Coursework project based on undertaking an analysis of a real world dataset (housing data) using R language.
The scope of the project includes:
- Organising and cleaning the data
- subsetting the data into specific data subset allocated
- data quality analysis
- data cleaning
- Exploratory Data Analysis
- Modelling
- building a model for property price
- evaluating and critiquing the model using relevant diagnostics
- proposing eventual improvements to the model
- Planning and building second model for the variable urban indicator (urban.ind)
| Column Name | Column Description |
|---|---|
| Rooms | Number of rooms |
| Type | h - house, cottage, villa, semi, terrace; u - unit, duplex; t - townhouse |
| Price | Price in dollars (AUS) |
| Bedrooms | Number of bedrooms |
| Bathroom | Number of bathrooms |
| Car | Number of car parking spots |
| Landsize | Land size |
| BuildingArea | Building size |
| YearBuilt | Year a property was built |
| Distance | Distance from Commercial Business District (CBD) |
| PropertyCount | Number of properties that exist in the suburb |
| ID | Property identifier |
| urban.ind | Is property within 10 miles of the CBD? 1 - Yes, 0 - No |