Forecasting dwelling prices in the City of Madrid: a comprehensive analysis of the Real Estate market
This repository has been created to store my Master's Thesis work as a student of Master in Computational Social Science in University Carlos III of Madrid.
This project is about the Real Estate market prices in the area of Madrid City. The idea is to make an introduction of the situation that motivates the work and then incorporate some external variables to try to enhance predictive power. Finally, it is desired to find out a tool which allows to predict well prices.
This project uses R languaje and RStudio to run the code. All along the work, as explained there, several packages and libraries are needed.
The recommended steps to carry out to understand the project and follow the workflow is to read the document together with executing the corresponding markdown (.Rmd). All plots created in R are also shown in the written document, nevertheless, many affirmations and conclusions extracted come from the .Rmd. Markdown structure is the following:
- house_prices_I.Rmd corresponds to sections 1. INTRODUCTION and 2. ANALYSIS OF THE SITUATION
- house_prices_II.Rmd corresponds to section 3. DATA EXTRACTION AND PREPROCESSING
- house_prices_III.Rmd corresponds to sections 4. MODELLING and 5. CONCLUSIONS
The user will also find associated .html files for house_prices_I.Rmd and house_prices_II.Rmd. For the third case it has not been possible to upload the .html file due to computational limitations of my computer.
In this repository the reader can find all necessary files to read and run the project.
Maria del Mar Escalas Martorell