案例展示
COVID-19 追踪器
2019年12月中国武汉报告首例新冠重症病例，疫情1月中旬加速扩散并跨国传播。本网站基于约翰斯·霍普金斯大学数据每日更新，旨在透过新闻标题深层解析疫情传播速度、防控成效及与过往流行病对比。曾获《对话》杂志报道，BBC《科学在行动》节目收录。如需高频更新，可访问JHU新冠仪表盘。
COVID-19 Tracker: In Dec 2019, severe respiratory cases emerged in Wuhan, China, caused by novel coronavirus (COVID-19). Cases escalated mid-Jan and spread globally. Updated daily with JHU data, this site decodes headlines to analyze transmission speed, control efficacy, and epidemic comparisons. Featured in The Conversation and BBC Science in Action.
营养计算器
营养计算器是一款Shiny仪表盘应用，用户可从CNF数据库便捷搜索并添加多种食材，计算卡路里、钠等整体营养数据，并以每日推荐摄入量百分比展示营养含量。顶部会高亮显示总卡路里，以及超过100%和50%日值的营养素。同时通过独立条形图可视化展示宏量营养素、矿物质和维生素的日值占比。
Nutrition Calculator: This Shiny dashboard allows users to search and add multiple ingredients from the CNF database, calculate overall nutrition data (e.g., calories, sodium), and display nutrient amounts as % of daily recommended values.
ShinyMRI
这款应用通过纯R语言Shiny机制实现3D MRI图像的交互式可视化。曾获2019年Shiny竞赛荣誉提名。
ShinyMRI: This app interactively visualizes 3D MRI images using pure R Shiny mechanism. It was awarded an honorable mention in the 2019 Shiny Contest.
抗菌药物使用优化系统
这款Shiny应用专为一家拥有1339张床位的学术三级转诊医院开发，可处理超18万例入院患者数据。用户能通过17项筛选条件对患者群体进行细分，深入分析抗菌药物使用情况、微生物诊断手段及结果（含耐药性数据），以及住院时长等治疗结局。系统支持按患者特征对结果进行分层分组，便于对比不同患者群体。
Antimicrobial Optimization System: Developed for a 1,339-bed academic tertiary hospital, this Shiny app processes data from over 180,000 admissions. Users can filter patient groups via 17 criteria to analyze antimicrobial usage, microbiological diagnostics, and treatment outcomes.
