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One of the other options of all the different free-flowing chart types, such as the pie and polar charts, is that they can be moved or rotated into different views This is very useful if you are going to work with 25D or 3D shapes At this point, you likely are starting to get a feel for what the initial dashboard process would look like If we were to incorporate several of these charts together into one dashboard, we could start blueprinting what we might want to present to the customer I ve taken some of these chart types and used a simple table to hold their format a bit more This takes about 15 20 minutes and lays the foundation for a dashboard An example of the initial configuration and the result is shown in the next illustrations Although this example
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is limited to six charts, it is sufficient to help you understand the overall dashboard setup and architecture I m hoping that this will pique your interest for what is in the next chapter once we really get into formatting and designing your dashboards
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Class 2 chart types include scatter charts, time scatter charts, histograms, and heatmaps They are not necessarily more complex than the class 1 chart types but are more specific to certain situations than the class 1 chart types Thus, in the case of class 2 chart types, we have a more defined set of data to use for building these charts In this case, you build the table on which a chart type of class 2 is based as follows: The first data row contains the values to be entered on the X axis The remaining data rows contain the Y values These data rows are converted into data series The number of data series in the chart is the total number of data rows minus 1 The X value of a data point is always from the first data row The Y value of a data point is from one of the remaining data rows, depending on the data series to which the data point belongs The data providers for histograms and heatmaps need a different structure; the requirements for these are described in the corresponding sections for these chart types
Scatter Chart In a scatter chart, either the relationship between numeric values is displayed
in several data series or two groups of numbers are entered as a row of XY coordinates This chart type displays irregular intervals (clusters) and is normally used for scientific data so using these types of charts for business purposes requires a unique situation Both axes of a scatter chart are value axes, so we would not necessarily use the scatter chart type to display something with a characteristic like Product Groups down the rows since this would not look correct once displayed In other chart types, the X axis is used to display categories or groups of characteristics The data that is to be used for those chart types is organized by month and key figures The information used to build a scatter chart type is shown in the following illustration
Quarter Calendar Year 12003 Billed Quantity Net Sales Planned Sales 170,250,32 742,34430 756,136 22003 171,406,182 747,32980 762,019 32003 172,765,649 753,02196 754,590 42003 171,685,760 748,07847 744,2760
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The resulting chart is more of a flexible line chart type Since both axes are values, it s important to be aware of the appropriate scaling factor for the particular values The final result is shown in the next illustration
6:
D e v e l o p i n g E ff e c t i v e We b R e p o r t s
780000 Net/Planned Sales in EUR 760000 740000 720000 700000 170000000
171000000 171500000 172000000 Billed Quantity in Pieces Net Sales
Planned Sales
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You can fill the areas between two points of a data series, almost as if the chart were an area chart To do so, choose Scatter | Filled
Time Scatter Chart A subset of the scatter chart is the time scatter chart The X value can be a date or time The basic Chart Designer configuration screen for this chart type, shown next, gives you a hint that it is not meant to be used to show information by products or customers; rather, it is used for tracking and data analysis in a more value-driven approach Notice the formatted Date approach to the X axis
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