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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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+ ---
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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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+
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+ # Housing NSW Dataset
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+
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+ ## Dataset Description
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+
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+ Comprehensive property market data for New South Wales, Australia.
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+
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+ ### Contents
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+
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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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+
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+ ### Key Features
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+
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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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+
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+ ## Usage
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ # Load the dataset
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+ dataset = load_dataset("thehooklab/housing-nsw")
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+
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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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+
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+ ## Data Quality
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+
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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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+
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+ ## License
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+
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+ MIT License
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+
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+ ## Citation
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+
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+ If you use this dataset, please cite:
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+
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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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+ ```
master-datasets/nsw_property_master_enriched.csv ADDED
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