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Data Grid
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Grouping
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Filtering and Sorting
- Focused Row
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Row Drag & Drop
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Selection
-
Columns
- State Persistence
-
Appearance
-
Templates
-
Data Summaries
-
Master-Detail
-
Export to PDF
-
Export to Excel
-
Adaptability
- Keyboard Navigation
-
Pivot Grid
- Overview
-
Data Binding
-
Field Chooser
-
Features
-
Export to Excel
-
Tree List
- Overview
-
Data Binding
- Sorting
- Paging
-
Editing
- Node Drag & Drop
- Focused Row
-
Selection
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Filtering
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Column Customization
- State Persistence
- Adaptability
- Keyboard Navigation
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Scheduler
- Overview
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Views
-
Features
- Virtual Scrolling
-
Grouping
-
Customization
- Adaptability
-
Html Editor
-
Chat
-
Diagram
- Overview
-
Data Binding
-
Featured Shapes
-
Custom Shapes
-
Document Capabilities
-
User Interaction
- UI Customization
- Adaptability
-
Charts
- Overview
-
Data Binding
-
Area Charts
-
Bar Charts
- Bullet Charts
-
Doughnut Charts
-
Financial Charts
-
Line Charts
-
Pie Charts
-
Point Charts
-
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-
Range Charts
-
Sparkline Charts
-
Tree Map
-
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- Sankey Chart
-
Combinations
-
More Features
-
Export
-
Selection
-
Tooltips
-
Zooming
-
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Gantt
- Overview
-
Data
-
UI Customization
- Strip Lines
- Export to PDF
- Sorting
-
Filtering
-
Gauges
- Overview
-
Data Binding
-
Bar Gauge
-
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-
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-
Navigation
- Overview
- Accordion
-
Menu
- Multi View
-
Drawer
-
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-
Tabs
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Toolbar
- Pagination
-
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- Right-to-Left Support
-
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-
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- Overview
- Autocomplete
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- Check Box
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Date Box
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JavaScript/jQuery Charts - Winloss Sparklines
This demo illustrates the sparklines of the win-loss type. In the winloss sparkline, values are represented by bars that either grow up or go down from an invisible line. This line is determined by a threshold value. If a data source value is greater than this threshold value, the bar grows up. Otherwise, it goes down.
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Backend API
$(() => {
const alumOptions = {
dataSource: aluminumCosts,
argumentField: 'month',
valueField: '2010',
type: 'winloss',
showMinMax: true,
winlossThreshold: 2100,
tooltip: {
format: 'currency',
},
};
const nickOptions = {
dataSource: nickelCosts,
argumentField: 'month',
valueField: '2010',
type: 'winloss',
showMinMax: true,
showFirstLast: false,
winColor: '#6babac',
lossColor: '#8076bb',
winlossThreshold: 19000,
tooltip: {
format: 'currency',
},
};
const copOptions = {
dataSource: copperCosts,
argumentField: 'month',
valueField: '2010',
type: 'winloss',
winlossThreshold: 8000,
winColor: '#7e4452',
lossColor: '#ebdd8f',
firstLastColor: '#e55253',
tooltip: {
format: 'currency',
},
};
$('.alum2010').dxSparkline(alumOptions);
$('.nick2010').dxSparkline(nickOptions);
$('.cop2010').dxSparkline(copOptions);
$('.alum2011').dxSparkline($.extend(alumOptions, { valueField: '2011' }));
$('.nick2011').dxSparkline($.extend(nickOptions, { valueField: '2011' }));
$('.cop2011').dxSparkline($.extend(copOptions, { valueField: '2011' }));
$('.alum2012').dxSparkline($.extend(alumOptions, { valueField: '2012' }));
$('.nick2012').dxSparkline($.extend(nickOptions, { valueField: '2012' }));
