VChart 1.13.2
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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=symlog轴——VisActor/VChart demo!!!###!!!!!!###!!!description=A Symlog axis is a type of axis used for drawing charts that balances between logarithmic and linear axes while retaining the advantages of logarithmic axes and linear axes. The Symlog axis is characterized by symmetry, that is, the scale lines of positive and negative values ​​are symmetrically distributed on both sides of the axis, which helps to better display the positive and negative relationship of the data. The tick marks on the Symlog axis are usually distributed on a logarithmic axis, but in the area close to 0, the tick marks are converted to a linear axis distribution to better display the absolute value of the data.!!!###!!!

symlog轴

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Line Chart
Target
Comparison
Composition
Trend
Component
Axis

mobile

A Symlog axis is a type of axis used for drawing charts that balances between logarithmic and linear axes while retaining the advantages of logarithmic axes and linear axes. The Symlog axis is characterized by symmetry, that is, the scale lines of positive and negative values ​​are symmetrically distributed on both sides of the axis, which helps to better display the positive and negative relationship of the data. The tick marks on the Symlog axis are usually distributed on a logarithmic axis, but in the area close to 0, the tick marks are converted to a linear axis distribution to better display the absolute value of the data.

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