Which of the following statements accurately describe wide and long data? Select all that apply.1 pointLong data subjects can have multiple rows that hold the values of subject attributes.Wide data subjects can have data in multiple columns. Wide data subjects can have multiple rows that hold the values of subject attributes. Long data subjects can have data in multiple columns.
Question
Which of the following statements accurately describe wide and long data? Select all that apply.1 pointLong data subjects can have multiple rows that hold the values of subject attributes.Wide data subjects can have data in multiple columns. Wide data subjects can have multiple rows that hold the values of subject attributes. Long data subjects can have data in multiple columns.
Solution
The correct statements are:
- Long data subjects can have multiple rows that hold the values of subject attributes.
- Wide data subjects can have data in multiple columns.
Here's why:
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Long data, also known as "stacked" or "record" data, is a data structure where each subject or case can have multiple rows, each holding different values of subject attributes. This format is often used when dealing with time-series data or when a subject has multiple measurements.
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Wide data, on the other hand, is a data structure where each subject or case is represented by a single row, with multiple columns holding the values of subject attributes. This format is often used in data sets where each subject has a unique set of attributes.
The statements "Wide data subjects can have multiple rows that hold the values of subject attributes" and "Long data subjects can have data in multiple columns" are incorrect because they mix up the definitions of wide and long data.
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