Efe-Godson/Africa-food-supply-analysis

Analysis of food supply, production, and nutritional trends across African countries using Python and real-world datasets 📊 Africa Food Supply Analysis 📌 Overview This project explores food supply, production, and nutritional trends across African countries using historical data from the Food Balance Sheets dataset. The analysis focuses on understanding how food availability, protein supply, and production patterns vary across regions and over time. 🎯 Objectives Analyze food supply trends across African countries Examine protein supply distribution by region Identify patterns in production, imports, and consumption Explore year-over-year changes in key food metrics 📂 Dataset Source: Food Balance Sheets (Africa) Country (Area) Food items Supply metrics (production, imports, exports) Nutritional indicators (protein, fat, calories) Yearly data (2014–2018) 🛠️ Tools & Technologies Python Pandas NumPy 🔍 Key Analysis 1. Data Cleaning & Preparation Handled missing values across multiple years Standardized dataset structure Filtered relevant metrics such as protein supply 2. Aggregation & Grouping Grouped data by country and element Calculated total food supply across years Performed country-level protein supply analysis 3. Nutritional Insights Analyzed protein supply per capita Explored fat supply trends Examined caloric availability across regions 4. Country-Level Analysis Compared food supply across African countries Identified high vs low supply regions Highlighted variations in food availability 📈 Key Insights Food supply increased across most countries over time Significant disparities exist in nutritional availability Protein supply varies widely between regions Some countries show declining trends in key metrics ⚠️ Challenges Missing values across multiple years Inconsistent data formatting Complex filtering required for meaningful analysis 🚀 What This Project Demonstrates Data cleaning and preprocessing Exploratory data analysis (EDA) Aggregation and grouping techniques Working with real-world datasets Extracting actionable insights …