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#endregion /// <summary> /// CodeActivity handler for looking up an account /// </summary> /// <param name="sender"></param> /// <param name="e"></param> private void codeLookupAccount_ExecuteCode(object sender, EventArgs e) { //simulate an account lookup switch (AccountId) { case 1001: isAccountVerified = true; availableCredit = 100.00M; break; case 2002: isAccountVerified = true; availableCredit = 500.00M; break; default: isAccountVerified = false; availableCredit = 0; break; } } /// <summary> /// Identify the item to order based on the SalesItemId /// </summary> /// <param name="sender"></param> /// <param name="e"></param> private void codeLookupItem_ExecuteCode(object sender, EventArgs e) { //simulate an item lookup to retrieve the sales amount switch (SalesItemId) { case 501: isSalesItemVerified = true; salesItemAmount = 59.95M; break; case 502: isSalesItemVerified = true; salesItemAmount = 199.99M; break; default: isSalesItemVerified = false; salesItemAmount = 0; break; } }

Figure 6-7. A Silverlight bar chart visualization can be used to effectively compare parts that constitute a whole. Take a minute and compare Figure 6-6 and Figure 6-7. Which one do you think your users would prefer to use for visual analysis In my opinion, the bar chart visualization provides a cleaner and simpler view into the data. Furthermore, I believe that analytical insight can be reached faster from the bar chart visualization. Following is a list of advantages that you may have picked up on that distinguish the analytical value of the two visualizations. Labels are easily attached to the bar chart. This requires no additional visual cues. A user does not have to look to a legend, read the color, and then locate the color on the pie chart. Colors in bar visualizations are optional. There is no need to provide additional colors for the bar chart in Figure 6-7 (unless additional series are presented). In the pie chart visualization, an entire color palette is required. Very small bars are more visible and legible than very small pie slices. Scale can be dynamically set. This can make very small values appear more prominently in visualization. Note that in Figure 6-7, the scale ends at 35 percent. However, in a pie chart visualization, 100 percent of the pie needs to be displayed.

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This recipe allows you to change a tab-delimited file into a CSV file. Commas and quotes in the fields are escaped already; however, if they aren t escaped yet, expressions in the Variations section of this recipe will show you how to escape the quotes and wrap fields that contain commas.

/// <summary> /// Process a validated order /// </summary> /// <param name="sender"></param> /// <param name="e"></param> private void codeEnterOrder_ExecuteCode(object sender, EventArgs e) { //simulate the order Console.WriteLine( "Order entered for account {0}, Item id {1} for {2}", AccountId, SalesItemId, salesItemAmount); } /// <summary> /// The AccountId is invalid /// </summary> /// <param name="sender"></param> /// <param name="e"></param> private void codeBadAccountId_ExecuteCode(object sender, EventArgs e) { Console.WriteLine("AccountId {0} is invalid", AccountId); } /// <summary> /// The Item is invalid or the account has insufficient credit /// </summary> /// <param name="sender"></param> /// <param name="e"></param> private void codeInsufficientCredit_ExecuteCode(object sender, EventArgs e) { Console.WriteLine( "Item {0} invalid or AccountId {1} credit of {2} insufficient", SalesItemId, AccountId, availableCredit); } } }

In rare situations where the part of the whole is over 100 percent, bar visualizations excel over pie chart visualizations. For example, visualizing a budget that is 20 percent over previous estimates (120 percent) can easily be done in bar chart visualizations. Ordering the items in ascending or descending order can make analysis even easier.

Now that the workflow is fully implemented, you can turn your attention to the code that executes it. Since this is a console application, the project template generates boilerplate code for the Program.cs file to host the workflow runtime and execute the workflow. However, to test this application, you ll want to execute the workflow multiple times with different input parameters each time. To facilitate this, the standard Program.cs that comes with the project template requires a few adjustments. The revised code is shown in Listing 3-3. Listing 3-3. Complete Program.cs File #region Using directives using System; using System.Collections.Generic; using System.Threading;

The key point to remember in part-to-whole analysis is to provide an easy way for the user to visually compare items and deliver insight on the comparison. Pie charts are a good tool to use when you know the individual slices number less than about nine, there are no very small values, colors can be used, and the whole adds up to 100 percent exactly. Providing a list view of the data can mitigate some of the problems with pie chart visualizations. However, if the dynamic data does not meet the criteria for a pie chart, bar visualizations are a great alternative for part-to-whole analysis. Obviously, there are other visualizations that are good for comparing items as well. For example, scatter plots can be used effectively to compare parts of a whole.

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