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Ecoinvent activities mapped with EU Taxonomy activities after keywords search

Usage

eco_activities_after_keywords_search(data)

Arguments

data

A dataframe

Value

A dataframe

Examples

ecoinvent_activities_with_nace <- ecoinvent_activities_with_nace(
  ep_companies_ei_activities |> head(10),
  isic_nace_mapper
)

eu_tax_activities_all <- eu_tax_activities_all(
  eu_tax_climate_mitigation, eu_tax_climate_adaptation,
  eu_tax_water_protection, eu_tax_circular_economy_transition,
  eu_tax_pollution_prevention, eu_tax_biodiversity_protection
)
eu_tax_activities_all_with_keywords <- eu_tax_activities_all_with_keywords(
  eu_tax_activities_all,
  eu_tax_activities_keywords
)

output <- eco_activities_after_keywords_search(ecoinvent_activities_eu_tax_activities(
  ecoinvent_activities_with_nace, eu_tax_activities_all_with_keywords
))
output
#> # A tibble: 651 × 12
#>    companies_id           company_name country ep_product activity_uuid_produc…¹
#>    <chr>                  <chr>        <chr>   <chr>      <chr>                 
#>  1 ajtm-joints-detanchei… ajtm - join… france  ptfe seal… ff8730f0-d92e-54ed-9a…
#>  2 ajtm-joints-detanchei… ajtm - join… france  ptfe seal… ff8730f0-d92e-54ed-9a…
#>  3 ajtm-joints-detanchei… ajtm - join… france  ptfe seal… ff8730f0-d92e-54ed-9a…
#>  4 ajtm-joints-detanchei… ajtm - join… france  ptfe seal… ff8730f0-d92e-54ed-9a…
#>  5 ajtm-joints-detanchei… ajtm - join… france  bending    77ac10a7-6b05-5e27-8e…
#>  6 ajtm-joints-detanchei… ajtm - join… france  bending    77ac10a7-6b05-5e27-8e…
#>  7 ajtm-joints-detanchei… ajtm - join… france  bending    77ac10a7-6b05-5e27-8e…
#>  8 ajtm-joints-detanchei… ajtm - join… france  bending    77ac10a7-6b05-5e27-8e…
#>  9 ajtm-joints-detanchei… ajtm - join… france  bending    77ac10a7-6b05-5e27-8e…
#> 10 ajtm-joints-detanchei… ajtm - join… france  bending    77ac10a7-6b05-5e27-8e…
#> # ℹ 641 more rows
#> # ℹ abbreviated name: ¹​activity_uuid_product_uuid
#> # ℹ 7 more variables: ecoinvent_activity_name <chr>, isic_4digit <chr>,
#> #   NACE <chr>, tax_activity <chr>, tax_activity_description <chr>,
#> #   tax_activity_keywords <chr>, keyword_is_present <lgl>