project // dashboard // r shiny
Toronto Housing Need Explorer_
An interactive dashboard that visualizes Toronto’s housing disparities using harmonized census data (2016–2021). Built with robust data-cleaning pipelines to reconcile disjoint dataset definitions and geography boundaries.
一个交互式可视化仪表盘，用统一处理后的 2016–2021 人口普查数据展示多伦多住房差异。 重点解决跨年份数据口径/地理边界不一致问题，建立可靠的数据清洗与对齐流程。
R
R Shiny
Data Wrangling
Census 2016–2021
Role
Technical Lead & PM
End-to-End Delivery
Scope
Dashboard / Pipeline
Data
Toronto Census
What I Built
lifecycle // planning → implementation → deployment
- • Engineered data cleaning algorithms to harmonize disjoint census datasets (2016–2021), ensuring consistent indicators and comparable geographies.
- • Implemented interactive exploration flows in Shiny (filters, drill-downs, and narrative scaffolding) to support policy-oriented reading.
- • Managed scope, milestones, and integration of data + visualization components as the technical lead.
- • 设计并实现跨年份人口普查数据清洗与对齐算法，统一口径与地理边界，确保指标可比性（2016–2021）。
- • 在 Shiny 中构建交互探索流程（筛选、下钻、叙事引导），支持“政策阅读”的使用场景。
- • 作为技术负责人兼 PM 统筹范围、里程碑与数据/可视化集成交付。
Tech Stack
core tools
R / Tidyverse
wrangling / transforms
R Shiny
interactive dashboard
Deployment
shinyapps.io
Primary Link
live build