Test driven data analysis is an attempt to extend the ideas from test driven development of testing for software correctness with things that are also important for data science. It's about validating data using constraints and indeed automatically developing suitable constraints for checking data. Nick Boulden, chief data scientist at Stagastic Solutions explains how it all came into being.
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Nick Radcliffe, data scientist and entrepreneur, talks to us about the importance of test your data. As software engineers we are familiar with test driven development. Test driven data analysis puts the same emphasis on validating and testing data for your AI app. We also dive into the Python library of the same name tdda.
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