I'm trying to plot stacked bar chart in plotly (plotly_4.5.6)
from data like here:
> dane
visit_source variable value
1 organic 2016 32
2 social 2016 20
3 hp 2016 24
4 branded 2016 24
5 organic 2015 25
6 social 2015 25
7 hp 2015 25
8 branded 2015 25
Using this code:
library("dplyr")
library("plotly")
plot_ly(dane, y = ~variable, x = ~value, color = ~visit_source, text = ~paste0(value, "%"),
type = "bar", hoverinfo = "text+name", marker = list(line = list(color = "white", width = 2))) %>%
layout(barmode = "stack",
legend = list(orientation = "h"),
xaxis = list(ticksuffix = "%"),
yaxis = list(title = ""))
I get:
But when I modify my data.frame
a bit (only get rid of one row), some colors in legend become black. Like here:
plot_ly(dane[-1, ], y = ~variable, x = ~value, color = ~visit_source, text = ~paste0(value, "%"),
type = "bar", hoverinfo = "text+name", marker = list(line = list(color = "white", width = 2))) %>%
layout(barmode = "stack",
legend = list(orientation = "h"),
xaxis = list(ticksuffix = "%"),
yaxis = list(title = ""))
When I have all levels
of visit_source
for each year
with value
equal 0
, then it works, but also appear in hover
, which I do not like.
Do you know what is the problem here? Thanks for any help!
My data:
structure(list(visit_source = structure(c(1L, 2L, 3L, 4L, 1L,
2L, 3L, 4L), .Label = c("organic", "social", "hp", "branded"), class = "factor"),
variable = c("2016", "2016", "2016", "2016", "2015", "2015",
"2015", "2015"), value = c(32, 20, 24, 24, 25, 25, 25, 25
)), class = "data.frame", .Names = c("visit_source", "variable",
"value"), row.names = c(NA, -8L)) -> dane
dane[c(-1, -5), ]
yields an OK result (missing one level). If you make a ggplot and useggplotly
, it will produce an OK result. – Roman Luštrik