How do I handle missing data

Keywords: missing data, data imputation, data cleaning, handling NaN values
Description: This guide provides an overview of how to effectively handle missing data in datasets, including strategies such as data imputation and the removal of incomplete entries.
<?php // Sample data array with missing values $data = [1, 2, null, 4, 5, null, 7]; // Function to handle missing data by imputing the mean function imputeMissingValues($data) { $mean = array_sum(array_filter($data)) / count(array_filter($data)); foreach ($data as &$value) { if (is_null($value)) { $value = $mean; } } return $data; } // Handling the missing data $cleanedData = imputeMissingValues($data); print_r($cleanedData); // Output: [1, 2, 3.8, 4, 5, 3.8, 7] ?>

Keywords: missing data data imputation data cleaning handling NaN values

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