Closed maurolepore closed 2 weeks ago
@AnneSchoenauer do you think it's worth implementing a selector for grouping_transition_risk
?
I hesitate because this fileter seems to duplicate what the user can accomplish with scenario
, year
, and groping_emission
combined.
@kalashsinghal FYI
library(tidyverse)
data <- arrow::open_dataset("../tiltWebToolData/db/product/")
data |>
distinct(grouping_transition_risk, scenario, year, grouping_emission) |>
collect() |>
as_tibble()
#> # A tibble: 5,154 × 4
#> grouping_transition_risk scenario year grouping_emission
#> <chr> <chr> <int> <chr>
#> 1 1.5C RPS_2030_NA 1.5C RPS 2030 <NA>
#> 2 1.5C RPS_2050_NA 1.5C RPS 2050 <NA>
#> 3 NZ 2050_2030_NA NZ 2050 2030 <NA>
#> 4 NZ 2050_2050_NA NZ 2050 2050 <NA>
#> 5 NA_NA_NA <NA> NA <NA>
#> 6 NA_NA_NA <NA> NA <NA>
#> 7 NA_NA_NA <NA> NA <NA>
#> 8 NA_NA_NA <NA> NA <NA>
#> 9 NA_NA_NA <NA> NA <NA>
#> 10 NA_NA_NA <NA> NA <NA>
#> # ℹ 5,144 more rows
data |>
distinct(grouping_transition_risk) |>
collect() |>
as_tibble() |>
print(n = Inf)
#> # A tibble: 35 × 1
#> grouping_transition_risk
#> <chr>
#> 1 1.5C RPS_2030_NA
#> 2 1.5C RPS_2050_NA
#> 3 NZ 2050_2030_NA
#> 4 NZ 2050_2050_NA
#> 5 NA_NA_NA
#> 6 1.5C RPS_2030_tilt_subsector
#> 7 1.5C RPS_2050_tilt_subsector
#> 8 NZ 2050_2030_tilt_subsector
#> 9 NZ 2050_2050_tilt_subsector
#> 10 NA_NA_tilt_subsector
#> 11 NA_NA_all
#> 12 1.5C RPS_2030_all
#> 13 1.5C RPS_2050_all
#> 14 NZ 2050_2030_all
#> 15 NZ 2050_2050_all
#> 16 1.5C RPS_2030_isic_4digit
#> 17 1.5C RPS_2050_isic_4digit
#> 18 NZ 2050_2030_isic_4digit
#> 19 NZ 2050_2050_isic_4digit
#> 20 NA_NA_isic_4digit
#> 21 1.5C RPS_2030_unit_tilt_subsector
#> 22 1.5C RPS_2050_unit_tilt_subsector
#> 23 NZ 2050_2030_unit_tilt_subsector
#> 24 NZ 2050_2050_unit_tilt_subsector
#> 25 NA_NA_unit_tilt_subsector
#> 26 1.5C RPS_2050_unit_isic_4digit
#> 27 NZ 2050_2030_unit_isic_4digit
#> 28 NZ 2050_2050_unit_isic_4digit
#> 29 1.5C RPS_2030_unit_isic_4digit
#> 30 NA_NA_unit_isic_4digit
#> 31 1.5C RPS_2030_unit
#> 32 1.5C RPS_2050_unit
#> 33 NZ 2050_2030_unit
#> 34 NZ 2050_2050_unit
#> 35 NA_NA_unit
library(tidyverse)
data <- arrow::open_dataset("../tiltWebToolData/db/company/")
data |>
distinct(grouping_transition_risk) |>
collect() |>
as_tibble() |>
print(n = Inf)
#> # A tibble: 25 × 1
#> grouping_transition_risk
#> <chr>
#> 1 <NA>
#> 2 1.5C RPS_2030_isic_4digit
#> 3 1.5C RPS_2050_isic_4digit
#> 4 NZ 2050_2030_isic_4digit
#> 5 NZ 2050_2050_isic_4digit
#> 6 1.5C RPS_2030_all
#> 7 1.5C RPS_2050_all
#> 8 NZ 2050_2030_all
#> 9 NZ 2050_2050_all
#> 10 1.5C RPS_2030_tilt_subsector
#> 11 1.5C RPS_2050_tilt_subsector
#> 12 NZ 2050_2030_tilt_subsector
#> 13 NZ 2050_2050_tilt_subsector
#> 14 1.5C RPS_2030_unit
#> 15 1.5C RPS_2050_unit
#> 16 NZ 2050_2030_unit
#> 17 NZ 2050_2050_unit
#> 18 1.5C RPS_2030_unit_tilt_subsector
#> 19 1.5C RPS_2050_unit_tilt_subsector
#> 20 NZ 2050_2030_unit_tilt_subsector
#> 21 NZ 2050_2050_unit_tilt_subsector
#> 22 1.5C RPS_2030_unit_isic_4digit
#> 23 1.5C RPS_2050_unit_isic_4digit
#> 24 NZ 2050_2030_unit_isic_4digit
#> 25 NZ 2050_2050_unit_isic_4digit
Hi @maurolepore i think it is fine for now. Let’s leave it as it is and we try it out with some users while you are at the conference. If they think they miss it we might change it once you are back.
Great. Closing as not planned so it doesn't bury the most critical stuff.