This project looks at the impact of payroll allocations on success in the MLB. In website form, we analyze a dataset to draw conclusions about the correlation between payroll and win rate/regular season results using data science. We hope you like it!

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 density function of a continuous variable, with separate curves for each group, using ggplot2.

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.

Aqila Khansa Hartanto_M0723015

Article on rate decisions with image

Create multiple histogram using ggplot2 facet_wrap() , a density curve representing the probability density,to generate basic box plot using notch and outliers , violin plot,many dotplots,co-realtion matrix to visualize how a variable is distributed to different groups in a built-in R dataset.

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.

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.

SUMMARY OF ALL PROGRAM FROM 9 TO 14