We recently announced Uber Movement Speeds — a dataset of historical street speeds aggregated from anonymized Uber trips to help urban planners and researchers solve complicated urban mobility problems. In addition to providing our web-based exploration tool, we are offering access to the raw speeds data to support a variety…

If you’ve been watching the React ecosystem the past few years, you’ve surely encountered one of the numerous open source reusable component libraries that developers reach for when building apps. …

In each image below, we start with a row of unsorted pixels at the top, and then watch as a sorting algorithm progressively sorts the pixels, eventually arriving at a fully sorted row at the bottom.

Update 9/12/2017–Some of the techniques in this post may be out of date, consider checking out Puppeteer from the Chrome team, which offers an awesome API for screenshots with headless Chrome. Starting with Chrome 57, we can run Chrome as a headless browser on linux servers. Capturing web page screenshots…

TL;DR Check out d3-scale-cluster on Github and npm D3 scales are an immensely useful tool for data visualization and many other applications. In visualization, one common use case is mapping numeric values to a discrete set of colors, as shown in the map below: D3’s quantile and quantize scales are…

Previously published on March 1st, 2014 At Graphiq, D3.js is our weapon of choice for data visualization. One shortcoming we encountered early on when building bar charts was the overlap of long labels on axes created from ordinal scales. …