在刻面渐变条形图顶部添加文本 [英] Add text on top of a faceted dodged bar chart
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问题描述
我想绘制两个不同年份的躲避条形图,并相应地将收入数字放在条形图的顶部。在尝试了我在这里找到的一些建议后,我仍然无法得到我想要的(所有数字都显示在中间条/栏的中间,而不是平均分布)。任何建议都将不胜感激。谢谢!
我最近一次尝试
# Disable scientific notation
options("scipen" = 100, "digits" = 1)
censusData <- structure(list(Year = c(2012L, 2007L, 2012L, 2007L, 2012L, 2007L,
2012L, 2007L, 2012L, 2007L, 2012L, 2007L, 2012L, 2007L, 2012L,
2007L, 2012L, 2007L, 2012L, 2007L, 2012L, 2007L, 2012L, 2007L
),
County = c("A", "A", "B", "B", "C", "C", "Sum", "Sum", "A",
"A", "B", "B", "C", "C", "Sum", "Sum", "A", "A", "B", "B", "C",
"C", "Sum", "Sum"),
variable = structure(c(1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L), .Label = c("Total_Revenue", "Crop_Revenue", "Livestock_Revenue"
), class = "factor"),
value = c(1645.51, 1203.806, 68.911, 60.949,
923.163, 525.918, 2637.584, 1790.673, 1069.497, 787.459, 47.157,
38.735, 825.050228, 470.024, 1941.704228, 1296.218, 576.013,
416.347, 21.754, 22.214, 98.112772, 55.894, 695.879772, 494.455)),
row.names = c(NA, -24L),
.Names = c("Year", "County", "variable", "value"),
class = "data.frame")
# Dodged barplot
qbarplot_yr_1 <- ggplot(censusData, aes(County, value)) +
facet_grid(. ~ Year) +
geom_bar(aes(fill = variable), position = "dodge", stat = "identity") +
xlab("County") +
ylab("Revenue (Million USD)") +
scale_fill_discrete(name = 'Legend', labels = c("Total", "Crop", "Livestocks")) +
theme(axis.ticks.x = element_blank()) +
theme(panel.background = element_rect(colour = 'dark grey')) +
theme(strip.text.x = element_text(size = 20, face = "bold"),
strip.background = element_rect(colour = "dark grey"))
# Add text on top of the bar
qbarplot_yr_1 +
geom_text(data = censusData,
aes(x = County, y = value + 150, label = format(value, nsmall = 0, scientific = FALSE)),
color = "blue")
推荐答案
您还需要避开文本值。尝试
qbarplot_yr_1 + geom_text(data = censusData,
aes(x = County, group=variable, y = value + 150,
label = format(value, nsmall = 0, digits=1, scientific = FALSE)),
color="blue", position=position_dodge(.9), hjust=.5)
我们还需要group=
,以便它知道要回避哪些值。
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