Data Visualization and D3.js Newsletter Issue 79 Weekly Data Visualization and D3.js Newsletter

Hi Friends -

Welcome to the seventy-ninth issue of's Weekly Newsletter

Onwards to this week's links...


  • A Look Under The Hood Of Online Data Visualization
    What follows is an abridged version of my OpenVis Conference presentation—a glimpse at the process and guiding philosophy behind data visualizations for Scientific American. For the full program (videos are forthcoming), see the conference website. For thoughts from the meeting, see this storify list of my tweets, or search #OpenVisConf on Twitter.
  • Quads - Computer Art Based On Quadtrees
    The program targets an input image. The input image is split into four quadrants. Each quadrant is assigned an averaged color based on the colors in the input image. The quadrant with the largest error is split into its four children quadrants to refine the image. This process is repeated N times. (Great demo!)

Data Visualization Reading and Videos

  • Interview With Data Visualiser Ri Liu
    I spoke with Ri Liu from Pitch Interactive, an interactive and data visualization studio based in California. The studio is best known for its interactive detailing the victims of every known drone attack in Pakistan. In her spare time, Ri recently created We Can Do Better, which is a visualisation of gender disparity in engineering teams in the tech industry...
  • Introducing The Data Visualization Checklist
    This post has been a long time coming. Stephanie Evergreen and I knew some time ago that evaluators and social scientists had a thirst for better graphs, a clear understanding of why better graphs were necessary, but they lacked efficient guidance on how, exactly, to make a graph better. Introducing the Data Visualization Checklist.
  • 5 Comprehensive DataViz Catalogues For Journalists And Designers
    Every designer knows the problem: where to look for inspiration and new forms of visualization? As available data and visualization tools evolve, this question is becoming increasingly relevant for data journalists as well...These five data visualization catalogs feature and categorize the best projects out there.

D3.js Reading and Videos

  • Angular-NVD3
    An AngularJS directive for NVD3 re-usable charting library (based on D3). Easily customize your charts via JSON API.
  • Interactive Maps With D3.js, Three.js, And Mapbox
    This article is an extension of two of my previous articles on D3.js and Three.js that can be found here and here. Below, I'll go into more depth about how the examples are produced and some of the roadblocks I encountered in putting these demos together, but for more background on the general process it may be good to look at the first article in this series: D3.js, Three.js and CSS 3D Transforms.
  • World Airports Voronoi
    Each region is closer to a particular airport than any other. This partitioning of the sphere is called a spherical Voronoi diagram, and was calculated by d3.geo.voronoi, which is currently under development. Visualizations also include Most Remote Point and Most Remote Airport.
  • Maze Tree
    This maze is a uniform spanning tree generated by Wilson’s algorithm. To illustrate this point, the maze is transformed into a Reingold–Tilford tree layout.
  • 5 Reasons To Learn D3
    D3.js is all the buzz among designers and developers making data visualizations on the web. But why?

Hope that you had a great past week and that next week is even better!

Wishing you the best, 
Sebastian Gutierrez

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