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 ...

The Python programming language offers distinct and powerful advantages of ease of use, flexibility, and convenience in a test and measurement setting. To see how, follow this example of measuring ...

Discover how you can come up with powerful visualization and data stories by piggybacking on other popular data visualizations.

Identifying causal relationships from observational data is not easy. Still, researchers are often interested in examining the effects of policy changes or other decisions. In those analyses, ...

Discover how Python in Excel transforms data analysis with advanced features. Is it worth the hype? Find out if it’s right for your workflow.

Want to get better performance with Python? Here's how to use NumPy to toe the 'invisible line' of data and memory transfers and optimize efficiency.

Interested in learning Python? Here are some beginner-friendly ways to use it for automating technical SEO and data analysis work.

That’s not to say tools don’t matter; today’s data analyst absolutely needs to be able to use at least a few of the most common tools such as Excel, SQL, Tableau, Power BI, R or Python.