ggplot分组条形图 [英] ggplot grouped bar chart
问题描述
我有以下数据集:
年份生成的拒绝
1 2012 133118208 7256986
2 2013 289487598 49652610
3 2014 192232775 31765480
4 2015 40434968 2513930
我在尝试生成一个分组的条形图,该分组的条形图将在x轴上具有年
并且在y轴上具有数字刻度以显示每年被拒绝的生成的Vs。
我很困惑我应该怎样设定我的y轴?我还没有尝试过使用 spread()
函数,因为我希望可能有一个更简单的方法
首先,您必须按正确的格式安排数据以进行绘图:
library(重新塑形2)
df1 < - melt(df,id =Year)
你可以使用 tidyr
包:
library(tidyr)
df1 < - gather(df,variable,value,-Year)
这可能更容易如果你不熟悉 melt()
基本上它说:收集所有 df
中除年
之外的变量,调用新的键列变量
和新值列值
library(ggplot2)
ggplot(df1,aes(Year,value))+
geom_bar(aes(fill = variable),position =dodge,stat =identity)
如果您更喜欢使用逗号分隔数千个数字:
library(ggplot2)
library(scales)
ggplot(df1,aes(Year,value))+
geom_bar(aes(fill = variable),position =dodge,stat =identity)+
scale_y_continuous(name = 值,标签=逗号)
I have the following dataset:
Year Generated Rejected
1 2012 133118208 7256986
2 2013 289487598 49652610
3 2014 192232775 31765480
4 2015 40434968 2513930
I am trying to generate a grouped bar chart that will have Year
on the x axis and a numerical scale on the y axis to show the generated Vs rejected year-wise.
I am confused what I should set my y axis to? I have not tried using the spread()
function yet, as I am hoping there might be an easier way
First you have to arrange the data in the proper format for plotting:
library(reshape2)
df1 <- melt(df, id = "Year")
Or you could use the tidyr
package:
library(tidyr)
df1 <- gather(df, variable, value, -Year)
Which may be easier to understand if you are not familiar with melt()
Basically, it says: "Gather all the variables in df
except Year
, calling the new key column variable
and the new value column value
"
library(ggplot2)
ggplot(df1, aes(Year, value)) +
geom_bar(aes(fill = variable), position = "dodge", stat = "identity")
If you prefer to format numbers with commas separating thousands:
library(ggplot2)
library(scales)
ggplot(df1, aes(Year, value)) +
geom_bar(aes(fill = variable), position = "dodge", stat = "identity") +
scale_y_continuous(name = "Values", labels = comma)
这篇关于ggplot分组条形图的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!