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This notebook explores the Karnataka Agriculture Dataset through visualizations. It analyzes soil types, crop distribution, and other agricultural patterns to understand regional trends and support future modeling or insights. A clean and beginner‑friendly EDA for agricultural data

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Visualizing Agricultural Patterns in Karnataka

This project explores the Karnataka Agriculture Dataset through clear and beginner‑friendly visualizations.
It analyzes soil types, crop distribution, rainfall patterns, and other agricultural indicators to understand regional trends and support future modeling or insights.

📁 Project Structure

  • notebooks/ – Jupyter notebook with all visualizations

📊 Key Visualizations

  • Soil type distribution across districts
  • Crop production patterns
  • Seasonal and rainfall trends
  • Correlation heatmaps for agricultural features

🧠 Goals of the Analysis

  • Provide a clean, beginner‑friendly EDA for agricultural data
  • Identify meaningful patterns in Karnataka’s agricultural landscape
  • Prepare the foundation for future predictive modeling

About

This notebook explores the Karnataka Agriculture Dataset through visualizations. It analyzes soil types, crop distribution, and other agricultural patterns to understand regional trends and support future modeling or insights. A clean and beginner‑friendly EDA for agricultural data

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