R工作室条形图
我有以下数据框:
structure(list(share.beer = c(0.277, 0.1376, 0.1194, 0.0769,
0.0539, 0.0361, 0.0361, 0.0351, 0.0313, 0.03, 0.0119, 0.0084,
0.007, 0.0069), country = c("Brazil", "China, mainland", "United States",
"Thailand", "Vietnam", "China, mainland", "China, mainland",
"China, mainland", "China, mainland", "Argentina", "Indonesia",
"China, mainland", "China, mainland", "India"), Beer = c("soyb",
"maiz", "soyb", "cass", "cass", "whea", "rape", "soyb", "rice",
"soyb", "cass", "cott", "swpo", "rape")), class = c("tbl_df",
"tbl", "data.frame"), row.names = c(NA, -14L))
我想创建一个条形图,以便啤酒类型出现在图例中,国家/地区作为 y 值,而 share.beer 是我要填充的值。
我尝试了各种方法,包括下面的代码,但我无法得到我想要的结果。例如,在这里,我保留了变量“啤酒””
df %>%
pivot_longer(cols = -Country, values_to = "Count", names_to = "Type") %>%
ggplot() +
geom_col(aes(x = reorder(Country, -Count), y = Count, fill = Beer))
但是,我收到错误
无法将
分享啤酒
和啤酒
结合使用。
有什么帮助吗?
I have the following dataframe:
structure(list(share.beer = c(0.277, 0.1376, 0.1194, 0.0769,
0.0539, 0.0361, 0.0361, 0.0351, 0.0313, 0.03, 0.0119, 0.0084,
0.007, 0.0069), country = c("Brazil", "China, mainland", "United States",
"Thailand", "Vietnam", "China, mainland", "China, mainland",
"China, mainland", "China, mainland", "Argentina", "Indonesia",
"China, mainland", "China, mainland", "India"), Beer = c("soyb",
"maiz", "soyb", "cass", "cass", "whea", "rape", "soyb", "rice",
"soyb", "cass", "cott", "swpo", "rape")), class = c("tbl_df",
"tbl", "data.frame"), row.names = c(NA, -14L))
I want to create a barplot so that the beer type appears in the legend, the countries as y values while the share.beer are my values to be filled.
I have tried in various ways, including the following code, but I can't get the result I would like to. Here, for instance, I kept the variable "Beer""
df %>%
pivot_longer(cols = -Country, values_to = "Count", names_to = "Type") %>%
ggplot() +
geom_col(aes(x = reorder(Country, -Count), y = Count, fill = Beer))
However, I get an error
Can't combine
share beer
andBeer
.
Any help?
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实际上,您不需要
pivot_longer
来创建合适的数据框。您可以使用以下代码:输出:
You actually don't need the
pivot_longer
to create a suitable dataframe. You can use the following code:Output: