Databot is an experimental alternative to querychat that works with R or Python. And it’s now available as an add-on for the ...

In today's data-driven world, statistical analysis plays a critical role in uncovering insights, validating hypotheses, and driving decision-making across industries. R, a powerful programming ...

In this article, we review four software packages for implementing propensity score analysis in R: Matching, MatchIt, PSAgraphics, and twang. After briefly discussing essential elements for propensity ...

This online data science specialization is designed for anyone interested in learning how to program in R. You will learn the basics of R, including imputing data, performing basic analysis, graphing, ...

Leveraging AI to help analyze and visualize data gathered from a variety of data sets enables data-driven insights and fast analysis without the high costs of talent and technology. In today's ...

This article is adapted from an edition of our Off the Charts newsletter originally published in October 2021. Off the Charts is a weekly, subscriber-only guide to The Economist’s award-winning data ...

Java can handle large workloads, and even if it hits limitations, peripheral JVM languages such as Scala and Kotlin can pick up the slack. But in the world of data science, Java isn't always the go-to ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...