NCA-GENM Question 69
Select 3You are tasked with analyzing a dataset containing customer purchase behaviors for an e-commerce platform. Using an NVIDIA RAPIDS library, you identify trends and correlations in the data. To effectively communicate your findings to a non-technical team, which visualization approach should you use?
- A
Generate a scatter plot to visualize correlations between product categories and purchase frequency.
- B
Create a bar chart to show the total revenue contribution of each product category.
- C
Develop a word cloud to represent trending keywords from customer reviews.
- D
Use a 3D point cloud to display all customer transactions across multiple dimensions.
- E
Design a heatmap to illustrate seasonal purchase trends over time.
Show answer and explanation
Correct answers: A, B, E
Explanation
To effectively convey the results of data analysis to a non-technical audience, it is important to use visualizations that are simple, clear, and directly aligned with the insights being communicated. Scatter plots, bar charts, and heatmaps are all effective tools for visualizing trends and patterns in the dataset, while overly complex or irrelevant visualizations, such as 3D point clouds or word clouds, may hinder understanding.
- A. Correct.
A scatter plot is effective for illustrating correlations, such as the relationship between product categories and purchase frequency, which can provide actionable insights for the team.
- B. Correct.
A bar chart is a simple and clear way to visualize the total revenue contribution of each product category, making it ideal for a non-technical audience to understand key takeaways.
- C. Incorrect.
While word clouds are visually appealing, they are not directly relevant to the task of conveying purchase behavior trends. They focus on textual data rather than numerical insights.
- D. Incorrect.
A 3D point cloud may be overly complex and difficult for a non-technical audience to interpret, making it unsuitable for this scenario.
- E. Correct.
A heatmap is an excellent choice for visualizing seasonal trends, as it can clearly represent changes in purchase behavior over time in an intuitive format.