One way to detect and remove outliers from a dataset is using z-score, a measure of how many standard deviations a value is away from the mean. In this article, you will learn how to use z-score to ...

Outliers are data points that deviate significantly from the rest of the data set. They can be caused by measurement errors, data entry errors, sampling errors, or natural variability. In statistical ...

Python Outlier Detection (PyOD) PyOD is a comprehensive and scalable Python toolkit for detecting outlying objects in multivariate data. This exciting yet challenging field is commonly referred as ...

Statistical process control over large Parquet datasets, powered by DuckDB. Point it at a bucket of date-partitioned Parquet files, tell it which column is the timestamp, which columns define the ...