The arguments over pie charts dates back to 1914.
Resource Links
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Ye Olde Pie Chart Debate →
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What Makes Software Good? →
Thoughtfulness in design from d3.js maker Mike Bostock. One of the main reasons I go with d3.js over other libraries.
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Perceptual Scaling of Map Symbols →
Scale circles by area or by how they are actually perceived?
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How do you learn d3.js? →
Small projects. Decide what you want to make first, and then figure out how to do it.
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Yahoo News feed dataset for researchers →
A big ol’ dataset on interaction with the list of news items on the homepage.
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Grid map showdown →
A quantitative look at which US grid layout is best.
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Little boxes →
It must be that time of year again when practitioners try to define visualization. It’s a medium. It’s continuous.
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Experimentation with globes in Blender 3D →
There’s also a collection of video tutorials on how to use QGIS to greater effect.
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Colors from images in R →
A how-to to break down images into just their colors.
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geomnet →
An R package for “Network visualization in the ‘ggplot2’ framework” by the folks at Iowa State.
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The most misleading charts of 2015, fixed →
Suggestions. Not just snark.
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Squaire.js →
JavaScript library from Wall Street Journal to make the now popular square state grid.
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k-means + d3.js →
The simple clustering technique implemented with d3.js.
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Do Visual Stories Make People Care? →
The NPR Visuals team tracked user activity on their visual stories to see how people read or didn’t.
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Hexagonal Grids →
More than you ever thought you wanted to know about hexagonal grids.
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rchess →
An R package for chess move generation and validation.
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tigris →
A package to help you download and map TIGER shapefiles in R.
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What to do with small data →
When the algorithms and methods for big data don’t work.
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NFL play-by-play data →
Download play-by-play and standings data scraped from the NFL site, dating as far back as 1920.
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Seaborn →
A Python library for visualization. Surprised I just heard of it.