R Dataset / Package DAAG / jobs
Attachment | Size |
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dataset-54672.csv | 133.59 KB |
Documentation |
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On this Picostat.com statistics page, you will find information about the jobs data set which pertains to Canadian Labour Force Summary Data (1995-96). The jobs data set is found in the DAAG R package. Try to load the jobs data set in R by issuing the following command at the console data("jobs"). This may load the data into a variable called jobs. If R says the jobs data set is not found, you can try installing the package by issuing this command install.packages("DAAG") and then attempt to reload the data with library("DAAG") followed by data("jobs"). Perhaps strangley, if R gives you no output after entering a command, it means the command succeeded. If it succeeded you can see the data by typing jobs at the command-line which should display the entire dataset. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the jobs R data set. The size of this file is about 136,796 bytes. Canadian Labour Force Summary Data (1995-96)DescriptionThe number of workers in the Canadian labour force broken down by region (BC, Alberta, Prairies, Ontario, Quebec, Atlantic) for the 24-month period from January, 1995 to December, 1996 (a time when Canada was emerging from a deep economic recession). Usagejobs FormatThis data frame contains the following columns:
DetailsThese data have been seasonally adjusted. SourceStatistics Canada Examplesprint("Multiple Variables and Times - Example 2.1.4") sapply(jobs, range) pause()matplot(jobs[,7], jobs[,-7], type="l", xlim=c(95,97.1)) # Notice that we have been able to use a data frame as the second argument to matplot(). # For more information on matplot(), type help(matplot) text(rep(jobs[24,7], 6), jobs[24,1:6], names(jobs)[1:6], adj=0) pause()sapply(log(jobs[,-7]), range) apply(sapply(log(jobs[,-7]), range), 2, diff) pause()oldpar <- par(mfrow=c(2,3)) range.log <- sapply(log(jobs[,-7], 2), range) maxdiff <- max(apply(range.log, 2, diff)) range.log[2,] <- range.log[1,] + maxdiff titles <- c("BC Jobs","Alberta Jobs","Prairie Jobs", "Ontario Jobs", "Quebec Jobs", "Atlantic Jobs") for (i in 1:6){ plot(jobs$Date, log(jobs[,i], 2), type = "l", ylim = range.log[,i], xlab = "Time", ylab = "Number of jobs", main = titles[i]) } par(oldpar) -- Dataset imported from https://www.r-project.org. |
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R Output | Date |
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Picostat Output - Numerical Summaries | Mar 20, 2019 |
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