This dataset contains 22 rows (cases) and the following 9 columns (Boolean factors):rll{
[ , 1] PG high population growth
[ , 2] RB high rurbanization (i.e. people moving to previously sparsely populated areas that are
not adjacent to a larger city)
[ , 3] EL high increase in education levels
[ , 4] SE high degree of secularization
[ , 5] CS existence of Christian strongholds
[ , 6] OD high organizational density
[ , 7] PC existence of polycephality (i.e. municipalities with multiple centers)
[ , 8] UP existence urban proximity
[ , 9] VO2 very high volatility of grassroots associations
}