datacleanr 1.0.5
- updated internal
make_group_table()
to account for
deprecation of .data
in tidyselect
- fixed NAMESPACE issue (removed
htmltools
)
- fixed Rd link for
plotly
- added documentation for installation issues related to
magick
on Ubuntu
datacleanr 1.0.4
- improved plotting performance of large, “narrowly distributed”
distributed data, such as a 1:1 scatter or a high resolution time series
(i.e., little variation in either x or y dimension). The low performance
seems to come from changes made in how hover events are handled in
plotly
in newer versions (2.x.x). See this
issue, which is still unresolved at 06 June, 2022. The fix uses the
default hovermode = "closest"
, but sets
hoverdistance = 200
, which should ensure a better
responsiveness in most cases. The increased hoverdistance
called for a disabling of hover labels to prevent confusion. Note, the
increased hoverdistance
may cause some unintended
consequences when clickin into plotting ‘white space’, as the click
snaps to the closest point within 200
pixels.
datacleanr 1.0.3
- fixed
filter_scoped()
test to conform with
dplyr 1.0.8
release (dropped dplyr error class)
datacleanr 1.0.2
- removed
navbarPageWithInputs
, replaced with
shiny::navbarpage()
and bslib::nav_item()
, as
recommended
- adjusted button placement (close/exit) with css styles
plotly
no longer serves Plotly.d3
, which
was used to select individual traces on the plot in the viz tab; it now
requires additional import. This is currently done via a D3 script
dependency from a CDN, which requires an internet connection (checked by
can_internet()
datacleanr 1.0.1
dcr_checks:
- Added support for
fs_path
-type filepaths (from
fs
package) when launching dcr_app()
with a
path to an*.Rds
file.
- Added check for existing
.annotation
column, which
produces useful error when present.
- Added check for data sets above 1.5 million observations (rows) -
this threshold is at the limit of modern browsers for visualizing points
with D3/plotly.
- Updated minimum versions for
R
and dependencies
- Changed
summarytools::view()
to print()
for data overview (dropping dependency on X11 / XQuartz)
- Separated setting grouping structure and enabling filtering,
plotting, and extracting from data frame summary. This saves significant
time for larger data sets. Help links and panel texts were adjusted
accordingly.
datacleanr 1.0.0
- First major version with features for exploration, filtering,
visualizing and cleaning/annotating data in a reproducible manner.
- Added a
NEWS.md
file to track changes to the
package.