Learn the difference between structured and unstructured data in survey questions. Prepare for the IBM Artificial Intelligence Fundamentals certification exam.
Table of Contents
Question
Shelby writes a survey that includes the following question: “Do you like chocolate (circle Yes or No), and why?”
Which of the following describes the data Shelby will collect?
A. Both structured data and unstructured data
B. Structured data
C. Neither structured data nor unstructured data
D. Unstructured data
Answer
A. Both structured data and unstructured data
Explanation
In the first part of the question, “Do you like chocolate (circle Yes or No)…”, Shelby collects structured data. In the second part of the question, “and why?”, Shelby collects unstructured data.
The survey question “Do you like chocolate (circle Yes or No), and why?” will collect both structured and unstructured data. Here’s a detailed explanation:
Structured data:
The first part of the question, “Do you like chocolate (circle Yes or No),” will collect structured data. Structured data is data that is organized in a predefined format, such as a fixed set of possible responses. In this case, the responses are limited to either “Yes” or “No,” making it easy to categorize and analyze the data quantitatively.
Unstructured data:
The second part of the question, “and why?” will collect unstructured data. Unstructured data is data that does not follow a predefined format and can include text, images, audio, or video. The open-ended nature of “and why?” allows respondents to provide their own explanations, opinions, or experiences, which may vary greatly in content and length. This type of data is more challenging to analyze as it requires qualitative methods, such as text mining or sentiment analysis, to extract meaningful insights.
In summary, the survey question combines both structured and unstructured data collection methods. The structured portion allows for easy quantitative analysis, while the unstructured portion provides rich, qualitative insights that can help contextualize and explain the quantitative results.
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