AntV G2 is a visualisation tool used for creating statistical charts with high interactivity. It is built on top of the data-driven grammar of graphics and provides a wide range of charting options such as bar charts, pie charts, line charts, scatter plots, and more. The tool enables users to create complex visualisations through a simple API, and it is compatible with multiple platforms and frameworks such as React and Vue.js. AntV G2 allows users to customize various aspects of their charts including color schemes, legends, labels, and tooltips. Additionally, it has support for animations which can enhance the user experience by adding more dynamism to the visualisations. This tool can be used for both static and real-time data visualisation applications. Overall, AntV G2 serves as a powerful tool for creating interactive, data-driven, and aesthetically pleasing statistical charts.
V1.2.0
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Alternatives to AntV G2
Thera are a total of 50 alternatives available for AntV G2
How to use AntV G2
AntV G2 is a powerful tool for creating data-driven visualizations for statistical charts. Here are some steps on how to use it:
-
First, you need to install the G2 library in your project through npm or yarn.
npm install @antv/g2
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After installing the library, you can import it into your project and create a chart instance.
import { Chart } from '@antv/g2'; const chart = new Chart({ container: 'chart-container', width: 500, height: 300, });
Here, we have created a basic chart instance that sets the container to render the chart, along with its width and height.
- Next, you need to specify the data to be rendered in the chart. You can pass data to the instance using the
chart
method.source()
chart.source(data);
Here,
data
- Once you have specified the data, you can start to create your chart by adding geometries such as lines, bars, and points.
chart.line().position('year*sales');
This code creates a line chart with the x-axis representing the "year" attribute of the data, and the y-axis representing the "sales" attribute of the data.
- Additionally, you can customize your chart by setting various properties such as axis labels, titles, and legends.
chart.axis('year', { label: { formatter: (val) => `${val}`, }, }).tooltip({ crosshairs: 'y', shared: true, });
Here, we are formatting the year axis label to display just the number value rather than the full date string. We are also enabling a tooltip that displays additional information when hovering over data points.
- Finally, you can render the chart by calling the method on the
render()
instance.chart
chart.render();
This code will display the chart in the container specified earlier.
Using the steps above, you can quickly start creating a wide range of interactive charts and graphs with AntV G2.
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