Flexmonster Software License Agreement (“Agreement”) has been significantly revised and is effective as of September 30, 2024.
The following modifications were made:
The modified version of Flexmonster Software License Agreement is available here.
Downloading, installing, and/or continuing to use Flexmonster Software after September 30, 2024, constitutes Licensee’s acceptance of the terms and conditions of the modified version of Flexmonster Software License Agreement. If Licensee does not agree to any of these terms and conditions, they must cease using Flexmonster Software and must not download, install, use, access, or continue to access Flexmonster Software. By continuing to use Flexmonster Software or renewing the license under License Model or Maintenance after the effective date of any modifications to Agreement, Licensee accepts and agrees to be bound by the terms and conditions of the modified Agreement.
Flexmonster Pivot Charts — is one more option to visualize aggregated data and highlight a particular subset of data.
<template> <button v-on:click="showGrid">Grid</button> <button v-on:click="showColumnChart">Column</button> <button v-on:click="showBarChart">Bar</button> <button v-on:click="showLineChart">Line</button> <button v-on:click="showScatterChart">Scatter</button> <button v-on:click="showPieChart">Pie</button> <button v-on:click="showColumnLineChart">Combo</button> <button v-on:click="showStackedColumn">Stacked</button> <Pivot ref="pivot" componentFolder="https://cdn.flexmonster.com/" height="500" v-bind:report="report" /> </template> <script> import Pivot from "vue-flexmonster/vue3"; import "flexmonster/flexmonster.css"; export default { name: "PivotComponent", components: { Pivot, }, data() { return { report: { dataSource: { type: "json", filename: "data/demos/pivot-charts-demo-data.json", }, options: { viewType: "charts", chart: { type: "column", }, }, slice: { rows: [ { uniqueName: "Order Date.Month", }, ], columns: [ { uniqueName: "City", filter: { measure: { uniqueName: "Orders", aggregation: "sum", }, query: { top: 5, }, }, }, { uniqueName: "[Measures]", }, ], measures: [ { uniqueName: "Orders", aggregation: "sum", }, ], }, formats: [ { name: "", thousandsSeparator: ",", decimalSeparator: ".", decimalPlaces: 0, }, { name: "currency", currencySymbol: "$", decimalPlaces: 2, }, ], }, }; }, methods: { showGrid() { let pivotReport = this.$refs.pivot.flexmonster.getReport(); pivotReport.slice = { reportFilters: [ { uniqueName: "Order Date.Year", }, { uniqueName: "Order Date.Month", }, { uniqueName: "Order Date.Day", }, ], rows: [ { uniqueName: "Payment Type", }, ], columns: [ { uniqueName: "[Measures]", }, { uniqueName: "Referring Site", }, ], measures: [ { uniqueName: "Revenue", formula: 'sum("Amount") * sum("Price")', individual: true, caption: "Revenue", format: "currency", }, ], }; pivotReport.conditions = [ { formula: "#value < 45000", measure: "Revenue", format: { backgroundColor: "#df3800", color: "#fff", fontFamily: "Arial", fontSize: "12px", }, }, { formula: "#value > 400000", measure: "Revenue", format: { backgroundColor: "#00a45a", color: "#fff", fontFamily: "Arial", fontSize: "12px", }, }, ]; pivotReport.options = { viewType: "grid", }; pivotReport.formats = [ { name: "", thousandsSeparator: ",", decimalSeparator: ".", decimalPlaces: 0, }, { name: "currency", currencySymbol: "$", decimalPlaces: 2, }, ]; this.$refs.pivot.flexmonster.setReport(pivotReport); }, showColumnChart() { let pivotReport = this.$refs.pivot.flexmonster.getReport(); pivotReport.slice = { rows: [ { uniqueName: "Order Date.Month", }, ], columns: [ { uniqueName: "City", filter: { measure: { uniqueName: "Orders", aggregation: "sum", }, query: { top: 5, }, }, }, { uniqueName: "[Measures]", }, ], measures: [ { uniqueName: "Orders", aggregation: "sum", }, ], }; pivotReport.options = { viewType: "charts", chart: { type: "column", }, }; this.$refs.pivot.flexmonster.setReport(pivotReport); }, showLineChart() { let pivotReport = this.$refs.pivot.flexmonster.getReport(); pivotReport.slice = { rows: [ { uniqueName: "Order Date.Year", }, ], columns: [ { uniqueName: "[Measures]", }, { uniqueName: "Referring Site", filter: { measure: { uniqueName: "Orders", aggregation: "sum", }, query: { top: 2, }, }, }, ], measures: [ { uniqueName: "Orders", aggregation: "sum", }, ], sorting: { row: { type: "desc", tuple: [], measure: { uniqueName: "Orders", aggregation: "sum", }, }, }, }; pivotReport.options = { viewType: "charts", chart: { type: "line", }, }; this.