radon

• Description:

Radon is a radioactive gas that enters homes through contact points with the ground. It is a carcinogen that is the primary cause of lung cancer in non-smokers. Radon levels vary greatly from household to household. This dataset contains measured radon levels in U.S homes by county and state. The 'activity' label is the measured radon concentration in pCi/L. Important predictors are 'floor' (the floor of the house in which the measurement was taken), 'county' (the U.S. county in which the house is located), and 'Uppm' (a measurement of uranium level of the soil by county).

• Homepage: http://www.stat.columbia.edu/~gelman/arm/examples/radon/

• Source code: tfds.datasets.radon.Builder

• Versions:

  • 1.0.0 (default): No release notes.

• Download size: 1.71 MiB

• Dataset size: 9.15 MiB

• Auto-cached (documentation): Yes

• Splits:

Split	Examples
'train'	12,573

• Feature structure:

FeaturesDict({
    'activity': float32,
    'features': FeaturesDict({
        'Uppm': float32,
        'adjwt': float32,
        'basement': string,
        'cntyfips': int32,
        'county': string,
        'dupflag': int32,
        'floor': int32,
        'idnum': int32,
        'lat': float32,
        'lon': float32,
        'pcterr': float32,
        'region': int32,
        'rep': int32,
        'room': int32,
        'startdt': int32,
        'starttm': int32,
        'state': string,
        'state2': string,
        'stfips': int32,
        'stopdt': int32,
        'stoptm': int32,
        'stratum': int32,
        'typebldg': int32,
        'wave': int32,
        'windoor': string,
        'zip': int32,
        'zipflag': int32,
    }),
})

• Feature documentation:

Feature	Class	Shape	Dtype	Description
	FeaturesDict
activity	Tensor		float32
features	FeaturesDict
features/Uppm	Tensor		float32
features/adjwt	Tensor		float32
features/basement	Tensor		string
features/cntyfips	Tensor		int32
features/county	Tensor		string
features/dupflag	Tensor		int32
features/floor	Tensor		int32
features/idnum	Tensor		int32
features/lat	Tensor		float32
features/lon	Tensor		float32
features/pcterr	Tensor		float32
features/region	Tensor		int32
features/rep	Tensor		int32
features/room	Tensor		int32
features/startdt	Tensor		int32
features/starttm	Tensor		int32
features/state	Tensor		string
features/state2	Tensor		string
features/stfips	Tensor		int32
features/stopdt	Tensor		int32
features/stoptm	Tensor		int32
features/stratum	Tensor		int32
features/typebldg	Tensor		int32
features/wave	Tensor		int32
features/windoor	Tensor		string
features/zip	Tensor		int32
features/zipflag	Tensor		int32

• Supervised keys (See as_supervised doc): ('features', 'activity')

• Figure (tfds.show_examples): Not supported.

• Examples (tfds.as_dataframe):

• Citation:

@book{GelmanHill:2007,
  author = {Gelman, Andrew and Hill, Jennifer},
  title = {Data Analysis Using Regression and Multilevel/Hierarchical Models},
  publisher = {Cambridge University Press},
  series = {Analytical methods for social research},
  year = 2007
}