R ggplot2: stat_count() must not be used with a y aesthetic error in Bar graph

when you want to use your data existing in your data frame as y value, you must add stat = "identity" in mapping parameter. Function geom_bar have default y value. For example,

ggplot(data_country)+
  geom_bar(mapping = aes(x = country, y = conversion_rate), stat = "identity")

First off, your code is a bit off. aes() is an argument in ggplot(), you don't use ggplot(...) + aes(...) + layers

Second, from the help file ?geom_bar:

By default, geom_bar uses stat="count" which makes the height of the bar proportion to the number of cases in each group (or if the weight aethetic is supplied, the sum of the weights). If you want the heights of the bars to represent values in the data, use stat="identity" and map a variable to the y aesthetic.

You want the second case, where the height of the bar is equal to the conversion_rate So what you want is...

data_country <- data.frame(country = c("China", "Germany", "UK", "US"), 
            conversion_rate = c(0.001331558,0.062428188, 0.052612025, 0.037800687))
ggplot(data_country, aes(x=country,y = conversion_rate)) +geom_bar(stat = "identity")

Result: