Visualization of leftovers of school lunch and approaches to the future

Abstract

The importance of school lunch has been increasing in recent years. In this study, we analyzed the leftovers food using the data science and considered the future approach to providing the school lunch that is desirable for children. Feeding leftovers data we used were provided by Fukuroi City, Shizuoka. From the basic analysis, we showed not only the weight of the leftovers but also the necessity of analysis for each nutrient. And using the school lunch instruction standard, we checked the state of intake of necessary nutrients. In the future we will increase the number of data and analyze throughout the year. We also would like to consider the relevance to climate, events, and growth by linking with open data.