-
Data Grid
- Overview
-
Data Binding
-
Paging and Scrolling
-
Editing
-
Grouping
-
Filtering and Sorting
- Focused Row
-
Row Drag & Drop
-
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
-
Filtering
-
Column Customization
- State Persistence
- Adaptability
- Keyboard Navigation
-
Scheduler
- Overview
-
Data Binding
-
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
-
Polar and Radar Charts
-
Range Charts
-
Sparkline Charts
-
Tree Map
-
Funnel and Pyramid Charts
- Sankey Chart
-
Combinations
-
More Features
-
Export
-
Selection
-
Tooltips
-
Zooming
-
-
Gantt
- Overview
-
Data
-
UI Customization
- Strip Lines
- Export to PDF
- Sorting
-
Filtering
-
Gauges
- Overview
-
Data Binding
-
Bar Gauge
-
Circular Gauge
-
Linear Gauge
-
Navigation
- Overview
- Accordion
-
Menu
- Multi View
-
Drawer
-
Tab Panel
-
Tabs
-
Toolbar
- Pagination
-
Tree View
- Right-to-Left Support
-
Layout
-
Editors
- Overview
- Autocomplete
-
Calendar
- Check Box
- Color Box
-
Date Box
-
Date Range Box
-
Drop Down Box
-
Number Box
-
Select Box
- Switch
-
Tag Box
- Text Area
- Text Box
- Validation
- Custom Text Editor Buttons
- Right-to-Left Support
- Editor Appearance Variants
-
Forms and Multi-Purpose
- Overview
- Button Group
- Field Set
-
Filter Builder
-
Form
- Radio Group
-
Range Selector
- Numeric Scale (Lightweight)
- Numeric Scale
- Date-Time Scale (Lightweight)
- Date-Time Scale
- Logarithmic Scale
- Discrete scale
- Custom Formatting
- Use Range Selection for Calculation
- Use Range Selection for Filtering
- Image on Background
- Chart on Background
- Customized Chart on Background
- Chart on Background with Series Template
- Range Slider
- Slider
-
Sortable
-
File Management
-
File Manager
- Overview
-
File System Types
-
Customization
-
File Uploader
-
-
Actions and Lists
- Overview
-
Action Sheet
-
Button
- Floating Action Button
- Drop Down Button
-
Context Menu
-
List
-
Lookup
-
Maps
- Overview
-
Map
-
Vector Map
-
Dialogs and Notifications
-
Localization
Related Demos:
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JavaScript/jQuery Charts - Simple Array
If you do not need to populate the Chart with data from a remote server, and the data does not change frequently, then bind the component to a local JavaScript array. Pass the array to the Chart's dataSource property.
www.datahub.io
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Backend API
$(() => {
$('#chart').dxChart({
dataSource: populationData,
legend: {
visible: false,
},
series: {
type: 'bar',
},
argumentAxis: {
tickInterval: 10,
label: {
format: {
type: 'decimal',
},
},
},
title: 'World Population by Decade',
});
});
<!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/24.1.6/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 id="chart"></div>
</div>
</body>
</html>
#chart {
height: 440px;
}
const populationData = [{
arg: 1960,
val: 3032019978,
}, {
arg: 1970,
val: 3683676306,
}, {
arg: 1980,
val: 4434021975,
}, {
arg: 1990,
val: 5281340078,
}, {
arg: 2000,
val: 6115108363,
}, {
arg: 2010,
val: 6922947261,
}, {
arg: 2020,
val: 7795000000,
}];
Once you assign the data source, specify the series type and its nested options: argumentField and valueField. If you specify these properties, the component can determine the object fields that indicate Chart arguments and values in the array. The default values for these properties are arg
and val
, respectively. You can use these data field names to structure your array as shown in this demo.