Tags » Skew
Misalignment speaks volumes. Career efforts are derailed. “Not quite right” rules the day.
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Previously, we looked at analyzing a table to see which columns in that table may contain skewed data.
That was a good start, but now it’s time to look at the statistics that exist on that column to see if we can identify potential candidates for filtered statistics, based on the “windows” between histogram steps. 463 more words