在 r plotly 中不使用 "transforms" 的多组分组条形图（在同一图上）

Question

代码：

library(plotly)
library(tidyverse)

df <- data.frame(protein = c("Chicken", "Beef", "Pork", "Fish",
                             "Chicken", "Beef", "Pork", "Fish"),
                 y1 = c(3, 24, 36, 49, 7, 15, 34, 49),
                 y2 = c(9, 28, 40, 47, 8, 20, 30, 40 ), 
                 gender = c("Male", "Male", "Male", "Male",
                            "Female", "Female", "Female", "Female"))

df %>%
  plot_ly() %>% 
  add_bars (y = ~y1, x = ~protein,
            name = 'y1.male') %>% add_bars(y = ~y2,
               x=~protein, color = I("green"),name = "y2.male")%>%
  add_bars(y = ~y1, x = ~protein, color = I("black"),
           name = 'y1.female') %>% add_bars(y = ~y2,
                x=~protein, color = I("red"), name = "y2.female")

我想要的结果是创建类似这样的东西：

但是当您运行代码时，您会看到它在每个栏中堆叠了“男性”和“女性”值。我想用“y1.male”代表y=y1时的“男”数据，“y2.male”代表y=y2时的“男”数据，“y1.female”代表y = y1 时的“女性”数据，以及 y = y2 时的“y2.female”代表“女性”数据。我怎样才能做到这一点而不必在 r-plotly 中通过“转换”使用过滤器？

Answer 1

我们可以将数据重新排列为长格式，然后绘制它：

df %>% 
  pivot_longer(cols = c(y1, y2)) %>% 
  unite(gender_var, c(gender, name)) %>% 
 plot_ly() %>% 
  add_bars (x = ~protein, y = ~value,
            name = ~gender_var)

在 r plotly 中不使用 "transforms" 的多组分组条形图（在同一图上）

Multiple sets of grouped bar charts (on the same plot) without using "transforms" in r plotly

r

bar-chart

plotly

tidyverse

r-plotly