Category: tutorial

Last week, Antonio S. Chinchón made an interesting post showing how to create a traveling salesman portrait in R. Essentially, the idea is to sample a bunch of dark pixels in an image, solve the well-known traveling salesman problem for …

Traveling salesman portrait in Python Read More »

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Pie charts are the most widely berated chart in data visualization. Many articles have been written over the years describing why pie charts are bad, and why we should no longer use them. Even key members of the data visualization …

The correct way to use pie charts Read More »

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Earlier this week, a Reddit user shared a fascinating animated data visualization showing the MLB home run leaders from the past 200+ years. I found this visualization especially interesting because it was one of the few examples where I’ve seen …

Major League Baseball home run leaders, 1871-2016 Read More »

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Last year, the vaccination debate was all the rage again. “Pro-vaxxers” were loudly proclaiming that everyone should get vaccinated and discussing the science behind it, and “anti-vaxxers” were casting their doubts and still refusing to get vaccinated for personal reasons. …

Revisiting the vaccine visualizations Read More »

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A couple weeks ago, Stephen Holzman shared an animated GIF on /r/DataIsBeautiful that caught my eye. The GIF showed the evolution of fertility rates of the U.S. and Japan between 1947 and 2010, which starts right in the middle of …

Small multiples vs. animated GIFs for showing changes in fertility rates over time Read More »

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If you’ve ever browsed the U.S. Census population statistics pages, you’ve no doubt come across the famous population pyramid that they so frequently use to display the distribution of the U.S. population by age and gender. I was reading up …

Rethinking the population pyramid Read More »

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Want to learn more about data visualization with Python? Take a look at my Data Visualization Basics with Python video course on O’Reilly. It’s been well over a year since I wrote my last tutorial, so I figure I’m overdue. …

How to make beautiful data visualizations in Python with matplotlib Read More »

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Spartans Hashtagify Network

According to an August 2013 PEW report, 18% of all internet users use Twitter on a regular basis. That equates to roughly 500 million people signing into Twitter to check the latest tweets, news, and celebrity gossip every day. It’s …

Harnessing Hashtagify.me and social network analysis to maximize your brand’s reach on Twitter Read More »

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There are millions of people around the world checking into Twitter every day. It's about time you connected with them. Image c/o <a href="http://www.flickr.com/photos/walkingsf/sets/72157627140310742">Eric Fischer</a>

This is the original version of this article that appeared on Co.Labs. We all know the power of Twitter to spread one person’s voice across the Internet. Celebrities tweet out pictures of their daily lives, world renowned scientists share the …

A tech-focused guide to increasing your influence on Twitter Read More »

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This is the original version of the article that appeared on Co.Design. We live in an age of Big: Big Computers, Big Data, and Big Lies. Faced with an unprecedented torrent of information, data scientists have turned to the visual …

3 easy steps to avoid deceitful data visualizations Read More »

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