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looking at how food waste compares among different demographics such as age, race, and wealth.

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Food Waste in NYC - Data Science Project 🍉

Food waste is very prevelant within the United States, and we wanted to look at how common it was. We decided to use the nation's largest city to understand/analyze any trends or correlations that may exist.

Motiviation

We wanted to analyze and illustrate trends between neighborhood profile demographics and their respective food scrap centers within NYC and its boroughs.

Methods

We used publically accessible opensource datasets to best illustrate waste with NYC. We found a dataset from NYC open data, and then we refined it using pandas. After that, we graphed our data with Plotly and integrated it into a website using Dash.

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HTML, CSS, Python, JavaScript

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looking at how food waste compares among different demographics such as age, race, and wealth.

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