There are different use cases. What you say is not really CSV specific and true about most data sets: you receive data sets that are not compliant to whatever s

There are different use cases. What you say is not really CSV specific and true about most data sets: you receive data sets that are not compliant to whatever spec you expect. Different projects must handle it in different ways, either making some efforts to correct errors or not. In some cases data users wield enormous power over data submitters (e.g., many for-record safety analyses or real-time systems). If any part of the data collection process is suspect the sample is likely to get tossed. And for spec compliance, if a data set does not pass perfectly through a validator the sender will likely get some sort of a "shame on you" nastygram.