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Google Professional Machine Learning Engineer

Google Professional Machine Learning Engineer

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In the context of designing a dashboard for a large e-commerce platform, you are tasked with visualizing the hierarchical structure of product categories and their respective sales volumes to identify trends and outliers. The dashboard must efficiently display this hierarchical relationship while allowing for quick comparison of sales volumes across different categories. Given the constraints of space and the need for clarity in presentation, which visualization technique would be the most suitable for this scenario? Choose the best option.

Real Exam




Explanation:

Correct Options: B. Tree map and E. Heat map
A treemap is highly effective for visualizing hierarchical data, such as product categories and their sales volumes, by representing it as nested rectangles where each rectangle's size corresponds to the data item's value. This allows for quick comparison of sales volumes across different categories and identification of trends and outliers. A heat map can complement this by using color gradients to represent sales volumes, providing an additional layer of data interpretation.

Why other options are incorrect:

  • A. Scatter plot: Best suited for examining relationships between two continuous variables, not hierarchical data.
  • C. Bar chart: Ideal for comparing categorical data but does not effectively represent hierarchical relationships.
  • D. Histogram: Used to display the distribution of a numerical variable, not hierarchical data.
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