R - ggplot2 geom_bar() doesn't plot correctly column's values

Question

I am new to R

I would like plot using ggplot2's geom_bar():

top_r_cuisine <- r_cuisine %>%
   group_by(Rcuisine) %>%
   summarise(count = n()) %>%
   arrange(desc(count)) %>%
   top_n(10)

But when I try to plot this result by:

ggplot(top_r_cuisine, aes(x = Rcuisine)) +
       geom_bar()

I get this: which doesn't represent the values in top_r_cuisine. Why?

EDIT: I have tried:

you need to tell it what y is: ggplot(top_r_cuisine, aes(x = Rcuisine, y = count)) + geom_bar(stat = "identity") — SymbolixAU
– SymbolixAU, Commented Oct 10, 2017 at 22:00
also, a screenshot of data isn't useful, it would be better to use dput(top_r_cuisine) and paste the output of that into your question. — SymbolixAU
– SymbolixAU, Commented Oct 10, 2017 at 22:02
@SymbolixAU I have tried with aes(x = Rcuisine, y = count) but I get the same result. — Simone
– Simone, Commented Oct 10, 2017 at 22:05
try geom_col instead of geom_bar or like @SymbolixAU suggested geom_bar(stat = "identity") — missuse
– missuse, Commented Oct 10, 2017 at 22:21

Dinesh Kumar · Accepted Answer · 2017-10-10 22:26:54Z

2

c_count=c(23,45,67,43,54)
country=c("america","india","germany","france","italy")
# sample Data frame #
finaldata = data.frame(country,c_count)
ggplot(finaldata, aes(x=country)) +
geom_bar(aes(weight = c_count))

you need to assign the weights in the geom_bar()

answered Oct 10, 2017 at 22:26

Dinesh Kumar

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