#1
Which of the following is a recommended practice for choosing colors in data visualization?
Use a diverse color palette to make the visualization more appealing
ExplanationDiverse colors enhance visualization appeal.
#2
Which of the following is a common mistake to avoid when designing a data visualization?
Using too many colors
ExplanationAvoid using excessive colors.
#3
What is the purpose of adding interactivity to data visualizations?
To engage users and allow exploration of data
ExplanationInteractivity engages and explores data.
#4
Which of the following is a key consideration when choosing a visualization tool?
The specific requirements of the project
ExplanationChoose tools based on project requirements.
#5
What does the term 'chart junk' refer to in data visualization?
Excessive decorations or elements that do not improve the understanding of the data
ExplanationChart junk adds unnecessary elements.
#6
What does the term 'data-ink ratio' refer to in data visualization?
The ratio of data to non-data elements in a visualization
ExplanationData-ink ratio measures data clarity.
#7
Which of the following chart types is best suited for showing trends over time?
Line chart
ExplanationLine charts effectively display trends.
#8
What is the purpose of using gridlines in a chart or graph?
To aid in data interpretation and comparison
ExplanationGridlines aid data interpretation.
#9
Which of the following is NOT a type of data visualization encoding channel?
Font
ExplanationFont is not an encoding channel.
#10
Which of the following visualization types is best suited for comparing parts of a whole?
Pie chart
ExplanationPie charts compare parts of a whole.
#11
What is the significance of the 'lie factor' in data visualization?
It measures the extent to which a visualization distorts data
ExplanationLie factor measures data distortion.
#12
What does the term 'data aggregation' mean in the context of data visualization?
The process of summarizing and combining data
ExplanationData aggregation summarizes and combines data.
#13
What is the primary purpose of using storytelling in data visualization?
To communicate insights effectively
ExplanationStorytelling communicates insights.
#14
What is a 'small multiple' in data visualization?
A set of similar charts or graphs showing different subsets of data
ExplanationSmall multiples show data subsets.
#15
In data visualization, what does 'pre-attentive processing' refer to?
The ability to understand data without conscious effort
ExplanationPre-attentive processing aids data comprehension.
#16
Which of the following is a characteristic of effective data storytelling?
Engaging the audience emotionally
ExplanationEffective storytelling engages emotionally.
#17
Which of the following is a common guideline for designing effective data visualizations?
Avoid redundancy in data encoding
ExplanationEffective designs avoid redundancy.
#18
What does the term 'data-sonification' refer to in data visualization?
Converting data into sound for analysis
ExplanationData-sonification converts data to sound.
#19
What is the purpose of using tooltips in interactive data visualizations?
To provide additional context or details about data points
ExplanationTooltips offer additional data context.