It even supports curve fitting for easily discovering the trends in data. JIDE Charts supports multiple y axes and has special provision for displaying large datasets without the usual performance drawbacks. You can easily switch on the intuitive data exploration gesture of zooming and panning with the mouse - all it takes is a single line of code. However, we have already designed some great looking renderers: the points of an XY plot can be rendered as shiny spheres, the bars of a bar chart can be displayed as glossy cylinders or 3d blocks and a pie chart can be shown in a 3D style. The visual appearance of charts is highly customizable with choice of colours, shapes and sizes or custom renderers. Axes are defined independently, so you can plot a numerical axis against time-series values, categorical against categorical, or any combination you choose. So not only can you use an axis to display qualitative values (for example cold, tepid, warm, hot) but also to differentiate between different individuals in a model-driven coding effort. The concept of a category is very powerful because a Category instance can be created from any object - they do not have to be Strings or enums. JIDE Charts supports axes for the display of numerical, time-series or categorical data. As with JTable, the model layer is defined as an interface - which allows for custom implementations when advanced functionality is required - while the default implementation saves time and is very easy to use.
![java 3d plot java 3d plot](https://i.ytimg.com/vi/XJHEToBMexU/maxresdefault.jpg)
As you would expect, it embraces the model-view-controller pattern and has been designed so that you can easily switch from one visual paradigm to another - like switching from a bar chart to a pie chart - with minimal coding effort. It supports many different chart types including line plots, scatter plots, bar charts, pie charts and even gauges. support the interactive exploring of data.make it possible for a Swing developer to start working with charts within minutes.embrace the Swing MVC approach to offer maximum power and flexibility.
![java 3d plot java 3d plot](http://www.object-refinery.com/orsoncharts/images/BarChart3DDemo2_web.png)
Every aspect of CoPlot has been designed around one basic goal: to make a program that is so versatile that scientists and engineers can easily get exactly what they want. It was the frustrations with the flexibility of these other components that ledÄirectly to the development of JIDE Charts. CoPlot Version 6.45 is an incredibly versatile program for making publication-quality 2D and 3D scientific graphs (which plot data and equations), maps, and technical drawings. Used many different charting components in many different projects, and found them to be of varying JIDE Charts is a powerful and flexible charting package that can help the users of yourĪpplication to understand and explore their data as well as seeing it attractively presented.