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Answer: Bar chart, as it allows for easy comparison of frequencies across different categories with discrete bars.
Correct Option: C. Bar Chart A bar chart is the most suitable visualization technique for displaying the frequency distribution of categorical variables like 'Product Category' and 'Customer Satisfaction Level'. It uses discrete bars to represent the count or proportion of each category, making it straightforward to compare different categories at a glance. This method is particularly effective for categorical data where each category is distinct and does not overlap. Why other options are incorrect: - A. Line plot: This is best suited for showing trends over time or continuous numerical data, not for categorical distributions. - B. Histogram: Designed to show the distribution of numerical data by grouping numbers into bins, not suitable for categorical data which lacks inherent order. - D. Scatter plot: Used to explore relationships between two numerical variables, not for displaying frequency distributions of categories.
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You are working on a project that involves analyzing customer feedback data for a retail company. The data includes categorical variables such as 'Product Category' and 'Customer Satisfaction Level'. Your goal is to visualize the frequency distribution of these categorical variables to identify trends and patterns. Considering the need for clarity, ease of interpretation, and the ability to compare different categories, which visualization technique would you choose? (Choose one correct option)
A
Line plot, as it effectively shows trends over time for each category.
B
Histogram, because it can display the distribution of categories by grouping them into bins.
C
Bar chart, as it allows for easy comparison of frequencies across different categories with discrete bars.
D
Scatter plot, to explore the relationship between two categorical variables.
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