visdat 0.6.0 (2023/02/01) “Superman, Lazlo Bane”
CRAN release: 2023-02-02
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_miss()see (#78). The next release will implement facetting for
- Implemented data methods for plots with
vis_guess()now render missing values in list-columns (@cregouby #138)
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
- A new vignette on customising colour palettes in visdat, “Customising colour palettes in visdat”.
- no longer use old version of
- 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_expectwould reorder columns (#133), fixed in #143 by @muschellij2.
vis_miss()displayed missing percentages between 0.1% and 0.5% as 0% due to rounding. Now it dislpays “<1%” by @zeehio at https://github.com/ropensci/visdat/pull/162.
- No longer uses gdtools for testing (#145)
cliinternally for error messages.
- Speed up some internal functions in visdat
visdat 0.5.3 (2019/02/04) “The Legend of LoFi”
CRAN release: 2019-02-15
vis_cor()to use perceptually uniform colours from
scico::scico(3, palette = "vik").
vis_cor()to have fixed legend values from -1 to +1 (#110) using options
limits. Special thanks to this SO thread for the answer
- adds WORDLIST for spelling thanks to
visdat 0.5.2 (2018/12/06) “Youth, The Midnight, Kids”
CRAN release: 2018-12-10
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.
visdat 0.5.1 (2018/07/02) “The Northern Lights Moonwalker”
CRAN release: 2018-07-04
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_expectto show the percentage of expectations that are TRUE. #73
- Added NA colours to
vis_corto visualise correlations in a dataframe
vis_guess()for displaying the likely type for each cell in a dataframe
- Added draft
vis_expectto make it easy to look at certain appearances of numbers in your data.
- visdat is now under the rOpenSci github repository
- added CITATION for visdat to cite the JOSS article
- updated options for
vis_corto use argument
- 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
- Updated some old links in doco
- Added Sean Hughes and Mara Averick to the DESCRIPTION with
- Minor changes to the paper for JOSS
Fix bug reported in #75 where
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_misserrored when one column was given to it. This was an issue with using
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_cordidn’t gather variables for plotting appropriately - now fixed
visdat 0.1.0 (2017/07/03) (“JOSS”)
CRAN release: 2017-07-11
- lightweight CRAN submission - will only contain functions
visdat 0.0.7.9100 (2017/07/03)
add_vis_dat_pal()(internal) to add a palette for
vis_guessnow gets a palette argument like
- Added protoype/placeholder functions for
plotlyvis_*_ly interactive graphs:
vis_compare_ly()These simply wrap
plotly::ggplotly(vis_*(data)). In the future they will be written in
plotlyso that they can be generated much faster
visdat 0.0.6.9000 (2017/02/26)
- axes in
vis_family are now flipped by default
vis_missnow shows the % missingness in a column, can be disabled by setting
show_perc_colargument to FALSE
flipargument, as this should be the default
visdat 0.0.5.9000 (2017/01/09)
visdat 0.0.4.9999 (2017/01/08)
- Added feature
flip = TRUE, to
vis_miss. This flips the x axis and the ordering of the rows. This more closely resembles a dataframe.
vis_miss_lyis a new function that uses plotly to plot missing data, like
vis_miss, but interactive, without the need to call
plotly::ggplotlyon 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_missnow gains a
show_percargument, which displays the % of missing and complete data. This is switched on by default and addresses issue #19.
New Feature (under development)
vis_compareis 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_datgains 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
- Updated documentation, improved legend and colours for
- 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_compareare very beta
- updated documentation in README and
- updated pkgdown docs
- updated DESCRIPTION URL and bug report
- Changed the default colours of
vis_compareto be different to the ggplot2 standards.
vis_misslegend labels are created using the internal function
miss_guide_labelwill 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_labellegend labels function.
- Changed legend label for
- updated README
- Added vignette folder (but not vignettes added yet)
- Added appveyor-CI and travis-CI, addressing issues #22 and #23
mutate_each_(). This solves issue #3 where
vis_datcouldn’t take variables with spaces in their name.
# visdat 0.0.3.9000
- Interactivity with
vis_misswere updated so that you can make them all interactive using the latest dev version of
plotlyfrom Carson Sievert.
# visdat 0.0.2.9000
vis_guess(), a function that uses the unexported function
# visdat 0.0.1.9000