The bigger your dataset, the greater your chance of stumbling into an outlier. It’s practically a certainty you’ll find isolated, unexpected, and possibly bizarre data you never expected to see in ...

Skewness measures the symmetry of your data. It can indicate whether or not your data adheres to a normal distribution. It’s ...

Outliers deviate from the norm—significantly enough to give marketers pause. But outliers can tell us more about our data, how we gather it, and what is in it, if we examine the entire data set ...

Data analytics deals with making observations with various data sets, and trying to make sense of the data. When dealing with very large data sets, automated tools must be used to find patterns and ...

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 ...

OAKLAND, CA, Oct. 7, 2020 – With its automated business analysis (ABA) platform, Outlier discovers and elevates unexpected changes in consumer behavior, customer demographics and buying patterns. For ...

The Data Science Lab Data Prep for Machine Learning: Outliers After previously detailing how to examine data files and how to identify and deal with missing data, Dr. James McCaffrey of Microsoft ...