How should you configure the Clean Missing Data module? To answer, select the appropriate options in the answer area.

Last Updated on October 22, 2021 by Admin 3

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You need to replace the missing data in the Accessibility​To​​ Highway columns.

How should you configure the Clean Missing Data module? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

DP-100 Designing and Implementing a Data Science Solution on Azure Part 08 Q12 151 Question
DP-100 Designing and Implementing a Data Science Solution on Azure Part 08 Q12 151 Question
DP-100 Designing and Implementing a Data Science Solution on Azure Part 08 Q12 151 Answer
DP-100 Designing and Implementing a Data Science Solution on Azure Part 08 Q12 151 Answer

Explanation:

Box 1: Replace using MICE
Replace using MICE: For each missing value, this option assigns a new value, which is calculated by using a method described in the statistical literature as “Multivariate Imputation using Chained Equations” or “Multiple Imputation by Chained Equations”. With a multiple imputation method, each variable with missing data is modeled conditionally using the other variables in the data before filling in the missing values.

Scenario: The AccessibilityToHighway column in both datasets contains missing values. The missing data must be replaced with new data so that it is modeled conditionally using the other variables in the data before filling in the missing values.

Box 2: Propagate
Cols with all missing values indicate if columns of all missing values should be preserved in the output.

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