Author: Dee Velazquez and Jean Fan
Date: 2024-11-22

# Visualizing multiple datasets with scatterbar

#### Dee Velazquez and Jean Fan

#### 2024-11-22

# Visualizing multiple datasets with scatterbar

This tutorial demonstrates how to visualize multiple datasets together, utilizing the package `patchwork`.

Below we can load in our datasets provided by `scatterbar` and create the respective scatterbars using those datasets and save them to a variable.

    library(scatterbar)
    library(ggplot2)

    data("mOB")
    data("adult_mouse_brain_ffpe")

    # Basic scatterbar plot with default settings
    p1 <- scatterbar(mOB$data, mOB$xy) + coord_fixed()
    #> Calculated size_x: 1.24034734589208
    #> Calculated size_y: 0.930260509419063
    #> Applied padding_x: 0
    #> Applied padding_y: 0
    p2 <- scatterbar(adult_mouse_brain_ffpe$prop, adult_mouse_brain_ffpe$pos) + coord_fixed()
    #> Calculated size_x: 302.260275014085
    #> Calculated size_y: 323.465991707814
    #> Applied padding_x: 0
    #> Applied padding_y: 0

We can then load in `patchwork` and visualize both scatterbars in one plot.

    library(patchwork)
    p1 + p2