Making Sense Out of Missing Data
Blog Administrator | Analyzing Data, Analyzing Data Quality, Data Integration, Data Management, Data Quality |
By David Loshin
I have spent the past few blog posts considering different aspects of null values and missing data. As I mentioned last time, it is easy to test for incompleteness, especially when system nulls are allowed. And even in older systems, the variable ways that missing or null data is represented is finite, making it easy to describe rules for flagging incomplete records.
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