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The List( ) function accepts one or more fields (separated by semicolons) and returns a carriagereturn separated list of all values it finds there on the current record (if the supplied fields are in the current table) or on all related records (if the supplied fields are sourced from a related TO). If the List( ) argument includes only one field, the function will look for multiple instances of the field either in the current record (if it s a local field) or in multiple related records (if it comes from another TO) and will list any values it finds, one per line. If, in the Inventory solution, you wanted to compose an e-mail confirming the contents of an order, you would need a list of the order s item stock numbers to include in the e-mail. From the Order record, the expression List(OrderLines::ItemID) returns a list of stock numbers on the current order. For example: n ITM00001 n ITM00003 n ITM00002

c a l l tx-one-byte ; t r a n s m i t SP ; i n i t i a l i z e t h e l o o p i n d e x and mask l o a d i , 06 ;addr used as loop i n d e x load s 7 , 20 ; s e t mask t o 0 0 1 0 ~ 0 0 0 0 tx-loop : ;l o o p b o d y l o a d t x - d a t a , ASCII-1 ;load d e f a u l t ASCII 1 t e s t s 7 , s4 ;c h e c k t h e b i t jump n z , t x - 0 1 ;the bit is 1 l o a d t x - d a t a , ASCII-0; ; t h e b i t i s 0 , load ASCII 0 tx-01: c a l l tx-one-byte ; t r a n s m i t the ASCII 1 or 0 ; u p d a t e l o o p i n d e x and mask ;s h i f t mask b i t srO s 7 ;dec loop index sub i , 01 jump n z , t x - l o o p ;loop not reach 0 yet ;done with l o o p , send ASCII space l o a d t x - d a t a , ASCII-SP ; l o a d A S C I I SP c a l l tx-one-byte ; t r a n s m i t SP return

has its own set of functions and peculiarities. The analyses presented in this chapter do not rely on any one particular database s methods for doing things; instead, the analyses offer an approach that works broadly on many systems. The syntax is the syntax for SQL Server. Appendix A provides equivalent syntax for other databases. The chapter starts with an overview of date and time data types in SQL and basic types of questions to ask about such data. It continues by looking at other columns and how their values change over time, with tips on how to do yearover-year comparisons. The difference between two dates represents duration; durations tie together events for each customer over a span of time. Analyzing data over time introduces new questions, so the chapter includes forays into questions suggested by the time-based analysis. The chapter finishes with two useful examples. The first is determining the number of customers active at a given point in time. The second relies on simple animations in Excel to visualize changes in durations over time. After all, animating charts incorporates the time dimension directly into the presentation of the results. And, such animations can be quite powerful, persuasive, and timely.

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In addition to the Magnifier Tool, the new keyboard shortcuts, and the Zoom Control (PC only), the Magnification commands, shown in Figure 3-3, are also available to adjust your screen view. On both the Mac and PC, the Magnification commands are accessed from the Menu Bar, View Magnification.

mCircle.filters = [dsfInstance]; dsfInstance.distance = 100;