@maurolepore emissions_profile_products and sector_profile_companies require isic_4digit column, and emissions_profile_upstream_products and sector_profile_upstream_products require input_isic_4digit column. All four datasets have the right columns needed for both tiltIndicator and tiltIndicatorAfter. Hence, no PR is needed to correct anything.
Please have a look at the data we already have in tilttoyData:
#> $emissions_profile_products.csv.gz
#> # A tibble: 5 × 7
#> co2_footprint tilt_sector tilt_subsector unit isic_4digit
#> <dbl> <chr> <chr> <chr> <dbl>
#> 1 176. Industry Other unit 2560
#> 2 58.1 Industry Other unit 2560
#> 3 4.95 Steel & Metals Steel kg 2870
#> 4 12.5 Agriculture Agriculture kg 1780
#> 5 2.07 Industry Other kg 2679
#> # ℹ 2 more variables: activity_uuid_product_uuid <chr>, ei_activity_name <chr>
#> $emissions_profile_upstream_products.csv.gz
#> # A tibble: 33 × 7
#> input_co2_footprint input_tilt_sector input_tilt_subsector input_unit
#> <dbl> <chr> <chr> <chr>
#> 1 7.07e+0 Inudstry Other kg
#> 2 3.99e+1 Inudstry Other kwh
#> 3 5.12e-1 Inudstry Other kg
#> 4 1.24e+0 Inudstry Other kg
#> 5 2.12e+1 Inudstry Other kwh
#> 6 1.24e-9 Inudstry Other kg
#> 7 7 e-9 Inudstry Other kg
#> 8 1.04e+0 Inudstry Other kg
#> 9 1.12e+0 Inudstry Other kg
#> 10 3.51e+0 Inudstry Other kg
#> # ℹ 23 more rows
#> # ℹ 3 more variables: input_isic_4digit <dbl>,
#> # input_activity_uuid_product_uuid <chr>, activity_uuid_product_uuid <chr>
#> $sector_profile_companies.csv.gz
#> # A tibble: 28 × 10
#> companies_id company_name clustered activity_uuid_produc…¹ isic_4digit
#> <chr> <chr> <chr> <chr> <dbl>
#> 1 fleischerei-stiefs… fleischerei… steel 0faa7ecb-fef2-5117-89… 2410
#> 2 fleischerei-stiefs… fleischerei… steel 0faa7ecb-fef2-5117-89… 2410
#> 3 pecheries-basques_… pecheries-b… nitrogen 03fbf989-9a1a-5e3d-a5… 2029
#> 4 pecheries-basques_… pecheries-b… nitrogen 03fbf989-9a1a-5e3d-a5… 2029
#> 5 hoche-butter-gmbh_… hoche-butte… waste <NA> NA
#> 6 hoche-butter-gmbh_… hoche-butte… waste <NA> NA
#> 7 hoche-butter-gmbh_… hoche-butte… car <NA> NA
#> 8 hoche-butter-gmbh_… hoche-butte… car <NA> NA
#> 9 hoche-butter-gmbh_… hoche-butte… heater <NA> NA
#> 10 hoche-butter-gmbh_… hoche-butte… heater <NA> NA
#> # ℹ 18 more rows
#> # ℹ abbreviated name: ¹activity_uuid_product_uuid
#> # ℹ 5 more variables: tilt_sector <chr>, tilt_subsector <chr>, type <chr>,
#> # sector <chr>, subsector <chr>
#> $sector_profile_upstream_products.csv.gz
#> # A tibble: 74 × 10
#> activity_uuid_product_uuid input_activity_uuid_…¹ input_reference_prod…²
#> <chr> <chr> <chr>
#> 1 0a242b09-772a-5edf-8e82-9cb4ba… 5de8c337-dea9-5c1f-9d… biowaste
#> 2 0a242b09-772a-5edf-8e82-9cb4ba… 5de8c337-dea9-5c1f-9d… biowaste
#> 3 0a242b09-772a-5edf-8e82-9cb4ba… 1aeb18b9-8355-560f-82… chemical, inorganic
#> 4 0a242b09-772a-5edf-8e82-9cb4ba… 1aeb18b9-8355-560f-82… chemical, inorganic
#> 5 0a242b09-772a-5edf-8e82-9cb4ba… 22704506-7707-5ae7-99… chemical, organic
#> 6 0a242b09-772a-5edf-8e82-9cb4ba… 22704506-7707-5ae7-99… chemical, organic
#> 7 0a242b09-772a-5edf-8e82-9cb4ba… 92078219-1ed3-5215-9f… cow milk
#> 8 0a242b09-772a-5edf-8e82-9cb4ba… 92078219-1ed3-5215-9f… cow milk
#> 9 0a242b09-772a-5edf-8e82-9cb4ba… 9d483329-b09a-5513-b1… cream, from cow milk
#> 10 0a242b09-772a-5edf-8e82-9cb4ba… 9d483329-b09a-5513-b1… cream, from cow milk
#> # ℹ 64 more rows
#> # ℹ abbreviated names: ¹input_activity_uuid_product_uuid,
#> # ²input_reference_product_name
#> # ℹ 7 more variables: input_unit <chr>, input_isic_4digit <dbl>,
#> # input_tilt_sector <chr>, input_tilt_subsector <chr>, type <chr>,
#> # sector <chr>, subsector <chr>
@maurolepore
emissions_profile_products
andsector_profile_companies
requireisic_4digit
column, andemissions_profile_upstream_products
andsector_profile_upstream_products
requireinput_isic_4digit
column. All four datasets have the right columns needed for both tiltIndicator and tiltIndicatorAfter. Hence, no PR is needed to correct anything.Please have a look at the data we already have in tilttoyData: