visdat 0.6.0 (2023/02/01) "Superman, Lazlo Bane" New Feature vis_value() for visualising all values in a dataset. It rescales values to be between 0 and 1. See #100 vis_binary() for visualising datasets with binary values - similar to vis_value(), but just for binary data (0, 1, NA). See #125. Thank you to Trish Gilholm for her suggested use case for this. Implemented facetting in vis_dat() and vis_cor(), and vis_miss() see (#78). The next release will implement facetting for vis_value(), vis_binary(), vis_compare(), vis_expect(), and vis_guess(). Implemented data methods for plots with data_vis_dat(), data_vis_cor(), and data_vis_miss() see (#78). vis_dat() vis_miss() and vis_guess() now render missing values in list-columns (@cregouby #138) Added abbreviate_vars() function to assist with abbreviating data names (#140) Percentage missing in columns for vis_miss() is now rounding to integers - for more accurate representation of missingness summaries please use the naniar R package. A new vignette on customising colour palettes in visdat, "Customising colour palettes in visdat". Bug Fix no longer use old version of gather_ (#141) resolve bug where vis_value() displayed constant values as NA values (#128) - these constant values are now shown as 1. removed use of the now deprecated "aes_string" from ggplot2 output of plot in vis_expect would reorder columns (#133), fixed in #143 by @muschellij2. Misc No longer uses gdtools for testing (#145) Use cli internally for error messages. Speed up some internal functions in visdat