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Now that you ve finished working on the pivot chart, you ll return to the pivot table on which the pivot chart is based to see the effect that these changes to the pivot chart have had: 1. Activate the Pivot_Regions worksheet to return to the pivot table. 2. The City field is in the Column labels area of the PivotTable Field List pane and in the pivot table layout on the worksheet because it was added to the Legend Fields (Series) area of the pivot chart. 3. The ProdType and Region fields are in the Row Labels area because they were both in the Axis Fields (Categories) area of the pivot chart. The pivot table and pivot chart are connected, and the changes you make to one will affect the other. In some cases, this won t be a problem, and you can lay out the pivot table and pivot chart as you require. However, sometimes you ve spent a considerable amount of time setting up a pivot table or pivot chart and want it to stay in that layout for your weekly or monthly reports. In these situations, you can create a second pivot table from the source data and create a pivot chart from that pivot table. Use the first pivot table for your printed reports, and when you make changes to the pivot chart, it will affect the second pivot table, which isn t used for your printed reports.

Figure 2-26. DSL Grammar mode with DSL input and M Graph output views List mode is used internally by some Intellipad features to display a buffer showing a list whose items can be clicked to navigate to the selected destination buffer. I have already briefly touched on the M Graph mode, used in conjunction with the DSL Grammar mode. M mode is used for developing M code. As with the DSL Grammar mode, M mode provides syntax colorization, error marking of syntax errors, and the T-SQL preview mode. Project mode provides support for developing projects. These projects will normally consist of multiple M or DSL grammar (.mg) files and can be managed and edited in Visual Studio with the Visual Studio M language plug-in. Python mode supports development of Python code. As with M mode, Python mode provides syntax colorization and error flagging for syntactically incorrect Python. For test metric purposes, code coverage is provided if you launch Intellipad from the command line with the /coverage option. Table mode is used primarily in the Errors pane (when the Errors pane is enabled) to display a list of errors. Using this mode to display errors enables the errors to be sorted on any column. T-SQL 1.1 mode provides a view of the T-SQL code generated by M code. To show how this works, let s try a small exercise.

Note The create_table method creates an id column by default. When creating the books_tags join table, we are telling the create_table command not to add an id column by setting the id parameter to false.

The sales manager has asked you to create another report for the sales meetings. In this chart, you should show the monthly quantities of bars sold in 2006 and 2007. At the meeting, this chart can show whether bar sales are going up or down and will show the strong and weak sales months for each year. When you created the first chart, you used the F11 key to create a default chart. This time, you ll use a Ribbon command to create the chart so you ll have more control over the chart setup. You don t want to affect the existing pivot chart, so you ll create a copy of the pivot table and base the new chart on the pivot table copy. First you ll copy the pivot table, and then you ll change its layout to include the fields you ll need in the new pivot chart: 1. Make a copy of the Pivot_Regions worksheet, and rename the copied worksheet Pivot_Years. 2. In the pivot table on the Pivot_Years worksheet, change the pivot table layout so OrderDate is in the Row Labels area, Qty is in the Values area, and ProdType is in the Report Filter area. 3. In the report filter, select Bars so only its data is summarized in the pivot table. 4. In the Row Labels area, group the OrderDate field by Years and Months. By grouping the dates by year, you will be able to show the years separately in the pivot chart.

Now, run the migrations by executing the following command: rake db:migrate You should see the command run without errors.

Now that the pivot table layout includes the fields you need, you can create the pivot chart. 1. Select a cell in the pivot table, and on the Ribbon, under the PivotTable Tools tab, click the Options tab. 2. In the Tools group, click PivotChart (see Figure 11-18).