我有这个data.table有3列。第一个是关于MonthlySalesMean,第二个是年份,然后是月份。
> data[,MonthlySalesMean:=mean(StoreMean),by=c("DateMonth","DateYear")][,c("MonthlySalesMean","DateYear","DateMonth")]
MonthlySalesMean DateYear DateMonth
1: 6839.340 2015 7
2: 6839.340 2015 7
3: 6839.340 2015 7
4: 6839.340 2015 7
5: 6839.340 2015 7
---
641938: 6852.171 2013 1
641939: 6852.171 2013 1
641940: 6852.171 2013 1
641941: 6852.171 2013 1
641942: 6852.171 2013 1
我需要绘制三行图,因为我有3年:
> unique(data[,DateYear])
[1] 2015 2014 2013
>
对于每年或每一行,应在一年中的所有月份绘制MonthlySalesMean值。换句话说,它应该像这个图:
我该怎么办呢?谢谢你提前!
如果没有可重复的示例,我无法测试您的数据,但这是一个想法。您绘制一条路径,销售美学(y)与月份(x)按年份(颜色)分组
library(tidyverse)
example_data <- tibble(
MonthlySalesMean = rnorm(36, 100, 20),
DateYear = c(rep(2013, 12), rep(2014, 12), rep(2015, 12)),
DateMonth = c(1:12, 1:12, 1:12)
)
ggplot(example_data, aes(x = DateMonth, y = MonthlySalesMean, color = as.factor(DateYear))) +
geom_path() +
geom_point(size = 2) +
geom_text(aes(label = DateYear),
data = filter(example_data, DateMonth == 1),
nudge_x = -0.5) + # plot year numbers
scale_x_continuous(breaks = 1:12, labels = month.abb) +
scale_colour_manual(guide = FALSE, # hides legend
values = c("red", "green", "blue")) + # custom colors
expand_limits(x = 0.5) + # adds a space before January
labs(x = "Month", y = "Sales") +
theme_bw() +
theme(panel.grid = element_blank()) # removes gridlines