Vioplot is a chart used for visualizing data distribution, which combines the characteristics of boxplot and kernel density estimation (KDE) to more comprehensively display the distribution characteristics of data. Its name comes from its shape resembling a violin.

Input

Sample Grouping and Abundance Table

A tab separated text file containing row and column names, with each row representing a sample, the first column representing the sample name, the second column representing the grouping, and the remaining columns representing a gene.

Output

The rectangle in the middle displays the range of 25th to 75th percentile of the data, the lines in the rectangle show the median of the data, and the symmetrical curves on both sides represent the probability density distribution of the data. The width of the curve reflects the frequency or probability of the data within this numerical range. The upper and lower boundaries of the violin are usually consistent with the minimum and maximum values of the data, similar to the "whiskers" in a box plot. There is no significant difference between groups with a p-value greater than 0.1. There may be a certain degree of difference between the p-values of 0.05-0.1, but it is not significant. The p-value is significantly different between the 0.01-0.05 groups. The p-value is less than 0.01, indicating a significant difference between the groups.