Nothing
inspectdf
0.0.11inspect_types()
for pairwise comparison plotsinspect_types()
for pairwise comparisonsvdiffr
1.0.0 for graphics testsinspect_cat()
plots when number of
categories is small. Thanks to Ivo
Kwee for the suggestion.inspect_num()
histogram bins are correct in comparisons
of data frames. Thanks to Roel
Verbelen for the report.inspectdf
0.0.10include_int
option in inspect_cat()
to allow treatment of
integer columns as categorical.pval
in the resulting output.inspect_cat()
respect any filtering or sorting
of the summary output prior to show_plot()
. Thanks to Roel
Verbelen for the report.inspect_type()
comparison of two dataframes
to make it easier to see which columns and types differ.inspectdf
0.0.9return
properly.inspectdf
0.0.8show_plot
argument has been removed from
all inspect_*()
functions. To generate visualisations of data
frame summaries, please use the more flexible
show_plot(inspect_*())
or via the pipe
inspect_*() %>% show_plot()
.show_plot()
improvement that nudges points that might otherwise
have coincided for dataframe comparisons of imbalance (for example,
with inspect_imb(df1, df2) %>% show_plot()
) inspect_cor()
, inspect_na()
and
`inspect.inspect_cor()
slight speed up for dataframes with large numbers of
columns.inspect_cor()
can be filtered prior to plotting, for example
inspect_cor(starwars) %>% filter(abs(corr) > 0.2) %>% show_plot()
.
Thanks to Roel Verbelen for the
suggestioninspect_imb()
to fail on certain types of factor
columns. Thanks to Roel Verbelen
for the
report.show_plot()
has new arguments label_size
, label_angle
and
label_color
. Each provide adjustments to text annotation where
applicable. Thanks to Bartosz
Bursa for the
suggestion.coord_flip()
works on
resulting plots. Thanks to Roel
Verbelen for the report.inspectdf
0.0.7bytes
column to inspect_mem()
output, for downstream
numeric comparison and consistency with inspectpd
.pcnt_nna
column to inspect_cor()
output containing the
percentage of pairwise complete observations used calculated
correlations. Thanks to Theo Broekman for the suggestion.inspect_
statements to be incorrect. Thanks to the report from Theo Broekman.inspect_num()
.inspectdf
0.0.6inspect_*
functions now returns results by group grouped
dataframes.inspect_num() %>% show_plot()
to show histograms
with color palettes specified by the col_palette
argument.inspect_imb()
to sometimes fail when factors
present. Thanks to Doug Friedman
for the
report.inspectdf
0.0.5inspect_num()
to fail when columns contained
all NA
values. Thanks to Ryan
Tanner for the
reportinspect_cor()
for large data frames with many numeric
columns.method = 'kendall'
and method = 'spearman'
in inspect_cor()
.inspectdf
0.0.4inspect_na() %>% show_plot()
to fail when 0 NA
present. Thanks to the
report
by Metin Yazici.show_plot()
now returns a ggplot2
object rather than printing
the plot - thanks to Garrick
Aden-Buie for the
suggestion.inspect_cat
plotting by avoiding text labels
for small regions.tech
dataset.inspect_cat()
plots when labels are
empty strings. By default ""
will be shown. Thanks to Michael
Swenson for the
reportinspect_cor(method = ...)
argument added, thanks to suggestion
from George Dontas. Options for
pearson
, spearman
and kendall
. Note that confidence intervals
and tests currently only supported for pearson
.inspect_cat()
&
inspect_imb()
.inspectdf
0.0.3text_labels
autoscale size using ggfittext::geom_fit_text()
. For
an example see
inspect_cat()
.
Thanks to David Wilkins for the
PR.show_plot()
via
col_palette
argument. Colorblind friendly option specified via
show_plot(col_palette = 1)
- thanks to Richard
Careaga for the
suggestion.inspect_imb()
.include_na
option for categorical columns that are 100%
missing, or constant are underlined in plot for easier
comprehension.inspect_cor()
inspect_cor()
comparison plots -
makes it easier to see smaller differences in correlations. NA
correlations omitted from inspect_cor()
comparison when
plotted. Ordering of correlations reversed to be consistent with
returned tibble.inspectdf
0.0.2show_plot()
function (show_plot
argument in inspect_
functions
will be dropped in a future version)high_cardinality
argument in show_plot()
for combining unique or
near-unique categories for plotting inspect_cat()
.progress
bars shown when processing larger datasetsinspectdf
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