IBM Data Science Practice Test 2025 – Comprehensive Exam Prep

The reason that D is the correct answer is that SciPy is primarily a library designed for scientific and technical computing in Python, focusing on numerical operations, optimization, and statistical functions. Although it does provide some functionality for data manipulation and analysis, it is not specifically a data visualization library.

On the other hand, Matplotlib, Pandas, and Seaborn are all well-known libraries extensively used for data visualization. Matplotlib is the foundation for creating static, animated, and interactive visualizations in Python. Seaborn is built on top of Matplotlib and simplifies the process of creating informative statistical graphics. Pandas, while mainly a data manipulation library, also has built-in visualization capabilities that integrate with Matplotlib for quick and efficient visual representation of data.

In summary, while the other options are tailored for creating visualizations, SciPy serves a different purpose in the data science ecosystem, focusing on computation rather than visualization.