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Figure 2 provides a violin plot of this data.
The results are shown in Table 1 and Fig. 1. Figure 1 is a violin plot.
A violin plot is like a box plot, but includes a kernel density plot for the data, thus showing the distribution in more detail.
Ploidy analysis was visualized using a violin plot.
Figure 2: Would it not be informative to add a violin plot (similar to A and B) for dN/dS?
The width of a violin plot is equivalent to a density curve showing the distribution of values (here pausing indices) within a dataset.
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A, violin plots of the CoV of the average mutational investment (MI) scores for the genes, pathways, and hallmarks across the ten cancer types.
The violin plot is a modification of the box plot that adds plots of the estimated kernel density to the summary statistics displayed by box plots [ 33], incorporates a marker for the median of the data, a box indicating the interquartile range, and spikes extending to the upper- and lower-adjacent values; overlaid is a density plot.
Standard deviations in parentheses Fig. 5 Violin plot of median percentage of messages sent that include an inclusive pronoun by project status and developer role.
Standard deviations in parentheses Fig. 4 Violin plot of median number of messages sent that include an inclusive pronoun by project status and developer role.
(B) Violin plot as before, but in the absence of alpha atoms.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com