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.

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 ...

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 ...

Some years back, on a New Year’s morning in the mid-1980s, I poured myself a cup of coffee, sat down with my goal-setting notebook, and visualized living in a house in the hills above Santa Barbara.

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 ...

Picture yourself printing out this post to read later. Imagine the place you will sit while reading it. What do you see on the walls? What background sounds are in the room? Feel the weight and ...