knitr::opts_chunk$set(echo = TRUE)
inspectdf
0.0.12vdiffr
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.inspect_num()
#41, thanks to cregouby for the report.inspectdf
0.0.11inspect_types()
for pairwise comparison plotsinspect_types()
for pairwise comparisonsinspectdf
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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