Demo deployment for an R Shinylive Dashboard that lives outside of Quarto Dashboards

Professional R Data Science Portfolio: Advanced programming, ML pipelines, interactive Shiny dashboards, statistical modeling & production-ready code. Features 95%+ test coverage, Docker deployment, CI/CD workflows. Real-world applications in finance, healthcare & marketing. Perfect for showcasing R expertise to recruiters.

Advanced statistical analysis project in R evaluating the impact of air pollution exposure on hospitalization risk and survival outcomes using GLM, survival modeling, mixed effects and causal inference with an interactive Shiny dashboard.

An interactive web dashboard visualizing Taiwan's future rainfall patterns and extreme weather risks under climate change scenarios.

A public-facing dashboard used to search Vancouver parks according to customized needs

An interactive web dashboard visualizing Taiwan's future high temperature patterns and heat risk under climate change scenarios.

Learn by Building Project - Interactive Plotting, @algoritma

R Shiny dashboard demonstrating validation-first analytics for clinical trial duration forecasting. Random split R² = 0.84 vs time-based R² = 0.04—why validation strategy matters more than model selection.

This course introduces techniques to transform raw data into actionable insights for business analysis, covering customer, operation, and people analytics. Customer analytics examines and predicts customer behavior; operation analytics aligns supply with demand and optimizes decisions; people analytics uses data to manage the workforce effectively.

I completed a group project in my data visualization course using Global Terrorism data covering 1970 - 2017. My contribution to the project was creating an interactive Shiny Dashboard using R. The dashboard and its graphs were code solely by me using ggplot2 and thinking about the data, user, and task. I created seven subsets of the main data f…