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https://github.com/arunsathiya/real-estate-web-scraping-and-analysis


https://github.com/arunsathiya/real-estate-web-scraping-and-analysis

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## Data analysis project using Python programming

In this project, Python is used to gather data from a housing research website, and analysis is made on the data gathered.

## Libraries used

- bs4 is the BeautifulSoup library used for parsing HTML and XML documents.
- pandas is a library used for data manipulation and analysis.
- numpy is a library used for mathematical operations on arrays and matrices.
- requests is a library used for making HTTP requests to websites.
- re is a regular expression library used for pattern matching and string manipulation.
- Seaborn is a library for data visualization built on top of matplotlib
- Matplotlib is a plotting library for creating static, animated, and interactive visualizations in Python

## Sample of researches made

- Exploratory data analysis
- Price distribution across houses
- Average Increase in House Price for each city
- Factors that affect house prices
- Average housing prices by cities
- Effects of bedroom count on house prices
- Average bath per price
- County-wise Average price per Square Feet

## Models used

- OLS - Multiple Linear Regression
- Predictive analysis
- Residual plots