Reputation: 27
I have 16000 ish missing persons data that I am trying to order by Count and then plot on a graph. this is the code i am using. I am wanting to plot only the top ten.
mp.city <-mp.All %>%
group_by(State, City, Sex) %>%
summarise(Count = n())
mp.city %>%
arrange(desc(Count)) %>%
slice(1:10) %>%
ggplot(aes(y = City)) +
geom_bar()
the code will run but the plot is garbage. Any help would be amazing thank you!
Upvotes: 0
Views: 184
Reputation: 9495
I think you can manage it con head()
:
url<-'https://raw.githubusercontent.com/kitapplegate/fall2020/master/mpAll.csv'
mp.All<-read.csv(url)
library(ggplot2)
library(dplyr)
mp.city <-mp.All %>%
group_by(State, City, Sex) %>%
summarise(Count = n())
mp.city %>%
# sort
arrange(desc(Count)) %>%
# top 10 overall
head(10) %>%
# plot ordered
ggplot(aes(x = reorder(City,Count), y = Count))+
geom_bar( stat = "identity") +
# flipped
coord_flip() +
# label for x axis (flipped)
xlab("City")
P.S.
Next time try to share your data with dput(head(yourdata))
and posting the result, it's way better.
Upvotes: 1