The correct answer is D. Geopandas.

Geopandas is a Python package that provides a geospatial extension to the Pandas library. It allows you to work with spatial data in a variety of ways, including reading and writing data, performing spatial analysis, and creating maps and geographic visualizations.

Pandas is a Python library that provides high-performance, easy-to-use data structures and data analysis tools for working with structured (tabular, multidimensional, potentially heterogeneous) and time series data.

Seaborn is a Python data visualization library based on Matplotlib. It provides a high-level interface for drawing attractive statistical graphics.

Plotly is a Python library for interactive, publication-quality graphs. It is built on top of Matplotlib, but provides a more user-friendly interface and a wider range of features.

Here are some examples of how Geopandas can be used:

• Reading and writing spatial data: Geopandas can read and write data from a variety of spatial data formats, including Shapefiles, GeoJSON, and KML.
• Performing spatial analysis: Geopandas provides a variety of tools for performing spatial analysis, such as finding the nearest neighbor, calculating the distance between two points, and finding the area of a polygon.
• Creating maps and geographic visualizations: Geopandas can be used to create maps and geographic visualizations using Matplotlib, Plotly, or other visualization libraries.

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