NCA-AIIO Question 78
Select 3You are part of a team using NVIDIA RAPIDS to perform data analysis on a large dataset. After completing the analysis, the team needs to create visualizations to present the distribution of data and uncover key trends. Which of the following tools or libraries would be the most appropriate for creating these visualizations in the context of NVIDIA-certified AI workflows?
- A
Matplotlib
- B
Plotly
- C
NVIDIA Nsight Systems
- D
Seaborn
- E
cuGraph
Show answer and explanation
Correct answers: A, B, D
Explanation
The correct answers include Matplotlib, Plotly, and Seaborn, as they are commonly used visualization libraries compatible with data analysis workflows in NVIDIA RAPIDS. NVIDIA Nsight Systems and cuGraph, while part of the NVIDIA ecosystem, are not intended for creating visualizations; they serve other specific purposes such as profiling and graph analytics.
- A. Correct.
Matplotlib is a widely used Python library for creating static, animated, and interactive visualizations. It integrates well with NVIDIA RAPIDS workflows for general-purpose plotting.
- B. Correct.
Plotly is a versatile library for creating interactive, web-based visualizations. It is also compatible with data processed using NVIDIA RAPIDS.
- C. Incorrect.
NVIDIA Nsight Systems is a performance analysis tool designed for profiling and optimizing GPU workloads, not for creating data visualizations.
- D. Correct.
Seaborn is built on top of Matplotlib and is excellent for creating statistical visualizations. It can be used effectively to convey trends and distributions in data analysis.
- E. Incorrect.
cuGraph is a GPU-accelerated graph analytics library in NVIDIA RAPIDS, primarily used for graph processing and not for creating visualizations.