Closed JimShady closed 5 years ago
Hi Jim,
"NM_1208_1"
doesn't have a GEOGRAPHY
concept, it has USUAL_RESIDENCE
and PLACE_OF_WORK
:
nomis_get_metadata("NM_1208_1")
# A tibble: 5 x 3
codelist conceptref isfrequencydimension
<chr> <chr> <chr>
1 CL_1208_1_USUAL_RESIDENCE USUAL_RESIDENCE false
2 CL_1208_1_PLACE_OF_WORK PLACE_OF_WORK false
3 CL_1208_1_TRANSPORT_POWPEW11 TRANSPORT_POWPEW11 false
4 CL_1208_1_MEASURES MEASURES false
5 CL_1208_1_FREQ FREQ true
Using those should work for you, as below:
nomis_get_metadata("NM_1208_1", "USUAL_RESIDENCE", "TYPE")
# A tibble: 4 x 3
id label.en description.en
<chr> <chr> <chr>
1 TYPE270 2011 census merged local authority districts 2011 census merged local authority districts
2 TYPE297 2011 super output areas - middle layer 2011 super output areas - middle layer
3 TYPE480 regions regions
4 TYPE499 countries countries
Let me know if you run into any more issues downloading the data.
Thanks for the help @evanodell .
Hello Evan. Thanks for the excellent R library.
I'm trying to download commute data, for London, by MSOA, by mode of transport. Through doing this ...
... I believe the table ID I want is 'NM_1208_1'. After that, I'm a bit stumped though. Could you provide any tips or ideas please?
Geography?
The resulting data will be quite large, so I expect I might have to download it Borough by Borough in a loop or something, but I can't get that far to start doing that yet.
Thanks,
JimShady