Data Visualization MCQ with Answers

 1. What is true about Data Visualization?

A. Data Visualization is used to communicate information clearly and efficiently to users by the usage of information graphics such as tables and charts.
B. Data Visualization helps users in analyzing a large amount of data in a simpler way.
C. Data Visualization makes complex data more accessible, understandable, and usable.
D. All of the above

2. Which are pros o f data visualization?

A. It can be accessed quickly by a wider audience.
B. It can misrepresent information
C. It can be distracting
D. None Of the above

Ans : A

Explanation: Pros of data visualization : it can be accessed quickly by a wider audience.

3. Data can be visualized using?

A. graphs
B. charts
C. maps
D. All of the above

Ans : D

Explanation: Data visualization is a graphical representation of quantitative information and data by using visual elements like graphs, charts, and maps.

4. Which are cons of data visualization?

A. It conveys a lot of information in a small space.
B. It makes your report more visually appealing.
C. visual data is distorted or excessively used.
D. None Of the above

5. Data visualization is also an element of the broader _____________.

A. deliver presentation architecture
B. data presentation architecture
C. dataset presentation architecture
D. data process architecture

6. Which of the intricate techniques is not used for data visualization?

A. Bullet Graphs
B. Bubble Clouds
C. Fever Maps
D. Heat Maps

Ans : C

Explanation: Fever Maps is not is not used for data visualization instead of that Fever charts is used.

7. Which method shows hierarchical data in a nested format?

A. Treemaps
B. Scatter plots
C. Population pyramids
D. Area charts

Ans : A

Explanation: Tree maps are best used when multiple categories are present, and the goal is to compare different parts of a whole.

8. Which one of the following is most basic and commonly used techniques?

A. Line charts
B. Scatter plots
C. Population pyramids
D. Area charts

Ans : A

Explanation: Line charts. This is one of the most basic and common techniques used. Line charts display how variables can change over time.

9.Which of the following is not benefit of data storytelling? industry and topic thought leader.

A) Providing a human touch to your data

B) Offering value to your audience and industry.

C) Building credibility as an

D) To represent complex data values

10. In Storytelling, how will you communicate to your audience?

A) With live presentation

 B) With a written document or email

C)  Both A and B

D) With telephone call

11.In data storytelling, internal and external stakeholders are ………..

A) Targeted audience

 B) General audience

 C) Specific audience

D) Data specific audience

12. What is the primary purpose of storytelling in data visualization?

A)    To make the data more complicated and confusing

B)    To provide context and a narrative of data

C)    To hide the data from the audience

D)    To reduce the presented data

13. …………is a methodology for communicating information, tailored to a specific audience, with a compelling narrative

A. Data science

B)    Artificial intelligence

C)    Data storytelling

D)    Data Visualization

14. Chart borders and background shading are unnecessary because of which Gestalt principle?
A)    Enclosure	B)    Closure	C)    connectivity	D)    Continuity
15. Things that are colored the same are seen as together according to what Gestalt Principle?
A)    Closure	B)    Proximity	C)    Similarity	D)    Saturation
16. What type of title should you use for a proper data story?
A)    An Action title	B)    A Predictive title	C)    An Arbitrary title	D)    Don't use title
17. When should we use a table instead of a chart?
A)    When the data is very complex	B)    When there are no real patterns in the data	C)    When we are looking up specific values in the data set	D)    When the data is very simple
18. What is the benefit of using color in data visualization?
A) To make the visualizations more monotonous	B) To highlight important data points and patterns	C) To decrease the visibility of  visual	D) To hide data points
19. The key element of data storytelling
A) Narrative	B) Visuals	C) Data	D) All

20. What is the primary goal of data visualization?
A) To collect more data	B) To make data more accessible and understandable	C) To hide data from the audience	D) To represent data accurately
21. What is data visualization?
A) It is the graphical representation of information and data	B) It is the numerical representation of information and data	C) It is the character representation of information and data	D) None
22. What are the benefits of data visualization?
A) Better analysis	B) Identifying patterns	C) Exploring business insights	D) All
23. Deleting the grid lines in the table and the horizontal lines in the chart causes_________
A) increases the data-ink ratio	B) decreases the data-ink ratio	C) increases the Non-data-ink ratio	D) does not affect the data-ink ratio
24. The charts that are helpful in making comparisons between ...............
A) Bar charts	B) column charts	C) Pie charts	D) Both Bar & Column Charts
25. Chart borders and background shading are unnecessary because of which Gestalt principle?
A)    Enclosure	B)    Closure	C)    connectivity	D)    Continuity