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C. Competency-based questions: HOTS Century #Interdisciplinary
Skills
1. You are part of the school’s annual report team. You are given student attendance data of all sections from April
to March. Describe how you would use Excel to create a clear visual representation and what chart type you
would choose. Justify your choice.
Ans. I would use Excel to enter attendance data in a table and then select the data to insert a bar chart. A bar
chart clearly compares attendance across different sections. I would customize the chart using titles and
color options to make it easy to read and understand for the school report.
2. You are analysing study hours of 30 students for a school project. Which Seaborn function would you use to
understand how study hours are distributed, and why?
Ans. I would use sns.histplot() from Seaborn because it shows how values (study hours) are grouped
across intervals. It helps in understanding the spread and frequency of study time among students, making
it easy to spot common study patterns or gaps.
3. You are given a dataset with 5 features: Age, Marks, Attendance, Gender, and Class. You need to show the
relationships among all features using Python. Which method would you choose and why?
Ans. I would use a Pair Plot in Seaborn (sns.pairplot()) because it shows relationships between all pairs of
features. This helps in identifying patterns and correlations across multiple variables in one visual, which is
helpful for exploring multidimensional data.
Assertion and Reasoning Questions:

Direction: Questions 4-5, 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.

4. Assertion (A): Seaborn is preferred over Matplotlib for advanced statistical plots.
Reasoning (R): Seaborn requires more lines of code than Matplotlib.
5. Assertion (A): Data visualization improves the speed and clarity of decision-making.
Reasoning (R): Visual data is easier to understand than large tables of raw numbers.
Ans. 4. c 5. a

Statement-Based Questions:
Direction: Questions 6-8, 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
6. Statement 1: A pie chart is used to show how a whole is divided into parts.
Statement 2: A pie chart is suitable for displaying time series data.
7. Statement 1: A 3D scatter plot can represent Age, Marks, and Attendance together.
Statement 2: Line plots are generally used to display changes over time.
8. Statement 1: Seaborn is used only with Excel files.
Statement 2: Seaborn can create heatmaps, countplots, and pair plots.
Ans. 6. c 7. a 8. d

Data Visualization 187