| swiss {datasets} | R Documentation |
Swiss Fertility and Socioeconomic Indicators (1888) Data
Description
Standardized fertility measure and socioeconomic indicators for each of 47 French-speaking provinces of Switzerland at about 1888.
Usage
swissFormat
A data frame with 47 observations on 6 variables, each of which
is in percent, i.e., in [0, 100].
| [,1] | Fertility | I_g,
‘common standardized fertility measure’ |
| [,2] | Agriculture | % of males involved in agriculture as occupation |
| [,3] | Examination | % draftees receiving highest mark on army examination |
| [,4] | Education | % education beyond primary school for draftees. |
| [,5] | Catholic | % ‘catholic’ (as opposed to ‘protestant’). |
| [,6] | Infant.Mortality | live births who live less than 1 year. |
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 Catholic were scaled to [0, 1].
Note
Files for all 182 districts in 1888 and other years are available via https://opr.princeton.edu/princeton-european-fertility-project, currently at https://opr.princeton.edu/switzerland-socio-economic-variables-1870-1930.
They state that variables Examination and Education
are averages for 1887, 1888 and 1889.
Source
Project “16P5”, pages 549–551 in
Mosteller F., Tukey J. W. (1977). Data Analysis and Regression: A Second Course in Statistics. Addison-Wesley, Reading, MA. ISBN 020104854X.
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 Unpublished data assembled under NICHD contract number No 1-HD-O-2077.”
References
Becker R. A., Chambers J. M., Wilks A. R. (1988). The New S Language. Chapman and Hall/CRC, London.
Examples
require(stats); require(graphics)
pairs(swiss, panel = panel.smooth, main = "swiss data",
col = 3 + (swiss$Catholic > 50))
summary(lm(Fertility ~ . , data = swiss))