This visualization is based on the 50 most popular recipes of 2016 by NY Times Cooking. This is a dataset I created by scraping the webpage of each recipe (http://cooking.nytimes.com/68861692-nyt-cooking/3891782-our-50-most-popular-recipes-of-2016) for its’ ingredient list. Then I cleaned the dataset to obtain common naming for each ingredient and removing adjectives and measurements. I removed the most common ingredients (olive oil, butter, salt, pepper), then I created an adjacency matrix for each ingredient where the edges between ingredients are indicative of the number of recipes they are in together. The width of the edges reflects the number of recipes each ingredient pair is found in together and nodes are spaced relative to one another based on how similar they are in the recipes they are found in.