Earlier quoted context omitted.
Agree. Not saying csv doesn’t have its issues, but I don’t think the author made a convincing argument. A lot of the issues the author brought up didn’t sound that bad and/or it sounds like he never looked at the source data first. If you’re doing work with large datasets, I think it’s a good practice to at least go and look at the source data briefly to see what to expect. This will give you a good idea of the forma…
IME most people don't know that using Excel to open and save a csv will silently mangle data. In our application leading zeros are significant, so we constantly get screwed by people trying to do quick manual edits and breaking the data. If we're lucky it breaks so badly the import fails. It's worse when the mangling results in structurally valid but wrong data.
These are pretty well know excel limitations by now.
And really, anyone using excel who is somehow not aware of that limitation is probably not someone yet experienced enough to be working on a larger and/or mission critical dataset to begin with.
Are there exceptions? Sure. You might be tempted to cite the example of the incident where this happened to some biologists not too long ago, but mistakes happen. I’ve seen people make mistakes building android or iPhone using the right (TM) tools.
What is the exact number of mistakes where you make the decision to jump to a new format?
I’m not sure. This does happen eventually, but the author didn’t make a strong case here imo.