Comments (1)
Here's the inventory of missing data example plot.
@lilyclements Could you write a function for this? There could be multiple elements and multiple stations. So there could be an option of whether stations or elements go on the x-axis and the other as facets. We could also use fill
to have it all on one graph without needing facets, that could be an option too.
We could also have the option of displaying counts or percentage of missing.
Notice that in the image there is the option to "Export Data" so we should have two functions: one to calculate the counts/percentages in tidy format and a graph function which calls the calculate function i.e. both functions have the same input data.
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Related Issues (20)
- Creates extremes function
- Refer to `naflex` package on CRAN HOT 1
- Add an example dataset to the package
- Parameter names - consistency HOT 5
- Export CDT Dekadal data HOT 6
- Package name HOT 3
- Only use names and function signatures that are also valid in Python HOT 8
- Discussion on using "tidy evaluation" or not for column names HOT 2
- The signature of `export_geoclim_month` is inconsistent with Python
- Bugs in the inventory_plot function HOT 1
- Make tests accessible on installed package HOT 3
- Bug when using elements in the climatic_summary function HOT 2
- Add test for climatic_summary when there's no summaries provided
- Errors in prepare_geoclim function HOT 2
- Add test for climatic_summary that contains a `summaries_params` parameter HOT 3
- "element" not recognized in Input (file_path = paste0("CDT-", element, ".csv")
- Incorrect column names from export_geoclim_month.R
- R functions to write tests on HOT 4
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