twice due to a copy-paste error.
What steps would you take in Excel to identify and remove this duplication?
Assertion and Reasoning Questions:

Direction: Direction: Questions 3-4, consist of two statements – Assertion (A) and Reasoning (R). Answer these
questions by selecting the appropriate option given below:
a. Both A and R are true and R is the correct explanation of A.
b. Both A and R are true but R is not the correct explanation of A.

c. A is true but R is false.
d. A is false but R is true.
3. Assertion (A): Removing duplicate data is an important step in data cleaning.
Reasoning (R): Duplicate data can lead to inaccurate visualizations and analysis.
4. Assertion (A): Dimensionality of data refers to the number of variables or features used to represent an object
or observation.
Reasoning (R): Understanding the dimensionality of data is a key step in data analysis, data mining, and
machine learning.
Statement-Based Questions:
Direction: Questions 5-6, two statements are given: Statement 1 and Statement 2. Examine the statements and
mark the correct option:
a. Statement 1 is true, Statement 2 is true
b. Statement 1 is false, Statement 2 is false
c. Statement 1 is true, Statement 2 is false
d. Statement 1 is false, Statement 2 is true
5. Statement 1: Data cleaning should be done after making visualizations.
Statement 2: Removing inconsistent data helps ensure accuracy in analysis.
6. Statement 1: In Excel, Conditional Formatting can be used to highlight duplicate values.
Statement 2: In Python, Seaborn’s countplot() can show how often each category appears.

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Century #Experiential Learning
Skills
In daily life, AI uses data visualization to simplify complex information, such as traffic patterns or health data. How
do you think AI’s ability to present data visually impacts decision-making in areas like urban planning, healthcare,
and education?

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