SUMMARY OF ALL PROGRAM FROM 9 TO 14

Develop a script in R to calculate and visualize a correlation matrix for a given dataset, with color-coded cells indicating the strength and direction of correlations, using ggplot2’s geom_tile function.

Write an R program to create multiple dot plots for grouped data, comparing the distributions of variables across different categories, using ggplot2’s position_dodge function

Develop a script in R to create a violin plot displaying distribution of a continuous varible, with separate violins for each group using ggplot2

Develop an R funtion to draw a density curve representing the probablity density function of a countinuous variable with seperate curves for each curve, using ggplot2.

Develop an R program to generate a basic box plot using ggplot2, enhanced with notches and outliers and grouped by a categorical variable using an in-built data set R.

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.

Summary of al 8 programs

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

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.

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 variable, using ggplot2.

Implement an r program to create a histogram illustrating the distribution of continuous variable with overlay of density curves of each group ,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.

write a r script to create a scatter plot, incoporating 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