Overview: Python supports every stage of data science from raw data to deployed systemsLibraries like NumPy and Pandas simplify data handling and analysisPython ...

In this post, we’ll highlight a few of our favorite visuals from 2025 and walk through how we made them and what makes them successful.

Master the art of visualizing histograms and normal distributions in Web VPython! This guide teaches you how to create dynamic, interactive 3D plots to enhance your data analysis and physics ...

Data Formulator enables users to iterate with AI to create rich data visualizations. Users define their visualization goals using blended user interface interactions and natural language inputs, while ...

A one-slide representation is the best way to win over employees and investors. by João Cotter Salvado and Freek Vermeulen On December 1, 2014, Cypress Semiconductor announced that it was acquiring ...

Add a description, image, and links to the matplotlib-jupyter-notebook-data-visualization topic page so that developers can more easily learn about it.

Abstract: We investigate the concept of Augmented Dynamic Data Physicalization, the combination of shape-changing physical data representations with high-resolution virtual content. Tangible data ...

Data can often feel overwhelming—rows upon rows of numbers, scattered information, and endless spreadsheets that seem to blur together. If you’ve ever stared at a dataset wondering how to make sense ...

This project demonstrates various data visualizations using Matplotlib in Python. Created bar charts, line graphs, scatter plots, and pie charts. Used real-world data for meaningful insights. Applied ...

Businesses have relied on experiences and intuition-based decisions from senior leaders for growth for decades. These methods, while still being highly valuable, have been augmented by data-driven ...