Develop an R program to quickly explore a given dataset, including categorical analysis using the group_by command, and visualize the findings using ggplot2 features.

Create multiple histogram using ggplot2::facet_wrap() to visualize how a variable is distributed to different groups in a built-in R dataset.

Create multiple histograms using ggplot2 :: facet_wrap() to visualize how a variable (e.g sepal.length) is distributed across different groups (e.g species ) in a built_in R dataset

Create multiple histograms using ggplot2 ::facet_wrap() to visualize how a variable(e.g., Sepal.length) is distributed across different groups (e.g.,species) in a built-in R data set.

Develop a function in R to plot a function curve based on a mathematical equation provided as input, with different curve styles for each group, using ggplot2.

Create multiple histograms using ggplot2:: facet_wrap() to visualize how a variable (e.g sepal.length) is distributed across different groups (e.g species) in a built-in R dataset

Write an R script to construct a box plot showcasing the distribution of a continuous variable, grouped by a categorical variable, using ggplot2’s fill aesthetic.

create multiple histogram using ggplot2::facet_wrap() to visualize how a variable(e.g, sepal.length) is distributed across different groups(e.g, species) in a built in R dataset

Implement an R program to create a histogram illustrating the distribution of a continuous variable, with overlays of density curves for each group, using ggplot2.

Develop a script in R to produce a Bar graph displaying the frequency distribution of categorical data in a given dataset, grouped by a specific variabe, using ggplot2.