🌾 Sugarcane Production Data Analysis

This project analyzes sugarcane production data across different countries using Python.
It focuses on data cleaning, exploratory data analysis, visualization, and correlation analysis to uncover meaningful insights.

🔍 Features

• Data cleaning and preprocessing
• Exploratory Data Analysis (EDA)
• Bar charts and visualizations
• Correlation analysis with heatmap

🛠 Tools & Technologies

• Python
• Pandas
• Matplotlib
• Seaborn
• Jupyter Notebook

📁 Project File

• SugarCaneProductionProject.ipynb – main analysis notebook

📊 Outcome

The project helps understand production patterns and relationships between numerical features, serving as a foundational data analytics mini project.