MN-M534 - House Sales Case Study - Property Management Assignment Help

Assignment Task

The property market is constantly evolving and adapting. Real Estate is a safe haven in uncertain times, with real estate assets tending to hold their value in volatile cycles. And New York City (NYC) history shows, that no matter where the market goes (up OR DOWN), NYC always recovers and recovers greatly and stronger than most other markets in the world. Douglas Elliman real estate agents have contacted Buxton Analytics to undertake some exploratory analysis into the real estate in New York in order to better attract investors into the real estate market.
The following variables are included in the data set:

• No (ID)
• Location (x9)
• Type
• Selling Price
• Size (ft2)
• Date of Sale
• House Age (years)
• Number of bedrooms
• Lift in the building
• Distance to the nearest Subway station (meters)
• Convenience stores within 1 block radius

With investors in mind, Douglas Elliman have asked Buxton Analytics to perform an exploratory market analysis to determine the following:
1. Does the square footage of an apartment affect the sale price?
2. Suggest three more variables that are likely to influence the sale price of an apartment?
3. After completing the above analysis are there any issues within the data set that ned to be addressed?

The following types of analytics will be performed on the accompanying data set:
1. Descriptive Statistics
2. Correlation
3. Forecasting
4. Simulation

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