This visualization demonstrates how SQL handles null values in comparison and assignment operations. It shows the distinct results of various null-checking predicates—including `<=>`, `IS NULL`, `IS NOT NULL`, and `ISNULL`—combined with `IF` logic and the `IFNULL` function. The query executes against a single-row dataset containing the value `1`, then uses `GROUP BY ... WITH ROLLUP` to produce aggregated output, highlighting differences between MySQL’s null-safe equality operator and standard null checks. The gallery example relies on standard SQL execution, with no additional charting or graphics libraries involved.