我看到的例子是条形图深入到条形图,但我似乎找不到一个饼图的例子,深入到另一个饼图在RShiny。
lokaqttq1#
您可以在hc_drilldown()中指定type参数,如图所示,方法是编辑highcharter reference page中的范例。
hc_drilldown()
type
library(highcharter) library(dplyr) library(purrr) df <- tibble( name = c("Animals", "Fruits"), y = c(5, 2), drilldown = tolower(name) ) df # > # A tibble: 2 x 3 # > name y drilldown # > <chr> <dbl> <chr> # > 1 Animals 5 animals # > 2 Fruits 2 fruits hc <- highchart() %>% hc_title(text = "Basic drilldown") %>% hc_xAxis(type = "category") %>% hc_legend(enabled = FALSE) %>% hc_plotOptions( series = list( boderWidth = 0, dataLabels = list(enabled = TRUE) ) ) %>% hc_add_series( data = df, type = "pie", hcaes(name = name, y = y), name = "Things", colorByPoint = TRUE ) dfan <- data.frame( name = c("Cats", "Dogs", "Cows", "Sheep", "Pigs"), value = c(4, 3, 1, 2, 1) ) dffru <- data.frame( name = c("Apple", "Organes"), value = c(4, 2) ) dsan <- list_parse2(dfan) dsfru <- list_parse2(dffru) hc <- hc %>% hc_drilldown( allowPointDrilldown = TRUE, series = list( list( id = "animals", type = "pie", data = dsan ), list( id = "fruits", type = "pie", data = dsfru ) ) ) print(hc)
1条答案
按热度按时间lokaqttq1#
您可以在
hc_drilldown()
中指定type
参数,如图所示,方法是编辑highcharter reference page中的范例。