require(shinypivottabler)
# create artificial dataset
data <- data.frame("V1" = sample(c("A", "B", "C", "D"), size = 1000000,
prob = rep(1, 4), replace = T),
"V2" = sample(c("E", "F", "G", "H"), size = 1000000,
prob = rep(1, 4), replace = T),
"V3" = sample(c("I", "J", "K", "L"), size = 1000000,
prob = rep(1, 4), replace = T),
"V4" = sample(c("M", "N", "O", "P"), size = 1000000,
prob = rep(1, 4), replace = T),
"V5" = 1:1000000,
"V6" = 1000000:1)
initialization <- list(
"rows" = c("V1", "V2"),
"cols" = "V3",
"target" = "V4",
"combine_target" = NULL,
"idc" = "Count",
"combine_idc" = NULL,
"combine" = NULL,
"idcs" = c(list(c("label" = "Init_variable_1",
"target" = "V3", "idc" = "Count",
"nb_decimals" = 0,
"sep_thousands" = " ",
"sep_decimal" = ".",
"prefix" = "",
"suffix" = "",
"combine" = "/", "combine_target" = "V4", "combine_idc" = "Count")),
list(c("label" = "NULL",
"target" = "V3", "idc" = "Count")))
)
server = function(input, output, session) {
shiny::callModule(module = shinypivottabler,
id = "id",
data = data,
pivot_cols = c("V1", "V2", "V3", "V4"),
initialization = initialization)
}
ui = shiny::fluidPage(
shinypivottablerUI(id = "id", app_colors = NULL, app_linewidth = 0)
)
shiny::shinyApp(ui = ui, server = server)
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