I’m working on reformatting a large, dynamically updated table in Google Sheets into a new layout.
The original table is extensive and changes automatically when updated by another user. I need a formula-driven approach and was considering a function similar to the query feature. For instance, you might try a custom function like:
=GAUTABLE(Data_Range, "SELECT Col1, Col3 WHERE Col4 < 50", 0)
Any suggestions on how to efficiently achieve this conversion?
In a similar project, I discovered that using Google Sheets’ native QUERY function in combination with IMPORTRANGE can serve as an effective workaround for dynamically updated tables. I experimented with custom functions written in Apps Script to better manage the data flow, especially when dealing with large and changing datasets. Although lambda functions can offer powerful array manipulation, integrating QUERY reduces some complexity. I recommend prototyping with small data samples first to identify performance bottlenecks before fully implementing the solution.
hey try using array formulas with lambda funcitons instead. i’ve seen pivot tables work dynamically too even though they can be a bit tricky. couldnt hurt to test out a custom script option if formulas fall short.