More information on dygraphs can be found at https://rstudio.github.io/dygraphs/
You need to install the
dygraphs package. If you are using a Conda environment, you can also choose to install in the Conda section the
Displaying charts in a Jupyter notebook¶
dygraphs charts will not work properly if you only use the
dygraph() method in a Jupyter R notebook.
To display dygraphs charts in a Jupyter notebook, use:
library(dataiku) library(dygraphs) the_graph <- dygraph(mydata) dkuDisplayDygraph(the_graph)
For example, to display the sample
library(dygraphs) library(dataiku) lungDeaths <- cbind(mdeaths, fdeaths) dkuDisplayDygraph(dygraph(lungDeaths))
Converting a date column to a time-series¶
Dygraphs works primarily with time series. If you have a DSS dataset with a “date” column, you’ll need to convert your dataframe to a time series or XTS object.
For example, the following will create a time-series of
library(xts) df <- dkuReadDataset("orders") timeseries <- xts(df$revenue, order.by=as.Date(df$order_ts)) # You can then plot timeseries dkuDisplayDygraph(dygraph(timeseries) %>% dyRangeSelector())
Displaying charts on a dashboard¶
dygraphs charts generated using R code can be shared on a DSS dashboard using the “static insights” system.
Each dygraphs chart can become a single insight in the dashboard. Each chart will retain full interactive capabilities (if you have defined them in your dygraph)
To do so, create static insights
# dg is a dygraphs object, created using the dygraph() function dkuSaveHTMLInsight("my-dygraphs-plot", dg)
From the Dashboard, you can then add a new “Static” insight, select the
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
dkuSaveHTMLInsight code can be:
In a DSS recipe (use a regular “Build” scenario step)
In a Jupyter notebook (use a “Export notebook” scenario step)
Using in Shiny¶
Dygraphs can be used directly in Shiny. See https://rstudio.github.io/dygraphs/shiny.html for more information.
See https://github.com/dataiku/dss-code-samples/tree/master/visualization/shiny/shiny-and-dygraphs for a complete code sample