Chart visualization 101
Chart Visualization 101 Quiz
Test your knowledge on chart visualization and improve your skills in selecting the right chart types for data representation. This quiz covers essential concepts, best practices, and scenarios when using different charts.
Topics include:
- Choosing the right visualization
- Understanding data composition
- Interpreting data relationships
- Identifying unsuitable chart types
The visualization/ chart type selection mostly depends on:
The number of variables for the chart
The data/variable type
The information/ purpose that designer wants to deliver
The audience's chart literacy/understanding
What are main information categories that charts can support illustrating?
Comparison
Composition
Distribution
Relationship
All of the above
In which situation that drawing a line chart is not necessary or unsuitable?
(1) When the trend is expected to be extremely stable (from experience or historical data)
(2) When comparing among segments/ groups
(3) When there is no time factor
(1) and (3)
When is column chart prefered than bar chart?
When illustrating changing over time
When comparing among segments/groups
When the label of segments/groups are too long
When ranking the value among segments/groups
Which chart type cannot be used to demonstrate the composition of data?
Tree map
Waterfall chart
Stacked chart
None of the above
When can a stacked area chart be more suitable than a line graph?
Establish part-to-whole relationship and the total value
Demonstrate the trend of segments over time
Illustrate more than 5 segments
Combine with another types of data visualization, such as a bar chart (dual-axis)
What can make doughnut chart be more informative than a traditional pie chart?
The less data-ink ratio
The total value at the center of a donut
The modern and attractive design
None of these above
KPIs are most effectively illustrated by which of the following visualization type?
(1) Gauge chart
(2) Spider chart/ radar chart
(3) Number visualization (presented as a Card with number in large size)
(1) and (3)
In which situation that a bubble chart should not be used?
(1) When illustrating relationship among variables
(2) When there are 2 variables in the chart
(3) When bubble represents only the name of the object/segment
(1) and (3)
(2) and (3)
Which statement is incorrect?
For nominal data, the numbers assigned to each variable or observation are only used to classify the variable or observation
In ordinal data, there is an ordered relationship between the variable’s observations
Temperature measurement is an example of an interval data: 60°C is colder than 65°C and the difference in temperature is the same as the difference between 50°C and 55°C.
With a true zero point, it would be correct to say that someone with $100 has twice as much money as someone with $50, and this is one feature of interval data
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