Agriculture Data Visualization Project

Overview

This project involves the analysis and visualization of agricultural production data in Tamil Nadu, India. The dataset, downloaded from Kaggle, contains information on the production yield of various crops across different districts. The primary goal of this project is to enhance data analysis and visualization skills using Google Colab.

Colab Link:

https://colab.research.google.com/drive/1poZYnbHIAWMjmnYAmkol1K8BhkUxVtZh?usp=drive_link

Dataset

• Source: Kaggle - Agriculture Production Data
• Description: The dataset includes data on crop production yield for (2009 - 2013) across different districts in Tamil Nadu. It features various crops and their respective production quantities over several years.

Technologies Used

Libaries

• Pandas: For data manipulation and analysis.
• Matplotlib: For creating static, animated, and interactive visualizations.
• Seaborn: For statistical data visualization.

Features

1. Data Cleaning: Handling missing values and preparing the dataset for analysis.
2. Exploratory Data Analysis (EDA): Generating summary statistics and visualizations to understand the data distribution.
3. Production Yield Analysis: Visualizing the production yield of various crops across different districts.
4. Trend Analysis: Identifying trends and patterns in crop production over time.
5. Comparison: Comparing production yields of different crops in various districts.

Installation

git clone https://github.com/yourusername/agriculture-data-visualization.git

Acknowledgments

Special thanks to Kaggle for providing the dataset. Thanks to the open-source community for the tools and libraries used in this project.