India has been affected badly by the coronavirus pandemic, with the total number of cases reaching 2027074 and ranks third worldwide in the category of total cases. Here is the map of states most affected by the coronavirus with the total number of cases.
library(leaflet)
md_cities <- data.frame(pop = c(479779, 279144, 196789, 158254, 141531,108974, 86754,75257, 67788, 67699),
lat= c(19.233659, 11.260146, 15.437523, 13.961787, 28.662344,26.904601,22.756665,17.570201,25.412803,23.225958),
lon = c(75.406550,78.414579,79.210745,75.840638,77.182486,80.655496,87.858867,78.962697,85.422715,71.866475))
places <- c("Maharashtra: 479779","Tamil Nadu: 279144","Andhra Pradesh: 196789","Karnataka: 158254","Delhi: 141531", "Uttar Pradesh: 108974","West Bengal: 86754","Telangana: 75257","Bihar: 67788","Gujarat: 67699")
md_cities %>%
leaflet() %>%
addTiles() %>%
addCircles(weight = 1, radius = sqrt(md_cities$pop) * 300,popup = places)Statistics dated 7th August 2020,courtesy: https://www.oneindia.com/coronavirus-affected-cities-districts-in-india.html