R 为组织结构图创建Sankey图

R 为组织结构图创建Sankey图,r,visualization,sankey-diagram,networkd3,orgchart,R,Visualization,Sankey Diagram,Networkd3,Orgchart,我在excel表格中有两列相关数据: 员工姓名和经理姓名 我想在R中使用networkD3创建一个包含这些数据的Sankey图,以显示我们的组织是如何分裂的。我对R是一个相对的业余爱好者,但我已经能够通过硬编码每个节点来生成Sankey图表。用我掌握的数据能做到这一点吗 library(networkD3) nodes = data.frame("name" = c(All_Employees$`Employee Name`)) links

我在excel表格中有两列相关数据: 员工姓名和经理姓名

我想在R中使用networkD3创建一个包含这些数据的Sankey图,以显示我们的组织是如何分裂的。我对R是一个相对的业余爱好者,但我已经能够通过硬编码每个节点来生成Sankey图表。用我掌握的数据能做到这一点吗

    library(networkD3)
nodes = data.frame("name" = 
                     c(All_Employees$`Employee Name`))

links = as.data.frame(matrix(c(
  All_Employees$`Employee Name`,All_Employees$`Manager Name`,1),
  byrow = TRUE, ncol = 3))
names(links) = c("source", "target", "value")
sankeyNetwork(Links = links, Nodes = nodes,
              Source = "source", Target = "target",
              Value = "value", NodeID = "name",
              fontSize= 12, nodeWidth = 30)

Sankey图表可能不是这方面的最佳绘图类型,但如果您首先将数据安排为正确的格式,它将起作用

All_Employees <- 
read.csv(header = T, na.strings = "", stringsAsFactors = F, check.names = F, 
text = "
Employee Name,Manager Name
Betty,
Tom,Betty
Bob,Betty
Mark,Tom
John,Tom
Sally,Bob")

node_names <- factor(sort(unique(as.character(unname(unlist(All_Employees))))))
nodes <- data.frame(name = node_names)
links <- data.frame(source = match(All_Employees$`Manager Name`, node_names) - 1, 
                    target = match(All_Employees$`Employee Name`, node_names) - 1,
                    value = 1)
links <- links[!is.na(links$source), ]

library(networkD3)
sankeyNetwork(Links = links, Nodes = nodes,
              Source = "source", Target = "target",
              Value = "value", NodeID = "name",
              fontSize = 12, nodeWidth = 30)

或者,如果您使用的是开发版本的
networkD3
,则可以更轻松地使用新的
treeNetwork()
函数,该函数具有更多的自定义功能(但由于仍在开发中,因此仍然存在错误)


请提供一个可复制的示例。
library(dplyr)
library(data.tree)
library(networkD3)

All_Employees %>% 
  filter(!is.na(`Manager Name`)) %>% 
  data.tree::FromDataFrameNetwork() %>%
  data.tree::ToListExplicit(unname = TRUE) %>%
  diagonalNetwork()
library(dplyr)
library(networkD3)

All_Employees %>% 
  rename(nodeId = `Employee Name`, parentId = `Manager Name`) %>% 
  mutate(name = nodeId) %>% 
  treeNetwork(direction = "down", linkType = "elbow")