.. _california_housing_dataset:California Housing dataset--------------------------**Data Set Characteristics:** :Number of Instances: 20640 :Number of Attributes: 8 numeric, predictive attributes and the target :Attribute Information: - MedInc median income in block group - HouseAge median house age in block group - AveRooms average number of rooms per household - AveBedrms average number of bedrooms per household - Population block group population - AveOccup average number of household members - Latitude block group latitude - Longitude block group longitude :Missing Attribute Values: NoneThis dataset was obtained from the StatLib repository.https://www.dcc.fc.up.pt/~ltorgo/Regression/cal_housing.htmlThe target variable is the median house value for California districts,expressed in hundreds of thousands of dollars ($100,000).This dataset was derived from the 1990 U.S. census, using one row per censusblock group. A block group is the smallest geographical unit for which the U.S.Census Bureau publishes sample data (a block group typically has a populationof 600 to 3,000 people).An household is a group of people residing within a home. Since the averagenumber of rooms and bedrooms in this dataset are provided per household, thesecolumns may take surpinsingly large values for block groups with few householdsand many empty houses, such as vacation resorts.It can be downloaded/loaded using the:func:`sklearn.datasets.fetch_california_housing` function... topic:: References - Pace, R. Kelley and Ronald Barry, Sparse Spatial Autoregressions, Statistics and Probability Letters, 33 (1997) 291-297
/usr/local/lib/python3.7/dist-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning)
