i'm having troubles using the add_tooltip from ggvis.
I just want to put a tool tip for the sessions by source to my plot.
I'm having troubles understanding the html function that needs to be created for add_tooltip()
I understand i need an "ID" within my data (you can see my data at the bottom). Please, may someone explane this part. I don't understand how ggvis uses the ID for the plot.
Visitas_Por_Fuente$id <- 1:nrow(Visitas_Por_Fuente) #Create the ID column.
Visitas_Por_Fuente %>%
ggvis(~Fuentes, ~sessions) %>%
layer_bars(width = 0.8, fill = ~Fuentes) %>%
add_tooltip(mysessions ,"hover")
mysessions <- function(x) {
if(is.null(x)) return(NULL)
#notice below the id column is how ggvis can understand which session to show
row <- Visitas_Por_Fuente[Visitas_Por_Fuente$id == x$id, ]
#prettyNum shows the number with thousand-comma separator
paste0("Sessions:", " ",prettyNum(row$sessions, big.mark=",",scientific=F))
}
The graph is shown, but when hovering says:
Warning: Unhandled error in observer: non-character argument
observe({
value <- session$input[[id]]
if (is.null(value))
return()
if (!is.list(value$data))
return()
df <- value$data
class(df) <- "data.frame"
attr(df, "row.names") <- .set_row_names(1L)
fun(data = df, location = list(x = value$pagex, y = value$pagey),
session = session)
})
My data:
structure(list(Fuentes = structure(c(3L, 5L, 6L, 6L, 4L, 5L,
5L, 5L, 5L, 7L, 7L, 1L, 6L, 7L, 5L, 5L, 4L, 5L, 5L, 5L, 5L, 5L,
5L, 6L, 7L, 3L, 5L, 6L, 6L, 5L, 6L, 5L, 5L, 5L, 5L, 7L, 7L, 6L,
1L, 6L, 5L, 5L, 4L, 5L, 5L, 4L, 6L, 5L, 5L, 5L, 5L, 7L, 3L, 5L,
6L, 6L, 4L, 6L, 5L, 5L, 4L, 4L, 5L, 7L, 7L, 6L, 7L, 5L, 4L, 5L,
4L, 2L, 2L, 6L, 5L, 5L, 5L, 6L, 7L, 3L, 6L, 4L, 6L, 4L, 5L, 5L,
5L, 5L, 4L, 5L, 7L, 7L, 1L, 6L, 7L, 5L, 5L, 4L, 5L, 5L, 4L, 2L,
2L, 5L, 5L, 5L, 4L, 5L, 4L, 5L, 6L, 7L, 3L, 6L, 6L, 5L, 5L, 5L,
5L, 7L, 7L, 1L, 6L, 7L, 5L, 5L, 7L, 5L, 4L, 2L, 2L, 5L, 5L, 5L,
5L, 5L, 5L, 6L, 7L, 3L, 6L, 4L, 6L, 4L, 4L, 5L, 5L, 7L, 7L, 1L,
