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We geo-spatially correlate Google trend indices of 5 most popular ethnic cuisines to 51 regions in the US from 2004 to 2020 and explore its societal impacts, powered by Python for data scraping and D3.js for data visualization.

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Ethnic Cuisine Trends

https://github.com/Badwater-Apps/ethnic-cuisine-trends

CodeFactor License: MIT

Our motivations

Aaron Tang is an avid cook. Skyler Dong might entertain you with some homemade breads and roasted beef, but is usually too busy to cook. Ethnic cuisines are a major component of diet in the US. There are many types of ethnic cuisines in the US. Different cuisines are popular in different regions.

Our question

What are the most popular ethnic cuisines in different states of the United States and how do they evolve from 2004 to 2020?

Methodology

We scrape Google trend indices from 2004 to 2020 as a function of time and states. We use D3.js to create an interactive data visualization to answer our question.

Results and discussion

Our final product is shown here: https://app.skylerdong.com/camera-search-trends/

Contributing to this project

If you are interested in contributing to this project, you are welcome to reach out.

To contribute to this project, we follow a rather standard approach of open-source software development, such as: https://github.com/firstcontributions/first-contributions

Contributors

https://github.com/Badwater-Apps/ethnic-cuisine-trends/graphs/contributors

Date created

April 16, 2020

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We geo-spatially correlate Google trend indices of 5 most popular ethnic cuisines to 51 regions in the US from 2004 to 2020 and explore its societal impacts, powered by Python for data scraping and D3.js for data visualization.

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