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Tejaswini Reddy

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Report on Sankey
Presentation
Based on the Sankey Diagram
Program LA1
Build a Sankey diagram to show how students move across elective courses from Year 1 to Year 3.
Program 15
Compiling programs from 9-14.
Program 14
Develop an R program to calculate and viszalise a co-relational matrix for a given dataset, with color coded cells indicating the strength and direction of co-relations, using ggplot2, geom_tile function.
Program 13
Write an R program to create many dotplots from the grouped data, comparing the distributions of variables across using ggplot2’s position_dodge functions.
Program 10
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
Program 12
Develop a script in R to create a violin plot displaying the distribution of a continuous variable, with separate violins for each group, using ggplot2.
Program 11
To generate a box plot using ggplot2, enhanced with notches and outliers, and grouped by a categorical variable using an in-built dataset in R.
Program 9
Create multiple histograms using ggplot2::facet_wrap() to visualize how a variable (eg., Sepal.Length) is distributed across different groups (eg., Species) in a built-in R dataset.
Program5
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.
Program7
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 8
Develop an R program to compile all the programmes from 1-7.
Program 6
6. Write a 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 4
4. Develop a script in R to produce a bar graph displaying the frequency distribution of categorical data in a given dataset, grouped by 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 gglopt2’s group aesthetic.
Program2
Write an R script to create a scatter plot, incorporating categorical analysis through color-coded data points representing different groups, using ggplot2.
Program1
Develop an R program to quickly explore a given data set, including categorical analysis using group_by command, and visualize the findings using ggplot2 features.