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Scripting viewer

Scripting viewers are viewers implemented in R, Python, or Julia. Internally, they use scripting for integration with the Datagrok platform.

While not as interactive as the core Datagrok viewers, they allow to easily use thousands of visualizations already developed for these languages.

To add an existing viewer to a table view, on the menu ribbon, click the Add viewer icon and select Scripting Viewer in the opened dialog.

To edit the rest of the properties, either click the Gear icon on top of the viewer, or press F4 when the viewer has focus, or open the hamburger menu and select Properties.

Customize scripting viewer scripts​

Since all scripting viewers are based on scripts, it is easy to customize the existing ones or create your own viewer. To customize the script's code, open it by clicking on Edit script in the hamburger menu. To add a new scripting viewer to the main menu, add the viewers tag to the script header.

Scripting viewer code example​

The following example shows code for a simple scatter plot written on R, using the ggplot2 library.

#name: Scatter plot
#language: r
#tags: demo, viewers
#input: dataframe t
#input: column xColumnName
#input: column yColumnName
#input: column colorColumnName
#output: graphics

require(ggplot2)

# Compose input columns into data frame with required names
data <- data.frame(x=t[[xColumnName]], y=t[[yColumnName]], color=t[[colorColumnName]])

# Plots
plotScatter <- ggplot(data,
  aes(x, y, colour=color), xlab=x, ylab=y) +
  labs(x=xColumnName, y=yColumnName) +
  geom_point()
print(plotScatter)

Demo project​

Open Scottish Hills Visualization project as an example of scripting viewer usage.

Videos​

Scripting Viewer

See also: