Plot a bubble chart showing life expectancy vs GDP per capita, sized by population and colored by continent. Using Dataset: https://ourworldindata.org/grapher/life-expectancy-vs-gdp-per-capita these datasets.

Plot a bubble chart showing life expectancy vs GDP per capita, sized by population and colored by continent. Using Dataset: https://ourworldindata.org/grapher/life-expectancy-vs-gdp-per-capita these datasets.

all grpah plotting from program 9 to 15

Develop a script in R to create a violin plot displaying the distribution poof a continuous variable with separate violins for each group using ggplot2

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 for grouped data , comparing the distribution of variable across different using ggplot2’s position dodge function .

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

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

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

8. Write an R program loading a dataset and demonstrating a scatter plot,line plot , histogram,box plot using grouped data and curve style for mathematical equation provided of built in datasets in R studio.

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 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.

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 a 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. I

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