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Variable Analysis with Scatterplots
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The Scatterplot 2 worksheet in the 1103_ScatterXY.xlsx workbook contains a half-finished solution . As yet, no one has decided whether this chart will be printed only or also will be used for presentation purposes .
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Figure 11-8 24 points or fewer from 9,344 pieces of data
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With reference to Figure 11-8, let me provide an overview before explaining the composition of the formulas used .
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Range A: The master data in the range D19:G2355 contains data collated from a total of 2,336 hospital patients . It concerns interdependencies between the length of stay (in days) and the detection of possible infections (three different types) attributable to long stays in hospital . In the survey conducted, patients spent three to 10 days in hospital . This length of stay is also the class division here . The master data is calculated at the top of the worksheet in two stages and then shown in the chart . Range B: The primary spreadsheet in the range C4:G16 (surrounded by a green border) summarizes the absolute values for the master data . A SpinButton makes this table dynamic . If the output value for the control is 11 in the cell rS2.ClassSel (C6), all of the class numbers are available in column C . Otherwise, only one is available while the others are set to zero . Additional calculation results are shown only in the row whose class number is not zero . As mentioned earlier, this is a half-finished solution . If this solution were to be used in a presentation, the SpinButton would not be a very effective control for this
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purpose and would be replaced with a ComboBox (and the possibility of having a specific class selection) . A formula in C4 composes the text for the chart heading: the class that is set and the associated number of patients .
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Range C: The secondary spreadsheet (surrounded by a blue border) in the range I4:L16 converts the absolute values of the primary spreadsheet into a percentage distribution . At the same time, the formulas respond to the output values of the three column-specific CheckBoxes . The result is either a number, which is then shown in the chart as a data point, or the error value #N/A . This approach is preferable because it ensures that the chart contains only those values that the user wants to see there . The formulas in J8:L8 are created in such a way that they display or suppress the legend label for the chart and respond to the activation or deactivation of each CheckBox . The linked cells for the three controls are located in row 2 . Range D: Depending on the number of points, differentiation levels, and chart dimensions, a XY (Scatter) chart can very quickly become confusing and unclear . While this might be acceptable for a printed publication sometimes (if the reader wants to or needs to, he or she will take the time to differentiate between the data points), it is unusable for a presentation . Therefore, the sample solution presented here facilitates an extremely versatile and dynamic presentation: from viewing just one data point (or no points at all) in several variations to viewing all of the data points . The controls determine the content of the chart, as follows:
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You can use the SpinButton to decide which class is shown (one, a select few, or all) . You can use the CheckBoxes to select which of the three value groups (infection types) are drawn on the vertical value axis (Y) . Because you can use a combination of both, this ensures a clearly arranged presentation in every respect (and in different view orientations) .
Let's now discuss the most important formulas in the model . Familiarize yourself with the range names and their positions before taking a closer look . As always, let's look at the formula and then share a brief explanation . The formula:
D2 =IF(rS2.ClassSel<=10, OFFSET(rS2.Node,rS2.ClassSel-2,1), COUNTA(rS2.StayLength))
Either a number is read from the primary spreadsheet or the total number is calculated from the range rS2.L_StayLength (see also Figure 11-8) as follows:
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