Plot Readability Distribution

Creates a boxplot showing the overall distribution of a readability metric.

Usage

plot_readability_distribution(readability_data, metric, title = NULL)

Arguments

readability_data

Data frame from calculate_text_readability()

metric

Metric to plot (e.g., "flesch", "flesch_kincaid", "gunning_fog")

title

Plot title (default: auto-generated)

Value

A plotly boxplot

See also

Other lexical: calculate_dispersion_metrics(), calculate_lexical_dispersion(), calculate_log_odds_ratio(), calculate_text_readability(), clear_lexdiv_cache(), detect_multi_words(), extract_keywords_keyness(), extract_keywords_tfidf(), extract_morphology(), extract_named_entities(), extract_noun_chunks(), extract_pos_tags(), extract_subjects_objects(), find_similar_words(), get_sentences(), get_spacy_embeddings(), get_spacy_model_info(), get_word_similarity(), init_spacy_nlp(), lexical_analysis, lexical_diversity_analysis(), lexical_frequency_analysis(), parse_morphology_string(), plot_keyness_keywords(), plot_keyword_comparison(), plot_lexical_diversity_distribution(), plot_morphology_feature(), plot_readability_by_group(), plot_tfidf_keywords(), plot_top_readability_documents(), render_displacy_dep(), render_displacy_ent(), spacy_extract_entities(), spacy_has_vectors(), spacy_initialized(), spacy_parse_full(), summarize_morphology()

Examples

if (FALSE) { # \dontrun{
data(SpecialEduTech, package = "TextAnalysisR")
texts <- SpecialEduTech$abstract[1:20]
readability <- calculate_text_readability(texts)
plot <- plot_readability_distribution(readability, "flesch")
print(plot)
} # }