Time Series

Using Tableau to detect outlying trends and ruptures

Time Series Tableau detects outlying trends using Tabpy. To do that, we are going to get the outliers of a dataset, the change points and a piecewise approximation. For detailled information about the source code, you can look at this article :…


Outlier and Change Point Detection

Outlier and Change Point Detection in Data Integration Performance Metrics

Data integration involves combining data residing in different sources, and providing users with a unified view of them. In this post, we are interested in detecting performance drift of large and complex daily data integration processes performed…


Fitting a logistic curve to time series in Python

In this notebook we are going to fit a logistic curve to time series stored in Pandas, using a simple linear regression from scikit-learn to find the coefficients of the logistic curve. Disclaimer: although we are going to use some COVID-19 data in…