R ggplot2条形图
R ggplot2 bar plot
我已经将一些代码链接在一起来创建我当前的图表。我唯一的问题是我在 x 轴上的标签被打印在彼此之上。有谁知道解决方案?另外,有没有一种方法可以将我的 x 轴标签从大到小组织起来?谢谢。
这是我正在使用的数据集:
structure(list(Resort = c("Park City", "Powder Mountain", "Snowbird",
"Alta", "Snow Basin", "Deer Valley"), `Named Runs` = c(348, 154, 140, 116, 107, 103)),
row.names = c(NA, -6L), class = c("tbl_df", "tbl", "data.frame"))
这是我的代码:
library(readxl)
library(ggplot2)
library(dplyr)
Utah_ski_resort_data_ <- read_excel("Desktop/Utah ski resort data..xlsx")
View(Utah_ski_resort_data_)
table(Utah_ski_resort_data_$Resort)
table(Utah_ski_resort_data_$`Named Runs`)
Utah_ski_resort_data_ %>%
ggplot(aes(x = Resort, y = `Named Runs`)) +
geom_bar(stat = "identity")
我建议使用reorder
排序,旋转标签避免重叠:
Utah_ski_resort_data_ <- structure(list(Resort = c("Park City", "Powder Mountain", "Snowbird",
"Alta", "Snow Basin", "Deer Valley"), `Named Runs` = c(348, 154, 140, 116, 107, 103)),
row.names = c(NA, -6L), class = c("tbl_df", "tbl", "data.frame"))
library(ggplot2)
library(dplyr)
Utah_ski_resort_data_ %>%
ggplot(aes(x = reorder(Resort, -`Named Runs`), y = `Named Runs`)) +
geom_bar(stat = "identity") +
theme(axis.text.x = element_text(angle = 60, hjust = 1))
您可以通过输入 ?reorder
和 ?ggplot2::element_text
找到更多信息。
像这样?
library(tidyverse)
Utah_ski_resort_data_ <- structure(list(Resort = c("Park City", "Powder Mountain", "Snowbird",
"Alta", "Snow Basin", "Deer Valley"), `Named Runs` = c(348, 154, 140, 116, 107, 103)),
row.names = c(NA, -6L), class = c("tbl_df", "tbl", "data.frame"))
Utah_ski_resort_data_ %>%
ggplot(aes(x = reorder(Resort, -`Named Runs`),
y = `Named Runs`)) +
geom_bar(stat = "identity")+
scale_x_discrete(guide = guide_axis(n.dodge = 2))+
theme(axis.title.x=element_blank())
由 reprex package (v0.3.0)
创建于 2020-12-02
我已经将一些代码链接在一起来创建我当前的图表。我唯一的问题是我在 x 轴上的标签被打印在彼此之上。有谁知道解决方案?另外,有没有一种方法可以将我的 x 轴标签从大到小组织起来?谢谢。 这是我正在使用的数据集:
structure(list(Resort = c("Park City", "Powder Mountain", "Snowbird",
"Alta", "Snow Basin", "Deer Valley"), `Named Runs` = c(348, 154, 140, 116, 107, 103)),
row.names = c(NA, -6L), class = c("tbl_df", "tbl", "data.frame"))
这是我的代码:
library(readxl)
library(ggplot2)
library(dplyr)
Utah_ski_resort_data_ <- read_excel("Desktop/Utah ski resort data..xlsx")
View(Utah_ski_resort_data_)
table(Utah_ski_resort_data_$Resort)
table(Utah_ski_resort_data_$`Named Runs`)
Utah_ski_resort_data_ %>%
ggplot(aes(x = Resort, y = `Named Runs`)) +
geom_bar(stat = "identity")
我建议使用reorder
排序,旋转标签避免重叠:
Utah_ski_resort_data_ <- structure(list(Resort = c("Park City", "Powder Mountain", "Snowbird",
"Alta", "Snow Basin", "Deer Valley"), `Named Runs` = c(348, 154, 140, 116, 107, 103)),
row.names = c(NA, -6L), class = c("tbl_df", "tbl", "data.frame"))
library(ggplot2)
library(dplyr)
Utah_ski_resort_data_ %>%
ggplot(aes(x = reorder(Resort, -`Named Runs`), y = `Named Runs`)) +
geom_bar(stat = "identity") +
theme(axis.text.x = element_text(angle = 60, hjust = 1))
您可以通过输入 ?reorder
和 ?ggplot2::element_text
找到更多信息。
像这样?
library(tidyverse)
Utah_ski_resort_data_ <- structure(list(Resort = c("Park City", "Powder Mountain", "Snowbird",
"Alta", "Snow Basin", "Deer Valley"), `Named Runs` = c(348, 154, 140, 116, 107, 103)),
row.names = c(NA, -6L), class = c("tbl_df", "tbl", "data.frame"))
Utah_ski_resort_data_ %>%
ggplot(aes(x = reorder(Resort, -`Named Runs`),
y = `Named Runs`)) +
geom_bar(stat = "identity")+
scale_x_discrete(guide = guide_axis(n.dodge = 2))+
theme(axis.title.x=element_blank())
由 reprex package (v0.3.0)
创建于 2020-12-02