Data Visualization and D3.js Newsletter Issue 134

DashingD3js.com Weekly Data Visualization and D3.js Newsletter

Hi Friends -


Welcome to issue 134 of the DashingD3js.com Weekly Newsletter.
 

Onwards to this week's links...
 

Featured
 

  • EYEO Festival 2015 Recap
    In the end, after days of contemplation, I will say that this year’s EYEO echoes a thesis from the documentary Sound City. That being with the advances of technology more people are empowered to make things, but the truly great things will come from people with something to say. Those people will most likely be the ones that collaborate, push, and share the community at large...
  • D3Kit - A Set Tools To Speed D3 Related Project Development
    d3Kit is a set of tools to speed D3 related project development...It is a lightweight library to help you do the basic groundwork tasks you need when building visualization with d3. D3Kit features include, but are not limited to: a) Setup <svg> according to d3's margin convention, make it support auto-resizing and add other convenient functions. We called it a "Skeleton" for your visualization, b) Help you create reusable component, c) Help you create reusable subcomponent (a.k.a. Chartlet), d) and many more...
 

Data Visualization Reading and Videos
 

  • How To Make A Simple Virtual Reality Data Visualization
    The following tutorial was written by Roger Kenny, an interactive designer at the Wall Street Journal. After Storybench covered his 3D virtual reality tour of the Nasdaq, Kenny offered to guide us through building a simple virtual reality data visualization...
  • Data Visualization: A Scientific Treatment
    I want to consider a modern example of Data Visualisation. As with Nightingale’s work, this is not business-focused, but contains some elements which should be pertinent to the professional considering the creation of diagrams in a business context. The specific area I will now consider is Structural Biology...
  • Data Visualization Inspiration: Analysis To Insights To Action, Faster!
    In this post, I want to share some examples of data visualization I was excited about recently. In each case the creator did something interesting that made me wonder how I can use their strategy in my daily efforts in service of digital marketing and analytics. We will look at six short stories...
  • Inge Druckrey: Teaching To See
    “This [film] is about patient and dedicated teaching, about learning to look and visualize in order to design, about the importance of drawing. It is one designer’s personal experience of issues that face all designers, expressed with sympathy and encouragement, and illustrated with examples of Inge [Druckrey]’s own work and that of grateful generations of her students. There are simple phrases that give insights into complex matters, for example that letterforms are ‘memories of motion.’ Above all, it is characteristic of Inge that in this examination of basic principles the word “beautiful” is used several times.”...
  • Parallel Sets: Interactive Exploration And Visual Analysis Of Categorical Data
    Categorical data dimensions appear in many real-world data sets, but few visualization methods exist that properly deal with them...Parallel Sets are a new method for the visualization and interactive exploration of categorical data that shows data frequencies instead of the individual data points. The method is based on the axis layout of parallel coordinates, with boxes representing the categories and parallelograms between the axes showing the relations between categories...
 

D3.js Reading and Videos
 

  • Interactive Data Visualization Using D3.js, DC.js, Nodejs And MongoDB
    The aim behind this blog post is to introduce open source business intelligence technologies and explore data using open source technologies like D3.js, DC.js, Nodejs and MongoDB. Over the span of this post we will see the importance of the various components that we are using and we will do some code based customization as well...
  • ReactJS And D3 Part I: Layouts
    D3 for math + ReactJS for rendering: a simpler mental model in which D3 computes layouts and interpolations, and delegates rendering to React (D3 never touches the DOM). Work directly with SVG markup rather than passing it through a chain of functions...
  • dragit.js - A Toolkit To Enable The Manipulation Of Data Graphics
    Dragit.js is an extension to the D3.js library to enable the direct manipulation of SVG data visualizations. It is designed to be included in an existing D3 visualization with as little modifications as possible. It is also designed to be highly customizable and extensible...
  • Kodama - D3 Tooltip And jQuery Plugin
    Kodama is a D3-based tooltip system designed to be simple, fast and small with a fluent API. It can be styled without CSS classes (potentially global variables for any large, modular application). And it can support a preferred directional 'gravity' that will adjust itself so as to stay on the screen. It can be used across an entire site for consistency, but integrates canonically with D3's API. If using jQuery in addition to D3, the library installs a tiny plugin to add tooltips to any jQuery selection (if it finds jQuery or Zepto when initialized)...

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

Wishing you the best, 
Sebastian Gutierrez
@DashingD3js
www.dashingd3js.com

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