Data Visualization MCQs
This section focuses on "Data Visualization" in Data Science. These Data Visualization Multiple Choice Questions (MCQ) should be practiced to improve the Data Science skills required for various interviews (campus interview, walk-in interview, company interview), placements, entrance exams and other competitive examinations.
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
View Answer
Ans : D
Explanation: Data Visualization is used to communicate information clearly and efficiently to users by the usage of information graphics such as tables and charts. It helps users in analyzing a large amount of data in a simpler way. It makes complex data more accessible, understandable, and usable.
2. Which are pros of 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
View Answer
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
View Answer
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
View Answer
Ans : C
Explanation: It can be distracting : if the visual data is distorted or excessively used.
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
View Answer
Ans : B
Explanation: Data visualization is also an element of the broader data presentation architecture (DPA) discipline, which aims to identify, locate, manipulate, format and deliver data in the most efficient way possible.
6. Which of the intricate techniques is not used for data visualization?
A. Bullet Graphs
B. Bubble Clouds
C. Fever Maps
D. Heat Maps
View Answer
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
View Answer
Ans : A
Explanation: Treemaps 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
View Answer
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 is used to inference for 1 proportion using normal approx?
A. fisher.test()
B. chisq.test()
C. Lm.test()
D. prop.test()
View Answer
Ans : D
Explanation: prop.test() is used to inference for 1 proportion using normal approx.
10. Which is used to query and edit graphical settings?
A. anova()
B. par()
C. plot()
D. cum()
View Answer
Ans : B
Explanation: par() is used to query and edit graphical settings.
11. Which is used to find the factor congruence coefficients?
A. factor.mosaicplot
B. factor.xyplot
C. factor.congruence
D. factor.cumsum
View Answer
Ans : C
Explanation: factor.congruence is used to find the factor congruence coefficients.
12. Which of the following method make vector of repeated values?
A. rep()
B. data()
C. view()
D. read()
View Answer
Ans : B
Explanation: data() load (often into a data.frame) built-in dataset.
13. Which of the following is tool for checking normality?
A. qqline()
B. qline()
C. anova()
D. lm()
View Answer
Ans : A
Explanation: qqnorm is another tool for checking normality.
14. Who calls the lower level functions lm.fit?
A. lm()
B. col.max
C. par
D. histo
View Answer
Ans : A
Explanation: lm calls the lower level functions lm.fit.
15. Which of the following is false?
A. data visualization include the ability to absorb information quickly
B. Data visualization is another form of visual art
C. Data visualization decrease the insights and take solwer decisions
D. None Of the above
View Answer
Ans : C
Explanation: Data visualization decrease the insights andtake solwer decisions is false statement.
16. Which of the following lists names of variables in a data.frame?
A. par()
B. names()
C. barchart()
D. quantile()
View Answer
Ans : D
Explanation: names function is used to associate name with the value in the vector.
17. Common use cases for data visualization include?
A. Politics
B. Sales and marketing
C. Healthcare
D. All of the above
View Answer
Ans : D
Explanation: All option are Common use cases for data visualization.
18. Which of the folllowing statement is true?
A. Scientific visualization, sometimes referred to in shorthand as SciVis
B. Healthcare professionals frequently use choropleth maps to visualize important health data.
C. Candlestick charts are used as trading tools and help finance professionals analyze price movements over time
D. All of the above
View Answer
Ans : D
Explanation: All option are correct.
19. Which of the following plots are often used for checking randomness in time series?
A. Autocausation
B. Autorank
C. Autocorrelation
D. None of the above
View Answer
Ans : C
Explanation: If the time series is random, such autocorrelations should be near zero for any and all time-lag separations.
20. ________is used for density plots?
A. par
B. lm
C. kde
D. C
View Answer
Ans : C
Explanation: kde is used for density plots.
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