介绍
ggcharts提供了一个高级{ggplot2}接口，用于创建通用图表。它的目标既简单又雄心勃勃:让您更快地从数据可视化的想法到实际的绘图。所以如何?通过处理大量的数据预处理，为您模糊{ggplot2}细节和绘图样式。生成的图是ggplot对象，可以使用任何{ggplot2}函数进一步定制。
remotes::install_github("thomas-neitmann/ggcharts")
library(ggcharts)
library(tidyverse)
data("biomedicalrevenue")pl1 <- biomedicalrevenue %>%filter(year %in% c(2012, 2015, 2018)) %>%group_by(year) %>%top_n(10, revenue) %>%ungroup() %>%mutate(company = tidytext::reorder_within(company, revenue, year)) %>%ggplot(aes(company, revenue)) +geom_col() +coord_flip() +tidytext::scale_x_reordered() +facet_wrap(vars(year), scales = "free_y")pl2 <- biomedicalrevenue %>%filter(year %in% c(2012, 2015, 2018)) %>%bar_chart(x = company, y = revenue, facet = year, top_n = 10)wrap_plots(pl1, pl2, ncol = 1)
Charts
各种线图
data("revenue_wide")line_chart(data = revenue_wide, x = year, y = Roche:Bayer) +labs(x = "Year", y = "Revenue (Billion USD)")
biomedicalrevenue %>%filter(year == 2018) %>%lollipop_chart(x = company, y = revenue, threshold = 30) +labs(x = NULL,y = "Revenue",title = "Biomedical Companies with Revenue > $30Bn.") +scale_y_continuous(labels = function(x) paste0("$", x, "Bn."),expand = expansion(mult = c(0, .05)))
data("popeurope")
dumbbell_chart(data = popeurope,x = country,y1 = pop1952,y2 = pop2007,top_n = 10,point_colors = c("lightgray", "#494F5C")
) +labs(x = NULL,y = "Population",title = "Europe's Largest Countries by Population in 2007") +scale_y_continuous(limits = c(0, NA),labels = function(x) paste(x, "Mn."))
data(mtcars)
mtcars_z <- dplyr::transmute(.data = mtcars,model = row.names(mtcars),hpz = scale(hp)
)diverging_bar_chart(data = mtcars_z, x = model, y = hpz)
diverging_lollipop_chart(data = mtcars_z,x = model,y = hpz,lollipop_colors = c("#006400", "#b32134"),text_color = c("#006400", "#b32134")
)
data("popch")
pyramid_chart(data = popch, x = age, y = pop, group = sex)
 bug)
)
