visdat 0.1.0 (2017/07/03)

lightweight CRAN submission - will only contain functions vis_dat and vis_miss

visdat 0.0.7.9100 (2017/07/03)

add_vis_dat_pal() (internal) to add a palette for vis_dat and vis_guess
vis_guess now gets a palette argument like vis_dat
Added protoype/placeholder functions for plotly vis_*_ly interactive graphs:
vis_guess_ly()
vis_dat_ly()
vis_compare_ly() These simply wrap plotly::ggplotly(vis_*(data)). In the future they will be written in plotly so that they can be generated much faster

axes in vis_ family are now flipped by default
vis_miss now shows the % missingness in a column, can be disabled by setting show_perc_col argument to FALSE
removed flip argument, as this should be the default

added internal functions to improve extensibility and debugging - vis_create_, vis_gather_ and vis_extract_value_.
suppress unneeded warnings arising from compiling factors

Added feature flip = TRUE, to vis_dat and vis_miss. This flips the x axis and the ordering of the rows. This more closely resembles a dataframe.
vis_miss_ly is a new function that uses plotly to plot missing data, like vis_miss, but interactive, without the need to call plotly::ggplotly on it. It’s fast, but at the moment it needs a bit of love on the legend front to maintain the style and features (clustering, etc) of current vis_miss.
vis_miss now gains a show_perc argument, which displays the % of missing and complete data. This is switched on by default and addresses issue #19.

vis_compare is a new function that allows you to compare two dataframes of the same dimension. It gives a fairly ugly warning if they are not of the same dimension.
vis_dat gains a “palette” argument in line with issue 26, drawn from http://colorbrewer2.org/, there are currently three arguments, “default”, “qual”, and “cb_safe”. “default” provides the ggplot defaults, “qual” uses some colour blind unfriendly colours, and “cb_safe” provides some colours friendly for colour blindness.

All lines are < 80 characters long
removed all instances of 1:rnow(x) and replaced with seq_along(nrow(x)).
Updated documentation, improved legend and colours for vis_miss_ly.
removed export for vis_dat_ly, as it currently does not work.
Removed a lot of unnecessary @importFrom tags, included magrittr in this, and added magrittr to Imports
Changes ALL CAPS Headers in news to Title Case
Made it clear that vis_guess() and vis_compare are very beta
updated documentation in README and vis_dat(), vis_miss(), vis_compare(), and vis_guess()
updated pkgdown docs
updated DESCRIPTION URL and bug report
Changed the default colours of vis_compare to be different to the ggplot2 standards.
vis_miss legend labels are created using the internal function miss_guide_label. miss_guide_label will check if data is 100% missing or 100% present and display this in the figure. Additionally, if there is less than 0.1% missing data, “<0.1% missingness” will also be displayed. This sort of gets around issue #18 for the moment.
tests have been added for the miss_guide_label legend labels function.
Changed legend label for vis_miss, vis_dat, and vis_guess.
updated README
Added vignette folder (but not vignettes added yet)
Added appveyor-CI and travis-CI, addressing issues #22 and #23

Update vis_dat() to use purrr::dmap(fingerprint) instead of mutate_each_(). This solves issue #3 where vis_dat couldn’t take variables with spaces in their name.

Interactivity with plotly::ggplotly! Funcions vis_guess(), vis_dat(), and vis_miss were updated so that you can make them all interactive using the latest dev version of plotly from Carson Sievert.

Introducing vis_guess(), a function that uses the unexported function collectorGuess from readr.