## Data Mining and Statistical Analysis Using SQL by Robert P. Trueblood, John N. Lovett Jr. (auth.)

By Robert P. Trueblood, John N. Lovett Jr. (auth.)

This booklet isn't just one other theoretical textual content approximately information or information mining. No, as an alternative it really is aimed for database directors who are looking to use SQL or bolster their realizing of information to aid information mining and buyer dating administration analytics.

Each bankruptcy is self-contained, with examples adapted to genuine enterprise purposes. and every research method should be expressed in a mathematical layout for coding as both a database question or a visible easy technique utilizing SQL. bankruptcy contents contain formulation, graphs, charts, tables, facts mining options, and more!

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**Extra resources for Data Mining and Statistical Analysis Using SQL**

**Example text**

Next loop is used to execute a query to insert a row into the Histogram Data table. Each time a row is appended, the value of the counter (Price) is automatically incremented by Cntlnc, and a zero value is assigned to Number of Occurrences field. After executing the loop, the Histogram Data table contains a row for each price value in the range with an occurrence value of zero. For our example, there are 26 rows. Finally, a query is executed to update the Histogram Data table by replacing the zero value for Number of Occurrences in the Histogram Data table with the corresponding value in the Bar Heights table by matching the Price values between the two tables.

It starts low on the left, rises to a high point near the middle of its range, then tapers off again. If a smooth line is drawn through the tops of the bars, it almost looks like a bell shape. This is very important, and provides an introduction to the concepts presented in the next chapter. Now let's move on to another example that illustrates several statistical techniques presented in this chapter. A Moment of Kurtosis Statisticians have developed a language all their own. We talked about the mean and variance as measures of central tendency and dispersion.

Maybe we want to compare it to the rate of inflation to see if the salary has kept up. The annual salary figures are, let's suppose, the ones shown below. 0807- 1] x 100%). 89%. Logic would tell us to add these four results and divide by four to obtain the average per year increase. But this would be incorrect. The arithmetic mean always overestimates the average rate of change, because it is an additive rather than a multiplicative relationship. 45% increase 17 Chapter2 If we apply this percent increase to the first year's salary, then apply it progressively to each result obtained, we hit $49,300 at the end.