Data Visualizations Class 9 Questions and Answers

Objective Type Questions

1. Data can be visualized using:

a) Graphs

b) Maps

c) Charts

d) All of the above

 

Answer- d) All of the above

 

2. Which of the following statements is false?

a) Data visualization can absorb information quickly.

b) Data visualization decreases the insights and takes slower decisions.

c) Data visualization is a type of visual art.

d) None of the above

 

Answer- b) Data visualization decreases the insights and takes slower decisions.

 

3. Which of the following is a use case of data visualization?

a) Healthcare

b) Sales and Marketing

c) Politics/Campaigning

d) All of the above

 

Answer- d) All of the above

 

4. Bar Graph is a

a) One-dimensional graph

b) Two-dimensional graph

c) Graph with no dimension

d) None of the above

 

Answer- a) One-dimensional graph

 

5. The data represented through a histogram can help in finding graphically the

a) Median

b) Mean

c) Mode

d) All of the above

 

Answer- d) All of the above

Data Visualizations Class 9 Questions and Answers

 

6. Pie Chart is a

a) One-dimensional graph

b) Two-dimensional graph

c) Graph with no dimension

d) None of the above

 

Answer- a) One-dimensional graph

 

7. Can a Line chart be used to plot multiple variables?

a) Yes

b) No

 

Answer- a) Yes

 

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

 

Answer- b) Left-skewed Distribution

 

Data Visualizations Class 9 Questions and Answers

 

Standard Questions

 

1. Give a few examples of real-life use of data visualization.

Examples of real-life data visualization applications:

  • Business Reports: Utilizing graphs and maps to analyze sales data and financial metrics to make informed decisions.
  • Weather Forecasts: Utilizing graphs and maps depicting temperature, precipitation, and wind patterns for easy comprehension.
  • Health Dashboards: Presenting patient vital signs data such as vitals signs and medical history to healthcare professionals for easy viewing.
  • Social Media Analytics: Analyzing user engagement metrics as part of social media marketing strategies.
  • Educational Data: Visualizing students performance and progress for teachers and parents.

 

Data Visualizations Class 9 Questions and Answers

 

2. Explain the importance of data visualizations.

Importance of Data Visualizations:

Visualizing information can make complex information simpler to comprehend and interpret, helping individuals recognize patterns, trends, and outliers that might otherwise not be readily apparent in raw data. Visualizations promote data-driven decision-making as insights can quickly be grasped and shared; they facilitate effective communication of findings and support persuasive presentations while simultaneously uncovering actionable insights and improving overall data understanding.

Data Visualizations Class 9 Questions and Answers

 

3. Explain a few graphs/charts used for data visualization.

Charts/Graphs Used for Data Visualization:

  • Bar Chart: Displays categorical data using rectangular bars where each bar represents one value, where the length corresponds with that value.
  • Line Chart: Shows data points connected by lines for viewing trends over time or continuous relationships.
  • Pie Chart: Visualizes distribution with each slice representing proportion of total.
  • Scatter Plot: Visualizes relationship between two numerical variables by plotting dots representing data points on graph.
  • Heatmaps are another method of representation used to indicate patterns or correlations among large datasets.

Data Visualizations Class 9 Questions and Answers

 

4. Give few examples of Multi-Variable and Single-variable plots

Examples of Multi-Variable and Single-Variable Plots:

Multi-Variable Plot:

  • 3D Scatter Plot – This plot depicts the relationship among three variables using three axes (x, y and z) to display data points in three-dimensional space.
  • Stacked Bar Chart – It displays multiple categories within each bar segment to represent subcategories’ contributions towards total.

Single-Variable Plot:

  • Histogram – Display of data by bins with frequencies displayed as bars across bars across an infinite spectrum.
  • Pie Chart- Represents Proportion of Each Category within One Categorical Variable as Slices of a Circle.

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