A vision of Britain from 1801 to now.
Including maps, statistical trends and historical descriptions.
Variables serve as the dimensions of nCubes, and are generally based on the questions on forms such as the census schedule. However, in the aggregate data held in the Vision of Britain system we do not store the individual responses but counts of the number of each kind of response, so variables are made up of categories, such as age groups.
Datasets or nCubes, containing the actual data:
Entity ID | Entity Name |
---|---|
N_AGCEN_CATTLE_1920 | Categories of Cattle as reported by the Agricultural Census. |
Variable Groups, bringing together related variables:
Entity ID | Entity Name |
---|---|
VG_AGCEN_CATTLE | Cattle |
Variables, defining what data was gathered for:
Entity ID | Entity Name |
---|---|
V_AGCEN_CATTLE_GEN | Agricultural Census Generalised Cattle Categories |
Categories, defining the values available for each variable :
Entity ID | Entity Name |
---|---|
C_AGCEN_CATTLE_1920_1 | Cows & Heifers in Milk |
C_AGCEN_CATTLE_1920_2 | Cows in Calf but not in Milk |
C_AGCEN_CATTLE_1920_3 | Heifers in Calf |
C_AGCEN_CATTLE_1920_4 | Bulls used for Service |
C_AGCEN_CATTLE_1920_5 | Other, 2 years & above |
C_AGCEN_CATTLE_1920_6 | Other, under 2 years |
C_AGCEN_CATTLE_1920_7 | Other, under 1 year |