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Formatting won t do anything to a number, other than change the way it looks Coloring a negative number red or coupling it with a currency symbol may tweak the data informatively, but neither tweak will change the value that number represents Coif your hair in dreadlocks or a Mohawk; either way, it s still you In the pre-2007 releases of Excel formatting options were assigned to their own, separate heading on the Menu bar, and as luck would have it, that command was called Format It s noteworthy, however, that that term has been banished from the Tab and Group names in 2010, although you will find a Format button in the Cells Group on the Home tab; instead, most of the standard formatting arsenal is now stockpiled in the Home tab groups, however its buttons are named.

, by replacing the 10 in the product with 100) will generate an arithmetic overflow error because the result of the product expression is too large to represent as a decimal data type The script generating this listing is available as Ch04Decimalsql Large Decimal value Number of digits --------------------------------------- ---------------------10000000000000000000000000000000000000 38.

@PersistenceCapable(identityType = IdentityType.APPLICATION) public class TimeEntryEntity { @PrimaryKey @Persistent(valueStrategy = IdGeneratorStrategy.IDENTITY)

real and float data types can represent values approximately instead of precisely, as with integer data types, such as int and bigint. real and float data types have a null scale setting because all values have a floating decimal point. The real and float data types follow an IEEE (Institute of Electrical and Electronic Engineers) specification for approximate data types. Because approximate values are subject to rounding error, they are not suitable for financial operations or other cases where precise results are required.

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Indeed, the great majority of buttons in that tab can properly be called formatting in operation..

Approximate data types are best suited for scenarios when you are working with engineering or scientific data values. Avoid using real and float data types whenever you need precise results, such as in currency calculations.

There are three advantages for approximate data types relative to precise data types Some number values without a precise representation, such as 1 divided by 3, can only be represented approximately (you can t represent them precisely) In exchange for not representing values precisely, approximate data types can represent a wider range of values than corresponding integer data types Approximate data types save storage space, compared to precise data types, because they have a smaller length Here are the specifications for the real and float data types: real range of values: 340E + 38 through 340E + 38 precision: from 1 to 7 scale: Null length: 4 float range of values: 179E + 308 through 179E + 308 precision: from 1 to 15 scale: Null length: 8 The following script helps to contrast the float data type from the decimal data type.

And as you proceed you ll also need to remind yourself that formatting in Excel 2010 avails itself of live previewing, meaning that when you rest your mouse over a formatting possibility say, a change in font the cells you ve selected for that change will immediately display the change in preview form before you actually click to implement the change. Decide against it Just pull your mouse back or click elsewhere. Bear in mind as well as that the many of these formatting buttons perform commands that are also stored in a kind of catch-all dialog box called Format Cells; and if you think back to 1 and that Dialog Launcher arrow (Figure 4 1):

Notice that the script follows the same general design as the preceding script for computing a large decimal value, but this script uses a float data type instead of a decimal data type As a consequence, you can compute larger values, such as those with 39 digits By computing with a multiple of 100 instead of a multiple of 10, the following script generates a value that is an order of magnitude larger than in the preceding sample for the decimal data type SET NOCOUNT ON DECLARE @float1 float SET @float1 = CAST(POWER(10,9) as float) SELECT @float1 * @float1 * @float1 * @float1 * 100 AS 'Large Float value', FLOOR(LOG10(@float1 * @float1 * @float1 * @float1 * 100) + 1) AS 'Number of digits' The following listing confirms the operation of the preceding script.

private Long id; @Persistent private String email; @Persistent private String project; @Persistent private String milestone; @Persistent private Boolean billable; @Persistent private Date date; @Persistent private double hours; public Long getId() { return id; } public void setId(Long id) { this.id = id; } public String getEmail() { return email; } public void setEmail(String email) { this.email = email; } public String getProject() { return project; } public void setProject(String project) { this.project = project; } public String getMilestone() { return milestone; }

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