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Answer: Use the %r magic command in new cells specifically for R-based visualizations.
By using the %r magic command, the analyst can seamlessly integrate R for data visualization without altering the existing Python analytics code. This approach leverages Databricks' support for multiple languages, enabling enhanced data analysis and visualization within a single notebook.
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How can a data analyst integrate complex R-based visualizations into a Databricks notebook that already contains Python analytics code without rewriting the existing code?
A
Rewrite the Python analytics code in R for consistency.
B
Export the data from Python to an R script outside Databricks.
C
Use the %r magic command in new cells specifically for R-based visualizations.
D
Convert R visualization code to Python before integrating.