47 lines
1.7 KiB
ReStructuredText
47 lines
1.7 KiB
ReStructuredText
.. _california_housing_dataset:
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California Housing dataset
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**Data Set Characteristics:**
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:Number of Instances: 20640
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:Number of Attributes: 8 numeric, predictive attributes and the target
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:Attribute Information:
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- MedInc median income in block group
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- HouseAge median house age in block group
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- AveRooms average number of rooms per household
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- AveBedrms average number of bedrooms per household
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- Population block group population
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- AveOccup average number of household members
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- Latitude block group latitude
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- Longitude block group longitude
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:Missing Attribute Values: None
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This dataset was obtained from the StatLib repository.
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https://www.dcc.fc.up.pt/~ltorgo/Regression/cal_housing.html
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The target variable is the median house value for California districts,
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expressed in hundreds of thousands of dollars ($100,000).
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This dataset was derived from the 1990 U.S. census, using one row per census
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block group. A block group is the smallest geographical unit for which the U.S.
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Census Bureau publishes sample data (a block group typically has a population
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of 600 to 3,000 people).
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An household is a group of people residing within a home. Since the average
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number of rooms and bedrooms in this dataset are provided per household, these
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columns may take surpinsingly large values for block groups with few households
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and many empty houses, such as vacation resorts.
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It can be downloaded/loaded using the
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:func:`sklearn.datasets.fetch_california_housing` function.
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.. topic:: References
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- Pace, R. Kelley and Ronald Barry, Sparse Spatial Autoregressions,
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Statistics and Probability Letters, 33 (1997) 291-297
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