今天的推文介绍一下柱形图实现的代码
image.png
先介绍一个小知识点
ggplot2作图X轴默认坐标轴的刻度是朝下的,Y轴默认的刻度是朝左的,如果要改为朝上和朝右,该如何设置。之前也有人问过这个问题
代码语言:javascript复制library(ggplot2)
library(ggstar)
ggplot()
geom_star(aes(x=1,y=1),
size=100,
starshape=16,
fill="red")
theme_bw()
theme(axis.ticks.length.x = unit(-1,'cm'),
plot.margin = unit(c(1,1,2,1),'cm'),
axis.text.x = element_text(vjust=-20),
axis.title.x = element_text(vjust=-20),
axis.ticks.length.y = unit(-1,'cm'),
axis.text.y =
element_text(
margin = margin(0,1.2,0,0,'cm')
))
image.png
这里我们把axis.ticks.length.x = unit(-1,'cm')
刻度线的长度调整为负数就可以了,
但是还遇到一个问题是 横坐标的文本和标题可以通过vjust
参数上下调节,纵坐标的参数却不能够用hjust
的参数左右调节,不知道是什么原因
下面开始重复开头提到的柱形图
首先是数据,用到的是dslabs
这个R包
安装直接使用命令install.packages("dslabs")
加载数据集
代码语言:javascript复制library(dslabs)
data("nyc_regents_scores")
给数据集增加一列
代码语言:javascript复制library(dplyr)
nyc_regents_scores %>% head()
nyc_regents_scores$total <- rowSums(nyc_regents_scores[,-1], na.rm=TRUE)
对数据集过滤
如果score这一列是缺失值就把这行数据删除
代码语言:javascript复制nyc_regents_scores %>%
filter(!is.na(score)) -> new_df
最基本的柱形图
代码语言:javascript复制new_df %>%
ggplot(aes(score, total))
geom_bar(stat = "identity",
color = "black",
fill = "#C4843C")
image.png
指定位置添加背景
代码语言:javascript复制new_df %>%
ggplot(aes(score, total))
annotate("rect", xmin = 65,
xmax = 99,
ymin = 0,
ymax = 35000,
alpha = .5)
geom_bar(stat = "identity",
color = "black",
fill = "#C4843C")
image.png
添加文本注释
代码语言:javascript复制new_df %>%
ggplot(aes(score, total))
annotate("rect", xmin = 65,
xmax = 99,
ymin = 0,
ymax = 35000,
alpha = .5)
geom_bar(stat = "identity",
color = "black",
fill = "#C4843C")
annotate("text",
x = 66,
y = 28000,
label = "MINIMUMnREGENTS DIPLOMAnSCORE IS 65",
hjust = 0,
size = 3)
annotate("text",
x = 0,
y = 12000,
label = "2010 Regents scores onnthe five most common tests",
hjust = 0,
size = 3)
image.png
修改坐标轴刻度和位置
代码语言:javascript复制new_df %>%
ggplot(aes(score, total))
annotate("rect", xmin = 65,
xmax = 99,
ymin = 0,
ymax = 35000,
alpha = .5)
geom_bar(stat = "identity",
color = "black",
fill = "#C4843C")
annotate("text",
x = 66,
y = 28000,
label = "MINIMUMnREGENTS DIPLOMAnSCORE IS 65",
hjust = 0,
size = 3)
annotate("text",
x = 0,
y = 12000,
label = "2010 Regents scores onnthe five most common tests",
hjust = 0,
size = 3)
scale_x_continuous(breaks = seq(5, 95, 5),
limit = c(0,99))
scale_y_continuous(position = "right")
ggtitle("Scraping By")
xlab("") ylab("Number of tests")
image.png
最后是对主题进行设置
代码语言:javascript复制new_df %>%
ggplot(aes(score, total))
annotate("rect", xmin = 65,
xmax = 99,
ymin = 0,
ymax = 35000,
alpha = .5)
geom_bar(stat = "identity",
color = "black",
fill = "#C4843C")
annotate("text",
x = 66,
y = 28000,
label = "MINIMUMnREGENTS DIPLOMAnSCORE IS 65",
hjust = 0,
size = 3)
annotate("text",
x = 0,
y = 12000,
label = "2010 Regents scores onnthe five most common tests",
hjust = 0,
size = 3)
scale_x_continuous(breaks = seq(5, 95, 5),
limit = c(0,99))
scale_y_continuous(position = "right")
ggtitle("Scraping By")
xlab("")
ylab("Number of tests")
theme_minimal()
theme(panel.grid.major.x = element_blank(),
panel.grid.minor.x = element_blank(),
axis.ticks.length = unit(-0.2, "cm"),
plot.title = element_text(face = "bold"))
image.png