From 1992 to 2016, Ethiopia cut its stunting rate from 67 to 38 percent. The Bill & Melinda Gates Foundation has launched an Exemplars in Global Health program to learn from positive outliers like ...

This article explains how to programmatically identify and deal with outlier data (it's a follow-up to "Data Prep for Machine Learning: Missing Data"). Suppose you have a data file of loan ...

After previously detailing how to examine data files and how to identify and deal with missing data, Dr. James McCaffrey of Microsoft Research now uses a full code sample and step-by-step directions ...

Z-score is a standard measurement used in statistical analysis that looks at data with a normal distribution. It provides a standard unit of measurement for placing your data on a common scale. It ...

Outliers have the potential to skew analysis when they aren’t properly accounted for. Addressing outliers, specifically in trade cost analysis (TCA) data, is crucial for traders because it ensures the ...