R Dataset / Package datasets / swiss
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dataset-48809.csv | 1.62 KB |
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On this Picostat.com statistics page, you will find information about the swiss data set which pertains to Swiss Fertility and Socioeconomic Indicators (1888) Data. The swiss data set is found in the datasets R package. Try to load the swiss data set in R by issuing the following command at the console data("swiss"). This may load the data into a variable called swiss. If R says the swiss data set is not found, you can try installing the package by issuing this command install.packages("datasets") and then attempt to reload the data with library("datasets") followed by data("swiss"). 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 swiss 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 swiss R data set. The size of this file is about 1,660 bytes. Swiss Fertility and Socioeconomic Indicators (1888) DataDescriptionStandardized fertility measure and socio-economic indicators for each of 47 French-speaking provinces of Switzerland at about 1888. Usageswiss FormatA data frame with 47 observations on 6 variables, each of which is in percent, i.e., in [0, 100].
All variables but ‘Fertility’ give proportions of the population. Details(paraphrasing Mosteller and Tukey): Switzerland, in 1888, was entering a period known as the demographic transition; i.e., its fertility was beginning to fall from the high level typical of underdeveloped countries. The data collected are for 47 French-speaking “provinces” at about 1888. Here, all variables are scaled to [0, 100], where in the
original, all but NoteFiles for all 182 districts in 1888 and other years have been available at https://opr.princeton.edu/archive/pefp/switz.aspx. They state that variables SourceProject “16P5”, pages 549–551 in Mosteller, F. and Tukey, J. W. (1977) Data Analysis and Regression: A Second Course in Statistics. Addison-Wesley, Reading Mass. indicating their source as “Data used by permission of Franice van de Walle. Office of Population Research, Princeton University, 1976. Unpublished data assembled under NICHD contract number No 1-HD-O-2077.” ReferencesBecker, R. A., Chambers, J. M. and Wilks, A. R. (1988) The New S Language. Wadsworth & Brooks/Cole. Examplesrequire(stats); require(graphics) pairs(swiss, panel = panel.smooth, main = "swiss data", col = 3 + (swiss$Catholic > 50)) summary(lm(Fertility ~ . , data = swiss)) -- Dataset imported from https://www.r-project.org. |
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R Output | Date |
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Picostat Output - Numerical Summaries | Dec 3, 2022 |
Picostat Output - Correlation Coefficients | Nov 30, 2022 |
Picostat Output - Pie chart For Contingency Table | Nov 30, 2022 |
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