Add values to categorize
Source:R/emissions_profile_any_compute_profile_ranking.R
emissions_profile_any_compute_profile_ranking.Rd![[Deprecated]](figures/lifecycle-deprecated.svg)
This function was deprecated because it's internal. Users don't need to interact with the function itself.
Value
The input data frame with the additional columns grouped_by and
profile_ranking and one row per benchmark per company.
Examples
library(tiltToyData)
library(readr, warn.conflicts = FALSE)
options(readr.show_col_types = FALSE)
companies <- read_csv(toy_emissions_profile_any_companies())
products <- read_csv(toy_emissions_profile_products_ecoinvent())
products |> emissions_profile_any_compute_profile_ranking()
#> Warning: `emissions_profile_any_compute_profile_ranking()` was deprecated in
#> tiltIndicator 0.0.0.9109.
#> ℹ This function is now internal.
#> # A tibble: 18 × 10
#> grouped_by profile_ranking activity_uuid_product_uuid co2_footprint
#> <chr> <dbl> <chr> <dbl>
#> 1 all 0.667 bf94b5a7-b7a2-46d1-bb95-84… 10.4
#> 2 all 0.333 833caa78-30df-4374-900f-7f… 0.693
#> 3 all 1 76269c17-78d6-420b-991a-aa… 303.
#> 4 isic_4digit 1 bf94b5a7-b7a2-46d1-bb95-84… 10.4
#> 5 isic_4digit 1 833caa78-30df-4374-900f-7f… 0.693
#> 6 isic_4digit 1 76269c17-78d6-420b-991a-aa… 303.
#> 7 tilt_subsector 1 bf94b5a7-b7a2-46d1-bb95-84… 10.4
#> 8 tilt_subsector 1 833caa78-30df-4374-900f-7f… 0.693
#> 9 tilt_subsector 1 76269c17-78d6-420b-991a-aa… 303.
#> 10 unit 1 bf94b5a7-b7a2-46d1-bb95-84… 10.4
#> 11 unit 0.5 833caa78-30df-4374-900f-7f… 0.693
#> 12 unit 1 76269c17-78d6-420b-991a-aa… 303.
#> 13 unit_isic_4digit 1 bf94b5a7-b7a2-46d1-bb95-84… 10.4
#> 14 unit_isic_4digit 1 833caa78-30df-4374-900f-7f… 0.693
#> 15 unit_isic_4digit 1 76269c17-78d6-420b-991a-aa… 303.
#> 16 unit_tilt_subsector 1 bf94b5a7-b7a2-46d1-bb95-84… 10.4
#> 17 unit_tilt_subsector 1 833caa78-30df-4374-900f-7f… 0.693
#> 18 unit_tilt_subsector 1 76269c17-78d6-420b-991a-aa… 303.
#> # ℹ 6 more variables: ei_activity_name <chr>, ei_geography <chr>,
#> # isic_4digit <chr>, tilt_sector <chr>, tilt_subsector <chr>, unit <chr>
inputs <- read_csv(toy_emissions_profile_upstream_products_ecoinvent())
inputs |> emissions_profile_any_compute_profile_ranking()
#> # A tibble: 96 × 13
#> grouped_by profile_ranking activity_uuid_product_uuid ei_activity_name
#> <chr> <dbl> <chr> <chr>
#> 1 all 0.25 833caa78-30df-4374-900f-7f88ab44… market for deep…
#> 2 all 0.938 76269c17-78d6-420b-991a-aa38c51b… market for shed…
#> 3 all 0.625 bf94b5a7-b7a2-46d1-bb95-84bc560b… iron-nickel-chr…
#> 4 all 1 bf94b5a7-b7a2-46d1-bb95-84bc560b… iron-nickel-chr…
#> 5 all 0.188 bf94b5a7-b7a2-46d1-bb95-84bc560b… iron-nickel-chr…
#> 6 all 0.312 bf94b5a7-b7a2-46d1-bb95-84bc560b… iron-nickel-chr…
#> 7 all 0.5 bf94b5a7-b7a2-46d1-bb95-84bc560b… iron-nickel-chr…
#> 8 all 0.812 bf94b5a7-b7a2-46d1-bb95-84bc560b… iron-nickel-chr…
#> 9 all 0.375 bf94b5a7-b7a2-46d1-bb95-84bc560b… iron-nickel-chr…
#> 10 all 0.0625 bf94b5a7-b7a2-46d1-bb95-84bc560b… iron-nickel-chr…
#> # ℹ 86 more rows
#> # ℹ 9 more variables: ei_geography <chr>,
#> # input_activity_uuid_product_uuid <chr>, input_co2_footprint <dbl>,
#> # input_ei_activity_name <chr>, input_isic_4digit <chr>,
#> # input_reference_product_name <chr>, input_tilt_sector <chr>,
#> # input_tilt_subsector <chr>, input_unit <chr>