prg 9-14

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

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

develop a script in R to create a violin plot displaying the distribution of a continuous variable,with a separate violins for each group using an inbuilt dataset.

.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.

11.To generate a basic box plot using ggplot2,enhanced with notches and outliers ,and grouped by a categorial variable using an in built dataset in R

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

(program of 1 to 7)

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

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 .

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 categorial analysis using the group_by command,and visualize the findings using ggplot2 features.

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

4.develop a script in R to produce a bar graph displaying the frequency distribution of categorial data in a given dataset,grouped by specific variable,using ggplot2

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