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diplomaticfei/nigeria_food_price_analysis

Domain:

agriculturesocioeconomic
Creator:
dip
Host:
EDA of Nigeria food prices (2002-2005) Nigeria Food Price Analysis (2002–2025) Overview This project analyzes food price trends in Nigeria over a 23-year period using exploratory data analysis (EDA). Objectives - Analyze long-term price changes in staple foods - Identify price volatility across regions - Explore seasonal patterns - Compare urban and rural markets - Understand price spikes and external influences Key Insights - Imported rice showed the highest price increase (~18x) - Kebbi had the highest price volatility - Aba market recorded the highest urban prices - Food prices show clear seasonal patterns - External shocks significantly influence price spikes Tools Used - Python (Pandas, Matplotlib) - Jupyter Notebook Dataset Nigeria Food Prices Dataset (2002–2025)

Visit

github.com

Tags

data-scienceexploratory-data-analysisnigerian-datapython