Name: UCI ML Datasets
Creator: Kaggle
License: http://opendatacommons.org/licenses/dbcl/1.0/

About this Dataset

UCI ML Datasets

Context

This is a Data Set from UCI Machine Learning Repository which concerns housing values in suburbs of Boston.

Content

Number of Instances: 506

Attribute Information:

CRIM: per capita crime rate by town
ZN: proportion of residential land zoned for lots over 25,000 sq.ft.
INDUS: proportion of non-retail business acres per town
CHAS: Charles River dummy variable (= 1 if tract bounds river; 0 otherwise)
NOX: nitric oxides concentration (parts per 10 million)
RM: average number of rooms per dwelling
AGE: proportion of owner-occupied units built prior to 1940
DIS: weighted distances to five Boston employment centres
RAD: index of accessibility to radial highways
TAX: full-value property-tax rate per $10,000
PTRATIO: pupil-teacher ratio by town
B: 1000(Bk - 0.63)^2 where Bk is the proportion of blacks by town
LSTAT: % lower status of the population
MEDV: Median value of owner-occupied homes in $1000's

Missing Attribute Values: None

Acknowledgements

Source: https://archive.ics.uci.edu/ml/datasets/Housing
Origin: This dataset was taken from the StatLib library which is maintained at Carnegie Mellon University.
Creator:
Harrison, D. and Rubinfeld, D.L.
'Hedonic prices and the demand for clean air', J. Environ. Economics & Management, vol.5, 81-102, 1978.

Tables

Hou All

@kaggle.heptapod_uci_ml_datasets.hou_all

33.1 kB
505 rows
15 columns

CREATE TABLE hou_all (
  "n_0_00632" DOUBLE  -- 0.00632,
  "n_18" DOUBLE  -- 18,
  "n_2_31" DOUBLE  -- 2.31,
  "n_0" BIGINT  -- 0,
  "n_0_538" DOUBLE  -- 0.538,
  "n_6_575" DOUBLE  -- 6.575,
  "n_65_2" DOUBLE  -- 65.2,
  "n_4_09" DOUBLE  -- 4.09,
  "n_1" BIGINT  -- 1,
  "n_296" BIGINT  -- 296,
  "n_15_3" DOUBLE  -- 15.3,
  "n_396_9" DOUBLE  -- 396.9,
  "n_4_98" DOUBLE  -- 4.98,
  "n_24" DOUBLE  -- 24,
  "n_1_1" BIGINT  -- 1.1
);