Andy Troiano

I can also confirm @roirodriguez worked in Debian 10

I agree. It's pretty good timing for this too because I am working on extracting huge amounts of data from credit reports that are stored in XML, to the tune...

@CerebralMastication I have some code that takes some stuff from this https://github.com/dantonnoriega/xmltools/blob/master/R/xml_to_df.R and throws all the terminal nodes into a long tibble and saves the nodes it traverses to get...

@st-pasha Do you want me to raise a ticket about lead/lag?

I ended up moving my pipeline to Databricks and bypassing the whole azureSMR function completely.

@rsmith54 This is the method I am using, thanks for providing. I would suggest you use fwrite from the data.table package instead of write.csv. For text columns, write.csv won't delimit...

For large DFs, I created a function that will load the data into large chunks and read the loaded data back into a DF ``` save_chunks