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 ...

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, ...

If you want to analyze data in Python, you'll want to become familiar with pandas, as it makes data analysis so much easier. The DataFrame is the primary data format you'll interact with. Here's how ...

Still using Excel for your data analysis? Learn how to leverage Python so you can work with larger datasets and automate repetitive tasks. Learning to code, whether with Python, JavaScript, or another ...

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, ...

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 ...