Matthew Snell
Applied AI
Published in
1 min readMay 22, 2017

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Tornado approaching residential area outside Wynnewood, OK. Image obtained from www.weather.com.

Remembering Tornadoes — A Data Scientist’s Perspective

Given that it’s tornado season and I’m a life-long Oklahoman, I think it’s important we construct an educational data visualization that describes and tells the story of the most significant tornadoes for the past 65 years.

While there are a number of great tools online that contain historical data of all tornadoes, few focus on the ones that wrote history, changed how weather is reported, and altered lives.

So, join me in this process from beginning to end. We’ll mine data using Python, check for significance and look for correlations in R, and design an easy to understand and informative visualization using D3.js. I will be discussing all road blocks, thought processes, and errors along the way. By the end of this project I hope to inform and educate people not only on tornadoes, but also shed light on pivotal (and also free) data science tools.

First up, let’s find some data.

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