This was our submission for the SAS Curiosity Cup 2023. Waste generation has exponentially increased and is increasingly becoming a critical issue bothering the countries and the world at large, In this report, our team sourced 2 datasets; A World Bank dataset from Kaggle and OECD Waste data. We conducted exploratory data analysis, clustering and forensic forecasting, we examined the trends on primarily food waste generation over time.
Two datasets were used in this project:
Countries: This contains the countries gdp, population, and area code(For Map visualisation SAS)FOOD_WASTE_csvformat: This conatined the food waste metric per country The two datasets were carefully joined seeJOINto see our process of Joining
You can find our work process and Eda SAS_Team(1)
Our report can be found Dynamic impact of Food waste in the world
I worked with Dika, Khadijat and Faith.
