R Dataset / Package Ecdat / USFinanceIndustry
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dataset-64755.csv | 3.98 KB |
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On this Picostat.com statistics page, you will find information about the USFinanceIndustry data set which pertains to US Finance Industry Profits. The USFinanceIndustry data set is found in the Ecdat R package. Try to load the USFinanceIndustry data set in R by issuing the following command at the console data("USFinanceIndustry"). This may load the data into a variable called USFinanceIndustry. If R says the USFinanceIndustry data set is not found, you can try installing the package by issuing this command install.packages("Ecdat") and then attempt to reload the data with library("Ecdat") followed by data("USFinanceIndustry"). 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 USFinanceIndustry 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 USFinanceIndustry R data set. The size of this file is about 4,073 bytes. US Finance Industry ProfitsDescriptionA Usagedata(USFinanceIndustry) Format A
DetailsThis is extracted from Table 6.16 of the National Income and Product Accounts (NIPA) compiled by the Bureau of Economic Analysis of the United States federal government. This table comes in four parts, A (1929-1947), B (1948-1987), C (1987-2000), and D (1998-present). Parts A, B, C and D contain different numbers of data elements, but the first five have the same names and are the only ones used here. The overlap between parts C and D (1998-2000) have a root mean square relative difference of 0.7 percent; there were no differences between the numbers in the overlap period between parts B and C (1987). This was created using the following command: demoDir <- system.file('demoFiles', package='Ecdat') demoCsv <- dir(demoDir, pattern='csv$', full.names=TRUE) nipa6.16 <- readNIPA(demoCsv) USFinanceIndustry <- as.data.frame(nipa6.16) names(USFinanceIndustry) <- c('year', 'CorporateProfitsAdj', 'Domestic', 'Financial', 'Nonfinancial', 'restOfWorld') USFinanceIndustry$FinanceProportion <- with(USFinanceIndustry, Financial/Domestic) Sourcehttp://www.bea.gov: Under "U.S. Economic Accounts", first
select "Corporate Profits" under "National". Then next to
"Interactive Tables", select, "National Income and Product Accounts
Tables". From there, select "Begin using the data...". Under
"Section 6 - income and employment by industry", select each of the
tables starting "Table 6.16". As of February 2013, there were 4 such
tables available: Table 6.16A, 6.16B, 6.16C and 6.16D. Each of the
last three are available in annual and quarterly summaries. The
See Also
Examplesdata(USFinanceIndustry) plot(FinanceProportion~year, USFinanceIndustry, type='b', ylim=c(0, max(FinanceProportion, na.rm=TRUE)), xlab='', ylab='', las=1, cex.axis=2, bty='n', lwd=2, col='blue')# Write to a file for Wikimedia Commons svg('USFinanceIndustry.svg') plot(FinanceProportion~year, USFinanceIndustry, type='b', ylim=c(0, max(FinanceProportion, na.rm=TRUE)), xlab='', ylab='', las=1, cex.axis=2, bty='n', lwd=2, col='blue') dev.off() -- Dataset imported from https://www.r-project.org. |
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