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rggplot2plotlytreemapr-plotly

How can I plotly a ggplot treemap?

I am looking to get this gradient colors on the map: 

ramp <- colorRamp(c("royalblue4", "white"))
ramp.list <- rgb( ramp(seq(0, 1, length = 15)), max = 255)

But also, and more important, I am looking to add plotly charactheristics to the graph (specially hovering text output). This is my data:

structure(list(V1 = structure(c(9L, 8L, 4L, 7L, 2L, 6L, 1L, 3L, 
5L, 10L, 13L, 11L, 12L), .Label = c("Apple", "Avocado", "Banana", 
"Carrot", "Mango", "Mushroom", "Onion", "Orange", "Pineapple", 
"Strawberry", "Sweet-lemon", "Watermelon", "Wildberry"), class = "factor"), 
    V2 = structure(c(4L, 3L, 9L, 11L, 12L, 2L, 1L, 6L, 10L, 5L, 
    7L, 8L, 1L), .Label = c("23", "24", "36", "42", "43", "46", 
    "48", "52", "56", "61", "82", "94"), class = "factor")), class = "data.frame", row.names = c(NA, 
-13L))

And this is what I've tried:

library(ggplot2)
library(plotly)

ramp <- colorRamp(c("royalblue4", "white"))
ramp.list <- rgb( ramp(seq(0, 1, length = 15)), max = 255)
g <- ggplot(dtd7, aes(area = n, fill = topic, label = as.character(topic))) +
  geom_treemap()+
  geom_treemap_text(fontface = "italic", colour = "white", place = "centre")  +
  theme(legend.position = "none") 

ggplotly(p)
Solution

  • Using treemap traces you can display hierarchical datasets.

    Accordingly the problem with your code snippet from the comments plot_ly(dtd7, ids = ~topic, values = ~n, parents = ~topic, type = 'treemap') is, that you are assigning the same data to ids and parents.

    Please check the following:

    library(plotly)

dtd7 <- structure(
  list(
    topic = structure(
      c(9L, 8L, 4L, 7L, 2L, 6L, 1L, 3L,
        5L, 10L, 13L, 11L, 12L),
      .Label = c("Apple", "Avocado", "Banana", "Carrot", "Mango","Mushroom", "Onion", "Orange", "Pineapple", "Strawberry", "Sweet-lemon", "Watermelon", "Wildberry"),
      class = "factor"
    ),
    n = structure(
      c(4L, 3L, 9L, 11L, 12L, 2L, 1L, 6L, 10L, 5L,
        7L, 8L, 1L),
      .Label = c("23", "24", "36", "42", "43", "46", "48", "52", "56", "61", "82", "94"),
      class = "factor"
    )
  ),
  class = "data.frame",
  row.names = c(NA,-13L)
)

p <- plot_ly(
  dtd7,
  labels = ~ topic,
  parents = NA,
  values = ~ n,
  type = 'treemap',
  hovertemplate = "Ingredient: %{label}<br>Count: %{value}<extra></extra>"
)

p

    Result