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 ...

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 ...

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 is a popular general-purpose language, but it's increasingly favored for statistics, data analysis, and data science. If you have a basic knowledge of statistics, how can you apply that to ...

Overview Beginner-friendly books simplify Python, R, statistics, and machine learning concepts.Practical examples and ...

What if you could turn Excel into a powerhouse for advanced data analysis and automation in just a few clicks? Imagine effortlessly cleaning messy datasets, running complex calculations, or generating ...

This story contains interviews with Facebook engineering manager Burc Arpat, AppNexus ad-quality engineering director Dave Himrod, and Pandas creator Wes McKinney and Pandas developer Jeff Reback. But ...

Have you ever found yourself wrestling with Excel formulas, wishing for a more powerful tool to handle your data? Or maybe you’ve heard the buzz about Python in Excel and wondered if it’s truly the ...