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In Python, create a program that uses K-means clustering to analyze an excel file detailing earthquakes and organize the data into clusters corresponding to where

In Python, create a program that uses K-means clustering to analyze an excel file detailing earthquakes and organize the data into clusters corresponding to where they occurred(latitude and longitude). For simplicity, we're only looking at the continental United States. So each cluster could be like earthqaukes that happened on the east coast, west coast, midwest, etc. You can do it however you want as long as it makes sense. Once you have the clusters, use the turtle module to draw a dot on the United States map(that I provide at the bottom) where each earthqauake happened and each cluster should be a different color. Excel url(save the file, you don't have to import it from the internet): https://earthquake.usgs.gov/earthquakes/feed/v1.0/summary/all_month.csv United States map: http://i64.tinypic.com/2i739t4.jpg

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