Introduction to tidycensuskr

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Key Functions Overview

• Data retrieval functions
• Geographic boundary functions
• Data transformation utilities
• Visualisation helpers

Data Structure (lookup table)

• Explanation of how census data is organised in the package
• Available geographic levels

Articles

1. Working with Korean Geographic Hierarchies

Understanding Sido → Sigungu → Eupmyeondong relationships Aggregating Eupmyeondong data to Sigungu level Handling administrative boundary changes Exercise: Calculate population-weighted PM2.5 exposure for each Sigungu in Seoul

2. Urban Development Analysis

Tracking population changes across census years Identifying rapidly growing Eupmyeondong New town development patterns Exercise: Analyse population shifts in Seoul Metropolitan Area (수도권)