6L, 5L, 5L, 7L, 5L, 5L, 4L, 5L, 5L, 4L, 2L, 5L, 5L, 5L, 4L, 5L,
6L, 7L, 3L, 5L, 6L, 6L, 5L, 6L, 5L, 5L, 5L, 5L, 5L, 5L, 7L, 7L,
1L, 6L, 5L, 5L, 5L, 7L, 5L, 5L, 7L, 4L, 5L, 5L, 4L, 2L, 2L, 5L,
5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 7L, 3L, 5L, 6L, 4L, 4L,
4L, 6L, 4L, 4L, 4L, 5L, 5L, 4L, 5L, 5L, 5L, 4L, 5L, 7L, 7L, 1L,
6L, 7L, 5L, 5L, 4L, 5L, 5L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L,
7L, 3L, 6L, 6L, 4L, 4L, 6L, 4L, 4L, 5L, 4L, 5L, 5L, 7L, 7L, 5L,
6L, 5L, 5L, 7L, 7L, 5L, 5L, 5L, 5L, 6L, 4L, 5L, 2L, 2L, 5L, 5L,
5L, 5L, 5L, 5L, 6L, 7L, 3L, 5L, 5L, 6L, 4L, 6L, 4L, 4L, 4L, 5L,
4L, 5L, 4L, 5L, 7L, 7L, 6L, 6L, 7L, 5L, 5L, 5L, 5L, 4L, 2L, 5L,
5L, 5L, 4L, 4L, 5L, 5L, 6L, 7L, 3L, 5L, 5L, 6L, 6L, 6L, 5L, 5L,
5L, 5L, 4L, 5L, 5L, 7L, 7L, 6L, 5L, 5L, 7L, 5L, 4L, 5L, 4L, 2L,
5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 7L, 3L, 5L, 6L, 6L, 6L,
4L, 4L, 5L, 5L, 4L, 5L, 7L, 7L, 1L, 6L, 5L, 7L, 5L, 5L, 4L, 5L,
5L, 4L, 6L, 5L, 5L, 5L, 5L, 6L, 7L, 3L, 5L, 6L, 6L, 6L, 4L, 6L,
5L, 4L, 5L, 4L, 5L, 7L, 7L, 4L, 5L, 7L, 7L, 5L, 1L, 6L, 5L, 7L,
5L, 5L, 4L, 5L, 4L, 2L, 2L, 6L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L,
7L, 3L, 6L, 4L, 6L, 4L, 4L, 5L, 5L, 4L, 4L, 5L, 4L, 5L, 7L, 7L,
1L, 6L, 5L, 7L, 5L, 5L, 4L, 5L, 5L, 4L, 6L, 5L, 5L, 5L, 5L, 5L,
6L, 7L, 3L, 6L, 6L, 5L, 5L, 4L, 5L, 4L, 5L, 7L, 7L, 6L, 5L, 5L,
7L, 5L, 5L, 4L, 2L, 2L, 5L, 5L, 5L, 5L, 5L, 6L, 7L, 3L, 6L, 6L,
4L, 6L, 4L, 4L, 5L, 5L, 5L, 7L, 1L, 6L, 5L, 5L, 5L, 5L, 5L, 5L,
4L, 6L, 5L, 5L, 4L, 5L, 6L, 3L, 6L, 6L, 4L, 6L, 5L, 4L, 4L, 5L,
4L, 5L, 5L, 7L, 7L, 6L, 1L, 6L, 5L, 5L, 7L, 5L, 5L, 4L, 2L, 5L,
5L, 5L, 5L, 5L, 4L, 6L, 7L, 3L, 6L, 4L, 4L, 6L, 4L, 4L, 5L, 5L,
5L, 5L, 5L, 4L, 5L, 7L, 1L, 6L, 5L, 7L, 5L, 5L, 4L, 5L, 5L, 4L,
4L, 5L, 5L, 5L, 5L, 5L, 5L, 4L, 4L, 5L, 5L, 5L, 5L, 6L, 7L, 3L,
6L, 6L, 4L, 6L, 4L, 4L, 5L, 5L, 7L, 4L, 5L, 7L, 7L, 1L, 6L, 5L,
5L, 5L, 7L, 5L, 5L, 4L, 5L, 5L, 4L, 5L, 5L, 2L, 2L, 6L, 5L, 5L,
5L, 5L, 5L, 6L, 3L, 5L, 6L, 4L, 4L, 4L, 6L, 4L, 4L, 4L, 5L, 5L,
