Learn how to make the most of Observable JavaScript and the Observable Plot library, including a step-by-step guide to eight basic data visualization tasks in Plot. Built-in reactivity is one of ...
Using Quarto with Observable JavaScript is a great solution for R and Python users who want to create more interactive and visually engaging reports. There’s an intriguing new option for people who ...
From COVID-19 data dashboards and election results to personal finance apps and social media analytics, visual representations of data are increasingly ubiquitous in day-to-day life and in business.
If you have had the opportunity to read any of Walter Isaacson’s biographies on the greatest people in history, you are probably very familiar with Isaacson’s views on art and science and the unique ...
You have full access to this article via your institution. By leveraging various web libraries, such as three.js and D3, ImJoy allows users to build rich and ...
There are a plethora of programs available for data visualization. Some are very simple to use and require no coding, while others are more difficult to learn but offer greater flexibility and ...
This package implements some basic numerical optimization algorithms: Nelder-Mead, Gradient Descent, Wolf Line Search and Non-Linear Conjugate Gradient methods are all provided. Interactive ...
In this @maptimeLex, we (re-)introduce ourselves to the D3 visualization library and explore its integration within a larger web mapping workflow. Drawing upon Andy Woodruff's (@awoodruff) excellent ...
When linguist Lauren Gawne roams the valleys of Nepal documenting endangered Tibetan languages, she takes pains to distinguish each dialect's geographical origin. But when it came to producing maps of ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results