MCQ Collection
Data Visualization MCQs
Practice Data Visualization questions with answers and explanations.
Choose an option to check your answer.
A.
The most frequently occurring value or category
B.
The middle ordered value
C.
The average squared deviation
D.
The distance between quartiles
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Correct Answer: A. The most frequently occurring value or category
Explanation:
The mode is the value with the highest observed frequency.
Choose an option to check your answer.
A.
Data normalization
B.
Graphical integrity
C.
Random sampling
D.
Feature scaling
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Correct Answer: B. Graphical integrity
Explanation:
Graphical integrity requires visual proportions to represent numerical proportions honestly.
Choose an option to check your answer.
A.
They eliminate the need for data cleaning
B.
They enable consistent comparison across subsets using repeated scales
C.
They combine all variables into one number
D.
They guarantee equal variances
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Correct Answer: B. They enable consistent comparison across subsets using repeated scales
Explanation:
Small multiples repeat the same chart design for different groups or periods.
Choose an option to check your answer.
A.
df[age <- 30]
B.
df[df$age > 30, ]
C.
df$age[30, ]
D.
df(30 > age)
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Correct Answer: B. df[df$age > 30, ]
Explanation:
The logical condition identifies qualifying rows, and the blank column position keeps all columns.
Choose an option to check your answer.
A.
Mean, variance, skewness, kurtosis, and range
B.
Minimum, first quartile, median, third quartile, and maximum
C.
Minimum, mean, mode, variance, and maximum
D.
First percentile, mean, median, mode, and ninety-ninth percentile
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Correct Answer: B. Minimum, first quartile, median, third quartile, and maximum
Explanation:
The five-number summary describes the ordered spread and center of a distribution.
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A.
The sample size becomes smaller
B.
The variables become categorical
C.
The visual clutter reduces the data-to-ink efficiency
D.
The data loses precision in storage
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Correct Answer: C. The visual clutter reduces the data-to-ink efficiency
Explanation:
Nonessential visual elements compete with the data for attention.
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A.
Randomness
B.
Statistical power
C.
Legibility
D.
Sampling independence
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Correct Answer: C. Legibility
Explanation:
Legibility concerns whether text and marks can be perceived without confusion.
Choose an option to check your answer.
A.
Converting all data to graphics
B.
Saving a vector as an image
C.
Applying an operation to an entire vector without an explicit element-by-element loop
D.
Sorting only character values
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Correct Answer: C. Applying an operation to an entire vector without an explicit element-by-element loop
Explanation:
Many R operations automatically work across every element of a vector.
Choose an option to check your answer.
A.
Maximum minus minimum
B.
Mean minus median
C.
Q3 minus Q1
D.
Q1 plus Q3
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Correct Answer: C. Q3 minus Q1
Explanation:
The interquartile range spans the middle 50 percent of observations.
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A.
Does one variable cause another?
B.
Which cluster label is correct?
C.
What is the optimal database index?
D.
How is one variable distributed?
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Correct Answer: D. How is one variable distributed?
Explanation:
Univariate analysis focuses on the behavior of a single variable.
Choose an option to check your answer.
A.
It is only used after all analysis is complete
B.
It replaces statistical reasoning
C.
It is required only for image data
D.
It supports both discovery during analysis and communication of findings
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Correct Answer: D. It supports both discovery during analysis and communication of findings
Explanation:
Visualizations help analysts inspect data and detect patterns during exploration.
Choose an option to check your answer.
A.
Five random numbers
B.
A vector containing only 1 and 5
C.
A five-level factor
D.
The integer sequence 1, 2, 3, 4, 5
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Correct Answer: D. The integer sequence 1, 2, 3, 4, 5
Explanation:
The colon operator creates a regular sequence with a step of one.
