Compiling programs from 9-15.

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.

Develop an R program to create a box plot to compare the Sepal Length across different species in the iris dataset. Ensure the plot highlights outliers with a specific color and shape, includes notches to compare medians, and applies appropriate labeling and styling.

Develop a script in R to create a violin plot displaying the distribution of a continuous variable, with separate violind for each groups, using ggplot2.

Develop an R program to calculate and visualize a co-relational matrix for a given dataset, with color coded cells indicating the strength and direction of co-relations using ggplot2's geom_tile function.

Program Develop an R function to draw a density curve representing the probability density function of a continuous variable, with separate curves for each group, using ggplot2.

Write an R program to create many dotplots from grouped data. Comparing the distributions of variables across using ggplot2 's position_dodge function.

Develop an R program to compile all the programmes from 1-7.

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

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 specific variable, using ggplot2.

Implement an R function to generate a line graph depicting the trend of a time-series dataset, with separate lines for each group, utilizing ggplot2's group aesthetic.

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

Write an R script to create a scatter plot, incorporating categorical analysis through color-coded data points representing different groups, using ggplot2.

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