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 ...

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 ...

This article is adapted from an edition of our Off the Charts newsletter originally published in March 2021. It is being published to commemorate five years of Off the Charts—a weekly, subscriber-only ...

Comparing die test results with other die on a wafer helps identify outliers, but combining that data with the exact location of an outlier offers a much deeper understanding of what can go wrong and ...

Figure 1 Outlier. An Outlier is a data point or two that lie outside the norm. Source: Courtesy of Shutterstock Outliers can be annoying. A single data point or two that lie outside of the norm can ...

A good way to understand outlier data and see where this article is headed is to take a look at the screenshot of a demo program in Figure 1. The demo uses a small text file where each line represents ...