visdat
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ropensci
Preliminary Exploratory Visualisation of Data
There are new name repair conventions as of `tibble` 2.0.0 that are exposed in other packages (e.g., `readxl`). It renames blank column names (`""`) to the form of `..1`, `..2`,...
Really cool python package here: https://github.com/ResidentMario/missingno
Suggestion for a new function which would essentially be an extension of vis_compare but has colors to specify what the 'not same' change is. Admittedly this is limited use case...
So `vis_dat` uses the default ggplot colours, which are great! But, I wonder if perhaps it might be more informative to use specific colours for specific classes. For example, if...
Similar to gg_miss_fct, vis_fct would instead display the values, rather than the % missing of a value.
As discussed here: https://twitter.com/Chucheria/status/1025096120094150656?s=19
A way to use the shadow information to tell us where missings/imputed values might be? these imputed/diffed values could show up as a different colour, to the regular black.
Hello, I'm using visdat_0.5.1 and noticed a small issue with the default colour scale and legend. `vis_miss(x = tibble(x = c(NA, NA, NA), y = c(NA, NA, NA)))` gives as...
It would be helpful if vis_compare could have an argument to tell it to ignore minor differences such as a shifted column location, storage type, or a different sort order....
