H2O Flow comes with an experimental plot option that can be used as below.

What you need is:

• X: Column name
• Y: Column name
• Data: DataFrame name

Here is what the experimental script looks like:

plot (g) -> g(
   g.point(
   g.position "X_Column", "Y_Column"
 )
 g.from inspect "data", getFrameData "DATA_SET_KEY"
)

You can launch the plot configuration as below:

plot inspect 'data', getFrame "<dataframe>"

Here is the screen shot:

Here is the example script:

plot (g) -> g(
      g.point(
      g.position "FIRST_PAYMENT_DATE", "CHANNEL"
      )
    g.from inspect "data", getFrameData "FM_Joined"
)

Note: This experimentation script only selects first 20 columns and 1,000 rows — and this setting can not be configured.