This is why I've adopted R and Python for the data work I do. I have a bunch of exported data (CSV files) that I use. Manipulating the structure and format is 9

This is why I've adopted R and Python for the data work I do. I have a bunch of exported data (CSV files) that I use. Manipulating the structure and format is 90% of the work. I wrote the scripts once, now I can reuse that for everything instead of playing games getting those CSV files (dates in particular) to play nicely. Even a one off analysis is actually FASTER in Pandas because I've done the work of farting around with the formatting. Now I can just write the necessary analysis code, rather than deal with the formatting. That said, my data analytics work is seriously small potatoes compared to many. But I can write a quick pivot table using Dplyr faster than I can do it in Excel.