program 9-14

create a R program to calculate and visualize corelation matrix for a given data set with color coded cells the strength and directions,using ggplot2 geom_tile function

Write an R program to create multiple dot plots or group 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 the distribution of a continuous variable,with a separate violins for each group using an inbuilt dataset.

11.To generate a basic boxplot using ggplot2 enhanced with notches and outliers and grouped by a categorical variable using an in-built dataset in R.

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

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

Combination of all program

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

6.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.

5.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.

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

3.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.

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

1.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.