The correct answer is A. Plotly.
Plotly is a Python library that provides interactive and web-based data visualizations. It is a popular choice for data visualization because it is easy to use and provides a wide range of features. Plotly can be used to create line charts, bar charts, scatter plots, and more. It can also be used to create interactive maps and dashboards.
Seaborn is another popular Python library for data visualization. It is similar to Plotly in that it provides a wide range of features for creating interactive and web-based data visualizations. However, Seaborn is more focused on statistical visualization, while Plotly is more focused on general-purpose visualization.
Pandas is a Python library that is used for data analysis and manipulation. It is not a library that is specifically designed for data visualization. However, Pandas can be used to create data visualizations using the Matplotlib library.
Matplotlib is a Python library that is used for creating 2D and 3D plots. It is a popular choice for data visualization because it is powerful and flexible. However, Matplotlib is not as easy to use as Plotly or Seaborn.
In conclusion, the correct answer to the question “What Python library provides interactive and web-based data visualizations?” is A. Plotly.