Informatics Practices
Assertion. Data aggregation produces a summary statistics of a dataset.
Reason. Data aggregation summarizes data using statistical aggregation functions.
- Both A and R are true and R is the correct explanation of A.
- Both A and R are true but R is not the correct explanation of A.
- A is true but R is false.
- A is false but R is true.
Python Pandas
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Answer
Both A and R are true and R is the correct explanation of A.
Explanation
Data aggregation produces a summary statistic of a dataset because it involves combining and summarizing data from multiple sources or data points, and then calculating a single summary statistic or a set of summary statistics. This process utilizes statistical aggregation functions, such as sum, average, count, minimum, and maximum.
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Reason. A median divides a distribution in 2 quantiles while a quartile divides a distribution in 4 quantiles.
- Both A and R are true and R is the correct explanation of A.
- Both A and R are true but R is not the correct explanation of A.
- A is true but R is false.
- A is false but R is true.
Assertion. In a dataset, there can be missing values that cannot contribute to any computation.
Reason. In a dataset, NULL, NaN or None are considered the missing values.
- Both A and R are true and R is the correct explanation of A.
- Both A and R are true but R is not the correct explanation of A.
- A is true but R is false.
- A is false but R is true.
Assertion (A). The output of addition of two series will be NaN, if one of the elements or both the elements have no value(s).
Reason (R). While performing mathematical operations on a series, by default all missing values are filled in with 0.
- Both A and R are true and R is the correct explanation of A.
- Both A and R are true but R is not the correct explanation of A.
- A is true but R is false.
- A is false but R is true.