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In a list of values, you can use conditional formatting to add data bars to the value cells. This can make it easy to visually compare the list of numbers, to see which months have the smallest numbers, and which months have the largest. Follow these instructions to add data bars to the pivot table.

Color scales, icon sets, and data bars can all be applied simultaneously to the cells. However, using Tip

abort() getAllResponseHeaders() getResponseHeader("header") open("method", "url")



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more than one of the conditional formatting options may add confusion to the pivot table, rather than help illustrate the data, and using a single type is best in most cases.

The current request. Returns all the response headers for the HTTP request as key/value pairs. Returns the string value of the specified header. Sets the stage for a call to the server. The method argument can be either GET, POST, or PUT. The url argument can be relative or absolute. This method includes three optional arguments. Sends the request to the server. Sets the specified header to the supplied value. open() must be called before attempting to set any headers.





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1. In the pivot table, select the value cells you want to format. Don t include the Grand Total value, because you only want to compare the individual months. In the sample file, select cells B4:B9. 2. On the Ribbon, click the Home tab, and then in the Styles group, click Conditional Formatting. 3. In the list of conditional formatting options, click Data Bars, and then click one of the Data Bar options. The Data Bar options are identical, except for the color.

If you find it difficult to see where the bars end, because of the graduated coloring in the data bars, Tip

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The conditional formatting data bars aren t exactly like using a bar chart. The data bars are not zero-based; the shortest data bar represents the lowest value in the formatted data, and the longest bar represents the highest value in the formatted data. If the lowest value is zero, and the highest value is 50, the data bars might look the same as the data bars for data with values that ranged from 500 to 3000, or values from -3000 to -500 (see Figure 4-13). Even if the lowest value is zero, or a negative number, it is represented by a small data bar.

Let s take a closer look at these methods void open(string method, string url, boolean asynch, string username, string password): This method sets up your call to the server This method is meant to be the script-only method of initializing a request It has two required arguments and three optional arguments You are required to supply the specific method you are invoking (GET, POST, or PUT) and the URL of the resource you are calling You may optionally pass a Boolean indicating whether this call is meant to be asynchronous the default is true, which means the request is asynchronous in nature If you pass a false, processing waits until the response returns from the server Since making calls asynchronously is one of the main benefits of using Ajax, setting this parameter to false somewhat defeats the purpose of using the XMLHttpRequest object.

Figure 4-13. Data bars appear the same for different sets of values. In this example, the lowest month is June, with 621 sales, and the highest month is January, with 1277 (see Figure 4-14). Although the lowest number is approximately one half of the highest number, its bar appears to be about one tenth the length of the longest bar. This exaggerates the difference between the values.

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