$('.cop2012').dxSparkline($.extend(copOptions, { valueField: '2012' }));
});
<!DOCTYPE html>
<html xmlns="http://www.w3.org/1999/xhtml" lang="en">
<head>
<title>DevExtreme Demo</title>
<meta http-equiv="X-UA-Compatible" content="IE=edge" />
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0, maximum-scale=5.0" />
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.5.1/jquery.min.js"></script>
<script>window.jQuery || document.write(decodeURIComponent('%3Cscript src="js/jquery.min.js"%3E%3C/script%3E'))</script>
<link rel="stylesheet" type="text/css" href="https://cdn3.devexpress.com/jslib/24.1.7/css/dx.light.css" />
<script src="js/dx.all.js"></script>
<script src="data.js"></script>
<link rel="stylesheet" type="text/css" href="styles.css" />
<script src="index.js"></script>
</head>
<body class="dx-viewport">
<div class="demo-container">
<div class="long-title"><h3>Monthly Prices of Aluminium, Nickel and Copper</h3></div>
<div id="chart-demo">
<table class="demo-table" border="1">
<tr>
<th></th>
<th>Aluminium (USD/ton)</th>
<th>Nickel (USD/ton)</th>
<th>Copper (USD/ton)</th>
</tr>
<tr>
<th>2010</th>
<td><div class="sparkline alum2010"></div></td>
<td><div class="sparkline nick2010"></div></td>
<td><div class="sparkline cop2010"></div></td>
</tr>
<tr>
<th>2011</th>
<td><div class="sparkline alum2011"></div></td>
<td><div class="sparkline nick2011"></div></td>
<td><div class="sparkline cop2011"></div></td>
</tr>
<tr>
<th>2012</th>
<td><div class="sparkline alum2012"></div></td>
<td><div class="sparkline nick2012"></div></td>
<td><div class="sparkline cop2012"></div></td>
</tr>
</table>
</div>
</div>
</body>
</html>
#chart-demo {
height: 440px;
}
.demo-table {
width: 100%;
border: 1px solid #c2c2c2;
border-collapse: collapse;
}
.demo-table th,
.demo-table td {
font-weight: 400;
width: 200px;
padding: 25px 10px 5px 10px;
border: 1px solid #c2c2c2;
}
.demo-table th {
padding: 25px 15px 20px 15px;
border: 1px solid #c2c2c2;
}
.demo-table tr:nth-child(2) td {
border-top: 1px solid #c2c2c2;
}
.demo-table td:first-of-type {
border-left: 1px solid #c2c2c2;
}
.demo-table .sparkline {
width: 200px;
height: 30px;
}
.long-title h3 {
font-weight: 200;
font-size: 28px;
text-align: center;
margin-bottom: 20px;
margin-top: 0;
}
const aluminumCosts = [{
month: 1,
2010: 2262,
2011: 2454,
2012: 2262,
}, {
month: 2,
2010: 2087,
2011: 2537,
2012: 2087,
}, {
month: 3,
2010: 2238,
2011: 2586,
2012: 2238,
}, {
month: 4,
2010: 2349,
2011: 2689,
2012: 2349,
}, {
month: 5,
2010: 2071,
2011: 2591,
2012: 2071,
}, {
month: 6,
2010: 1957,
2011: 2584,
2012: 1957,
}, {
month: 7,
2010: 2008,
2011: 2554,
2012: 2008,
}, {
month: 8,
2010: 2119,
2011: 2413,
2012: 2119,
}, {
month: 9,
2010: 2199,
2011: 2327,
2012: 2199,
}, {
month: 10,
2010: 2374,
2011: 2210,
2012: 2374,
}, {
month: 11,
2010: 2354,
2011: 2102,
2012: 2354,
}, {
month: 12,
2010: 2369,
2011: 2038,
2012: 2369,
}];
const nickelCosts = [{
month: 1,
2010: 18974,
2011: 24298,
2012: 18322,
}, {
month: 2,
2010: 18162,
2011: 27929,
2012: 21093,
}, {
month: 3,
2010: 20535,
2011: 28802,
2012: 19701,
}, {
month: 4,
2010: 24562,
2011: 26142,
2012: 17695,
}, {
month: 5,
2010: 26131,
2011: 26753,
2012: 17549,
}, {
month: 6,
2010: 19278,
2011: 23055,
2012: 16436,
}, {
month: 7,
2010: 19475,
2011: 22870,
2012: 16382,
}, {
month: 8,
2010: 20701,
2011: 24388,
2012: 15687,
}, {
month: 9,
2010: 21266,
2011: 21845,
2012: 16085,
}, {
month: 10,
2010: 23358,
2011: 18346,
2012: 18250,
}, {
month: 11,
2010: 23150,
2011: 18822,
2012: 16083,
}, {
month: 12,
2010: 23282,
2011: 17320,
2012: 17104,
}];
const copperCosts = [{
month: 1,
2010: 7341,
2011: 9585,
2012: 7501,
}, {
month: 2,
2010: 7016,
2011: 10026,
2012: 8470,
}, {
month: 3,
2010: 7202,
2011: 9889,
2012: 8591,
}, {
month: 4,
2010: 7851,
2011: 9460,
2012: 8459,
}, {
month: 5,
2010: 7481,
2011: 9373,
2012: 8320,
}, {
month: 6,
2010: 6532,
2011: 9108,
2012: 7465,
}, {
month: 7,
2010: 6498,
2011: 9295,
2012: 7475,
}, {
month: 8,
2010: 7191,
2011: 9834,
2012: 7430,
}, {
month: 9,
2010: 7596,
2011: 9121,
2012: 7614,
}, {
month: 10,
2010: 8057,
2011: 7125,
2012: 8245,
}, {
month: 11,
2010: 8373,
2011: 7871,
2012: 7727,
}, {
month: 12,
2010: 8636,
2011: 7725,
2012: 7880,
}];