Code for our statisical analysis project
This project was mainly concerned with investigating and predicting resale prices based on a dataset from the open database provided by the Singapore government. With this initial dataset, we added GIS values and saw how well the values could predict resale price when trained on past years and predicted year 2025.
This was code needed to read in and get the coordinate data for the various datasets (MRT, Bus, HDB)
A comprehensive folder of all the datasets involved in our project, with a key folder showing which we used for our final modelling and testing
This is the code involved in our exploratory analysis and modelling
Housing & Development Board. (2021). Resale flat prices based on registration date from Jan-2017 onwards (2025) [Dataset]. data.gov.sg. Retrieved December 6, 2025 from https://data.gov.sg/datasets/d_8b84c4ee58e3cfc0ece0d773c8ca6abc/view
Land Transport Authority. (2019). LTA MRT Station Exit (GEOJSON) (2025) [Dataset]. data.gov.sg. Retrieved December 6, 2025 from https://data.gov.sg/datasets/d_b39d3a0871985372d7e1637193335da5/view
Land Transport Authority. (2025). DataMall – Dynamic datasets [Website]. https://datamall.lta.gov.sg/content/datamall/en/dynamic-data.html
Singapore Land Authority. (2025). OneMap API [Web service]. https://www.onemap.gov.sg/apidocs/search