As college students we are constantly focused on our classes and don’t have as much time to focus on our food intake, which is very important to our well-being. We want to create a visualization that can help others easily find what recipes they can make by answering specific questions that they have like this:
Since this data focuses on the time it takes to make as well as the nutrition of various recipes, we can easily see what recipes we can use in our daily lives.
Because the dataset from kaggle contains 522,517 recipes from 312 different categories, it would require our team to do data analysis. Here are examples of what our team had done to sort through massive amount of data to provide a meaningful and plottable data:
For data processing, we used Excel for sorting columns in order and Javascript to split and count attributes.For visualization, we used Photoshop, Plotly.js, and ZingChart for creating a static nutrition chart, bar charts, and word clouds.
