[Randall Munroe] certainly understands the power of graphical representation of data. The humorous plots in his xkcd webcomic are one of the favorite parts for many readers. Their distinctive, ...

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your ...

These simple operations and others are why NumPy is a building block for statistical analysis with Python. NumPy also makes ...

Overview PyCharm, DataSpell, and VS Code offer strong features for large projects.JupyterLab and Google Colab simplify data ...

If you use Excel 40 hours a week (and those are the weeks you are on vacation), welcome to the MrExcel channel. Home to 2,400 ...

Posit’s ggbot2 is a voice assistant for ggplot2. Tell it what you want in a spoken conversation, and it will generate plots ...

You’ve generated a ton of data. How do you analyze it and present it? Sure, you can use a spreadsheet. Or break out some programming tools. Or try LabPlot. Sure, it is sort of like a spreadsheet. But ...

Let's pick a lab. Maybe it is a lab that looks at masses oscillating on a spring. In this lab, students could put different masses on the end of a spring and let it oscillate up and down.