You can see that the average Arts & Photography Sales is $1400. Until now, the values in the PivotTable have been displayed as the sum of the Sales Amount field, but you can use other functions.įor example, right-click a cell in the Grand Total column, point to Summarize Values By (there are a lot of options, such as Min and Max), click an option (such as Average), and now the values in the PivotTable are summarized as averages. To show only the three genres with the highest Grand Totals, right-click a Genre, point to Filter, click Top 10- I know, clicking Top 10 to see the Top 3 doesn't seem to make sense, but look.Ĭhange 10 to 3, click OK, and the top three genres are displayed. Right-click them (Genres in this example), point to Filter, click Keep Only Selected Items, and only the selected Genres are displayed. These can be text or dates under Row Labels. To view only the items in your PivotTable that you want, you can select the cells that contain the items. Slicers are one of the best ways to filter your PivotTable data.įor information about using slicers, see the 4th video in this course- Use slicers, timelines, and PivotCharts to analyze your PivotTable data. To remove the filter, click the down arrow again, it now looks like a funnel because a filter is applied. And only genres of books that start with "c" are displayed. Type your criteria, such as the letter c, and click OK.
Since we clicked the down-arrow for a label, point to Label Filters.Ĭlick an option, such as Begins With.
It helps you focus on the data you want to analyze.Ĭlick the down-arrow next to Row Labels. On the Quick Access Toolbar, click Undo, to undo the sort.
Right-click a value, such as the Grand Total for the Arts & Photography genre, point to Sort, click Sort Largest to Smallest, and the Genres are sorted from the largest to smallest Grand Total Sales amounts. One of the most common ways is sorting, it helps you quickly see trends in your data.
#Microsoft office price query filter code#
Returns true for customers with the string RED in their location code starting as position 5.You can analyze PivotTable data in many ways. $filter=substring(Location_Code, 5) eq 'RED' Query on Customer service. $filter=replace(City, 'Miami', 'Tampa') eq 'CODERED' Returns customer records for customers having a location code beginning with the string BLUE. $filter=indexof(Location_Code, 'BLUE') eq 0 Query on Customer service. Returns customer records for customers with names containing the string “urn”. $filter=contains(Name, 'urn') Query on Customer service. Returns all customers names beginning with 'S'. $filter=startswith(Name, 'S') Query on Customer service. Returns all customers with VAT_Bus_Posting_Group values that end in 'RT'. $filter=endswith(VAT_Bus_Posting_Group,'RT') Query on Customer service. Returns entry numbers up to and including 610. $filter=Entry_No le 610 Query on GLEntry service. $filter=Entry_No ge 610 Query on GLEntry service. Returns entry numbers that are less than 610. $filter=Entry_No lt 610 Query on GLEntry service. However, you can't use OR operators to apply filters on two different fields. Alert: You can use OR operators to apply different filters on the same field. Returns customers in Spain and the United States. $filter= Country_Region_Code eq 'ES' or Country_Region_Code eq 'US' Query on Customer service. Returns customers in Spain where Payment_Terms_Code= 14 DAYS. $filter=Country_Region_Code eq 'ES' and Payment_Terms_Code eq '14 DAYS' Query on Customer service.
$filter=Entry_No gt 610 and Entry_No lt 615 Query on GLEntry service. This is because filters that don't have equivalent AL expressions are processed on the Business Central Server tier, and filters that have equivalent AL expressions are processed on the Business Central database tier. Filters that don't have equivalent AL expressions might take longer to process compared to filters that have equivalent AL expressions.
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