Since the creation of python reading in files has become much easier with each update and with each added package. To work with csv and xlsx files the easiest package is the pandas package because it ...

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 ...

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, ...

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 ...

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 ...

The example files used here can be downloaded by clicking the file name: example1.txt, example1.csv, example1.xlsx. (For text format files, you can copy the content on the webpage and paste it into a ...