What types of data are present in the Large Data Set?

• A. Only numeric measurements, with no missing values.
• B. Text fields only, with no missing values.
• C. Numeric measurements and text/category fields, with possible missing values.
• D. Images and video data.

Answer: (C)

The key idea is that this Large Data Set mixes different kinds of data and can have gaps. It includes numeric measurements—think numbers from sensors or readings—as well as text or category fields that describe or classify those readings. Real-world data isn’t always complete, so there can be missing values too. Because of that, the option that mentions both numeric measurements and text/category fields, with possible missing values, best captures what’s in the dataset. The other possibilities are too limited—they either focus only on numeric data, only on text, or bring in data types (like images or video) that aren’t part of this dataset.