A quiet revolution is reshaping enterprise data engineering. Python developers are building production data pipelines in ...

The advantage of Python is that you can apply operations to larger datasets with hundreds, even thousands, of data points ...

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 ...

Douwe Osinga and Jack Amadeo were working together at Sidewalk Labs, Alphabet’s venture to build tech-forward cities, when they arrived at the conclusion that most spreadsheet software doesn’t scale ...

Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot component that works with the Shiny web framework and is compatible with R and ...

What if the tools you already use could do more than you ever imagined? Picture this: you’re working on a massive dataset in Excel, trying to make sense of endless rows and columns. It’s slow, ...

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your toolkit. Python’s rich ecosystem of data science tools is a big draw for ...

The adjusted r-squared is helpful for multiple regression and corrects for erroneous regression, giving you a more accurate ...