House Pricing Analysis

In this document I give a brief intro about the project, what I found and info about the dataset I used The Data Set:- I used the Housing prices dataset from kaggle Attached is file that contains the description of the fields in the Data set and after cleaning it consists of 1199 rows and 62 columns

In the attached slides presentation I explained my findings :-

• The most correlated numerical features with the Sales price are[ the overall quality of a house, its basement, its garage capacity , the ground living area and the garage area]
• The most common neighborhoods are [NAmes, CollgCR,,Oldtown, Edwards and Somerst]
• The most expensive neighborhoods are [StoneBr,NindgHT,NoRedge,Tember,Vedkeer]
• The most common sale type is the [WD] sale type
• The most common sale condition is the[Normal] sale condition
• There is a positive linear relationship between the sale price and the area
• The relationship between the sale price, area and the zoning classification[ We can see that the [‘Residential Low Density’] classification zone is the most popular, most expensive and has the largest areas
• The price of the houses related to the year the house was built in[there is no linear relationship between the building year and the price]