$refs.pivot.flexmonster.setReport(pivotReport); }, showStackedColumn() { let pivotReport = this.$refs.pivot.flexmonster.getReport(); pivotReport.slice = { rows: [ { uniqueName: "Payment Type", filter: { measure: { uniqueName: "Orders", }, query: { top: 3, }, }, }, ], columns: [ { uniqueName: "Referring Site", filter: { measure: { uniqueName: "Orders", }, query: { top: 3, }, }, }, { uniqueName: "[Measures]", }, ], measures: [ { uniqueName: "Orders", aggregation: "sum", }, ], sorting: { column: { type: "desc", tuple: [], measure: { uniqueName: "Orders", aggregation: "sum", }, }, }, }; pivotReport.options = { viewType: "charts", chart: { type: "stacked_column", }, }; this.$refs.pivot.flexmonster.setReport(pivotReport); }, showBarChart() { let pivotReport = this.$refs.pivot.flexmonster.getReport(); pivotReport.slice = { rows: [ { uniqueName: "Referring Site", filter: { measure: { uniqueName: "Orders", aggregation: "sum", }, query: { top: 6, }, }, }, ], columns: [ { uniqueName: "[Measures]", }, { uniqueName: "Payment Type", filter: { members: ["payment type.[debit card]", "payment type.[invoice]"], }, }, ], measures: [ { uniqueName: "Orders", aggregation: "sum", }, ], }; pivotReport.options = { viewType: "charts", chart: { type: "bar_h", }, }; this.$refs.pivot.flexmonster.setReport(pivotReport); }, showPieChart() { let pivotReport = this.$refs.pivot.flexmonster.getReport(); pivotReport.slice = { rows: [ { uniqueName: "City", filter: { measure: { uniqueName: "Revenue", }, query: { top: 5, }, }, }, ], columns: [ { uniqueName: "[Measures]", }, ], measures: [ { uniqueName: "Revenue", formula: 'sum("Amount") * sum("Price")', individual: true, format: "currency", caption: "Revenue", }, ], }; pivotReport.options = { viewType: "charts", chart: { type: "pie", }, }; this.$refs.pivot.flexmonster.setReport(pivotReport); }, showScatterChart() { let pivotReport = this.$refs.pivot.flexmonster.getReport(); pivotReport.slice = { rows: [ { uniqueName: "Order Date.Year", }, ], columns: [ { uniqueName: "City", filter: { measure: { uniqueName: "Orders", aggregation: "sum", }, query: { top: 3, }, }, }, { uniqueName: "[Measures]", }, ], measures: [ { uniqueName: "Orders", aggregation: "sum", }, ], }; pivotReport.options = { viewType: "charts", chart: { type: "scatter", }, }; this.$refs.pivot.flexmonster.setReport(pivotReport); }, showColumnLineChart() { let pivotReport = this.$refs.pivot.flexmonster.getReport(); pivotReport.slice = { rows: [ { uniqueName: "Order Date.Year", }, ], columns: [ { uniqueName: "[Measures]", }, ], measures: [ { uniqueName: "Orders", aggregation: "sum", }, { uniqueName: "Revenue", formula: 'sum("Amount") * sum("Price")', individual: true, caption: "Revenue", format: "currency", }, ], }; pivotReport.options = { viewType: "charts", chart: { type: "column_line", }, }; pivotReport.formats = [ { name: "", thousandsSeparator: ",", decimalSeparator: ".", decimalPlaces: 0, }, { name: "currency", currencySymbol: "$", decimalPlaces: 2, }, ]; this.$refs.pivot.flexmonster.setReport(pivotReport); }, }, }; </script>
#fm-pivot-view .fm-chart .fm-circle { r: 8; } /* Chart style */ .fm-charts-color-1 { fill: rgb(0, 164, 90) !important; } .fm-charts-color-2 { fill: rgb(223, 56, 0) !important; } .fm-charts-color-3 { fill: rgb(255, 184, 0) !important; } .fm-charts-color-4 { fill: rgb(109, 59, 216) !important; } .fm-charts-color-5 { fill: rgb(0, 117, 255) !important; } #fm-pivot-view .fm-bar, #fm-pivot-view .fm-charts-view .fm-chart-legend ul li .fm-icon-display, #fm-pivot-view .fm-line, #fm-pivot-view .fm-arc path, #fm-pivot-view .fm-bar-stack, #fm-pivot-view .fm-scatter-point { opacity: 70% !important; } #fm-yAxis-label, #fm-xAxis > text, #fm-yAxis > text { display: none; }
After you add our web component into your Vue project you can filter, expand, collapse, drill up, and drill down the data hierarchies, drill through the chart's segments and control the legend's elements.
Use pivot charts to show the pivot data in graphical format, using 10 charts types: column chart, bar chart, line chart, scatter chart, pie chart, stacked column chart, and a combination of column and line chart.
Our drillable pivot charts are built-in so you can change you report dynamically switching between grid & charts views via UI or API calls.