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Geom_map(map =, color = 'white')+Д®xpand_limits(x = $long, y = $lat)+Д¬oursera - Online Courses and Specialization Data science Ggplot(, aes(map_id = region, fill = lifeExp))+ Geom_polygon(aes(fill = lifeExp ), color = 'white')+ Note that, data are missing for some region in the map below: <- left_join(life.exp, world_map, by = 'region') Region = ifelse(region = 'United States of America', 'USA', region) # Replace 'United States of America' by USA in the region column Rename(region = country, lifeExp = value) %>% # Rename columns Select(country, value) %>% # Select the two columns of interest

Retrieve life expectancy data and prepare the data:ДЇilter(year = 2015 & sex = 'Both sexes') %>% # Keep data for 2015 and for both sex.

The data is retrieved from the WHO (World Health Organozation) data base using the WHO R package. Here, weвЂ™ll create world map colored according to the value of life expectancy at birth in 2015.

Create a custom map theme