What is the meaning if we describe a logical data format as being wide rather than long?Group of answer choicesThe dataset has many rows, which differ in the values reported for one or more aspectsThe dataset has several columns that are related, and vary in some aspect (eg Price_2018, Price_2019, Price_2020 are columns that vary in the year aspect)The dataset has a single value, which is a nested dictionaryThe dataset has several rows and several columns, and some value is contained in each row-column location
Question
What is the meaning if we describe a logical data format as being wide rather than long?Group of answer choicesThe dataset has many rows, which differ in the values reported for one or more aspectsThe dataset has several columns that are related, and vary in some aspect (eg Price_2018, Price_2019, Price_2020 are columns that vary in the year aspect)The dataset has a single value, which is a nested dictionaryThe dataset has several rows and several columns, and some value is contained in each row-column location
Solution
The description of a logical data format as being "wide" rather than "long" typically refers to the dataset having several columns that are related, and vary in some aspect. For example, Price_2018, Price_2019, Price_2020 are columns that vary in the year aspect.
In a "wide" format, each subject's repeated responses will be in a single row, and each response is in a separate column. In contrast, a "long" format data set (or stacked data set) has a row for each time point per subject. Here, you have fewer columns and more rows.
So, the correct answer is: The dataset has several columns that are related, and vary in some aspect (eg Price_2018, Price_2019, Price_2020 are columns that vary in the year aspect).
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