4L, 5L, 7L, 7L, 5L, 1L, 6L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 4L, 5L,
5L, 5L, 4L, 5L, 4L, 5L, 5L, 5L, 5L, 4L, 4L, 5L, 5L, 5L, 6L, 7L,
3L, 5L, 6L, 6L, 4L, 5L, 4L, 5L, 7L, 7L, 6L, 5L, 7L, 5L, 5L, 4L,
2L, 2L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 3L, 6L, 6L, 6L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 5L, 5L, 7L, 1L, 6L, 5L, 5L, 5L, 5L, 4L, 5L, 5L,
4L, 5L, 5L, 5L, 5L, 4L, 5L, 5L, 5L, 6L, 3L, 5L, 5L, 6L, 5L, 5L,
5L, 4L, 5L, 5L, 7L, 7L, 6L, 5L, 5L, 7L, 5L, 5L, 7L, 5L, 5L, 6L,
4L, 2L, 2L, 5L, 5L, 5L, 5L, 5L, 6L, 3L, 6L, 6L, 4L, 6L, 5L, 4L,
5L, 5L, 7L, 7L, 5L, 1L, 6L, 5L, 5L, 5L, 5L, 5L, 4L, 4L, 5L, 2L,
5L, 5L, 5L, 5L, 4L, 4L, 5L, 2L, 4L, 5L, 4L, 6L, 3L, 5L, 6L, 6L,
5L, 5L, 5L, 5L, 7L, 7L, 6L, 5L, 7L, 5L, 7L, 5L, 5L, 5L, 2L, 5L,
2L, 5L, 5L, 5L, 5L, 6L, 7L, 3L, 6L, 5L, 5L, 4L, 5L, 7L, 7L, 1L,
6L, 7L, 5L, 5L, 4L, 5L, 5L, 4L, 2L, 2L, 5L, 6L, 7L, 3L, 6L, 6L,
5L, 5L, 5L, 7L, 5L, 7L, 7L, 5L, 5L, 6L, 5L, 5L, 5L, 5L, 5L, 4L,
5L, 5L, 4L, 5L, 2L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,
6L, 5L, 3L, 6L, 6L, 4L, 6L, 5L, 5L, 5L, 5L, 5L, 7L, 7L, 5L, 1L,
6L, 5L, 5L, 7L, 5L, 5L, 4L, 5L, 5L, 5L, 4L, 5L, 6L, 5L, 5L, 5L,
5L, 5L, 5L, 5L, 6L, 3L, 6L, 6L, 4L, 6L, 5L, 5L, 7L, 7L, 6L, 5L,
5L, 7L, 5L, 5L, 5L, 5L, 5L, 4L, 2L, 2L, 5L, 5L, 5L, 5L, 5L, 5L,
6L, 7L, 3L, 6L, 4L, 6L, 5L, 4L, 5L, 5L, 4L, 5L, 7L, 7L, 5L, 1L,
6L, 5L, 5L, 5L, 5L, 5L, 5L, 4L, 5L, 5L, 5L, 6L, 3L, 6L, 6L, 4L,
5L, 5L, 7L, 7L, 1L, 6L, 7L, 5L, 5L, 5L, 5L, 5L, 5L, 4L, 2L, 2L,
5L, 5L, 5L, 5L, 6L, 7L, 3L, 6L, 6L, 5L, 5L, 5L, 5L, 7L, 7L, 5L,
6L, 7L, 5L, 5L, 5L, 4L, 5L, 5L, 5L, 5L, 4L, 4L, 5L, 5L, 5L, 4L,
5L, 6L, 3L, 6L, 6L, 4L, 6L, 4L, 5L, 5L, 5L, 5L, 7L, 6L, 6L, 5L,
5L, 7L, 5L, 5L, 5L, 5L, 5L, 4L, 2L, 2L, 6L, 5L, 5L, 5L, 5L, 5L,
5L, 5L, 6L, 7L, 3L, 5L, 6L, 4L, 4L, 4L, 5L, 6L, 4L, 4L, 5L, 4L,
5L, 4L, 5L, 7L, 7L, 1L, 6L, 5L, 5L, 5L, 5L, 7L, 5L, 5L, 5L, 5L,
5L, 5L, 4L, 4L, 2L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 7L, 3L,
5L, 6L, 6L, 5L, 4L, 5L, 5L, 7L, 6L, 5L, 5L, 5L, 5L, 2L, 2L, 5L,
