shiny-dashboard

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

Entorno modular y orquestador local para inicializar proyectos de Ciencia de Datos, Modelado, Documentación y Desarrollo Web estructurados para Agentes de IA.

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

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.

The data pipeline and analysis behind aprendIA—the IRC's WhatsApp teacher-training chatbot. The methods, not the data.

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.

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.

R package and research compendium: validated bootstrap, permutation tests, effect sizes, reproducible simulation studies with Monte Carlo SEs, and nested cross-validation.

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…

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.

End-to-end SME credit analytics platform built with R, SQL, and Shiny for loan portfolio analysis, credit scoring, risk monitoring, expected loss estimation, and management dashboards.