Closed jmouchnino closed 2 months ago
Variables that contain only unique values are automatically discarded. The idea behind this is that it is not interesting to visually represent a single line of a data.frame. Does this bother your usage?
The iso3c
variable doesn't contain unique values only
set.seed(7)
tuesdata <- tidytuesdayR::tt_load(2022, week = 29)
technology <- tuesdata$technology %>% select(variable, iso3c, year, value) %>% dplyr::slice_sample(n = 30000)
technology$iso3c %>% table() %>% head
# ABW AFG AGO ALB AND ANT
# 35 96 129 155 22 3
esquisse::esquisser(technology)
Ah yes, sorry. If there are more than 50 unique value, the filter isn't generated. Maybe we should reconsider that rule.
I would suggest adding an argument to the esquise_server() function and modify the call to filter_data_server() in this line to allow customisation when adding esquisse to shiny apps:
I will send a pull request for your review
It is a bit of a hacky fix, but you can edit the functionality of the drop_id function using trace(). drop_id() contains the fixed integer value of 50 that is referred to above. You should probably limit this to a reasonable value based on your distinct values you would expect.
trace(datamods::drop_id, edit=TRUE)
I use this data
Why are the categorical variables missing from the Data tab ? I'm sure that once it was possible to filter the categorical variables in the app.