Kelebogile-oss/African_Food_Prices_EDA

This project explores food price trends across African countries using the World Food Programme (WFP) Food Prices Database. It includes data cleaning, exploratory data analysis, visualizations, and statistical summaries to identify price distributions, outliers, country differences, time trends, and relationships between variables. # African_Food_Prices_EDA (I use Jupiter Notebook and Python) This project explores food price trends across African countries using the World Food Programme (WFP) Food Prices Database. It includes data cleaning, exploratory data analysis, visualizations, and statistical summaries to identify price distributions, outliers, country differences, time trends, and relationships between variables. ## Project Objective The objective of this project is to explore food price trends across African countries using the World Food Programme (WFP) Food Prices Database. This exploratory data analysis (EDA) aims to identify patterns, trends, and anomalies in food prices by answering the following questions: * How are food prices distributed across the dataset? * Are food prices positively skewed? * Are there significant outliers in food prices? * How has the average food price changed over time? * How do food prices vary across different countries? * Are there relationships between the numerical variables in the dataset? * What insights can be gained to support policymakers, researchers, and businesses in understanding food affordability and inflation across Africa? The analysis includes data cleaning, handling missing values, examining price distributions, identifying outliers, comparing food prices across countries, exploring trends over time, and using visualizations and descriptive statistics to communicate key findings ## Dataset used