CompTIA Data+ (DA0-002)VisualizationHard
A data analyst is creating a dashboard to monitor website traffic and user engagement. One key requirement is to show the geographical distribution of website visitors, highlighting which countries contribute the most traffic, and also to visualize the average session duration for each country. The analyst needs a single visualization that can effectively display both geographical location and two quantitative metrics (traffic volume and session duration) per country. Which chart type would be MOST appropriate?
- AGeographic Bubble Map
- BChoropleth Map with Tooltips
- CTreemap
- DHeatmap
Show answer & explanationAnswer & explanation
Correct answer: A. Geographic Bubble Map
A geographic bubble map is ideal for displaying data points (countries) on a map, where the size of the bubbles can represent one quantitative metric (traffic volume) and the color of the bubbles can represent another (average session duration), thus fulfilling all requirements in a single visualization.
Why the other options are wrong
- B. A choropleth map uses color to represent a single quantitative variable across geographical regions. While it shows location, it struggles to effectively display a second quantitative metric per region without additional, less integrated elements like tooltips.
- C. A treemap displays hierarchical data as nested rectangles, where the size of the rectangle represents a quantitative value, but it does not inherently represent geographical location.
- D. A heatmap visualizes data intensity using color in a grid-like structure, not typically on a geographic map for multiple metrics per country.
Geographic Bubble Map
A map visualization where geographical locations are represented by bubbles, and the size and/or color of the bubbles encode quantitative data related to those locations.
- Combines geographical context with quantitative data.
- Bubble size can represent one metric (e.g., volume).
- Bubble color can represent another metric (e.g., intensity or average).
Memory trick: Bubbles on Maps, Metrics Overlaps.