By Robert P. Trueblood, John N. Lovett Jr. (auth.)
This ebook isn't just one other theoretical textual content approximately facts or information mining. No, in its place it really is aimed for database directors who are looking to use SQL or bolster their realizing of facts to help facts mining and buyer courting administration analytics.
Each bankruptcy is self-contained, with examples adapted to actual company purposes. and every research strategy can be expressed in a mathematical layout for coding as both a database question or a visible easy approach utilizing SQL. bankruptcy contents contain formulation, graphs, charts, tables, information mining thoughts, and more!
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Additional info for Data Mining and Statistical Analysis Using SQL
Click the double arrowhead button to choose both fields. Click Next. 4. For the chart type select the vertical bar chart. Click Next. 30 Measures of Central Tendency and Dispersion 5. To lay out the data on the chart, if not already shown, drag Price to the x-axis and drag Number of Occurrences to they-axis. Double click they-axis data to bring up the Summarize window. Choose None and click OK. Click Next. 6. Click Finish and the chart appears. The histogram should look similar to the one in Figure 2-l.
Select the macro named "Run_Gen_Histogram_Data" and dick OK. Once you click OK. Access ll'ill run the macro that in turn invokes the Visual Baste function Gen_HiHogram_Data. Now that we have the data for drawing the histogram, we create a chart on a Microsoft Access 2000 fonn. Use the following steps to create the histogram via the Chart Wizard: TIP Some installations of Access do 110t have the Chart W'zzard installed. To in tall the Chart Wizard, rerun Micro. oft Access or Microsoft Office Sewp program.
The height of each vertical line of dots (which can be converted to a bar as shown in Figure 2-1) represents the number of times that particular value occurred in the data (its frequency), and can be read directly from the vertical scale. Table 2-8. Stock Price Data WEEK DAY OF WEEK Monday Tuesday Wednesday Thursday Friday 21 29 26 29 29 2 29 24 23 20 23 3 20 29 20 23 22 4 21 21 20 22 21 5 17 20 19 20 16 6 13 22 20 20 22 7 17 19 19 20 18 8 20 18 17 17 18 9 22 20 19 17 19 10 20 18 19 18 18 11 17 15 25 20 25 12 4 22 20 16 19 13 14 17 20 20 12 14 17 18 19 19 22 15 19 19 19 18 19 23 Chapter2 16 16 "'01 14 ~ 12 ...