Earthquake Data Explorer

An interactive R Shiny application for exploring the built-in quakes dataset (Fiji earthquake data) through descriptive statistics, correlation analysis, distribution exploration, and regression modeling.

🔗 Live Demo

Overview

This app was built as a proof-of-concept to demonstrate how exploratory data analysis, statistical inference, and regression modeling can be combined into a single interactive tool using Shiny. It's designed for exploring the dataset's structure and relationships, not for real-world seismic forecasting.

Features

• Exploratory Data Analysis — descriptive statistics, a correlation heatmap, and interactive scatterplots/histograms with optional regression lines and density curves
• Distribution Explorer — maps values to percentiles and percentiles to values interactively, with single or range-based quantile selection
• Statistical Tests — one-sample t-tests with configurable alternative hypotheses, plus correlation testing (Pearson, Spearman, Kendall) with method-specific visualizations
• Regression — builds multiple linear regression models with user-selected predictors and interaction terms, showing observed-vs- predicted diagnostics and full model summaries

Tech Stack

R · Shiny · ggplot2 · shinythemes

Run Locally

# Install dependencies
install.packages(c("shiny", "ggplot2", "modeldata", "shinythemes"))

# Run the app
shiny::runApp("app.R")

Data

Uses the quakes dataset (Fiji earthquake locations, 1000+ seismic events) built into R's modeldata package.