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