AirPollution: Air Pollution Data
In gpk: 100 Data Sets for Statistics Education

Description Usage Format Details Source Examples

The goal is to understand the pollution dispersion as "Determinants of Air pollution"

1	data(AirPollution)

A data frame with 151 observations on the following 11 variables.

PM10: Particulate matter (size < 10 micorns)
Pb: lead content in PM10
Cd: cadmium content in PM10
Cu: copper content in PM10
Cr: chromium content in PM10
Zn: zinc content in PM10
NOx: Nitrogen oxide content in PM10
SO2: sulphur dioxide content in PM10
Site: The sites
Date: dates of the event
Season: Season of the year

The authors suggest that you try out Time series, ANOVA, and Regression on the data set.

http://ces.iisc.ernet.in/hpg/nvjoshi/statspunedatabook/databook.html

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data(AirPollution)
head(AirPollution)
plot.ts(AirPollution[,1:8],plot.type="multiple",main="Air Pollution")

    PM10   Pb   Cd   Cu   Cr Zn   NOx   SO2   Site       Date  Season
1 120.71 2.67 0.01 0.53 0.61  0 84.17 40.37 Mandai 2013-02-07 Summer 
2 140.25 3.49 0.02 0.10 0.91  0 88.81 39.48 Mandai 2013-02-14 Summer 
3 107.01 1.31 0.01 0.19 0.48  0 81.49 48.29 Mandai 2013-02-21 Summer 
4  88.81 0.76 0.00 0.33 0.39  0 61.80 27.42 Mandai 2013-02-28 Summer 
5  75.05 0.60 0.00 0.41 1.54  0 48.71 19.23 Mandai 2013-03-06 Summer 
6  64.41 0.52 0.00 0.69 0.42  0 30.47 17.46 Mandai 2013-03-13 Summer