I work with big data and machine learning and when I have a question for the stackoverflow community, I am often unsure of how to tractably provide a reproducible example.
With a big dataset, especially one with many columns, it may be hard to know which part of the dataset is causing the problem -- and therefore hard to know what part to reproduce.
For example, if I am trying to run a command (e.g., lasso) on a large data set (my current project's dataset is around 200 MB) but getting an error message, how could I create a toy dataset for other members of the community to reproduce that captures the necessary features of data?
I suppose one could upload a .csv to Github as discussed here. But this does not seem like the best solution to me due to privacy or proprietary issues related with many datasets.