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