CompTIA Data+ DA0-002 (V2) Practice Question

The correct option is pandas. The pandas library is an open-source tool built on top of Python, specifically designed for data manipulation and analysis. Its primary data structure, the DataFrame, is a two-dimensional table ideal for handling structured, tabular data like that from a CSV file. Pandas provides extensive and high-performance functions for cleaning, filtering, grouping, and analyzing data, which directly matches the analyst's requirements.

• NumPy is a library for numerical computing in Python. While pandas is built on NumPy, NumPy's core data structure is the n-dimensional array, which is more suited for numerical calculations rather than the flexible, labeled data manipulation of tabular data that pandas provides.
• Matplotlib is a library for creating static, animated, and interactive visualizations in Python. An analyst would typically use Matplotlib to plot data after it has been cleaned and prepared using a library like pandas, not for the data manipulation itself.
• scikit-learn is a comprehensive library for machine learning in Python. It is used for tasks like classification, regression, and clustering. While it is used for data analysis, it is not the primary tool for the general-purpose data loading and manipulation described in the scenario.