rfm_plot_heatmap: RFM heatmap

In rfm: Recency, Frequency and Monetary Value Analysis

RFM heatmap

Description

The heat map shows the average monetary value for different categories of recency and frequency scores. Higher scores of frequency and recency are characterized by higher average monetary value as indicated by the darker areas in the heatmap.

Usage

rfm_plot_heatmap(
  data,
  brewer_n = 5,
  brewer_name = "PuBu",
  xaxis_label = NULL,
  yaxis_label = NULL,
  plot_title = NULL,
  legend_title = NULL,
  interactive = FALSE,
  print_plot = TRUE
)

Arguments

data	An object of class rfm_table.
brewer_n	Indicates the number of colors in the palette; RColorBrewer is used for the color palette of the heatmap; check the documentation of brewer.pal.
brewer_name	Palette name; check the documentation of brewer.pal.
xaxis_label	X axis label.
yaxis_label	Y axis label.
plot_title	Title of the plot.
legend_title	Legend title.
interactive	If TRUE, uses plotly as the visualization engine. If FALSE, uses ggplot2.
print_plot	logical; if TRUE, prints the plot else returns a plot object.

Deprecated Functions

rfm_heatmap() has been deprecated and will be made defunct. It has been provided for compatibility with older versions only, and will be made defunct at the next release.

Instead use the replacement function rfm_plot_heatmap().

Examples

# using transaction data
analysis_date <- as.Date('2006-12-31')
rfm_order <- rfm_table_order(rfm_data_orders, customer_id, order_date,
revenue, analysis_date)

# heat map
# ggplot2
rfm_plot_heatmap(rfm_order)

# plotly
rfm_plot_heatmap(rfm_order, interactive = TRUE)

# using customer data
analysis_date <- as.Date('2007-01-01')
rfm_customer <- rfm_table_customer(rfm_data_customer, customer_id,
number_of_orders, recency_days, revenue, analysis_date)

# heat map
rfm_plot_heatmap(rfm_customer)

rfm documentation built on May 29, 2024, 11:50 a.m.