GitHub - Niekes/d3-3d: d3-3d is a powerful JavaScript library designed for 3D visualizations, specifically tailored to work seamlessly with d3.js. This library enables the projection of 3D data onto web browsers, making it an essential tool for developersYou signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert
Markvis - make visualization in markdown
make visualization in markdown
billboard.js
billboard.js Re-usable, easy interface JavaScript chart library, based on D3 v4+. Star billboard.js, the "chart" library The name "billboard" comes from the famous "billboard chart" which everybody knows. billboard.js provides the easiest way to create a 'chart' instantly. Quick Start Guide Step 1. Load billboard.js and D3.js <!-- Step 1) Load D3.js --> <script src="https://d3js.org/d3.v6.min.js">
Migrating to Version 4 of D3, part 1
At a recent Bay Area D3 User Group meetup, I gave a short talk on migrating to the new version of D3. I highlighted some of the changes in the version of D3 and shared a simple case study, with the hopes of helping others get started out. This article is a slightly modified and expanded version of my talk. There are so many changes in the new version of D3 that it’s just not possible to cover them
Interactive Data Visualization of Geospatial Data using D3.js, DC.js, Leaflet.js and Python // Adil Moujahid // Bridging Tech and Art
Interactive Data Visualization of Geospatial Data using D3.js, DC.js, Leaflet.js and Python // tags python javascript data visualization d3.js dc.js leaflet.js The goal of this tutorial is to introduce the steps for building an interactive visualization of geospatial data. To do this, we will use a dataset from a Kaggle competition to build a data visualization that shows the distribution of mobil
D3.js Boxplot with Axes and Labels
README.md A box-and-whisker plot with axes. Based on Mike Bostock's implementation. Instead of using individual svg elements as in Mike's implementation, here all boxplots are rendered with in one root element. This makes it easy to add axes. Further differences between the two implementations are: visibility of boxplot labels can be switched with the labels variable CSV files are supported in whi
Vote prediction and its visualization - ELIF LAB - Data analysis and visualization
To predict the outcome of a vote and to visualize it in a straightforward way we use a label propagation algorithm and a dynamic d3.js infographic. The vote prediction is related to several political variables that are not publicly available, label propagation allows us to embed the user’s knowledge in order to improve the result. Watch the video: Like it? Share it! --- - WordPress Theme by Kadenc
d4 demo
d4 — Declarative Data-Driven Documents What is it? d4 is an experiment in using React to produce data-driven documents (ala d3) that are performant and understandable. This is not a library, but rather a demonstration that it's possible (and preferable) to use React instead of the core of d3. Why? d3 can produce fantastic results. Look no further than Mike Bostock's blocks for examples. Unfortunat
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Spring Bootã«ã‚ˆã‚‹APIãƒãƒƒã‚¯ã‚¨ãƒ³ãƒ‰æ§‹ç¯‰å®Ÿè·µã‚¬ã‚¤ãƒ‰ 第2版 何åƒäººã‚‚ã®é–‹ç™ºè€…ãŒã€InfoQã®ãƒŸãƒ‹ãƒ–ック「Practical Guide to Building an API Back End with Spring Bootã€ã‹ã‚‰ã€Spring Bootを使ã£ãŸREST API構築ã®åŸºç¤Žã‚’å¦ã‚“ã 。ã“ã®æœ¬ã§ã¯ã€å‡ºç‰ˆæ™‚ã«æ–°ã—ãリリースã•ã‚ŒãŸãƒãƒ¼ã‚¸ãƒ§ãƒ³ã§ã‚ã‚‹ Spring Boot 2 を使用ã—ã¦ã„る。ã—ã‹ã—ã€Spring Boot3ãŒæœ€è¿‘リリースã•ã‚Œã€é‡è¦ãªå¤‰...
Learnings from a d3.js addict on starting with canvas
In this blog I’d like to take you through my learnings from last week when I finally started with canvas. I hope that, after reading this blog, I will have convinced you that canvas is a really good visualization option if you need better performance than d3.js can give you and that it’s actually not that difficult to learn canvas. Last September I made a data visualization project about the age d
rtfmanual.io
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Fantasy Map Generator
Observable: Build expressive charts and dashboards with code
Foo Fighters Celestial Navigator
GitHub - veltman/flubber: Tools for smoother shape animations.
https://peterbeshai.com/brushing-in-scatterplots-with-d3-and-quadtrees.html
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