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have several programmatic alternatives at this point, the details of which are beyond the scope of this book. Most begin with exporting the SharePoint list to a table with a different name. Then you can update the original table from the second table using SQL statements. If you prefer not to work with SQL, you can modify the connection properties of each object that uses the original table to point to the new table. The risk here of missing a reference to the original table may be high depending on the complexity of your database.

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Suppose you have two tables called Table1 and Table2, in which Table2 is a more recent copy of Table1 and has changes in it that Table1 does not have. How can you programmatically synchronize the changes from Table2 back to Table1 From within Access, you can quickly update Table1 to look exactly like Table2 if you make a few assumptions. First, assume that if Table1 and Table2 use any other related tables for lookup values, nothing in those tables has changed that would require those tables to be updated first. Second, assume that Table1 uses a unique ID field consisting of a sequential number and that the value has no additional meaning other than to uniquely define the rows of the table. The first step updates all of the fields in Table1 with values from Table2 where the unique ID field in Table1 equals Table2. The complexity of this SQL UPDATE expression comes from the SET clause, which must include an expression for every field in the table. UPDATE Table1 INNER JOIN Table2 ON Table1.ID = Table2.ID SET Table1.[Field1] = [Table2].[Field1], Table1.[Field2] = [Table2].[Field2], Table1.[Field3] = [Table2].[Field3]; Next, you eliminate any records in Table1 that do not have a corresponding ID value in Table2. DELETE * FROM Table1 WHERE Table1.ID NOT IN (SELECT Table2.ID FROM Table2); Finally, you add any records from Table2 that do not exist in Table1. INSERT INTO Table1 SELECT * FROM Table2 WHERE Table2.ID NOT IN (SELECT Table1.ID FROM Table1); At this point, the data in Table1 should exactly match the data in Table2.

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Choose to make it filtered by selected country. Your pivot table should look like Figure 11-9.

Figure 3-8. We ve set the depth for the asteroid object. Now would seem like a good time to check that everything has gone according to plan so far. However, before we can do that we must create a room with some instances of moons and asteroids in it. Creating a room with moon and asteroid instances: 1. Select Create Background from the Resources menu. 2. Call the background background_main, and click the Load Background button. Select the Background.bmp image from the Resources/03 folder on the CD. 3. Click OK to close the Background Properties form. 4. Select Create Room from the Resources menu. If the whole room isn t visible, then enlarge the window.

Tip To change the Access table used by a form, open the Property Sheet for the form. Click the Data tab

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Figure 11-9. My PivotTable Note that the pivot chart has been updating itself and is showing you a graphical view of the data you see in the pivot table. Thus, the pivot chart and pivot table are connected with each other. Format the chart a bit, like choosing to show a line graph instead of a bar chart, and your pivot chart looks like Figure 11-10.

5. Select the settings tab and call the room room_first. Provide an appropriate caption for the room (for example Galactic Mail ). 6. Select the backgrounds tab. Click the menu icon to the right of where it says <no background> and select the background from the pop-up menu. 7. Select the objects tab and place a number of asteroids and moons in the room. (Remember that you can choose the object to place by clicking where it says Object to add with left mouse ). The Room Properties form should now look like Figure 3-9. 8. Close the Room Properties form by clicking the green checkmark in the top-left corner.

and then locate the Record Source property. Open the drop-down list for this field and select the new table.

Figure 11-10. My PivotChart Next, add a column next to the pivot table and give it a heading of "Difference from Avg.". Give it a formula of "=B4-AVERAGE(B4:B15)" and choose to repeat this formula on all available cells. Also, apply conditional formatting to this cell, so it graphically shows you all cities have freight less than average and which cities have freight greater than average. The pivot table now looks like Figure 11-11.

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