6L, 3L, 5L, 5L, 6L, 4L, 6L, 5L, 4L, 5L, 7L, 7L, 1L, 6L, 5L, 7L,
5L, 5L, 5L, 5L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 7L, 3L, 6L, 6L,
6L, 4L, 5L, 5L, 5L, 5L, 7L, 7L, 6L, 5L, 5L, 5L, 5L, 5L, 2L, 2L,
6L, 3L, 6L, 4L, 6L, 4L, 5L, 4L, 5L, 7L, 1L, 6L, 5L, 5L, 5L, 5L,
5L, 4L, 5L, 5L, 5L, 2L, 5L, 6L, 7L, 3L, 6L, 6L, 5L, 5L, 5L, 7L,
7L, 6L, 5L, 5L, 5L, 5L, 5L, 4L, 5L, 2L, 2L, 5L, 5L, 5L, 6L, 3L,
6L, 4L, 6L, 4L, 5L, 5L, 4L, 4L, 5L, 5L, 7L, 7L, 5L, 1L, 6L, 5L,
5L, 5L, 4L, 5L, 5L, 5L, 5L, 4L, 5L, 6L, 5L, 5L, 6L, 7L, 3L, 6L,
4L, 5L, 6L, 5L, 5L, 5L, 5L, 4L, 5L, 7L, 7L, 6L, 5L, 5L, 7L, 5L,
5L, 5L, 4L, 5L, 5L, 4L, 2L, 2L, 5L, 5L, 5L, 5L, 4L, 6L, 3L, 6L,
6L, 6L, 4L, 5L, 5L, 5L, 4L, 5L, 7L, 7L, 6L, 5L, 5L, 5L, 4L, 5L,
5L, 4L, 5L, 5L, 5L, 6L, 3L, 5L, 5L, 6L, 6L, 5L, 4L, 5L, 5L, 7L,
7L, 6L, 5L, 5L, 5L, 5L, 4L, 5L, 4L, 2L, 2L, 5L, 5L, 5L, 5L, 5L,
6L, 5L, 3L, 6L, 4L, 5L, 5L, 5L, 7L, 7L, 5L, 1L, 6L, 5L, 5L, 5L,
5L, 4L, 5L, 5L, 5L, 4L, 5L, 5L, 6L, 7L, 3L, 5L, 6L, 6L, 5L, 5L,
5L, 5L, 7L, 6L, 7L, 5L, 5L, 5L, 5L, 4L, 2L, 2L, 5L, 7L, 3L, 6L,
4L, 5L, 6L, 5L, 5L, 5L, 7L, 6L, 5L, 5L, 5L, 4L, 5L, 5L, 4L, 5L,
5L, 6L, 3L, 6L, 6L, 5L, 1L, 6L, 5L, 5L, 4L, 5L, 4L, 2L, 2L, 5L,
5L, 5L, 5L, 6L, 3L, 6L, 6L, 5L, 5L, 5L, 7L, 7L, 5L, 6L, 5L, 5L,
5L, 5L, 5L, 4L, 6L, 3L, 6L, 6L, 5L, 5L, 7L, 7L, 6L, 5L, 5L, 5L,
5L, 5L, 4L, 2L, 2L, 6L, 3L, 6L, 5L, 6L, 4L, 4L, 5L, 7L, 7L, 1L,
6L, 5L, 5L, 5L, 5L, 4L, 5L, 5L, 5L, 3L, 6L, 6L, 5L, 5L, 5L, 5L,
7L, 6L, 5L, 5L, 4L, 5L, 4L, 2L, 2L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,
5L, 4L, 6L, 7L, 3L, 5L, 6L, 6L, 4L, 5L, 5L, 5L, 4L, 4L, 5L, 7L,
7L, 6L, 5L, 5L, 5L, 4L, 5L, 5L, 5L, 4L, 2L, 5L, 5L, 5L, 4L, 4L,
5L, 5L, 4L, 6L, 3L, 6L, 6L, 6L, 5L, 5L, 5L, 5L, 7L, 5L, 6L, 5L,
5L, 7L, 5L, 5L, 5L, 2L, 2L, 5L, 5L, 5L, 5L, 5L, 6L, 3L, 6L, 4L,
4L, 5L, 4L, 5L, 6L, 5L, 5L, 5L, 4L, 5L, 5L, 5L, 5L, 4L, 2L, 5L,
5L, 4L, 4L, 6L, 3L, 6L, 6L, 5L, 5L, 5L, 7L, 6L, 5L, 5L, 5L, 5L,
5L, 4L, 2L, 5L, 5L, 5L, 5L, 5L, 6L, 7L, 3L, 6L, 4L, 6L, 5L, 5L,
