Function that returns a dataset
Details
FIFA2018ABCD: A hierarchy table based on countries within groups A-D in the football championship, 2018 FIFA World Cup.
sprt_emp: Employment in sport in thousand persons. Data from Eurostat database.
sprt_emp_geoHier: Country hierarchy for the employment in sport data.
sprt_emp_ageHier: Age hierarchy for the employment in sport data.
sprt_emp_withEU: The data set sprt_emp extended with a EU variable.
sp_emp_withEU: As sprt_emp_withEU, but coded differently.
example1 Example data similar to sp_emp_withEU.
magnitude1: Example data for magnitude tabulation. Same countries as above.
my_km2: Fictitious grid data.
mun_accidents: Fictitious traffic accident by municipality data.
sosialFiktiv, z1, z1w, z2, z2w, z3, z3w, z3wb: See sosialFiktiv.
d4, d1, d1w, d2, d2w, d3, d3w, d3wb: English translation of the datasets above.
d2s, d2ws: d2 and d2w modified to smaller/easier data.
power10to1, power10to2, \(\ldots\): power10to\(i\) is hierarchical data with \(10^i\) rows and \(2*i\) columns.
Tip: Try FindDimLists(SSBtoolsData("power10to3"))
Examples
SSBtoolsData("FIFA2018ABCD")
#> mapsFrom mapsTo sign level
#> 1 Australia Oceania 1 1
#> 2 Iran Asia 1 1
#> 3 Saudi Arabia Asia 1 1
#> 4 Egypt Africa 1 1
#> 5 Morocco Africa 1 1
#> 6 Nigeria Africa 1 1
#> 7 Argentina America 1 1
#> 8 Peru America 1 1
#> 9 Uruguay America 1 1
#> 10 Croatia Europe 1 1
#> 11 Denmark Europe 1 1
#> 12 France Europe 1 1
#> 13 Iceland Europe 1 1
#> 14 Portugal Europe 1 1
#> 15 Russia Europe 1 1
#> 16 Spain Europe 1 1
#> 17 Iceland nonEU 1 1
#> 18 Russia nonEU 1 1
#> 19 Russia nonSchengen 1 1
#> 20 Croatia nonSchengen 1 1
#> 21 Europe EU 1 2
#> 22 nonEU EU -1 2
#> 23 Europe Schengen 1 2
#> 24 nonSchengen Schengen -1 2
SSBtoolsData("sprt_emp")
#> age geo year ths_per
#> 1 Y15-29 Spain 2014 66.9
#> 2 Y15-29 Iceland 2014 1.8
#> 3 Y15-29 Portugal 2014 11.6
#> 4 Y30-64 Spain 2014 120.3
#> 5 Y30-64 Iceland 2014 1.5
#> 6 Y30-64 Portugal 2014 20.2
#> 7 Y15-29 Spain 2015 63.4
#> 8 Y15-29 Iceland 2015 1.9
#> 9 Y15-29 Portugal 2015 14.2
#> 10 Y30-64 Spain 2015 119.6
#> 11 Y30-64 Iceland 2015 1.6
#> 12 Y30-64 Portugal 2015 24.3
#> 13 Y15-29 Spain 2016 69.1
#> 14 Y15-29 Iceland 2016 1.9
#> 15 Y15-29 Portugal 2016 12.7
#> 16 Y30-64 Spain 2016 122.1
#> 17 Y30-64 Iceland 2016 1.9
#> 18 Y30-64 Portugal 2016 25.8
SSBtoolsData("sprt_emp_geoHier")
#> mapsFrom mapsTo sign level
#> 1 Iceland Europe 1 1
#> 2 Portugal Europe 1 1
#> 3 Spain Europe 1 1
#> 4 Iceland nonEU 1 1
#> 5 Europe EU 1 2
#> 6 nonEU EU -1 2
SSBtoolsData("sprt_emp_ageHier")
#> mapsFrom mapsTo sign level
#> 1 Y15-29 Y15-64 1 1
#> 2 Y30-64 Y15-64 1 1
SSBtoolsData("sprt_emp_withEU")
#> age geo year ths_per eu
#> 1 Y15-29 Spain 2014 66.9 EU
#> 2 Y15-29 Iceland 2014 1.8 nonEU
#> 3 Y15-29 Portugal 2014 11.6 EU
#> 4 Y30-64 Spain 2014 120.3 EU
#> 5 Y30-64 Iceland 2014 1.5 nonEU
#> 6 Y30-64 Portugal 2014 20.2 EU
#> 7 Y15-29 Spain 2015 63.4 EU
#> 8 Y15-29 Iceland 2015 1.9 nonEU
#> 9 Y15-29 Portugal 2015 14.2 EU
#> 10 Y30-64 Spain 2015 119.6 EU
#> 11 Y30-64 Iceland 2015 1.6 nonEU
#> 12 Y30-64 Portugal 2015 24.3 EU
#> 13 Y15-29 Spain 2016 69.1 EU
#> 14 Y15-29 Iceland 2016 1.9 nonEU
#> 15 Y15-29 Portugal 2016 12.7 EU
#> 16 Y30-64 Spain 2016 122.1 EU
#> 17 Y30-64 Iceland 2016 1.9 nonEU
#> 18 Y30-64 Portugal 2016 25.8 EU
SSBtoolsData("d1w")
#> region other wages assistance pensions
#> 1 A 11 11 55 36
#> 2 B 7 1 29 18
#> 3 C 5 8 35 25
#> 4 D 13 2 17 13
#> 5 E 9 14 63 52
#> 6 F 12 9 24 22
#> 7 G 6 4 22 8
#> 8 H 9 3 38 15