GitHub - CenterForTheBuiltEnvironment/CN-db: Ruiji's PhD dissertation Chapter 3

The Jupyter Notebook documents all the code for data cleaning, wrangling, and regression discontinuity analysis
The environment requirements are specified in the requirement.txt
The data used is downloaded from: https://osf.io/d465n/
The published paper is available on: https://doi.org/10.1016/j.indenv.2025.100080

Note: the Chinese Thermal Comfort Database paper is: https://doi.org/10.1038/s41597-023-02568-3

Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
CN_DB.csv		CN_DB.csv
CN_DB_CITY.csv		CN_DB_CITY.csv
Chinese Thermal Comfort Dataset Class I.csv		Chinese Thermal Comfort Dataset Class I.csv
Chinese Thermal Comfort Dataset Class II.csv		Chinese Thermal Comfort Dataset Class II.csv
Chinese Thermal Comfort Dataset Class III.csv		Chinese Thermal Comfort Dataset Class III.csv
Data_cleaning.ipynb		Data_cleaning.ipynb
Data_grouping.ipynb		Data_grouping.ipynb
Data_regression_discontinuity.ipynb		Data_regression_discontinuity.ipynb
README.md		README.md
requirements.txt		requirements.txt

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