While databases offer very efficient ways to store data and query them using query languages, the most flexible way of data processing is writing your own program to manipulate data. In many cases, ...

This article is not about ethics, privacy, security, ownership, or corporate governance — I am going to circumvent all of this here by using some made-up data relating to supermarket sales: Here, I ...

These tricks show how AI tools, new import formulas, and classic features improve productivity. Excel has outlasted many tech trends, and in the age of AI, it remains very much in the mix. While new ...

pandas is the premier library for data analysis in Python. Here are some advanced things I like to do with pandas DataFrames to take my analysis to the next level. Change the index of a DataFrame On a ...

In our earlier article, we demonstrated how to build an AI chatbot with the ChatGPT API and assign a role to personalize it. But what if you want to train the AI on your own data? For example, you may ...

Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot component that works with the Shiny web framework and is compatible with R and ...

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, ...

Thanks for all your contributions! At this time I'm not continuing development on the Python version of this tool. I'm happy to point to your projects if you decide to take over development on the ...