/DS_project_toronto_housing_webscraping

Toronto Housing analysis using web-scraping tools

Primary LanguageJupyter Notebook

Housing Market, Web scrapping & Analysis

Data Collection, Analysis, Visualisation and Machine Learning

In this project I extract the data using Beautiful Soup library. I clean and manipulate the data using Pandas to end up with a structured data frame. Then, I analyze the data and identify interesting trends in the housing market and give a few recommendations for potential renters.

The first file is only the webscrapper The second part is the analysis and the recommendations

bedroom

Price vs Square