Description Usage Format Details Source Examples
The goal is to understand the pollution dispersion as "Determinants of Air pollution"
1 |
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
1 2 3 | 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
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.