spark_plot_pairs: A pairs plot generation tool for sparklyr tables
In GabeChurch/sparkedatools:

This is a lightweight and simple wrapper around GGally for SparklyR tables. It will randomly sample 80,000 records

1 2	spark_plot_pairs(sparklyr_table, label_col, sample_size = 80000, my_title = "Pairs Plot", progress = FALSE)

`sparklyr_table`	is the sparklyr table to pass to the function
`label_col`	is the column you want to label in the plot.
`sample_size`	80000 is the default, you can increase this if you wish however it may lead to poor performance.
`my_title`	is the tile of your pairs plot.
`progress`	is FALSE by default, is you change it will produce status bars to let you know the speed.

You must have GGally, sparklyr, dplyr, and ggplot2 installed
Suggested to store the outputs, and check the chunk settings (as follows) on the stored output to avoid re-running. You can change the plot output sizes with the chunk settings using knitR like r fig.height=12, fig.width=12
Example selection of a spark table and plot generation
iris_df = copy_to(sc, iris, name="iris_df")
spark_plot_pairs(sparklyr_table = iris_df, label_col = "Species")

GabeChurch/sparkedatools documentation built on June 25, 2019, 12:23 p.m.