What type of visualization is most appropriate for understanding the distribution of a continuous feature? a) scatter plot b) box plot c) histogram d) heatmap
Understand the Problem
The question is asking about the most suitable type of visualization to analyze the distribution of a continuous variable among the listed options. Each visualization method presents data differently, and this question seeks to identify which one effectively showcases distribution.
Answer
Histogram.
The final answer is c) histogram.
Answer for screen readers
The final answer is c) histogram.
More Information
Histograms are ideal for visualizing the distribution of a continuous feature because they provide a clear visual representation of the frequency of data within different intervals or 'bins'.
Tips
A common mistake is to confuse scatter plots and histograms. While scatter plots are great for showing relationships between two variables, they are not ideal for displaying distributions of a single continuous variable.
Sources
- 7 Visualizing distributions: Histograms and density plots - clauswilke.com
- Essential Chart Types for Data Visualization | Atlassian - atlassian.com