Data Preparation Mistakes

From Catlin Garrett via Vincent Granville.  Good thoughts worth reviewing.  Boils down to really understanding the source of your data elements, and how they were generated. Examine the elements, if there are too many to examine, visualize them and look for anomalies.  Get access to an expert on the business generation and use of the data and have them do the same.   Comments have some good points too.