Turing Data Stories
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All (9)
COVID-19 (2)
data exploration (1)
data wrangling (1)
forecasting (1)
vaccinations (1)

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An open community creating “Data Stories”: A mix of open data, code, narrative 💬, visuals 📊📈 and knowledge 🧠 to help understand the world around us. Want to contribute? Take a look here.

Posts

Esport predictions: Overwatch League

We study a single season of games in the professional esports league for Overwatch and try to predict game outcomes based on past performance.

Oct 11, 2023
Markus Hauru, Tim Powell, Kevin Xu

Unveiling London’s mobility patterns with Boris Bikes

Using Transport for London’s data on the Santander Bike Scheme to understand how Londoners move around the city

Jul 7, 2023
James Bishop, Markus Hauru, Federico Nanni, Camila Rangel Smith

Machine Learning for the 20th century - Artifact Classification From an Aviation Mystery

Can a United Kingdom database from 1987 classify a glass cosmetics jar that might have belonged to Amelia Earhart? (Photograph credit ID 98648556. Copyright Mickem, Dreamstime.com.)

Oct 14, 2022
Joe Cerniglia

Desert Island Discs - Famous people and their musical tastes

As the iconic BBC radio programme turns 80, we explore notable people and the music that tells the stories of their lives.

Mar 9, 2022
Helen Duncan, Bill Finnegan, Luke Hare, Camila Rangel Smith, Sam Van Stroud

Modelling COVID-19 Hospitalizations in England

Investigating the link between infections and hospitalizations using COVID-19 data in England for 2020-2021 and Bayesian inference.

Nov 3, 2021
Eric Daub

French Pastries, Baseball Players, and Marginal Utility

Understanding and estimating the replacement value of US baseball players with Bayesian models.

Jul 21, 2021
Eric Daub

When will the United Kingdom be Fully Vaccinated Against COVID-19?

COVID-19
vaccinations
forecasting

By May 2021 the United Kingdom had fully vaccinated one third of the adult population. Based on the progress so far, we estimate when the whole population will be vaccinated.

May 19, 2021
Jack Roberts

Modelling Mail-In Votes In the 2020 US Election

Using hierarchical Bayesian modeling to predict outcomes and associated uncertainties in the 2020 US election.

Feb 26, 2021
Eric Daub

Who was protected by the first COVID-19 lockdown in England?

COVID-19
data wrangling
data exploration
All the authors above contributed to this data story story with ideas, code development and story telling.
Nov 20, 2020
David Beavan, Camila Rangel Smith, Sam Van Stroud, Kevin Xu
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