The Three Numbers That Save Data Scientists from Debugging Disaster

Many data science projects fail not because of flawed algorithms, but because practitioners skip the crucial step of truly understanding their data. This article demonstrates why three fundamental statistics—mean, median, and variance—are non-negotiable prerequisites for building robust models. Without these insights, you're left debugging blindly instead of systematically.