You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
## Project Overview
This project analyzes crop production data in India from 1997 to 2020. It includes patterns, trends, and insights on agricultural production across various states and crops.
Features
Dataset: Contains information about crop production by year, state, and crop type.
Time Period: 1997 to 2020.
Use Cases: Trend analysis, prediction modeling, and regional comparisons.
How to Use
Clone the repository or download the dataset.
Open the provided Jupyter Notebook.
Run the cells to analyze trends and visualize data.
Tools & Libraries
Python: For data analysis and visualization.
Pandas: For data manipulation and analysis.
NumPy: For numerical operations and array manipulation.
Matplotlib/Seaborn: For creating visualizations like charts and plots.
Tableau: For building interactive, live dashboards.
shutil: For file operations, such as moving or renaming files in the project.
About
This repository analyzes crop production data in India from 1997 to 2020, offering insights on agricultural trends, predictions, and regional comparisons using Python, Tableau, and data visualization tools.