VChart 1.13.0
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VChart Story Teller

Not only an out-of-the-box multi-terminal chart library, but also a vivid and flexible data storyteller.

VTable Checkered Artist

Not only a high-performance multi-dimensional data analysis form, but also a grid artist created between rows and columns.

VGrammar Data Magician

It is not only a visual grammar that generates thousands of charts, but also a data magician who turns boring into magic.

VRender Visual Rendering

Not only a visual rendering engine with rich functions, but also a handy pen.

VMind Smart Visualization Suit

Not just automatic, but also fantastic.

VStory Relationship Explorer plus

It is not only a fully functional graph visualization library, but also an explorer of data relationships.

!!!###!!!title=Basic Heatmap——VisActor/VChart demo!!!###!!!!!!###!!!description=In the rectangular coordinate system, the heatmap requires both the x-axis and the y-axis to be discrete axes. The configuration requires a `valueField` in addition to what a bar chart has, which is used to specify the weights at a specific discrete coordinates. A common example is using a heatmap to represent the correlation coefficients between statistical variables. According to the size of the correlation coefficient corresponding to the different colors of squares in the heatmap, the size of the correlation between variables can be inferred. This example, based on 2016 listed company data, explores the correlation between various indicators of listed companies by drawing a heatmap.!!!###!!!

Basic Heatmap

Name
Heatmap
Target
Relationship
Comparison
Distribution
Trend
Shape
Rectangle

mobile

In the rectangular coordinate system, the heatmap requires both the x-axis and the y-axis to be discrete axes. The configuration requires a valueField in addition to what a bar chart has, which is used to specify the weights at a specific discrete coordinates.

A common example is using a heatmap to represent the correlation coefficients between statistical variables. According to the size of the correlation coefficient corresponding to the different colors of squares in the heatmap, the size of the correlation between variables can be inferred.

This example, based on 2016 listed company data, explores the correlation between various indicators of listed companies by drawing a heatmap.

PX
x
PX
%