我的目的是绘制条形图,并显示变量:
"HH_FIN_EX", "ACT_IND_CON_EXP"
但按变量diff
按升序排序。 diff
本身不应包含在图表
library(eurostat)
library(tidyverse)
#getting the data
data1 <- get_eurostat("nama_10_gdp",time_format = "num")
#filtering
data_1_4 <- data1 %>%
filter(time=="2016",
na_item %in% c("B1GQ", "P31_S14_S15", "P41"),
geo %in% c("BE","BG","CZ","DK","DE","EE","IE","EL","ES","FR","HR","IT","CY","LV","LT","LU","HU","MT","NL","AT","PL","PT","RO","SI","SK","FI","SE","UK"),
unit=="CP_MEUR")%>% select(-unit, -time)
#transformations and calculations
data_1_4 <- data_1_4 %>%
spread(na_item, values)%>%
na.omit() %>%
mutate(HH_FIN_EX = P31_S14_S15/B1GQ, ACT_IND_CON_EXP=P41/B1GQ, diff=ACT_IND_CON_EXP-HH_FIN_EX) %>%
gather(na_item, values, 2:7)%>%
filter(na_item %in% c("HH_FIN_EX", "ACT_IND_CON_EXP", "diff"))
#plotting
ggplot(data=data_1_4, aes(x=reorder(geo, values), y=values, fill=na_item))+
geom_bar(stat="identity", position=position_dodge(), colour="black")+
labs(title="", x="Countries", y="As percentage of GDP")
我感谢任何有关如何执行此操作的建议,因为aes(x=reorder(geo, values[values=="diff"])
会导致错误。
答案 0 :(得分:2)
首先,在使用diff
时,您不应该包含gather
(您的结果列),这会让事情变得复杂。
将第gather(na_item, values, 2:7)
行更改为gather(na_item, values, 2:6)
。
您可以使用此代码按降序计算差异和顺序(使用dplyr::arange
)行:
plotData <- data_1_4 %>%
spread(na_item, values) %>%
na.omit() %>%
mutate(HH_FIN_EX = P31_S14_S15 / B1GQ,
ACT_IND_CON_EXP = P41 / B1GQ,
diff = ACT_IND_CON_EXP - HH_FIN_EX) %>%
gather(na_item, values, 2:6) %>%
filter(na_item %in% c("HH_FIN_EX", "ACT_IND_CON_EXP")) %>%
arrange(desc(diff))
用以下方式绘制:
ggplot(plotData, aes(geo, values, fill = na_item))+
geom_bar(stat = "identity", position = "dodge", color = "black") +
labs(x = "Countries",
y = "As percentage of GDP") +
scale_x_discrete(limits = plotData$geo)
答案 1 :(得分:0)
您可以明确地找出所需的顺序 - 它存储在下面的country_order
中 - 并强制因子geo
按此顺序获得其级别。然后在过滤掉ggplot
变量后运行diff
。因此,请使用以下内容替换您对ggplot
的来电:
country_order = (data_1_4 %>% filter(na_item == 'diff') %>% arrange(values))$geo
data_1_4$geo = factor(data_1_4$geo, country_order)
ggplot(data=filter(data_1_4, na_item != 'diff'), aes(x=geo, y=values, fill=na_item))+
geom_bar(stat="identity", position=position_dodge(), colour="black")+
labs(title="", x="Countries", y="As percentage of GDP")
这样做,我得到以下情节:
答案 2 :(得分:-1)
这就是你要找的东西吗?
data_1_4 %>% mutate(Val = fct_reorder(geo, values, .desc = TRUE)) %>%
filter(na_item %in% c("HH_FIN_EX", "ACT_IND_CON_EXP")) %>%
ggplot(aes(x=Val, y=values, fill=na_item)) +
geom_bar(stat="identity", position=position_dodge(), colour="black") +
labs(title="", x="Countries", y="As percentage of GDP")