What’s going on in the world of data validation? For those of you who don’t know, data validation is the process of checking data quality in an automated or semi-automated way—for example, checking datatypes, checking the number of missing values, and detecting whether there are anomalous numbers. It doesn’t have to be rows in a dataframe though, it could be for validating API input or form submissions. The user provides rules for what should be flagged as an issue, for example saying...
