Data Visualization and D3.js Newsletter Issue 152

DashingD3js.com Weekly Data Visualization and D3.js Newsletter

Hi Friends -


Welcome to issue 152 of the DashingD3js.com Weekly Newsletter.
 

Onwards to this week's links...
 

Featured
 

  • Should You Ever Use A Pie Chart?
    The assault on the pie chart began over a century ago...In 1914, the engineer and visualization advocate Willard Brinton published Graphic Methods, which is considered the first book about proper data visualization for a general audience...A significant portion of Brinton’s book cautions against the use of the pie chart...
  • Groundskeeping An Electronic Garden
    An electric garden brings forth the image of curated organic growth. Many forces interact to make a thriving garden, and those who are curating the garden can only attempt to direct or facilitate these forces. I would like to discuss a particular electronic garden blooming with d3.js examples. Plants in this garden take the form of bl.ocks...
 

Data Visualization Reading and Videos
 

  • The Toll: Mass Shooting Data Visualizations Around The Web
    President Obama issued a rare challenge to news organizations last week when he responded to last week’s mass shooting in Oregon by asking them to do some data homework...Storybench decided to publish a roundup of visualizations that have gone above and beyond what Obama requested...
  • How Dataviz Can Unintentionally Perpetuate Inequality: The Bleeding Infestation Example
    Sometimes, whether we know it or not, the choices we make when we visualize data can reinforce and even perpetuate racial disparity and it’s time that we talk about it. The lull of the computer monitor and the belief we are just working with numbers can make us lose sight of the fact that there are people behind this data who have given of themselves, sometimes unwillingly, and that we have a responsibility to them when we visualize...
  • VisualComplexity.com
    VisualComplexity.com intends to be a unified resource space for anyone interested in the visualization of complex networks. The project's main goal is to leverage a critical understanding of different visualization methods, across a series of disciplines, as diverse as Biology, Social Networks or the World Wide Web. I truly hope this space can inspire, motivate and enlighten any person doing research on this field...
  • Keeping It Together
    The geographer Alasdair Rae published a wonderful working paper on American “mega-regions” based on commuting data from the American Community Survey...I was curious what would happen if I used the data and subjected it to an algorithmic detection of community borders, rather than merely relying on the human eye to pick out the natural groupings of commuter regions. So I turned to the Combo software...
 

D3.js Reading and Videos
 

  • Consuming Government Data With Python And D3 - PyCon India 2015 [Video]
    The explosion of open data, especially government data has made it easy for us to see our own governance in a better light..In this talk, We will analyze and visualize Indian Governance with the help of novel tools that include Python, Pandas and D3.js...At the end of this talk you will be able to: a) Identify, read, parse, ETL data, b) Find patterns, anomalies in data, c) Integrate d3.js to your python data pipeline, and d) Visualize patterns in a beautiful web/mobile friendly framework...
  • Icelandic Mythical Beings
    This map displays locations of the most common beings from Icelandic legends. The data comes from Sagnagrunnur, a mapped database of published Icelandic legends dating from 19th century...
  • 10 Steps To Create Calendar View Heatmap In D3.js
    This tutorial discusses some motivations for learning D3. With the help of an example, we explain in 10 steps the use of D3 for creating a calendar view heatmap for daily data across multiple years...
  • Venture Dealr
    Visualize and turn the knobs on venture financing concepts such as dilution, option pools, liquidation preferences, down-rounds, and more!...
  • Income Explorer
    The goal of this project was to create interactive web maps for investigating the relationship between household income and geography. Particularly I wanted to do this in a reproducible manner to make it easily extensible to many regions and spatial scales...This projects consists of two significant components: 1. Getting and cleaning data and 2. Visualizing data as an interactive map...

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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