Data Visualization and D3.js Newsletter Issue 92 Weekly Data Visualization and D3.js Newsletter

Hi Friends -

Welcome to issue 92 of the Weekly Newsletter

Onwards to this week's links...


  • Data Comes From Anywhere
    An interview with Jer Thorp, a data visualization artist who has worked for the New York Times, Popular Science and other publications. He’s a co-founder of The Office for Creative Research and was involved with the creation of the 9/11 memorial, for which he designed an algorithm that helped arrange the victims’ names in a layout that reflects their relations with each other. to Jer about infographics, data visualization, and why data matters.
  • Visual
    Visual is a Javascript library for data visualization developed by the Statistical Institute of Catalonia (@idescat). It is based on popular open source solutions. Visual offers a simple interface that encapsulates the complexity of these solutions for the most common chart types...

Data Visualization Reading and Videos

  • 10 Significant Visualisation Developments: January To June 2014
    To mark the milestone of each mid-year and end of year I try to take a reflective glance over the previous 6 months period in the data visualisation field and compile a collection of some of the most significant developments. These are the main projects, events, new sites, trends, personalities and general observations that have struck me as being important to help further the development of this field.
  • This Is What A 'Data Selfie' Looks Like
    In the 2013 book Who Owns the Future?,... Jaron Lanier poses a question: can internet users reclaim their data? Instead of giving it away to enrich tech companies, Lanier called for users to sell their data, disrupting the Google and Facebook data mining revenue model. Austin-based artist Laurie Frick's new app FRICKbits, which transform your user data into art, partially fulfills the idea of allowing users to reclaim their own data
  • Data Visualization Rules, 1915
    Right now people in data visualization tend to be interested in their field’s history, and people in digital humanities tend to be fascinated by data visualization. Doing some research in the National Archives in Washington this summer, I came across an early set of rules for graphic presentation by the Bureau of the Census from February 1915. Given those interests, I thought I’d put that list online...

D3.js Reading and Videos

  • d3-svg-legend
    A simple legend created from D3 scales. You can see an example here. Legends have the following options: inputScale(...), cellWidth(...), cellHeight(...), cellPadding(...), units(...), orientation(...), and labelFormat(...)...
  • Data Visualizations With Linked Views Using Model.js, D3.js, Bootstrap, And Crossfilter.js
    An example of linked views using model.js. Click and drag in the scatter plot to filter the data used as input to the bar chart and table. The Iris data set is displayed in the scatter plot on the right. Brushing in the scatter plot causes the table below to show only selected data points. The selected data points are aggregated (counted) by Iris species.
  • angularjs-d3
    All of the code samples and the slides (Reveal.js) from my talk on combining D3.js with AngularJS at the 2014 MidwestJS conference.
  • Tutorial: How To Build A Qlik Sense Extension With D3
    The new Qlik Sense APIs make it extremely simple to build extensions that produce new visualizations. A common source of these visualizations is d3.js, a powerful javascript library for visualizing data. The following tutorial will show how to create an extension using existing d3 code. The tutorial will go into a bit of detail, so following each step will take some time...
  • example-d3-react
    Example D3.js + React integration: A small example exploring how to integrate D3.js data visualization components into a React app...React allows you to manipulate SVG, so you could probably re-write this repo in "pure React". Here, I assume that you might already have some D3 components you want to re-use, and/or you would rather write the data visualization parts of your app in D3...I find that making D3 components play nice inside a React app becomes easier when you follow these simple rules...

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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