Daily measurements of ozone concentration, wind speed, temperature, and solar radiation in New York City for 153 consecutive days between May 1 and September 30, 1973.
The data frame
Environmental.df has 153 observations on the following 4 variables.
Average ozone concentration (of hourly measurements) of in parts per billion.
Solar radiation (from 08:00 to 12:00) in langleys.
Maximum daily temperature in degrees Fahrenheit.
Average wind speed (at 07:00 and 10:00) in miles per hour.
Row names are the dates the data were collected.
The data frame
Air.df is the same as
Environmental.df except that the
ozone is the cube root of average ozone concentration.
Data on ozone (ppb), solar radiation (langleys), temperature (degrees Fahrenheit), and wind speed (mph)
for 153 consecutive days between May 1 and September 30, 1973. These data are a superset of the data
contained in the data frame
environmental in the package lattice.
Chambers et al. (1983), pp. 347-349.
Chambers, J.M., W.S. Cleveland, B. Kleiner, and P.A. Tukey. (1983). Graphical Methods for Data Analysis. Duxbury Press, Boston, MA, 395pp.
Cleveland, W.S. (1993). Visualizing Data. Hobart Press, Summit, New Jersey, 360pp.
Cleveland, W.S. (1994). The Elements of Graphing Data. Revised Edition. Hobart Press, Summit, New Jersey, 297pp.
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# Scatterplot matrix pairs(Environmental.df) pairs(Air.df) # Time series plot for ozone attach(Environmental.df) dates <- as.Date(row.names(Environmental.df), format = "%m/%d/%Y") plot(dates, ozone, type = "l", xlab = "Time (Year = 1973)", ylab = "Ozone (ppb)", main = "Time Series Plot of Daily Ozone Measures") detach("Environmental.df") rm(dates)
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