Category | Coursework | Subject | Mathematics |
---|---|---|---|
University | Robert Gordon University | Module Title | CM1119 Problem Solving and Maths |
You are an analyst at a New York real estate firm, and your role includes needing to analyse data to understand the property market, and devise solutions problems related to the construction of new homes.
Your boss has recently given you two tasks: the first is to analyse and understand a set of data relating to properties bought and sold in various boroughs. The second is to present a recommendation for where a set of new homes should be build.
You have two sets of property sales records from two different boroughs. You need to perform the following sub-tasks:
1. Borough A Properties:
Property 1: {BOROUGH: “Manhattan”, NEIGHBORHOOD: “Midtown”, BUILDING CLASS
CATEGORY: “Residential”, TAX CLASS AT PRESENT: 2, BLOCK: 101, LOT: 1, EASEMENT: NA,
BUILDING CLASS AT PRESENT: “A”, ADDRESS: “123 Main St”, APARTMENT NUMBER: 1A, ZIP CODE: 10001, RESIDENTIAL UNITS: 10, COMMERCIAL UNITS: 2, TOTAL UNITS: 12, LAND SQUARE FEET: 5000, GROSS SQUARE FEET: 15000, YEAR BUILT: 2000, TAX CLASS AT TIME OF SALE: 2, BUILDING CLASS AT TIME OF SALE: “A”, SALE PRICE: 5000000, SALE DATE: “2023-01- 15”}
Property 2: {BOROUGH: “Manhattan”, NEIGHBORHOOD: “Downtown”, BUILDING CLASS
CATEGORY: “Commercial”, TAX CLASS AT PRESENT: 4, BLOCK: 102, LOT: 2, EASEMENT: NA, BUILDING CLASS AT PRESENT: “B”, ADDRESS: “456 Market St”, APARTMENT NUMBER: NA, ZIP CODE: 10002, RESIDENTIAL UNITS: 0, COMMERCIAL UNITS: 5, TOTAL UNITS: 5, LAND SQUARE FEET: 8000, GROSS SQUARE FEET: 24000, YEAR BUILT: 1995, TAX CLASS AT TIME OF SALE: 4, BUILDING CLASS AT TIME OF SALE: “B”, SALE PRICE: 8000000, SALE DATE: “2023-02- 20”}
2. Borough B Properties:
Property 3: {BOROUGH: “Brooklyn”, NEIGHBORHOOD: “Williamsburg”, BUILDING CLASS CATEGORY: “Residential”, TAX CLASS AT PRESENT: 2, BLOCK: 201, LOT: 3, EASEMENT: NA,
BUILDING CLASS AT PRESENT: “A”, ADDRESS: “789 Park Ave”, APARTMENT NUMBER: 2B, ZIP CODE: 11211, RESIDENTIAL UNITS: 8, COMMERCIAL UNITS: 1, TOTAL UNITS: 9, LAND SQUARE FEET: 6000, GROSS SQUARE FEET: 18000, YEAR BUILT: 2010, TAX CLASS AT TIME OF SALE: 2, BUILDING CLASS AT TIME OF SALE: “A”, SALE PRICE: 6000000, SALE DATE: “2023-03- 10”}
Property 4: {BOROUGH: “Brooklyn”, NEIGHBORHOOD: “Bushwick”, BUILDING CLASS
CATEGORY: “Commercial”, TAX CLASS AT PRESENT: 4, BLOCK: 202, LOT: 4, EASEMENT: NA, BUILDING CLASS AT PRESENT: “B”, ADDRESS: “1010 Broadway”, APARTMENT NUMBER: NA, ZIP CODE: 11221, RESIDENTIAL UNITS: 0, COMMERCIAL UNITS: 3, TOTAL UNITS: 3, LAND SQUARE FEET: 7000, GROSS SQUARE FEET: 21000, YEAR BUILT: 2005, TAX CLASS AT TIME OF SALE: 4, BUILDING CLASS AT TIME OF SALE: “B”, SALE PRICE: 7000000, SALE DATE: “2023-04- 05”}
The firm has identified four possible sites for new construction, with each connected via road and rail. Each site has different transportation costs for getting construction materials to the site, and removing waste. There are also various local opinions that must be taken into account when creating a final recommendation.
You have two sub-tasks:
The output from these sub-tasks should be your final recommendation for a site. You may supplement the provided evidence own research. You may use a generative AI tool (such as Chat GPT) to produce resources that support your investigation (e.g., generating an argument that you subsequently analyse). If you do use a generative AI tool you must fully acknowledge this. It is also expected that you will take the source into account as part of your analysis.
As a guideline, it is expected that you will:
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