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 a 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 the distribution of a continuous variable, with separate violins, using ggplot2.

Write a R program to generate a basic box plot, enhance with notches and outliers ,and grouped by a categorical variable,using ggplot2

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.

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.

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Develop an R program to calculate and visualize a correlation matrix for a given dataset, with color-coded cells indicating the strength and direction of the correlation using the ggplot2 package and the geom_tile() function.

According to the World Health Organization (WHO) stroke is the 2nd leading cause of death globally, responsible for approximately 11% of total deaths. This data set is used to predict whether a patient is likely to get stroke based on the input parameters like gender, age, various diseases, and smoking status. Each row in the data provides relevant information about the patient.

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