Applied

Get a primer on percentile approximations, why they're useful for analyzing large time-series data sets, and how we created the percentile approximation hyperfunctions to be efficient to compute, parallelizable, and useful with continuous aggregates and other advanced TimescaleDB features.

Creating Quality Control Charts using matplotlib library

How to do statistical testing of the Net Promoter Score. An informative article by Displayr's Justin Yap, including practical examples and code.

Recently we argued that confidence intervals are a poor choice for analyzing staged rollout experiments. In this article, we show a better way: a Bayesian approach that gives decision-makers the answers they really need. Check out our interactive Streamlit app first, then the article for the details.

Survival analysis has been a standard tool for decades in clinical research, but data scientists in other domains have mostly ignored it. Here are some applications for which you might use survival analysis, to jump-start your creative data science engine.

Step-by-step instructions, with screenshots, on how to use the Kaplan-Meier method in SPSS. This includes the SPSS Statistics output and how to interpret the output.