| rfm_plot_segment_scatter | R Documentation | 
Generate scatter plots to examine the relationship between recency, frequency and monetary value.
rfm_plot_segment_scatter(
  segments,
  x = "monetary",
  y = "recency",
  plot_title = NULL,
  legend_title = NULL,
  xaxis_label = NULL,
  yaxis_label = NULL,
  interactive = FALSE,
  animate = FALSE,
  print_plot = TRUE
)
| segments | Output from  | 
| x | Metric to be represented on X axis. | 
| y | Metric to be represented on Y axis. | 
| plot_title | Title of the plot. | 
| legend_title | Title of the plot legend. | 
| xaxis_label | X axis label. | 
| yaxis_label | Y axis label. | 
| interactive | If  | 
| animate | If  | 
| print_plot | logical; if  | 
Scatter plot.
# analysis date
analysis_date <- as.Date('2006-12-31')
# generate rfm score
rfm_result <- rfm_table_order(rfm_data_orders, customer_id, order_date,
revenue, analysis_date)
# segment names
segment_names <- c("Champions", "Potential Loyalist", "Loyal Customers",
                   "Promising", "New Customers", "Can't Lose Them",
                   "At Risk", "Need Attention", "About To Sleep", "Lost")
# segment intervals
recency_lower <-   c(5, 3, 2, 3, 4, 1, 1, 1, 2, 1)
recency_upper <-   c(5, 5, 4, 4, 5, 2, 2, 3, 3, 1)
frequency_lower <- c(5, 3, 2, 1, 1, 3, 2, 3, 1, 1)
frequency_upper <- c(5, 5, 4, 3, 3, 4, 5, 5, 3, 5)
monetary_lower <-  c(5, 2, 2, 3, 1, 4, 4, 3, 1, 1)
monetary_upper <-  c(5, 5, 4, 5, 5, 5, 5, 5, 4, 5)
# generate segments
segments <- rfm_segment(rfm_result, segment_names, recency_lower,
recency_upper, frequency_lower, frequency_upper, monetary_lower,
monetary_upper)
# visualize
# ggplot2
rfm_plot_segment_scatter(segments, "monetary", "recency")
# plotly
rfm_plot_segment_scatter(segments, "monetary", "recency", interactive = TRUE)
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