Database Management Systems by Michael M Gorman

By Michael M Gorman

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Really? Here is a typical example of a study you may read in respected news outlets, yet the analytics used to support the author’s opinion are poor. Crime rates in big cities (where gasoline use is high) peaked about 20 years after lead was banned from gasoline, according to an econometric study by Rick Nevin. The 20-year time lag is the time elapsed between lead exposure at birth and turning into a 20-year-old criminal. At least that’s the argument proposed by some well-known econometricians, based on crime-rate analysis over time in large cities.

Even though Target may lack data for garden sales in February, you could look at competitor data (for instance, scanning and analyzing the millions of pieces of junk mail sent every day) as a good first step in the right direction. But the real solution is to hire a visionary data scientist. Talented data scientists leverage data that everybody sees; visionary data scientists leverage data that nobody sees. Scenario 7: High Crime Rates Caused by Gasoline Lead. Really? Here is a typical example of a study you may read in respected news outlets, yet the analytics used to support the author’s opinion are poor.

This occurs because the environment is not flexible enough to do smart type detection and casting. For example, have you ever dealt with a date that was recorded as an integer in one row and mmddyy (month, day, and year, as in 100516 for October 5, 2016) in the next row? Or perhaps you’ve had to deal with a comma inside a data field value that screws up your CSV file? I’ve received many data files that had a data corruption rate above 5 percent. Sometimes two different types of values (advertiser keyword versus user query, or referral domain versus ad network domain) are stored in the same field.

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