aggregate_biomass missing planktivore spring 2024 data point

[BBeltz1]

No description provided.

[andybeet]

i think its there!!
At least on some of the branches

dplyr::filter(ecodata::aggregate_biomass, Time == 2024, grepl("lanktivore Spring", 
    Var))
#> # A tibble: 30 × 5
#>     Time Var                                                  Value EPU   Units 
#>    <dbl> <chr>                                                <dbl> <chr> <chr> 
#>  1  2024 Planktivore Spring Biomass Index                     21.9  MAB   kg to…
#>  2  2024 Planktivore Spring Biomass Standard Error             7.32 MAB   kg to…
#>  3  2024 Planktivore Spring Biomass Index - inshore           15.0  MAB   kg to…
#>  4  2024 Planktivore Spring Biomass Standard Error - inshore   6.06 MAB   kg to…
#>  5  2024 Planktivore Spring Biomass Index - offshore          22.6  MAB   kg to…
#>  6  2024 Planktivore Spring Biomass Standard Error - offshore  8.06 MAB   kg to…
#>  7  2024 Planktivore Spring Biomass Index                     44.2  GB    kg to…
#>  8  2024 Planktivore Spring Biomass Standard Error            27.0  GB    kg to…
#>  9  2024 Planktivore Spring Biomass Index - inshore            5.38 GB    kg to…
#> 10  2024 Planktivore Spring Biomass Standard Error - inshore   5.36 GB    kg to…
#> # ℹ 20 more rows

^{Created on 2024-12-13 with reprex v2.1.0}

[BBeltz1]

It is not plotting. Working on branch comp_docs.

ecodata::plot_aggregate_biomass(report="NewEngland", EPU = "GB")

ecodata::plot_aggregate_biomass(report="NewEngland", EPU = "GOM")

The 2024 data point is present for all functional groups except for planktivores.

@andybeet do you see the point when you run the same plot arguments?

[andybeet]

so i found this in the plot code

  ### Planktivore
  p3<-agg_bio |>
    dplyr::filter(stringr::str_detect(Var,"Planktivore"),
                  Time <= 2023) |>
    dplyr::mutate(Mean = dplyr::case_when(Mean >80 ~ 90,
                                           TRUE ~ Mean)) |>

For some reason we are filtering by year. I'll fix