Closed maurolepore closed 4 months ago
Thanks, @maurolepore. Is this for the documentation of the indicators? As you, @kalashsinghal, are more up-to-date about the latest column names etc., I'd suggest that you start and I can add / review where you are unsure? Would that be OK?
@Tilmon it relates to the app prototype that @AnneSchoenauer shared. I also thought Kalash (and Anne) would be the best fit for the job, but Anne assigned you:
I am assigining @Tilmon as he is responsible for the data dictionary. -- Anne via https://github.com/2DegreesInvesting/tiltWebTool/issues/9#issuecomment-2126334413
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Notes that this specific issue focuses on building the template. I already did that so I closed the issue. Let's discuss your part at :
Hi @Tilmon - I thought that you are doing the data dictionary as you are responsible for uploading the data ;-). So maybe good if you want to give this to Kalash to specify what a data dictionary is. Happy to help if needed.
As you, @kalashsinghal, are more up-to-date about the latest column names etc., I'd suggest that you start and I can add / review where you are unsure? Would that be OK?
@Tilmon The latest column names will be same as the final column names we get from profile_emissions
and profile_sector
functions of tiltIndicatorAfter (can be seen from above reprex). If you would like to assign me this task then please create a separate ticket for me and adjust the priority of this task on my board! Thanks! :)
@kalashsinghal that ticket is already open at https://github.com/2DegreesInvesting/tiltWebTool/issues/12
@Tilmon here I'll post data-dictionary templates. You may move it to a googlesheet and define each column -- maybe with the help of @kalashsinghal
I start with emissions and sector profile because those are the most complete. Maybe the outputs will change but that should impact relatively few columns.
reprex
## Emissions ``` r sector <- readr::read_csv("tiltIndicatorAfter-v0.0.0.9040-emissions.csv") #> Rows: 42 Columns: 5 #> ── Column specification ──────────────────────────────────────────────────────── #> Delimiter: "," #> chr (4): dataset, level, name, type #> lgl (1): definition #> #> ℹ Use `spec()` to retrieve the full column specification for this data. #> ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message. ``` ``` r head(sector) #> # A tibble: 6 × 5 #> dataset level name type definition #>