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Measures are the values that the cube is created to present. They are available in MDX as members of the always present Measures dimension. The Measures dimension has no hierarchies or levels, so each measure is referenced directly from the dimension level as [Measures].[measure name]. If no measure is speci ed for a query, then the cube s default measure is used.



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identify it to the br command line. To do that, add a -x option. For example, to use the second serial port (COM2), add -x /dev/ttyS1 to the br command lines shown following. Here are some examples of the br command.

1 2 ( 1 )/ tan 1 ( )/ ( 1/ 2 2 1) 1

i (t) i (s)dz i (s)





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11: Including Data with Subqueries and CTEs 259 Methods and Locations .................................................................................................................................................................259 Simple Subqueries ......................................................................................................................................................................... 262 Common table expressions ............................................................................................................................................. 264 Using scalar subqueries ...................................................................................................................................................265 Using subqueries as lists .................................................................................................................................................267 Using subqueries as tables ..............................................................................................................................................271 Row constructors ............................................................................................................................................................. 273 All, some, and any ..........................................................................................................................................................274 Correlated Subqueries ................................................................................................................................................................... 276 Correlating in the where clause .....................................................................................................................................276 Correlating a derived table using apply ........................................................................................................................280 Relational Division .........................................................................................................................................................................281 Relational division with a remainder .............................................................................................................................282 Exact relational division ..................................................................................................................................................285 Composable SQL ...........................................................................................................................................................................286 Summary ........................................................................................................................................................................................ 288 12: Aggregating Data 289 Simple Aggregations ...................................................................................................................................................................... 289 Basic aggregations ............................................................................................................................................................ 290 Aggregates, averages, and nulls ...................................................................................................................................... 293 Using aggregate functions within the Query Designer .................................................................................................293 Beginning statistics ...........................................................................................................................................................294 Grouping within a Result Set ...................................................................................................................................................... 295 Simple groupings ............................................................................................................................................................. 296 Grouping sets ...................................................................................................................................................................297 Filtering grouped results .................................................................................................................................................298 Aggravating Queries ...................................................................................................................................................................... 299 Including group by descriptions .................................................................................................................................... 299 Including all group by values ........................................................................................................................................ 301 Nesting aggregations ........................................................................................................................................................303 Including detail descriptions ...........................................................................................................................................304 OLAP in the Park ......................................................................................................................................................................... 306 Rollup subtotals ............................................................................................................................................................... 306 Cube queries .....................................................................................................................................................................

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308 Building Crosstab Queries ............................................................................................................................................................ 309 Pivot method ....................................................................................................................................................................309 Case expression method ..................................................................................................................................................311 Dynamic crosstab queries ............................................................................................................................................... 312 Unpivot .............................................................................................................................................................................313 Cumulative Totals (Running Sums) .............................................................................................................................................314 Correlated subquery solution ..........................................................................................................................................315 T-SQL cursor solution .....................................................................................................................................................315 Multiple assignment variable solution ............................................................................................................................316 Summary ........................................................................................................................................................................................ 317 13: Windowing and Ranking 319 Windowing .....................................................................................................................................................................................319 The Over() clause ............................................................................................................................................................320 Partitioning within the window ..................................................................................................................................... 321.

Whenever a simple keyframe is added to your timeline, a corresponding keyframe is added at the object level This gives you the choice of expanding your object list to view all the properties being animated, or collapsing them to the object level and just seeing the keyframes corresponding to any property change in the object You can edit keyframes in a variety of ways, including deleting them, copying and pasting them, and moving them You can also edit the way that the change takes place from one keyframe to another by choosing Ease In, Ease Out, or Hold Out, as described later in this chapter Here are some ways that you can manipulate keyframes to perform various tasks: n Add a keyframe.

{=LEN(A1)+1-MATCH( ,MID(A1,C1:C12,1),0)}

Select the element that you want to affect in the Objects list, drag the playhead to the time at which you want to add a keyframe, and either change a property of the object, or click the Record Keyframe button n Adjust the ending time and speed of an animation Click and drag a keyframe For example, dragging the ending keyframe to a lower number shortens the time of the animation n Change the starting time of your animation You can drag the playhead to the beginning of the timeline and click the Record Keyframe button Then drag the beginning keyframe to the time at which you want the animation to begin, and move the ending keyframe to the time at which you want the animation to end n Play your animation forward and then backward.

In Step 7, you add header columns by telling Excel to fill cells A1 through F1 with the respective values in the array. Then you tell Excel to AutoFit those columns so that all the data can be seen.

Drag the playhead to the beginning of the timeline, click the Record Keyframe button to add a keyframe, And then drag the keyframe past the ending keyframe The animation plays forward and then backward until it reaches the last keyframe n Loop your animation forever Open the expanders in the Objects list and select the actual property being animated, then right-click on the shaded area on the track, representing the animation, and in the pop-up menu that appears choose Loop Forever Repeat this for every animated property that you want to loop forever n Repeat your animation a specific number of times: Open the expanders in the Objects list and select the actual property being animated, then right-click on its name and choose Edit Repeat Count.

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