ggplot2 - R barplot of two categorical variables -

i have dataframe, interested in relationship between 2 categorical variables type , location, type has 5 levels , location has 20 levels.

i want plot percentage of types each location. wanted know if there concise way of doing using ggplot2 ?

in case variable in x axis has 20 levels running spacing issues, appreciated

edit: more concrete example:

df    gender beverage 1  female     coke 2    male     bear 3    male     coke 4  female     bear 5    male      tea 6    male     bear 7  female    water 8  female      tea 9  female     bear 10   male      tea 

i want plot gender wise percentage of each beverage, eg: there 3 tea drinkers of 2 male , 1 female male % 66.67 , female percentage 33.33 in x axis corresponding tea there should 2 bars male y = 66.67 , female y = 33.33.

the easiest way pre-process, since have calculate percentages separately gender. use complete make sure have 0 percent bars explicitly in data.frame, otherwise ggplot ignore bar , widen other gender's bar.

library(dplyr) library(tidyr) df2 <- df %>%    group_by(gender, beverage) %>%    tally() %>%    complete(beverage, fill = list(n = 0)) %>%    mutate(percentage = n / sum(n) * 100)  ggplot(df2, aes(beverage, percentage, fill = gender)) +    geom_bar(stat = 'identity', position = 'dodge') +   theme_bw() 

or other way around:

df3 <- df %>%    group_by(beverage, gender) %>%    tally() %>%    complete(gender, fill = list(n = 0)) %>%    mutate(percentage = n / sum(n) * 100)  ggplot(df3, aes(beverage, percentage, fill = gender)) +    geom_bar(stat = 'identity', position = 'dodge') +   theme_bw()