An Exploratory Ukraine Rising Commodities Price Analysis: Towards a Resilient Food System

Indeed, Ukraine has faced adverse situations that have significant implications for commodity price fluctuations which lead to regional and global poverty and food security crises. This study is concerned with the Ukraine commodity situation of the past 5 years due to the pandemic and the Russia-Ukraine war. Statistical analyses are performed to get insights into commodities and wavering prices. This study elicits knowledge from World Food Program (WFP) Ukraine dataset and demonstrates the stable price commodities and outliers price commodities corresponding to a particular city and time. Hence, exploratory commodity price is performed to present stability analysis, outlier analysis, adverse time commodity price analysis, and temporal vegetable price analysis. The linear regression (LR) model has also been used to predict the forecast of commodity prices based on historical data. The LR model fits well and has achieved less MSE, RMSE, and MAE loss concerning all training, validation, and test dataset.