按一天中的小时发生的直方图

Histogram for occurrences by hour-of-day

我有一个包含时间的向量。我想知道每小时的时间频率。 矢量看起来像这样

head(time_col)
[1] "2021-11-23 09:00:00 GMT" "2021-11-23 13:55:00 GMT"
[3] "2021-11-23 01:25:00 GMT" "2021-11-23 01:50:00 GMT"
[5] "2021-11-23 02:25:00 GMT" "2021-11-23 01:30:00 GMT"

hist(time_col,"hours",main = "Density of accidents in each hour" , xlab = "hour" , ylab = 
"density",col="green")

我想要频率直方图

您的数据:

df <- data.frame(time_col=c("2021-11-23 09:00:00 GMT",
"2021-11-23 13:55:00 GMT",
"2021-11-23 01:25:00 GMT",
"2021-11-23 01:50:00 GMT",
"2021-11-23 02:25:00 GMT",
"2021-11-23 01:30:00 GMT") )

加载库:

library(lubridate) # for date-time manipulation
library(tidyverse) # for the handy '%>%', mutate() and summarise()
library(ggplot2) # for plotting

按小时计算出现次数

df %>% mutate(time_col = ymd_hms(time_col)) %>% 
       mutate(hour = hour(time_col)) %>% 
       group_by(hour) %>% summarise(freq = n()) -> hour_freqs 

ggplot2 绘图方法:

ggplot(hour_freqs, aes(x=hour, y=freq)) +
  geom_bar(fill = 'green', stat='identity') 

对于基础 R,你可以这样做:

barplot(hour_freqs$hour, hour_freqs$freq)
axis(2, seq(0, 5, by=1))