5L, 7L, 5L, 1L, 6L, 7L, 5L, 5L, 4L, 5L, 5L, 4L, 5L, 5L, 5L, 6L,
7L, 3L, 6L, 6L, 6L, 5L, 5L, 5L, 5L, 6L, 5L, 5L, 5L, 5L, 4L, 5L,
2L, 5L, 5L, 5L, 5L, 6L, 3L, 5L, 4L, 4L, 6L, 4L, 5L, 5L, 5L, 7L,
6L, 5L, 5L, 4L, 5L, 5L, 4L, 4L, 5L, 5L, 5L, 3L, 6L, 6L, 5L, 5L,
7L, 6L, 5L, 5L, 5L, 5L, 7L, 5L, 4L, 2L, 5L, 5L, 5L, 5L, 5L, 6L,
7L, 3L, 4L, 6L, 5L, 5L, 4L, 5L, 5L, 7L, 1L, 6L, 5L, 5L, 5L, 5L,
5L, 5L, 5L, 4L, 4L, 5L, 6L, 3L, 6L, 6L, 6L, 5L, 5L, 5L, 5L, 7L,
6L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 3L, 6L, 4L, 6L, 5L, 5L, 7L, 7L,
5L, 6L, 5L, 5L, 5L, 5L), .Label = c("Adwords", "Campañas", "Directo",
"Email", "Referencias", "SEO", "Social Media"), class = "factor"),
sessions = c(197L, 1L, 7L, 13L, 1L, 1L, 10L, 1L, 3L, 3L,
5L, 3L, 566L, 1L, 27L, 159L, 7L, 1L, 6L, 1L, 1L, 4L, 1L,
6L, 10L, 129L, 1L, 7L, 2L, 1L, 10L, 1L, 5L, 6L, 9L, 1L, 28L,
1L, 7L, 386L, 1L, 146L, 1L, 89L, 41L, 9L, 1L, 1L, 1L, 6L,
3L, 4L, 182L, 1L, 5L, 8L, 2L, 1L, 1L, 4L, 1L, 1L, 2L, 3L,
2L, 524L, 4L, 26L, 1L, 152L, 4L, 2L, 3L, 1L, 2L, 2L, 1L,
5L, 10L, 142L, 1L, 1L, 8L, 1L, 3L, 1L, 1L, 1L, 1L, 7L, 4L,
13L, 3L, 375L, 3L, 2L, 147L, 1L, 101L, 29L, 4L, 1L, 1L, 2L,
3L, 1L, 1L, 2L, 1L, 7L, 5L, 5L, 224L, 3L, 12L, 1L, 7L, 2L,
1L, 4L, 141L, 4L, 632L, 2L, 2L, 32L, 1L, 138L, 1L, 1L, 9L,
5L, 1L, 1L, 1L, 2L, 1L, 6L, 3L, 139L, 4L, 1L, 9L, 1L, 1L,
5L, 9L, 8L, 36L, 1L, 537L, 1L, 2L, 5L, 3L, 174L, 1L, 106L,
39L, 9L, 2L, 2L, 2L, 3L, 1L, 6L, 3L, 2L, 689L, 1L, 14L, 2L,
2L, 35L, 1L, 15L, 1L, 1L, 1L, 3L, 20L, 465L, 1L, 3269L, 1L,
2L, 1L, 9L, 1L, 32L, 6L, 2L, 293L, 1L, 3L, 1L, 11L, 2L, 1L,
9L, 10L, 1L, 1L, 1L, 1L, 1L, 2L, 7L, 2L, 433L, 1L, 4L, 1L,
1L, 3L, 19L, 1L, 2L, 1L, 1L, 12L, 1L, 4L, 1L, 1L, 3L, 37L,
10L, 88L, 6L, 1808L, 5L, 4L, 451L, 5L, 219L, 112L, 4L, 3L,
1L, 6L, 1L, 2L, 3L, 5L, 10L, 2L, 264L, 8L, 1L, 1L, 1L, 17L,
1L, 1L, 7L, 1L, 1L, 4L, 6L, 516L, 1L, 948L, 2L, 1L, 2L, 1L,
33L, 1L, 1L, 133L, 1L, 2L, 1L, 5L, 11L, 1L, 4L, 1L, 1L, 1L,
6L, 10L, 5L, 168L, 1L, 1L, 5L, 1L, 10L, 1L, 1L, 3L, 9L, 1L,
2L, 1L, 8L, 3L, 98L, 1L, 548L, 1L, 1L, 177L, 97L, 17L, 4L,
