example code to create a Sankey chart with networkD3::sankeyNetwork()
...
library("networkD3")
a = read.csv(header = TRUE, text = "
date,Data Center,Customer,companyID,source,target,value
6/1/2021,dcA,customer1,companyID1,open_list_view_1,open_card_2,1
6/1/2021,dcA,customer1,companyID1,open_card_2,edit_card_3,1
6/1/2021,dcA,customer1,companyID1,edit_card_3,save_card_4,1
6/1/2021,dcA,customer1,companyID1,save_card_4,back_to_card_list_5,2
6/1/2021,dcA,customer1,companyID1,back_to_card_list_5,show_more_6,1
6/1/2021,dcA,customer1,companyID1,show_more_6,view_introduction_7,1
6/1/2021,dcA,customer1,companyID1,view_introduction_7,scroll_down_8,2
6/2/2021,dcA,customer2,companyID2,open_list_view_1,open_card_2,3
6/2/2021,dcA,customer2,companyID2,open_card_2,edit_card_3,1
6/2/2021,dcA,customer2,companyID2,edit_card_3,save_card_4,4
6/2/2021,dcA,customer2,companyID2,save_card_4,back_to_card_list_5,2
6/2/2021,dcA,customer2,companyID2,back_to_card_list_5,show_more_6,1
6/2/2021,dcA,customer2,companyID2,show_more_6,view_introduction_7,1
6/2/2021,dcA,customer2,companyID2,view_introduction_7,scroll_down_8,5
")
node_names <- unique(c(as.character(a$source), as.character(a$target)))
nodes <- data.frame(name = node_names)
links <- data.frame(source = match(a$source, node_names) - 1,
target = match(a$target, node_names) - 1,
value = a$value)
p <- sankeyNetwork(Links = links, Nodes = nodes, Source = "source",
Target = "target", Value = "value", NodeID = "name",
sinksRight = FALSE)
onRender(
p,
function(el,x){
// select all our node text
var node_text = d3.select(el)
.selectAll(".node text")
.attr("x", 6 x.options.nodeWidth)
.attr("text-anchor", "start");
}
)
I want to show the total number ( the result of sum(value) per each node ) next to node label. I found this post on StackOverflow, and tried to simulate some JavaScript code according to the answer in the post, but I can't make it work.
CodePudding user response:
The jsCode
argument of htmlwidgets::onRender()
is a string/character vector that contains valid JavaScript.
library(networkD3)
a = read.csv(header = TRUE, text = "
date,Data Center,Customer,companyID,source,target,value
6/1/2021,dcA,customer1,companyID1,open_list_view_1,open_card_2,1
6/1/2021,dcA,customer1,companyID1,open_card_2,edit_card_3,1
6/1/2021,dcA,customer1,companyID1,edit_card_3,save_card_4,1
6/1/2021,dcA,customer1,companyID1,save_card_4,back_to_card_list_5,2
6/1/2021,dcA,customer1,companyID1,back_to_card_list_5,show_more_6,1
6/1/2021,dcA,customer1,companyID1,show_more_6,view_introduction_7,1
6/1/2021,dcA,customer1,companyID1,view_introduction_7,scroll_down_8,2
6/2/2021,dcA,customer2,companyID2,open_list_view_1,open_card_2,3
6/2/2021,dcA,customer2,companyID2,open_card_2,edit_card_3,1
6/2/2021,dcA,customer2,companyID2,edit_card_3,save_card_4,4
6/2/2021,dcA,customer2,companyID2,save_card_4,back_to_card_list_5,2
6/2/2021,dcA,customer2,companyID2,back_to_card_list_5,show_more_6,1
6/2/2021,dcA,customer2,companyID2,show_more_6,view_introduction_7,1
6/2/2021,dcA,customer2,companyID2,view_introduction_7,scroll_down_8,5
")
node_names <- unique(c(as.character(a$source), as.character(a$target)))
nodes <- data.frame(name = node_names)
links <- data.frame(source = match(a$source, node_names) - 1,
target = match(a$target, node_names) - 1,
value = a$value)
p <- sankeyNetwork(Links = links, Nodes = nodes, Source = "source",
Target = "target", Value = "value", NodeID = "name",
sinksRight = FALSE)
javascript_string <-
'function(el, x){
d3.select(el).selectAll(".node text")
.text(d => d.name " (" d.value ")");
}'
htmlwidgets::onRender(x = p, jsCode = javascript_string)