Data Visualization and D3.js Newsletter Issue 9 Weekly Data Visualization and D3.js Newsletter

Hi Friends -

Welcome to the ninth issue of's Weekly Newsletter .

Onwards to this week's links...


  • dc.js v1.1 Released
    dc.js is a javascript charting library with native crossfilter support and allowing highly efficient exploration on large multi-dimensional dataset (inspired by crossfilter's demo). It leverages the D3.js engine to render charts in css friendly svg format.

Data Visualization Reading and Videos

  • sun/shade
    The sun/shade data visualization work is a representation of the sunlight in Helsinki over a year, measured by a solar radiation sensor and re-represented though code and a lasercutter into Finnish wood.
  • User Interfaces for Big Data Visualization
    Visualization is great way to understand data, but it breaks down when the data gets big. Simply plotting everything to the screen won’t work, because there isn’t enough screen real estate, interactions slow to a crawl, and human working memory isn’t up to the task anyway.
  • US Bank Closures over the Last 12 Years
    We used and Google’s Geo Chart to quickly create an interactive visualization that showed specific banks per state that closed over a 12 year period. The user can also select a specific year to view specific bank closers per state within the specific chosen year.

D3.js Reading and Videos

  • Interactive Multi-dimensional Scaling Visualisation using D3.js
    The position of the cities are chosen so that the distances between points approximate the road distances in the dataset. The location of the points is computed by Multidimensional Scaling. In this interactive graph you can hover over a city to visualise the true road distances to its neighbours.
  • D3 Component Data Model
    I recently had this situation where a JSON Array needed to be populated by two instances of the same D3 component that I had built, at virtually the same time, using two different datasets...
  • SVG vs Canvas vs HTML, what’s the performance now, in 2013?
    I wanted to compare performance “as it” without the calculation part using another take on the SVG + Canvas Plot, but this time includes a third group of nodes: divs. Black nodes are drawn with HTML5 Canvas, blue nodes in SVG, and red nodes as divs. Zoomable and Pannable.


  • Data Visualization Web Designer - CyberCoders (New York, USA)
    As a core member of our product team, your role will be to create data visualizations which graphically and intuitively answer important personal questions, ensuring that complex data-driven principles are presented in a clean, simple and intuitive interface.

That's the news that's fit for sharing this week.  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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