The example at hand shows how quickly and neatly maps can be created with Leaflet in R.

library(leaflet) ## loading the package

I created a file that contains longitudes, latitudes and popup text for some of the major cities I have visited.

# load the file and convert to numeric
citiestravel <-read.table("C:/users/johan/Documents/travel.txt", header = TRUE)
citiestravel$long <- as.numeric(paste(citiestravel$long)) 
citiestravel$lat <- as.numeric(paste(citiestravel$lat)) 

# check the file before mapping
str(citiestravel)
## 'data.frame':    32 obs. of  3 variables:
##  $ long : num  16.4 11.6 13.4 -74 -80.2 ...
##  $ lat  : num  48.2 48.1 52.5 40.7 25.8 ...
##  $ label: Factor w/ 31 levels "amazingly beautiful â<U+0080>¦ unfortunately never in summer and 'just' for business",..: 24 24 23 16 17 7 14 2 22 5 ...
head(citiestravel)
##        long       lat                                label
## 1  16.37382  48.20817 various times (business and leisure)
## 2  11.58198  48.13513 various times (business and leisure)
## 3  13.40495  52.52001       unfortunately only once (yet!)
## 4 -74.00594  40.71278                leaves you speechless
## 5 -80.19179  25.76168                             loved it
## 6 151.20930 -33.86882           could imagine living there

We finally draw the map. I decided not to use the label as I found it “overdone” (maps show the names of places). People should get curious and zoom in :-)

leaflet(data = citiestravel) %>% addTiles() %>%                      
    addCircleMarkers(citiestravel$long, citiestravel$lat, popup = ~as.character(citiestravel$label), color = "#e6550d")