ggplot2 explained 10 nice plots to visualise data disitribution, histo, denisty, boxplot, raincloud

#rprogramming #datavisualization #ggplot2 #distribution #boxplot #histogram #densityplot #violinplot #dotplot #stripchart #ridgeline #raincloudplot #halfeyeplot #beeswarmplot
In this video, I have demonstrated how to plot data distributions using very simple ggplot2 code. histogram, density plot, boxplot, strip chart, dot plot, ridgeline plot, halfeyeplot, eyeplot, raincloud plot has been explained.
The code is provided below.
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code
library(ggplot2)
library(ggdist)
library(ggbeeswarm)
head(iris)
str(iris)
ggplot(iris,aes(Sepal.Length,fill=Species,color=Species))+
geom_histogram(alpha=0.5)
ggplot(iris,aes(Sepal.Length,fill=Species,color=Species))+
geom_density(alpha=0.5)
ggplot(iris,aes(Species,Sepal.Length,fill=Species,color=Species))+
geom_boxplot(alpha=0.5)
ggplot(iris,aes(Species,Sepal.Length,fill=Species,color=Species))+
geom_violin(alpha=0.5)
ggplot(iris,aes(Species,Sepal.Length,fill=Species,color=Species))+
geom_dotplot(binaxis="y",dotsize=0.5,stackdir = "center")
ggplot(iris,aes(Species,Sepal.Length,fill=Species,color=Species))+
geom_beeswarm()
ggplot(iris,aes(Species,Sepal.Length,fill=Species,color=Species))+
stat_dots()
ggplot(iris,aes(Species,Sepal.Length,fill=Species,color=Species))+
geom_jitter(position=position_jitter(0.1))
ggplot(iris,aes(Species,Sepal.Length,fill=Species,color=Species))+
stat_eye(alpha=0.3)
ggplot(iris,aes(Species,Sepal.Length,fill=Species,color=Species))+
stat_halfeye(alpha=0.3)
ggplot(iris,aes(Species,Sepal.Length,fill=Species,color=Species))+
stat_halfeye(alpha=0.3,justification=-0.2)+
geom_boxplot(width=0.12,alpha=0.3)+
stat_dots(side="left",justification=+1.1)+
coord_flip()+
theme_bw()+
theme(legend.position = "none")
ggplot(iris,aes(Species,Sepal.Length,fill=Species,color=Species))+
stat_halfeye(alpha=0.3,justification=-0.2)+
geom_boxplot(width=0.12,alpha=0.3)+
geom_beeswarm()+
coord_flip()+
theme_bw()+
theme(legend.position = "none")
ggplot(iris,aes(Species,Sepal.Length,fill=Species,color=Species))+
stat_halfeye(alpha=0.5,justification=-0.2, adjust=0.3)+
geom_boxplot(width=0.12,alpha=0.3)+
geom_jitter(position=position_jitter(width=0.12))+
coord_flip()+
theme_bw()+
theme(legend.position = "none")
ggplot(iris,aes(Species,Sepal.Length,fill=Species,color=Species))+
stat_halfeye(alpha=0.5,justification=-0.2, adjust=0.3)+
geom_boxplot(width=0.12,alpha=0.3)+
geom_rug()+
coord_flip()+
theme_bw()+
theme(legend.position = "none")

[@msrabidagrofisheries.5034]

great

[@libradososa5394]

Excelente video!!

[@DevResearch]

Thanks. Please share this.

[@mohamedlagzouli6679]

Very informative
Think you dr

[@danjarupath]

Awesome 👍👍👍👍😎

[@DevResearch]

Thanks ✌️