By Mary B. Breckenridge
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Additional resources for Age, Time, and Fertility. Applications of Exploratory Data Analysis
1 (a) Age-specific overall fertility rates by age group and (b) cumulative rates (- -) and proportion of total fertility (- -) by age cut for the cohorts aged 1 5 - 1 9 in 1895 and 1910. 3.
The principal analyses are therefore also carried out for the SYAC13 time sequence of fertility schedules for the birth cohorts of 1870/1871-1924/1925, with fertility histories completed at age 50 in 1920/ 1921-1974/1975 (Sweden, 1976; see Chapter IV, N o t e 1, on the dual year designation for these cohorts). The results of the SYAC13 analyses provide a basis for the interpretation of fitted parameters for all other sequences. To examine the geographic differences underlying the EHR analysis description of cross-sectional overall fertility change for the entire country, time sequences of overall fertility rates covering the period 1860-1970 are analyzed for each of the 25 counties.
Exploratory Data Analysis— The Philosophy and the Tools Exploratory data analysis is described by Tukey (1977) as systematic "detective work . . " It starts from the premise that there can be many valid perspectives on the same set of data, that is, many angles from which the same body of information can be examined. The view from some angles will be more informative than from others. The value to us of a particular view will depend on our purposes—how w e want to use what w e have seen. A particular view can, however, have unexpected value if it suggests the presence of a pattern that w e had not previously suspected.