Styjun

I am trying to plot and use ggplotly for mouseover in geom_point objects.
Here is my reproducible R script:

require(ggplot2)
library(ggrepel)
library(plotly)
# Create the data frame.
sales_data <- data.frame(
 emp_name = rep(c("Sam", "Dave", "John", "Harry", "Clark", "Kent", "Kenneth", "Richard", "Clement", "Toby", "Jonathan"), times = 2), 
 month = as.factor(rep(c("Jan", "Feb", "Mar", "Jan", "Feb", "Mar", "Jan", "Feb", "Mar", "Jan", "Jan"), times = 2)),
 dept_name = as.factor(rep(c("Production", "Services", "Support", "Support", "Services", "Production", "Production", "Support", "Support", "Support", "Production"), times = 2)), 
 revenue = rep(c(100, 200, 300, 400, 500, 600, 500, 400, 300, 200, 500), times = 2),
 status = rep(c("Low", "Medium", "Medium", "High", "Very High", "Very High", "Very High", "High", "Medium", "Medium", "Low"), times = 2)
)

sales_data$month <- factor(sales_data$month, levels = c("Jan", "Feb", "Mar"))
month_vector <- levels(sales_data$month)
number_of_enteries <- nrow(sales_data)

sales_data$status <- factor(sales_data$status, levels = c("Low", "Medium", "High", "Very High"))
sales_data$month <- as.integer(sales_data$month)

myChart <- ggplot(sales_data, aes(x = month, y = dept_name)) +
 geom_raster(data = expand.grid(sales_data$month, sales_data$dept_name),
 aes(x = Var1, y = Var2, width=1, height=1), fill = NA, col = 'gray50', lty = 1) + #default width and height is 1
 geom_point(aes(size = status, colour = cut(revenue, c(-Inf, 199, 301, Inf)) ), 
 shape = 16, position = position_jitter(seed = 0), show.legend = F) +
 scale_color_manual(name = "revenue", 
 values = c("(-Inf,199]" = "red",
 "(199,301]" = "#ffbf00", #amber
 "(301, Inf]" = "green") ) +
 geom_text(aes(label = revenue), size=4, vjust = 1.6, position = position_jitter(seed = 0)) + #try with geom_text

 theme_bw() +
 theme(
 axis.title = element_blank(),
 axis.ticks = element_blank(),
 plot.background = element_blank(), 
 axis.line = element_blank(), 
 panel.border = element_blank(), 
 panel.grid = element_blank(),

 axis.text = element_text(colour = "blue", face = "plain", size =11)
 ) +

 scale_x_continuous(limits=c(0.5,3.5), expand = c(0,0), breaks = 1:length(month_vector), labels = month_vector) +

 scale_y_discrete(expand = c(0,0)) +

 geom_hline(yintercept = as.numeric(sales_data$dept_name) + 0.5) +
 geom_vline(xintercept = as.numeric(sales_data$month) - 0.5, color = "grey")

#ggplotly(myChart)
myChart

It gives me error:

Error in [.data.frame(g, , c("fill_plotlyDomain", "fill")) :

undefined columns selected

It plots correctly if I comment ggplotly(myChart) and uncomment myChart
Here is output chart:

Any suggestion or help, how I can see revenue data and few other details in tooltip on mouseover ?

Thanks in Advance!

There is ggiraph (https://davidgohel.github.io/ggiraph/articles/offcran/using_ggiraph.html) but since I do not know what you desire to show when mousing over, I can only provide a incomplete version:

myChart <- ggplot(sales_data, aes(x = month, y = dept_name)) +
 geom_raster(data = expand.grid(sales_data$month, sales_data$dept_name),
 aes(x = Var1, y = Var2, width=1, height=1), fill = NA, col = 'gray50', lty = 1) + #default width and height is 1
 geom_point_interactive(aes(tooltip = status, data_id = status, colour = cut(revenue, c(-Inf, 199, 301, Inf)) ), 
 shape = 16, position = position_jitter(seed = 0), show.legend = F) +
 scale_color_manual(name = "revenue", 
 values = c("(-Inf,199]" = "red",
 "(199,301]" = "#ffbf00", #amber
 "(301, Inf]" = "green") ) +
 geom_text(aes(label = revenue), size=4, vjust = 1.6, position = position_jitter(seed = 0)) + #try with geom_text

 theme_bw() +
 theme(
 axis.title = element_blank(),
 axis.ticks = element_blank(),
 plot.background = element_blank(), 
 axis.line = element_blank(), 
 panel.border = element_blank(), 
 panel.grid = element_blank(),

 axis.text = element_text(colour = "blue", face = "plain", size =11)
 ) +

 scale_x_continuous(limits=c(0.5,3.5), expand = c(0,0), breaks = 1:length(month_vector), labels = month_vector) +

 scale_y_discrete(expand = c(0,0)) +

 geom_hline(yintercept = as.numeric(sales_data$dept_name) + 0.5) +
 geom_vline(xintercept = as.numeric(sales_data$month) - 0.5, color = "grey")
library(ggiraph)
ggiraph(myChart2)
girafe(code = print(myChart) )