Matplotlib and Bokeh: Choosing the Right Data Visualization Library

Correct Answers: A and C.

Option A, C are correct.

The Azure Sentinel notebooks use many popular Python libraries such as pandas, matplotlib, bokeh, and others for Visualizations and graphics, Data processing and analysis, Statistics and numerical computing and Machine learning and deep learning.

Option B is incorrect since these are not standalone notebooks and are libraries.

Option D is incorrect since these are not standalone workbooks and are libraries.

Reference:

Matplotlib and Bokeh are Python libraries for creating data visualizations, particularly plots, charts, and graphs. These libraries can be used for a wide range of data visualization tasks, from simple line plots and scatter plots to complex visualizations like heatmaps and 3D plots.

Matplotlib is a popular and widely used Python library for creating data visualizations. It provides a range of functions for creating a variety of plot types, as well as customization options for things like colors, labels, and annotations. Matplotlib can be used for both static and interactive visualizations.

Bokeh is another Python library for creating interactive data visualizations. It allows you to create interactive plots that can be easily embedded in web applications, and includes features like hover tools, zooming, and panning.

Neither Matplotlib nor Bokeh are standalone notebooks or playbooks for plotting timeseries graphs. Instead, they are libraries that can be imported and integrated into Python scripts or notebooks for creating data visualizations. While they can be used with a variety of platforms and tools, including Azure Sentinel notebooks, they are not specifically designed for or limited to any one platform.

Therefore, the correct answer to this question is A) Python libraries.