This is the first plot of Histogram
library("dplyr")##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
library(ggplot2)
emp = iris
emp %>% ggplot(aes(x =Petal.Length))+geom_histogram(binwidth = 0.1 , fill="red" , colour = "black")This is the plot of Violin Plot
#Plotting Distributions - Violin plot..
emp %>% ggplot(aes(x =Species , y =Petal.Length)) + geom_violin(colour = "black" , fill="yellow")This is the plot of Box plot
#Plotting Distributions - Boxplots..
emp %>% ggplot(aes(x =Species , y =Petal.Length)) + geom_boxplot(colour = "black" , fill="blue")This is the plot of Density Plot
#Plotting Distributions - Density...
emp %>% ggplot(aes(x =Petal.Length , fill =Species))+geom_density(colour = "black" , alpha = 0.5)This is the plot of Jitter Plot
#Plotting Distributions - Stripcharts..
emp %>% group_by(Species) %>% sample_n(40) %>% ggplot(aes(x =Species , y =Petal.Length))+geom_jitter(height = 0 , width = 0.3 , size = 10 ,colour="red" , shape="*")This is the plot of Column Plot
emp %>% ggplot(aes(x =Petal.Length , y=Species))+geom_col(binwidth = 0.1 , fill="pink" , colour = "black")## Warning in geom_col(binwidth = 0.1, fill = "pink", colour = "black"): Ignoring
## unknown parameters: `binwidth`