Learn how DROP, REDUCE, LAMBDA, and STACK make Excel arrays update automatically, split text, and stack filtered results ...

Abstract: In this paper, a novel method is proposed for integrating real-time data visualization into Progressive Web Apps (PWAs) using Power BI Embedded. This approach leverages the advanced ...

The advantage of Python is that you can apply operations to larger datasets with hundreds, even thousands, of data points ...

Learn how AI tools can simplify data analysis in just 21 minutes with frameworks, practical examples, and innovative ...

GitHubHero is a Dockerized Python app using FastAPI, Streamlit, and Plotly to analyze and display your language trends and contributions via GitHub GraphQL API This repository serve as a reference ...

This repository serve as a reference guide for creating various types of data visualizations using Python. It will feature over 25 visualizations.

The research fills a gap in standardized guidance for lipidomics/metabolomics data analysis, focusing on transparency and reproducibility using R and Python. The approach offers modular, interoperable ...

Prerequisite: Introduction to Python for Absolute Beginners or some experience using Python. You’ve cleaned and analyzed your data, now learn how to visualize it. Visualizing data is critical for both ...

I don’t use Microsoft Excel all that often, so it remains a bit of a mystery to me. I can enter text and create graphs and that’s basically it. That’s why I’ve set myself a goal to learn one new Excel ...