A stacked rating chart for a whole block of questions

The one-line form of plot_stacked_rating() for the common case: a block of columns sharing a prefix, each asking the same rating question about a different feature or brand. Tabulates the block, tidies the question names, numbers the answers by their position on the scale and stacks the result.

Usage

plot_rating_grid(data = NULL, prefix, levels = NULL, digits = 2, ...)

Arguments

data

A data frame. If omitted, the session default (use_dataset()).

prefix

The block's shared column prefix, e.g. "ratings_". It is stripped from the feature labels.

levels

The scale's answer wordings, worst first. NULL (default) looks the block up in the order registry (register_order()), falling back to the recode_likert() default five-point scale.

digits

Decimal places kept in the underlying percentages. Default 2.

...

Passed to plot_stacked_rating() (palette, label_min, show_average).

Value

A ggplot object.

Details

Answers are numbered by their position in levels, which is what orders the features by their weighted mean and colours the segments worst-to-best. A wording that is not on the scale cannot be numbered, so it is reported rather than being silently dropped into an unlabelled segment: check it against the raw export, since exports often differ from a questionnaire by a typo. Registering the block once with register_order("likeability", levels, prefixes = "partner_likeability_") removes the levels argument from every later call.

See also

plot_stacked_rating(), calc_percentage_batch(), register_order().

Other plots: plot_bars(), plot_gauges(), plot_ipm(), plot_nps(), plot_nps_gauge(), plot_quotes_tree(), plot_stacked_rating()

Examples

plot_rating_grid(podracing_survey, "ratings_")


plot_rating_grid(podracing_survey, "partner_likeability_",
                 levels = c("Very unlikeable", "Unlikeable",
                            "Likeable", "Very likeable"))