Yash_Pratap
Yash Pratap
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COVID-19
Quatro Report
COVID-19
Quatro Presentation
Document 15
Correlation Matrix
Program 14
Develop a r program to calculate and visualize a correlation matrix for a given data set, with color coded cells indicating the strength and direction of correlations, using ggplot2 geom_tile function.
Program 11
To generate a basic box plot using ggplot2, enhanced with notches and outliers and grouped by using a categorical variable using the in-built dataset in R.
Document13
Write an R program to create multiple dot plots for grouped data, comparing the distributions of variable across different categories, using ggplot2's position dodge function.
Document12
Develop a script in R to create a violin plot displaying the distribution of a continuous variable with separate violins for each plot, using ggplot2.
Document 10
Plot density graph.
Document 9
Create multiple histograms using ggplot2: to visualize how a variable is distributed across different groups in a built R data-set .
Document 8
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.
Document 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.
Document 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 aesthetics.
Document 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.
Document 4
Develop a script in R to produce a bar graph displaying the frequency distribution of categorical data in the given dataset, grouped by a specific variable, using ggplot2.
Document 3
Introduction to graph
Document 2
Write an R script to create a scatter plot, incorporating categorical analysis through color-coded data points representing different groups, using ggplot2.
Document 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.