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If you're hungry for more data about Data Cuisine, check out the workshop's website, or digest more of the mouth watering infographics here.
Now, these two disparate art forms have come together in the form of Data Cuisine, a deliciously informative project founded by data visualization artist Moritz Stefaner, who previously worked on the epic data exploration of selfies, SelfieCity.
Using intricately composed entrees, appetizers, and desserts, Stefaner and the participants in his Data Cuisine workshop have crafted an array of relevant visualizations, which take full advantage of the expressive range chefs can whip up in a kitchen.
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For restaurants, for example, it uses publicly available data like cuisine, price, attire and the like to assign attributes to restaurants and match them with similar restaurants in other cities.
Or maybe you are slightly OCD and keep a spreadsheet for the restaurants you visit with data about their cuisine, ambiance, cost and other data.
But the real interest of the study comes through its application of this raw data to differences in cultures' cuisines.
Neighborhood cuisine analysis using Yelp data.
Using demographic data and "demand mapping" for specific cuisines, Kitchen United said that it can provide optimal locations and site the right restaurant to meet consumer demand.
ABC7's Jessica Castro using some of our data analysis for a look at neighborhood cuisine trends.
Even so, this kind of data mining offers a fascinating insight into the cuisines of the world and how they vary.
Dietary intake of vitamin D was calculated based on the questionnaire data using local food-composition tables adapted to the Greek cuisine [ 29].
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com