[英]Multiple columns on x-axis stacked bar charts
I'm beginner in R programming, exploring ggplot. 我是R编程的初学者,正在研究ggplot。 I'm trying to plot stacked bar chart to show 3 years quarterly revenue for multiple countries.
我正在尝试绘制堆积条形图,以显示多个国家/地区3年的季度收入。 I'm using data from https://www.ibm.com/communities/analytics/watson-analytics-blog/sales-products-sample-data/
我正在使用https://www.ibm.com/communities/analytics/watson-analytics-blog/sales-products-sample-data/中的数据
mydata <- read.csv("~/Downloads/WA_Sales_Products_2012-14.csv")
library(dplyr)
qtrSales <- mydata %>%
group_by(mydata$Retailer.country, mydata$Year, mydata$Quarter) %>%
summarize(Rev=sum(Revenue)) %>%
qtrSales <- data.frame(qtrSales)
colnames(qtrSales) <- c("Country", "Year", "Qtr", "Revenue")
library(ggplot2)
ggplot() + geom_bar(aes(y=qtrSales$Revenue, x = qtrSales$Year,
fill=qtrSales$Qtr), data=qtrSales, stat="identity")
above ggplot is giving me 上面的ggplot给了我
what I want is to have 3 bars for each year grouped together for each country.
我想要的是每个国家每年有3个酒吧。 Can anyone advise how to achieve it?
谁能建议如何实现它?
Here I put Quarter
instead of Year
on x-axis, otherwise you would need to use facets. 在这里,我在X轴上放置了
Quarter
而不是Year
,否则您将需要使用构面。
colnames(mydata)[1] <- "Country"
library(ggplot2)
ggplot(mydata, aes(Quarter, Revenue, fill = Country)) +
geom_bar(stat = "identity", position = "dodge") +
scale_x_discrete(limits = unique(mydata$Quarter)) +
theme(legend.position = "bottom") +
guides(fill = guide_legend(nrow = 2))
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