Data Mindset Essentials

Xiao-Li emphasizes the importance of understanding data before diving into analysis, warning against the pitfalls of poor data practices. He introduces the concept of "data confession," urging scholars to disclose data imperfections and the thought processes behind their collection methods. This transparency is crucial for uncovering real signals in complex datasets.