Data Analysis Skepticism

Claudia emphasizes the importance of skepticism in data analysis, urging analysts to establish expectations before diving into their data. This approach not only fosters deeper understanding but also serves as a safeguard against misleading results. By questioning the integrity of their findings, analysts can either uncover new insights or identify flaws in their methodology.