Problem with merging my data with the map and visualise the maximum.

incidents_per_suburb <- q6 %>%
group_by(Suburb) %>%
summarise(total_incidents = sum(Count)) %>%
arrange(desc(total_incidents))

merged_data <- cross_join(incidents_per_suburb, map)

suburb_most_incidents <- merged_data[which.max(merged_data$total_incidents), "Suburb"]

head(merged_data)

suburb_most_incidents <- merged_data[which.max(merged_data$total_incidents), "Suburb"]

Map1 <- ggplot(merged_data, aes(x= long, y= lat, group==group)) +
geom_polygon(aes(fill = "#69b3a2", color = "white")) +
geom_text(data = merged_data, aes(label = ifelse(Suburb == suburb_most_incidents, Suburb, "")),
size = 3, color = "black", check_overlap = TRUE) +
theme_void() +
coord_map() +
labs(title = "Incidents per Suburb")

Map1

Hi, it is difficult to work out what is going on without a reproducible example - difficult for spatial data too, though you could create an aspatial example. Does suburb_most_incidents look like what you're after? You could probably add that to merged_data with an if_else() and avoid the at whole section.

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