在 Plotly 中分组的分组条形图

Question

我试图在 plotly 中创建一个分组条形图，但我似乎无法在一个组中为我的条形着色（所以它们都是相同的颜色）。有谁知道如何在情节中做到这一点？我想根据子类别为我的条形图着色（因此子类别中的所有条形都有自己的颜色）。我曾尝试向图形添加跟踪，但没有运气。谢谢。

sample <- data.frame(
  Category <- c("Furniture","Furniture","Furniture","Furniture",
                "Office Supplies","Office Supplies", "Office Supplies", "Office Supplies",
                "Office Supplies", "Office Supplies", "Office Supplies", "Office Supplies",
                "Office Supplies", "Technology","Technology","Technology","Technology"),
  SubCategory <- c("Bookcases","Chairs","Furnishings","Tables","Appliances","Art","Binders","Envelopes", 
                   "Fasteners","Labels","Paper","Storage",  "Supplies", "Accessories","Copiers","Machines",
                   "Phones"),
  sales <- c(889222.51,920892.65,239840.16,445823.93,614737.91,225594.68,281494.68,104903.88,50156.06,44269.30,
             150113.36,692903.08,152196.19,463383.33,965899.78,458655.43,1005525.38)
)

#plot code so far
sample %>%
  plot_ly(
    x = Category,
    y = sales,
    type = "bar",
    group = SubCategory
  )

下面是我到目前为止所拥有的，但着色不是基于分组的。当我提供颜色变量时，它不会将 SubCategory 中的所有条形着色为相同的颜色。这是可能的错误吗？

Answer 1

使用ggplot2....

library(ggplot2)
library(cowplot) #ggplot2 white theme 

sample <- data.frame(
  Category <- c("Furniture","Furniture","Furniture","Furniture",
                "Office Supplies","Office Supplies", "Office Supplies", "Office Supplies",
                "Office Supplies", "Office Supplies", "Office Supplies", "Office Supplies",
                "Office Supplies", "Technology","Technology","Technology","Technology"),
  SubCategory <- c("Bookcases","Chairs","Furnishings","Tables","Appliances","Art","Binders","Envelopes", 
                   "Fasteners","Labels","Paper","Storage",  "Supplies", "Accessories","Copiers","Machines",
                   "Phones"),
  sales <- c(889222.51,920892.65,239840.16,445823.93,614737.91,225594.68,281494.68,104903.88,50156.06,44269.30,
             150113.36,692903.08,152196.19,463383.33,965899.78,458655.43,1005525.38)
)

colnames(sample)<-c("category","subcategory","Sales")

ggplot(sample, aes(category, Sales)) +   
  geom_bar(aes(fill = category, color = subcategory), position = "dodge", stat = "identity")+scale_color_manual(values = c(rep("white", 17)))+theme(legend.position = "none")

现在使用plotly的ggplotly

plot<-ggplot(sample, aes(category, Sales)) +   
      geom_bar(aes(fill = category, color=subcategory), position = "dodge", stat="identity")+scale_color_manual(values=c(rep("white", 17)))+theme(legend.position="none")
ggplotly(plot)

最后用原版 plotly

sample <- data.frame(
  Category <- c("Furniture","Furniture","Furniture","Furniture",
                "Office Supplies","Office Supplies", "Office Supplies", "Office Supplies",
                "Office Supplies", "Office Supplies", "Office Supplies", "Office Supplies",
                "Office Supplies", "Technology","Technology","Technology","Technology"),
  SubCategory <- c("Bookcases","Chairs","Furnishings","Tables","Appliances","Art","Binders","Envelopes", 
                   "Fasteners","Labels","Paper","Storage",  "Supplies", "Accessories","Copiers","Machines",
                   "Phones"),
  sales <- c(889222.51,920892.65,239840.16,445823.93,614737.91,225594.68,281494.68,104903.88,50156.06,44269.30,
             150113.36,692903.08,152196.19,463383.33,965899.78,458655.43,1005525.38)
)

sample %>%
  plot_ly(
    x = SubCategory,
    y = sales,
    type = "bar",
    group = Category
)