Using googleVis

The googleVis package is R interface to Google’s chart tools.

For more information, see https://cran.r-project.org/web/packages/googleVis/

Installing googleVis

The googleVis package is not installed by default. The recommended way to install it is to use a code environment

See how to install R packages

  • For a regular R environment, you need to install the googleVis package

  • If you are using a Conda environment, you can also choose instead to install in the Conda section the r-googlevis package.

Displaying charts in a Jupyter notebook

googleVis charts will not work properly if you only use the plot() method in a Jupyter R notebook.

Instead, use the dkuDisplayGooglevis method.

For example; to display the first example in the googleVis documentation:

    library(googleVis)

    # Make some data
    df=data.frame(country=c("US", "GB", "BR"),
          val1=c(10,13,14),
          val2=c(23,12,32))

# Prepare the chart
Line <- gvisLineChart(df)

# And display it
dkuDisplayGooglevis(Line)

Displaying charts on a dashboard

googleVis charts generated using R code can be shared on a DSS dashboard using the “static insights” system.

Each chart can become a single insight in the dashboard.

To do so, create static insights

# Prepare thje chart
Line <- gvisLineChart(df)

# Save it as an insight
dkuSaveGooglevisInsight("my-googlevis-plot", Line)

From the Dashboard, you can then add a new “Static” insight, select the my-googlevis-plot insight

Refreshing charts on a dashboard

You can refresh the charts automatically on a dashboard by using a scenario to re-run the above piece of code.

This call to dkuSaveGooglevisInsight code can be:

  • In a DSS recipe (use a regular “Build” scenario step)

  • In a Jupyter notebook (use a “Export notebook” scenario step)