Examine the relationship between recency, frequency and monetary values.
rfm_rm_plot( rfm_table, point_color = "blue", xaxis_title = "Monetary", yaxis_title = "Recency", plot_title = "Recency vs Monetary", print_plot = TRUE ) rfm_fm_plot( rfm_table, point_color = "blue", xaxis_title = "Monetary", yaxis_title = "Frequency", plot_title = "Frequency vs Monetary", print_plot = TRUE ) rfm_rf_plot( rfm_table, point_color = "blue", xaxis_title = "Frequency", yaxis_title = "Recency", plot_title = "Recency vs Frequency", print_plot = TRUE )
rfm_table | An object of class |
---|---|
point_color | Color of the scatter points. |
xaxis_title | X axis title. |
yaxis_title | Y axis title. |
plot_title | Title of the plot. |
print_plot | logical; if |
Scatter plot.
# rfm table analysis_date <- lubridate::as_date('2006-12-31') rfm_result <- rfm_table_order(rfm_data_orders, customer_id, order_date, revenue, analysis_date) # monetary value vs recency rfm_rm_plot(rfm_result)# frequency vs monetary value rfm_fm_plot(rfm_result)# frequency vs recency rfm_rf_plot(rfm_result)