Create a heatmap matrix showing the overlap between sources

Show overlap between different record sources, either by showing the number or the percentages of shared records between any pair of sources.

Usage

plot_source_overlap_heatmap(
  data,
  cells = "source",
  facets = NULL,
  plot_type = c("counts", "percentages"),
  sort_sources = TRUE,
  interactive = FALSE
)

Arguments

data

A tibble with one record per row, an id column and then one column per source indicating whether the record was found in that source.

cells

Variable to display in the cells. Should be 'source', 'label' or 'string'

facets

Variable in data used for facets (i.e. sub-plots). Should be NULL, 'source', 'label' or 'string'

plot_type

Either counts (number of shared records) or percentages (share of overlapping records).

sort_sources

Should sources be shown based on the number of records they contained? If FALSE, order of data is retained.

interactive

Should returned plot be interactive and enable user to export records underlying each field?

Value

The requested plot as a either a ggplot2 object (when interactive = FALSE), which can then be further formatted or saved using ggplot2::ggsave(), or a plotly object when interactive = TRUE

Examples

data <- data.frame(
  article_id = 1:500,
  source__source1 = rbinom(500, 1, .5) == 1,
  source__source2 = rbinom(500, 1, .2) == 1,
  source__source3 = rbinom(500, 1, .1) == 1,
  source__source4 = rbinom(500, 1, .6) == 1,
  source__source5 = rbinom(500, 1, .7) == 1
)

plot_source_overlap_heatmap(data)

plot_source_overlap_heatmap(data, plot_type = "percentages")