我正在尝试创建一个柱形图,该柱形图的变量“ Hall”代表其月份的总计。我在代码方面获得了一些帮助,但我运行了它,将所有大厅彼此叠放在一起,形成了堆积的柱状图,而不是躲避。有什么想法吗?
这就是我尝试过的。
library(tidyverse)
fall2 <- structure(list(Hall = c("1959E", "1959E", "1959E", "1959E", "1959E",
"2109 F", "2109 F", "2109 F", "2109 F", "2109 F"), Month = c("August",
"December", "November", "October", "September", "August", "December",
"November", "October", "September"), total = c(2, 4, 5, 11, 8,
1, 3, 8, 7, 4)), row.names = c(NA, -10L), class = c("grouped_df",
"tbl_df", "tbl", "data.frame"), vars = "Hall", drop = TRUE, indices = list(
0:4, 5:9), group_sizes = c(5L, 5L), biggest_group_size = 5L, labels =
structure(list(Hall = c("1959E", "2109 F")), row.names = c(NA, -2L),
class = "data.frame", vars = "Hall", drop = TRUE))
fall2$Month <- fall2$Month %>%
fct_relevel("August", "September", "October", "November", "December")
fall2 <- fall2 %>%
arrange(Month, -total) %>%
mutate(order = row_number())
#something like this?
ggplot(fall2, aes(order, total)) +
geom_col(aes(fill = total), position = "dodge") +
guides(fill=FALSE) +
ggtitle("Fall Events by Hall") +
facet_wrap(~Month, nrow = 1, scales = "free_x") +
scale_x_continuous(breaks = fall2$order, labels = fall2$Hall,expand = c(0,0))
我希望每个月看起来像两个大厅,而不是堆放。我觉得这应该是一个小错误。
答案 0 :(得分:1)
ggplot
需要分类变量才能躲避。在这里,我在group = Hall
上添加了aes
,以使其按照霍尔值躲避:
ggplot(fall2, aes(order, total)) +
geom_col(aes(fill = total, group = Hall), position = "dodge") +
guides(fill=FALSE) +
ggtitle("Fall Events by Hall") +
facet_wrap(~Month, nrow = 1, scales = "free_x") +
scale_x_continuous(breaks = fall2$order, labels = fall2$Hall,expand = c(0,0))
如您所见,我们仍然在x轴上出现重叠的标签。您的代码说breaks = fall2$order, labels = fall2$Hall
,将x轴标签设置为唯一的order
值,并使用各自的Hall
值对其进行标签。查看您的数据:
fall2
# A tibble: 10 x 4
# Groups: Hall [2]
Hall Month total order
<chr> <fct> <dbl> <int>
1 1959E August 2 1
2 2109 F August 1 1
3 1959E September 8 2
4 2109 F September 4 2
...
我们可以看到每个order
值都有多个Hall
值,因此ggplot
确实在执行您要执行的操作。在order = 1
,我们得到相应的Hall
标签:"1959E"
和2109 F
(第1行和第2行)。
我不太确定您为什么要使用order
……似乎毫无意义。如果我们改为将Hall
放在x轴上(并进行其他一些相关更改,则不再需要group
,也不需要指定标签,也不需要position "dodge"
。但是我们需要{{1 }},而不是discrete
x比例尺),事情变得更简单,看起来更好。
continuous