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Varsha S

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LA-1 PPT
Build a circular bar plot to show percentage allocation of a government budget across sectors.
LA 1
Build a circular bar plot to show percentage allocation of a government budget across sectors.
Program 15
R programs 9 to 14
Program 14
Develop a R program to calculate and visualize correlation matrix for a given dataset, with color coded cells indicating the strength and relations of correlations, using ggplot2::geom_tile function.
Program 13
Write an R program to create multiple dot plots or group data, comparing the distribution of variables across different categories, using ggplot2’s position_dodge function.
Program 12
Develop a script in R to create a violin plot displaying the distribution of continuous variable, with separate violins for each group using ggplot2.
Program 11
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.
Program 10
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.
Program 9
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 built-in R dataset.
Program 8
R programs 1 to 7
Program 7
Develop a function in R to plot a function curve based on mathematical equation provided as input, with different curve styles for each group, using ggplot2.
Program 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.
Program 5
Implement an R program to create a histogram illustrating the distribution of a continuous variable, with overlays of density curves of each group, using ggplot2.
Program 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 specific variable using ggplot2.
Program 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
Program 2
Write an R script to create a scatter lot, incorporating categorical analysis through color-coded data points representing different groups, using ggplot2.
Program 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.