Source: https://www.kaggle.com/competitions/whats-cooking/data
This data set is from the What’s Cooking competition on Kaggle. The competition asks to predict the category of a dish’s cusine given a list of all its ingredients. The data set is compiled by Yummly. Each entry is comprised or an id, the type of cusine, and a list of ingredients. The data set is split into train and test data set for purposes of the competition. However for the purposes of this project we will only be using the train data set that has the target variable: ‘cuisine’.
In this project, the aim is to create an interactive vizualization that allows the user to compare and contrast ingredients accross various cuisine.
The interactive vizualization will be in the form of a Dash app or Shiny app. Initial steps include creating network graphs to map the relations between the ingredients of different cuisines and allow user end customization. If possible, further research will be done to add to the original dataset and transformations performed to enhance the quality of the data.
The inspiration for this projects comes from a cohesive recipe database project.
https://academic.oup.com/database/article/doi/10.1093/database/baaa077/6006228