Barplot with errorbars Using summary_stat() function in ggplot2 and R programming

#barplot #datavisualization #datascience #rprogramming #ggplot2 #datavisualization #summarystat
In this video i have demonstrated use of summaey_stat() function with ggoplot() to get barplots with errorbars. I have demonstrated grouped barplot with errorbars also.
with this approach explicit computation of summar statstics like mean and sd using group_by() and summarize() functions is not required. A lot of time is saved.
#code
head(iris)
summary(iris)
library(ggplot2)
ggplot(iris,aes(Species,Sepal.Length))+
stat_summary(fun="mean", geom="col")+
stat_summary(fun.data="mean_se",geom="errorbar", width=0.2, size=1)+
theme_classic()
library(tidyr)
iris_long = pivot_longer(iris,cols=1:4, values_to = "Length",names_to = "Measurement")
ggplot(iris_long,aes(Species,Length,fill=Measurement))+
stat_summary(fun="mean", geom="col", position = "dodge")+
stat_summary(fun.data="mean_se",geom="errorbar", width=0.2, size=1, position = position_dodge(width=0.9))+
theme_classic()
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