A healthcare data analyst notices that one data set in the column for BloodPressure contains several outliers that need to be replaced with meaningful values. Which of the following data…

The correct answer is B. Impute. Imputation is the process of replacing missing or anomalous data points with substituted values, often derived from the dataset's statistical properties, such as the mean, median, or mode. This technique helps maintain the dataset's integrity by ensuring that analyses are not…

Data Governance, Quality, and Controls

Question

A healthcare data analyst notices that one data set in the column for BloodPressure contains several outliers that need to be replaced with meaningful values. Which of the following data manipulation techniques should the analyst use?

Options

ARecode
BImpute
CAppend
DReduction

How the community answered

(57 responses)

A
4% (2)
B
93% (53)
C
2% (1)
D
2% (1)

Explanation

Imputation is the process of replacing missing or anomalous data points with substituted values, often derived from the dataset's statistical properties, such as the mean, median, or mode. This technique helps maintain the dataset's integrity by ensuring that analyses are not biased by missing or extreme values.

Topics

#Data preprocessing#Outlier handling#Imputation#Data quality

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