The topic Data Visualization in CBSE Class 9 Data Science (Subject Code 419) teaches students how to represent data in the form of graphs, charts, and diagrams for easy understanding and analysis. The NCERT Solutions for Data Visualization Class 9 provide detailed answers to all textbook questions, helping students learn step by step and prepare for exams effectively.
Data Visualization Class 9 NCERT Solutions
1. Data can be visualised using:
a. Graphs
b. Maps
c. Charts
d. All of the above
2. Which of the following statements is false?
a. Data visualisation can absorb information quickly.
b. Data visualisation decreases the insights and takes slower decisions.
c. Data visualisation is a type of visual art.
d. None of the above
3. Which of the following is a use case of data visualisation?
a. Healthcare
b. Sales and Marketing
c. Politics/Campaigning
d. All of the above
4. A bar graph is a
a. One-dimensional graph
b. Two-dimensional graph
c. Graph with no dimension
d. None of the above
5. The data represented through a histogram can help in finding graphically the
a. Median
b. Mean
c. Mode
d. All of the above
6. A pie chart is a
a. One-dimensional graph
b. Two-dimensional graph
c. Graph with no dimension
d. None of the above
8. Can a line chart be used to plot multiple variables?
a. Yes
b. No
8. The height of your classmates is recorded and arranged in ascending order. The data is represented as a histogram. What type of shape does the histogram have?
a. Right-skewed Distribution
b. Left-skewed Distribution
c. Bimodal Distribution
d. Random Distribution
Standard Questions
1. Give a few examples of real-life use of data visualisation.
Answer: The data visualisation can be used in different places like:
- Tracking patient recovery records in healthcare services
- Weather forecasting can be used for showing temperature in different places.
- To compare product of sales can also be visualised in data visualisation.
- In education also we can analyse the student performance and attendance.
2. Explain the importance of data visualisations.
Answer: The data visualisation can be used for making complex data easy to understand; it helps to find the pattern or trends, improves the decision-making and helps to turn raw data into meaningful insights.
3. Explain a few graphs/charts used for data visualisation.
Answer: The graphs used for data visualisation are:
- Bar Graph: To compare categories like fruit sales, etc.
- Pie Chart: Helps to show proportions like survey results, etc.
- Histogram: It helps to show the frequency of ranges like students’ height, etc.
4. Give a few examples of multi-variable and single-variable plots.
Answer: The few examples of multi-variable and single-variable plots are:
Single Variable Plots:
- Histogram
- Pie Chart
- Dot Plot
Multi-Variable Plots
- Line chart with multiple lines
- Scatter Plot
- Grouped Bar Chart
5. The value of pi (π) up to 55 decimal places is given below:
3.1415926535 8979323846 2643383279 5028841971 6939937510 58209
- a. Make a frequency distribution table for the digits from 0 to 9 after the decimal point.
- b. Find the most and the least frequently occurring digits.
Answer:
Given Digits (after decimal): 1415926535 8979323846 2643383279 5028841971 6939937510 58209
a. Frequency Distribution Table
Digit Frequency
| 0 | 2 |
| 1 | 5 |
| 2 | 6 |
| 3 | 8 |
| 4 | 6 |
| 5 | 8 |
| 6 | 5 |
| 7 | 6 |
| 8 | 5 |
| 9 | 4 |
b. Most & Least Frequent Digits
- Most Frequent:
- Digits 3 and 5 → Each appears 8 times.
- Least Frequent:
- Digit 0 → Appears 2 times
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