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

The Legend of LoFi

Minor Change

• Update vis_cor() to use perceptually uniform colours from scico package, using scico::scico(3, palette = "vik").
• Update vis_cor() to have fixed legend values from -1 to +1 (#110) using options breaks and limits. Special thanks to this SO thread for the answer
• Uses glue and glue_collapse() instead of paste and paste0
• adds WORDLIST for spelling thanks to usethis::use_spell_check()

visdat 0.5.2 (2018/12/06) "Youth, The Midnight, Kids"

Minor Change

• Internal error message has been improved by Nic in #102

Bug Fix

• Jim Hester fixed recent changes in readr 1.2.0 in PR #103, which changes the default behavior of the guess_parser, to not
  guess integer types by default. To opt-into the current behavior you
  need to pass guess_integer = TRUE.

The Northern Lights Moonwalker

New Features

• vis_compare() for comparing two dataframes of the same dimensions
• vis_expect() for visualising where certain values of expectations occur in the data
  • Added NA colours to vis_expect
  • Added show_perc arg to vis_expect to show the percentage of expectations that are TRUE. #73
• vis_cor to visualise correlations in a dataframe
• vis_guess() for displaying the likely type for each cell in a dataframe
• Added draft vis_expect to make it easy to look at certain appearances of numbers in your data.
• visdat is now under the rOpenSci github repository

Minor Changes

• added CITATION for visdat to cite the JOSS article
• updated options for vis_cor to use argument na_action not use_op.
• cleaned up the organisation of the files and internal functions
• Added appropriate legend and x axis for vis_miss_ly - thanks to Stuart Lee
• Updated the paper.md for JOSS
• Updated some old links in doco
• Added Sean Hughes and Mara Averick to the DESCRIPTION with ctb.
• Minor changes to the paper for JOSS

Bug Fixes

• Fix bug reported in #75
  where vis_dat(diamonds) errored seq_len(nrow(x)) inside internal
  function vis_gather_, used to calculate the row numbers. Using
  mutate(rows = dplyr::row_number()) solved the issue.

• Fix bug reported in #72
  where vis_miss errored when one column was given to it. This was an issue
  with using limits inside scale_x_discrete - which is used to order the
  columns of the data. It is not necessary to order one column of data, so I
  created an if-else to avoid this step and return the plot early.

• Fix visdat x axis alignment when show_perc_col = FALSE - #82

• fix visdat x axis alignment - issue 57

• fix bug where the column percentage missing would print to be NA when it was exactly equal to 0.1% missing. - issue 62

• vis_cor didn't gather variables for plotting appropriately - now fixed

JOSS (accepted)

An updated release with an updated abstract summary for visdat suitable for publication in JOSS

JOSS

First official github release for of visdat