This is an interactive R Shiny dashboard I built to analyze and visualize district-wise rainfall patterns across India. The goal of this project was to explore the data, find patterns, and build a simple predictive model using linear regression.

The dashboard allows users to:

• View rainfall statistics (monthly and annual)
• Explore correlation and covariance between months
• Categorize regions based on rainfall (High, Average, Low)
• Predict annual rainfall using user-inputted monthly values
• Visualize trends, distributions, and clusters

This project helped me understand how to combine data science concepts with Shiny app development in R.

• Working with real-world rainfall data
• Using ggplot2, corrplot, and caret for analysis and visualization
• Building a linear regression model with lm() in R
• Clustering with kmeans to identify regional patterns
• Creating a clean, tab-based Shiny UI with reactive elements

1. Make sure R and RStudio are installed on your system.
2. Install required packages:

install.packages(c("shiny", "ggplot2", "corrplot", "caret", "cluster"))