Concept explainers
a.
Explain whether the operation on the Burger King items data is aggregation, filtering, merging, appending, deduping, or feature extraction.
a.

Answer to Problem 1E
The operation performed on the Burger King items data is filtering.
Explanation of Solution
The Burger King items data is separated into items that contain meat, and that do not contain meat.
Aggregation:
Aggregation is the operation, in which, the grouping based on the values of an identifying variable is used to combine information for items.
Filtering:
Filtering is the operation, in which, a criterion is used to select a subset of all the items in the data set, on which, the analyses are performed.
Merging:
Merging is the operation, in which, an index variable is used to uniquely identify and match the data in two data files, which consist of the same items, but are recorded on different variables or a different order.
Appending:
Appending is the operation, in which, additional or new cases are added to the existing data set, where the variables recorded for the new items are the same as that in the existing data set.
Deduping:
Deduping is the operation, in which, duplicate records are removed from the data set, to ensure that the final data set consists only of unique items.
Feature extraction:
Feature extraction is the operation, in which, new variables are constructed by using mathematical
The Burger King items data contains a variable that determines whether an item contains meat. The data set is divided into two subsets based on the meat-containing criterion and the analyses are performed separately on the two subsets. Evidently, filtering has been performed on the data set.
Thus, the operation performed on the Burger King items data is filtering.
b.
Explain whether the operation on the McDonald’s menu items data is aggregation, filtering, merging, appending, deduping, or feature extraction.
b.

Answer to Problem 1E
The operation performed on the McDonald’s menu items data is aggregation.
Explanation of Solution
The McDonald’s menu items data is combined for items that contain meat, and that do not contain meat.
The McDonald’s menu items data contains a variable that determines whether an item contains meat. The two subsets based on the meat-containing criterion are combined and the analyses are performed on the combined data set. Evidently, aggregation has been performed on the data set.
Thus, the operation performed on the McDonald’s menu items data is aggregation.
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Chapter 24 Solutions
Stats
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