Without financial data set
Examples
without_financial
#> # A tibble: 252 × 35
#> companies_id country postcode main_activity ep_product activity_uuid_produc…¹
#> <chr> <chr> <int> <chr> <chr> <chr>
#> 1 %ef%bb%bfma… germany 12043 wholesaler surface c… a62eb0d6-9120-541c-97…
#> 2 %ef%bb%bfma… germany 12043 wholesaler surface c… a62eb0d6-9120-541c-97…
#> 3 %ef%bb%bfma… germany 12043 wholesaler surface c… a62eb0d6-9120-541c-97…
#> 4 %ef%bb%bfma… germany 12043 wholesaler surface c… a62eb0d6-9120-541c-97…
#> 5 %ef%bb%bfma… germany 12043 wholesaler surface c… a62eb0d6-9120-541c-97…
#> 6 %ef%bb%bfma… germany 12043 wholesaler surface c… a62eb0d6-9120-541c-97…
#> 7 %ef%bb%bfma… germany 12043 wholesaler surface c… a62eb0d6-9120-541c-97…
#> 8 %ef%bb%bfma… germany 12043 wholesaler surface c… a62eb0d6-9120-541c-97…
#> 9 %ef%bb%bfma… germany 12043 wholesaler hand tool… 7c082396-1f14-5674-86…
#> 10 %ef%bb%bfma… germany 12043 wholesaler hand tool… 7c082396-1f14-5674-86…
#> # ℹ 242 more rows
#> # ℹ abbreviated name: ¹activity_uuid_product_uuid
#> # ℹ 29 more variables: matched_activity_name <chr>,
#> # matched_reference_product <chr>, unit <chr>, co2e_lower <dbl>,
#> # co2e_upper <dbl>, emission_category <chr>, grouping_emission <chr>,
#> # profile_ranking <dbl>, tilt_sector <chr>, tilt_subsector <chr>,
#> # sector_profile <chr>, scenario <chr>, year <int>, …