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, select it from the
Add | Scripting Viewers menu.
To edit the rest of the properties, either click on the gear icon on top of the viewer,
or press F4 when the viewer has focus, or open the hamburger menu and select Viewer | Properties.
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.
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)Open Time Series Decomposition project as an example of scripting viewer usage for time series decomposition.
See also: