1. PivotTable An Essential Learning

2. Framework of PivotTable

3. Framework of PivotTable If we can understand the framework of PivotTable, we can really understand its flexibility and, indeed, its ultimate functionality, and how it helps us. A pivot table is composed of four areas. - Values Area - Row Area - Column Area - Report Filter Area

4. Framework of PivotTable Values Area The values area as shown above in rectangle. It is a rectangular area below and to the right of the headings. In this example, the values area contains a sum of the revenue field & sum of Credit Note

5. Explanation Values area The values area is the area that calculates. This area is required to have at least one field and one calculation on that field in it. The data fields that you drop here are those that you want to measure or calculate. The values area might include Sum of Revenue, Count of Client, and Average Credit note value etc.

6. Explanation Values area It is also possible to have the same field dropped in the values area twice, but with different calculations. This field will show the Sum / Count / Average and so on of values.

7. Explanation Values area Video

8. Explanation Row Area Row Area The row area as shown above in rectangle. It is contains the headings that go down the left side of the pivot table.

9. Explanation Row Area Dropping a field into the row area displays the unique values from that field down the rows of the left side of the pivot table. The row area typically has at least one field, although it is possible to have no fields. The types of data fields that you would drop here Client and % of Credit so on.

10. Explanation Column Area As shown above in rectangle, the month field is in the column area.

11. Explanation Column Area The column area is composed of headings that stretch across the top of columns in the pivot table. Dropping fields into the column area would display your items in column-oriented perspective.

12. Explanation Column Area The column area is ideal to show trending over time. The types of data fields that you would drop here include those you want to trend or show side by sidefor example here months.

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