Clean up unit categories

[andybeet]

Describe the data issue

There are many units used in all of the metrics (Catch, Abundance, Recruitment, Fmort). Many units mean the same thing but are worded/labelled differently. This makes it hard to aggregate/filter

For example. List of Units for Catch metric

library(magrittr); stocksmart::stockAssessmentData %>% dplyr::filter(Metric == "Catch") %>% dplyr::distinct(Units)
#> # A tibble: 43 × 1
#>    Units                  
#>    <chr>                  
#>  1 Metric Tons            
#>  2 Thousand Metric Tons   
#>  3 Thousand Pounds        
#>  4 Pounds                 
#>  5 mt                     
#>  6 1000 mt                
#>  7 Number of Sharks       
#>  8 Metric Tons Meat Weight
#>  9 Unit                   
#> 10 Number                 
#> # … with 33 more rows

^{Created on 2023-01-07 by the reprex package (v2.0.1)}

Would be nice to resolve this as much as possible, especially when units change over time within a single stock eg.

library(magrittr);stocksmart::stockAssessmentData %>% dplyr::filter(ITIS == 172421,Metric =="Catch") %>% dplyr::distinct(Units)
#> # A tibble: 2 × 1
#>   Units               
#>   <chr>               
#> 1 Thousand Metric Tons
#> 2 Metric Tons

^{Created on 2023-01-07 by the reprex package (v2.0.1)}

Species, ITIS, Region

eg. ITIS = 172421, Bluefin Tuna - Western Atlantic

Sources for correcting the problem
none