(Otherwise known as Truncate – Load – Analyze – Repeat!) After you’ve prepared data for analysis and then analyzed it, how do you complete this process again? And again? And again? Most analytical applications are created to truncate the prior data, load new data for analysis, analyze it and repeat
Well OK, so there is an "i" in science, but being a data scientist is certainly not a lonesome job. Engagement with other team members is essential with data analytics work, so you never really work in isolation. Without the rest of the team, we would fail to ask all
This SAS tip is from Robert Virgile and his book “SAS Macro Language Magic: Discovering Advanced Techniques”. We hope you find this tip useful. You can also read an excerpt from Virgile’s book. When CALL SYMPUT creates a new macro variable, it places that variable in “the closest non-empty symbol
