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

Second homework for the course "Applied Data Analysis in Business with R", covering regression.

Data analysis steps (including test for normality and equality of variances) when testing differences between groups using ANOVA and/or Kruskal Wallis.

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

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