Data Crunch

Data Crunch

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When Song Lyrics and British Lit Meet Tidy Text
Jul 15 • 17 min
When Julia Silge’s personal interests meet her professional proficiencies, she discovers new meaning in Jane Austen’s literature, and she gauges the cultural influence of locations in pop songs. Even more impressive than these finds, though, is that she…
How Data Is Eradicating Malaria in Zambia
Jun 10 • 17 min
According to the CDC, people have been writing descriptions of malaria—or a disease strikingly similar to it—for over 4,000 years. How is data helping Zambian officials eradicate these parasites? Tableau Foundation’s Neal Myrick opens the story to us.…
How Artificial Intelligence Might Change Your World
May 27 • 20 min
What does the creation of new artificial intelligence products look like today, and what do experts in this field foresee realistically happening in the near future? One thing’s for sure, the way we work and function in life will change as a result of…
Preventing a Honeybee Fallout
May 13 • 17 min
What would the world look like without honeybees? In theory, if there were no honeybees, it could drastically change our lives. Bjorn Lagerman, though, never wants to know the actual answer to that question. but the honeybees current worst foe, Varroa…
When a Picture Is Worth a Life
Apr 29 • 25 min
What if you found out your infant had eye cancer? That news would rock anyone’s world. But what if you had a tool that helped you catch it early enough that your baby didn’t have to lose his or her eye and didn’t have to go through chemo? You’d probably…
How Many Slaves Work for You?
Apr 14 • 20 min
If someone came up to you and randomly asked you, “How many slaves work for you?” maybe you’d think, “Slavery ended a long time ago, Bro.” Or maybe you would take the question seriously. With 20 million to 46 million people enslaved in the world, it is a…
Predicting the Unpredictable
Apr 1 • 21 min
We now know black swans exist, but Europeans once believed that spying one of their kind would be like stumbling across a unicorn in the woods—impossible. Then, Willem de Vlamingh spotted black swans in Australia, and this black bird, which once…
The Golden Age of Data Science
Mar 18 • 25 min
How did one boy’s stuffed yellow elephant permanently intertwine itself in history? What is a data scientist? Why is right now the golden age for data science? We take a crack at all three of these questions—the second two, with the help of Gregory…
The Curated History of Data Science, Part 3
Mar 1 • 19 min
From a small building in Pennsylvania to widespread usage across the world, we track the compelling story of one of the greatest technological innovations in history, setting the stage for the age of data science. Transcript: Ginette: “I’m Ginette.”…
The Curated History of Data Science, Part 2
Feb 16 • 22 min
She isn’t your typical English girl from the early 1800s. She’s a girl who, because of her fortunate and unfortunate family circumstances, ends up perfectly situated to become part of something that will revolutionize the world. Transcript: Ginette: “For…
Eyes on the Pirates, Part 2
Jan 31 • 21 min
Pirates in folk stories and popular movies conjure up strong imagery: eye patches, Jolly Rogers, parrots, swashbuckling, scruffy voices that say “Aye, Matey.” But what do the lives of successful pirates look like today?
Eyes on the Pirates, Part 1
Jan 12 • 30 min
The history books teach that slavery ended, but it still exists; it’s just morphed its form—different commodity, different location, but same abuses. The commodity is seafood. The location, Southeast Asia. The abuses,
The Curated History of Data Science, Part 1
Dec 9, 2016 • 12 min
Who were the people pushing the limits of their time and circumstances to bring us what we know today as data science? We examine what motivated them to do their important work and how they laid the foundations for our modern world where algorithms and…
The Predictive Power of Waffles
Nov 18, 2016 • 18 min
When breakfast food takes on hurricanes, who wins?
I Had to Run
Nov 1, 2016 • 21 min
Imagine you have to leave your home immediately, and you have little time to grab anything to take with you. You don’t know where you are going—you just know you have to flee for your life. Many people face a similar situation—one in every 113 people o…
Take It Back
Oct 13, 2016 • 11 min
What if one day, out of the blue, you find yourself sick—really sick—and no one knows what’s wrong. This is a story about a sleeper illness, and what one team of data scientists is doing to reduce its reach.