When it comes to working with data in a tabular form, most people reach for a spreadsheet. That’s not a bad choice: Microsoft Excel and similar programs are familiar and loaded with functionality for ...

From quick imports to automated formulas, mastering CSV handling can save you hours and keep your data clean. Whether you’re using pandas in Python or Excel’s new IMPORTCSV, there’s a faster, smarter ...

You don't need to be a data scientist to use Pandas for some basic analysis. Traditionally, people who program in Python use the data types that come with the language, such as integers, strings, ...

Python has become the go-to tool for turning raw information into actionable insights, thanks to its rich ecosystem of libraries like Pandas, NumPy, and Matplotlib. From cleaning messy datasets to ...

In December 2019 my InfoWorld colleague Sharon Machlis wrote an article called “How to merge data in R using R merge, dplyr, or data.table.” Sharon is a whiz at R programming, and analytics in general ...

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 ...