Realstate Market analysis& Web Scrap

Data Scraping with Python involved collecting real estate data from websites using BeautifulSoup, Requests, and Pandas

for cleaning and exporting to CSV. Data Analysis in Power BI included importing the data, applying transformations, and

creating visualizations like price trends, geographical insights, and property type distributions. Key Insights included price

movements, regional demand, property type trends, and market growth.