What is the process of extracting patterns and information from data called?

The correct answer is D. Data Mining.

Data mining is the process of extracting patterns and information from data. It is a subset of data science and is used to find hidden patterns in data sets. Data mining can be used for a variety of purposes, such as fraud detection, customer segmentation, and product recommendation.

Data wrangling is the process of cleaning and organizing data. It is the first step in data mining and is necessary to ensure that the data is accurate and complete. Data wrangling can be a time-consuming and complex process, but it is essential for the success

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