ggmap with value showing on the countries - r

Question

I am looking for some help with the given sample data of countries on one column and count on another column. I am trying a build a geo maps using ggplot showing the count and name of the country in the respective places of the map when I hover above the country. Below is the sample data given. I tried with the ggmap with the lat and long position to identify the country but not able to show the count and name of the country on hovering.
structure(list(Countries = c("USA", "India", "Europe", "LATAM",
"Singapore", "Phillipines", "Australia", "EMEA", "Malaysia",
"Hongkong", "Philippines", "Thailand", "New Zealand"
), count = c(143002, 80316, 33513, 3736, 2180, 1905, 1816, 921,
707, 631, 207, 72, 49)), .Names = c("Countries", "count"), row.names = c(NA,
13L), class = "data.frame")
I tried the below code.
countries = geocode(Countryprofile$Countries)
Countryprofile = cbind(Countryprofile,countries)
mapWorld <- borders("world", colour="grey", fill="lightblue")
q<-ggplot(data = Countryprofile) + mapWorld + geom_point(aes(x=lon, y=lat) ,color="red", size=3)+
geom_text(data = Countryprofile,aes(x=lon,y=lat,label=Countries))
ggplotly(q)

Answer 1

You can change any attribute in the result from ggplotly. In this case you can set the text attribute of the 2nd trace (where you markers are defined).
plotly_map <- ggplotly(q)
plotly_map$x$data[[2]]$text <- paste(Countryprofile$Countries,
Countryprofile$count,
sep='<br />')
plotly_map
library(plotly)
library(ggmap)
Countryprofile <- structure(list(Countries = c("USA", "India", "Europe", "LATAM",
"Singapore", "Phillipines", "Australia", "EMEA", "Malaysia",
"Hongkong", "Philippines", "Thailand", "New Zealand"
), count = c(143002, 80316, 33513, 3736, 2180, 1905, 1816, 921,
707, 631, 207, 72, 49)), .Names = c("Countries", "count"), row.names = c(NA,
13L), class = "data.frame")
countries = geocode(Countryprofile$Countries)
Countryprofile = cbind(Countryprofile,countries)
mapWorld <- borders("world", colour="grey", fill="lightblue")
q<-ggplot(data = Countryprofile) + mapWorld + geom_point(aes(x=lon, y=lat) ,color="red", size=3)+
geom_text(data = Countryprofile,aes(x=lon,y=lat,label=Countries))
plotly_map <- ggplotly(q)
plotly_map$x$data[[2]]$text <- paste(Countryprofile$Countries, Countryprofile$count, sep='<br />')
plotly_map