Strategies for Handling Missing Data

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The strategy for handling missing data largely depends on the nature of your data and the intended analysis. Let’s look at some of the strategies to handle missing data.

We’ll cover the following strategies:

Strategy 1: Deletion
Strategy 2: Imputation Techniques
Strategy 3: Using Algorithms that Support Missing Values
Strategy 4: Predictive Modeling (Regression Imputation)
Strategy 5: Multivariate Imputation