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Analyzing 2016 agricultural export data (Fruits & Vegetables) across multiple countries. Includes pivot table summaries, visualizations, and insights into sales trends, top products, and regional demand. Repository Structure

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🌍 Export Data Analysis 2016

Analyzed 2016 export data of fruits and vegetables to global markets. Based on the provided Excel file containing 213 order records.

πŸ” Overview

This dataset tracks exports from January to December 2016 across 6 products (Apple, Beans, Broccoli, Carrots, Mango, Orange) to 7 countries.

Key Questions Answered:

  • Which product was exported the most? β†’ Mango
  • How many times was Apple ordered? β†’ 40 times
  • Which country ordered the most fruit? β†’ United States (42 orders)
  • What percentage of total export volume is Carrots? β†’ 13.3%
  • What’s the sales trend for Mango, Orange, and Apple?

πŸ“Š Key Insights

Insight Value
Total Export Volume 1,029,734 kg
Top Product by Volume Mango (397,374 kg / 38.6%)
Top Product by Order Count Mango (82 orders)
Carrots % of Total Volume 13.3% (136,945 kg)
Apple Order Count 40 orders
Top Fruit Market United States (42 fruit orders)
Top Vegetable Market Germany (20 vegetable orders)
Peak Month for Mango May (19 orders)
Fruit vs Veg Orders 146 Fruit

βœ… Mango dominates: It accounts for nearly 40% of total weight and over 38% of all orders β€” clearly the star product.

πŸ“ˆ Seasonality: High fruit demand in spring/summer (May peak), with a secondary spike in December.

🌎 Top 3 Fruit Markets (US, NZ, AU): Together account for 50.7% of all fruit orders.

πŸ“ Files Included

  • data/Export Data for Pivot Table.xlsx: Original source data.
  • analysis/*.ipynb: Jupyter notebooks showing step-by-step analysis using pandas and matplotlib.
  • visuals/*.png: Generated charts from the analysis.
  • docs/analysis_summary.md: Detailed breakdown of each pivot table task.

πŸ› οΈ How to Run Analysis

  1. Clone this repo:
    git clone https://github.com/yourusername/export-data-analysis-2016.git
    cd export-data-analysis-2016

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Analyzing 2016 agricultural export data (Fruits & Vegetables) across multiple countries. Includes pivot table summaries, visualizations, and insights into sales trends, top products, and regional demand. Repository Structure

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