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.gitattributes
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master_datasets/nsw_market_analytics_master.xlsx filter=lfs diff=lfs merge=lfs -text
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master_datasets/nsw_property_master_enriched.csv filter=lfs diff=lfs merge=lfs -text
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master_datasets/nsw_property_sales_master.csv filter=lfs diff=lfs merge=lfs -text
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master_datasets/nsw_market_analytics_master.xlsx filter=lfs diff=lfs merge=lfs -text
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master_datasets/nsw_property_master_enriched.csv filter=lfs diff=lfs merge=lfs -text
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master_datasets/nsw_property_sales_master.csv filter=lfs diff=lfs merge=lfs -text
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master-datasets/nsw_property_sales_master.csv filter=lfs diff=lfs merge=lfs -text
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master-datasets/.DS_Store
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Binary file (6.15 kB). View file
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master-datasets/README.md
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---
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license: mit
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task_categories:
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- tabular-regression
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- time-series-forecasting
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language:
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- en
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tags:
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- real-estate
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- housing
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- australia
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- nsw
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- property-prices
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size_categories:
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- 1M<n<10M
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---
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# Housing NSW Dataset
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## Dataset Description
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Comprehensive property market data for New South Wales, Australia.
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### Contents
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- **Property Sales** (`nsw_property_sales_master.csv`): 3.49M historical property transactions from 1990-2024
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- **Enriched Properties** (`nsw_property_master_enriched.csv`): 83.5K properties with detailed analytics including market indicators, demographic data, and transport accessibility
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- **Rental Market** (`nsw_rental_market_master.csv`): 48.2K rental bond records with pricing data
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### Key Features
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- Property prices and sale dates
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- Property characteristics (bedrooms, bathrooms, land area)
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- Location data (suburb, postcode, some with lat/lon)
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- Market analytics (median prices, growth potential, rental yields)
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- Demographic indicators (income, population)
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- Transport accessibility scores
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- School ratings and crime indices
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## Usage
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```python
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from datasets import load_dataset
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# Load the dataset
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dataset = load_dataset("thehooklab/housing-nsw")
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# Access the data
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sales_data = dataset['train'] # All data is in the 'train' split
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```
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## Data Quality
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- All numeric columns have been validated and non-numeric values converted to NaN
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- String columns are properly encoded
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- Files are tested for PyArrow compatibility
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## License
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MIT License
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## Citation
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If you use this dataset, please cite:
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```
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@dataset{housing_nsw_2024,
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title={Housing NSW Dataset},
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author={TheHookLab},
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year={2024},
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publisher={HuggingFace}
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}
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```
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master-datasets/nsw_property_master_enriched.csv
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master-datasets/nsw_property_sales_master.csv
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version https://git-lfs.github.com/spec/v1
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oid sha256:64cdaf4f47a04cfe4f73b913e9248719e2e954c9806da51021c37b0705a15129
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size 400056566
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master-datasets/nsw_rental_market_master.csv
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