PL-300 Visualize and analyze the data Practice Question
You are creating a Power BI report to visualize customer feedback scores. The data contains a column 'FeedbackDate' with dates and a column 'Score' with values from 1 to 10. You want to show a trend line of average score over time. Which visual type is most appropriate?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Line chart
The correct option is D, Line chart, because a line chart is designed to display trends and changes over a continuous time axis, making it ideal for plotting average Score values against FeedbackDate. By placing FeedbackDate on the axis and aggregating Score as an average, the line chart clearly reveals how customer feedback scores trend over time. A pie chart (A) shows proportions of a whole at a single point and cannot represent a time trend. A Card (B) displays only a single aggregated value, and a Table (C) lists raw or summarized data without a visual trend line.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Pie chart
Why it's wrong here
Pie charts encode data as slice angles and areas, which are optimized for showing part-to-whole proportions, not changes over time. When customer fee needs to be visualized as a trend, a pie chart has no time axis, so you would have to create a separate pie per period and visually compare angles—a task humans perform poorly. It fails to reveal direction, velocity, or seasonality, making it an inappropriate choice for time-series data.
- ✗
Card
Why it's wrong here
A card visual is designed to display a single aggregate value, such as total fee, average fee, or the latest fee, as a large number. It collapses all temporal context into one scalar, so it cannot show how the fee evolves across periods, when peaks occur, or whether the trend is upward or downward. While useful for KPI dashboards, it is not a visualization of the underlying trend and would omit the time dimension entirely.
- ✗
Table
Why it's wrong here
A table visual presents fee values as rows and columns, forcing the consumer to manually scan and mentally interpolate changes between dates. It lacks any visual encoding for slope, magnitude, or acceleration, so patterns like gradual growth or sudden spikes are not immediately apparent. Even when sorted by date, a table does not abstract the data into a trend line, making it inefficient for identifying temporal patterns compared to a line chart.
- ✓
Line chart
Why this is correct
A line chart is the optimal choice for visualizing customer fee trends because it maps a continuous time field to the category axis and the fee measure to the value axis, using position and slope to encode magnitude and direction. It naturally reveals upward or downward movements, fluctuations, seasonality, and inflection points, and Power BI's date hierarchy supports multiple granularities (day, month, quarter, year) without changing the visual. Its perceptual efficiency for comparing positions along a common axis makes it the standard for time-series data.
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