Plot Term Frequency Trends by Continuous Variable

Creates a faceted line plot showing how term frequencies vary across a continuous variable (e.g., year, time period).

Usage

plot_term_trends_continuous(
  term_data,
  continuous_var,
  terms = NULL,
  title = NULL,
  height = 600,
  width = NULL
)

Arguments

term_data

Data frame containing term frequencies with columns: continuous_var, term, and word_frequency

continuous_var

Name of the continuous variable column

terms

Character vector of terms to display (optional, filters if provided)

title

Plot title (default: NULL, auto-generated)

height

Plot height in pixels (default: 600)

width

Plot width in pixels (default: NULL, auto)

Value

A plotly object with faceted line plots

See also

Other visualization: apply_standard_plotly_layout(), create_empty_plot_message(), create_message_table(), create_standard_ggplot_theme(), get_dt_options(), get_plotly_hover_config(), get_sentiment_color(), get_sentiment_colors(), plot_cluster_terms(), plot_cross_category_heatmap(), plot_entity_frequencies(), plot_mwe_frequency(), plot_ngram_frequency(), plot_pos_frequencies(), plot_semantic_viz(), plot_similarity_heatmap(), plot_word_frequency()

Examples

if (FALSE) { # \dontrun{
term_df <- data.frame(
  year = rep(2010:2020, each = 3),
  term = rep(c("learning", "education", "technology"), 11),
  word_frequency = sample(10:100, 33, replace = TRUE)
)
plot_term_trends_continuous(term_df, "year", c("learning", "education"))
} # }