User Friendly Data Visualization
Outputs a stacked bar plot to show the percent composition of samples,...
Gives the distinct values of a column of data from the data_frame
Extracts the dittoViz default colors
Example Data Generation
Plot discrete observation frequencies per sample and per grouping
scatter plot where observations are grouped into hexagonal bins and th...
Create a scatter plot of arbitrary data with flexible customization op...
Plots continuous data per group on a y- (or x-) axis using customizabl...
A comprehensive visualization toolkit built with coders of all skill levels and color-vision impaired audiences in mind. It allows creation of finely-tuned, publication-quality figures from single function calls. Visualizations include scatter plots, compositional bar plots, violin, box, and ridge plots, and more. Customization ranges from size and title adjustments to discrete-group circling and labeling, hidden data overlay upon cursor hovering via ggplotly() conversion, and many more, all with simple, discrete inputs. Color blindness friendliness is powered by legend adjustments (enlarged keys), and by allowing the use of shapes or letter-overlay in addition to the carefully selected dittoColors().