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What is a markdown cell used for in a data science notebook?

A. Documenting the computational process.
B. Holding the output of a computation.
C. Configuring data connections.
D. Writing code to transform data.

1 Answer

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Final answer:

A markdown cell is for documenting the computational process in a data science notebook, allowing for the addition of formatted explanatory text, making the work more comprehensible.

Step-by-step explanation:

A markdown cell in a data science notebook is used for documenting the computational process. Unlike code cells that are used for writing and executing code, markdown cells contain formatted text written in Markdown language.

These cells can include explanations, hypotheses, data analysis descriptions, and notes to users or oneself, making the notebook more organized and easier to understand. For example, you can explain what a block of code is meant to do, interpret results, or add headings and subheadings to structure your analysis.

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