[kengoa]

Yes I do have plans for data preprocessing using DuckDB WebAssembly (I have upcoming features secion in this blog: https://kengoa.github.io/software/2024/11/03/small-software....) but this will require SQL which some of the target audience might not be familiar with. I'm thinking of something like visual query builder from metabase.

> With the UI I want to be able to toggle between different strategies quickly - strip characters from a column to treat it as numeric, if less than 2% or 5% of values have a character, fill na with mean, interpret dates in different formats - drop if the date doesn't parse

Those are really good examples and I can make those predefined preproccesing techniques available as toggles in the dataset tab. Thanks for the feedback!