1L, 6L, 2L, 1L, 2L, 1L, 1L, 5L, 4L, 5L, 235L, 1L, 2L, 9L,
2L, 19L, 1L, 2L, 2L, 1L, 1L, 3L, 6L, 5L, 396L, 1209L, 1L,
2L, 1L, 41L, 1L, 125L, 3L, 5L, 1L, 4L, 1L, 1L, 4L, 1L, 3L,
1L, 1L, 5L, 2L, 121L, 2L, 1L, 1L, 10L, 1L, 1L, 4L, 1L, 2L,
10L, 3L, 75L, 5L, 632L, 1L, 2L, 2L, 178L, 1L, 67L, 33L, 6L,
1L, 1L, 1L, 2L, 1L, 12L, 3L, 194L, 1L, 1L, 1L, 1L, 1L, 20L,
1L, 1L, 6L, 1L, 1L, 1L, 1L, 1L, 3L, 2L, 296L, 1L, 1L, 979L,
6L, 4L, 1L, 33L, 1L, 109L, 5L, 2L, 6L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 6L, 3L, 118L, 1L, 1L, 15L, 1L, 1L, 1L, 1L, 1L,
4L, 2L, 1L, 18L, 6L, 53L, 3L, 584L, 2L, 1L, 2L, 172L, 2L,
100L, 27L, 9L, 2L, 1L, 2L, 1L, 1L, 1L, 11L, 3L, 202L, 6L,
20L, 2L, 1L, 1L, 4L, 1L, 8L, 2L, 292L, 719L, 2L, 1L, 2L,
29L, 106L, 7L, 3L, 8L, 2L, 2L, 1L, 1L, 1L, 7L, 3L, 139L,
4L, 1L, 2L, 17L, 1L, 2L, 3L, 2L, 20L, 53L, 3L, 530L, 2L,
1L, 1L, 172L, 113L, 23L, 2L, 1L, 4L, 2L, 2L, 1L, 7L, 891L,
10L, 1L, 1L, 12L, 1L, 1L, 1L, 1L, 1L, 4L, 5L, 6L, 1312L,
1L, 1L, 1168L, 1L, 4L, 2L, 39L, 133L, 3L, 13L, 5L, 2L, 6L,
1L, 1L, 1L, 13L, 3L, 297L, 4L, 1L, 1L, 9L, 1L, 1L, 1L, 1L,
2L, 1L, 2L, 1L, 25L, 182L, 1L, 776L, 2L, 1L, 1L, 260L, 2L,
115L, 52L, 14L, 2L, 4L, 3L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L,
2L, 1L, 14L, 2L, 731L, 7L, 2L, 1L, 16L, 1L, 1L, 3L, 2L, 1L,
1L, 11L, 6L, 294L, 1L, 1135L, 1L, 3L, 1L, 6L, 1L, 36L, 1L,
1L, 126L, 4L, 1L, 1L, 4L, 11L, 1L, 2L, 1L, 2L, 2L, 1L, 6L,
355L, 3L, 9L, 1L, 4L, 1L, 13L, 2L, 1L, 1L, 7L, 1L, 1L, 22L,
5L, 67L, 1L, 2L, 926L, 1L, 1L, 1L, 1L, 2L, 1L, 208L, 1L,
1L, 136L, 44L, 12L, 1L, 1L, 2L, 2L, 4L, 2L, 1L, 1L, 1L, 1L,
8L, 9L, 1L, 198L, 1L, 8L, 13L, 2L, 4L, 1L, 4L, 2L, 205L,
568L, 1L, 1L, 19L, 94L, 2L, 3L, 8L, 1L, 1L, 1L, 1L, 1L, 1L,
8L, 157L, 4L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 12L,
28L, 3L, 444L, 3L, 1L, 2L, 118L, 2L, 75L, 27L, 1L, 1L, 4L,
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"sessions"), class = "data.frame", row.names = c(NA, -1724L))
