plotly argument to all plot functions. When
plotly = TRUE, plots are converted to interactive plotly
objects via plotly::ggplotly() (requires the plotly
package).by argument to plot_histogram and
plot_density to break down distributions by a discrete or
continuous feature.plot_qq(..., by = ...) error “Faceting variables must
have at least one value”.aes_string..r file extensions to .R for
consistency with R naming conventions.geom_jitter option to plot_boxplot and
plot_scatterplot.plot_missing.plot_missing.by argument to plot_bar.plot_missing.create_report.dummify.logical being parsed as symbol in
configure_report.split_columns(..., binary_as_factor = TRUE).plot_prcomp now drops columns with zero
variance.update_columns to transform any selected
columns.configure_report function to customize report
content.geom_text and
geom_label arguments.create_report now displays full report directory after
completion.plot_bar.plot_missing.geom_text to geom_label.create_report.plot_bar, plot_histogram,
plot_density and plot_boxplot.plot_intro to report config.plot_prcomp to output and
page_0.gridExtra::grid.arrange with facets.dummify now works on selected columns.plot_* are now invisibly returned. As a
result, extracted profile_missing from
plot_missing for missing value profiles.plot_prcomp now passed scale. = TRUE to
prcomp by default.sampled_rows argument to
plot_scatterplot.create_report.create_report failure due to zero
complete rows.plot_str when plotting data.frame with more
than 100 columns.split_columns.plot_prcomp.plot_prcomp.create_report failure (specifically from
plot_prcomp) when y is specified.create_report and
plot_prcomp.plot_prcomp to visualize principal component
analysis.dummify from plot_correlation as a
new function.introduce for basic metadata.create_report can now be customized.plot_bar now supports optional measures (in addition to
categorical frequency) using argument with.plot_missing:
.ignoreCat and .getAllMissing to
helper.plot_str bug for not supporting S4 objects.plot_histogram and plot_density not
working with column names containing spaces.plot_scatterplot to visualize relationship of one
feature against all other.plot_boxplot to visualize continuous distributions
broken down by another feature.group_category.set_missing..Deprecated mode. List of name changes in
alphabetical order:
BarDiscrete -> plot_barCollapseCategory -> group_categoryCorrelationContinuous->
plot_correlation(..., type = "continuous")CorrelationDiscrete->
plot_correlation(..., type = "discrete")DensityContinuous -> plot_densityDropVar -> drop_columnsGenerateReport -> create_reportHistogramContinuous ->
plot_histogramPlotMissing -> plot_missingPlotStr -> plot_strSetNaTo -> set_missingSplitColType -> split_columnsCorrelationContinuous and
CorrelationDiscrete into one function, and added option to
view correlation of all features at once.quiet is not supplied. In
addition, report directory are printed through message()
instead of cat().DropVar.cat() to message().BarDiscrete.SetNaTo to discrete features.SetNaTo to quickly reset missing numerical
values.DropVar to quickly drop variables by either name or
column position.CorrelationDiscrete now displays all factor levels instead
of full rank matrix from model.matrix.num_all_missing in
SplitColType.CollapseCategory.CollapseCategory.CollapseCategory, update = TRUE will only work
with input data as data.table. However, it is still
possible to view the frequency distribution with any input data class,
as long as update = FALSE.knitr::render.GenerateReport now handles data without discrete or
continuous features.GenerateReport.NA values will be ignored in
BarDiscrete.GenerateReport function due to
package renaming.GenerateReport will now print the directory of the
report to console.CollapseCategory to collapse sparse
categories for discrete features.BarDiscrete and
CorrelationDiscrete for not plotting non-factor class.BarDiscrete and
HistogramContinuous.BoxplotContinuous.
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