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Build a bump chart showing changes in tech company ranking based on revenue over 5 years
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Build a bump chart showing changes in tech company ranking based on revenue over 5 years
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 dataset in R.
Program 12
To create a violin plot using ggplot2 in R that displays the distribution of a continuous variable with separate violins for each group using an in-built dataset.
Program 14
Develop an R program to calculate and visualize a correlation matrix for a given dataset with coloured product cells indicating the strength and direction of correlation, using ggplot2,geom_type function
Program 13
Write a program to create multiple dot plots for grouped data, comparing the distribution of variable across different categories using ggplot2’s position dodge function.
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 a built-in R dataset.
Program 7
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.
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 HISTOGRAM illustrating the distribution of a continuous variable with overlays of density curves for 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 ccreate a scatterplot incooperating categorical analysis through color coded data points represent different groups using ggplot2.
program 1
Develop an R program to quickly explore a given data set, including categorical analysis using the group_by command , and visualize finding using ggplot2 feature.