Overview NumPy and Pandas form the core of data science workflows. Matplotlib and Seaborn allow users to turn raw data into ...

Abstract: The exponential growth of e-commerce has resulted in massive transactional and behavioral datasets, demanding robust analytical methods for actionable insights. This paper introduces a ...

In this tutorial, we create a fully interactive, visually compelling data visualization dashboard using Bokeh. We start by turning raw data into insightful plots, then enhance them with features such ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

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 ...

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, ...

This project analyzes a Personalized Learning Dataset to understand student behavior, academic engagement, and dropout likelihood using Python. It uses data science techniques to extract insights and ...

Abstract: Macromolecular structures have become easily accessible by means of large databases, for example the World Wide Protein Data Bank. Several years ago, existing data in this field of research ...

In my 20 years of experience, I've seen how data centralization and visualization can support strategic decision making by making complex data from multiple sources clear and easy to interpret. This ...