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Next, add the new Tags field to the view file app/views/admin/book/_form.rhtml, right after the Title field: <p> <label for="tags">Tags</label><br/> <input type="text" id="tags" autocomplete="off" size="50" name="tags" value=" <%= @book.tags.collect{|tag| tag.name }.join(",") if @book.tags -%>"> </p> <div id="tags_update"></div> <script type="text/javascript" language="javascript" charset="utf-8"> // <![CDATA[ new Autocompleter.Local('tags','tags_update', new Array(<%= @tags.collect{|tag| "\"" + tag.name + "\"" }.join(",") %>), { tokens: new Array(',','\n'), fullSearch: true, partialSearch: true }); // ]]> </script> Notice that we specify the tag separator to be a comma with the tokens parameter. This is an array and can contain more than one separator. For example, it could also contain the newline character \n. Also notice that the tags will be shown in the tags_update div.

3. Navigate to your Page.xaml file within the Ch11_CoolDownButton project. First add a new xmlns to the UserControl definition, and then add an instance of your control,

Axis titles let you apply identifying labels to either the Vertical and/or the Horizontal Axis (Figure 551_):

You can now try to access the page with your browser. It should generate the following error, as the view expects to find the tags instance variable:

as follows:

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Figure 5 51. Knowing the score(s): An axis label enters the chart Note that the Scores label has barged into the chart s territory, shrinking it a bit. The Legend option works similarly; it deposits the legend to one of the locations suggested by the drop-down menu. The Data Labels option does more than position the label it supplies information about the chart s data, by posting the actual number associated with each data point. For example (Figure 5-52):

You have a nil object when you didn't expect it!

Figure 5 52. Garnishing the slices, with information about the data points Data Labels supplement the chart with the source data used to generate it, adding an instructive touch to the graphical picture. (Note: you can initiate the Data Labels command by clicking anywhere on

<UserControl x:Class="Ch11_CoolDownButton.Page" xmlns="http://schemas.microsoft.com/winfx/2006/xaml/presentation" xmlns:x="http://schemas.microsoft.com/winfx/2006/xaml" xmlns:begSL2="clr-namespace:CoolDownButton;assembly=CoolDownButton" Width="400" Height="300">

Fix this by changing the load method in the book controller (app/controllers/admin/ book_controller.rb), as follows: def load_data @authors = Author.find(:all) @publishers = Publisher.find(:all) @tags = Tag.find(:all) end Recall that we use the load_data method to load all authors, publishers, and tags in the new and edit actions. Now, if you open http://localhost:3000/admin/book/new, you should see the new field.

the chart, on any object. As a matter of fact, clicking a data point will turn the data labels on only for the series of which on which you ve clicked, so you re actually better off not clicking directly on the data themselves.) However, data labels can congest the chart if the data points are numerous (Figure 5-53):

<Grid x:Name="LayoutRoot" Background="White"> <begSL2:CoolDownButtonControl CoolDownSeconds="3" Width="150" Height="60" /> </Grid> </UserControl> 4. Run the project. You should see your button. 5. Test the states of your button. When you move the mouse over the button, the

Add a book and type in a few tags, such as Programming, Rails, Ruby. Save the book, and create another book. Type the character R in the Tags field. This time, you should see a list of tags containing both Rails and Ruby.

Figure 5 53. Information overload: An excess of data labels You ll think twice about handing that one to your boss. Remember, though, that you can improve the scenario by recoloring and/or changing the size of the numbers. Take any of the prescribed routes to the chart formatting options, and make the appropriate changes. Be advised, though, that you ll have to click on each data series and make the changes to each series individually. The Data Table option, already portrayed in Figure 5-36, presents all the data giving rise to the chart. It s a greedy object, however, and by implementing this option you may find yourself looking at something like this (Figure 5-54):

border thickness will increase. Click the mouse on the button, and the border will decrease. When you release the mouse button on the button, the border will go back to normal, and the overlay will appear. You can continue to move the mouse over the button, and you will notice that it will not respond to your events until 3 seconds have passed. Figure 11-7 shows the various control states.

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