Modern business intelligence demands speed, and utilizing AI tools for Excel is the ultimate way to hyper-charge your data workflows this year.

Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

Google Gemini can now generate interactive visualizations directly in chat, letting users rotate 3D molecules, simulate physics systems, and tweak variables with sliders, all without leaving the ...

Note: This is a two-day, 3-hr workshop on March 25, 1–4 p.m. (Part A) AND March 26, 1–4 p.m. (Part B). You only need to register once, but are required to attend both. Prerequisite: Data Visualization ...

Abstract: Existing data visualization tools predominantly rely on manual development or traditional software solutions to translate raw data into meaningful visual representations. However, these ...

Anthropic is rolling out a significant upgrade to its AI assistant Claude, adding support for inline visualizations in responses. Instead of relying solely on text explanations, Claude can now ...

The world of data visualization can leave you to choose between expensive software or difficult-to-learn software. lessR simplifies the process of obtaining professional-quality data visualizations at ...

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

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 ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. This paper presents ZacrosTools, a free and open-source Python library designed to ...

Google Search’s AI Mode now features a new data visualization option. When analyzing financial data, such as stock performance, the tool’s ability to generate interactive graphs and charts is ...