In general, you need to give the layer a "key" to be returned when hovering or clicking it which is then used as input for the tooltip function.
A problem I see here is that you are producing a bar chart (i.e. values are summed up per "Fuente" type) but you want to use a tooltip for each single observation (row) in your data. So the problem is that in your chart you don't display each data point (observation) separated and hence it will be difficult, when hovering over a bar, to know what specific data point (observation) you want to return for the tooltip.
In order to show how it might work for layer_points with observation-specific tooltips, I adapted your code like this:
Visitas_Por_Fuente$id <- 1:nrow(Visitas_Por_Fuente) #Create the ID column.
mysessions <- function(x) {
if(is.null(x)) return(NULL)
# get the current session info, based on "id" that is hovered over:
current_session <- Visitas_Por_Fuente[Visitas_Por_Fuente$id == x$id, "sessions"]
# format the value with prettyNum if you like:
paste0("Sessions:", " ",prettyNum(current_session, big.mark=",",scientific=F))
}
Visitas_Por_Fuente %>%
ggvis(~Fuentes, ~sessions) %>%
layer_points(fill = ~Fuentes, key := ~id) %>% # define a key
add_tooltip(mysessions ,"hover")
Here's another version with tool tips for a bar chart showing the total number of sessions per "Fuente" type when hovering over a bar (this is possible because it doesn't require to know what single data point is used - instead we use "Fuente" as key):
mysessions <- function(x) {
if(is.null(x)) return(NULL)
# compute the total number of sessions of the "Fuente" type that is hovered over
total_sessions <-
sum(Visitas_Por_Fuente[Visitas_Por_Fuente$Fuentes == x$Fuentes, "sessions"])
# format the value with prettyNum if you like:
paste0("Total number of Sessions:", " ",
prettyNum(total_sessions, big.mark=",",scientific=F))
}
Visitas_Por_Fuente %>%
ggvis(~Fuentes, ~sessions) %>%
layer_bars(width = 0.8, fill = ~Fuentes, key := ~Fuentes) %>%
add_tooltip(mysessions ,"hover")