This section describes main characteristics of the Pollution data set and its attributes:
General information
Pollution data set |
Type | Unsupervised | Origin | Real world |
Features | 16 | (Real / Integer / Nominal) | (16 / 0 / 0) |
Instances | 60 | Missing values? | No |
Attribute description
Attribute | Domain | Attribute | Domain |
PRECReal | [10.0, 60.0] | NONWReal | [0.8, 38.5] |
JANTReal | [12.0, 67.0] | WWDRKReal | [33.8, 59.7] |
JULTReal | [63.0, 85.0] | POORReal | [9.4, 26.4] |
OVR65Real | [5.6, 11.8] | HCReal | [1.0, 648.0] |
POPNReal | [2.92, 3.53] | NOXReal | [1.0, 319.0] |
EDUCReal | [9.0, 12.3] | SO@Real | [1.0, 278.0] |
HOUSReal | [66.8, 90.7] | HUMIDReal | [38.0, 73.0] |
DENSReal | [1441.0, 9699.0] | MORTReal | [790.733, 1113.156] |
Additional information
This datasets was proposed in McDonald, G.C. and Schwing, R.C. (1973) 'Instabilities of regression estimates relating air pollution to mortality', Technometrics, vol.15, 463-482. It contains 16 attributes describing 60 different pollution scenarios. The attributes are the following:
1) PRECReal: Average annual precipitation in inches
2) JANTReal: Average January temperature in degrees F
3) JULTReal: Same for July
4) OVR65Real: of 1960 SMSA population aged 65 or older
5) POPNReal: Average household size
6) EDUCReal: Median school years completed by those over 22
7) HOUSReal: of housing units which are sound and with all facilities
8) DENSReal: Population per sq. mile in urbanized areas, 1960
9) NONWReal: non-white population in urbanized areas, 1960
10) WWDRKReal: employed in white collar occupations
11) POORReal: of families with income less than $3000
12) HCReal: Relative hydrocarbon pollution potential
13) NOXReal: Same for nitric oxides
14) SO@Real: Same for sulphur dioxide
15) HUMIDReal: Annual average % relative humidity at 1pm
16) MORTReal: Total age-adjusted mortality rate per 100,000
In this section you can download some files related to the Pollution data set:
- The complete data set already formatted in KEEL format can be downloaded from
here.
- The header file associated to this data set can be downloaded from here.
- This is not a native data set from the KEEL project. It has been obtained from the Bilkent University Function Approximation Repository. The original page where the data set can be found is: http://funapp.cs.bilkent.edu.tr/DataSets/.
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