Final answer:
A data scientist might need a specific kind of GPU to perform complex data transformations quickly, which benefits from the parallel processing capabilities of GPUs.
Step-by-step explanation:
Why might a data scientist need a particular kind of GPU (graphics processing unit)? The correct answer is D. To perform certain data transformation quickly. While GPUs were originally designed to handle computer graphics and image processing, their ability to simultaneously perform a large number of simple calculations makes them extremely useful for complex data operations often needed in data science, such as processing large datasets, running simulations, or training machine learning models. Unlike simple data visualization tasks like displaying a bar chart, these computations can take advantage of GPUs' parallel processing capabilities to speed up the data transformation process significantly.