CompTIA Data+ (DA0-002)VisualizationMedium
A financial analyst is preparing a report to show the correlation between advertising spend and sales revenue over the past two years. The report needs to identify if there's a positive, negative, or no relationship, and potentially highlight any outliers. Which chart type would be MOST appropriate for this task?
- AScatter plot
- BHeatmap
- CGauge chart
- DBubble chart
Show answer & explanationAnswer & explanation
Correct answer: A. Scatter plot
A scatter plot is the most appropriate chart type for visualizing the relationship or correlation between two numerical variables (advertising spend and sales revenue). It allows the analyst to observe patterns, identify positive or negative trends, assess the strength of the relationship, and spot any outliers that deviate from the general trend.
Why the other options are wrong
- B. Heatmaps are used to show data values in a matrix, often for density or magnitude across two categories, not direct correlation between two numerical variables.
- C. Gauge charts are used to display a single KPI against a target, not for showing relationships between two variables.
- D. Bubble charts are used to show relationships between three or four variables, where the size of the bubble represents an additional variable, making it more complex than needed for two variables.
Scatter Plot
A graph that displays the values for two different numerical variables as points on a Cartesian coordinate system, used to observe the relationship between them.
- Shows correlation or relationship between two variables.
- Identifies patterns, trends, and outliers.
- Each point represents a single data observation.
Memory trick: Two variables meet, their dance to show, a scatter plot helps the insights flow.