Data Visualization and D3.js Newsletter Issue 61 Weekly Data Visualization and D3.js Newsletter

Hi Friends -

Welcome to the sixty-first issue of's Weekly Newsletter

Onwards to this week's links...



Data Visualization Reading and Videos

  • This Is How Map Projections Warp Your Understanding Of Geography
    How distorting are map projections? From the 1921 publication Elements in Map Projection comes this striking demonstration of "the distortion and exaggeration inherent in various systems of projection." Here's what four commonly used systems of projection do to a human head.
  • McDonalds Nutrition Facts
    A Scatter Plot Data Visualization of the McDonald's Menu with pictures. Ability to drill down by changing X and Y axes based on different measures like Calories, Total Fat, Cholesterol, Sodium, Carbohydrates, Fiber, Sugars, Calcium, Iron and more...
  • Plotly + Arduino Data Visualization
    The purpose of this instructable is to demonstrate how to hook up an Arduino + Ethernet Shield and send data to's Servers and create beautiful graphs. We will be using a dual temperature+humidity sensor (DHT22), and sending the results directly to Plotly.

D3.js Reading and Videos

  • Starting Out With D3.chart
    Writing reusable D3 code can be tough. d3.chart is a library from Bocoup that aims to simplify the development of reusable D3 charts. In this post I'll walk you through building a slightly more complex chart than what's in the walkthrough. Hopefully it will save you some time as you learn the library.
  • D3.js Plugins: Truly Interactive Matplotlib In Your Browser
    It's been a few weeks since I introduced mpld3, a toolkit for visualizing matplotlib graphics in-browser via d3, and a lot of progress has been made. The result is what I'll describe and demonstrate below: a general plugin framework for matplotlib plots, which, given some d3 skills, can be utilized to modify your matplotlib plots in almost any imaginable way.
  • Bubble My Page With D3.js
    Bubble My Page provides a service where you give it a URL and it returns a D3.js text bubble chart based on the first 100k bytes. The currently linked URL for this entry is the website. :)

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

Wishing you the best, 
Sebastian Gutierrez

Want to better understand this topic?
Check out these super-useful D3.js Screencast Videos (1 in 3 are free...)
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