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 0.0.1
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