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wiki:pivotdescription [2014/02/10 15:17] tony |
wiki:pivotdescription [2014/02/10 15:32] tony |
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| To break down the dataset into categories and country, you just have to configure the x and y Dimentions: \\ | To break down the dataset into categories and country, you just have to configure the x and y Dimentions: \\ | ||
| + | <code javascript> | ||
| xDimension : [{ | xDimension : [{ | ||
| dataName: 'CategoryName' | dataName: 'CategoryName' | ||
| Line 45: | Line 46: | ||
| dataName: 'Country' | dataName: 'Country' | ||
| }] | }] | ||
| + | </code> | ||
| + | Multiple levels are supported, so you can just specify them in the y and x Dimensions. \\ | ||
| + | Grouping the rows and/or columns is done automatically when two or more levels are set in \\ | ||
| + | xDimension and/or yDimension. | ||
| + | |||
| + | Now that you broke down the dataset on the y and x Dimension, it’s time to aggregate \\ | ||
| + | the cell values. Several kinds of aggregations are available including: \\ | ||
| + | sum, min, max, count etc. Future release will provide your own aggregation function. | ||
| + | |||
| + | <code javascript> | ||
| + | |||
| + | aggregates : [{ | ||
| + | member : 'Price', | ||
| + | aggregator : 'sum', | ||
| + | width:50, | ||
| + | label:'Sum' | ||
| + | },{ | ||
| + | member : 'Quantity', | ||
| + | aggregator : 'count', | ||
| + | width:50, | ||
| + | label: 'Count' | ||
| + | }] | ||
| + | </code> | ||
