Data Visualization and D3.js Newsletter Issue 160

DashingD3js.com Weekly Data Visualization and D3.js Newsletter

Hi Friends -


Welcome to issue 160 of the DashingD3js.com Weekly Newsletter.
 

Onwards to this week's links...
 

Featured
 

  • PolicyViz Podcast Episode #26 - Jim Vallandingham
    Very excited to welcome Jim Vallandingham to this week’s episode of the podcast. Jim is a Data Visualization and Open Web Engineer at Bocoup. He writes regularly about everything open: code, projects, collaborative tools, building great stuff. In this episode, we talk about some of the projects he has been working on at Bocoup and next year’s OpenVisConf to be held in Boston...
  • Introducing d3-shape
    Enter d3-shape: a small JavaScript library for drawing geometric shapes commonly found in data visualizations, with each shape driven by data through accessor functions. It works with both SVG and Canvas...
 

Data Visualization Reading and Videos
 

  • The Fall And Rise Of SVG
    As ’99 rolled into 2000, I thought that SVG’s global dominance would manifest itself shortly. Certainly by 2001, 2002 tops; it made so much sense, and web standards as of the 1990s had generally tended to be implemented within a roughly two-year horizon. But SVG’s “overnight success” was to take a few thousand more nights than I had expected...
  • When Pie Charts Are Okay (Seriously)
    I can always tell when someone has attended a data visualization training in the past because they tell me, “Ann! I know everything there is to know about data visualization! I know that I can never use pie charts!”...That advice about never using pie charts is only half-true...
  • In Defense Of Data Visualization Rules
    There are a couple of rules that pretty much everyone involved in the data visualization field has heard of: 1) Pie charts are a bad way to visualize data and 2) Bar charts should have a y-axis that starts at zero (sometimes also referred to as "baseline zero")...Lately, though, it seems a lot of people, including many whose whose views I respect, are pushing back against these (and other) data viz rules...
  • Information Visualization Research as Pseudo-Science - Discussion [Jeffrey Heer response to Stephen Few]
    [Original Stephen Few article here PDF]
    Dear Stephen...I appreciate your passion for improving the relevance and quality of Information Visualization research. I agree with a number of your critiques, but also think that others are overblown or less severe than your post implies. For specific details regarding the “Beyond Memorability” paper, please see the end of this post for my point-by-point review of the methodological issues you raise. Here, I would like to respond primarily to your statements regarding the Information Visualization research community, while sidestepping some of the valid but much more general concerns endemic to all of scientific publishing...
  • Learning Three.js With Real World Challenges (That Have Already Been Solved)
    I’ve been playing with WebGL a lot lately (a JavaScript API for rendering interactive 3D graphics in the browser)...I recently found a perfect example for reverse engineering. It was this article on the New York Times: A 3-D View of a Chart That Predicts The Economic Future: The Yield Curve...I decided to recreate this visualization as a way to learn Three.js. This graph appealed to me because it wasn’t just aesthetic, there was real data used to generate it...
 

D3.js Reading and Videos
 

  • D3 Water Drop Chart
    D3 Water Drop Chart is a very simple chart created with a single stacked bar chart inside a Water Drop body...
  • d3.compose
    Compose complex, data-driven visualizations from reusable charts and components with d3...Get started quickly with standard charts and components...Layout charts and components automatically...Powerful foundation for creating custom charts and components...
  • geojson-dashboard
    A configurable framework for building a geographic "data dashboard" from a GeoJSON file...
  • Interactive Strip Plots For Visualizing Demographics
    A lot of the Molenbeek sociodemographic statistics are outliers in the Belgian context. Even compared to other Brussels municipalities, the Molenbeek statistics are special...So I decided to visualize the special characteristics of the population of Molenbeek and give the (Belgian) reader the possibility to make the comparison with their own municipality...I deliberately decided not to make maps...I wanted to show the distributions and the position of Molenbeek in each statistic, which can’t be done with choropleth maps...

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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