This application visualizes environmental and food safety lab results with interactive scatter plots, histograms, and a full analyte correlation table. Users can filter data, adjust axes, and add reference lines for deeper analysis. All data is anonymized. The app runs entirely in your browser via Shinylive and may take a moment to load initially.

A full JavaScript reimplementation of the Shiny data visualization app, built with React and D3.js. It preserves the core analytical features — scatter plots, histograms, and a correlation table — while delivering a native browser experience with no R runtime required. Custom axis scaling, interactive filtering, and reference line annotations are all available, with the same anonymized dataset used in the original.

This app features a comprehensive KPI dashboard designed for laboratory management. By integrating line charts, bar charts, treemaps, and summary value boxes, it provides a high-level overview of operational health. Its intuitive navigation ensures users can pinpoint critical information with minimal effort. The "World Laboratories" logo is a fictional branding element and does not represent an actual organization.

This application is specifically designed to analyze microbial culture incubator data. Users simply upload raw data to generate interactive time-series charts. Integrated value boxes and data tables enable the rapid identification of non-compliances and temperature deviations.

This application enables rapid searching and analysis of Airbnb listings in Buenos Aires. Developed with the echarts4r package, the map offers high-performance interactivity, allowing users to explore the city’s rental landscape seamlessly. Integrated sliders and dropdown controllers provide precise data filtering, while dynamic tooltips display key apartment details instantly upon hover.