HarvestWorks

Governments, agricultural businesses, and international organizations continuously monitor export performance, commodity pricing, land utilization, and supply chain efficiency to improve productivity, support farmers, optimize logistics, and respond to changing market conditions.

This dataset collection represents these interconnected agricultural activities, allowing learners to analyze realistic data used throughout the global food and agribusiness industry.

What\'s Included

• Agricultural Export Data
• Food Price Monitoring
• Agricultural Supply Chain Operations
• Agricultural Land Use Analytics

Learning Objectives

After working with this dataset you will be able to:

• Analyze agricultural export performance
• Compare food prices across regions
• Evaluate agricultural supply chain efficiency
• Analyze agricultural land utilization
• Identify regional pricing and trade trends
• Build executive agribusiness dashboards
• Support food security planning using data
• Evaluate supply chain costs and operational performance
• Develop agricultural market intelligence reports

Skills You\'ll Practice

• SQL
• Python
• Pandas
• Excel
• Data Cleaning
• Exploratory Data Analysis (EDA)
• Agricultural Analytics
• Supply Chain Analytics
• Business Intelligence
• Power BI
• Tableau

Business Questions

• Which agricultural products generate the highest export value?
• Which countries or regions receive the largest agricultural exports?
• How do food prices vary across different regions?
• Which supply chain stages generate the highest operational costs?
• How efficiently does food move from producers to consumers?
• Which land types occupy the largest agricultural areas?
• How does land utilization differ across regions?
• What trends emerge in agricultural exports and food prices over time?
• Which operational improvements could strengthen food supply chains?
• Which insights support agricultural policy and food security planning?

Suggested Portfolio Projects

• Agricultural Trade Dashboard
• Food Price Analysis
• Agricultural Supply Chain Dashboard
• Land Use Analytics Dashboard
• Agribusiness Performance Dashboard
• Food Security Intelligence Report
• Agricultural Market Analysis
• End-to-End Agriculture Analytics Project

Difficulty

Intermediate

Recommended for learners interested in agriculture, agribusiness, agricultural economics, food production, supply chain management, and business intelligence.

Industry

• Agriculture
• Agribusiness
• Food Production
• International Trade
• Supply Chain Management
• Business Intelligence

Recommended Tools

• Excel
• SQL
• Python
• Pandas
• Power BI
• Tableau
• Jupyter Notebook

Dataset Highlights

• 4 integrated agriculture and food supply datasets
• 2,000 total records
• Excel format included
• Agricultural exports, food prices, supply chain operations, and land use data
• Multi-region operational and economic metrics suitable for market analysis and strategic planning
• Ideal for agribusiness dashboards, food security analysis, agricultural trade reporting, supply chain optimization, land management analytics, and portfolio projects