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DA0-002 · Question #39

The human resources department wants to understand the relationship between the ages and incomes of all employees. Which of the following graphics is the most appropriate to present the analysis?

The correct answer is A. Scatter plot. To analyze the relationship between two continuous numerical variables, such as age and income, a scatter plot is the most appropriate graphical representation. It effectively visualizes potential correlations or patterns between the two variables.

Visualization and Reporting

Question

The human resources department wants to understand the relationship between the ages and incomes of all employees. Which of the following graphics is the most appropriate to present the analysis?

Options

  • AScatter plot
  • BArea plot
  • CBar chart
  • DPie chart

How the community answered

(48 responses)
  • A
    75% (36)
  • B
    6% (3)
  • C
    15% (7)
  • D
    4% (2)

Why each option

To analyze the relationship between two continuous numerical variables, such as age and income, a scatter plot is the most appropriate graphical representation. It effectively visualizes potential correlations or patterns between the two variables.

AScatter plotCorrect

A scatter plot is ideal for displaying the relationship between two continuous numerical variables, like age and income. Each point on the plot represents an employee's age and corresponding income, allowing for visual identification of trends, correlations, or clusters between these two variables.

BArea plot

An area plot is typically used to show how quantities change over time or categories, often with stacked areas to represent parts of a whole, not for relationships between two continuous variables.

CBar chart

A bar chart is used to compare discrete categories or show changes over time for categorical data, not for visualizing the relationship between two continuous variables.

DPie chart

A pie chart is used to show proportions of a whole for categorical data, making it unsuitable for analyzing the relationship between two numerical variables.

Concept tested: Data visualization - scatter plot

Source: https://learn.microsoft.com/en-us/power-bi/visuals/power-bi-visualization-scatter-charts

Topics

#Data Visualization#Scatter Plot#Chart Selection#Relationship Analysis

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