Data analysis of food security trends in Ghana (1990–2023) using World Bank indicators.
## Food Security Trends in Ghana (1990–2023).
A Python-based analysis of food security trends in Ghana using World Bank data (1990–2023).
**Project Highlights**
- Analysis of 30+ years of food security data in Ghana
- Data retrieved directly from the World Bank API
- Exploratory data analysis of population, food production, fertilizer consumption, and undernourishment
- Correlation analysis to understand relationships between key food security indicators
- Development of a Food Security Risk Index using normalized variables
- Clear visualizations to communicate long-term agricultural and demographic trends
## Project Workflow
```
The project follows a structured data analysis pipeline:
World Bank API
↓
Data Extraction (wbdata)
↓
Data Cleaning (Pandas)
↓
Handling Missing Values
↓
Exploratory Data Analysis
↓
Correlation Analysis
↓
Feature Engineering
(Food Security Risk Index)
↓
Data Visualization
↓
Insights & Interpretation
```
**Methodology**
```
The analysis follows a structured data analysis workflow:
Data Collection
↓
Data Cleaning & Preparation
↓
Exploratory Data Analysis
↓
Correlation Analysis
↓
Feature Engineering
(Food Security Risk Index)
↓
Visualization & Interpretation
```
**Skills Demonstrated**
This project demonstrates the following data analysis skills:
Data Collection
- Accessing public datasets through APIs
Data Cleaning
- Handling missing values
- Interpolating time-series data
- Data transformation
Exploratory Data Analysis
- Trend analysis
- Comparative visualization
Statistical Analysis
- Correlation analysis
- Feature engineering
Data Visualization
- Line plots
- Comparative trend charts
- Heatmaps
Programming
- Python
- Pandas
- Matplotlib
- Seaborn
- Scikit-learn
**Project Overview**
This project analyzes long-term food security trends in Ghana between 1990 and 2023 using data from the World Bank’s World Development Indicators.
Food security is influenced by multiple factors including population …