Airfoil – Bartosz Ciechanowski

Interactive article explaining the physics of an airfoil and what makes airplanes fly

Welcome | Superset

Community website for Apache Superset™, a data visualization and data exploration platform

Matrix Product Interpretations and Visualizations

Matrix Product Interpretations and Visualizations: Learn Linear Algebra from scratch. Build a foundation for Machine Learning and other key technologies.

Drawing 10 Million Points With ggplot: Clifford Attractors

For me, mathematics cultivates a perpetual state of wonder about the nature of mind, the limits of thoughts, and our place in this vast cosmos (Clifford A. Pickover - The Math Book: From Pythagoras to the 57th Dimension, 250 Milestones in the History of Mathematics) I am a big…

Matplotlib: Make Your Plotting Life Easier with rcParams

Consistently beautiful plots with less code and minimal effort

Grow a Treemap with Python and Plotly Express

Turn a government PDF into a financial planning tool

A Periodic Table of Visualization Methods

Inside the Matrix: Visualizing Matrix Multiplication, Attention and Beyond

Use 3D to visualize matrix multiplication expressions, attention heads with real weights, and more.

Creating Incredible Decision Tree Visualizations with dtreeviz

How to visualize decision tree models with this useful library

✚ Visualization Tools and Learning Resources – March 2023 Roundup

This is the good stuff for March.

Designing Beautiful Tables in R

Learn how to design beautiful tables in R! Join our workshop on Designing Beautiful Tables in R which is a part of our workshops for Ukraine series. Here’s some more info: Title: Designing Beautiful Tables in R Date: Thursday, April 27th, 18:00 – 20:00 CEST (Rome, Berlin, Paris…

Configuring the spyrograph trace method to explore stunning geometric visua

DISCLAIMER: This blog post was written by a human with the help of AI Hypotrochoids and epitrochoids...

voila · PyPI

Voilà turns Jupyter notebooks into standalone web applications

3 Unique Charts You Wouldn’t Think Were Created with Matplotlib

Utilising Python’s Matplotlib to Create Advanced Data Visualisations

50 chart types for data visualization explained

Charts are a powerful tool for data visualization, but with so many chart types available, it can be...

Erich's Packing Center

How to make 40 interactive plots to analyze your machine learning pipeline

A quick guide on how to make clean-looking, interactive Python plots to validate your data and model

Using PyGWalker to Enhance Your Jupyter Notebook EDA Experience

An Introduction to the PyGWalker Library for Easy Data Visualisation

kauffecup/react-bubble-chart: A React+D3 animated bubble chart

A React+D3 animated bubble chart.

Creating an interactive SVG: The circle of fifths

Written by Mads Stoumann✏️ Not so long ago, these beautiful posters showed up in an advertisement on...

3 Simple Ways to Create a Waterfall Plot in Python

Learn how to quickly create a presentation-ready plot to aid your data storytelling

How to Create Beautiful Waffle Charts for Data Visualisation in Python

A Great Alternative to Pie Charts for Data Visualisation

Data Visualization

A practical introduction.

Unimpressed With Your Scatter and Bar Plots? Give These Four Classic Altern

Better alternatives to scatter, bar, and line plots.

red-data-tools/YouPlot: A command line tool that draw plots on the terminal.

A command line tool that draw plots on the terminal. - red-data-tools/YouPlot

How to draw ideas - Ralph Ammer

Four ways how to use drawing to get more ideas: Study, Explore, Develop, and Show. They will boost your creativity.

aBiogenesis on Behance

Obsidian Canvas - Obsidian

Obsidian Canvas gives you infinite space to research, brainstorm, diagram, and lay out your ideas.

Orthographic shading / D3 | Observable

Step 1. Create a grid Use d3.geoGraticule10 to create lines of constant longitude and latitude. Step 2. Apply clipping Set projection.clipAngle to 90° to show only the front hemisphere. Stroke the outline of the sphere to better separate the globe from the background. Step 3…

Adaptive Sampling

D3’s projections use adaptive sampling to increase the accuracy of projected lines and polygons while still performing efficiently. Without sampling, only the input vertices of polygons are projected. This results in the artifacts (visible above) due to projected lines becoming…

D3.js - Data-Driven Documents

The JavaScript library for bespoke data visualization

11 Less Used but Important Plots for Data Science

Some Unique Data Visualization Techniques for Getting High-Level Insight into the Data

The Data Cards Playbook: A Toolkit for Transparency in Dataset Documentatio

Posted by Mahima Pushkarna, Senior Interaction Designer, and Andrew Zaldivar, Senior Developer Relations Engineer, Google Research As machine learn...

5 Ways to use a Seaborn Heatmap (Python Tutorial)

Using a heatmap to visualise a confusion matrix, time-series movements, temperature changes, correlation matrix and SHAP interaction values

5 Ways to Transform Your Seaborn Data Visualisations

Simple and easy pieces of code to enhance your seaborn scatter plots

Step Up Your Game in Making Beautiful Choropleth Maps

A guide on how to make different types of maps using Python

Sound – Bartosz Ciechanowski

Interactive article explaining how sound works.

Hands-on Guide to Create beautiful Sankey Charts in d3js with Python.

The Sankey chart is a great way to discover the most prominent contributions just by looking at how individual items flow across states.

12 Essential Visualizations and How to Implement Them, Part 2

We look at how to create the 12 most useful graphs and charts in Python and Streamlit

How to Create Storytelling Moving Bubbles Charts in d3js with Python.

The MovingBubble chart is one of those mind-blowing charts to look at. Learn how to create them using your own data set and Python!

19 Examples of Merging plots to Maximize your Clustering Scatter plot

Mix and match plots to get more information from a scatter plot

Fundamentals of Data Visualization

A guide to making visualizations that accurately reflect the data, tell a story, and look professional.

D3Blocks: The Python Library to Create Interactive and Standalone D3js Char

Create interactive, and stand-alone charts that are built on the graphics of d3 javascript (d3js) but configurable with Python.

How to Use UMAP For Much Faster And Effective Outlier Detection

Let’s catch those high-dimensional outliers

https://www.einblick.ai/blog/problems-with-notebooks-msftpaper/

rbokeh: How To Create Interactive Plots In R

Effective interactive data visualizations in R

9 Visualizations with Python that Catch More Attention than a Bar Chart

Creating eye-catching graphs with Python to use instead of bar charts.

Developer Center | Targomo Developers!

Build the next generation of Location Intelligence applications with the Targomo API

Isochrone Map Generator: How to Create Travel Time Maps | Blog

Learn how to create isochrones for different transport modes with our free isochrone map generator, Isochrone API or software plugins.

Stream Graphs Basics with Python's Matplotlib

The good-looking cousin of stacked area charts