Data with High Values

[fabioand2k]

Hello,

if i try to run ggplotly with large values (even with low number of observations)

when run, crash my machine. (i tried with another machine, and same problem)

code below:

library(ggplot2)
library(plotly)

employee <- c('John Doe','Peter Gynn','Jolie Hope')
salary <- c(210000000, 234000000, 268000000)

employ.data <- data.frame(employee, salary)

p <- ggplot(employ.data ,aes(x=employee, y=salary)) +
geom_bar(stat='identity', color="black") +
scale_y_continuous(labels = function(x) format(x, big.mark = '.', decimal.mark = ',', scientific = FALSE))
ggplotly(p)

thanks

[cpsievert]

We don't (yet) support specifying labels with a function. Closing since this is a duplicate of #185

[fabioand2k]

Hi Carlson,

the problem is not scale, sorry

the problem is big number.

library(ggplot2)
library(plotly)

employee <- c('John Doe','Peter Gynn','Jolie Hope')
salary <- c(210000000, 234000000, 268000000)

employ.data <- data.frame(employee, salary)

p <- ggplot(employ.data ,aes(x=employee, y=salary)) +
geom_bar(stat='identity', color="black")
ggplotly(p)

if you run this dataframe with
salary <- c(210, 234, 268) = run instantly
and if you run with
salary <- c(210000000, 234000000, 268000000) = crash machine by high memory

the problem is when you use "big numbers"
thanks